Transaction
ID: bdde857a41...8f45
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)
Unspent
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: 807,921
Total coins transferred: 0.0121 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000061 ERG
Raw Transaction Data
{
"id": "bdde857a4185d7127598cb37594dff32bdf03a650f0b43305e6e5105a8878f45",
"blockId": "91863870925b49418c5c1aab0db4fa341d50aefb7a70fd4de9a09f9e6196b246",
"inclusionHeight": 961205,
"timestamp": 1678924443674,
"index": 5,
"globalIndex": 4904095,
"numConfirmations": 807921,
"inputs": [
{
"boxId": "84c917637d826025588ba43c2290e86e2165735318ab9330b0cdfc48e87c1bb7",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d707b6ae0d83dde4f25eb5229056388f16376c1dea1c3615f6c6fe3f451eff3f",
"outputTransactionId": "0352094c299e918618830577602bcedffeb7198dbb27b8d3bfa24daa08ef133f",
"outputIndex": 1,
"outputGlobalIndex": 27416603,
"outputCreatedAt": 960956,
"outputSettledAt": 960958,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\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": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c]"
},
"R5": {
"serializedValue": "1a0120d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a]"
},
"R6": {
"serializedValue": "0e20e7c72613f01b9c64b3bcaecf1de7edbafcdc5d0313927cd0c3a147f4c6afb649",
"sigmaType": "Coll[SByte]",
"renderedValue": "e7c72613f01b9c64b3bcaecf1de7edbafcdc5d0313927cd0c3a147f4c6afb649"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "612e591dcfd8f49298617e0b2d87291f817b4d8160c4cae1ad19a5198e3ecc71",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "d707b6ae0d83dde4f25eb5229056388f16376c1dea1c3615f6c6fe3f451eff3f",
"outputTransactionId": "6c3e02bfd80d11201d91ff6e4d7c9afa50ab251726c7533437a0226049ed8510",
"outputIndex": 1,
"outputGlobalIndex": 27416608,
"outputCreatedAt": 960956,
"outputSettledAt": 960958,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\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": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d206d6f37bc63fae26fbb591d5d4b60181db35fb712ae6dfa2c5faf0078d66eb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d206d6f37bc63fae26fbb591d5d4b60181db35fb712ae6dfa2c5faf0078d66eb]"
},
"R5": {
"serializedValue": "1a0120d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a]"
},
"R6": {
"serializedValue": "0e209878bace98fc9779b7d2779003c91048bc9caae3267d9c7c43f0b65ae08ed337",
"sigmaType": "Coll[SByte]",
"renderedValue": "9878bace98fc9779b7d2779003c91048bc9caae3267d9c7c43f0b65ae08ed337"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "2168d899fb20ff630c77e09dc1bad86100897d863c82e1c6dd3f7f393d32b219",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "d707b6ae0d83dde4f25eb5229056388f16376c1dea1c3615f6c6fe3f451eff3f",
"outputTransactionId": "6db4c4ba03803ad0e624e71c750d19d4b7474253f636124f5b4d02b4927e209f",
"outputIndex": 1,
"outputGlobalIndex": 27416613,
"outputCreatedAt": 960955,
"outputSettledAt": 960958,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\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": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120101f5f0995d90c80a9491815571ed1c9fc5522922fa3bbccbd575d1aa7255f90",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[101f5f0995d90c80a9491815571ed1c9fc5522922fa3bbccbd575d1aa7255f90]"
},
"R5": {
