Transaction
ID: b357f857f2...044e
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0036 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.06 ERG
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0026 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0036 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.05 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0016 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 716,694
Total coins transferred: 1.06 ERG
Fees: 0.0016 ERG
Fees per byte: 0.000000318 ERG
Raw Transaction Data
{
"id": "b357f857f2a411fb8632b7bd329c8d14cf794affe9adfcc76d82da1f336b044e",
"blockId": "d28cf5f338dbd4122944e114d194bd27d118ec9a52e945c594f56a3de35db70e",
"inclusionHeight": 1042566,
"timestamp": 1688807104887,
"index": 8,
"globalIndex": 5494852,
"numConfirmations": 716694,
"inputs": [
{
"boxId": "f99b71a00f6dc7f83366f1973e331f56a89e48df84a7b115bdc19ea84c05410e",
"value": 3600000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d28cf5f338dbd4122944e114d194bd27d118ec9a52e945c594f56a3de35db70e",
"outputTransactionId": "9e91ef642c6b722ae30a7d498f5186d9dda64dc4e78c313d903783e66b6c5b9b",
"outputIndex": 1,
"outputGlobalIndex": 30771221,
"outputCreatedAt": 1042564,
"outputSettledAt": 1042566,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 3\n2: 2\n3: Coll(-109,-53,-80,23,-38,-100,49,61,65,-125,-107,-14,10,125,113,-61,-12,-73,-55,-68,-93,50,111,108,-122,47,6,58,79,22,3,-37)\n4: Coll(-16,-92,-111,-83,76,3,13,-65,122,12,-81,104,43,24,-64,84,-58,48,102,68,-91,71,-88,104,120,-28,-84,-71,16,-13,33,-58)\n5: 0\n6: 1\n7: SigmaProp(ProveDlog(ECPoint(6b3415,1b9c7b,...)))\n8: 2\n9: 1\n10: true\n11: 4\n12: 0\n13: 0\n14: 2\n15: 4\n16: 6\n17: 1\n18: -1\n19: 1\n20: 1\n21: 0\n22: Coll(127,0,15,-70,-11,95,-85,126)\n23: 1\n24: 0\n25: 1\n26: 1\n27: 0\n28: 1\n29: 1\n30: 0\n31: 0\n32: 1\n33: 1\n34: 2\n35: 3\n36: Coll(16,12,4,0,4,0,4,0,4,0,5,0,5,0,4,0,1,1,14,32,-27,64,-52,-17,-3,59,-115,-48,-12,1,25,53,118,-52,65,52,103,3,-106,-107,-106,-108,39,-33,-108,69,65,-109,-35,-33,-77,117,5,0,5,0,5,-128,-88,-61,1,-40,2,-42,1,-37,99,8,-78,-92,115,0,0,-42,2,-28,-58,-89,4,8,-107,-19,-111,-79,114,1,115,1,-109,-116,-78,114,1,115,2,0,1,-28,-58,-89)\n37: 2600000\n38: Coll(16,8,4,0,5,-128,-88,-61,1,4,0,5,2,4,0,14,1,48,4,2,5,-128,-88,-61,1,-40,7,-42,1,-78,-91,115,0,0,-42,2,-28,-58,-89,9,68,5,-42,3,-28,-58,114,1,4,14,-42,4,-28,-58,114,1,5,14,-42,5,-28,-58,114,1,7,14,-42,6,-28,-58,114,1,8,14,-42,7,-28,-58,114,1,9,14,-47,-106,-125,2,1,-106,-125,4,1,-109,-63,114,1,-103,-63,-89,115,1)\n39: 0\n40: 1\n41: 2\n42: 0\n43: Coll(21,-62,122,-69,-72,120,-47,-60,88,51,57,-59,-15,-68,102,118,-122,72,19,-91,-83,-51,-56,-71,-109,-102,121,-92,-58,50,71,2)\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1\n49: 1\n50: 56200000\n51: 1000000\n52: 0\n53: 1\n54: 56200000\n55: 2\n56: 1\n57: 5\n58: 4\n59: 1600000\n60: 2\n61: 1\n62: 6\n63: 5\n64: 1000000\n65: -1\n66: 56200000\n67: 1000000\n68: 0\n69: -1\n70: 56200000\n71: 2\n72: 1\n73: 5\n74: 4\n75: 1600000\n76: 2\n77: 1\n78: 6\n79: 5\n80: 1000000\n81: 1055200000\n82: 1000000000\n83: 1055200000\n84: 2\n85: 1\n86: 5\n87: 4\n88: 1600000\n89: 2\n90: 1\n91: 6\n92: 5\n93: 1000000\n94: false\n95: 1\n96: 56200000\n97: 1000000\n98: 0\n99: 1\n100: 56200000\n101: 2\n102: 1\n103: 5\n104: 4\n105: 1600000\n106: 2\n107: 1\n108: 6\n109: 5\n110: 1000000\n111: 1\n112: -1\n113: 56200000\n114: 0\n115: 1\n116: 1\n117: -1\n118: 56200000\n119: 2\n120: 1\n121: 5\n122: 4\n123: 1600000\n124: 2\n125: 1\n126: 6\n127: 5\n128: 1000000\n129: 1055200000\n130: 1000000000\n131: 0\n132: 1\n133: 1055200000\n134: 2\n135: 1\n136: 5\n137: 4\n138: 1600000\n139: 2\n140: 1\n141: 6\n142: 5\n143: 1000000\n144: false\n145: false\n146: false\n147: 50000000\n148: 0\n149: 1600000\n150: 1000000\n151: 0\n152: 0\n153: 1\n154: 0\n155: 0\n156: 0\n157: 1\n158: 1600000\n159: 2\n160: 1000000\n161: false",
"ergoTreeScript": "{\n val tuple1 = SELF.R7[(Long, Long)].get\n val l2 = CONTEXT.headers(placeholder[Int](0)).timestamp\n val bool3 = tuple1._1 <= l2\n val coll4 = SELF.R8[Coll[Boolean]].get\n val bool5 = coll4(placeholder[Int](1))\n val bool6 = coll4(placeholder[Int](2))\n val l7 = tuple1._2\n val coll8 = placeholder[Coll[Byte]](3)\n val coll9 = placeholder[Coll[Byte]](4)\n val coll10 = SELF.R9[Coll[Coll[Byte]]].get\n val coll11 = coll10(placeholder[Int](5))\n val bool12 = coll4(placeholder[Int](6))\n val prop13 = placeholder[SigmaProp](7)\n val func14 = {(bool14: Boolean) =>\n if (bool14 || (INPUTS(placeholder[Int](8)).R5[Long].get == placeholder[Long](9))) { placeholder[Boolean](10) } else {\n OUTPUTS(placeholder[Int](11)).tokens(placeholder[Int](12))._1 == SELF.tokens(placeholder[Int](13))._1\n }\n }\n val coll15 = coll10(placeholder[Int](14))\n val bool16 = coll4(placeholder[Int](15))\n val bool17 = coll4(placeholder[Int](16))\n val coll18 = coll10(placeholder[Int](17))\n if ((bool3 || bool5) || bool6) { if ((l7 > l2) || (l7 == placeholder[Long](18))) {(\n val box19 = getVar[Box](1.toByte).get\n val l20 = SELF.R6[Long].get\n val l21 = l20 + placeholder[Long](19)\n val l22 = box19.R9[Long].get\n val box23 = INPUTS(placeholder[Int](20))\n val box24 = OUTPUTS(placeholder[Int](21))\n val tuple25 = box24.R6[(Coll[(Coll[Byte], Coll[Byte])], (Coll[(Coll[Byte], (Int, Int))], Coll[(Coll[Byte], (Int, Int))]))].get\n val tuple26 = tuple25._2\n val coll27 = placeholder[Coll[Byte]](22)\n val avlTree28 = SELF.R5[AvlTree].get\n val bool29 = l21 == l22\n val box30 = OUTPUTS(placeholder[Int](23))\n val