Transaction
ID: a91d2d2eff...522a
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00196004 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00003996 ERG
Tokens:
0
Transaction Details
Confirmations: 380,654
Total coins transferred: 0.009 ERG
Fees: 0.00196004 ERG
Fees per byte: 0.000000221 ERG
Raw Transaction Data
{
"id": "a91d2d2effa3a94449dead7f129eee7738b6576e87e17001c44d5b2dac1b522a",
"blockId": "c6dd3bd67eded8381e09c51cbcf3a5dc3faf60f4b4991a0689208006bc2a6a31",
"inclusionHeight": 1378727,
"timestamp": 1729551098259,
"index": 2,
"globalIndex": 7937471,
"numConfirmations": 380654,
"inputs": [
{
"boxId": "82e630f1b9a5d0f2720f05feaf72694d98f1c700685b1f824ffaaeb29abc882b",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d1d44bd82ec203274a283cfb44eed93c757ea052aea763d6ad81086a1f2373b9",
"outputTransactionId": "2d171757a4f13b03baa5a94d12bb1ded074e8c4ad427a5e49d79a99110653034",
"outputIndex": 0,
"outputGlobalIndex": 43366704,
"outputCreatedAt": 1378719,
"outputSettledAt": 1378723,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n4: Coll(-120,48,97,44,82,53,95,111,40,13,18,-105,-15,-97,103,-80,120,-55,-38,-89,-41,-80,75,69,-100,-111,-52,100,73,87,-62,-128)\n5: Coll(-117,-57,-113,28,106,-82,-55,30,98,-114,21,-49,102,-116,22,-52,30,-101,-40,-28,-71,-73,-31,109,99,24,-75,-11,35,-91,-23,-67)\n6: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n7: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n8: Coll(58,17,-107,92,71,25,-27,-120,-68,-26,-89,97,29,39,-67,31,-33,-37,87,56,92,-82,-30,102,-40,4,12,-119,79,28,46,29)\n9: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n10: 0\n11: 0\n12: Coll(-88,-64,79,105,-47,-5,-5,-5,60,-96,6,47,109,-57,-16,-36,59,-11,-7,77,84,-31,-65,-12,110,-118,-16,-1,-34,60,-88,-2)\n13: 0\n14: 6\n15: 0\n16: 1\n17: 1\n18: 33\n19: 1\n20: 2\n21: 1\n22: 33\n23: 2\n24: 3\n25: 1\n26: 33\n27: 3\n28: 4\n29: 1\n30: 33\n31: 4\n32: 5\n33: 1\n34: 33\n35: 5\n36: 6\n37: 1\n38: 33\n39: 6\n40: 7\n41: 1\n42: 33\n43: 0\n44: 1\n45: 33\n46: 0\n47: 0\n48: 1\n49: 1",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val b2 = getVar[Byte](1.toByte).get\n val i3 = b2.toInt\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n Coll[Byte]\n ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box6 = OUTPUTS(placeholder[Int](10))\n val coll7 = box6.tokens\n val coll8 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), (i3 >= placeholder[Int](13)) && (i3 <= placeholder[Int](14)), anyOf(\n Coll[Boolean](\n (b2 == placeholder[Byte](15)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18))\n ), (b2 == placeholder[Byte](19)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](20)).get.slice(placeholder[Int](21), placeholder[Int](22))\n ), (b2 == placeholder[Byte](23)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](24)).get.slice(placeholder[Int](25), placeholder[Int](26))\n ), (b2 == placeholder[Byte](27)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))\n ), (b2 == placeholder[Byte](31)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](32)).get.slice(placeholder[Int](33), placeholder[Int](34))\n ), (b2 == placeholder[Byte](35)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))\n ), (b2 == placeholder[Byte](39)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))\n )\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box6.propositionBytes) == coll5(placeholder[Int](43)).get.slice(placeholder[Int](44), placeholder[Int](45)), coll7(\n placeholder[Int](46)\n ) == coll8(placeholder[Int](47)), coll7(placeholder[Int](48))._1 == coll8(placeholder[Int](49))._1\n )\n )\n )\n )\n )\n}",
"address": "MUeEFF9n6rMZGwhMHSCUToqgZV77SPd7enUFfdMSt9BwbM2eVwCQ44yZjJRqxpgU8bJijkTjNhB7AH2wUM9UkZjHnyPDKFRDMozra8a3ptKsKvQXN3wBzXAwBaTFpdS2WuYqQTP4VzokiUjFsoesobW74Nh51uAqDTXKK4SZ4QnphLpCAVPBu9rEca48RLrMViEzYQKchqzyX2oA7cSzY8do7poc4Y6jPiNYuRbLyjifcNBqBVjRruuZr9N2KzVJWC8eNphZVuYkBay9tHp6qC6BMyN5Pr1YGnWDNMX8ivyrogza6wiJga8rvBSN2brt6tU5pWHpkBRRZYySTP69G5utxvkLKuk26xvvMuXJbW5TuTttKEDCLewsejh5yyijfiEkqynUiJKnkKX4oNkkHhWmjWpL8u4zjVachSw8y6eZzUikHAhsjY2pDt1zXTd2Hvs97akKm9mDSJ95MvF9VpGQQS5Lz17AamUTE8RU51W9Dm9eUM6KjKtgAhamXeiKyEEBXfkTe6d8Zvuc5QN39K9kukiexniKP8ko4ocYCNgWW1XWLXnUsyVQ32tBs2HzbGL81VzRBY6cMgGS7ptS2YYW9ekanTDyzqPzyDzuuyXNMghnw1AGii3kKBxtCNxASQxtneivR7k6Rgy91aSz6GHEveVTyYn1fJNVKftJoupWGH69Jhn9rz3NiYgxivW61xA7aHFhPeJb4DgjF37MyQC6GcBN1mpyPuBHWZhVHTRJTvuarSLxeXWH5XL1f2t5ndLWKCnsojBeVM7PFrEUchegA2xeuWTYwVhiPpLRKyvQwr3HhCNXJRmro5omCxbQypCDNLfMPVkhM5XD72fypLZW7SQTQN8ChW7GoehZthnKpirVMEiPof1FLMAw37YuSdYhWaxu53NhCcVdG14pRpEC8Tfb9LNZzV2T7FCGvaKBm3Hig7T1BdXMKxUSYTHjU8aXvhYUjpPdVsFoYcq7h4qPo1F1s9MY",
"assets": [
{
"tokenId": "23233100be8a7b9243ff2a3780e5acf600f60aa15a803bcd91e97c8e493862dc",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "093036f093dd3e049179a9b25f7622ac21cf7c9d375af490eaaa433642fb69cd",
"index": 1,
"amount": 13,