"serializedValue": "1a0120d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a]"
},
"R6": {
"serializedValue": "0e20c2f30ae9456ce3538f895a3311af5e09300797d340e747d4c5f6d8dabd3830b6",
"sigmaType": "Coll[SByte]",
"renderedValue": "c2f30ae9456ce3538f895a3311af5e09300797d340e747d4c5f6d8dabd3830b6"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "a318a6193510a6ab475a409fc1893aa2adac61e8df5013ff6379a9bf6e023e71",
"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "d707b6ae0d83dde4f25eb5229056388f16376c1dea1c3615f6c6fe3f451eff3f",
"outputTransactionId": "7b306e58e30562305db5f119a111366ba518c92eb3c7a94542b88a3757096fc3",
"outputIndex": 1,
"outputGlobalIndex": 27416618,
"outputCreatedAt": 960955,
"outputSettledAt": 960958,
"ergoTree": "101c04000e204791c75d9e73dd1546e0c391d190350176ba91acdaff9387cf00dc86d6fc33ab04000200020004020400010004000400040004000400040604040402050205c8010500040204000400020004000400040204000400d80bd601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607c67205051ad608e67207d609957208b0e472078301027303d901093c0e0eb38c7209018c7209028301027304d60ab472097305b17209d60bb2a5730600957203d801d60cb2b5a5d9010c63d801d60ec6720c041a95e6720e93e4720e72047307730800d19683040193cbc2720ce4c6a7070e938cb2db6308720c730900018cb2db6308a7730a0001efae7206d9010d0e93720483010e720d93cbb3720ab27204730b00e4c6a7060ed801d60ccbc2720b9593720c7202d806d60db5a4d9010d6393c2a7c2720dd60eb1720dd60fb2db6501fe730c00d610e4c6720f0611d611b27210730d00d6129ab27210730e009d9cb27210730f00997eb1e4c6720f041a0573107311d19683080192c1720bb0ad720dd9011363c172137312d90113599a8c7213018c72130293b1b5720dd901136393e4c67213041a72047313ae7206d901130e9383010e7213720493e4c67205060ee4c6a7070e93b17206720e93cbb3720ab27204731400e4c6a7060e93e4c6a7051a83010e957208cbb2e472077315008301027316917e720e05958f7211721272117212d19683050193c5a7c57201938cb2db6308720b731700018cb2db6308a77318000193e4c6720b041a7204938cb2db6308b2a4731900731a0001b27204731b0093720ce4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\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": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120846f72637b75f4817eb3f6e8542cb2d92875cf1ddce0fd5b734fc7c9bb48ac60",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[846f72637b75f4817eb3f6e8542cb2d92875cf1ddce0fd5b734fc7c9bb48ac60]"
},
"R5": {
"serializedValue": "1a0120d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a]"
},
"R6": {
"serializedValue": "0e20b84880bbb2194d7a3b8ddd4aa17cca8da7efa05fd41e8f5633acc18ed8d6f0b3",
"sigmaType": "Coll[SByte]",
"renderedValue": "b84880bbb2194d7a3b8ddd4aa17cca8da7efa05fd41e8f5633acc18ed8d6f0b3"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "14eccd274afb0a186d490248307f975ccee5fcb49195cd6de0d05eb1b4098319",
"value": 1100000,
"index": 4,
"spendingProof": null,
"outputBlockId": "d707b6ae0d83dde4f25eb5229056388f16376c1dea1c3615f6c6fe3f451eff3f",
"outputTransactionId": "8bfd06eabcf21f7c26cf6292fdb0560d719e5af96182f9b7bbde4352aed12efe",
"outputIndex": 1,
"outputGlobalIndex": 27416623,
"outputCreatedAt": 960955,
"outputSettledAt": 960958,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\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": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302]"
},
"R5": {
"serializedValue": "1a0120d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a]"
},
"R6": {
