Transaction
ID: 86ea8f1784...827d
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4.81 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.004 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.81 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 85,532
Total coins transferred: 4.82 ERG
Fees: 0.004 ERG
Fees per byte: 0.000001532 ERG
Raw Transaction Data
{
"id": "86ea8f1784615464466f5082005fff8da2bcdbb223697b0d180fa3c6fca2827d",
"blockId": "233d85b8269daeb40d1663023a653a719a48f1faf760731354476f09d3adba4b",
"inclusionHeight": 1673035,
"timestamp": 1765183316680,
"index": 3,
"globalIndex": 9930736,
"numConfirmations": 85532,
"inputs": [
{
"boxId": "4d36058f7afa5bd0ea3bb5d3e00e153f7d7abca874f0bb37322a348254e39d1d",
"value": 10000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "4f76f85e68846a9fcb3ec8ea061292c8e88a694b5e2d7a6f10003386b5b06366",
"outputTransactionId": "a079ba0753c1bda573731c4794b9f00d61b55ca6f5f27d7bfe7ff9e246151df5",
"outputIndex": 0,
"outputGlobalIndex": 52109438,
"outputCreatedAt": 1673028,
"outputSettledAt": 1673030,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 1\n4: 0\n5: 1\n6: 3\n7: 0\n8: 69\n9: 82\n10: 71\n11: 1\n12: 2\n13: 5\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 0\n20: 0\n21: 2\n22: 2\n23: 1\n24: 1\n25: 1\n26: 1\n27: 3\n28: 2\n29: 3\n30: 0\n31: 1\n32: 2\n33: 10000000\n34: 10000000\n35: 10000000\n36: 1\n37: 2\n38: 3\n39: 2\n40: 3\n41: 2\n42: 0\n43: 2\n44: 10000000\n45: 10000000\n46: 10000000\n47: 1\n48: false\n49: 1\n50: 0\n51: 1\n52: 2\n53: 0\n54: 1\n55: 0\n56: 10000000\n57: 0\n58: 3\n59: 2\n60: 0\n61: 0\n62: 0\n63: 0\n64: 0\n65: 0\n66: 1\n67: 0\n68: 1\n69: 0\n70: 2\n71: 0\n72: 1\n73: 2\n74: 100\n75: 0\n76: 1\n77: 0\n78: 0\n79: 15\n80: 0\n81: 0\n82: 1\n83: true\n84: 2\n85: 1\n86: 1\n87: 0\n88: 0\n89: 0\n90: 5\n91: 1\n92: 2\n93: 3\n94: 4\n95: 4\n96: 5\n97: 10000000\n98: 2\n99: 10000000\n100: 2\n101: 10000000\n102: 2\n103: 10000000\n104: 3\n105: 2\n106: 0\n107: 0\n108: SigmaProp(ProveDlog(ECPoint(e45f52,5253a8,...)))\n109: 1\n110: 0\n111: 0\n112: 1\n113: 1\n114: 0\n115: true\n116: 0\n117: 0\n118: 0\n119: 0\n120: 0\n121: 0\n122: true\n123: false",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Int]].get\n val i2 = coll1(placeholder[Int](0))\n val i3 = coll1(placeholder[Int](1)) + i2\n val coll4 = SELF.propositionBytes\n val bool5 = OUTPUTS.filter({(box5: Box) => box5.propositionBytes == coll4 }).size == placeholder[Int](2)\n val bool6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll4 }).size == placeholder[Int](3)\n val l7 = SELF.R4[Long].get\n val coll8 = SELF.tokens\n val coll9 = coll8(placeholder[Int](4))._1\n val tuple10 = coll8(placeholder[Int](5))\n val coll11 = tuple10._1\n val i12 = coll1(placeholder[Int](6))\n val coll13 = SELF.R8[Coll[Int]].get\n val coll14 = SELF.R9[Coll[Long]].get\n val l15 = coll14(placeholder[Int](7))\n val coll16 = SELF.R6[Coll[Byte]].get\n val bool17 = coll16 == Coll[Byte](placeholder[Byte](8), placeholder[Byte](9), placeholder[Byte](10))\n val coll18 = SELF.R5[Coll[Byte]].get\n val l19 = coll14(placeholder[Int](11))\n val i20 = coll1(placeholder[Int](12))\n val i21 = coll1(placeholder[Int](13))\n if (HEIGHT < i3) {(\n val box22 = OUTPUTS(placeholder[Int](14))\n val coll23 = box22.tokens\n val i24 = coll23.size\n val tuple25 = coll23(placeholder[Int](15))\n val tuple26 = coll23(placeholder[Int](16))\n