Transaction
ID: c671cb6b18...a181
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0971 ERG
Tokens:
147,000
Spent
Address:
Output transaction:
Settlement height:
Value:
5,515.05 ERG
Outputs (54)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001981632 ERG
Tokens:
1
3,000
Unspent
Address:
Settlement height:
Value:
0.0003 ERG
Tokens:
101.05
Unspent
Address:
Settlement height:
Value:
0.0003 ERG
Tokens:
30.34
Unspent
Address:
Settlement height:
Value:
0.0003 ERG
Tokens:
24.15
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5,515.05 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 599,195
Total coins transferred: 5,515.15 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000039 ERG
Raw Transaction Data
{
"id": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"inclusionHeight": 1170270,
"timestamp": 1704315455960,
"index": 2,
"globalIndex": 6398339,
"numConfirmations": 599195,
"inputs": [
{
"boxId": "651efca97ea495469cd4ffa7f45080c9b79000a92e34b4645e063464f7751c3d",
"value": 97100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "961593d1e09b47d9bc12679ce5336d38806812eb47748421a2bd06df140a660d",
"outputTransactionId": "4e5da2f2dbfd55b781a58882c75d79e3b610e5138b7b38a704d007483d003ce6",
"outputIndex": 0,
"outputGlobalIndex": 35732869,
"outputCreatedAt": 1170247,
"outputSettledAt": 1170250,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(116,10,-34,4,-124,-32,54,-90,67,53,-46,126,74,-59,90,113,82,-116,-114,51,28,-16,110,29,32,-66,-121,-25,35,49,93,63)\n7: 1\n8: 0\n9: Coll(-81,-112,106,-97,-6,111,91,-127,-104,114,-95,53,-30,-89,-90,-35,-43,34,114,-24,-114,15,25,-124,43,55,48,-3,-97,-74,84,119)\n10: 21600\n11: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
"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": "nzc6aD1QoVYS1tEcrd3mg9BCgVs2uXgniPUEiUewmjiR3pLKffy8giBSgHqF7Yxse6VFx64P2C4TFtagTzJBBy6kVUPtnAWR4nV4k8DfmFos3T71RtNssV22wbzfWY2419XckkLMwvRwmUNqjCZ7Mu7dcvRibVY97UAuuoftYS8NNTf4vZWNY3msMDitNUAq3NqkDbuJ4N9GcTVCpLWDb8kz1p4x7jT5RdrK9nQ6GvZE9YmTrtAZqdNYCxqNu92XSiwm19zgfuo1Tbc1ceMDMDTjpUEDf8aMqrrTnio5KwuiZafdwABMLaJs9aLxnrHBgqBTAC9MJoEWZjaVWQFe4cDKTMZn8JT6cpqrG26dN7e1CGvzko4tTJkPYhaUqcXaAYX7tYe34efCwTcEmhPPNbeaQNkwhWBhhU55isbHsKCGr3gYgMiuek6CjocMog9DdsT",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 147000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[70c8d865a9b97004bd98e4aadf6f8490622e1e50f53e784bcad91b9b6eb7fc83,caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10,a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d,82ff090b0137470ce672cc1fb216519b02f2ebf01adc70b985392261bd6bd607,ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916,fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c0,ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89,564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538,d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e,520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353,0135590074a422dbf9628efa2f1ab6672685a2a3e674e5e3c933b00131f26d6b,2a4ba526e6801bd7dc01a160728d5669d6e84791292df6a3779f02f30acb0c3e,a03285a3c28d07512bedcd472743f32a28cac9da8e82953b612049be437c19bf,28799c4e89d950c55255f347dd48f7459018b6481283088a8fc747b4cbd3d723,da1ff77fd16dc9b875a3d84da2c88d0fdbd10d643d5e1502f5429d53ad67c522,e73c92a4bdd71f59754d802ee86df64b6c4cd52c5c68cd2ff9051808c70ec86a,61c371314057cd6009ec43e6770dec8341ff567b211c51f965f4c23183758931,41c93d61e079d71aba8f8f7da69dadf22dd8b2264321a4142fcb3285584ecc89,dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb5,23e26f9b26aac85c91c516c91c0a9094cbb2faf015c0134887be717d90cd8684,aee832130322dc3cf9e2e640c501463ff6586d8e6b2c435cc0754294a74a60b5,70a69b88b8b38f43564f48c38cb822b93978d79287cbb259e63dd9b6e430664c,d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c,b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f,ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c,258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd,72ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec,986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0,600e35ff06d397cb810c9f6e7346b28678d06c5fb9677facebe8b059a7805b74,846d8afd7bc4950908f6556325caf0132829b780928b1a33805d23522c241432,0d62ae4ad5b5907dc643647e894fe970ff3d531c5789cb90c6231205146ac2ce,45aa534fdadb0f75022da43e0afcec1fc004f8a99b592216250cc7e6785f3877,f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd,6e6e0f51daa704f1bde8b5a5544b2a134b6f2df2e8fe20125c2e0a36ff70c661,392e37b9df549c88398f0324ab26450e307ec9d0d4defcc7f46950d9ad7e6ba1,ba23cf985feab652dfb450bf8129ba03e258c013e68bf3b3d73e4d4f7e637ba5,59f029d14b583fad4e2a4477a5f986a2dc22ab4abedda85f12a893dc1542473f,e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b,51937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca,2f5563ef0a39bf6ccbcc1a3de82e932b535ba4d56ceb8324bcddb3d87be02298,95a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e91,e3a498c234c7859c93d5f4f97ac4382622064809a0132da4427ab7d2806a212c,839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629,32a82b4b9918ca800b74488c470f2059fab246813f5b6be12715f93dea80e094,58f4c13466ce55ba30cc4978e3d9c36aa830b10f8b470a170d8e05805277f3df,7e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6,20c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f,8100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48,ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4]"
