Transaction
ID: cb21f87c15...f202
Inputs (8)
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:
Spent
Address:
Output transaction:
Settlement height:
Value:
1.74 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0066 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.74 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 678,935
Total coins transferred: 1.74 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000661 ERG
Raw Transaction Data
{
"id": "cb21f87c15fb0a756665e4728911e654af028f17f1f9f3b2e594ea357e49f202",
"blockId": "0b304a042b2de701050a329cbaa43b2b44f9cffb353d39c524bd1c693a23683c",
"inclusionHeight": 1089917,
"timestamp": 1694579959078,
"index": 5,
"globalIndex": 5820348,
"numConfirmations": 678935,
"inputs": [
{
"boxId": "074ed5b72672885388f42a3ae503d86f120bcdd09f14e21ace0b38e19dfa9d3c",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "96d5526448515ff90f1489b55b36278578d9b5dcb49cdf5b5a82dc0c551f4b7a",
"outputTransactionId": "36e468cdcc4507d310a31aa0c0baf360866b76d0a422b54c01e80c98b9394ede",
"outputIndex": 1,
"outputGlobalIndex": 32575926,
"outputCreatedAt": 1089884,
"outputSettledAt": 1089886,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(66,11,46,-97,-78,-68,-35,-19,-1,101,11,-26,59,26,-53,-62,107,-64,-67,-35,37,91,0,50,80,-121,-86,85,-107,-88,-102,58)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 3\n12: 2\n13: 1\n14: 1\n15: 100\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\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 coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val coll12 = INPUTS.filter({(box12: Box) => SELF.propositionBytes == box12.propositionBytes })\n val i13 = coll12.size\n val l14 = i13.toLong\n val box15 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12)) + coll16(placeholder[Int](13)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](14) / placeholder[\n Long\n ](15)\n val tuple19 = SELF.tokens(placeholder[Int](16))\n val l20 = coll16(placeholder[Int](17))\n val tuple21 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box10.value >= coll12.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](19), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll12.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](20), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i13, blake2b256(coll9.append(coll4(placeholder[Int](21)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](blake2b256(coll7(placeholder[Int](22)))), l14 > if (l17 < l18) { l17 } else {\n l18\n }, tuple19._2 == l20, tuple21._2 == l20 * l14, tuple21._1 == tuple19._1\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](23))\n val tuple13 = SELF.tokens(placeholder[Int](24))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "3825b2b4acaaaba626440113153246c65ddb2e9df406c4a56418b5842c9f839a",
"index": 0,
"amount": 10000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208abd3c4a0e14dd3632919a758ccfee875cfcf8ea7e0ec85844d4188834fd602d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8abd3c4a0e14dd3632919a758ccfee875cfcf8ea7e0ec85844d4188834fd602d]"
},
"R5": {
"serializedValue": "1a012037c40c61715cde3ea41441d0c342bcf53c8977616a431b7ab9672190808c709d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[37c40c61715cde3ea41441d0c342bcf53c8977616a431b7ab9672190808c709d]"
},
"R6": {
"serializedValue": "0e20e8a73e8982ddd2d7c0431d7499853a9922e78de5bf728b4c2db7be8f43323de0",
"sigmaType": "Coll[SByte]",
"renderedValue": "e8a73e8982ddd2d7c0431d7499853a9922e78de5bf728b4c2db7be8f43323de0"
},
"R7": {
"serializedValue": "0e20aedb01e6a2594d7dacf6f63b2f3247e3b1ecf01409960758934d2fb4c3004f07",
"sigmaType": "Coll[SByte]",
"renderedValue": "aedb01e6a2594d7dacf6f63b2f3247e3b1ecf01409960758934d2fb4c3004f07"