bool31 = if (!bool29) {(\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](24))\n val coll33 = SELF.tokens\n val tuple34 = coll31(placeholder[Int](25))\n val tuple35 = coll33(placeholder[Int](26))\n allOf(Coll[Boolean](tuple32 == (coll33(placeholder[Int](27))._1, placeholder[Long](28)), tuple32._1 == coll9, tuple34 == (tuple35._1, tuple35._2 - placeholder[Long](29)), tuple34._1 == coll8))\n )} else {(\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](30))\n allOf(Coll[Boolean](tuple32 == (SELF.tokens(placeholder[Int](31))._1, placeholder[Long](32)), tuple32._1 == coll9, coll31.size == placeholder[Int](33)))\n )}\n val box32 = OUTPUTS(placeholder[Int](34))\n val box33 = OUTPUTS(placeholder[Int](35))\n sigmaProp(allOf(Coll[Boolean](box19.id == coll8, l21 <= l22, box23.propositionBytes == placeholder[Coll[Byte]](36), allOf(Coll[Boolean](box24.value == placeholder[Long](37), box24.propositionBytes == placeholder[Coll[Byte]](38), box24.tokens(placeholder[Int](39)) == (coll8, placeholder[Long](40)), box24.R4[Int].get == placeholder[Int](41), blake2b256(box24.R5[Coll[(Coll[Byte], Int)]].get.fold(longToByteArray(placeholder[Long](42)), {(tuple34: (Coll[Byte], (Coll[Byte], Int))) =>\n val tuple36 = tuple34._2\n tuple34._1.append(tuple36._1).append(longToByteArray(tuple36._2.toLong))\n })) == placeholder[Coll[Byte]](43), blake2b256(tuple26._2.fold(tuple26._1.fold(tuple25._1.fold(if (box24.R8[Coll[(Coll[Byte], Coll[Byte])]].get(placeholder[Int](44))._2(placeholder[Int](45)).toInt == placeholder[Int](46)) { longToByteArray(placeholder[Long](47)) } else { longToByteArray(placeholder[Long](48)) }, {(tuple34: (Coll[Byte], (Coll[Byte], Coll[Byte]))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val coll38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(coll38.size.toLong)).append(coll38)\n }).append(coll27), {(tuple34: (Coll[Byte], (Coll[Byte], (Int, Int)))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val tuple38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(tuple38._1.toLong)).append(longToByteArray(tuple38._2.toLong))\n }).append(coll27), {(tuple34: (Coll[Byte], (Coll[Byte], (Int, Int)))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val tuple38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(tuple38._1.toLong)).append(longToByteArray(tuple38._2.toLong))\n })) == blake2b256(avlTree28.get(blake2b256(longToByteArray(l20)), getVar[Coll[Byte]](0.toByte).get).get), box24.R7[Coll[Byte]].get == coll8, box24.R9[(SigmaProp, Long)].get == (box23.R4[SigmaProp].get, l20))), if (bool29) { allOf(Coll[Boolean](box30.value == SELF.value, box30.propositionBytes == SELF.propositionBytes, bool31, box30.R4[AvlTree].get.digest == SELF.R4[AvlTree].get.digest, box30.R5[AvlTree].get.digest == avlTree28.digest, box30.R6[Long].get == l21)) } else { allOf(Coll[Boolean](box30.value == SELF.value, box30.propositionBytes == SELF.propositionBytes, bool31, box30.R4[AvlTree].get.digest == SELF.R4[AvlTree].get.digest, box30.R5[AvlTree].get.digest == avlTree28.digest, box30.R6[Long].get == l21, box30.R7[(Long, Long)].get == tuple1, box30.R8[Coll[Boolean]].get == coll4, box30.R9[Coll[Coll[Byte]]].get == coll10)) }, if (bool3) { if (bool12 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll11, placeholder[Long](49)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](50)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](51), box32.tokens(placeholder[Int](52)) == (coll11, placeholder[Long](53)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](54)), if (bool35 && (INPUTS(placeholder[Int](55)).R5[Long].get > placeholder[Long](56))) { OUTPUTS(placeholder[Int](57)) } else { OUTPUTS(placeholder[Int](58)) }.value == placeholder[Long](59), if (bool35 && (INPUTS(placeholder[Int](60)).R5[Long].get > placeholder[Long](61))) { OUTPUTS(placeholder[Int](62)) } else { OUTPUTS(placeholder[Int](63)) }.value >= placeholder[Long](64)))\n )} else { if (bool16 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => (tuple34._1 == coll15) && (tuple34._2 >= placeholder[Long](65)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](66)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](67), box32.propositionBytes == prop13.propBytes, box32.tokens(placeholder[Int](68)) == (coll15, placeholder[Long](69)))), func14(l34 >= placeholder[Long](70)), if (bool35 && (INPUTS(placeholder[Int](71)).R5[Long].get > placeholder[Long](72))) { OUTPUTS(placeholder[Int](73)) } else { OUTPUTS(placeholder[Int](74)) }.value == placeholder[Long](75), if (bool35 && (INPUTS(placeholder[Int](76)).R5[Long].get > placeholder[Long](77))) { OUTPUTS(placeholder[Int](78)) } else { OUTPUTS(placeholder[Int](79)) }.value >= placeholder[Long](80)))\n )} else { if (bool17) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](81)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](82), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](83)), if (bool35 && (INPUTS(placeholder[Int](84)).R5[Long].get > placeholder[Long](85))) { OUTPUTS(placeholder[Int](86)) } else { OUTPUTS(placeholder[Int](87)) }.value == placeholder[Long](88), if (bool35 && (INPUTS(placeholder[Int](89)).R5[Long].get > placeholder[Long](90))) { OUTPUTS(placeholder[Int](91)) } else { OUTPUTS(placeholder[Int](92)) }.value >= placeholder[Long](93)))\n )} else { placeholder[Boolean](94) } } } } else { if (bool5 || (bool6 && bool12)) { if (bool6 