Transaction
ID: 1c7d2f896f...0338
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.96 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Outputs (5)
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
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.96 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 775,734
Total coins transferred: 1.97 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000612 ERG
Raw Transaction Data
{
"id": "1c7d2f896f773235e6fd595042e3e7bca5812efd626325e8246a41a9a6a10338",
"blockId": "3d35f82214de0d7a1fe236127201b6127263a1122c84601329924ed1e9d8b6dc",
"inclusionHeight": 991630,
"timestamp": 1682613032860,
"index": 1,
"globalIndex": 5107727,
"numConfirmations": 775734,
"inputs": [
{
"boxId": "10a415f99b94bb4247895f89d3825686dbad20c5f480b2c538ffeee82b6d7607",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f59820c8d3fd2fd9ac8c3a76919a3d2bcb37ed111582fea5b0ed3ecb1a8106f6",
"outputTransactionId": "0c94be720a9552384bad907da57eae554f5638710868cd00af4ea189e37a137e",
"outputIndex": 0,
"outputGlobalIndex": 28620010,
"outputCreatedAt": 991484,
"outputSettledAt": 991487,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 9997,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7]"
},
"R5": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
}
}
},
{
"boxId": "45312c200c7b2c3b676b9fee84ec398ecad62aa941d8776ec5c5361256934fc8",
"value": 1964300000,
"index": 1,
"spendingProof": "2b57eb90a84522bf447676d603492e9c55c6d4305b2e72cf31cbfe611501d2a7307b9077f954bbd9975237645d3aa25becdb9e77e06f2b8a",
"outputBlockId": "f59820c8d3fd2fd9ac8c3a76919a3d2bcb37ed111582fea5b0ed3ecb1a8106f6",
"outputTransactionId": "0c94be720a9552384bad907da57eae554f5638710868cd00af4ea189e37a137e",
"outputIndex": 2,
"outputGlobalIndex": 28620012,
"outputCreatedAt": 991484,
"outputSettledAt": 991487,
"ergoTree": "0008cd02a4ee8e4fe205006cfd0650907b1a4f8e5276e9f339b8357100d0d3be96c9c088",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a4ee8e,174754,...)))}",
"address": "9fmhUgFVmTLz6CQ3Y5tWdGrBAxeYYjdCLkMz31Y3QHofyAj1FNW",
"assets": [
{
"tokenId": "794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
},
{
"boxId": "5b7f61a4a6deef6eb9036aec22f26030153b6ed68ef23c870419255fa7ecb470",
"value": 300000,
"index": 2,
"spendingProof": null,
"outputBlockId": "045ee0ac5e36a2228ef429a33d5533e7f97505e04aee1f08b600ed9466a64f89",
"outputTransactionId": "80be5271a6d94935523bc1179b8d3567993d4400f8e0bbcb9e0eccde4db53758",
"outputIndex": 3,
"outputGlobalIndex": 28622116,
"outputCreatedAt": 991519,
"outputSettledAt": 991527,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7]"
}
}
},
{
"boxId": "e46193f5d8ca68daaf65308c585e06cdf55968694dad9ee3a51345530c511746",
"value": 300000,
"index": 3,
"spendingProof": null,
"outputBlockId": "7556a55b81aa235fa042e34ea09a17ba6252189e55b8a0e4930ff65e5ad67367",
"outputTransactionId": "87f0d32620ebe4b7ce7421d6a495601af0fac315cb7020e3b4761511adbe012a",
"outputIndex": 2,
"outputGlobalIndex": 28622312,
"outputCreatedAt": 991531,
"outputSettledAt": 991535,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 1,
"amount": 2,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7]"
}
}
},
{
"boxId": "faf7060d39d2602d77a6c68d8e70454efd88b9d07931979636d78f64a76a9abf",
"value": 300000,
"index": 4,
"spendingProof": null,
"outputBlockId": "3fa166b71b8f5d483912990c5be936ff2d047e1586545033a86446969ca4e5d3",
"outputTransactionId": "bb5369752f74339cf48adf2f8b0cb9dc66d6327f251abecfd56d397c2a8df55f",
"outputIndex": 1,
"outputGlobalIndex": 28622715,
"outputCreatedAt": 991535,
"outputSettledAt": 991545,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7]"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "def6bd0a1ecd15606dcef094e8d3f4eb05a830a4b7cc8a9d748936500a429265",
"transactionId": "1c7d2f896f773235e6fd595042e3e7bca5812efd626325e8246a41a9a6a10338",
"blockId": "3d35f82214de0d7a1fe236127201b6127263a1122c84601329924ed1e9d8b6dc",
"value": 1100000,
"index": 0,
"globalIndex": 28625576,
"creationHeight": 991627,
"settlementHeight": 991630,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 9999,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7]"
},
"R5": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
}
},
"spentTransactionId": "18adcf1936248ef34f60a34e765215b0c3da40b839ebca1aab3dc96c7d4864eb",
"mainChain": true
},
{
"boxId": "194722572a59dba5f1aa97819c0f121e03752aeee9eadfee7637ab1826b25876",
"transactionId": "1c7d2f896f773235e6fd595042e3e7bca5812efd626325e8246a41a9a6a10338",
"blockId": "3d35f82214de0d7a1fe236127201b6127263a1122c84601329924ed1e9d8b6dc",
"value": 1100000,
"index": 1,
"globalIndex": 28625577,
"creationHeight": 991627,
"settlementHeight": 991630,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7]"
},
"R5": {
"serializedValue": "1a0120595af7a6f28b93faa0d1ecebebbed86452b3e4c951491eb2b48892b06ac1d156",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[595af7a6f28b93faa0d1ecebebbed86452b3e4c951491eb2b48892b06ac1d156]"
},
"R6": {
"serializedValue": "0e20ad0add8d841557bce54f6522cc1e1b7245dd5683f5335ef06f2339e319eccece",
"sigmaType": "Coll[SByte]",
"renderedValue": "ad0add8d841557bce54f6522cc1e1b7245dd5683f5335ef06f2339e319eccece"
},
"R7": {
"serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
}
},
"spentTransactionId": "353e4a2853a907c10edba91ab870d3bb229f566d56b213d35cc76096c0cb0132",
"mainChain": true
},
{
"boxId": "d562efcb916953c785fc454e3600e04ca4a14791e1efd1c479ba5a1d01bd69a7",
"transactionId": "1c7d2f896f773235e6fd595042e3e7bca5812efd626325e8246a41a9a6a10338",
"blockId": "3d35f82214de0d7a1fe236127201b6127263a1122c84601329924ed1e9d8b6dc",
"value": 1961900000,
"index": 2,
"globalIndex": 28625578,
"creationHeight": 991627,
"settlementHeight": 991630,
"ergoTree": "0008cd02a4ee8e4fe205006cfd0650907b1a4f8e5276e9f339b8357100d0d3be96c9c088",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a4ee8e,174754,...)))}",
"address": "9fmhUgFVmTLz6CQ3Y5tWdGrBAxeYYjdCLkMz31Y3QHofyAj1FNW",
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}