Transaction
ID: 00a14f9db7...e68f
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: 516,534
Total coins transferred: 0.009 ERG
Fees: 0.00196004 ERG
Fees per byte: 0.000000236 ERG
Raw Transaction Data
{
"id": "00a14f9db76a6bd5c3228364b7a749fc339ba48576e2c92ed6bcfc1eaf99e68f",
"blockId": "090a9a8353ebdb5c1ff34b3728839d99d26e3477d041e6eec8b4221c0995414d",
"inclusionHeight": 1243135,
"timestamp": 1713135783878,
"index": 11,
"globalIndex": 7018273,
"numConfirmations": 516534,
"inputs": [
{
"boxId": "9ef148f30fbab315a364e1f8d2cc1695e55f78b5774455d6f066fd5f2e5b88e6",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "fbc2e7cb4aeb72d44d3690c9d364a0d087e600af63cef76a5f16f455030d7f0a",
"outputTransactionId": "8f6bb72865350bcff69dec24f261225c3ac4b8210502a6144c99c7a0d5cdead3",
"outputIndex": 0,
"outputGlobalIndex": 39199620,
"outputCreatedAt": 1242928,
"outputSettledAt": 1242931,
"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(9,7,125,68,-105,51,108,7,79,113,34,107,126,78,64,3,27,-47,72,-95,43,-24,-122,-110,-40,28,43,-35,-42,27,82,-18)\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": "f1a677691f441b3baee45e043709bffe62a22e8b4e8646a5d2a79e0bd00c09aa",
"index": 0,
"amount": 1,
"name": "Walrus DAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "59ee24951ce668f0ed32bdb2e2e5731b6c36128748a3b23c28407c5f8ccbf0f6",
"index": 1,
"amount": 7001,
"name": "WALRUS",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107f48ac2c9d963b06d0c0cb06d0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1712829514426,7000,6,6,7000,0,0]"
},
"R6": {
"serializedValue": "1d05020000020000020000020000020000",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0],[0,0],[0,0],[0,0],[0,0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402b01f638bfebcb46bd093724bab2fcf10763b8e051cb775f7f63ab008ab3380ba030720007ff482b0e27dd7dc6b61a59b6a276b4828f7226abf8514b594a9aa4b811be98f03072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "59c456beb7fb33ab893ba73ce42aca91b1cb72a6ff2d9dd0a5c5ff8cab9f25ce",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "fbc2e7cb4aeb72d44d3690c9d364a0d087e600af63cef76a5f16f455030d7f0a",
"outputTransactionId": "26522cbae859e583e24c83bc5b5b206581cf6a1f1af056a2cb8d7368845491d7",
"outputIndex": 1,
"outputGlobalIndex": 39199598,
"outputCreatedAt": 1242928,
"outputSettledAt": 1242931,
"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(9,7,125,68,-105,51,108,7,79,113,34,107,126,78,64,3,27,-47,72,-95,43,-24,-122,-110,-40,28,43,-35,-42,27,82,-18)",
"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": "8rvGef3C7PFd9pL1N1uANKfymaHjn3nhePqmdVz8bGnQAVn23TQY9EDqYzYtv8aLSftVJXNgxAEVNc8dDBZX488tozAqBZQ7frYhXMsSwnFjZdWcZrp8FfPYbWXNfkX1usCQfg7LhNkuYKBv6fXFL8V93VmY6kJA6NzxgTBo2BDw6wQMnCCSJbRMqJEQ7W6dirF3gAryTrgPUYnqNcKY593MkYUNM9xHtS5Zpmi3LiQ2PDyyrDaPAmjLhYqwBB6fub5EChZ649ZpKoK4HCxapEeTVsxa1CibnnhW2xZ5VBA5GuUALVE3yzuuMar62h1DnMGGqVnAqLMHonX2Gb286NxiAnryxNc8mma8VeKRpvo3SbYU7gELVhAHbHhCbUMJYb6xvn9ycBr8LbeGQm9U9C68PcEiKdKJgp2JA1n4ThwV46hzN9uoJFigUextywd2yfu6364nWhRHX1vM9AGozuvdu3YTZQdhXSp1Xu21McUY697zAqX5ZdoQrtBSchpaTGBH2UghAZjhSfGPgT2W1rWRYqnmp37zbuuwEMckzryHDgKZV14uFP7vfCwabmPgiQoLq1xgDjZLVn5PMUuQ1j2yJToRVdS13pFGDZbfJ5zmoHYaze7VFB2mxfNkTMzP4XDtPPXHuJFmZXcxKTf1pWMeWX2Ayc3o2btjpf7mAX8AL8xbsDA86qzPQkkn4XaKtXVrAsi3hziEZef4TALc7bqVxxurB19ZARVvKXsCoDTMP7ZSFgK56WMhwVZMyFFHMMmvjYDc2pdYHH3CP2uWzr7pFFHiJsxXfM1pJaeSUpH6fTa4yw9Eh871PHtwehoqX6N4K433836Wd1wtyqdN2FehMfHtf7aoyUVnAQe1gSvNLw8iDmbYf845YGYMQY1t4vTgMd2JNMxbEJQJMRu19bwoo1f2qooMJXXB2TREkw2vZRp6ZwApzBcFecWfhG6husbiv8rCMEmrcsqtZaWrkrPZqQdPjEzByo6VEpY8JXEY3JCJ6Y6FDvXwortcd2ycmcHAxmX9CS34bvLAKBXuNdrPT58RywX7jTmG3qKzd2pr8bj7JxhznqkvjV7WYLTKobNTGYgxFyLnwr1iu1LMUcdkHb1xkBCNArstZ8NFZ7EmkMTQcfxZZ6g3osiHfRUr6PJx3Su2xyQjwYbxnrSWSqYHgnJS9hVP6cpz4yUX6PJmH8iUmRShtUvZuX6ubyMmgBj2wSAPu4GFegFPWHWRh4RQdUtyx25zF1kTuqk4NudKXAXEacCxuEEPkUBi78xynQd3UQTKZmxaN71s1qB3spLdA63uoHEGzGkmVJSaZ4RUTYSQyTig8BckKr7Zdiy25uALHgret6pSyrhERrACaYWAyB6ZdtxFHBjXQYqp42sLmqtPMQ7KLT9siAcM22ALzZuZCiKkQ6YimcBZm1Sq3tpkyjsvveL9KaqgBZY",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "270f0cd2ca603cbbb073528b06dc13bdd6de812753143bb306a71637aa95ccb8",
"value": 4000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "28c2949bb976855d1b7722f6117acd8334d8facb45292f912ed0d236ac7d3b12",
"outputTransactionId": "7a5b71adfa9b530f50c74a2f3f84a035de3ddfc0af8f1ae995567849645f3635",
"outputIndex": 1,
"outputGlobalIndex": 39208387,
"outputCreatedAt": 1243128,
"outputSettledAt": 1243132,
"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(9,7,125,68,-105,51,108,7,79,113,34,107,126,78,64,3,27,-47,72,-95,43,-24,-122,-110,-40,28,43,-35,-42,27,82,-18)\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": "4a9869117536fa26da509e2f825de0e926ca0b07141a7c756c656d67437cbb4a",
"index": 0,
"amount": 1,
"name": "Walrus DAO Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020401",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,-1]"
},
"R5": {
"serializedValue": "1104a8d7e589df63000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1713568003540,0,0,0]"
},
"R6": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e185570646174652044414f20436f6e66696775726174696f6e",
"sigmaType": "Coll[SByte]",
"renderedValue": "5570646174652044414f20436f6e66696775726174696f6e"
}
}
},
{
"boxId": "d68b747772a570b95ce6073c8432219fca9da6692c86c56ab6dc10a0d1c9a10d",
"value": 3000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "090a9a8353ebdb5c1ff34b3728839d99d26e3477d041e6eec8b4221c0995414d",
"outputTransactionId": "9919a42402a5eb9285ddde47d8b2533bf10b1e945a4b14f11f8b0a0c6990253a",
"outputIndex": 0,
"outputGlobalIndex": 39208462,
"outputCreatedAt": 1243132,
"outputSettledAt": 1243135,
"ergoTree": "100b040004000580897a043c0406040404000400040004000e204a9869117536fa26da509e2f825de0e926ca0b07141a7c756c656d67437cbb4ad19593c5b2a4730000c5a7d801d601b2a57301009683040192c1720199c1a7730293db63087201db6308a793c27201e4c6a7060e92db6905db6503fe9a8cc7a7017303d802d601b2a5730400d602b2a4730500968302019683020193b2db63087201730600b2db6308a773070093c27201e4c6a7060e9683020193b2e4c672020410730800e4c6a70404938cb2db6308720273090001730a",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 30\n4: 3\n5: 2\n6: 0\n7: 0\n8: 0\n9: 0\n10: Coll(74,-104,105,17,117,54,-6,38,-38,80,-98,47,-126,93,-32,-23,38,-54,11,7,20,26,124,117,108,101,109,103,67,124,-69,74)",
