Transaction
ID: e566b34196...020c
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.033695789 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.033695789 ERG
Outputs (12)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Unspent
Unspent
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.033545789 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.033545789 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 35,015
Total coins transferred: 0.079391578 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000223 ERG
Raw Transaction Data
{
"id": "e566b34196e339c7bf930e2bbafbdabb80bdd3ba73538eb29959ba6fe136020c",
"blockId": "74e51fbe4ae7f127f31b7306139487d0e5f29c41b148dab249d639d212d22dd5",
"inclusionHeight": 1729616,
"timestamp": 1772020934103,
"index": 1,
"globalIndex": 10357463,
"numConfirmations": 35015,
"inputs": [
{
"boxId": "22368a3526b192c9ad276f6193fe931c4538e2efb4492773b970a3543494bc96",
"value": 10000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "9a3742d35c80dd9f57f4f7571ba17addebb59bc085af770d8155266cb481e36e",
"outputTransactionId": "413e43f234f99b6510febc5fcb380a0040758e072befea9c9d0dc210c0d67266",
"outputIndex": 0,
"outputGlobalIndex": 53793245,
"outputCreatedAt": 1729542,
"outputSettledAt": 1729545,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(91,76,28,58,-107,-99,-42,-123,95,-109,52,101,29,69,88,-105,21,38,-38,46,-66,96,52,-14,-27,46,-48,98,-6,64,18,83)\n10: 1\n11: 0\n12: Coll(12,-52,-17,97,33,85,102,67,-97,34,-75,-92,-86,-89,86,113,-125,-44,-7,-34,-106,62,123,-51,-78,124,-100,-19,118,-62,-85,12)\n13: 10\n14: Coll(9,-81,-23,48,20,-10,-106,10,-86,-61,7,28,-111,-102,-31,-125,0,-15,92,117,-92,109,-45,-78,47,-79,-8,-64,30,101,-9,91)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 5000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2002161f0e6fdeed32d8742ca12c179798d1bb53d07fb132a663f4657aad4bf616",
"sigmaType": "Coll[SByte]",
"renderedValue": "02161f0e6fdeed32d8742ca12c179798d1bb53d07fb132a663f4657aad4bf616"
},
"R5": {
"serializedValue": "1a0c40643338303961626232646335316532396233363338336366623032393266643538643733656132313338663636326561626563363534333536663430346438610763617264616e6f0762696e616e63656761646472317179646a616c6d30723864666337723274306a6a6e7068796c32796777343835336c77677963757377306a746e716e756866337a666b7a35377178376a3370676c75717a6663356834346474777561706e6d7430346a7176677230717764396d716b2a3078376232656238363766393664326565346238383263326362396466353432613863656165353039630800000000000f424008000000000007a120080000000000011170036164612a3078373838623232636139366264366136663830393465316563313161383263373762376563666563344037636536313232303637316132363630353736666436323435363938353963303162646338313839383836356431333661643538396666646664316564396636080000000000c7a990",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[64333830396162623264633531653239623336333833636662303239326664353864373365613231333866363632656162656336353433353666343034643861,63617264616e6f,62696e616e6365,61646472317179646a616c6d30723864666337723274306a6a6e7068796c32796777343835336c77677963757377306a746e716e756866337a666b7a35377178376a3370676c75717a6663356834346474777561706e6d7430346a7176677230717764396d716b,307837623265623836376639366432656534623838326332636239646635343261386365616535303963,00000000000f4240,000000000007a120,0000000000011170,616461,307837383862323263613936626436613666383039346531656331316138326337376237656366656334,37636536313232303637316132363630353736666436323435363938353963303162646338313839383836356431333661643538396666646664316564396636,0000000000c7a990]"
},
"R6": {
"serializedValue": "0e20d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7b5a9b8faaf4fd6f92d019f236cd34386a9e1f30818995045f1c29e1290c5ae"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
}
},
{
"boxId": "867f4da2ff12a3b6caa5b5b6af29cb32c7fcec626d2a1c0a8173fc2ed4f94781",
"value": 2000000,
"index": 1,
"spendingProof": "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",
"outputBlockId": "935a78dd4ac6f0988c51e844c12bd2de11af0c505b2a19c4297bee581ced89eb",
