Transaction
ID: 2ba18df8af...6131
Inputs (12)
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...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 780,530
Total coins transferred: 0.0132 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000589 ERG
Raw Transaction Data
{
"id": "2ba18df8afb8d331de78efdf0ea2df59dc87b35cd88525f1747f368428416131",
"blockId": "1d862ed3ee24704e58e6c13ae8a54d348410b7a15acb6f0c931668aac2bff3b4",
"inclusionHeight": 979586,
"timestamp": 1681149068374,
"index": 13,
"globalIndex": 5027850,
"numConfirmations": 780530,
"inputs": [
{
"boxId": "495a91bdb142605770e6ef8d1d17c25db013c2e7cec01b3cd73b278809e3fe72",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "498d5a813b8aadac1d95129549e612774ec369b44f7616ff1d588a96b300fd7e",
"outputTransactionId": "0661aa0ca23b16e4ef740cd9bebbe941065d428f5493901d406ef163d5eafded",
"outputIndex": 1,
"outputGlobalIndex": 28167966,
"outputCreatedAt": 979571,
"outputSettledAt": 979573,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\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": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1]"
},
"R5": {
"serializedValue": "1a012030bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13]"
},
"R6": {
"serializedValue": "0e207ebfc7d626b8cb7e47688702f8994ea1a79e1d922dd21bfe6d4f92f4ec6c0c03",
"sigmaType": "Coll[SByte]",
"renderedValue": "7ebfc7d626b8cb7e47688702f8994ea1a79e1d922dd21bfe6d4f92f4ec6c0c03"
},
"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
}
},
{
"boxId": "eb89117903dd2829295222b8315e20951003def5ad2e54cc8e62826389896dc8",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "498d5a813b8aadac1d95129549e612774ec369b44f7616ff1d588a96b300fd7e",
"outputTransactionId": "0e354b55d096dad7e3c8a9b2cc2a1c093c252ba76b54220fe835b32939022341",
"outputIndex": 1,
"outputGlobalIndex": 28167971,
"outputCreatedAt": 979571,
"outputSettledAt": 979573,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\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": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea]"
},
"R5": {
"serializedValue": "1a012030bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13]"
},
"R6": {
"serializedValue": "0e20ea5d9f49127ffb38d680eed1cfc122eb764c60b84437eaa2556ca30f145e3978",
"sigmaType": "Coll[SByte]",
"renderedValue": "ea5d9f49127ffb38d680eed1cfc122eb764c60b84437eaa2556ca30f145e3978"
},
"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
}
},
{
"boxId": "7c6bfa478239dd12c21c6c79d2e97dd08b199440df4676bacbd6429eda5c4664",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "498d5a813b8aadac1d95129549e612774ec369b44f7616ff1d588a96b300fd7e",
"outputTransactionId": "287a60f2f6ce3b7bfa60df29be80cdf79380f0dace781720680fcef6cff8e8ab",
"outputIndex": 1,
"outputGlobalIndex": 28167976,
"outputCreatedAt": 979571,
"outputSettledAt": 979573,
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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": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba]"
},
"R5": {
"serializedValue": "1a012030bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13]"
},
"R6": {
"serializedValue": "0e20b65f65e5ba565abeafad5b358eb724f287df0727ec45688746260d405dae4f00",
"sigmaType": "Coll[SByte]",
"renderedValue": "b65f65e5ba565abeafad5b358eb724f287df0727ec45688746260d405dae4f00"
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"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
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{
"boxId": "1c674c0e2f7f2814d67c6f97bc58c9af568a8775695732decc8d40c60fcceac7",
"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "498d5a813b8aadac1d95129549e612774ec369b44f7616ff1d588a96b300fd7e",
"outputTransactionId": "3cc7e13131ca03a82365d78914837ee72090bf3a5d49dffa8678c8af22615a99",
"outputIndex": 1,
"outputGlobalIndex": 28167981,
"outputCreatedAt": 979571,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\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": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7dc9b5fd90c4343d48baddc8a7df8b005dd25a2765dadcabd6bfdcc337bcc292]"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13]"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "67042c6341a63954f55cae5c312f177d73f8e9135e73a92978679a1b7c57006c"
