Transaction
ID: ca547049f7...8934
Inputs (11)
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:
0.0099 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: 772,422
Total coins transferred: 0.0121 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000622 ERG
Raw Transaction Data
{
"id": "ca547049f718348657f92ad2d3f5add8ff552be79cedc5d91faa584f94ed8934",
"blockId": "87e6798e71276b5228b9a09d9913914d59705d53cbf1752054b8fc89770b8b9e",
"inclusionHeight": 991692,
"timestamp": 1682619872369,
"index": 4,
"globalIndex": 5108163,
"numConfirmations": 772422,
"inputs": [
{
"boxId": "47037a24fd7b092ba410b9420e4367a1aba6dfb297dd0a3d42d6655b4d7150e0",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7b8aa5cb17d792406919db635c92e9ff22bea2b9ae7e1b426b2fa7be92ad30b8",
"outputTransactionId": "19d582fbef1ac7b4c12d1c1800e869f9b83c99b33814ca9e187c7487e5c6abd9",
"outputIndex": 1,
"outputGlobalIndex": 28626909,
"outputCreatedAt": 991677,
"outputSettledAt": 991680,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0]"
},
"R5": {
"serializedValue": "1a0120a5e31b0c8396a0b0696bb0563e556bfc5dea9556bc1a79fd02207723d409929d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a5e31b0c8396a0b0696bb0563e556bfc5dea9556bc1a79fd02207723d409929d]"
},
"R6": {
"serializedValue": "0e205bc4e215303ed7d59506017c5bb565e7f90d11962669ca2a5619ccc29446101c",
"sigmaType": "Coll[SByte]",
"renderedValue": "5bc4e215303ed7d59506017c5bb565e7f90d11962669ca2a5619ccc29446101c"
},
"R7": {
"serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
}
}
},
{
"boxId": "6f07779376e8ed08cc46e4a0768ffac6591d511c2ad4dfd844271e6e371f189e",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "7b8aa5cb17d792406919db635c92e9ff22bea2b9ae7e1b426b2fa7be92ad30b8",
"outputTransactionId": "1ae32182d9222abf5ab1d558cf118a4c6d1da368d03024956bdf433d3670d9d4",
"outputIndex": 1,
"outputGlobalIndex": 28626913,
"outputCreatedAt": 991677,
"outputSettledAt": 991680,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f]"
},
"R5": {
"serializedValue": "1a0120a5e31b0c8396a0b0696bb0563e556bfc5dea9556bc1a79fd02207723d409929d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a5e31b0c8396a0b0696bb0563e556bfc5dea9556bc1a79fd02207723d409929d]"
},
"R6": {
"serializedValue": "0e20cbb7505c9dc4e32672b6ae0ee4bd424b03c6c3cacef069ed879aaf968e12fc20",
"sigmaType": "Coll[SByte]",
"renderedValue": "cbb7505c9dc4e32672b6ae0ee4bd424b03c6c3cacef069ed879aaf968e12fc20"
},
"R7": {
"serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
}
}
},
{
"boxId": "b2650930ac8d619d62852bfd668d924ce4de8a890e8f8e4bf20c14123d0277af",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "7b8aa5cb17d792406919db635c92e9ff22bea2b9ae7e1b426b2fa7be92ad30b8",
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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 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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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 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639]"
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"renderedValue": "[a5e31b0c8396a0b0696bb0563e556bfc5dea9556bc1a79fd02207723d409929d]"
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"R6": {
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"sigmaType": "Coll[SByte]",
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
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{
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"index": 5,
"spendingProof": null,
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"outputTransactionId": "58df1c49cb5cb245d46a574278d593b1c598734f1592914e8f5830246b8e6d8f",
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"name": "Cardano-RWT.V-test2",
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"type": "EIP-004"
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
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"spendingProof": null,
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{
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"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb]"