},
"R5": {
"serializedValue": "1a0c4065386236626263363230303939623930333538656335306332656330616263303832336439623131363265663038623265623136303465353166353536346339046572676f0763617264616e6f333967346b326e70727038345262673435657a4673516b44563242694353736e413452546d3164624b55674d52327138425674466761646472317179306b686e616b386e6e6e30797132667a66387066796b7066796c6478396c39787035616c6b6d32733865356c6c73746d71716b71307870396d3276777a363539306d3965397a6b6d677a7770763079363964673434646a3972736870366d6b370800000000001e847f080000000000018ab9080000000000005e5640386230386364643534343961393539326139653739373131643764373932343964376130336335333564313765666165653833653231366538306134346334624330346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733353235333465403233336439356332383833633430313133323532623334646336636439353038643038626338393037343062333264353831663434363364386339303639353708000000000011d139",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[65386236626263363230303939623930333538656335306332656330616263303832336439623131363265663038623265623136303465353166353536346339,6572676f,63617264616e6f,3967346b326e70727038345262673435657a4673516b44563242694353736e413452546d3164624b55674d5232713842567446,61646472317179306b686e616b386e6e6e30797132667a66387066796b7066796c6478396c39787035616c6b6d32733865356c6c73746d71716b71307870396d3276777a363539306d3965397a6b6d677a7770763079363964673434646a3972736870366d6b37,00000000001e847f,0000000000018ab9,0000000000005e56,38623038636464353434396139353932613965373937313164376437393234396437613033633533356431376566616565383365323136653830613434633462,30346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733353235333465,32333364393563323838336334303131333235326233346463366364393530386430386263383930373430623332643538316634343633643863393036393537,000000000011d139]"
},
"R6": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "5b854aee0fe53e93077630354d17bdbbc2550e82b2224be1f237c5fd9a050c6c",
"value": 5515048163605,
"index": 1,
"spendingProof": "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",
"outputBlockId": "e0ea36bed5337713861983cb17973d8058df337d75e5c3da1d23a56263f15ff4",
"outputTransactionId": "aef9f5668b1fb3206cbd8a16924729823107f5edcc30aeade7c5c4a05146e7a0",
"outputIndex": 55,
"outputGlobalIndex": 35733792,
"outputCreatedAt": 1170262,
"outputSettledAt": 1170266,
"ergoTree": "100304000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\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": "nB3L2PD3J4rMmyGk7nnNdESpPXxhPRQ4t1chF8LTXtceMQjKCEgL2pFjPY6cehGjyEFZyHEomBTFXZyqfonvxDozrTtK5JzatD8SdmcPeJNWPvdRb5UxEMXE4WQtpAFzt2veT8Z6bmoWN",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 11936644,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297",
"index": 1,
"amount": 1999256883,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "d7cefcec95c3a363beb6ca6d8da79f577b6354075d4045fd90a7ed989b807fa0",
"value": 100000000,
"index": 0,
"outputBlockId": "3550c75081b473faf2c55d20d62bd8b81212d59000401ea4dc24e65db615fc52",
"outputTransactionId": "7b668e8e6f94fcbdc89cc62afa5269b93daf0c9719bc9695f52175ec3a21813b",
"outputIndex": 0,
"ergoTree": "100804000400040004000400040004020402d802d601b2db6308b2a5730000730100d602b2db6308a7730200ea02d19683030193b1b5a4d9010363d801d605db63087203ed91b172057303938cb27205730400018cb2db6308a7730500017306938c7201018c720201938c7201028c72020298b2e4c6a70510730700ade4c6a7041ad901030ecdee7203",
"address": "3FBpC6dt4xNpexUbLSZDR4YbuMWwLyKDUjbnHPCQf6VpUfqqLGzQ6P6uKkfoF1Eudh9YSU9uTEwYYJ3J8hDERT2mhM6wvCciz4HvZPLMUtdjeg5mCtJMyi6Wy2wTeQQ6UxyuwKCNGxU669QN1HNz7MF5JMg1xy84cEFVcTCcU2rKqiYpHNotatUq6uP6K3fAraF",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[023f8413bfc4337f638d5cb4ed8061a19a585b7f8cc998e833da7bcce233259af1,03e463d7f39be38581653880cc0012786d1a9dca392915677e6752cc9340fee658,02a54073ef61346116d1b823443425bf5ac2598446e492373be2f3051538c6a970,03d243f910e893cbe9762c7d99253240e07656ffbc4c2df4c8cefdb929c138fdfe,02ccee7bdf8fa0177a040f4e2c38229a759c9b4868c7385c096a6e596631a15248,02a8ad3349dc0c6cd36d94665350a728feb8c0d0736220ff9526a86a1ff34a3ca8,03f5d16bbd6e604a5cd9dc39389613cd793a1410c7355532a6863ebb54ffda2786,037bd82a1cea0b7ffabd76beddbf33d0095acfe5a43d9a36482d141dd982102538,0356f30114e4a2ded498e2b75ea5f4e97100f94e137c8958446932f08de289cb92,0263470e93f98af66bab6a984e305374a4ca822d70364cc50289c3921d657b052d]"
