Transaction
ID: 539708eff1...98ec
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
7,077.49 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
28.31 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
76.52 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
699.4 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
7,777.49 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
100.73 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.5 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 441,328
Total coins transferred: 7,881.72 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000191 ERG
Raw Transaction Data
{
"id": "539708eff14226105d85b67c8c3cb38293f8746af445344eb1b91d7111bc98ec",
"blockId": "1f85e01bb6ce981e67f980b5b9b1bf8b6714ef35576dec40fb068b405aa88549",
"inclusionHeight": 1327894,
"timestamp": 1723391118094,
"index": 10,
"globalIndex": 7635804,
"numConfirmations": 441328,
"inputs": [
{
"boxId": "e46919dd0a4d3f1e6bce30eadb25544eb3e1fa079177ed20b5776bc705be83a4",
"value": 7077488964000,
"index": 0,
"spendingProof": null,
"outputBlockId": "44d1fc76a14c2d786ca05cc489aca7ff61158f933447525ceec75a3ed71ead46",
"outputTransactionId": "aef31af59f9831bfc3567e392d645da1e381b9d59e3c5e878708bf451dc00cb1",
"outputIndex": 0,
"outputGlobalIndex": 42080452,
"outputCreatedAt": 1327754,
"outputSettledAt": 1327758,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: CBigInt(1000000000)\n8: CBigInt(1000)\n9: 1000000\n10: CBigInt(66)\n11: CBigInt(100)\n12: 0\n13: CBigInt(4)\n14: CBigInt(0)\n15: CBigInt(5)\n16: Coll(16,37,4,0,4,0,4,2,4,2,4,2,4,0,14,32,-47,-55,-30,6,87,-76,-29,125,-29,-51,39,-102,-103,66,102,-37,52,-79,-114,110,120,99,113,-125,42,-48,20,-3,70,88,49,-104,4,4,4,0,4,0,4,0,4,2,14,32,123,-94,-88,95,-37,48,42,24,21,120,-79,-10,76,-76,-91,51,-40,-101,63,-115,-28,21,-98,-2,-50,117,-38,65,4,21,55,-7,5,0,4,4,5,-56,1,5)\n17: CBigInt(1)\n18: 1\n19: 0\n20: 1\n21: 2\n22: 3\n23: CBigInt(1000000)\n24: true\n25: 3\n26: 4\n27: CBigInt(1000000)\n28: true\n29: true\n30: 1\n31: 0\n32: Coll(17,-102,6,-118,1,25,103,13,-24,-91,-46,70,125,-93,61,-11,114,-112,60,100,-86,-89,-74,-22,76,-106,104,-17,12,-2,3,37)\n33: CBigInt(1000000)\n34: true\n35: true\n36: 0\n37: true\n38: CBigInt(200)\n39: true\n40: 720\n41: 0\n42: 0\n43: 14\n44: CBigInt(200)\n45: CBigInt(2)\n46: true\n47: 14\n48: 0\n49: 0\n50: 0\n51: 14\n52: 0\n53: 1\n54: 14\n55: 1\n56: 14\n57: 1\n58: 0\n59: 14\n60: 0\n61: 0\n62: 0\n63: 14\n64: 0\n65: 1\n66: 14\n67: 1\n68: 14\n69: 1\n70: 0\n71: 720\n72: 720\n73: 720\n74: 14\n75: 14\n76: 0\n77: 0\n78: 14\n79: true\n80: CBigInt(200)\n81: CBigInt(2)\n82: 14\n83: 0\n84: 0\n85: 0\n86: 14\n87: 0\n88: 1\n89: 14\n90: 1\n91: 14\n92: 1\n93: 0\n94: 14\n95: 0\n96: 0\n97: 0\n98: 14\n99: 0\n100: 1\n101: 14\n102: 1\n103: 14\n104: 1\n105: 0\n106: 720\n107: 720\n108: false\n109: 1\n110: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS(placeholder[Int](0))\n val coll3 = box2.tokens\n val tuple4 = coll1(placeholder[Int](1))\n val tuple5 = coll3(placeholder[Int](2))\n val tuple6 = coll1(placeholder[Int](3))\n val tuple7 = coll3(placeholder[Int](4))\n val tuple8 = SELF.R4[(Long, Long)].get\n val bool9 = tuple8 == box2.R4[(Long, Long)].get\n val prop10 = SELF.R5[SigmaProp].get\n val prop11 = box2.R5[SigmaProp].get\n val tuple12 = SELF.R6[(Long, Long)].get\n val l13 = tuple12._2\n val tuple14 = box2.R6[(Long, Long)].get\n val l15 = tuple14._2\n val bool16 = allOf(\n Coll[Boolean](\n