}
}
},
{
"boxId": "90fad5c46bb0595e434cea5f5b537243660e8ee746ba9eb078d3745609dbf311",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "96d5526448515ff90f1489b55b36278578d9b5dcb49cdf5b5a82dc0c551f4b7a",
"outputTransactionId": "3d54ec27b22a5b41af35366c1561a5c7fcb819e1c6a6c901770bef32aac1ee7b",
"outputIndex": 1,
"outputGlobalIndex": 32575930,
"outputCreatedAt": 1089884,
"outputSettledAt": 1089886,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(66,11,46,-97,-78,-68,-35,-19,-1,101,11,-26,59,26,-53,-62,107,-64,-67,-35,37,91,0,50,80,-121,-86,85,-107,-88,-102,58)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 3\n12: 2\n13: 1\n14: 1\n15: 100\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\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 coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val coll12 = INPUTS.filter({(box12: Box) => SELF.propositionBytes == box12.propositionBytes })\n val i13 = coll12.size\n val l14 = i13.toLong\n val box15 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12)) + coll16(placeholder[Int](13)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](14) / placeholder[\n Long\n ](15)\n val tuple19 = SELF.tokens(placeholder[Int](16))\n val l20 = coll16(placeholder[Int](17))\n val tuple21 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box10.value >= coll12.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](19), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll12.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](20), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i13, blake2b256(coll9.append(coll4(placeholder[Int](21)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](blake2b256(coll7(placeholder[Int](22)))), l14 > if (l17 < l18) { l17 } else {\n l18\n }, tuple19._2 == l20, tuple21._2 == l20 * l14, tuple21._1 == tuple19._1\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](23))\n val tuple13 = SELF.tokens(placeholder[Int](24))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "3825b2b4acaaaba626440113153246c65ddb2e9df406c4a56418b5842c9f839a",
"index": 0,
"amount": 10000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e61a83c5bca59e98c21d925faff5dfc079aa438f21df08702e4c4bf2bada02dc",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e61a83c5bca59e98c21d925faff5dfc079aa438f21df08702e4c4bf2bada02dc]"
},
"R5": {
"serializedValue": "1a012037c40c61715cde3ea41441d0c342bcf53c8977616a431b7ab9672190808c709d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[37c40c61715cde3ea41441d0c342bcf53c8977616a431b7ab9672190808c709d]"
},
"R6": {
"serializedValue": "0e20decfb3f5c1134cc5d4c2f085ab6cf2543758c6645cb1ff3c3279126562549bc4",
"sigmaType": "Coll[SByte]",
"renderedValue": "decfb3f5c1134cc5d4c2f085ab6cf2543758c6645cb1ff3c3279126562549bc4"
},
"R7": {
"serializedValue": "0e20aedb01e6a2594d7dacf6f63b2f3247e3b1ecf01409960758934d2fb4c3004f07",
"sigmaType": "Coll[SByte]",
"renderedValue": "aedb01e6a2594d7dacf6f63b2f3247e3b1ecf01409960758934d2fb4c3004f07"
}
}
},
{
"boxId": "2427b1ec1f3fda899484e589a3dc93fdc519d882eeae6e4329bb57732f1b855d",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "96d5526448515ff90f1489b55b36278578d9b5dcb49cdf5b5a82dc0c551f4b7a",