},
"R5": {
"serializedValue": "10020c0e",
"sigmaType": "Coll[SInt]",
"renderedValue": "[6,7]"
}
}
}
],
"outputs": [
{
"boxId": "d3061f66a10d1b1a2308e25ecc9223fb85eb49db59ceed5282e347c2a226afd9",
"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"value": 1981632,
"index": 0,
"globalIndex": 35734570,
"creationHeight": 1170266,
"settlementHeight": 1170270,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012070c8d865a9b97004bd98e4aadf6f8490622e1e50f53e784bcad91b9b6eb7fc83",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[70c8d865a9b97004bd98e4aadf6f8490622e1e50f53e784bcad91b9b6eb7fc83]"
}
},
"spentTransactionId": "38920820744fdaef259350048e2ef26150343531df18b15e14761a504ddfca52",
"mainChain": true
},
{
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"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
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"index": 1,
"globalIndex": 35734571,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e2003838f52b85e8caa84bebdc4f53f22cdc66bd2ceab746649df01ed0983234839040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "A9fBWPAmCk62kmZS6amXrSsebAaLNC5GtYCTtAES6EZVJsTD8Eh55Uj2yrA1JRVTfgxC2WhtaySsfVqSV75ynUGfefCqjXyGfJQXXUxar58CoguBnnYh5FA8WQ3RRE1iRTN2uU2d5CTo5ZKBToJBo2zZz542WnUFFED1buQ3hBtQ9uF19siFLJYZzf2nFCQx6pnc4virbTGtiCRrebZ55LvSiNkhescDzo9m41Eyt15kZqfYxfkHF4UbN3QtCH9XdAUjYVhpZMXXp8B3SZJNCoxSJ5fZsemqmNpXY36QLvz4FHu1i87K3EUbdV95EoCndZ5U83PYVeXTL2m6ecgdg8p54pjHSRrqUpJ1tBftRKTZwPZQBgkubA87xH9ZqNUL9V1h6M7DMWf5fjy8WdrJn241xEbpazoX6T3iYtXsmQFuotekZz9REiWqnzp5RXhLE8m53ACmbE4poPUdAmMP4WsqRj5xgjjSUT5xHe38USwzNdoLWMGDqC3d9XGwjhYtVakSLmdC5dRNN6KC8nQU28iFgaGTnYMLemFcSMZiMcRJ2ZiGS2yMUvN6mL9L3yqczhYQAforvP2bof2zd5a3U3zKepfyhyXW7HpRiv7Cj5svTK3gZH24ot4hfHdEaXVxZ5Lk7y85XfzXfkVUrZHUpDfbQk4BGJ8q6L",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10]"
}
},
"spentTransactionId": "388a4260fbb87e27dd8f04f2479878a944af2e8919e75d6139e6143b0273c8b1",
"mainChain": true
},
{
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"index": 2,
"globalIndex": 35734572,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e2003838f52b85e8caa84bebdc4f53f22cdc66bd2ceab746649df01ed0983234839040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d]"
}
},
"spentTransactionId": "fed59b7ec7d6f401bca512002626d2fd744d63331e6f4f1ea2be03b7be5ab371",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012082ff090b0137470ce672cc1fb216519b02f2ebf01adc70b985392261bd6bd607",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[82ff090b0137470ce672cc1fb216519b02f2ebf01adc70b985392261bd6bd607]"
}
},
"spentTransactionId": "a9a0aa74988f4f228070b73a7e6e282f7f9832b23791cd274411d839fb9a36da",
"mainChain": true
},
{
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"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"value": 1981632,
"index": 4,
"globalIndex": 35734574,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916]"
}
},
"spentTransactionId": "a5104747a7e6f7654e7245fcacd14464cb3e0b54e96f813753cdb59d74badeb1",
"mainChain": true
},
{
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"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
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"index": 5,
"globalIndex": 35734575,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c0]"
}
},
"spentTransactionId": "f0b63d019a21614551c6aa1f49820995d0d653f3f21388ddb8c28500fab5d811",
"mainChain": true
},
{
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"value": 1981632,
"index": 6,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89]"
}
},
"spentTransactionId": "d5ef0bf69e84616e65c3bf28ab3398e2ca49c5999f120ebe97f3842156ab8f94",
"mainChain": true
},
{
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"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
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"index": 7,
"globalIndex": 35734577,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538]"
}
},
"spentTransactionId": "d4ef3ef9b22520fdb2a09425664baea6bbea56aa4fbc9e989ce1fe42543b2c8f",
"mainChain": true
},
{
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"index": 8,
"globalIndex": 35734578,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
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"index": 1,
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"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e]"