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll11, placeholder[Long](95)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](96)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](97), box32.tokens(placeholder[Int](98)) == (coll11, placeholder[Long](99)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](100)), if (bool35 && (INPUTS(placeholder[Int](101)).R5[Long].get > placeholder[Long](102))) { OUTPUTS(placeholder[Int](103)) } else { OUTPUTS(placeholder[Int](104)) }.value == placeholder[Long](105), if (bool35 && (INPUTS(placeholder[Int](106)).R5[Long].get > placeholder[Long](107))) { OUTPUTS(placeholder[Int](108)) } else { OUTPUTS(placeholder[Int](109)) }.value >= placeholder[Long](110)))\n )} else { if (bool5 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll18, placeholder[Long](111)) })) { if (bool16 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => (tuple34._1 == coll15) && (tuple34._2 >= placeholder[Long](112)) })) {(\n val coll34 = box32.tokens\n val l35 = box23.value\n val bool36 = l35 < placeholder[Long](113)\n allOf(Coll[Boolean](allOf(Coll[Boolean](coll34(placeholder[Int](114)) == (coll18, placeholder[Long](115)), coll34(placeholder[Int](116)) == (coll15, placeholder[Long](117)), box32.propositionBytes == prop13.propBytes)), func14(l35 >= placeholder[Long](118)), if (bool36 && (INPUTS(placeholder[Int](119)).R5[Long].get > placeholder[Long](120))) { OUTPUTS(placeholder[Int](121)) } else { OUTPUTS(placeholder[Int](122)) }.value == placeholder[Long](123), if (bool36 && (INPUTS(placeholder[Int](124)).R5[Long].get > placeholder[Long](125))) { OUTPUTS(placeholder[Int](126)) } else { OUTPUTS(placeholder[Int](127)) }.value >= placeholder[Long](128)))\n )} else { if (bool17) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](129)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](130), box32.tokens(placeholder[Int](131)) == (coll18, placeholder[Long](132)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](133)), if (bool35 && (INPUTS(placeholder[Int](134)).R5[Long].get > placeholder[Long](135))) { OUTPUTS(placeholder[Int](136)) } else { OUTPUTS(placeholder[Int](137)) }.value == placeholder[Long](138), if (bool35 && (INPUTS(placeholder[Int](139)).R5[Long].get > placeholder[Long](140))) { OUTPUTS(placeholder[Int](141)) } else { OUTPUTS(placeholder[Int](142)) }.value >= placeholder[Long](143)))\n )} else { placeholder[Boolean](144) } } } else { placeholder[Boolean](145) } } } else { placeholder[Boolean](146) } }, allOf(Coll[Boolean](box33.value == placeholder[Long](147), box33.propositionBytes == prop13.propBytes)))))\n )} else {(\n val box19 = OUTPUTS(placeholder[Int](148))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box19.value == SELF.value - placeholder[Long](149) - placeholder[Long](150), box19.propositionBytes == prop13.propBytes, if (coll4(placeholder[Int](151))) {(\n val tuple20 = box19.tokens(placeholder[Int](152))\n val tuple21 = SELF.tokens(placeholder[Int](153))\n allOf(Coll[Boolean](tuple20 == tuple21, tuple20._1 == coll8, OUTPUTS.map({(box22: Box) => box22.tokens.map({(tuple24: (Coll[Byte], Long)) => tuple24._2 }).fold(placeholder[Long](154), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }) }).fold(placeholder[Long](155), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }) == tuple21._2))\n )} else { OUTPUTS.forall({(box20: Box) => box20.tokens.size == placeholder[Int](156) }) })), OUTPUTS(placeholder[Int](157)).value == placeholder[Long](158), OUTPUTS(placeholder[Int](159)).value >= placeholder[Long](160))))\n )} } else { sigmaProp(placeholder[Boolean](161)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "f0a491ad4c030dbf7a0caf682b18c054c6306644a547a86878e4acb910f321c6",
"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "93cbb017da9c313d418395f20a7d71c3f4b7c9bca3326f6c862f063a4f1603db",
"index": 1,
"amount": 13,
"name": "Lily Punks",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "64bf06fae1590d2d213438df25afe831b702df72edf02bcb910c41cb0ce5c3dcaf07072000",
"sigmaType": null,
"renderedValue": null
},
"R6": {
"serializedValue": "054a",
"sigmaType": "SLong",
"renderedValue": "37"
},
"R8": {
"serializedValue": "0d0740",
"sigmaType": "Coll[SBoolean]",
"renderedValue": "[false,false,false,false,false,false,true]"
},
"R7": {
"serializedValue": "5980b8d4c3a6628088edbaa862",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1688798400000,1689057600000]"
},
"R9": {
"serializedValue": "1a03000000",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[,,]"
},
"R4": {
"serializedValue": "64fde3c3bbb2a48e9de0e45b6562b7f0e3bc996b25430253eeb9074c874e3889fe07072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "b37c9e8be1245a36e344deecd47d857e18968e4b1755896afad29db0f94492d9",
"value": 1056200000,
"index": 1,
"spendingProof": null,
"outputBlockId": "a81e280abeedc1d22f828af25e78371229ff90f645ae4bbc762589bdd0a42478",
"outputTransactionId": "28313a9422f9ccac23b67d5ffc00aa1ff36250cccaeb2ce2e0815ed9ba4ddfc5",
"outputIndex": 0,
"outputGlobalIndex": 30770912,
"outputCreatedAt": 1042560,
"outputSettledAt": 1042562,
"ergoTree": "100c040004000400040005000500040001010e20e540cceffd3b8dd0f401193576cc413467039695969427df94454193dddfb375050005000580a8c301d802d601db6308b2a4730000d602e4c6a7040895ed91b172017301938cb2720173020001e4c6a7050ed1938ce4c6b2a5730300094405017202d802d603d07202d604db6308a7ea02d1968302019683020192b0ada5d90105639593c272057203c1720573047305d90105599a8c7205018c720502c1a79591b172047306aea5d9010563ed93db63087205720493c272057203730793b0ada5d90105639593cbc272057308c172057309730ad90105599a8c7205018c720502730b7202",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: true\n8: Coll(-27,64,-52,-17,-3,59,-115,-48,-12,1,25,53,118,-52,65,52,103,3,-106,-107,-106,-108,39,-33,-108,69,65,-109,-35,-33,-77,117)\n9: 0\n10: 0\n11: 1600000",