val l27 = tuple26._2\n val i28 = i12 + placeholder[Int](17) - l27.toInt\n val coll29 = box22.R8[Coll[Int]].get\n val box30 = OUTPUTS(placeholder[Int](18))\n val b31 = box30.R4[Byte].get\n val i32 = b31.toInt\n val tuple33 = box30.tokens(placeholder[Int](19))\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool6 && bool5) && (l7 > placeholder[Long](20))) && (OUTPUTS.size >= placeholder[Int](21))) && (i24 >= placeholder[Int](22))) && (\n (tuple25._1 == coll9) && (tuple25._2 == placeholder[Long](23))\n )\n ) && ((tuple26._1 == coll11) && (l27 == tuple10._2 - placeholder[Long](24)))\n ) && (i28 <= i12)\n ) && (((coll29(i32) == coll13(i32) + placeholder[Int](25)) && \n val i34 = i32 + placeholder[Int](26) % placeholder[Int](27)\n coll29(i34) == coll13(i34)\n ) && \n val i34 = i32 + placeholder[Int](28) % placeholder[Int](29)\n coll29(i34) == coll13(i34)\n )\n ) && (coll29(placeholder[Int](30)) + coll29(placeholder[Int](31)) + coll29(placeholder[Int](32)) == i28)\n ) && if (bool17) {(\n val l34 = box22.value\n val l35 = SELF.value\n val l36 = l34 - placeholder[Long](33) - l35 - placeholder[Long](34)\n ((((l36 >= l15) && (l34 == l35 + l36)) && (box30.value == placeholder[Long](35))) && (box30.tokens.size == placeholder[Int](36))) && (\n box30.R6[Long].get == l36\n )\n )} else {(\n val i34 = coll8.size\n val bool35 = (i34 >= placeholder[Int](37)) && (i24 >= placeholder[Int](38))\n bool35 && if (bool35) {(\n val tuple36 = coll23(placeholder[Int](39))\n val l37 = tuple36._2\n val l38 = if (i34 >= placeholder[Int](40)) { coll8(placeholder[Int](41))._2 } else { placeholder[Long](42) }\n val l39 = l37 - l38\n (\n (\n (\n ((((coll8(placeholder[Int](43))._1 == coll16) && (tuple36._1 == coll16)) && (l39 >= l15)) && (l37 == l38 + l39)) && (\n (box22.value == placeholder[Long](44)) && (SELF.value == placeholder[Long](45))\n )\n ) && (box30.value == placeholder[Long](46))\n ) && (box30.tokens.size == placeholder[Int](47))\n ) && (box30.R6[Long].get == l39)\n )} else { placeholder[Boolean](48) }\n )}\n ) && (\n (\n (((box22.R4[Long].get == l7) && (box22.R5[Coll[Byte]].get == coll18)) && (box22.R6[Coll[Byte]].get == coll16)) && (\n box22.R7[Coll[Int]].get == coll1\n )\n ) && (box22.R9[Coll[Long]].get == coll14)\n )\n ) && (box22.propositionBytes == coll4)\n ) && ((tuple33._1 == coll11) && (tuple33._2 == placeholder[Long](49)))\n ) && (((b31 == placeholder[Byte](50)) || (b31 == placeholder[Byte](51))) || (b31 == placeholder[Byte](52)))\n ) && box30.R5[Coll[Byte]].isDefined\n )\n )} else { if (HEIGHT >= i3 + i20) {(\n val box22 = CONTEXT.dataInputs(placeholder[Int](53))\n val coll23 = box22.tokens\n val l24 = box22.R4[Long].get\n val coll25 = INPUTS.filter({(box25: Box) =>\n val coll27 = box25.tokens\n (coll27.size >= placeholder[Int](54)) && (coll27(placeholder[Int](55))._1 == coll11)\n })\n val i26 = coll25.size\n val tuple27 = if (bool17) {(\n val l27 = SELF.value - placeholder[Long](56)\n (l27, l27 == coll25.fold(placeholder[Long](57), {(tuple28: (Long, Box)) => tuple28._1 + tuple28._2.R6[Long].get }) + l19)\n )} else { if (coll8.size >= placeholder[Int](58)) {(\n val l27 = coll8(placeholder[Int](59))._2\n (l27, l27 == coll25.fold(placeholder[Long](60), {(tuple28: (Long, Box)) => tuple28._1 + tuple28._2.R6[Long].get }) + l19)\n )} else { (placeholder[Long](61), (i26 == placeholder[Int](62)) && (l19 == placeholder[Long](63))) } }\n val box28 = OUTPUTS(placeholder[Int](64))\n val coll29 = box28.tokens\n val i30 = coll29.size\n val tuple31 = coll29(placeholder[Int](65))\n val tuple32 = coll29(placeholder[Int](66))\n val coll33 = box28.R7[Coll[Int]].get\n val i34 = coll33(placeholder[Int](67))\n val coll35 = coll25.filter({(box35: Box) => box35.R4[Byte].get == if (l24 > l7) { placeholder[Byte](68) } else { if (l24 < l7) { placeholder[Byte](69) } else { placeholder[Byte](70) } } })\n val bool36 = coll35.size > placeholder[Int](71)\n val coll37 = box28.R9[Coll[Long]].get\n val l38 = coll37(placeholder[Int](72))\n val l39 = tuple27._1\n val l40 = l39 * placeholder[Int](73).toLong / placeholder[Long](74)\n val l41 = l39 - l40\n val bool42 = l39 > placeholder[Long](75)\n sigmaProp((((((((((((((((((bool6 && bool5) && ((coll23.size >= placeholder[Int](76)) && (coll23(placeholder[Int](77))._1 == coll18))) && (l24 > placeholder[Long](78))) && (HEIGHT - box22.creationInfo._1 <= placeholder[Int](79))) && tuple27._2) && if (i26 > placeholder[Int](80)) { coll25.forall({(box43: Box) =>\n val tuple45 = box43.tokens(placeholder[Int](81))\n ((((tuple45._1 == coll11) && (tuple45._2 == placeholder[Long](82))) && box43.R4[Byte].isDefined) && box43.R5[Coll[Byte]].isDefined) && box43.R6[Long].isDefined\n }) } else { placeholder[Boolean](83) }) && (i30 >= placeholder[Int](84))) && ((tuple31._1 == coll9) && (tuple31._2 == placeholder[Long](85)))) && ((tuple32._1 == coll11) && (tuple32._2 == i12 + placeholder[Int](86).toLong))) && (box28.R8[Coll[Int]].get == Coll[Int](placeholder[Int](87), placeholder[Int](88), placeholder[Int](89)))) && ((((((((box28.R4[Long].get == l24) && ((i34 >= HEIGHT) && (i34 <= HEIGHT + placeholder[Int](90)))) && (coll33(placeholder[Int](91)) == i2)) && (coll33(placeholder[Int](92)) == i20)) && (coll33(placeholder[Int](93)) == i12)) && (coll33(placeholder[Int](94)) == coll1(placeholder[Int](95)) + i21)) && (coll33(placeholder[Int](96)) == i21)) && (box28.R6[Coll[Byte]].get == coll16))) && (box28.R5[Coll[Byte]].get == coll18)) && (box28.propositionBytes == coll4)) && if (bool36) { if (bool17) { (box28.value == placeholder[Long](97)) && (i30 == placeholder[Int](98)) } else { (box28.value == placeholder[Long](99)) && (i30 == placeholder[Int](100)) } } else { if (bool17) { (box28.value == placeholder[Long](101) + l38) && (i30 == placeholder[Int](102)) } else { ((box28.value == placeholder[Long](103)) && (i30 == placeholder[Int](104))) && (coll29(placeholder[Int](105))._2 == l38) } }) && (coll37(placeholder[Int](106)) == l15)) && (l38 == if (bool36) { placeholder[Long](107) } else { l41 })) && if (bool42) {(\n val coll43 = OUTPUTS.filter({(box43: Box) => box43.propositionBytes == placeholder[SigmaProp](108).propBytes })\n if (bool17) { (coll43.size >= placeholder[Int](109)) && (coll43(placeholder[Int](110)).value >= l40) } else {(\n val coll44 = coll43(placeholder[Int](111)).tokens.filter({(tuple44: (Coll[Byte], Long)) => tuple44._1 == coll16 })\n ((coll43.size >= placeholder[Int](112)) && (coll44.size >= placeholder[Int](113))) && (coll44(placeholder[Int](114))._2 >= l40)\n )}\n )} else { placeholder[Boolean](115) }) && if (bool36 && bool42) { coll35.forall({(box43: Box) =>\n val coll45 = box43.R5[Coll[Byte]].get\n val coll46 = OUTPUTS.filter({(box46: Box) => box46.propositionBytes == coll45 })\n val l47 = coll35.fold(placeholder[Long](116), {(tuple47: (Long, Box)) =>\n val box49 = tuple47._2\n val l50 = tuple47._1\n if (box49.R5[Coll[Byte]].get == coll45) { l50 + box49.R6[Long].get } else { l50 }\n }) * l41 / coll35.fold(placeholder[Long](117), {(tuple47: (Long, Box)) => tuple47._1 + tuple47._2.R6[Long].get })\n if (bool17) { coll46.fold(placeholder[Long](118), {(tuple48: (Long, Box)) => tuple48._1 + tuple48._2.value }) >= l47 } else { coll46.fold(placeholder[Long](119), {(tuple48: (Long, Box)) =>\n val coll50 = tuple48._2.tokens.filter({(tuple50: (Coll[Byte], Long)) => tuple50._1 == coll16 })\n val l51 = tuple48._1\n if (coll50.size > placeholder[Int](120)) { l51 + coll50(placeholder[Int](121))._2 } else { l51 }\n }) >= l47 }\n }) } else { placeholder[Boolean](122) })\n )} else { sigmaProp(placeholder[Boolean](123)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "313663559f3cba18d0d55f7a8f9c1b6d8bb395056674d8e2addd9c1f41cf7547",
"index": 0,
"amount": 1,
"name": " ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5e3f3c0158b5aa41ea59edcae61ccdd7e4c13d277bccd0277e97753e517e088f",
"index": 1,
"amount": 11,
"name": " ",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e206a2b821b5727e85beb5e78b4efb9f0250d59cd48481d2ded2c23e91ba1d07c66",
"sigmaType": "Coll[SByte]",
"renderedValue": "6a2b821b5727e85beb5e78b4efb9f0250d59cd48481d2ded2c23e91ba1d07c66"
},
"R6": {
"serializedValue": "0e03455247",
"sigmaType": "Coll[SByte]",
"renderedValue": "455247"
},
"R8": {
"serializedValue": "1003000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,0,0]"
},
"R7": {
"serializedValue": "1006889dcc010a02140404",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1673028,5,1,10,2,2]"
},
"R9": {
"serializedValue": "11028084af5f00",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,0]"
},
"R4": {
"serializedValue": "0596d89a850e",
"sigmaType": "SLong",
"renderedValue": "1884509707"
}
}
},
{
"boxId": "e23746ded1c00f5114f75cef84b8182c93288c6ae10703d7672fb94e81469b9e",
"value": 4811200800,
"index": 1,
"spendingProof": "71b9fb5e9c052e667e6aff38fc24f76088b34da13651923c8216a054e28e0dc5c901fd2426323cf3b134c602cbb97c122787f9f085ef11a1",
"outputBlockId": "21f7ff1ce5107cd9a99f65b17c276461c59b119f25fabe44c5ac58c0ace40614",
"outputTransactionId": "318a498400c51a999ec5891e4d5d3ca146c2b23dff0ee4a2ba7f99eed6c2301c",
"outputIndex": 2,
"outputGlobalIndex": 52109483,
"outputCreatedAt": 1673031,
"outputSettledAt": 1673032,
"ergoTree": "0008cd02e45f52ffb0ac1e95c5f61b2ad6a2232bb35322f504fff3bb53a28a66b2886302",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e45f52,5253a8,...)))}",
"address": "9gFdypWtoxBBgBaFSg46ZUKXxPYaJz5bfg4WLF6jA1VazoUoonq",
"assets": [
{
"tokenId": "cee139d54e722a40834075e89ba9c69e22eb1bb57d4ec304b9aa7cf6fe90560d",
"index": 0,
"amount": 4,
"name": " ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6ae5fec0d07b8f3a10b37e678247f1a8614adfde9b1b76a9ca330d7b4516a9de",
"index": 1,
"amount": 8981,
"name": "BvB P",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "f400aa4d8df6149c40169ee39d00e87574d7798c7ad6ec32a34600f0065f31f1",
"value": 10000000,
"index": 0,
"outputBlockId": "9af0dd19fee478970fae8e73e056a0934db6fd99907c5b86255df5dca21326a8",
"outputTransactionId": "ed0dd6c6702fbbe776f3b24ddc6f6d04c986b4d7122b0cfd5720097fb3f08732",
"outputIndex": 0,