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"R6": {
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
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"spendingProof": null,
"outputBlockId": "7b8aa5cb17d792406919db635c92e9ff22bea2b9ae7e1b426b2fa7be92ad30b8",
"outputTransactionId": "eadb7bb311d9c3e2070941294a301769ad5b36cc56ac41abd772df3eee4e4482",
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"name": "Cardano-RWT.V-test2",
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"type": "EIP-004"
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7]"
},
"R5": {
"serializedValue": "1a0120a5e31b0c8396a0b0696bb0563e556bfc5dea9556bc1a79fd02207723d409929d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a5e31b0c8396a0b0696bb0563e556bfc5dea9556bc1a79fd02207723d409929d]"
},
"R6": {
"serializedValue": "0e20297bed28f34daca8b3eece22376273e8b6dfed1f8ac39d96413e62bc8ae849fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "297bed28f34daca8b3eece22376273e8b6dfed1f8ac39d96413e62bc8ae849fb"
},
"R7": {
"serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
}
}
},
{
"boxId": "cb94ffaf3d0521bfbd7514e0771bc7ea7ce0cb507194e9fc6d49be4ccba6d3a4",
"value": 1100000,
"index": 9,
"spendingProof": "4455af30d6fd44a0835a07719bddf28d26f046a8a07411a587ebc32f3d4a84aa64dea8491f9bff45210f33d8ea97c9f9352599f0ec70b5e7",
"outputBlockId": "150910fe619e01bf2c7a85e627ff416e16456dde5d67cd6767270286578540a2",
"outputTransactionId": "5bad0e9ebf1affdc4fd54a50ec8813df89abf559bf479e3407df8ab190287dbf",
"outputIndex": 3,
"outputGlobalIndex": 28570206,
"outputCreatedAt": 989950,
"outputSettledAt": 989952,
"ergoTree": "0008cd0201fc3177c60357de990b5618f8dcd25def70badca0976e0c5ddf09e7f154c47c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1fc317,864193,...)))}",
"address": "9eXwDrkUabEZ7gZN28kZQoojoam85eX4MaFYHknVCvEN6aMmBNb",
"assets": [
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 0,
"amount": 24097,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "c0b777d548d7bc641b9ed8a9e4c6566ed4d4125d2d8771221bc184a8e14e839c",
"value": 1100000,
"index": 10,
"spendingProof": "beef84713614c186a48825a07eea038fd485448027837d541df236265f43b1af86fcbe63d008bf1fc2eb74c40bc6b1d4337d39a9fcbb6be5",
"outputBlockId": "9c5343b4b9f557e59011af2c644dd420578c15703c423de4498e37dbe3754bdf",
"outputTransactionId": "244f266cfba730b091c64d7049e6cb68c0e6abe8934ecc71e2493a294c7f8cee",
"outputIndex": 3,
"outputGlobalIndex": 28611242,
"outputCreatedAt": 991172,
"outputSettledAt": 991176,
"ergoTree": "0008cd0201fc3177c60357de990b5618f8dcd25def70badca0976e0c5ddf09e7f154c47c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1fc317,864193,...)))}",
"address": "9eXwDrkUabEZ7gZN28kZQoojoam85eX4MaFYHknVCvEN6aMmBNb",
"assets": [
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 0,
"amount": 2,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "c9a56cdfb97ca2c8d86ab7b5ddf4110df064c6e1e3d24ff24720c870f1d20fdd",
"value": 1100000,
"index": 0,
"outputBlockId": "0be27064be55f2ab9c3fe78834793bad8520937c42e4f5fb672d5a3a1a982d47",
"outputTransactionId": "fc629409d9e8411f663a54e51e2390c83b94b8bb1915f8b0c41716e3aefba598",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f,0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0,9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a,ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7,5c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb,794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7,72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639,a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5,c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d]"
},
"R5": {
"serializedValue": "110a00a09c01a09c01a09c01a09c01a09c01a09c01a09c01a09c01a09c01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,10000,10000,10000,10000,10000,10000,10000,10000,10000]"
},
"R6": {
"serializedValue": "1104c8018c010228",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,70,1,20]"
}
}
}
],
"outputs": [
{
"boxId": "4241ec9d67d7aee21012dbde9862ad7d1cbddf8358db3bc0c7281cfdadc3902c",
