Transaction
ID: 4a04efd871...7fd2
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.011 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.289 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.021 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Unspent
Transaction Details
Confirmations: 22,441
Total coins transferred: 0.3 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000429 ERG
Raw Transaction Data
{
"id": "4a04efd871293739bf31691eb2ca15d14e0c48daa4397b0730cd27c28e557fd2",
"blockId": "05ecf242d2457142d70633feb679b03be0c379587384a656c09a727c5bada6ba",
"inclusionHeight": 1739472,
"timestamp": 1773216628151,
"index": 2,
"globalIndex": 10429373,
"numConfirmations": 22441,
"inputs": [
{
"boxId": "330571bfc0efb4bfbdf8e971ff9713a66d69e56376351b72e5e25ef6e6822dc5",
"value": 11000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "05ecf242d2457142d70633feb679b03be0c379587384a656c09a727c5bada6ba",
"outputTransactionId": "16a2f2651bfe408be6a3d95b111b2a5488cd9f2109d1ba14784f82459afe32be",
"outputIndex": 0,
"outputGlobalIndex": 54071538,
"outputCreatedAt": 1739470,
"outputSettledAt": 1739472,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: 0\n3: 32\n4: 33\n5: 34\n6: 35\n7: 5\n8: 0\n9: 0\n10: 8\n11: 2\n12: 1\n13: 0\n14: 32\n15: 32\n16: 54\n17: 0\n18: 22\n19: 0\n20: 32\n21: 0\n22: 256\n23: 16777216\n24: 0\n25: 256\n26: 65536\n27: 0\n28: 256\n29: 256\n30: 0\n31: 256\n32: 0\n33: true\n34: 20\n35: 21\n36: 0\n37: 256\n38: 256\n39: 0\n40: 256\n41: 1\n42: 2\n43: 1\n44: 1\n45: 1\n46: 4\n47: 0\n48: 2\n49: 2\n50: 2\n51: 0\n52: true\n53: 0\n54: 0\n55: 2200000\n56: 3\n57: 12\n58: 4\n59: 0\n60: 0\n61: 2\n62: 10\n63: 2\n64: 11\n65: 64\n66: 0\n67: 32\n68: 32\n69: 64\n70: 1\n71: Coll(-52,-48,-88,-59,16,113,9,38,-81,-51,-14,83,100,-5,-10,16,11,112,120,-56,77,-12,74,-62,-72,-3,99,38,-71,-108,-106,-43)\n72: 0\n73: 32\n74: 0\n75: 32\n76: 50\n77: 86\n78: 1\n79: true\n80: 0\n81: 1\n82: 32\n83: 40\n84: 1\n85: 32\n86: 40\n87: 40\n88: 48\n89: 0\n90: 12",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val coll2 = SELF.R4[Coll[Long]].get\n val l3 = coll2(placeholder[Int](0))\n val coll4 = SELF.R5[Coll[Coll[Byte]]].get\n val coll5 = SELF.R6[Coll[Coll[Byte]]].get\n if (l1 < l3) {(\n val box6 = OUTPUTS(placeholder[Int](1))\n val coll7 = CONTEXT.dataInputs\n val box8 = coll7(placeholder[Int](2))\n val coll9 = getVar[Coll[Byte]](4.toByte).get\n val i10 = coll4.size\n val coll11 = getVar[Coll[Byte]](1.toByte).get\n val coll12 = getVar[Coll[Byte]](5.toByte).get\n val coll13 = getVar[Coll[Byte]](2.toByte).get\n val l14 = coll12(placeholder[Int](3)).toLong\n val l15 = coll12(placeholder[Int](4)).toLong\n val l16 = coll12(placeholder[Int](5)).toLong\n val l17 = coll12(placeholder[Int](6)).toLong\n val l18 = coll2(placeholder[Int](7))\n val coll19 = box6.R5[Coll[Coll[Byte]]].get\n val coll20 = box6.R6[Coll[Coll[Byte]]].get\n val i21 = coll5.size\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((box6.propositionBytes == SELF.propositionBytes) && (box6.R4[Coll[Long]].get == coll2)) && box8.tokens.exists(\n {(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll9 }\n )\n ) && (coll2(placeholder[Int](8)) == byteArrayToLong(blake2b256(coll9).slice(placeholder[Int](9), placeholder[Int](10))))\n ) && (i10.toLong < coll2(placeholder[Int](11)))\n ) && (coll7(placeholder[Int](12)).R5[AvlTree].get.get(coll11, getVar[Coll[Byte]](0.toByte).get).get == coll12)\n ) && (\n (coll13.slice(placeholder[Int](13), placeholder[Int](14)) == coll11) && (\n coll13.slice(placeholder[Int](15), placeholder[Int](16)) == coll12.slice(placeholder[Int](17), placeholder[Int](18))\n )\n )\n ) && coll4.forall({(coll22: Coll[Byte]) => coll22.slice(placeholder[Int](19), placeholder[Int](20)) != coll11 })\n ) && (\n l1 >= if (l14 < placeholder[Long](21)) { l14 + placeholder[Long](22) } else { l14 } * placeholder[Long](23) + if (l15 < placeholder[\n Long\n ](24)) { l15 + placeholder[Long](25) } else { l15 } * placeholder[Long](26) + if (l16 < placeholder[Long](27)) {\n l16 + placeholder[Long](28)\n } else { l16 } * placeholder[Long](29) + if (l17 < placeholder[Long](30)) { l17 + placeholder[Long](31) } else { l17 }\n )\n ) && if (l18 == placeholder[Long](32)) { placeholder[Boolean](33) } else {(\n val l22 = coll12(placeholder[Int](34)).toLong\n val l23 = coll12(placeholder[Int](35)).toLong\n val l24 = if (l22 < placeholder[Long](36)) { l22 + placeholder[Long](37) } else { l22 } * placeholder[Long](38) + if (l23 < placeholder[\n Long\n ](39)) { l23 + placeholder[Long](40) } else { l23 }\n val coll25 = box8.R9[Coll[Long]].get\n val i26 = l18 - placeholder[Long](41) * placeholder[Long](42).toInt\n (l24 >= coll25(i26)) && (l24 <= coll25(i26 + placeholder[Int](43)))\n )}\n ) && (coll19.size == i10 + placeholder[Int](44))\n ) && (coll19(i10) == coll13)\n ) && coll4.indices.forall({(i22: Int) => coll19(i22) == coll4(i22) })\n ) && (coll20.size == i21 + placeholder[Int](45))\n ) && (coll20(i21) == getVar[Coll[Byte]](3.toByte).get)\n ) && coll5.indices.forall({(i22: Int) => coll20(i22) == coll5(i22) })\n ) && (box6.value >= SELF.value + coll2(placeholder[Int](46)))\n )\n )} else {(\n val i6 = getVar[Int](1.toByte).get\n val box7 = CONTEXT.dataInputs(placeholder[Int](47))\n val bool8 = box7.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == getVar[Coll[Byte]](0.toByte).get })\n val coll9 = box7.R4[Coll[Long]].get\n sigmaProp(if (i6 == placeholder[Int](48)) {(\n val i10 = coll4.size\n ((bool8 && (l1 >= l3 + placeholder[Long](49))) && (i10 < placeholder[Int](50))) && if (i10 == placeholder[Int](51)) { placeholder[Boolean](52) } else {(\n val box11 = OUTPUTS(placeholder[Int](53))\n (box11.propositionBytes == coll5(placeholder[Int](54))) && (box11.value >= SELF.value - placeholder[Long](55))\n )}\n )} else { if (i6 == placeholder[Int](56)) {(\n val coll10 = coll5.indices\n ((bool8 && (l1 > l3 + placeholder[Long](57))) && coll10.forall({(i11: Int) =>\n val box13 = OUTPUTS(i11)\n (box13.propositionBytes == coll5(i11)) && (box13.value >= coll2(placeholder[Int](58)))\n })) && (coll10.fold(placeholder[Long](59), {(tuple11: (Long, Int)) => tuple11._1 + OUTPUTS(tuple11._2).value }) <= SELF.value)\n )} else {(\n val i10 = coll4.size\n val box11 = OUTPUTS(placeholder[Int](60))\n val coll12 = box11.R9[Coll[Byte]].get\n val coll13 = getVar[Coll[Byte]](3.toByte).get\n val coll14 = box11.R7[Coll[Coll[Byte]]].get\n val i15 = coll14.size\n val l16 = SELF.value\n (((((((((((((bool8 && ((l1 >= l3 + placeholder[Long](61)) && (l1 <= l3 + placeholder[Long](62)))) && (i10 >= placeholder[Int](63))) && (box11.R4[Coll[Long]].get == coll2)) && (box11.R5[Coll[Coll[Byte]]].get == coll4)) && (box11.R6[Long].get >= l1 + coll9(placeholder[Int](64)))) && (box11.R8[Coll[Byte]].get == getVar[Coll[Byte]](2.toByte).get)) && (((coll12.size == placeholder[Int](65)) && (coll12.slice(placeholder[Int](66), placeholder[Int](67)) == SELF.id)) && (coll12.slice(placeholder[Int](68), placeholder[Int](69)) == coll13))) && CONTEXT.headers.exists({(header17: Header) => (header17.id == coll13) && (header17.height == l3 + placeholder[Long](70).toInt) })) && (blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](71))) && (i15 == i10)) && coll14.forall({(coll17: Coll[Byte]) => coll4.indices.exists({(i19: Int) => (coll4(i19).slice(placeholder[Int](72), placeholder[Int](73)) == coll17.slice(placeholder[Int](74), placeholder[Int](75))) && (coll5(i19) == coll17.slice(placeholder[Int](76), placeholder[Int](77))) }) })) && if (i15 <= placeholder[Int](78)) { placeholder[Boolean](79) } else { coll14.indices.slice(placeholder[Int](80), i15 - placeholder[Int](81)).forall({(i17: Int) => byteArrayToLong(coll14(i17).slice(placeholder[Int](82), placeholder[Int](83))) >= byteArrayToLong(coll14(i17 + placeholder[Int](84)).slice(placeholder[Int](85), placeholder[Int](86))) }) }) && (coll14.map({(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(placeholder[Int](87), placeholder[Int](88))) }).fold(placeholder[Long](89), {(tuple17: (Long, Long)) => tuple17._1 + tuple17._2 }) <= l16)) && (box11.value >= l16 + coll9(placeholder[Int](90)))\n )} })\n )}\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1107b2eb8dd6cf9ea0c7e4010028acabd40180dac4090000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[8234621338503985881,0,20,1739478,10000000,0,0]"
},
"R5": {
"serializedValue": "1a0136deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055]"
},
"R6": {
"serializedValue": "1a01240008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3]"
}
}
},
{
"boxId": "061edb63137598bc3f763813d736e28b78fbf5a734c1e68c68de36e10788530f",
"value": 289000000,
"index": 1,
"spendingProof": "1f4c45559222105b137689657a1b6620f13d419d04a482cf30973b50c4d50115709873061e0fd84934a6074429b50afc5eed25adf962a04e",
"outputBlockId": "05ecf242d2457142d70633feb679b03be0c379587384a656c09a727c5bada6ba",
"outputTransactionId": "16a2f2651bfe408be6a3d95b111b2a5488cd9f2109d1ba14784f82459afe32be",
"outputIndex": 2,
"outputGlobalIndex": 54071540,
"outputCreatedAt": 1739470,
"outputSettledAt": 1739472,
