Transaction
ID: 2d97d9a195...dd85
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0036 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
36.76 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:
35 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.75 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0016 ERG
Unspent
Transaction Details
Confirmations: 689,915
Total coins transferred: 36.76 ERG
Fees: 0.0016 ERG
Fees per byte: 0.000000297 ERG
Raw Transaction Data
{
"id": "2d97d9a195cf194a6afc8af3383232913ca13a30e03a67f3a557fd8d9d9bdd85",
"blockId": "3ee8e1ad873327f1edcb1452ce499678e386c9c0c448fb0f1ed630c2f79187e1",
"inclusionHeight": 1081044,
"timestamp": 1693496014643,
"index": 3,
"globalIndex": 5754118,
"numConfirmations": 689915,
"inputs": [
{
"boxId": "023b03822f77e226fce6813ec02823e15184412dbc9a12d6bef6d1b37819aae4",
"value": 3600000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f789a2edc630eac76e8467ac4e75cc478a6afe79f3d67e0bb76f00c8a73ca1ca",
"outputTransactionId": "2065414c9bfa00920a26c351534755b391875bfa308b23d1c5d91a8892c60778",
"outputIndex": 0,
"outputGlobalIndex": 32225268,
"outputCreatedAt": 1080975,
"outputSettledAt": 1080978,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 3\n2: 2\n3: Coll(109,68,-26,61,127,79,89,7,-3,-55,110,-86,17,-61,116,26,-15,-9,-109,-6,30,69,92,-83,3,41,50,73,-52,-107,-57,-71)\n4: Coll(91,-3,90,102,16,-103,-114,118,-74,-73,22,-13,-102,-87,98,-19,-51,-53,-50,7,-73,51,-12,114,105,42,64,35,20,49,90,-13)\n5: 0\n6: 1\n7: SigmaProp(ProveDlog(ECPoint(2da5af,db1f12,...)))\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(-33,42,127,6,80,121,-67,-7,12,-83,-35,-42,-46,86,25,38,82,-59,-48,-78,-55,-94,-108,8,7,105,-43,52,16,-112,27,-2)\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1\n49: 1\n50: 1756200000\n51: 1000000\n52: 0\n53: 1\n54: 1756200000\n55: 2\n56: 1\n57: 5\n58: 4\n59: 1600000\n60: 2\n61: 1\n62: 6\n63: 5\n64: 1000000\n65: -1\n66: 1756200000\n67: 1000000\n68: 0\n69: -1\n70: 1756200000\n71: 2\n72: 1\n73: 5\n74: 4\n75: 1600000\n76: 2\n77: 1\n78: 6\n79: 5\n80: 1000000\n81: 36755200000\n82: 35000000000\n83: 36755200000\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: 1756200000\n97: 1000000\n98: 0\n99: 1\n100: 1756200000\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: 1756200000\n114: 0\n115: 1\n116: 1\n117: -1\n118: 1756200000\n119: 2\n120: 1\n121: 5\n122: 4\n123: 1600000\n124: 2\n125: 1\n126: 6\n127: 5\n128: 1000000\n129: 36755200000\n130: 35000000000\n131: 0\n132: 1\n133: 36755200000\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: 1750000000\n148: SigmaProp(ProveDlog(ECPoint(6b3415,1b9c7b,...)))\n149: 0\n150: 1600000\n151: 1000000\n152: 0\n153: 0\n154: 1\n155: 0\n156: 0\n157: 0\n158: 1\n159: 1600000\n160: 2\n161: 1000000\n162: 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 == placeholder[SigmaProp](148).propBytes)))))\n )} else {(\n val box19 = OUTPUTS(placeholder[Int](149))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box19.value == SELF.value - placeholder[Long](150) - placeholder[Long](151), box19.propositionBytes == prop13.propBytes, if (coll4(placeholder[Int](152))) {(\n val tuple20 = box19.tokens(placeholder[Int](153))\n val tuple21 = SELF.tokens(placeholder[Int](154))\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](155), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }) }).fold(placeholder[Long](156), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }) == tuple21._2))\n )} else { OUTPUTS.forall({(box20: Box) => box20.tokens.size == placeholder[Int](157) }) })), OUTPUTS(placeholder[Int](158)).value == placeholder[Long](159), OUTPUTS(placeholder[Int](160)).value >= placeholder[Long](161))))\n )} } else { sigmaProp(placeholder[Boolean](162)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "5bfd5a6610998e76b6b716f39aa962edcdcbce07b733f472692a402314315af3",
"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6d44e63d7f4f5907fdc96eaa11c3741af1f793fa1e455cad03293249cc95c7b9",
"index": 1,
"amount": 2000,
"name": "Ergo Miners",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "64eca9d5f4bfaccbf72dc60b441f6d74f728b6125327da8124a27991479dec84c50d072000",
"sigmaType": null,
"renderedValue": null
},
"R6": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R8": {
"serializedValue": "0d0740",
"sigmaType": "Coll[SBoolean]",
"renderedValue": "[false,false,false,false,false,false,true]"
},
"R7": {
