Transaction
ID: 04a9e10a99...1e7a
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0218 ERG
Tokens:
2
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0096 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0022 ERG
Transaction Details
Confirmations: 3,470
Total coins transferred: 0.0218 ERG
Fees: 0.0022 ERG
Fees per byte: 0.000000556 ERG
Raw Transaction Data
{
"id": "04a9e10a99295c2b07b69d1c975b4ece4d8de5b07849d5140ca68ba3bcb81e7a",
"blockId": "7e9f7767c5c1351000e8ba9fd0e6abe20b972e115fdf2712e22dbabf6b03fb04",
"inclusionHeight": 1756787,
"timestamp": 1775316453308,
"index": 3,
"globalIndex": 10546317,
"numConfirmations": 3470,
"inputs": [
{
"boxId": "b9c7fe6d375e001f833fe3c4a38cadbf57366b8ce003925c3a9fe81217764932",
"value": 21800000,
"index": 0,
"spendingProof": "46723230926ac843a748dbe0198abfa2ecd09bcf447a4ae4477e64376e2a44295c22025afc5137a503f519f850050bddb3562edbfd6be72c",
"outputBlockId": "e486eb341fbdb5f68890c634abf7c2c9e5ae6eb7fe9c55b1420d89f3943c36e0",
"outputTransactionId": "bb8b293f25f1f8a28553b4a82276d96ecfda55f25211d41a7b4c576c8d46b52b",
"outputIndex": 0,
"outputGlobalIndex": 54528917,
"outputCreatedAt": 1756780,
"outputSettledAt": 1756781,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 8\n5: 7\n6: Coll(-22,123,54,-30,-108,-79,-87,84,-88,7,82,-22,-62,-120,113,23,40,-27,-71,27,11,60,5,-106,84,-116,117,86,101,5,11,-120)\n7: 0\n8: Coll(-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105)\n9: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\n10: 10\n11: 4\n12: 6\n13: 1000000\n14: false\n15: 5\n16: 0\n17: 2\n18: 1\n19: 9\n20: 1\n21: 1\n22: 0\n23: 1\n24: 3\n25: 720\n26: 1\n27: 0\n28: 0\n29: 1\n30: 0\n31: 1\n32: 2\n33: 1\n34: 3\n35: 0\n36: 1000000\n37: 0\n38: 0\n39: 0\n40: 17\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 0\n48: 0\n49: 1000\n50: 100\n51: 1000\n52: 0\n53: 100\n54: 0\n55: 2\n56: 0\n57: 17\n58: 0\n59: 1000000\n60: 0\n61: 1\n62: 2\n63: 17\n64: 0\n65: 17\n66: 1000000\n67: 0\n68: 3\n69: 2000000\n70: 1\n71: 1\n72: 1\n73: 1\n74: 2\n75: 1\n76: 1000000\n77: 0\n78: 1\n79: 2\n80: 1\n81: 0\n82: false\n83: 1\n84: 3\n85: 11\n86: 11\n87: 0\n88: 0\n89: 1\n90: 1000000\n91: 1000000\n92: 1\n93: 1000000\n94: 1\n95: 12\n96: 12\n97: 0\n98: Coll(16,17,4,0,4,0,4,0,4,0,4,0,5,0,4,2,14,32,-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105,4,0,4,2,5,-48,15,5,0,5,0,1,1,5,0,4,4,1,1,-40,12,-42,1,-78,-37,99,8,-89,115,0,0,-42,2,-78,-91,115,1,0,-42,3,-37,99,8,114,2,-42,4,-107,-19,-111)\n99: Coll(16,17,4,0,4,0,4,0,4,0,4,0,5,0,4,2,14,32,3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4,4,0,4,2,5,-48,15,5,0,5,0,1,1,5,0,4,4,1,1,-40,12,-42,1,-78,-37,99,8,-89,115,0,0,-42,2,-78,-91,115,1,0,-42,3,-37,99,8,114,2,-42,4,-107,-19,-111)\n100: 0\n101: 0\n102: 1000000\n103: false\n104: 0\n105: 0\n106: 0\n107: 0\n108: 0\n109: 1000000\n110: 1000000\n111: 0\n112: 0\n113: 1000\n114: 0\n115: 17\n116: 0\n117: 17\n118: 2\n119: 1\n120: 2\n121: 0\n122: true\n123: 1\n124: 2\n125: 0\n126: true\n127: false\n128: 1\n129: 0\n130: 1\n131: 0\n132: 0\n133: 0\n134: 0\n135: 1000000\n136: 0\n137: Coll(49,-126,103,79,7,-37,-71,-115,105,109,56,-19,-91,62,99,-21,59,-11,-2,87,15,113,-34,-24,94,-71,84,-42,-49,-112,59,-70)\n138: 0\n139: 0\n140: 0\n141: true\n142: false\n143: 2\n144: false",
"ergoTreeScript": "{\n val coll1 = SELF.R9[Coll[Coll[Byte]]].get\n val prop2 = proveDlog(decodePoint(coll1(placeholder[Int](0))))\n val coll3 = SELF.tokens\n val tuple4 = (Coll[Byte](), placeholder[Long](1))\n val tuple5 = coll3.getOrElse(placeholder[Int](2), tuple4)\n val coll6 = tuple5._1\n val coll7 = SELF.R7[Coll[Byte]].get\n val bool8 = coll6 == coll7\n val bool9 = !bool8\n val box10 = OUTPUTS(placeholder[Int](3))\n val coll11 = box10.propositionBytes\n val coll12 = prop2.propBytes\n val coll13 = SELF.R8[Coll[Long]].get\n val l14 = coll13(placeholder[Int](4))\n val l15 = coll13(placeholder[Int](5))\n val coll16 = placeholder[Coll[Byte]](6)\n val l17 = coll13(placeholder[Int](7))\n val coll18 = placeholder[Coll[Byte]](8)\n val coll19 = placeholder[Coll[Byte]](9)\n val l20 = coll13(placeholder[Int](10))\n val l21 = coll13(placeholder[Int](11))\n val l22 = coll13(placeholder[Int](12))\n val l23 = l22 + placeholder[Long](13)\n val coll24 = SELF.R5[Coll[Byte]].get\n val bool25 = if (coll11 == SELF.propositionBytes) {\n (\n (\n (((box10.value >= l23) && (box10.