Transaction
ID: ff65906c63...d6fe
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
900
Spent
Address:
Output transaction:
Settlement height:
Value:
16.15 ERG
Tokens:
Outputs (13)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
16.14 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 631,215
Total coins transferred: 16.16 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000192 ERG
Raw Transaction Data
{
"id": "ff65906c63beb7cc327a9135b43c8e63f1267681eab0b791159332d3c4b9d6fe",
"blockId": "95531dbe257de2e0c2c992315fad3e58c50f1dc9af4365db773058d64781b4f0",
"inclusionHeight": 1137788,
"timestamp": 1700375461255,
"index": 28,
"globalIndex": 6140430,
"numConfirmations": 631215,
"inputs": [
{
"boxId": "0ad648f1d33e310c1b14318c374900b838cfd828fba7fee8bc36f41c126de7d2",
"value": 9900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "32acf416aabc4098469486575913ab42ef43d15013c22ac59be37ad5ab8449d0",
"outputTransactionId": "76e9cc31d47ce97d76092cc9d6d0f7d05bb34f1e2ae071b01753f8774e291117",
"outputIndex": 0,
"outputGlobalIndex": 34345222,
"outputCreatedAt": 1136508,
"outputSettledAt": 1136510,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(-89,-76,32,59,120,-40,78,-124,-88,-57,48,-26,96,19,103,-29,-35,-7,58,24,66,91,-44,53,-58,71,-114,-5,-28,79,-20,84)\n7: 1\n8: 0\n9: Coll(-20,-94,-32,36,11,-22,-109,-59,52,12,-54,50,93,31,29,126,-22,118,10,-28,77,-68,-10,-69,60,47,53,-54,51,41,-77,62)\n10: 7200\n11: Coll(-59,-96,41,-11,-109,-95,6,-31,89,77,-38,30,84,53,-82,68,-77,71,-6,77,-33,-113,-96,60,-51,5,122,-4,40,-73,-35,56)",
"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": "BRNzuPCshtnBeoxCJ8iQiVcHoh4iza7Gw8rnoBFVjvMNAdCgaTCqewApGRZCcvzwPSN4kj8myhb2TVcbGP9jd3yyTaetsDdnqvUwXxdnywZSxFSC4uKgy4EhHGesWquZiSbN6LSLcrXQNL8dJxNGDQpaNXzEtvMTckytebfQwvDs8G3kSV8N36NF7YzJeTvSBgg4ruGkmtosNNZ8BPgf56xRgBgZ7hUXEYKM8K6egcVjwGL8ab26sFnXGtWgQgNuULhMD6K8nxPFfVxqiCBAyQHRUDfV6u8o36YEkAQm6czJVFjkVojj47DXL5qL3Af6msFPNWQWvSDF1T8pyok3YLS31t14LpEX97CtEZTYDUzZ3Tfvmjbk94HDrN5dSNRzHZLzuZgBCi5GpxBppZN6TvorRgtiBW4GZn75wCX4mYsY4so91sSTgge17TzJzjuDX9",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 900000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[038a51fb732b5e46f139eb1f92ac773e4515eb9435df38259460c5316efea376,f862fac848a53ec304cce627333413c80c63018c9728689ae63784ff133ad522,129a7d756ebb65945d7543ef9291c0ac141476adb766c1a966d3d66e180a23ce,39b4e1000a80e27d901b680c04d39be2a89febafdf47749bf0d8e2fc548c28cb,d4eac31b2de6142f9d7b56d3cddae5f8313b76a18294ba4324f45567a20ef251,7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2,c3403069ad753d9f9ec2746f08d3bd6e7c9d4d45e4396d5494f7016b83977720,4dbcd6c106ea0342d984eded9a491816cb949d0e3c4c49fcef5e6b027cf3f4a7,648e596f85eff17ac596e8949c077351d0191a0ce8af91546f2f742c57fed862]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30626530303565346666376662313632396666386634313936393063616430626136316565363330376531623932383061663264626532663265303534656436,6572676f,63617264616e6f,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438787333656e633533663461716b733776356735743235346675326e38737a3277736c6132393361,0000000000d83921,000000000067c475,0000000000245190,30626634376331396534393934346133383934386336333563306165663933643839373337616136386466356164383831623037633866396136336533393864,616461,34313333653033326663306635396365316139656237373935653732636462626261663333343563623762623534383561626164656338343339303665323335,000000000011576a]"
},
"R6": {
"serializedValue": "0e20df73d6176bb691ff12d47db22dc23f1f7003f02a56c95d6841685fe68469b3d5",
"sigmaType": "Coll[SByte]",
"renderedValue": "df73d6176bb691ff12d47db22dc23f1f7003f02a56c95d6841685fe68469b3d5"
}
}
},
{
"boxId": "d779ad37fb919593c6e8e0bd512e5b48774a05dbad6909f98c5790100c4ffacc",
"value": 16146074457,
"index": 1,
"spendingProof": "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",
"outputBlockId": "0d087b85f85ee2ebf9a8a7b95a0cd3158f6825053541b08e7de6dca9809ba15a",
