Transaction
ID: a984699fb7...1979
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.021 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.455 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.121 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.345 ERG
Transaction Details
Confirmations: 22,966
Total coins transferred: 0.476 ERG
Fees: 0.01 ERG
Fees per byte: 0.000004552 ERG
Raw Transaction Data
{
"id": "a984699fb77af490ddef755d9261ee6f04d21e35cab734f7c4db17f032951979",
"blockId": "aa171285fe5300cf3570ca7bce2a8c641ffc827e67dff508b29d09f810f1fc51",
"inclusionHeight": 1738573,
"timestamp": 1773105756280,
"index": 2,
"globalIndex": 10423361,
"numConfirmations": 22966,
"inputs": [
{
"boxId": "3b95447f46227409f7d0b4bc04bc2ab1192f36f399fcabe4db9eba7156d71989",
"value": 21000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "1dcdf0ecb541a7acc2e479e73ce547a8425a7e30528ffd0da768c1371039cc26",
"outputTransactionId": "10ad1c602023605b7536f36027f6fe7cfbd2d086f51ff44bbafe6be77823e7c9",
"outputIndex": 0,
"outputGlobalIndex": 54049214,
"outputCreatedAt": 1738561,
"outputSettledAt": 1738562,
"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": "1107a194a1b7fcfe8aec1f0028929dd40180dac4090000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[-1147316176669648145,0,20,1738569,10000000,0,0]"
},
"R5": {
"serializedValue": "1a0236deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b00000005536cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a]"
},
"R6": {
"serializedValue": "1a02240008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3240008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3,0008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3]"
}
}
},
{
"boxId": "86b914c47f92e71eb0cbc84ebb3c71037bd046bb2e47a75000b0e68d38398273",
"value": 455000000,
"index": 1,
"spendingProof": "da56e11660d9384870c49362fedae959a5474e169af50e25d52534d1160e2ccae3119e8958403fa9da82256ee1e333cce2c126e069b18d3a",
"outputBlockId": "707b5e349d8c7ebb6af3e785f88c6cc424543ad025b03f37cdd9e5e5e5e0932b",
"outputTransactionId": "77c8e816fd5551ef751408fbb02850dfd954073d52d741fa7725bd841364ea89",
"outputIndex": 0,
"outputGlobalIndex": 54048848,
"outputCreatedAt": 1738547,
"outputSettledAt": 1738549,
"ergoTree": "0008cd024500bc546969ace37a6431e296b6ad5a3fa35ee14ea39d35852b9b07b11e5765",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4500bc,39a4d3,...)))}",
"address": "9f3T6oRBiaABWcTmBHpKfnmJx9VhMPK3J3C9Wxs6hs6BuNXTYBY",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "fa595d50ba62ec8b81433354602aaed3a27e4b0d9af623b6e816e90a9e9c106a",
"value": 100000000,
"index": 0,
"outputBlockId": "61430bbfc06e698809f874bb46f5da4c20895d5d9f652bb6c44dc490b3796b52",
"outputTransactionId": "1c033e25f2220e69281318f9be8d33626e7642d0299e3fe90407d6432c0dad37",
"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": "111700969ed40180dac40980dac4090e06807de0d403e802a00b04148084af5f50463200000000000a0c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1738635,10000000,10000000,7,3,8000,30000,180,720,2,10,100000000,40,35,25,0,0,0,0,0,5,6]"
}
}
}
],
"outputs": [
{
"boxId": "4c986b26f520b1dcf7d1926a44c2bce5d111bab48f356cc2d03ab48859d7cdaa",
"transactionId": "a984699fb77af490ddef755d9261ee6f04d21e35cab734f7c4db17f032951979",
"blockId": "aa171285fe5300cf3570ca7bce2a8c641ffc827e67dff508b29d09f810f1fc51",
"value": 121000000,
"index": 0,
"globalIndex": 54049552,