coll1(placeholder[Int](5))._1 == coll3(\n placeholder[Int](6)\n )._1, tuple4._1 == tuple5._1, tuple6._1 == tuple7._1, SELF.propositionBytes == box2.propositionBytes, bool9, prop10 == prop11, l13 == l15\n )\n )\n val l17 = tuple4._2\n val l18 = tuple5._2\n val bool19 = l17 > l18\n val l20 = tuple6._2\n val l21 = tuple7._2\n val bool22 = l20 > l21\n val l23 = SELF.value\n val l24 = box2.value\n val bool25 = allOf(Coll[Boolean](bool16, bool19, bool22, l23 < l24))\n val bool26 = l17 < l18\n val bool27 = l20 < l21\n val bool28 = allOf(Coll[Boolean](bool16, bool26, bool27, l23 > l24))\n val bool29 = l23 == l24\n val bool30 = allOf(Coll[Boolean](bool16, bool19, bool27, bool29))\n val bool31 = allOf(Coll[Boolean](bool16, bool26, bool22, bool29))\n val l32 = tuple12._1\n val coll33 = prop10.propBytes\n val coll34 = SELF.R7[Coll[Long]].get\n val coll35 = box2.R7[Coll[Long]].get\n val coll36 = SELF.R8[Coll[Long]].get\n val coll37 = box2.R8[Coll[Long]].get\n val l38 = SELF.R9[Long].get\n val l39 = box2.R9[Long].get\n if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n val bi40 = tuple8._1 - l17.toBigInt\n val bi41 = placeholder[BigInt](7)\n val bi42 = placeholder[BigInt](8)\n val bi43 = l23 - placeholder[Long](9).toBigInt\n val bi44 = tuple8._2 - l20.toBigInt\n val opt45 = getVar[SigmaProp](0.toByte)\n val bi46 = min(\n placeholder[BigInt](10) * bi41 / placeholder[BigInt](11), bi40 * CONTEXT.dataInputs(placeholder[Int](12)).R4[Long].get.toBigInt / bi42 / bi43\n )\n val bi47 = bi41 - bi46\n val func48 = {(l48: Long) => l48.toBigInt * bi47 * bi43 / bi44 / bi41 }\n val func49 = {(l49: Long) => l49.toBigInt * bi46 * bi43 / bi40 / bi41 }\n val bi50 = if (bool25) { l24 - l23.toBigInt } else {\n if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func48(l21 - l20) } else { func49(l18 - l17) } }\n }\n val bi51 = placeholder[BigInt](13) * bi50 / bi42\n val bi52 = placeholder[BigInt](14)\n val tuple53 = (coll33, if (l32 < l13) { placeholder[BigInt](15) * bi50 / bi42 * l13 - l32.toBigInt / l13.toBigInt } else { bi52 })\n val tuple54 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi50 / bi42)\n val tuple55 = (Coll[Byte](placeholder[Byte](18)), bi52)\n val coll56 = if (bool31 || bool30) {\n if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, tuple54, (opt45.get.propBytes, bi51)) } else {\n Coll[(Coll[Byte], BigInt)](tuple53, tuple54, tuple55)\n }\n } else {\n if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, (opt45.get.propBytes, bi51), tuple55) } else {\n Coll[(Coll[Byte], BigInt)](tuple53, tuple55, tuple55)\n }\n }\n val tuple57 = coll56(placeholder[Int](19))\n val bi58 = tuple57._2\n val tuple59 = coll56(placeholder[Int](20))\n val bi60 = tuple59._2\n val box61 = OUTPUTS(placeholder[Int](21))\n val coll62 = tuple59._1\n val bool63 = bi60 > bi52\n val bool64 = allOf(Coll[Boolean]((if (bi58 > bi52) {(\n val box64 = if (bi60 <= bi52) { box61 } else { OUTPUTS(placeholder[Int](22)) }\n allOf(Coll[Boolean](box64.propositionBytes == tuple57._1, box64.value.toBigInt == bi58 + placeholder[BigInt](23)))\n )} else { placeholder[Boolean](24) } && if (opt45.isDefined) { if (bool63) {(\n val box64 = if (bi60 <= bi52) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n allOf(Coll[Boolean](box64.propositionBytes == coll62, box64.value.toBigInt == bi60 + placeholder[BigInt](27)))\n )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool63) {(\n val coll64 = box61.propositionBytes\n val box65 = INPUTS(INPUTS.size - placeholder[Int](30))\n allOf(Coll[Boolean](coll64 == coll62, coll64 == box65.propositionBytes, box61.