Transaction
ID: 729ea7646c...eed6
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00143748 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0017 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00143748 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0006 ERG
Transaction Details
Confirmations: 82,633
Total coins transferred: 0.00313748 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000259 ERG
Raw Transaction Data
{
"id": "729ea7646cb221e0d32b2e8eccaf54b6daaabaefa09b2dbcd01d68f871d1eed6",
"blockId": "16a8cf35d7148c940e1cb7d05dce75beb78827b5482c06eded9cbbe6e83c7e1e",
"inclusionHeight": 1695386,
"timestamp": 1767881900623,
"index": 6,
"globalIndex": 10112875,
"numConfirmations": 82633,
"inputs": [
{
"boxId": "1f2fd6c66664cd5a04399c20b9c6d093a31033d5bf5951d086286899b66cbeac",
"value": 1437480,
"index": 0,
"spendingProof": null,
"outputBlockId": "44bc432b06508f0d37a0e8627ae91d2f7f6159165df81cc9bb744ad8f9fd4fb2",
"outputTransactionId": "29ccac73704bb314952f33b9c73c7496e8b722c7834e060a5d8847b76b56bdf1",
"outputIndex": 0,
"outputGlobalIndex": 52840618,
"outputCreatedAt": 1695237,
"outputSettledAt": 1695239,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(83,-123,-34,-55,49,-86,-92,-38,-3,22,121,47,-115,54,19,-112,-16,96,38,64,-87,104,-38,116,109,46,120,95,-69,-50,-126,110)\n2: 0\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 1\n9: 0\n10: true\n11: Coll(3,119,75,87,95,-98,29,-103,49,-2,-104,-124,71,49,118,-34,109,19,-84,-57,-62,-120,30,-8,111,74,-123,-101,-6,-20,29,-78)\n12: 1\n13: 0\n14: false\n15: true\n16: 10\n17: false\n18: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n19: 0\n20: Coll(-126,-103,-39,-114,21,-21,-18,127,-93,-102,-41,22,-34,124,-117,-79,-111,121,10,27,-12,-73,-61,-7,26,-13,90,14,54,24,119,6)\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 1\n27: 2\n28: 3\n29: 3\n30: 4\n31: 4\n32: 5\n33: 5\n34: 0\n35: 0\n36: 1\n37: 3\n38: 1\n39: false\n40: false\n41: false\n42: 2\n43: 0\n44: 5\n45: Coll(-101,3,101,37,50,25,-79,-73,50,0,107,-13,-81,-26,110,-50,-104,-49,-42,19,44,42,119,-41,74,81,-23,-88,8,-34,63,122)\n46: 1\n47: 1\n48: 2\n49: 30\n50: false\n51: 0\n52: 0\n53: 0\n54: 1000000\n55: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n val coll6 = SELF.R6[Coll[Byte]].get\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val tuple8 = SELF.R5[(Coll[Byte], Long)].get\n val coll9 = tuple8._1\n val coll10 = SELF.R9[Coll[Coll[Byte]]].get\n val coll11 = coll10(placeholder[Int](3))\n val l12 = coll3(placeholder[Int](4))\n val func13 = {(box13: Box) =>\n box13.tokens.filter({(tuple15: (Coll[Byte], Long)) => tuple15._1 == coll11 }).fold(\n placeholder[Long](5), {(tuple15: (Long, (Coll[Byte], Long))) => tuple15._1 + tuple15._2._2 }\n )\n }\n val l14 = coll3(placeholder[Int](6))\n val coll15 = SELF.R7[Coll[Coll[Byte]]].get\n val l16 = tuple8._2\n sigmaProp((i1 == placeholder[Int](7)) && ((if (l2 >= l4) {(\n val coll17 = OUTPUTS.filter({(box17: Box) => blake2b256(box17.propositionBytes) == coll5 })\n if (coll17.size == placeholder[Int](8)) {(\n val box18 = coll17(placeholder[Int](9))\n val tuple19 = box18.R6[(Coll[Byte], Coll[Byte])].get\n val coll20 = tuple19._1\n