}
},
"spentTransactionId": "18203a0097712e031b02c72744bf5018c981a3fc48c89660da492969df432090",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353]"
}
},
"spentTransactionId": "f90f4dee5e96ee76f3f9989725dfff3964b3c84dfdd39be6a3062aa1d9c2f208",
"mainChain": true
},
{
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"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"value": 1981632,
"index": 10,
"globalIndex": 35734580,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200135590074a422dbf9628efa2f1ab6672685a2a3e674e5e3c933b00131f26d6b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0135590074a422dbf9628efa2f1ab6672685a2a3e674e5e3c933b00131f26d6b]"
}
},
"spentTransactionId": "adc8fc13d3ac018815d6dc62fc739fa403c8677e7770cdc085b69cf95d5fb8d8",
"mainChain": true
},
{
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"index": 11,
"globalIndex": 35734581,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01202a4ba526e6801bd7dc01a160728d5669d6e84791292df6a3779f02f30acb0c3e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2a4ba526e6801bd7dc01a160728d5669d6e84791292df6a3779f02f30acb0c3e]"
}
},
"spentTransactionId": "d40acb5ca70fe6a97711adef2e5039892f3a16fc2b5b9e0c6d9fdc80a069aad9",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a03285a3c28d07512bedcd472743f32a28cac9da8e82953b612049be437c19bf",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a03285a3c28d07512bedcd472743f32a28cac9da8e82953b612049be437c19bf]"
}
},
"spentTransactionId": "3fed40bbea2002d5766657d3543ef5a792902172961b7119857cccf94a89b07b",
"mainChain": true
},
{
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"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"value": 1981632,
"index": 13,
"globalIndex": 35734583,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "A9fBWPAmCk62kmZS6amXrSsebAaLNC5GtYCTtAES6EZVJsTD8Eh55Uj2yrA1JRVTfgxC2WhtaySsfVqSV75ynUGfefCqjXyGfJQXXUxar58CoguBnnYh5FA8WQ3RRE1iRTN2uU2d5CTo5ZKBToJBo2zZz542WnUFFED1buQ3hBtQ9uF19siFLJYZzf2nFCQx6pnc4virbTGtiCRrebZ55LvSiNkhescDzo9m41Eyt15kZqfYxfkHF4UbN3QtCH9XdAUjYVhpZMXXp8B3SZJNCoxSJ5fZsemqmNpXY36QLvz4FHu1i87K3EUbdV95EoCndZ5U83PYVeXTL2m6ecgdg8p54pjHSRrqUpJ1tBftRKTZwPZQBgkubA87xH9ZqNUL9V1h6M7DMWf5fjy8WdrJn241xEbpazoX6T3iYtXsmQFuotekZz9REiWqnzp5RXhLE8m53ACmbE4poPUdAmMP4WsqRj5xgjjSUT5xHe38USwzNdoLWMGDqC3d9XGwjhYtVakSLmdC5dRNN6KC8nQU28iFgaGTnYMLemFcSMZiMcRJ2ZiGS2yMUvN6mL9L3yqczhYQAforvP2bof2zd5a3U3zKepfyhyXW7HpRiv7Cj5svTK3gZH24ot4hfHdEaXVxZ5Lk7y85XfzXfkVUrZHUpDfbQk4BGJ8q6L",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012028799c4e89d950c55255f347dd48f7459018b6481283088a8fc747b4cbd3d723",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[28799c4e89d950c55255f347dd48f7459018b6481283088a8fc747b4cbd3d723]"
}
},
"spentTransactionId": "7fb3c7dc9a8aa4d4399cd495827d724b4d69c5b12556ed55e5d6f283b59cc464",
"mainChain": true
},
{
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"index": 14,
"globalIndex": 35734584,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120da1ff77fd16dc9b875a3d84da2c88d0fdbd10d643d5e1502f5429d53ad67c522",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[da1ff77fd16dc9b875a3d84da2c88d0fdbd10d643d5e1502f5429d53ad67c522]"
}
},
"spentTransactionId": "8f8e6a949da666fc6f47c12a0f7c5dcde20592b6e3e23ea1bec7a394cdeb85ce",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e73c92a4bdd71f59754d802ee86df64b6c4cd52c5c68cd2ff9051808c70ec86a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e73c92a4bdd71f59754d802ee86df64b6c4cd52c5c68cd2ff9051808c70ec86a]"
}
},
"spentTransactionId": "0aa24b3c00e5d55252647af0281a970959f09883fc26b30d9107f7312a496d89",
"mainChain": true
},
{
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"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
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"index": 16,
"globalIndex": 35734586,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012061c371314057cd6009ec43e6770dec8341ff567b211c51f965f4c23183758931",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[61c371314057cd6009ec43e6770dec8341ff567b211c51f965f4c23183758931]"
}
},
"spentTransactionId": "7d9e8df8fb24dba680246548368286c8e0e3bf50315994047d5dbacc2bc39f5e",
"mainChain": true
},
{
"boxId": "b9f2de6e15a8ff5abfb5f001ed22b47cfa0cfe7b7f6c93787e69d738dfb054ac",
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"index": 17,
"globalIndex": 35734587,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012041c93d61e079d71aba8f8f7da69dadf22dd8b2264321a4142fcb3285584ecc89",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[41c93d61e079d71aba8f8f7da69dadf22dd8b2264321a4142fcb3285584ecc89]"
}
},
"spentTransactionId": "5c7ecc2afc83a7455879338d02fb20b25e7af4c367fa4b18bbd86f45f5e9ccd3",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb5]"
