Transaction
ID: e5f10a7577...1ab8
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
8.94 ERG
Tokens:
Outputs (15)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0023 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.16 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.77 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 680,626
Total coins transferred: 8.95 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000021 ERG
Raw Transaction Data
{
"id": "e5f10a7577572d63d3ca857ad43ed41b97cabdb7be5aaa95a6056754d6531ab8",
"blockId": "2fef16108d106590d234407d92d3c8f77bff68fbd6a70d50f631aaab4ed7ac02",
"inclusionHeight": 1082256,
"timestamp": 1693643147631,
"index": 9,
"globalIndex": 5765803,
"numConfirmations": 680626,
"inputs": [
{
"boxId": "2cad94342afdc2ea4866f59fa71c71451ed5e51f5353083222e6067ef0c57f47",
"value": 11000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "fba711507bbf62540008a16f77c54921a7a9c030b6535e9fada0800a74b5c915",
"outputTransactionId": "c16558288d2148cc7c68b84bba249212b39361925ee50c6f1178374087a5510d",
"outputIndex": 0,
"outputGlobalIndex": 32287576,
"outputCreatedAt": 1082230,
"outputSettledAt": 1082233,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(76,-101,108,101,90,80,34,115,52,-118,-109,108,-71,47,-78,27,91,-107,-127,-31,-92,76,-20,-69,62,-29,119,-118,121,57,-38,-88)\n7: 1\n8: 0\n9: Coll(85,117,50,75,-121,11,-118,5,95,68,-37,27,-50,104,-50,33,-79,-18,-8,102,105,64,82,-9,26,6,-35,105,70,119,91,27)\n10: 7200\n11: Coll(70,36,70,31,-62,-119,64,54,-23,-68,80,103,-65,-15,-28,103,-108,42,-46,-17,42,-11,33,-114,-92,83,108,-75,23,-64,14,43)",
"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)) && (box8.tokens(placeholder[Int](2))._1 == SELF.tokens(placeholder[Int](3))._1)) && (box8.tokens(placeholder[Int](4))._2 == SELF.tokens(placeholder[Int](5))._2 / i2.toLong)\n }), if (coll5 == placeholder[Coll[Byte]](6)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9), HEIGHT - placeholder[Int](10) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](11) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "BRNzuPCshtnBeoxCJ8iQiVa4y4RnVi4LmakNPhL8c7NDpVnUX5zAnVoAPGcQJhTYCTPUPLixP3cXGkuw27T7GtzURCdfGqTggfxNo4UJJmhkM1TcfqqF1EjEm12FTZUBzP2MRfh8RNsV84boTDArm1jnUVmbK72LG9BRtag4JtkSDMmm6KjLACQtVLd6GLxRgC3fGA6ePb62aqorp6Hu5rN3NZzB4gk4oYA96Sm6rpTr4irLY7FvksD6PdGGmEFJCNGAEXS6Hq6GJ3v5QgiqaUXWesi52LN9Jvc1jQYaDV2zNWpgFEmhaauyrySM2spPs7hqyjXKrhBZPwRxfXSP5HTuq6STaywZBfXb9bj8axaadgk1oNmRM9tYghvJsBKoCFiU5JWP4PyZ3qg8ahYMS7dnB7GzdrH9Hz385uMG9DGUrYZHJDxzAUeNK9boZeo5ho",
"assets": [
{
"tokenId": "36afc697123a9ab2b8fcc220c0a8031f5933a06998683a17f931435dbb45f253",
"index": 0,
"amount": 100000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1db8e5a389490f1bcb8e17dfd414d6251d1f3707d38a1361d7a2045764d281fe,23152a40001d97709623d31029acfc5374df08f27fab050b3844b02bc8d0743e,143d16a70d742c065738439cd0b00ae64bc3e1ae2647277f1b746e411f582cba,1cdb34530d8927b5c06d5a7e9f45ac253bc07685200e9df7fddde424288bf71d,0d1661fab46180353cd01b5b88176f278b8609e1cecc2e3f5cc1e2582615ba18,af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5,5121ff1832cfc2e0a05111faf65416318b030d27e9d6a972adddd4da1f017262,7f2ece1fa522a7cea01af48e6b73ef64f2600f92cd0c514c9543c2f17fb58513,3c0a102ee3cd6b5408367928049da15c1cb495b2dabfde36dce92c7931a96080,db6dc2e82fe45bcd43f92386a12df41bef815ef6713267754ff3043e48b3f43e]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[34386661306162306130643833363536373232396331313734333335326465393661326233656334613565326639643135323432373630633531353437326566,63617264616e6f,6572676f,616464723171396e77676c6c6c74376a3030796634307776656163327467746d787879377930366e74757273366c3833776e39673337646a6c6e7a35686d6d6d6b78656e786c386d77716c366839366775377a74706867786a66306e67776866717761646d3764,396763724b6e374c354c6e337252736a466f53456b45736f76556462354a523564366f327648515635464358584e6b6b454144,0000000133e0be44,0000000077359400,00000000001e8480,61737365743132647a63796c6d6579386d7a7166346c7178376c7533746c6e657677727471347675726a3832,657267,31306338386636383661326439383262616135313133346330393864323261323063643661343764306437353263633939383434663330633434363039616331,00000000008ce3f2]"
},
"R6": {
"serializedValue": "0e20137984a29fd08728a3708c475a715d08ebc6e97dd337632342d0d2a7c7dd0d73",
"sigmaType": "Coll[SByte]",
"renderedValue": "137984a29fd08728a3708c475a715d08ebc6e97dd337632342d0d2a7c7dd0d73"
}
}
},
{