"ergoTree": "1004040204000e2019b7f2e2f11052c020800c8b620660f9f0b5fd5b3f2beacc8b44af960477a6940e2030e273698c85bbe66319904c499bfefbd76f51487688d674b20623715ff0741bd801d6018cb2db6308b2a473000073010001d1ec93720173029372017303",
"address": "PViBL5acX6Pm6nD3FJQ3fZXESZTq8imJ47LJLMWtrhqm2nP5cVwMfXoHoqhnfvxUUKenebtEbLwZFTWPFRXJNsqLYDNWMtYAbvmqWgxCCPeH1fECQYtdZksCMwJrcmpLtNgfeADVEnmcUCPeTee8",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0598eafe870e",
"sigmaType": "SLong",
"renderedValue": "1887427212"
},
"R5": {
"serializedValue": "049467",
"sigmaType": "SInt",
"renderedValue": "6602"
}
}
}
],
"outputs": [
{
"boxId": "2fa5dbb5655d6e3db3b468fd110ebe023ad269388ae59e32d57a069e384aab06",
"transactionId": "86ea8f1784615464466f5082005fff8da2bcdbb223697b0d180fa3c6fca2827d",
"blockId": "233d85b8269daeb40d1663023a653a719a48f1faf760731354476f09d3adba4b",
"value": 10000000,
"index": 0,
"globalIndex": 52109597,
"creationHeight": 1673034,
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"ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 1\n4: 0\n5: 1\n6: 3\n7: 0\n8: 69\n9: 82\n10: 71\n11: 1\n12: 2\n13: 5\n14: 0\n15: 0\n16: 1\n17: 1\n18: 1\n19: 0\n20: 0\n21: 2\n22: 2\n23: 1\n24: 1\n25: 1\n26: 1\n27: 3\n28: 2\n29: 3\n30: 0\n31: 1\n32: 2\n33: 10000000\n34: 10000000\n35: 10000000\n36: 1\n37: 2\n38: 3\n39: 2\n40: 3\n41: 2\n42: 0\n43: 2\n44: 10000000\n45: 10000000\n46: 10000000\n47: 1\n48: false\n49: 1\n50: 0\n51: 1\n52: 2\n53: 0\n54: 1\n55: 0\n56: 10000000\n57: 0\n58: 3\n59: 2\n60: 0\n61: 0\n62: 0\n63: 0\n64: 0\n65: 0\n66: 1\n67: 0\n68: 1\n69: 0\n70: 2\n71: 0\n72: 1\n73: 2\n74: 100\n75: 0\n76: 1\n77: 0\n78: 0\n79: 15\n80: 0\n81: 0\n82: 1\n83: true\n84: 2\n85: 1\n86: 1\n87: 0\n88: 0\n89: 0\n90: 5\n91: 1\n92: 2\n93: 3\n94: 4\n95: 4\n96: 5\n97: 10000000\n98: 2\n99: 10000000\n100: 2\n101: 10000000\n102: 2\n103: 10000000\n104: 3\n105: 2\n106: 0\n107: 0\n108: SigmaProp(ProveDlog(ECPoint(e45f52,5253a8,...)))\n109: 1\n110: 0\n111: 0\n112: 1\n113: 1\n114: 0\n115: true\n116: 0\n117: 0\n118: 0\n119: 0\n120: 0\n121: 0\n122: true\n123: false",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Int]].get\n val i2 = coll1(placeholder[Int](0))\n val i3 = coll1(placeholder[Int](1)) + i2\n val coll4 = SELF.propositionBytes\n val bool5 = OUTPUTS.filter({(box5: Box) => box5.propositionBytes == coll4 }).size == placeholder[Int](2)\n val bool6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll4 }).size == placeholder[Int](3)\n val l7 = SELF.R4[Long].get\n val coll8 = SELF.tokens\n val coll9 = coll8(placeholder[Int](4))._1\n val tuple10 = coll8(placeholder[Int](5))\n val coll11 = tuple10._1\n val i12 = coll1(placeholder[Int](6))\n val coll13 = SELF.R8[Coll[Int]].get\n val coll14 = SELF.R9[Coll[Long]].get\n val l15 = coll14(placeholder[Int](7))\n val coll16 = SELF.R6[Coll[Byte]].get\n val bool17 = coll16 == Coll[Byte](placeholder[Byte](8), placeholder[Byte](9), placeholder[Byte](10))\n val coll18 = SELF.R5[Coll[Byte]].get\n val l19 = coll14(placeholder[Int](11))\n val i20 = coll1(placeholder[Int](12))\n val i21 = coll1(placeholder[Int](13))\n if (HEIGHT < i3) {(\n val box22 = OUTPUTS(placeholder[Int](14))\n val coll23 = box22.tokens\n val i24 = coll23.size\n val tuple25 = coll23(placeholder[Int](15))\n val tuple26 = coll23(placeholder[Int](16))\n val l27 = tuple26._2\n val i28 = i12 + placeholder[Int](17) - l27.toInt\n val coll29 = box22.R8[Coll[Int]].get\n