"serializedValue": "5980aca6bec96280cce28bb564",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1693490400000,1725112800000]"
},
"R9": {
"serializedValue": "1a03000000",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[,,]"
},
"R4": {
"serializedValue": "64eb58acb0883390356716aeafebdaaa41a2e31faceaf373d0f4c7a3678fa4d0c60d072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "878a4f2de7a4e0ad7c9922d4678bda33d94dea91801b154313a88b1e27a8a8b8",
"value": 36756200000,
"index": 1,
"spendingProof": null,
"outputBlockId": "c062bcd0435ad37bad878a7709c42c6d4286e59c931e9ba7e0999f37f6111542",
"outputTransactionId": "1a942942b222594431fccc04f1dad130d9ca5ad0324778b6bcf885445da626ee",
"outputIndex": 0,
"outputGlobalIndex": 32227940,
"outputCreatedAt": 1081040,
"outputSettledAt": 1081042,
"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": "08cd02811c749e929efc9f33e4571bcbf2ff66268e9cb9a168c9346454b07ea34fc7d1",
"sigmaType": "SSigmaProp",
"renderedValue": "02811c749e929efc9f33e4571bcbf2ff66268e9cb9a168c9346454b07ea34fc7d1"
},
"R5": {
"serializedValue": "0e205bfd5a6610998e76b6b716f39aa962edcdcbce07b733f472692a402314315af3",
"sigmaType": "Coll[SByte]",
"renderedValue": "5bfd5a6610998e76b6b716f39aa962edcdcbce07b733f472692a402314315af3"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "0f69ae7851c4d220dd3bb04b7fd0f975ee1d22f638e7d6af77693c6bd86c0b44",
"transactionId": "2d97d9a195cf194a6afc8af3383232913ca13a30e03a67f3a557fd8d9d9bdd85",
"blockId": "3ee8e1ad873327f1edcb1452ce499678e386c9c0c448fb0f1ed630c2f79187e1",
"value": 2600000,
"index": 0,
"globalIndex": 32228192,
"creationHeight": 1081042,
"settlementHeight": 1081044,
"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": "6d44e63d7f4f5907fdc96eaa11c3741af1f793fa1e455cad03293249cc95c7b9",
"index": 0,
"amount": 1,
"name": "Ergo Miners",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0c4c0e01240008cd032da5afa4b9159c4bb8357a0b0b4aaf01e84a6b1a1b9f0d724d432d405e45453614",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd032da5afa4b9159c4bb8357a0b0b4aaf01e84a6b1a1b9f0d724d432d405e454536,10]]"
},
"R6": {
"serializedValue": "3c0c3c0e0e3c0c3c0e580c3c0e58080a4261636b67726f756e640a4c6967687420426c756509536b696e20546f6e65055768697465064f75746669740e4e61767920436f766572616c6c73054d6f7574680d537472616967687420466163650445796573044f70656e04486169720f42757a7a2043757420426c6f6e6465084865616477656172144461726b2059656c6c6f7720486172642048617404546f6f6c03544e540000",
"sigmaType": null,
"renderedValue": null
},
"R8": {
"serializedValue": "0c3c0e0e01086578706c696369740100",
"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[[6578706c69636974,00]]"
},
"R7": {
"serializedValue": "0e206d44e63d7f4f5907fdc96eaa11c3741af1f793fa1e455cad03293249cc95c7b9",
"sigmaType": "Coll[SByte]",
"renderedValue": "6d44e63d7f4f5907fdc96eaa11c3741af1f793fa1e455cad03293249cc95c7b9"
},
"R9": {
"serializedValue": "4405cd02811c749e929efc9f33e4571bcbf2ff66268e9cb9a168c9346454b07ea34fc7d100",
"sigmaType": "(SSigmaProp, SLong)",
"renderedValue": "[02811c749e929efc9f33e4571bcbf2ff66268e9cb9a168c9346454b07ea34fc7d1,0]"
},
"R4": {
"serializedValue": "0404",
"sigmaType": "SInt",
"renderedValue": "2"
}
},
"spentTransactionId": "7f821a90fa5e7e149aa785cf466dc5a4bf7342d5b4cd91cf751eb4d405715300",
"mainChain": true
},
{
"boxId": "3601a10b0c5bdef40dcf456f1e8c1cc77a42c3130e9912e93260f351a0f151b7",
"transactionId": "2d97d9a195cf194a6afc8af3383232913ca13a30e03a67f3a557fd8d9d9bdd85",
"blockId": "3ee8e1ad873327f1edcb1452ce499678e386c9c0c448fb0f1ed630c2f79187e1",
"value": 3600000,
"index": 1,
"globalIndex": 32228193,
"creationHeight": 1081042,
"settlementHeight": 1081044,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 3\n2: 2\n3: Coll(109,68,-26,61,127,79,89,7,-3,-55,110,-86,17,-61,116,26,-15,-9,-109,-6,30,69,92,-83,3,41,50,73,-52,-107,-57,-71)\n4: Coll(91,-3,90,102,16,-103,-114,118,-74,-73,22,-13,-102,-87,98,-19,-51,-53,-50,7,-73,51,-12,114,105,42,64,35,20,49,90,-13)\n5: 0\n6: 1\n7: SigmaProp(ProveDlog(ECPoint(2da5af,db1f12,...)))