Transaction
ID: fad38d3b9c...ef82
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
6.5 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4.32 ERG
Tokens:
Loading assets...
Outputs (10)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.046 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.103 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.3 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.38 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.064 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.129 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.78 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 1,009,169
Total coins transferred: 10.82 ERG
Fees: 0.015 ERG
Fees per byte: 0.000005641 ERG
Raw Transaction Data
{
"id": "fad38d3b9c51cc59643efb8e4e7acc2a721396f42d385680ab621d1357e9ef82",
"blockId": "ac5aa72d97a50f839f4566b99cadb771956a8c7436450ea93a289998d44a5928",
"inclusionHeight": 768236,
"timestamp": 1654772611839,
"index": 1,
"globalIndex": 3328465,
"numConfirmations": 1009169,
"inputs": [
{
"boxId": "c948c35a64a8cbd660876dd65a2d02d663d9fd7db7dd2b4a624065ce02f32ca9",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "6817bcf31d3ff27fc54ae221e834cc106d568c33902e7f9f5b6f24d5469ee910",
"outputTransactionId": "0c9a042672f5763488c6489fd62172ab51678c76b389b7d14612fc776409530d",
"outputIndex": 0,
"outputGlobalIndex": 17640709,
"outputCreatedAt": 767654,
"outputSettledAt": 767658,
"ergoTree": "101404000400040204020100010004020100040204000400050204020404040404000400010001000101d806d601c6a70611d602c6a7071ad60396830501e6c6a7040c3c0e11e6c6a7050c4c0ee67201e6720293b2a4730000a7d604b2a5730100d605b2a4730200d606c672040611957203d1959595ed93c27204c2a795957203aee47202d901070e937207c2b2a4730300730496830401e6c67205040c3c0e11e6c67205050c4c0ee6c672050611e6c67205071a730596830601e6c67204040c3c0e11e6c67204050c4c0ee6c672040611e6c67204071a93c17204c1a793b1db6308720473067307d803d607e47206d608e47201d609b27207730800ededed93b272077309009ab27208730a00730bed9072097ea305917209b27208730c0093b27207730d00b27208730e00938cb2db6308a7730f00018cb2db630872047310000173119683040193e4c67204040c3c0e11e4c67205040c3c0e1193e4c67204050c4c0ee4c67205050c4c0e93e47206e4c67205061193e4c67204071ae4c67205071a7312d17313",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: false\n5: false\n6: 1\n7: false\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 2\n14: 2\n15: 0\n16: 0\n17: false\n18: false\n19: true",
"ergoTreeScript": "{\n val opt1 = SELF.R6[Coll[Long]]\n val opt2 = SELF.R7[Coll[Coll[Byte]]]\n val bool3 = allOf(\n Coll[Boolean](\n SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n placeholder[Int](0)\n ) == SELF\n )\n )\n val box4 = OUTPUTS(placeholder[Int](1))\n val box5 = INPUTS(placeholder[Int](2))\n val opt6 = box4.R6[Coll[Long]]\n if (bool3) {\n sigmaProp(\n if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n } else { placeholder[Boolean](4) }) {\n allOf(\n Coll[Boolean](\n box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n Coll[Coll[Byte]]\n ].isDefined\n )\n )\n } else { placeholder[Boolean](5) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n Coll[Coll[Byte]]\n ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n )\n )\n } else { placeholder[Boolean](7) }) {(\n val coll7 = opt6.get\n val coll8 = opt1.get\n val l9 = coll7(placeholder[Int](8))\n (\n (\n (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n )} else { placeholder[Boolean](17) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n Coll[(Coll[Byte], Int)]\n ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](18) }\n )\n } else { sigmaProp(placeholder[Boolean](19)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "3d87a6c89801af3866dcdfc318b803ca09332799870f08f12e105865d537e502",