"creationHeight": 1738571,
"settlementHeight": 1738573,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 40\n8: 48\n9: 1\n10: 40\n11: 48\n12: 0\n13: 1\n14: 0\n15: 0\n16: 1\n17: 0\n18: 0\n19: 1\n20: 50\n21: 86\n22: true\n23: 0\n24: 2200000\n25: 0\n26: 0\n27: 1\n28: 2\n29: 3\n30: 4\n31: 5\n32: 6\n33: 7\n34: 8\n35: 9\n36: 10\n37: 32\n38: 2\n39: 1\n40: 0\n41: 256\n42: 256\n43: 0\n44: 256\n45: 0\n46: 1\n47: 1\n48: 2\n49: 3\n50: 4\n51: 5\n52: 6\n53: 7\n54: 8000\n55: 10\n56: 100\n57: 21\n58: 0\n59: 32\n60: 32\n61: 64\n62: 0\n63: 32\n64: 0\n65: 8\n66: 0\n67: 1\n68: 2\n69: 3\n70: 4\n71: 5\n72: 6\n73: 7\n74: 10000\n75: 8\n76: 50\n77: 100\n78: 8000\n79: 9\n80: 25\n81: 100\n82: 100000000\n83: 10000\n84: 3000\n85: 0\n86: 1\n87: 2\n88: 3\n89: 4\n90: 5\n91: 6\n92: 0\n93: -9223372036854775808\n94: 20001\n95: 10000\n96: 10000\n97: 10000\n98: 32\n99: 40\n100: 50\n101: 86\n102: 4\n103: 12",
"ergoTreeScript": "{\n val l1 = SELF.R6[Long].get\n val coll2 = SELF.R7[Coll[Coll[Byte]]].get\n val coll3 = SELF.R4[Coll[Long]].get\n if (getVar[Int](0.toByte).get == placeholder[Int](0)) {(\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = getVar[Coll[Byte]](2.toByte).get\n val box6 = OUTPUTS(placeholder[Int](2))\n val tuple7 = box6.tokens(placeholder[Int](3))\n val coll8 = getVar[Coll[Coll[Byte]]](5.toByte).get\n val i9 = getVar[Int](3.toByte).get\n val coll10 = getVar[Coll[Coll[Byte]]](6.toByte).get\n val coll11 = coll8.slice(i9, coll8.size).zip(coll10.slice(i9, coll10.size))\n val avlTree12 = box4.R5[AvlTree].get\n val avlTree13 = if (i9 > placeholder[Int](4)) {\n avlTree12.insert(coll8.slice(placeholder[Int](5), i9).zip(coll10.slice(placeholder[Int](6), i9)), getVar[Coll[Byte]](1.toByte).get).get\n } else { avlTree12 }\n val coll14 = coll2.map({(coll14: Coll[Byte]) => byteArrayToLong(coll14.slice(placeholder[Int](7), placeholder[Int](8))) })\n val box15 = OUTPUTS(\n placeholder[Int](9) + coll2.map(\n {(coll15: Coll[Byte]) =>\n if (byteArrayToLong(coll15.slice(placeholder[Int](10), placeholder[Int](11))) > placeholder[Long](12)) { placeholder[Int](13) } else {\n placeholder[Int](14)\n }\n }\n ).fold(placeholder[Int](15), {(tuple15: (Int, Int)) => tuple15._1 + tuple15._2 })\n )\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((HEIGHT.toLong >= l1) && box4.tokens.exists({(tuple16: (Coll[Byte], Long)) => tuple16._1 == coll5 })) && (\n box6.propositionBytes == box4.propositionBytes\n )\n ) && (box6.value >= box4.value)\n ) && ((tuple7._1 == coll5) && (tuple7._2 == placeholder[Long](16)))\n ) && (box6.R4[Coll[Long]].get == box4.R4[Coll[Long]].get)\n ) && (box6.R6[Coll[Coll[Long]]].get == box4.R6[Coll[Coll[Long]]].get)\n ) && (box6.R7[Coll[Coll[Long]]].get == box4.R7[Coll[Coll[Long]]].get)\n ) && (box6.R8[Coll[Coll[Long]]].get == box4.R8[Coll[Coll[Long]]].get)\n ) && (box6.R9[Coll[Long]].get == box4.R9[Coll[Long]].get)\n ) && (\n box6.R5[AvlTree].get.digest == if (coll11.size > placeholder[Int](17)) { avlTree13.update(coll11, getVar[Coll[Byte]](4.toByte).get).get } else {\n avlTree13\n }.digest\n )\n ) && coll2.indices.forall({(i16: Int) =>\n val l18 = coll14(i16)\n if (l18 > placeholder[Long](18)) {(\n val box19 = OUTPUTS(placeholder[Int](19) + i16)\n (box19.propositionBytes == coll2(i16).slice(placeholder[Int](20), placeholder[Int](21))) && (box19.value >= l18)\n )} else { placeholder[Boolean](22) }\n })\n ) && (\n (box15.propositionBytes == SELF.R8[Coll[Byte]].get) && (\n