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box61.value.toBigInt == box65.value.toBigInt + bi60 + placeholder[BigInt](33)))\n )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l32.toBigInt == bi58, l15 == l13))\n val bool65 = allOf(Coll[Boolean](coll34 == coll35, coll36 == coll37, l38 == l39))\n val func66 = {(coll66: Coll[Long]) => coll66.fold(placeholder[Long](36), {(tuple68: (Long, Long)) => tuple68._1 + tuple68._2 }).toBigInt }\n if (bool25) {(\n val bi67 = l24 - l23.toBigInt\n val bi68 = bi41 - bi41 / bi42\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool16, l17 - l18.toBigInt == bi67 * bi40 * bi68 / bi43 / bi41, l20 - l21.toBigInt == bi67 * bi44 * bi68 / bi43 / bi41, placeholder[Boolean](\n 37\n ), bool64, bool65\n )\n )\n )\n )} else { if (bool28) {(\n val bi67 = l23 - l24.toBigInt\n val bi68 = bi43 * bi41 - bi41 / placeholder[BigInt](38)\n sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi67 * bi40 * bi41 / bi68, l21 - l20.toBigInt == bi67 * bi44 * bi41 / bi68, placeholder[Boolean](39), bool64, bool65)))\n )} else { if (bool30) {(\n val l67 = l21 - l20\n val bi68 = func66(coll37)\n val bi69 = func66(coll35)\n val i70 = HEIGHT.toLong - l38 / placeholder[Int](40).toLong.toInt\n val bool71 = i70 == placeholder[Int](41)\n val bool72 = i70 > placeholder[Int](42)\n val i73 = placeholder[Int](43) - i70\n sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](44) + bi41 / placeholder[BigInt](45) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi44 * bi47 * bi40 / bi41 / bi46, placeholder[Boolean](46), l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll37.size == placeholder[Int](47), if (bool71) { coll36(placeholder[Int](48)) } else { placeholder[Long](49) } == coll37(placeholder[Int](50)), if (bool72) { coll37.slice(i70, placeholder[Int](51)) == coll36.slice(placeholder[Int](52), i73) } else { coll37.slice(placeholder[Int](53), placeholder[Int](54)) == coll36.slice(placeholder[Int](55), placeholder[Int](56)) }, coll37.slice(placeholder[Int](57), i70).forall({(l74: Long) => l74 == placeholder[Long](58) }))), allOf(Coll[Boolean](coll35.size == placeholder[Int](59), coll35(placeholder[Int](60)).toBigInt == if (bool71) { coll34(placeholder[Int](61)) } else { placeholder[Long](62) }.toBigInt + func48(l67), if (bool72) { coll35.slice(i70, placeholder[Int](63)) == coll34.slice(placeholder[Int](64), i73) } else { coll35.slice(placeholder[Int](65), placeholder[Int](66)) == coll34.slice(placeholder[Int](67), placeholder[Int](68)) }, coll35.slice(placeholder[Int](69), i70).forall({(l74: Long) => l74 == placeholder[Long](70) }))), l39 == HEIGHT / placeholder[Int](71) * placeholder[Int](72).toLong)))\n )} else { if (bool31) {(\n val l67 = l18 - l17\n val bi68 = func66(coll35)\n val bi69 = func66(coll37)\n val i70 = HEIGHT.toLong - l38 / placeholder[Int](73).toLong.toInt\n val i71 = if (i70 >= placeholder[Int](74)) { placeholder[Int](75) } else { i70 }\n val bool72 = i71 == placeholder[Int](76)\n val bool73 = i71 > placeholder[Int](77)\n val i74 = placeholder[Int](78) - i71\n sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](79), l20 - l21.