Transaction
ID: a2021faeb4...e73d
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.024 ERG
Tokens:
1
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0118 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0022 ERG
Transaction Details
Confirmations: 3,978
Total coins transferred: 0.024 ERG
Fees: 0.0022 ERG
Fees per byte: 0.000000554 ERG
Raw Transaction Data
{
"id": "a2021faeb404fdb7d8adf916abc0d1e4008035976e06c5022bd00675f5c4e73d",
"blockId": "823b7611f644a16aadf6f16b572b55e989ed3bf58626c9a175b7da8ce46eabed",
"inclusionHeight": 1757809,
"timestamp": 1775436851688,
"index": 1,
"globalIndex": 10553831,
"numConfirmations": 3978,
"inputs": [
{
"boxId": "87eb02667d7473223491f814b5e0996375b71216c02503dcf931f9688d650e5f",
"value": 24000000,
"index": 0,
"spendingProof": "0b35e8794c56c0c42cecaff8e962ca151d87754c9e50e2e13b7ceea0c48d44545dd50bd0d61181caad5311286ebabf16f57de116f3ea50ab",
"outputBlockId": "ddcd0e49c76de0a29d3d0a96cdcbdf11cc18c7ddda5fd6c0bfbe432bfe07062f",
"outputTransactionId": "df6e46ba24abf7476babb20f59d6e744a8223a7c87254e5b471fac411085cacb",
"outputIndex": 0,
"outputGlobalIndex": 54557933,
"outputCreatedAt": 1757805,
"outputSettledAt": 1757806,
"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: 2\n13: 6\n14: 1000000\n15: false\n16: 5\n17: 0\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: 1000000\n38: 0\n39: 0\n40: 0\n41: 17\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 0\n48: 0\n49: 0\n50: 1000\n51: 100\n52: 1000\n53: 0\n54: 100\n55: 0\n56: 2\n57: 0\n58: 17\n59: 0\n60: 1000000\n61: 0\n62: 1\n63: 2\n64: 17\n65: 0\n66: 17\n67: 1000000\n68: 0\n69: 3\n70: 2000000\n71: 1\n72: 1\n73: 1\n74: 1\n75: 2\n76: 1\n77: 1000000\n78: 1000000\n79: 0\n80: 1\n81: 2\n82: 1\n83: 0\n84: false\n85: 1\n86: 3\n87: 11\n88: 11\n89: 0\n90: 0\n91: 1\n92: 1000000\n93: 1000000\n94: 1\n95: 1000000\n96: 1\n97: 12\n98: 12\n99: 0\n100: 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)\n101: 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)\n102: 0\n103: 0\n104: 1000000\n105: false\n106: 0\n107: 0\n108: 0\n109: 0\n110: 0\n111: 1000000\n112: 1000000\n113: 1000000\n114: 0\n115: 0\n116: 1000\n117: 0\n118: 17\n119: 0\n120: 17\n121: 2\n122: 1\n123: 2\n124: 0\n125: true\n126: 1\n127: 2\n128: 0\n129: true\n130: false\n131: 1\n132: 0\n133: 1\n134: 0\n135: 0\n136: 0\n137: 0\n138: 1000000\n139: 1000000\n140: 0\n141: 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)\n142: 0\n143: 0\n144: 0\n145: true\n146: false\n147: 2\n148: 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 = coll13(placeholder[Int](13))\n val l24 = l23 + placeholder[Long](14)\n val coll25 = SELF.R5[Coll[Byte]].get\n val bool26 = if (coll11 == SELF.propositionBytes) {\n (\n (\n (((box10.value >= l24) && (box10.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)) && (box10.R5[Coll[Byte]].get == coll25)) && (\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](15) }\n val coll27 = SELF.id\n val l28 = coll13(placeholder[Int](16))\n val coll29 = box10.tokens\n val tuple30 = coll29.getOrElse(placeholder[Int](17), tuple4)\n val coll31 = tuple30._1\n val tuple32 = coll29.getOrElse(placeholder[Int](18), tuple4)\n val l33 = tuple5._2\n val l34 = tuple30._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 != coll27) { 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 = ((bool26 && (box10.R7[Coll[Byte]].get == coll7)) && \n val coll48 = coll31\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 * l22 / placeholder[Long](36) * l20 / placeholder[Long](37)\n val bool53 = l52 > placeholder[Long](38)\n ((((((((((if (bool51) {(\n val box54 = CONTEXT.dataInputs(placeholder[Int](39))\n