Transaction
ID: c86affd6d6...531d
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.498553536 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
66.63 ERG
Tokens:
Loading assets...
Outputs (13)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
67.13 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 801,759
Total coins transferred: 67.14 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000185 ERG
Raw Transaction Data
{
"id": "c86affd6d6b8f895ea5194dc509cfae10a55ce6d86a3055dbf42295bbbdd531d",
"blockId": "226d6be826855e8a8f5ad7ff6de60213f1571fa77dc3a2ba2faec6ea81ceb78e",
"inclusionHeight": 961063,
"timestamp": 1678907192423,
"index": 71,
"globalIndex": 4902087,
"numConfirmations": 801759,
"inputs": [
{
"boxId": "13177feed3319232f50f3ac5d27d5ce54360ba1cc78bc0bc153e7fb73936c8b3",
"value": 9900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0c88535d94c60bbfedf35070965002e5b6784348e4ebcaf4a5347f8f8582f41b",
"outputTransactionId": "afc5c5bfb97b226e87ab5a60894613742662ce6d8737c6cc54e5951e9604f58b",
"outputIndex": 0,
"outputGlobalIndex": 27421697,
"outputCreatedAt": 961031,
"outputSettledAt": 961035,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-73,-16,-100,27,10,-105,77,102,-103,-87,89,58,40,104,8,-83,18,116,-113,-88,2,90,-71,-83,-53,36,55,94,3,-107,-8,21)\n3: 1\n4: 0\n5: Coll(55,8,14,-89,-110,92,64,121,101,-14,112,19,-2,102,-46,-25,-42,-110,-26,-115,-64,-34,-110,25,-17,-2,72,25,-50,-88,-57,-77)\n6: 7200\n7: Coll(106,26,12,-10,30,-60,20,-119,22,40,30,109,-126,-95,-47,122,96,-18,-41,-124,82,0,64,29,82,49,55,127,70,67,-70,103)",
"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)\n }), if (coll5 == placeholder[Coll[Byte]](2)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5), HEIGHT - placeholder[Int](6) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](7) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "21oSXpSmAC6qp2H72o1YW4D9Dxq3mSkee28gWAFqqd9NRTx15VHM6RwVxScoDnN4jiTegJvto6yK4rZDV788EKrJdoftYXVdQDaeakfgJJhLSfpJcadGZLLwJQkpoRJpesAgY8QfkuyLTkVNbNNshvsA4x3kfvPFDGDQfn8AdN6hJ1FnibRdcj3uY9NQTjjLWNGb1XNdUQyGv73qBJobfaRm9GyXzk9wUq54VhKdcxzTjzuJTtCCv2cxBXKup4EzEEXDNWLcfsD8bNknob5bmUDuTGszsPZHcwAwXgcqsxKvcki7KUs7d666iyu5fNgvFTx8B3D1ageWpAD5RcBbmfiGNEL9k7BnwWiP2pU5DwhJzWH3iU",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 9,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707,ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302,846f72637b75f4817eb3f6e8542cb2d92875cf1ddce0fd5b734fc7c9bb48ac60,e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c,101f5f0995d90c80a9491815571ed1c9fc5522922fa3bbccbd575d1aa7255f90,d206d6f37bc63fae26fbb591d5d4b60181db35fb712ae6dfa2c5faf0078d66eb,730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508,d4e03eda58a338f8f65b40de258407dbdbbd9b8ccca374f66be8d97e52c8a752,c1f5aa4b1a713396a63f556df49c70add93b3471cbca893c6146fce5a4b95e76]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[39376663393163363538336436316461373061383131656237313636363530653565313731666131326563353464383761393261393161383063376437616634,6572676f,63617264616e6f,39685a785633594e536662437153364745736573374468415653617476616f4e746473694e766b696d504747326338667a6b47