Transaction
ID: 00b91089b8...abd6
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0856 ERG
Tokens:
2,984.21
Spent
Address:
Output transaction:
Settlement height:
Value:
0.05 ERG
Tokens:
1,100.57
Outputs (7)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
1,089.68
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
257
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0844 ERG
Tokens:
2,724.61
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0488 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
3
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
10.89
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 489,272
Total coins transferred: 0.1356 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001025 ERG
Raw Transaction Data
{
"id": "00b91089b8e1ea3dce213339622bddddf2f29e6ef519a1febeb36c8cec04abd6",
"blockId": "22c06829c62ed0997ba31563f6bbfbefc38bb1d23719c3138a4f697bac9cfb1a",
"inclusionHeight": 1288856,
"timestamp": 1718669515762,
"index": 2,
"globalIndex": 7367209,
"numConfirmations": 489272,
"inputs": [
{
"boxId": "7d5891a9fae8a8b4ea45feb596dff77e413fac7d6bdc3ac3abafed1d3aa6955f",
"value": 85600000,
"index": 0,
"spendingProof": null,
"outputBlockId": "22c06829c62ed0997ba31563f6bbfbefc38bb1d23719c3138a4f697bac9cfb1a",
"outputTransactionId": "b7da31af3bf9a2725426f359462c2fabb49c77ff3953eef3c62d5859c4b300a4",
"outputIndex": 2,
"outputGlobalIndex": 40888167,
"outputCreatedAt": 1288854,
"outputSettledAt": 1288856,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
"ergoTreeScript": "{\n val opt1 = SELF.R4[Coll[Byte]]\n val coll2 = opt1.get\n val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n val opt4 = SELF.R5[Coll[Long]]\n val opt5 = SELF.R6[Coll[Long]]\n val opt6 = SELF.R7[Coll[Byte]]\n val coll7 = SELF.R8[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1))\n val l9 = coll7(placeholder[Int](2))\n val l10 = coll7(placeholder[Int](3))\n val l11 = CONTEXT.preHeader.timestamp\n val coll12 = opt4.get\n val coll13 = SELF.tokens\n val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n val l15 = box14.R6[Long].get\n val l16 = SELF.value\n val coll17 = Coll[Byte]()\n val coll18 = opt6.get\n val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n val coll20 = tuple19._1\n val i21 = coll20.size\n val bool22 = i21 == placeholder[Int](6)\n val box23 = INPUTS(placeholder[Int](7))\n val coll24 = box23.id\n val coll25 = SELF.id\n val bool26 = coll24 == coll25\n val i27 = placeholder[Int](8)\n val i28 = placeholder[Int](9)\n val i29 = if (bool26) { i27 } else { i28 }\n val i30 = i29 + placeholder[Int](10)\n val box31 = OUTPUTS.getOrElse(i30, SELF)\n val tuple32 = \n val l32 = box31.value\n val tuple33 = (coll17, l32)\n tuple33\n \n val tuple33 = \n val coll33 = box31.tokens\n val tuple34 = (coll20, placeholder[Long](11))\n val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n tuple35\n \n val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n val l35 = tuple34._2\n val coll36 = opt5.get\n val l37 = coll36(placeholder[Int](13))\n val i38 = i29 + placeholder[Int](14)\n val box39 = OUTPUTS.getOrElse(i38, SELF)\n val tuple40 = \n val l40 = box39.value\n val tuple41 = (coll17, l40)\n tuple41\n \n val tuple41 = \n val coll41 = box39.tokens\n val tuple42 = (coll20, placeholder[Long](15))\n val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n tuple43\n \n val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n val l43 = tuple42._2\n val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n val coll45 = box14.R4[Coll[Int]].get\n val coll46 = tuple42._1\n proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n