Transaction
ID: a7fef0832e...5064
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0036 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
12 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
479.92 ERG
Tokens:
Loading assets...
Outputs (7)
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:
12 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.6 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
479.32 ERG
Tokens:
Loading assets...
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: 710,144
Total coins transferred: 491.93 ERG
Fees: 0.0016 ERG
Fees per byte: 0.000000278 ERG
Raw Transaction Data
{
"id": "a7fef0832e932dcd8618dfb33d52e2a5b26f3f7d31476cd0b4a3ab403dfb5064",
"blockId": "281c80a5bac68744874bc6374d02c1d552aa870d19fcac3a50d02ea75cef04e4",
"inclusionHeight": 1046244,
"timestamp": 1689255841023,
"index": 1,
"globalIndex": 5516948,
"numConfirmations": 710144,
"inputs": [
{
"boxId": "7c0f3c4b896bb5c4caeccbc30d6fd6d4b512e27366acd997ac3e1e7836ee4a36",
"value": 3600000,
"index": 0,
"spendingProof": null,
"outputBlockId": "55cea627a2fbfd10ea1a1b0ef81f00cadd4f79d6dcdff4d37b2d449d320b3cd1",
"outputTransactionId": "59424fc2bbcb6373e857e902e24f1e0ba4de380ea530c262525ad5362dc73362",
"outputIndex": 1,
"outputGlobalIndex": 30908910,
"outputCreatedAt": 1046194,
"outputSettledAt": 1046198,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 3\n2: 2\n3: Coll(103,77,-33,107,-12,28,-4,74,-64,-120,103,44,116,-40,-124,-21,-30,115,90,-58,-53,84,-75,45,-52,48,79,66,-35,-127,-80,-20)\n4: Coll(-95,126,54,-31,-76,-93,71,-103,-51,127,-107,13,-123,64,3,124,65,3,119,-76,86,-25,-68,-16,-126,-18,6,61,-55,-98,120,33)\n5: 0\n6: 1\n7: SigmaProp(ProveDlog(ECPoint(b6d55a,f38f3a,...)))\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(55,-7,-43,-98,-43,-83,-100,-27,8,20,25,-64,34,-86,-40,2,-7,-68,-28,-23,5,-127,62,104,82,120,-126,70,14,-48,-64,38)\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1\n49: 1\n50: 606200000\n51: 1000000\n52: 0\n53: 1\n54: 606200000\n55: 2\n56: 1\n57: 5\n58: 4\n59: 1600000\n60: 2\n61: 1\n62: 6\n63: 5\n64: 1000000\n65: -1\n66: 606200000\n67: 1000000\n68: 0\n69: -1\n70: 606200000\n71: 2\n72: 1\n73: 5\n74: 4\n75: 1600000\n76: 2\n77: 1\n78: 6\n79: 5\n80: 1000000\n81: 12605200000\n82: 12000000000\n83: 12605200000\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: 606200000\n97: 1000000\n98: 0\n99: 1\n100: 606200000\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: 606200000\n114: 0\n115: 1\n116: 1\n117: -1\n118: 606200000\n119: 2\n120: 1\n121: 5\n122: 4\n123: 1600000\n124: 2\n125: 1\n126: 6\n127: 5\n128: 1000000\n129: 12605200000\n130: 12000000000\n131: 0\n132: 1\n133: 12605200000\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: 600000000\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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",
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"value": 12001000000,
"index": 1,
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{
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"outputCreatedAt": 1046194,
"outputSettledAt": 1046198,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 2\n9: 4\n10: 4\n11: 5\n12: 1000000\n13: 3\n14: 1000000\n15: 0\n16: 1600000\n17: 1\n18: 1600000\n19: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = coll1(placeholder[Int](0))._1\n if (INPUTS.size > placeholder[Int](1)) {(\n val l3 = SELF.R5[Long].get - placeholder[Long](2)\n val bool4 = l3 == placeholder[Long](3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](4)).tokens(placeholder[Int](5))._1 == coll2, if (bool4) {\n OUTPUTS.flatMap(\n {(box5: Box) => box5.tokens.map({(tuple7: (Coll[Byte], Long)) => if (tuple7._1 == coll2) { tuple7._2 } else { placeholder[Long](6) } }) }\n ).fold(placeholder[Long](7), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }) < placeholder[Long](8)\n } else {(\n val box5 = OUTPUTS(placeholder[Int](9))\n val l6 = if (bool4) { OUTPUTS(placeholder[Int](10)) } else { OUTPUTS(placeholder[Int](11)) }.value\n allOf(\n Coll[Boolean](\n box5.R5[Long].get == l3, box5.value == SELF.value - placeholder[Long](12) + l6 + OUTPUTS(placeholder[Int](13)).value + placeholder[Long](\n 14\n ) + l6, box5.propositionBytes == SELF.propositionBytes, box5.tokens == coll1\n )\n )\n )}\n )\n )\n )\n )} else {(\n val box3 = OUTPUTS(placeholder[Int](15))\n val prop4 = SELF.R4[SigmaProp].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box3.value == SELF.value - placeholder[Long](16), box3.propositionBytes == prop4.propBytes)), OUTPUTS(\n placeholder[Int](17)\n ).value == placeholder[Long](18), OUTPUTS.forall({(box5: Box) => box5.tokens.size == placeholder[Int](19) })\n )\n )\n ) && prop4\n )}\n}",