,616464723171797267727068647379376c746132726165327075386870356d7732666e7076753873653030727861367a7a6d63347368346779666b646870776671386c6e68356c39353636336430396e337339637275746e63397977616d637671733565356d36,0000000000001141,00000000000007d0,00000000000000c8,35313763393162346561363830313636646464336636376232376230323734633230626264326165623832623630656166356266353437316233376636383461,6173736574317677756e30613532786a763574633278393277677236783370367133753466726e6d71387130,32356266336130646665346532383838663736663639376637643263356361326431356466343766366230366364303330313231363432613434383261363565,00000000000ea948]"
},
"R6": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "5c72d54f1165a22b4a777e218ef7dee0588b911059d7d5566fb2d4a218c23f17",
"value": 498553536,
"index": 1,
"spendingProof": "b9f3d6ee7cf48726e84678114aed417ad06977cb9566daa065d060ba876d1a53fb1412420c42acf77ac9eecc23b769692579634c0622bcb1aed4a1c2822caf61152d3881e3cd79433f62441b588a875d0ddd6ff57a896031b98b341cc894f3dd99bbabc70d65bfee135812ff0f2d7704cd3baf14f1607700eb774e799bd433e47994af12cd10d1d86e37768274860268cd1b20c330b167312fbf1782cf764b1dad47be053310b11e05f526b49046ccde00d7edb36173efb20e30f5bba72620e44d2e9bd2a6738143d5ff66c134c797727f1d7dee4f0a9c5e97f13329dcea955ce102abc0bb4c4fde981d76a76aa2aadb6aeea050c5cfb19900096f53614d7e83f5906f9ad6303c3b9a413a01131a4c6329cc845ae5e35f9e18025c0a4d0522e0e7d73296239a8d68881f31d161a932b9f351ad24c9445d78c8442bb06408d2c6644ae9469dd46d767bad4ee48709b88e8a5b22d7784fd3a8d31fb3ea403651b0bbd038dd1605426903b6d63dcb5b80def7cbaa6010167af2abd2e4922c8c5d103b5b396d56b63da820915a526cee6a22c3098e89e86bf061e8f0d0d35a5cc414",
"outputBlockId": "9d007a4e1c598045b9ae1cd829f45bd9452be9d15b9fe35a88f5a9167bac2ad7",
"outputTransactionId": "5d7b6589603e0c4effa535802a04708579499e332c87786babd9f41072e652d3",
"outputIndex": 0,
"outputGlobalIndex": 27423268,
"outputCreatedAt": 961054,
"outputSettledAt": 961056,
"ergoTree": "100304000e20a96b8049f0741c7255b60cf01954439d2e4b2d19ae7d8ebc688ecb190a33b5380400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-87,107,-128,73,-16,116,28,114,85,-74,12,-16,25,84,67,-99,46,75,45,25,-82,125,-114,-68,104,-114,-53,25,10,51,-75,56)\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": "nB3L2PD3LG4ydEj62n9aymRyPCEbkBdzaubgvCWDH2oxHxFBfAUy9GhWDvteDbbUh5qhXxnW8R46qmEiZfkej8gt4kZYvbeobZJADMrWXwFJTsZ17euEcoAp3KDk31Q26okFpgK9SKdi4",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a050763617264616e6f6761646472317139373779347334783337757a3463777775676e647170633933706d737366326c64303566356e676c6d6b66336b6a786d63643632397a7a6c7a3666356c3870326674777473716766343532676574707833356b6363733573347171666576327067073130303030303009323030303030303030333967376372356e3545487077416a6f595a70706a74575a663464754c434d46467a6f50736756364c744b447a5242634a324863",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,61646472317139373779347334783337757a3463777775676e647170633933706d737366326c64303566356e676c6d6b66336b6a786d63643632397a7a6c7a3666356c3870326674777473716766343532676574707833356b6363733573347171666576327067,31303030303030,323030303030303030,3967376372356e3545487077416a6f595a70706a74575a663464754c434d46467a6f50736756364c744b447a5242634a324863]"
