Transaction
ID: 606911291a...50cb
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:
0.9882 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.9871 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 806,815
Total coins transferred: 0.9992 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000063 ERG
Raw Transaction Data
{
"id": "606911291a39f294055c70e76f7daae61312f28ee79bf65501eb2c53e91c50cb",
"blockId": "13e099aea2b8bb5d38871bf016edf15847eeaadb19ac12d5ba321f2c11ca3ac1",
"inclusionHeight": 970843,
"timestamp": 1680092290856,
"index": 2,
"globalIndex": 4977232,
"numConfirmations": 806815,
"inputs": [
{
"boxId": "44b08df5d806471995a010d00eec0481937d77a99a6ea6ae0fae0f134b4d2b52",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "44a504dac1a7e886e0cdf801b3854e88b2c36bf43700e69f488e7a47f5e9bfe8",
"outputTransactionId": "0e63b594960bf9d62e972bf77b206996ea47205f28520f068bbf24b10700f6ac",
"outputIndex": 1,
"outputGlobalIndex": 27859612,
"outputCreatedAt": 970827,
"outputSettledAt": 970829,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012087b4bceb83a74696477c8a1fda909db92754c2d6e22aa612d260e78756d28be2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[87b4bceb83a74696477c8a1fda909db92754c2d6e22aa612d260e78756d28be2]"
},
"R5": {
"serializedValue": "1a01203fdc68f4d3919efa6b84e7037125b4e6926a1c5d515752a34a20e78fc978517f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3fdc68f4d3919efa6b84e7037125b4e6926a1c5d515752a34a20e78fc978517f]"
},
"R6": {
"serializedValue": "0e206d6b3e8dd888ea858926a94eab49e736def01bfcef18e7043f23d9142990b6a1",
"sigmaType": "Coll[SByte]",
"renderedValue": "6d6b3e8dd888ea858926a94eab49e736def01bfcef18e7043f23d9142990b6a1"
},
"R7": {
"serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
}
}
},
{
"boxId": "3f23f2e20d276254661dafe2fc60607235f467a53f85b90f578e63b20303c7b3",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "44a504dac1a7e886e0cdf801b3854e88b2c36bf43700e69f488e7a47f5e9bfe8",
"outputTransactionId": "2ae82a7b7c1c98da0317e18cd6164ded2f29818ece45beb60d4c3db21d1a9a4b",
"outputIndex": 1,
"outputGlobalIndex": 27859616,
"outputCreatedAt": 970827,
"outputSettledAt": 970829,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e76fe1fbaa9a9c7f95b5cf3efc2bdb98da84aa782e3a5830e0cdf6b9135de394",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e76fe1fbaa9a9c7f95b5cf3efc2bdb98da84aa782e3a5830e0cdf6b9135de394]"
},
"R5": {
"serializedValue": "1a01203fdc68f4d3919efa6b84e7037125b4e6926a1c5d515752a34a20e78fc978517f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3fdc68f4d3919efa6b84e7037125b4e6926a1c5d515752a34a20e78fc978517f]"
},
"R6": {
"serializedValue": "0e2065d7f23a7795e0d673f1dc910041cf74e735de9568cbaeeb49934806fafeeb19",
"sigmaType": "Coll[SByte]",
"renderedValue": "65d7f23a7795e0d673f1dc910041cf74e735de9568cbaeeb49934806fafeeb19"
},
"R7": {
"serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
}
}
},
{
"boxId": "a7e7de96b9ff20074f7337de9cb6b5b615be5b48d842660e7082efdae0eb5853",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "44a504dac1a7e886e0cdf801b3854e88b2c36bf43700e69f488e7a47f5e9bfe8",
"outputTransactionId": "71569fd0071c999a0f6441c3ef4392f8c5cc0426ee91854c9be3e2d8ed0f77ed",
"outputIndex": 1,
"outputGlobalIndex": 27859620,
"outputCreatedAt": 970827,
"outputSettledAt": 970829,
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c4c79dd692a44f2adef3c7d44f8b484a1125f382ee99226353605aca543547a9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c4c79dd692a44f2adef3c7d44f8b484a1125f382ee99226353605aca543547a9]"
},
"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3fdc68f4d3919efa6b84e7037125b4e6926a1c5d515752a34a20e78fc978517f]"
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"R6": {