"ergoTreeScript": "{\n val coll1 = INPUTS(placeholder[Int](0)).tokens\n val prop2 = SELF.R4[SigmaProp].get\n if ((coll1.size > placeholder[Int](1)) && (coll1(placeholder[Int](2))._1 == SELF.R5[Coll[Byte]].get)) {\n sigmaProp(OUTPUTS(placeholder[Int](3)).R9[(SigmaProp, Long)].get._1 == prop2)\n } else {(\n val coll3 = prop2.propBytes\n val coll4 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n OUTPUTS.map({(box5: Box) => if (box5.propositionBytes == coll3) { box5.value } else { placeholder[Long](4) } }).fold(\n placeholder[Long](5), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }\n ) >= SELF.value, if (coll4.size > placeholder[Int](6)) {\n OUTPUTS.exists({(box5: Box) => (box5.tokens == coll4) && (box5.propositionBytes == coll3) })\n } else { placeholder[Boolean](7) }\n )\n ), OUTPUTS.map(\n {(box5: Box) => if (blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](8)) { box5.value } else { placeholder[Long](9) } }\n ).fold(placeholder[Long](10), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }) == placeholder[Long](11)\n )\n )\n ) && prop2\n )}\n}",
"address": "RShSy3CERS1Jt4duhhy4YjcYBvcMdN3VnV9aKETP9xs42JDPE4pjU9MCwCqfF58xnNpHNohcjJBTVULcHanBRA8WSrgKEAcSy2r72o7MyDio1VbxbfwPjtYT9MM5R65wRCRsQzGSRRHq3RaztyZ55jczx8f1rZbTzM8oRDjisei2eQwjsooAtsiwaCFNmNXHyDWmkpcYvqw3aTaXq6sPFVXtJSjgpxrK7e7oMHCEuLvtdX7HJJU9xCjdZzecj5TAujGjY4ne6yEgU8ZW4TPrydWCjYFhmScHsoAhFGHtSd4sPEqPdmDp9ro8WySqaSDMeahqTMD3p2iWDgGn92jTj9xXiC",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd02f9bc4106f15405ca0561699cc3d98e9d2f16dda57ec344f51748e52ddc8aab60",
"sigmaType": "SSigmaProp",
"renderedValue": "02f9bc4106f15405ca0561699cc3d98e9d2f16dda57ec344f51748e52ddc8aab60"
},
"R5": {
"serializedValue": "0e20f0a491ad4c030dbf7a0caf682b18c054c6306644a547a86878e4acb910f321c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "f0a491ad4c030dbf7a0caf682b18c054c6306644a547a86878e4acb910f321c6"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "af00c6d41b2da1c70d976d9de55c1dfdeef5a0b6a3cf6a2f47443a2636fd9bef",
"transactionId": "b357f857f2a411fb8632b7bd329c8d14cf794affe9adfcc76d82da1f336b044e",
"blockId": "d28cf5f338dbd4122944e114d194bd27d118ec9a52e945c594f56a3de35db70e",
"value": 2600000,
"index": 0,
"globalIndex": 30771226,
"creationHeight": 1042564,
"settlementHeight": 1042566,
"ergoTree": "100804000580a8c3010400050204000e013004020580a8c301d807d601b2a5730000d602e4c6a7094405d603e4c67201040ed604e4c67201050ed605e4c67201070ed606e4c67201080ed607e4c67201090ed1968302019683040193c1720199c1a7730193c27201d08c72020193b2db630872017302008602c5a773039683020193cbb3b3b3b3b3b3b3b3b37a7eb172030572037a7eb172040572047a7eb172050572057a7eb172060572067a7eb17207057207cbe4dc640ae4c6b2db6501fe730400046402cb7a8c720202e4e3000e93e4c67201060e730593c1b2a57306007307",
"ergoTreeConstants": "0: 0\n1: 1600000\n2: 0\n3: 1\n4: 0\n5: Coll(48)\n6: 1\n7: 1600000",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = SELF.R9[(SigmaProp, Long)].get\n val coll3 = box1.R4[Coll[Byte]].get\n val coll4 = box1.R5[Coll[Byte]].get\n val coll5 = box1.R7[Coll[Byte]].get\n val coll6 = box1.R8[Coll[Byte]].get\n val coll7 = box1.R9[Coll[Byte]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n box1.value == SELF.value - placeholder[Long](1), box1.propositionBytes == tuple2._1.propBytes, box1.tokens(placeholder[Int](2)) == (\n SELF.id, placeholder[Long](3)\n ), allOf(\n Coll[Boolean](\n blake2b256(\n longToByteArray(coll3.size.toLong).append(coll3).append(longToByteArray(coll4.size.toLong)).append(coll4).append(\n longToByteArray(coll5.size.toLong)\n ).append(coll5).append(longToByteArray(coll6.size.toLong)).append(coll6).append(longToByteArray(coll7.size.toLong)).append(coll7)\n ) == blake2b256(\n CONTEXT.dataInputs(placeholder[Int](4)).R4[AvlTree].get.get(blake2b256(longToByteArray(tuple2._2)), getVar[Coll[Byte]](0.toByte).get).get\n ), box1.R6[Coll[Byte]].get == placeholder[Coll[Byte]](5)\n )\n )\n )\n ), OUTPUTS(placeholder[Int](6)).value == placeholder[Long](7)\n )\n )\n )\n}",
"address": "5d7kmvqYj49qiasgGd4989M3PvS4bExHcbtfzTpQqqd4T5hBAugn8s4U4zpcbntjKZVZF8SbFvxZrWZSSgyQiZbuKgL2Sh6CctK2UJKft7sBZNJNceTzNARq2vGxK6UJHZgyc28rofBzSGGp62N8A9YpmDRP9FucvQUqD1uX8oZ17UY29tdYYazSAESEmbqkL5TLLWdLzig9LMMFYL7QysUVBVeM7UDsMxrr7HhbT2XVHo35RYcscVpg2XLWAoezVUgUDGfWz6t4c8zNF2KzK2NptSaXVV4XNmQFweZqUxUkCpXU7ynEmbSJRd2",
"assets": [
{
"tokenId": "93cbb017da9c313d418395f20a7d71c3f4b7c9bca3326f6c862f063a4f1603db",
"index": 0,
"amount": 1,
"name": "Lily Punks",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0c4c0e02240008cd0231ba86bc23bba4a92f9d220ff403d31128920b430f57d0785d170856648d9c6064240008cd0294a6a57113e1f78837d1b8683971ccea6e1d98135eede42f64450cc5db2098c264",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0231ba86bc23bba4a92f9d220ff403d31128920b430f57d0785d170856648d9c60,50],[0008cd0294a6a57113e1f78837d1b8683971ccea6e1d98135eede42f64450cc5db2098c2,50]]"
},
"R6": {
"serializedValue": "3c0c3c0e0e3c0c3c0e580c3c0e58060a6261636b67726f756e6404626c75650570756e6b73056d616c6534056265617264086d75737461636865056d6f757468066d6f6465737407676c61737365730c736d616c6c2073686164657303746f700574696172610000",
"sigmaType": null,
"renderedValue": null
},
"R8": {
"serializedValue": "0c3c0e0e01086578706c696369740100",