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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 coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val coll12 = INPUTS.filter({(box12: Box) => SELF.propositionBytes == box12.propositionBytes })\n val i13 = coll12.size\n val l14 = i13.toLong\n val box15 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12)) + coll16(placeholder[Int](13)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](14) / placeholder[\n Long\n ](15)\n val tuple19 = SELF.tokens(placeholder[Int](16))\n val l20 = coll16(placeholder[Int](17))\n val tuple21 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box10.value >= coll12.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](19), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll12.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](20), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i13, blake2b256(coll9.append(coll4(placeholder[Int](21)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](blake2b256(coll7(placeholder[Int](22)))), l14 > if (l17 < l18) { l17 } else {\n l18\n }, tuple19._2 == l20, tuple21._2 == l20 * l14, tuple21._1 == tuple19._1\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](23))\n val tuple13 = SELF.tokens(placeholder[Int](24))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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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 coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val coll12 = INPUTS.filter({(box12: Box) => SELF.propositionBytes == box12.propositionBytes })\n val i13 = coll12.size\n val l14 = i13.toLong\n val box15 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12)) + coll16(placeholder[Int](13)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](14) / placeholder[\n Long\n ](15)\n val tuple19 = SELF.tokens(placeholder[Int](16))\n val l20 = coll16(placeholder[Int](17))\n val tuple21 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box10.value >= coll12.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](19), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll12.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](20), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i13, blake2b256(coll9.append(coll4(placeholder[Int](21)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](blake2b256(coll7(placeholder[Int](22)))), l14 > if (l17 < l18) { l17 } else {\n l18\n }, tuple19._2 == l20, tuple21._2 == l20 * l14, tuple21._1 == tuple19._1\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](23))\n val tuple13 = SELF.tokens(placeholder[Int](24))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "e95d2f7eab31c379345a5325949509789f690f90bac6f7c56c6e3c2a958869a2",
"value": 1100000,
"index": 0,
"outputBlockId": "69521f157cd78e9962e7aa077cf973c2ce33dd534bec84ce35c7e6f092763519",
"outputTransactionId": "c85647df07f4ea14bf4635b1650c6c313366b6ca22a28212a30f82ed658d067c",
"outputIndex": 1,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0b046572676f20e61a83c5bca59e98c21d925faff5dfc079aa438f21df08702e4c4bf2bada02dc20d050d5e741b9e18bedb81be435f893c8c6ae32ecbbf88554480df8cb9cc0d58920995ca29a94c2290c7648b56e4a84dafda75765c6e793c5cdcd4fba55ff261e9f2090829fb915dba5c834d14b0e1e1387f6c2e4760965b8cd338892e4ad13baab3d20fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01208abd3c4a0e14dd3632919a758ccfee875cfcf8ea7e0ec85844d4188834fd602d203d36709eb83dc46cc60298ab183a1e4ab1d85363337b951b9494dc1ab1418eb1205589db926e6760d840c919948169a559abcab58ef0d2100126e48f9d2ef1232020aba9cf9df2a03cc07c1adc7515d4d70346c93bd7a250525536a90008f73d289d202228e54299db6c13479c6ced3705df36f2ed0e4e815ed7536ba99be14a13179d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6572676f,e61a83c5bca59e98c21d925faff5dfc079aa438f21df08702e4c4bf2bada02dc,d050d5e741b9e18bedb81be435f893c8c6ae32ecbbf88554480df8cb9cc0d589,995ca29a94c2290c7648b56e4a84dafda75765c6e793c5cdcd4fba55ff261e9f,90829fb915dba5c834d14b0e1e1387f6c2e4760965b8cd338892e4ad13baab3d,fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01,8abd3c4a0e14dd3632919a758ccfee875cfcf8ea7e0ec85844d4188834fd602d,3d36709eb83dc46cc60298ab183a1e4ab1d85363337b951b9494dc1ab1418eb1,5589db926e6760d840c919948169a559abcab58ef0d2100126e48f9d2ef12320,aba9cf9df2a03cc07c1adc7515d4d70346c93bd7a250525536a90008f73d289d,2228e54299db6c13479c6ced3705df36f2ed0e4e815ed7536ba99be14a13179d]"
