Transaction
ID: c2e22c2cd7...3c7d
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 796,926
Total coins transferred: 0.0132 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000588 ERG
Raw Transaction Data
{
"id": "c2e22c2cd7c2acdb3225f26cc41a1d0719f28aff1d5ee91442d4e0ef3fd43c7d",
"blockId": "67eab9bc81c26363df6ecc80aa351bc230ff6ab0372b5f3bdc29a9af46517af4",
"inclusionHeight": 974047,
"timestamp": 1680480940934,
"index": 3,
"globalIndex": 4994705,
"numConfirmations": 796926,
"inputs": [
{
"boxId": "a25478388b476d8e6024c4f951f1887ca259536e0c207246d1a41e5b272ad344",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "32a9c1f59fe7e97fa99cb5aa691064fff77ba066485b21772efdfe149caad535",
"outputTransactionId": "3784310ed4a2be12ece5a9cfb32ac2f8d31b26f6db948320a6e74db8f2f4bb79",
"outputIndex": 1,
"outputGlobalIndex": 27970518,
"outputCreatedAt": 974031,
"outputSettledAt": 974034,
"ergoTree": "101c04000e204e6d138296e90b6477526f2afac5e61ce1b2cf772bf9d78e558663a0926af5b004000200020004020400010004000400040004000400040604040402050205c8010500040204000400020004000400040204000400d80bd601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607c67205051ad608e67207d609957208b0e472078301027303d901093c0e0eb38c7209018c7209028301027304d60ab472097305b17209d60bb2a5730600957203d801d60cb2b5a5d9010c63d801d60ec6720c041a95e6720e93e4720e72047307730800d19683040193cbc2720ce4c6a7070e938cb2db6308720c730900018cb2db6308a7730a0001efae7206d9010d0e93720483010e720d93cbb3720ab27204730b00e4c6a7060ed801d60ccbc2720b9593720c7202d806d60db5a4d9010d6393c2a7c2720dd60eb1720dd60fb2db6501fe730c00d610e4c6720f0611d611b27210730d00d6129ab27210730e009d9cb27210730f00997eb1e4c6720f041a0573107311d19683080192c1720bb0ad720dd9011363c172137312d90113599a8c7213018c72130293b1b5720dd901136393e4c67213041a72047313ae7206d901130e9383010e7213720493e4c67205060ee4c6a7070e93b17206720e93cbb3720ab27204731400e4c6a7060e93e4c6a7051a83010e957208cbb2e472077315008301027316917e720e05958f7211721272117212d19683050193c5a7c57201938cb2db6308720b731700018cb2db6308a77318000193e4c6720b041a7204938cb2db6308b2a4731900731a0001b27204731b0093720ce4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\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]"
},
"R5": {
"serializedValue": "1a01206955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188]"
},
"R6": {
"serializedValue": "0e20bbde18d30b4a271774a00a2c0ae01da3d4251b67f628797ee7db15196ffc8d69",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbde18d30b4a271774a00a2c0ae01da3d4251b67f628797ee7db15196ffc8d69"
},
"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
}
},
{
"boxId": "b110f35aa12a4d79412bb9a5542387641d5c8c306fad8ccf0f0c12b6966a610b",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "32a9c1f59fe7e97fa99cb5aa691064fff77ba066485b21772efdfe149caad535",
"outputTransactionId": "4cf274eb13039265a43825a5af0e4c7711e6d790e1735f16a0d20bc6304dee80",
"outputIndex": 1,
"outputGlobalIndex": 27970522,
"outputCreatedAt": 974031,
"outputSettledAt": 974034,
"ergoTree": "101c04000e204e6d138296e90b6477526f2afac5e61ce1b2cf772bf9d78e558663a0926af5b004000200020004020400010004000400040004000400040604040402050205c8010500040204000400020004000400040204000400d80bd601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607c67205051ad608e67207d609957208b0e472078301027303d901093c0e0eb38c7209018c7209028301027304d60ab472097305b17209d60bb2a5730600957203d801d60cb2b5a5d9010c63d801d60ec6720c041a95e6720e93e4720e72047307730800d19683040193cbc2720ce4c6a7070e938cb2db6308720c730900018cb2db6308a7730a0001efae7206d9010d0e93720483010e720d93cbb3720ab27204730b00e4c6a7060ed801d60ccbc2720b9593720c7202d806d60db5a4d9010d6393c2a7c2720dd60eb1720dd60fb2db6501fe730c00d610e4c6720f0611d611b27210730d00d6129ab27210730e009d9cb27210730f00997eb1e4c6720f041a0573107311d19683080192c1720bb0ad720dd9011363c172137312d90113599a8c7213018c72130293b1b5720dd901136393e4c67213041a72047313ae7206d901130e9383010e7213720493e4c67205060ee4c6a7070e93b17206720e93cbb3720ab27204731400e4c6a7060e93e4c6a7051a83010e957208cbb2e472077315008301027316917e720e05958f7211721272117212d19683050193c5a7c57201938cb2db6308720b731700018cb2db6308a77318000193e4c6720b041a7204938cb2db6308b2a4731900731a0001b27204731b0093720ce4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\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": "1a0120307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea]"