}
},
"spentTransactionId": "bf29e9049428d8d92094ddf7c111551de164855d4efe371865c05eedb10812f8",
"mainChain": true
},
{
"boxId": "cb8e5098bc91a698341b6bd39d9ee64cc86c655f7891f10b50474ea632fdfce9",
"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"value": 1981632,
"index": 19,
"globalIndex": 35734589,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012023e26f9b26aac85c91c516c91c0a9094cbb2faf015c0134887be717d90cd8684",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[23e26f9b26aac85c91c516c91c0a9094cbb2faf015c0134887be717d90cd8684]"
}
},
"spentTransactionId": "5a5e9c546930cd8bdcef774c4b086f3f08300ec25923dcc98036291f5955f907",
"mainChain": true
},
{
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"index": 20,
"globalIndex": 35734590,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120aee832130322dc3cf9e2e640c501463ff6586d8e6b2c435cc0754294a74a60b5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[aee832130322dc3cf9e2e640c501463ff6586d8e6b2c435cc0754294a74a60b5]"
}
},
"spentTransactionId": "cee3973817128cb9a19429613699f700aea50176291a633fb1213b1c7d76a848",
"mainChain": true
},
{
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"index": 21,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012070a69b88b8b38f43564f48c38cb822b93978d79287cbb259e63dd9b6e430664c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[70a69b88b8b38f43564f48c38cb822b93978d79287cbb259e63dd9b6e430664c]"
}
},
"spentTransactionId": "90080a4cf57fc176c252a7c0b630bb08797697de4a9940b86d27e43063d98485",
"mainChain": true
},
{
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"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
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"index": 22,
"globalIndex": 35734592,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c]"
}
},
"spentTransactionId": "e6edcf3c5ad4f2b99fe80b2558973d2d6b6acb7084acf2f4248ae25ac0305208",
"mainChain": true
},
{
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"index": 23,
"globalIndex": 35734593,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
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"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f]"
}
},
"spentTransactionId": "a9c6c86fc3900a54dfcfdf51abc11bdc36d06e8d644ff584df245e11f19159f6",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c]"
}
},
"spentTransactionId": "9eb64d714544251ad647ca284f48f5578cd6c5fd96f0db3ebe7103da13cfbcc6",
"mainChain": true
},
{
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"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
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"index": 25,
"globalIndex": 35734595,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd]"
}
},
"spentTransactionId": "0aff2dade6d6f537cfdc43e98f26af5b26ef0591dc24eb919470c880ce929dea",
"mainChain": true
},
{
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"index": 26,
"globalIndex": 35734596,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
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"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
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"index": 1,
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"name": "RSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012072ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[72ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec]"
}
},
"spentTransactionId": "7ce4c02585d281ad678af9fe515aaaf5282d9fb505d0db1bca38c72205327ff5",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0]"
}
},
"spentTransactionId": "e78715110350a76a111f8b92d25938d0d35403c68a3a458fa0ad8f0b897555c1",
"mainChain": true
},
{
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"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
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"index": 28,
"globalIndex": 35734598,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120600e35ff06d397cb810c9f6e7346b28678d06c5fb9677facebe8b059a7805b74",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[600e35ff06d397cb810c9f6e7346b28678d06c5fb9677facebe8b059a7805b74]"
}
},
"spentTransactionId": "306fba3ffc6d229070ba45349f61b02303adf9080aea39ac1c29cf1aebacf037",
"mainChain": true
},
{
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"index": 29,
"globalIndex": 35734599,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
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"index": 1,
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"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120846d8afd7bc4950908f6556325caf0132829b780928b1a33805d23522c241432",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[846d8afd7bc4950908f6556325caf0132829b780928b1a33805d23522c241432]"
