Transaction
ID: f412f9c361...0af2
Inputs (11)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 775,424
Total coins transferred: 0.0121 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000632 ERG
Raw Transaction Data
{
"id": "f412f9c361f46095556959b419c2021acb3a263c16beb55d8546d563b2b50af2",
"blockId": "c8aab2369dbe4ccbe53279167a03071d894b31662452b5c543175b21e66b49cd",
"inclusionHeight": 994406,
"timestamp": 1682954892313,
"index": 8,
"globalIndex": 5130268,
"numConfirmations": 775424,
"inputs": [
{
"boxId": "e706a557b68b6388c86ce53df97cda911e475d16a17f4ddd45f0a9a56954eeef",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f9c237ab78ef5be339e47261f3d09abe8a9aebc9fa1d257ba0e74e61e1e75cd7",
"outputTransactionId": "02ab8344d4e53dc07df977eccb1d247df3f34724ba1c250c6967045f1365909f",
"outputIndex": 1,
"outputGlobalIndex": 28749723,
"outputCreatedAt": 994385,
"outputSettledAt": 994390,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0]"
},
"R5": {
"serializedValue": "1a0120900b7b807b3d0f24c498d625337cd3f3ae55bb3fe02c9671ad6c3b531f088125",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[900b7b807b3d0f24c498d625337cd3f3ae55bb3fe02c9671ad6c3b531f088125]"
},
"R6": {
"serializedValue": "0e20ff5ffd698a3b66682c7be2e550ce87e9cc3b4e98f7096b23a40d57154b3b67e7",
"sigmaType": "Coll[SByte]",
"renderedValue": "ff5ffd698a3b66682c7be2e550ce87e9cc3b4e98f7096b23a40d57154b3b67e7"
},
"R7": {
"serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
}
}
},
{
"boxId": "2ec9c54291b0c14ba9d79296326a5818ad3b1c6b7ca449ecd43f0e9007319cd6",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "f9c237ab78ef5be339e47261f3d09abe8a9aebc9fa1d257ba0e74e61e1e75cd7",
"outputTransactionId": "251c3bbe7ecb74a6344919841dccc204b23a54eeb2a095d46640647321fc9ba0",
"outputIndex": 1,
"outputGlobalIndex": 28749727,
"outputCreatedAt": 994385,
"outputSettledAt": 994390,
"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": "1a01209ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a]"
},
"R5": {
"serializedValue": "1a0120900b7b807b3d0f24c498d625337cd3f3ae55bb3fe02c9671ad6c3b531f088125",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[900b7b807b3d0f24c498d625337cd3f3ae55bb3fe02c9671ad6c3b531f088125]"
},
"R6": {
"serializedValue": "0e204bd99d7d579a5b95bf1dda5e03fddc75e5c78946499f8828c93d6767f6609080",
"sigmaType": "Coll[SByte]",
"renderedValue": "4bd99d7d579a5b95bf1dda5e03fddc75e5c78946499f8828c93d6767f6609080"
},
"R7": {
"serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
}
}
},
{
"boxId": "513fd91a981f940dc8a233ccfe9ea2ce14d5b87b4a3bca6f39000f1e76f7c94b",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "f9c237ab78ef5be339e47261f3d09abe8a9aebc9fa1d257ba0e74e61e1e75cd7",
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[900b7b807b3d0f24c498d625337cd3f3ae55bb3fe02c9671ad6c3b531f088125]"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "e9fd86dcba1797e35769543fb110d8f4a6123f6c626d40a8f868474de1c44e3f"
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"sigmaType": "Coll[SByte]",
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"spendingProof": null,
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"outputTransactionId": "869ee59622c8049b2e67aff657440e42b67ee4c5a4f353dd102028603e42cf8e",
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"name": "Cardano-RWT.V-test2",
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{
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"name": "Cardano-RWT.V-test2",
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"type": "EIP-004"
}
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f]"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[900b7b807b3d0f24c498d625337cd3f3ae55bb3fe02c9671ad6c3b531f088125]"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "9947a0e89db9d0dc1d681e0aab30362a1a0e110bd7380b336f64b84cf0a7ce2c"
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"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
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"index": 7,
"spendingProof": null,
"outputBlockId": "f9c237ab78ef5be339e47261f3d09abe8a9aebc9fa1d257ba0e74e61e1e75cd7",
"outputTransactionId": "edcd6fc33ed8267abf9536f5d864b4ea883775cb365d603752c60920dfaf1711",
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"name": "Cardano-RWT.V-test2",
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"type": "EIP-004"
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7]"
},
"R5": {
"serializedValue": "1a0120900b7b807b3d0f24c498d625337cd3f3ae55bb3fe02c9671ad6c3b531f088125",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[900b7b807b3d0f24c498d625337cd3f3ae55bb3fe02c9671ad6c3b531f088125]"
},
"R6": {
"serializedValue": "0e206198061f9055321864883e19be7091d7b59341500d05b241a45b95478a3a0d20",
"sigmaType": "Coll[SByte]",
