Transaction
ID: 569fbd4198...6171
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00192096 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.54896452 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Address:
Settlement height:
Value:
0.00292096 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.54786452 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 126,626
Total coins transferred: 0.55188548 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000287 ERG
Raw Transaction Data
{
"id": "569fbd4198bc45fac5ad2fed5da7be349751fabbec6d9cc1c3b0af700d9f6171",
"blockId": "7ea8869185f5a8582df6ec7161344de3b3641aea9444af98a2332bf91153afb5",
"inclusionHeight": 1637651,
"timestamp": 1760898441337,
"index": 14,
"globalIndex": 9652807,
"numConfirmations": 126626,
"inputs": [
{
"boxId": "7067dee276542779da0ec3144d08fb8d8d8f9670fe3a7a9a6f973c0383033dd5",
"value": 1920960,
"index": 0,
"spendingProof": null,
"outputBlockId": "8ae65dbb10b72549ada32ae967b38b8f111366fb81c3e176b9407f25ae6a8ac7",
"outputTransactionId": "74bcb14e6dab0dfc0be7942096cdfe931d66b1d05a3e084cd0e23693f736a791",
"outputIndex": 0,
"outputGlobalIndex": 50974690,
"outputCreatedAt": 1637644,
"outputSettledAt": 1637646,
"ergoTree": "19c3126804080e206e883e225cff8d8a14260b78367ce2bf2b7ec9472a2cd1461bae6158ee41d41d040004000404040204060e203a94621862f67454cbdd613ed3a64482b9dfe3093c6182356ba4f4a14411f7950e030008cd040204020402040204000400041405010100010105010402040001010501040204000400040204040406040801000100010001000100040004000e20f6819e0b7cf99c8c7872b62f4985b8d900c6150925d01eb279787517a848b6d80400040004020400040004040402040204000101040204000100010104140100040204000408053c04020100010001000400050005c8010580897a05000500050a05c8010580897a05000500050008cd021bf8470168c2c2328ed9ed79f002204626663087cde7bb8dcdaa7f0626a65568010105000400040001010400040004000406040601000400040604060402040001000101041405c8010580897a0402040001000100040204000100d814d601e4c6a70404d6027ea305d603e4c6a70711d604b27203730000d6058f72027204d6067301d6078cb2db6308a773020001d608e4c6a7053c0e0ed6098c720802d60ab27203730300d60bb27203730400d60c8c720801d60de4c6a7061ad60eb27203730500d60fb27203730600d610e4c6a7084d0ed6118c721002d6127307d6137308d6148c721001ea02d19372017309eb02eb02d195eded720591b1a4730a91b1a5730bd802d615db6501fed616b57215d9011663eded93cbc27216720693e4c67216060e720794e4c67216050e72099593b17216730cd802d617b27216730d00d618b2a5730e0095edededed93cbc27217720693e4c67217060e72078f7e8cc772170105720a92c17217720b90b1e4c672170911730fd803d619860273107311d61a8cb0e4c6721709117219d9011a4d4101d802d61c8c721a01d61d8c721a02958c721c02721c9593cbb3b3b3b3e4c67217070e7a721de4c67217080ee4c67217040e720ce4c67217050e8602721d7312721c01d61b94721a731395721bd802d61c830002d61d95937209721ce4c67217050ed801d61db57215d9011d63eded93cbc2721d720693e4c6721d050e720993e4c6721d060e72079593b1721d7314d803d61eb2721d731500d61fb0e4c6721e09117219d9011f4d4101d802d6218c721f01d6228c721f02958c72210272219593cbb3b3b3b3e4c6721e070e7a7222e4c6721e080ee4c6721e040e720ce4c6721e050e8602722273167221d6208c721f0195ed8c721f02947220731795ec91721a7220ed93721a72208f8cc77217018cc7721e01e4c67217050e721c721c721c95ed94721d721c94721d7209ededededededededededededed93c27218c2a793e4c672180404720193b1db630872187318938cb2db6308721873190001720793e4c67218053c0e0e8602720c721d93e4c67218061a720d93b2e4c672180711731a00720a93b2e4c672180711731b00720e93b2e4c672180711731c00720b93b2e4c672180711731d00720f93b2e4c672180711731e007204938ce4c67218084d0e02721193e4c67218093c0e0ee4c6a7093c0e0e721b731f7320732173227323d195ed720591b1db6501fe7324d806d615db6501fed616b57215d9011663edededededed93cbc27216721291b1db63087216732593e4c67216040e732693e4c67216050e7209e4c672160601efe4c672160801ae720dd901180e9372188cb2db6308721673270001d617ad7216d90117638cb2db6308721773280001d618b17216d619b1720dd61ab5a5d9011a6393c2721ac2a795ededafdb0c0e7217d9011b04efaeb472179a721b73297218d9011d0e93721db27217721b0092721895937219732a732b9a9d7219732c732d93b1721a732ed803d61bb2721a732f00d61c8ce4c6721b053c0e0e02d61db5a4d9011d63ed93cbc2721d720693e4c6721d050e720995ed9593721c8300027330d801d61eb57215d9011e63eded93cbc2721e720693e4c6721e060e720793e4c6721e050e721c9593b1721e7331d802d61fb2721e733200d620e4c6721f0911edededb072207333d901213d05d801d6238c72210195722372239593cbb3b3b3e4c6721f070e7a8c722102e4c6721f080e720ce4c6721f050e7334722392c1721f720b8f7e8cc7721f0105720a90b172207335733693b1721d7337eded92c1721b9ac1a7c1b2721d73380092b2e4c6721b07117339009a7202733aed93e4c6721b04047201937201733b733c733d733e95ed927202720491b1a5733fd80bd615947209830002d616b5a4d9011663ed93cbc27216720693e4c67216060e7207d6179ab072167340d9011741639a8c721701c18c72170299c1a7720ed6189d9c7217720f7341d6199c72187eb1720d05d61a99721995ed8f72187342917218734372197344d61b9d9c721773457346d61c99721b95ed8f721b734791721b7348721b7349d61d9591721c734aaea5d9011d63ed92c1721d721c93c2721dd0734b734cd61e9591721a734dafadb5db6501fed9011e63eded93cbc2721e721291b1db6308721e734eae720dd901200e9372208cb2db6308721e734f0001d9011e63e4c6721e070ed9011e0eaea5d9012063ed93c27220721e92c1722072187350d61f957215d801d61fb5a4d9011f63ed93cbc2721f720693e4c6721f050e72099591b1721f7351d801d620e4c6b2721f735200040e9593b47220735373547213cdeeb472207355b17220d1aea4d901216393c272217220d173569593b47214735773587213cdeeb472147359b17214d1aea4d9011f6393c2721f7214957215d801d620b57216d901206393e4c67220050e72099593b17220735ad803d621b27220735b00d622e4c672210911d623e4c67221040e95edededb07222735cd901243d05d801d6268c72240195722672269593cbb3b3b3b3e4c67221070e7a8c722402e4c67221080e7223720ce4c67221050e735d722692c17221720b8f7e8cc772210105720a90b17222735ed802d6249d9c72177211735fd62599999972177224721a721c959272257360ea02721fd1edededaea5d9012663ededed92c17226722593c27226722393b1db630872267361938cb2db63087226736200017207aea5d9012663ed92c172269a720e722493c272267214721d721eea02721fd1ededaea5d9012663ed92c172269a9a720e7224722593c272267214721d721ed17363d17364ea02721fd1ededaea5d9012063ededed92c1722099999a7217720e721c721a93c27220721493b1db630872207365938cb2db63087220736600017207721d721ed17367",