"outputTransactionId": "f67315ed3a9fa9f5920204540dc3f886b1eae2fa87c21267f6c37cba59df4dba",
"outputIndex": 11,
"outputGlobalIndex": 34391809,
"outputCreatedAt": 1137756,
"outputSettledAt": 1137766,
"ergoTree": "100304000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(100,-114,-100,-16,-77,-107,96,-35,51,69,75,-72,-27,-59,-27,-65,72,-15,46,22,29,-57,-61,17,45,-114,-33,-37,22,6,-60,13)\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": "nB3L2PD3JTNGWZVRVuTYLEyHwoSe4EC4zP5Wd7x1f29FimSmwmUPsaR5duxgoZ8bZdyBBpHkEHaAhPMxgaGL2KhQEezsTCdayAoWYX6mLEXDM1hGfv5ZrEq5PWA4aPCcbiefyVyrZGFA5",
"assets": [
{
"tokenId": "0bf47c19e49944a38948c635c0aef93d89737aa68df5ad881b07c8f9a63e398d",
"index": 0,
"amount": 1000000084469930,
"name": "wrADA-loen",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 9964128623,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "9d9887f126735dbce60a4562eb2f8b19a9100f85a0cb1c88fd3963d7a39dec46",
"index": 2,
"amount": 49994360520,
"name": "wrToken-loen",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "9648f1fb5f93204d0f4e258c848a4cc893202c862f374278cf10770fcaf28cac",
"value": 1100000,
"index": 0,
"outputBlockId": "21d034007d73c966f37b73908d9e59face45b3a3b6c3cc4508196ea642ea4b70",
"outputTransactionId": "d9dd9b37d31ff6d3e2e8dfc0f38034135efa34f4a74b3bf7a21c1371d7bc2a67",
"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": "f7cac323bc7525d90cba8962227d92605f2aaffc0535c9b91a8a727c6b89076e",
"transactionId": "ff65906c63beb7cc327a9135b43c8e63f1267681eab0b791159332d3c4b9d6fe",
"blockId": "95531dbe257de2e0c2c992315fad3e58c50f1dc9af4365db773058d64781b4f0",
"value": 1100000,
"index": 0,
"globalIndex": 34393098,
"creationHeight": 1137782,
"settlementHeight": 1137788,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120038a51fb732b5e46f139eb1f92ac773e4515eb9435df38259460c5316efea376",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[038a51fb732b5e46f139eb1f92ac773e4515eb9435df38259460c5316efea376]"
}
},
"spentTransactionId": "3307b0cd9d2ac46c7f3aeef7516d38364bbd3e36e2eaa7c68c6445d9eae9bc2f",
"mainChain": true
},
{
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"transactionId": "ff65906c63beb7cc327a9135b43c8e63f1267681eab0b791159332d3c4b9d6fe",
"blockId": "95531dbe257de2e0c2c992315fad3e58c50f1dc9af4365db773058d64781b4f0",
"value": 1100000,
"index": 1,
"globalIndex": 34393099,
"creationHeight": 1137782,
"settlementHeight": 1137788,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f862fac848a53ec304cce627333413c80c63018c9728689ae63784ff133ad522",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f862fac848a53ec304cce627333413c80c63018c9728689ae63784ff133ad522]"
}
},
"spentTransactionId": "4a85e34916abee739bff0136d16d65f38f7e4900ba8b3b301d3b90a0460b32b0",
"mainChain": true
},
{
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"transactionId": "ff65906c63beb7cc327a9135b43c8e63f1267681eab0b791159332d3c4b9d6fe",
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"value": 1100000,
"index": 2,
"globalIndex": 34393100,
"creationHeight": 1137782,
"settlementHeight": 1137788,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120129a7d756ebb65945d7543ef9291c0ac141476adb766c1a966d3d66e180a23ce",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[129a7d756ebb65945d7543ef9291c0ac141476adb766c1a966d3d66e180a23ce]"
}
},
"spentTransactionId": "f360ff82d7bdcc0f459df3dad08c47f59512f5b66b16a332fca4e2e3c6c5c695",
"mainChain": true
},
{
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"index": 3,
"globalIndex": 34393101,
"creationHeight": 1137782,
"settlementHeight": 1137788,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012039b4e1000a80e27d901b680c04d39be2a89febafdf47749bf0d8e2fc548c28cb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[39b4e1000a80e27d901b680c04d39be2a89febafdf47749bf0d8e2fc548c28cb]"
}
},
"spentTransactionId": "e1851b1e81053695dcf459d9df113722f3c24e95df88d635686952bb46ec2698",
"mainChain": true
},
{
