Transaction
ID: cd527a1ff9...9fb5
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
209.45 ERG
Tokens:
Loading assets...
Outputs (14)
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...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
209.46 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 786,965
Total coins transferred: 209.46 ERG
Fees: 0.0011 ERG
Fees per byte: 0.0000002 ERG
Raw Transaction Data
{
"id": "cd527a1ff95afe0ee9c67f2b0ea3b0ad3130a185cc2d601cf05a94b400d09fb5",
"blockId": "3211e243365c48178b5c0055324d2d3ebfae10d46a1b40114942bf4d159a1ebe",
"inclusionHeight": 973038,
"timestamp": 1680360625248,
"index": 3,
"globalIndex": 4988875,
"numConfirmations": 786965,
"inputs": [
{
"boxId": "140a1d16d7ca344db9f48d39c45d61587a756ae817305782e920d69072e07d51",
"value": 11000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f9dbb8cdb5bb1b07d234a288ccd58b6279c0863948aafbb4952444126b7fad52",
"outputTransactionId": "00544260d02f1f93e374987476a14319bdb474d09f0b70735f1843be474a5eb2",
"outputIndex": 0,
"outputGlobalIndex": 27933174,
"outputCreatedAt": 972992,
"outputSettledAt": 972996,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-67,102,62,43,69,125,66,119,20,61,66,-32,-38,-24,33,73,-18,15,41,-119,-44,14,-39,-97,67,86,78,-58,-10,-55,-33,-1)\n3: 1\n4: 0\n5: Coll(101,33,76,-91,63,-65,9,-64,-121,93,113,-10,127,40,-96,71,26,77,109,79,102,-61,-118,-28,123,106,65,126,100,95,104,-3)\n6: 7200\n7: Coll(-93,87,-80,5,86,-23,-23,60,104,-34,26,73,-30,-7,-41,-60,-110,93,-91,-62,118,103,2,-20,73,-79,-91,14,88,40,23,19)",
"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": "21oSXpSmAC6qpaSpnMff4uYgpsaCjJ6q8tnvnE3MGp5QjNrtqGSHjip4VcuDGGeuMVg1RH9dxfWhT4LwJZrnwBvTkztYv4wLTXRz8Cwr9ENigonokQBnQiT7d5GDyzuedPdYVKGezdqDWrL56BWRe9NZgP56x5r7kxw9koHjQFAJ9RJADQrUKyKnvyk9jHmK1auNUik23CMK2SxedeWg1HkEYhrdvucvfyJ6hJZqbMbhuh6uYY5XPXLfJuz6kNNnWXb7pv4FtoNZXnRbx4uZcVjYGLV88pETGTyCTpjK8e1VHxBTyY2zPF4efLnYxkvrG8YT31nn5ctrFtKtbDG5etZeomMT1f73aLS7Fu42cxhzvRouxL",
"assets": [
{
"tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
"index": 0,
"amount": 10,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e,549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1,307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea,97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247,0e83836f818a16766ac7490c5eee7abdc9357e6bb955641ff8ac56412bf576d0,7dc9b5fd90c4343d48baddc8a7df8b005dd25a2765dadcabd6bfdcc337bcc292,e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba,0ea77346ecd826701113ef3596670f85ec0d4a000d37a06a762ba14623f360f3,ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100,35f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[34643965366330376336366566626632366537323738306162656130633064353831663431623938343866356638356530653163656264333736306531383766,6572676f,63617264616e6f,396777575a475a675a68476a70315a4b4e51357274784e454c616d7a367472713974696744734b52793731626f577133467171,61646472317178776b6339756877303277766b677739716b7277327477657363756332737335337435796165646c307a6379656e326130793772656476676a78307430616c35367139646b797a773039356568386a77376c75616e326b68333871707733786773,0000000000065518,0000000000001036,0000000000061a80,61313134336538316335616234383561383037653666306637366166316464373063633533353962323965306231323239643065646665343930643333623637,6173736574317632356579656e667a7276366d653968773476637a6670726463747a79356564337839397032,32663232363531393761636634383066333566396532306639343339316164363765313136656166636263373163373433613538313436393165343662336636,00000000000ed8a0]"
},
"R6": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
}
},
{
"boxId": "f36a4954ef9d0f4df9c90931e0adb2c7c8af032e538883e0b8b344b7df4adacf",
"value": 209451766360,
"index": 1,
"spendingProof": "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",
"outputBlockId": "205bebc4b41eb45ae1f2e1304eadd3b1f79b35d7e664a22357ee880814b6a3a9",