"ergoTreeConstants": "0: 4\n1: Coll(110,-120,62,34,92,-1,-115,-118,20,38,11,120,54,124,-30,-65,43,126,-55,71,42,44,-47,70,27,-82,97,88,-18,65,-44,29)\n2: 0\n3: 0\n4: 2\n5: 1\n6: 3\n7: 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)\n8: Coll(0,8,-51)\n9: 1\n10: 1\n11: 1\n12: 1\n13: 0\n14: 0\n15: 10\n16: -1\n17: false\n18: true\n19: -1\n20: 1\n21: 0\n22: true\n23: -1\n24: 1\n25: 0\n26: 0\n27: 1\n28: 2\n29: 3\n30: 4\n31: false\n32: false\n33: false\n34: false\n35: false\n36: 0\n37: 0\n38: 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)\n39: 0\n40: 0\n41: 1\n42: 0\n43: 0\n44: 2\n45: 1\n46: 1\n47: 0\n48: true\n49: 1\n50: 0\n51: false\n52: true\n53: 10\n54: false\n55: 1\n56: 0\n57: 4\n58: 30\n59: 1\n60: false\n61: false\n62: false\n63: 0\n64: 0\n65: 100\n66: 1000000\n67: 0\n68: 0\n69: 5\n70: 100\n71: 1000000\n72: 0\n73: 0\n74: 0\n75: SigmaProp(ProveDlog(ECPoint(1bf847,c2be87,...)))\n76: true\n77: 0\n78: 0\n79: 0\n80: true\n81: 0\n82: 0\n83: 0\n84: 3\n85: 3\n86: false\n87: 0\n88: 3\n89: 3\n90: 1\n91: 0\n92: false\n93: true\n94: 10\n95: 100\n96: 1000000\n97: 1\n98: 0\n99: false\n100: false\n101: 1\n102: 0\n103: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R7[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.R5[(Coll[Byte], Coll[Byte])].get\n val coll9 = tuple8._2\n val l10 = coll3(placeholder[Int](3))\n val l11 = coll3(placeholder[Int](4))\n val coll12 = tuple8._1\n val coll13 = SELF.R6[Coll[Coll[Byte]]].get\n val l14 = coll3(placeholder[Int](5))\n val l15 = coll3(placeholder[Int](6))\n val tuple16 = SELF.R8[(Coll[Byte], Long)].get\n val l17 = tuple16._2\n val coll18 = placeholder[Coll[Byte]](7)\n val coll19 = placeholder[Coll[Byte]](8)\n val coll20 = tuple16._1\n sigmaProp(i1 == placeholder[Int](9)) && sigmaProp(if ((bool5 && (INPUTS.size > placeholder[Int](10))) && (OUTPUTS.size > placeholder[Int](11))) {(\n val coll21 = CONTEXT.dataInputs\n val coll22 = coll21.filter({(box22: Box) => ((blake2b256(box22.propositionBytes) == coll6) && (box22.R6[Coll[Byte]].get == coll7)) && (box22.R5[Coll[Byte]].get != coll9) })\n if (coll22.size == placeholder[Int](12)) {(\n val box23 = coll22(placeholder[Int](13))\n val box24 = OUTPUTS(placeholder[Int](14))\n if (((((blake2b256(box23.propositionBytes) == coll6) && (box23.R6[Coll[Byte]].get == coll7)) && (box23.creationInfo._1.toLong < l10)) && (box23.value >= l11)) && (box23.R9[Coll[Long]].get.size <= placeholder[Int](15))) {(\n val tuple25 = (placeholder[Long](16), placeholder[Boolean](17))\n val l26 = box23.R9[Coll[Long]].get.fold(tuple25, {(tuple26: ((Long, Boolean), Long)) =>\n val tuple28 = tuple26._1\n val l29 = tuple26._2\n if (tuple28._2) { tuple28 } else { if (blake2b256(box23.R7[Coll[Byte]].get.append(longToByteArray(l29)).append(box23.R8[Coll[Byte]].get).append(box23.R4[Coll[Byte]].get).append(coll12)) == box23.R5[Coll[Byte]].get) { (l29, placeholder[Boolean](18)) } else { tuple28 } }\n })._1\n val bool27 = l26 != placeholder[Long](19)\n if (bool27) {(\n val coll28 = Coll[Byte]()\n val coll29 = if (coll9 == coll28) { box23.R5[Coll[Byte]].get } else {(\n val coll29 = coll21.filter({(box29: Box) => ((blake2b256(box29.propositionBytes) == coll6) && (box29.R5[Coll[Byte]].get == coll9)) && (box29.R6[Coll[Byte]].get == coll7) })\n if (coll29.size == placeholder[Int](20)) {(\n val box30 = coll29(placeholder[Int](21))\n val tuple31 = box30.R9[Coll[Long]].get.fold(tuple25, {(tuple31: ((Long, Boolean), Long)) =>\n val tuple33 = tuple31._1\n val l34 = tuple31._2\n if (tuple33._2) { tuple33 } else { if (blake2b256(box30.R7[Coll[Byte]].get.append(longToByteArray(l34)).append(box30.R8[Coll[Byte]].get).append(box30.R4[Coll[Byte]].get).append(coll12)) == box30.R5[Coll[Byte]].get) { (l34, placeholder[Boolean](22)) } else { tuple33 } }\n })\n val l32 = tuple31._1\n if (tuple31._2 && (l32 != placeholder[Long](23))) { if ((l26 > l32) || ((l26 == l32) && (box23.creationInfo._1 < box30.creationInfo._1))) { box23.R5[Coll[Byte]].get } else { coll28 } } else { coll28 }\n )} else { coll28 }\n )}\n if ((coll29 != coll28) && (coll29 != coll9)) { (((((((((((((box24.propositionBytes == SELF.propositionBytes) && (box24.R4[Int].get == i1)) && (box24.tokens.size == placeholder[Int](24))) && (box24.tokens(placeholder[Int](25))._1 == coll7)) && (box24.R5[(Coll[Byte], Coll[Byte])].get == (coll12, coll29))) && (box24.R6[Coll[Coll[Byte]]].get == coll13)) && (box24.R7[Coll[Long]].get(placeholder[Int](26)) == l10)) && (box24.R7[Coll[Long]].get(placeholder[Int](27)) == l14)) && (box24.R7[Coll[Long]].get(placeholder[Int](28)) == l11)) && (box24.R7[Coll[Long]].get(placeholder[Int](29)) == l15)) && (box24.R7[Coll[Long]].get(placeholder[Int](30)) == l4)) && (box24.R8[(Coll[Byte], Long)].get._2 == l17)) && (box24.R9[(Coll[Byte], Coll[Byte])].get == SELF.R9[(Coll[Byte], Coll[Byte])].get)) && bool27 } else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) }\n )} else { placeholder[Boolean](34) }\n )} else { placeholder[Boolean](35) }) || sigmaProp(if (bool5 && (CONTEXT.dataInputs.size > placeholder[Int](36))) {(\n val coll21 = CONTEXT.dataInputs\n val coll22 = coll21.filter({(box22: Box) => ((((((blake2b256(box22.propositionBytes) == coll18) && (box22.tokens.size > placeholder[Int](37))) && (box22.R4[Coll[Byte]].get == placeholder[Coll[Byte]](38))) && (box22.R5[Coll[Byte]].get == coll9)) && box22.R6[Boolean].get) && (!box22.R8[Boolean].get)) && coll13.exists({(coll24: Coll[Byte]) => coll24 == box22.tokens(placeholder[Int](39))._1 }) })\n val coll23 = coll22.map({(box23: Box) => box23.tokens(placeholder[Int](40))._1 })\n val i24 = coll22.size\n val i25 = coll13.size\n val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == SELF.propositionBytes })\n if ((coll23.indices.forall({(i27: Int) => !coll23.slice(i27 + placeholder[Int](41), i24).exists({(coll29: Coll[Byte]) => coll29 == coll23(i27) }) }) && (i24 >= if (i25 == placeholder[Int](42)) { placeholder[Int](43) } else { i25 / placeholder[Int](44) + placeholder[Int](45) })) && (coll26.size == placeholder[Int](46))) {(\n val box27 = coll26(placeholder[Int](47))\n val coll28 = box27.R5[(Coll[Byte], Coll[Byte])].get._2\n val coll29 = INPUTS.filter({(box29: Box) => (blake2b256(box29.propositionBytes) == coll6) && (box29.R5[Coll[Byte]].get == coll9) })\n if (if (coll28 == Coll[Byte]()) { placeholder[Boolean](48) } else {(\n val coll30 = coll21.filter({(box30: Box) => ((blake2b256(box30.propositionBytes) == coll6) && (box30.R6[Coll[Byte]].get == coll7)) && (box30.R5[Coll[Byte]].get == coll28) })\n if (coll30.size == placeholder[Int](49)) {(\n val box31 = coll30(placeholder[Int](50))\n val coll32 = box31.R9[Coll[Long]].get\n ((coll32.fold(placeholder[Boolean](51), {(tuple33: (Boolean, Long)) =>\n val bool35 = tuple33._1\n if (bool35) { bool35 } else { if (blake2b256(box31.R7[Coll[Byte]].get.append(longToByteArray(tuple33._2)).append(box31.R8[Coll[Byte]].get).append(coll12)) == box31.R5[Coll[Byte]].get) { placeholder[Boolean](52) } else { bool35 } }\n }) && (box31.value >= l11)) && (box31.creationInfo._1.toLong < l10)) && (coll32.size <= placeholder[Int](53))\n )} else { placeholder[Boolean](54) }\n )} && (coll29.size == placeholder[Int](55))) { ((box27.value >= SELF.value + coll29(placeholder[Int](56)).value) && (box27.R7[Coll[Long]].get(placeholder[Int](57)) >= l2 + placeholder[Long](58))) && ((box27.R4[Int].get == i1) && (i1 == placeholder[Int](59))) } else { placeholder[Boolean](60) }\n )} else { placeholder[Boolean](61) }\n )} else { placeholder[Boolean](62) }) || if ((l2 >= l4) && (OUTPUTS.size > placeholder[Int](63))) {(\n