Transaction
ID: aefb279245...25cb
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001460872 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000743488 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.29985988 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Address:
Settlement height:
Value:
0.00232596 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.29963828 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 99,703
Total coins transferred: 0.30306424 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000219 ERG
Raw Transaction Data
{
"id": "aefb279245c2fbfbde4ac1dd2798ba84a8d167a94fffb545d8cbb249358525cb",
"blockId": "cfc36116b29502a0ddee9c1980f798a0776f6c43634bd2bf8731c772af14bd20",
"inclusionHeight": 1671165,
"timestamp": 1764957587701,
"index": 2,
"globalIndex": 9916924,
"numConfirmations": 99703,
"inputs": [
{
"boxId": "89279023f8dae2fef55753728686e6e466a6c6a9a03b1d2a14b0822591358a29",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7d613c5566cced84406867926994f186e6d8ed539f75a8c8f6a8ba71eae18a4c",
"outputTransactionId": "45381337af2f8e5873c617efb5a69a09b6b96474e504d258afd52b99107bd964",
"outputIndex": 0,
"outputGlobalIndex": 52053691,
"outputCreatedAt": 1671154,
"outputSettledAt": 1671155,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-52,-89,34,-48,61,-26,-108,-78,-120,-32,-87,-14,-48,97,-114,36,68,6,-7,2,-3,26,-19,-86,-77,62,-82,-83,83,53,113,16)\n2: 0\n3: 2\n4: 1\n5: 0\n6: 1\n7: 0\n8: 1\n9: 0\n10: true\n11: Coll(-116,44,4,10,-127,-73,13,-5,2,-104,-84,5,67,23,-101,-53,13,-60,17,126,6,-118,85,-15,-88,-123,-120,-123,-74,-84,-22,-30)\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: 30\n34: 0\n35: 0\n36: 1\n37: 3\n38: 1\n39: false\n40: false\n41: false\n42: 2\n43: 0\n44: 5\n45: 1000000\n46: 1000000\n47: Coll(-30,2,-17,8,63,13,87,-9,42,-104,-14,113,37,38,-126,-84,-91,-88,-102,-22,-96,-30,104,41,-102,-96,-20,-23,1,9,-127,-63)\n48: 1\n49: 2\n50: 30\n51: 1\n52: 1000000\n53: 1000000\n54: false\n55: 0\n56: 0\n57: 0\n58: 1000000\n59: 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 = Coll[Byte]()\n val coll8 = SELF.tokens(placeholder[Int](2))._1\n val tuple9 = SELF.R5[(Coll[Byte], Long)].get\n val coll10 = tuple9._1\n val l11 = coll3(placeholder[Int](3))\n val coll12 = SELF.R9[Coll[Coll[Byte]]].get\n val coll13 = coll12(placeholder[Int](4))\n val bool14 = coll13 == coll7\n val func15 = {(box15: Box) =>\n if (bool14) { box15.value } else {\n box15.tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll13 }).fold(\n placeholder[Long](5), {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 + tuple17._2._2 }\n )\n }\n }\n val l16 = coll3(placeholder[Int](6))\n val coll17 = SELF.R7[Coll[Coll[Byte]]].get\n val l18 = tuple9._2\n sigmaProp((i1 == placeholder[Int](7)) && ((if (l2 >= l4) {(\n val coll19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == coll5 })\n if (coll19.size == placeholder[Int](8)) {(\n val box20 = coll19(placeholder[Int](9))\n val tuple21 = box20.R6[(Coll[Byte], Coll[Byte])].get\n val coll22 = tuple21._1\n val coll23 = tuple21._2\n if (((blake2b256(coll22) == coll6) && (blake2b256(box20.propositionBytes) == coll5)) && if (coll23 == coll7) { placeholder[Boolean](10) } else {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](11)) && (box24.R6[Coll[Byte]].get == coll8)) && (box24.R5[Coll[Byte]].get == coll23) })\n if (coll24.size == placeholder[Int](12)) {(\n val box25 = coll24(placeholder[Int](13))\n val coll26 = box25.R9[Coll[Long]].get\n ((coll26.fold(placeholder[Boolean](14), {(tuple27: (Boolean, Long)) =>\n val bool29 = tuple27._1\n if (bool29) { bool29 } else { if (blake2b256(box25.R7[Coll[Byte]].get.append(coll10).append(longToByteArray(tuple27._2)).append(box25.R8[Coll[Byte]].get).append(box25.R4[Coll[Byte]].get).append(coll22)) == box25.R5[Coll[Byte]].get) { placeholder[Boolean](15) } else { bool29 } }\n }) && if (bool14) { box25.value >= l11 } else { box25.tokens.exists({(tuple27: (Coll[Byte], Long)) => (tuple27._1 == coll13) && (tuple27._2 >= l11) }) }) && (box25.creationInfo._1.toLong < l4)) && (coll26.size.toLong <= placeholder[Long](16))\n )} else { placeholder[Boolean](17) }\n )}) {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((((((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](18)) && (box24.tokens.size > placeholder[Int](19))) && (box24.R4[Coll[Byte]].get == placeholder[Coll[Byte]](20))) && (box24.R5[Coll[Byte]].get == coll8)) && box24.R6[Boolean].get) && box24.R8[Boolean].get) && coll17.exists({(coll26: Coll[Byte]) => coll26 == box24.tokens(placeholder[Int](21))._1 }) })\n val coll25 = coll24.map({(box25: Box) => box25.tokens(placeholder[Int](22))._1 })\n ((((((((((((((func15(box20) >= l16) && (box20.tokens.filter({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll8 }).size == placeholder[Int](23))) && (box20.R4[Int].get == placeholder[Int](24))) && (box20.R5[Coll[Byte]].get == coll10)) && (box20.R7[Coll[Coll[Byte]]].get == coll17)) && (box20.R8[Coll[Long]].get(placeholder[Int](25)) == l4)) && (box20.R8[Coll[Long]].get(placeholder[Int](26)) == l16)) && (box20.R8[Coll[Long]].get(placeholder[Int](27)) == l11)) && (box20.R8[Coll[Long]].get(placeholder[Int](28)) == coll3(placeholder[Int](29)))) && (box20.R8[Coll[Long]].get(placeholder[Int](30)) >= coll3(placeholder[Int](31)))) && (box20.R8[Coll[Long]].get(placeholder[Int](32)) >= l2 + placeholder[Long](33))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == coll12(placeholder[Int](35)))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](36)) == coll13)) && (box20.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](37))) && coll25.indices.forall({(i26: Int) => !coll25.slice(i26 + placeholder[Int](38), coll24.size).exists({(coll28: Coll[Byte]) => coll28 == coll25(i26) }) })\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 box19 = OUTPUTS(placeholder[Int](43))\n val l20 = l16 / placeholder[Long](44)\n val l21 = l16 - l20\n val l22 = if (bool14) { if (l21 < placeholder[Long](45)) { placeholder[Long](46) } else { l21 } } else { l21 }\n (((((((((blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](47)) && (func15(box19) >= l22)) && (box19.