Transaction
ID: 982f01159d...c502
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0010746 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.67730828 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0010746 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.67620828 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 56,017
Total coins transferred: 0.67838288 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000237 ERG
Raw Transaction Data
{
"id": "982f01159d53dacb5a7a9693d77f8a9c3d9212bb7b5a40047c4781d36f17c502",
"blockId": "4d693990174da5d5855a8d4ca57f1c8c37d93a9a0ce60852fb27be38a3545893",
"inclusionHeight": 1711981,
"timestamp": 1769886511753,
"index": 17,
"globalIndex": 10232375,
"numConfirmations": 56017,
"inputs": [
{
"boxId": "05ff96792c36ba97ba1a352d59b54c8863581e1e19168c07e72497818edc2ff6",
"value": 1074600,
"index": 0,
"spendingProof": null,
"outputBlockId": "20ba47568f3b9e83af9a268fe925e47997678c3c928cd971ced135373be1dbe0",
"outputTransactionId": "620fa8a79be12ab89196f29841699b6e28f16382b1e7773b0c72986c3d8af1e7",
"outputIndex": 0,
"outputGlobalIndex": 53284655,
"outputCreatedAt": 1711211,
"outputSettledAt": 1711212,
"ergoTree": "19e1116c040e0e2093f275c152f3a33204afe788c8451e5547c03d608fca5d8aca5cf18b013bbea40400040404000e207aa2b5db8610eebce9236e15c96dd154a5717341600462a5b1db7202b71ed32604000400050204020500040805010100010104020406040a040c04000e203a94621862f67454cbdd613ed3a64482b9dfe3093c6182356ba4f4a14411f79504000e20f6819e0b7cf99c8c7872b62f4985b8d900c6150925d01eb279787517a848b6d80e20a6819e0b7cf99c8c7872b62f4985b8d900c6150925d01eb279787517a848b6d9010104000400040204000400040404020402040004020400040e050a0400040204000402040404060408040a0500040c050001000100010004020402040204020400050a0502051405010402040005010502050204000400040204000402040404060408040a040c040e04000400040204040404050a050a0406010001000100010001000101010004000e205d417ae7cc0ff10849450bf02191e6eb592d96c485ae8447c33c00f5ac94829e040204000400040204000402040404060408040a040c040e01000100d81ad601e4c6a70404d6027ea305d603e4c6a70811d604b27203730000d6058f72027204d6067301d6078cb2db6308a773020001d608e4c6a7063c0e0ed6098c720802d60adb6501fed60bb27203730300d60cb27203730400d60dd9010d63d801d60fb5720ad9010f63d801d611c6720f040eedede6721193e47211e4c6720d070e93cbc2720f73059591b1720f7306d802d6107e8cc7b0720fb2720f730700d901103c6363d802d6128c721002d6138c721001958f8cc77212018cc7721301721272130105d6119a720c7308958f7210721172117210720bd60ee4c6a7091ad60fb2720e730900d610d9011063b0b5db63087210d901124d0e938c721201720f730ad90112414d0e9a8c7212018c8c72120202d611b27203730b00d612e4c6a7050ed6138c720801d614d9011463b0e4c6721409118602730c730dd901164d4101d802d6188c721601d6198c721602958c72180272189593cbb3b3b3b3b3e4c67214070e72127a7219e4c67214080ee4c67214040e7213e4c67214050e86027219730e7218d615b27203730f00d616e4c6a7071ad617b27203731000d618b27203731100d619b27203731200d61ad9011a0195ed720591b1720a7313d805d61cb5720ad9011c63ededededed93cbc2721c731491b1db6308721c731593e4c6721c040e95721a7316731793e4c6721c050e720995721aede4c6721c0601efe4c6721c08017318ae7216d9011e0e93721e8cb2db6308721c73190001d61dad721cd9011d638cb2db6308721d731a0001d61eb1721cd61fb17216d620b5a5d901206393c27220c2a795ededafdb0c0e721dd9012104efaeb4721d9a7221731b721ed901230e937223b2721d72210092721e9593721f731c731d9a9d721f731e731f93b172207320d802d621b27220732100d622b5a4d9012263ed93cbc27222720693e4c67222050e720995ed938ce4c67221063c0e0e0283000293b172227322eded92da72100172219ada721001a7da721001b2722273230092b2e4c6722108117324009a72027325edededededededededededed938cb2db6308722173260001720793e4c6722104047201937201732793e4c67221050e721293e4c67221071a721693b2e4c672210811732800720c93b2e4c672210811732900721593b2e4c672210811732a00720b93b2e4c672210811732b00721793b2e4c672210811732c00721193b2e4c672210811732d009a721895721a7219732e93b2e4c672210811732f0095721a7330721993e4c67221091a720e733173327333ea02d19372017334eb02eb02eb02d195eded720591b1a4733591b1a57336d801d61bb5720ad9011b63eded93cbc2721b720693e4c6721b060e720794e4c6721b050e72099593b1721b7337d802d61cb2721b733800d61dda720d01721c95ededededed93cbc2721c720693e4c6721c060e72078f7e8cc7721c0105720b8f721d9999720b7339733a92da721001721c7211907eb1e4c6721c091105733bd802d61e8cda721401721c01d61f94721e733c95721fd802d620830002d621959372097220e4c6721c050ed801d621b5720ad9012163eded93cbc27221720693e4c67221050e720993e4c67221060e72079593b17221733dd803d622b27221733e00d623da7214017222d6248c72230195ed8c722302947224733fd803d6259c721e9a73409c721599720b721dd626da720d017222d6279c72249a73419c721599720b722695ec9172257227ed93722572278f721d7226e4c6721c050e72207220722095ed94722172209472217209d801d622b2a5734200edededededededededededededededededededed92da7210017222da721001a7938cb2db6308722273430001720793e4c6722204047201937201734493e4c67222050e7212938ce4c67222063c0e0e017213938ce4c67222063c0e0e02722193e4c67222071a721693b2e4c672220811734500720c93b2e4c672220811734600721593b2e4c672220811734700720b93b2e4c672220811734800721793b2e4c672220811734900721193b2e4c672220811734a00721893b2e4c672220811734b00721993b2e4c672220811734c00720493b2e4c67222091a734d00b2720e734e0093b2e4c67222091a734f00720fec93b2e4c67222091a735000b2720e7351008f9a99720473527353720293b1e4c67222091a7354721f73557356735773587359d1da721a01735ad1da721a01735b95ed927202720491b1a5735cd801d61bb5a5d9011b6393cbc2721b735d9593b1721b735ed801d61cb2721b735f00d1edededededededededededededededed938cb2db6308721c73600001720793e4c6721c04047201937201736193e4c6721c050e7212938ce4c6721c063c0e0e017213938ce4c6721c063c0e0e02720993e4c6721c071a721693b2e4c6721c0811736200720c93b2e4c6721c0811736300721593b2e4c6721c0811736400720b93b2e4c6721c0811736500721793b2e4c6721c0811736600721193b2e4c6721c0811736700721893b2e4c6721c0811736800721993b2e4c6721c0811736900720493e4c6721c091a720e92da721001721cda721001a7d1736ad1736b",
"ergoTreeConstants": "0: 7\n1: Coll(-109,-14,117,-63,82,-13,-93,50,4,-81,-25,-120,-56,69,30,85,71,-64,61,96,-113,-54,93,-118,-54,92,-15,-117,1,59,-66,-92)\n2: 0\n3: 2\n4: 0\n5: Coll(122,-94,-75,-37,-122,16,-18,-68,-23,35,110,21,-55,109,-47,84,-91,113,115,65,96,4,98,-91,-79,-37,114,2,-73,30,-45,38)\n6: 0\n7: 0\n8: 1\n9: 1\n10: 0\n11: 4\n12: -1\n13: false\n14: true\n15: 1\n16: 3\n17: 5\n18: 6\n19: 0\n20: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n21: 0\n22: Coll(-10,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-40)\n23: Coll(-90,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-39)\n24: true\n25: 0\n26: 0\n27: 1\n28: 0\n29: 0\n30: 2\n31: 1\n32: 1\n33: 0\n34: 1\n35: 0\n36: 7\n37: 5\n38: 0\n39: 1\n40: 0\n41: 1\n42: 2\n43: 3\n44: 4\n45: 5\n46: 0\n47: 6\n48: 0\n49: false\n50: false\n51: false\n52: 1\n53: 1\n54: 1\n55: 1\n56: 0\n57: 5\n58: 1\n59: 10\n60: -1\n61: 1\n62: 0\n63: -1\n64: 1\n65: 1\n66: 0\n67: 0\n68: 1\n69: 0\n70: 1\n71: 2\n72: 3\n73: 4\n74: 5\n75: 6\n76: 7\n77: 0\n78: 0\n79: 1\n80: 2\n81: 2\n82: 5\n83: 5\n84: 3\n85: false\n86: false\n87: false\n88: false\n89: false\n90: true\n91: false\n92: 0\n93: Coll(93,65,122,-25,-52,15,-15,8,73,69,11,-16,33,-111,-26,-21,89,45,-106,-60,-123,-82,-124,71,-61,60,0,-11,-84,-108,-126,-98)\n94: 1\n95: 0\n96: 0\n97: 1\n98: 0\n99: 1\n100: 2\n101: 3\n102: 4\n103: 5\n104: 6\n105: 7\n106: false\n107: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val bool5 = l2 < l4\n val coll6 = placeholder[Coll[Byte]](1)\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val tuple8 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n val coll9 = tuple8._2\n val coll10 = CONTEXT.dataInputs\n val l11 = coll3(placeholder[Int](3))\n val l12 = coll3(placeholder[Int](4))\n val func13 = {(box13: Box) =>\n val coll15 = coll10.filter({(box15: Box) =>\n val opt17 = box15.R4[Coll[Byte]]\n (opt17.isDefined && (opt17.get == box13.R7[Coll[Byte]].get)) && (blake2b256(box15.propositionBytes) == placeholder[Coll[Byte]](5))\n })\n if (coll15.size > placeholder[Int](6)) {(\n