val bool21 = coll9 != Coll[Byte]()\n val coll22 = INPUTS.filter({(box22: Box) => (blake2b256(box22.propositionBytes) == coll6) && (box22.R6[Coll[Byte]].get == coll7) })\n val l23 = coll22.fold(placeholder[Long](64), {(tuple23: (Long, Box)) => tuple23._1 + tuple23._2.value }) + SELF.value - l14\n val l24 = l23 * l15 / placeholder[Long](65)\n val l25 = l24 * coll13.size.toLong\n val l26 = l25 - if ((l24 < placeholder[Long](66)) && (l24 > placeholder[Long](67))) { l25 } else { placeholder[Long](68) }\n val l27 = l23 * placeholder[Long](69) / placeholder[Long](70)\n val l28 = l27 - if ((l27 < placeholder[Long](71)) && (l27 > placeholder[Long](72))) { l27 } else { placeholder[Long](73) }\n val bool29 = if (l28 > placeholder[Long](74)) {\n OUTPUTS.exists({(box29: Box) => (box29.value >= l28) && (box29.propositionBytes == placeholder[SigmaProp](75).propBytes) })\n } else { placeholder[Boolean](76) }\n val bool30 = if (l26 > placeholder[Long](77)) {\n CONTEXT.dataInputs.filter(\n {(box30: Box) =>\n ((blake2b256(box30.propositionBytes) == coll18) && (box30.tokens.size > placeholder[Int](78))) && coll13.exists(\n {(coll32: Coll[Byte]) => coll32 == box30.tokens(placeholder[Int](79))._1 }\n )\n }\n ).map({(box30: Box) => box30.R7[Coll[Byte]].get }).forall(\n {(coll30: Coll[Byte]) => OUTPUTS.exists({(box32: Box) => (box32.propositionBytes == coll30) && (box32.value >= l24) }) }\n )\n } else { placeholder[Boolean](80) }\n val prop31 = if (bool21) {(\n val coll31 = INPUTS.filter({(box31: Box) => (blake2b256(box31.propositionBytes) == coll6) && (box31.R5[Coll[Byte]].get == coll9) })\n if (coll31.size > placeholder[Int](81)) {(\n val coll32 = coll31(placeholder[Int](82)).R4[Coll[Byte]].get\n if (coll32.slice(placeholder[Int](83), placeholder[Int](84)) == coll19) {\n proveDlog(decodePoint(coll32.slice(placeholder[Int](85), coll32.size)))\n } else { sigmaProp(INPUTS.exists({(box33: Box) => box33.propositionBytes == coll32 })) }\n )} else { sigmaProp(placeholder[Boolean](86)) }\n )} else {\n if (coll20.slice(placeholder[Int](87), placeholder[Int](88)) == coll19) { proveDlog(decodePoint(coll20.slice(placeholder[Int](89), coll20.size))) } else {\n sigmaProp(INPUTS.exists({(box31: Box) => box31.propositionBytes == coll20 }))\n }\n }\n if (bool21) {(\n val coll32 = coll22.filter({(box32: Box) => box32.R5[Coll[Byte]].get == coll9 })\n if (coll32.size == placeholder[Int](90)) {(\n val box33 = coll32(placeholder[Int](91))\n val coll34 = box33.R9[Coll[Long]].get\n val coll35 = box33.R4[Coll[Byte]].get\n if (((coll34.fold(placeholder[Boolean](92), {(tuple36: (Boolean, Long)) =>\n val bool38 = tuple36._1\n if (bool38) { bool38 } else { if (blake2b256(box33.R7[Coll[Byte]].get.append(longToByteArray(tuple36._2)).append(box33.R8[Coll[Byte]].get).append(coll35).append(coll12)) == box33.R5[Coll[Byte]].get) { placeholder[Boolean](93) } else { bool38 } }\n }) && (box33.value >= l11)) && (box33.creationInfo._1.toLong < l10)) && (coll34.size <= placeholder[Int](94))) {(\n val l36 = l23 * l17 / placeholder[Long](95)\n val l37 = l23 - l36 - l26 - l28\n if (l37 >= placeholder[Long](96)) {\n prop31 && sigmaProp(\n (\n (\n OUTPUTS.exists(\n {(box38: Box) =>\n (((box38.value >= l37) && (box38.propositionBytes == coll35)) && (box38.tokens.size == placeholder[Int](97))) && (\n box38.tokens(placeholder[Int](98))._1 == coll7\n )\n }\n ) && OUTPUTS.exists({(box38: Box) => (box38.value >= l14 + l36) && (box38.propositionBytes == coll20) })\n ) && bool29\n ) && bool30\n )\n } else {\n prop31 && sigmaProp((OUTPUTS.exists({(box38: Box) => (box38.value >= l14 + l36 + l37) && (box38.propositionBytes == coll20) }) && bool29) && bool30)\n }\n )} else { sigmaProp(placeholder[Boolean](99)) }\n )} else { sigmaProp(placeholder[Boolean](100)) }\n )} else {\n prop31 && sigmaProp(\n (\n OUTPUTS.exists(\n {(box32: Box) =>\n (((box32.value >= l23 + l14 - l28 - l26) && (box32.propositionBytes == coll20)) && (box32.tokens.size == placeholder[Int](101))) && (\n box32.tokens(placeholder[Int](102))._1 == coll7\n )\n }\n ) && bool29\n ) && bool30\n )\n }\n )} else { sigmaProp(placeholder[Boolean](103)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "16288b26fee08ac011f9486177f91b9545434ed91e3d1ae29b413ecd9f71d45a",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "3c0e0e2035aa11186c18d3e04f81656248213a1a3c43e89a67045763287e644db60c3f21204de91119c8fab204c5437b4e0ed7935acf0b8769ac147f0c12d709e3bf03bfbf",
"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[35aa11186c18d3e04f81656248213a1a3c43e89a67045763287e644db60c3f21,4de91119c8fab204c5437b4e0ed7935acf0b8769ac147f0c12d709e3bf03bfbf]"
},
"R6": {
"serializedValue": "1a0120758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9]"
},
"R8": {
"serializedValue": "4d0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b728",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7,20]"
},
"R7": {
"serializedValue": "110596f4c70180897a80897a28e8f4c701",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1637643,1000000,1000000,20,1637684]"
},
"R9": {
"serializedValue": "3c0e0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b79c017b227469746c65223a22536e616b65222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d7d",
"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7,7b227469746c65223a22536e616b65222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d7d]"
},
"R4": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
}
}
},
{
"boxId": "49dfab7ea75dc3b38193012ca0cbab19760ee412f6e7df344097c385b10d1e11",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "563602657cb27728d86f523d0ee2a29ff5dcdefdd0378c63ac3c5d1df419712e",
"outputTransactionId": "727d7bc4a7e54a832831d24ba4df684680b30a75bb5c8bb5d914f91b904e33e4",
"outputIndex": 0,
"outputGlobalIndex": 50974624,
"outputCreatedAt": 1637642,