}
}
},
{
"boxId": "6f4fdf2b53b544d6546e62908caf6179749148192b2ff78974d38469dce9b157",
"value": 1000000,
"index": 2,
"spendingProof": "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",
"outputBlockId": "69932561868da84f80eafe048d23c723dfe01937669d7e89708cde8d39bdc8f1",
"outputTransactionId": "6b61953c0fe875f791cd4e86a965311b74bf6d2ff59e84681d8b16f27b7afff3",
"outputIndex": 0,
"outputGlobalIndex": 27423005,
"outputCreatedAt": 961053,
"outputSettledAt": 961055,
"ergoTree": "100304000e20a96b8049f0741c7255b60cf01954439d2e4b2d19ae7d8ebc688ecb190a33b5380400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-87,107,-128,73,-16,116,28,114,85,-74,12,-16,25,84,67,-99,46,75,45,25,-82,125,-114,-68,104,-114,-53,25,10,51,-75,56)\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": "nB3L2PD3LG4ydEj62n9aymRyPCEbkBdzaubgvCWDH2oxHxFBfAUy9GhWDvteDbbUh5qhXxnW8R46qmEiZfkej8gt4kZYvbeobZJADMrWXwFJTsZ17euEcoAp3KDk31Q26okFpgK9SKdi4",
"assets": [
{
"tokenId": "517c91b4ea680166ddd3f67b27b0274c20bbd2aeb82b60eaf5bf5471b37f684a",
"index": 0,
"amount": 4011,
"name": "Rosen Test Wrap Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a050763617264616e6f67616464723171797267727068647379376c746132726165327075386870356d7732666e7076753873653030727861367a7a6d63347368346779666b646870776671386c6e68356c39353636336430396e337339637275746e63397977616d637671733565356d360332303004323030303339685a785633594e536662437153364745736573374468415653617476616f4e746473694e766b696d504747326338667a6b47",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,616464723171797267727068647379376c746132726165327075386870356d7732666e7076753873653030727861367a7a6d63347368346779666b646870776671386c6e68356c39353636336430396e337339637275746e63397977616d637671733565356d36,323030,32303030,39685a785633594e536662437153364745736573374468415653617476616f4e746473694e766b696d504747326338667a6b47]"
}
}
},
{
"boxId": "4e818bac77ec63a8988abe317556dab50fafcbcac6216b91c6963dc17fbd74b8",
"value": 66626173821,
"index": 3,
"spendingProof": "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",
"outputBlockId": "2bfd02338b6fcffbb8a9c0bc994c3946bf639b7586e213ac6db0539f8c241084",
"outputTransactionId": "eb86cffa9973d3d06fa7c4cd4f7e779d004a63708b6720fc70b96ec265d67962",
"outputIndex": 11,
"outputGlobalIndex": 27423504,
"outputCreatedAt": 961054,
"outputSettledAt": 961058,
"ergoTree": "100304000e20a96b8049f0741c7255b60cf01954439d2e4b2d19ae7d8ebc688ecb190a33b5380400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-87,107,-128,73,-16,116,28,114,85,-74,12,-16,25,84,67,-99,46,75,45,25,-82,125,-114,-68,104,-114,-53,25,10,51,-75,56)\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": "nB3L2PD3LG4ydEj62n9aymRyPCEbkBdzaubgvCWDH2oxHxFBfAUy9GhWDvteDbbUh5qhXxnW8R46qmEiZfkej8gt4kZYvbeobZJADMrWXwFJTsZ17euEcoAp3KDk31Q26okFpgK9SKdi4",
"assets": [
{
"tokenId": "fc6c2070eb004fc08fcde1514dee56b1d0587477748d8af647179b098f52f559",
"index": 0,
"amount": 6032016512,
"name": "RsADA",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "517c91b4ea680166ddd3f67b27b0274c20bbd2aeb82b60eaf5bf5471b37f684a",
"index": 1,
"amount": 49914428,