"outputTransactionId": "05f5003b1aaa08a84c47088f833be665a8a22fe32bea5fe083da7f3bd51f0267",
"outputIndex": 0,
"outputGlobalIndex": 53795083,
"outputCreatedAt": 1729598,
"outputSettledAt": 1729600,
"ergoTree": "100304000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-94,-41,-12,27,121,-7,-117,-54,-17,8,33,75,-98,107,-16,-13,-72,3,-28,70,-87,-17,89,73,-38,121,-105,57,85,81,101,-86)\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": "nB3L2PD3L6537eX5AD1cyBwCejh2jt8nMhuonRWUSfpS43fakUpHT1uZyioPnVQ5EJdVPPskaWygfdxiDqbv3js6LR4TDkJXpRdKDm3Kk2x1cUmvy1ma9cD9H8tap7rRNWcMnJD75fptM",
"assets": [
{
"tokenId": "b2dcea48caf0e73309138d659f6eb69d7ec8793dee989670c72dd4ffde7ebeb3",
"index": 0,
"amount": 1200,
"name": "rpnBTC",
"decimals": 8,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0507626974636f696e2a62633171326a7930636b37686a7770326d346330326877706835346c787432637873333075343637307603363938033530313339686167776e65484b4d424a484e37706e5238574c7744326e65354e5170575745434c45647778625339426d336969676d6b5a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[626974636f696e,62633171326a7930636b37686a7770326d346330326877706835346c7874326378733330753436373076,363938,353031,39686167776e65484b4d424a484e37706e5238574c7744326e65354e5170575745434c45647778625339426d336969676d6b5a]"
}
}
},
{
"boxId": "35e88409bd9b57976d2ddbf9639e13bca621e383911b577ef04f9da8104dc356",
"value": 33695789,
"index": 2,
"spendingProof": "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",
"outputBlockId": "a9706dc02ca152d286f513f8a653c4c5a22a2ce65f7124c738a2e1c3c94d8066",
"outputTransactionId": "149bfcbf679c780bb019816b878c0cd407877880acaa4e6d98dc0f57ad820838",
"outputIndex": 11,
"outputGlobalIndex": 53757269,
"outputCreatedAt": 1728236,
"outputSettledAt": 1728240,
"ergoTree": "100304000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-94,-41,-12,27,121,-7,-117,-54,-17,8,33,75,-98,107,-16,-13,-72,3,-28,70,-87,-17,89,73,-38,121,-105,57,85,81,101,-86)\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": "nB3L2PD3L6537eX5AD1cyBwCejh2jt8nMhuonRWUSfpS43fakUpHT1uZyioPnVQ5EJdVPPskaWygfdxiDqbv3js6LR4TDkJXpRdKDm3Kk2x1cUmvy1ma9cD9H8tap7rRNWcMnJD75fptM",
"assets": [
{
"tokenId": "36cd0ff2a2e12fd9ede563b07808684dbe6bb4b85ce831b92c23cc8322ca784c",
"index": 0,
"amount": 232016,
"name": "Euclid",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "45c1c80de3ca1c0f0d21cb9862032894496671071aa923289c6dee1576478e23",
"index": 1,
"amount": 2831,
"name": "Foxtrot",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "01c4809f78c0210e4d1406e025abf27ef8df51639355184e8ac891fa9e6d201b",
"index": 2,
"amount": 1,
"name": "Avicenna",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "b2dcea48caf0e73309138d659f6eb69d7ec8793dee989670c72dd4ffde7ebeb3",
"index": 3,
"amount": 6103515166,
"name": "rpnBTC",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "21d2cd3c488d530bb7d2c8f3e9c1f495ee5a4f30ab798b83b481c978ece75f83",
"index": 4,
"amount": 451660448026,
"name": "rpnDoge",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "6cf0dd0ebd2c791c2aa8c2a083c16d15fc0e7b609d1dbddb553f319754acfcc1",
"index": 5,
"amount": 73303221504,
"name": "rpnETH",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d8ed061f2eb0a50ad7db8970e347356247faefe8ec5c3c786b0f7b55a5279465",
"index": 6,
"amount": 6103449472,
"name": "rpnAoS",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "08779df8d22fe096de6b382264af0ed6859326a47212484fffffe3fb212d7a1f",
"index": 7,
"amount": 27464814972,
"name": "rpnADA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 8,
"amount": 43230,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "82f7cec6d682e8a0d965e6d93de66ec18933f72181c59a5d85802f0fe2afc98c",
"index": 9,
"amount": 122070310535,
"name": "rpnBNB",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 10,
"amount": 34,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b35fd2dabc9bdf2b69aa9c25eb7e7818297add61b2dd3b5ab039439e100e487",
"index": 11,
"amount": 5533,
"name": "rpnRPOCR",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "ea94bcd86000d85518ae4fd9ec328018e4be9eee4d1081e3c42746c5bf62c352",
"index": 12,
"amount": 6066,