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"R7": {
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"sigmaType": "Coll[SByte]",
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{
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"index": 4,
"spendingProof": null,
"outputBlockId": "498d5a813b8aadac1d95129549e612774ec369b44f7616ff1d588a96b300fd7e",
"outputTransactionId": "8e3e3f425c88427385edaa8e842b1013918119840f74116ca060a6f038ecda9e",
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"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\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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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012035f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[35f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c]"
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"R5": {
"serializedValue": "1a012030bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13]"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "472681f617367995dffc7335893f0558313d9e1dd9168c5145f5c8ff21d79ab4"
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"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
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{
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"value": 1100000,
"index": 5,
"spendingProof": null,
"outputBlockId": "498d5a813b8aadac1d95129549e612774ec369b44f7616ff1d588a96b300fd7e",
"outputTransactionId": "967d718ae9828c8eb480b4065498c05777bbda22b9e4013c1245e12d6384bb22",
"outputIndex": 1,
"outputGlobalIndex": 28167991,
"outputCreatedAt": 979571,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\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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"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0ea77346ecd826701113ef3596670f85ec0d4a000d37a06a762ba14623f360f3]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13]"
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"sigmaType": "Coll[SByte]",
"renderedValue": "a721c7f07756ae0a86656f42fc8e18a393f794ee55476e974c3b0eb3cfe4285c"
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"R7": {
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"sigmaType": "Coll[SByte]",
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{
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"index": 6,
"spendingProof": null,
"outputBlockId": "498d5a813b8aadac1d95129549e612774ec369b44f7616ff1d588a96b300fd7e",
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\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": [
{
"tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100]"
},
"R5": {
"serializedValue": "1a012030bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13]"
},
"R6": {
"serializedValue": "0e201c16ad89b6d2a98f531339bf3aaa8da6e55a148b09c9427be4ead855eeb8002d",
"sigmaType": "Coll[SByte]",
"renderedValue": "1c16ad89b6d2a98f531339bf3aaa8da6e55a148b09c9427be4ead855eeb8002d"
},
"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
}
},
{
"boxId": "807d78bcfb1cc843511ba8da232635812a4309ce3679aeee0ce2ad24c07b5e64",
"value": 1100000,
"index": 7,
"spendingProof": null,
"outputBlockId": "498d5a813b8aadac1d95129549e612774ec369b44f7616ff1d588a96b300fd7e",
"outputTransactionId": "ca6be526a8f00ead11873bdcfb17505187177dbdcf7fe08d560372b87d4a0bea",
"outputIndex": 1,
"outputGlobalIndex": 28168001,
"outputCreatedAt": 979571,
"outputSettledAt": 979573,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\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": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
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"R4": {
"serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
},
"R5": {
"serializedValue": "1a012030bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13]"
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"R6": {
"serializedValue": "0e207afae61a7297375e00d38b2852047fdcf2e35dad547468fe456b97f0e7ca0763",
"sigmaType": "Coll[SByte]",
"renderedValue": "7afae61a7297375e00d38b2852047fdcf2e35dad547468fe456b97f0e7ca0763"
},
"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
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{
