Transaction
ID: 5891f8a217...06af
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
2 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.097 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Outputs (4)
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.09 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.006 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 655,179
Total coins transferred: 3.1 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000274 ERG
Raw Transaction Data
{
"id": "5891f8a217bca0d7c6be569d536108fe2e2740a059124e8d486d3a879c3e06af",
"blockId": "73da58de6c77f5758e463fda1acfd9a81d6acac82dac623edb6d2206557dd4ef",
"inclusionHeight": 1105680,
"timestamp": 1696487257340,
"index": 20,
"globalIndex": 5921337,
"numConfirmations": 655179,
"inputs": [
{
"boxId": "9335414a04bd6cec10d7eed1c01263c95033c75052b2f58afa96c7fac3040855",
"value": 2001000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "6e7539a82617c629bef31360d83ff557a33f98ca8f0f924ca5d1cee7d7a63daa",
"outputTransactionId": "31810cb77d28c1a2ec0ab891a53735e533b43a3e9449d308368148f256d5f795",
"outputIndex": 0,
"outputGlobalIndex": 33212330,
"outputCreatedAt": 1105657,
"outputSettledAt": 1105659,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: 1000000000\n8: CBigInt(100)\n9: 1000000\n10: CBigInt(1000)\n11: 0\n12: CBigInt(66)\n13: CBigInt(4)\n14: SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))\n15: CBigInt(0)\n16: CBigInt(5)\n17: Coll(2,79,113,109,-72,-124,98,-16,-58,-101,-104,-46,12,-62,-127,-64,-27,29,109,26,-87,-85,121,-86,38,110,104,-78,-22,-38,24,-95,-116)\n18: CBigInt(1)\n19: 1\n20: 0\n21: 1\n22: 4\n23: 3\n24: 2\n25: 2\n26: CBigInt(1000000)\n27: true\n28: 3\n29: CBigInt(1000000)\n30: true\n31: true\n32: CBigInt(1000000)\n33: true\n34: true\n35: 0\n36: true\n37: true\n38: 720\n39: 0\n40: 0\n41: 14\n42: CBigInt(2)\n43: true\n44: 14\n45: 0\n46: 0\n47: 0\n48: 14\n49: 0\n50: 1\n51: 14\n52: 1\n53: 14\n54: 1\n55: 0\n56: 14\n57: 0\n58: 0\n59: 0\n60: 14\n61: 0\n62: 1\n63: 14\n64: 1\n65: 14\n66: 1\n67: 0\n68: 2\n69: 2\n70: 720\n71: 14\n72: 14\n73: 0\n74: 0\n75: 14\n76: true\n77: CBigInt(2)\n78: 14\n79: 0\n80: 0\n81: 0\n82: 14\n83: 0\n84: 1\n85: 14\n86: 1\n87: 14\n88: 1\n89: 0\n90: 14\n91: 0\n92: 0\n93: 0\n94: 14\n95: 0\n96: 1\n97: 14\n98: 1\n99: 14\n100: 1\n101: 0\n102: 2\n103: 2",
"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 tuple9 = SELF.R6[(Long, Long)].get\n val l10 = tuple9._2\n val tuple11 = box2.R6[(Long, Long)].get\n val l12 = tuple11._2\n val bool13 = 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, tuple8 == box2.R4[(Long, Long)].get, SELF.R5[\n (Coll[Byte], Coll[Byte])\n ].get == box2.R5[(Coll[Byte], Coll[Byte])].get, l10 == l12\n )\n )\n val l14 = tuple4._2\n val l15 = tuple5._2\n val bool16 = l14 > l15\n val l17 = tuple6._2\n val l18 = tuple7._2\n val bool19 = l17 > l18\n val l20 = SELF.value\n val l21 = box2.value\n val bool22 = allOf(Coll[Boolean](bool13, bool16, bool19, l20 < l21))\n val bi23 = tuple8._1 - l14.toBigInt\n val i24 = placeholder[Int](7)\n val bi25 = placeholder[BigInt](8)\n val bi26 = l20 - placeholder[Long](9).toBigInt\n val bi27 = tuple8._2 - l17.toBigInt\n val bool28 = l14 < l15\n val bool29 = l20 == l21\n val bool30 = allOf(Coll[Boolean](bool13, bool28, bool19, bool29))\n val bool31 = l17 < l18\n val bool32 = allOf(Coll[Boolean](bool13, bool16, bool31, bool29))\n val opt33 = getVar[SigmaProp](0.toByte)\n val bi34 = placeholder[BigInt](10)\n val bi35 = CONTEXT.dataInputs(placeholder[Int](11)).R4[Long].get.toBigInt / bi34\n val bi36 = min(placeholder[BigInt](12) * i24.toBigInt / bi25, bi23 * bi35 / bi26)\n val bi37 = i24.toBigInt - bi36\n val func38 = {(l38: Long) => l38.toBigInt * bi37 * bi26 / bi27 / i24.toBigInt }\n val func39 = {(l39: Long) => l39.toBigInt * bi35 / i24.toBigInt }\n val bool40 = allOf(Coll[Boolean](bool13, bool28, bool31, l20 > l21))\n val bi41 = if (bool22) { l21 - l20.toBigInt } else {\n if (bool40) { l20 - l21.toBigInt } else { if (bool32) { func38(l18 - l17) } else { func39(l15 - l14) } }\n }\n val bi42 = placeholder[BigInt](13) * bi41 / bi34\n val prop43 = placeholder[SigmaProp](14)\n val l44 = tuple9._1\n val bi45 = placeholder[BigInt](15)\n val tuple46 = (prop43.propBytes, if (l44 < l10) { placeholder[BigInt](16) * bi41 / bi34 * l10 - l44.toBigInt / l10.toBigInt } else { bi45 })\n val tuple47 = (placeholder[Coll[Byte]](17), placeholder[BigInt](18) * bi41 / bi34)\n val tuple48 = (Coll[Byte](placeholder[Byte](19)), bi45)\n val coll49 = if (bool30 || bool32) {\n if (opt33.isDefined) { Coll[(Coll[Byte], BigInt)](tuple46, (opt33.get.propBytes, bi42), tuple47) } else {\n Coll[(Coll[Byte], BigInt)](tuple46, tuple48, tuple47)\n }\n } else {\n if (opt33.isDefined) { Coll[(Coll[Byte], BigInt)](tuple46, (opt33.get.propBytes, bi42), tuple48) } else {\n Coll[(Coll[Byte], BigInt)](tuple46, tuple48, tuple48)\n }\n }\n val tuple50 = coll49(placeholder[Int](20))\n val bi51 = tuple50._2\n val tuple52 = coll49(placeholder[Int](21))\n val bi53 = tuple52._2\n val bool54 = bi53 > bi45\n val box55 = if (bool54) { OUTPUTS(placeholder[Int](22)) } else { OUTPUTS(placeholder[Int](23)) }\n val tuple56 = coll49(placeholder[Int](24))\n val bi57 = tuple56._2\n val bool58 = allOf(Coll[Boolean]((if (bi51 > bi45) {(\n val box58 = OUTPUTS(placeholder[Int](25))\n allOf(Coll[Boolean](box58.propositionBytes == tuple50._1, box58.value.toBigInt == bi51 + placeholder[BigInt](26)))\n )} else { placeholder[Boolean](27) } && if (opt33.isDefined) { if (bool54) {(\n val box58 = OUTPUTS(placeholder[Int](28))\n allOf(Coll[Boolean](box58.propositionBytes == tuple52._1, box58.value.toBigInt == bi53 + placeholder[BigInt](29)))\n )} else { placeholder[Boolean](30) } } else { placeholder[Boolean](31) }) && if (bool32 || bool30) { if (bi57 > bi45) { allOf(Coll[Boolean](box55.propositionBytes == tuple56._1, box55.value.toBigInt == bi57 + placeholder[BigInt](32))) } else { placeholder[Boolean](33) } } else { placeholder[Boolean](34) }, tuple11._1 - l44.toBigInt == bi51, l12 == l10))\n val coll59 = SELF.R7[Coll[Long]].get\n val coll60 = box2.R7[Coll[Long]].get\n val coll61 = SELF.R8[Coll[Long]].get\n val coll62 = box2.R8[Coll[Long]].get\n val l63 = SELF.R9[Long].get\n val l64 = box2.R9[Long].get\n val bool65 = allOf(Coll[Boolean](coll59 == coll60, coll61 == coll62, l63 == l64))\n val func66 = {(coll66: Coll[Long]) => coll66.fold(placeholder[Long](35), {(tuple68: (Long, Long)) => tuple68._1 + tuple68._2 }).toBigInt }\n if (bool22) {(\n val bi67 = l21 - l20.toBigInt\n val bi68 = i24.toBigInt - i24.toBigInt / bi25\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool13, l14 - l15.toBigInt == bi67 * bi23 * bi68 / bi26 / i24.toBigInt, l17 - l18.toBigInt == bi67 * bi27 * bi68 / bi26 / i24.toBigInt, placeholder[\n Boolean\n ](36), bool58, bool65\n )\n )\n )\n )} else { if (bool40) {(\n val bi67 = i24.toBigInt - i24.toBigInt / bi25\n val bi68 = l21 - l20.toBigInt * i24.toBigInt / bi67\n val bi69 = bi26 * bi67\n sigmaProp(allOf(Coll[Boolean](bool13, l14 - l15.toBigInt == bi68 * bi23 * i24.toBigInt / bi69, l17 - l18.toBigInt == bi68 * bi27 * i24.toBigInt / bi69, placeholder[Boolean](37), bool58, bool65)))\n )} else { if (bool32) {(\n val l67 = l18 - l17\n val bi68 = func66(coll62)\n val bi69 = func66(coll60)\n val i70 = HEIGHT.toLong - l63 / placeholder[Int](38).toLong.toInt\n val bool71 = i70 == placeholder[Int](39)\n val bool72 = i70 > placeholder[Int](40)\n val i73 = placeholder[Int](41) - i70\n sigmaProp(allOf(Coll[Boolean](bool13, l14 - l15.toBigInt == l67.toBigInt * i24.toBigInt - i24.toBigInt / bi25 + i24.toBigInt / placeholder[BigInt](42) * if (bi68 > bi69) { bi45 } else { bi69 - bi68 } / bi26 * bi37 / i24.toBigInt / bi36 * bi23 / bi27, placeholder[Boolean](43), l21.toBigInt == l20.toBigInt, bool58, allOf(Coll[Boolean](coll62.size == placeholder[Int](44), if (bool71) { coll61(placeholder[Int](45)) } else { placeholder[Long](46) } == coll62(placeholder[Int](47)), if (bool72) { coll62.slice(i70, placeholder[Int](48)) == coll61.slice(placeholder[Int](49), i73) } else { coll62.slice(placeholder[Int](50), placeholder[Int](51)) == coll61.slice(placeholder[Int](52), placeholder[Int](53)) }, coll62.slice(placeholder[Int](54), i70).forall({(l74: Long) => l74 == placeholder[Long](55) }))), allOf(Coll[Boolean](coll60.size == placeholder[Int](56), coll60(placeholder[Int](57)).toBigInt == if (bool71) { coll59(placeholder[Int](58)) } else { placeholder[Long](59) }.toBigInt + func38(l67), if (bool72) { coll60.slice(i70, placeholder[Int](60)) == coll59.slice(placeholder[Int](61), i73) } else { coll60.slice(placeholder[Int](62), placeholder[Int](63)) == coll59.slice(placeholder[Int](64), placeholder[Int](65)) }, coll60.slice(placeholder[Int](66), i70).forall({(l74: Long) => l74 == placeholder[Long](67) }))), (l64 <= HEIGHT + placeholder[Int](68).toLong) || (l64 >= HEIGHT - placeholder[Int](69).toLong))))\n )} else { if (bool30) {(\n val l67 = l15 - l14\n val bi68 = func66(coll60)\n val bi69 = func66(coll62)\n val i70 = HEIGHT.toLong - l63 / placeholder[Int](70).toLong.toInt\n val i71 = if (i70 >= placeholder[Int](71)) { placeholder[Int](72) } else { i70 }\n val bool72 = i71 == placeholder[Int](73)\n val bool73 = i71 > placeholder[Int](74)\n val i74 = placeholder[Int](75) - i71\n sigmaProp(allOf(Coll[Boolean](bool13, placeholder[Boolean](76), l17 - l18.toBigInt == l67.toBigInt * i24.toBigInt - i24.toBigInt / bi25 + i24.toBigInt / placeholder[BigInt](77) * if (bi68 > bi69) { bi45 } else { bi69 - bi68 } / bi26 / i24.toBigInt * bi27 / bi23 * bi36 / bi37, l21.toBigInt == l20.toBigInt, bool58, allOf(Coll[Boolean](coll60.size == placeholder[Int](78), if (bool72) { coll59(placeholder[Int](79)) } else { placeholder[Long](80) } == coll60(placeholder[Int](81)), if (bool73) { coll60.slice(i71, placeholder[Int](82)) == coll59.slice(placeholder[Int](83), i74) } else { coll60.slice(placeholder[Int](84), placeholder[Int](85)) == coll59.slice(placeholder[Int](86), placeholder[Int](87)) }, coll60.slice(placeholder[Int](88), i71).forall({(l75: Long) => l75 == placeholder[Long](89) }))), allOf(Coll[Boolean](coll62.size == placeholder[Int](90), coll62(placeholder[Int](91)).toBigInt == if (bool72) { coll61(placeholder[Int](92)) } else { placeholder[Long](93) }.toBigInt + func39(l67), if (bool73) { coll62.slice(i71, placeholder[Int](94)) == coll61.slice(placeholder[Int](95), i74) } else { coll62.slice(placeholder[Int](96), placeholder[Int](97)) == coll61.slice(placeholder[Int](98), placeholder[Int](99)) }, coll62.slice(placeholder[Int](100), i71).forall({(l75: Long) => l75 == placeholder[Long](101) }))), (l64 <= HEIGHT + placeholder[Int](102).toLong) || (l64 >= HEIGHT - placeholder[Int](103).toLong))))\n )} else { prop43 } } } }\n}",
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"outputBlockId": "fb2c2194c32799cf93918c09f1b41c50cf9515962081a72cfa65d17aeb4a0ee6",
"outputTransactionId": "a146cf315e8aa1b6d4ceee120fc4908835da6f1c1b5c8a212a266617728203cb",
"outputIndex": 2,
"outputGlobalIndex": 27310750,
"outputCreatedAt": 958179,
"outputSettledAt": 958181,
"ergoTree": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))}",
"address": "9f83nJY4x9QkHmeek6PJMcTrf2xcaHAT3j5HD5sANXibXjMUixn",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "d03c49fb34eb319b77d79edd89aaadd38dad9b19efe6e41d9f60e42a5179fe31",
"value": 10000000,
"index": 0,
"outputBlockId": "e142c5012eac877fa680cfe197282d620700bf6320bfc18ce2cc26b1e25633f6",
"outputTransactionId": "c01d85700d39275db305e3966d3d5cec110445446e19520a326289b9f8b86442",
"outputIndex": 0,
"ergoTree": "1004040204000e2005fd350e60df5f35c1ca457687abf54e2f03b92f8e2c1ebbba912fc42acfeda40e20de408c789d16fb663f1daa87ce94bf38bf527ca067379308393f2a82ae1cafc5d801d6018cb2db6308b2a473000073010001d1ec93720173029372017303",