"name": "rpnPyth",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "2f8985ef5acceb123f72d6a2a196f8e93c55bf7dde46910c15a0c860cecee078",
"value": 33695789,
"index": 3,
"spendingProof": "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",
"outputBlockId": "a9706dc02ca152d286f513f8a653c4c5a22a2ce65f7124c738a2e1c3c94d8066",
"outputTransactionId": "149bfcbf679c780bb019816b878c0cd407877880acaa4e6d98dc0f57ad820838",
"outputIndex": 10,
"outputGlobalIndex": 53757268,
"outputCreatedAt": 1728236,
"outputSettledAt": 1728240,
"ergoTree": "100304000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-94,-41,-12,27,121,-7,-117,-54,-17,8,33,75,-98,107,-16,-13,-72,3,-28,70,-87,-17,89,73,-38,121,-105,57,85,81,101,-86)\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": "nB3L2PD3L6537eX5AD1cyBwCejh2jt8nMhuonRWUSfpS43fakUpHT1uZyioPnVQ5EJdVPPskaWygfdxiDqbv3js6LR4TDkJXpRdKDm3Kk2x1cUmvy1ma9cD9H8tap7rRNWcMnJD75fptM",
"assets": [
{
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"index": 0,
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"name": "Euclid",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "Foxtrot",
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},
{
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"index": 2,
"amount": 6103515166,
"name": "rpnBTC",
"decimals": 8,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 451660448026,
"name": "rpnDoge",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 4,
"amount": 73303221503,
"name": "rpnETH",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d8ed061f2eb0a50ad7db8970e347356247faefe8ec5c3c786b0f7b55a5279465",
"index": 5,
"amount": 6103449471,
"name": "rpnAoS",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 6,
"amount": 27464814972,
"name": "rpnADA",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 7,
"amount": 43229,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 8,
"amount": 122070310535,
"name": "rpnBNB",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 9,
"amount": 34,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 10,
"amount": 5533,
"name": "rpnRPOCR",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "ea94bcd86000d85518ae4fd9ec328018e4be9eee4d1081e3c42746c5bf62c352",
"index": 11,
"amount": 6066,
"name": "rpnPyth",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "14ae6f77e133093b899493bc79a41e09a2f720294349059d9d11a6dd863c0a5c",
"value": 1100000,
"index": 0,
"outputBlockId": "7fe8cc68cce31821ec041885d336e1de47642c1aa1053db4eabd83e0592bd41b",
"outputTransactionId": "c4fce7f3470e36d086d290ae64cdf7f723a095a33df5c8e33ebe06483feaf3d3",
"outputIndex": 0,
"ergoTree": "100804000400040004000400040004020402d802d601b2db6308b2a5730000730100d602b2db6308a7730200ea02d19683030193b1b5a4d9010363d801d605db63087203ed91b172057303938cb27205730400018cb2db6308a7730500017306938c7201018c720201938c7201028c72020298b2e4c6a70510730700ade4c6a7041ad901030ecdee7203",
"address": "3FBpC6dt4xNpexUbLSZDR4YbuMWwLyKDUjbnHPCQf6VpUfqqLGzQ6P6uKkfoF1Eudh9YSU9uTEwYYJ3J8hDERT2mhM6wvCciz4HvZPLMUtdjeg5mCtJMyi6Wy2wTeQQ6UxyuwKCNGxU669QN1HNz7MF5JMg1xy84cEFVcTCcU2rKqiYpHNotatUq6uP6K3fAraF",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a06210361cddbc4a332f3dfc8b9b8a8850c63d737f6f0782a700aac7f0a9c15c5822d3e2103b04238bbacd33f2200b534b4e64e51e54d41983713786024e4158c7ddcdbc07421025c5cdbfefe114a69d3fc476b0ee0ef337cdd857c0dec0020755510ffa64ce3a721032ad9cb72e098195233335bed22f091018fb83e22c3899b39682365a940eeee8421024e1a4a35b076e0fcc4c72dcf612e710a294d3101325a22a14ee4357e6b8f0cf721026be313e8ec5d06cd07fbee24a2a3d36019bfdb0b4928889aef9314ae74a04c54",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0361cddbc4a332f3dfc8b9b8a8850c63d737f6f0782a700aac7f0a9c15c5822d3e,03b04238bbacd33f2200b534b4e64e51e54d41983713786024e4158c7ddcdbc074,025c5cdbfefe114a69d3fc476b0ee0ef337cdd857c0dec0020755510ffa64ce3a7,032ad9cb72e098195233335bed22f091018fb83e22c3899b39682365a940eeee84,024e1a4a35b076e0fcc4c72dcf612e710a294d3101325a22a14ee4357e6b8f0cf7,026be313e8ec5d06cd07fbee24a2a3d36019bfdb0b4928889aef9314ae74a04c54]"
},
"R5": {
"serializedValue": "1002080a",
"sigmaType": "Coll[SInt]",
"renderedValue": "[4,5]"