"index": 0,
"amount": 1,
"name": "COMET Smart Pool",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0c3c0e1107240008cd03f07e7cd9bf1a32769f21288637d0531e44f0ea2ac56bf3a3eb1003ead5f86b0405a80680c8afa02580b489130200240008cd037d7d6faee72c44b6abb68b9385bea57132904dbdac81084ef20dcd22fb095c1005de3c8088debe0180dbfbb9010200240008cd02102592b5079ee121dd69ef6fb751a5590c7c07f9aac9d6b9af569a2bb56e800205b0a60580a0be81950180ecd1a6100200240008cd02029b60fbb487bdf358a513698f673c3a7b6cc187df6151e10e763a9b48c8444c05884380dac409000200240008cd025e567d0bd7433128d754c6d055917592f56f5c225d72378e02cc7c4607ca689205caba0480c8afa02580b9dbdb0d0200240008cd02fd76fd3c97e47dca7b639b908896c40c06fb0f6e0d049d94bb0109a377ccfffc05d25b80dac409000200240008cd038d998ba43acbe75a9e5d08d84dab9b1b68ea25b35eef96b388934387e254822c05e81680c8afa0258091cf450200",
"sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
"renderedValue": "[[0008cd03f07e7cd9bf1a32769f21288637d0531e44f0ea2ac56bf3a3eb1003ead5f86b04,[404,5000000000,20000000,1,0]],[0008cd037d7d6faee72c44b6abb68b9385bea57132904dbdac81084ef20dcd22fb095c10,[3887,200000000,195000000,1,0]],[0008cd02102592b5079ee121dd69ef6fb751a5590c7c07f9aac9d6b9af569a2bb56e8002,[43416,20000000000,2188000000,1,0]],[0008cd02029b60fbb487bdf358a513698f673c3a7b6cc187df6151e10e763a9b48c8444c,[4292,10000000,0,1,0]],[0008cd025e567d0bd7433128d754c6d055917592f56f5c225d72378e02cc7c4607ca6892,[36517,5000000000,1841000000,1,0]],[0008cd02fd76fd3c97e47dca7b639b908896c40c06fb0f6e0d049d94bb0109a377ccfffc,[5865,10000000,0,1,0]],[0008cd038d998ba43acbe75a9e5d08d84dab9b1b68ea25b35eef96b388934387e254822c,[1460,5000000000,73000000,1,0]]]"
},
"R5": {
"serializedValue": "0c4c0e02240008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573d00f240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027a01f",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573,1000],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,2000]]"
},
"R6": {
"serializedValue": "110502ccda5da6dd5c0a00",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,767654,759635,5,0]"
},
"R7": {
"serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
}
}
},
{
"boxId": "467cdb4ba581a7ed4784839c08c2206116917c7008216952f41183de038c96ad",
"value": 5000000,
"index": 1,
"spendingProof": "3d7ece08240ef129a2ba5f76992e487e59b04d1b34088824ba226a9c6b9050b0cd4a32819e8f4801b7a9c59894f326b1da7e0f219ead2958",
"outputBlockId": "92d7a5e1a040a4df90daafc4ade96e2126c19c2803ded68b55d1c307cd391f0c",
"outputTransactionId": "e01f0a61978d5b54459f85e9924a9f787938b43f62b98623e3c0b05d9452c8e3",
"outputIndex": 5,
"outputGlobalIndex": 17669367,
"outputCreatedAt": 768233,
"outputSettledAt": 768235,
"ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
"address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
"renderedValue": "[[0008cd03f07e7cd9bf1a32769f21288637d0531e44f0ea2ac56bf3a3eb1003ead5f86b04,[0,5000000000,20000000,0,0]],[0008cd037d7d6faee72c44b6abb68b9385bea57132904dbdac81084ef20dcd22fb095c10,[0,200000000,195000000,0,0]],[0008cd02102592b5079ee121dd69ef6fb751a5590c7c07f9aac9d6b9af569a2bb56e8002,[53210,1000000000,0,2,0]],[0008cd02029b60fbb487bdf358a513698f673c3a7b6cc187df6151e10e763a9b48c8444c,[4603,10000000,0,2,0]],[0008cd025e567d0bd7433128d754c6d055917592f56f5c225d72378e02cc7c4607ca6892,[39643,5000000000,2729000000,2,0]],[0008cd039a7e026693daa119d1d14a1bb3f16e1bd3bbe2677131ee7810f6232e079cff21,[123290,50000000000,2761000000,1,0]],[0008cd02fd76fd3c97e47dca7b639b908896c40c06fb0f6e0d049d94bb0109a377ccfffc,[0,10000000,0,0,0]],[0008cd030098dd63a0f17488498949b2bb808b96a6bf3eee7f6fd3a0721169705ad6c85e,[2070,10000000,0,1,0]],[0008cd035a31927d08a70de0992e9046968449318d9c66af48a2dbe2ad14daee44ab0802,[58231,500000000,0,1,0]],[0008cd038d998ba43acbe75a9e5d08d84dab9b1b68ea25b35eef96b388934387e254822c,[0,5000000000,73000000,0,0]]]"
