Transaction
ID: a21b93370a...a526
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
3.11 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.09 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.2 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 657,684
Total coins transferred: 3.2 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000221 ERG
Raw Transaction Data
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"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))\n8: 1000000000\n9: CBigInt(100)\n10: 1000000\n11: CBigInt(1000)\n12: 0\n13: CBigInt(66)\n14: CBigInt(4)\n15: CBigInt(0)\n16: CBigInt(5)\n17: 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)\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: 720\n69: 720\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: 720\n103: 720\n104: 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 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 bool23 = l14 < l15\n val bool24 = l17 < l18\n val bool25 = allOf(Coll[Boolean](bool13, bool23, bool24, l20 > l21))\n val bool26 = l20 == l21\n val bool27 = allOf(Coll[Boolean](bool13, bool16, bool24, bool26))\n val bool28 = allOf(Coll[Boolean](bool13, bool23, bool19, bool26))\n val prop29 = placeholder[SigmaProp](7)\n val l30 = tuple9._1\n val coll31 = SELF.R7[Coll[Long]].get\n val coll32 = box2.R7[Coll[Long]].get\n val coll33 = SELF.R8[Coll[Long]].get\n val coll34 = box2.R8[Coll[Long]].get\n val l35 = SELF.R9[Long].get\n val l36 = box2.R9[Long].get\n if (anyOf(Coll[Boolean](bool22, bool25, bool27, bool28))) {(\n val bi37 = tuple8._1 - l14.toBigInt\n val i38 = placeholder[Int](8)\n val bi39 = placeholder[BigInt](9)\n val bi40 = l20 - placeholder[Long](10).toBigInt\n val bi41 = tuple8._2 - l17.toBigInt\n val opt42 = getVar[SigmaProp](0.toByte)\n val bi43 = placeholder[BigInt](11)\n val bi44 = CONTEXT.dataInputs(placeholder[Int](12)).R4[Long].get.toBigInt / bi43\n val bi45 = min(placeholder[BigInt](13) * i38.toBigInt / bi39, bi37 * bi44 / bi40)\n val bi46 = i38.toBigInt - bi45\n val func47 = {(l47: Long) => l47.toBigInt * bi46 * bi40 / bi41 / i38.toBigInt }\n val func48 = {(l48: Long) => l48.toBigInt * bi44 / i38.toBigInt }\n val bi49 = if (bool22) { l21 - l20.toBigInt } else {\n if (bool25) { l20 - l21.toBigInt } else { if (bool27) { func47(l18 - l17) } else { func48(l15 - l14) } }\n }\n val bi50 = placeholder[BigInt](14) * bi49 / bi43\n val bi51 = placeholder[BigInt](15)\n val tuple52 = (prop29.propBytes, if (l30 < l10) { placeholder[BigInt](16) * bi49 / bi43 * l10 - l30.toBigInt / l10.toBigInt } else { bi51 })\n val tuple53 = (placeholder[Coll[Byte]](17), placeholder[BigInt](18) * bi49 / bi43)\n val tuple54 = (Coll[Byte](placeholder[Byte](19)), bi51)\n val coll55 = if (bool28 || bool27) {\n if (opt42.isDefined) { Coll[(Coll[Byte], BigInt)](tuple52, (opt42.get.propBytes, bi50), tuple53) } else {\n Coll[(Coll[Byte], BigInt)](tuple52, tuple54, tuple53)\n }\n } else {\n if (opt42.isDefined) { Coll[(Coll[Byte], BigInt)](tuple52, (opt42.get.propBytes, bi50), tuple54) } else {\n Coll[(Coll[Byte], BigInt)](tuple52, tuple54, tuple54)\n }\n }\n val tuple56 = coll55(placeholder[Int](20))\n val bi57 = tuple56._2\n val tuple58 = coll55(placeholder[Int](21))\n val bi59 = tuple58._2\n val bool60 = bi59 > bi51\n val box61 = if (bool60) { OUTPUTS(placeholder[Int](22)) } else { OUTPUTS(placeholder[Int](23)) }\n val tuple62 = coll55(placeholder[Int](24))\n val bi63 = tuple62._2\n val bool64 = allOf(Coll[Boolean]((if (bi57 > bi51) {(\n val box64 = OUTPUTS(placeholder[Int](25))\n allOf(Coll[Boolean](box64.propositionBytes == tuple56._1, box64.value.toBigInt == bi57 + placeholder[BigInt](26)))\n )} else { placeholder[Boolean](27) } && if (opt42.isDefined) { if (bool60) {(\n val box64 = OUTPUTS(placeholder[Int](28))\n allOf(Coll[Boolean](box64.propositionBytes == tuple58._1, box64.value.toBigInt == bi59 + placeholder[BigInt](29)))\n )} else { placeholder[Boolean](30) } } else { placeholder[Boolean](31) }) && if (bool27 || bool28) { if (bi63 > bi51) { allOf(Coll[Boolean](box61.propositionBytes == tuple62._1, box61.value.toBigInt == bi63 + placeholder[BigInt](32))) } else { placeholder[Boolean](33) } } else { placeholder[Boolean](34) }, tuple11._1 - l30.toBigInt == bi57, l12 == l10))\n val bool65 = allOf(Coll[Boolean](coll31 == coll32, coll33 == coll34, l35 == l36))\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 = i38.toBigInt - i38.toBigInt / bi39\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool13, l14 - l15.toBigInt == bi67 * bi37 * bi68 / bi40 / i38.toBigInt, l17 - l18.toBigInt == bi67 * bi41 * bi68 / bi40 / i38.toBigInt, placeholder[\n Boolean\n ](36), bool64, bool65\n )\n )\n )\n )} else { if (bool25) {(\n val bi67 = i38.toBigInt - i38.toBigInt / bi39\n val bi68 = l21 - l20.toBigInt * i38.toBigInt / bi67\n val bi69 = bi40 * bi67\n sigmaProp(allOf(Coll[Boolean](bool13, l14 - l15.toBigInt == bi68 * bi37 * i38.toBigInt / bi69, l17 - l18.toBigInt == bi68 * bi41 * i38.toBigInt / bi69, placeholder[Boolean](37), bool64, bool65)))\n )} else { if (bool27) {(\n val l67 = l18 - l17\n val bi68 = func66(coll34)\n val bi69 = func66(coll32)\n val i70 = HEIGHT.toLong - l35 / 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 * i38.toBigInt - i38.toBigInt / bi39 + i38.toBigInt / placeholder[BigInt](42) * if (bi68 > bi69) { bi51 } else { bi69 - bi68 } / bi40 * bi46 / i38.toBigInt / bi45 * bi37 / bi41, placeholder[Boolean](43), l21.toBigInt == l20.toBigInt, bool64, allOf(Coll[Boolean](coll34.size == placeholder[Int](44), if (bool71) { coll33(placeholder[Int](45)) } else { placeholder[Long](46) } == coll34(placeholder[Int](47)), if (bool72) { coll34.slice(i70, placeholder[Int](48)) == coll33.slice(placeholder[Int](49), i73) } else { coll34.slice(placeholder[Int](50), placeholder[Int](51)) == coll33.slice(placeholder[Int](52), placeholder[Int](53)) }, coll34.slice(placeholder[Int](54), i70).forall({(l74: Long) => l74 == placeholder[Long](55) }))), allOf(Coll[Boolean](coll32.size == placeholder[Int](56), coll32(placeholder[Int](57)).toBigInt == if (bool71) { coll31(placeholder[Int](58)) } else { placeholder[Long](59) }.toBigInt + func47(l67), if (bool72) { coll32.slice(i70, placeholder[Int](60)) == coll31.slice(placeholder[Int](61), i73) } else { coll32.slice(placeholder[Int](62), placeholder[Int](63)) == coll31.slice(placeholder[Int](64), placeholder[Int](65)) }, coll32.slice(placeholder[Int](66), i70).forall({(l74: Long) => l74 == placeholder[Long](67) }))), l36 == HEIGHT / placeholder[Int](68) * placeholder[Int](69).toLong)))\n )} else { if (bool28) {(\n val l67 = l15 - l14\n val bi68 = func66(coll32)\n val bi69 = func66(coll34)\n val i70 = HEIGHT.toLong - l35 / 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 * i38.toBigInt - i38.toBigInt / bi39 + i38.toBigInt / placeholder[BigInt](77) * if (bi68 > bi69) { bi51 } else { bi69 - bi68 } / bi40 / i38.toBigInt * bi41 / bi37 * bi45 / bi46, l21.toBigInt == l20.toBigInt, bool64, allOf(Coll[Boolean](coll32.size == placeholder[Int](78), if (bool72) { coll31(placeholder[Int](79)) } else { placeholder[Long](80) } == coll32(placeholder[Int](81)), if (bool73) { coll32.slice(i71, placeholder[Int](82)) == coll31.slice(placeholder[Int](83), i74) } else { coll32.slice(placeholder[Int](84), placeholder[Int](85)) == coll31.slice(placeholder[Int](86), placeholder[Int](87)) }, coll32.slice(placeholder[Int](88), i71).forall({(l75: Long) => l75 == placeholder[Long](89) }))), allOf(Coll[Boolean](coll34.size == placeholder[Int](90), coll34(placeholder[Int](91)).toBigInt == if (bool72) { coll33(placeholder[Int](92)) } else { placeholder[Long](93) }.toBigInt + func48(l67), if (bool73) { coll34.slice(i71, placeholder[Int](94)) == coll33.slice(placeholder[Int](95), i74) } else { coll34.slice(placeholder[Int](96), placeholder[Int](97)) == coll33.slice(placeholder[Int](98), placeholder[Int](99)) }, coll34.slice(placeholder[Int](100), i71).forall({(l75: Long) => l75 == placeholder[Long](101) }))), l36 == HEIGHT / placeholder[Int](102) * placeholder[Int](103).toLong)))\n )} else { sigmaProp(placeholder[Boolean](104)) } } } }\n )} else { prop29 }\n}",
"address": "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",
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],
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},
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{
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