val i55 = l15.toInt\n val l56 = box54.R5[Coll[Long]].get(i55)\n val bool57 = box54.tokens(placeholder[Int](40))._1 == coll16\n val coll58 = box54.R4[Coll[Coll[Byte]]].get(i55)\n if (l15 == placeholder[Long](41)) { bool57 && (l56 > placeholder[Long](42)) } else { if (l17 == placeholder[Long](43)) { ((bool57 && (coll58.size > placeholder[Int](44))) && (l56 > placeholder[Long](45))) && (coll3(placeholder[Int](46))._1 == coll58) } else { (bool57 && (coll58.size > placeholder[Int](47))) && (l56 > placeholder[Long](48)) } }\n )} else {(\n val coll54 = coll3(placeholder[Int](49))._1\n (coll54 == coll18) || (coll54 == coll19)\n )} && if (bool51) { (l20 == placeholder[Long](50)) || (l20 == placeholder[Long](51)) } else { ((l20 == placeholder[Long](52)) && (coll3(placeholder[Int](53))._1 == coll18)) || ((l20 == placeholder[Long](54)) && (coll3(placeholder[Int](55))._1 == coll19)) }) && bool53) && bool26) && (box10.R7[Coll[Byte]].get == coll27)) && (box10.value == SELF.value - l23 - l28)) && (box10.value >= placeholder[Long](56) * l24)) && (coll31 == coll27)) && \n val bool54 = l17 == placeholder[Long](57)\n (((((bool54 && bool51) && (l15 != placeholder[Long](58))) && \n val l55 = l22 * CONTEXT.dataInputs(placeholder[Int](59)).R5[Coll[Long]].get(l15.toInt) / placeholder[Long](60)\n ((((l55 > placeholder[Long](61)) && \n val coll56 = coll35\n coll56 == coll25\n ) && (tuple32 == tuple5)) && (l34 == l33 / l55 + placeholder[Long](62))) && (coll29.size == placeholder[Int](63))\n ) || (((bool54 && bool51) && (l15 == placeholder[Long](64))) && \n val l55 = l22 * CONTEXT.dataInputs(placeholder[Int](65)).R5[Coll[Long]].get(placeholder[Int](66)) / placeholder[Long](67)\n val l56 = SELF.value\n (((l55 > placeholder[Long](68)) && (l34 == l56 - placeholder[Long](69) * l23 - l28 - placeholder[Long](70) / l55 + placeholder[Long](71))) && (coll29.size == placeholder[Int](72))) && (box10.value >= l56 - l23 - l28)\n )) || (((((((l17 == placeholder[Long](73)) && bool51) && (coll35 == coll25)) && (tuple32 == tuple5)) && bool53) && (l34 == l33 / l52 + placeholder[Long](74))) && (coll29.size == placeholder[Int](75)))) || ((l14 == placeholder[Long](76)) && \n val l55 = l36 * l22 / placeholder[Long](77) * l20 / placeholder[Long](78)\n ((((l55 > placeholder[Long](79)) && (coll35 == coll25)) && (tuple32 == tuple5)) && (l34 == l33 / l55 + placeholder[Long](80))) && (coll29.size == placeholder[Int](81))\n )\n ) && (box37.propositionBytes == coll1(placeholder[Int](82)))) && (coll38.size == placeholder[Int](83))) && (box37.value >= l28)\n )} else { placeholder[Boolean](84) } || if (((bool8 && (!bool39)) && (INPUTS.size == placeholder[Int](85))) && (OUTPUTS.size == placeholder[Int](86))) {(\n val bool51 = if (i40 > placeholder[Int](87)) { coll13(placeholder[Int](88)) } else { placeholder[Long](89) } == placeholder[Long](90)\n val bool52 = (tuple41._1 == coll6) && (tuple41._2 == l33 - placeholder[Long](91))\n val bool53 = (((((box10.value == SELF.value - l23 - if (bool51) { placeholder[Long](92) } else { placeholder[Long](93) + l23 }) && bool26) && (box10.R7[Coll[Byte]].get == coll7)) && (coll31 == coll6)) && (l34 == placeholder[Long](94))) && (tuple32 == tuple42)\n if (bool51) { (((bool53 && bool52) && (box37.propositionBytes == coll12)) && (box37.value == placeholder[Long](95))) && (coll38.size == placeholder[Int](96)) } else {(\n val coll54 = box37.propositionBytes\n val l55 = if (i40 > placeholder[Int](97)) { coll13(placeholder[Int](98)) } else { placeholder[Long](99) }\n ((((bool53 && bool52) && ((coll54 == placeholder[Coll[Byte]](100)) || (coll54 == placeholder[Coll[Byte]](101)))) && (box37.R4[SigmaProp].get == prop2)) && ((box37.R5[Coll[Long]].get(placeholder[Int](102)) == l55) && (l55 > placeholder[Long](103)))) && (box37.value >= placeholder[Long](104) + l23)\n )}\n )} else { placeholder[Boolean](105) }) || if ((bool46 && (l14 == placeholder[Long](106))) && (l47 > placeholder[Long](107))) {(\n val box51 = CONTEXT.dataInputs(placeholder[Int](108))\n val i52 = l15.toInt\n val l53 = box51.R5[Coll[Long]].get(i52)\n val bool54 = l53 > placeholder[Long](109)\n val bool55 = box51.tokens(placeholder[Int](110))._1 == coll16\n val l56 = l22 * l53 / placeholder[Long](111)\n val l57 = l21 * l22 / placeholder[Long](112) * l20 / placeholder[Long](113)\n val bool58 = (l56 > placeholder[Long](114)) && (l57 > placeholder[Long](115))\n val l59 = l56 * l47\n val coll60 = if (l20 == placeholder[Long](116)) { 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](117)) || (l15 == placeholder[Long](118))\n if (l17 == placeholder[Long](119)) { if (l15 == placeholder[Long](120)) {(\n val box64 = OUTPUTS(placeholder[Int](121))\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 - l23)\n )} else {(\n val tuple64 = coll3(placeholder[Int](122))\n val box65 = OUTPUTS(placeholder[Int](123))\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](124)) { coll35 == coll62 } else { placeholder[Boolean](125) }) && bool48) && bool49) && (box10.value >= SELF.value - l23)) && (l50 >= tuple64._2 - l59)\n )} } else {(\n val tuple64 = coll3(placeholder[Int](126))\n val coll65 = tuple64._1\n val box66 = OUTPUTS(placeholder[Int](127))\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](128)) { coll35 == coll65 } else { placeholder[Boolean](129) }) && bool48) && bool49) && (box10.value >= SELF.value - l23)) && (l50 >= tuple64._2 - l61)\n )}\n )} else { placeholder[Boolean](130) }) || if ((bool46 && (l14 == placeholder[Long](131))) && (l47 > placeholder[Long](132))) {(\n val tuple51 = coll3(placeholder[Int](133))\n val coll52 = tuple51._1\n val box53 = CONTEXT.dataInputs(placeholder[Int](134))\n val l54 = box53.R8[Coll[Long]].get(l15.toInt)\n val l55 = if (l17 == placeholder[Long](135)) { if (l54 > l21) {(\n val l55 = l54 - l21\n if (l55 > l36) { l36 } else { l55 }\n )} else { placeholder[Long](136) } } else { if (l54 < l21) {(\n val l55 = l21 - l54\n if (l55 > l36) { l36 } else { l55 }\n )} else { placeholder[Long](137) } }\n val l56 = l55 * l22 / placeholder[Long](138) * l20 / placeholder[Long](139)\n val l57 = l56 * l47\n ((((((((((coll52 == coll18) || (coll52 == coll19)) && (box53.tokens(placeholder[Int](140))._1 == placeholder[Coll[Byte]](141))) && (l55 > placeholder[Long](142))) && (l56 > placeholder[Long](143))) && coll38.exists({(tuple58: (Coll[Byte], Long)) => (tuple58._1 == coll52) && (tuple58._2 >= l57) })) && if (l50 > placeholder[Long](144)) { coll35 == coll52 } else { placeholder[Boolean](145) }) && bool48) && bool49) && (box10.value >= SELF.value - l23)) && (l50 >= tuple51._2 - l57)\n )} else { placeholder[Boolean](146) }) || if (l43 > l45) {\n ((((OUTPUTS.size == placeholder[Int](147)) && (coll11 == coll12)) && (box10.value >= SELF.value - l23)) && (coll31 == tuple42._1)) && (l34 == tuple42._2)\n } else { placeholder[Boolean](148) }\n )\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1320,
"name": "USE",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"R8": {
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"renderedValue": "[1,1,200,1758525,6600000000,10000000,2200000,9,1,6600000000,1000,1,22]"