"outputSettledAt": 1637644,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(0,8,-51)\n2: 1\n3: 0\n4: 1\n5: 1\n6: 0\n7: 1\n8: 1\n9: 0\n10: 1\n11: 1\n12: 0\n13: 2\n14: 1\n15: false\n16: 0\n17: 0\n18: 0\n19: 2\n20: 0\n21: 3\n22: 3\n23: false\n24: 1\n25: 0\n26: 0\n27: 1\n28: 0\n29: 0\n30: 720\n31: 0\n32: 3\n33: 3\n34: false\n35: false\n36: 1\n37: 0\n38: 0\n39: 1\n40: 3\n41: false\n42: 1\n43: 0\n44: 3\n45: 1\n46: 0\n47: false\n48: false\n49: 1\n50: 0\n51: 3\n52: 64800\n53: 0\n54: 3\n55: 3\n56: false\n57: false",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = SELF.R6[Coll[Byte]].get\n val coll4 = SELF.R4[Coll[Byte]].get\n val coll5 = placeholder[Coll[Byte]](1)\n val coll6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size == placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == coll3)) && (box6.R4[Int].get == placeholder[Int](4))\n })\n val coll7 = INPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n ((coll9.size == placeholder[Int](5)) && (coll9(placeholder[Int](6))._1 == coll3)) && (box7.R4[Int].get == placeholder[Int](7))\n })\n val coll8 = coll1.filter({(box8: Box) =>\n val coll10 = box8.tokens\n ((coll10.size == placeholder[Int](8)) && (coll10(placeholder[Int](9))._1 == coll3)) && (box8.R4[Int].get == placeholder[Int](10))\n })\n if (bool2) {(\n val coll9 = coll1.filter({(box9: Box) =>\n val coll11 = box9.tokens\n ((coll11.size == placeholder[Int](11)) && (coll11(placeholder[Int](12))._1 == coll3)) && (box9.R4[Int].get == placeholder[Int](13))\n })\n if (coll9.size != placeholder[Int](14)) { sigmaProp(placeholder[Boolean](15)) } else {(\n val box10 = coll9(placeholder[Int](16))\n val coll11 = box10.tokens\n sigmaProp(\n (((coll11.size > placeholder[Int](17)) && (coll11(placeholder[Int](18))._1 == coll3)) && box10.R6[Coll[Byte]].isDefined) && (\n box10.R4[Int].get == placeholder[Int](19)\n )\n ) && sigmaProp(coll4.slice(placeholder[Int](20), placeholder[Int](21)) == coll5) && proveDlog(\n decodePoint(coll4.slice(placeholder[Int](22), coll4.size))\n ) || sigmaProp(INPUTS.exists({(box12: Box) => box12.propositionBytes == coll4 }))\n )}\n )} else { sigmaProp(placeholder[Boolean](23)) } || if (bool2) {(\n val coll9 = coll1.filter({(box9: Box) =>\n val coll11 = box9.tokens\n ((coll11.size == placeholder[Int](24)) && (coll11(placeholder[Int](25))._1 == coll3)) && (box9.R4[Int].get == placeholder[Int](26))\n })\n if (coll9.size == placeholder[Int](27)) {\n sigmaProp(HEIGHT.toLong >= coll9(placeholder[Int](28)).R8[Coll[Long]].get(placeholder[Int](29)) + placeholder[Long](30)) && sigmaProp(\n coll4.slice(placeholder[Int](31), placeholder[Int](32)) == coll5\n ) && proveDlog(decodePoint(coll4.slice(placeholder[Int](33), coll4.size))) || sigmaProp(INPUTS.exists({(box10: Box) => box10.propositionBytes == coll4 }))\n } else { sigmaProp(placeholder[Boolean](34)) }\n )} else { sigmaProp(placeholder[Boolean](35)) } || sigmaProp(if (coll6.size == placeholder[Int](36)) {(\n val box9 = coll6(placeholder[Int](37))\n ((box9.tokens(placeholder[Int](38))._1 == coll3) && (box9.R4[Int].get == placeholder[Int](39))) && (HEIGHT.toLong >= box9.R7[Coll[Long]].get(placeholder[Int](40)))\n )} else { placeholder[Boolean](41) }) || sigmaProp(if (coll7.size == placeholder[Int](42)) {(\n val box9 = coll7(placeholder[Int](43))\n val coll10 = box9.R5[(Coll[Byte], Coll[Byte])].get._2\n val coll11 = OUTPUTS.filter({(box11: Box) => box11.propositionBytes == box9.propositionBytes })\n if (((HEIGHT.toLong < box9.R7[Coll[Long]].get(placeholder[Int](44))) && (SELF.R5[Coll[Byte]].get == coll10)) && (coll11.size == placeholder[Int](45))) {(\n val box12 = coll11(placeholder[Int](46))\n (box12.value >= box9.value + SELF.value) && (box12.R5[(Coll[Byte], Coll[Byte])].get._2 != coll10)\n )} else { placeholder[Boolean](47) }\n )} else { placeholder[Boolean](48) }) || if (coll8.size == placeholder[Int](49)) {(\n val box9 = coll8(placeholder[Int](50))\n if (HEIGHT.toLong >= box9.R7[Coll[Long]].get(placeholder[Int](51)) + placeholder[Long](52)) {(\n val coll10 = box9.R8[(Coll[Byte], Long)].get._1\n sigmaProp(coll10.slice(placeholder[Int](53), placeholder[Int](54)) == coll5) && proveDlog(\n decodePoint(coll10.slice(placeholder[Int](55), coll10.size))\n ) || sigmaProp(INPUTS.exists({(box11: Box) => box11.propositionBytes == coll10 })) && sigmaProp(\n OUTPUTS.exists({(box11: Box) => (box11.propositionBytes == coll10) && (box11.value >= SELF.value) })\n )\n )} else { sigmaProp(placeholder[Boolean](56)) }\n )} else { sigmaProp(placeholder[Boolean](57)) }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e204de91119c8fab204c5437b4e0ed7935acf0b8769ac147f0c12d709e3bf03bfbf",
"sigmaType": "Coll[SByte]",
"renderedValue": "4de91119c8fab204c5437b4e0ed7935acf0b8769ac147f0c12d709e3bf03bfbf"
},
"R6": {
"serializedValue": "0e2016288b26fee08ac011f9486177f91b9545434ed91e3d1ae29b413ecd9f71d45a",
"sigmaType": "Coll[SByte]",
"renderedValue": "16288b26fee08ac011f9486177f91b9545434ed91e3d1ae29b413ecd9f71d45a"
},
"R8": {
"serializedValue": "0e20238fbc6f4e74fe9b833517e63c3e515f9fea9435ba1fc561b0eed1877f4f044d",
"sigmaType": "Coll[SByte]",
"renderedValue": "238fbc6f4e74fe9b833517e63c3e515f9fea9435ba1fc561b0eed1877f4f044d"
},
"R7": {
"serializedValue": "0e201eefbf2616b3c449f947cee863e859b5cc7c1fe25aedd296786d327f801a9d1b",
"sigmaType": "Coll[SByte]",
"renderedValue": "1eefbf2616b3c449f947cee863e859b5cc7c1fe25aedd296786d327f801a9d1b"
},
"R9": {
"serializedValue": "110828f601049c1340c8016a2e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[20,123,2,1230,32,100,53,23]"
},
"R4": {
"serializedValue": "0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7"
}
}
},
{
"boxId": "613350e0aa1d1e44153a7c74dc84f2a0ce8cf3bf22cb359a4b09495b758fc0c8",
"value": 548964520,
"index": 2,
"spendingProof": "a47e6d4b7f56ec88f5495926e76a987600b3f759680f52fc0838652d213c032d87ddb0ef9c19d3dac5f1c63d25ad73f0d874546c841c7701",
"outputBlockId": "21962aba37ce0aa2859532ed472cb02efc5dfe6519e09a039564c7259fd461b2",
"outputTransactionId": "2bc61d379f6fea957a8e675157d5dfa5a99f5a845ec6039ff2506f729c525ff4",
"outputIndex": 3,
"outputGlobalIndex": 50974742,
"outputCreatedAt": 1637646,
"outputSettledAt": 1637647,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "e39a0caed9cb88e696d61057cdd54834e979e6adaa1f6537da162d05da6f7d0c",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "a0dda03db7197b89365b75b33c7488a5ee7908c8a28a36fa1b5c676a2b50d905",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "ac0bcdb8129f912eb367d28c419a219d29a7159d22e8f2dbb6176e05a7316342",
"index": 2,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "1445e0c5a021293aa4a1aeff00782302ee281979c372ce508b7f584a6ffba61f",
"index": 3,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "cdca7d850f29ccf7bc66409ce9139229a29f8d2cdd8374263fa57dff97502216",
"index": 4,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "8821752e5972bcf3cb98f1a19f13e7fe440cccbe4facf3a234b6b838cc70be84",
"index": 5,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 6,
"amount": 96951098,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 7,
"amount": 999899774500,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2c5d596d617aaafe16f3f58b2c562d046eda658f0243dc1119614160d92a4717",
"index": 8,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "70d0e8e56699ca4c61488f421d9eda77e77e180b7ec94115a2b325f36d5984d7",
"index": 9,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "469632d31f1762c604fb5605f17a6a3acea25dc0c0acd9ed9c99a9657a39ef13",
"index": 10,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 11,
"amount": 61056,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 12,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 13,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "a6b3df8edc3223975b49247b425e69a85cb45f3c7a94668ba89c890f2f0d2194",
