Transaction
ID: bf90021bf5...4d44
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
69.04 ERG
Tokens:
Loading assets...
Outputs (13)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
69.05 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 807,623
Total coins transferred: 69.05 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000218 ERG
Raw Transaction Data
{
"id": "bf90021bf52cd68f4081c42b9dba44ce7de59d6784a7c3533e65416561384d44",
"blockId": "ca42b4a984e4a161154522e932e1caa296daf2c0b4ea24644bd4dfd99e08e292",
"inclusionHeight": 961269,
"timestamp": 1678932605836,
"index": 5,
"globalIndex": 4904884,
"numConfirmations": 807623,
"inputs": [
{
"boxId": "00d50705b6f5887e3471d4436d6f6a406fb96f958d687a71bfa12ba224ce552c",
"value": 9900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "6be6bb6104d6be82f26f9f2186d771ef7a001b2300252cd44585fef481450b43",
"outputTransactionId": "db55cfe2b0dc20ebf4ab5cf953a878208cbde55a40848c72bc17344eb68180c4",
"outputIndex": 0,
"outputGlobalIndex": 27428947,
"outputCreatedAt": 961081,
"outputSettledAt": 961083,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-73,-16,-100,27,10,-105,77,102,-103,-87,89,58,40,104,8,-83,18,116,-113,-88,2,90,-71,-83,-53,36,55,94,3,-107,-8,21)\n3: 1\n4: 0\n5: Coll(55,8,14,-89,-110,92,64,121,101,-14,112,19,-2,102,-46,-25,-42,-110,-26,-115,-64,-34,-110,25,-17,-2,72,25,-50,-88,-57,-77)\n6: 7200\n7: Coll(106,26,12,-10,30,-60,20,-119,22,40,30,109,-126,-95,-47,122,96,-18,-41,-124,82,0,64,29,82,49,55,127,70,67,-70,103)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)\n }), if (coll5 == placeholder[Coll[Byte]](2)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5), HEIGHT - placeholder[Int](6) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](7) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "21oSXpSmAC6qp2H72o1YW4D9Dxq3mSkee28gWAFqqd9NRTx15VHM6RwVxScoDnN4jiTegJvto6yK4rZDV788EKrJdoftYXVdQDaeakfgJJhLSfpJcadGZLLwJQkpoRJpesAgY8QfkuyLTkVNbNNshvsA4x3kfvPFDGDQfn8AdN6hJ1FnibRdcj3uY9NQTjjLWNGb1XNdUQyGv73qBJobfaRm9GyXzk9wUq54VhKdcxzTjzuJTtCCv2cxBXKup4EzEEXDNWLcfsD8bNknob5bmUDuTGszsPZHcwAwXgcqsxKvcki7KUs7d666iyu5fNgvFTx8B3D1ageWpAD5RcBbmfiGNEL9k7BnwWiP2pU5DwhJzWH3iU",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 9,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707,d206d6f37bc63fae26fbb591d5d4b60181db35fb712ae6dfa2c5faf0078d66eb,e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c,101f5f0995d90c80a9491815571ed1c9fc5522922fa3bbccbd575d1aa7255f90,ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302,846f72637b75f4817eb3f6e8542cb2d92875cf1ddce0fd5b734fc7c9bb48ac60,c1f5aa4b1a713396a63f556df49c70add93b3471cbca893c6146fce5a4b95e76,730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508,d4e03eda58a338f8f65b40de258407dbdbbd9b8ccca374f66be8d97e52c8a752]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[61663238663137623461393634643537316261666133633036663833313338333638373334643864323562333936363661303562626439613966353566316238,6572676f,63617264616e6f,39677864333139696d5336444b6f66377a4a3164525269424d5973745359367a50484e506f534c364a74694c7a6b3154574d33,616464723171796470643565676472766671396836613071736837356e7373746d766b617a3061646a766d64363837636735796a77676e6866643373636d6a616d32783666336b7075746367743470357168353973336b777761366564786a7873346873376878,000000000037e49a,00000000001e8480,0000000000061a80,66633663323037306562303034666330386663646531353134646565353662316430353837343737373438643861663634373137396230393866353266353539,6c6f76656c616365,31323434326664633234346237653734333033616135333966643835316135613632636239353362306262626230643530393532323137663031636664313235,00000000000ea96f]"
},
"R6": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "75b169a21556de456a57e7ff9f84275061fc473a75b252a630c5514b1bdbc914",
"value": 69040573936,
"index": 1,
"spendingProof": "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",
"outputBlockId": "53837a7c2826df5cd5f7d2a268375ee689b32a38906501745e7be8a7169023d2",