l9, l10, l8 + placeholder[Long](21)\n )\n )\n ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n val box47 = OUTPUTS(placeholder[Int](24))\n allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n )} else {(\n val box47 = box23\n val coll48 = coll24\n val coll49 = coll25\n val bool50 = bool26\n val i51 = i27\n val i52 = i28\n val i53 = i29\n val box54 = OUTPUTS.getOrElse(i53, SELF)\n val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n val l56 = tuple55._2\n val coll57 = coll20\n val i58 = i21\n val bool59 = bool22\n val i60 = i30\n val box61 = box31\n val tuple62 = tuple32\n val tuple63 = tuple33\n val tuple64 = tuple34\n val l65 = tuple19._2\n val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n val i70 = i38\n val box71 = box39\n val tuple72 = tuple40\n val tuple73 = tuple41\n val tuple74 = tuple42\n val coll75 = box61.propositionBytes\n val l76 = l9 + l56\n val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n val l78 = l35\n l65 - l78 - l15 * placeholder[Long](35)\n )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n val coll78 = coll46\n val l79 = l43\n ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n )} } else { placeholder[Boolean](44) }) && sigmaProp(\n (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n )\n}",
"address": "2JhU6VoVfmAxjDRnfJxXp77vERh1cgiu7wXocpjLqVANTFH2F2WWiBDfh6eV1NFAxCXWYhvKjMgHZLKMGxadKhWbRJR2hYCaUwP1LfcWV6kqEJokSxf7Kk3TyG8Zgx43kRP7n2eXSmPQYbSghY3zKaFmmi618EJYxgdwMuse9PH16ukYfWz7KXqbjczJLUTMNa867nJ2KmhrMUYgLHBTBKh6taK2grAVN1XLGgRQsKGqDeksAHbocytvcyZYqmqApftSHZFuBt6AxjUZkpN5PvkZJT9VQjQiN1jSWXB4sijF1B79AFDJmvX2yMt1wav9Zd4C2HSuKDwKEeNgQVfixRh9eH3pftpsaG9aoCvrJz6gD4JPkbUFLiuHkRV8WUKvD99KkbbwU8aJszSWcRRR4jbnwKjuZ2wSL1QMUyBmwEi6rrb1i7bN5FCUtvSyU9AYdZhMELWEgF9P5UDSuMDWWbHfJnviyg7C2aUA6YWoGt7W2xPNPbHRCmBWkGUw18fyqRmMLpYiNnLdfBoZwn2ECxEcyj1JBNH7U88MiDnYwZp5EzTSTSTLvfAT2YRhd4qa3tvSLCgkwLAXa4FEui8gUfEQ2jrGBMjSe8L9qMusncpAywZhB5Q6VepENxstYAPyDEZqhCotuzCC3anJcq5LZzRsbEC8zKLxvV7uMqg5bUJdSdo472CG98DiRwAYgG6Qiia3JwVFX9bHu5y4XdDpEbvr73n7UEi3FMaPG9PPm4xedNryfSdR8dSdBm7Km2aBGcH4nLoTGnHXRkeGCFbfA3dcAGwLQGhq7N4JhaQ6LgRS32Q1Fo34xE73aunrHy5hhAWq9ykpz6Ao1ks8sgorVW23R7V87d6oy7rfhKo27FK6YYxvwS9reB2qKwPDRg3JPWGDemS1oTmxU95mg4HTQ4HjzBbTEJreUofLxUdgkkZGknFA1HGSJZHJ1BFui86C7CrUq1UbNQmq66n8aezkC332CPB9ddz7rLgFF7tomCKRWYibwKquVJ875a7svvsw3465hADbaQ6pX5adj1oUHWQZeKdfBHhipHYqZw17JUUBb1E9cNjZVWiaSB8vN89R6oWaebQhL24b9dUpmQrV7ANaJ9AFFZE4ocsQrVHiak1Y4tiHNuG5cT7kYfT2mNSB3p5wqFNu2DVmX4V8yQaxCBKKkhjFPjmmeErjtQCbXbBuV8CPt8b3Ak9jyaqL9WF6MUKTcFrDWnAgwdNtfXT7ibnKBWxrpvGTqr7oUZFsnVqdaCgUuYeGwyFM66yrYRr9SmU3bjUhhwazZQpAzzFQc4yos6e3PfYBCZd7aTjduNDUkLqV9GEM43cZtKpU25c4AWikiQqzeBAGPSYpPxtxtzKoN8izE8PekBMq5ejv7qoVzfMqJ9SWwN1MgVJj7wjyuJ98x1QQ8VX9scodhfU1Ff3MgZk7may2kefyER1qqTzwFZYTbYhDzRJdb98QEJz6b4aZiBpurueSpjXGo4qMzkfC9467DGRmwQCbBLN97nfJ2d8zgeihr6zLyDvLK7rNBGc6PVp9SEsv3cvxQrvVShYkAqxUxTFkbdfvzsrdGHanUaQ5zZX24GRxM2wb2GWUuZxkBcpVj6a5gKJrQtjyK7d3WADNoEcbcAYphgJf",
"assets": [
{
"tokenId": "d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c",
"index": 0,
"amount": 2984214345782,
"name": "ERGF",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1102008080d0d88bdea2e302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,100000000000000000]"
},
"R6": {
"serializedValue": "1102a697ca0280d8bb9dd4f802",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2704851,6470936000000]"
},
"R8": {
"serializedValue": "11038a9cba019cf7e69bb7d40118",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1525509,3649543396814,12]"
},
"R7": {
"serializedValue": "0e20d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312"
