Transaction
ID: 2b85f7269d...190d
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
19.53 ERG
Tokens:
Loading assets...
Outputs (15)
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...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.023754934 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
19.48 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 821,166
Total coins transferred: 19.54 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000201 ERG
Raw Transaction Data
{
"id": "2b85f7269d96fe0c8c34d6b0477eb1c7e88510b615b06e2498bd6698e875190d",
"blockId": "878b273cbce1f3b92b1b1e7a27ecd77cd9561a8b717280bbf1e71eebc69178bf",
"inclusionHeight": 948279,
"timestamp": 1677362070833,
"index": 14,
"globalIndex": 4817867,
"numConfirmations": 821166,
"inputs": [
{
"boxId": "d2fda906369684b1d6538326b7fc655f1521c18cf033007f461062bbe15de008",
"value": 11000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "410dda50469beaa7908e7f31229595faf3ce52949330e147909fcbcb36133f18",
"outputTransactionId": "b35dfd722a9e7cdcb470a54e583c31219601ea6865f80d95b8ef5692587421b7",
"outputIndex": 0,
"outputGlobalIndex": 26905343,
"outputCreatedAt": 948053,
"outputSettledAt": 948057,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(10,-76,-39,-12,-34,6,-68,-85,-55,71,58,10,41,-35,11,-97,40,21,-110,38,-16,-85,-71,-43,-61,93,79,119,-58,-104,3,-31)\n3: 1\n4: 0\n5: Coll(-8,51,-9,86,-31,-65,-99,21,-72,-7,-124,-82,-6,100,72,32,64,-42,-56,-77,-20,33,123,43,-24,-72,-92,119,-24,45,-112,13)\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": "21oSXpSmAC6qWRafUZuukJvGaH5cWHsyZd4TyLmPq3rC5PDEEdMmk9Tn7iyYG4omoiPcwLqaHPTczj5EADDMEK8M2hX5ESrUQZ2E7V3Ca2yxRQ3RiyoGFN348Rrkp6MY5ExjdEPj9Tv6ygeRjcDTjwXGufdj51AKbFn8Jtx9jHCAR5vEpFFiJtV1FWCbc1tfVzgXojGkrBQjrazCsYaKm1Ed2zsC97He6RV5bPDLYMp4o9m6HDSXS3Ea9weh7PBWeLzUttV54AfGtAS3RQ7Wc2DvdRZYju1Kz7ZxiQEYmeSDzrrh3g6atG2RnbRXCJQrA3xFuSkc4ERCMcWojzy2YWrZcCQJC6SpXhnzQ8wJphWEutgtqo",
"assets": [
{
"tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
"index": 0,
"amount": 10,
"name": "Cardano-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0a20005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168209dc9311055af1547a6739d7cdd5e17b75aa7338e8990f41fff40bbbe0d64444620f9f75e886f9f88a3ba0809ae60accd3de67ab0ce5ba3436524c5bf666dd3b1dc20294bbe6ae9df2b402d93536ef7b741e0ccc7527f7d51a09ee50606b30491388f200b5fe301668c691ba7310038a612e01b717f20062dd19c1a4552edb7b0037ce12077e739069bedab7311ba06ad9fbd0c52fb5a09d9ffa21a31deca925b09773fbe20eddfa367686cacef732e2bda97ff2357fc8177997a89d94b1aa0b7e7a68fb23b208abfa5881954da4848d720847f3b4f1577682cf5738827388bf418f2487f485220484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029209f3c93a1d23a8f9e7724c30d81bd3b8ba69f20c89753699a994b82bf6ae26925",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168,9dc9311055af1547a6739d7cdd5e17b75aa7338e8990f41fff40bbbe0d644446,f9f75e886f9f88a3ba0809ae60accd3de67ab0ce5ba3436524c5bf666dd3b1dc,294bbe6ae9df2b402d93536ef7b741e0ccc7527f7d51a09ee50606b30491388f,0b5fe301668c691ba7310038a612e01b717f20062dd19c1a4552edb7b0037ce1,77e739069bedab7311ba06ad9fbd0c52fb5a09d9ffa21a31deca925b09773fbe,eddfa367686cacef732e2bda97ff2357fc8177997a89d94b1aa0b7e7a68fb23b,8abfa5881954da4848d720847f3b4f1577682cf5738827388bf418f2487f4852,484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029,9f3c93a1d23a8f9e7724c30d81bd3b8ba69f20c89753699a994b82bf6ae26925]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[37326364613837663934333665613066333763333265613437643331323230366463646362373335656265323538373432366135623131643733386235303131,63617264616e6f,6572676f,616464723171796470643565676472766671396836613071736837356e7373746d766b617a3061646a766d64363837636735796a77676e6866643373636d6a616d32783666336b7075746367743470357168353973336b777761366564786a7873346873376878,39677864333139696d5336444b6f66377a4a3164525269424d5973745359367a50484e506f534c364a74694c7a6b3154574d33,000000000352c0b6,0000000001c9c380,00000000001e8480,617373657431703430723065756e32616c737a6c78686a376b3475796c796134636a35346c786b6a6a6d736d,657267,37376433383462316530383062346564343132363338313035623337383637616632373766313266356663303062356665636631393438356130663739323962,000000000080da8f]"
