Transaction
ID: d7ca23f45e...4a2c
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01678197 ERG
Tokens:
43,020.42
79.53
3,913,877.59
869,743.86
17,395.02
8,697.51
10,437.01
11.72
Outputs (11)
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
Address:
Settlement height:
Value:
0.0003 ERG
Tokens:
15.00
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.007390985 ERG
Tokens:
21,485.21
29.94
1,956,938.80
434,871.93
8,697.51
4,348.75
5,218.51
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.007390985 ERG
Tokens:
21,485.21
29.94
1,956,938.80
434,871.93
8,697.51
4,348.75
5,218.51
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 317,376
Total coins transferred: 0.02678197 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000268 ERG
Raw Transaction Data
{
"id": "d7ca23f45ed60a651c353d68efc9a7c998b96fbf2e17b6e9e2ae69cb3c644a2c",
"blockId": "caf2da05e49508da4d85d4283d47457ed8988875acec24d15c20b9ce67f00fab",
"inclusionHeight": 1456211,
"timestamp": 1738923261496,
"index": 28,
"globalIndex": 8557568,
"numConfirmations": 317376,
"inputs": [
{
"boxId": "71a44ace981787232ab02d84448e19603b8b9a1eca31364be481546dd3307108",
"value": 10000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "b234c967b9834fbf68a176dbc0de270fde146b9d019989880dca44a94827be44",
"outputTransactionId": "849c895cba0c672d107c4a47c16b74c7d80abf0d9b5ff4d0ebd0c31d643fe80c",
"outputIndex": 0,
"outputGlobalIndex": 46149569,
"outputCreatedAt": 1456164,
"outputSettledAt": 1456166,
"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(102,106,3,-81,2,114,104,-27,91,-80,-88,89,15,85,-107,-57,-56,-58,125,-28,-97,-91,126,-103,-76,126,-65,57,105,-103,-118,41)\n10: 1\n11: 0\n12: Coll(-113,-66,-52,-97,79,105,104,-79,-127,-41,13,51,127,51,114,-98,-101,60,-75,-111,-1,-49,-113,-54,22,40,44,-53,-60,-121,-91,-121)\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": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
"index": 0,
"amount": 5000,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207330a09214cb7faeb2ea96db330527c657f7458829a7d6984123eccf4c6a7bab",
"sigmaType": "Coll[SByte]",
"renderedValue": "7330a09214cb7faeb2ea96db330527c657f7458829a7d6984123eccf4c6a7bab"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[65626533663533313938353965346530656635303038656162656231333734373435626531653064323139663134653534353962636630313339353839373463,6572676f,62696e616e6365,39686167776e65484b4d424a484e37706e5238574c7744326e65354e5170575745434c45647778625339426d336969676d6b5a,307837623265623836376639366432656534623838326332636239646635343261386365616535303963,00000000000f4240,000000000000435a,000000000000096e,33366364306666326132653132666439656465353633623037383038363834646265366262346238356365383331623932633233636338333232636137383463,307862646138313538356237366134623532393535653638646137376161643433393863316262326433,38393932346236353432356636316531323364383862643866303662313332333339333838373630383466353163376532353661663433306463386561353961,0000000000163813]"
},
"R6": {
"serializedValue": "0e20eae77168549514eb08e36857b4b26a9fe9f03104eed6c432e4c8331ea63e0e94",
"sigmaType": "Coll[SByte]",
"renderedValue": "eae77168549514eb08e36857b4b26a9fe9f03104eed6c432e4c8331ea63e0e94"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
}
},
{
"boxId": "0f34f791c444d7847d4a9d63da2e6d0c89a9bfca1902681bcec8e287cfe4da16",
"value": 16781970,
"index": 1,
"spendingProof": "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",
"outputBlockId": "490d783650deaa56c9482ea677dab90dfc202c2a97fe13530a96bd7c37e9af4e",
"outputTransactionId": "d5e2ea404a17e0fb7d0ab8c6236528392f1dd4c912711b3080b8911e3a2ff37d",
"outputIndex": 9,
"outputGlobalIndex": 46150452,
"outputCreatedAt": 1456195,
"outputSettledAt": 1456198,
"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": 869750983189,
"name": "rpnBTC",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "36cd0ff2a2e12fd9ede563b07808684dbe6bb4b85ce831b92c23cc8322ca784c",
"index": 1,
"amount": 79534,
"name": "Euclid",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "08779df8d22fe096de6b382264af0ed6859326a47212484fffffe3fb212d7a1f",
"index": 2,
"amount": 3913877592041,
"name": "rpnADA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "d8ed061f2eb0a50ad7db8970e347356247faefe8ec5c3c786b0f7b55a5279465",
"index": 3,
"amount": 869743861769,
"name": "rpnAoS",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 4,
"amount": 43020420,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "6cf0dd0ebd2c791c2aa8c2a083c16d15fc0e7b609d1dbddb553f319754acfcc1",
"index": 5,
"amount": 10437010892227,