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"value": 1100000,
"index": 8,
"spendingProof": null,
"outputBlockId": "498d5a813b8aadac1d95129549e612774ec369b44f7616ff1d588a96b300fd7e",
"outputTransactionId": "f2628335a70e01836f68402519a083d5b9f60434c7ff84b35439e112cd4f17da",
"outputIndex": 1,
"outputGlobalIndex": 28168006,
"outputCreatedAt": 979571,
"outputSettledAt": 979573,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\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": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01205cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e]"
},
"R5": {
"serializedValue": "1a012030bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13]"
},
"R6": {
"serializedValue": "0e20552dfd47bcc8866832ba1438fe3a9d3c308daa0817d7e1858ae81075141d0924",
"sigmaType": "Coll[SByte]",
"renderedValue": "552dfd47bcc8866832ba1438fe3a9d3c308daa0817d7e1858ae81075141d0924"
},
"R7": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
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},
{
"boxId": "698d13850ef969278cd7a0ab3af2f9b16ad6e4ccdaa821296324bee98b9b28b5",
"value": 1100000,
"index": 9,
"spendingProof": null,
"outputBlockId": "498d5a813b8aadac1d95129549e612774ec369b44f7616ff1d588a96b300fd7e",
"outputTransactionId": "f4a2a5eedb3e64ab94480e2df4058835a3e0ed692adc428f3b1befa1c03a7e3b",
"outputIndex": 1,
"outputGlobalIndex": 28168011,
"outputCreatedAt": 979571,
"outputSettledAt": 979573,
"ergoTree": "101c04000e204e6d138296e90b6477526f2afac5e61ce1b2cf772bf9d78e558663a0926af5b004000200020004020400010004000400040004000400040604040402050205c8010500040204000400020004000400040204000400d80bd601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607c67205051ad608e67207d609957208b0e472078301027303d901093c0e0eb38c7209018c7209028301027304d60ab472097305b17209d60bb2a5730600957203d801d60cb2b5a5d9010c63d801d60ec6720c041a95e6720e93e4720e72047307730800d19683040193cbc2720ce4c6a7070e938cb2db6308720c730900018cb2db6308a7730a0001efae7206d9010d0e93720483010e720d93cbb3720ab27204730b00e4c6a7060ed801d60ccbc2720b9593720c7202d806d60db5a4d9010d6393c2a7c2720dd60eb1720dd60fb2db6501fe730c00d610e4c6720f0611d611b27210730d00d6129ab27210730e009d9cb27210730f00997eb1e4c6720f041a0573107311d19683080192c1720bb0ad720dd9011363c172137312d90113599a8c7213018c72130293b1b5720dd901136393e4c67213041a72047313ae7206d901130e9383010e7213720493e4c67205060ee4c6a7070e93b17206720e93cbb3720ab27204731400e4c6a7060e93e4c6a7051a83010e957208cbb2e472077315008301027316917e720e05958f7211721272117212d19683050193c5a7c57201938cb2db6308720b731700018cb2db6308a77318000193e4c6720b041a7204938cb2db6308b2a4731900731a0001b27204731b0093720ce4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\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": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0e83836f818a16766ac7490c5eee7abdc9357e6bb955641ff8ac56412bf576d0]"
},
"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30bd65a7f7a493381ae65b41597aa16c24eaeb55f8fd5ef7fa82d4d62928fa13]"
},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "1764d0d7ffdf35c37c8701b49818b037ded6ba059a155fe71cd74d649539daee"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
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{
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"spendingProof": "0b0e07f5e04a829e9ce28c5033e8248d47f31db8b3f493535b795e4930b964f789c7feff45f50c10bdab614a08476569e3bec81ee5ddc6c1",
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"outputGlobalIndex": 27932677,
"outputCreatedAt": 972976,
"outputSettledAt": 972978,
"ergoTree": "0008cd03a096cf8e0d2a5de5d3a1af5724c5b4bea0fa5928766df577ad5bb4d746b4f8d2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a096cf,b01cec,...)))}",
"address": "9hgXiyjg5LUVLkVBPBD7LYiaRnAPmXqyvRcKnqFsjLb9tCpoyvB",
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"name": "RSN.V-test",
"decimals": 0,
"type": "EIP-004"
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{
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"outputGlobalIndex": 27952487,
"outputCreatedAt": 973552,
"outputSettledAt": 973556,
"ergoTree": "0008cd03a096cf8e0d2a5de5d3a1af5724c5b4bea0fa5928766df577ad5bb4d746b4f8d2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a096cf,b01cec,...)))}",