"ergoTree": "0008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a14cf5,8fedc4,...)))}",
"address": "9hgqu76KygCK4v53p1gYK9T9KPrnVVs2iu3gXMnfhvtpHbpWeQ7",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "96f00038cde8ea4de85e79b0e91498bde1f72cfdc4fdad61a256a6bf90cc715a",
"value": 200000000,
"index": 0,
"outputBlockId": "9c58a0f48c1523ec00ecdfe106c7b1ad535090a55df86105ec5390acc7937fd8",
"outputTransactionId": "55214177404863b56ceb239967d2a8cd7500753f331ac22ebd0e0498b21a2374",
"outputIndex": 0,
"ergoTree": "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",
"address": "7HbS89f3YjVgFmatca2MgAAbgmjekTcMWdEeh89LdHvLEQMDV1hqHNaJ17qBAMAcjvyCE4Ma2PuQ7V2Gq2pEqdk9fAi2td1p8Et9wyp6Ht4F1ANJfBDRVQVCWBtzMTXbj4grE38TBqDAqPG1T5mjQozptCL83umss7YiwtuC6W9ZAAsvXb9Pv7SQDaXP9xwZU5Ue3n3Zz7ppNZPHmt26aSsiz6ayLFmobxdXdwwp2x8r8qMTUYmdsUWq3mmpvKwQAaGFh68XjrvsnqSpUYUGDzU3Ah91JMifyBn8DyGQ1Yz9txYsWxqNKzV6r2sUQycvZ6gfSp2Uq9S3su2ir6TDbb69XUP32djjBceurG3dinGLSAZunhugBuiQ9edmhX1gciS9BknbfLjenN45o4T5512eXg4F3mrzjrM7QGdisHXPjN4MVpWxpsJtScQWKWsYGQE7YwuQNRemuwWGTdp319w1ksHpUgeQP1c59nk",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R6": {
"serializedValue": "1d07050006e807e012e707050208e807e012d704050400e807e0120005060ae807e012e807050802e807e0128f03050a04e807e012b817050101008727b817",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,3,500,1200,-500],[1,4,500,1200,-300],[2,0,500,1200,0],[3,5,500,1200,500],[4,1,500,1200,-200],[5,2,500,1200,1500],[-1,-1,0,-2500,1500]]"
},
"R8": {
"serializedValue": "1d05083c0a143c0a1e0000081e3c140a3c1e000008141e3c0a143c00000828281e1e1e14000008141432141e3c0000",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[30,5,10,30,5,15,0,0],[15,30,10,5,30,15,0,0],[10,15,30,5,10,30,0,0],[20,20,15,15,15,10,0,0],[10,10,25,10,15,30,0,0]]"
},
"R7": {
"serializedValue": "1d0306e80202a01f000080ade20406d00502c03e04904e80dac40906a00b040004f02e80b48913",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[180,1,2000,0,0,5000000],[360,1,4000,2,5000,10000000],[720,2,0,2,3000,20000000]]"
},
"R9": {
"serializedValue": "110678a001aa01be01c801f001",
"sigmaType": "Coll[SLong]",
"renderedValue": "[60,80,85,95,100,120]"
},
"R4": {
"serializedValue": "111700b4acd40180dac40980dac4090e06807de0d403e802a00b04148084af5f50463200000000000a0c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1739546,10000000,10000000,7,3,8000,30000,180,720,2,10,100000000,40,35,25,0,0,0,0,0,5,6]"
}
}
},
{
"boxId": "53dd5f00ff03aed37516e7c5625b5b79200f423bf6f703524023e10d59b6076e",
"value": 10000000,
"index": 1,
"outputBlockId": "a6fb76811d02179c640ef063ebd99f7e5fbe8599be1160e41067dac8b1e3a090",
"outputTransactionId": "30c43f34ad2873c3d586d306fd1745c915594b06d290da0d2db4edf10ea8a79a",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "SSigmaProp",
"renderedValue": "02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a"
},
"R5": {
"serializedValue": "646b9353a443a8052b1e5f7b238c482c9a57764952b75f24c40fdd373150b0da0202072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "101088729b736fca77fbc8a0f476b45131c9451099380ce387fe6c9b26846eee",