"name": "Sigmanauts Mining DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107a8d9f9ee9b64181824240000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1721727137364,12,12,18,18,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402e0aa73fa9ffd8a22b9e13d1bf527d1dce382854d51c67fea2ce8911baa54cd1704072000fc6a929b9b9973a760e946e565340e0b337867783f6fc182b9861a1ceba0723104072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "da906104a6163ca6feeeddf716fef42d5309f86707e161a2adcdfda958ac97e3",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "5074d410adfade7668e1776fe3abf5917d52e52b10173739ae1508e1668c7cd8",
"outputTransactionId": "3e3fc7b7bb6fb7ec0f711a6b243e70c080d970622a91693f1eaf24d611cef072",
"outputIndex": 1,
"outputGlobalIndex": 43350583,
"outputCreatedAt": 1378068,
"outputSettledAt": 1378071,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 0\n2: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n3: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n4: Coll(61,-86,102,-128,-114,105,-62,90,-23,50,-35,102,97,28,95,11,60,-70,-54,-47,18,82,3,-24,125,-115,-60,-111,-122,28,113,-26)\n5: 1\n6: 3\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 8\n14: 8\n15: 1\n16: 0\n17: 8\n18: 0\n19: 1\n20: 8\n21: 16\n22: 0\n23: 0\n24: 8\n25: 8\n26: 1\n27: 8\n28: 0\n29: 0\n30: 8\n31: 8\n32: 1\n33: 8\n34: 0\n35: 0\n36: 2\n37: 6\n38: 38\n39: 0\n40: 1\n41: 33\n42: 3\n43: 0\n44: 0\n45: 1\n46: 0\n47: 0\n48: 1\n49: 1\n50: 2\n51: 2\n52: 3\n53: 3\n54: 4\n55: 4\n56: 5\n57: 5\n58: 0\n59: 1\n60: 6\n61: 38\n62: 0\n63: Coll(-88,-64,79,105,-47,-5,-5,-5,60,-96,6,47,109,-57,-16,-36,59,-11,-7,77,84,-31,-65,-12,110,-118,-16,-1,-34,60,-88,-2)",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val box4 = OUTPUTS(placeholder[Int](5))\n val box5 = INPUTS(placeholder[Int](6))\n val coll6 = box5.tokens(placeholder[Int](7))._1\n val box7 = OUTPUTS(placeholder[Int](8))\n val box8 = INPUTS(placeholder[Int](9))\n val coll9 = box8.tokens\n val coll10 = box7.R4[Coll[AvlTree]].get\n val coll11 = box8.R4[Coll[AvlTree]].get\n val avlTree12 = coll11(placeholder[Int](10))\n val coll13 = avlTree12.get(coll6, getVar[Coll[Byte]](2.toByte).get).get\n val coll14 = longToByteArray(\n max(box1.R5[Coll[Long]].get(placeholder[Int](11)), byteArrayToLong(coll13.slice(placeholder[Int](12), placeholder[Int](13))))\n ).append(coll13.slice(placeholder[Int](14), coll13.size))\n val avlTree15 = coll11(placeholder[Int](15))\n val opt16 = avlTree15.get(coll6, getVar[Coll[Byte]](4.toByte).get)\n val bool17 = opt16.isDefined\n val opt18 = box1.R6[AvlTree].get.get(coll6, getVar[Coll[Byte]](1.toByte).get)\n val bool19 = opt18.isDefined\n val l20 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](16), placeholder[Int](17))) } else { placeholder[Long](18) }\n val l21 = if (bool19) { l20 } else { l20 + placeholder[Long](19) }\n val l22 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](20), placeholder[Int](21))) } else { placeholder[Long](22) }\n val coll23 = box5.R5[Coll[Byte]].get\n val l24 = coll23.indices.slice(placeholder[Int](23), coll23.size / placeholder[Int](24)).map(\n {(i24: Int) => byteArrayToLong(coll23.slice(i24 * placeholder[Int](25), i24 + placeholder[Int](26) * placeholder[Int](27))) }\n ).fold(placeholder[Long](28), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 })\n val l25 = if (bool19) {(\n val coll25 = opt18.get\n l22 - coll25.indices.slice(placeholder[Int](29), coll25.size / placeholder[Int](30)).map(\n {(i26: Int) => byteArrayToLong(coll25.slice(i26 * placeholder[Int](31), i26 + placeholder[Int](32) * placeholder[Int](33))) }\n ).fold(placeholder[Long](34), {(tuple26: (Long, Long)) => tuple26._1 + tuple26._2 }) + l24\n )} else { l22 + l24 }\n val coll26 = longToByteArray(l21).append(longToByteArray(l25))\n val coll27 = getVar[Coll[Byte]](5.toByte).get\n val coll28 = box7.R5[Coll[Long]].get\n val coll29 = box8.R5[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](35))._1 == coll3(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38)), allOf(\n Coll[Boolean](\n blake2b256(box4.propositionBytes) == coll3(placeholder[Int](39)).get.slice(placeholder[Int](40), placeholder[Int](41)), box4.value >= SELF.value\n )\n ), OUTPUTS(placeholder[Int](42)).tokens(placeholder[Int](43))._1 == coll6, allOf(\n Coll[Boolean](\n box7.value == box8.value, box7.tokens == coll9, coll10(placeholder[Int](44)).digest == avlTree12.update(\n Coll[(Coll[Byte], Coll[Byte])]((coll6, coll14)), getVar[Coll[Byte]](3.toByte).get\n ).get.digest, coll10(placeholder[Int](45)).digest == if (bool17) {\n avlTree15.update(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get\n } else { avlTree15.insert(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get }.digest, coll28(placeholder[Int](46)) == coll29(\n placeholder[Int](47)\n ), coll28(placeholder[Int](48)) == coll29(placeholder[Int](49)), coll28(placeholder[Int](50)) == coll29(placeholder[Int](51)), coll28(\n placeholder[Int](52)\n ) == coll29(placeholder[Int](53)) + l21 - l20, coll28(placeholder[Int](54)) == coll29(placeholder[Int](55)) + l25 - l22, coll28.slice(\n placeholder[Int](56), coll28.size\n ) == coll29.slice(placeholder[Int](57), coll29.size), box7.R6[Coll[Coll[Long]]].get == box8.R6[Coll[Coll[Long]]].get, box7.R7[\n Coll[(AvlTree, AvlTree)]\n ].get == box8.R7[Coll[(AvlTree, AvlTree)]].get, box7.R8[Coll[Long]].get == box8.R8[Coll[Long]].get\n )\n ), coll9(placeholder[Int](58))._1 == coll3(placeholder[Int](59)).get.slice(placeholder[Int](60), placeholder[Int](61)), box2.tokens(\n placeholder[Int](62)\n )._1 == placeholder[Coll[Byte]](63), getVar[Coll[Byte]](6.toByte).get == coll14, getVar[Coll[Byte]](7.toByte).get == coll26\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "657cd9b924fc00a83d4aa55a3ffc44ff9f441814d6b543bcad324d0f3b9bb2d4",