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)) && (box10.R5[Coll[Byte]].get == coll24)) && (\n box10.R6[Coll[Byte]].get == SELF.R6[Coll[Byte]].get\n )\n ) && (box10.R8[Coll[Long]].get == coll13)\n ) && (box10.R9[Coll[Coll[Byte]]].get == coll1)\n } else { placeholder[Boolean](14) }\n val coll26 = SELF.id\n val l27 = coll13(placeholder[Int](15))\n val coll28 = box10.tokens\n val tuple29 = coll28.getOrElse(placeholder[Int](16), tuple4)\n val coll30 = tuple29._1\n val l31 = coll13(placeholder[Int](17))\n val tuple32 = coll28.getOrElse(placeholder[Int](18), tuple4)\n val l33 = tuple5._2\n val l34 = tuple29._2\n val coll35 = tuple32._1\n val l36 = coll13(placeholder[Int](19))\n val box37 = OUTPUTS(placeholder[Int](20))\n val coll38 = box37.tokens\n val bool39 = bool8 && (l33 == placeholder[Long](21))\n val i40 = coll13.size\n val tuple41 = coll38.getOrElse(placeholder[Int](22), tuple4)\n val tuple42 = coll3.getOrElse(placeholder[Int](23), tuple4)\n val l43 = HEIGHT.toLong\n val l44 = coll13(placeholder[Int](24))\n val l45 = l44 + placeholder[Long](25)\n val bool46 = if (coll13(placeholder[Int](26)) == placeholder[Long](27)) { (bool39 && (l43 >= l44)) && (l43 <= l45) } else { bool39 && (l43 <= l45) }\n val l47 = INPUTS.fold(placeholder[Long](28), {(tuple47: (Long, Box)) =>\n val box49 = tuple47._2\n val l50 = tuple47._1\n if (box49.id != coll26) { box49.tokens.fold(l50, {(tuple51: (Long, (Coll[Byte], Long))) =>\n val tuple53 = tuple51._2\n val l54 = tuple51._1\n if (tuple53._1 == coll7) { l54 + tuple53._2 } else { l54 }\n }) } else { l50 }\n })\n val bool48 = ((bool25 && (box10.R7[Coll[Byte]].get == coll7)) && \n val coll48 = coll30\n coll48 == coll6\n ) && (l34 == placeholder[Long](29))\n val bool49 = OUTPUTS.fold(placeholder[Long](30), {(tuple49: (Long, Box)) => tuple49._2.tokens.fold(tuple49._1, {(tuple51: (Long, (Coll[Byte], Long))) =>\n val tuple53 = tuple51._2\n val l54 = tuple51._1\n if (tuple53._1 == coll7) { l54 + tuple53._2 } else { l54 }\n }) }) == placeholder[Long](31)\n val l50 = tuple32._2\n prop2 && sigmaProp((bool9 && (OUTPUTS.size == placeholder[Int](32))) && (coll11 == coll12)) || sigmaProp(\n (((if ((bool9 && (INPUTS.size == placeholder[Int](33))) && (OUTPUTS.size == placeholder[Int](34))) {(\n val bool51 = l14 == placeholder[Long](35)\n val l52 = l21 * l20 / placeholder[Long](36)\n val bool53 = l52 > placeholder[Long](37)\n ((((((((((if (bool51) {(\n val box54 = CONTEXT.dataInputs(placeholder[Int](38))\n val i55 = l15.toInt\n val l56 = box54.R5[Coll[Long]].get(i55)\n val bool57 = box54.tokens(placeholder[Int](39))._1 == coll16\n val coll58 = box54.R4[Coll[Coll[Byte]]].get(i55)\n if (l15 == placeholder[Long](40)) { bool57 && (l56 > placeholder[Long](41)) } else { if (l17 == placeholder[Long](42)) { ((bool57 && (coll58.size > placeholder[Int](43))) && (l56 > placeholder[Long](44))) && (coll3(placeholder[Int](45))._1 == coll58) } else { (bool57 && (coll58.size > placeholder[Int](46))) && (l56 > placeholder[Long](47)) } }\n )} else {(\n val coll54 = coll3(placeholder[Int](48))._1\n (coll54 == coll18) || (coll54 == coll19)\n )} && if (bool51) { (l20 == placeholder[Long](49)) || (l20 == placeholder[Long](50)) } else { ((l20 == placeholder[Long](51)) && (coll3(placeholder[Int](52))._1 == coll18)) || ((l20 == placeholder[Long](53)) && (coll3(placeholder[Int](54))._1 == coll19)) }) && bool53) && bool25) && (box10.R7[Coll[Byte]].get == coll26)) && (box10.value == SELF.value - l22 - l27)) && (box10.value >= placeholder[Long](55) * l23)) && (coll30 == coll26)) && \n val bool54 = l17 == placeholder[Long](56)\n (((((bool54 && bool51) && (l15 != placeholder[Long](57))) && \n val l55 = l31 * CONTEXT.dataInputs(placeholder[Int](58)).R5[Coll[Long]].get(l15.toInt) / placeholder[Long](59)\n ((((l55 > placeholder[Long](60)) && \n val coll56 = coll35\n coll56 == coll24\n ) && (tuple32 == tuple5)) && (l34 == l33 / l55 + placeholder[Long](61))) && (coll28.size == placeholder[Int](62))\n ) || (((bool54 && bool51) && (l15 == placeholder[Long](63))) && \n val l55 = l31 * CONTEXT.dataInputs(placeholder[Int](64)).R5[Coll[Long]].get(placeholder[Int](65)) / placeholder[Long](66)\n val l56 = SELF.value\n (((l55 > placeholder[Long](67)) && (l34 == l56 - placeholder[Long](68) * l22 - l27 - placeholder[Long](69) / l55 + placeholder[Long](70))) && (coll28.size == placeholder[Int](71))) && (box10.value >= l56 - l22 - l27)\n )) || (((((((l17 == placeholder[Long](72)) && bool51) && (coll35 == coll24)) && (tuple32 == tuple5)) && bool53) && (l34 == l33 / l52 + placeholder[Long](73))) && (coll28.size == placeholder[Int](74)))) || ((l14 == placeholder[Long](75)) && \n val l55 = l36 * l20 / placeholder[Long](76)\n ((((l55 > placeholder[Long](77)) && (coll35 == coll24)) && (tuple32 == tuple5)) && (l34 == l33 / l55 + placeholder[Long](78))) && (coll28.size == placeholder[Int](79))\n )\n ) && (box37.propositionBytes == coll1(placeholder[Int](80)))) && (coll38.size == placeholder[Int](81))) && (box37.value >= l27)\n )} else { placeholder[Boolean](82) } || if (((bool8 && (!bool39)) && (INPUTS.size == placeholder[Int](83))) && (OUTPUTS.size == placeholder[Int](84))) {(\n val bool51 = if (i40 > placeholder[Int](85)) { coll13(placeholder[Int](86)) } else { placeholder[Long](87) } == placeholder[Long](88)\n val bool52 = (tuple41._1 == coll6) && (tuple41._2 == l33 - placeholder[Long](89))\n val bool53 = (((((box10.value == SELF.value - l22 - if (bool51) { placeholder[Long](90) } else { placeholder[Long](91) + l22 }) && bool25) && (box10.R7[Coll[Byte]].get == coll7)) && (coll30 == coll6)) && (l34 == placeholder[Long](92))) && (tuple32 == tuple42)\n if (bool51) { (((bool53 && bool52) && (box37.propositionBytes == coll12)) && (box37.value == placeholder[Long](93))) && (coll38.size == placeholder[Int](94)) } else {(\n val coll54 = box37.propositionBytes\n val l55 = if (i40 > placeholder[Int](95)) { coll13(placeholder[Int](96)) } else { placeholder[Long](97) }\n ((((bool53 && bool52) && ((coll54 == placeholder[Coll[Byte]](98)) || (coll54 == placeholder[Coll[Byte]](99)))) && (box37.R4[SigmaProp].get == prop2)) && ((box37.R5[Coll[Long]].get(placeholder[Int](100)) == l55) && (l55 > placeholder[Long](101)))) && (box37.value >= placeholder[Long](102) + l22)\n )}\n )} else { placeholder[Boolean](103) }) || if ((bool46 && (l14 == placeholder[Long](104))) && (l47 > placeholder[Long](105))) {(\n val box51 = CONTEXT.dataInputs(placeholder[Int](106))\n val i52 = l15.toInt\n val l53 = box51.R5[Coll[Long]].get(i52)\n val bool54 = l53 > placeholder[Long](107)\n val bool55 = box51.tokens(placeholder[Int](108))._1 == coll16\n val l56 = l31 * l53 / placeholder[Long](109)\n val l57 = l21 * l20 / placeholder[Long](110)\n val bool58 = (l56 > placeholder[Long](111)) && (l57 > placeholder[Long](112))\n val l59 = l56 * l47\n val coll60 = if (l20 == placeholder[Long](113)) { coll18 } else { coll19 }\n val l61 = l57 * l47\n val coll62 = box51.R4[Coll[Coll[Byte]]].get(i52)\n val bool63 = (coll62.size > placeholder[Int](114)) || (l15 == placeholder[Long](115))\n if (l17 == placeholder[Long](116)) { if (l15 == placeholder[Long](117)) {(\n val box64 = OUTPUTS(placeholder[Int](118))\n ((((((bool55 && bool54) && bool58) && (box37.value >= l59)) && ((box64.propositionBytes == coll12) && box64.tokens.exists({(tuple65: (Coll[Byte], Long)) => (tuple65._1 == coll60) && (tuple65._2 >= l61) }))) && bool48) && bool49) && (box10.value >= SELF.value - l59 - l22)\n )} else {(\n val tuple64 = coll3(placeholder[Int](119))\n val box65 = OUTPUTS(placeholder[Int](120))\n ((((((((((bool55 && bool63) && bool54) && bool58) && (tuple64._1 == coll62)) && coll38.exists({(tuple66: (Coll[Byte], Long)) => (tuple66._1 == coll62) && (tuple66._2 >= l59) })) && ((box65.propositionBytes == coll12) && box65.tokens.exists({(tuple66: (Coll[Byte], Long)) => (tuple66._1 == coll60) && (tuple66._2 >= l61) }))) && if (l50 > placeholder[Long](121)) { coll35 == coll62 } else { placeholder[Boolean](122) }) && bool48) && bool49) && (box10.value >= SELF.value - l22)) && (l50 >= tuple64._2 - l59)\n )} } else {(\n val tuple64 = coll3(placeholder[Int](123))\n val coll65 = tuple64._1\n val box66 = OUTPUTS(placeholder[Int](124))\n ((((((((((bool55 && bool63) && bool54) && bool58) && ((coll65 == coll18) || (coll65 == coll19))) && coll38.exists({(tuple67: (Coll[Byte], Long)) => (tuple67._1 == coll65) && (tuple67._2 >= l61) })) && ((box66.propositionBytes == coll12) && box66.tokens.exists({(tuple67: (Coll[Byte], Long)) => (tuple67._1 == coll62) && (tuple67._2 >= l59) }))) && if (l50 > placeholder[Long](125)) { coll35 == coll65 } else { placeholder[Boolean](126) }) && bool48) && bool49) && (box10.value >= SELF.value - l22)) && (l50 >= tuple64._2 - l61)\n )}\n )} else { placeholder[Boolean](127) }) || if ((bool46 && (l14 == placeholder[Long](128))) && (l47 > placeholder[Long](129))) {(\n val tuple51 = coll3(placeholder[Int](130))\n val coll52 = tuple51._1\n val box53 = CONTEXT.dataInputs(placeholder[Int](131))\n val l54 = box53.R8[Coll[Long]].get(l15.toInt)\n val l55 = if (l17 == placeholder[Long](132)) { if (l54 > l21) {(\n val l55 = l54 - l21\n if (l55 > l36) { l36 } else { l55 }\n )} else { placeholder[Long](133) } } else { if (l54 < l21) {(\n val l55 = l21 - l54\n if (l55 > l36) { l36 } else { l55 }\n )} else { placeholder[Long](134) } }\n val l56 = l55 * l20 / placeholder[Long](135)\n val l57 = l56 * l47\n ((((((((((coll52 == coll18) || (coll52 == coll19)) && (box53.tokens(placeholder[Int](136))._1 == placeholder[Coll[Byte]](137))) && (l55 > placeholder[Long](138))) && (l56 > placeholder[Long](139))) && coll38.exists({(tuple58: (Coll[Byte], Long)) => (tuple58._1 == coll52) && (tuple58._2 >= l57) })) && if (l50 > placeholder[Long](140)) { coll35 == coll52 } else { placeholder[Boolean](141) }) && bool48) && bool49) && (box10.value >= SELF.value - l22)) && (l50 >= tuple51._2 - l57)\n )} else { placeholder[Boolean](142) }) || if (l43 > l45) {\n ((((OUTPUTS.size == placeholder[Int](143)) && (coll11 == coll12)) && (box10.value >= SELF.value - l22)) && (coll30 == tuple42._1)) && (l34 == tuple42._2)\n } else { placeholder[Boolean](144) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297",
"index": 0,
"amount": 2000000,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
}
],
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"R7": {
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"R4": {
"serializedValue": "0e0e4144412043616c6c2024302e3234",
"sigmaType": "Coll[SByte]",
"renderedValue": "4144412043616c6c2024302e3234"
}
}
}
],
"dataInputs": [
{
"boxId": "ac99a1eadde51e62cb48b85731e46ef56136a0a2c2c0d035416475f79e736ef0",
"value": 150000000,
"index": 0,
"outputBlockId": "a0572fca9270bb8f8253e852730a68dadb254a03b7e96cfd573736e51e63a85e",
"outputTransactionId": "16ac127b686954c7163ac83517e271083b90f1e79438d8a2fe08236efef46552",
"outputIndex": 0,
"ergoTree": "10040e20ea7b36e294b1a954a80752eac288711728e5b91b0b3c0596548c755665050b88040004000400d804d6017300d602b2a5730100d603b1e4c67202041ad604b1e4c672020511ea02d1ededededededed938cb2db6308a7730200017201938cb2db6308720273030001720193c27202c2a7927203b1e4c6a7041a927204b1e4c6a70511937203720492c17202c1a7e6c672020608e4c6a70608",
"address": "QqJr1n1xDwmVKHreupY52BAX35qjNng6DCjpvB2dUpqTWaBxXtHJvuY5qFYg25xQ8fQ7kFdodBmXqGDAoRcsJHoaTt4MvjCyAz2hJPpG1Br9o3YBwoFvJyufMSjTwbSVGrPKSxPq9f1TBpJuthgw7rMgd6DDwDndMyiQ4M9wnm9FXuup12EzDTZavsJ1D6bPD81eS1iR6ppRNcVyEbAr95kRkry",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a1520203ef3066a912f35c488487cc2cb94bdb0d30680dab22551c7e6fdbc70dfcc8e207a51950e5f548549ec1aa63ffdc38279505b11e7e803d01bcf8347e0123c88b020050322548722d36f094e341f59ed93eb22118b363eb4efe8c461a52c4d93e2c32048132396ebd00831e603c73cf01e01f248dd1966d2cc976caf52ef76f7ac6e3620e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c29700000000000000000000000000206122f7289e7bb2df2de273e09d4b2756cda6aeb0f40438dc9d257688f45183ad0000",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[203ef3066a912f35c488487cc2cb94bdb0d30680dab22551c7e6fdbc70dfcc8e,7a51950e5f548549ec1aa63ffdc38279505b11e7e803d01bcf8347e0123c88b0,050322548722d36f094e341f59ed93eb22118b363eb4efe8c461a52c4d93e2c3,48132396ebd00831e603c73cf01e01f248dd1966d2cc976caf52ef76f7ac6e36,e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297,,,,,,,,,,,,,,6122f7289e7bb2df2de273e09d4b2756cda6aeb0f40438dc9d257688f45183ad,,]"