val coll21 = tuple19._2\n val coll22 = Coll[Byte]()\n if (((blake2b256(coll20) == coll6) && (blake2b256(box18.propositionBytes) == coll5)) && if (coll21 == coll22) { placeholder[Boolean](10) } else {(\n val coll23 = CONTEXT.dataInputs.filter({(box23: Box) => ((blake2b256(box23.propositionBytes) == placeholder[Coll[Byte]](11)) && (box23.R6[Coll[Byte]].get == coll7)) && (box23.R5[Coll[Byte]].get == coll21) })\n if (coll23.size == placeholder[Int](12)) {(\n val box24 = coll23(placeholder[Int](13))\n val coll25 = box24.R9[Coll[Long]].get\n ((coll25.fold(placeholder[Boolean](14), {(tuple26: (Boolean, Long)) =>\n val bool28 = tuple26._1\n if (bool28) { bool28 } else { if (blake2b256(box24.R7[Coll[Byte]].get.append(coll9).append(longToByteArray(tuple26._2)).append(box24.R8[Coll[Byte]].get).append(box24.R4[Coll[Byte]].get).append(coll20)) == box24.R5[Coll[Byte]].get) { placeholder[Boolean](15) } else { bool28 } }\n }) && if (coll11 == coll22) { box24.value >= l12 } else { box24.tokens.exists({(tuple26: (Coll[Byte], Long)) => (tuple26._1 == coll11) && (tuple26._2 >= l12) }) }) && (box24.creationInfo._1.toLong < l4)) && (coll25.size.toLong <= placeholder[Long](16))\n )} else { placeholder[Boolean](17) }\n )}) {(\n val coll23 = CONTEXT.dataInputs.filter({(box23: Box) => ((((((blake2b256(box23.propositionBytes) == placeholder[Coll[Byte]](18)) && (box23.tokens.size > placeholder[Int](19))) && (box23.R4[Coll[Byte]].get == placeholder[Coll[Byte]](20))) && (box23.R5[Coll[Byte]].get == coll7)) && box23.R6[Boolean].get) && box23.R8[Boolean].get) && coll15.exists({(coll25: Coll[Byte]) => coll25 == box23.tokens(placeholder[Int](21))._1 }) })\n val coll24 = coll23.map({(box24: Box) => box24.tokens(placeholder[Int](22))._1 })\n ((((((((((((((func13(box18) >= l14) && (box18.tokens.filter({(tuple25: (Coll[Byte], Long)) => tuple25._1 == coll7 }).size == placeholder[Int](23))) && (box18.R4[Int].get == placeholder[Int](24))) && (box18.R5[Coll[Byte]].get == coll9)) && (box18.R7[Coll[Coll[Byte]]].get == coll15)) && (box18.R8[Coll[Long]].get(placeholder[Int](25)) == l4)) && (box18.R8[Coll[Long]].get(placeholder[Int](26)) == l14)) && (box18.R8[Coll[Long]].get(placeholder[Int](27)) == l12)) && (box18.R8[Coll[Long]].get(placeholder[Int](28)) == coll3(placeholder[Int](29)))) && (box18.R8[Coll[Long]].get(placeholder[Int](30)) >= coll3(placeholder[Int](31)))) && (box18.R8[Coll[Long]].get(placeholder[Int](32)) >= l2 + placeholder[Long](33))) && (box18.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == coll10(placeholder[Int](35)))) && (box18.R9[Coll[Coll[Byte]]].get(placeholder[Int](36)) == coll11)) && (box18.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](37))) && coll24.indices.forall({(i25: Int) => !coll24.slice(i25 + placeholder[Int](38), coll23.size).exists({(coll27: Coll[Byte]) => coll27 == coll24(i25) }) })\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } || if ((l2 < l4) && (OUTPUTS.size >= placeholder[Int](42))) {(\n val box17 = OUTPUTS(placeholder[Int](43))\n val l18 = l14 - l14 / placeholder[Long](44)\n ((((((((blake2b256(box17.propositionBytes) == placeholder[Coll[Byte]](45)) && (func13(box17) >= l18)) && (box17.tokens.filter({(tuple19: (Coll[Byte], Long)) => (tuple19._1 == coll7) && (tuple19._2 == placeholder[Long](46)) }).size == placeholder[Int](47))) && (box17.R4[Int].get == placeholder[Int](48))) && (box17.R5[Long].get >= l2 + placeholder[Long](49))) && (blake2b256(box17.R6[Coll[Byte]].get) == coll6)) && (box17.R7[Long].get == l18)) && (box17.R8[Long].get == l4)) && (box17.R9[Coll[Coll[Byte]]].get == coll10)\n )} else { placeholder[Boolean](50) }) || if ((l2 < l16) && (OUTPUTS.size > placeholder[Int](51))) {(\n val box17 = OUTPUTS.filter({(box17: Box) => blake2b256(box17.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](52))\n val l18 = box17.value\n val tuple19 = box17.R5[(Coll[Byte], Long)].get\n ((((((((box17.tokens(placeholder[Int](53))._1 == coll7) && ((l18 >= placeholder[Long](54)) && (l18 == SELF.value))) && (tuple19._1 == blake2b256(coll9.append(SELF.id)))) && (tuple19._2 == l16)) && (box17.R4[Int].get == i1)) && (box17.R6[Coll[Byte]].get == coll6)) && (box17.R7[Coll[Coll[Byte]]].get == coll15)) && (box17.R8[Coll[Long]].get == coll3)) && (box17.R9[Coll[Coll[Byte]]].get == coll10)\n )} else { placeholder[Boolean](55) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "9c17dccbdea7041f524315bbdba68a04c7d9fa05961d87705f7cc4a455ccaaa7",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 500,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e080f9f5f05d2a29bd28cf8ce01",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[0f9f5f05d2a29bd2,1695238]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1105b0f8ce01e807c801a08d0680b518",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1695256,500,100,50000,200000]"
},
"R7": {
"serializedValue": "1a0120758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9]"
},
"R9": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[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,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "3e27bd54355bd5580c369e5673516bc58dfa2fe7dccbba67090b650ba84bbd3c",
"value": 1700000,
"index": 1,
"spendingProof": "20363b2f93e199e18a2cca0dd980ffc80d456c2245f9c63c6b0dd7d0663c629aebfb65dd0de4087c6c98a777386215a479739ad4fcbafad8",
"outputBlockId": "90e9058710b0e4091ced1560794e63332a18549e258d3c01aca2623fe9e04832",
"outputTransactionId": "ba47fb4225412d95f54c148bbd0749a3183da3d02b7aef90a0a96cb988e9b803",
"outputIndex": 3,
"outputGlobalIndex": 52840631,
"outputCreatedAt": 1695239,
"outputSettledAt": 1695240,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "40a66d337aa899bb03d6ab4be2b2c8a185d9b978736771db9e154b61375cab99",
"value": 1000000,
"index": 0,
"outputBlockId": "90e9058710b0e4091ced1560794e63332a18549e258d3c01aca2623fe9e04832",
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"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[SByte]",
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},
"R6": {
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"sigmaType": "SBoolean",
"renderedValue": "true"
},
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"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7"
},
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},
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}