"value": 4000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "5074d410adfade7668e1776fe3abf5917d52e52b10173739ae1508e1668c7cd8",
"outputTransactionId": "3e3fc7b7bb6fb7ec0f711a6b243e70c080d970622a91693f1eaf24d611cef072",
"outputIndex": 2,
"outputGlobalIndex": 43350584,
"outputCreatedAt": 1378068,
"outputSettledAt": 1378071,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n2: Coll(-81,120,91,10,-35,-128,92,92,49,-15,-52,58,62,-106,-56,-112,8,-3,113,39,50,1,7,-93,120,75,127,73,-23,86,72,66)\n3: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n4: 2\n5: 6\n6: 38\n7: 2\n8: 1\n9: 0\n10: 0\n11: Coll(-88,-64,79,105,-47,-5,-5,-5,60,-96,6,47,109,-57,-16,-36,59,-11,-7,77,84,-31,-65,-12,110,-118,-16,-1,-34,60,-88,-2)\n12: -1\n13: 0\n14: 1\n15: -1\n16: 1\n17: 2\n18: 0\n19: 1\n20: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n21: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n22: 0\n23: 0\n24: 0\n25: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n26: 0\n27: 3000000\n28: 0\n29: 0\n30: 0\n31: 0\n32: 1\n33: 1\n34: 0\n35: 1\n36: 9\n37: 1000\n38: 1\n39: 1\n40: 9\n41: 1000\n42: -2\n43: 1\n44: 1\n45: 33\n46: 1000000\n47: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n48: 1\n49: 0\n50: 1\n51: 9\n52: 0\n53: 3\n54: 0\n55: 0\n56: 8\n57: 8\n58: 1\n59: 8\n60: 0\n61: 2\n62: 1\n63: 2\n64: 0\n65: 8\n66: 16\n67: 0\n68: 0\n69: 8\n70: 8\n71: 1\n72: 8\n73: 0\n74: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = SELF.R4[Coll[Int]].get\n val coll4 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](1), placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3)), getVar[Coll[Byte]](0.toByte).get\n )\n val coll5 = coll4(placeholder[Int](4)).get.slice(placeholder[Int](5), placeholder[Int](6))\n val coll6 = SELF.R5[Coll[Long]].get\n val coll7 = coll6.slice(placeholder[Int](7), coll6.size)\n val opt8 = getVar[(Int, Long)](4.toByte)\n val tuple9 = opt8.get\n val i10 = tuple9._1\n val l11 = tuple9._2\n val avlTree12 = SELF.R6[AvlTree].get\n val l13 = coll6(placeholder[Int](8))\n val l14 = coll6(placeholder[Int](9))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](10))._1 == placeholder[Coll[Byte]](11), if ((INPUTS.indexOf(SELF, placeholder[Int](12)) == placeholder[Int](13)) && (\n coll3(placeholder[Int](14)) == placeholder[Int](15)\n )) {(\n val box15 = coll1(placeholder[Int](16))\n val box16 = coll1(placeholder[Int](17))\n val box17 = OUTPUTS(placeholder[Int](18))\n val coll18 = SELF.tokens\n val coll19 = box17.R4[Coll[Int]].get\n val opt20 = opt8\n val tuple21 = tuple9\n val box22 = OUTPUTS(placeholder[Int](19))\n val coll23 = box16.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](20), placeholder[Coll[Byte]](21)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple24 = box22.tokens(placeholder[Int](22))\n allOf(\n Coll[Boolean](\n box15.tokens(placeholder[Int](23))._1 == coll5, box16.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), (\n coll7.indices.forall({(i25: Int) => if (i25 == i10) { coll7(i25) == l11 } else { coll7(i25) <= l11 } }) && (coll7.size > i10)\n ) && (i10 >= placeholder[Int](26)), allOf(\n Coll[Boolean](\n box17.propositionBytes == SELF.propositionBytes, box17.value >= SELF.value - placeholder[Long](27), box17.tokens(\n placeholder[Int](28)\n ) == coll18(placeholder[Int](29)), coll19(placeholder[Int](30)) == coll3(placeholder[Int](31)), box17.R5[Coll[Long]].get == coll6, box17.R6[\n AvlTree\n ].get == avlTree12, coll19(placeholder[Int](32)) == if ((\n l13 > box15.R5[Coll[Long]].get(placeholder[Int](33)) * byteArrayToLong(\n coll4(placeholder[Int](34)).get.slice(placeholder[Int](35), placeholder[Int](36))\n ) / placeholder[Long](37)\n ) && \n val l25 = l11\n l25 > l13 * byteArrayToLong(coll4(placeholder[Int](38)).get.slice(placeholder[Int](39), placeholder[Int](40))) / placeholder[Long](41)\n ) { i10 } else { placeholder[Int](42) }\n )\n ), CONTEXT.preHeader.timestamp > l14, allOf(\n Coll[Boolean](\n blake2b256(box22.propositionBytes) == coll23(placeholder[Int](43)).get.slice(\n placeholder[Int](44), placeholder[Int](45)\n ), box22.value >= placeholder[Long](46), tuple24._1 == placeholder[Coll[Byte]](47), tuple24._2 >= min(\n coll18(placeholder[Int](48))._2, byteArrayToLong(coll23(placeholder[Int](49)).get.slice(placeholder[Int](50), placeholder[Int](51)))\n )\n )\n )\n )\n )\n )} else {(\n val box15 = INPUTS(placeholder[Int](52))\n val box16 = INPUTS(placeholder[Int](53))\n