},
"R4": {
"serializedValue": "0e240008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d"
}
}
},
{
"boxId": "2139b4f834bdb3cffddab5cdaa4e672286b739ef6f7199cd3290a9cdc90167a0",
"value": 50000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "5f15b4599e8be318da77688035d0aaec20bb24d53e290f5dcf607b92a42ca5b1",
"outputTransactionId": "a446a4f50defe98616161d633a1c0aec46a5204f9a5177c977d28e4b8ceda67b",
"outputIndex": 0,
"outputGlobalIndex": 40766894,
"outputCreatedAt": 1285339,
"outputSettledAt": 1285341,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
"ergoTreeScript": "{\n val opt1 = SELF.R4[Coll[Byte]]\n val coll2 = opt1.get\n val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n val opt4 = SELF.R5[Coll[Long]]\n val opt5 = SELF.R6[Coll[Long]]\n val opt6 = SELF.R7[Coll[Byte]]\n val coll7 = SELF.R8[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1))\n val l9 = coll7(placeholder[Int](2))\n val l10 = coll7(placeholder[Int](3))\n val l11 = CONTEXT.preHeader.timestamp\n val coll12 = opt4.get\n val coll13 = SELF.tokens\n val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n val l15 = box14.R6[Long].get\n val l16 = SELF.value\n val coll17 = Coll[Byte]()\n val coll18 = opt6.get\n val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n val coll20 = tuple19._1\n val i21 = coll20.size\n val bool22 = i21 == placeholder[Int](6)\n val box23 = INPUTS(placeholder[Int](7))\n val coll24 = box23.id\n val coll25 = SELF.id\n val bool26 = coll24 == coll25\n val i27 = placeholder[Int](8)\n val i28 = placeholder[Int](9)\n val i29 = if (bool26) { i27 } else { i28 }\n val i30 = i29 + placeholder[Int](10)\n val box31 = OUTPUTS.getOrElse(i30, SELF)\n val tuple32 = \n val l32 = box31.value\n val tuple33 = (coll17, l32)\n tuple33\n \n val tuple33 = \n val coll33 = box31.tokens\n val tuple34 = (coll20, placeholder[Long](11))\n val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n tuple35\n \n val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n val l35 = tuple34._2\n val coll36 = opt5.get\n val l37 = coll36(placeholder[Int](13))\n val i38 = i29 + placeholder[Int](14)\n val box39 = OUTPUTS.getOrElse(i38, SELF)\n val tuple40 = \n val l40 = box39.value\n val tuple41 = (coll17, l40)\n tuple41\n \n val tuple41 = \n val coll41 = box39.tokens\n val tuple42 = (coll20, placeholder[Long](15))\n val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n tuple43\n \n val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n val l43 = tuple42._2\n val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n val coll45 = box14.R4[Coll[Int]].get\n val coll46 = tuple42._1\n proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n l9, l10, l8 + placeholder[Long](21)\n )\n )\n ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n val box47 = OUTPUTS(placeholder[Int](24))\n allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n )} else {(\n val box47 = box23\n val coll48 = coll24\n val coll49 = coll25\n val bool50 = bool26\n val i51 = i27\n val i52 = i28\n val i53 = i29\n val box54 = OUTPUTS.getOrElse(i53, SELF)\n val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n val l56 = tuple55._2\n val coll57 = coll20\n val i58 = i21\n val bool59 = bool22\n val i60 = i30\n val box61 = box31\n val tuple62 = tuple32\n val tuple63 = tuple33\n val tuple64 = tuple34\n val l65 = tuple19._2\n val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n val i70 = i38\n val box71 = box39\n val tuple72 = tuple40\n val tuple73 = tuple41\n val tuple74 = tuple42\n val coll75 = box61.propositionBytes\n val l76 = l9 + l56\n val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n val l78 = l35\n l65 - l78 - l15 * placeholder[Long](35)\n )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n val coll78 = coll46\n val l79 = l43\n ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n )} } else { placeholder[Boolean](44) }) && sigmaProp(\n (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312",