"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[[6578706c69636974,00]]"
},
"R7": {
"serializedValue": "0e2093cbb017da9c313d418395f20a7d71c3f4b7c9bca3326f6c862f063a4f1603db",
"sigmaType": "Coll[SByte]",
"renderedValue": "93cbb017da9c313d418395f20a7d71c3f4b7c9bca3326f6c862f063a4f1603db"
},
"R9": {
"serializedValue": "4405cd02f9bc4106f15405ca0561699cc3d98e9d2f16dda57ec344f51748e52ddc8aab604a",
"sigmaType": "(SSigmaProp, SLong)",
"renderedValue": "[02f9bc4106f15405ca0561699cc3d98e9d2f16dda57ec344f51748e52ddc8aab60,37]"
},
"R4": {
"serializedValue": "0404",
"sigmaType": "SInt",
"renderedValue": "2"
}
},
"spentTransactionId": "2d8aa284aa517999b76c9f2b4070c8eee21b37dc0f974e5560b8936a9475030c",
"mainChain": true
},
{
"boxId": "288854164b1ce31a484b85f9cb91336f3879d14bca7c615127a33dea63faabf3",
"transactionId": "b357f857f2a411fb8632b7bd329c8d14cf794affe9adfcc76d82da1f336b044e",
"blockId": "d28cf5f338dbd4122944e114d194bd27d118ec9a52e945c594f56a3de35db70e",
"value": 3600000,
"index": 1,
"globalIndex": 30771227,
"creationHeight": 1042564,
"settlementHeight": 1042566,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 3\n2: 2\n3: Coll(-109,-53,-80,23,-38,-100,49,61,65,-125,-107,-14,10,125,113,-61,-12,-73,-55,-68,-93,50,111,108,-122,47,6,58,79,22,3,-37)\n4: Coll(-16,-92,-111,-83,76,3,13,-65,122,12,-81,104,43,24,-64,84,-58,48,102,68,-91,71,-88,104,120,-28,-84,-71,16,-13,33,-58)\n5: 0\n6: 1\n7: SigmaProp(ProveDlog(ECPoint(6b3415,1b9c7b,...)))\n8: 2\n9: 1\n10: true\n11: 4\n12: 0\n13: 0\n14: 2\n15: 4\n16: 6\n17: 1\n18: -1\n19: 1\n20: 1\n21: 0\n22: Coll(127,0,15,-70,-11,95,-85,126)\n23: 1\n24: 0\n25: 1\n26: 1\n27: 0\n28: 1\n29: 1\n30: 0\n31: 0\n32: 1\n33: 1\n34: 2\n35: 3\n36: Coll(16,12,4,0,4,0,4,0,4,0,5,0,5,0,4,0,1,1,14,32,-27,64,-52,-17,-3,59,-115,-48,-12,1,25,53,118,-52,65,52,103,3,-106,-107,-106,-108,39,-33,-108,69,65,-109,-35,-33,-77,117,5,0,5,0,5,-128,-88,-61,1,-40,2,-42,1,-37,99,8,-78,-92,115,0,0,-42,2,-28,-58,-89,4,8,-107,-19,-111,-79,114,1,115,1,-109,-116,-78,114,1,115,2,0,1,-28,-58,-89)\n37: 2600000\n38: Coll(16,8,4,0,5,-128,-88,-61,1,4,0,5,2,4,0,14,1,48,4,2,5,-128,-88,-61,1,-40,7,-42,1,-78,-91,115,0,0,-42,2,-28,-58,-89,9,68,5,-42,3,-28,-58,114,1,4,14,-42,4,-28,-58,114,1,5,14,-42,5,-28,-58,114,1,7,14,-42,6,-28,-58,114,1,8,14,-42,7,-28,-58,114,1,9,14,-47,-106,-125,2,1,-106,-125,4,1,-109,-63,114,1,-103,-63,-89,115,1)\n39: 0\n40: 1\n41: 2\n42: 0\n43: Coll(21,-62,122,-69,-72,120,-47,-60,88,51,57,-59,-15,-68,102,118,-122,72,19,-91,-83,-51,-56,-71,-109,-102,121,-92,-58,50,71,2)\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1\n49: 1\n50: 56200000\n51: 1000000\n52: 0\n53: 1\n54: 56200000\n55: 2\n56: 1\n57: 5\n58: 4\n59: 1600000\n60: 2\n61: 1\n62: 6\n63: 5\n64: 1000000\n65: -1\n66: 56200000\n67: 1000000\n68: 0\n69: -1\n70: 56200000\n71: 2\n72: 1\n73: 5\n74: 4\n75: 1600000\n76: 2\n77: 1\n78: 6\n79: 5\n80: 1000000\n81: 1055200000\n82: 1000000000\n83: 1055200000\n84: 2\n85: 1\n86: 5\n87: 4\n88: 1600000\n89: 2\n90: 1\n91: 6\n92: 5\n93: 1000000\n94: false\n95: 1\n96: 56200000\n97: 1000000\n98: 0\n99: 1\n100: 56200000\n101: 2\n102: 1\n103: 5\n104: 4\n105: 1600000\n106: 2\n107: 1\n108: 6\n109: 5\n110: 1000000\n111: 1\n112: -1\n113: 56200000\n114: 0\n115: 1\n116: 1\n117: -1\n118: 56200000\n119: 2\n120: 1\n121: 5\n122: 4\n123: 1600000\n124: 2\n125: 1\n126: 6\n127: 5\n128: 1000000\n129: 1055200000\n130: 1000000000\n131: 0\n132: 1\n133: 1055200000\n134: 2\n135: 1\n136: 5\n137: 4\n138: 1600000\n139: 2\n140: 1\n141: 6\n142: 5\n143: 1000000\n144: false\n145: false\n146: false\n147: 50000000\n148: 0\n149: 1600000\n150: 1000000\n151: 0\n152: 0\n153: 1\n154: 0\n155: 0\n156: 0\n157: 1\n158: 1600000\n159: 2\n160: 1000000\n161: false",
"ergoTreeScript": "{\n val tuple1 = SELF.R7[(Long, Long)].get\n val l2 = CONTEXT.headers(placeholder[Int](0)).timestamp\n val bool3 = tuple1._1 <= l2\n val coll4 = SELF.R8[Coll[Boolean]].get\n val bool5 = coll4(placeholder[Int](1))\n val bool6 = coll4(placeholder[Int](2))\n val l7 = tuple1._2\n val coll8 = placeholder[Coll[Byte]](3)\n val coll9 = placeholder[Coll[Byte]](4)\n val coll10 = SELF.R9[Coll[Coll[Byte]]].get\n val coll11 = coll10(placeholder[Int](5))\n val bool12 = coll4(placeholder[Int](6))\n val prop13 = placeholder[SigmaProp](7)\n val func14 = {(bool14: Boolean) =>\n if (bool14 || (INPUTS(placeholder[Int](8)).R5[Long].get == placeholder[Long](9))) { placeholder[Boolean](10) } else {\n OUTPUTS(placeholder[Int](11)).tokens(placeholder[Int](12))._1 == SELF.tokens(placeholder[Int](13))._1\n }\n }\n val coll15 = coll10(placeholder[Int](14))\n val bool16 = coll4(placeholder[Int](15))\n val bool17 = coll4(placeholder[Int](16))\n val coll18 = coll10(placeholder[Int](17))\n if ((bool3 || bool5) || bool6) { if ((l7 > l2) || (l7 == placeholder[Long](18))) {(\n val box19 = getVar[Box](1.toByte).get\n val l20 = SELF.R6[Long].get\n val l21 = l20 + placeholder[Long](19)\n val l22 = box19.R9[Long].get\n val box23 = INPUTS(placeholder[Int](20))\n val box24 = OUTPUTS(placeholder[Int](21))\n val tuple25 = box24.R6[(Coll[(Coll[Byte], Coll[Byte])], (Coll[(Coll[Byte], (Int, Int))], Coll[(Coll[Byte], (Int, Int))]))].get\n val tuple26 = tuple25._2\n val coll27 = placeholder[Coll[Byte]](22)\n val avlTree28 = SELF.R5[AvlTree].get\n val bool29 = l21 == l22\n val box30 = OUTPUTS(placeholder[Int](23))\n val bool31 = if (!bool29) {(\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](24))\n val coll33 = SELF.tokens\n val tuple34 = coll31(placeholder[Int](25))\n val tuple35 = coll33(placeholder[Int](26))\n