val coll17 = box16.tokens(placeholder[Int](54))._1\n val coll18 = box16.R5[Coll[Byte]].get\n val coll19 = coll18.indices.slice(placeholder[Int](55), coll18.size / placeholder[Int](56)).map(\n {(i19: Int) => byteArrayToLong(coll18.slice(i19 * placeholder[Int](57), i19 + placeholder[Int](58) * placeholder[Int](59))) }\n )\n val l20 = coll19.fold(placeholder[Long](60), {(tuple20: (Long, Long)) => tuple20._1 + tuple20._2 })\n val box21 = OUTPUTS(placeholder[Int](61))\n val coll22 = box21.R5[Coll[Long]].get\n val opt23 = avlTree12.get(coll17, getVar[Coll[Byte]](1.toByte).get)\n val bool24 = opt23.isDefined\n val l25 = coll22(placeholder[Int](62))\n val coll26 = coll22.slice(placeholder[Int](63), coll22.size)\n val coll27 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box15.R4[Coll[AvlTree]].get(placeholder[Int](64)).get(coll17, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](65), placeholder[Int](66)\n )\n ) >= l20, box21.propositionBytes == SELF.propositionBytes, box21.value >= SELF.value, box21.tokens == SELF.tokens, box21.R4[\n Coll[Int]\n ].get == coll3, coll22(placeholder[Int](67)) == l14, if (bool24) {(\n val coll28 = opt23.get\n val coll29 = coll28.indices.slice(placeholder[Int](68), coll28.size / placeholder[Int](69)).map(\n {(i29: Int) => byteArrayToLong(coll28.slice(i29 * placeholder[Int](70), i29 + placeholder[Int](71) * placeholder[Int](72))) }\n )\n allOf(\n Coll[Boolean](\n l25 == l13 - coll29.fold(placeholder[Long](73), {(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 }) + l20, coll26 == coll7.zip(\n coll29.zip(coll19).map({(tuple30: (Long, Long)) => tuple30._2 - tuple30._1 })\n ).map({(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l25 == l13 + l20, coll26 == coll7.zip(coll19).map({(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })))\n }, box21.R6[AvlTree].get.digest == if (bool24) { avlTree12.update(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get } else {\n avlTree12.insert(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get\n }.digest, box15.tokens(placeholder[Int](74))._1 == coll5, coll22 != coll6\n )\n )\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3fe8946fb85057a291e577fc97ed461325069219bc3f6f617efa46d6b3395ca5",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020601",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,-1]"
},
"R5": {
"serializedValue": "11049cc299d5d864080206",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1729887416462,4,1,3]"
},
"R6": {
"serializedValue": "642922470edb7697d21d35eb2bdaffabf01346ad3ccb251f4f9bbf9c75d003442603072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e2d2d41646a75737420746865204672657175656e6379206f6620426f6e757320546f6b656e205061796f7574732e",
"sigmaType": "Coll[SByte]",
"renderedValue": "2d41646a75737420746865204672657175656e6379206f6620426f6e757320546f6b656e205061796f7574732e"
}
}
},
{
"boxId": "08f3fcb786353cdd14bf50aab1b17328728ba571a10260c83ec223cfbe01c4ff",
"value": 3000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "c6dd3bd67eded8381e09c51cbcf3a5dc3faf60f4b4991a0689208006bc2a6a31",
"outputTransactionId": "4ff2ffb5138e80ebde02dd465b9a885bbe50f4aad91350b01b0bad50b7f18205",
"outputIndex": 0,
"outputGlobalIndex": 43366759,
"outputCreatedAt": 1378724,
"outputSettledAt": 1378727,
"ergoTree": "100b040004000580897a043c0406040404000400040004000e203fe8946fb85057a291e577fc97ed461325069219bc3f6f617efa46d6b3395ca5d19593c5b2a4730000c5a7d801d601b2a57301009683040192c1720199c1a7730293db63087201db6308a793c27201e4c6a7060e92db6905db6503fe9a8cc7a7017303d802d601b2a5730400d602b2a4730500968302019683020193b2db63087201730600b2db6308a773070093c27201e4c6a7060e9683020193b2e4c672020410730800e4c6a70404938cb2db6308720273090001730a",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 30\n4: 3\n5: 2\n6: 0\n7: 0\n8: 0\n9: 0\n10: Coll(63,-24,-108,111,-72,80,87,-94,-111,-27,119,-4,-105,-19,70,19,37,6,-110,25,-68,63,111,97,126,-6,70,-42,-77,57,92,-91)",
"ergoTreeScript": "{sigmaProp(if (INPUTS(placeholder[Int](0)).id == SELF.id) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n allOf(Coll[Boolean](box1.value >= SELF.value - placeholder[Long](2), box1.tokens == SELF.tokens, box1.propositionBytes == SELF.R6[Coll[Byte]].get, CONTEXT.preHeader.height >= SELF.creationInfo._1 + placeholder[Int](3)))\n )} else {(\n val box1 = OUTPUTS(placeholder[Int](4))\n val box2 = INPUTS(placeholder[Int](5))\n allOf(Coll[Boolean](allOf(Coll[Boolean](box1.tokens(placeholder[Int](6)) == SELF.tokens(placeholder[Int](7)), box1.propositionBytes == SELF.R6[Coll[Byte]].get)), allOf(Coll[Boolean](box2.R4[Coll[Int]].get(placeholder[Int](8)) == SELF.R4[Int].get, box2.tokens(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10)))))\n )})}",
"address": "9Uw9EcVR9bTZiBnKeqMaR3kRuEpe18BPe7a3bv9RSeu7zZZ9N56brNJFEX7TofHjuA6kk3jWU1v7BzPUQN1jmogsmLQyv5evk3Bt7zCnzKjgMdcGBGkmNio5a1N6b4JbXazxk3X3Fe4SXyiJmmXq4WbRkV4kq5yhNmSPzgh4c7anHGh32KiyEJPwtW1Hfftgy8cRsUTi6WToQEFTpSJ6BzhR5TcYx4knqtAs6dnwQaThTKJBkSaoAAEUCbGRK2oZevN8tBE2WhFuSHpQCKgzjAeD8tugEDDES2bd4",