"index": 0,
"amount": 110057,
"name": "SigUSDF",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1102008080d0d88bdea2e302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,100000000000000000]"
},
"R6": {
"serializedValue": "110280a8a6e6fa0ed0a60d",
"sigmaType": "Coll[SLong]",
"renderedValue": "[257000000000,108968]"
},
"R8": {
"serializedValue": "1103000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
},
"R7": {
"serializedValue": "0e20d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c",
"sigmaType": "Coll[SByte]",
"renderedValue": "d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c"
},
"R4": {
"serializedValue": "0e240008cd02cda3826eb9d3b8e073c7898dd0f3336debafcadbdddf00e974245621c83f7e96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02cda3826eb9d3b8e073c7898dd0f3336debafcadbdddf00e974245621c83f7e96"
}
}
}
],
"dataInputs": [
{
"boxId": "4809cfc400d8f387fbb8941b800f3211b7f2bd9ebb86ae701f5aee0eeb072d51",
"value": 8000000,
"index": 0,
"outputBlockId": "7c773fe87c729847236213d306865984de4be7ae5d87a4f6b3f94a8a9160ea59",
"outputTransactionId": "1f96590e9f103357b759dda3aa6627decf56f41535736b858a7645f46ff67359",
"outputIndex": 0,
"ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
"address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "10021414",
"sigmaType": "Coll[SInt]",
"renderedValue": "[10,10]"
},
"R5": {
"serializedValue": "0e240008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d"
},
"R6": {
"serializedValue": "0580dac409",
"sigmaType": "SLong",
"renderedValue": "10000000"
},
"R7": {
"serializedValue": "3c0e0e20d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c20d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312",
"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c,d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312]"
}
}
}
],
"outputs": [
{
"boxId": "ae3729e64b00dd4d5e56f5041feafeba6fe7003284cfdf9fc19f377dc0575df2",
"transactionId": "00b91089b8e1ea3dce213339622bddddf2f29e6ef519a1febeb36c8cec04abd6",
"blockId": "22c06829c62ed0997ba31563f6bbfbefc38bb1d23719c3138a4f697bac9cfb1a",
"value": 100000,
"index": 0,
"globalIndex": 40888172,
"creationHeight": 1288855,
"settlementHeight": 1288856,
"ergoTree": "0008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(55d75e,4689be,...)))}",
"address": "9eZRZN2bjcNrFYX4nUU6pkTZzTMdJPP3FWPk7sbFo51CaC8iDua",
"assets": [
{
"tokenId": "d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312",
"index": 0,
"amount": 108968,
"name": "SigUSDF",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "5f884b06600ca88d707c6c51cf14330f59fbdddc14b63dc19ddd8fab48de5a26",
"mainChain": true
},
{
"boxId": "b4ca1a3e1cd914f49d07649bfd28f37eaa3c9f1681504a689c2382a8f02246ea",
"transactionId": "00b91089b8e1ea3dce213339622bddddf2f29e6ef519a1febeb36c8cec04abd6",
"blockId": "22c06829c62ed0997ba31563f6bbfbefc38bb1d23719c3138a4f697bac9cfb1a",
"value": 100000,
"index": 1,
"globalIndex": 40888173,
"creationHeight": 1288855,
"settlementHeight": 1288856,
"ergoTree": "0008cd02cda3826eb9d3b8e073c7898dd0f3336debafcadbdddf00e974245621c83f7e96",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cda382,ca92d8,...)))}",
"address": "9g5dHBfkTetx4R3hMSfQ166yMoKuwpq94fF26aFDwBU9KRFMcEA",
"assets": [
