Transaction
ID: 175a3b7b62...f369
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
211.6 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:
211.61 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 784,113
Total coins transferred: 211.62 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000185 ERG
Raw Transaction Data
{
"id": "175a3b7b62e55c781ac37039afe0e73ee4e7660e2c221c7740eb64743276f369",
"blockId": "fa70837bb375faedb678872e25af67add964d5860fbade317916eea8c51b1c31",
"inclusionHeight": 979516,
"timestamp": 1681139679932,
"index": 5,
"globalIndex": 5027397,
"numConfirmations": 784113,
"inputs": [
{
"boxId": "36d1345c110596fce5719f69a7c7d197780e43b28e5870140a82380d278d017c",
"value": 11000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "69a71541baa1a9c41434f80161c419c8c40c78ca067d5b673be2cbedf789945c",
"outputTransactionId": "6cb60120f6d420150f4978794d4a83787ec667a1ed8218460080a2fd7848fadf",
"outputIndex": 0,
"outputGlobalIndex": 28036625,
"outputCreatedAt": 976044,
"outputSettledAt": 976046,
"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": "[0e83836f818a16766ac7490c5eee7abdc9357e6bb955641ff8ac56412bf576d0,0ea77346ecd826701113ef3596670f85ec0d4a000d37a06a762ba14623f360f3,7dc9b5fd90c4343d48baddc8a7df8b005dd25a2765dadcabd6bfdcc337bcc292,e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba,5cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e,ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100,549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1,35f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c,97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247,307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[36343538613035303538323030613532656462663737313865343734336436613761343034643237323333656163393836623738666363313636323664333262,6572676f,63617264616e6f,3969324e4e6370674263667a36446d5679716d753863746b504141514c6b61346639526832554b563653466536374679324d4b,6164647231717930763673343566326863717a3634376a66773464356a766a64727864366b63767a766e72366837763434636d38357578686b33346d787870376865353472357a6377763833326e716c6b6b74637673396776657a7430667133716472796d6a66,0000000002faf080,000000000007a120,0000000000061a80,61313134336538316335616234383561383037653666306637366166316464373063633533353962323965306231323239643065646665343930643333623637,6173736574317632356579656e667a7276366d653968773476637a6670726463747a79356564337839397032,64373731656462393065663061653035633830353438376264333730626465383935363631386363323430306463633939613233333835356565373738646637,00000000000ee48b]"
},
"R6": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
}
},
{
"boxId": "455351308843ca66c6ab51eb2921e5bdc38647730fd88063382616f2a33260b6",
"value": 1500000,
"index": 1,
"spendingProof": "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",
"outputBlockId": "ea31dbaaa8a9b2497e05bd4d94430e843d4b30eb91dd712b228f28d047eb9b8e",
"outputTransactionId": "81d77c122fa0ab8d1e8374e3b2b51e3f379488b456bb340f5db20e3b86d36ed5",
"outputIndex": 0,
"outputGlobalIndex": 28032400,
"outputCreatedAt": 976017,
"outputSettledAt": 976019,
"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": 305800000,
"name": "Ergo-Token.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a050763617264616e6f67616464723171796d773665353039733933713472637467636173376577307732746864767563727a706d6e6e347a6a7a63667a633971643363756474636a3732777032716a786772786a6d303939356a397265776e78796e3672666c78346b3571677a6435356b06343030303030073330353830303033396665464e726e7a5261657a6a6b383262686a615956516e397a6f784339514842354d46615a72533971334e666766326a4448",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,616464723171796d773665353039733933713472637467636173376577307732746864767563727a706d6e6e347a6a7a63667a633971643363756474636a3732777032716a786772786a6d303939356a397265776e78796e3672666c78346b3571677a6435356b,343030303030,33303538303030,396665464e726e7a5261657a6a6b383262686a615956516e397a6f784339514842354d46615a72533971334e666766326a4448]"
}
}
},
{
"boxId": "0d46a3127149d373d3dc00492648d060d8d46838e3d31f52ffdf39d305ad0f3b",
"value": 211602706360,
"index": 2,
"spendingProof": "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",
"outputBlockId": "b36d8890467a8c750740a82449b3c643ee40d1295909dc9a96833fc865e96828",
"outputTransactionId": "093f9d4d89da593c6967c1e50e089af7040d01a7c36973297be2e7760e240ae3",
"outputIndex": 13,
"outputGlobalIndex": 28166079,
"outputCreatedAt": 979500,
"outputSettledAt": 979506,
"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": 6434855850,
"name": "Ergo-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c59e86ef9d0280de582d6266add18fca339a77dfb321268e83033fe47101dc4d",
"index": 1,
"amount": 499999081615899,
"name": "RST-Cardano-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4ed6449240d166b0e44c529b5bf06d210796473d3811b9aa0e15329599164c24",
"index": 2,
"amount": 44999999988200000,
"name": "RST-ADA.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
"index": 3,
"amount": 99999999979922340,
"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": "e818452f24fab7719e5015910979857f6f783094ead89afdcfad872c4fd90761",
"transactionId": "175a3b7b62e55c781ac37039afe0e73ee4e7660e2c221c7740eb64743276f369",
"blockId": "fa70837bb375faedb678872e25af67add964d5860fbade317916eea8c51b1c31",
"value": 300000,
"index": 0,
"globalIndex": 28166314,
"creationHeight": 979511,
"settlementHeight": 979516,
"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": [
{
"tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200e83836f818a16766ac7490c5eee7abdc9357e6bb955641ff8ac56412bf576d0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0e83836f818a16766ac7490c5eee7abdc9357e6bb955641ff8ac56412bf576d0]"
}
},
"spentTransactionId": "e5150bfd21efbea5fcd329339d893094db24a18da32b26167c376fb1419b2a70",
"mainChain": true
},
{
"boxId": "db06fb001b5ccf7d995e4cd23a099f2e624d5ec6b66caf736622c21dc0734584",
"transactionId": "175a3b7b62e55c781ac37039afe0e73ee4e7660e2c221c7740eb64743276f369",
"blockId": "fa70837bb375faedb678872e25af67add964d5860fbade317916eea8c51b1c31",
"value": 300000,
"index": 1,
"globalIndex": 28166315,
"creationHeight": 979511,
"settlementHeight": 979516,
"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": [
{
"tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
"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": "a7b24b30cb59ed1e8c8a826fd1293056ad2c298a79ad195fbe1c1d1630a22c60",
"mainChain": true
},
{
"boxId": "84cf0b042b118e2024265b99fa1fe0bb417a81fbdc925ce612ec2c9d411587ff",