}
},
"spentTransactionId": "642de73bd62c8cf1fc6d0206e382c91091ba9c79f6ecb4162afab1e828ba9cca",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200d62ae4ad5b5907dc643647e894fe970ff3d531c5789cb90c6231205146ac2ce",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0d62ae4ad5b5907dc643647e894fe970ff3d531c5789cb90c6231205146ac2ce]"
}
},
"spentTransactionId": "6fce4d86ddfbd6a01f774326516b25f96ca523357caf51ae0b9926d4041c7c03",
"mainChain": true
},
{
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"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"value": 1981632,
"index": 31,
"globalIndex": 35734601,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012045aa534fdadb0f75022da43e0afcec1fc004f8a99b592216250cc7e6785f3877",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[45aa534fdadb0f75022da43e0afcec1fc004f8a99b592216250cc7e6785f3877]"
}
},
"spentTransactionId": "a69b7a7ee229f48faef36fdf722e04a365f1b5f9948df98e23e20636bb2dbc69",
"mainChain": true
},
{
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"globalIndex": 35734602,
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"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
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"index": 0,
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"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
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"index": 1,
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"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd]"
}
},
"spentTransactionId": "366b71e10696c7645cfaa0257e08514f057577b74dd2d4866295a592ca02fa19",
"mainChain": true
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01206e6e0f51daa704f1bde8b5a5544b2a134b6f2df2e8fe20125c2e0a36ff70c661",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6e6e0f51daa704f1bde8b5a5544b2a134b6f2df2e8fe20125c2e0a36ff70c661]"
}
},
"spentTransactionId": "d99e749efbb0f526430bde01e4011923b25802f0b2eddf4d4002b94303e14ecf",
"mainChain": true
},
{
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"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
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"index": 34,
"globalIndex": 35734604,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120392e37b9df549c88398f0324ab26450e307ec9d0d4defcc7f46950d9ad7e6ba1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[392e37b9df549c88398f0324ab26450e307ec9d0d4defcc7f46950d9ad7e6ba1]"
}
},
"spentTransactionId": "424797e79db10d5ae1f0f2e812ea5973b6f5df7e10c803f29b2c35f2efca9d28",
"mainChain": true
},
{
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"globalIndex": 35734605,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ba23cf985feab652dfb450bf8129ba03e258c013e68bf3b3d73e4d4f7e637ba5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ba23cf985feab652dfb450bf8129ba03e258c013e68bf3b3d73e4d4f7e637ba5]"
}
},
"spentTransactionId": "da9a64cbb0f1eca2918708076bb366dd228d416bc2d174a6c2118d4e449373f7",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012059f029d14b583fad4e2a4477a5f986a2dc22ab4abedda85f12a893dc1542473f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[59f029d14b583fad4e2a4477a5f986a2dc22ab4abedda85f12a893dc1542473f]"
}
},
"spentTransactionId": "09ea1c97d8a19778620213f7a2778831e083b3593674d0f705bf31231429650f",
"mainChain": true
},
{
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"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
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"index": 37,
"globalIndex": 35734607,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b]"
}
},
"spentTransactionId": "33107fff6212632add9bd115961aed7b166f71aabe890b3079c318cdd10e89dc",
"mainChain": true
},
{
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"globalIndex": 35734608,
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"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
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"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
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"index": 1,
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"name": "RSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012051937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[51937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca]"
}
},
"spentTransactionId": "6e837edda9aac3ca85c8fe19a2203bd05045122752fa272094a0abf7197a8993",
"mainChain": true
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{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01202f5563ef0a39bf6ccbcc1a3de82e932b535ba4d56ceb8324bcddb3d87be02298",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2f5563ef0a39bf6ccbcc1a3de82e932b535ba4d56ceb8324bcddb3d87be02298]"