},
"R5": {
"serializedValue": "0c4c0e02240008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573d00f240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027a01f",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573,1000],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,2000]]"
},
"R6": {
"serializedValue": "110504d2e35da6dd5c0a00",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,768233,759635,5,0]"
},
"R7": {
"serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
}
}
},
{
"boxId": "8c2e29ceee3b353eaee0aa21d05b98799a627b7a17f7e312aea1f5c7e3580145",
"value": 6499000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "af25bb1797b862f91b25b47facdcdd67cb230cdb904522bcf501919d03051272",
"outputTransactionId": "3cca945b16245c4d8fa8ee575982f1bf7a3d0f59770305f1fc63db14d7952e25",
"outputIndex": 6,
"outputGlobalIndex": 17668941,
"outputCreatedAt": 768226,
"outputSettledAt": 768228,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
"address": "277xcwgMLFPCeLF8yY3gQfJyxanZbB4H74CAJx8Cb2bwBd4UJ2WBvALUmMkW8R9uciUrHvm8TtSK3UGRfWnxMG1jScBSbPkGfLv5cujvTbZtgh2o9g8B4MK8SNgbJvSXgzRsWsbx7kfzqdvsUVEy7WMhKRWLzhcsRoA7cP6f263V23NNX4P1nLM3KK5XKgRfvkNEvwCrXHXtN225THRsTp6s4ErWiQPpMNz9NJ5Kz9urVeKide3oe4HjD52J7C6tBrKLkmvyS1nqxnsgTmbP9w9QV6AqV8Bi6f25TN3hpxEMBZKWiXTFWAtqDvx3zvcQKYWekXtExXyUoQ4FdYyTvZEkKSF94E4pm9ttG9PqroMBqRk6nURqBuCsFqnQntRz3XEgQdpEGW2qR91VPECxFXLvRSRi4PZ3mCzq1fJaJuycSByGiFLVy1Aqasd5wk47TGEuSmmZQCXiQw2ZYbHadPEZVoT4yazKv7CCzLB7TjSj6Wuzjn6XRwQaH4oncQq3RgE6GfPckAtD9zy5QBkPmwTDJSyahXfagXrsnLm8gGyomq8RNcutDJs1bFmNn4HwHBGcTp761HmK8h7FX4wShQ59Sy18zEzPdrv9Kuoz6tPJJw2WgHC5kU2aor4P6tejEmScy6gssXKUrV4paUz8RMQsPXRnCposTRCWUuYYjxLJSxPE68TYPRLnPRCEyfSDXxQDWpo44ohnwuv7Tc85dP36ccJPNCD4ba9qGwpfaa2jayKHzbng4Mcw5Knp7WnGugMP8nzcnoCDoZGZBvEKMCEVDWXrNkrjpPo8tUzRXVof4ybgND1x4jxcaPPHXyGgzq9kfqAiQdtkkmMcV6Mn3ATggcAWbYvhfpvh1XAidMjJC15uG4wwtaBB7QaXCVPJQefBah4QcCX2SPqFyw8VrVArfBGigQADiE5kUhCt9ug4Kkiaxj6USktwVz74nDTABwVjDEpLyxxc4UAEpiEm6tJNbs83x4rWxPjkLMyGpQKsSNYXQD6pgrn9g6ytsd9n1bfzotkuT26nyDRzv5R5g2u99767H5cjegn7SmfMyPd69YeSm7nnt1tvUQDGgtwS5PzHj3dH5xr8sg4AtvZNv2LKvdL6j8QKxfSjW7YqYTbE9MnBMQucAcettDKJjmACMsAg8TPxfaWButL74y5ZzuTjgcnGZmJGdNjzZT3ye6UfYKLn5xuKbsBsaPrw3w19tzgkY7FSYK6Wc2FefzWbnvT2Aw7y",
"assets": [
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 32498,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "2c68eb41a2167d42a2aef0091de91b572c481068b9d4cf21fce74d5fee18129f",
"value": 4317000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "6817bcf31d3ff27fc54ae221e834cc106d568c33902e7f9f5b6f24d5469ee910",
"outputTransactionId": "0c9a042672f5763488c6489fd62172ab51678c76b389b7d14612fc776409530d",
"outputIndex": 4,
"outputGlobalIndex": 17640713,
"outputCreatedAt": 767654,
"outputSettledAt": 767658,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
"address": "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",
"assets": [
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 21887,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "092615f2c2dd07dbbeb609407dfc0fbdea157240086b30c748d96aa6f0ab9f7b",
"transactionId": "fad38d3b9c51cc59643efb8e4e7acc2a721396f42d385680ab621d1357e9ef82",
"blockId": "ac5aa72d97a50f839f4566b99cadb771956a8c7436450ea93a289998d44a5928",
"value": 1000000,
"index": 0,
"globalIndex": 17669425,
"creationHeight": 768233,
"settlementHeight": 768236,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: false\n5: false\n6: 1\n7: false\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 2\n14: 2\n15: 0\n16: 0\n17: false\n18: false\n19: true",