"outputTransactionId": "4fa2765459e151df8f8fcc84b5fbfe59da4283f9a6c103995721524d7947a367",
"outputIndex": 12,
"outputGlobalIndex": 27929977,
"outputCreatedAt": 972910,
"outputSettledAt": 972914,
"ergoTree": "100304000e20b039e4445337697deaad703fc8d1fcb129c4577e8673394fa2403e54d484eeda0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-80,57,-28,68,83,55,105,125,-22,-83,112,63,-56,-47,-4,-79,41,-60,87,126,-122,115,57,79,-94,64,62,84,-44,-124,-18,-38)\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": "nB3L2PD3LSRBnqR67yQfE5ZFAez3ySUzwouks1yjB696YSzRZ3D9BdFDntw4DAfp7yXKXykxAYE9sSBXmv9PRH1znnAWZAwzb6NDK4pn1S7LTU3omgYnuabg7VkiFxqqdY3bqw7UXeHB4",
"assets": [
{
"tokenId": "a1143e81c5ab485a807e6f0f76af1dd70cc5359b29e0b1229d0edfe490d33b67",
"index": 0,
"amount": 3392372600,
"name": "Ergo-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c59e86ef9d0280de582d6266add18fca339a77dfb321268e83033fe47101dc4d",
"index": 1,
"amount": 499999786609999,
"name": "RST-Cardano-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4ed6449240d166b0e44c529b5bf06d210796473d3811b9aa0e15329599164c24",
"index": 2,
"amount": 44999999991000000,
"name": "RST-ADA.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
"index": 3,
"amount": 99999999979927920,
"name": "RSN.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "6eccf30dc9e6d40e20f8dddc3d66e7ee45c82216906a2bacf14be9da8a811309",
"value": 1100000,
"index": 0,
"outputBlockId": "e9281ffbb4be4b17869a79f353c926eb9a8db781db891b16f8ab6bbb226ef0ff",
"outputTransactionId": "2d6baff61607166b03da7c68eec2d3ea4611ff88cbf36d964f648f64f8c2cfb8",
"outputIndex": 0,
"ergoTree": "100504000400040004000402d802d601c2a7d602b2a5730000ea02d196830301937201c2b2a473010093c272027201938cb2db63087202730200018cb2db6308a77303000198b2e4c6a70510730400ade4c6a7041ad901030ecdee7203",
"address": "MZ4DGXjbMTDYv4wnEPCSzRGp3infV4oBqQvJhnnePTb61wYrGaS2oiNAbesgJphKS3v5tA3cqaEXUdgRP5EsKBihXwSSogs4RNVhhsYyQiYHoWNo3jB7Fm2DDQSVLJZCf41sd",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[03c236922914cf80be4b642b3ea02f532ceb120a82b7bc5b75a8c2b7dc70810a27,02b1d6b33c5ef442fa140d52352cab3e80780e98a44bcf6826604f100dbe2cbec8,0217b8b16c47f83c6e96324f4d65434cd77aca1ab969878ba8293b87001c4f216f,024df46a0f95903d15cc8c4f390bb3d0f97dee85273591a88575206baf2d54812e,03aa26adb6a56132f52c0919a351b738beee0d2a240d6b5a82eff27a0f662f3459,02d64bd38b103af945c5786dfbd63577779f49e7166e69f622dc5c243dcbbdbab9,024f0556828a51b54a2b17bf9d4cc4c7fd9faa3226513193ae0aeaf9075bad4aca,02a8b0cc627e16301030b1a74fc33d49dd364a2b818d5d25e02b4d9e3bfc1f4aac,03380c129ffb41ccc52dd58a128082ac381bb449ef67d230255eea284255998524,023605f5625c0f1099c5966a58a9291d7a546d432faeb99d88a99fa6b745b1fd31]"
},
"R5": {
"serializedValue": "10020e10",
"sigmaType": "Coll[SInt]",
"renderedValue": "[7,8]"
}
}
}
],
"outputs": [
{
"boxId": "441b65d189590f555488a005e00af9a44309cbed124810320206d94a785ea1e4",
"transactionId": "cd527a1ff95afe0ee9c67f2b0ea3b0ad3130a185cc2d601cf05a94b400d09fb5",
"blockId": "3211e243365c48178b5c0055324d2d3ebfae10d46a1b40114942bf4d159a1ebe",
"value": 300000,
"index": 0,
"globalIndex": 27934411,
"creationHeight": 973032,
"settlementHeight": 973038,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\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]]",
"renderedValue": "[5cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e]"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\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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"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1]"
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"index": 2,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\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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{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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"serializedValue": "1a0120307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea]"