},
"R5": {
"serializedValue": "1a01206955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188]"
},
"R6": {
"serializedValue": "0e208ac51661d34aa9ce594f8535999bdc3aa9e97e2951c9ef96bfee73ea689dba4c",
"sigmaType": "Coll[SByte]",
"renderedValue": "8ac51661d34aa9ce594f8535999bdc3aa9e97e2951c9ef96bfee73ea689dba4c"
},
"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
}
},
{
"boxId": "9b9e6c271affe284574419856b9c0a3014a153e7015997878bfb7bf2fc9c46ae",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "32a9c1f59fe7e97fa99cb5aa691064fff77ba066485b21772efdfe149caad535",
"outputTransactionId": "67f241ddcf026ab659b99e143555753ae84418963a7bda9cd65ebedae1452198",
"outputIndex": 1,
"outputGlobalIndex": 27970526,
"outputCreatedAt": 974031,
"outputSettledAt": 974034,
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\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"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01205cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e]"
},
"R5": {
"serializedValue": "1a01206955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188]"
},
"R6": {
"serializedValue": "0e2012e89dd0d38aba907964e4b93fc160e0897f09643ed19b2e83913ccfc9e7422a",
"sigmaType": "Coll[SByte]",
"renderedValue": "12e89dd0d38aba907964e4b93fc160e0897f09643ed19b2e83913ccfc9e7422a"
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"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
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{
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"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "32a9c1f59fe7e97fa99cb5aa691064fff77ba066485b21772efdfe149caad535",
"outputTransactionId": "775d9c27547fedac4af7fa5efda8c9ae113163d7e877761fdae3c5b405235a64",
"outputIndex": 1,
"outputGlobalIndex": 27970530,
"outputCreatedAt": 974031,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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{
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"name": "Ergo-RWT.V-test",
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"sigmaType": "Coll[Coll[SByte]]",
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
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"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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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]"
},
"R5": {
"serializedValue": "1a01206955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188]"
},
"R6": {
"serializedValue": "0e20feb8d8bb9eb4201431acfba49510cb697c3df9959a4027f7f1ac2a5145f2bf79",
"sigmaType": "Coll[SByte]",
"renderedValue": "feb8d8bb9eb4201431acfba49510cb697c3df9959a4027f7f1ac2a5145f2bf79"
},
"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
}
},
{
"boxId": "57422650be4606119ca951fc8d2afb5352bc98725c136dc1650c58e6b90e0659",
"value": 1100000,
"index": 5,
"spendingProof": null,
"outputBlockId": "32a9c1f59fe7e97fa99cb5aa691064fff77ba066485b21772efdfe149caad535",
"outputTransactionId": "9dff6215bd6b065d1ff73a5e52f08a627c39ab1e2ac846fca47814f3167830c6",
"outputIndex": 1,
"outputGlobalIndex": 27970538,
"outputCreatedAt": 974031,
"outputSettledAt": 974034,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\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": "1a0120549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1]"
},
"R5": {
"serializedValue": "1a01206955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188]"
},
"R6": {
"serializedValue": "0e20a69865e240c87bdfeaf5d2b84e620f488bab9a15e0c9f3da3bc8161fb1ff3b4b",
"sigmaType": "Coll[SByte]",
"renderedValue": "a69865e240c87bdfeaf5d2b84e620f488bab9a15e0c9f3da3bc8161fb1ff3b4b"
},
"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
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},
{
"boxId": "06c5642bc2dc182f9f6b55cd16505128afefca3ac8af574f822ce6bf36240be9",
"value": 1100000,
"index": 6,
"spendingProof": null,
"outputBlockId": "32a9c1f59fe7e97fa99cb5aa691064fff77ba066485b21772efdfe149caad535",
"outputTransactionId": "a65ca89bca50e0315bb5b87670e4c40a8f147e9312f4747378d98bd258ee3e1a",
"outputIndex": 1,
"outputGlobalIndex": 27970542,
"outputCreatedAt": 974031,