"index": 14,
"amount": 8000,
"name": "TEST DEV 50 PERCENT APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2293d454406cc0f3b6a7c63db90fc989b4065204d4b101f8fe155d1d65c283ff",
"index": 15,
"amount": 10000,
"name": "TEST FULL WITHDRAW V3 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "50f7276d622ac22873b0c6dfee16146084e894c2ab2aa5631e2f60efb9957f18",
"index": 16,
"amount": 99981000,
"name": "TGD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "950e6f63aab88d72048da7d561efcb1bad568bc7a82fe3cc26ea729619cc3d9f",
"index": 17,
"amount": 7000,
"name": "Test project for 1.2 V1 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
"index": 18,
"amount": 1,
"name": "🚬",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ef0199cb118810aa3b35b5b071d2f417bdc6c27e985bbd425a1f04d31a12a59b",
"index": 19,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "44f3f0b7ebb5369965908aaa586ed811f62c1688e6ae375b7af523cba0027ea6",
"index": 20,
"amount": 37,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "382f971e914e13299882fe06afbafd4ff3f6c0dcde013155bb96d98d545ef7fa",
"value": 1000000,
"index": 0,
"outputBlockId": "21962aba37ce0aa2859532ed472cb02efc5dfe6519e09a039564c7259fd461b2",
"outputTransactionId": "2bc61d379f6fea957a8e675157d5dfa5a99f5a845ec6039ff2506f729c525ff4",
"outputIndex": 1,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e204de91119c8fab204c5437b4e0ed7935acf0b8769ac147f0c12d709e3bf03bfbf",
"sigmaType": "Coll[SByte]",
"renderedValue": "4de91119c8fab204c5437b4e0ed7935acf0b8769ac147f0c12d709e3bf03bfbf"
},
"R6": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R8": {
"serializedValue": "0100",
"sigmaType": "SBoolean",
"renderedValue": "false"
},
"R7": {
"serializedValue": "0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7"
},
"R9": {
"serializedValue": "0e046e756c6c",
"sigmaType": "Coll[SByte]",
"renderedValue": "6e756c6c"
},
"R4": {
"serializedValue": "0e20f6819e0b7cf99c8c7872b62f4985b8d900c6150925d01eb279787517a848b6d8",
"sigmaType": "Coll[SByte]",
"renderedValue": "f6819e0b7cf99c8c7872b62f4985b8d900c6150925d01eb279787517a848b6d8"
}
}
}
],
"outputs": [
{
"boxId": "d92ffe385c191a1a4250f4b29fc2726fdbcf5464cdf7675eace04d95e7fd8052",
"transactionId": "569fbd4198bc45fac5ad2fed5da7be349751fabbec6d9cc1c3b0af700d9f6171",
"blockId": "7ea8869185f5a8582df6ec7161344de3b3641aea9444af98a2332bf91153afb5",
"value": 2920960,
"index": 0,
"globalIndex": 50974863,
"creationHeight": 1637650,
"settlementHeight": 1637651,
"ergoTree": "19c3126804080e206e883e225cff8d8a14260b78367ce2bf2b7ec9472a2cd1461bae6158ee41d41d040004000404040204060e203a94621862f67454cbdd613ed3a64482b9dfe3093c6182356ba4f4a14411f7950e030008cd040204020402040204000400041405010100010105010402040001010501040204000400040204040406040801000100010001000100040004000e20f6819e0b7cf99c8c7872b62f4985b8d900c6150925d01eb279787517a848b6d80400040004020400040004040402040204000101040204000100010104140100040204000408053c04020100010001000400050005c8010580897a05000500050a05c8010580897a05000500050008cd021bf8470168c2c2328ed9ed79f002204626663087cde7bb8dcdaa7f0626a65568010105000400040001010400040004000406040601000400040604060402040001000101041405c8010580897a0402040001000100040204000100d814d601e4c6a70404d6027ea305d603e4c6a70711d604b27203730000d6058f72027204d6067301d6078cb2db6308a773020001d608e4c6a7053c0e0ed6098c720802d60ab27203730300d60bb27203730400d60c8c720801d60de4c6a7061ad60eb27203730500d60fb27203730600d610e4c6a7084d0ed6118c721002d6127307d6137308d6148c721001ea02d19372017309eb02eb02d195eded720591b1a4730a91b1a5730bd802d615db6501fed616b57215d9011663eded93cbc27216720693e4c67216060e720794e4c67216050e72099593b17216730cd802d617b27216730d00d618b2a5730e0095edededed93cbc27217720693e4c67217060e72078f7e8cc772170105720a92c17217720b90b1e4c672170911730fd803d619860273107311d61a8cb0e4c6721709117219d9011a4d4101d802d61c8c721a01d61d8c721a02958c721c02721c9593cbb3b3b3b3e4c67217070e7a721de4c67217080ee4c67217040e720ce4c67217050e8602721d7312721c01d61b94721a731395721bd802d61c830002d61d95937209721ce4c67217050ed801d61db57215d9011d63eded93cbc2721d720693e4c6721d050e720993e4c6721d060e72079593b1721d7314d803d61eb2721d731500d61fb0e4c6721e09117219d9011f4d4101d802d6218c721f01d6228c721f02958c72210272219593cbb3b3b3b3e4c6721e070e7a7222e4c6721e080ee4c6721e040e720ce4c6721e050e8602722273167221d6208c721f0195ed8c721f02947220731795ec91721a7220ed93721a72208f8cc77217018cc7721e01e4c67217050e721c721c721c95ed94721d721c94721d7209ededededededededededededed93c27218c2a793e4c672180404720193b1db630872187318938cb2db6308721873190001720793e4c67218053c0e0e8602720c721d93e4c67218061a720d93b2e4c672180711731a00720a93b2e4c672180711731b00720e93b2e4c672180711731c00720b93b2e4c672180711731d00720f93b2e4c672180711731e007204938ce4c67218084d0e02721193e4c67218093c0e0ee4c6a7093c0e0e721b731f7320732173227323d195ed720591b1db6501fe7324d806d615db6501fed616b57215d9011663edededededed93cbc27216721291b1db63087216732593e4c67216040e732693e4c67216050e7209e4c672160601efe4c672160801ae720dd901180e9372188cb2db6308721673270001d617ad7216d90117638cb2db6308721773280001d618b17216d619b1720dd61ab5a5d9011a6393c2721ac2a795ededafdb0c0e7217d9011b04efaeb472179a721b73297218d9011d0e93721db27217721b0092721895937219732a732b9a9d7219732c732d93b1721a732ed803d61bb2721a732f00d61c8ce4c6721b053c0e0e02d61db5a4d9011d63ed93cbc2721d720693e4c6721d050e720995ed9593721c8300027330d801d61eb57215d9011e63eded93cbc2721e720693e4c6721e060e720793e4c6721e050e721c9593b1721e7331d802d61fb2721e733200d620e4c6721f0911edededb072207333d901213d05d801d6238c72210195722372239593cbb3b3b3e4c6721f070e7a8c722102e4c6721f080e720ce4c6721f050e7334722392c1721f720b8f7e8cc7721f0105720a90b172207335733693b1721d7337eded92c1721b9ac1a7c1b2721d73380092b2e4c6721b07117339009a7202733aed93e4c6721b04047201937201733b733c733d733e95ed927202720491b1a5733fd80bd615947209830002d616b5a4d9011663ed93cbc27216720693e4c67216060e7207d6179ab072167340d9011741639a8c721701c18c72170299c1a7720ed6189d9c7217720f7341d6199c72187eb1720d05d61a99721995ed8f72187342917218734372197344d61b9d9c721773457346d61c99721b95ed8f721b734791721b7348721b7349d61d9591721c734aaea5d9011d63ed92c1721d721c93c2721dd0734b734cd61e9591721a734dafadb5db6501fed9011e63eded93cbc2721e721291b1db6308721e734eae720dd901200e9372208cb2db6308721e734f0001d9011e63e4c6721e070ed9011e0eaea5d9012063ed93c27220721e92c1722072187350d61f957215d801d61fb5a4d9011f63ed93cbc2721f720693e4c6721f050e72099591b1721f7351d801d620e4c6b2721f735200040e9593b47220735373547213cdeeb472207355b17220d1aea4d901216393c272217220d173569593b47214735773587213cdeeb472147359b17214d1aea4d9011f6393c2721f7214957215d801d620b57216d901206393e4c67220050e72099593b17220735ad803d621b27220735b00d622e4c672210911d623e4c67221040e95edededb07222735cd901243d05d801d6268c72240195722672269593cbb3b3b3b3e4c67221070e7a8c722402e4c67221080e7223720ce4c67221050e735d722692c17221720b8f7e8cc772210105720a90b17222735ed802d6249d9c72177211735fd62599999972177224721a721c959272257360ea02721fd1edededaea5d9012663ededed92c17226722593c27226722393b1db630872267361938cb2db63087226736200017207aea5d9012663ed92c172269a720e722493c272267214721d721eea02721fd1ededaea5d9012663ed92c172269a9a720e7224722593c272267214721d721ed17363d17364ea02721fd1ededaea5d9012063ededed92c1722099999a7217720e721c721a93c27220721493b1db630872207365938cb2db63087220736600017207721d721ed17367",