"transactionId": "4a04efd871293739bf31691eb2ca15d14e0c48daa4397b0730cd27c28e557fd2",
"blockId": "05ecf242d2457142d70633feb679b03be0c379587384a656c09a727c5bada6ba",
"value": 21000000,
"index": 0,
"globalIndex": 54071541,
"creationHeight": 1739470,
"settlementHeight": 1739472,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: 0\n3: 32\n4: 33\n5: 34\n6: 35\n7: 5\n8: 0\n9: 0\n10: 8\n11: 2\n12: 1\n13: 0\n14: 32\n15: 32\n16: 54\n17: 0\n18: 22\n19: 0\n20: 32\n21: 0\n22: 256\n23: 16777216\n24: 0\n25: 256\n26: 65536\n27: 0\n28: 256\n29: 256\n30: 0\n31: 256\n32: 0\n33: true\n34: 20\n35: 21\n36: 0\n37: 256\n38: 256\n39: 0\n40: 256\n41: 1\n42: 2\n43: 1\n44: 1\n45: 1\n46: 4\n47: 0\n48: 2\n49: 2\n50: 2\n51: 0\n52: true\n53: 0\n54: 0\n55: 2200000\n56: 3\n57: 12\n58: 4\n59: 0\n60: 0\n61: 2\n62: 10\n63: 2\n64: 11\n65: 64\n66: 0\n67: 32\n68: 32\n69: 64\n70: 1\n71: Coll(-52,-48,-88,-59,16,113,9,38,-81,-51,-14,83,100,-5,-10,16,11,112,120,-56,77,-12,74,-62,-72,-3,99,38,-71,-108,-106,-43)\n72: 0\n73: 32\n74: 0\n75: 32\n76: 50\n77: 86\n78: 1\n79: true\n80: 0\n81: 1\n82: 32\n83: 40\n84: 1\n85: 32\n86: 40\n87: 40\n88: 48\n89: 0\n90: 12",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val coll2 = SELF.R4[Coll[Long]].get\n val l3 = coll2(placeholder[Int](0))\n val coll4 = SELF.R5[Coll[Coll[Byte]]].get\n val coll5 = SELF.R6[Coll[Coll[Byte]]].get\n if (l1 < l3) {(\n val box6 = OUTPUTS(placeholder[Int](1))\n val coll7 = CONTEXT.dataInputs\n val box8 = coll7(placeholder[Int](2))\n val coll9 = getVar[Coll[Byte]](4.toByte).get\n val i10 = coll4.size\n val coll11 = getVar[Coll[Byte]](1.toByte).get\n val coll12 = getVar[Coll[Byte]](5.toByte).get\n val coll13 = getVar[Coll[Byte]](2.toByte).get\n val l14 = coll12(placeholder[Int](3)).toLong\n val l15 = coll12(placeholder[Int](4)).toLong\n val l16 = coll12(placeholder[Int](5)).toLong\n val l17 = coll12(placeholder[Int](6)).toLong\n val l18 = coll2(placeholder[Int](7))\n val coll19 = box6.R5[Coll[Coll[Byte]]].get\n val coll20 = box6.R6[Coll[Coll[Byte]]].get\n val i21 = coll5.size\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((box6.propositionBytes == SELF.propositionBytes) && (box6.R4[Coll[Long]].get == coll2)) && box8.tokens.exists(\n {(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll9 }\n )\n ) && (coll2(placeholder[Int](8)) == byteArrayToLong(blake2b256(coll9).slice(placeholder[Int](9), placeholder[Int](10))))\n ) && (i10.toLong < coll2(placeholder[Int](11)))\n ) && (coll7(placeholder[Int](12)).R5[AvlTree].get.get(coll11, getVar[Coll[Byte]](0.toByte).get).get == coll12)\n ) && (\n (coll13.slice(placeholder[Int](13), placeholder[Int](14)) == coll11) && (\n coll13.slice(placeholder[Int](15), placeholder[Int](16)) == coll12.slice(placeholder[Int](17), placeholder[Int](18))\n )\n )\n ) && coll4.forall({(coll22: Coll[Byte]) => coll22.slice(placeholder[Int](19), placeholder[Int](20)) != coll11 })\n ) && (\n l1 >= if (l14 < placeholder[Long](21)) { l14 + placeholder[Long](22) } else { l14 } * placeholder[Long](23) + if (l15 < placeholder[\n Long\n ](24)) { l15 + placeholder[Long](25) } else { l15 } * placeholder[Long](26) + if (l16 < placeholder[Long](27)) {\n l16 + placeholder[Long](28)\n } else { l16 } * placeholder[Long](29) + if (l17 < placeholder[Long](30)) { l17 + placeholder[Long](31) } else { l17 }\n )\n ) && if (l18 == placeholder[Long](32)) { placeholder[Boolean](33) } else {(\n val l22 = coll12(placeholder[Int](34)).toLong\n val l23 = coll12(placeholder[Int](35)).toLong\n val l24 = if (l22 < placeholder[Long](36)) { l22 + placeholder[Long](37) } else { l22 } * placeholder[Long](38) + if (l23 < placeholder[\n Long\n ](39)) { l23 + placeholder[Long](40) } else { l23 }\n val coll25 = box8.R9[Coll[Long]].get\n val i26 = l18 - placeholder[Long](41) * placeholder[Long](42).toInt\n (l24 >= coll25(i26)) && (l24 <= coll25(i26 + placeholder[Int](43)))\n )}\n ) && (coll19.size == i10 + placeholder[Int](44))\n ) && (coll19(i10) == coll13)\n ) && coll4.indices.forall({(i22: Int) => coll19(i22) == coll4(i22) })\n ) && (coll20.size == i21 + placeholder[Int](45))\n ) && (coll20(i21) == getVar[Coll[Byte]](3.toByte).get)\n ) && coll5.indices.forall({(i22: Int) => coll20(i22) == coll5(i22) })\n ) && (box6.value >= SELF.value + coll2(placeholder[Int](46)))\n )\n )} else {(\n val i6 = getVar[Int](1.toByte).get\n val box7 = CONTEXT.dataInputs(placeholder[Int](47))\n val bool8 = box7.tokens.exists({(tuple8: (Coll[Byte], Long)) => tuple8._1 == getVar[Coll[Byte]](0.toByte).get })\n val coll9 = box7.R4[Coll[Long]].get\n sigmaProp(if (i6 == placeholder[Int](48)) {(\n val i10 = coll4.size\n ((bool8 && (l1 >= l3 + placeholder[Long](49))) && (i10 < placeholder[Int](50))) && if (i10 == placeholder[Int](51)) { placeholder[Boolean](52) } else {(\n val box11 = OUTPUTS(placeholder[Int](53))\n (box11.propositionBytes == coll5(placeholder[Int](54))) && (box11.value >= SELF.value - placeholder[Long](55))\n )}\n )} else { if (i6 == placeholder[Int](56)) {(\n val coll10 = coll5.indices\n ((bool8 && (l1 > l3 + placeholder[Long](57))) && coll10.forall({(i11: Int) =>\n val box13 = OUTPUTS(i11)\n (box13.propositionBytes == coll5(i11)) && (box13.value >= coll2(placeholder[Int](58)))\n })) && (coll10.fold(placeholder[Long](59), {(tuple11: (Long, Int)) => tuple11._1 + OUTPUTS(tuple11._2).value }) <= SELF.value)\n )} else {(\n val i10 = coll4.size\n val box11 = OUTPUTS(placeholder[Int](60))\n val coll12 = box11.R9[Coll[Byte]].get\n val coll13 = getVar[Coll[Byte]](3.toByte).get\n val coll14 = box11.R7[Coll[Coll[Byte]]].get\n val i15 = coll14.size\n val l16 = SELF.value\n (((((((((((((bool8 && ((l1 >= l3 + placeholder[Long](61)) && (l1 <= l3 + placeholder[Long](62)))) && (i10 >= placeholder[Int](63))) && (box11.R4[Coll[Long]].get == coll2)) && (box11.R5[Coll[Coll[Byte]]].get == coll4)) && (box11.R6[Long].get >= l1 + coll9(placeholder[Int](64)))) && (box11.R8[Coll[Byte]].get == getVar[Coll[Byte]](2.toByte).get)) && (((coll12.size == placeholder[Int](65)) && (coll12.slice(placeholder[Int](66), placeholder[Int](67)) == SELF.id)) && (coll12.slice(placeholder[Int](68), placeholder[Int](69)) == coll13))) && CONTEXT.headers.exists({(header17: Header) => (header17.id == coll13) && (header17.height == l3 + placeholder[Long](70).toInt) })) && (blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](71))) && (i15 == i10)) && coll14.forall({(coll17: Coll[Byte]) => coll4.indices.exists({(i19: Int) => (coll4(i19).slice(placeholder[Int](72), placeholder[Int](73)) == coll17.slice(placeholder[Int](74), placeholder[Int](75))) && (coll5(i19) == coll17.slice(placeholder[Int](76), placeholder[Int](77))) }) })) && if (i15 <= placeholder[Int](78)) { placeholder[Boolean](79) } else { coll14.indices.slice(placeholder[Int](80), i15 - placeholder[Int](81)).forall({(i17: Int) => byteArrayToLong(coll14(i17).slice(placeholder[Int](82), placeholder[Int](83))) >= byteArrayToLong(coll14(i17 + placeholder[Int](84)).slice(placeholder[Int](85), placeholder[Int](86))) }) }) && (coll14.map({(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(placeholder[Int](87), placeholder[Int](88))) }).fold(placeholder[Long](89), {(tuple17: (Long, Long)) => tuple17._1 + tuple17._2 }) <= l16)) && (box11.value >= l16 + coll9(placeholder[Int](90)))\n )} })\n )}\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1107b2eb8dd6cf9ea0c7e4010028acabd40180dac4090000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[8234621338503985881,0,20,1739478,10000000,0,0]"
},
"R5": {
"serializedValue": "1a0236deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b00000005536cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a]"
},
"R6": {
"serializedValue": "1a02240008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3240008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3,0008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3]"
}
},
"spentTransactionId": "2d8327d30af1f1e6b45c463279b30f397e04c0d36ffba06bb9170b1488b09bc4",
"mainChain": true
},
{
"boxId": "486e5ae69fb13f001e1d178ee833465584732e7d050e40dd5db0b7930e546eb5",
"transactionId": "4a04efd871293739bf31691eb2ca15d14e0c48daa4397b0730cd27c28e557fd2",
"blockId": "05ecf242d2457142d70633feb679b03be0c379587384a656c09a727c5bada6ba",
"value": 1000000,
"index": 1,
"globalIndex": 54071542,
"creationHeight": 1739470,
"settlementHeight": 1739472,
"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": "01716bd5732d9c8e82ec207b170e3dff9e30da4473a435fd87f69c0094b1a5ce",
"mainChain": true
},
{
"boxId": "9d1a66cb08b247fa1e0528b1ae720335b19b1b25954790c82ea03acbd1370941",
"transactionId": "4a04efd871293739bf31691eb2ca15d14e0c48daa4397b0730cd27c28e557fd2",
"blockId": "05ecf242d2457142d70633feb679b03be0c379587384a656c09a727c5bada6ba",
"value": 278000000,
"index": 2,
"globalIndex": 54071543,
"creationHeight": 1739470,
"settlementHeight": 1739472,
"ergoTree": "0008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a14cf5,8fedc4,...)))}",
"address": "9hgqu76KygCK4v53p1gYK9T9KPrnVVs2iu3gXMnfhvtpHbpWeQ7",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
}
],
"size": 2329,
"isUnconfirmed": false
}