"assets": [
{
"tokenId": "5f3789e1b83fdbf8484ed60e6481a060cc6d851badbbee4986f919fe12f22136",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0406",
"sigmaType": "SInt",
"renderedValue": "3"
},
"R5": {
"serializedValue": "0e1000000000000000000000000000000001",
"sigmaType": "Coll[SByte]",
"renderedValue": "00000000000000000000000000000001"
},
"R6": {
"serializedValue": "0e240008cd03df052c10fc1e2cc296e58d6151cf5be8080c984121ba52dd15ddcf250e15dc17",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03df052c10fc1e2cc296e58d6151cf5be8080c984121ba52dd15ddcf250e15dc17"
}
}
}
],
"dataInputs": [
{
"boxId": "651221d2bd0c02a4756003860799af359db0047da0eb466cf5587059eb24715b",
"value": 1000000,
"index": 0,
"outputBlockId": "e5ebf93d196afd42ba5cd02167fd81b7c4e26c60903a796fb8469dc6e85a3f95",
"outputTransactionId": "f9333ef9ea36dba075581664d1de7f920091a962255a7e6a78dbc6b3b1937465",
"outputIndex": 1,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e205dbad4002a5cdebad07509c47a408046cae9c7afea8d8793287e78aae38df05c0100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfjz3gCRdb8JZekMWa7LB47tor3y9P6rbiwuyqjbiB6ZsoA3zTNFgUW5JWVCqB7RJhdEkerWUz3dWVmU53coDL2JvtuM2FC4vxmA2ExDw7LhHYuoVs7gs9exkj3hiqRph3v6dujseDyCYV3jB4TqVBPncsamE5FCr92dcNvAkfUeyhRgF8w8c1eyHCyLa",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64990a53458d4ad9996c1ad6ca713b52209ac2419d7efb827849a5d1f8ca6bf9d606072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "9605fe5f3200e0958281c404ea7d47d4ee812c39db7b81c3ad636dc07760cfb9",
"transactionId": "a91d2d2effa3a94449dead7f129eee7738b6576e87e17001c44d5b2dac1b522a",
"blockId": "c6dd3bd67eded8381e09c51cbcf3a5dc3faf60f4b4991a0689208006bc2a6a31",
"value": 1000000,
"index": 0,
"globalIndex": 43366762,
"creationHeight": 1378725,
"settlementHeight": 1378727,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n4: Coll(-120,48,97,44,82,53,95,111,40,13,18,-105,-15,-97,103,-80,120,-55,-38,-89,-41,-80,75,69,-100,-111,-52,100,73,87,-62,-128)\n5: Coll(-117,-57,-113,28,106,-82,-55,30,98,-114,21,-49,102,-116,22,-52,30,-101,-40,-28,-71,-73,-31,109,99,24,-75,-11,35,-91,-23,-67)\n6: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n7: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n8: Coll(58,17,-107,92,71,25,-27,-120,-68,-26,-89,97,29,39,-67,31,-33,-37,87,56,92,-82,-30,102,-40,4,12,-119,79,28,46,29)\n9: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n10: 0\n11: 0\n12: Coll(-88,-64,79,105,-47,-5,-5,-5,60,-96,6,47,109,-57,-16,-36,59,-11,-7,77,84,-31,-65,-12,110,-118,-16,-1,-34,60,-88,-2)\n13: 0\n14: 6\n15: 0\n16: 1\n17: 1\n18: 33\n19: 1\n20: 2\n21: 1\n22: 33\n23: 2\n24: 3\n25: 1\n26: 33\n27: 3\n28: 4\n29: 1\n30: 33\n31: 4\n32: 5\n33: 1\n34: 33\n35: 5\n36: 6\n37: 1\n38: 33\n39: 6\n40: 7\n41: 1\n42: 33\n43: 0\n44: 1\n45: 33\n46: 0\n47: 0\n48: 1\n49: 1",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val b2 = getVar[Byte](1.toByte).get\n val i3 = b2.toInt\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n Coll[Byte]\n ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box6 = OUTPUTS(placeholder[Int](10))\n val coll7 = box6.tokens\n val coll8 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), (i3 >= placeholder[Int](13)) && (i3 <= placeholder[Int](14)), anyOf(\n Coll[Boolean](\n (b2 == placeholder[Byte](15)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18))\n ), (b2 == placeholder[Byte](19)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](20)).get.slice(placeholder[Int](21), placeholder[Int](22))\n ), (b2 == placeholder[Byte](23)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](24)).get.slice(placeholder[Int](25), placeholder[Int](26))\n ), (b2 == placeholder[Byte](27)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))\n ), (b2 == placeholder[Byte](31)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](32)).get.slice(placeholder[Int](33), placeholder[Int](34))\n ), (b2 == placeholder[Byte](35)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))\n ), (b2 == placeholder[Byte](39)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))\n )\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box6.propositionBytes) == coll5(placeholder[Int](43)).get.slice(placeholder[Int](44), placeholder[Int](45)), coll7(\n placeholder[Int](46)\n ) == coll8(placeholder[Int](47)), coll7(placeholder[Int](48))._1 == coll8(placeholder[Int](49))._1\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "23233100be8a7b9243ff2a3780e5acf600f60aa15a803bcd91e97c8e493862dc",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "093036f093dd3e049179a9b25f7622ac21cf7c9d375af490eaaa433642fb69cd",
"index": 1,
"amount": 13,
"name": "Sigmanauts Mining DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107a8d9f9ee9b64181826260000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1721727137364,12,12,19,19,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64022c102dfcc827aad8adf9336d78822649f2a754198fb0242e48e5a292e394aafd040720000962b1f363face6b10c85935808eae23b658188da1769e58a82cdcc605efb39a04072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "01e905b4f654e4a52f7d605661a781b15c04323d680607180706dcda659bb01d",