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](80) + bi41 / placeholder[BigInt](81) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi40 * bi46 * bi44 / bi41 / bi47, l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll35.size == placeholder[Int](82), if (bool72) { coll34(placeholder[Int](83)) } else { placeholder[Long](84) } == coll35(placeholder[Int](85)), if (bool73) { coll35.slice(i71, placeholder[Int](86)) == coll34.slice(placeholder[Int](87), i74) } else { coll35.slice(placeholder[Int](88), placeholder[Int](89)) == coll34.slice(placeholder[Int](90), placeholder[Int](91)) }, coll35.slice(placeholder[Int](92), i71).forall({(l75: Long) => l75 == placeholder[Long](93) }))), allOf(Coll[Boolean](coll37.size == placeholder[Int](94), coll37(placeholder[Int](95)).toBigInt == if (bool72) { coll36(placeholder[Int](96)) } else { placeholder[Long](97) }.toBigInt + func49(l67), if (bool73) { coll37.slice(i71, placeholder[Int](98)) == coll36.slice(placeholder[Int](99), i74) } else { coll37.slice(placeholder[Int](100), placeholder[Int](101)) == coll36.slice(placeholder[Int](102), placeholder[Int](103)) }, coll37.slice(placeholder[Int](104), i71).forall({(l75: Long) => l75 == placeholder[Long](105) }))), l39 == HEIGHT / placeholder[Int](106) * placeholder[Int](107).toLong)))\n )} else { sigmaProp(placeholder[Boolean](108)) } } } }\n )} else {\n if (INPUTS(placeholder[Int](109)).propositionBytes == coll33) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll34 == coll35, coll36 == coll37, l38 == l39)), prop11 != prop10\n )\n )\n ) && prop10\n } else { sigmaProp(placeholder[Boolean](110)) }\n }\n}",
"address": "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",
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"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: CBigInt(1000000000)\n8: CBigInt(1000)\n9: 1000000\n10: CBigInt(66)\n11: CBigInt(100)\n12: 0\n13: CBigInt(4)\n14: CBigInt(0)\n15: CBigInt(5)\n16: Coll(16,37,4,0,4,0,4,2,4,2,4,2,4,0,14,32,-47,-55,-30,6,87,-76,-29,125,-29,-51,39,-102,-103,66,102,-37,52,-79,-114,110,120,99,113,-125,42,-48,20,-3,70,88,49,-104,4,4,4,0,4,0,4,0,4,2,14,32,123,-94,-88,95,-37,48,42,24,21,120,-79,-10,76,-76,-91,51,-40,-101,63,-115,-28,21,-98,-2,-50,117,-38,65,4,21,55,-7,5,0,4,4,5,-56,1,5)\n17: CBigInt(1)\n18: 1\n19: 0\n20: 1\n21: 2\n22: 3\n23: CBigInt(1000000)\n24: true\n25: 3\n26: 4\n27: CBigInt(1000000)\n28: true\n29: true\n30: 1\n31: 0\n32: Coll(17,-102,6,-118,1,25,103,13,-24,-91,-46,70,125,-93,61,-11,114,-112,60,100,-86,-89,-74,-22,76,-106,104,-17,12,-2,3,37)\n33: CBigInt(1000000)\n34: true\n35: true\n36: 0\n37: true\n38: CBigInt(200)\n39: true\n40: 720\n41: 0\n42: 0\n43: 14\n44: CBigInt(200)\n45: CBigInt(2)\n46: true\n47: 14\n48: 0\n49: 0\n50: 0\n51: 14\n52: 0\n53: 1\n54: 14\n55: 1\n56: 14\n57: 1\n58: 0\n59: 14\n60: 0\n61: 0\n62: 0\n63: 14\n64: 0\n65: 1\n66: 14\n67: 1\n68: 14\n69: 1\n70: 0\n71: 720\n72: 720\n73: 720\n74: 14\n75: 14\n76: 0\n77: 0\n78: 14\n79: true\n80: CBigInt(200)\n81: CBigInt(2)\n82: 14\n83: 0\n84: 0\n85: 0\n86: 14\n87: 0\n88: 1\n89: 14\n90: 1\n91: 14\n92: 1\n93: 0\n94: 14\n95: 0\n96: 0\n97: 0\n98: 14\n99: 0\n100: 1\n101: 14\n102: 1\n103: 14\n104: 1\n105: 0\n106: 720\n107: 720\n108: false\n109: 1\n110: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS(placeholder[Int](0))\n val coll3 = box2.tokens\n val tuple4 = coll1(placeholder[Int](1))\n val tuple5 = coll3(placeholder[Int](2))\n val tuple6 = coll1(placeholder[Int](3))\n val tuple7 = coll3(placeholder[Int](4))\n val tuple8 = SELF.R4[(Long, Long)].get\n val bool9 = tuple8 == box2.R4[(Long, Long)].get\n val prop10 = SELF.R5[SigmaProp].get\n val prop11 = box2.R5[SigmaProp].get\n val tuple12 = SELF.R6[(Long, Long)].get\n val l13 = tuple12._2\n val tuple14 = box2.R6[(Long, Long)].get\n val l15 = tuple14._2\n val bool16 = allOf(\n Coll[Boolean](\n coll1(placeholder[Int](5))._1 == coll3(\n placeholder[Int](6)\n )._1, tuple4._1 == tuple5._1, tuple6._1 == tuple7._1, SELF.propositionBytes == box2.propositionBytes, bool9, prop10 == prop11, l13 == l15\n )\n )\n val l17 = tuple4._2\n val l18 = tuple5._2\n val bool19 = l17 > l18\n val l20 = tuple6._2\n val l21 = tuple7._2\n val bool22 = l20 > l21\n val l23 = SELF.value\n val l24 = box2.value\n val bool25 = allOf(Coll[Boolean](bool16, bool19, bool22, l23 < l24))\n val bool26 = l17 < l18\n val bool27 = l20 < l21\n val bool28 = allOf(Coll[Boolean](bool16, bool26, bool27, l23 > l24))\n val bool29 = l23 == l24\n val bool30 = allOf(Coll[Boolean](bool16, bool19, bool27, bool29))\n val bool31 = allOf(Coll[Boolean](bool16, bool26, bool22, bool29))\n val l32 = tuple12._1\n val coll33 = prop10.propBytes\n val coll34 = SELF.R7[Coll[Long]].get\n val coll35 = box2.R7[Coll[Long]].get\n val coll36 = SELF.R8[Coll[Long]].get\n val coll37 = box2.R8[Coll[Long]].get\n val l38 = SELF.R9[Long].get\n val l39 = box2.R9[Long].get\n if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n val bi40 = tuple8._1 - l17.toBigInt\n val bi41 = placeholder[BigInt](7)\n val bi42 = placeholder[BigInt](8)\n val bi43 = l23 - placeholder[Long](9).toBigInt\n val bi44 = tuple8._2 - l20.toBigInt\n val opt45 = getVar[SigmaProp](0.toByte)\n val bi46 = min(\n placeholder[BigInt](10) * bi41 / placeholder[BigInt](11), bi40 * CONTEXT.dataInputs(placeholder[Int](12)).R4[Long].get.toBigInt / bi42 / bi43\n )\n val bi47 = bi41 - bi46\n val func48 = {(l48: Long) => l48.toBigInt * bi47 * bi43 / bi44 / bi41 }\n val func49 = {(l49: Long) => l49.toBigInt * bi46 * bi43 / bi40 / bi41 }\n val bi50 = if (bool25) { l24 - l23.toBigInt } else {\n if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func48(l21 - l20) } else { func49(l18 - l17) } }\n }\n val bi51 = placeholder[BigInt](13) * bi50 / bi42\n val bi52 = placeholder[BigInt](14)\n val tuple53 = (coll33, if (l32 < l13) { placeholder[BigInt](15) * bi50 / bi42 * l13 - l32.toBigInt / l13.toBigInt } else { bi52 })\n val tuple54 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi50 / bi42)\n val tuple55 = (Coll[Byte](placeholder[Byte](18)), bi52)\n val coll56 = if (bool31 || bool30) {\n if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, tuple54, (opt45.get.propBytes, bi51)) } else {\n Coll[(Coll[Byte], BigInt)](tuple53, tuple54, tuple55)\n }\n } else {\n if (opt45.isDefined) { Coll[(Coll[Byte], BigInt)](tuple53, (opt45.get.propBytes, bi51), tuple55) } else {\n Coll[(Coll[Byte], BigInt)](tuple53, tuple55, tuple55)\n }\n }\n val tuple57 = coll56(placeholder[Int](19))\n val bi58 = tuple57._2\n val tuple59 = coll56(placeholder[Int](20))\n val bi60 = tuple59._2\n val box61 = OUTPUTS(placeholder[Int](21))\n val coll62 = tuple59._1\n val bool63 = bi60 > bi52\n val bool64 = allOf(Coll[Boolean]((if (bi58 > bi52) {(\n val box64 = if (bi60 <= bi52) { box61 } else { OUTPUTS(placeholder[Int](22)) }\n allOf(Coll[Boolean](box64.propositionBytes == tuple57._1, box64.value.toBigInt == bi58 + placeholder[BigInt](23)))\n )} else { placeholder[Boolean](24) } && if (opt45.isDefined) { if (bool63) {(\n val box64 = if (bi60 <= bi52) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n allOf(Coll[Boolean](box64.propositionBytes == coll62, box64.value.toBigInt == bi60 + placeholder[BigInt](27)))\n )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool63) {(\n val coll64 = box61.propositionBytes\n val box65 = INPUTS(INPUTS.size - placeholder[Int](30))\n allOf(Coll[Boolean](coll64 == coll62, coll64 == box65.propositionBytes, box61.