{
"tokenId": "d4d646f2911091bdfd9ac0aa305347fd6d9db6c7e504b62ffb09346064ccc08c",
"index": 0,
"amount": 257000000000,
"name": "ERGF",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "5f884b06600ca88d707c6c51cf14330f59fbdddc14b63dc19ddd8fab48de5a26",
"mainChain": true
},
{
"boxId": "4b40f5bdb62b95a6859a615d3aee3dfd533b67cf23d6e770ce483596c5dee90f",
"transactionId": "00b91089b8e1ea3dce213339622bddddf2f29e6ef519a1febeb36c8cec04abd6",
"blockId": "22c06829c62ed0997ba31563f6bbfbefc38bb1d23719c3138a4f697bac9cfb1a",
"value": 84400000,
"index": 2,
"globalIndex": 40888174,
"creationHeight": 1288855,
"settlementHeight": 1288856,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
"ergoTreeScript": "{\n val opt1 = SELF.R4[Coll[Byte]]\n val coll2 = opt1.get\n val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n val opt4 = SELF.R5[Coll[Long]]\n val opt5 = SELF.R6[Coll[Long]]\n val opt6 = SELF.R7[Coll[Byte]]\n val coll7 = SELF.R8[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1))\n val l9 = coll7(placeholder[Int](2))\n val l10 = coll7(placeholder[Int](3))\n val l11 = CONTEXT.preHeader.timestamp\n val coll12 = opt4.get\n val coll13 = SELF.tokens\n val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n val l15 = box14.R6[Long].get\n val l16 = SELF.value\n val coll17 = Coll[Byte]()\n val coll18 = opt6.get\n val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n val coll20 = tuple19._1\n val i21 = coll20.size\n val bool22 = i21 == placeholder[Int](6)\n val box23 = INPUTS(placeholder[Int](7))\n val coll24 = box23.id\n val coll25 = SELF.id\n val bool26 = coll24 == coll25\n val i27 = placeholder[Int](8)\n val i28 = placeholder[Int](9)\n val i29 = if (bool26) { i27 } else { i28 }\n val i30 = i29 + placeholder[Int](10)\n val box31 = OUTPUTS.getOrElse(i30, SELF)\n val tuple32 = \n val l32 = box31.value\n val tuple33 = (coll17, l32)\n tuple33\n \n val tuple33 = \n val coll33 = box31.tokens\n val tuple34 = (coll20, placeholder[Long](11))\n val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n tuple35\n \n val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n val l35 = tuple34._2\n val coll36 = opt5.get\n val l37 = coll36(placeholder[Int](13))\n val i38 = i29 + placeholder[Int](14)\n val box39 = OUTPUTS.getOrElse(i38, SELF)\n val tuple40 = \n val l40 = box39.value\n val tuple41 = (coll17, l40)\n tuple41\n \n val tuple41 = \n val coll41 = box39.tokens\n val tuple42 = (coll20, placeholder[Long](15))\n val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n tuple43\n \n val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n val l43 = tuple42._2\n val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n val coll45 = box14.R4[Coll[Int]].get\n val coll46 = tuple42._1\n proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n l9, l10, l8 + placeholder[Long](21)\n )\n )\n ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n val box47 = OUTPUTS(placeholder[Int](24))\n allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n )} else {(\n val box47 = box23\n val coll48 = coll24\n val coll49 = coll25\n val bool50 = bool26\n val i51 = i27\n val i52 = i28\n val i53 = i29\n val box54 = OUTPUTS.getOrElse(i53, SELF)\n val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n val l56 = tuple55._2\n val coll57 = coll20\n val i58 = i21\n val bool59 = bool22\n val i60 = i30\n val box61 = box31\n val tuple62 = tuple32\n val tuple63 = tuple33\n val tuple64 = tuple34\n val l65 = tuple19._2\n val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n val i70 = i38\n val box71 = box39\n val tuple72 = tuple40\n val tuple73 = tuple41\n val tuple74 = tuple42\n val coll75 = box61.propositionBytes\n val l76 = l9 + l56\n val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n val l78 = l35\n l65 - l78 - l15 * placeholder[Long](35)\n )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n val coll78 = coll46\n val l79 = l43\n ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n )} } else { placeholder[Boolean](44) }) && sigmaProp(\n (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n )\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 2724607455591,