"mainChain": true
},
{
"boxId": "5e5f210d85da54fecb3cb461f68a06d574bd4c35a1a527b4395fc3c453f76f5e",
"transactionId": "a91d2d2effa3a94449dead7f129eee7738b6576e87e17001c44d5b2dac1b522a",
"blockId": "c6dd3bd67eded8381e09c51cbcf3a5dc3faf60f4b4991a0689208006bc2a6a31",
"value": 1000000,
"index": 1,
"globalIndex": 43366763,
"creationHeight": 1378725,
"settlementHeight": 1378727,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 0\n2: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n3: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n4: Coll(61,-86,102,-128,-114,105,-62,90,-23,50,-35,102,97,28,95,11,60,-70,-54,-47,18,82,3,-24,125,-115,-60,-111,-122,28,113,-26)\n5: 1\n6: 3\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 8\n14: 8\n15: 1\n16: 0\n17: 8\n18: 0\n19: 1\n20: 8\n21: 16\n22: 0\n23: 0\n24: 8\n25: 8\n26: 1\n27: 8\n28: 0\n29: 0\n30: 8\n31: 8\n32: 1\n33: 8\n34: 0\n35: 0\n36: 2\n37: 6\n38: 38\n39: 0\n40: 1\n41: 33\n42: 3\n43: 0\n44: 0\n45: 1\n46: 0\n47: 0\n48: 1\n49: 1\n50: 2\n51: 2\n52: 3\n53: 3\n54: 4\n55: 4\n56: 5\n57: 5\n58: 0\n59: 1\n60: 6\n61: 38\n62: 0\n63: Coll(-88,-64,79,105,-47,-5,-5,-5,60,-96,6,47,109,-57,-16,-36,59,-11,-7,77,84,-31,-65,-12,110,-118,-16,-1,-34,60,-88,-2)",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val box4 = OUTPUTS(placeholder[Int](5))\n val box5 = INPUTS(placeholder[Int](6))\n val coll6 = box5.tokens(placeholder[Int](7))._1\n val box7 = OUTPUTS(placeholder[Int](8))\n val box8 = INPUTS(placeholder[Int](9))\n val coll9 = box8.tokens\n val coll10 = box7.R4[Coll[AvlTree]].get\n val coll11 = box8.R4[Coll[AvlTree]].get\n val avlTree12 = coll11(placeholder[Int](10))\n val coll13 = avlTree12.get(coll6, getVar[Coll[Byte]](2.toByte).get).get\n val coll14 = longToByteArray(\n max(box1.R5[Coll[Long]].get(placeholder[Int](11)), byteArrayToLong(coll13.slice(placeholder[Int](12), placeholder[Int](13))))\n ).append(coll13.slice(placeholder[Int](14), coll13.size))\n val avlTree15 = coll11(placeholder[Int](15))\n val opt16 = avlTree15.get(coll6, getVar[Coll[Byte]](4.toByte).get)\n val bool17 = opt16.isDefined\n val opt18 = box1.R6[AvlTree].get.get(coll6, getVar[Coll[Byte]](1.toByte).get)\n val bool19 = opt18.isDefined\n val l20 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](16), placeholder[Int](17))) } else { placeholder[Long](18) }\n val l21 = if (bool19) { l20 } else { l20 + placeholder[Long](19) }\n val l22 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](20), placeholder[Int](21))) } else { placeholder[Long](22) }\n val coll23 = box5.R5[Coll[Byte]].get\n val l24 = coll23.indices.slice(placeholder[Int](23), coll23.size / placeholder[Int](24)).map(\n {(i24: Int) => byteArrayToLong(coll23.slice(i24 * placeholder[Int](25), i24 + placeholder[Int](26) * placeholder[Int](27))) }\n ).fold(placeholder[Long](28), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 })\n val l25 = if (bool19) {(\n val coll25 = opt18.get\n l22 - coll25.indices.slice(placeholder[Int](29), coll25.size / placeholder[Int](30)).map(\n {(i26: Int) => byteArrayToLong(coll25.slice(i26 * placeholder[Int](31), i26 + placeholder[Int](32) * placeholder[Int](33))) }\n ).fold(placeholder[Long](34), {(tuple26: (Long, Long)) => tuple26._1 + tuple26._2 }) + l24\n )} else { l22 + l24 }\n val coll26 = longToByteArray(l21).append(longToByteArray(l25))\n val coll27 = getVar[Coll[Byte]](5.toByte).get\n val coll28 = box7.R5[Coll[Long]].get\n val coll29 = box8.R5[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](35))._1 == coll3(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38)), allOf(\n Coll[Boolean](\n blake2b256(box4.propositionBytes) == coll3(placeholder[Int](39)).get.slice(placeholder[Int](40), placeholder[Int](41)), box4.value >= SELF.value\n )\n ), OUTPUTS(placeholder[Int](42)).tokens(placeholder[Int](43))._1 == coll6, allOf(\n Coll[Boolean](\n box7.value == box8.value, box7.tokens == coll9, coll10(placeholder[Int](44)).digest == avlTree12.update(\n Coll[(Coll[Byte], Coll[Byte])]((coll6, coll14)), getVar[Coll[Byte]](3.toByte).get\n ).get.digest, coll10(placeholder[Int](45)).digest == if (bool17) {\n avlTree15.update(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get\n } else { avlTree15.insert(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get }.digest, coll28(placeholder[Int](46)) == coll29(\n placeholder[Int](47)\n ), coll28(placeholder[Int](48)) == coll29(placeholder[Int](49)), coll28(placeholder[Int](50)) == coll29(placeholder[Int](51)), coll28(\n placeholder[Int](52)\n ) == coll29(placeholder[Int](53)) + l21 - l20, coll28(placeholder[Int](54)) == coll29(placeholder[Int](55)) + l25 - l22, coll28.slice(\n placeholder[Int](56), coll28.size\n ) == coll29.slice(placeholder[Int](57), coll29.size), box7.R6[Coll[Coll[Long]]].get == box8.R6[Coll[Coll[Long]]].get, box7.R7[\n Coll[(AvlTree, AvlTree)]\n ].get == box8.R7[Coll[(AvlTree, AvlTree)]].get, box7.R8[Coll[Long]].get == box8.R8[Coll[Long]].get\n )\n ), coll9(placeholder[Int](58))._1 == coll3(placeholder[Int](59)).get.slice(placeholder[Int](60), placeholder[Int](61)), box2.tokens(\n placeholder[Int](62)\n )._1 == placeholder[Coll[Byte]](63), getVar[Coll[Byte]](6.toByte).get == coll14, getVar[Coll[Byte]](7.toByte).get == coll26\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "274950e5f61b1b5f9cd79f8ebb87f7178e87f05db7772a26c09c3f2cd14b6f3c",