"name": "Rosen Test Wrap Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 2,
"amount": 9726470,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "350bff7491aa9bf828a922fd8f50df0191c6ae586cb077d84b9caef5dd96cfbc",
"value": 1100000,
"index": 0,
"outputBlockId": "a7aeaa064590253e9f07e63a64d86b5d08c9508f9da13ccac29723e98eb7a0d6",
"outputTransactionId": "e3f3794c3bfe63a88a2703a2588bce143bdc40fbd06bbdb469bbfaf00cf4eb35",
"outputIndex": 0,
"ergoTree": "100504000400040004000402d802d601c2a7d602b2a5730000ea02d196830301937201c2b2a473010093c272027201938cb2db63087202730200018cb2db6308a77303000198b2e4c6a70510730400ade4c6a7041ad901030ecdee7203",
"address": "MZ4DGXjbMTDYv4wnEPCSzRGp3infV4oBqQvJhnnePTb61wYrGaS2oiNAbesgJphKS3v5tA3cqaEXUdgRP5EsKBihXwSSogs4RNVhhsYyQiYHoWNo3jB7Fm2DDQSVLJZCf41sd",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0a2102db3849f655693c28e3c44ededd546c6c3267b6f90c0f9ad9785061c387ca2e69210249e1b4b331b93481cc812c024f1f8a198fe078895ad7f03ab890bd4e81fb590721020e106e606e70e426a19900f42f3210420f53498c9956106d30b1837596dbc4512102ddd718f3080a04c2e9f2016dc13153f65d64da83ccfea433139c89236476e2b72102e2c106d43c57936310f06d4fea9f6940dbf1c4e32cb99bdd7ac7b7714e54527121032bb38046b67ed49aa6f4d255bbe1c098ff2f7b682f9922a2a376862de266b16e2103c3374d06b092583835a3a93c7acbc6c449656881abff5d6b17df456a7f3d618b2102956d0fd87b81ebe8ea4763a64e126a548adef2eec3a9719683944100cb992bc52102b980e0cbb817f80163485aea9ce59c3d6249d510733002a9fc6843718a540b072103d7e6475ef5ceb9b0e9b0cad722c9cbfa3a13e8e94188ac963e11e4e66e9eaa2c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[02db3849f655693c28e3c44ededd546c6c3267b6f90c0f9ad9785061c387ca2e69,0249e1b4b331b93481cc812c024f1f8a198fe078895ad7f03ab890bd4e81fb5907,020e106e606e70e426a19900f42f3210420f53498c9956106d30b1837596dbc451,02ddd718f3080a04c2e9f2016dc13153f65d64da83ccfea433139c89236476e2b7,02e2c106d43c57936310f06d4fea9f6940dbf1c4e32cb99bdd7ac7b7714e545271,032bb38046b67ed49aa6f4d255bbe1c098ff2f7b682f9922a2a376862de266b16e,03c3374d06b092583835a3a93c7acbc6c449656881abff5d6b17df456a7f3d618b,02956d0fd87b81ebe8ea4763a64e126a548adef2eec3a9719683944100cb992bc5,02b980e0cbb817f80163485aea9ce59c3d6249d510733002a9fc6843718a540b07,03d7e6475ef5ceb9b0e9b0cad722c9cbfa3a13e8e94188ac963e11e4e66e9eaa2c]"
},
"R5": {
"serializedValue": "10020e10",
"sigmaType": "Coll[SInt]",
"renderedValue": "[7,8]"
}
}
}
],
"outputs": [
{
"boxId": "11849b157ed67463b742dd4a959bd70ea6b83bfd2f9e638e275a3213146fe68a",
"transactionId": "c86affd6d6b8f895ea5194dc509cfae10a55ce6d86a3055dbf42295bbbdd531d",
"blockId": "226d6be826855e8a8f5ad7ff6de60213f1571fa77dc3a2ba2faec6ea81ceb78e",
"value": 300000,
"index": 0,
"globalIndex": 27426068,
"creationHeight": 961057,
"settlementHeight": 961063,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 1,
"amount": 66,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
}
},
"spentTransactionId": "80035c71d66d905d72f82cd33bcc36bd1df2a90a091f94aab662864034a82859",
"mainChain": true
},
{
"boxId": "be912c9094b9e0e083793dc65056019bc41f0293d9dde290c2be12bf95e43bc5",
"transactionId": "c86affd6d6b8f895ea5194dc509cfae10a55ce6d86a3055dbf42295bbbdd531d",
"blockId": "226d6be826855e8a8f5ad7ff6de60213f1571fa77dc3a2ba2faec6ea81ceb78e",