"address": "9hgXiyjg5LUVLkVBPBD7LYiaRnAPmXqyvRcKnqFsjLb9tCpoyvB",
"assets": [
{
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"index": 0,
"amount": 75,
"name": "RSN.V-test",
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"type": "EIP-004"
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"dataInputs": [
{
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"value": 1100000,
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"outputTransactionId": "fb5a3e9969bc283bd1e10a09ecefa25963da427a6952360dee9a6781dec31517",
"outputIndex": 0,
"ergoTree": "101c040204000e20b039e4445337697deaad703fc8d1fcb129c4577e8673394fa2403e54d484eeda0101040204000402040404040400040004020402040204000400040004000e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20040404000400040204020400040004000400d801d601b2a473000095938cb2db63087201730100017302d17303d811d602db6308a7d603b27202730400d6048c720302d605b2a5730500d606db63087205d607b27206730600d6088c720702d609e4c6a70511d60ab17209d60be4c672050511d60cb1720bd60de4c6a70611d60eb27206730700d60f8c720e02d610b27202730800d6118c721002d6129683050193c27205c2a793e4c672050611720d938cb27206730900018cb27202730a0001938c7207018c720301938c720e018c721001959172047208d806d613e4c67205041ad6149a720a730bd61599720c730cd616c5a7d6179972047208d618b2a5730d00d196830c01721293b17213721493b47213730e7215e4c6a7041a93b27213721500721693720c721493b4720b730f7215720993b2720b7215007217939c7217b2720d73100099720f7211938cb2db6308721873110002721793cbc27218731293e4c67218041a83010e7216938cb2db6308b2a5731300731400017216d804d613e4c6a7041ad614e4c672050704d6159972087204d616b27209721400d19683040172129383010eb27213721400e4c67201041a939c7215b2720d731500997211720f959172167215968302019372169ab2720b7214007215937213e4c67205041ad803d617e4c67205041ad6189a72147316d61999720a731796830501937216721593b4721373187214b472177319721493b472137218720ab472177214721993b47209731a7214b4720b731b721493b472097218720ab4720b72147219",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0b046572676f20307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea2097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e24720549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad12035f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c207dc9b5fd90c4343d48baddc8a7df8b005dd25a2765dadcabd6bfdcc337bcc292200e83836f818a16766ac7490c5eee7abdc9357e6bb955641ff8ac56412bf576d020ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc10020e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba200ea77346ecd826701113ef3596670f85ec0d4a000d37a06a762ba14623f360f3205cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6572676f,307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea,97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247,549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1,35f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c,7dc9b5fd90c4343d48baddc8a7df8b005dd25a2765dadcabd6bfdcc337bcc292,0e83836f818a16766ac7490c5eee7abdc9357e6bb955641ff8ac56412bf576d0,ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100,e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba,0ea77346ecd826701113ef3596670f85ec0d4a000d37a06a762ba14623f360f3,5cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e]"
},
"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": "a83e4dfcdca60a88e8896cc27df5d6309ea7630168cf9f80402f8ec92fb608eb",
"transactionId": "2ba18df8afb8d331de78efdf0ea2df59dc87b35cd88525f1747f368428416131",
"blockId": "1d862ed3ee24704e58e6c13ae8a54d348410b7a15acb6f0c931668aac2bff3b4",
"value": 11000000,
"index": 0,
"globalIndex": 28168393,
"creationHeight": 979584,
"settlementHeight": 979586,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-67,102,62,43,69,125,66,119,20,61,66,-32,-38,-24,33,73,-18,15,41,-119,-44,14,-39,-97,67,86,78,-58,-10,-55,-33,-1)\n3: 1\n4: 0\n5: Coll(101,33,76,-91,63,-65,9,-64,-121,93,113,-10,127,40,-96,71,26,77,109,79,102,-61,-118,-28,123,106,65,126,100,95,104,-3)\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": "21oSXpSmAC6qpaSpnMff4uYgpsaCjJ6q8tnvnE3MGp5QjNrtqGSHjip4VcuDGGeuMVg1RH9dxfWhT4LwJZrnwBvTkztYv4wLTXRz8Cwr9ENigonokQBnQiT7d5GDyzuedPdYVKGezdqDWrL56BWRe9NZgP56x5r7kxw9koHjQFAJ9RJADQrUKyKnvyk9jHmK1auNUik23CMK2SxedeWg1HkEYhrdvucvfyJ6hJZqbMbhuh6uYY5XPXLfJuz6kNNnWXb7pv4FtoNZXnRbx4uZcVjYGLV88pETGTyCTpjK8e1VHxBTyY2zPF4efLnYxkvrG8YT31nn5ctrFtKtbDG5etZeomMT1f73aLS7Fu42cxhzvRouxL",