"outputSettledAt": 974034,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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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": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
},
"R5": {
"serializedValue": "1a01206955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188]"
},
"R6": {
"serializedValue": "0e204be642195bc8f55207c56a298edd35467d2ed8349a2cc3e679f02979a2e0262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "4be642195bc8f55207c56a298edd35467d2ed8349a2cc3e679f02979a2e0262d"
},
"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
}
},
{
"boxId": "f2db452709e305e42f5b70f21a5faff9100140aceee84693a8a9da5d97d6eb6e",
"value": 1100000,
"index": 7,
"spendingProof": null,
"outputBlockId": "32a9c1f59fe7e97fa99cb5aa691064fff77ba066485b21772efdfe149caad535",
"outputTransactionId": "abe4ea5bd0a17908fdda9272ea9a0b8b2b1a3ffeeee0479261e74920a886e016",
"outputIndex": 1,
"outputGlobalIndex": 27970546,
"outputCreatedAt": 974031,
"outputSettledAt": 974034,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
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"R4": {
"serializedValue": "1a012035f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[35f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188]"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "757f5a3d20e7b020b05826360eee16331d6595bad2ae95d72470745de2c4cb4d"
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"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
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{
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"value": 1100000,
"index": 8,
"spendingProof": null,
"outputBlockId": "32a9c1f59fe7e97fa99cb5aa691064fff77ba066485b21772efdfe149caad535",
"outputTransactionId": "d1582e6e1e128df32ffd61968103589509f520db9d5288c5a7dfb14830c03aea",
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"outputGlobalIndex": 27970550,
"outputCreatedAt": 974031,
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"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100]"
},
"R5": {
"serializedValue": "1a01206955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188]"
},
"R6": {
"serializedValue": "0e20419bd353963542b9db1922ed9c301537f38deca1c4208a9cb47687ac7973a990",
"sigmaType": "Coll[SByte]",
"renderedValue": "419bd353963542b9db1922ed9c301537f38deca1c4208a9cb47687ac7973a990"
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"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
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{
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"index": 9,
"spendingProof": null,
"outputBlockId": "32a9c1f59fe7e97fa99cb5aa691064fff77ba066485b21772efdfe149caad535",
"outputTransactionId": "f9a49ba2421679ed4f207eea264ea40f0a9c098aa0faec30a9d57c410eb36426",
"outputIndex": 1,
"outputGlobalIndex": 27970554,
"outputCreatedAt": 974031,
"outputSettledAt": 974034,
"ergoTree": "101c04000e204e6d138296e90b6477526f2afac5e61ce1b2cf772bf9d78e558663a0926af5b004000200020004020400010004000400040004000400040604040402050205c8010500040204000400020004000400040204000400d80bd601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607c67205051ad608e67207d609957208b0e472078301027303d901093c0e0eb38c7209018c7209028301027304d60ab472097305b17209d60bb2a5730600957203d801d60cb2b5a5d9010c63d801d60ec6720c041a95e6720e93e4720e72047307730800d19683040193cbc2720ce4c6a7070e938cb2db6308720c730900018cb2db6308a7730a0001efae7206d9010d0e93720483010e720d93cbb3720ab27204730b00e4c6a7060ed801d60ccbc2720b9593720c7202d806d60db5a4d9010d6393c2a7c2720dd60eb1720dd60fb2db6501fe730c00d610e4c6720f0611d611b27210730d00d6129ab27210730e009d9cb27210730f00997eb1e4c6720f041a0573107311d19683080192c1720bb0ad720dd9011363c172137312d90113599a8c7213018c72130293b1b5720dd901136393e4c67213041a72047313ae7206d901130e9383010e7213720493e4c67205060ee4c6a7070e93b17206720e93cbb3720ab27204731400e4c6a7060e93e4c6a7051a83010e957208cbb2e472077315008301027316917e720e05958f7211721272117212d19683050193c5a7c57201938cb2db6308720b731700018cb2db6308a77318000193e4c6720b041a7204938cb2db6308b2a4731900731a0001b27204731b0093720ce4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
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"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6955fca14d0eddc4dc4dcb53e9cdc363dfc5d3f683256ee38a52fb0333853188]"