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll8 }).size == placeholder[Int](48))) && (box19.R4[Int].get == placeholder[Int](49))) && (box19.R5[Long].get >= l2 + placeholder[Long](50))) && (blake2b256(box19.R6[Coll[Byte]].get) == coll6)) && (box19.R7[Long].get == l22)) && (box19.R8[Long].get == l4)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)) && (func15(OUTPUTS(placeholder[Int](51))) >= if (bool14) { if (l20 < placeholder[Long](52)) { placeholder[Long](53) } else { l20 } } else { l20 })\n )} else { placeholder[Boolean](54) }) || if ((l2 < l18) && (OUTPUTS.size > placeholder[Int](55))) {(\n val box19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](56))\n val l20 = box19.value\n val tuple21 = box19.R5[(Coll[Byte], Long)].get\n ((((((((box19.tokens(placeholder[Int](57))._1 == coll8) && ((l20 >= placeholder[Long](58)) && (l20 == SELF.value))) && (tuple21._1 == blake2b256(coll10.append(SELF.id)))) && (tuple21._2 == l18)) && (box19.R4[Int].get == i1)) && (box19.R6[Coll[Byte]].get == coll6)) && (box19.R7[Coll[Coll[Byte]]].get == coll17)) && (box19.R8[Coll[Long]].get == coll3)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n )} else { placeholder[Boolean](59) }))\n}",
"address": "zaZD7k8QNpVxFApzGFmGFpyqCRFPTe4niFJkNkGRCnLs8bjBhp8LKKCqHpgHQBNfQtUWordhm2YHqai9q3TBBeXmTuAjsG2TYD48qbNjJnw6rneroeRTmGF6FPRcLVhG2CF2kZiwFhZeLjQzak8GhKCadfAzLFhumsZSCLnAyQV9B44C69B6JbgWxc7V8uWwAnGR4DCrHiDxH5eMapLDoA8wUs2McrDpqVAkCzrnhe8EexfbTAi4S8P4c63ZFCPeh6oxrhnGf8GUfPgiVetQ6QeoxkKsVnGKFEuSYWAugtbpRHr66qVVHYotpkHXg3RZ9yVVYsxgbR5sXxRiphcAmHdcu3A9WoSCmjHN2ppfuQxBNWNFDJ1PCdbFFgENBkHZaXe5WJXW3CrbxzZBby7RozubbERy9m5dZtKT43TbmuTecTAdMfbrrtEj7yUGEiiRpiqT6gKhRXZbWtV2FrTR2QondtW9pvLnhRngQyNgkqtki8kXcTrDtkDaLnt6A1r89PqriavDPNWa5TdM3cwNb5CmLuDHPRShZ1hdAotJ72WbgYwqJSa5AyU3DWNQUGsEg2DfN57J1FKbDE5APuY5qAtnVHdHnkkRPZ45D8FSqszUu4x6rbmpm7jWBqwaq5wJBETYHGvUifDGaMAbnkJtgHgWZsEsDvSe3ngVnSuovJWcdTtBckeaxbGVgQ4ioVStfceXwvfyeuh41C79qqtFJEzhuQVKj11Z9HWo9mHUCaubJWGFoxWDfAVdsy8Cs21PNF7itYdGP8NgNNtes9P5Cjziej6Lvk6GU93FjCboTpKSXj3K66EnFUUKWq2jNkyRRA3hsGB3pg8Ghon2Ag8fgEzpwCbdT7WYWfSJ8G6XLLb98Fif5EFE2tnXK1fUuNJEjT3UKAVxjkWMLeWWy9bCjnVTiMmai8nf9EaG7w3ZMx7vg2BV2cxNuGbcdktQVEJFXotsEYQUNcyQBSQ21jDoVmcKvqgUgTntwZ81AHkmXbptSyn3BB2b6cYgUk3FENo7YAGP8PeYSFXtTxyCkLKso3nDJYcKRYXRrYxgkbSALQr83qQMkum2TbcsqrX9uJx9J83j3eE4DD4hAGyUNV9rnWB6rbexwT9tvg6oAYUh7pJYKkyitJpe47nXg7SczU66h89xZCapxaw4it6boEzUGDEoJs1beUxCZ85DeJ5pVhGyA6oMGZK26KW3feG9xSLaXQ7Qi8RgQD516aCUAJnMG1fj1mifLuYqKEWuZznvfckrxNLH9sMpt8TxRUFsSGh67FtjD2aZthJwZ9JP3b2Y2wZGHDXe9Nu5YF6pGgwrnrLEmGnVHQwXiSuT9vsdPLh2XiKuYENoMicY8gz8XcyzahPMAJxuoCt4FTzYL2T1dez3wEW6orw2PZJRKt5bqG2hjuToK6buMTpzBxqyUVHArcHeJo436sZ9EjV2AD57Vgd3xZLSTCjfxqncaxVwxMZgJDY2uobcxWkxgKrpFgfZBwLZ4ucvuKxguADvhPGMeTXiTR3r8rr5KDT55QvFanYi3ujnXMKZJLdqYFw7uRiNokAUzgRKa1B5MvEYUmGSt9wtZDYr9bNpiMDAWzDRoR7JMqsUkKTDVYgx5tNuBB8zV1Hgd6KTp3PjS5iDJqfcm7coR5NGnKksvy3WZgPeL3Bq4LJPsGJAFqXskDFZQbengHVroymL9NwYCw5ASpQbjMdBkMMD4m1Yc8jj5CBhRkgE5GvmENUfxe5f2CcKKaDT6o7FbPqBUUxDkzMqKc32YPU79vb7hKhr6MhLRRzEDvyYFzbJXQX713U37r1Y3XUe3kZu1wMr7QqAws3YsVgSLfZfDnbevMsydbVdPXyS8CouJ8BCfRJNWj84oDp1s2ZL5PhaiDjuJ4B15Ei4kVFu3YNNhBmsXB6dfcvYm4ADpD5kn2JuSLs75VYoXMyzTQ9gHKhMLUe6D8Y1HqP8S4wM",
"assets": [
{
"tokenId": "d8ddddf4c900ad94eee84cc3818dcb9e53e0739ef060b61a9f1183d1d9cf432e",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 200,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e207b6ea87b869fedb2c774b458088b883bd199d1f3275e2d382ea93e09d97fb62d8680cc01",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[7b6ea87b869fedb2c774b458088b883bd199d1f3275e2d382ea93e09d97fb62d,1671171]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1105f0ffcb019003c8010a14",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1671160,200,100,5,10]"