"serializedValue": "0e20c7bf05325354b7e5a53d500ad23e75800c79949d2770d02cc80cf6309f8f6088",
"sigmaType": "Coll[SByte]",
"renderedValue": "c7bf05325354b7e5a53d500ad23e75800c79949d2770d02cc80cf6309f8f6088"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "53211d6c70a0eeb0c516e498b1c782d7546c155687324fc9b9435db4afec9fb2",
"value": 1100000,
"index": 5,
"spendingProof": null,
"outputBlockId": "d707b6ae0d83dde4f25eb5229056388f16376c1dea1c3615f6c6fe3f451eff3f",
"outputTransactionId": "b716694e7c4f49b7b0923d3642e69ea389a63bb25b122abf17142ccf1f817cec",
"outputIndex": 1,
"outputGlobalIndex": 27416628,
"outputCreatedAt": 960956,
"outputSettledAt": 960958,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\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": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
},
"R5": {
"serializedValue": "1a0120d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a]"
},
"R6": {
"serializedValue": "0e209ffd089372ca8ea1a63323cb0444f6ef38e21002b56bddeec2269bb348690739",
"sigmaType": "Coll[SByte]",
"renderedValue": "9ffd089372ca8ea1a63323cb0444f6ef38e21002b56bddeec2269bb348690739"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "02bb3149c8125bca607a9a731e432c05f664de22a6758f15c8f0ceecd943a2a5",
"value": 1100000,
"index": 6,
"spendingProof": null,
"outputBlockId": "63490b7d629d5797b24456fe3a35dfcb4aa37eaf0bec14d5841697ebe6308df9",
"outputTransactionId": "99ed63712b4c136c775427889aba0fc92e539546c51da76adac6ec9f050b9170",
"outputIndex": 1,
"outputGlobalIndex": 27430068,
"outputCreatedAt": 961085,
"outputSettledAt": 961100,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\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": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508]"
},
"R5": {
"serializedValue": "1a0120d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a]"
},
"R6": {
"serializedValue": "0e208b6f93cc2c384bd94d43add2e4547cd06395e0c1b0d2cb1001cb96c897a7dc5e",
"sigmaType": "Coll[SByte]",
"renderedValue": "8b6f93cc2c384bd94d43add2e4547cd06395e0c1b0d2cb1001cb96c897a7dc5e"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "ce980f8888959a59e1233f1fab253c46db60732f8624cd6f7c53db9a2cdbdeae",
"value": 1100000,
"index": 7,
"spendingProof": null,
"outputBlockId": "4927b42f8f100cd8564cd58afb40181251ad9799468cef317bb42d05cff87964",
"outputTransactionId": "2587b826cc867d33a51ca8c477344f8bc5f6919b247e7e5642006587aa5851d9",
"outputIndex": 1,
"outputGlobalIndex": 27433875,
"outputCreatedAt": 961158,
"outputSettledAt": 961168,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\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": "58grLgCGkP9NrKTsnxjMJm3tSPLpQUuzv2kFStDYjct8JR36F31b2nVzB64TkMwzxhooA85NSR9Y5dTS6jBRuMLbxgSCToFnJTZz7gTvhNp4JeUo5p8A7mE6Dhd9yckPwrMuQhp18kcVsnNce25xJoZSEKqAboGM7ChpLL4oAjQEWha9mTMpTrotKFsWHQTLpVCJhsDYHNAH7aTxDHeHLaZ4WK45dJAxNfVGCAD7ksyu5Rvz1ot8D3EvrgUuKnBvATcz8QrusRtYN156e6GUy6jP4h1UrDsnWnzthYykh61unkJFREKdsac2jWSm9SyjDrq1PeenZXiu5ijUu28qdKqmm1tmgwc2agsumLTr1bbRxoTVukavSKTL6UH8XYwc5kWo3gB565cBaZT2axE3rpp8UBx6wTzbTadfa2LULvGKEVndzKsZSe2wNgTxk6aAMd4JfAavwhx1PHNvForiJnvaHm8NHJGJWtR41tFyB5fP2tGjrs18gKey4ZgUQFDssdzEmK91k5CD4hom9k7UuJBcGZXwbwNf9p6pv3RpMRdcqti2mSYmZufdf5b8XJr41x9sx7ZddGsw7eN7PSyB1ihy2ttnSdsdc7dxrwr6DLjsWnhCxfNjHqWrv1g5MJ1Rsg4JfeUrQW7DJqrgZ5PJw4iUB3F2g577Qn5FGennFg5QjeAQgpTWZU9cbTA9qebWtJDpeifUmhTkjkYbeEgeSZT8bWfZeUyqZCym1vX8QaXhq9cftnTAagQVDa8UzgutLa96NTNoqHELwBUaefctCCV9JFHXnFFBEf6hkB5zXpwY44AHgYEuNkTPgtooNauMAjmgXgoAQEPi2AUy7",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e09921d0a87bb63e94aa6074c090a903a280ebd8cfba862396e56668f7138fe1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e09921d0a87bb63e94aa6074c090a903a280ebd8cfba862396e56668f7138fe1]"