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"R6": {
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"sigmaType": "Coll[SByte]",
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"outputGlobalIndex": 27971041,
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"ergoTree": "0008cd025cd03b3a066126f9c1d0b2b678506a1f56a488fa563ede6516cef131aaaf4eb0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5cd03b,992beb,...)))}",
"address": "9fDwJsEtcUpB4twb8mXjWScwm4WX1UeswqKwfkXUm2MiLWjxUvX",
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"type": "EIP-004"
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"ergoTree": "0008cd025cd03b3a066126f9c1d0b2b678506a1f56a488fa563ede6516cef131aaaf4eb0",
"ergoTreeConstants": "",
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"address": "9fDwJsEtcUpB4twb8mXjWScwm4WX1UeswqKwfkXUm2MiLWjxUvX",
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"name": "RSN.V-test",
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"outputTransactionId": "fb5a3e9969bc283bd1e10a09ecefa25963da427a6952360dee9a6781dec31517",
"outputIndex": 0,
"ergoTree": "101c040204000e20b039e4445337697deaad703fc8d1fcb129c4577e8673394fa2403e54d484eeda0101040204000402040404040400040004020402040204000400040004000e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20040404000400040204020400040004000400d801d601b2a473000095938cb2db63087201730100017302d17303d811d602db6308a7d603b27202730400d6048c720302d605b2a5730500d606db63087205d607b27206730600d6088c720702d609e4c6a70511d60ab17209d60be4c672050511d60cb1720bd60de4c6a70611d60eb27206730700d60f8c720e02d610b27202730800d6118c721002d6129683050193c27205c2a793e4c672050611720d938cb27206730900018cb27202730a0001938c7207018c720301938c720e018c721001959172047208d806d613e4c67205041ad6149a720a730bd61599720c730cd616c5a7d6179972047208d618b2a5730d00d196830c01721293b17213721493b47213730e7215e4c6a7041a93b27213721500721693720c721493b4720b730f7215720993b2720b7215007217939c7217b2720d73100099720f7211938cb2db6308721873110002721793cbc27218731293e4c67218041a83010e7216938cb2db6308b2a5731300731400017216d804d613e4c6a7041ad614e4c672050704d6159972087204d616b27209721400d19683040172129383010eb27213721400e4c67201041a939c7215b2720d731500997211720f959172167215968302019372169ab2720b7214007215937213e4c67205041ad803d617e4c67205041ad6189a72147316d61999720a731796830501937216721593b4721373187214b472177319721493b472137218720ab472177214721993b47209731a7214b4720b731b721493b472097218720ab4720b72147219",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6572676f,307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea,97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247,549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1,35f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c,7dc9b5fd90c4343d48baddc8a7df8b005dd25a2765dadcabd6bfdcc337bcc292,0e83836f818a16766ac7490c5eee7abdc9357e6bb955641ff8ac56412bf576d0,ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100,e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba,0ea77346ecd826701113ef3596670f85ec0d4a000d37a06a762ba14623f360f3,5cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e]"
},
"R5": {
"serializedValue": "110b00d00fd00fd00fd00fd00fd00fd00fd00fd00fd00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1000,1000,1000,1000,1000,1000,1000,1000,1000,1000]"
},
"R6": {
"serializedValue": "1104d00f8c010228",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,70,1,20]"
},
"R7": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
}
],
"outputs": [
{
"boxId": "fccddb57c816e7713365f1d5eeae713f080d82c0a10e2ee65fa91e464ed08a1e",
"transactionId": "c2e22c2cd7c2acdb3225f26cc41a1d0719f28aff1d5ee91442d4e0ef3fd43c7d",
"blockId": "67eab9bc81c26363df6ecc80aa351bc230ff6ab0372b5f3bdc29a9af46517af4",
"value": 11000000,
"index": 0,
"globalIndex": 27971043,
"creationHeight": 974045,
"settlementHeight": 974047,
"ergoTree": "1008040004000e20bd663e2b457d4277143d42e0dae82149ee0f2989d40ed99f43564ec6f6c9dfff040204000e2065214ca53fbf09c0875d71f67f28a0471a4d6d4f66c38ae47b6a417e645f68fd04c0700e20a357b00556e9e93c68de1a49e2f9d7c4925da5c2766702ec49b1a50e58281713d805d601e4c6a7041ad602b17201d603b4a573007202d604c2b2a5730100d605cb7204d196830301937202b17203afdc0c1d7201017203d901063c0e63d801d6088c720602ed9383010e8c720601e4c67208041a93c27208720495937205730296830201938cb2db6308b2a47303007304000173059299a373068cc7a70196830201aea4d901066393cbc272067307937205e4c6a7060e",