val l16 = coll15.fold(coll15(placeholder[Int](7)), {(tuple16: (Box, Box)) =>\n val box18 = tuple16._2\n val box19 = tuple16._1\n if (box18.creationInfo._1 < box19.creationInfo._1) { box18 } else { box19 }\n }).creationInfo._1.toLong\n val l17 = l12 + placeholder[Long](8)\n if (l16 < l17) { l17 } else { l16 }\n )} else { l11 }\n }\n val coll14 = SELF.R9[Coll[Coll[Byte]]].get\n val coll15 = coll14(placeholder[Int](9))\n val func16 = {(box16: Box) =>\n box16.tokens.filter({(tuple18: (Coll[Byte], Long)) => tuple18._1 == coll15 }).fold(\n placeholder[Long](10), {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 + tuple18._2._2 }\n )\n }\n val l17 = coll3(placeholder[Int](11))\n val coll18 = SELF.R5[Coll[Byte]].get\n val coll19 = tuple8._1\n val func20 = {(box20: Box) => box20.R9[Coll[Long]].get.fold((placeholder[Long](12), placeholder[Boolean](13)), {(tuple22: ((Long, Boolean), Long)) =>\n val tuple24 = tuple22._1\n val l25 = tuple22._2\n if (tuple24._2) { tuple24 } else { if (blake2b256(box20.R7[Coll[Byte]].get.append(coll18).append(longToByteArray(l25)).append(box20.R8[Coll[Byte]].get).append(box20.R4[Coll[Byte]].get).append(coll19)) == box20.R5[Coll[Byte]].get) { (l25, placeholder[Boolean](14)) } else { tuple24 } }\n }) }\n val l21 = coll3(placeholder[Int](15))\n val coll22 = SELF.R7[Coll[Coll[Byte]]].get\n val l23 = coll3(placeholder[Int](16))\n val l24 = coll3(placeholder[Int](17))\n val l25 = coll3(placeholder[Int](18))\n val func26 = {(bool26: Boolean) => if (bool5 && (coll10.size > placeholder[Int](19))) {(\n val coll28 = coll10.filter({(box28: Box) => (((((blake2b256(box28.propositionBytes) == placeholder[Coll[Byte]](20)) && (box28.tokens.size > placeholder[Int](21))) && (box28.R4[Coll[Byte]].get == if (bool26) { placeholder[Coll[Byte]](22) } else { placeholder[Coll[Byte]](23) })) && (box28.R5[Coll[Byte]].get == coll9)) && if (bool26) { box28.R6[Boolean].get && (!box28.R8[Boolean].get) } else { placeholder[Boolean](24) }) && coll22.exists({(coll30: Coll[Byte]) => coll30 == box28.tokens(placeholder[Int](25))._1 }) })\n val coll29 = coll28.map({(box29: Box) => box29.tokens(placeholder[Int](26))._1 })\n val i30 = coll28.size\n val i31 = coll22.size\n val coll32 = OUTPUTS.filter({(box32: Box) => box32.propositionBytes == SELF.propositionBytes })\n if ((coll29.indices.forall({(i33: Int) => !coll29.slice(i33 + placeholder[Int](27), i30).exists({(coll35: Coll[Byte]) => coll35 == coll29(i33) }) }) && (i30 >= if (i31 == placeholder[Int](28)) { placeholder[Int](29) } else { i31 / placeholder[Int](30) + placeholder[Int](31) })) && (coll32.size == placeholder[Int](32))) {(\n val box33 = coll32(placeholder[Int](33))\n val coll34 = INPUTS.filter({(box34: Box) => (blake2b256(box34.propositionBytes) == coll6) && (box34.R5[Coll[Byte]].get == coll9) })\n if ((box33.R6[(Coll[Byte], Coll[Byte])].get._2 == Coll[Byte]()) && (coll34.size == placeholder[Int](34))) { ((func16(box33) >= func16(SELF) + func16(coll34(placeholder[Int](35)))) && (box33.R8[Coll[Long]].get(placeholder[Int](36)) >= l2 + placeholder[Long](37))) && (((((((((((((box33.tokens(placeholder[Int](38))._1 == coll7) && (box33.R4[Int].get == i1)) && (i1 == placeholder[Int](39))) && (box33.R5[Coll[Byte]].get == coll18)) && (box33.R7[Coll[Coll[Byte]]].get == coll22)) && (box33.R8[Coll[Long]].get(placeholder[Int](40)) == l12)) && (box33.R8[Coll[Long]].get(placeholder[Int](41)) == l21)) && (box33.R8[Coll[Long]].get(placeholder[Int](42)) == l11)) && (box33.R8[Coll[Long]].get(placeholder[Int](43)) == l23)) && (box33.R8[Coll[Long]].get(placeholder[Int](44)) == l17)) && (box33.R8[Coll[Long]].get(placeholder[Int](45)) == l24 + if (bool26) { l25 } else { placeholder[Long](46) })) && (box33.R8[Coll[Long]].get(placeholder[Int](47)) == if (bool26) { placeholder[Long](48) } else { l25 })) && (box33.R9[Coll[Coll[Byte]]].get == coll14)) } else { placeholder[Boolean](49) }\n )} else { placeholder[Boolean](50) }\n )} else { placeholder[Boolean](51) } }\n sigmaProp(i1 == placeholder[Int](52)) && sigmaProp(if ((bool5 && (INPUTS.size > placeholder[Int](53))) && (OUTPUTS.size > placeholder[Int](54))) {(\n val coll27 = coll10.filter({(box27: Box) => ((blake2b256(box27.propositionBytes) == coll6) && (box27.R6[Coll[Byte]].get == coll7)) && (box27.R5[Coll[Byte]].get != coll9) })\n if (coll27.size == placeholder[Int](55)) {(\n val box28 = coll27(placeholder[Int](56))\n val l29 = func13(box28)\n if ((((((blake2b256(box28.propositionBytes) == coll6) && (box28.R6[Coll[Byte]].get == coll7)) && (box28.creationInfo._1.toLong < l11)) && (l29 < l11 - placeholder[Long](57) - placeholder[Long](58))) && (func16(box28) >= l17)) && (box28.R9[Coll[Long]].get.size.toLong <= placeholder[Long](59))) {(\n val l30 = func20(box28)._1\n val bool31 = l30 != placeholder[Long](60)\n if (bool31) {(\n val coll32 = Coll[Byte]()\n val coll33 = if (coll9 == coll32) { box28.R5[Coll[Byte]].get } else {(\n val coll33 = coll10.filter({(box33: Box) => ((blake2b256(box33.propositionBytes) == coll6) && (box33.R5[Coll[Byte]].get == coll9)) && (box33.R6[Coll[Byte]].get == coll7) })\n if (coll33.size == placeholder[Int](61)) {(\n val box34 = coll33(placeholder[Int](62))\n val tuple35 = func20(box34)\n val l36 = tuple35._1\n if (tuple35._2 && (l36 != placeholder[Long](63))) {(\n val l37 = l30 * placeholder[Long](64) + l21 * l11 - l29\n val l38 = func13(box34)\n val l39 = l36 * placeholder[Long](65) + l21 * l11 - l38\n if ((l37 > l39) || ((l37 == l39) && (l29 < l38))) { box28.R5[Coll[Byte]].get } else { coll32 }\n )} else { coll32 }\n )} else { coll32 }\n )}\n if ((coll33 != coll32) && (coll33 != coll9)) {(\n val box34 = OUTPUTS(placeholder[Int](66))\n ((((((((((((((((((((func16(box34) >= func16(SELF)) && (box34.tokens(placeholder[Int](67))._1 == coll7)) && (box34.R4[Int].get == i1)) && (i1 == placeholder[Int](68))) && (box34.R5[Coll[Byte]].get == coll18)) && (box34.R6[(Coll[Byte], Coll[Byte])].get._1 == coll19)) && (box34.R6[(Coll[Byte], Coll[Byte])].get._2 == coll33)) && (box34.R7[Coll[Coll[Byte]]].get == coll22)) && (box34.R8[Coll[Long]].get(placeholder[Int](69)) == l12)) && (box34.R8[Coll[Long]].get(placeholder[Int](70)) == l21)) && (box34.R8[Coll[Long]].get(placeholder[Int](71)) == l11)) && (box34.R8[Coll[Long]].get(placeholder[Int](72)) == l23)) && (box34.R8[Coll[Long]].get(placeholder[Int](73)) == l17)) && (box34.R8[Coll[Long]].get(placeholder[Int](74)) == l24)) && (box34.R8[Coll[Long]].get(placeholder[Int](75)) == l25)) && (box34.R8[Coll[Long]].get(placeholder[Int](76)) == l4)) && (box34.R9[Coll[Coll[Byte]]].get(placeholder[Int](77)) == coll14(placeholder[Int](78)))) && (box34.R9[Coll[Coll[Byte]]].get(placeholder[Int](79)) == coll15)) && ((box34.R9[Coll[Coll[Byte]]].get(placeholder[Int](80)) == coll14(placeholder[Int](81))) || (l4 - placeholder[Long](82) + placeholder[Long](83) < l2))) && (box34.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](84))) && bool31\n )} else { placeholder[Boolean](85) }\n )} else { placeholder[Boolean](86) }\n )} else { placeholder[Boolean](87) }\n )} else { placeholder[Boolean](88) }\n )} else { placeholder[Boolean](89) }) || sigmaProp(func26(placeholder[Boolean](90))) || sigmaProp(func26(placeholder[Boolean](91))) || if ((l2 >= l4) && (\n OUTPUTS.size > placeholder[Int](92)\n )) {(\n val coll27 = OUTPUTS.filter({(box27: Box) => blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](93) })\n if (coll27.size == placeholder[Int](94)) {(\n val box28 = coll27(placeholder[Int](95))\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((box28.tokens(placeholder[Int](96))._1 == coll7) && (box28.R4[Int].get == i1)) && (i1 == placeholder[Int](97))) && (\n box28.R5[Coll[Byte]].get == coll18\n )\n ) && (box28.R6[(Coll[Byte], Coll[Byte])].get._1 == coll19)\n ) && (box28.R6[(Coll[Byte], Coll[Byte])].get._2 == coll9)\n ) && (box28.R7[Coll[Coll[Byte]]].get == coll22)\n ) && (box28.R8[Coll[Long]].get(placeholder[Int](98)) == l12)\n ) && (box28.R8[Coll[Long]].get(placeholder[Int](99)) == l21)\n ) && (box28.R8[Coll[Long]].get(placeholder[Int](100)) == l11)\n ) && (box28.R8[Coll[Long]].get(placeholder[Int](101)) == l23)\n ) && (box28.R8[Coll[Long]].get(placeholder[Int](102)) == l17)\n ) && (box28.R8[Coll[Long]].get(placeholder[Int](103)) == l24)\n ) && (box28.R8[Coll[Long]].get(placeholder[Int](104)) == l25)\n ) && (box28.R8[Coll[Long]].get(placeholder[Int](105)) == l4)\n ) && (box28.R9[Coll[Coll[Byte]]].get == coll14)\n ) && (func16(box28) >= func16(SELF))\n )\n )} else { sigmaProp(placeholder[Boolean](106)) }\n )} else { sigmaProp(placeholder[Boolean](107)) }\n}",
"address": "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",
"assets": [
{
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"index": 0,
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"name": "Test V1",
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"type": "EIP-004"
},
{
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}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "424adf67f4146dc4a9f5704824c15ed40e50a49f7353c1811773c4ad9de07d6f"
},
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"renderedValue": "[35aa11186c18d3e04f81656248213a1a3c43e89a67045763287e644db60c3f21,42a14b79ce52d511d447cb7f12d574deb099136a6099ae10ceda1297445ad1cf]"
},
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1711172,0,1711198,1000,100,10000,200000,1711226]"
},
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"sigmaType": "Coll[Coll[SByte]]",
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},
"R4": {
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}
}
},
{
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"outputGlobalIndex": 53284791,
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"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
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{
"tokenId": "70d0e8e56699ca4c61488f421d9eda77e77e180b7ec94115a2b325f36d5984d7",
"index": 37,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "469632d31f1762c604fb5605f17a6a3acea25dc0c0acd9ed9c99a9657a39ef13",
"index": 38,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 39,
"amount": 61046,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 40,
"amount": 4003,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 41,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "2293d454406cc0f3b6a7c63db90fc989b4065204d4b101f8fe155d1d65c283ff",
"index": 42,
"amount": 10000,
"name": "TEST FULL WITHDRAW V3 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "950e6f63aab88d72048da7d561efcb1bad568bc7a82fe3cc26ea729619cc3d9f",
"index": 43,
"amount": 7000,
"name": "Test project for 1.2 V1 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
"index": 44,
"amount": 1,
"name": "🚬",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ef0199cb118810aa3b35b5b071d2f417bdc6c27e985bbd425a1f04d31a12a59b",
"index": 45,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "44f3f0b7ebb5369965908aaa586ed811f62c1688e6ae375b7af523cba0027ea6",
"index": 46,
"amount": 37,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "357d59abf7fbfb46fa73faa4f0898475b24713e2fc8311dab37d5b87dfb72392",
"index": 47,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "6236c29eb679e644342f6c606b0fc44ab1adfc782ad0f66bf57ef3002d96e236",
"index": 48,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "3c7b0b07c1f6be6f21c617db4ad45499ecd7283fe4de08dec3a7117a4663ebe0",
"index": 49,
"amount": 95000,
"name": "BeneSpace",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "3a37bdc6364544fc926fc3d914a4e25c91cf5bb2b9c754bc7f0f6184595b9025",
"index": 50,
"amount": 9999900,
"name": "fakeBTC",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "192a3b6a3f0fec229017d5d7caf3ca484f6f254ad857f7feffea2e82b9367eb5",