"boxId": "91283801a199d760a91cfc86c9210c58d41e7fd159a3b08fc387e431b088d6d9",
"value": 8937328623,
"index": 1,
"spendingProof": "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",
"outputBlockId": "f8d5149e0d37b6e583a2d674ff89cae5d88e6a5196f3b319863f921a16da758e",
"outputTransactionId": "3c1d09581a406767ce02947a63e7cf2a5f9146acbc1fbe456952f17d3f54e2f0",
"outputIndex": 8,
"outputGlobalIndex": 32288186,
"outputCreatedAt": 1082248,
"outputSettledAt": 1082253,
"ergoTree": "100304000e20793d6c566f238cd234176f7007b1e50c2e5ae4367b668351451ec6c9e9e97ca90400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(121,61,108,86,111,35,-116,-46,52,23,111,112,7,-79,-27,12,46,90,-28,54,123,102,-125,81,69,30,-58,-55,-23,-23,124,-87)\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": "nB3L2PD3JzpCPns7SoypaDJTg4KbG6UQBPknQuM3WZ4ZhPj3TGV5R5YArit7trzUum77qJ76JLLiJfW3Au8o3AvMh1suY2rcRm1UPfroUiTZfQrNL8izs6CBJYwMLf5jDSt3YwcFEPVYG",
"assets": [
{
"tokenId": "ffacb76e5c75bdc72314777e781b9377a54f93654880d4390f7a67a929100898",
"index": 0,
"amount": 1666666945238,
"name": "rptNEV1",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "6cbeec04af6a5047d8818eac2ac6e2b28e1e74a0d339cff96f7641a1a0c3ca9b",
"index": 1,
"amount": 8333333363522882,
"name": "rptWAdaV1",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 2,
"amount": 6026659949,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "0ee806d6547c396946f05cb93b33d3d3648f8e9817b9f2088fdb178392f85539",
"index": 3,
"amount": 24769000000,
"name": "rptWNCV1",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "40658a0945488e6820bef8916f2df40715716f471b1441f6b86f2c4e82d8a1c9",
"value": 1100000,
"index": 0,
"outputBlockId": "69521f157cd78e9962e7aa077cf973c2ce33dd534bec84ce35c7e6f092763519",
"outputTransactionId": "c85647df07f4ea14bf4635b1650c6c313366b6ca22a28212a30f82ed658d067c",
"outputIndex": 0,
"ergoTree": "100804000400040004000400040004020402d802d601b2db6308b2a5730000730100d602b2db6308a7730200ea02d19683030193b1b5a4d9010363d801d605db63087203ed91b172057303938cb27205730400018cb2db6308a7730500017306938c7201018c720201938c7201028c72020298b2e4c6a70510730700ade4c6a7041ad901030ecdee7203",
"address": "3FBpC6dt4xNpexUbLSZDR4YbuMWwLyKDUjbnHPCQf6VpUfqqLGzQ6P6uKkfoF1Eudh9YSU9uTEwYYJ3J8hDERT2mhM6wvCciz4HvZPLMUtdjeg5mCtJMyi6Wy2wTeQQ6UxyuwKCNGxU669QN1HNz7MF5JMg1xy84cEFVcTCcU2rKqiYpHNotatUq6uP6K3fAraF",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0a210329c11a8c915014f7f538f9af5005bda5c92c01045fa2fe204a566f465c85ca42210210b79b76d47d2f7bed850b2632b31b0a36b1f41d578ab323a315f177201c42de21022c2e132c2d3065d904830122d5dcc9ad3435f58392647d8886cb76ca6bedfe30210224def9adbb89ec4963c256f48ab594cd7ea4efe465cdaf1a96bd004a2af810622102bbcccfad6962e01d94d2155e58798bd5d452a7be3573c644b2c75efdfe30f3472102c12daa0e0290c493012758031af979d222440c66636751a3e50b6118ab70404d2103b0a147903e493896822e99ddd7f4ab64792a3e0c7f064e8292e6add1f3c6117e2103372fe8c849c66847dfcaee0263bdd9f212bd1e27b2b6388789ad283c93cc6c86210242f6c85295030adc35e014ac85447ab29c771bf1c80f23c2ff465356b412d565210367a8b3ccc55d368ff2601c41c1dfb642254399d7d2e3f8aae4ea440b0e7f0050",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0329c11a8c915014f7f538f9af5005bda5c92c01045fa2fe204a566f465c85ca42,0210b79b76d47d2f7bed850b2632b31b0a36b1f41d578ab323a315f177201c42de,022c2e132c2d3065d904830122d5dcc9ad3435f58392647d8886cb76ca6bedfe30,0224def9adbb89ec4963c256f48ab594cd7ea4efe465cdaf1a96bd004a2af81062,02bbcccfad6962e01d94d2155e58798bd5d452a7be3573c644b2c75efdfe30f347,02c12daa0e0290c493012758031af979d222440c66636751a3e50b6118ab70404d,03b0a147903e493896822e99ddd7f4ab64792a3e0c7f064e8292e6add1f3c6117e,03372fe8c849c66847dfcaee0263bdd9f212bd1e27b2b6388789ad283c93cc6c86,0242f6c85295030adc35e014ac85447ab29c771bf1c80f23c2ff465356b412d565,0367a8b3ccc55d368ff2601c41c1dfb642254399d7d2e3f8aae4ea440b0e7f0050]"
},
"R5": {
"serializedValue": "10020e10",
"sigmaType": "Coll[SInt]",
"renderedValue": "[7,8]"
}
}
}
],
"outputs": [
{
"boxId": "1ba66c8696e5107267e6778c296f9c9506619137f0475cd5df1f6e0bc1c9e4ff",
"transactionId": "e5f10a7577572d63d3ca857ad43ed41b97cabdb7be5aaa95a6056754d6531ab8",
"blockId": "2fef16108d106590d234407d92d3c8f77bff68fbd6a70d50f631aaab4ed7ac02",
"value": 1100000,
"index": 0,
"globalIndex": 32288337,
"creationHeight": 1082251,