},
"R5": {
"serializedValue": "111580a8d6b9078084af5f80a8d6b90780897a80897a00000000000000000000000080a8d6b907fee5030000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000000,100000000,1000000000,1000000,1000000,0,0,0,0,0,0,0,0,0,0,0,0,1000000000,31103,0,0]"
},
"R6": {
"serializedValue": "08cd03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b",
"sigmaType": "SSigmaProp",
"renderedValue": "03bda2691a9f1a2adf122741390847e7dae2c75bd2eb3a0dc896388d4ec3e9577b"
}
}
}
],
"outputs": [
{
"boxId": "b2e7709a354d9b61f3d2ce10e88f9944123d758bef4983168bed2bdef97a5be2",
"transactionId": "04a9e10a99295c2b07b69d1c975b4ece4d8de5b07849d5140ca68ba3bcb81e7a",
"blockId": "7e9f7767c5c1351000e8ba9fd0e6abe20b972e115fdf2712e22dbabf6b03fb04",
"value": 9600000,
"index": 0,
"globalIndex": 54529066,
"creationHeight": 1756786,
"settlementHeight": 1756787,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 8\n5: 7\n6: Coll(-22,123,54,-30,-108,-79,-87,84,-88,7,82,-22,-62,-120,113,23,40,-27,-71,27,11,60,5,-106,84,-116,117,86,101,5,11,-120)\n7: 0\n8: Coll(-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105)\n9: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\n10: 10\n11: 4\n12: 6\n13: 1000000\n14: false\n15: 5\n16: 0\n17: 2\n18: 1\n19: 9\n20: 1\n21: 1\n22: 0\n23: 1\n24: 3\n25: 720\n26: 1\n27: 0\n28: 0\n29: 1\n30: 0\n31: 1\n32: 2\n33: 1\n34: 3\n35: 0\n36: 1000000\n37: 0\n38: 0\n39: 0\n40: 17\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 0\n48: 0\n49: 1000\n50: 100\n51: 1000\n52: 0\n53: 100\n54: 0\n55: 2\n56: 0\n57: 17\n58: 0\n59: 1000000\n60: 0\n61: 1\n62: 2\n63: 17\n64: 0\n65: 17\n66: 1000000\n67: 0\n68: 3\n69: 2000000\n70: 1\n71: 1\n72: 1\n73: 1\n74: 2\n75: 1\n76: 1000000\n77: 0\n78: 1\n79: 2\n80: 1\n81: 0\n82: false\n83: 1\n84: 3\n85: 11\n86: 11\n87: 0\n88: 0\n89: 1\n90: 1000000\n91: 1000000\n92: 1\n93: 1000000\n94: 1\n95: 12\n96: 12\n97: 0\n98: Coll(16,17,4,0,4,0,4,0,4,0,4,0,5,0,4,2,14,32,-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105,4,0,4,2,5,-48,15,5,0,5,0,1,1,5,0,4,4,1,1,-40,12,-42,1,-78,-37,99,8,-89,115,0,0,-42,2,-78,-91,115,1,0,-42,3,-37,99,8,114,2,-42,4,-107,-19,-111)\n99: Coll(16,17,4,0,4,0,4,0,4,0,4,0,5,0,4,2,14,32,3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4,4,0,4,2,5,-48,15,5,0,5,0,1,1,5,0,4,4,1,1,-40,12,-42,1,-78,-37,99,8,-89,115,0,0,-42,2,-78,-91,115,1,0,-42,3,-37,99,8,114,2,-42,4,-107,-19,-111)\n100: 0\n101: 0\n102: 1000000\n103: false\n104: 0\n105: 0\n106: 0\n107: 0\n108: 0\n109: 1000000\n110: 1000000\n111: 0\n112: 0\n113: 1000\n114: 0\n115: 17\n116: 0\n117: 17\n118: 2\n119: 1\n120: 2\n121: 0\n122: true\n123: 1\n124: 2\n125: 0\n126: true\n127: false\n128: 1\n129: 0\n130: 1\n131: 0\n132: 0\n133: 0\n134: 0\n135: 1000000\n136: 0\n137: Coll(49,-126,103,79,7,-37,-71,-115,105,109,56,-19,-91,62,99,-21,59,-11,-2,87,15,113,-34,-24,94,-71,84,-42,-49,-112,59,-70)\n138: 0\n139: 0\n140: 0\n141: true\n142: false\n143: 2\n144: false",
"ergoTreeScript": "{\n val coll1 = SELF.R9[Coll[Coll[Byte]]].get\n val prop2 = proveDlog(decodePoint(coll1(placeholder[Int](0))))\n val coll3 = SELF.tokens\n val tuple4 = (Coll[Byte](), placeholder[Long](1))\n val tuple5 = coll3.getOrElse(placeholder[Int](2), tuple4)\n val coll6 = tuple5._1\n val coll7 = SELF.R7[Coll[Byte]].get\n val bool8 = coll6 == coll7\n val bool9 = !bool8\n val box10 = OUTPUTS(placeholder[Int](3))\n val coll11 = box10.propositionBytes\n val coll12 = prop2.propBytes\n val coll13 = SELF.R8[Coll[Long]].get\n val l14 = coll13(placeholder[Int](4))\n val l15 = coll13(placeholder[Int](5))\n val coll16 = placeholder[Coll[Byte]](6)\n val l17 = coll13(placeholder[Int](7))\n val coll18 = placeholder[Coll[Byte]](8)\n val coll19 = placeholder[Coll[Byte]](9)\n val l20 = coll13(placeholder[Int](10))\n val l21 = coll13(placeholder[Int](11))\n val l22 = coll13(placeholder[Int](12))\n val l23 = l22 + placeholder[Long](13)\n val coll24 = SELF.R5[Coll[Byte]].get\n val bool25 = if (coll11 == SELF.propositionBytes) {\n (\n (\n (((box10.value >= l23) && (box10.