"name": "ERGF",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[0,100000000000000000]"
},
"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[2704851,6470936000000]"
},
"R8": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1634477,3910232415931,13]"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "d7506719b1635ac5c06914283ff87a354a5b0cba408926f9daa296d521c97312"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d"
}
},
"spentTransactionId": "9a17a5f3380824fe99d7c835b637a390c9fece52946797f73a2860ae2b4d1501",
"mainChain": true
},
{
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"value": 48800000,
"index": 3,
"globalIndex": 40888175,
"creationHeight": 1288855,
"settlementHeight": 1288856,
"ergoTree": "0008cd02cda3826eb9d3b8e073c7898dd0f3336debafcadbdddf00e974245621c83f7e96",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cda382,ca92d8,...)))}",
"address": "9g5dHBfkTetx4R3hMSfQ166yMoKuwpq94fF26aFDwBU9KRFMcEA",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "1102008080d0d88bdea2e302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,100000000000000000]"
},
"R6": {
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"sigmaType": "Coll[SLong]",
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"R8": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[257000000000,108968,1]"
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"R7": {
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
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"mainChain": true
},
{
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"index": 4,
"globalIndex": 40888176,
"creationHeight": 1288855,
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"ergoTree": "0008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(55d75e,4689be,...)))}",
"address": "9eZRZN2bjcNrFYX4nUU6pkTZzTMdJPP3FWPk7sbFo51CaC8iDua",
"assets": [
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"index": 0,
"amount": 2606890191,
"name": "ERGF",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {},
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{
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"index": 5,
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"ergoTree": "0008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(55d75e,4689be,...)))}",
"address": "9eZRZN2bjcNrFYX4nUU6pkTZzTMdJPP3FWPk7sbFo51CaC8iDua",
"assets": [
{
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"index": 0,
"amount": 1089,
"name": "SigUSDF",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
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{
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"value": 2000000,
"index": 6,
"globalIndex": 40888178,
"creationHeight": 1288855,
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"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)}",
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"additionalRegisters": {},
"spentTransactionId": "d4c6501be630543d500a235b7fe3f1b65dbbb0d9fcb8ee835cccbc7d4deac5ba",
"mainChain": true
}
],
"size": 1952,
"isUnconfirmed": false
}