"outputTransactionId": "e61d2deeac066260550cd2e84a1c5f2a59b538a50e9f386c7916a07829c000ee",
"outputIndex": 11,
"outputGlobalIndex": 27440226,
"outputCreatedAt": 961261,
"outputSettledAt": 961268,
"ergoTree": "100304000e20a96b8049f0741c7255b60cf01954439d2e4b2d19ae7d8ebc688ecb190a33b5380400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-87,107,-128,73,-16,116,28,114,85,-74,12,-16,25,84,67,-99,46,75,45,25,-82,125,-114,-68,104,-114,-53,25,10,51,-75,56)\n2: 0",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3LG4ydEj62n9aymRyPCEbkBdzaubgvCWDH2oxHxFBfAUy9GhWDvteDbbUh5qhXxnW8R46qmEiZfkej8gt4kZYvbeobZJADMrWXwFJTsZ17euEcoAp3KDk31Q26okFpgK9SKdi4",
"assets": [
{
"tokenId": "517c91b4ea680166ddd3f67b27b0274c20bbd2aeb82b60eaf5bf5471b37f684a",
"index": 0,
"amount": 49943639,
"name": "Rosen Test Wrap Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fc6c2070eb004fc08fcde1514dee56b1d0587477748d8af647179b098f52f559",
"index": 1,
"amount": 6064800824,
"name": "RsADA",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 2,
"amount": 9492470,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "350bff7491aa9bf828a922fd8f50df0191c6ae586cb077d84b9caef5dd96cfbc",
"value": 1100000,
"index": 0,
"outputBlockId": "a7aeaa064590253e9f07e63a64d86b5d08c9508f9da13ccac29723e98eb7a0d6",
"outputTransactionId": "e3f3794c3bfe63a88a2703a2588bce143bdc40fbd06bbdb469bbfaf00cf4eb35",
"outputIndex": 0,
"ergoTree": "100504000400040004000402d802d601c2a7d602b2a5730000ea02d196830301937201c2b2a473010093c272027201938cb2db63087202730200018cb2db6308a77303000198b2e4c6a70510730400ade4c6a7041ad901030ecdee7203",
"address": "MZ4DGXjbMTDYv4wnEPCSzRGp3infV4oBqQvJhnnePTb61wYrGaS2oiNAbesgJphKS3v5tA3cqaEXUdgRP5EsKBihXwSSogs4RNVhhsYyQiYHoWNo3jB7Fm2DDQSVLJZCf41sd",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[02db3849f655693c28e3c44ededd546c6c3267b6f90c0f9ad9785061c387ca2e69,0249e1b4b331b93481cc812c024f1f8a198fe078895ad7f03ab890bd4e81fb5907,020e106e606e70e426a19900f42f3210420f53498c9956106d30b1837596dbc451,02ddd718f3080a04c2e9f2016dc13153f65d64da83ccfea433139c89236476e2b7,02e2c106d43c57936310f06d4fea9f6940dbf1c4e32cb99bdd7ac7b7714e545271,032bb38046b67ed49aa6f4d255bbe1c098ff2f7b682f9922a2a376862de266b16e,03c3374d06b092583835a3a93c7acbc6c449656881abff5d6b17df456a7f3d618b,02956d0fd87b81ebe8ea4763a64e126a548adef2eec3a9719683944100cb992bc5,02b980e0cbb817f80163485aea9ce59c3d6249d510733002a9fc6843718a540b07,03d7e6475ef5ceb9b0e9b0cad722c9cbfa3a13e8e94188ac963e11e4e66e9eaa2c]"
},
"R5": {
"serializedValue": "10020e10",
"sigmaType": "Coll[SInt]",
"renderedValue": "[7,8]"
}
}
}
],
"outputs": [
{
"boxId": "4842c43347ae17e33c247b63b7ce357caf97e03f7dd59e33a9b92de3c8c93958",
"transactionId": "bf90021bf52cd68f4081c42b9dba44ce7de59d6784a7c3533e65416561384d44",
"blockId": "ca42b4a984e4a161154522e932e1caa296daf2c0b4ea24644bd4dfd99e08e292",
"value": 300000,
"index": 0,
"globalIndex": 27440249,
"creationHeight": 961265,
"settlementHeight": 961269,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302]"
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"index": 0,
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"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c1f5aa4b1a713396a63f556df49c70add93b3471cbca893c6146fce5a4b95e76]"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 666,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508]"
}
},
"spentTransactionId": "7581540b36bcc9e59390ea8e1bb5c07b19688676097bc22f3786f502594a7aa4",
"mainChain": true
},
{
"boxId": "9c4652cfb8fb1a09c448ac3a438a30f2a1416ed0cd9141ae5ecca5c9abdffb2f",
"transactionId": "bf90021bf52cd68f4081c42b9dba44ce7de59d6784a7c3533e65416561384d44",
"blockId": "ca42b4a984e4a161154522e932e1caa296daf2c0b4ea24644bd4dfd99e08e292",
"value": 300000,
"index": 8,
"globalIndex": 27440257,
"creationHeight": 961265,
"settlementHeight": 961269,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 1,
"amount": 666,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d4e03eda58a338f8f65b40de258407dbdbbd9b8ccca374f66be8d97e52c8a752",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d4e03eda58a338f8f65b40de258407dbdbbd9b8ccca374f66be8d97e52c8a752]"