"assets": [
{
"tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
"index": 0,
"amount": 10,
"name": "Ergo-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[549f37b65bf1c38e24132eeebe9053e8c1e8798a622cd0b3eccda1944ce9aad1,307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea,e8d2e63d683f57b1dc19bd554a316954703b74b1ebf7459f8b9cb8316dc6e6ba,7dc9b5fd90c4343d48baddc8a7df8b005dd25a2765dadcabd6bfdcc337bcc292,35f401c431c3adcd4675177be89cc05c70a45de782e93dc226c545e38e37b95c,0ea77346ecd826701113ef3596670f85ec0d4a000d37a06a762ba14623f360f3,ba094ca44078a94c780eb7df8e0e8ddcefda1d819bc026250c327b5f044fc100,97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247,5cea78cd9e83ad6de5ae2b4a44494507dd74a8c13223621edfc553b902d5bf7e,0e83836f818a16766ac7490c5eee7abdc9357e6bb955641ff8ac56412bf576d0]"
},
"R5": {
"serializedValue": "1a0c4031353436306630343762343930656136323662396664313338356464643230306463366366666164363466343166393365616635633339383463333964343865046572676f0763617264616e6f3339656e58535558714463426b444e6f4c53724b4c7a3364694464435658415559366e436652396e6f58393150716248796a364b6761646472317139797861796171613768377268787371686c773577347278636678346e73736e65716b373966663578756135336c6a7733643774676e7936356d386c773430753575637a6c3567306676386c6477356c71706575326178386461716a3874717765080000000075ea47e40800000000012ddce1080000000000061a8040613131343365383163356162343835613830376536663066373661663164643730636335333539623239653062313232396430656466653439306433336236372c6173736574317632356579656e667a7276366d653968773476637a6670726463747a7935656433783939703240303033663539623632663165323334306462343864393763313636333731313033343866356535306337663430373332343763376630393761303737663830370800000000000ef262",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[31353436306630343762343930656136323662396664313338356464643230306463366366666164363466343166393365616635633339383463333964343865,6572676f,63617264616e6f,39656e58535558714463426b444e6f4c53724b4c7a3364694464435658415559366e436652396e6f58393150716248796a364b,61646472317139797861796171613768377268787371686c773577347278636678346e73736e65716b373966663578756135336c6a7733643774676e7936356d386c773430753575637a6c3567306676386c6477356c71706575326178386461716a3874717765,0000000075ea47e4,00000000012ddce1,0000000000061a80,61313134336538316335616234383561383037653666306637366166316464373063633533353962323965306231323239643065646665343930643333623637,6173736574317632356579656e667a7276366d653968773476637a6670726463747a79356564337839397032,30303366353962363266316532333430646234386439376331363633373131303334386635653530633766343037333234376337663039376130373766383037,00000000000ef262]"
},
"R6": {
"serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
}
},
"spentTransactionId": "3dd7eaa9aad43085f3b8d6a9c251c415a8498df1145029b501ae6f3b5f216593",
"mainChain": true
},
{
"boxId": "798dba4a4c29e9d344ab29bac7e5aea2b504874225d4a18b042a65b9968c8309",
"transactionId": "2ba18df8afb8d331de78efdf0ea2df59dc87b35cd88525f1747f368428416131",
"blockId": "1d862ed3ee24704e58e6c13ae8a54d348410b7a15acb6f0c931668aac2bff3b4",
"value": 1100000,
"index": 1,
"globalIndex": 28168394,
"creationHeight": 979584,
"settlementHeight": 979586,
"ergoTree": "0008cd03a096cf8e0d2a5de5d3a1af5724c5b4bea0fa5928766df577ad5bb4d746b4f8d2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a096cf,b01cec,...)))}",
"address": "9hgXiyjg5LUVLkVBPBD7LYiaRnAPmXqyvRcKnqFsjLb9tCpoyvB",
"assets": [
{
"tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
"index": 0,
"amount": 79,
"name": "RSN.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "20b1128d11c7e253b843ec51ebe87d48a002fff0c37aeae8e4f8b7523c018812",
"transactionId": "2ba18df8afb8d331de78efdf0ea2df59dc87b35cd88525f1747f368428416131",
"blockId": "1d862ed3ee24704e58e6c13ae8a54d348410b7a15acb6f0c931668aac2bff3b4",
"value": 1100000,
"index": 2,
"globalIndex": 28168395,
"creationHeight": 979584,
"settlementHeight": 979586,
"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": "03cf47f89e33bfe15518dc1654877e237ebf4e8ed0d05f6ecfab66f7f7022551",
"mainChain": true
}
],
"size": 1869,
"isUnconfirmed": false
}