"ergoTreeConstants": "0: 4\n1: Coll(110,-120,62,34,92,-1,-115,-118,20,38,11,120,54,124,-30,-65,43,126,-55,71,42,44,-47,70,27,-82,97,88,-18,65,-44,29)\n2: 0\n3: 0\n4: 2\n5: 1\n6: 3\n7: 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)\n8: Coll(0,8,-51)\n9: 1\n10: 1\n11: 1\n12: 1\n13: 0\n14: 0\n15: 10\n16: -1\n17: false\n18: true\n19: -1\n20: 1\n21: 0\n22: true\n23: -1\n24: 1\n25: 0\n26: 0\n27: 1\n28: 2\n29: 3\n30: 4\n31: false\n32: false\n33: false\n34: false\n35: false\n36: 0\n37: 0\n38: 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)\n39: 0\n40: 0\n41: 1\n42: 0\n43: 0\n44: 2\n45: 1\n46: 1\n47: 0\n48: true\n49: 1\n50: 0\n51: false\n52: true\n53: 10\n54: false\n55: 1\n56: 0\n57: 4\n58: 30\n59: 1\n60: false\n61: false\n62: false\n63: 0\n64: 0\n65: 100\n66: 1000000\n67: 0\n68: 0\n69: 5\n70: 100\n71: 1000000\n72: 0\n73: 0\n74: 0\n75: SigmaProp(ProveDlog(ECPoint(1bf847,c2be87,...)))\n76: true\n77: 0\n78: 0\n79: 0\n80: true\n81: 0\n82: 0\n83: 0\n84: 3\n85: 3\n86: false\n87: 0\n88: 3\n89: 3\n90: 1\n91: 0\n92: false\n93: true\n94: 10\n95: 100\n96: 1000000\n97: 1\n98: 0\n99: false\n100: false\n101: 1\n102: 0\n103: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R7[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.R5[(Coll[Byte], Coll[Byte])].get\n val coll9 = tuple8._2\n val l10 = coll3(placeholder[Int](3))\n val l11 = coll3(placeholder[Int](4))\n val coll12 = tuple8._1\n val coll13 = SELF.R6[Coll[Coll[Byte]]].get\n val l14 = coll3(placeholder[Int](5))\n val l15 = coll3(placeholder[Int](6))\n val tuple16 = SELF.R8[(Coll[Byte], Long)].get\n val l17 = tuple16._2\n val coll18 = placeholder[Coll[Byte]](7)\n val coll19 = placeholder[Coll[Byte]](8)\n val coll20 = tuple16._1\n sigmaProp(i1 == placeholder[Int](9)) && sigmaProp(if ((bool5 && (INPUTS.size > placeholder[Int](10))) && (OUTPUTS.size > placeholder[Int](11))) {(\n val coll21 = CONTEXT.dataInputs\n val coll22 = coll21.filter({(box22: Box) => ((blake2b256(box22.propositionBytes) == coll6) && (box22.R6[Coll[Byte]].get == coll7)) && (box22.R5[Coll[Byte]].get != coll9) })\n if (coll22.size == placeholder[Int](12)) {(\n val box23 = coll22(placeholder[Int](13))\n val box24 = OUTPUTS(placeholder[Int](14))\n if (((((blake2b256(box23.propositionBytes) == coll6) && (box23.R6[Coll[Byte]].get == coll7)) && (box23.creationInfo._1.toLong < l10)) && (box23.value >= l11)) && (box23.R9[Coll[Long]].get.size <= placeholder[Int](15))) {(\n val tuple25 = (placeholder[Long](16), placeholder[Boolean](17))\n val l26 = box23.R9[Coll[Long]].get.fold(tuple25, {(tuple26: ((Long, Boolean), Long)) =>\n val tuple28 = tuple26._1\n val l29 = tuple26._2\n if (tuple28._2) { tuple28 } else { if (blake2b256(box23.R7[Coll[Byte]].get.append(longToByteArray(l29)).append(box23.R8[Coll[Byte]].get).append(box23.R4[Coll[Byte]].get).append(coll12)) == box23.R5[Coll[Byte]].get) { (l29, placeholder[Boolean](18)) } else { tuple28 } }\n })._1\n val bool27 = l26 != placeholder[Long](19)\n if (bool27) {(\n val coll28 = Coll[Byte]()\n val coll29 = if (coll9 == coll28) { box23.R5[Coll[Byte]].get } else {(\n val coll29 = coll21.filter({(box29: Box) => ((blake2b256(box29.propositionBytes) == coll6) && (box29.R5[Coll[Byte]].get == coll9)) && (box29.R6[Coll[Byte]].get == coll7) })\n if (coll29.size == placeholder[Int](20)) {(\n val box30 = coll29(placeholder[Int](21))\n val tuple31 = box30.R9[Coll[Long]].get.fold(tuple25, {(tuple31: ((Long, Boolean), Long)) =>\n val tuple33 = tuple31._1\n val l34 = tuple31._2\n if (tuple33._2) { tuple33 } else { if (blake2b256(box30.R7[Coll[Byte]].get.append(longToByteArray(l34)).append(box30.R8[Coll[Byte]].get).append(box30.R4[Coll[Byte]].get).append(coll12)) == box30.R5[Coll[Byte]].get) { (l34, placeholder[Boolean](22)) } else { tuple33 } }\n })\n val l32 = tuple31._1\n if (tuple31._2 && (l32 != placeholder[Long](23))) { if ((l26 > l32) || ((l26 == l32) && (box23.creationInfo._1 < box30.creationInfo._1))) { box23.R5[Coll[Byte]].get } else { coll28 } } else { coll28 }\n )} else { coll28 }\n )}\n if ((coll29 != coll28) && (coll29 != coll9)) { (((((((((((((box24.propositionBytes == SELF.propositionBytes) && (box24.R4[Int].get == i1)) && (box24.tokens.size == placeholder[Int](24))) && (box24.tokens(placeholder[Int](25))._1 == coll7)) && (box24.R5[(Coll[Byte], Coll[Byte])].get == (coll12, coll29))) && (box24.R6[Coll[Coll[Byte]]].get == coll13)) && (box24.R7[Coll[Long]].get(placeholder[Int](26)) == l10)) && (box24.R7[Coll[Long]].get(placeholder[Int](27)) == l14)) && (box24.R7[Coll[Long]].get(placeholder[Int](28)) == l11)) && (box24.R7[Coll[Long]].get(placeholder[Int](29)) == l15)) && (box24.R7[Coll[Long]].get(placeholder[Int](30)) == l4)) && (box24.R8[(Coll[Byte], Long)].get._2 == l17)) && (box24.R9[(Coll[Byte], Coll[Byte])].get == SELF.R9[(Coll[Byte], Coll[Byte])].get)) && bool27 } else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) }\n )} else { placeholder[Boolean](34) }\n )} else { placeholder[Boolean](35) }) || sigmaProp(if (bool5 && (CONTEXT.dataInputs.size > placeholder[Int](36))) {(\n val coll21 = CONTEXT.dataInputs\n val coll22 = coll21.filter({(box22: Box) => ((((((blake2b256(box22.propositionBytes) == coll18) && (box22.tokens.size > placeholder[Int](37))) && (box22.R4[Coll[Byte]].get == placeholder[Coll[Byte]](38))) && (box22.R5[Coll[Byte]].get == coll9)) && box22.R6[Boolean].get) && (!box22.R8[Boolean].get)) && coll13.exists({(coll24: Coll[Byte]) => coll24 == box22.tokens(placeholder[Int](39))._1 }) })\n val coll23 = coll22.map({(box23: Box) => box23.tokens(placeholder[Int](40))._1 })\n val i24 = coll22.size\n val i25 = coll13.size\n val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == SELF.propositionBytes })\n if ((coll23.indices.forall({(i27: Int) => !coll23.slice(i27 + placeholder[Int](41), i24).exists({(coll29: Coll[Byte]) => coll29 == coll23(i27) }) }) && (i24 >= if (i25 == placeholder[Int](42)) { placeholder[Int](43) } else { i25 / placeholder[Int](44) + placeholder[Int](45) })) && (coll26.size == placeholder[Int](46))) {(\n val box27 = coll26(placeholder[Int](47))\n val coll28 = box27.R5[(Coll[Byte], Coll[Byte])].get._2\n val coll29 = INPUTS.filter({(box29: Box) => (blake2b256(box29.propositionBytes) == coll6) && (box29.R5[Coll[Byte]].get == coll9) })\n if (if (coll28 == Coll[Byte]()) { placeholder[Boolean](48) } else {(\n val coll30 = coll21.filter({(box30: Box) => ((blake2b256(box30.propositionBytes) == coll6) && (box30.R6[Coll[Byte]].get == coll7)) && (box30.R5[Coll[Byte]].get == coll28) })\n if (coll30.size == placeholder[Int](49)) {(\n val box31 = coll30(placeholder[Int](50))\n val coll32 = box31.R9[Coll[Long]].get\n ((coll32.fold(placeholder[Boolean](51), {(tuple33: (Boolean, Long)) =>\n val bool35 = tuple33._1\n if (bool35) { bool35 } else { if (blake2b256(box31.R7[Coll[Byte]].get.append(longToByteArray(tuple33._2)).append(box31.R8[Coll[Byte]].get).append(coll12)) == box31.R5[Coll[Byte]].get) { placeholder[Boolean](52) } else { bool35 } }\n }) && (box31.value >= l11)) && (box31.creationInfo._1.toLong < l10)) && (coll32.size <= placeholder[Int](53))\n )} else { placeholder[Boolean](54) }\n )} && (coll29.size == placeholder[Int](55))) { ((box27.value >= SELF.value + coll29(placeholder[Int](56)).value) && (box27.R7[Coll[Long]].get(placeholder[Int](57)) >= l2 + placeholder[Long](58))) && ((box27.R4[Int].get == i1) && (i1 == placeholder[Int](59))) } else { placeholder[Boolean](60) }\n )} else { placeholder[Boolean](61) }\n )} else { placeholder[Boolean](62) }) || if ((l2 >= l4) && (OUTPUTS.size > placeholder[Int](63))) {(\n val bool21 = coll9 != Coll[Byte]()\n val coll22 = INPUTS.filter({(box22: Box) => (blake2b256(box22.propositionBytes) == coll6) && (box22.R6[Coll[Byte]].get == coll7) })\n val l23 = coll22.fold(placeholder[Long](64), {(tuple23: (Long, Box)) => tuple23._1 + tuple23._2.value }) + SELF.value - l14\n val l24 = l23 * l15 / placeholder[Long](65)\n val l25 = l24 * coll13.size.toLong\n val l26 = l25 - if ((l24 < placeholder[Long](66)) && (l24 > placeholder[Long](67))) { l25 } else { placeholder[Long](68) }\n val l27 = l23 * placeholder[Long](69) / placeholder[Long](70)\n val l28 = l27 - if ((l27 < placeholder[Long](71)) && (l27 > placeholder[Long](72))) { l27 } else { placeholder[Long](73) }\n val bool29 = if (l28 > placeholder[Long](74)) {\n OUTPUTS.exists({(box29: Box) => (box29.value >= l28) && (box29.propositionBytes == placeholder[SigmaProp](75).propBytes) })\n } else { placeholder[Boolean](76) }\n val bool30 = if (l26 > placeholder[Long](77)) {\n CONTEXT.dataInputs.filter(\n {(box30: Box) =>\n ((blake2b256(box30.propositionBytes) == coll18) && (box30.tokens.size > placeholder[Int](78))) && coll13.exists(\n {(coll32: Coll[Byte]) => coll32 == box30.tokens(placeholder[Int](79))._1 }\n )\n }\n ).map({(box30: Box) => box30.R7[Coll[Byte]].get }).forall(\n {(coll30: Coll[Byte]) => OUTPUTS.exists({(box32: Box) => (box32.propositionBytes == coll30) && (box32.value >= l24) }) }\n )\n } else { placeholder[Boolean](80) }\n val prop31 = if (bool21) {(\n val coll31 = INPUTS.filter({(box31: Box) => (blake2b256(box31.propositionBytes) == coll6) && (box31.R5[Coll[Byte]].get == coll9) })\n if (coll31.size > placeholder[Int](81)) {(\n val coll32 = coll31(placeholder[Int](82)).R4[Coll[Byte]].get\n if (coll32.slice(placeholder[Int](83), placeholder[Int](84)) == coll19) {\n proveDlog(decodePoint(coll32.slice(placeholder[Int](85), coll32.size)))\n } else { sigmaProp(INPUTS.exists({(box33: Box) => box33.propositionBytes == coll32 })) }\n )} else { sigmaProp(placeholder[Boolean](86)) }\n )} else {\n if (coll20.slice(placeholder[Int](87), placeholder[Int](88)) == coll19) { proveDlog(decodePoint(coll20.slice(placeholder[Int](89), coll20.size))) } else {\n sigmaProp(INPUTS.exists({(box31: Box) => box31.propositionBytes == coll20 }))\n }\n }\n if (bool21) {(\n val coll32 = coll22.filter({(box32: Box) => box32.R5[Coll[Byte]].get == coll9 })\n if (coll32.size == placeholder[Int](90)) {(\n val box33 = coll32(placeholder[Int](91))\n val coll34 = box33.R9[Coll[Long]].get\n val coll35 = box33.R4[Coll[Byte]].get\n if (((coll34.fold(placeholder[Boolean](92), {(tuple36: (Boolean, Long)) =>\n val bool38 = tuple36._1\n if (bool38) { bool38 } else { if (blake2b256(box33.R7[Coll[Byte]].get.append(longToByteArray(tuple36._2)).append(box33.R8[Coll[Byte]].get).append(coll35).append(coll12)) == box33.R5[Coll[Byte]].get) { placeholder[Boolean](93) } else { bool38 } }\n }) && (box33.value >= l11)) && (box33.creationInfo._1.toLong < l10)) && (coll34.size <= placeholder[Int](94))) {(\n val l36 = l23 * l17 / placeholder[Long](95)\n val l37 = l23 - l36 - l26 - l28\n if (l37 >= placeholder[Long](96)) {\n prop31 && sigmaProp(\n (\n (\n OUTPUTS.exists(\n {(box38: Box) =>\n (((box38.value >= l37) && (box38.propositionBytes == coll35)) && (box38.tokens.size == placeholder[Int](97))) && (\n box38.tokens(placeholder[Int](98))._1 == coll7\n )\n }\n ) && OUTPUTS.exists({(box38: Box) => (box38.value >= l14 + l36) && (box38.propositionBytes == coll20) })\n ) && bool29\n ) && bool30\n )\n } else {\n prop31 && sigmaProp((OUTPUTS.exists({(box38: Box) => (box38.value >= l14 + l36 + l37) && (box38.propositionBytes == coll20) }) && bool29) && bool30)\n }\n )} else { sigmaProp(placeholder[Boolean](99)) }\n )} else { sigmaProp(placeholder[Boolean](100)) }\n )} else {\n prop31 && sigmaProp(\n (\n OUTPUTS.exists(\n {(box32: Box) =>\n (((box32.value >= l23 + l14 - l28 - l26) && (box32.propositionBytes == coll20)) && (box32.tokens.size == placeholder[Int](101))) && (\n box32.tokens(placeholder[Int](102))._1 == coll7\n )\n }\n ) && bool29\n ) && bool30\n )\n }\n )} else { sigmaProp(placeholder[Boolean](103)) }\n}",
"address": "UFbYJj8gCELaSoM3qRrpV3bpRcKARdLoSMjiWAzyeNJcqnGfbckZJ7qgZe1MZ47BKrbviW64Ufb9PbGvihmeMAPGCp7vtDSuFYmEQt7njbRQncmw548yoKSznAzbee4cSFgrct8pATx6VGzTvqbqVs1d1RNE7yEYz2tZFhSj9qxfyEzQvot8BExoBriSVo5NCuyU8kZuZe1vqcKkSwufFwEkeoV7FbSYhRqRp34uhnczWLBJ3JEZVTvy6QHF4knGcPv8gHYgCenR6YfnekLDoVFyzmGdoN3xGyFF8XRxx1Tc93mkQzpoFYkBnxckXZjGZvKJfGqzibQ9BEyZv7MtJx2LDE3ENnJu9Z1VfGyfZq85u5MwF9V6thgCJBRR8tiAqyAVcXyu1y7gg1qpkNpENeTuBDCSUXSQzCqMvzZPRe8noYV5ds2q5dQqotWsF88sPQmnDuUsxLVxr5SeffASS6EvzXdBRYiWj3PCpceqXEhBNjBrHVZkLJuvKfAzTegzjAY2fS5NqpfTKGriQrvHz9YfnyhouwYuX3HuUy7mPZ4g5hUuVY3KAptUSXYSnqvCfTMMcNP3AXo4KMP37TFW9ezqerNCqTBy1eZ1RWdnmYY5Q5rkkWJ5epbSwGLFBS7NUCs2gsVwRmswtcwmEnL85UgkD1ziSuNc7iiyaTyoZUhyFPS9d5NWUvoJdDwaomaF9X3Yug8oi3DjwRo69nZFoM2bJrB1ymggs6UUpJfZBdGp5ZMAAUW1ogiqodnWx28fkXqmu66onHNEAkaoY7xuNDffzTqt5BPkKfENemh1HM7qkE8tyoYR4isLFnE6Aw7daYbCd6kc86NsSxzS3yD2TSYorrfkGKYz7NDuHCJuhUEwbtJTXg5gGdaHZvdpsDMnJdZeALESm2nxyDx2AwHETq9VjYXzFJQTP6u9ALfFyX1mfoHQJmWvP4CJd5rTPSoewQAZRAbTsCCiNbnaZ5934EirCwn1k1tWTKR1yjkMDe4jSqKVSam2ttT7z2CdsogLG6Qk22FFopEw3sxrniqsYoJshFMr8hRizFJvZAjVZjQBLX2pzS2zPCnRLgfzhCVxJsPnkpoyGn1ApSqV2BstwtsnrDcByMkmiRYVx8CPfiPVBC55knoqCAt8jYJbqXMjo8kBtUDFsrKZdGuhPUstbBizW2k8EeQDVR2S94Mbj7Fn8kDkKQgWCnJDz2U8vGYbAfYNpACW7XfpueXzhJodm6wJN6345FnsPHre5GGdu9gyQciZTQZYZQcc7JGW9RSwRU9Dgi7v3kDKa