},
"R5": {
"serializedValue": "1a0120d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a]"
},
"R6": {
"serializedValue": "0e20f83608c70a18534eecc22b6c21234f73fe7b40d3803fc7f18bae10d7104129f0",
"sigmaType": "Coll[SByte]",
"renderedValue": "f83608c70a18534eecc22b6c21234f73fe7b40d3803fc7f18bae10d7104129f0"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "03442c613e175036b21fcad529cb4e5543d5c51a60db97a1313d2bbc39262b91",
"value": 1100000,
"index": 8,
"spendingProof": null,
"outputBlockId": "2aafa809fefa41e00aa67f1781196a95db78baba3eb8aa044b5decabc2e216f5",
"outputTransactionId": "8b52bc8201f7f89a81f9274e58bc0abf668812cf1c88e8586d9ecf2d72b73136",
"outputIndex": 1,
"outputGlobalIndex": 27436127,
"outputCreatedAt": 961195,
"outputSettledAt": 961199,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\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": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c1f5aa4b1a713396a63f556df49c70add93b3471cbca893c6146fce5a4b95e76",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c1f5aa4b1a713396a63f556df49c70add93b3471cbca893c6146fce5a4b95e76]"
},
"R5": {
"serializedValue": "1a0120d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d806ea48d3741c97bc8bab0088237f7abda59f5a0e3cb87f4dd085e5156dee4a]"
},
"R6": {
"serializedValue": "0e20c14c7200794db5211c4afaddc1af8fafdc771d8e83453cb7028e4f7748fa1a80",
"sigmaType": "Coll[SByte]",
"renderedValue": "c14c7200794db5211c4afaddc1af8fafdc771d8e83453cb7028e4f7748fa1a80"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "9c0b6561daa6a76efc3434ea80114c03652f03448ec87ae4c1b7ef93e214f4f6",
"value": 1100000,
"index": 9,
"spendingProof": "a43ea745dc5470536baa22f964e16fd28414e7867ff3a3a11185ac3df722d421c53613f69a3e8877d126071783b08cd1dd386a30047f5bd4",
"outputBlockId": "d41f67487878ddfadb9983597ed269741081cb9f353afe82c2f3539ecb3458d8",
"outputTransactionId": "68107db061a17c4094cab368687718d9d06c104382474e371b7114afae53c08e",
"outputIndex": 1,
"outputGlobalIndex": 27435071,
"outputCreatedAt": 961179,
"outputSettledAt": 961182,
"ergoTree": "0008cd038cdc6d0c29b711b6831ad43ca291ed14a4dd10c9d4aca2f6634b4aa36c83e3e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8cdc6d,a5277e,...)))}",
"address": "9hXqoDT3u7oxaZNtdQwLXN37J6sGtBYc7WYPp2NkmUVzXpx9f22",
"assets": [
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 0,
"amount": 798,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "d9c336cea95bd835583f7c11f5cc4ba01f6696b1c09a08fc98706c8b3a749329",
"value": 1100000,
"index": 10,
"spendingProof": "54ab5ba3d54d01bafb55a758a152cba74a23ddd70ab28335560f3f7d8cbd634498baf70736340d487c3db22535cb17bdcff4b3ec15a86868",
"outputBlockId": "4276bb939285be684ee7ea2a7d077abc06aae565c791aff6a6cc7de6f9e653f2",
"outputTransactionId": "6597a26ddf20ff1865a0167cee207c8c926202b5c886fe3c922c3520046ec1c2",
"outputIndex": 3,
"outputGlobalIndex": 27433940,
"outputCreatedAt": 961168,
"outputSettledAt": 961170,