\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(-33,42,127,6,80,121,-67,-7,12,-83,-35,-42,-46,86,25,38,82,-59,-48,-78,-55,-94,-108,8,7,105,-43,52,16,-112,27,-2)\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1\n49: 1\n50: 1756200000\n51: 1000000\n52: 0\n53: 1\n54: 1756200000\n55: 2\n56: 1\n57: 5\n58: 4\n59: 1600000\n60: 2\n61: 1\n62: 6\n63: 5\n64: 1000000\n65: -1\n66: 1756200000\n67: 1000000\n68: 0\n69: -1\n70: 1756200000\n71: 2\n72: 1\n73: 5\n74: 4\n75: 1600000\n76: 2\n77: 1\n78: 6\n79: 5\n80: 1000000\n81: 36755200000\n82: 35000000000\n83: 36755200000\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: 1756200000\n97: 1000000\n98: 0\n99: 1\n100: 1756200000\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: 1756200000\n114: 0\n115: 1\n116: 1\n117: -1\n118: 1756200000\n119: 2\n120: 1\n121: 5\n122: 4\n123: 1600000\n124: 2\n125: 1\n126: 6\n127: 5\n128: 1000000\n129: 36755200000\n130: 35000000000\n131: 0\n132: 1\n133: 36755200000\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: 1750000000\n148: SigmaProp(ProveDlog(ECPoint(6b3415,1b9c7b,...)))\n149: 0\n150: 1600000\n151: 1000000\n152: 0\n153: 0\n154: 1\n155: 0\n156: 0\n157: 0\n158: 1\n159: 1600000\n160: 2\n161: 1000000\n162: 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 == placeholder[SigmaProp](148).propBytes)))))\n )} else {(\n val box19 = OUTPUTS(placeholder[Int](149))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box19.value == SELF.value - placeholder[Long](150) - placeholder[Long](151), box19.propositionBytes == prop13.propBytes, if (coll4(placeholder[Int](152))) {(\n val tuple20 = box19.tokens(placeholder[Int](153))\n val tuple21 = SELF.tokens(placeholder[Int](154))\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](155), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }) }).fold(placeholder[Long](156), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }) == tuple21._2))\n )} else { OUTPUTS.forall({(box20: Box) => box20.tokens.size == placeholder[Int](157) }) })), OUTPUTS(placeholder[Int](158)).value == placeholder[Long](159), OUTPUTS(placeholder[Int](160)).value >= placeholder[Long](161))))\n )} } else { sigmaProp(placeholder[Boolean](162)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "5bfd5a6610998e76b6b716f39aa962edcdcbce07b733f472692a402314315af3",
"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6d44e63d7f4f5907fdc96eaa11c3741af1f793fa1e455cad03293249cc95c7b9",
"index": 1,
"amount": 1999,
"name": "Ergo Miners",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": null,
"renderedValue": null
},
"R6": {
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"sigmaType": "SLong",
"renderedValue": "1"
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"R8": {
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"sigmaType": "Coll[SBoolean]",
"renderedValue": "[false,false,false,false,false,false,true]"
},
"R7": {
"serializedValue": "5980aca6bec96280cce28bb564",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1693490400000,1725112800000]"
},
"R9": {
"serializedValue": "1a03000000",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[,,]"
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"R4": {
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"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "72643f6b9dcb521c8822e7455ab30e658d336ba96b7b92f9595036e83efb3c84",
"mainChain": true
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{
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"transactionId": "2d97d9a195cf194a6afc8af3383232913ca13a30e03a67f3a557fd8d9d9bdd85",
"blockId": "3ee8e1ad873327f1edcb1452ce499678e386c9c0c448fb0f1ed630c2f79187e1",
"value": 35000000000,
"index": 2,
"globalIndex": 32228194,
"creationHeight": 1081042,
"settlementHeight": 1081044,
"ergoTree": "0008cd032da5afa4b9159c4bb8357a0b0b4aaf01e84a6b1a1b9f0d724d432d405e454536",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2da5af,db1f12,...)))}",
"address": "9gougsJyU1hv9fhhR8w5nbbmnDZYtWyCBC52xNnoDUPaTKHLKVW",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c0010474b3b49688ff7cbbb2993c80868da8eec3111e248b33319c59ab975975",
"mainChain": true
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{
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"value": 1750000000,
"index": 3,
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b3415,1b9c7b,...)))}",
"address": "9gWkqeBUdJxgPv9TYUM6mLY1RYkXHmJuHRhHnnM2UZ9qFqySotz",
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"ergoTree": "0008cd0301465e5d092dd2f201667b1b88151facb2498364c333a2ba6109747304b4b98b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1465e5,12b208,...)))}",
"address": "9gUNFq1gAu2sb6KdF7jeQ1WKmTBx9J7WXA9ULsxve1BXmwmPmhL",
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"spentTransactionId": null,
"mainChain": true
}
],
"size": 5387,
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}