"ergoTreeScript": "{\n val opt1 = SELF.R6[Coll[Long]]\n val opt2 = SELF.R7[Coll[Coll[Byte]]]\n val bool3 = allOf(\n Coll[Boolean](\n SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n placeholder[Int](0)\n ) == SELF\n )\n )\n val box4 = OUTPUTS(placeholder[Int](1))\n val box5 = INPUTS(placeholder[Int](2))\n val opt6 = box4.R6[Coll[Long]]\n if (bool3) {\n sigmaProp(\n if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n } else { placeholder[Boolean](4) }) {\n allOf(\n Coll[Boolean](\n box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n Coll[Coll[Byte]]\n ].isDefined\n )\n )\n } else { placeholder[Boolean](5) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n Coll[Coll[Byte]]\n ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n )\n )\n } else { placeholder[Boolean](7) }) {(\n val coll7 = opt6.get\n val coll8 = opt1.get\n val l9 = coll7(placeholder[Int](8))\n (\n (\n (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n )} else { placeholder[Boolean](17) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n Coll[(Coll[Byte], Int)]\n ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](18) }\n )\n } else { sigmaProp(placeholder[Boolean](19)) }\n}",
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"assets": [
{
"tokenId": "3d87a6c89801af3866dcdfc318b803ca09332799870f08f12e105865d537e502",
"index": 0,
"amount": 1,
"name": "COMET Smart Pool",
"decimals": 0,
"type": "EIP-004"
}
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"sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
"renderedValue": "[[0008cd03f07e7cd9bf1a32769f21288637d0531e44f0ea2ac56bf3a3eb1003ead5f86b04,[0,5000000000,20000000,0,0]],[0008cd037d7d6faee72c44b6abb68b9385bea57132904dbdac81084ef20dcd22fb095c10,[0,200000000,195000000,0,0]],[0008cd02102592b5079ee121dd69ef6fb751a5590c7c07f9aac9d6b9af569a2bb56e8002,[53210,1000000000,0,2,0]],[0008cd02029b60fbb487bdf358a513698f673c3a7b6cc187df6151e10e763a9b48c8444c,[4603,10000000,0,2,0]],[0008cd025e567d0bd7433128d754c6d055917592f56f5c225d72378e02cc7c4607ca6892,[39643,5000000000,2729000000,2,0]],[0008cd039a7e026693daa119d1d14a1bb3f16e1bd3bbe2677131ee7810f6232e079cff21,[123290,50000000000,2761000000,1,0]],[0008cd02fd76fd3c97e47dca7b639b908896c40c06fb0f6e0d049d94bb0109a377ccfffc,[0,10000000,0,0,0]],[0008cd030098dd63a0f17488498949b2bb808b96a6bf3eee7f6fd3a0721169705ad6c85e,[2070,10000000,0,1,0]],[0008cd035a31927d08a70de0992e9046968449318d9c66af48a2dbe2ad14daee44ab0802,[58231,500000000,0,1,0]],[0008cd038d998ba43acbe75a9e5d08d84dab9b1b68ea25b35eef96b388934387e254822c,[0,5000000000,73000000,0,0]]]"
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"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573,1000],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,2000]]"
},
"R6": {
"serializedValue": "110504d2e35da6dd5c0a00",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2,768233,759635,5,0]"
},
"R7": {
"serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
}
},
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"mainChain": true
},
{
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"value": 46000000,
"index": 1,
"globalIndex": 17669426,
"creationHeight": 768233,
"settlementHeight": 768236,
"ergoTree": "0008cd030098dd63a0f17488498949b2bb808b96a6bf3eee7f6fd3a0721169705ad6c85e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(98dd63,f80c63,...)))}",
"address": "9gU4winjrhWDdgQHMckx597EouFnY1AxmaupFdXBgPUwimik8yr",
"assets": [
{
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"type": "EIP-004"
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"mainChain": true
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{
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"ergoTree": "0008cd02029b60fbb487bdf358a513698f673c3a7b6cc187df6151e10e763a9b48c8444c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(29b60f,b79f34,...)))}",