"renderedValue": "6198061f9055321864883e19be7091d7b59341500d05b241a45b95478a3a0d20"
},
"R7": {
"serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
}
}
},
{
"boxId": "709fc5354881d016aad93397afa80d6420692e984c67079e8bb954c6bb50cf19",
"value": 1100000,
"index": 9,
"spendingProof": "16b1b284428e918ddbbd16100f3bb8f448244f8d160712fc8cd9c50b521b6b653353733d453b7d502ccdf1961f1974254314711504dc90ab",
"outputBlockId": "0395f737f515daea0506439ad902060426da229911eb26571e07c0d876d253a2",
"outputTransactionId": "6896b81f8a0ba1cb66f846739a430bf868dc39c86e6347fcc1088d88957779cc",
"outputIndex": 3,
"outputGlobalIndex": 28742119,
"outputCreatedAt": 994219,
"outputSettledAt": 994223,
"ergoTree": "0008cd02508f0d72a48fe328a1b31873710582ff7ccc1224950b67bf7d179228aac0233d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(508f0d,c7df75,...)))}",
"address": "9f8YHGxeAM3f1PnTZsV3VGFpzDMcPcssAyy9dPGK4UB3AnmTZ4z",
"assets": [
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 0,
"amount": 2,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "8f5aa4f032c04a5ad3920e4fde2f45e3c0f9fa367a14bce34e6068ea0dbf0981",
"value": 1100000,
"index": 10,
"spendingProof": "018e9ee448dce646b23c842d6d11f2fe57d172cc1e47562994d4dea27c45e5b0719b9f886483e672de4932a8455f5a4f595143c430800bbd",
"outputBlockId": "bdd2414f400b6b033c401ee6f8ccefb9dc53eba9fc87e347f28e87e9e34d1806",
"outputTransactionId": "ccc2607727b4d937c8c8231d7a7df4658821fdb6a94bb9df0bee7108a0598237",
"outputIndex": 1,
"outputGlobalIndex": 28742467,
"outputCreatedAt": 994236,
"outputSettledAt": 994239,
"ergoTree": "0008cd02508f0d72a48fe328a1b31873710582ff7ccc1224950b67bf7d179228aac0233d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(508f0d,c7df75,...)))}",
"address": "9f8YHGxeAM3f1PnTZsV3VGFpzDMcPcssAyy9dPGK4UB3AnmTZ4z",
"assets": [
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 0,
"amount": 4,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "c9a56cdfb97ca2c8d86ab7b5ddf4110df064c6e1e3d24ff24720c870f1d20fdd",
"value": 1100000,
"index": 0,
"outputBlockId": "0be27064be55f2ab9c3fe78834793bad8520937c42e4f5fb672d5a3a1a982d47",
"outputTransactionId": "fc629409d9e8411f663a54e51e2390c83b94b8bb1915f8b0c41716e3aefba598",
"outputIndex": 0,
"ergoTree": "1022040204000e206721f30af5d1063bf0fd7dd2842e55f419bc79f4f1acb664352f2a02cc3c501701010402040004020404040404000400040104020404040004000e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d704010402040204000400040004020400040004000400040204020400040004000400d802d601b2a4730000d6028cb2db6308720173010001959372027302d17303d811d603db6308a7d604b27203730400d6058c720402d606b2a5730500d607db63087206d608b27207730600d6098c720802d60ae4c6a70611d60bb27207730700d60c8c720b02d60db27203730800d60e8c720d02d60f9683050193c27206c2a793e4c672060611720a938cb27207730900018cb27203730a0001938c7208018c720401938c720b018c720d01d610e4c6a70511d611b17210d612e4c672060511d613b17212959172057209d805d614e5c672060704730bd6159972057209d616b2a5730c00d617b2a5730d00d61896830401720f939c7215b2720a730e0099720c720e938cb2db63087216730f0002721593cbc272167310959372147311d804d619e4c67206041ad61a9a72117312d61b9972137313d61cc5a7d196830901721893b17219721a93b472197314721be4c6a7041a93b27219721b00721c937213721a93b472127315721b721093b27212721b00721593e4c67216041a83010e721c938cb2db6308721773160001721cd803d619e4c6a7041ad61ab27219721400d61b9a72147317d196830801721893721a720293e4c67206041a721993b272127214009ab27210721400721593b4721273187214b472107319721493b47212721b7213b47210721b721393e4c67216041a83010e721a938cb2db63087217731a0001721ad804d614e4c6a7041ad615e4c672060704d6169972097205d617b27210721500d196830401720f9383010eb27214721500e4c67201041a939c7216b2720a731b0099720e720c959172177216968302019372179ab272127215007216937214e4c67206041ad803d618e4c67206041ad6199a7215731cd61a997211731d96830501937217721693b47214731e7215b47218731f721593b4721472197211b472187215721a93b4721073207215b472127321721593b4721072197211b472127215721a",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0a0763617264616e6f20050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f200232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0209ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a20ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7205c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb20794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb72072eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef63920a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab520c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f,0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0,9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a,ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7,5c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb,794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7,72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639,a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5,c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d]"