},
"R6": {
"serializedValue": "0e20203ace1f2606730afc938bf9a38d991bae1f99bc84a7ef66e850d66005a9d921",
"sigmaType": "Coll[SByte]",
"renderedValue": "203ace1f2606730afc938bf9a38d991bae1f99bc84a7ef66e850d66005a9d921"
}
}
},
{
"boxId": "f8d801bd6cda879f540eb8c849abc8c2ecf41454c2eeaaece716a79242e0df25",
"value": 19526659052,
"index": 1,
"spendingProof": "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",
"outputBlockId": "b4b7db4f9e56c78e2bc9ba1bc94af7f7002899efb89a828b83d2b5be260368fa",
"outputTransactionId": "8d7b12acdbeece12ce86850acbfc598fa7691240f4cf4e1afe60e11b82531e87",
"outputIndex": 12,
"outputGlobalIndex": 26918434,
"outputCreatedAt": 948257,
"outputSettledAt": 948273,
"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": 82694,
"name": "Rosen Test Wrap Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fc6c2070eb004fc08fcde1514dee56b1d0587477748d8af647179b098f52f559",
"index": 1,
"amount": 1067867336,
"name": "RsADA",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 2,
"amount": 1080470,
"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": "96f692c53a0c7f315dd2e0732bb84d873ca0320a2f88f54c20debbb219c3daa6",
"transactionId": "2b85f7269d96fe0c8c34d6b0477eb1c7e88510b615b06e2498bd6698e875190d",
"blockId": "878b273cbce1f3b92b1b1e7a27ecd77cd9561a8b717280bbf1e71eebc69178bf",
"value": 300000,
"index": 0,
"globalIndex": 26918894,
"creationHeight": 948273,
"settlementHeight": 948279,
"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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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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"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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{
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"transactionId": "2b85f7269d96fe0c8c34d6b0477eb1c7e88510b615b06e2498bd6698e875190d",
"blockId": "878b273cbce1f3b92b1b1e7a27ecd77cd9561a8b717280bbf1e71eebc69178bf",
"value": 23754934,
"index": 12,
"globalIndex": 26918906,
"creationHeight": 948273,
"settlementHeight": 948279,
"ergoTree": "0008cd03416e4de20b0e4d0744e515a2ed5538d4748c5273c76b90658db0fec1fe042b80",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(416e4d,801982,...)))}",
"address": "9gxd319imS6DKof7zJ1dRRiBMYstSY6zPHNPoSL6JtiLzk1TWM3",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "ae1d93d31c1693c261e67c291202e92537480f01fb66240bd43ea2b3d7b9868e",
"mainChain": true
},
{
"boxId": "da09ee6f41865f4842b08eab19b31d03b57ceea02a4ead43f83dd7a9111937d4",
"transactionId": "2b85f7269d96fe0c8c34d6b0477eb1c7e88510b615b06e2498bd6698e875190d",
"blockId": "878b273cbce1f3b92b1b1e7a27ecd77cd9561a8b717280bbf1e71eebc69178bf",
"value": 19480804118,
"index": 13,
"globalIndex": 26918907,
"creationHeight": 948273,
"settlementHeight": 948279,
"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": 82694,
"name": "Rosen Test Wrap Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fc6c2070eb004fc08fcde1514dee56b1d0587477748d8af647179b098f52f559",
"index": 1,
"amount": 1067867336,
"name": "RsADA",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 2,
"amount": 1077470,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4c07d47463ee61b4b5c592ca62770c62b1ca51a46ba8cc187cbb2bf1c8ca5234",
"mainChain": true
},
{
"boxId": "ae6517115993e0ca74a09ede85fcf42d07dafdeb261c6243dd89e8f69cfd83d0",
"transactionId": "2b85f7269d96fe0c8c34d6b0477eb1c7e88510b615b06e2498bd6698e875190d",
"blockId": "878b273cbce1f3b92b1b1e7a27ecd77cd9561a8b717280bbf1e71eebc69178bf",
"value": 1100000,
"index": 14,
"globalIndex": 26918908,
"creationHeight": 948273,
"settlementHeight": 948279,
"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": "4aebceea6399aee18d69a1a1e15c9e4ff8c59d7eb48818e216bbccbcd25d4692",
"mainChain": true
}
],
"size": 5485,
"isUnconfirmed": false
}