val box30 = OUTPUTS(placeholder[Int](18))\n val b31 = box30.R4[Byte].get\n val i32 = b31.toInt\n val tuple33 = box30.tokens(placeholder[Int](19))\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool6 && bool5) && (l7 > placeholder[Long](20))) && (OUTPUTS.size >= placeholder[Int](21))) && (i24 >= placeholder[Int](22))) && (\n (tuple25._1 == coll9) && (tuple25._2 == placeholder[Long](23))\n )\n ) && ((tuple26._1 == coll11) && (l27 == tuple10._2 - placeholder[Long](24)))\n ) && (i28 <= i12)\n ) && (((coll29(i32) == coll13(i32) + placeholder[Int](25)) && \n val i34 = i32 + placeholder[Int](26) % placeholder[Int](27)\n coll29(i34) == coll13(i34)\n ) && \n val i34 = i32 + placeholder[Int](28) % placeholder[Int](29)\n coll29(i34) == coll13(i34)\n )\n ) && (coll29(placeholder[Int](30)) + coll29(placeholder[Int](31)) + coll29(placeholder[Int](32)) == i28)\n ) && if (bool17) {(\n val l34 = box22.value\n val l35 = SELF.value\n val l36 = l34 - placeholder[Long](33) - l35 - placeholder[Long](34)\n ((((l36 >= l15) && (l34 == l35 + l36)) && (box30.value == placeholder[Long](35))) && (box30.tokens.size == placeholder[Int](36))) && (\n box30.R6[Long].get == l36\n )\n )} else {(\n val i34 = coll8.size\n val bool35 = (i34 >= placeholder[Int](37)) && (i24 >= placeholder[Int](38))\n bool35 && if (bool35) {(\n val tuple36 = coll23(placeholder[Int](39))\n val l37 = tuple36._2\n val l38 = if (i34 >= placeholder[Int](40)) { coll8(placeholder[Int](41))._2 } else { placeholder[Long](42) }\n val l39 = l37 - l38\n (\n (\n (\n ((((coll8(placeholder[Int](43))._1 == coll16) && (tuple36._1 == coll16)) && (l39 >= l15)) && (l37 == l38 + l39)) && (\n (box22.value == placeholder[Long](44)) && (SELF.value == placeholder[Long](45))\n )\n ) && (box30.value == placeholder[Long](46))\n ) && (box30.tokens.size == placeholder[Int](47))\n ) && (box30.R6[Long].get == l39)\n )} else { placeholder[Boolean](48) }\n )}\n ) && (\n (\n (((box22.R4[Long].get == l7) && (box22.R5[Coll[Byte]].get == coll18)) && (box22.R6[Coll[Byte]].get == coll16)) && (\n box22.R7[Coll[Int]].get == coll1\n )\n ) && (box22.R9[Coll[Long]].get == coll14)\n )\n ) && (box22.propositionBytes == coll4)\n ) && ((tuple33._1 == coll11) && (tuple33._2 == placeholder[Long](49)))\n ) && (((b31 == placeholder[Byte](50)) || (b31 == placeholder[Byte](51))) || (b31 == placeholder[Byte](52)))\n ) && box30.R5[Coll[Byte]].isDefined\n )\n )} else { if (HEIGHT >= i3 + i20) {(\n val box22 = CONTEXT.dataInputs(placeholder[Int](53))\n val coll23 = box22.tokens\n val l24 = box22.R4[Long].get\n val coll25 = INPUTS.filter({(box25: Box) =>\n val coll27 = box25.tokens\n (coll27.size >= placeholder[Int](54)) && (coll27(placeholder[Int](55))._1 == coll11)\n })\n val i26 = coll25.size\n val tuple27 = if (bool17) {(\n val l27 = SELF.value - placeholder[Long](56)\n (l27, l27 == coll25.fold(placeholder[Long](57), {(tuple28: (Long, Box)) => tuple28._1 + tuple28._2.R6[Long].get }) + l19)\n )} else { if (coll8.size >= placeholder[Int](58)) {(\n val l27 = coll8(placeholder[Int](59))._2\n (l27, l27 == coll25.fold(placeholder[Long](60), {(tuple28: (Long, Box)) => tuple28._1 + tuple28._2.R6[Long].get }) + l19)\n )} else { (placeholder[Long](61), (i26 == placeholder[Int](62)) && (l19 == placeholder[Long](63))) } }\n val box28 = OUTPUTS(placeholder[Int](64))\n val coll29 = box28.tokens\n val i30 = coll29.size\n