Transaction
ID: f9b817e432...eeff
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.02 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.017579862 ERG
Tokens:
Loading assets...
Outputs (16)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
6
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
500
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.007789931 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.007789931 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 391,690
Total coins transferred: 0.037579862 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000151 ERG
Raw Transaction Data
{
"id": "f9b817e4329469f4e8d55677461ec18168cfed7a49a7e40ef6682fccc108eeff",
"blockId": "c26e524604353269bcb14e2406877cf4495f819b2f88f9a2e7aa443b61a02dd3",
"inclusionHeight": 1366333,
"timestamp": 1728057356122,
"index": 9,
"globalIndex": 7868235,
"numConfirmations": 391690,
"inputs": [
{
"boxId": "62d4073c4d38334391d1ed68b2417cba87d4fc66f37057e17e016555c3722e69",
"value": 20000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "b7d09c0bd0a42d34d22543a4f9dc7bbd0fe6bf672ed0876bd2f48835449463ab",
"outputTransactionId": "1bfb8c3b96bbb9d9f1870ff8eb3c6b621a16eead526116f299f54e10d381d778",
"outputIndex": 0,
"outputGlobalIndex": 43035163,
"outputCreatedAt": 1366221,
"outputSettledAt": 1366224,
"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(-4,-102,-51,94,3,-39,-41,109,-36,-118,116,-62,-119,-87,-86,-78,-16,41,73,72,-81,108,70,44,-80,-63,15,-13,101,-90,-110,30)\n10: 1\n11: 0\n12: 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)\n13: 10\n14: 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 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": "2gre6iiK4peqnxWfh9wyaVsuWs5wC6gHoAjF5HmSH6TP1pMwsbCNh4skCFNFVW3Xi8w9hRy4voUjMkkd4KwV1kxi9gznjuj9qHr8AabXM2Wvva2vxCCbfrHN8NQxWxHx53qGkjf9eX7otiU5PM4RdhHJEdmRFe8La66jsVWC3La2scCiK67zUBtfBGDN7DCniKti2s8pMUurRJm2Xbqmtua8b5SodgSLBUJ29i5HkdGTFqBeVqzUGunw9vKeTxDsZSi8WKsVa5K8MrSBSpftzx2UKyGPs3Fg1JGww4oZGoXXgT93jhwetQyNwP4ipVRJe8CG5AkmssX5zM4nuWAmakadfSeYSGsqrPzqvrMakHvR7Gsbfdq6WNYHByprfZNTp95dzgqLvHeR3wTxBFg6H11d1qTM6kaNXuNCPBLxWXA3DWhtnfCigiozVax9Hptm4evA7N8fyudJ2fpktCHysYK4ZBs6Zjt4842NGXN4n9wNtDwm5xc9tm3ZYvZEwkSw7ark",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 10000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20abe0425b218a2997c5dca1eaaa5fbf93c561da45c231a80044921cc7d5d2efdd",
"sigmaType": "Coll[SByte]",
"renderedValue": "abe0425b218a2997c5dca1eaaa5fbf93c561da45c231a80044921cc7d5d2efdd"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[35353731633466346430653364626161666566383036653935663766356536383166393261346566653662363135366231353932616636373962623931636165,6572676f,657468657265756d,39664a537a6b3950546b39786f3968707232565646674d634a33566656584c4a524e74446f7057707534504e6b3556524c6a69,307865613661353962636434383136643034386561303733316532393030373632323462623933623165,00000000017d7840,00000000000f4240,00000000004c4b40,35613337386336396434373138326632613238393639323935653564643161666466623838643462303435326461356632666630396533386563616534386332,307831643838633334393364353661316135663937366233626364316263643861656261373836663437,62303730646233313263643262336237326336393462363030343431313164373437646164353730653330356334396662623630643863333538633733316463,000000000014d8ba]"
},
"R6": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
}
},
{
"boxId": "468daeaaf917dd219639d3b5aa60236631770f9d6c64724fdbbe8ed7cb97ed1c",
"value": 17579862,
"index": 1,
"spendingProof": "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",
"outputBlockId": "a518582ed14828dce7c75a53164bf6a49aa4c9fce296b20355cc34ff78b87c27",
"outputTransactionId": "b657c1f8acd5928e32b7a5c3fd491f14946c94b1522879a596d42b78a7a8639f",
"outputIndex": 14,
"outputGlobalIndex": 43036991,
"outputCreatedAt": 1366315,
"outputSettledAt": 1366327,
"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": "5a378c69d47182f2a28969295e5dd1afdfb88d4b0452da5f2ff09e38ecae48c2",
"index": 0,
"amount": 134762270,
"name": "CTT-loen",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "0bf47c19e49944a38948c635c0aef93d89737aa68df5ad881b07c8f9a63e398d",
"index": 1,
"amount": 15623570230989,
"name": "wrADA-loen",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "7d6fc24cc6ee64cf00781741c44cf44925e01ad31e265f045adde4ac8cf2cc21",
"index": 2,
"amount": 9687500440656,
"name": "rsMdERC20-loen",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "72fe3ee5b95245b59a9056a56408c25ac23590b52322ca9040cc27adfa45105f",
"index": 3,
"amount": 717940,
"name": "rsMdToken-loen",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cd65864b3a64c1daa9b0632a64da2c764500bb08a32085b2cc9cafff27d7a38a",
"index": 4,
"amount": 9679664641,
"name": "rsFERC20-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "6a675f7eed88401791555a861ebf3cd054ac58477b6994a39119de4da56a96fe",
"index": 5,
"amount": 12500123653172,
"name": "rsEth-loen",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 6,
"amount": 28147699,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "9d9887f126735dbce60a4562eb2f8b19a9100f85a0cb1c88fd3963d7a39dec46",
"index": 7,
"amount": 781110870,
"name": "wrToken-loen",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "720991d79fd680a2b125a0706453a03ef3404b4bff8a59c1a45e8ba69d1f86a8",
"index": 8,
"amount": 1406235795,
"name": "DaToken-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "98bc813d77b8b938fddb08f75c5c686ffe38cf1d99a887f91403cc6f0c5c76bf",
"index": 9,
"amount": 15624614039653,
"name": "rsBTC-loen",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "0a3fc5b8acdadbcf3d708fde8a8389273dcb84afa98885ee8dfa369829125c42",