"settlementHeight": 1082256,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"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 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 (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1db8e5a389490f1bcb8e17dfd414d6251d1f3707d38a1361d7a2045764d281fe]"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"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 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 (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
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"index": 0,
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"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"index": 1,
"amount": 80,
"name": "rptconfRSNV1",
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"type": "EIP-004"
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"additionalRegisters": {
"R4": {
"serializedValue": "1a012023152a40001d97709623d31029acfc5374df08f27fab050b3844b02bc8d0743e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[23152a40001d97709623d31029acfc5374df08f27fab050b3844b02bc8d0743e]"
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"spentTransactionId": "5611579e8a198e52712f821829142bbbd1750f795f101741b57729ff8c5f52cd",
"mainChain": true
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{
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"index": 2,
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"creationHeight": 1082251,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"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 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 (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
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"index": 0,
"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
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{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 1,
"amount": 80,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
}
],
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"R4": {
"serializedValue": "1a0120143d16a70d742c065738439cd0b00ae64bc3e1ae2647277f1b746e411f582cba",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[143d16a70d742c065738439cd0b00ae64bc3e1ae2647277f1b746e411f582cba]"
}
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"mainChain": true
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{
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"index": 3,
"globalIndex": 32288340,
"creationHeight": 1082251,
"settlementHeight": 1082256,
"ergoTree": "10110400040004040400040204000e2032ee5d947cfe8db5480157ffa566b9b7d9faf41fa145c9d00628c7c1599878f60404040004000400010104000e20e0b2ac07c924f3f965d1d98441a029650f84d69b011042d330e3b6759a18f1b4040404000400d806d601b2a5730000d6028cb2db6308a773010001d603aeb5b4a57302b1a5d901036391b1db630872037303d9010363aedb63087203d901054d0e938c7205017202d604e4c6a7041ad605b2a5730400d606db6308720595938cb2db63087201730500017306d196830301ef7203938cb2db6308b2a473070073080001b2720473090095ae7206d901074d0e938c720701720296830201938cb27206730a0001720293c27205c2a7730bd801d607c2a7d196830a01938cb27206730c0001720293cbc27205730de6c67205051ae6c67205060e93e4c67205070ecb720793e4c67205041a7204ef720393c27201720793e4c67201041a7204938cb2db6308b2a5730e00730f0001b27204731000",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"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 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 (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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{
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"index": 0,
"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 1,
"amount": 80,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
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],
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"sigmaType": "Coll[Coll[SByte]]",
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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 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 (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"name": "rptconfRSNV1",
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"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[af3703fef3b2d5b0f0d6c1f6b73335086978be00856caa46ba58e8d6b38fa6f5]"
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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 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 (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"index": 0,
"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"index": 1,