}
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"index": 3,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\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]]",
"renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\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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"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0e83836f818a16766ac7490c5eee7abdc9357e6bb955641ff8ac56412bf576d0]"
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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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"index": 0,
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"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7dc9b5fd90c4343d48baddc8a7df8b005dd25a2765dadcabd6bfdcc337bcc292]"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\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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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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"serializedValue": "1a0120e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba]"
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{
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"transactionId": "cd527a1ff95afe0ee9c67f2b0ea3b0ad3130a185cc2d601cf05a94b400d09fb5",
"blockId": "3211e243365c48178b5c0055324d2d3ebfae10d46a1b40114942bf4d159a1ebe",
"value": 300000,
"index": 7,
"globalIndex": 27934418,
"creationHeight": 973032,
"settlementHeight": 973038,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\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": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200ea77346ecd826701113ef3596670f85ec0d4a000d37a06a762ba14623f360f3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0ea77346ecd826701113ef3596670f85ec0d4a000d37a06a762ba14623f360f3]"
}
},
"spentTransactionId": "14d6d954371730ef81a969652d8bbc98a288c4bd9279d9c7f314d6891daf19e5",
"mainChain": true
},
{
"boxId": "376e79e4c7e70bdd6decb638c0db2d70977bd3a5aa46ddcb876eaa5fd8bb2c26",
"transactionId": "cd527a1ff95afe0ee9c67f2b0ea3b0ad3130a185cc2d601cf05a94b400d09fb5",
"blockId": "3211e243365c48178b5c0055324d2d3ebfae10d46a1b40114942bf4d159a1ebe",
"value": 300000,
"index": 8,
"globalIndex": 27934419,
"creationHeight": 973032,
"settlementHeight": 973038,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\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": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100]"
}
},
"spentTransactionId": "0cb94ab70a1e11757b51e77ca456960ddacf7bde24197617c4ca88b969acfac2",
"mainChain": true
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{
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"value": 300000,
"index": 9,
"globalIndex": 27934420,
"creationHeight": 973032,
"settlementHeight": 973038,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\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": "EE7687i4URb4YuSGSQXPCb7yjKwPzLkrEB4u6kZdScqCkeY81qy66Mz69ohJQhx9whKit1dh7VuPpzSeuadba8PcuitfKL6xnBhHYHXc7Uf6i6tq8NkqfZi1HToyAbVPz4LgnGE9sDbJqgvtord736pvsVmdfmRmTvaEQ8VTDx7RoK71VhEXuwqZF2UjWdY3G3DpmdWPGKprtLg4kjB4ikRpYG9eG9rF33ucgQ1hHmu1UeAUXqhv9e2U7VfF2X6D9js7zc4FXJb1ct4H56eEgwLbKRDAegkHUmeH1TJSknxRqTP1W97E9b9tSRj8P3CEi58J7GzmoWVJUg1ZXmQGAHfFUvDVC6Kif9tNE9rwuvp43QzoFVHcNdNCXxpUhBs7FkKHaW8mBVxzMoXQnpekVVuFePqgNL5CDQ8CjbmwHCSkvbRyXifVr8bCqmxytfEiyGMVzAZjEu3TcoERSJYRt2QwsaJ4wCneFUbm7kvNJ9rDgJS9wzHGLKtbgVbh1STbRwp5Zo6TtvrnQkUkf2sMcnpeZn6LfQSQwdJXdXr",
"assets": [
{
"tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012035f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[35f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c]"
}
},
"spentTransactionId": "db5797650d344b401a5c03bee5e40461eb9506bb7abeec7fa64b3ff8bc66d734",