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"transactionId": "ff65906c63beb7cc327a9135b43c8e63f1267681eab0b791159332d3c4b9d6fe",
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"value": 1100000,
"index": 4,
"globalIndex": 34393102,
"creationHeight": 1137782,
"settlementHeight": 1137788,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d4eac31b2de6142f9d7b56d3cddae5f8313b76a18294ba4324f45567a20ef251",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d4eac31b2de6142f9d7b56d3cddae5f8313b76a18294ba4324f45567a20ef251]"
}
},
"spentTransactionId": "7ffaf376ae9c1887859ff1250e19600b0a510f41b49866b0f31dee3b12b58ff4",
"mainChain": true
},
{
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"transactionId": "ff65906c63beb7cc327a9135b43c8e63f1267681eab0b791159332d3c4b9d6fe",
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"value": 1100000,
"index": 5,
"globalIndex": 34393103,
"creationHeight": 1137782,
"settlementHeight": 1137788,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7231b4c2548c41e37f86fab15d9ba75e1e1b5011e621cc93406be6dbc65975b2]"
}
},
"spentTransactionId": "eb0b67efb6e9ff24e1eae4d5e9bc369fde2b88b71e1d1fb9f615e3250fdbbe04",
"mainChain": true
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{
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"index": 6,
"globalIndex": 34393104,
"creationHeight": 1137782,
"settlementHeight": 1137788,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c3403069ad753d9f9ec2746f08d3bd6e7c9d4d45e4396d5494f7016b83977720]"
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"spentTransactionId": "36a83e1b4aec3938bb9dfffd1d27ed86b3e5c3fa5ab450e6858f65251ed5cb65",
"mainChain": true
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{
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"index": 7,
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"creationHeight": 1137782,
"settlementHeight": 1137788,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"name": "eRWT-loen",
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"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[4dbcd6c106ea0342d984eded9a491816cb949d0e3c4c49fcef5e6b027cf3f4a7]"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-79,77,67,-54,-107,-112,68,-22,-19,31,3,24,-82,102,93,-79,-25,-84,-114,-109,-80,52,55,69,28,-86,125,-15,81,-13,-88,-102)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
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"ergoTree": "0008cd0283729b7d284e528aceac69706af1221fbb345cd78e85e984c9bc8af23cdf3589",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(83729b,96d228,...)))}",
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"ergoTree": "0008cd024e4e18efe72a6ae117a0fd9c11e89d8d14bd997553e20b5b37faab7b3969a642",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4e4e18,4c59d4,...)))}",
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}
],
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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}",
"address": "nB3L2PD3JTNGWZVRVuTYLEyHwoSe4EC4zP5Wd7x1f29FimSmwmUPsaR5duxgoZ8bZdyBBpHkEHaAhPMxgaGL2KhQEezsTCdayAoWYX6mLEXDM1hGfv5ZrEq5PWA4aPCcbiefyVyrZGFA5",
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"index": 0,
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"name": "wrADA-loen",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 9964128623,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 49994360520,
"name": "wrToken-loen",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "9c3b9147562c83021c1cc8ea60a727f26f83c21b1ea2517dc4992c23a6287f1f",
"mainChain": true
},
{
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"creationHeight": 1137782,
"settlementHeight": 1137788,
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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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"additionalRegisters": {},
"spentTransactionId": "c7f91c9046f3a2f916946f63d1a99409b12c28d009f910ee5807e9614a1fecb9",
"mainChain": true
}
],
"size": 5715,
"isUnconfirmed": false
}