},
"R5": {
"serializedValue": "110b0080dac40980dac40980dac40980dac40980dac40980dac40980dac40980dac40980dac40980dac409",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,10000000,10000000,10000000,10000000,10000000,10000000,10000000,10000000,10000000,10000000]"
},
"R6": {
"serializedValue": "1106a09c018c01020a80a8d6b90700",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,70,1,5,1000000000,0]"
}
}
}
],
"outputs": [
{
"boxId": "b975f3d6949f7ffe72d56d76b731e32fe5c3194ceb00ac09d2121b634a0aa90c",
"transactionId": "cb21f87c15fb0a756665e4728911e654af028f17f1f9f3b2e594ea357e49f202",
"blockId": "0b304a042b2de701050a329cbaa43b2b44f9cffb353d39c524bd1c693a23683c",
"value": 6600000,
"index": 0,
"globalIndex": 32576819,
"creationHeight": 1089915,
"settlementHeight": 1089917,
"ergoTree": "100c0400040004000400040004000e208e1ed246600d2c8b905f38f660d948006ccba5d5162dc0259eadfb784445fdc9040204000e20e4dca5c7b35ead14e65699505bdd65af5c00b2249327e0ed9ba0e2b509101a8204c0700e204624461fc2894036e9bc5067bff1e467942ad2ef2af5218ea4536cb517c00e2bd805d601e4c6a7041ad602b17201d603b4a573007202d604c2b2a5730100d605cb7204d196830301937202b17203afdc0c1d7201017203d901063c0e63d801d6088c720602ededed9383010e8c720601e4c67208041a93c272087204938cb2db63087208730200018cb2db6308a773030001938cb2db63087208730400029d8cb2db6308a7730500027e72020595937205730696830201938cb2db6308b2a47307007308000173099299a3730a8cc7a70196830201aea4d901066393cbc27206730b937205e4c6a7060e",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(-114,30,-46,70,96,13,44,-117,-112,95,56,-10,96,-39,72,0,108,-53,-91,-43,22,45,-64,37,-98,-83,-5,120,68,69,-3,-55)\n7: 1\n8: 0\n9: Coll(-28,-36,-91,-57,-77,94,-83,20,-26,86,-103,80,91,-35,101,-81,92,0,-78,36,-109,39,-32,-19,-101,-96,-30,-75,9,16,26,-126)\n10: 7200\n11: Coll(70,36,70,31,-62,-119,64,54,-23,-68,80,103,-65,-15,-28,103,-108,42,-46,-17,42,-11,33,-114,-92,83,108,-75,23,-64,14,43)",
"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)) && (box8.tokens(placeholder[Int](2))._1 == SELF.tokens(placeholder[Int](3))._1)) && (box8.tokens(placeholder[Int](4))._2 == SELF.tokens(placeholder[Int](5))._2 / i2.toLong)\n }), if (coll5 == placeholder[Coll[Byte]](6)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9), HEIGHT - placeholder[Int](10) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](11) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "BRNzuPCshtnBeoxCJ8iQiVbfd6yZNTf3KfxSfpsfDeC18pKRVoNNgDUo91X8TQRdLcnRwFHCU7doEUu4vciu5sfQbKyyd5FQD2x4X24eJFyR52vTtE4sVP46utpskdbwB9C3By3ueXBuDF6gmT6o83tN5b9wPjXtdpJowqgu2ZLDruYsqEdrPgGLsE1rfvBJM2NCYH9Gcp2UvJSGMiCu1p4XiLg1HpFhvcUz4wFwYFPBdUwoZVjERf6VVHv2hWzybdfxLBSEBPGys9xLPX4ck8Ms2LgBdX9GsAiXDnmrJ4A1NHqbJUZzUBfHEBUUUR94nJCoGfyAaFvDBafbouRuxe1MkArntvv6j6CQYe436e4hfZmrnC8aHGUaMvXQjtCwp4sF3yXe6c7Gf8GKw9LT1Tsk6AbMy4nP1X8jmaztJJhc8f7yopXSPEGM7JyNBNHyvp",
"assets": [
{
"tokenId": "3825b2b4acaaaba626440113153246c65ddb2e9df406c4a56418b5842c9f839a",
"index": 0,
"amount": 60000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a06208abd3c4a0e14dd3632919a758ccfee875cfcf8ea7e0ec85844d4188834fd602d20e61a83c5bca59e98c21d925faff5dfc079aa438f21df08702e4c4bf2bada02dc203d36709eb83dc46cc60298ab183a1e4ab1d85363337b951b9494dc1ab1418eb1205589db926e6760d840c919948169a559abcab58ef0d2100126e48f9d2ef1232020d050d5e741b9e18bedb81be435f893c8c6ae32ecbbf88554480df8cb9cc0d58920fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8abd3c4a0e14dd3632919a758ccfee875cfcf8ea7e0ec85844d4188834fd602d,e61a83c5bca59e98c21d925faff5dfc079aa438f21df08702e4c4bf2bada02dc,3d36709eb83dc46cc60298ab183a1e4ab1d85363337b951b9494dc1ab1418eb1,5589db926e6760d840c919948169a559abcab58ef0d2100126e48f9d2ef12320,d050d5e741b9e18bedb81be435f893c8c6ae32ecbbf88554480df8cb9cc0d589,fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01]"