"mainChain": true
},
{
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"transactionId": "cd527a1ff95afe0ee9c67f2b0ea3b0ad3130a185cc2d601cf05a94b400d09fb5",
"blockId": "3211e243365c48178b5c0055324d2d3ebfae10d46a1b40114942bf4d159a1ebe",
"value": 300000,
"index": 10,
"globalIndex": 27934421,
"creationHeight": 973032,
"settlementHeight": 973038,
"ergoTree": "0008cd02d0b75bc997751195d143671cc10e8a590f25b987f2b2dd0d99cc5f48c6966d3d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d0b75b,1b1e24,...)))}",
"address": "9g6ytenZVgR3RXYqXUG3vRcXLhmd12VtUKCuecFqL1P18axCErM",
"assets": [
{
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"index": 0,
"amount": 4150,
"name": "Ergo-Token.V-test",
"decimals": 0,
"type": "EIP-004"
}
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"additionalRegisters": {
"R4": {
"serializedValue": "1a01202a481f55c10599d3dd17ce7496fd45e6eefeb36e5d596e028aa65b10d80e2d31",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2a481f55c10599d3dd17ce7496fd45e6eefeb36e5d596e028aa65b10d80e2d31]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
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"blockId": "3211e243365c48178b5c0055324d2d3ebfae10d46a1b40114942bf4d159a1ebe",
"value": 300000,
"index": 11,
"globalIndex": 27934422,
"creationHeight": 973032,
"settlementHeight": 973038,
"ergoTree": "0008cd03cc76f1074a4477cd378329c4e902ee6145add72e9c26c82b4f2255e768d48811",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cc76f1,d4ffcd,...)))}",
"address": "9i1rTxaZpLprUkVHpY4YNyooksLuouiKqZ2v1J5nf8xFTXBCVcB",
"assets": [
{
"tokenId": "a1143e81c5ab485a807e6f0f76af1dd70cc5359b29e0b1229d0edfe490d33b67",
"index": 0,
"amount": 400000,
"name": "Ergo-Token.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "dd4290d90fbccd519bf04bf78277e3011d30af5508e8239d03594f0f65ebb3a7",
"transactionId": "cd527a1ff95afe0ee9c67f2b0ea3b0ad3130a185cc2d601cf05a94b400d09fb5",
"blockId": "3211e243365c48178b5c0055324d2d3ebfae10d46a1b40114942bf4d159a1ebe",
"value": 209458066360,
"index": 12,
"globalIndex": 27934423,
"creationHeight": 973032,
"settlementHeight": 973038,
"ergoTree": "100304000e20b039e4445337697deaad703fc8d1fcb129c4577e8673394fa2403e54d484eeda0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-80,57,-28,68,83,55,105,125,-22,-83,112,63,-56,-47,-4,-79,41,-60,87,126,-122,115,57,79,-94,64,62,84,-44,-124,-18,-38)\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": "nB3L2PD3LSRBnqR67yQfE5ZFAez3ySUzwouks1yjB696YSzRZ3D9BdFDntw4DAfp7yXKXykxAYE9sSBXmv9PRH1znnAWZAwzb6NDK4pn1S7LTU3omgYnuabg7VkiFxqqdY3bqw7UXeHB4",
"assets": [
{
"tokenId": "a1143e81c5ab485a807e6f0f76af1dd70cc5359b29e0b1229d0edfe490d33b67",
"index": 0,
"amount": 3391968450,
"name": "Ergo-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c59e86ef9d0280de582d6266add18fca339a77dfb321268e83033fe47101dc4d",
"index": 1,
"amount": 499999786609999,
"name": "RST-Cardano-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4ed6449240d166b0e44c529b5bf06d210796473d3811b9aa0e15329599164c24",
"index": 2,
"amount": 44999999991000000,
"name": "RST-ADA.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
"index": 3,
"amount": 99999999979927920,
"name": "RSN.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "451262a9268115e18fea090ce52ab86b31d0d75217a44c4ae9df31ca65edfd26",
"mainChain": true
},
{
"boxId": "5d51eb30fdee966e628caa8b977815bb592184d4b410b4ddad1caf3dcdf09340",
"transactionId": "cd527a1ff95afe0ee9c67f2b0ea3b0ad3130a185cc2d601cf05a94b400d09fb5",
"blockId": "3211e243365c48178b5c0055324d2d3ebfae10d46a1b40114942bf4d159a1ebe",
"value": 1100000,
"index": 13,
"globalIndex": 27934424,
"creationHeight": 973032,
"settlementHeight": 973038,
"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": "5bd198c09d65c3a5a59c9cb5920303a60711590e2f583325c96847bace5380b6",
"mainChain": true
}
],
"size": 5507,
"isUnconfirmed": false
}