"index": 51,
"amount": 52301,
"name": "FALCON",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "687fd56baf59225ef3e5dbd8bd2ba240081ba1b0fd320322f434551d0a509249",
"index": 52,
"amount": 23398,
"name": "FALCON Test Project APT",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "322a090ccd17f3f94ff8294410bdebec87723a3a50774113219009d2ac8eadbc",
"index": 53,
"amount": 100,
"name": "TEST TIMESTAMP 17:05 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "36baf7010ff975982f745494d3f441527c9c4b1f26b1729386cf6c3e058a6195",
"index": 54,
"amount": 1,
"name": "TEST V2 APT",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "2fc7eebea2592f7b04c59338dea6bd1a8adb6fe11e20d00d5a024cb9b3764ba2",
"transactionId": "982f01159d53dacb5a7a9693d77f8a9c3d9212bb7b5a40047c4781d36f17c502",
"blockId": "4d693990174da5d5855a8d4ca57f1c8c37d93a9a0ce60852fb27be38a3545893",
"value": 1074600,
"index": 0,
"globalIndex": 53308718,
"creationHeight": 1711979,
"settlementHeight": 1711981,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(-109,-14,117,-63,82,-13,-93,50,4,-81,-25,-120,-56,69,30,85,71,-64,61,96,-113,-54,93,-118,-54,92,-15,-117,1,59,-66,-92)\n1: 0\n2: Coll(-22,19,126,-6,-113,-113,37,73,-27,20,-112,-55,40,126,36,-98,-13,-27,36,-48,-13,-100,48,32,76,92,-46,55,55,11,32,127)\n3: 1\n4: 0\n5: 0\n6: 4\n7: 3\n8: 0\n9: 5\n10: 1000000\n11: 50000\n12: 1000000\n13: 2\n14: Coll(0,8,-51,2,90,-56,-85,24,63,-3,-29,96,104,96,49,32,-80,10,-51,-15,65,-71,31,-28,-32,-64,-58,-43,98,-75,-14,78,30,44,-62,-47)\n15: 0\n16: 0\n17: 0\n18: true\n19: 0\n20: Coll(25,-72,3,14,5,0,5,0,4,0,14,32,58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107,4,0,4,0,4,0,4,2,1,0,5,0,5,0,4,0,4,2,1,1,-40,4,-42,1,-39,1,1,99,-80,-75,-37,99,8,114,1,-39,1,3,77,14,-109,-116,114,3,1,-28,-58,-89,5,14,115,0,-39,1,3,65)\n21: 1\n22: 0\n23: false\n24: true\n25: Coll(0,8,-51)\n26: 3\n27: 0\n28: 3\n29: false\n30: 3\n31: 7\n32: 5\n33: 0\n34: 0\n35: 3\n36: 0\n37: 3\n38: false\n39: 3\n40: false\n41: 1\n42: 1\n43: 0\n44: -1\n45: false\n46: true\n47: 2\n48: 10\n49: 6\n50: 1000000\n51: 0\n52: 0\n53: 0\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 0\n60: true\n61: 0\n62: 0\n63: true\n64: false\n65: false\n66: 0\n67: 0\n68: 0\n69: 0",
"ergoTreeScript": "{\n val tuple1 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n val coll2 = tuple1._2\n val bool3 = coll2 != Coll[Byte]()\n val coll4 = placeholder[Coll[Byte]](0)\n val coll5 = SELF.tokens(placeholder[Int](1))._1\n val coll6 = INPUTS.filter({(box6: Box) =>\n val coll8 = blake2b256(box6.propositionBytes)\n ((coll8 == coll4) || (coll8 == placeholder[Coll[Byte]](2))) && (box6.R6[Coll[Byte]].get == coll5)\n })\n val coll7 = SELF.R9[Coll[Coll[Byte]]].get\n val coll8 = coll7(placeholder[Int](3))\n val func9 = {(box9: Box) =>\n if (coll8.size == placeholder[Int](4)) { box9.value } else {\n box9.tokens.filter({(tuple11: (Coll[Byte], Long)) => tuple11._1 == coll8 }).fold(\n placeholder[Long](5), {(tuple11: (Long, (Coll[Byte], Long))) => tuple11._1 + tuple11._2._2 }\n )\n }\n }\n val coll10 = SELF.R8[Coll[Long]].get\n val l11 = coll10(placeholder[Int](6))\n val l12 = coll10(placeholder[Int](7))\n val l13 = coll6.fold(placeholder[Long](8), {(tuple13: (Long, Box)) => tuple13._1 + func9(tuple13._2) }) + func9(SELF) - l12\n val coll14 = SELF.R7[Coll[Coll[Byte]]].get\n val l15 = l13 * coll10(placeholder[Int](9)) / placeholder[Long](10) * coll14.size.toLong\n val l16 = l13 * placeholder[Long](11) / placeholder[Long](12)\n val coll17 = coll7(placeholder[Int](13))\n val coll18 = placeholder[Coll[Byte]](14)\n val bool19 = if (l16 > placeholder[Long](15)) {\n OUTPUTS.filter({(box19: Box) => box19.propositionBytes == coll18 }).fold(\n placeholder[Long](16), {(tuple19: (Long, Box)) => tuple19._1 + func9(tuple19._2) }\n ) - INPUTS.filter({(box19: Box) => box19.propositionBytes == coll18 }).fold(\n