},
"R5": {
"serializedValue": "1a0c4036383663336132383739613430316635316666373434623238393035353334366466343866346430303433353634643034386332633232306332653731333961046572676f0763617264616e6f33396763724b6e374c354c6e337252736a466f53456b45736f76556462354a523564366f327648515635464358584e6b6b45414467616464723171396e77676c6c6c74376a3030796634307776656163327467746d787879377930366e74757273366c3833776e39673337646a6c6e7a35686d6d6d6b78656e786c386d77716c366839366775377a74706867786a66306e67776866717761646d3764080000000000cc876008000000000081b32008000000000033e1404036636265656330346166366135303437643838313865616332616336653262323865316537346130643333396366663936663736343161316130633363613962086c6f76656c616365406539646130376566356138613661396335613232663766346538613330333761313764366264656565306666333566313166316633383761313538383965363508000000000010a158",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[36383663336132383739613430316635316666373434623238393035353334366466343866346430303433353634643034386332633232306332653731333961,6572676f,63617264616e6f,396763724b6e374c354c6e337252736a466f53456b45736f76556462354a523564366f327648515635464358584e6b6b454144,616464723171396e77676c6c6c74376a3030796634307776656163327467746d787879377930366e74757273366c3833776e39673337646a6c6e7a35686d6d6d6b78656e786c386d77716c366839366775377a74706867786a66306e67776866717761646d3764,0000000000cc8760,000000000081b320,000000000033e140,36636265656330346166366135303437643838313865616332616336653262323865316537346130643333396366663936663736343161316130633363613962,6c6f76656c616365,65396461303765663561386136613963356132326637663465386133303337613137643662646565653066663335663131663166333837613135383839653635,000000000010a158]"
},
"R6": {
"serializedValue": "0e20aedb01e6a2594d7dacf6f63b2f3247e3b1ecf01409960758934d2fb4c3004f07",
"sigmaType": "Coll[SByte]",
"renderedValue": "aedb01e6a2594d7dacf6f63b2f3247e3b1ecf01409960758934d2fb4c3004f07"
}
},
"spentTransactionId": "b9689948e1bb7ecc2a1a3dbf939045344166cf2083406b9e9c0ab1767b42328f",
"mainChain": true
},
{
"boxId": "36d730c47a71ea7afbdb30e23ecf1dc7939a069e006cf83052f56bd0ea785336",
"transactionId": "cb21f87c15fb0a756665e4728911e654af028f17f1f9f3b2e594ea357e49f202",
"blockId": "0b304a042b2de701050a329cbaa43b2b44f9cffb353d39c524bd1c693a23683c",
"value": 1735800000,
"index": 1,
"globalIndex": 32576820,
"creationHeight": 1089915,
"settlementHeight": 1089917,
"ergoTree": "0008cd0376075f6a0b0f882d99bbac68dc948c3af9255d23d72f019ba435edc1be970e30",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(76075f,44c359,...)))}",
"address": "9hMnaX3RkNLyeEhGn6G3kQThQkveHfAk5WmATkVxbdDprY8eMkY",
"assets": [
{
"tokenId": "5589db926e6760d840c919948169a559abcab58ef0d2100126e48f9d2ef12320",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 1,
"amount": 1788,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "600d2555f2ff39e6ecfc72d85466d5c0119c2a9539e77ce7c520950e83d6c33e",
"mainChain": true
},
{
"boxId": "56d72232a82a7199563e23f30739dc5e2aee700632619cf1857346eb21791266",
"transactionId": "cb21f87c15fb0a756665e4728911e654af028f17f1f9f3b2e594ea357e49f202",
"blockId": "0b304a042b2de701050a329cbaa43b2b44f9cffb353d39c524bd1c693a23683c",
"value": 1100000,
"index": 2,
"globalIndex": 32576821,
"creationHeight": 1089915,
"settlementHeight": 1089917,
"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": "079fc2fe06525402f13fc6b55ed2becb46cdd24bd17bcb8911a41b5db20b23e8",
"mainChain": true
}
],
"size": 1663,
"isUnconfirmed": false
}