allOf(Coll[Boolean](tuple32 == (coll33(placeholder[Int](27))._1, placeholder[Long](28)), tuple32._1 == coll9, tuple34 == (tuple35._1, tuple35._2 - placeholder[Long](29)), tuple34._1 == coll8))\n )} else {(\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](30))\n allOf(Coll[Boolean](tuple32 == (SELF.tokens(placeholder[Int](31))._1, placeholder[Long](32)), tuple32._1 == coll9, coll31.size == placeholder[Int](33)))\n )}\n val box32 = OUTPUTS(placeholder[Int](34))\n val box33 = OUTPUTS(placeholder[Int](35))\n sigmaProp(allOf(Coll[Boolean](box19.id == coll8, l21 <= l22, box23.propositionBytes == placeholder[Coll[Byte]](36), allOf(Coll[Boolean](box24.value == placeholder[Long](37), box24.propositionBytes == placeholder[Coll[Byte]](38), box24.tokens(placeholder[Int](39)) == (coll8, placeholder[Long](40)), box24.R4[Int].get == placeholder[Int](41), blake2b256(box24.R5[Coll[(Coll[Byte], Int)]].get.fold(longToByteArray(placeholder[Long](42)), {(tuple34: (Coll[Byte], (Coll[Byte], Int))) =>\n val tuple36 = tuple34._2\n tuple34._1.append(tuple36._1).append(longToByteArray(tuple36._2.toLong))\n })) == placeholder[Coll[Byte]](43), blake2b256(tuple26._2.fold(tuple26._1.fold(tuple25._1.fold(if (box24.R8[Coll[(Coll[Byte], Coll[Byte])]].get(placeholder[Int](44))._2(placeholder[Int](45)).toInt == placeholder[Int](46)) { longToByteArray(placeholder[Long](47)) } else { longToByteArray(placeholder[Long](48)) }, {(tuple34: (Coll[Byte], (Coll[Byte], Coll[Byte]))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val coll38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(coll38.size.toLong)).append(coll38)\n }).append(coll27), {(tuple34: (Coll[Byte], (Coll[Byte], (Int, Int)))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val tuple38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(tuple38._1.toLong)).append(longToByteArray(tuple38._2.toLong))\n }).append(coll27), {(tuple34: (Coll[Byte], (Coll[Byte], (Int, Int)))) =>\n val tuple36 = tuple34._2\n val coll37 = tuple36._1\n val tuple38 = tuple36._2\n tuple34._1.append(longToByteArray(coll37.size.toLong)).append(coll37).append(longToByteArray(tuple38._1.toLong)).append(longToByteArray(tuple38._2.toLong))\n })) == blake2b256(avlTree28.get(blake2b256(longToByteArray(l20)), getVar[Coll[Byte]](0.toByte).get).get), box24.R7[Coll[Byte]].get == coll8, box24.R9[(SigmaProp, Long)].get == (box23.R4[SigmaProp].get, l20))), if (bool29) { allOf(Coll[Boolean](box30.value == SELF.value, box30.propositionBytes == SELF.propositionBytes, bool31, box30.R4[AvlTree].get.digest == SELF.R4[AvlTree].get.digest, box30.R5[AvlTree].get.digest == avlTree28.digest, box30.R6[Long].get == l21)) } else { allOf(Coll[Boolean](box30.value == SELF.value, box30.propositionBytes == SELF.propositionBytes, bool31, box30.R4[AvlTree].get.digest == SELF.R4[AvlTree].get.digest, box30.R5[AvlTree].get.digest == avlTree28.digest, box30.R6[Long].get == l21, box30.R7[(Long, Long)].get == tuple1, box30.R8[Coll[Boolean]].get == coll4, box30.R9[Coll[Coll[Byte]]].get == coll10)) }, if (bool3) { if (bool12 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll11, placeholder[Long](49)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](50)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](51), box32.tokens(placeholder[Int](52)) == (coll11, placeholder[Long](53)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](54)), if (bool35 && (INPUTS(placeholder[Int](55)).R5[Long].get > placeholder[Long](56))) { OUTPUTS(placeholder[Int](57)) } else { OUTPUTS(placeholder[Int](58)) }.value == placeholder[Long](59), if (bool35 && (INPUTS(placeholder[Int](60)).R5[Long].get > placeholder[Long](61))) { OUTPUTS(placeholder[Int](62)) } else { OUTPUTS(placeholder[Int](63)) }.value >= placeholder[Long](64)))\n )} else { if (bool16 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => (tuple34._1 == coll15) && (tuple34._2 >= placeholder[Long](65)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](66)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](67), box32.propositionBytes == prop13.propBytes, box32.tokens(placeholder[Int](68)) == (coll15, placeholder[Long](69)))), func14(l34 >= placeholder[Long](70)), if (bool35 && (INPUTS(placeholder[Int](71)).R5[Long].get > placeholder[Long](72))) { OUTPUTS(placeholder[Int](73)) } else { OUTPUTS(placeholder[Int](74)) }.value == placeholder[Long](75), if (bool35 && (INPUTS(placeholder[Int](76)).R5[Long].get > placeholder[Long](77))) { OUTPUTS(placeholder[Int](78)) } else { OUTPUTS(placeholder[Int](79)) }.value >= placeholder[Long](80)))\n )} else { if (bool17) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](81)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](82), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](83)), if (bool35 && (INPUTS(placeholder[Int](84)).R5[Long].get > placeholder[Long](85))) { OUTPUTS(placeholder[Int](86)) } else { OUTPUTS(placeholder[Int](87)) }.value == placeholder[Long](88), if (bool35 && (INPUTS(placeholder[Int](89)).R5[Long].get > placeholder[Long](90))) { OUTPUTS(placeholder[Int](91)) } else { OUTPUTS(placeholder[Int](92)) }.value >= placeholder[Long](93)))\n )} else { placeholder[Boolean](94) } } } } else { if (bool5 || (bool6 && bool12)) { if (bool6 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll11, placeholder[Long](95)) })) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](96)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](97), box32.tokens(placeholder[Int](98)) == (coll11, placeholder[Long](99)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](100)), if (bool35 && (INPUTS(placeholder[Int](101)).R5[Long].get > placeholder[Long](102))) { OUTPUTS(placeholder[Int](103)) } else { OUTPUTS(placeholder[Int](104)) }.value == placeholder[Long](105), if (bool35 && (INPUTS(placeholder[Int](106)).R5[Long].get > placeholder[Long](107))) { OUTPUTS(placeholder[Int](108)) } else { OUTPUTS(placeholder[Int](109)) }.value >= placeholder[Long](110)))\n )} else { if (bool5 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => tuple34 == (coll18, placeholder[Long](111)) })) { if (bool16 && box23.tokens.exists({(tuple34: (Coll[Byte], Long)) => (tuple34._1 == coll15) && (tuple34._2 >= placeholder[Long](112)) })) {(\n val coll34 = box32.tokens\n val l35 = box23.value\n val bool36 = l35 < placeholder[Long](113)\n allOf(Coll[Boolean](allOf(Coll[Boolean](coll34(placeholder[Int](114)) == (coll18, placeholder[Long](115)), coll34(placeholder[Int](116)) == (coll15, placeholder[Long](117)), box32.propositionBytes == prop13.propBytes)), func14(l35 >= placeholder[Long](118)), if (bool36 && (INPUTS(placeholder[Int](119)).R5[Long].get > placeholder[Long](120))) { OUTPUTS(placeholder[Int](121)) } else { OUTPUTS(placeholder[Int](122)) }.value == placeholder[Long](123), if (bool36 && (INPUTS(placeholder[Int](124)).R5[Long].get > placeholder[Long](125))) { OUTPUTS(placeholder[Int](126)) } else { OUTPUTS(placeholder[Int](127)) }.value >= placeholder[Long](128)))\n )} else { if (bool17) {(\n val l34 = box23.value\n val bool35 = l34 < placeholder[Long](129)\n allOf(Coll[Boolean](allOf(Coll[Boolean](box32.value == placeholder[Long](130), box32.tokens(placeholder[Int](131)) == (coll18, placeholder[Long](132)), box32.propositionBytes == prop13.propBytes)), func14(l34 >= placeholder[Long](133)), if (bool35 && (INPUTS(placeholder[Int](134)).R5[Long].get > placeholder[Long](135))) { OUTPUTS(placeholder[Int](136)) } else { OUTPUTS(placeholder[Int](137)) }.value == placeholder[Long](138), if (bool35 && (INPUTS(placeholder[Int](139)).R5[Long].get > placeholder[Long](140))) { OUTPUTS(placeholder[Int](141)) } else { OUTPUTS(placeholder[Int](142)) }.value >= placeholder[Long](143)))\n )} else { placeholder[Boolean](144) } } } else { placeholder[Boolean](145) } } } else { placeholder[Boolean](146) } }, allOf(Coll[Boolean](box33.value == placeholder[Long](147), box33.propositionBytes == prop13.propBytes)))))\n )} else {(\n val box19 = OUTPUTS(placeholder[Int](148))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box19.value == SELF.value - placeholder[Long](149) - placeholder[Long](150), box19.propositionBytes == prop13.propBytes, if (coll4(placeholder[Int](151))) {(\n val tuple20 = box19.tokens(placeholder[Int](152))\n val tuple21 = SELF.tokens(placeholder[Int](153))\n allOf(Coll[Boolean](tuple20 == tuple21, tuple20._1 == coll8, OUTPUTS.map({(box22: Box) => box22.tokens.map({(tuple24: (Coll[Byte], Long)) => tuple24._2 }).fold(placeholder[Long](154), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }) }).fold(placeholder[Long](155), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }) == tuple21._2))\n )} else { OUTPUTS.forall({(box20: Box) => box20.tokens.size == placeholder[Int](156) }) })), OUTPUTS(placeholder[Int](157)).value == placeholder[Long](158), OUTPUTS(placeholder[Int](159)).value >= placeholder[Long](160))))\n )} } else { sigmaProp(placeholder[Boolean](161)) }\n}",
"address": "C5DutgiGJascnMR2p82pexPark7fJAcV4NkjKDDvRYLhrGA3BzPyqMb6tKMsc1d3cjfd2D7rnC3g4YivhjWBYfXmQ4VVQbA7ibvLHKUmrRPGxG7ZfqY3Gx3LGoFLGCbafJg1UMEchFQW5bDyR8CMWjDhKYW8hN4vfPdn1Cpxe1ZYZ1cHHaSAx7vHXGrVtuRQugy7m2HSrmNkbaa6yGFaBC71cFXRyLj274kpZUfi4M5qRQdmN1aaUFFpTxkoSecYQuAAqYKAewHnrXTA4Kya5HywMXUxCqvMfXyvRk4nQXMrviTL2YLr8USiZsLiKTYyutHQarh6ZRpyvuLBvSxekg9eqkDHxb65jD2S1i7Jtp2G1J9kB38AtGxdazWnqf4trb1iJMywqqiUGivwwbCihgrFQetpYUpWknTvcGsNfXZZPHZvKgkvqsn8xi1R2UUmwfoawSqxhrkcwggDkcXdvMKvoGqnVtuwAWMn7KTef8c7yroaYtrvy54WYZzSseqMV7eijqr28xbiT7ioFP7M5Dgu25QJL6apUut1S5WZWod4bQLu7QSpsTpirJwE3jJxW1mSZX5cUatyk2oqo1L4mn4pT56xUcWUoXXhvBkgx6h9GFgQd5RRiCVR6ZpaBdZmcNZnXPm9wWVKaGaoS1jTuj3LcqSbb3UfwbhDBnYb6hkBPj4Qc2bijTKXKE6fyMjSU7dSGdapWqVskyc3JSup4sz1HVsZtZXjR388Q6pC3G4LgterzUw7vJHNuyGEdt5DbV7ek7gcsCryYH4LNHXPvj5rEjmFHGp8PbKryU1TAkmzvNtsiKKMXhC3H3zjmhe68NonRFKBFNNmAbH2mFQSr3jcVSHnwBJU8QNAA2SYG8yzhFAanUHvuUYAN2QKNBfZBckhzd6V4oEophN2ibNtJAJCPC2RWc2wEdEScTbHnjwTcdrV3ZaZEBsEf8RCQdXrfjXUDFwXKAXE35A9MGMExn6VGfMw2DkDwdff4TAGpMcKqfuJhHH1yQofcFcxbLfAtbJeSTftHdQWJLWN1LnwB1VkbWhxzZys4dtuHy4EzgKCSYpFSYGYUBAgnVvwrEBPATQQqTwYY5V6XPDwhi7tdVfPg6RkYqdUPg2kPDDZeCHkZpU8DqYKoH1rtCg6jG7dZ6VRaBhJyxiQLWxaKeETTx8yFdStNr1MyWBMPCoiA1fgknWynXcxYgR9PTzHtNktjVc7yyqkPUqqeyGneHhM38D9qQSF7W4mwZeCnc7JoLCxD4bX7mHNB3cwUmQjUrNxayWsYNd2Aqf4t6zEqAvW3TxbouvRGqrJgYMhikrfkJAj9typsTV3qvtBdpDEzLaBLCeFsLBVAgZPnc1CvoK3ZqntpJNNxQsKjxFLCcWwWbHQH7kiEXUhte8ptSbaLvQWCmyyV2wC9AgZ8212SXWGT95w9CG1ZiZyqrE7A7ZwLPMr1V5r1Rwpaqz4qWq9oT1tR2px1ARB9D1PUz2LnLyVKkhhmGmMFFHkyqrHQoKPwhrhrXZDqL6bNUGhi21Q5ZJKuvydXQ2qBoWxQv9ue67z6qzTt1WVqPgUwWdmU3vH6s7CR4h1GzToqCAYCbYof2io5Xi6t3cfcdmWY2oNBzPfBiUjDSWi6Q5GB6a3iZxvTBqLYQoNFxCMeGyqkSfrraNQkpzqPGvYzPzkzaQMmF89bxY2hVNk5rNEgdoFSigFzAe6owoU3fcUY1e16nVTZB2LBBoXZBrSrV7c9csT2vXpu6AizgyoAHHDe7Yubtr9W5zTPwYo1K7LwhBb3FesbprURiqdQiaf5s6pNEn4ijAFkL2tkb9riCZnqMVMxNDbXe8Cu1CGTwuZwP1diYNgA3taiFbwqNHWiupaPprNUEh9zCgBdxdNVTUEbrZE7cZUzpmD2dXD4wkR1Q8NgNfFpFhLd5BPT6JuUsDa1gCrirjyeXZpr8pnEdpWkJyCvSi7BZjFFdxHpjjjLVtHRjtnLDyyoM5WTfFBCWAWBtMZExeMynyhMGAVMgdmvw9yZhXh5LLkWMh7uTZhwdYrAH6UUHivzQeEZNujLnVhr53JHJkubpSBdKBDRrsCyCmpQgucEqE5mdJCCepBiZydJyq2mBhcw3bd2rt6LupJuX9n3rtQ7PcT5FQF8CXhC3i1i5RtD89TCMAEYVBqg8aoyp93CnboyPwcBViiL4xfdokegN21jcTtTnAMkzqqkb3JS1MdDXZPwpMn41SiYc3aZqJVQpYC1g34gwN8FiEPyrXgJKTQQvJKdJpN1ywcgK3fNarPVj7n5WkvtQ4DCwHDzX1jQdJTXTZ4K3oLcxug831otdx2wwoREpdTNfJK4nybSEwit7sANjg8YrngsWu2SYMStGr9dV2TMLzSD9xsPoydGNKYgEG71iFqJbthZjVzJfEaJcEwD3baQQok8jDbszMEugkit5yj5ZuKZ18BY5mZQsv6orVG9keedQYh6g73rn3Jusw2cXfA6MW5GWmh82G58xN9eMMC12rDnQSZADnBM6gKHQNGAavpA8h4ruk4m2wGPzLmZ6ehmy7e1dnhdSaY97h7RMBYMFoTg94W5ePEUXEfhqeAvKuTufDZYRf5aiFKMmCB37LkXCDp63KBsv35sHCPE5BtjgbgPedjRii7YsA9A5BKhT3HigDHt57y89GrFRMvNCC2cEBYwChCc9KaMKn1qSUXHkaaEQN11caa8v1ioGimEgskiboCyFsFq9kFAihdE9axd3fMDPdnrWu4XXKw4oeQutw6Wd66enJYW5kBHnes1h1F5cgY1d5ihsy6zjndB8oQUc3HFaaNs4gJowBEfaNpvNcf9zqXGigvDsMn4rQJNC4zWYdc83FWpBDqQECTQTV4Nipg7EW2JsfNVjjQEEjPtbU3FkxQd8xWuhZzj3m83CKhLdBftKETr6YuGdGF9uPqF1wvWJ6ESwk4hXSvh4FuPwdRUNH2T5jJw2QA8ukZhHwvr3UKbJGboKk2AP47QfvmRC7QYngmpbUxKQ7ZWsyjf9CQ5HVb4ZbHCcVcPmWEcbkTj3pZ1PoXCVwVJrV4XjgaWSyhzPnzJ2JDRJn4yynTt8AgwDLX6GMmaQcEvo3xa1BcyhmeTfXNmE6FvMprGTspMVTANQD7kePUR5r94nVY8N8mx5XiN7boSiWyVTpkfkqXTAFQJkRJKEdGhFCKmx4QF4FF3wNDLNeXf9aZcCTPbD8EYxo2bv5eNuUouYNTGvknMGQ9wzedi35ixduuTFSEtw1c7yaoA27BU2e477vLMLHZiBctmApP6vE52YfMiyAnVZrHLQ4XoLQCVYq3bRKNzJr4jnZMhN1SQbFfdmzJcDnjLir1Fec5nLQdiB6dZJ1H5ELDt1qCWCNmwVtPgGEqC6hCm8kkmsd95mREERUAM3azet7Qvbb1egBWKAS5yuZeVzTT9LhvSrm3adv9tQLSXTtjnoMc8wcQV8AHT7VPhunmexfk1hdjyyept4EYHqFqyfnfJU5uJoSeebWwbLBQS69JW9ur1p8KhdtnHp3X3PDWQs56wBJeYhgCfJJmUjFKh4Tby67PgYk7U99F3ZyzVUYzFiKZbhEfoFp7S4Q6dgS7Jbsbkm8qiC84tjVDGRSwWge3jepNWC48YT2x2FH86oscQCdSh9PF2uFY6ecrSxdwRjteJDXAHRYQ7U8j3EFxJ8muAkGjFnEhbLbSgbHAnumyX6JjS4vUXsieBE6TLDgmCVi3TspU9nk3cXBJmULay9qc9tiHz55m2SaGf5qJNDEyzQHpL6WxyYgSCrPvjH8R1NcbHUsjML4PRS4yz88tenwgrQXymVrgYPnXSbFDJP9kMVxVujafHFfffPUrFDB7Jx27j5MKzrjmaCsFmG77Qt9f38vimAPD5FE9hJjmvjSAhxBvCRT7BThEQqeAtAsT5hTBxmD3QJZH2TjgFa3vjtNSKBiAYdqZXLmeVRGZXmBrN5KAa4WvtWXycYFwcsR6sxMFS4WUirbsqvtfTpuNSixpB8rDt5sTnMCuVmrUyQFX3AA6zGAp2JNHVhaVAtXUzGtJqEHaMQ9jgVvSJVCR7F3JbqMc9M8VCMYTiLySSP5s5AritDuNqzuWX1xJwqLsmgydNkjB1STnKX3LgR92xjpjVHwWUco38fcjZnUKWFjALz7W6kszoFHzC3nNDpci9c6ErfUSxc11zXkWTKvVpJS2HjmVBSN3XmbMaDWAdt6RLV7PP8fsqcGPSSmdYMtYhLNM8QyLsL2USxAus3dCDiKNK1dNDaMuvrF",
"assets": [
{
"tokenId": "f0a491ad4c030dbf7a0caf682b18c054c6306644a547a86878e4acb910f321c6",
"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "93cbb017da9c313d418395f20a7d71c3f4b7c9bca3326f6c862f063a4f1603db",
"index": 1,
"amount": 12,
"name": "Lily Punks",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": null,
"renderedValue": null
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"R6": {
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"sigmaType": "SLong",
"renderedValue": "38"
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"R8": {
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"sigmaType": "Coll[SBoolean]",
"renderedValue": "[false,false,false,false,false,false,true]"
},
"R7": {
"serializedValue": "5980b8d4c3a6628088edbaa862",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1688798400000,1689057600000]"
},
"R9": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[,,]"
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"R4": {
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"sigmaType": null,
"renderedValue": null
}
},
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"mainChain": true
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{
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"transactionId": "b357f857f2a411fb8632b7bd329c8d14cf794affe9adfcc76d82da1f336b044e",
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"value": 1000000000,
"index": 2,
"globalIndex": 30771228,
"creationHeight": 1042564,
"settlementHeight": 1042566,
"ergoTree": "0008cd0306b34156d30cadf134c7c0b245a5ff2debcbe42ff5c86859c74d4013ee9b4829",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b3415,1b9c7b,...)))}",
"address": "9gWkqeBUdJxgPv9TYUM6mLY1RYkXHmJuHRhHnnM2UZ9qFqySotz",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "83e00d10d3c9293f134c80ae78327ef8eb10e09a05593cd23f0f1c267fc67781",
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{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b3415,1b9c7b,...)))}",
"address": "9gWkqeBUdJxgPv9TYUM6mLY1RYkXHmJuHRhHnnM2UZ9qFqySotz",
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{
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"transactionId": "b357f857f2a411fb8632b7bd329c8d14cf794affe9adfcc76d82da1f336b044e",
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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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c222ff797f09dda1733adc530f65c41f4326169e0fd7e0f06b002d32c51b18b3",
"mainChain": true
},
{
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"transactionId": "b357f857f2a411fb8632b7bd329c8d14cf794affe9adfcc76d82da1f336b044e",
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"value": 2000000,
"index": 5,
"globalIndex": 30771231,
"creationHeight": 1042564,
"settlementHeight": 1042566,
"ergoTree": "0008cd0301465e5d092dd2f201667b1b88151facb2498364c333a2ba6109747304b4b98b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1465e5,12b208,...)))}",
"address": "9gUNFq1gAu2sb6KdF7jeQ1WKmTBx9J7WXA9ULsxve1BXmwmPmhL",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "72ff52c96304784ccd1cc1c8012fb5fa4a06770f2f805c1c44ca673ead7be546",
"mainChain": true
}
],
"size": 5024,
"isUnconfirmed": false
}