"address": "5jzCs5dntfe4dfyamLqUeL56vfUWqLGQAkRK5ZV3MYikKP4JfyYiVUej7gSv8hnqXdLCCpVP9bwwaB8rpMq5qvPWjLfNNjhW8zXa884cj6kENiCKHQoN7tKZWaVFHmZSsnzfieMHw9md4FdDtQMb6h8NTk3AkWY8bxh7ChgVvz713PP9MPGdVQHtLf1n5Y7hSrUvzzCK8uCAVPBqS26etFWSGwNAExAQpXTkMekUyTPY5e97wECMMMGt6TeYJgHrJfGHQm6WLL9FHwn5Y5QvY2uKdfJxxAjnYsKGSBGatcFpDQ8VRaot3QU9aQDdBH2WDdWHPCZEk2bwRrrtXMTp1ft19j1iQr7ZPJdxGVSWQB1TGRrzdmqYrn4WxHP2XMTNmGndVpifZB67YL4BGoUexr8oMyMgH2wB8BjziYzV8MsV5h92RnqAciCDD1",
"assets": [
{
"tokenId": "a17e36e1b4a34799cd7f950d8540037c410377b456e7bcf082ee063dc99e7821",
"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd02b6d55a34864903450ea625b8a849f82d8d8803b8a2a4d23b8569b67c0b28c8e1",
"sigmaType": "SSigmaProp",
"renderedValue": "02b6d55a34864903450ea625b8a849f82d8d8803b8a2a4d23b8569b67c0b28c8e1"
},
"R5": {
"serializedValue": "05b20c",
"sigmaType": "SLong",
"renderedValue": "793"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "41b0befda62c12cca6722cd3a5aeaad60a1e2ba2b2acfdab0076443047902fb4",
"transactionId": "a7fef0832e932dcd8618dfb33d52e2a5b26f3f7d31476cd0b4a3ab403dfb5064",
"blockId": "281c80a5bac68744874bc6374d02c1d552aa870d19fcac3a50d02ea75cef04e4",
"value": 2600000,
"index": 0,
"globalIndex": 30909912,
"creationHeight": 1046242,
"settlementHeight": 1046244,
"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": "674ddf6bf41cfc4ac088672c74d884ebe2735ac6cb54b52dcc304f42dd81b0ec",
"index": 0,
"amount": 1,
"name": "T-Rekt",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0c4c0e03240008cd02b6d55a34864903450ea625b8a849f82d8d8803b8a2a4d23b8569b67c0b28c8e128240008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c28240008cd03003687d2ff8bc32fa2c72dff78b13b8a73c624435065190404406191da91c0a628",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd02b6d55a34864903450ea625b8a849f82d8d8803b8a2a4d23b8569b67c0b28c8e1,20],[0008cd03b775aacf3f06a2d0835af6163add1355cbb8830dbcab9c903b35a103fc6f595c,20],[0008cd03003687d2ff8bc32fa2c72dff78b13b8a73c624435065190404406191da91c0a6,20]]"
},
"R6": {
"serializedValue": "3c0c3c0e0e3c0c3c0e580c3c0e58040444696e6f0d42726f776e20506c61737469630545787472610844696e6f2041726d0a4261636b67726f756e64064d6574656f720652617269747908556e636f6d6d6f6e0000",
"sigmaType": null,
"renderedValue": null
},
"R8": {
"serializedValue": "0c3c0e0e01086578706c696369740100",
"sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
"renderedValue": "[[6578706c69636974,00]]"
},
"R7": {
"serializedValue": "0e20674ddf6bf41cfc4ac088672c74d884ebe2735ac6cb54b52dcc304f42dd81b0ec",
"sigmaType": "Coll[SByte]",
"renderedValue": "674ddf6bf41cfc4ac088672c74d884ebe2735ac6cb54b52dcc304f42dd81b0ec"
},
"R9": {
"serializedValue": "4405cd031f0b4adf747d8efb9a6f8f593422049e5076f49ae5adae225040913b56d490a310",
"sigmaType": "(SSigmaProp, SLong)",
"renderedValue": "[031f0b4adf747d8efb9a6f8f593422049e5076f49ae5adae225040913b56d490a3,8]"
},
"R4": {
"serializedValue": "0404",
"sigmaType": "SInt",
"renderedValue": "2"
}
},
"spentTransactionId": "83ebf8816fb9416640f080d3b528c5c12e331642b41daec1f0c12aa3ddf44764",
"mainChain": true
},
{
"boxId": "9efa43f9e05423439c6f0701dc731b944ab5dfb7b897e0e935e461e3d8ff0b93",
"transactionId": "a7fef0832e932dcd8618dfb33d52e2a5b26f3f7d31476cd0b4a3ab403dfb5064",
"blockId": "281c80a5bac68744874bc6374d02c1d552aa870d19fcac3a50d02ea75cef04e4",
"value": 3600000,
"index": 1,
"globalIndex": 30909913,
"creationHeight": 1046242,