"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": "9Uw9EcVR9bTZiBnKeqMaR3kRuEpe18BPe7a3cmkuJxNKpsNC9KDtqWejG9BBwQCvunYHhRYKRUCBLqiB5SmL7TSSnMGpJentQQzoGJhgsh8ie5m57qkWF42npxfCrLidjqCBtFMP8CMru2J8iPgqxv1mhe4DGmJF5WqtzzpSpvXTndHRxzePcEmK5nZA4tzR845CDpmmXzb9FSXZUAZXp9Qoa23P5HBfyYtaPq3deZUwQUeVBSkek539Csbo77A1ijE319cWt8TFdNXvtADsLJPhBFwDc57ofYG62",
"assets": [
{
"tokenId": "d0e9f75d8091a539076850805d90c4a5db4ede4d412b378b3da69b99bd2837d2",
"index": 0,
"amount": 1,
"name": "Walrus DAO Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0404",
"sigmaType": "SInt",
"renderedValue": "2"
},
"R5": {
"serializedValue": "0e10000000000000000000000000000003e8",
"sigmaType": "Coll[SByte]",
"renderedValue": "000000000000000000000000000003e8"
},
"R6": {
"serializedValue": "0e240008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c"
}
}
}
],
"dataInputs": [
{
"boxId": "63a4751abedb7e7ca28b846d359d7b0edfc4e1c5eb75717375680bc412e974f2",
"value": 1000000,
"index": 0,
"outputBlockId": "0db011aef6480d7e9843d9b64ff4995a083a2d3f90d1041dc2a036e6198c984f",
"outputTransactionId": "49b50b4049bc940c7fc3a0dd29160737146664841f512f5c32458fdad9322225",
"outputIndex": 0,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e2057a5fdc741e31a55da9818be38791d4b0aea3814692a223e53c2a6acc9d484ca0100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfhxS4B7pnHK9U4MfwgAyZwYi4EPk6QVQHHfDUgnLBeqthkd8pmnAfSnNokCv5ddxjDxB8aNcWoFYEaMNSnmyowgv2eCZ2UhaW3v1hJZLiwMWEnJdS59KH9SS79rSEpj61XAmsShhQ9Scbn3YBKpKAJimiDtPB8t2egzuJmMWrmpSGog4BRYCzY36hh5S",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "6406710096aa7663275121713286cba864f301585d9d1ee3fc2d8c8bcfc5a28db006072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "caf220d42eb9c5f8b0bde4b0ba070e534ff4a872d9e83ebb4179973d58b02570",
"transactionId": "00a14f9db76a6bd5c3228364b7a749fc339ba48576e2c92ed6bcfc1eaf99e68f",
"blockId": "090a9a8353ebdb5c1ff34b3728839d99d26e3477d041e6eec8b4221c0995414d",
"value": 1000000,
"index": 0,
"globalIndex": 39208465,
"creationHeight": 1243133,
"settlementHeight": 1243135,
"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(9,7,125,68,-105,51,108,7,79,113,34,107,126,78,64,3,27,-47,72,-95,43,-24,-122,-110,-40,28,43,-35,-42,27,82,-18)\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": "f1a677691f441b3baee45e043709bffe62a22e8b4e8646a5d2a79e0bd00c09aa",
"index": 0,
"amount": 1,
"name": "Walrus DAO Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "59ee24951ce668f0ed32bdb2e2e5731b6c36128748a3b23c28407c5f8ccbf0f6",
"index": 1,
"amount": 7001,
"name": "WALRUS",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107f48ac2c9d963b06d0c0e807d0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1712829514426,7000,6,7,8000,0,0]"
},
"R6": {