}
}
}
],
"outputs": [
{
"boxId": "99ab1a78ced19ff39cf8bd24be0f12b07df8fa584516972bbc7119f249c1a5a6",
"transactionId": "e566b34196e339c7bf930e2bbafbdabb80bdd3ba73538eb29959ba6fe136020c",
"blockId": "74e51fbe4ae7f127f31b7306139487d0e5f29c41b148dab249d639d212d22dd5",
"value": 2000000,
"index": 0,
"globalIndex": 53795723,
"creationHeight": 1729613,
"settlementHeight": 1729616,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-102,-29,-64,64,27,61,117,54,-78,-82,106,94,-38,-23,3,-27,-41,113,-60,-91,-124,-33,71,-54,59,-106,126,-93,123,-122,-44,127)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 1000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 7000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b6d02823c6cad5f8a602893933e9114db204d59f1859c1c1b1b5cbf0f380179d",
"sigmaType": "Coll[SByte]",
"renderedValue": "b6d02823c6cad5f8a602893933e9114db204d59f1859c1c1b1b5cbf0f380179d"
}
},
"spentTransactionId": "3a97b2a3a10f70ea9cbe2304a5a05cf2021f748704398d87825ae92f60d26f36",
"mainChain": true
},
{
"boxId": "fcffb9b28e5d0986c65d59979e4ff992bfbb81cc76c3fbeda4840865849e2b1c",
"transactionId": "e566b34196e339c7bf930e2bbafbdabb80bdd3ba73538eb29959ba6fe136020c",
"blockId": "74e51fbe4ae7f127f31b7306139487d0e5f29c41b148dab249d639d212d22dd5",
"value": 2000000,
"index": 1,
"globalIndex": 53795724,
"creationHeight": 1729613,
"settlementHeight": 1729616,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-102,-29,-64,64,27,61,117,54,-78,-82,106,94,-38,-23,3,-27,-41,113,-60,-91,-124,-33,71,-54,59,-106,126,-93,123,-122,-44,127)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "e50eca37d788f33086377fbafb934e81802a017105b3e58cb948b574a3be6c79",
"index": 0,
"amount": 1000,
"name": "RosenCardanoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 7000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20148ff590a6fffdd4aaf73d80a6daafe41b5dbdf2f267c8ac3263f37d54f01ce4",
"sigmaType": "Coll[SByte]",
"renderedValue": "148ff590a6fffdd4aaf73d80a6daafe41b5dbdf2f267c8ac3263f37d54f01ce4"
}
},
"spentTransactionId": "922907b822c5300179fc6233e33e8a56beca690fcf39bbe76af16f446870df47",
"mainChain": true
},
{
"boxId": "fae1dc0b94a6cf26bca5d768be0510fd30e8922b7abf38d25a2ec3639f790203",
"transactionId": "e566b34196e339c7bf930e2bbafbdabb80bdd3ba73538eb29959ba6fe136020c",
"blockId": "74e51fbe4ae7f127f31b7306139487d0e5f29c41b148dab249d639d212d22dd5",
"value": 2000000,
"index": 2,
"globalIndex": 53795725,
"creationHeight": 1729613,
"settlementHeight": 1729616,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"type": "EIP-004"
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"name": "eRSN-Pandora",
"decimals": 3,
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"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "4bd5613f6e97dde0ed601e69db92304a0315a4f0b3565bf3df0537ee4e56d17f"
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"spentTransactionId": "8962321a2d2d6ecb25217d5d21bf1427ec3309e8c877b537e479ba5ad9b42580",
"mainChain": true
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{
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"index": 3,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-102,-29,-64,64,27,61,117,54,-78,-82,106,94,-38,-23,3,-27,-41,113,-60,-91,-124,-33,71,-54,59,-106,126,-93,123,-122,-44,127)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[SByte]",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-102,-29,-64,64,27,61,117,54,-78,-82,106,94,-38,-23,3,-27,-41,113,-60,-91,-124,-33,71,-54,59,-106,126,-93,123,-122,-44,127)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"name": "RosenCardanoRWT-Pandora",
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"sigmaType": "Coll[SByte]",
"renderedValue": "1f1f597cd1f3647f893da50fabd426b5c31061cb007cef5519f4b57fd84d1ecf"
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"ergoTree": "0008cd02d861ebc12e106f09a9261148efa2f70abde229397b1e6712376aff4e6e819f4d",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d861eb,4059a3,...)))}",
"address": "9gAMiTk6z9TuAfyajDFCTSjPDtYnWh6JGYpJV3q4XpyQ7FcvoHk",
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}