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"R7": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[02795f3b7a0ebae08365c6a3a4e82cad02fb51c7b0e13d53026d695a5ff9287f73,0008cd02383747243fed0a3ae9fcf0f3936d92447b57bb34c53faf5c5c0a105fbf42b4c8]"
},
"R4": {
"serializedValue": "0e1453265020353030205075742024363630302e3030",
"sigmaType": "Coll[SByte]",
"renderedValue": "53265020353030205075742024363630302e3030"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "819940186810545c9d47c5b095607f5bdb4a00b036f348e78bf74f65228d18cb",
"transactionId": "a2021faeb404fdb7d8adf916abc0d1e4008035976e06c5022bd00675f5c4e73d",
"blockId": "823b7611f644a16aadf6f16b572b55e989ed3bf58626c9a175b7da8ce46eabed",
"value": 11800000,
"index": 0,
"globalIndex": 54558000,
"creationHeight": 1757807,
"settlementHeight": 1757809,
"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: 2\n13: 6\n14: 1000000\n15: false\n16: 5\n17: 0\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: 1000000\n38: 0\n39: 0\n40: 0\n41: 17\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 0\n48: 0\n49: 0\n50: 1000\n51: 100\n52: 1000\n53: 0\n54: 100\n55: 0\n56: 2\n57: 0\n58: 17\n59: 0\n60: 1000000\n61: 0\n62: 1\n63: 2\n64: 17\n65: 0\n66: 17\n67: 1000000\n68: 0\n69: 3\n70: 2000000\n71: 1\n72: 1\n73: 1\n74: 1\n75: 2\n76: 1\n77: 1000000\n78: 1000000\n79: 0\n80: 1\n81: 2\n82: 1\n83: 0\n84: false\n85: 1\n86: 3\n87: 11\n88: 11\n89: 0\n90: 0\n91: 1\n92: 1000000\n93: 1000000\n94: 1\n95: 1000000\n96: 1\n97: 12\n98: 12\n99: 0\n100: 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)\n101: 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)\n102: 0\n103: 0\n104: 1000000\n105: false\n106: 0\n107: 0\n108: 0\n109: 0\n110: 0\n111: 1000000\n112: 1000000\n113: 1000000\n114: 0\n115: 0\n116: 1000\n117: 0\n118: 17\n119: 0\n120: 17\n121: 2\n122: 1\n123: 2\n124: 0\n125: true\n126: 1\n127: 2\n128: 0\n129: true\n130: false\n131: 1\n132: 0\n133: 1\n134: 0\n135: 0\n136: 0\n137: 0\n138: 1000000\n139: 1000000\n140: 0\n141: 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)\n142: 0\n143: 0\n144: 0\n145: true\n146: false\n147: 2\n148: 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 = coll13(placeholder[Int](13))\n val l24 = l23 + placeholder[Long](14)\n val coll25 = SELF.R5[Coll[Byte]].get\n val bool26 = if (coll11 == SELF.propositionBytes) {\n (\n (\n (((box10.value >= l24) && (box10.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)) && (box10.R5[Coll[Byte]].get == coll25)) && (\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](15) }\n val coll27 = SELF.id\n val l28 = coll13(placeholder[Int](16))\n val coll29 = box10.tokens\n val tuple30 = coll29.getOrElse(placeholder[Int](17), tuple4)\n val coll31 = tuple30._1\n val tuple32 = coll29.getOrElse(placeholder[Int](18), tuple4)\n val l33 = tuple5._2\n val l34 = tuple30._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 != coll27) { 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 = ((bool26 && (box10.R7[Coll[Byte]].get == coll7)) && \n val coll48 = coll31\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 * l22 / placeholder[Long](36) * l20 / placeholder[Long](37)\n val bool53 = l52 > placeholder[Long](38)\n ((((((((((if (bool51) {(\n val box54 = CONTEXT.dataInputs(placeholder[Int](39))\n val i55 = l15.toInt\n val l56 = box54.R5[Coll[Long]].get(i55)\n val bool57 = box54.tokens(placeholder[Int](40))._1 == coll16\n val coll58 = box54.R4[Coll[Coll[Byte]]].get(i55)\n if (l15 == placeholder[Long](41)) { bool57 && (l56 > placeholder[Long](42)) } else { if (l17 == placeholder[Long](43)) { ((bool57 && (coll58.size > placeholder[Int](44))) && (l56 > placeholder[Long](45))) && (coll3(placeholder[Int](46))._1 == coll58) } else { (bool57 && (coll58.size > placeholder[Int](47))) && (l56 > placeholder[Long](48)) } }\n )} else {(\n val coll54 = coll3(placeholder[Int](49))._1\n (coll54 == coll18) || (coll54 == coll19)\n )} && if (bool51) { (l20 == placeholder[Long](50)) || (l20 == placeholder[Long](51)) } else { ((l20 == placeholder[Long](52)) && (coll3(placeholder[Int](53))._1 == coll18)) || ((l20 == placeholder[Long](54)) && (coll3(placeholder[Int](55))._1 == coll19)) }) && bool53) && bool26) && (box10.R7[Coll[Byte]].get == coll27)) && (box10.value == SELF.value - l23 - l28)) && (box10.value >= placeholder[Long](56) * l24)) && (coll31 == coll27)) && \n val bool54 = l17 == placeholder[Long](57)\n (((((bool54 && bool51) && (l15 != placeholder[Long](58))) && \n val l55 = l22 * CONTEXT.dataInputs(placeholder[Int](59)).R5[Coll[Long]].get(l15.toInt) / placeholder[Long](60)\n ((((l55 > placeholder[Long](61)) && \n val coll56 = coll35\n coll56 == coll25\n ) && (tuple32 == tuple5)) && (l34 == l33 / l55 + placeholder[Long](62))) && (coll29.size == placeholder[Int](63))\n ) || (((bool54 && bool51) && (l15 == placeholder[Long](64))) && \n val l55 = l22 * CONTEXT.dataInputs(placeholder[Int](65)).R5[Coll[Long]].get(placeholder[Int](66)) / placeholder[Long](67)\n val l56 = SELF.value\n (((l55 > placeholder[Long](68)) && (l34 == l56 - placeholder[Long](69) * l23 - l28 - placeholder[Long](70) / l55 + placeholder[Long](71))) && (coll29.size == placeholder[Int](72))) && (box10.value >= l56 - l23 - l28)\n )) || (((((((l17 == placeholder[Long](73)) && bool51) && (coll35 == coll25)) && (tuple32 == tuple5)) && bool53) && (l34 == l33 / l52 + placeholder[Long](74))) && (coll29.size == placeholder[Int](75)))) || ((l14 == placeholder[Long](76)) && \n val l55 = l36 * l22 / placeholder[Long](77) * l20 / placeholder[Long](78)\n ((((l55 > placeholder[Long](79)) && (coll35 == coll25)) && (tuple32 == tuple5)) && (l34 == l33 / l55 + placeholder[Long](80))) && (coll29.size == placeholder[Int](81))\n )\n ) && (box37.propositionBytes == coll1(placeholder[Int](82)))) && (coll38.size == placeholder[Int](83))) && (box37.value >= l28)\n )} else { placeholder[Boolean](84) } || if (((bool8 && (!bool39)) && (INPUTS.size == placeholder[Int](85))) && (OUTPUTS.size == placeholder[Int](86))) {(\n val bool51 = if (i40 > placeholder[Int](87)) { coll13(placeholder[Int](88)) } else { placeholder[Long](89) } == placeholder[Long](90)\n val bool52 = (tuple41._1 == coll6) && (tuple41._2 == l33 - placeholder[Long](91))\n val bool53 = (((((box10.value == SELF.value - l23 - if (bool51) { placeholder[Long](92) } else { placeholder[Long](93) + l23 }) && bool26) && (box10.R7[Coll[Byte]].get == coll7)) && (coll31 == coll6)) && (l34 == placeholder[Long](94))) && (tuple32 == tuple42)\n if (bool51) { (((bool53 && bool52) && (box37.propositionBytes == coll12)) && (box37.value == placeholder[Long](95))) && (coll38.size == placeholder[Int](96)) } else {(\n val coll54 = box37.propositionBytes\n val l55 = if (i40 > placeholder[Int](97)) { coll13(placeholder[Int](98)) } else { placeholder[Long](99) }\n ((((bool53 && bool52) && ((coll54 == placeholder[Coll[Byte]](100)) || (coll54 == placeholder[Coll[Byte]](101)))) && (box37.R4[SigmaProp].get == prop2)) && ((box37.R5[Coll[Long]].get(placeholder[Int](102)) == l55) && (l55 > placeholder[Long](103)))) && (box37.value >= placeholder[Long](104) + l23)\n )}\n )} else { placeholder[Boolean](105) }) || if ((bool46 && (l14 == placeholder[Long](106))) && (l47 > placeholder[Long](107))) {(\n val box51 = CONTEXT.dataInputs(placeholder[Int](108))\n val i52 = l15.toInt\n val l53 = box51.R5[Coll[Long]].get(i52)\n val bool54 = l53 > placeholder[Long](109)\n val bool55 = box51.tokens(placeholder[Int](110))._1 == coll16\n val l56 = l22 * l53 / placeholder[Long](111)\n val l57 = l21 * l22 / placeholder[Long](112) * l20 / placeholder[Long](113)\n val bool58 = (l56 > placeholder[Long](114)) && (l57 > placeholder[Long](115))\n val l59 = l56 * l47\n val coll60 = if (l20 == placeholder[Long](116)) { 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](117)) || (l15 == placeholder[Long](118))\n if (l17 == placeholder[Long](119)) { if (l15 == placeholder[Long](120)) {(\n val box64 = OUTPUTS(placeholder[Int](121))\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 - l23)\n )} else {(\n val tuple64 = coll3(placeholder[Int](122))\n val box65 = OUTPUTS(placeholder[Int](123))\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](124)) { coll35 == coll62 } else { placeholder[Boolean](125) }) && bool48) && bool49) && (box10.value >= SELF.value - l23)) && (l50 >= tuple64._2 - l59)\n )} } else {(\n val tuple64 = coll3(placeholder[Int](126))\n val coll65 = tuple64._1\n val box66 = OUTPUTS(placeholder[Int](127))\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](128)) { coll35 == coll65 } else { placeholder[Boolean](129) }) && bool48) && bool49) && (box10.value >= SELF.value - l23)) && (l50 >= tuple64._2 - l61)\n )}\n )} else { placeholder[Boolean](130) }) || if ((bool46 && (l14 == placeholder[Long](131))) && (l47 > placeholder[Long](132))) {(\n val tuple51 = coll3(placeholder[Int](133))\n val coll52 = tuple51._1\n val box53 = CONTEXT.dataInputs(placeholder[Int](134))\n val l54 = box53.R8[Coll[Long]].get(l15.toInt)\n val l55 = if (l17 == placeholder[Long](135)) { if (l54 > l21) {(\n val l55 = l54 - l21\n if (l55 > l36) { l36 } else { l55 }\n )} else { placeholder[Long](136) } } else { if (l54 < l21) {(\n val l55 = l21 - l54\n if (l55 > l36) { l36 } else { l55 }\n )} else { placeholder[Long](137) } }\n val l56 = l55 * l22 / placeholder[Long](138) * l20 / placeholder[Long](139)\n val l57 = l56 * l47\n ((((((((((coll52 == coll18) || (coll52 == coll19)) && (box53.tokens(placeholder[Int](140))._1 == placeholder[Coll[Byte]](141))) && (l55 > placeholder[Long](142))) && (l56 > placeholder[Long](143))) && coll38.exists({(tuple58: (Coll[Byte], Long)) => (tuple58._1 == coll52) && (tuple58._2 >= l57) })) && if (l50 > placeholder[Long](144)) { coll35 == coll52 } else { placeholder[Boolean](145) }) && bool48) && bool49) && (box10.value >= SELF.value - l23)) && (l50 >= tuple51._2 - l57)\n )} else { placeholder[Boolean](146) }) || if (l43 > l45) {\n ((((OUTPUTS.size == placeholder[Int](147)) && (coll11 == coll12)) && (box10.value >= SELF.value - l23)) && (coll31 == tuple42._1)) && (l34 == tuple42._2)\n } else { placeholder[Boolean](148) }\n )\n}",
"address": "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",
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{
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"index": 0,
"amount": 2,
"name": "S&P 500 Put $6600.00",
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"name": "USE",
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"sigmaType": "Coll[SByte]",
"renderedValue": "53265020353030205075742024363630302e3030"
}
},
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},
{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(383747,d85572,...)))}",
"address": "9ewpUXoFqTomiiAxkj7P5x1FLvQ5Ldsn95XZiTpJaVpgUr3VZeS",
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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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}
],
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}