"transactionId": "175a3b7b62e55c781ac37039afe0e73ee4e7660e2c221c7740eb64743276f369",
"blockId": "fa70837bb375faedb678872e25af67add964d5860fbade317916eea8c51b1c31",
"value": 300000,
"index": 2,
"globalIndex": 28166316,
"creationHeight": 979511,
"settlementHeight": 979516,
"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": [
{
"tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207dc9b5fd90c4343d48baddc8a7df8b005dd25a2765dadcabd6bfdcc337bcc292",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7dc9b5fd90c4343d48baddc8a7df8b005dd25a2765dadcabd6bfdcc337bcc292]"
}
},
"spentTransactionId": "472c54704239b92c203d0529ec21d8c3276cd00082da96ec816903d1951350f0",
"mainChain": true
},
{
"boxId": "04bfea8f33a226095726416a11edc7f06ff20c57e3b6b27a2af58ab32398ed12",
"transactionId": "175a3b7b62e55c781ac37039afe0e73ee4e7660e2c221c7740eb64743276f369",
"blockId": "fa70837bb375faedb678872e25af67add964d5860fbade317916eea8c51b1c31",
"value": 300000,
"index": 3,
"globalIndex": 28166317,
"creationHeight": 979511,
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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": "[e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba]"
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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": "1a01205cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e]"
}
},
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{
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"index": 5,
"globalIndex": 28166319,
"creationHeight": 979511,
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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}",
"address": "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",
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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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"additionalRegisters": {
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"serializedValue": "1a0120ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100]"
}
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"index": 6,
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"creationHeight": 979511,
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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": "[549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1]"
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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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"name": "Ergo-RWT.V-test",
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"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[35f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c]"
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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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"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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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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"index": 0,
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"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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"serializedValue": "1a0120307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea",
"sigmaType": "Coll[Coll[SByte]]",
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d0b75b,1b1e24,...)))}",
"address": "9g6ytenZVgR3RXYqXUG3vRcXLhmd12VtUKCuecFqL1P18axCErM",
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{
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{
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"index": 1,
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"name": "RSN.V-test",
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"type": "EIP-004"
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"R4": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[85db3bf56b3689733b425ae1fa78e7be1fba4453236b933f7ab4afdc93036391]"
}
},
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"mainChain": true
},
{
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"index": 11,
"globalIndex": 28166325,
"creationHeight": 979511,
"settlementHeight": 979516,
"ergoTree": "0008cd03cc76f1074a4477cd378329c4e902ee6145add72e9c26c82b4f2255e768d48811",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cc76f1,d4ffcd,...)))}",
"address": "9i1rTxaZpLprUkVHpY4YNyooksLuouiKqZ2v1J5nf8xFTXBCVcB",
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{
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"index": 0,
"amount": 400000,
"name": "Ergo-Token.V-test",
"decimals": 0,
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],
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"mainChain": true
},
{
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"creationHeight": 979511,
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"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3LSRBnqR67yQfE5ZFAez3ySUzwouks1yjB696YSzRZ3D9BdFDntw4DAfp7yXKXykxAYE9sSBXmv9PRH1znnAWZAwzb6NDK4pn1S7LTU3omgYnuabg7VkiFxqqdY3bqw7UXeHB4",
"assets": [
{
"tokenId": "a1143e81c5ab485a807e6f0f76af1dd70cc5359b29e0b1229d0edfe490d33b67",
"index": 0,
"amount": 6739755850,
"name": "Ergo-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c59e86ef9d0280de582d6266add18fca339a77dfb321268e83033fe47101dc4d",
"index": 1,
"amount": 499999081615899,
"name": "RST-Cardano-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4ed6449240d166b0e44c529b5bf06d210796473d3811b9aa0e15329599164c24",
"index": 2,
"amount": 44999999988200000,
"name": "RST-ADA.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
"index": 3,
"amount": 99999999979922320,
"name": "RSN.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
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"spentTransactionId": "7a315feacc965112eb62abe3b34defea7fbc7df85ba6e722d133d4667c5a3c9d",
"mainChain": true
},
{
"boxId": "cb360bec4ed97c2980314fb958e68be7b2cb02fd91e3323f03f95d44b76c1265",
"transactionId": "175a3b7b62e55c781ac37039afe0e73ee4e7660e2c221c7740eb64743276f369",
"blockId": "fa70837bb375faedb678872e25af67add964d5860fbade317916eea8c51b1c31",
"value": 1100000,
"index": 13,
"globalIndex": 28166327,
"creationHeight": 979511,
"settlementHeight": 979516,
"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": "b7c10358c6c58246b3576120905111c645dd3a6d8cc32f838091b8fde321d712",
"mainChain": true
}
],
"size": 5961,
"isUnconfirmed": false
}