},
"R7": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "1a02d3017b227469746c65223a2254657374205631222c226465736372697074696f6e223a22436f6e74656e742061626f7574207468697320746573742070726f6a6563742e222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d20aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7b227469746c65223a2254657374205631222c226465736372697074696f6e223a22436f6e74656e742061626f7574207468697320746573742070726f6a6563742e222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "fe99697af0573d68f028ba73d9ffd0f5e27ab7f0ff9fdc116b96dd856f93b151",
"value": 1460872,
"index": 1,
"spendingProof": "87bd6763d1b9e53ad9ea97af69c83a1d51cb63328c0ccf0adb437fd1c7c515ddfdd2e825e88796b56693d8f58675201b5fa09f8ba5633e35",
"outputBlockId": "8793c70c19aca8e348698df1cfa38b52db2acf97ec1190da0c6db00cf28559c5",
"outputTransactionId": "449e4a2ca910b1a44ec7a8896e8a98c34c7150203cca87f501c52b90a147bded",
"outputIndex": 1,
"outputGlobalIndex": 51991571,
"outputCreatedAt": 1669111,
"outputSettledAt": 1669112,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "e5df66d276f53e7138c02da0c55574543a2f8a9e783ea051e4be18eb27e44059",
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",
"ergoTreeConstants": "0: 5\n1: Coll(-116,44,4,10,-127,-73,13,-5,2,-104,-84,5,67,23,-101,-53,13,-60,17,126,6,-118,85,-15,-88,-123,-120,-123,-74,-84,-22,-30)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 2\n7: 1\n8: 3\n9: 4\n10: 2\n11: 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)\n12: 1000000\n13: 0\n14: Coll(0,8,-51)\n15: 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)\n16: 1\n17: 1\n18: 1\n19: 1\n20: 0\n21: 0\n22: 10\n23: -1\n24: false\n25: true\n26: -1\n27: 1\n28: 0\n29: true\n30: -1\n31: 0\n32: 1\n33: 0\n34: 1\n35: 2\n36: 3\n37: 4\n38: 5\n39: 0\n40: 0\n41: 1\n42: 2\n43: 30\n44: 5\n45: 3\n46: false\n47: false\n48: false\n49: false\n50: false\n51: 0\n52: 0\n53: 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)\n54: 0\n55: 0\n56: 1\n57: 0\n58: 0\n59: 2\n60: 1\n61: 1\n62: 0\n63: true\n64: 1\n65: 0\n66: false\n67: true\n68: 10\n69: false\n70: 1\n71: 0\n72: 5\n73: 30\n74: 0\n75: 1\n76: 0\n77: 1\n78: 2\n79: 3\n80: 4\n81: false\n82: false\n83: false\n84: 0\n85: 0\n86: 100\n87: 0\n88: 0\n89: 5\n90: 100\n91: 0\n92: 0\n93: 0\n94: 0\n95: 0\n96: 3\n97: 3\n98: false\n99: 0\n100: 3\n101: 3\n102: 1\n103: 0\n104: false\n105: true\n106: 10\n107: 100\n108: 0\n109: 0\n110: 0\n111: 0\n112: 0\n113: true\n114: 0\n115: 0\n116: 0\n117: 0\n118: 0\n119: true\n120: false\n121: false\n122: 1\n123: 0\n124: 0\n125: true\n126: 0\n127: 0\n128: 0\n129: true\n130: 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 coll13 = Coll[Byte]()\n val bool14 = coll12 == coll13\n val func15 = {(box15: Box) =>\n if (bool14) { box15.value } else {\n box15.tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll12 }).fold(\n placeholder[Long](5), {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 + tuple17._2._2 }\n )\n }\n }\n val l16 = coll3(placeholder[Int](6))\n val coll17 = SELF.R5[Coll[Byte]].get\n val coll18 = tuple8._1\n val coll19 = SELF.R7[Coll[Coll[Byte]]].get\n val l20 = coll3(placeholder[Int](7))\n val l21 = coll3(placeholder[Int](8))\n val l22 = coll3(placeholder[Int](9))\n val coll23 = coll11(placeholder[Int](10))\n val coll24 = placeholder[Coll[Byte]](11)\n val l25 = if (bool14) { placeholder[Long](12) } else { placeholder[Long](13) }\n val coll26 = placeholder[Coll[Byte]](14)\n val coll27 = 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 coll28 = CONTEXT.dataInputs\n val coll29 = coll28.filter({(box29: Box) => ((blake2b256(box29.propositionBytes) == coll6) && (box29.R6[Coll[Byte]].get == coll7)) && (box29.R5[Coll[Byte]].get != coll9) })\n if (coll29.size == placeholder[Int](19)) {(\n val box30 = coll29(placeholder[Int](20))\n val box31 = OUTPUTS(placeholder[Int](21))\n if (((((blake2b256(box30.propositionBytes) == coll6) && (box30.R6[Coll[Byte]].get == coll7)) && (box30.creationInfo._1.toLong < l10)) && (func15(box30) >= l16)) && (box30.R9[Coll[Long]].get.size.toLong <= placeholder[Long](22))) {(\n val tuple32 = (placeholder[Long](23), placeholder[Boolean](24))\n val l33 = box30.R9[Coll[Long]].get.fold(tuple32, {(tuple33: ((Long, Boolean), Long)) =>\n val tuple35 = tuple33._1\n val l36 = tuple33._2\n if (tuple35._2) { tuple35 } else { if (blake2b256(box30.R7[Coll[Byte]].get.append(coll17).append(longToByteArray(l36)).append(box30.R8[Coll[Byte]].get).append(box30.R4[Coll[Byte]].get).append(coll18)) == box30.R5[Coll[Byte]].get) { (l36, placeholder[Boolean](25)) } else { tuple35 } }\n })._1\n val bool34 = l33 != placeholder[Long](26)\n if (bool34) {(\n val coll35 = if (coll9 == coll13) { box30.R5[Coll[Byte]].get } else {(\n val coll35 = coll28.filter({(box35: Box) => ((blake2b256(box35.propositionBytes) == coll6) && (box35.R5[Coll[Byte]].get == coll9)) && (box35.R6[Coll[Byte]].get == coll7) })\n if (coll35.size == placeholder[Int](27)) {(\n val box36 = coll35(placeholder[Int](28))\n val tuple37 = box36.R9[Coll[Long]].get.fold(tuple32, {(tuple37: ((Long, Boolean), Long)) =>\n val tuple39 = tuple37._1\n val l40 = tuple37._2\n if (tuple39._2) { tuple39 } else { if (blake2b256(box36.R7[Coll[Byte]].get.append(coll17).append(longToByteArray(l40)).append(box36.R8[Coll[Byte]].get).append(box36.R4[Coll[Byte]].get).append(coll18)) == box36.R5[Coll[Byte]].get) { (l40, placeholder[Boolean](29)) } else { tuple39 } }\n })\n val l38 = tuple37._1\n if (tuple37._2 && (l38 != placeholder[Long](30))) { if ((l33 > l38) || ((l33 == l38) && (box30.creationInfo._1 < box36.creationInfo._1))) { box30.R5[Coll[Byte]].get } else { coll13 } } else { coll13 }\n )} else { coll13 }\n )}\n if ((coll35 != coll13) && (coll35 != coll9)) { ((((((((((((((((((func15(box31) >= func15(SELF)) && (box31.tokens(placeholder[Int](31))._1 == coll7)) && (box31.R4[Int].get == i1)) && (i1 == placeholder[Int](32))) && (box31.R5[Coll[Byte]].get == coll17)) && (box31.R6[(Coll[Byte], Coll[Byte])].get._1 == coll18)) && (box31.R6[(Coll[Byte], Coll[Byte])].get._2 == coll35)) && (box31.R7[Coll[Coll[Byte]]].get == coll19)) && (box31.R8[Coll[Long]].get(placeholder[Int](33)) == l10)) && (box31.R8[Coll[Long]].get(placeholder[Int](34)) == l20)) && (box31.R8[Coll[Long]].get(placeholder[Int](35)) == l16)) && (box31.R8[Coll[Long]].get(placeholder[Int](36)) == l21)) && (box31.R8[Coll[Long]].get(placeholder[Int](37)) == l22)) && (box31.R8[Coll[Long]].get(placeholder[Int](38)) == l4)) && (box31.R9[Coll[Coll[Byte]]].get(placeholder[Int](39)) == coll11(placeholder[Int](40)))) && (box31.R9[Coll[Coll[Byte]]].get(placeholder[Int](41)) == coll12)) && ((box31.R9[Coll[Coll[Byte]]].get(placeholder[Int](42)) == coll23) || (l4 - placeholder[Long](43) + placeholder[Long](44) < l2))) && (box31.