}
},
"spentTransactionId": "1c52663b1abce6d4a8c4e76bfedb03798fa2d220c7a6a1b2c3a580a7e9ca0997",
"mainChain": true
},
{
"boxId": "9e28ddfcdaae0103833532b846d0fe65375eb2e36b980e749a2e38cade8ac0ba",
"transactionId": "bf90021bf52cd68f4081c42b9dba44ce7de59d6784a7c3533e65416561384d44",
"blockId": "ca42b4a984e4a161154522e932e1caa296daf2c0b4ea24644bd4dfd99e08e292",
"value": 300000,
"index": 9,
"globalIndex": 27440258,
"creationHeight": 961265,
"settlementHeight": 961269,
"ergoTree": "0008cd02d0b75bc997751195d143671cc10e8a590f25b987f2b2dd0d99cc5f48c6966d3d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d0b75b,1b1e24,...)))}",
"address": "9g6ytenZVgR3RXYqXUG3vRcXLhmd12VtUKCuecFqL1P18axCErM",
"assets": [
{
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"index": 0,
"amount": 2000000,
"name": "RsADA",
"decimals": 0,
"type": "EIP-004"
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{
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"index": 1,
"amount": 14006,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012091285441357d7f0b7fb04d14db40c3ab3b9efa9de16610f41bcf2644b4bd80b0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[91285441357d7f0b7fb04d14db40c3ab3b9efa9de16610f41bcf2644b4bd80b0]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
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"transactionId": "bf90021bf52cd68f4081c42b9dba44ce7de59d6784a7c3533e65416561384d44",
"blockId": "ca42b4a984e4a161154522e932e1caa296daf2c0b4ea24644bd4dfd99e08e292",
"value": 300000,
"index": 10,
"globalIndex": 27440259,
"creationHeight": 961265,
"settlementHeight": 961269,
"ergoTree": "0008cd03cc76f1074a4477cd378329c4e902ee6145add72e9c26c82b4f2255e768d48811",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cc76f1,d4ffcd,...)))}",
"address": "9i1rTxaZpLprUkVHpY4YNyooksLuouiKqZ2v1J5nf8xFTXBCVcB",
"assets": [
{
"tokenId": "fc6c2070eb004fc08fcde1514dee56b1d0587477748d8af647179b098f52f559",
"index": 0,
"amount": 400000,
"name": "RsADA",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "275675fe2b5286bc7333e1974a96fb1f61600857f40b7f58324a4d8b728f5602",
"transactionId": "bf90021bf52cd68f4081c42b9dba44ce7de59d6784a7c3533e65416561384d44",
"blockId": "ca42b4a984e4a161154522e932e1caa296daf2c0b4ea24644bd4dfd99e08e292",
"value": 69046073936,
"index": 11,
"globalIndex": 27440260,
"creationHeight": 961265,
"settlementHeight": 961269,
"ergoTree": "100304000e20a96b8049f0741c7255b60cf01954439d2e4b2d19ae7d8ebc688ecb190a33b5380400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-87,107,-128,73,-16,116,28,114,85,-74,12,-16,25,84,67,-99,46,75,45,25,-82,125,-114,-68,104,-114,-53,25,10,51,-75,56)\n2: 0",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3LG4ydEj62n9aymRyPCEbkBdzaubgvCWDH2oxHxFBfAUy9GhWDvteDbbUh5qhXxnW8R46qmEiZfkej8gt4kZYvbeobZJADMrWXwFJTsZ17euEcoAp3KDk31Q26okFpgK9SKdi4",
"assets": [
{
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"index": 0,
"amount": 49943639,
"name": "Rosen Test Wrap Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fc6c2070eb004fc08fcde1514dee56b1d0587477748d8af647179b098f52f559",
"index": 1,
"amount": 6062400824,
"name": "RsADA",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 2,
"amount": 9472470,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "f35d7a6d83b62fd5953622458238637e66d110fe44f4dc151f111f91b9959421",
"mainChain": true
},
{
"boxId": "cb184c84089f8ac599eecef5e46d0758bbebf019f1bc6022a4f7ae51823495e9",
"transactionId": "bf90021bf52cd68f4081c42b9dba44ce7de59d6784a7c3533e65416561384d44",
"blockId": "ca42b4a984e4a161154522e932e1caa296daf2c0b4ea24644bd4dfd99e08e292",
"value": 1100000,
"index": 12,
"globalIndex": 27440261,
"creationHeight": 961265,
"settlementHeight": 961269,
"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": "cfbab92783956360d2b265704228bfd9175698c80dc2f4a329ce6b077c2ca7af",
"mainChain": true
}
],
"size": 5045,
"isUnconfirmed": false
}