Token
986d74f50be25bbfeaef0305a9631c16c2b21821cba8b1aecfb7df8f950f88aa
ID
986d74f50be25bbfeaef0305a9631c16c2b21821cba8b1aecfb7df8f950f88aa
Name
ErgoHack VIII Community Awards Proposal
Emission amount
9223372036854776000
Decimals
0
Description
ErgoHack VIII Community Awards Proposal
Type
EIP-004
Issuer Box
{ "boxId": "986d74f50be25bbfeaef0305a9631c16c2b21821cba8b1aecfb7df8f950f88aa", "transactionId": "b2aa476decfaa519bc67d4fecb970914ed1ffaeb03b0f6c36da8302a549cdb24", "blockId": "fe90e5561732581602ef4e8e1258f180549147029337ab596013e45d83a1f9fe", "value": 13000000, "index": 0, "globalIndex": 6266318, "creationHeight": 1284382, "settlementHeight": 1284384, "ergoTree": "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", "ergoTreeConstants": "0: 0\n1: 0\n2: 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)\n3: 0\n4: 1\n5: Coll(91,-28,71,-57,19,-110,-60,48,-80,18,96,72,38,-97,-102,120,-118,-13,85,39,117,95,-84,-23,-46,41,-3,-122,83,14,52,-11)\n6: Coll(-123,-126,49,25,-14,96,-57,-69,-17,91,10,69,78,-79,-26,67,-22,98,-63,27,-91,75,108,40,114,-14,68,-44,66,-3,57,127)\n7: 0\n8: Coll(37,-75,-102,116,0,-35,-76,-39,37,58,20,83,113,-73,-52,-114,-40,97,99,-40,-2,-87,44,-43,112,-116,-122,18,-13,-42,-109,-81)\n9: 0\n10: 5\n11: 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)\n12: Coll(32,80,114,111,112,111,115,97,108)\n13: 9223372036854775807\n14: Coll(-70,-86,-101,22,76,-76,-72,13,115,94,16,66,78,38,-92,113,-71,98,28,2,-17,-54,23,70,19,90,-61,-10,-37,16,20,16)\n15: Coll(32,65,99,116,105,111,110)\n16: 9223372036854775807\n17: 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)\n18: Coll(32,83,116,97,107,101,32,83,116,97,116,101)\n19: 1\n20: -1\n21: 0\n22: 1\n23: 1\n24: 33\n25: 48\n26: 0\n27: 1\n28: 33\n29: 10\n30: 0\n31: 0\n32: 0\n33: 0\n34: 32\n35: 2000000\n36: 1\n37: Coll(-46,74,-49,66,15,5,-112,35,-23,116,33,0,-123,30,-74,-83,-115,-104,118,19,-110,-75,-39,118,20,59,96,8,-109,23,106,7)\n38: 0\n39: 1\n40: 33", "ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val avlTree2 = box1.R4[AvlTree].get\n val coll3 = getVar[Coll[Byte]](1.toByte).get\n val avlTree4 = SELF.R4[AvlTree].get\n sigmaProp(allOf(Coll[Boolean](box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2), if (getVar[Byte](0.toByte).get == placeholder[Byte](3)) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = avlTree2.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6)), coll3)\n val tuple7 = box5.tokens(placeholder[Int](7))\n val coll8 = SELF.id\n val coll9 = getVar[Coll[Byte]](3.toByte).get\n val coll10 = avlTree4.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](8)), getVar[Coll[Byte]](2.toByte).get)(placeholder[Int](9)).get\n val coll11 = coll10.slice(placeholder[Int](10), coll10.size)\n val tuple12 = if (coll9 == placeholder[Coll[Byte]](11)) { (coll11.append(placeholder[Coll[Byte]](12)), placeholder[Long](13)) } else { if (coll9 == placeholder[Coll[Byte]](14)) { (coll11.append(placeholder[Coll[Byte]](15)), placeholder[Long](16)) } else { if (coll9 == placeholder[Coll[Byte]](17)) { (coll11.append(placeholder[Coll[Byte]](18)), placeholder[Long](19)) } else { (coll11, placeholder[Long](20)) } } }\n val coll13 = box5.R4[Coll[Byte]].get\n val box14 = OUTPUTS(placeholder[Int](21))\n allOf(Coll[Boolean](allOf(Coll[Boolean](blake2b256(box5.propositionBytes) == coll6(placeholder[Int](22)).get.slice(placeholder[Int](23), placeholder[Int](24)), tuple7._1 == coll8, tuple7._2 == tuple12._2, coll13 == tuple12._1, box5.R5[Coll[Byte]].get == coll13, box5.R6[Coll[Byte]].get == Coll[Byte](placeholder[Byte](25)))), allOf(Coll[Boolean](blake2b256(box14.propositionBytes) == coll6(placeholder[Int](26)).get.slice(placeholder[Int](27), placeholder[Int](28)), box14.tokens == SELF.tokens, box14.R4[AvlTree].get.digest == avlTree4.insert(Coll[(Coll[Byte], Coll[Byte])]((coll9, Coll[Byte](placeholder[Byte](29), placeholder[Byte](30), placeholder[Byte](31), placeholder[Byte](32), placeholder[Byte](33), placeholder[Byte](34)).append(coll8))), getVar[Coll[Byte]](4.toByte).get).get.digest, box14.value >= SELF.value - placeholder[Long](35), box14.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get))))\n )} else { blake2b256(INPUTS(placeholder[Int](36)).propositionBytes) == avlTree2.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](37)), coll3)(placeholder[Int](38)).get.slice(placeholder[Int](39), placeholder[Int](40)) })))\n}", "address": "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", "assets": [ { "tokenId": "00c3fd71f6ef5a03d125d11bd5fa5b738ef12dd3104491c243698a4486f139a6", "index": 0, "amount": 1, "name": "Paideia DAO", "decimals": 0, "type": "EIP-004" }, { "tokenId": "e2c53d59691aa67d52ac256b6ff72ec901553caf08a51a7053ef7c7df59af62a", "index": 1, "amount": 1, "name": "ErgoHack VIII DAO", "decimals": 0, "type": "EIP-004" } ], "additionalRegisters": { "R4": { "serializedValue": "643002a98b10f39a9f5cf7eacfd03892f0ab40b6aa1da9fbfd75c98ed1dc97478405072000", "sigmaType": null, "renderedValue": null }, "R5": { "serializedValue": "0e2013941309d2b82dd2b5744dceb3ea9b6510b6ad74c1c36ced2a3e72ca29e113d2", "sigmaType": "Coll[SByte]", "renderedValue": "13941309d2b82dd2b5744dceb3ea9b6510b6ad74c1c36ced2a3e72ca29e113d2" } }, "spentTransactionId": "d2e858872083aecc9c4ff72e7411a0754d4bba7ca5f6ab52877cabb1ce0c8844", "mainChain": true }