"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": "[0ea77346ecd826701113ef3596670f85ec0d4a000d37a06a762ba14623f360f3,307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea,5cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e,e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba,7dc9b5fd90c4343d48baddc8a7df8b005dd25a2765dadcabd6bfdcc337bcc292,549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1,97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247,35f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c,ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100,0e83836f818a16766ac7490c5eee7abdc9357e6bb955641ff8ac56412bf576d0]"
},
"R5": {
"serializedValue": "1a0c4065373034313537333534376632373034313765313963616630613532613333396263353739363139303061613361636131626133336535643332386138656466046572676f0763617264616e6f3339655a50546d6e387a7035474a374b5a77546f38634575784e64657a576159336842624c655769643745415a65647a6239744467616464723171787778706166677161736e64646b38657436656e30766e3734617767346a306e326e66656b366536326179777667637765646b3573327339326478376d7375746b33337a736c393275683875686168683330356e7a3770656b6a737a356c33377708000000000097ac20080000000000018448080000000000061a8040613131343365383163356162343835613830376536663066373661663164643730636335333539623239653062313232396430656466653439306433336236372c6173736574317632356579656e667a7276366d653968773476637a6670726463747a7935656433783939703240373863633335646130663334323162666336643833343636376536383632386466346532373331663365383666623031636266633463636466336336383136320800000000000edcbe",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[65373034313537333534376632373034313765313963616630613532613333396263353739363139303061613361636131626133336535643332386138656466,6572676f,63617264616e6f,39655a50546d6e387a7035474a374b5a77546f38634575784e64657a576159336842624c655769643745415a65647a62397444,616464723171787778706166677161736e64646b38657436656e30766e3734617767346a306e326e66656b366536326179777667637765646b3573327339326478376d7375746b33337a736c393275683875686168683330356e7a3770656b6a737a356c333777,000000000097ac20,0000000000018448,0000000000061a80,61313134336538316335616234383561383037653666306637366166316464373063633533353962323965306231323239643065646665343930643333623637,6173736574317632356579656e667a7276366d653968773476637a6670726463747a79356564337839397032,37386363333564613066333432316266633664383334363637653638363238646634653237333166336538366662303163626663346363646633633638313632,00000000000edcbe]"
},
"R6": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
},
"spentTransactionId": "438eeed1807d97d98ed88ea3aeef38f2eaab19feefe2707a1c87f310ea692c23",
"mainChain": true
},
{
"boxId": "de528205271def3f7111bc92f017bc80782e8d75f2dddf85b06ed78f51c3b350",
"transactionId": "c2e22c2cd7c2acdb3225f26cc41a1d0719f28aff1d5ee91442d4e0ef3fd43c7d",
"blockId": "67eab9bc81c26363df6ecc80aa351bc230ff6ab0372b5f3bdc29a9af46517af4",
"value": 1100000,
"index": 1,
"globalIndex": 27971044,
"creationHeight": 974045,
"settlementHeight": 974047,
"ergoTree": "0008cd025cd03b3a066126f9c1d0b2b678506a1f56a488fa563ede6516cef131aaaf4eb0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5cd03b,992beb,...)))}",
"address": "9fDwJsEtcUpB4twb8mXjWScwm4WX1UeswqKwfkXUm2MiLWjxUvX",
"assets": [
{
"tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
"index": 0,
"amount": 1826,
"name": "RSN.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "a8a4b5bfaa35fb0a0389c3ffc4d6c6fb3383eb7de6a0e55ab5a258c2b233fbe4",
"mainChain": true
},
{
"boxId": "f19064d80a6ffc0247687cc221158d7cffdee8fa4ce8b7b3d1b6d4b06f4a2875",
"transactionId": "c2e22c2cd7c2acdb3225f26cc41a1d0719f28aff1d5ee91442d4e0ef3fd43c7d",
"blockId": "67eab9bc81c26363df6ecc80aa351bc230ff6ab0372b5f3bdc29a9af46517af4",
"value": 1100000,
"index": 2,
"globalIndex": 27971045,
"creationHeight": 974045,
"settlementHeight": 974047,
"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": "8ca8051835cb60de74ca5aef1871432c6a7d12a2d616fc42cdf8b87b559a353a",
"mainChain": true
}
],
"size": 1870,
"isUnconfirmed": false
}