"serializedValue": "1d05020000020000020000020000020000",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0],[0,0],[0,0],[0,0],[0,0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402ae46aafa896e236b3e7a0f82471b2aa1ec334d3ec7f2682a271098297d09dc6c03072000a42e6db3296a79f69112b986f3e98fcb2bf1c3bee1a2307c646f14cb61a8895a03072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "a7d11228dab92746aad04c2bcf5e8718989b90e574019e35ea10595aa1523c1a",
"mainChain": true
},
{
"boxId": "a6a9a1fc75366f674f8120d7080eddc2a05bca6469190e9a467b4855f065276e",
"transactionId": "00a14f9db76a6bd5c3228364b7a749fc339ba48576e2c92ed6bcfc1eaf99e68f",
"blockId": "090a9a8353ebdb5c1ff34b3728839d99d26e3477d041e6eec8b4221c0995414d",
"value": 1000000,
"index": 1,
"globalIndex": 39208466,
"creationHeight": 1243133,
"settlementHeight": 1243135,
"ergoTree": "1040040404000e2009820fcb8871fb450c3e06b7cb5e27b0455087a366621a9dde7582a019111e3e0e20efc4f603dea6041286a89f5bd516ac96ea5b25da4f08d76c6927e01d61b22adf0e203daa66808e69c25ae932dd66611c5f0b3cbacad1125203e87d8dc491861c71e604020406040004000400040004000400041004100402040004100500050204100420050004000410041004020410050004000410041004020410050004000404040c044c04000402044204060400040004020400040004020402040404040406040604080408040a040a04000402040c044c04000e2009077d4497336c074f71226b7e4e40031bd148a12be88692d81c2bddd61b52eed81dd601b2a4730000d602b2db6501fe730100d603dc640be4c6720204640283030e730273037304e4e3000ed604b2a5730500d605b2a4730600d6068cb2db6308720573070001d607b2a5730800d608b2a4730900d609db63087208d60ae4c67207040c64d60be4c67208040c64d60cb2720b730a00d60de4dc640a720c027206e4e3020ed60eb37aa2b2e4c672010511730b007cb4720d730c730db4720d730eb1720dd60fb2720b730f00d610dc640a720f027206e4e3040ed611e67210d612dc640ae4c672010664027206e4e3010ed613e67212d6149572117cb4e47210731073117312d61595721372149a72147313d6169572117cb4e47210731473157316d617e4c67205050ed618b0adb4db0c0e721773179db172177318d90118047cb472179c721873199c9a7218731a731b731cd90118599a8c7218018c721802d619957213d801d619e472129a997216b0adb4db0c0e7219731d9db17219731ed9011a047cb472199c721a731f9c9a721a732073217322d9011a599a8c721a018c721a0272189a72167218d61ab37a72157a7219d61be4e3050ed61ce4c672070511d61de4c672080511d196830801938cb2db6308720173230001b4e4b27203732400732573269683020193cbc27204b4e4b272037327007328732992c17204c1a7938cb2db6308b2a5732a00732b0001720696830d0193c17207c1720893db63087207720993db6401b2720a732c00db6401e4dc640d720c0283013c0e0e86027206720ee4e3030e93db6401b2720a732d00db6401957211e4dc640d720f0283013c0e0e86027206721a721be4dc640c720f0283013c0e0e86027206721a721b93b2721c732e00b2721d732f0093b2721c733000b2721d73310093b2721c733200b2721d73330093b2721c733400999ab2721d7335007215721493b2721c733600999ab2721d7337007219721693b4721c7338b1721cb4721d7339b1721d93e4c67207061de4c67208061d93e4c67207070c3c6464e4c67208070c3c646493e4c672070811e4c672080811938cb27209733a0001b4e4b27203733b00733c733d938cb2db63087202733e0001733f93e4e3060e720e93e4e3070e721a",
"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(9,7,125,68,-105,51,108,7,79,113,34,107,126,78,64,3,27,-47,72,-95,43,-24,-122,-110,-40,28,43,-35,-42,27,82,-18)",
"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": "a7d11228dab92746aad04c2bcf5e8718989b90e574019e35ea10595aa1523c1a",
"mainChain": true
},
{
"boxId": "0f906f69a054b33493e67f086b5fe0bba9aa777c26cf8f2019665c354345ddbc",
"transactionId": "00a14f9db76a6bd5c3228364b7a749fc339ba48576e2c92ed6bcfc1eaf99e68f",
"blockId": "090a9a8353ebdb5c1ff34b3728839d99d26e3477d041e6eec8b4221c0995414d",
"value": 4000000,
"index": 2,
"globalIndex": 39208467,
"creationHeight": 1243133,
"settlementHeight": 1243135,
"ergoTree": "104b04000e20f6ff8b7210015545d4b3ac5fc60c908092d035a1a16155c029e8d511627c7a2c0e20af785b0add805c5c31f1cc3a3e96c89008fd7127320107a3784b7f49e95648420e20efc4f603dea6041286a89f5bd516ac96ea5b25da4f08d76c6927e01d61b22adf0404040c044c04040402040004000e2009077d4497336c074f71226b7e4e40031bd148a12be88692d81c2bddd61b52ee040104000402040104020404040004020e20f5918eb4b0283c669bdd8a195640766c19e40a693a6697b775b08e09052523d40e20767caa80b98e496ad8a9f689c4410ae453327f0f95e95084c0ae206350793b770400040004000e2000ff963212ba003aeba715c067e92ef299c55f35aed7b6aef4c975ae81a5d3f9040005809bee0204000400040004000402040204000402041205d00f04020402041205d00f04030402040204420580897a0e200040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983040204000402041204000406040004000410041004020410050004040402040404000410042004000400041004100402041005000400d80ed601db6501fed602b27201730000d603e4c6a70410d604dc640be4c6720204640283030e730173027303e4e3000ed605b4e4b2720473040073057306d606e4c6a70511d607b472067307b17206d608e3044005d609e47208d60a8c720901d60b8c720902d60ce4c6a70664d60db27206730800d60eb27206730900d196830201938cb2db63087202730a0001730b95ed93dc0c1aa402a7730c730d93b27203730e00730fd80ad60fb27201731000d610b27201731100d611b2a5731200d612db6308a7d613e4c672110410d6147208d6157209d616b2a5731300d617dc640be4c6721004640283020e73147315e4e3010ed618b2db6308721673160096830601938cb2db6308720f731700017205938cb2db63087210731800017319ededafdb0c0e7207d901190495937219720a93b27207721900720b90b27207721900720b91b17207720a92720a731a9683070193c27211c2a792c1721199c1a7731b93b2db63087211731c00b27212731d0093b27213731e00b27203731f0093e4c672110511720693e4c672110664720c93b2721373200095ed91720d9d9cb2e4c6720f05117321007cb4e4b27204732200732373247325d801d619720b9172199d9c720d7cb4e4b27204732600732773287329720a732a91db6903db6503fe720e9683040193cbc27216b4e4b27217732b00732c732d92c17216732e938c721801732f928c721802a18cb27212733000027cb4e4b2721773310073327333d80dd60fb2a4733400d610b2a4733500d6118cb2db6308721073360001d612e4c67210050ed613adb4db0c0e721273379db172127338d90113047cb472129c721373399c9a7213733a733bd614b07213733cd90114599a8c7214018c721402d615b2a5733d00d616e4c672150511d617dc640a720c027211e4e3010ed618e67217d619b27216733e00d61ab47216733fb17216d61be4e3020e96830a01927cb4e4dc640ab2e4c6720f040c64734000027211e4e3030e73417342721493c27215c2a792c17215c1a793db63087215db6308a793e4c672150410720393b27216734300720e957218d802d61ce47217d61dadb4db0c0e721c73449db1721c7345d9011d047cb4721c9c721d73469c9a721d73477348968302019372199a99720db0721d7349d9011e599a8c721e018c721e02721493721aaddc0c1d720701addc0c1d721d017213d9011e59998c721e028c721e01d9011e599a8c721e018c721e02968302019372199a720d721493721aaddc0c1d7207017213d9011c599a8c721c018c721c0293db6401e4c672150664db6401957218e4dc640d720c0283013c0e0e860272117212721be4dc640c720c0283013c0e0e860272117212721b938cb2db6308720f734a000172059472167206",