"serializedValue": "0e2018583d5edcde6d24f9fe5db5409115801a7b6543ae24a8a9bddbaecc706bb274",
"sigmaType": "Coll[SByte]",
"renderedValue": "18583d5edcde6d24f9fe5db5409115801a7b6543ae24a8a9bddbaecc706bb274"
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"R7": {
"serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
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{
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"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "44a504dac1a7e886e0cdf801b3854e88b2c36bf43700e69f488e7a47f5e9bfe8",
"outputTransactionId": "8ba7ef97f624fd3f521b707cc4e32b2a91e025592f77267653191d7cb7f07e14",
"outputIndex": 1,
"outputGlobalIndex": 27859624,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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{
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"name": "Cardano-RWT.V-test",
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"sigmaType": "Coll[SByte]",
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"spendingProof": null,
"outputBlockId": "44a504dac1a7e886e0cdf801b3854e88b2c36bf43700e69f488e7a47f5e9bfe8",
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"ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9]"
},
"R5": {
"serializedValue": "1a01203fdc68f4d3919efa6b84e7037125b4e6926a1c5d515752a34a20e78fc978517f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3fdc68f4d3919efa6b84e7037125b4e6926a1c5d515752a34a20e78fc978517f]"
},
"R6": {
"serializedValue": "0e20fff721041a33753a9bb19d662795e0383fcf9258c569af4fa5fcb5117a5416cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "fff721041a33753a9bb19d662795e0383fcf9258c569af4fa5fcb5117a5416cb"
},
"R7": {
"serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
}
}
},
{
"boxId": "bac6065a68ee1e87ccb0e869c698485a5a0d67467f292cbc8fe19d08ee0b79cb",
"value": 1100000,
"index": 5,
"spendingProof": null,
"outputBlockId": "44a504dac1a7e886e0cdf801b3854e88b2c36bf43700e69f488e7a47f5e9bfe8",
"outputTransactionId": "befbd010b0ff9c246f761810c93a96eaec3f5d409d2189252ca6a3ef08e7f31c",
"outputIndex": 1,
"outputGlobalIndex": 27859632,
"outputCreatedAt": 970827,
"outputSettledAt": 970829,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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"renderedValue": "[3a9a0cee0835f1fe9fcbfeb0e15f8f33eee9d0ec0de3ffb1e0d06d652ba7247a]"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3fdc68f4d3919efa6b84e7037125b4e6926a1c5d515752a34a20e78fc978517f]"
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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": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
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"index": 6,
"spendingProof": null,
"outputBlockId": "44a504dac1a7e886e0cdf801b3854e88b2c36bf43700e69f488e7a47f5e9bfe8",
"outputTransactionId": "c6bd169c7123d0c37190439ffd7db715db96185fb595f51ec00901646dd7412b",
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"outputGlobalIndex": 27859636,
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"ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d497111ddc57ad3b4142f072bb6df3a2a8c141525f9781ed770dba624d3158ba",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d497111ddc57ad3b4142f072bb6df3a2a8c141525f9781ed770dba624d3158ba]"
},
"R5": {
"serializedValue": "1a01203fdc68f4d3919efa6b84e7037125b4e6926a1c5d515752a34a20e78fc978517f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3fdc68f4d3919efa6b84e7037125b4e6926a1c5d515752a34a20e78fc978517f]"
},
"R6": {
"serializedValue": "0e20f811762f9deb4f59dd0fc72ce544ae3479a1b3ed554dbb0b69bf5a406d56946f",
"sigmaType": "Coll[SByte]",
"renderedValue": "f811762f9deb4f59dd0fc72ce544ae3479a1b3ed554dbb0b69bf5a406d56946f"
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"R7": {
"serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