},
"R5": {
"serializedValue": "110a00a09c01a09c01a09c01a09c01a09c01a09c01a09c01a09c01a09c01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,10000,10000,10000,10000,10000,10000,10000,10000,10000]"
},
"R6": {
"serializedValue": "1104c8018c010228",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,70,1,20]"
}
}
}
],
"outputs": [
{
"boxId": "a7efaef7426b886e5e3402d0803bcf8c0a5abad2750639590c7b5caa8fd5ddb8",
"transactionId": "f412f9c361f46095556959b419c2021acb3a263c16beb55d8546d563b2b50af2",
"blockId": "c8aab2369dbe4ccbe53279167a03071d894b31662452b5c543175b21e66b49cd",
"value": 9900000,
"index": 0,
"globalIndex": 28750285,
"creationHeight": 994401,
"settlementHeight": 994406,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(55,114,-70,2,110,-28,-123,117,-52,-48,-98,-100,-113,-3,-41,2,-75,47,14,43,-103,18,114,113,85,-4,-13,32,60,-80,80,-68)\n3: 1\n4: 0\n5: Coll(36,110,-75,-35,57,-95,29,-106,-46,-68,115,115,-77,22,104,53,-4,114,-103,-117,4,93,103,-22,122,-36,-24,66,-60,88,90,98)\n6: 7200\n7: Coll(43,-62,101,33,114,37,29,97,92,1,-33,-22,-90,105,-107,67,5,50,-27,-81,13,83,-74,3,-80,-113,-79,-84,54,121,4,-33)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)\n }), if (coll5 == placeholder[Coll[Byte]](2)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5), HEIGHT - placeholder[Int](6) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](7) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "21oSXpSmAC6qayCbrgqHPjU8LaNbB41kxUySN91Yjb22ygCMuG89Gu26CpS3coqGDw1e5BaE5i9ysiexzajpTaPnPeKvsPksDK1iLrjvNbNDpmYCn5nonSb23u7AKBm4rkaVgxWzTQU8pFQyAzmpT4zcyBTTEMV4DCvuNZx8AfBYbef6iXnmCRZJv6JZ4MDJnjGS6VdtfsZcnezDX6rBVz89ukeh24PJGHftbgWwt6yRmSeXGyUSEfwp6b5VYMaMumvLuSMRXK5Wz87qYu5wWwuBPvtStkegrKNojETYCtckLKR3sD4TRtjSumd9E3iDYgAmcQ4bXdhbDoMPhCB7E8zgHQXH5QhXv3u4ygErfkb3giWJbD",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 9,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0,9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a,5c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb,c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d,72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639,a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5,050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f,794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7,ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[34613533353536303065323538373234633362383266363062396239366132336638633536353463336563343337626366333537646631343038653735303830,63617264616e6f,6572676f,616464723171383372757734646c6c6665797a6334346e7a63683678773971776566393032686a6a777570706b366675717638793467636a6a7437306663796678663935796b6d34656371343875746464747037306e73373773397830306a7a73653238713468,39667a5554706855696b6271313542466f626b7574434879596a5651465946694d634b7169745a56457254414a6d6e78646478,000000077f450200,0000000077359400,00000000001e8480,61737365743165707a37677a6a7167357079347872677073366363763235677a3767643676386535676d7878,657267,66666566663936373065636633623162316565356239386166616362353032376638313135643363366539646465663638666266353435653564303930653165,00000000008506bc]"
},
"R6": {
"serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
}
},
"spentTransactionId": "453e0d37d3a8bb8287b8dd3c8f171c3d6412e4b2c5d251f358440c263a9d0886",
"mainChain": true
},
{
"boxId": "4e58434a839adc10badbbb89c3f1ba389cc4e1782efe79d389715778edefe229",
"transactionId": "f412f9c361f46095556959b419c2021acb3a263c16beb55d8546d563b2b50af2",
"blockId": "c8aab2369dbe4ccbe53279167a03071d894b31662452b5c543175b21e66b49cd",
"value": 1100000,
"index": 1,
"globalIndex": 28750286,
"creationHeight": 994401,
"settlementHeight": 994406,
"ergoTree": "0008cd02508f0d72a48fe328a1b31873710582ff7ccc1224950b67bf7d179228aac0233d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(508f0d,c7df75,...)))}",
"address": "9f8YHGxeAM3f1PnTZsV3VGFpzDMcPcssAyy9dPGK4UB3AnmTZ4z",
"assets": [
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 0,
"amount": 6,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "afe05da3b6997407454031a3d135912074d9d92055ce0aad9e0eb97808bd8d48",
"mainChain": true
},
{
"boxId": "a4c5795d3fd4df1cbbd6348d8888385e2eb8d97ec3cc12bfa4a5509a2d6d595a",
"transactionId": "f412f9c361f46095556959b419c2021acb3a263c16beb55d8546d563b2b50af2",
"blockId": "c8aab2369dbe4ccbe53279167a03071d894b31662452b5c543175b21e66b49cd",
"value": 1100000,
"index": 2,
"globalIndex": 28750287,
"creationHeight": 994401,
"settlementHeight": 994406,
"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": "7e7b73413c3b8e7e58518698dede0e990e505c9dc78760d53e67405f8fced5fc",
"mainChain": true
}
],
"size": 1741,
"isUnconfirmed": false
}