}
},
{
"boxId": "0ca7450ed46d60587fd74ba48d1e27da0df1e6719134b4410f958a1aecfcea5e",
"value": 1000000,
"index": 1,
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"outputTransactionId": "05d88e83d0daacc27c5b05858da391ef6218b3878236f25bed98dc42e41f85e2",
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"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "1dc84a07c41754f58ca7a41c6ac74ed9fb76dc85830f957eda59b0e62b780f16"
},
"R6": {
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},
"R8": {
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},
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"sigmaType": "Coll[SByte]",
"renderedValue": "6b0fd3bb639df1f45a1f39411a5d03caf1c2c477077f9d742a4582337f1732dc"
},
"R9": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[30,12,10,3,20]"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7"
}
}
}
],
"outputs": [
{
"boxId": "93efe8905fc63892fbe37cb299fa5d096222749c1b2996a5b2086671598145cd",
"transactionId": "729ea7646cb221e0d32b2e8eccaf54b6daaabaefa09b2dbcd01d68f871d1eed6",
"blockId": "16a8cf35d7148c940e1cb7d05dce75beb78827b5482c06eded9cbbe6e83c7e1e",
"value": 1437480,
"index": 0,
"globalIndex": 52844832,
"creationHeight": 1695385,
"settlementHeight": 1695386,
"ergoTree": 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"ergoTreeConstants": "0: 5\n1: Coll(3,119,75,87,95,-98,29,-103,49,-2,-104,-124,71,49,118,-34,109,19,-84,-57,-62,-120,30,-8,111,74,-123,-101,-6,-20,29,-78)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 2\n7: -1\n8: false\n9: true\n10: 1\n11: 3\n12: 4\n13: 2\n14: Coll(0,8,-51,2,90,-56,-85,24,63,-3,-29,96,104,96,49,32,-80,10,-51,-15,65,-71,31,-28,-32,-64,-58,-43,98,-75,-14,78,30,44,-62,-47)\n15: Coll(0,8,-51)\n16: 1\n17: 1\n18: 1\n19: 1\n20: 0\n21: 0\n22: 10\n23: -1\n24: 1\n25: 0\n26: -1\n27: 0\n28: 1\n29: 0\n30: 1\n31: 2\n32: 3\n33: 4\n34: 5\n35: 0\n36: 0\n37: 1\n38: 2\n39: 5\n40: 5\n41: 3\n42: false\n43: false\n44: false\n45: false\n46: false\n47: 0\n48: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n49: 0\n50: Coll(-10,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-40)\n51: 0\n52: 0\n53: 1\n54: 0\n55: 0\n56: 2\n57: 1\n58: 1\n59: 0\n60: true\n61: 1\n62: 0\n63: 10\n64: false\n65: 1\n66: 0\n67: 5\n68: 5\n69: 0\n70: 1\n71: 0\n72: 1\n73: 2\n74: 3\n75: 4\n76: 0\n77: false\n78: false\n79: false\n80: 0\n81: Coll(-65,-122,-35,24,-60,88,124,-14,-74,117,-80,126,44,-32,-26,-118,-31,-2,87,53,-62,-85,-26,108,-16,52,-91,11,20,-12,-64,110)\n82: 0\n83: 1000000\n84: 50000\n85: 1000000\n86: 0\n87: 0\n88: 0\n89: true\n90: 0\n91: Coll(25,-72,3,14,5,0,5,0,4,0,14,32,58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107,4,0,4,0,4,0,4,2,1,0,5,0,5,0,4,0,4,2,1,1,-40,4,-42,1,-39,1,1,99,-80,-75,-37,99,8,114,1,-39,1,3,77,14,-109,-116,114,3,1,-28,-58,-89,5,14,115,0,-39,1,3,65)\n92: 1\n93: 0\n94: false\n95: true\n96: 0\n97: 3\n98: 3\n99: 5\n100: 0\n101: 0\n102: 0\n103: 3\n104: 3\n105: false\n106: 1\n107: 0\n108: 10\n109: 1000000\n110: 0\n111: 0\n112: 0\n113: 0\n114: 0\n115: 0\n116: 0\n117: 0\n118: 0\n119: true\n120: 0\n121: 0\n122: true\n123: false\n124: false\n125: 0\n126: 0\n127: 0\n128: 