}
},
"spentTransactionId": "2ad9f6abcc480c2de265d09eb3e80cdd0bb4bfda2ab3e6e79c6364d636c1ff61",
"mainChain": true
},
{
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"index": 40,
"globalIndex": 35734610,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e2003838f52b85e8caa84bebdc4f53f22cdc66bd2ceab746649df01ed0983234839040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012095a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e91",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[95a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e91]"
}
},
"spentTransactionId": "ecff58d84cec1a7c7e1657979fb0e886935c212a157f720119a48dd0ff815720",
"mainChain": true
},
{
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"index": 41,
"globalIndex": 35734611,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
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"index": 1,
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"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e3a498c234c7859c93d5f4f97ac4382622064809a0132da4427ab7d2806a212c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e3a498c234c7859c93d5f4f97ac4382622064809a0132da4427ab7d2806a212c]"
}
},
"spentTransactionId": "44ba9c54f2c9ed0f497467988a642d25de7fea64268d848f1ddea216f3bf7848",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629]"
}
},
"spentTransactionId": "9b4c1424e1bf9a682947d62e9b0912516d60aae91a26a039c4a443f476e0b6a9",
"mainChain": true
},
{
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"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
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"index": 43,
"globalIndex": 35734613,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012032a82b4b9918ca800b74488c470f2059fab246813f5b6be12715f93dea80e094",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[32a82b4b9918ca800b74488c470f2059fab246813f5b6be12715f93dea80e094]"
}
},
"spentTransactionId": "8be313e703107889666e6009f8e47e40a6e7d3bdf77a0b1969f77aef0bf99408",
"mainChain": true
},
{
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"index": 44,
"globalIndex": 35734614,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012058f4c13466ce55ba30cc4978e3d9c36aa830b10f8b470a170d8e05805277f3df",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[58f4c13466ce55ba30cc4978e3d9c36aa830b10f8b470a170d8e05805277f3df]"
}
},
"spentTransactionId": "518536b20d0783f3c0bc3cf5c70a7850204d6b4dbd854db63d42234044df3b2b",
"mainChain": true
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6]"
}
},
"spentTransactionId": "47183d78e9f0e43e3d403a3f2586e8664ebf85b7ded1a95eba030df5e3d6e881",
"mainChain": true
},
{
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"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
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"index": 46,
"globalIndex": 35734616,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012020c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[20c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f]"
}
},
"spentTransactionId": "044df49fd9da5d08820e9b57c1d45b229ad2fa3d37a0d3ec6efa90d5af77c215",
"mainChain": true
},
{
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"index": 47,
"globalIndex": 35734617,
"creationHeight": 1170266,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48]"
}
},
"spentTransactionId": "ded64932980a1531edf05b1f37553fac9a5d5d08750c7c8fdb2b8ea967f8f686",
"mainChain": true
},
{
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"creationHeight": 1170266,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(3,-125,-113,82,-72,94,-116,-86,-124,-66,-67,-60,-11,63,34,-51,-58,107,-46,-50,-85,116,102,73,-33,1,-19,9,-125,35,72,57)\n19: 2\n20: 0\n21: 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(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1443,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4]"
}
},
"spentTransactionId": "06eda819a6a2d67c3fe47115873192bd80228cc72bfa123db8fda0e9009a05af",
"mainChain": true
},
{
"boxId": "5a7bfc789f893cdc439bc143e1c438ddbc9eea135eef2c500335576f8b037368",
"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"value": 300000,
"index": 49,
"globalIndex": 35734619,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 6\n1: SigmaProp(ProveDlog(ECPoint(184ade,6460f0,...)))\n2: SigmaProp(ProveDlog(ECPoint(5568b8,d8af32,...)))\n3: SigmaProp(ProveDlog(ECPoint(b4948f,68b94a,...)))\n4: SigmaProp(ProveDlog(ECPoint(e23ebd,6a38ff,...)))\n5: SigmaProp(ProveDlog(ECPoint(e5dbac,32b186,...)))\n6: SigmaProp(ProveDlog(ECPoint(416af7,1d249e,...)))\n7: SigmaProp(ProveDlog(ECPoint(7c4e02,e1aeee,...)))\n8: SigmaProp(ProveDlog(ECPoint(938056,c6c543,...)))\n9: SigmaProp(ProveDlog(ECPoint(d3c8f1,1e42df,...)))\n10: SigmaProp(ProveDlog(ECPoint(d5aa4e,d44a7d,...)))",