"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(9,7,125,68,-105,51,108,7,79,113,34,107,126,78,64,3,27,-47,72,-95,43,-24,-122,-110,-40,28,43,-35,-42,27,82,-18)\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": "4a9869117536fa26da509e2f825de0e926ca0b07141a7c756c656d67437cbb4a",
"index": 0,
"amount": 1,
"name": "Walrus DAO Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020401",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,-1]"
},
"R5": {
"serializedValue": "1104a8d7e589df63d00f00d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1713568003540,1000,0,1000]"
},
"R6": {
"serializedValue": "64eb09e67072021fd460dc3eb28673c03f1a3625812e3e3a57504a6a20a8e61f7601072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e185570646174652044414f20436f6e66696775726174696f6e",
"sigmaType": "Coll[SByte]",
"renderedValue": "5570646174652044414f20436f6e66696775726174696f6e"
}
},
"spentTransactionId": "a7d11228dab92746aad04c2bcf5e8718989b90e574019e35ea10595aa1523c1a",
"mainChain": true
},
{
"boxId": "7644a188759a2ff596ab1616081cbd5f417a99b6aa24a9a84299962e9b8ba872",
"transactionId": "00a14f9db76a6bd5c3228364b7a749fc339ba48576e2c92ed6bcfc1eaf99e68f",
"blockId": "090a9a8353ebdb5c1ff34b3728839d99d26e3477d041e6eec8b4221c0995414d",
"value": 1000000,
"index": 3,
"globalIndex": 39208468,
"creationHeight": 1243133,
"settlementHeight": 1243135,
"ergoTree": "0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b775aa,5105d7,...)))}",
"address": "9hrbvQghJYNy3XCqFdK6Ci3To4NcrbULt8cgQziBozHadZ1RgPx",
"assets": [
{
"tokenId": "d0e9f75d8091a539076850805d90c4a5db4ede4d412b378b3da69b99bd2837d2",
"index": 0,
"amount": 1,
"name": "Walrus DAO Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "33d1bac37b45be158fe517ee55b2d1f1f0003b815fe2be669b0ed03db919fdba",
"mainChain": true
},
{
"boxId": "1f05390d50325720210fe3ef62948745b153f16a8aedbbf2f2c50a4c45ad77a7",
"transactionId": "00a14f9db76a6bd5c3228364b7a749fc339ba48576e2c92ed6bcfc1eaf99e68f",
"blockId": "090a9a8353ebdb5c1ff34b3728839d99d26e3477d041e6eec8b4221c0995414d",
"value": 1960040,
"index": 4,
"globalIndex": 39208469,
"creationHeight": 1243133,
"settlementHeight": 1243135,
"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": "b16b8798795d8ef61b7bb97bf2db76a884d5d19c4c9065715ffd04212db3945a",
"mainChain": true
},
{
"boxId": "e48d6f8e4f55b5e34c65979211c0d52ce7945736d70d57711ed6c86e3d2d458f",
"transactionId": "00a14f9db76a6bd5c3228364b7a749fc339ba48576e2c92ed6bcfc1eaf99e68f",
"blockId": "090a9a8353ebdb5c1ff34b3728839d99d26e3477d041e6eec8b4221c0995414d",
"value": 39960,
"index": 5,
"globalIndex": 39208470,
"creationHeight": 1243133,
"settlementHeight": 1243135,
"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": "ba6b584a2be9fcb0b646ef458cb50fe51aa81002d5d9a4dbfb54cc286fad7b4f",
"mainChain": true
}
],
"size": 8288,
"isUnconfirmed": false
}