val tuple31 = coll29(placeholder[Int](65))\n val tuple32 = coll29(placeholder[Int](66))\n val coll33 = box28.R7[Coll[Int]].get\n val i34 = coll33(placeholder[Int](67))\n val coll35 = coll25.filter({(box35: Box) => box35.R4[Byte].get == if (l24 > l7) { placeholder[Byte](68) } else { if (l24 < l7) { placeholder[Byte](69) } else { placeholder[Byte](70) } } })\n val bool36 = coll35.size > placeholder[Int](71)\n val coll37 = box28.R9[Coll[Long]].get\n val l38 = coll37(placeholder[Int](72))\n val l39 = tuple27._1\n val l40 = l39 * placeholder[Int](73).toLong / placeholder[Long](74)\n val l41 = l39 - l40\n val bool42 = l39 > placeholder[Long](75)\n sigmaProp((((((((((((((((((bool6 && bool5) && ((coll23.size >= placeholder[Int](76)) && (coll23(placeholder[Int](77))._1 == coll18))) && (l24 > placeholder[Long](78))) && (HEIGHT - box22.creationInfo._1 <= placeholder[Int](79))) && tuple27._2) && if (i26 > placeholder[Int](80)) { coll25.forall({(box43: Box) =>\n val tuple45 = box43.tokens(placeholder[Int](81))\n ((((tuple45._1 == coll11) && (tuple45._2 == placeholder[Long](82))) && box43.R4[Byte].isDefined) && box43.R5[Coll[Byte]].isDefined) && box43.R6[Long].isDefined\n }) } else { placeholder[Boolean](83) }) && (i30 >= placeholder[Int](84))) && ((tuple31._1 == coll9) && (tuple31._2 == placeholder[Long](85)))) && ((tuple32._1 == coll11) && (tuple32._2 == i12 + placeholder[Int](86).toLong))) && (box28.R8[Coll[Int]].get == Coll[Int](placeholder[Int](87), placeholder[Int](88), placeholder[Int](89)))) && ((((((((box28.R4[Long].get == l24) && ((i34 >= HEIGHT) && (i34 <= HEIGHT + placeholder[Int](90)))) && (coll33(placeholder[Int](91)) == i2)) && (coll33(placeholder[Int](92)) == i20)) && (coll33(placeholder[Int](93)) == i12)) && (coll33(placeholder[Int](94)) == coll1(placeholder[Int](95)) + i21)) && (coll33(placeholder[Int](96)) == i21)) && (box28.R6[Coll[Byte]].get == coll16))) && (box28.R5[Coll[Byte]].get == coll18)) && (box28.propositionBytes == coll4)) && if (bool36) { if (bool17) { (box28.value == placeholder[Long](97)) && (i30 == placeholder[Int](98)) } else { (box28.value == placeholder[Long](99)) && (i30 == placeholder[Int](100)) } } else { if (bool17) { (box28.value == placeholder[Long](101) + l38) && (i30 == placeholder[Int](102)) } else { ((box28.value == placeholder[Long](103)) && (i30 == placeholder[Int](104))) && (coll29(placeholder[Int](105))._2 == l38) } }) && (coll37(placeholder[Int](106)) == l15)) && (l38 == if (bool36) { placeholder[Long](107) } else { l41 })) && if (bool42) {(\n val coll43 = OUTPUTS.filter({(box43: Box) => box43.propositionBytes == placeholder[SigmaProp](108).propBytes })\n if (bool17) { (coll43.size >= placeholder[Int](109)) && (coll43(placeholder[Int](110)).value >= l40) } else {(\n val coll44 = coll43(placeholder[Int](111)).tokens.filter({(tuple44: (Coll[Byte], Long)) => tuple44._1 == coll16 })\n ((coll43.size >= placeholder[Int](112)) && (coll44.size >= placeholder[Int](113))) && (coll44(placeholder[Int](114))._2 >= l40)\n )}\n )} else { placeholder[Boolean](115) }) && if (bool36 && bool42) { coll35.forall({(box43: Box) =>\n val coll45 = box43.R5[Coll[Byte]].get\n val coll46 = OUTPUTS.filter({(box46: Box) => box46.propositionBytes == coll45 })\n val l47 = coll35.fold(placeholder[Long](116), {(tuple47: (Long, Box)) =>\n val box49 = tuple47._2\n val l50 = tuple47._1\n