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box61.value.toBigInt == box65.value.toBigInt + bi60 + placeholder[BigInt](33)))\n )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l32.toBigInt == bi58, l15 == l13))\n val bool65 = allOf(Coll[Boolean](coll34 == coll35, coll36 == coll37, l38 == l39))\n val func66 = {(coll66: Coll[Long]) => coll66.fold(placeholder[Long](36), {(tuple68: (Long, Long)) => tuple68._1 + tuple68._2 }).toBigInt }\n if (bool25) {(\n val bi67 = l24 - l23.toBigInt\n val bi68 = bi41 - bi41 / bi42\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool16, l17 - l18.toBigInt == bi67 * bi40 * bi68 / bi43 / bi41, l20 - l21.toBigInt == bi67 * bi44 * bi68 / bi43 / bi41, placeholder[Boolean](\n 37\n ), bool64, bool65\n )\n )\n )\n )} else { if (bool28) {(\n val bi67 = l23 - l24.toBigInt\n val bi68 = bi43 * bi41 - bi41 / placeholder[BigInt](38)\n sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi67 * bi40 * bi41 / bi68, l21 - l20.toBigInt == bi67 * bi44 * bi41 / bi68, placeholder[Boolean](39), bool64, bool65)))\n )} else { if (bool30) {(\n val l67 = l21 - l20\n val bi68 = func66(coll37)\n val bi69 = func66(coll35)\n val i70 = HEIGHT.toLong - l38 / placeholder[Int](40).toLong.toInt\n val bool71 = i70 == placeholder[Int](41)\n val bool72 = i70 > placeholder[Int](42)\n val i73 = placeholder[Int](43) - i70\n sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](44) + bi41 / placeholder[BigInt](45) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi44 * bi47 * bi40 / bi41 / bi46, placeholder[Boolean](46), l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll37.size == placeholder[Int](47), if (bool71) { coll36(placeholder[Int](48)) } else { placeholder[Long](49) } == coll37(placeholder[Int](50)), if (bool72) { coll37.slice(i70, placeholder[Int](51)) == coll36.slice(placeholder[Int](52), i73) } else { coll37.slice(placeholder[Int](53), placeholder[Int](54)) == coll36.slice(placeholder[Int](55), placeholder[Int](56)) }, coll37.slice(placeholder[Int](57), i70).forall({(l74: Long) => l74 == placeholder[Long](58) }))), allOf(Coll[Boolean](coll35.size == placeholder[Int](59), coll35(placeholder[Int](60)).toBigInt == if (bool71) { coll34(placeholder[Int](61)) } else { placeholder[Long](62) }.toBigInt + func48(l67), if (bool72) { coll35.slice(i70, placeholder[Int](63)) == coll34.slice(placeholder[Int](64), i73) } else { coll35.slice(placeholder[Int](65), placeholder[Int](66)) == coll34.slice(placeholder[Int](67), placeholder[Int](68)) }, coll35.slice(placeholder[Int](69), i70).forall({(l74: Long) => l74 == placeholder[Long](70) }))), l39 == HEIGHT / placeholder[Int](71) * placeholder[Int](72).toLong)))\n )} else { if (bool31) {(\n val l67 = l18 - l17\n val bi68 = func66(coll35)\n val bi69 = func66(coll37)\n val i70 = HEIGHT.toLong - l38 / placeholder[Int](73).toLong.toInt\n val i71 = if (i70 >= placeholder[Int](74)) { placeholder[Int](75) } else { i70 }\n val bool72 = i71 == placeholder[Int](76)\n val bool73 = i71 > placeholder[Int](77)\n val i74 = placeholder[Int](78) - i71\n sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](79), l20 - l21.toBigInt == l67.toBigInt * bi41 - bi41 / placeholder[BigInt](80) + bi41 / placeholder[BigInt](81) * if (bi68 > bi69) { bi52 } else { bi69 - bi68 } / bi43 / bi40 * bi46 * bi44 / bi41 / bi47, l24.toBigInt == l23.toBigInt, bool64, allOf(Coll[Boolean](coll35.size == placeholder[Int](82), if (bool72) { coll34(placeholder[Int](83)) } else { placeholder[Long](84) } == coll35(placeholder[Int](85)), if (bool73) { coll35.slice(i71, placeholder[Int](86)) == coll34.slice(placeholder[Int](87), i74) } else { coll35.slice(placeholder[Int](88), placeholder[Int](89)) == coll34.slice(placeholder[Int](90), placeholder[Int](91)) }, coll35.slice(placeholder[Int](92), i71).forall({(l75: Long) => l75 == placeholder[Long](93) }))), allOf(Coll[Boolean](coll37.size == placeholder[Int](94), coll37(placeholder[Int](95)).toBigInt == if (bool72) { coll36(placeholder[Int](96)) } else { placeholder[Long](97) }.toBigInt + func49(l67), if (bool73) { coll37.slice(i71, placeholder[Int](98)) == coll36.slice(placeholder[Int](99), i74) } else { coll37.slice(placeholder[Int](100), placeholder[Int](101)) == coll36.slice(placeholder[Int](102), placeholder[Int](103)) }, coll37.slice(placeholder[Int](104), i71).forall({(l75: Long) => l75 == placeholder[Long](105) }))), l39 == HEIGHT / placeholder[Int](106) * placeholder[Int](107).toLong)))\n )} else { sigmaProp(placeholder[Boolean](108)) } } } }\n )} else {\n if (INPUTS(placeholder[Int](109)).propositionBytes == coll33) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll34 == coll35, coll36 == coll37, l38 == l39)), prop11 != prop10\n )\n )\n ) && prop10\n } else { sigmaProp(placeholder[Boolean](110)) }\n }\n}",
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"assets": [
{
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}
],
"additionalRegisters": {
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"sigmaType": "SSigmaProp",
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"sigmaType": "(SLong, SLong)",
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},
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},
{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(371032,6c2f2d,...)))}",
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},
{
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"transactionId": "539708eff14226105d85b67c8c3cb38293f8746af445344eb1b91d7111bc98ec",
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"settlementHeight": 1327894,
"ergoTree": "0008cd026e755ff74926eab1986ad39bce2bdb9264d6c0a62835e991459840e22e57191f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6e755f,758c41,...)))}",
"address": "9fMi2dxQmgXXhJfWbCQBBd8ZkDrx1ws9VzVrxKyKvc1TxyvkGiC",
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},
{
"boxId": "a9859cf7a70fce1450d0a6a8f09fbb94ef48d5a11c361102fddf015a7c59e701",
"transactionId": "539708eff14226105d85b67c8c3cb38293f8746af445344eb1b91d7111bc98ec",
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"value": 1000000,
"index": 3,
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"creationHeight": 1327892,
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"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",
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"spentTransactionId": "23ab541b81b895705db647bceb4da15059e3f1c5f3f3a04fbb49cba553ea347e",
"mainChain": true
}
],
"size": 5222,
"isUnconfirmed": false
}