0\n129: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val bool5 = l2 < l4\n val coll6 = placeholder[Coll[Byte]](1)\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val tuple8 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n val coll9 = tuple8._2\n val l10 = coll3(placeholder[Int](3))\n val coll11 = SELF.R9[Coll[Coll[Byte]]].get\n val coll12 = coll11(placeholder[Int](4))\n val func13 = {(box13: Box) =>\n box13.tokens.filter({(tuple15: (Coll[Byte], Long)) => tuple15._1 == coll12 }).fold(\n placeholder[Long](5), {(tuple15: (Long, (Coll[Byte], Long))) => tuple15._1 + tuple15._2._2 }\n )\n }\n val l14 = coll3(placeholder[Int](6))\n val coll15 = SELF.R5[Coll[Byte]].get\n val coll16 = tuple8._1\n val func17 = {(box17: Box) => box17.R9[Coll[Long]].get.fold((placeholder[Long](7), placeholder[Boolean](8)), {(tuple19: ((Long, Boolean), Long)) =>\n val tuple21 = tuple19._1\n val l22 = tuple19._2\n if (tuple21._2) { tuple21 } else { if (blake2b256(box17.R7[Coll[Byte]].get.append(coll15).append(longToByteArray(l22)).append(box17.R8[Coll[Byte]].get).append(box17.R4[Coll[Byte]].get).append(coll16)) == box17.R5[Coll[Byte]].get) { (l22, placeholder[Boolean](9)) } else { tuple21 } }\n }) }\n val coll18 = SELF.R7[Coll[Coll[Byte]]].get\n val l19 = coll3(placeholder[Int](10))\n val l20 = coll3(placeholder[Int](11))\n val l21 = coll3(placeholder[Int](12))\n val coll22 = coll11(placeholder[Int](13))\n val coll23 = placeholder[Coll[Byte]](14)\n val coll24 = placeholder[Coll[Byte]](15)\n sigmaProp(i1 == placeholder[Int](16)) && sigmaProp(if ((bool5 && (INPUTS.size > placeholder[Int](17))) && (OUTPUTS.size > placeholder[Int](18))) {(\n val coll25 = CONTEXT.dataInputs\n val coll26 = coll25.filter({(box26: Box) => ((blake2b256(box26.propositionBytes) == coll6) && (box26.R6[Coll[Byte]].get == coll7)) && (box26.R5[Coll[Byte]].get != coll9) })\n if (coll26.size == placeholder[Int](19)) {(\n val box27 = coll26(placeholder[Int](20))\n val box28 = OUTPUTS(placeholder[Int](21))\n if (((((blake2b256(box27.propositionBytes) == coll6) && (box27.R6[Coll[Byte]].get == coll7)) && (box27.creationInfo._1.toLong < l10)) && (func13(box27) >= l14)) && (box27.R9[Coll[Long]].get.size.toLong <= placeholder[Long](22))) {(\n val l29 = func17(box27)._1\n val bool30 = l29 != placeholder[Long](23)\n if (bool30) {(\n val coll31 = Coll[Byte]()\n val coll32 = if (coll9 == coll31) { box27.R5[Coll[Byte]].get } else {(\n val coll32 = coll25.filter({(box32: Box) => ((blake2b256(box32.propositionBytes) == coll6) && (box32.R5[Coll[Byte]].get == coll9)) && (box32.R6[Coll[Byte]].get == coll7) })\n if (coll32.size == placeholder[Int](24)) {(\n val box33 = coll32(placeholder[Int](25))\n val tuple34 = func17(box33)\n val l35 = tuple34._1\n if (tuple34._2 && (l35 != placeholder[Long](26))) {(\n val i36 = box27.creationInfo._1\n val l37 = l29 * l10 - i36.toLong\n val i38 = box33.creationInfo._1\n val l39 = l35 * l10 - i38.toLong\n if ((l37 > l39) || ((l37 == l39) && (i36 < i38))) { box27.R5[Coll[Byte]].get } else { coll31 }\n )} else { coll31 }\n )} else { coll31 }\n )}\n if ((coll32 != coll31) && (coll32 != coll9)) { ((((((((((((((((((func13(box28) >= func13(SELF)) && (box28.tokens(placeholder[Int](27))._1 == coll7)) && (box28.R4[Int].get == i1)) && (i1 == placeholder[Int](28))) && (box28.R5[Coll[Byte]].get == coll15)) && (box28.R6[(Coll[Byte], Coll[Byte])].get._1 == coll16)) && (box28.R6[(Coll[Byte], Coll[Byte])].get._2 == coll32)) && (box28.R7[Coll[Coll[Byte]]].get == coll18)) && (box28.R8[Coll[Long]].get(placeholder[Int](29)) == l10)) && (box28.R8[Coll[Long]].get(placeholder[Int](30)) == l19)) && (box28.R8[Coll[Long]].get(placeholder[Int](31)) == l14)) && (box28.R8[Coll[Long]].get(placeholder[Int](32)) == l20)) && (box28.R8[Coll[Long]].get(placeholder[Int](33)) == l21)) && (box28.R8[Coll[Long]].get(placeholder[Int](34)) == l4)) && (box28.R9[Coll[Coll[Byte]]].get(placeholder[Int](35)) == coll11(placeholder[Int](36)))) && (box28.R9[Coll[Coll[Byte]]].get(placeholder[Int](37)) == coll12)) && ((box28.R9[Coll[Coll[Byte]]].get(placeholder[Int](38)) == coll22) || (l4 - placeholder[Long](39) + placeholder[Long](40) < l2))) && (box28.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](41))) && bool30 } else { placeholder[Boolean](42) }\n )} else { placeholder[Boolean](43) }\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) }\n )} else { placeholder[Boolean](46) }) || sigmaProp(if (bool5 && (CONTEXT.dataInputs.size > placeholder[Int](47))) {(\n val coll25 = CONTEXT.dataInputs\n val coll26 = coll25.filter({(box26: Box) => ((((((blake2b256(box26.propositionBytes) == placeholder[Coll[Byte]](48)) && (box26.tokens.size > placeholder[Int](49))) && (box26.R4[Coll[Byte]].get == placeholder[Coll[Byte]](50))) && (box26.R5[Coll[Byte]].get == coll9)) && box26.R6[Boolean].get) && (!box26.R8[Boolean].get)) && coll18.exists({(coll28: Coll[Byte]) => coll28 == box26.tokens(placeholder[Int](51))._1 }) })\n val coll27 = coll26.map({(box27: Box) => box27.tokens(placeholder[Int](52))._1 })\n val i28 = coll26.size\n val i29 = coll18.size\n val coll30 = OUTPUTS.filter({(box30: Box) => box30.propositionBytes == SELF.propositionBytes })\n if ((coll27.indices.forall({(i31: Int) => !coll27.slice(i31 + placeholder[Int](53), i28).exists({(coll33: Coll[Byte]) => coll33 == coll27(i31) }) }) && (i28 >= if (i29 == placeholder[Int](54)) { placeholder[Int](55) } else { i29 / placeholder[Int](56) + placeholder[Int](57) })) && (coll30.size == placeholder[Int](58))) {(\n val box31 = coll30(placeholder[Int](59))\n val coll32 = box31.R6[(Coll[Byte], Coll[Byte])].get._2\n val coll33 = INPUTS.filter({(box33: Box) => (blake2b256(box33.propositionBytes) == coll6) && (box33.R5[Coll[Byte]].get == coll9) })\n if (if (coll32 == Coll[Byte]()) { placeholder[Boolean](60) } else {(\n val coll34 = coll25.filter({(box34: Box) => ((blake2b256(box34.propositionBytes) == coll6) && (box34.R6[Coll[Byte]].get == coll7)) && (box34.R5[Coll[Byte]].get == coll32) })\n if (coll34.size == placeholder[Int](61)) {(\n val box35 = coll34(placeholder[Int](62))\n ((func17(box35)._2 && (func13(box35) >= l14)) && (box35.creationInfo._1.toLong < l10)) && (box35.R9[Coll[Long]].get.size.toLong <= placeholder[Long](63))\n )} else { placeholder[Boolean](64) }\n )} && (coll33.size == placeholder[Int](65))) {(\n val coll34 = box31.R8[Coll[Long]].get\n ((func13(box31) >= func13(SELF) + func13(coll33(placeholder[Int](66)))) && (coll34(placeholder[Int](67)) >= l2 + placeholder[Long](68))) && (((((((((((box31.tokens(placeholder[Int](69))._1 == coll7) && (box31.R4[Int].get == i1)) && (i1 == placeholder[Int](70))) && (box31.R5[Coll[Byte]].get == coll15)) && (box31.R7[Coll[Coll[Byte]]].get == coll18)) && (coll34(placeholder[Int](71)) == l10)) && (coll34(placeholder[Int](72)) == l19)) && (coll34(placeholder[Int](73)) == l14)) && (coll34(placeholder[Int](74)) == l20 + l21)) && (coll34(placeholder[Int](75)) == placeholder[Long](76))) && (box31.R9[Coll[Coll[Byte]]].get == coll11))\n )} else { placeholder[Boolean](77) }\n )} else { placeholder[Boolean](78) }\n )} else { placeholder[Boolean](79) }) || if ((l2 >= l4) && (OUTPUTS.size > placeholder[Int](80))) {(\n val bool25 = coll9 != Coll[Byte]()\n val coll26 = INPUTS.filter({(box26: Box) =>\n val coll28 = blake2b256(box26.propositionBytes)\n ((coll28 == coll6) || (coll28 == placeholder[Coll[Byte]](81))) && (box26.R6[Coll[Byte]].get == coll7)\n })\n val l27 = coll26.fold(placeholder[Long](82), {(tuple27: (Long, Box)) => tuple27._1 + func13(tuple27._2) }) + func13(SELF) - l19\n val l28 = l27 * l20 / placeholder[Long](83) * coll18.size.toLong\n val l29 = l27 * placeholder[Long](84) / placeholder[Long](85)\n val bool30 = if (l29 > placeholder[Long](86)) {\n OUTPUTS.filter({(box30: Box) => box30.propositionBytes == coll23 }).fold(\n placeholder[Long](87), {(tuple30: (Long, Box)) => tuple30._1 + func13(tuple30._2) }\n ) - INPUTS.filter({(box30: Box) => box30.propositionBytes == coll23 }).fold(\n placeholder[Long](88), {(tuple30: (Long, Box)) => tuple30._1 + func13(tuple30._2) }\n ) >= l29\n } else { placeholder[Boolean](89) }\n val bool31 = if (l28 > placeholder[Long](90)) {(\n val coll31 = OUTPUTS.filter({(box31: Box) => box31.propositionBytes == placeholder[Coll[Byte]](91) })\n if (coll31.size == placeholder[Int](92)) {(\n val box32 = coll31(placeholder[Int](93))\n ((func13(box32) >= l28) && (box32.R4[Coll[Coll[Byte]]].get == coll18)) && (box32.R5[Coll[Byte]].get == coll12)\n )} else { placeholder[Boolean](94) }\n )} else { placeholder[Boolean](95) }\n val prop32 = if (coll22.slice(placeholder[Int](96), placeholder[Int](97)) == coll24) {\n proveDlog(decodePoint(coll22.slice(placeholder[Int](98), coll22.size)))\n } else { sigmaProp(INPUTS.exists({(box32: Box) => box32.propositionBytes == coll22 })) }\n val coll33 = INPUTS.filter({(box33: Box) => (blake2b256(box33.propositionBytes) == coll6) && (box33.R5[Coll[Byte]].get == coll9) })\n val prop34 = if (bool25) { if (l2 >= l4 + placeholder[Long](99)) { prop32 } else { if (coll33.size > placeholder[Int](100)) {(\n val coll34 = coll33(placeholder[Int](101)).R4[Coll[Byte]].get\n if (coll34.slice(placeholder[Int](102), placeholder[Int](103)) == coll24) { proveDlog(decodePoint(coll34.slice(placeholder[Int](104), coll34.size))) } else { sigmaProp(INPUTS.exists({(box35: Box) => box35.propositionBytes == coll34 })) }\n )} else { sigmaProp(placeholder[Boolean](105)) } } } else { prop32 }\n if (bool25) {(\n val coll35 = coll26.filter({(box35: Box) => box35.R5[Coll[Byte]].get == coll9 })\n if (coll35.size == placeholder[Int](106)) {(\n val box36 = coll35(placeholder[Int](107))\n if (((func17(box36)._2 && (func13(box36) >= l14)) && (box36.creationInfo._1.toLong < l10)) && (\n box36.R9[Coll[Long]].get.size.toLong <= placeholder[Long](108)\n )) {(\n val coll37 = box36.R4[Coll[Byte]].get\n val l38 = l27 * l21 / placeholder[Long](109)\n val l39 = l27 - l38 - l28 - l29\n val bool40 = l39 < l14\n prop34 && sigmaProp(\n (\n (\n (\n (\n OUTPUTS.filter({(box41: Box) => box41.propositionBytes == coll37 }).fold(\n placeholder[Long](110), {(tuple41: (Long, Box)) => tuple41._1 + func13(tuple41._2) }\n ) - INPUTS.filter({(box41: Box) => box41.propositionBytes == coll37 }).fold(\n placeholder[Long](111), {(tuple41: (Long, Box)) => tuple41._1 + func13(tuple41._2) }\n ) >= if (bool40) { l27 } else { l39 }\n ) && OUTPUTS.exists(\n {(box41: Box) =>\n ((box41.propositionBytes == coll37) && (box41.tokens.size > placeholder[Int](112))) && (box41.tokens(placeholder[Int](113))._1 == coll7)\n }\n )\n ) && (\n OUTPUTS.filter({(box41: Box) => box41.propositionBytes == coll22 }).fold(\n placeholder[Long](114), {(tuple41: (Long, Box)) => tuple41._1 + func13(tuple41._2) }\n ) - INPUTS.filter({(box41: Box) => box41.propositionBytes == coll22 }).fold(\n placeholder[Long](115), {(tuple41: (Long, Box)) => tuple41._1 + func13(tuple41._2) }\n ) >= l19 + if (bool40) { placeholder[Long](116) } else { l38 }\n )\n ) && if (if (bool40) { placeholder[Long](117) } else { l29 } == placeholder[Long](118)) { placeholder[Boolean](119) } else { bool30 }\n ) && if (if (bool40) { placeholder[Long](120) } else { l28 } == placeholder[Long](121)) { placeholder[Boolean](122) } else { bool31 }\n )\n )} else { sigmaProp(placeholder[Boolean](123)) }\n )} else { sigmaProp(placeholder[Boolean](124)) }\n )} else {\n prop34 && sigmaProp(\n (\n (\n (\n OUTPUTS.filter({(box35: Box) => box35.propositionBytes == coll22 }).fold(\n placeholder[Long](125), {(tuple35: (Long, Box)) => tuple35._1 + func13(tuple35._2) }\n ) - INPUTS.filter({(box35: Box) => box35.propositionBytes == coll22 }).fold(\n placeholder[Long](126), {(tuple35: (Long, Box)) => tuple35._1 + func13(tuple35._2) }\n ) >= l27 + l19 - l29 - l28\n ) && OUTPUTS.exists(\n {(box35: Box) =>\n ((box35.propositionBytes == coll22) && (box35.tokens.size > placeholder[Int](127))) && (box35.tokens(placeholder[Int](128))._1 == coll7)\n }\n )\n ) && bool30\n ) && bool31\n )\n }\n )} else { sigmaProp(placeholder[Boolean](129)) }\n}",
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{
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"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
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"R8": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1695256,500,100,50000,200000,1695400]"
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"R7": {
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{
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"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
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"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
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}