"address": "9eYD76w1zCQCMPbqtFpd8NuHpZAV9VuzDtpzMn4v2HEZEv2pZqP",
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{
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{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5a3192,9a77c4,...)))}",
"address": "9h9XZqVYw22dWMV34VZaNPKbqywKrwEAv9nJ7fNu9uehsRJcJk3",
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{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(102592,318e23,...)))}",
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"ergoTree": "10360400040004000e203d87a6c89801af3866dcdfc318b803ca09332799870f08f12e105865d537e50204020500040404020500040405c09a0c0580897a040404020500040404000580897a050004000580897a040004020400040404010404040104000500040005010100010004010401040005000400050101000100040105000400040101000101050004000501050001010100d803d601b2a4730000d602c2a7d6037301d195938cb2db63087201730200017303d807d604e4c6b2a4730400040c3c0e11d605e4c67201040c3c0e11d60699b0b5a4d901066393c2720672027305d9010641639a8c720601c18c720602b0b57205d901063c0e11d801d6088c7206028fb27208730600b272087307007308d90106413c0e119a8c720601b28c8c72060202730900d607ade4c67201050c4c0ed901074c0ed801d6099d9c7e8c720702057206730a86028c7207019972099e7209730bd608ada5d9010863c27208d609ada5d9010963c17209d60ab0b57204d9010a3c0e11d801d60c8c720a028fb2720c730c00b2720c730d00730ed9010a413c0e119a8c720a01b28c8c720a0202730f00ededaf7204d9010b3c0e11d807d60d8c720b01d60edc0c1aad7205d9010e3c0e118c720e0102720d7310d60f8c720b02d610dad9011005d801d6129d9c99b072077206d90112414d0e998c7212018c8c721202029c73117eb17204057210b072047312d90112413c0e119a8c721201b28c8c721202027313009972129e7212731401b2720f731500d611b2720f731600d612dc0c1a720802720d7317d613b2720f7318009594720e7319d801d6149ab2b2ad7205d901143c0e118c721402720e00731a00721095927214721195947212731bd801d615db6308b2a57212009591b17215731c9683030193b272097212007214937213731d92b2ad7215d901164d0e8c721602731e01731f7e72030573207321ed93721273229372137214959272107211959472127323d801d614db6308b2a57212009591b1721473249683030193b272097212007210937213732592b2ad7214d901154d0e8c72150273260173277e72030573287329ed937212732a9372137210af7207d9010b4d0ed801d60d8c720b029591720d732bd801d60edc0c1a7208028c720b01732c9594720e732d93c1b2a5720e00720d732e732f9591720a7330aea5d9010b63eded93c1720b720a93c2720b720292b2addb6308720bd9010d4d0e8c720d027331017332733373347335",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
"address": "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",
"assets": [
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 30219,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "d7ca1243a53ce302ad8e8cd7b3aa19053b6299b61e6224121264610cc05d0c79",
"mainChain": true
},
{
"boxId": "66b8b26de2114b9c4386ce01ec9e726fd350a9755acff9c237964fcda0e1e53a",
"transactionId": "fad38d3b9c51cc59643efb8e4e7acc2a721396f42d385680ab621d1357e9ef82",
"blockId": "ac5aa72d97a50f839f4566b99cadb771956a8c7436450ea93a289998d44a5928",
"value": 15000000,
"index": 8,
"globalIndex": 17669433,
"creationHeight": 768233,
"settlementHeight": 768236,
"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": "ebc1b1ce9a37607c2c812e0e43dc7fa74757a4a00b5331fdf23bff58bd8cc0ce",
"mainChain": true
},
{
"boxId": "93584dd7927df8f0ba82c56846968723826d92e2be5a3b251e3f889fab68a639",
"transactionId": "fad38d3b9c51cc59643efb8e4e7acc2a721396f42d385680ab621d1357e9ef82",
"blockId": "ac5aa72d97a50f839f4566b99cadb771956a8c7436450ea93a289998d44a5928",
"value": 2000000,
"index": 9,
"globalIndex": 17669434,
"creationHeight": 768233,
"settlementHeight": 768236,
"ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
"address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c1d5326366de389bb08f791115dc40f68fc8dd2361dd7c77347275ecc6e7ce4d",
"mainChain": true
}
],
"size": 2659,
"isUnconfirmed": false
}