"address": "PViBL5acX6PkLJoBTYFtvvdQ4r1g3RWoSywdGnhUjAJ1PZkEdmjCjTUPCFL6sNBmovRNV8E8PMDFjFuN7V6T4RGbGkRZpfR17aUAXQWfwncceVAa9PMobY3snjHy5xUH8z8cxbBHt2QLhUkrJzJx",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05dad8a7d0cabc1c",
"sigmaType": "SLong",
"renderedValue": "62613459629613"
},
"R5": {
"serializedValue": "048c03",
"sigmaType": "SInt",
"renderedValue": "198"
}
}
}
],
"outputs": [
{
"boxId": "fe1afbd399627fe59fad0e2d388208383bce7f919d4f083ce4fca98e3c5ef08d",
"transactionId": "5891f8a217bca0d7c6be569d536108fe2e2740a059124e8d486d3a879c3e06af",
"blockId": "73da58de6c77f5758e463fda1acfd9a81d6acac82dac623edb6d2206557dd4ef",
"value": 3001000000,
"index": 0,
"globalIndex": 33213241,
"creationHeight": 1105677,
"settlementHeight": 1105680,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: 1000000000\n8: CBigInt(100)\n9: 1000000\n10: CBigInt(1000)\n11: 0\n12: CBigInt(66)\n13: CBigInt(4)\n14: SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))\n15: CBigInt(0)\n16: CBigInt(5)\n17: Coll(2,79,113,109,-72,-124,98,-16,-58,-101,-104,-46,12,-62,-127,-64,-27,29,109,26,-87,-85,121,-86,38,110,104,-78,-22,-38,24,-95,-116)\n18: CBigInt(1)\n19: 1\n20: 0\n21: 1\n22: 4\n23: 3\n24: 2\n25: 2\n26: CBigInt(1000000)\n27: true\n28: 3\n29: CBigInt(1000000)\n30: true\n31: true\n32: CBigInt(1000000)\n33: true\n34: true\n35: 0\n36: true\n37: true\n38: 720\n39: 0\n40: 0\n41: 14\n42: CBigInt(2)\n43: true\n44: 14\n45: 0\n46: 0\n47: 0\n48: 14\n49: 0\n50: 1\n51: 14\n52: 1\n53: 14\n54: 1\n55: 0\n56: 14\n57: 0\n58: 0\n59: 0\n60: 14\n61: 0\n62: 1\n63: 14\n64: 1\n65: 14\n66: 1\n67: 0\n68: 2\n69: 2\n70: 720\n71: 14\n72: 14\n73: 0\n74: 0\n75: 14\n76: true\n77: CBigInt(2)\n78: 14\n79: 0\n80: 0\n81: 0\n82: 14\n83: 0\n84: 1\n85: 14\n86: 1\n87: 14\n88: 1\n89: 0\n90: 14\n91: 0\n92: 0\n93: 0\n94: 14\n95: 0\n96: 1\n97: 14\n98: 1\n99: 14\n100: 1\n101: 0\n102: 2\n103: 2",
"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 tuple9 = SELF.R6[(Long, Long)].get\n val l10 = tuple9._2\n val tuple11 = box2.R6[(Long, Long)].get\n val l12 = tuple11._2\n val bool13 = 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, tuple8 == box2.R4[(Long, Long)].get, SELF.R5[\n (Coll[Byte], Coll[Byte])\n ].get == box2.R5[(Coll[Byte], Coll[Byte])].get, l10 == l12\n )\n )\n val l14 = tuple4._2\n val l15 = tuple5._2\n val bool16 = l14 > l15\n val l17 = tuple6._2\n val l18 = tuple7._2\n val bool19 = l17 > l18\n val l20 = SELF.value\n val l21 = box2.value\n val bool22 = allOf(Coll[Boolean](bool13, bool16, bool19, l20 < l21))\n val bi23 = tuple8._1 - l14.toBigInt\n val i24 = placeholder[Int](7)\n val bi25 = placeholder[BigInt](8)\n val bi26 = l20 - placeholder[Long](9).toBigInt\n val bi27 = tuple8._2 - l17.toBigInt\n val bool28 = l14 < l15\n val bool29 = l20 == l21\n val bool30 = allOf(Coll[Boolean](bool13, bool28, bool19, bool29))\n val bool31 = l17 < l18\n val bool32 = allOf(Coll[Boolean](bool13, bool16, bool31, bool29))\n val opt33 = getVar[SigmaProp](0.toByte)\n val bi34 = placeholder[BigInt](10)\n val bi35 = CONTEXT.dataInputs(placeholder[Int](11)).R4[Long].get.toBigInt / bi34\n val bi36 = min(placeholder[BigInt](12) * i24.toBigInt / bi25, bi23 * bi35 / bi26)\n val bi37 = i24.toBigInt - bi36\n val func38 = {(l38: Long) => l38.toBigInt * bi37 * bi26 / bi27 / i24.toBigInt }\n val func39 = {(l39: Long) => l39.toBigInt * bi35 / i24.toBigInt }\n val bool40 = allOf(Coll[Boolean](bool13, bool28, bool31, l20 > l21))\n val bi41 = if (bool22) { l21 - l20.toBigInt } else {\n if (bool40) { l20 - l21.toBigInt } else { if (bool32) { func38(l18 - l17) } else { func39(l15 - l14) } }\n }\n val bi42 = placeholder[BigInt](13) * bi41 / bi34\n val prop43 = placeholder[SigmaProp](14)\n val l44 = tuple9._1\n val bi45 = placeholder[BigInt](15)\n val tuple46 = (prop43.propBytes, if (l44 < l10) { placeholder[BigInt](16) * bi41 / bi34 * l10 - l44.toBigInt / l10.toBigInt } else { bi45 })\n val tuple47 = (placeholder[Coll[Byte]](17), placeholder[BigInt](18) * bi41 / bi34)\n val tuple48 = (Coll[Byte](placeholder[Byte](19)), bi45)\n val coll49 = if (bool30 || bool32) {\n if (opt33.isDefined) { Coll[(Coll[Byte], BigInt)](tuple46, (opt33.get.propBytes, bi42), tuple47) } else {\n Coll[(Coll[Byte], BigInt)](tuple46, tuple48, tuple47)\n }\n } else {\n if (opt33.isDefined) { Coll[(Coll[Byte], BigInt)](tuple46, (opt33.get.propBytes, bi42), tuple48) } else {\n Coll[(Coll[Byte], BigInt)](tuple46, tuple48, tuple48)\n }\n }\n val tuple50 = coll49(placeholder[Int](20))\n val bi51 = tuple50._2\n val tuple52 = coll49(placeholder[Int](21))\n val bi53 = tuple52._2\n val bool54 = bi53 > bi45\n val box55 = if (bool54) { OUTPUTS(placeholder[Int](22)) } else { OUTPUTS(placeholder[Int](23)) }\n val tuple56 = coll49(placeholder[Int](24))\n val bi57 = tuple56._2\n val bool58 = allOf(Coll[Boolean]((if (bi51 > bi45) {(\n val box58 = OUTPUTS(placeholder[Int](25))\n allOf(Coll[Boolean](box58.propositionBytes == tuple50._1, box58.value.toBigInt == bi51 + placeholder[BigInt](26)))\n )} else { placeholder[Boolean](27) } && if (opt33.isDefined) { if (bool54) {(\n val box58 = OUTPUTS(placeholder[Int](28))\n allOf(Coll[Boolean](box58.propositionBytes == tuple52._1, box58.value.toBigInt == bi53 + placeholder[BigInt](29)))\n )} else { placeholder[Boolean](30) } } else { placeholder[Boolean](31) }) && if (bool32 || bool30) { if (bi57 > bi45) { allOf(Coll[Boolean](box55.propositionBytes == tuple56._1, box55.value.toBigInt == bi57 + placeholder[BigInt](32))) } else { placeholder[Boolean](33) } } else { placeholder[Boolean](34) }, tuple11._1 - l44.toBigInt == bi51, l12 == l10))\n val coll59 = SELF.R7[Coll[Long]].get\n val coll60 = box2.R7[Coll[Long]].get\n val coll61 = SELF.R8[Coll[Long]].get\n val coll62 = box2.R8[Coll[Long]].get\n val l63 = SELF.R9[Long].get\n val l64 = box2.R9[Long].get\n val bool65 = allOf(Coll[Boolean](coll59 == coll60, coll61 == coll62, l63 == l64))\n val func66 = {(coll66: Coll[Long]) => coll66.fold(placeholder[Long](35), {(tuple68: (Long, Long)) => tuple68._1 + tuple68._2 }).toBigInt }\n if (bool22) {(\n val bi67 = l21 - l20.toBigInt\n val bi68 = i24.toBigInt - i24.toBigInt / bi25\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool13, l14 - l15.toBigInt == bi67 * bi23 * bi68 / bi26 / i24.toBigInt, l17 - l18.toBigInt == bi67 * bi27 * bi68 / bi26 / i24.toBigInt, placeholder[\n Boolean\n ](36), bool58, bool65\n )\n )\n )\n )} else { if (bool40) {(\n val bi67 = i24.toBigInt - i24.toBigInt / bi25\n val bi68 = l21 - l20.toBigInt * i24.toBigInt / bi67\n val bi69 = bi26 * bi67\n sigmaProp(allOf(Coll[Boolean](bool13, l14 - l15.toBigInt == bi68 * bi23 * i24.toBigInt / bi69, l17 - l18.toBigInt == bi68 * bi27 * i24.toBigInt / bi69, placeholder[Boolean](37), bool58, bool65)))\n )} else { if (bool32) {(\n val l67 = l18 - l17\n val bi68 = func66(coll62)\n val bi69 = func66(coll60)\n val i70 = HEIGHT.toLong - l63 / placeholder[Int](38).toLong.toInt\n val bool71 = i70 == placeholder[Int](39)\n val bool72 = i70 > placeholder[Int](40)\n val i73 = placeholder[Int](41) - i70\n sigmaProp(allOf(Coll[Boolean](bool13, l14 - l15.toBigInt == l67.toBigInt * i24.toBigInt - i24.toBigInt / bi25 + i24.toBigInt / placeholder[BigInt](42) * if (bi68 > bi69) { bi45 } else { bi69 - bi68 } / bi26 * bi37 / i24.toBigInt / bi36 * bi23 / bi27, placeholder[Boolean](43), l21.toBigInt == l20.toBigInt, bool58, allOf(Coll[Boolean](coll62.size == placeholder[Int](44), if (bool71) { coll61(placeholder[Int](45)) } else { placeholder[Long](46) } == coll62(placeholder[Int](47)), if (bool72) { coll62.slice(i70, placeholder[Int](48)) == coll61.slice(placeholder[Int](49), i73) } else { coll62.slice(placeholder[Int](50), placeholder[Int](51)) == coll61.slice(placeholder[Int](52), placeholder[Int](53)) }, coll62.slice(placeholder[Int](54), i70).forall({(l74: Long) => l74 == placeholder[Long](55) }))), allOf(Coll[Boolean](coll60.size == placeholder[Int](56), coll60(placeholder[Int](57)).toBigInt == if (bool71) { coll59(placeholder[Int](58)) } else { placeholder[Long](59) }.toBigInt + func38(l67), if (bool72) { coll60.slice(i70, placeholder[Int](60)) == coll59.slice(placeholder[Int](61), i73) } else { coll60.slice(placeholder[Int](62), placeholder[Int](63)) == coll59.slice(placeholder[Int](64), placeholder[Int](65)) }, coll60.slice(placeholder[Int](66), i70).forall({(l74: Long) => l74 == placeholder[Long](67) }))), (l64 <= HEIGHT + placeholder[Int](68).toLong) || (l64 >= HEIGHT - placeholder[Int](69).toLong))))\n )} else { if (bool30) {(\n val l67 = l15 - l14\n val bi68 = func66(coll60)\n val bi69 = func66(coll62)\n val i70 = HEIGHT.toLong - l63 / placeholder[Int](70).toLong.toInt\n val i71 = if (i70 >= placeholder[Int](71)) { placeholder[Int](72) } else { i70 }\n val bool72 = i71 == placeholder[Int](73)\n val bool73 = i71 > placeholder[Int](74)\n val i74 = placeholder[Int](75) - i71\n sigmaProp(allOf(Coll[Boolean](bool13, placeholder[Boolean](76), l17 - l18.toBigInt == l67.toBigInt * i24.toBigInt - i24.toBigInt / bi25 + i24.toBigInt / placeholder[BigInt](77) * if (bi68 > bi69) { bi45 } else { bi69 - bi68 } / bi26 / i24.toBigInt * bi27 / bi23 * bi36 / bi37, l21.toBigInt == l20.toBigInt, bool58, allOf(Coll[Boolean](coll60.size == placeholder[Int](78), if (bool72) { coll59(placeholder[Int](79)) } else { placeholder[Long](80) } == coll60(placeholder[Int](81)), if (bool73) { coll60.slice(i71, placeholder[Int](82)) == coll59.slice(placeholder[Int](83), i74) } else { coll60.slice(placeholder[Int](84), placeholder[Int](85)) == coll59.slice(placeholder[Int](86), placeholder[Int](87)) }, coll60.slice(placeholder[Int](88), i71).forall({(l75: Long) => l75 == placeholder[Long](89) }))), allOf(Coll[Boolean](coll62.size == placeholder[Int](90), coll62(placeholder[Int](91)).toBigInt == if (bool72) { coll61(placeholder[Int](92)) } else { placeholder[Long](93) }.toBigInt + func39(l67), if (bool73) { coll62.slice(i71, placeholder[Int](94)) == coll61.slice(placeholder[Int](95), i74) } else { coll62.slice(placeholder[Int](96), placeholder[Int](97)) == coll61.slice(placeholder[Int](98), placeholder[Int](99)) }, coll62.slice(placeholder[Int](100), i71).forall({(l75: Long) => l75 == placeholder[Long](101) }))), (l64 <= HEIGHT + placeholder[Int](102).toLong) || (l64 >= HEIGHT - placeholder[Int](103).toLong))))\n )} else { prop43 } } } }\n}",
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{
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},
{
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"decimals": 0,
"type": "EIP-004"
},
{
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"decimals": 0,
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}
],
"additionalRegisters": {
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"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[90dc91bd811b3a8c076a703efe5f3643762f80c83a070a6dd96b2722017ebf51,c4c0cd970a3b0e9e08527e9170786cdd8f5d8065f322059b25ded95a33b8f54a]"
},
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[5000000,2500000000000000]"
},
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"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0,0,0,0,0,0,0,0,0,0,0,0]"
},
"R7": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0,0,0,0,0,0,0,0,0,0,0,0]"
},
"R9": {
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"sigmaType": "SLong",
"renderedValue": "0"
},
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"sigmaType": "(SLong, SLong)",
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},
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"mainChain": true
},
{
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"settlementHeight": 1105680,
"ergoTree": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))}",
"address": "9f83nJY4x9QkHmeek6PJMcTrf2xcaHAT3j5HD5sANXibXjMUixn",
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{
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{
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}
],
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}