}
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},
{
"boxId": "037110a510708d05b541862de5e4650544050b142dfb0a8f50a0ca3b656fca7c",
"value": 1100000,
"index": 7,
"spendingProof": null,
"outputBlockId": "44a504dac1a7e886e0cdf801b3854e88b2c36bf43700e69f488e7a47f5e9bfe8",
"outputTransactionId": "dec90d40ce0045bfcfc5c3bb3934c5c24ea739056ad02211e100dec51fd32e4b",
"outputIndex": 1,
"outputGlobalIndex": 27859640,
"outputCreatedAt": 970827,
"outputSettledAt": 970829,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
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"name": "Cardano-RWT.V-test",
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"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
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"index": 8,
"spendingProof": null,
"outputBlockId": "44a504dac1a7e886e0cdf801b3854e88b2c36bf43700e69f488e7a47f5e9bfe8",
"outputTransactionId": "f29b2099d7d97e5af9c3cd159dbf35cfe0a63f57eceb394cb73a0f5be7afca68",
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"ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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",
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"assets": [
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"name": "Cardano-RWT.V-test",
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"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a94132e44866c307fecaf9cb8b2ef69e90f4100215994509d09181512289944c]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
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"outputBlockId": "44a504dac1a7e886e0cdf801b3854e88b2c36bf43700e69f488e7a47f5e9bfe8",
"outputTransactionId": "f8bd814d51304531b9e018aef4c16fce4be445ba907066110f12a76be6ea9d90",
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,3a9a0cee0835f1fe9fcbfeb0e15f8f33eee9d0ec0de3ffb1e0d06d652ba7247a,a5921dead7746ef83365dd2ab55c1f877d82cfe0b1f20254c7e06080b1bfb856,87b4bceb83a74696477c8a1fda909db92754c2d6e22aa612d260e78756d28be2,d497111ddc57ad3b4142f072bb6df3a2a8c141525f9781ed770dba624d3158ba,033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9,c4c79dd692a44f2adef3c7d44f8b484a1125f382ee99226353605aca543547a9,a94132e44866c307fecaf9cb8b2ef69e90f4100215994509d09181512289944c,bf0f0c2d13381c12f676abf35a21316848ca12ae9b524ef77e383cf5368d0428,555ceb9a0324e5d8cf32b9cfd2b9801dda884a5c5907f01ef0c24b40dd20d7d1,e76fe1fbaa9a9c7f95b5cf3efc2bdb98da84aa782e3a5830e0cdf6b9135de394]"
},
"R5": {
"serializedValue": "110b00d00fd00fd00fd00fd00fd00fd00fd00fd00fd00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1000,1000,1000,1000,1000,1000,1000,1000,1000,1000]"
},
"R6": {
"serializedValue": "1104d00f8c010228",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,70,1,20]"
},
"R7": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
}
],
"outputs": [
{
"boxId": "8b60c54dfc39957328d0185ecdd30776c281e71dd2af19d0284d69b991d2791d",
"transactionId": "606911291a39f294055c70e76f7daae61312f28ee79bf65501eb2c53e91c50cb",
"blockId": "13e099aea2b8bb5d38871bf016edf15847eeaadb19ac12d5ba321f2c11ca3ac1",
"value": 11000000,
"index": 0,
"globalIndex": 27861143,
"creationHeight": 970841,
"settlementHeight": 970843,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(51,-52,-8,-95,100,29,25,107,-88,85,35,-119,94,16,3,-56,96,-21,19,-120,60,-128,-109,45,117,91,-53,106,36,-118,107,55)\n3: 1\n4: 0\n5: Coll(-57,-98,23,72,-24,98,-88,12,79,113,-109,7,123,96,15,-97,-5,101,-58,18,41,127,-102,-120,41,64,112,68,-63,-21,16,102)\n6: 7200\n7: Coll(-93,87,-80,5,86,-23,-23,60,104,-34,26,73,-30,-7,-41,-60,-110,93,-91,-62,118,103,2,-20,73,-79,-91,14,88,40,23,19)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)\n }), if (coll5 == placeholder[Coll[Byte]](2)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5), HEIGHT - placeholder[Int](6) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](7) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "21oSXpSmAC6qabi7qcjxyUJZw1N2pPNmzvra4FxhZfFTi6bZPeFRC2ycs7xLopFjtFEK2oSBx8N6RWdseVZYzAJy4WYXiyUZo4w9Z7BjmerEgoyRkb46fHr2JakVqqVP9igfSAqYiik9ya2a1BSH4w6s8Awwuog8GuB3iZhXtyKNk48WVxiqpPqgn5aU6wwnaonQNbV2fBnUGg3QGwicHxMkFhpEJiMZGzuSEshbTNi3RMq6ucUsxCbifSkzZZd5ZdYiH3Y6EGvq6scVwJAAnxjR2xQvDLAXQWtrFLiUTKwvmdFdXc18aPb5KrLjLL9fTLkkaUsbYhigvmMJp8Cq6tGxb45VoyobYQqL3bBqAg8wW3cXiu",