"amount": 80,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5121ff1832cfc2e0a05111faf65416318b030d27e9d6a972adddd4da1f017262]"
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"index": 7,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"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 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 (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7f2ece1fa522a7cea01af48e6b73ef64f2600f92cd0c514c9543c2f17fb58513]"
}
},
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"mainChain": true
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{
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"index": 8,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\n14: 2\n15: 0\n16: 0",
"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 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 (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"name": "rptconfRSNV1",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3c0a102ee3cd6b5408367928049da15c1cb495b2dabfde36dce92c7931a96080]"
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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 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 (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"index": 0,
"amount": 10000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
},
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"index": 1,
"amount": 80,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
}
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[db6dc2e82fe45bcd43f92386a12df41bef815ef6713267754ff3043e48b3f43e]"
}
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"ergoTree": "0008cd0283729b7d284e528aceac69706af1221fbb345cd78e85e984c9bc8af23cdf3589",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(83729b,96d228,...)))}",
"address": "9fWxAoBqhzp2xYSH3Yx3gUQUQ4pVWBhrTMMXFdHTuoid1hUDCyd",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
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"ergoTree": "0008cd024e4e18efe72a6ae117a0fd9c11e89d8d14bd997553e20b5b37faab7b3969a642",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4e4e18,4c59d4,...)))}",
"address": "9f7YiJRETT14PzywFSWyHwzFstMhcpqAozVffewuQ4Mus6X7AFU",
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"spentTransactionId": "8d862f145bfc090db5c075e8368e8a5104261ba265d8a19408de219185a2300f",
"mainChain": true
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{
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"ergoTree": "0008cd031489e73d14418632783253c42d63065833d34d1b8805fbf1cb30d685408aa045",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1489e7,b14dbd,...)))}",
"address": "9gcrKn7L5Ln3rRsjFoSEkEsovUdb5JR5d6o2vHQV5FCXXNkkEAD",
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"spentTransactionId": "b9c2593559fa743f801172bbf996919e2ac56e7d7fadbd68e923c7d2a1b2a2e1",
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{
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"ergoTreeConstants": "0: 0\n1: Coll(121,61,108,86,111,35,-116,-46,52,23,111,112,7,-79,-27,12,46,90,-28,54,123,102,-125,81,69,30,-58,-55,-23,-23,124,-87)\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": "nB3L2PD3JzpCPns7SoypaDJTg4KbG6UQBPknQuM3WZ4ZhPj3TGV5R5YArit7trzUum77qJ76JLLiJfW3Au8o3AvMh1suY2rcRm1UPfroUiTZfQrNL8izs6CBJYwMLf5jDSt3YwcFEPVYG",
"assets": [
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"index": 0,
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"name": "rptNEV1",
"decimals": 4,
"type": "EIP-004"
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"index": 1,
"amount": 8333333363522882,
"name": "rptWAdaV1",
"decimals": 6,
"type": "EIP-004"
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"index": 2,
"amount": 6026657949,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
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{
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"amount": 24769000000,
"name": "rptWNCV1",
"decimals": 2,
"type": "EIP-004"
}
],
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},
{
"boxId": "9be6585b9c196c84b361f8410d7b3ef427950a28a4352847fb083b65c28f2d38",
"transactionId": "e5f10a7577572d63d3ca857ad43ed41b97cabdb7be5aaa95a6056754d6531ab8",
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
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"mainChain": true
}
],
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}