"value": 300000,
"index": 1,
"globalIndex": 27426069,
"creationHeight": 961057,
"settlementHeight": 961063,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 1,
"amount": 66,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302]"
}
},
"spentTransactionId": "81bc2e6ff2723fc3aab5ce307afacb489634f0f1a85e446384040ec30456edb6",
"mainChain": true
},
{
"boxId": "6a0a40086ac2ae6734b337a8e3f24350e8aa51d37cbb0e27f027f33b8616aefa",
"transactionId": "c86affd6d6b8f895ea5194dc509cfae10a55ce6d86a3055dbf42295bbbdd531d",
"blockId": "226d6be826855e8a8f5ad7ff6de60213f1571fa77dc3a2ba2faec6ea81ceb78e",
"value": 300000,
"index": 2,
"globalIndex": 27426070,
"creationHeight": 961057,
"settlementHeight": 961063,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"creationHeight": 961057,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
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"creationHeight": 961057,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cc76f1,d4ffcd,...)))}",
"address": "9i1rTxaZpLprUkVHpY4YNyooksLuouiKqZ2v1J5nf8xFTXBCVcB",
"assets": [
{
"tokenId": "517c91b4ea680166ddd3f67b27b0274c20bbd2aeb82b60eaf5bf5471b37f684a",
"index": 0,
"amount": 200,
"name": "Rosen Test Wrap Token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "574a92ebcd35f24ad66b2fdab7527d79f3dc9178dc0bf4bae858feae35b945a8",
"transactionId": "c86affd6d6b8f895ea5194dc509cfae10a55ce6d86a3055dbf42295bbbdd531d",
"blockId": "226d6be826855e8a8f5ad7ff6de60213f1571fa77dc3a2ba2faec6ea81ceb78e",
"value": 67131227357,
"index": 11,
"globalIndex": 27426079,
"creationHeight": 961057,
"settlementHeight": 961063,
"ergoTree": "100304000e20a96b8049f0741c7255b60cf01954439d2e4b2d19ae7d8ebc688ecb190a33b5380400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-87,107,-128,73,-16,116,28,114,85,-74,12,-16,25,84,67,-99,46,75,45,25,-82,125,-114,-68,104,-114,-53,25,10,51,-75,56)\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": "nB3L2PD3LG4ydEj62n9aymRyPCEbkBdzaubgvCWDH2oxHxFBfAUy9GhWDvteDbbUh5qhXxnW8R46qmEiZfkej8gt4kZYvbeobZJADMrWXwFJTsZ17euEcoAp3KDk31Q26okFpgK9SKdi4",
"assets": [
{
"tokenId": "517c91b4ea680166ddd3f67b27b0274c20bbd2aeb82b60eaf5bf5471b37f684a",
"index": 0,
"amount": 49916239,
"name": "Rosen Test Wrap Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fc6c2070eb004fc08fcde1514dee56b1d0587477748d8af647179b098f52f559",
"index": 1,
"amount": 6032016512,
"name": "RsADA",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 2,
"amount": 9724470,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4028856b1f202818b70454bcd7e5c3a06c10457c8fca4068028a577fc23a4cd9",
"mainChain": true
},
{
"boxId": "727d8513cd92bf4a20e048664d413c55274dfbc908fca7c76e490fb37e70b748",
"transactionId": "c86affd6d6b8f895ea5194dc509cfae10a55ce6d86a3055dbf42295bbbdd531d",
"blockId": "226d6be826855e8a8f5ad7ff6de60213f1571fa77dc3a2ba2faec6ea81ceb78e",
"value": 1100000,
"index": 12,
"globalIndex": 27426080,
"creationHeight": 961057,
"settlementHeight": 961063,
"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": "07e623f5d86be26684460dc1116e952d4ad370a3b6d0cfce05fdce1a3dab3092",
"mainChain": true
}
],
"size": 5936,
"isUnconfirmed": false
}