"mainChain": true
},
{
"boxId": "f9e326d41c3b7f16de3e1b06eccacb12a98e8a569a89d9c448335c8289b8a0bb",
"transactionId": "a91d2d2effa3a94449dead7f129eee7738b6576e87e17001c44d5b2dac1b522a",
"blockId": "c6dd3bd67eded8381e09c51cbcf3a5dc3faf60f4b4991a0689208006bc2a6a31",
"value": 4000000,
"index": 2,
"globalIndex": 43366764,
"creationHeight": 1378725,
"settlementHeight": 1378727,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n2: Coll(-81,120,91,10,-35,-128,92,92,49,-15,-52,58,62,-106,-56,-112,8,-3,113,39,50,1,7,-93,120,75,127,73,-23,86,72,66)\n3: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n4: 2\n5: 6\n6: 38\n7: 2\n8: 1\n9: 0\n10: 0\n11: Coll(-88,-64,79,105,-47,-5,-5,-5,60,-96,6,47,109,-57,-16,-36,59,-11,-7,77,84,-31,-65,-12,110,-118,-16,-1,-34,60,-88,-2)\n12: -1\n13: 0\n14: 1\n15: -1\n16: 1\n17: 2\n18: 0\n19: 1\n20: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n21: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n22: 0\n23: 0\n24: 0\n25: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n26: 0\n27: 3000000\n28: 0\n29: 0\n30: 0\n31: 0\n32: 1\n33: 1\n34: 0\n35: 1\n36: 9\n37: 1000\n38: 1\n39: 1\n40: 9\n41: 1000\n42: -2\n43: 1\n44: 1\n45: 33\n46: 1000000\n47: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n48: 1\n49: 0\n50: 1\n51: 9\n52: 0\n53: 3\n54: 0\n55: 0\n56: 8\n57: 8\n58: 1\n59: 8\n60: 0\n61: 2\n62: 1\n63: 2\n64: 0\n65: 8\n66: 16\n67: 0\n68: 0\n69: 8\n70: 8\n71: 1\n72: 8\n73: 0\n74: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = SELF.R4[Coll[Int]].get\n val coll4 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](1), placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3)), getVar[Coll[Byte]](0.toByte).get\n )\n val coll5 = coll4(placeholder[Int](4)).get.slice(placeholder[Int](5), placeholder[Int](6))\n val coll6 = SELF.R5[Coll[Long]].get\n val coll7 = coll6.slice(placeholder[Int](7), coll6.size)\n val opt8 = getVar[(Int, Long)](4.toByte)\n val tuple9 = opt8.get\n val i10 = tuple9._1\n val l11 = tuple9._2\n val avlTree12 = SELF.R6[AvlTree].get\n val l13 = coll6(placeholder[Int](8))\n val l14 = coll6(placeholder[Int](9))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](10))._1 == placeholder[Coll[Byte]](11), if ((INPUTS.indexOf(SELF, placeholder[Int](12)) == placeholder[Int](13)) && (\n coll3(placeholder[Int](14)) == placeholder[Int](15)\n )) {(\n val box15 = coll1(placeholder[Int](16))\n val box16 = coll1(placeholder[Int](17))\n val box17 = OUTPUTS(placeholder[Int](18))\n val coll18 = SELF.tokens\n val coll19 = box17.R4[Coll[Int]].get\n val opt20 = opt8\n val tuple21 = tuple9\n val box22 = OUTPUTS(placeholder[Int](19))\n val coll23 = box16.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](20), placeholder[Coll[Byte]](21)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple24 = box22.tokens(placeholder[Int](22))\n allOf(\n Coll[Boolean](\n box15.tokens(placeholder[Int](23))._1 == coll5, box16.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), (\n coll7.indices.forall({(i25: Int) => if (i25 == i10) { coll7(i25) == l11 } else { coll7(i25) <= l11 } }) && (coll7.size > i10)\n ) && (i10 >= placeholder[Int](26)), allOf(\n Coll[Boolean](\n box17.propositionBytes == SELF.propositionBytes, box17.value >= SELF.value - placeholder[Long](27), box17.tokens(\n placeholder[Int](28)\n ) == coll18(placeholder[Int](29)), coll19(placeholder[Int](30)) == coll3(placeholder[Int](31)), box17.R5[Coll[Long]].get == coll6, box17.R6[\n AvlTree\n ].get == avlTree12, coll19(placeholder[Int](32)) == if ((\n l13 > box15.R5[Coll[Long]].get(placeholder[Int](33)) * byteArrayToLong(\n coll4(placeholder[Int](34)).get.slice(placeholder[Int](35), placeholder[Int](36))\n ) / placeholder[Long](37)\n ) && \n val l25 = l11\n l25 > l13 * byteArrayToLong(coll4(placeholder[Int](38)).get.slice(placeholder[Int](39), placeholder[Int](40))) / placeholder[Long](41)\n ) { i10 } else { placeholder[Int](42) }\n )\n ), CONTEXT.preHeader.timestamp > l14, allOf(\n Coll[Boolean](\n blake2b256(box22.propositionBytes) == coll23(placeholder[Int](43)).get.slice(\n placeholder[Int](44), placeholder[Int](45)\n ), box22.value >= placeholder[Long](46), tuple24._1 == placeholder[Coll[Byte]](47), tuple24._2 >= min(\n coll18(placeholder[Int](48))._2, byteArrayToLong(coll23(placeholder[Int](49)).get.slice(placeholder[Int](50), placeholder[Int](51)))\n )\n )\n )\n )\n )\n )} else {(\n val box15 = INPUTS(placeholder[Int](52))\n val box16 = INPUTS(placeholder[Int](53))\n val coll17 = box16.tokens(placeholder[Int](54))._1\n val coll18 = box16.R5[Coll[Byte]].get\n val coll19 = coll18.indices.slice(placeholder[Int](55), coll18.size / placeholder[Int](56)).map(\n {(i19: Int) => byteArrayToLong(coll18.slice(i19 * placeholder[Int](57), i19 + placeholder[Int](58) * placeholder[Int](59))) }\n )\n val l20 = coll19.fold(placeholder[Long](60), {(tuple20: (Long, Long)) => tuple20._1 + tuple20._2 })\n val box21 = OUTPUTS(placeholder[Int](61))\n val coll22 = box21.R5[Coll[Long]].get\n val opt23 = avlTree12.get(coll17, getVar[Coll[Byte]](1.toByte).get)\n val bool24 = opt23.isDefined\n val l25 = coll22(placeholder[Int](62))\n val coll26 = coll22.slice(placeholder[Int](63), coll22.size)\n val coll27 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box15.R4[Coll[AvlTree]].get(placeholder[Int](64)).get(coll17, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](65), placeholder[Int](66)\n )\n ) >= l20, box21.propositionBytes == SELF.propositionBytes, box21.value >= SELF.value, box21.tokens == SELF.tokens, box21.R4[\n Coll[Int]\n ].get == coll3, coll22(placeholder[Int](67)) == l14, if (bool24) {(\n val coll28 = opt23.get\n val coll29 = coll28.indices.slice(placeholder[Int](68), coll28.size / placeholder[Int](69)).map(\n {(i29: Int) => byteArrayToLong(coll28.slice(i29 * placeholder[Int](70), i29 + placeholder[Int](71) * placeholder[Int](72))) }\n )\n allOf(\n Coll[Boolean](\n l25 == l13 - coll29.fold(placeholder[Long](73), {(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 }) + l20, coll26 == coll7.zip(\n coll29.zip(coll19).map({(tuple30: (Long, Long)) => tuple30._2 - tuple30._1 })\n ).map({(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l25 == l13 + l20, coll26 == coll7.zip(coll19).map({(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })))\n }, box21.R6[AvlTree].get.digest == if (bool24) { avlTree12.update(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get } else {\n avlTree12.insert(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get\n }.digest, box15.tokens(placeholder[Int](74))._1 == coll5, coll22 != coll6\n )\n )\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3fe8946fb85057a291e577fc97ed461325069219bc3f6f617efa46d6b3395ca5",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020601",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,-1]"
},
"R5": {
"serializedValue": "11049cc299d5d8640a0208",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1729887416462,5,1,4]"
},
"R6": {
"serializedValue": "646577fd4752b93435153c0fae90796f4a4d1c4f21dbe9b7b816607eab99a7120203072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e2d2d41646a75737420746865204672657175656e6379206f6620426f6e757320546f6b656e205061796f7574732e",
"sigmaType": "Coll[SByte]",
"renderedValue": "2d41646a75737420746865204672657175656e6379206f6620426f6e757320546f6b656e205061796f7574732e"
}
},
"spentTransactionId": "274950e5f61b1b5f9cd79f8ebb87f7178e87f05db7772a26c09c3f2cd14b6f3c",
"mainChain": true
},
{
"boxId": "e50c896fc8e779a55334daae14fb3978b553a5f1347a4474005e5c5425ab3fe9",
"transactionId": "a91d2d2effa3a94449dead7f129eee7738b6576e87e17001c44d5b2dac1b522a",
"blockId": "c6dd3bd67eded8381e09c51cbcf3a5dc3faf60f4b4991a0689208006bc2a6a31",
"value": 1000000,
"index": 3,
"globalIndex": 43366765,
"creationHeight": 1378725,
"settlementHeight": 1378727,
"ergoTree": "0008cd03df052c10fc1e2cc296e58d6151cf5be8080c984121ba52dd15ddcf250e15dc17",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(df052c,25b1e1,...)))}",
"address": "9iA2SfE5ADugiMFkiL5YDM7893m4fZj47JJsR4LmkdLRqc7JeLB",
"assets": [
{
"tokenId": "5f3789e1b83fdbf8484ed60e6481a060cc6d851badbbee4986f919fe12f22136",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7f2fbe6ba1221e2e196fd8e45bd7a394e586ed03469d487471bad14bb9d7e9e5",
"mainChain": true
},
{
"boxId": "9a349fc366027934f4abed9992265c006a02f918fba2682edf1ef564dc768d9f",
"transactionId": "a91d2d2effa3a94449dead7f129eee7738b6576e87e17001c44d5b2dac1b522a",
"blockId": "c6dd3bd67eded8381e09c51cbcf3a5dc3faf60f4b4991a0689208006bc2a6a31",
"value": 1960040,
"index": 4,
"globalIndex": 43366766,
"creationHeight": 1378725,
"settlementHeight": 1378727,
"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": "58a2cbc8be01989d45006cdb0598440f6990cd58bd0e33ec54b591aed9d73e09",
"mainChain": true
},
{
"boxId": "42396714896cbf66718798ecb81e0564600d9ee24294ad1ede0ff40843a54559",
"transactionId": "a91d2d2effa3a94449dead7f129eee7738b6576e87e17001c44d5b2dac1b522a",
"blockId": "c6dd3bd67eded8381e09c51cbcf3a5dc3faf60f4b4991a0689208006bc2a6a31",
"value": 39960,
"index": 5,
"globalIndex": 43366767,
"creationHeight": 1378725,
"settlementHeight": 1378727,
"ergoTree": "0008cd023812ba777e72f8e606cda4d4faa2288d439a16cd7c462dc12d3e10a317b019e7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3812ba,bc1fbe,...)))}",
"address": "9ewkq1bvnTdmEc7zwmVBxN8rKri8cYNQbgJtMLUxLsFu5AcDCWE",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "cfd706be48044cc38694356b881c66074ebb91cdf1855749e243396ab1793237",
"mainChain": true
}
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}