"name": "rpnETH",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "82f7cec6d682e8a0d965e6d93de66ec18933f72181c59a5d85802f0fe2afc98c",
"index": 6,
"amount": 17395018917167,
"name": "rpnBNB",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 7,
"amount": 11719,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "560203e97100427cc6f37bd9268d6b5463e0438eee2a95c01fb5001f6cc05865",
"value": 1100000,
"index": 0,
"outputBlockId": "14488eb28f219d96654044f4290e0844a757b6609e477af093394d52b1226fb7",
"outputTransactionId": "27cc5713bd31b8152e8b30221deb6aefc03e411ee3738ef3f7d154715520e8bf",
"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": "955cad3fa7c433381c72ec2c2fe4c0ecf1994ec250c05d6c68dda3a066d2075e",
"transactionId": "d7ca23f45ed60a651c353d68efc9a7c998b96fbf2e17b6e9e2ae69cb3c644a2c",
"blockId": "caf2da05e49508da4d85d4283d47457ed8988875acec24d15c20b9ce67f00fab",
"value": 2000000,
"index": 0,
"globalIndex": 46150919,
"creationHeight": 1456206,
"settlementHeight": 1456211,
"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(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\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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"assets": [
{
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"index": 0,
"amount": 1000,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 7000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20195bd457085e48b0e1467da99f011fc67827480c8a991b9a1ba53a6d2bb135d4",
"sigmaType": "Coll[SByte]",
"renderedValue": "195bd457085e48b0e1467da99f011fc67827480c8a991b9a1ba53a6d2bb135d4"
}
},
"spentTransactionId": "938b2304a3250e063060d668080798734e57c54e1332be993af6ea966879f52f",
"mainChain": true
},
{
"boxId": "2fdc3382db7a849795af093eef065c0a8b46f4707a2de8189e4e2838b4885382",
"transactionId": "d7ca23f45ed60a651c353d68efc9a7c998b96fbf2e17b6e9e2ae69cb3c644a2c",
"blockId": "caf2da05e49508da4d85d4283d47457ed8988875acec24d15c20b9ce67f00fab",
"value": 2000000,
"index": 1,
"globalIndex": 46150920,
"creationHeight": 1456206,
"settlementHeight": 1456211,
"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(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\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": [
{
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"index": 0,
"amount": 1000,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
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{
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"index": 1,
"amount": 7000,
"name": "eRSN-Pandora",
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"type": "EIP-004"
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],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "92932311cd5401cd6690b8da274ff937b8f4196eda94fd45f33aca8d7593eb97"
}
},
"spentTransactionId": "cda5e28694026313cbc8f4a99ed46b2d1a46e26d502de3148e8ece77d7f475b6",
"mainChain": true
},
{
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"index": 2,
"globalIndex": 46150921,
"creationHeight": 1456206,
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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(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\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": "2Eit2LFRqu2Mo33z3pYTJRHNCNzNQ51TP2C7dZhBWYB7eCYDNpJy3gjXAJbr3fUtKaZLDQTSw4uZG5sgWWpTmbNQHKxjP2Z3zCqxhaJeLc6tHXQzBop9dHSvFaiGkFZj7RjMvrWnHHA79zpgvwYAKmeRRquAcJV2jsGc8Uvdf3gEpueLPUfRLKHwfqVZsyPheMWfgbUpLRP1zCZRrDRmz9DshmMD5VjxGHtvrWZwxGe3KYNZUis8pixkpMfXVggXJvc57Xig3RxZ3fT2AAuhYeGrzjH74dj44FtyCVa3veMXXDpimkL2qGQ7vnd1Uh6dw5z1KGmJUkbwtoBdq5m9Zcg1mrvTqhk2pE1MM1K4Ax7hgANjWmBXn2nx6cyxUyji1nPKzJdWxYCC7PhRdRqC9mfFxnNg8CJPsyFaTj2FxxAe1bDhL6QaQ9ac4tgUXfG5tKMukdzDJ4o3ibvwTxXffiA2V9kpHo2PNXGTVkvLS7TAqe9xNJN9sqqC9DXYJsTvEQsbbF3WUb8bcYuGk4K4ftdBWEiC6kNKFeqvn6D5uyD5Kf3G1diaPqVbxuoQ6qMEPXgRiRQB5ANJHBxB9HxX186JmKVkRbx3qxzar35aaStHzbzDjPvgvBjhkFcUVRg8DnuHpaXPw83z6FQDC9MCJAhGao4kQvgh7HtMufLZtuZjaMNnE8SVwm87yQBEh4NtyqTGvG",
"assets": [
{
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"index": 0,
"amount": 1000,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 7000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20143f7c38a3e10ba24ccb7c4975dd091d0a9b916304c57db6a0534c4b493ce208",
"sigmaType": "Coll[SByte]",
"renderedValue": "143f7c38a3e10ba24ccb7c4975dd091d0a9b916304c57db6a0534c4b493ce208"
}
},
"spentTransactionId": "7e7c0560cb1ad2864059ccc5570986d5151ab277f15222070b7267aee2784b96",
"mainChain": true
},
{
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"value": 2000000,
"index": 3,
"globalIndex": 46150922,