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)) && (box10.R5[Coll[Byte]].get == coll24)) && (\n box10.R6[Coll[Byte]].get == SELF.R6[Coll[Byte]].get\n )\n ) && (box10.R8[Coll[Long]].get == coll13)\n ) && (box10.R9[Coll[Coll[Byte]]].get == coll1)\n } else { placeholder[Boolean](14) }\n val coll26 = SELF.id\n val l27 = coll13(placeholder[Int](15))\n val coll28 = box10.tokens\n val tuple29 = coll28.getOrElse(placeholder[Int](16), tuple4)\n val coll30 = tuple29._1\n val l31 = coll13(placeholder[Int](17))\n val tuple32 = coll28.getOrElse(placeholder[Int](18), tuple4)\n val l33 = tuple5._2\n val l34 = tuple29._2\n val coll35 = tuple32._1\n val l36 = coll13(placeholder[Int](19))\n val box37 = OUTPUTS(placeholder[Int](20))\n val coll38 = box37.tokens\n val bool39 = bool8 && (l33 == placeholder[Long](21))\n val i40 = coll13.size\n val tuple41 = coll38.getOrElse(placeholder[Int](22), tuple4)\n val tuple42 = coll3.getOrElse(placeholder[Int](23), tuple4)\n val l43 = HEIGHT.toLong\n val l44 = coll13(placeholder[Int](24))\n val l45 = l44 + placeholder[Long](25)\n val bool46 = if (coll13(placeholder[Int](26)) == placeholder[Long](27)) { (bool39 && (l43 >= l44)) && (l43 <= l45) } else { bool39 && (l43 <= l45) }\n val l47 = INPUTS.fold(placeholder[Long](28), {(tuple47: (Long, Box)) =>\n val box49 = tuple47._2\n val l50 = tuple47._1\n if (box49.id != coll26) { box49.tokens.fold(l50, {(tuple51: (Long, (Coll[Byte], Long))) =>\n val tuple53 = tuple51._2\n val l54 = tuple51._1\n if (tuple53._1 == coll7) { l54 + tuple53._2 } else { l54 }\n }) } else { l50 }\n })\n val bool48 = ((bool25 && (box10.R7[Coll[Byte]].get == coll7)) && \n val coll48 = coll30\n coll48 == coll6\n ) && (l34 == placeholder[Long](29))\n val bool49 = OUTPUTS.fold(placeholder[Long](30), {(tuple49: (Long, Box)) => tuple49._2.tokens.fold(tuple49._1, {(tuple51: (Long, (Coll[Byte], Long))) =>\n val tuple53 = tuple51._2\n val l54 = tuple51._1\n if (tuple53._1 == coll7) { l54 + tuple53._2 } else { l54 }\n }) }) == placeholder[Long](31)\n val l50 = tuple32._2\n prop2 && sigmaProp((bool9 && (OUTPUTS.size == placeholder[Int](32))) && (coll11 == coll12)) || sigmaProp(\n (((if ((bool9 && (INPUTS.size == placeholder[Int](33))) && (OUTPUTS.size == placeholder[Int](34))) {(\n val bool51 = l14 == placeholder[Long](35)\n val l52 = l21 * l20 / placeholder[Long](36)\n val bool53 = l52 > placeholder[Long](37)\n ((((((((((if (bool51) {(\n val box54 = CONTEXT.dataInputs(placeholder[Int](38))\n val i55 = l15.toInt\n val l56 = box54.R5[Coll[Long]].get(i55)\n val bool57 = box54.tokens(placeholder[Int](39))._1 == coll16\n val coll58 = box54.R4[Coll[Coll[Byte]]].get(i55)\n if (l15 == placeholder[Long](40)) { bool57 && (l56 > placeholder[Long](41)) } else { if (l17 == placeholder[Long](42)) { ((bool57 && (coll58.size > placeholder[Int](43))) && (l56 > placeholder[Long](44))) && (coll3(placeholder[Int](45))._1 == coll58) } else { (bool57 && (coll58.size > placeholder[Int](46))) && (l56 > placeholder[Long](47)) } }\n )} else {(\n val coll54 = coll3(placeholder[Int](48))._1\n (coll54 == coll18) || (coll54 == coll19)\n )} && if (bool51) { (l20 == placeholder[Long](49)) || (l20 == placeholder[Long](50)) } else { ((l20 == placeholder[Long](51)) && (coll3(placeholder[Int](52))._1 == coll18)) || ((l20 == placeholder[Long](53)) && (coll3(placeholder[Int](54))._1 == coll19)) }) && bool53) && bool25) && (box10.R7[Coll[Byte]].get == coll26)) && (box10.value == SELF.value - l22 - l27)) && (box10.value >= placeholder[Long](55) * l23)) && (coll30 == coll26)) && \n val bool54 = l17 == placeholder[Long](56)\n (((((bool54 && bool51) && (l15 != placeholder[Long](57))) && \n val l55 = l31 * CONTEXT.dataInputs(placeholder[Int](58)).R5[Coll[Long]].get(l15.toInt) / placeholder[Long](59)\n ((((l55 > placeholder[Long](60)) && \n val coll56 = coll35\n coll56 == coll24\n ) && (tuple32 == tuple5)) && (l34 == l33 / l55 + placeholder[Long](61))) && (coll28.size == placeholder[Int](62))\n ) || (((bool54 && bool51) && (l15 == placeholder[Long](63))) && \n val l55 = l31 * CONTEXT.dataInputs(placeholder[Int](64)).R5[Coll[Long]].get(placeholder[Int](65)) / placeholder[Long](66)\n val l56 = SELF.value\n (((l55 > placeholder[Long](67)) && (l34 == l56 - placeholder[Long](68) * l22 - l27 - placeholder[Long](69) / l55 + placeholder[Long](70))) && (coll28.size == placeholder[Int](71))) && (box10.value >= l56 - l22 - l27)\n )) || (((((((l17 == placeholder[Long](72)) && bool51) && (coll35 == coll24)) && (tuple32 == tuple5)) && bool53) && (l34 == l33 / l52 + placeholder[Long](73))) && (coll28.size == placeholder[Int](74)))) || ((l14 == placeholder[Long](75)) && \n val l55 = l36 * l20 / placeholder[Long](76)\n ((((l55 > placeholder[Long](77)) && (coll35 == coll24)) && (tuple32 == tuple5)) && (l34 == l33 / l55 + placeholder[Long](78))) && (coll28.size == placeholder[Int](79))\n )\n ) && (box37.propositionBytes == coll1(placeholder[Int](80)))) && (coll38.size == placeholder[Int](81))) && (box37.value >= l27)\n )} else { placeholder[Boolean](82) } || if (((bool8 && (!bool39)) && (INPUTS.size == placeholder[Int](83))) && (OUTPUTS.size == placeholder[Int](84))) {(\n val bool51 = if (i40 > placeholder[Int](85)) { coll13(placeholder[Int](86)) } else { placeholder[Long](87) } == placeholder[Long](88)\n val bool52 = (tuple41._1 == coll6) && (tuple41._2 == l33 - placeholder[Long](89))\n val bool53 = (((((box10.value == SELF.value - l22 - if (bool51) { placeholder[Long](90) } else { placeholder[Long](91) + l22 }) && bool25) && (box10.R7[Coll[Byte]].get == coll7)) && (coll30 == coll6)) && (l34 == placeholder[Long](92))) && (tuple32 == tuple42)\n if (bool51) { (((bool53 && bool52) && (box37.propositionBytes == coll12)) && (box37.value == placeholder[Long](93))) && (coll38.size == placeholder[Int](94)) } else {(\n val coll54 = box37.propositionBytes\n val l55 = if (i40 > placeholder[Int](95)) { coll13(placeholder[Int](96)) } else { placeholder[Long](97) }\n ((((bool53 && bool52) && ((coll54 == placeholder[Coll[Byte]](98)) || (coll54 == placeholder[Coll[Byte]](99)))) && (box37.R4[SigmaProp].get == prop2)) && ((box37.R5[Coll[Long]].get(placeholder[Int](100)) == l55) && (l55 > placeholder[Long](101)))) && (box37.value >= placeholder[Long](102) + l22)\n )}\n )} else { placeholder[Boolean](103) }) || if ((bool46 && (l14 == placeholder[Long](104))) && (l47 > placeholder[Long](105))) {(\n val box51 = CONTEXT.dataInputs(placeholder[Int](106))\n val i52 = l15.toInt\n val l53 = box51.R5[Coll[Long]].get(i52)\n val bool54 = l53 > placeholder[Long](107)\n val bool55 = box51.tokens(placeholder[Int](108))._1 == coll16\n val l56 = l31 * l53 / placeholder[Long](109)\n val l57 = l21 * l20 / placeholder[Long](110)\n val bool58 = (l56 > placeholder[Long](111)) && (l57 > placeholder[Long](112))\n val l59 = l56 * l47\n val coll60 = if (l20 == placeholder[Long](113)) { coll18 } else { coll19 }\n val l61 = l57 * l47\n val coll62 = box51.R4[Coll[Coll[Byte]]].get(i52)\n val bool63 = (coll62.size > placeholder[Int](114)) || (l15 == placeholder[Long](115))\n if (l17 == placeholder[Long](116)) { if (l15 == placeholder[Long](117)) {(\n val box64 = OUTPUTS(placeholder[Int](118))\n ((((((bool55 && bool54) && bool58) && (box37.value >= l59)) && ((box64.propositionBytes == coll12) && box64.tokens.exists({(tuple65: (Coll[Byte], Long)) => (tuple65._1 == coll60) && (tuple65._2 >= l61) }))) && bool48) && bool49) && (box10.value >= SELF.value - l59 - l22)\n )} else {(\n val tuple64 = coll3(placeholder[Int](119))\n val box65 = OUTPUTS(placeholder[Int](120))\n ((((((((((bool55 && bool63) && bool54) && bool58) && (tuple64._1 == coll62)) && coll38.exists({(tuple66: (Coll[Byte], Long)) => (tuple66._1 == coll62) && (tuple66._2 >= l59) })) && ((box65.propositionBytes == coll12) && box65.tokens.exists({(tuple66: (Coll[Byte], Long)) => (tuple66._1 == coll60) && (tuple66._2 >= l61) }))) && if (l50 > placeholder[Long](121)) { coll35 == coll62 } else { placeholder[Boolean](122) }) && bool48) && bool49) && (box10.value >= SELF.value - l22)) && (l50 >= tuple64._2 - l59)\n )} } else {(\n val tuple64 = coll3(placeholder[Int](123))\n val coll65 = tuple64._1\n val box66 = OUTPUTS(placeholder[Int](124))\n ((((((((((bool55 && bool63) && bool54) && bool58) && ((coll65 == coll18) || (coll65 == coll19))) && coll38.exists({(tuple67: (Coll[Byte], Long)) => (tuple67._1 == coll65) && (tuple67._2 >= l61) })) && ((box66.propositionBytes == coll12) && box66.tokens.exists({(tuple67: (Coll[Byte], Long)) => (tuple67._1 == coll62) && (tuple67._2 >= l59) }))) && if (l50 > placeholder[Long](125)) { coll35 == coll65 } else { placeholder[Boolean](126) }) && bool48) && bool49) && (box10.value >= SELF.value - l22)) && (l50 >= tuple64._2 - l61)\n )}\n )} else { placeholder[Boolean](127) }) || if ((bool46 && (l14 == placeholder[Long](128))) && (l47 > placeholder[Long](129))) {(\n val tuple51 = coll3(placeholder[Int](130))\n val coll52 = tuple51._1\n val box53 = CONTEXT.dataInputs(placeholder[Int](131))\n val l54 = box53.R8[Coll[Long]].get(l15.toInt)\n val l55 = if (l17 == placeholder[Long](132)) { if (l54 > l21) {(\n val l55 = l54 - l21\n if (l55 > l36) { l36 } else { l55 }\n )} else { placeholder[Long](133) } } else { if (l54 < l21) {(\n val l55 = l21 - l54\n if (l55 > l36) { l36 } else { l55 }\n )} else { placeholder[Long](134) } }\n val l56 = l55 * l20 / placeholder[Long](135)\n val l57 = l56 * l47\n ((((((((((coll52 == coll18) || (coll52 == coll19)) && (box53.tokens(placeholder[Int](136))._1 == placeholder[Coll[Byte]](137))) && (l55 > placeholder[Long](138))) && (l56 > placeholder[Long](139))) && coll38.exists({(tuple58: (Coll[Byte], Long)) => (tuple58._1 == coll52) && (tuple58._2 >= l57) })) && if (l50 > placeholder[Long](140)) { coll35 == coll52 } else { placeholder[Boolean](141) }) && bool48) && bool49) && (box10.value >= SELF.value - l22)) && (l50 >= tuple51._2 - l57)\n )} else { placeholder[Boolean](142) }) || if (l43 > l45) {\n ((((OUTPUTS.size == placeholder[Int](143)) && (coll11 == coll12)) && (box10.value >= SELF.value - l22)) && (coll30 == tuple42._1)) && (l34 == tuple42._2)\n } else { placeholder[Boolean](144) }\n )\n}",
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"assets": [
{
"tokenId": "b9c7fe6d375e001f833fe3c4a38cadbf57366b8ce003925c3a9fe81217764932",
"index": 0,
"amount": 3,
"name": "ADA Call $0.24",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2000000,
"name": "rsADA",
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"type": "EIP-004"
}
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"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297"
},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R8": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1,1000000,1757140,240000,10000000,2200000,4,0,240000,100,0,0]"
},
"R7": {
"serializedValue": "0e20b9c7fe6d375e001f833fe3c4a38cadbf57366b8ce003925c3a9fe81217764932",
"sigmaType": "Coll[SByte]",
"renderedValue": "b9c7fe6d375e001f833fe3c4a38cadbf57366b8ce003925c3a9fe81217764932"
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"R9": {
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"renderedValue": "[02795f3b7a0ebae08365c6a3a4e82cad02fb51c7b0e13d53026d695a5ff9287f73,0008cd02383747243fed0a3ae9fcf0f3936d92447b57bb34c53faf5c5c0a105fbf42b4c8]"
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"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "4144412043616c6c2024302e3234"
}
},
"spentTransactionId": "d0289cb64cf064ee61ab8a5a44e84bb7481e6e8272923cfc9c8c51eec35466b1",
"mainChain": true
},
{
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"transactionId": "04a9e10a99295c2b07b69d1c975b4ece4d8de5b07849d5140ca68ba3bcb81e7a",
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"index": 1,
"globalIndex": 54529067,
"creationHeight": 1756786,
"settlementHeight": 1756787,
"ergoTree": "0008cd02383747243fed0a3ae9fcf0f3936d92447b57bb34c53faf5c5c0a105fbf42b4c8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(383747,d85572,...)))}",
"address": "9ewpUXoFqTomiiAxkj7P5x1FLvQ5Ldsn95XZiTpJaVpgUr3VZeS",
"assets": [],
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"mainChain": true
},
{
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"index": 2,
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"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)}",
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"mainChain": true
}
],
"size": 3954,
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}