7DUQxFTKGyVeVpdcQCHC1xUwxgZ3xZcrNTVtuzhTutjZyUKfBGHQJE8qVPg6F1DoYw3FG15E4SBHMSZ3s8CSE5wv5ZftVSoEADzfBHY9qPjU2XhnF6d4qAbGPzq479fD1VQM2g8ND3v87SKScFgLTxpzSEcMsLETwDY9y7zNYkL8mvrgDCxiAfZnD1rVGZQKvLMXr9fskV3ZmaFd3XaQamewGsXsTJAU2tvHzmEi6LbiGH4yuiSTPSvUqCLWGYGpvF4UuCdT5iJPGkXQgCtEAAw72uMGCDNRU8PsB8TAXpXptqj2Fk618WffCJrKEMJRpyNFAbMFQsLCTizay657mTWKCT38ZDf3SZf3cHjJ6QWNBwoxoFzYa9qmRmPdPgWvFq4uvRdNf87eD4xUNvGo7MhZF3dZzH5gckdPAEqmSmTHTP2AxMuVcatfS6qACoL5S6w6yaxmnpAWed2YYPhjWBJLskLFs8jHrRvAi7sAnntqAF5atPsKUD64CyLX9VekAe3fS64uAWMJi1hnmZcnZnSvSaD79wrfRQTZEEXm2N9RhVNK1dHcQrT5p3C5ag8sHjhv5YcYaobf2kCH5UbtuGhfMPbqNhGzp8Ztzumi5J38FoPjJAHRwPEVjut5vu2TCpafm7tvFntg9gy6EZanZttPYqTHXaN6ucaYaFeF1JNBzJMPVeT6Hk7GqXFr1VfDqYrmph85mZZeFuKxMciH2oiWdZbrgodukz1EYePEqGaNUepuoFKrpRZ21WajHr6V2Zz7wjNq1LVQDnrP1byG1qpHW9xkyhYKXxcGMD34HUXcKLZFZ9L2kWWmnyEjTjVXd6qRpmppGM1sKe3PS8FqKhm4W6ZDaQFUNrQxoKJWceWCbovuXhrkfSSPWcTjamAarDjdsYTMWYEV163fZCNAu8ppL39quQesQGx9LQAGfJbBQ9bFxUsi9sEfeiAmhoh8R93UVPfvfNHEQws1qAPm7qB2xqWbDHxsgSCUa4XyzKdwS795KqUVQ1DFGgWV1mik99i7LEiTDqwy6Sy6SznFRhZnLZY9o6cZUvS5EDpL5P9rwZ75K5uHg4gFxvwtAkPdbpTfMiiGkgAk7GYrMEGXQCt3kPervqPTYiqHMPW3kN6ecqRMinvNjZT7M6eYCzFqxt7vZJ55Dca5FDgeZoUvhx4Cco3PGrziR4EwRmNctmzhByTpYpeoCZdnn59ohGn1HWynmAREXKfWcp1HQipdfwohtFby9N5wcXkQ4MbooY5RmVCJBMmjqfaq7oLjoqCymRx7bw25MSCZCPDQgWkBL1ynbyX7YKquAtVFR7negcheCLCwVaqGdkx6Fys9Amieyfy9kqxPDqqqMtxG5GNPa6pq1Qaz2DDdb1iDxddmvHVLuDuP1hNsm6HdTgxaHVmgddCf3ZkSkTZ4NN5dSUyWb1cBnmrzuvj6DuhmdERXgQAyzY5cYFzKDqPQZqNziJucKYAKS2pEAGRPgfXha7XQTWrP725g38TWSTAoATV2BjfoYMEPs6PMLBwgvBvu1JKhqSxcS4nZ1qb4AX2gGjUxtU4zNKgfgGBaL9Tz13oxPiWj4S4Hp5ZS8QMv5wf4HbqxivZ9Ri3PQ5KW1BNh6u2rxXiEjYMhKWbvzd6o9sZ9gYCfHpsAQ8Ad78jitsoQX4wNn3NFxfnPqQRwu9hsVJ7DjHHafyaC1wnMUmi9zFbtBwiSAGeDSjbHQhqJFkYdhGD7pLEQxrWUGWufvJuS4rYxAcTTEAfD1qeZZNxqo9q9vbC7azptCwrPcRGvUV7eCc8T7Zp5AbzqqryCeoFdJKBmjq3gYkY8wWLRnRUAg6GnmZDub2RqqZMv5tjjYgAuuYdqcJARCZShKa4fxFyc3vAZgsqsfgDzC2xQ7Ke1QVhk6ukPASaAjntx9wA3czaitYpWADPS3WFudYBBLB4g4n4PGJ7ioXYzx9kXsFC",
"assets": [
{
"tokenId": "16288b26fee08ac011f9486177f91b9545434ed91e3d1ae29b413ecd9f71d45a",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "3c0e0e2035aa11186c18d3e04f81656248213a1a3c43e89a67045763287e644db60c3f2100",
"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[35aa11186c18d3e04f81656248213a1a3c43e89a67045763287e644db60c3f21,]"
},
"R6": {
"serializedValue": "1a0120758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9]"
},
"R8": {
"serializedValue": "4d0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b728",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7,20]"
},
"R7": {
"serializedValue": "110596f4c70180897a80897a28f4f4c701",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1637643,1000000,1000000,20,1637690]"
},
"R9": {
"serializedValue": "3c0e0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b79c017b227469746c65223a22536e616b65222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d7d",
"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7,7b227469746c65223a22536e616b65222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d7d]"
},
"R4": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "e1bb918a1cf2d361ea20dfc7c0a56f36ead6fd1f69f290d412fa8dc4b0e33fcc",
"transactionId": "569fbd4198bc45fac5ad2fed5da7be349751fabbec6d9cc1c3b0af700d9f6171",
"blockId": "7ea8869185f5a8582df6ec7161344de3b3641aea9444af98a2332bf91153afb5",
"value": 1100000,
"index": 1,
"globalIndex": 50974864,
"creationHeight": 1637650,
"settlementHeight": 1637651,
"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": "30659dbdfff6b74f2b561414044fe37fb30eea246c12578937dfc12c2f20ff7e",
"mainChain": true
},
{
"boxId": "961d9f245de3af73a3a8a700bf72566f1f8904e6c5d8e21598dfad35a324e389",
"transactionId": "569fbd4198bc45fac5ad2fed5da7be349751fabbec6d9cc1c3b0af700d9f6171",
"blockId": "7ea8869185f5a8582df6ec7161344de3b3641aea9444af98a2332bf91153afb5",
"value": 547864520,
"index": 2,
"globalIndex": 50974865,
"creationHeight": 1637650,
"settlementHeight": 1637651,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "e39a0caed9cb88e696d61057cdd54834e979e6adaa1f6537da162d05da6f7d0c",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "a0dda03db7197b89365b75b33c7488a5ee7908c8a28a36fa1b5c676a2b50d905",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "ac0bcdb8129f912eb367d28c419a219d29a7159d22e8f2dbb6176e05a7316342",
"index": 2,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "1445e0c5a021293aa4a1aeff00782302ee281979c372ce508b7f584a6ffba61f",
"index": 3,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "cdca7d850f29ccf7bc66409ce9139229a29f8d2cdd8374263fa57dff97502216",
"index": 4,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "8821752e5972bcf3cb98f1a19f13e7fe440cccbe4facf3a234b6b838cc70be84",
"index": 5,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 6,
"amount": 96951098,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 7,
"amount": 999899774500,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2c5d596d617aaafe16f3f58b2c562d046eda658f0243dc1119614160d92a4717",
"index": 8,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "70d0e8e56699ca4c61488f421d9eda77e77e180b7ec94115a2b325f36d5984d7",
"index": 9,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "469632d31f1762c604fb5605f17a6a3acea25dc0c0acd9ed9c99a9657a39ef13",
"index": 10,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 11,
"amount": 61056,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 12,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 13,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "a6b3df8edc3223975b49247b425e69a85cb45f3c7a94668ba89c890f2f0d2194",
"index": 14,
"amount": 8000,
"name": "TEST DEV 50 PERCENT APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2293d454406cc0f3b6a7c63db90fc989b4065204d4b101f8fe155d1d65c283ff",
"index": 15,
"amount": 10000,
"name": "TEST FULL WITHDRAW V3 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "50f7276d622ac22873b0c6dfee16146084e894c2ab2aa5631e2f60efb9957f18",
"index": 16,
"amount": 99981000,
"name": "TGD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "950e6f63aab88d72048da7d561efcb1bad568bc7a82fe3cc26ea729619cc3d9f",
"index": 17,
"amount": 7000,
"name": "Test project for 1.2 V1 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
"index": 18,
"amount": 1,
"name": "🚬",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ef0199cb118810aa3b35b5b071d2f417bdc6c27e985bbd425a1f04d31a12a59b",
"index": 19,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "44f3f0b7ebb5369965908aaa586ed811f62c1688e6ae375b7af523cba0027ea6",
"index": 20,
"amount": 37,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {},
"spentTransactionId": "f2d67501b7523f9784fbc9d98a74db7b4182af68abf815cb94c7cb1e99db0cb8",
"mainChain": true
}
],
"size": 3831,
"isUnconfirmed": false
}