"index": 10,
"amount": 625000000000,
"name": "BgToken-loen",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "d34173c6e058faef2d197a984be528b002f991563a780d33566372d20e27f6ba",
"index": 11,
"amount": 1562500000,
"name": "rstMdToken",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "6210a801f4fbe487ca55594b0eaee96b9e440747b84f55d916d9c7dfdae5d622",
"index": 12,
"amount": 156023438,
"name": "ERSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "83794ad7097a19d023841f6d50b6ea97e7e68ffcb2e2997a48c53c6f916223d5",
"value": 1000000,
"index": 0,
"outputBlockId": "3186ab8bbb9913245be01a6ef4df6943250590189de54c1c5fa0f9b45920883c",
"outputTransactionId": "4cd201e142b46c6677a106da5755c52b70ddf26c37ec94c8abda00e26934a623",
"outputIndex": 0,
"ergoTree": "100804000400040004000400040004020402d802d601b2db6308b2a5730000730100d602b2db6308a7730200ea02d19683030193b1b5a4d9010363d801d605db63087203ed91b172057303938cb27205730400018cb2db6308a7730500017306938c7201018c720201938c7201028c72020298b2e4c6a70510730700ade4c6a7041ad901030ecdee7203",
"address": "3FBpC6dt4xNpexUbLSZDR4YbuMWwLyKDUjbnHPCQf6VpUfqqLGzQ6P6uKkfoF1Eudh9YSU9uTEwYYJ3J8hDERT2mhM6wvCciz4HvZPLMUtdjeg5mCtJMyi6Wy2wTeQQ6UxyuwKCNGxU669QN1HNz7MF5JMg1xy84cEFVcTCcU2rKqiYpHNotatUq6uP6K3fAraF",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"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": "021ac757bc4ed7288e3dfd8b4b87a3db781a7a4ddf585f575c4ef65154d0174d",
"transactionId": "f9b817e4329469f4e8d55677461ec18168cfed7a49a7e40ef6682fccc108eeff",
"blockId": "c26e524604353269bcb14e2406877cf4495f819b2f88f9a2e7aa443b61a02dd3",
"value": 2000000,
"index": 0,
"globalIndex": 43037190,
"creationHeight": 1366331,
"settlementHeight": 1366333,
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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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"index": 0,
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"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"index": 1,
"amount": 400,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209dbdb9a0a5771ace1c82377e1be7d174b9adab5ac901ef4b49eadff3638119e9",
"sigmaType": "Coll[SByte]",
"renderedValue": "9dbdb9a0a5771ace1c82377e1be7d174b9adab5ac901ef4b49eadff3638119e9"
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"spentTransactionId": "41900fd0b5b0b84f748c5bc15f009c7e61d27f04de5f38cd1f0104927902360f",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\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(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\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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"name": "eRWT-loen",
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"type": "EIP-004"
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"name": "RSN-loen",
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"sigmaType": "Coll[SByte]",
"renderedValue": "2299deb91a0e2742fbf8a9a42955692bf3191de895360a627880b6b2bf0d659c"
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"mainChain": true
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\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(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\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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{
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"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"name": "RSN-loen",
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],
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"sigmaType": "Coll[SByte]",
"renderedValue": "8421fafc5639ed064eb727bfd55123f7cdd78eb5ea836b3d57aa0d5756f87c2f"
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"mainChain": true
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\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(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\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,
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"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
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"index": 1,
"amount": 400,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0d2538e56f633cdda683ead0158051279f27cb54f04c1aea5fa051a40c537ed6"
}
},
"spentTransactionId": "ef8e0d02d44f23ae3115db9a8d392dfa492361a835e0f3c5d7c0b0f0500faf10",
"mainChain": true
},
{
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"index": 4,
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"creationHeight": 1366331,
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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(-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)\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(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\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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"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"amount": 400,
"name": "RSN-loen",
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}
],
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"sigmaType": "Coll[SByte]",
"renderedValue": "03e6a4624494e277c245a2a22f7ad415b3da48288d569a408bf90d4154584670"
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"mainChain": true
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\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(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\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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{