"ergoTree": "0008cd038cdc6d0c29b711b6831ad43ca291ed14a4dd10c9d4aca2f6634b4aa36c83e3e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8cdc6d,a5277e,...)))}",
"address": "9hXqoDT3u7oxaZNtdQwLXN37J6sGtBYc7WYPp2NkmUVzXpx9f22",
"assets": [
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 0,
"amount": 66,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "0b2ab31f04d37181dbdee7e378e642b87396adcbf8b1714c678cc2ab8a43028a",
"value": 1100000,
"index": 0,
"outputBlockId": "eaa936123902a431cf64ad57c4a3955ff48cad82765d75e99af7d15068a0b8ca",
"outputTransactionId": "c77a3393a6c90e915fc4ec154ed6ec3a372a3c8c501f197c0d907bd37f0c3066",
"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": "[6572676f,c1f5aa4b1a713396a63f556df49c70add93b3471cbca893c6146fce5a4b95e76,d4e03eda58a338f8f65b40de258407dbdbbd9b8ccca374f66be8d97e52c8a752,ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302,846f72637b75f4817eb3f6e8542cb2d92875cf1ddce0fd5b734fc7c9bb48ac60,101f5f0995d90c80a9491815571ed1c9fc5522922fa3bbccbd575d1aa7255f90,e09921d0a87bb63e94aa6074c090a903a280ebd8cfba862396e56668f7138fe1,730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508,da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707,d206d6f37bc63fae26fbb591d5d4b60181db35fb712ae6dfa2c5faf0078d66eb,e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c]"
},
"R5": {
"serializedValue": "110b00c801c801d00fd00fd00fd00fd00fd00fd00fc801",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,100,100,1000,1000,1000,1000,1000,1000,1000,100]"
},
"R6": {
"serializedValue": "1104d00f8c010228",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,70,1,20]"
},
"R7": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
}
],
"outputs": [
{
"boxId": "9b5e0570baf19cdae84b8e806057848cccdb332a90d58a3b423cf026ec8d94b5",
"transactionId": "bdde857a4185d7127598cb37594dff32bdf03a650f0b43305e6e5105a8878f45",
"blockId": "91863870925b49418c5c1aab0db4fa341d50aefb7a70fd4de9a09f9e6196b246",
"value": 9900000,
"index": 0,
"globalIndex": 27436485,
"creationHeight": 961202,
"settlementHeight": 961205,
"ergoTree": "1008040004000e20b7f09c1b0a974d6699a9593a286808ad12748fa8025ab9adcb24375e0395f815040204000e2037080ea7925c407965f27013fe66d2e7d692e68dc0de9219effe4819cea8c7b304c0700e206a1a0cf61ec4148916281e6d82a1d17a60eed7845200401d5231377f4643ba67d805d601e4c6a7041ad602b17201d603b4a573007202d604c2b2a5730100d605cb7204d196830301937202b17203afdc0c1d7201017203d901063c0e63d801d6088c720602ed9383010e8c720601e4c67208041a93c27208720495937205730296830201938cb2db6308b2a47303007304000173059299a373068cc7a70196830201aea4d901066393cbc272067307937205e4c6a7060e",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-73,-16,-100,27,10,-105,77,102,-103,-87,89,58,40,104,8,-83,18,116,-113,-88,2,90,-71,-83,-53,36,55,94,3,-107,-8,21)\n3: 1\n4: 0\n5: Coll(55,8,14,-89,-110,92,64,121,101,-14,112,19,-2,102,-46,-25,-42,-110,-26,-115,-64,-34,-110,25,-17,-2,72,25,-50,-88,-57,-77)\n6: 7200\n7: Coll(106,26,12,-10,30,-60,20,-119,22,40,30,109,-126,-95,-47,122,96,-18,-41,-124,82,0,64,29,82,49,55,127,70,67,-70,103)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)\n }), if (coll5 == placeholder[Coll[Byte]](2)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5), HEIGHT - placeholder[Int](6) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](7) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "21oSXpSmAC6qp2H72o1YW4D9Dxq3mSkee28gWAFqqd9NRTx15VHM6RwVxScoDnN4jiTegJvto6yK4rZDV788EKrJdoftYXVdQDaeakfgJJhLSfpJcadGZLLwJQkpoRJpesAgY8QfkuyLTkVNbNNshvsA4x3kfvPFDGDQfn8AdN6hJ1FnibRdcj3uY9NQTjjLWNGb1XNdUQyGv73qBJobfaRm9GyXzk9wUq54VhKdcxzTjzuJTtCCv2cxBXKup4EzEEXDNWLcfsD8bNknob5bmUDuTGszsPZHcwAwXgcqsxKvcki7KUs7d666iyu5fNgvFTx8B3D1ageWpAD5RcBbmfiGNEL9k7BnwWiP2pU5DwhJzWH3iU",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 9,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c,d206d6f37bc63fae26fbb591d5d4b60181db35fb712ae6dfa2c5faf0078d66eb,101f5f0995d90c80a9491815571ed1c9fc5522922fa3bbccbd575d1aa7255f90,846f72637b75f4817eb3f6e8542cb2d92875cf1ddce0fd5b734fc7c9bb48ac60,ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302,da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707,730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508,e09921d0a87bb63e94aa6074c090a903a280ebd8cfba862396e56668f7138fe1,c1f5aa4b1a713396a63f556df49c70add93b3471cbca893c6146fce5a4b95e76]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[38313831333836613465363638626165616164376461313137323931373335633766393639373636393236343331363261356134353235383339643665323461,6572676f,63617264616e6f,39677864333139696d5336444b6f66377a4a3164525269424d5973745359367a50484e506f534c364a74694c7a6b3154574d33,616464723171796470643565676472766671396836613071736837356e7373746d766b617a3061646a766d64363837636735796a77676e6866643373636d6a616d32783666336b7075746367743470357168353973336b777761366564786a7873346873376878,0000000000000a44,00000000000007d0,00000000000000c8,35313763393162346561363830313636646464336636376232376230323734633230626264326165623832623630656166356266353437316233376636383461,6173736574317677756e30613532786a763574633278393277677236783370367133753466726e6d71387130,30396338386461373235376332353766376161613061336632393137663230353664666463663338623833396265366630616464656436383639386561333830,00000000000ea9b7]"
},
"R6": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "5c31bd5c0911ba73a586ff1398d2858cf61e4fbd6a52747c62ec4ae6eb5d4234",
"transactionId": "bdde857a4185d7127598cb37594dff32bdf03a650f0b43305e6e5105a8878f45",
"blockId": "91863870925b49418c5c1aab0db4fa341d50aefb7a70fd4de9a09f9e6196b246",
"value": 1100000,
"index": 1,
"globalIndex": 27436486,
"creationHeight": 961202,
"settlementHeight": 961205,
"ergoTree": "0008cd038cdc6d0c29b711b6831ad43ca291ed14a4dd10c9d4aca2f6634b4aa36c83e3e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8cdc6d,a5277e,...)))}",
"address": "9hXqoDT3u7oxaZNtdQwLXN37J6sGtBYc7WYPp2NkmUVzXpx9f22",
"assets": [
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 0,
"amount": 864,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "cfb26cec05c8354770a8b33da29c30da851c7f2c03c2db9edb7e2fedbd984ccf",
"mainChain": true
},
{
"boxId": "b902963d805b90eeeed49c66496f4f320d4c16850b70bb096ff6fc78b2c10785",
"transactionId": "bdde857a4185d7127598cb37594dff32bdf03a650f0b43305e6e5105a8878f45",
"blockId": "91863870925b49418c5c1aab0db4fa341d50aefb7a70fd4de9a09f9e6196b246",
"value": 1100000,
"index": 2,
"globalIndex": 27436487,
"creationHeight": 961202,
"settlementHeight": 961205,
"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": "330a1a7d97370c2130bf5fe1264969eda09a8414e471614453c9a5e28a304752",
"mainChain": true
}
],
"size": 1803,
"isUnconfirmed": false
}