if (box49.R5[Coll[Byte]].get == coll45) { l50 + box49.R6[Long].get } else { l50 }\n }) * l41 / coll35.fold(placeholder[Long](117), {(tuple47: (Long, Box)) => tuple47._1 + tuple47._2.R6[Long].get })\n if (bool17) { coll46.fold(placeholder[Long](118), {(tuple48: (Long, Box)) => tuple48._1 + tuple48._2.value }) >= l47 } else { coll46.fold(placeholder[Long](119), {(tuple48: (Long, Box)) =>\n val coll50 = tuple48._2.tokens.filter({(tuple50: (Coll[Byte], Long)) => tuple50._1 == coll16 })\n val l51 = tuple48._1\n if (coll50.size > placeholder[Int](120)) { l51 + coll50(placeholder[Int](121))._2 } else { l51 }\n }) >= l47 }\n }) } else { placeholder[Boolean](122) })\n )} else { sigmaProp(placeholder[Boolean](123)) } }\n}",
"address": "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",
"assets": [
{
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"index": 0,
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"name": " ",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
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"name": " ",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e206a2b821b5727e85beb5e78b4efb9f0250d59cd48481d2ded2c23e91ba1d07c66",
"sigmaType": "Coll[SByte]",
"renderedValue": "6a2b821b5727e85beb5e78b4efb9f0250d59cd48481d2ded2c23e91ba1d07c66"
},
"R6": {
"serializedValue": "0e03455247",
"sigmaType": "Coll[SByte]",
"renderedValue": "455247"
},
"R8": {
"serializedValue": "1003000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,0,0]"
},
"R7": {
"serializedValue": "10069c9dcc010a02140804",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1673038,5,1,10,4,2]"
},
"R9": {
"serializedValue": "11028084af5f00",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,0]"
},
"R4": {
"serializedValue": "0598eafe870e",
"sigmaType": "SLong",
"renderedValue": "1887427212"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "f2862ac0280f22db5f49efa62d0ed0054dc6f7c90bb02c9f5fadf3fc8387ce57",
"transactionId": "86ea8f1784615464466f5082005fff8da2bcdbb223697b0d180fa3c6fca2827d",
"blockId": "233d85b8269daeb40d1663023a653a719a48f1faf760731354476f09d3adba4b",
"value": 4000000,
"index": 1,
"globalIndex": 52109598,
"creationHeight": 1673034,
"settlementHeight": 1673035,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"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": "2fb9036965dce4e1acf2dd152faf575f3109769445e4a947c71c4d28fbb09fc7",
"mainChain": true
},
{
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"transactionId": "86ea8f1784615464466f5082005fff8da2bcdbb223697b0d180fa3c6fca2827d",
"blockId": "233d85b8269daeb40d1663023a653a719a48f1faf760731354476f09d3adba4b",
"value": 4807200800,
"index": 2,
"globalIndex": 52109599,
"creationHeight": 1673034,
"settlementHeight": 1673035,
"ergoTree": "0008cd02e45f52ffb0ac1e95c5f61b2ad6a2232bb35322f504fff3bb53a28a66b2886302",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e45f52,5253a8,...)))}",
"address": "9gFdypWtoxBBgBaFSg46ZUKXxPYaJz5bfg4WLF6jA1VazoUoonq",
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"type": "EIP-004"
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{
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"name": "BvB P",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "8de3a25839afd2e7e6883d9893a979c4101c5c485c923d37bc7ea2c6d7a0346a",
"mainChain": true
}
],
"size": 2611,
"isUnconfirmed": false
}