box15.value >= SELF.value - coll14.fold(placeholder[Long](23), {(tuple16: (Long, Long)) => tuple16._1 + tuple16._2 }) - placeholder[Long](24)\n )\n )\n )\n )} else {(\n val box4 = CONTEXT.dataInputs(placeholder[Int](25))\n val i5 = getVar[Int](1.toByte).get\n val coll6 = SELF.R5[Coll[Coll[Byte]]].get(i5)\n val coll7 = Coll[Int](\n placeholder[Int](26), placeholder[Int](27), placeholder[Int](28), placeholder[Int](29), placeholder[Int](30), placeholder[Int](31), placeholder[Int](\n 32\n ), placeholder[Int](33), placeholder[Int](34), placeholder[Int](35), placeholder[Int](36)\n ).map({(i7: Int) =>\n val i9 = placeholder[Int](37) + i7 * placeholder[Int](38)\n val l10 = coll6(i9).toLong\n val l11 = coll6(i9 + placeholder[Int](39)).toLong\n if (l10 < placeholder[Long](40)) { l10 + placeholder[Long](41) } else { l10 } * placeholder[Long](42) + if (l11 < placeholder[Long](43)) { l11 + placeholder[Long](44) } else { l11 }\n })\n val l8 = coll7(placeholder[Int](45))\n val coll9 = box4.R8[Coll[Coll[Long]]].get(coll3(placeholder[Int](46)).toInt)\n val l10 = coll7(placeholder[Int](47))\n val l11 = coll7(placeholder[Int](48))\n val l12 = coll7(placeholder[Int](49))\n val l13 = coll7(placeholder[Int](50))\n val l14 = coll7(placeholder[Int](51))\n val l15 = coll7(placeholder[Int](52))\n val l16 = coll7(placeholder[Int](53))\n val l17 = placeholder[Long](54) + coll7(placeholder[Int](55)) * placeholder[Long](56)\n val coll18 = box4.R4[Coll[Long]].get\n val l19 = coll18(placeholder[Int](57))\n val coll20 = SELF.R9[Coll[Byte]].get\n val l21 = byteArrayToLong(\n blake2b256(\n coll20.slice(placeholder[Int](58), placeholder[Int](59)).append(coll20.slice(placeholder[Int](60), placeholder[Int](61))).append(\n coll6.slice(placeholder[Int](62), placeholder[Int](63))\n )\n ).slice(placeholder[Int](64), placeholder[Int](65))\n )\n val box22 = OUTPUTS(coll2.size)\n sigmaProp(\n (\n (\n ((HEIGHT.toLong < l1) && box4.tokens.exists({(tuple23: (Coll[Byte], Long)) => tuple23._1 == getVar[Coll[Byte]](2.toByte).get })) && (\n l8 * coll9(placeholder[Int](66)) + l10 * coll9(placeholder[Int](67)) + l11 * coll9(placeholder[Int](68)) + l12 * coll9(\n placeholder[Int](69)\n ) + l13 * coll9(placeholder[Int](70)) + l14 * coll9(placeholder[Int](71)) + l15 * coll9(placeholder[Int](72)) + l16 * coll9(\n placeholder[Int](73)\n ) * placeholder[Long](74) - coll7(placeholder[Int](75)) * placeholder[Long](76) / placeholder[Long](77) * placeholder[Long](78) + coll7(\n placeholder[Int](79)\n ) * placeholder[Long](80) / placeholder[Long](81) / placeholder[Long](82) * placeholder[Long](83) + placeholder[Long](\n 84\n ) * l17 - if (l19 == placeholder[Long](85)) { l8 } else {\n if (l19 == placeholder[Long](86)) { l10 } else {\n if (l19 == placeholder[Long](87)) { l11 } else {\n if (l19 == placeholder[Long](88)) { l12 } else {\n if (l19 == placeholder[Long](89)) { l13 } else {\n if (l19 == placeholder[Long](90)) { l14 } else { if (l19 == placeholder[Long](91)) { l15 } else { l16 } }\n }\n }\n }\n }\n } / l17 * if (l21 >= placeholder[Long](92)) { l21 } else { l21 - placeholder[Long](93) } % placeholder[Long](94) - placeholder[Long](\n 95\n ) / placeholder[Long](96) / placeholder[Long](97) != byteArrayToLong(coll2(i5).slice(placeholder[Int](98), placeholder[Int](99)))\n )\n ) && coll2.indices.forall({(i23: Int) =>\n val box25 = OUTPUTS(i23)\n (box25.propositionBytes == coll2(i23).slice(placeholder[Int](100), placeholder[Int](101))) && (box25.value >= coll3(placeholder[Int](102)))\n })\n ) && ((box22.propositionBytes == getVar[Coll[Byte]](3.toByte).get) && (box22.value >= coll18(placeholder[Int](103))))\n )\n )}\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "1a0236deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b00000005536cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef01f40000000000fa000000000000000004b000000055,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe000001f40000000000fa00000000000004b00000005a]"
},
"R6": {
"serializedValue": "05d49dd401",
"sigmaType": "SLong",
"renderedValue": "1738602"
},
"R8": {
"serializedValue": "0e240008cd024500bc546969ace37a6431e296b6ad5a3fa35ee14ea39d35852b9b07b11e5765",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd024500bc546969ace37a6431e296b6ad5a3fa35ee14ea39d35852b9b07b11e5765"
},
"R7": {
"serializedValue": "1a0256deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef0000000000004b1d0000000000b71b0000070008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b356cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe0000000000000cb400000000007a120000050008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef0000000000004b1d0000000000b71b0000070008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3,cafebabecafebabecafebabecafebabecafebabecafebabecafebabecafebabe0000000000000cb400000000007a120000050008cd03a14cf5285ac35894e4e065b79af8af3c13d55219b80156083695f760bfed44b3]"
},
"R9": {
"serializedValue": "0e403b95447f46227409f7d0b4bc04bc2ab1192f36f399fcabe4db9eba7156d71989cf1030bfc286e0e7a094333e0b6d9ca603a8f9e23371ce0815fcde3722b7f6e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "3b95447f46227409f7d0b4bc04bc2ab1192f36f399fcabe4db9eba7156d71989cf1030bfc286e0e7a094333e0b6d9ca603a8f9e23371ce0815fcde3722b7f6e6"
},
"R4": {
"serializedValue": "1107a194a1b7fcfe8aec1f0028929dd40180dac4090000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[-1147316176669648145,0,20,1738569,10000000,0,0]"
}
},
"spentTransactionId": "f7a08a79e4277c8ea00150a929493353398d1b1827620e22808822a1c6c59e9b",
"mainChain": true
},
{
"boxId": "95d246ed23ac552a19254c17b68768c33a151dbe5613cf4cb8c05139a78b63b3",
"transactionId": "a984699fb77af490ddef755d9261ee6f04d21e35cab734f7c4db17f032951979",
"blockId": "aa171285fe5300cf3570ca7bce2a8c641ffc827e67dff508b29d09f810f1fc51",
"value": 10000000,
"index": 1,
"globalIndex": 54049553,
"creationHeight": 1738571,
"settlementHeight": 1738573,
"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": "c4ae5d165a7ff7a4a57d3eb8231a6f74d54b11996db50cc3deffd5aa5ccd927d",
"mainChain": true
},
{
"boxId": "5b2bc0dab019f5c1889e129a9ebfbe0407a14a7718b52fcec690a45a4dbe8b4f",
"transactionId": "a984699fb77af490ddef755d9261ee6f04d21e35cab734f7c4db17f032951979",
"blockId": "aa171285fe5300cf3570ca7bce2a8c641ffc827e67dff508b29d09f810f1fc51",
"value": 345000000,
"index": 2,
"globalIndex": 54049554,
"creationHeight": 1738571,
"settlementHeight": 1738573,
"ergoTree": "0008cd024500bc546969ace37a6431e296b6ad5a3fa35ee14ea39d35852b9b07b11e5765",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4500bc,39a4d3,...)))}",
"address": "9f3T6oRBiaABWcTmBHpKfnmJx9VhMPK3J3C9Wxs6hs6BuNXTYBY",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "f7a08a79e4277c8ea00150a929493353398d1b1827620e22808822a1c6c59e9b",
"mainChain": true
}
],
"size": 2197,
"isUnconfirmed": false
}