"transactionId": "ca547049f718348657f92ad2d3f5add8ff552be79cedc5d91faa584f94ed8934",
"blockId": "87e6798e71276b5228b9a09d9913914d59705d53cbf1752054b8fc89770b8b9e",
"value": 9900000,
"index": 0,
"globalIndex": 28627716,
"creationHeight": 991690,
"settlementHeight": 991692,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(55,114,-70,2,110,-28,-123,117,-52,-48,-98,-100,-113,-3,-41,2,-75,47,14,43,-103,18,114,113,85,-4,-13,32,60,-80,80,-68)\n3: 1\n4: 0\n5: Coll(36,110,-75,-35,57,-95,29,-106,-46,-68,115,115,-77,22,104,53,-4,114,-103,-117,4,93,103,-22,122,-36,-24,66,-60,88,90,98)\n6: 7200\n7: Coll(43,-62,101,33,114,37,29,97,92,1,-33,-22,-90,105,-107,67,5,50,-27,-81,13,83,-74,3,-80,-113,-79,-84,54,121,4,-33)",
"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": "21oSXpSmAC6qayCbrgqHPjU8LaNbB41kxUySN91Yjb22ygCMuG89Gu26CpS3coqGDw1e5BaE5i9ysiexzajpTaPnPeKvsPksDK1iLrjvNbNDpmYCn5nonSb23u7AKBm4rkaVgxWzTQU8pFQyAzmpT4zcyBTTEMV4DCvuNZx8AfBYbef6iXnmCRZJv6JZ4MDJnjGS6VdtfsZcnezDX6rBVz89ukeh24PJGHftbgWwt6yRmSeXGyUSEfwp6b5VYMaMumvLuSMRXK5Wz87qYu5wWwuBPvtStkegrKNojETYCtckLKR3sD4TRtjSumd9E3iDYgAmcQ4bXdhbDoMPhCB7E8zgHQXH5QhXv3u4ygErfkb3giWJbD",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 9,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0,050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f,c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d,9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a,72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639,794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7,5c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb,a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5,ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30633236316139623065363262653266623037303265653463643331383834353331346161616230663766303134646534393038663039353639346665316430,63617264616e6f,6572676f,6164647231717973787777616b63656b796a7a6d616d6772617a716a75386333357836726170306a6c636a37757a35326d726164326d3936743878367a776573637a7673753734753235673632366d78616734676367376e706537326c6b666e73307261646c35,39666b74546d6f50506b38325543554d51756f73694575454c5452637a76737274366736334252516e714d39354b594638394d,0000000000895440,000000000081b320,0000000000002328,6c6f76656c616365,33386362323330663638613238343336666233623733616534623932373632363637336534363230626337633934383936313738353637643433366534313662,34313938353533333530363634363134336138323137643034353335393634316630656562366564613234363736316132386534306334633436343537386436,000000000084c615]"
},
"R6": {
"serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
}
},
"spentTransactionId": "0361cb2a425886beed5119b61b4104639522f23326840adff3151df5c6f28349",
"mainChain": true
},
{
"boxId": "0f2a0510f56d70615e236f6afc58ddad5094ee521a6feda1d809e924f165c9ed",
"transactionId": "ca547049f718348657f92ad2d3f5add8ff552be79cedc5d91faa584f94ed8934",
"blockId": "87e6798e71276b5228b9a09d9913914d59705d53cbf1752054b8fc89770b8b9e",
"value": 1100000,
"index": 1,
"globalIndex": 28627717,
"creationHeight": 991690,
"settlementHeight": 991692,
"ergoTree": "0008cd0201fc3177c60357de990b5618f8dcd25def70badca0976e0c5ddf09e7f154c47c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1fc317,864193,...)))}",
"address": "9eXwDrkUabEZ7gZN28kZQoojoam85eX4MaFYHknVCvEN6aMmBNb",
"assets": [
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 0,
"amount": 24099,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e82c8e49564cbdee321544348dae3619c9321e4e1eb50f0c63e6297cc6ecd1ad",
"mainChain": true
},
{
"boxId": "b6e8870ad14e47b371c8767f7fd5e771f350ff5d7de9a1968fa1251a470c83f6",
"transactionId": "ca547049f718348657f92ad2d3f5add8ff552be79cedc5d91faa584f94ed8934",
"blockId": "87e6798e71276b5228b9a09d9913914d59705d53cbf1752054b8fc89770b8b9e",
"value": 1100000,
"index": 2,
"globalIndex": 28627718,
"creationHeight": 991690,
"settlementHeight": 991692,
"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": "4750f912fe36a8c966e50057e30f717a307ac5166693bdc49868e5b158d9f044",
"mainChain": true
}
],
"size": 1768,
"isUnconfirmed": false
}