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"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"name": "RSN-loen",
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],
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"serializedValue": "0e203d95a7c12b5632c7bd76740b0bb9c09d2a7c9739a07266213a60c2211cbacc7d",
"sigmaType": "Coll[SByte]",
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"mainChain": true
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\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(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\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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"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
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"index": 1,
"amount": 400,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fa728c689eff123f8b552d68f920abc08772046b7f28a2d1d151f77e4ecebec5",
"sigmaType": "Coll[SByte]",
"renderedValue": "fa728c689eff123f8b552d68f920abc08772046b7f28a2d1d151f77e4ecebec5"
}
},
"spentTransactionId": "29bc89226c5b6dd34fe5c70de55efcc6c9bacdda080a477cc3614e738f751da6",
"mainChain": true
},
{
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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(-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)\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(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\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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"name": "eRWT-loen",
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"type": "EIP-004"
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"name": "RSN-loen",
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"sigmaType": "Coll[SByte]",
"renderedValue": "df3a6d4787157026b924d57e1dcecda36d33dc073e182adb62dd1abf9d5b6600"
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"spentTransactionId": "5625a011b4c7a599976f919bba173843857f7fafe653d0cdb3c6d150aeb79e06",
"mainChain": true
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\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(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\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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{
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"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"name": "RSN-loen",
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}
],
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"serializedValue": "0e20b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
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"mainChain": true
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{
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"type": "EIP-004"
},
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"name": "RSN-loen",
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}
],
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"sigmaType": "Coll[SByte]",
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}
},
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"mainChain": true
},
{
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"creationHeight": 1366331,
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"ergoTree": "0008cd0283729b7d284e528aceac69706af1221fbb345cd78e85e984c9bc8af23cdf3589",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(83729b,96d228,...)))}",
"address": "9fWxAoBqhzp2xYSH3Yx3gUQUQ4pVWBhrTMMXFdHTuoid1hUDCyd",
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],
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b5d6ac,d5b778,...)))}",
"address": "9hqtWjk4Jdy2DqunbfaDJGpdHRcxEsNLpGBpL5KNnc8pUMJNJTB",
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{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4e4e18,4c59d4,...)))}",
"address": "9f7YiJRETT14PzywFSWyHwzFstMhcpqAozVffewuQ4Mus6X7AFU",
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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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"name": "wrToken-loen",
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"type": "EIP-004"
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{
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"decimals": 3,
"type": "EIP-004"
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{
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"name": "rsBTC-loen",
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"type": "EIP-004"
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{
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"type": "EIP-004"
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{
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"name": "rstMdToken",
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"type": "EIP-004"
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"mainChain": true
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{
"boxId": "267a7f9ffaae05d11f90f7973911a0bf3f1ea74859575f0bbd1dbfe7a0de4de0",
"transactionId": "f9b817e4329469f4e8d55677461ec18168cfed7a49a7e40ef6682fccc108eeff",
"blockId": "c26e524604353269bcb14e2406877cf4495f819b2f88f9a2e7aa443b61a02dd3",
"value": 1100000,
"index": 15,
"globalIndex": 43037205,
"creationHeight": 1366331,
"settlementHeight": 1366333,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "8021366a93476b8aa0e10b225fd40ba9c0ef1277edfda960bf2350ce48cfac88",
"mainChain": true
}
],
"size": 7304,
"isUnconfirmed": false
}