"assets": [
{
"tokenId": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
"index": 0,
"amount": 10,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[87b4bceb83a74696477c8a1fda909db92754c2d6e22aa612d260e78756d28be2,e76fe1fbaa9a9c7f95b5cf3efc2bdb98da84aa782e3a5830e0cdf6b9135de394,c4c79dd692a44f2adef3c7d44f8b484a1125f382ee99226353605aca543547a9,555ceb9a0324e5d8cf32b9cfd2b9801dda884a5c5907f01ef0c24b40dd20d7d1,033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9,3a9a0cee0835f1fe9fcbfeb0e15f8f33eee9d0ec0de3ffb1e0d06d652ba7247a,d497111ddc57ad3b4142f072bb6df3a2a8c141525f9781ed770dba624d3158ba,a5921dead7746ef83365dd2ab55c1f877d82cfe0b1f20254c7e06080b1bfb856,a94132e44866c307fecaf9cb8b2ef69e90f4100215994509d09181512289944c,bf0f0c2d13381c12f676abf35a21316848ca12ae9b524ef77e383cf5368d0428]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[39653830613662653964633365373661323834376530323935633164376139306330623136633939313665366335643535393865323865636239386637636338,63617264616e6f,6572676f,61646472317178776b6339756877303277766b677739716b7277327477657363756332737335337435796165646c307a6379656e326130793772656476676a78307430616c35367139646b797a773039356568386a77376c75616e326b68333871707733786773,39694d6a517838507a77424b5852767346554a464a41506f7933317a6e6645654255477a3844526b636e4a5834724a596a5664,00000000003d0900,0000000000061a80,0000000000124f80,6c6f76656c616365,34656436343439323430643136366230653434633532396235626630366432313037393634373364333831316239616130653135333239353939313634633234,30306539623563356434663730323937663566326335656332346130633235303037643537316564396264616465613863306464363237323036323338643931,000000000082e739]"
},
"R6": {
"serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
}
},
"spentTransactionId": "085a2b13086f07a549babc50a743fc61930b4c61329f3114eb263592e93a318e",
"mainChain": true
},
{
"boxId": "c2d6baaec4ae002ede9e27008e1823509e1510f112b098a61f537a390052ec4c",
"transactionId": "606911291a39f294055c70e76f7daae61312f28ee79bf65501eb2c53e91c50cb",
"blockId": "13e099aea2b8bb5d38871bf016edf15847eeaadb19ac12d5ba321f2c11ca3ac1",
"value": 987100000,
"index": 1,
"globalIndex": 27861144,
"creationHeight": 970841,
"settlementHeight": 970843,
"ergoTree": "0008cd0221318880a5568d35c5fc1c0c932766dfb4ad31976437b4a90fa9efcb3f7aa863",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(213188,9608de,...)))}",
"address": "9emgQ3eJujJCGy486PshNgR4LPULbai5hEskYzCo5ecC7FZqYny",
"assets": [
{
"tokenId": "a94132e44866c307fecaf9cb8b2ef69e90f4100215994509d09181512289944c",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {},
"spentTransactionId": "7e92fa6f2d145202c155c1def6156fa43cedaa436dd1c9e62764a2c3d195ada6",
"mainChain": true
},
{
"boxId": "7e869ed4c594f722c29f03e37ebf333f62b44d52f7955435053294b9d4613164",
"transactionId": "606911291a39f294055c70e76f7daae61312f28ee79bf65501eb2c53e91c50cb",
"blockId": "13e099aea2b8bb5d38871bf016edf15847eeaadb19ac12d5ba321f2c11ca3ac1",
"value": 1100000,
"index": 2,
"globalIndex": 27861145,
"creationHeight": 970841,
"settlementHeight": 970843,
"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": "d55aabf503edb4b058109536e313165ba124e0fbd17135184e5ebdad7b85b81d",
"mainChain": true
}
],
"size": 1745,
"isUnconfirmed": false
}