placeholder[Long](17), {(tuple19: (Long, Box)) => tuple19._1 + func9(tuple19._2) }\n ) >= l16\n } else { placeholder[Boolean](18) }\n val bool20 = if (l15 > placeholder[Long](19)) {(\n val coll20 = OUTPUTS.filter({(box20: Box) => box20.propositionBytes == placeholder[Coll[Byte]](20) })\n if (coll20.size == placeholder[Int](21)) {(\n val box21 = coll20(placeholder[Int](22))\n ((func9(box21) >= l15) && (box21.R4[Coll[Coll[Byte]]].get == coll14)) && (box21.R5[Coll[Byte]].get == coll8)\n )} else { placeholder[Boolean](23) }\n )} else { placeholder[Boolean](24) }\n val i21 = coll17.size\n val coll22 = placeholder[Coll[Byte]](25)\n val prop23 = if (if (i21 >= placeholder[Int](26)) { coll17.slice(placeholder[Int](27), placeholder[Int](28)) == coll22 } else { placeholder[Boolean](29) }) {\n proveDlog(decodePoint(coll17.slice(placeholder[Int](30), i21)))\n } else { sigmaProp(INPUTS.exists({(box23: Box) => box23.propositionBytes == coll17 })) }\n val coll24 = INPUTS.filter({(box24: Box) => (blake2b256(box24.propositionBytes) == coll4) && (box24.R5[Coll[Byte]].get == coll2) })\n val prop25 = if (bool3) {\n if (HEIGHT.toLong >= coll10(placeholder[Int](31)) + placeholder[Long](32)) { prop23 } else { if (coll24.size > placeholder[Int](33)) {(\n val coll25 = coll24(placeholder[Int](34)).R4[Coll[Byte]].get\n val i26 = coll25.size\n if (if (i26 >= placeholder[Int](35)) { coll25.slice(placeholder[Int](36), placeholder[Int](37)) == coll22 } else { placeholder[Boolean](38) }) { proveDlog(decodePoint(coll25.slice(placeholder[Int](39), i26))) } else { sigmaProp(INPUTS.exists({(box27: Box) => box27.propositionBytes == coll25 })) }\n )} else { sigmaProp(placeholder[Boolean](40)) } }\n } else { prop23 }\n sigmaProp(SELF.R4[Int].get == placeholder[Int](41)) && if (bool3) {(\n val coll26 = coll6.filter({(box26: Box) => box26.R5[Coll[Byte]].get == coll2 })\n if (coll26.size == placeholder[Int](42)) {(\n val box27 = coll26(placeholder[Int](43))\n if ((({(box28: Box) => box28.R9[Coll[Long]].get.fold((placeholder[Long](44), placeholder[Boolean](45)), {(tuple30: ((Long, Boolean), Long)) =>\n val tuple32 = tuple30._1\n val l33 = tuple30._2\n if (tuple32._2) { tuple32 } else { if (blake2b256(box28.R7[Coll[Byte]].get.append(SELF.R5[Coll[Byte]].get).append(longToByteArray(l33)).append(box28.R8[Coll[Byte]].get).append(box28.R4[Coll[Byte]].get).append(tuple1._1)) == box28.R5[Coll[Byte]].get) { (l33, placeholder[Boolean](46)) } else { tuple32 } }\n }) }(box27)._2 && (func9(box27) >= l11)) && (box27.creationInfo._1.toLong < coll10(placeholder[Int](47)))) && (\n box27.R9[Coll[Long]].get.size.toLong <= placeholder[Long](48)\n )) {(\n val coll28 = box27.R4[Coll[Byte]].get\n val l29 = l13 * coll10(placeholder[Int](49)) / placeholder[Long](50)\n val l30 = l13 - l29 - l15 - l16\n val bool31 = l30 < l11\n prop25 && sigmaProp(\n (\n (\n (\n (\n OUTPUTS.filter({(box32: Box) => box32.propositionBytes == coll28 }).fold(\n placeholder[Long](51), {(tuple32: (Long, Box)) => tuple32._1 + func9(tuple32._2) }\n ) - INPUTS.filter({(box32: Box) => box32.propositionBytes == coll28 }).fold(\n placeholder[Long](52), {(tuple32: (Long, Box)) => tuple32._1 + func9(tuple32._2) }\n ) >= if (bool31) { l13 } else { l30 }\n ) && OUTPUTS.exists(\n {(box32: Box) =>\n ((box32.propositionBytes == coll28) && (box32.tokens.size > placeholder[Int](53))) && (box32.tokens(placeholder[Int](54))._1 == coll5)\n }\n )\n ) && (\n OUTPUTS.filter({(box32: Box) => box32.propositionBytes == coll17 }).fold(\n placeholder[Long](55), {(tuple32: (Long, Box)) => tuple32._1 + func9(tuple32._2) }\n ) - INPUTS.filter({(box32: Box) => box32.propositionBytes == coll17 }).fold(\n placeholder[Long](56), {(tuple32: (Long, Box)) => tuple32._1 + func9(tuple32._2) }\n ) >= l12 + if (bool31) { placeholder[Long](57) } else { l29 }\n )\n ) && if (if (bool31) { placeholder[Long](58) } else { l16 } == placeholder[Long](59)) { placeholder[Boolean](60) } else { bool19 }\n ) && if (if (bool31) { placeholder[Long](61) } else { l15 } == placeholder[Long](62)) { placeholder[Boolean](63) } else { bool20 }\n )\n )} else { sigmaProp(placeholder[Boolean](64)) }\n )} else { sigmaProp(placeholder[Boolean](65)) }\n )} else {\n prop25 && sigmaProp(\n (\n (\n (\n OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll17 }).fold(\n placeholder[Long](66), {(tuple26: (Long, Box)) => tuple26._1 + func9(tuple26._2) }\n ) - INPUTS.filter({(box26: Box) => box26.propositionBytes == coll17 }).fold(\n placeholder[Long](67), {(tuple26: (Long, Box)) => tuple26._1 + func9(tuple26._2) }\n ) >= l13 + l12 - l16 - l15\n ) && OUTPUTS.exists(\n {(box26: Box) =>\n ((box26.propositionBytes == coll17) && (box26.tokens.size > placeholder[Int](68))) && (box26.tokens(placeholder[Int](69))._1 == coll5)\n }\n )\n ) && bool19\n ) && bool20\n )\n }\n}",
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"assets": [
{
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"index": 0,
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"name": "Test V1",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2000,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "424adf67f4146dc4a9f5704824c15ed40e50a49f7353c1811773c4ad9de07d6f"
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"R6": {
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"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[35aa11186c18d3e04f81656248213a1a3c43e89a67045763287e644db60c3f21,42a14b79ce52d511d447cb7f12d574deb099136a6099ae10ceda1297445ad1cf]"
},
"R8": {
"serializedValue": "110888f1d00100bcf1d001d00fc801a09c0180b518f4f1d001",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1711172,0,1711198,1000,100,10000,200000,1711226]"
},
"R7": {
"serializedValue": "1a0120758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9]"
},
"R9": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[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,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71,0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7]"
},
"R4": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
}
},
"spentTransactionId": "d23c6c0cfda7170b217d01954c0f00b8fe29c56608d83d989106aa622a468aaf",
"mainChain": true
},
{
"boxId": "e07357f4d20492f55492e0c3b6cdb9c07d829a70dfd835f380c92fbeaf04ba0a",
"transactionId": "982f01159d53dacb5a7a9693d77f8a9c3d9212bb7b5a40047c4781d36f17c502",
"blockId": "4d693990174da5d5855a8d4ca57f1c8c37d93a9a0ce60852fb27be38a3545893",
"value": 1100000,
"index": 1,
"globalIndex": 53308719,
"creationHeight": 1711979,
"settlementHeight": 1711981,
"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": "63ad14c34242e8f1237a25858545e540059bcafcaf5f2f74d89ea49ee89e0de1",
"mainChain": true
},
{
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"transactionId": "982f01159d53dacb5a7a9693d77f8a9c3d9212bb7b5a40047c4781d36f17c502",
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"value": 676208280,
"index": 2,
"globalIndex": 53308720,
"creationHeight": 1711979,
"settlementHeight": 1711981,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
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"index": 0,
"amount": 95717188,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
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"type": "EIP-004"
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"type": "EIP-004"
},
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},
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"type": "EIP-004"
},
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},
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"type": "EIP-004"
},
{
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},
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"type": "EIP-004"
},
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