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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(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\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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"assets": [
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"decimals": 3,
"type": "EIP-004"
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"name": "eRSN-Pandora",
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"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115"
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"spentTransactionId": "3672540177a5bede3ad46b2da6ac04503a11a25be6d70daff79c0c51eea6722f",
"mainChain": true
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{
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"index": 4,
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"creationHeight": 1456206,
"settlementHeight": 1456211,
"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(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\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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"assets": [
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"amount": 1000,
"name": "RosenErgoRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
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"name": "eRSN-Pandora",
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"sigmaType": "Coll[SByte]",
"renderedValue": "700577946f4334199916bacf1ce3286404acd4f9476876e6ec7d5bf5a2184d3f"
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"mainChain": true
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{
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"ergoTree": "0008cd02d861ebc12e106f09a9261148efa2f70abde229397b1e6712376aff4e6e819f4d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d861eb,4059a3,...)))}",
"address": "9gAMiTk6z9TuAfyajDFCTSjPDtYnWh6JGYpJV3q4XpyQ7FcvoHk",
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(446e53,a19ed9,...)))}",
"address": "9f3CVVDJnms2TdsnVLrRa5ukhKiHLBZXwc1ApVpRaqpoaJFKtHw",
"assets": [
{
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"index": 0,
"amount": 15001,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
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],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
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"creationHeight": 1456206,
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"ergoTree": "0008cd03c5fc06d9e75cce2ca0a4f0a9840e6695798306f83fd41a28e290c69de38ea275",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c5fc06,b3e6b2,...)))}",
"address": "9hxzwRsK3cop3mYn6w8EPoBAHZ6J4wKudHXjaJYdiAvSx5hhfB6",
"assets": [
{
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"index": 0,
"amount": 2414,
"name": "Euclid",
"decimals": 3,
"type": "EIP-004"
}
],
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"mainChain": true
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{
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"transactionId": "d7ca23f45ed60a651c353d68efc9a7c998b96fbf2e17b6e9e2ae69cb3c644a2c",
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"index": 8,
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"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}",
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"decimals": 8,
"type": "EIP-004"
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{
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"index": 1,
"amount": 29939,
"name": "Euclid",
"decimals": 3,
"type": "EIP-004"
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"type": "EIP-004"
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"type": "EIP-004"
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"name": "eRSN-Pandora",
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"type": "EIP-004"
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"type": "EIP-004"
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"type": "EIP-004"
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},
{
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"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}",
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"type": "EIP-004"
},
{
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},
{
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{
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],
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},
{
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"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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"isUnconfirmed": false
}