"ergoTreeScript": "{atLeast(\n placeholder[Int](0), Coll[SigmaProp](\n placeholder[SigmaProp](1), placeholder[SigmaProp](2), placeholder[SigmaProp](3), placeholder[SigmaProp](4), placeholder[SigmaProp](5), placeholder[\n SigmaProp\n ](6), placeholder[SigmaProp](7), placeholder[SigmaProp](8), placeholder[SigmaProp](9), placeholder[SigmaProp](10)\n )\n)}",
"address": "HNJiaJVyw1qz5jgKrEemNwnJd2Mc5FJgsNTDMkMrx73pVyxcinng2m8cDyMktacXQjvBsvNoMxucxmme66RPeCAz9bV3fPFYPo4umKZVwkQosRktScyUvQ8o8PPe64K6fu5iFVCvMbjgi47q3CBQS42e9xDNa8xwVf35a6sL7sXMzDZVfgbo7S9F1ufKhDgC4nFuxucyJp1Q7TXQifbuorHEfACknKoXhyvS7ddHBXPFVdrDTWpi17HUsgZPZQGosjUjkHWHZRuBv8H73JwB3ifA2R8HSriN2xgNNZWE4sWYhvVdVQ6UiXxjD1yqKwABKg189v4chCgTFNd4qy6RVoMVJs17Fe1vxRN9eaMwAowi3ok1hLGjMSsinxKY8vHkRdXPTqLyUTDQVkZ8DrDfsbdoDYrqpybrUjsD6wBPGpqr13NqFbyW727FYwV8SoAnvDRbkcZ21EQ8u4HeYePgDdQMEMwqzqRUHgVY3evBtPfEELbQphjVTm1p5FkRcF5yuvREj72oG4xt3",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 101049,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120fabf41f01e02553234ee71975f9b03c22945d999826603c99528c786542f572f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fabf41f01e02553234ee71975f9b03c22945d999826603c99528c786542f572f]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "3affd5259aa77922870577ab075df22964fe194a433586e880f197e01bbf7be1",
"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"value": 300000,
"index": 50,
"globalIndex": 35734620,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "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",
"ergoTreeConstants": "0: 6\n1: SigmaProp(ProveDlog(ECPoint(596283,8442e2,...)))\n2: SigmaProp(ProveDlog(ECPoint(9a1787,13df4d,...)))\n3: SigmaProp(ProveDlog(ECPoint(6f0abe,f24735,...)))\n4: SigmaProp(ProveDlog(ECPoint(37c2ac,9853ba,...)))\n5: SigmaProp(ProveDlog(ECPoint(3a97ce,34c46c,...)))\n6: SigmaProp(ProveDlog(ECPoint(5a2369,a6e355,...)))\n7: SigmaProp(ProveDlog(ECPoint(7631ef,bd24b8,...)))\n8: SigmaProp(ProveDlog(ECPoint(a3c11c,855bc5,...)))\n9: SigmaProp(ProveDlog(ECPoint(f3c19c,e3a122,...)))\n10: SigmaProp(ProveDlog(ECPoint(fefff9,fecf6f,...)))",
"ergoTreeScript": "{atLeast(\n placeholder[Int](0), Coll[SigmaProp](\n placeholder[SigmaProp](1), placeholder[SigmaProp](2), placeholder[SigmaProp](3), placeholder[SigmaProp](4), placeholder[SigmaProp](5), placeholder[\n SigmaProp\n ](6), placeholder[SigmaProp](7), placeholder[SigmaProp](8), placeholder[SigmaProp](9), placeholder[SigmaProp](10)\n )\n)}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 30342,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "337242938d60368c9ae63ba6f13c97fd8aa7ab0abff4d93dcbaa74db95baf7da",
"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"value": 300000,
"index": 51,
"globalIndex": 35734621,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "0008cd03b1a7c9c96b492460a840b5cc5d90018f456c865edd298dd00ba9b94406e60100",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b1a7c9,2e70cc,...)))}",
"address": "9hp3fH6LkT5tkKqrYUXX4J2D1TEYcBht62RhU6EXnSXCdrBH5jQ",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 24150,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "5be88533304bf11c3d72573f318dd9ff4ad4371f96309e88fab1756dfb01472a",
"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"value": 5515046163637,
"index": 52,
"globalIndex": 35734622,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"ergoTree": "100304000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\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": "nB3L2PD3J4rMmyGk7nnNdESpPXxhPRQ4t1chF8LTXtceMQjKCEgL2pFjPY6cehGjyEFZyHEomBTFXZyqfonvxDozrTtK5JzatD8SdmcPeJNWPvdRb5UxEMXE4WQtpAFzt2veT8Z6bmoWN",
"assets": [
{
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"index": 0,
"amount": 11710396,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297",
"index": 1,
"amount": 1999256883,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "955c98e0a7f1eab0912d95680836a0bd894c4c5fb20511881993d332ae79808d",
"mainChain": true
},
{
"boxId": "d34318973f3d48792c6ef22fb2eccc1d14c11675a4e9d161d5a297441e305b25",
"transactionId": "c671cb6b18a822771db0f944a92160fc395bece9ad3f311f0c3d7a9cfa81a181",
"blockId": "1b4ed59620b69715e223f1af5a5a3a64b86143256bd5cdcbe78b1fc2915dc61a",
"value": 1100000,
"index": 53,
"globalIndex": 35734623,
"creationHeight": 1170266,
"settlementHeight": 1170270,
"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": "608fb5426ae9e3630c2ad5fec124b41b8d282e37bf0951e0b61548c331f52272",
"mainChain": true
}
],
"size": 28203,
"isUnconfirmed": false
}