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](45))) && bool34 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n )} else { placeholder[Boolean](48) }\n )} else { placeholder[Boolean](49) }\n )} else { placeholder[Boolean](50) }) || sigmaProp(if (bool5 && (CONTEXT.dataInputs.size > placeholder[Int](51))) {(\n val coll28 = CONTEXT.dataInputs\n val coll29 = coll28.filter({(box29: Box) => ((((((blake2b256(box29.propositionBytes) == coll24) && (box29.tokens.size > placeholder[Int](52))) && (box29.R4[Coll[Byte]].get == placeholder[Coll[Byte]](53))) && (box29.R5[Coll[Byte]].get == coll9)) && box29.R6[Boolean].get) && (!box29.R8[Boolean].get)) && coll19.exists({(coll31: Coll[Byte]) => coll31 == box29.tokens(placeholder[Int](54))._1 }) })\n val coll30 = coll29.map({(box30: Box) => box30.tokens(placeholder[Int](55))._1 })\n val i31 = coll29.size\n val i32 = coll19.size\n val coll33 = OUTPUTS.filter({(box33: Box) => box33.propositionBytes == SELF.propositionBytes })\n if ((coll30.indices.forall({(i34: Int) => !coll30.slice(i34 + placeholder[Int](56), i31).exists({(coll36: Coll[Byte]) => coll36 == coll30(i34) }) }) && (i31 >= if (i32 == placeholder[Int](57)) { placeholder[Int](58) } else { i32 / placeholder[Int](59) + placeholder[Int](60) })) && (coll33.size == placeholder[Int](61))) {(\n val box34 = coll33(placeholder[Int](62))\n val coll35 = box34.R6[(Coll[Byte], Coll[Byte])].get._2\n val coll36 = INPUTS.filter({(box36: Box) => (blake2b256(box36.propositionBytes) == coll6) && (box36.R5[Coll[Byte]].get == coll9) })\n if (if (coll35 == coll13) { placeholder[Boolean](63) } else {(\n val coll37 = coll28.filter({(box37: Box) => ((blake2b256(box37.propositionBytes) == coll6) && (box37.R6[Coll[Byte]].get == coll7)) && (box37.R5[Coll[Byte]].get == coll35) })\n if (coll37.size == placeholder[Int](64)) {(\n val box38 = coll37(placeholder[Int](65))\n val coll39 = box38.R9[Coll[Long]].get\n ((coll39.fold(placeholder[Boolean](66), {(tuple40: (Boolean, Long)) =>\n val bool42 = tuple40._1\n if (bool42) { bool42 } else { if (blake2b256(box38.R7[Coll[Byte]].get.append(coll17).append(longToByteArray(tuple40._2)).append(box38.R8[Coll[Byte]].get).append(box38.R4[Coll[Byte]].get).append(coll18)) == box38.R5[Coll[Byte]].get) { placeholder[Boolean](67) } else { bool42 } }\n }) && (func15(box38) >= l16)) && (box38.creationInfo._1.toLong < l10)) && (coll39.size.toLong <= placeholder[Long](68))\n )} else { placeholder[Boolean](69) }\n )} && (coll36.size == placeholder[Int](70))) {(\n val coll37 = box34.R8[Coll[Long]].get\n ((func15(box34) >= func15(SELF) + func15(coll36(placeholder[Int](71)))) && (coll37(placeholder[Int](72)) >= l2 + placeholder[Long](73))) && (((((((((((box34.tokens(placeholder[Int](74))._1 == coll7) && (box34.R4[Int].get == i1)) && (i1 == placeholder[Int](75))) && (box34.R5[Coll[Byte]].get == coll17)) && (box34.R7[Coll[Coll[Byte]]].get == coll19)) && (coll37(placeholder[Int](76)) == l10)) && (coll37(placeholder[Int](77)) == l20)) && (coll37(placeholder[Int](78)) == l16)) && (coll37(placeholder[Int](79)) == l21)) && (coll37(placeholder[Int](80)) == l22)) && (box34.R9[Coll[Coll[Byte]]].get == coll11))\n )} else { placeholder[Boolean](81) }\n )} else { placeholder[Boolean](82) }\n )} else { placeholder[Boolean](83) }) || if ((l2 >= l4) && (OUTPUTS.size > placeholder[Int](84))) {(\n val bool28 = coll9 != coll13\n val coll29 = INPUTS.filter({(box29: Box) => (blake2b256(box29.propositionBytes) == coll6) && (box29.R6[Coll[Byte]].get == coll7) })\n val l30 = coll29.fold(placeholder[Long](85), {(tuple30: (Long, Box)) => tuple30._1 + func15(tuple30._2) }) + func15(SELF) - l20\n val l31 = l30 * l21 / placeholder[Long](86)\n val l32 = l31 * coll19.size.toLong\n val l33 = l32 - if ((l31 < l25) && (l31 > placeholder[Long](87))) { l32 } else { placeholder[Long](88) }\n val l34 = l30 * placeholder[Long](89) / placeholder[Long](90)\n val l35 = l34 - if ((l34 < l25) && (l34 > placeholder[Long](91))) { l34 } else { placeholder[Long](92) }\n val prop36 = if (bool28) {(\n val coll36 = INPUTS.filter({(box36: Box) => (blake2b256(box36.propositionBytes) == coll6) && (box36.R5[Coll[Byte]].get == coll9) })\n if (coll36.size > placeholder[Int](93)) {(\n val coll37 = coll36(placeholder[Int](94)).R4[Coll[Byte]].get\n if (coll37.slice(placeholder[Int](95), placeholder[Int](96)) == coll26) {\n proveDlog(decodePoint(coll37.slice(placeholder[Int](97), coll37.size)))\n } else { sigmaProp(INPUTS.exists({(box38: Box) => box38.propositionBytes == coll37 })) }\n )} else { sigmaProp(placeholder[Boolean](98)) }\n )} else {\n if (coll23.slice(placeholder[Int](99), placeholder[Int](100)) == coll26) {\n proveDlog(decodePoint(coll23.slice(placeholder[Int](101), coll23.size)))\n } else { sigmaProp(INPUTS.exists({(box36: Box) => box36.propositionBytes == coll23 })) }\n }\n if (bool28) {(\n val coll37 = coll29.filter({(box37: Box) => box37.R5[Coll[Byte]].get == coll9 })\n if (coll37.size == placeholder[Int](102)) {(\n val box38 = coll37(placeholder[Int](103))\n val coll39 = box38.R9[Coll[Long]].get\n val coll40 = box38.R4[Coll[Byte]].get\n if (((coll39.fold(placeholder[Boolean](104), {(tuple41: (Boolean, Long)) =>\n val bool43 = tuple41._1\n if (bool43) { bool43 } else { if (blake2b256(box38.R7[Coll[Byte]].get.append(coll17).append(longToByteArray(tuple41._2)).append(box38.R8[Coll[Byte]].get).append(coll40).append(coll18)) == box38.R5[Coll[Byte]].get) { placeholder[Boolean](105) } else { bool43 } }\n }) && if (bool14) { func15(box38) >= l16 } else { box38.tokens.exists({(tuple41: (Coll[Byte], Long)) => (tuple41._1 == coll12) && (tuple41._2 >= l16) }) }) && (box38.creationInfo._1.toLong < l10)) && (\n coll39.size.toLong <= placeholder[Long](106)\n )) {(\n val l41 = l30 * l22 / placeholder[Long](107)\n val l42 = l30 - l41 - l33 - l35\n val bool43 = l42 < l16\n val l44 = if (bool43) { placeholder[Long](108) } else { l35 }\n prop36 && sigmaProp(\n (\n (\n OUTPUTS.exists(\n {(box45: Box) =>\n (\n ((func15(box45) >= if (bool43) { l30 } else { l42 }) && (box45.propositionBytes == coll40)) && (box45.tokens.size > placeholder[Int](109))\n ) && (box45.tokens(placeholder[Int](110))._1 == coll7)\n }\n ) && OUTPUTS.exists(\n {(box45: Box) => (func15(box45) >= l20 + if (bool43) { placeholder[Long](111) } else { l41 }) && (box45.propositionBytes == coll23) }\n )\n ) && if (l44 > placeholder[Long](112)) { OUTPUTS.exists({(box45: Box) => (func15(box45) >= l44) && (box45.propositionBytes == coll27) }) } else {\n placeholder[Boolean](113)\n }\n ) && if (if (bool43) { placeholder[Long](114) } else { l33 } > placeholder[Long](115)) {\n CONTEXT.dataInputs.filter(\n {(box45: Box) =>\n ((blake2b256(box45.propositionBytes) == coll24) && (box45.tokens.size > placeholder[Int](116))) && coll19.exists(\n {(coll47: Coll[Byte]) => coll47 == box45.tokens(placeholder[Int](117))._1 }\n )\n }\n ).map({(box45: Box) => box45.R7[Coll[Byte]].get }).forall(\n {(coll45: Coll[Byte]) =>\n OUTPUTS.exists(\n {(box47: Box) => (box47.propositionBytes == coll45) && (func15(box47) >= if (bool43) { placeholder[Long](118) } else { l31 }) }\n )\n }\n )\n } else { placeholder[Boolean](119) }\n )\n )} else { sigmaProp(placeholder[Boolean](120)) }\n )} else { sigmaProp(placeholder[Boolean](121)) }\n )} else {\n prop36 && sigmaProp(\n (\n OUTPUTS.exists(\n {(box37: Box) =>\n (((func15(box37) >= l30 + l20 - l35 - l33) && (box37.propositionBytes == coll23)) && (box37.tokens.size == placeholder[Int](122))) && (\n box37.tokens(placeholder[Int](123))._1 == coll7\n )\n }\n ) && if (l35 > placeholder[Long](124)) { OUTPUTS.exists({(box37: Box) => (func15(box37) >= l35) && (box37.propositionBytes == coll27) }) } else {\n placeholder[Boolean](125)\n }\n ) && if (l33 > placeholder[Long](126)) {\n CONTEXT.dataInputs.filter(\n {(box37: Box) =>\n ((blake2b256(box37.propositionBytes) == coll24) && (box37.tokens.size > placeholder[Int](127))) && coll19.exists(\n {(coll39: Coll[Byte]) => coll39 == box37.tokens(placeholder[Int](128))._1 }\n )\n }\n ).map({(box37: Box) => box37.R7[Coll[Byte]].get }).forall(\n {(coll37: Coll[Byte]) => OUTPUTS.exists({(box39: Box) => (box39.propositionBytes == coll37) && (func15(box39) >= l31) }) }\n )\n } else { placeholder[Boolean](129) }\n )\n }\n )} else { sigmaProp(placeholder[Boolean](130)) }\n}",
"address": "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",
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"R8": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1671160,200,100,5,10,1671202]"
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"R7": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
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"R4": {
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"sigmaType": "SInt",
"renderedValue": "1"
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"mainChain": true
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{
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"transactionId": "aefb279245c2fbfbde4ac1dd2798ba84a8d167a94fffb545d8cbb249358525cb",
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"value": 1100000,
"index": 1,
"globalIndex": 52054039,
"creationHeight": 1671162,
"settlementHeight": 1671165,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
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"mainChain": true
},
{
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