"settlementHeight": 1046244,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 3\n2: 2\n3: Coll(103,77,-33,107,-12,28,-4,74,-64,-120,103,44,116,-40,-124,-21,-30,115,90,-58,-53,84,-75,45,-52,48,79,66,-35,-127,-80,-20)\n4: Coll(-95,126,54,-31,-76,-93,71,-103,-51,127,-107,13,-123,64,3,124,65,3,119,-76,86,-25,-68,-16,-126,-18,6,61,-55,-98,120,33)\n5: 0\n6: 1\n7: SigmaProp(ProveDlog(ECPoint(b6d55a,f38f3a,...)))\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(55,-7,-43,-98,-43,-83,-100,-27,8,20,25,-64,34,-86,-40,2,-7,-68,-28,-23,5,-127,62,104,82,120,-126,70,14,-48,-64,38)\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1\n49: 1\n50: 606200000\n51: 1000000\n52: 0\n53: 1\n54: 606200000\n55: 2\n56: 1\n57: 5\n58: 4\n59: 1600000\n60: 2\n61: 1\n62: 6\n63: 5\n64: 1000000\n65: -1\n66: 606200000\n67: 1000000\n68: 0\n69: -1\n70: 606200000\n71: 2\n72: 1\n73: 5\n74: 4\n75: 1600000\n76: 2\n77: 1\n78: 6\n79: 5\n80: 1000000\n81: 12605200000\n82: 12000000000\n83: 12605200000\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: 606200000\n97: 1000000\n98: 0\n99: 1\n100: 606200000\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: 606200000\n114: 0\n115: 1\n116: 1\n117: -1\n118: 606200000\n119: 2\n120: 1\n121: 5\n122: 4\n123: 1600000\n124: 2\n125: 1\n126: 6\n127: 5\n128: 1000000\n129: 12605200000\n130: 12000000000\n131: 0\n132: 1\n133: 12605200000\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: 600000000\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}",
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"assets": [
{
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"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
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{
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"name": "T-Rekt",
"decimals": 0,
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}
],
"additionalRegisters": {
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"sigmaType": null,
"renderedValue": null
},
"R6": {
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"sigmaType": "SLong",
"renderedValue": "9"
},
"R8": {
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"sigmaType": "Coll[SBoolean]",
"renderedValue": "[false,false,false,true,false,true,true]"
},
"R7": {
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"sigmaType": "(SLong, SLong)",
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"sigmaType": null,
"renderedValue": null
}
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"globalIndex": 30909914,
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"ergoTree": "0008cd02b6d55a34864903450ea625b8a849f82d8d8803b8a2a4d23b8569b67c0b28c8e1",
"ergoTreeConstants": "",
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"address": "9fuakQ1WjpxcHPNp9XdeeVyqY6CPBb3gyuM5JGPw3gyXrYzbzP1",
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"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = coll1(placeholder[Int](0))._1\n if (INPUTS.size > placeholder[Int](1)) {(\n val l3 = SELF.R5[Long].get - placeholder[Long](2)\n val bool4 = l3 == placeholder[Long](3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](4)).tokens(placeholder[Int](5))._1 == coll2, if (bool4) {\n OUTPUTS.flatMap(\n {(box5: Box) => box5.tokens.map({(tuple7: (Coll[Byte], Long)) => if (tuple7._1 == coll2) { tuple7._2 } else { placeholder[Long](6) } }) }\n ).fold(placeholder[Long](7), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }) < placeholder[Long](8)\n } else {(\n val box5 = OUTPUTS(placeholder[Int](9))\n val l6 = if (bool4) { OUTPUTS(placeholder[Int](10)) } else { OUTPUTS(placeholder[Int](11)) }.value\n allOf(\n Coll[Boolean](\n box5.R5[Long].get == l3, box5.value == SELF.value - placeholder[Long](12) + l6 + OUTPUTS(placeholder[Int](13)).value + placeholder[Long](\n 14\n ) + l6, box5.propositionBytes == SELF.propositionBytes, box5.tokens == coll1\n )\n )\n )}\n )\n )\n )\n )} else {(\n val box3 = OUTPUTS(placeholder[Int](15))\n val prop4 = SELF.R4[SigmaProp].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](box3.value == SELF.value - placeholder[Long](16), box3.propositionBytes == prop4.propBytes)), OUTPUTS(\n placeholder[Int](17)\n ).value == placeholder[Long](18), OUTPUTS.forall({(box5: Box) => box5.tokens.size == placeholder[Int](19) })\n )\n )\n ) && prop4\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "State Box Singleton",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "SSigmaProp",
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"sigmaType": "SLong",
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},
"spentTransactionId": "e41ca3dad18173a105bcf56eee3838ee2af7bba8cbf5f812d4847072ae9b0c15",
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},
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"ergoTreeConstants": "",
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}
],
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}