Transaction
ID: 59ebb684fc...8e10
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.03331596 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.03221596 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 102,014
Total coins transferred: 0.03531596 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000334 ERG
Raw Transaction Data
{
"id": "59ebb684fccebf06273e704e1835ce3e2e22877911cccbad43a0590fd7238e10",
"blockId": "485126b0284aba64f1656d2c49f93aaca3c41d53f6ca374dd654222591edebcd",
"inclusionHeight": 1661165,
"timestamp": 1763752834014,
"index": 8,
"globalIndex": 9837220,
"numConfirmations": 102014,
"inputs": [
{
"boxId": "3602b1b7121a893c56feb3529625a6a6445d3fe618cecbbccd06cc98e4fad63a",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "15738823606be7cf9980b25bdd23d0ede314f08cd007856c787f5010c5c37102",
"outputTransactionId": "dbc7430ea6ae6e29883d6ebc7e9094f4389777b0dfc1e0db35237501656dbcd5",
"outputIndex": 0,
"outputGlobalIndex": 51679860,
"outputCreatedAt": 1659753,
"outputSettledAt": 1659754,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 1\n10: 0\n11: 0\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 0\n18: 0\n19: 0\n20: Coll(-50,-22,82,101,27,107,32,99,-127,-22,40,-94,-27,-97,119,83,103,-50,-11,103,-64,-62,-16,-119,-36,126,9,53,107,100,-17,97)\n21: 0\n22: 0\n23: true\n24: false\n25: 1\n26: 0\n27: false",
"ergoTreeScript": "{\n val opt1 = SELF.R7[Coll[Byte]]\n val coll2 = opt1.get\n val coll3 = OUTPUTS.filter(\n {(box3: Box) =>\n ((box3.propositionBytes == SELF.propositionBytes) && (box3.tokens.size > placeholder[Int](0))) && (\n box3.tokens(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1\n )\n }\n )\n sigmaProp(if (INPUTS.exists({(box4: Box) => box4.propositionBytes == coll2 })) {(\n val coll4 = blake2b256(SELF.propositionBytes)\n val tuple5 = SELF.tokens(placeholder[Int](3))\n val coll6 = tuple5._1\n val coll7 = INPUTS.filter({(box7: Box) => ((((((blake2b256(box7.propositionBytes) == coll4) && (box7.tokens.size > placeholder[Int](4))) && (box7.tokens(placeholder[Int](5))._1 == coll6)) && (box7.R7[Coll[Byte]].get == coll2)) && box7.R4[Coll[Byte]].isDefined) && box7.R5[Coll[Byte]].isDefined) && box7.R8[Boolean].isDefined })\n val coll8 = OUTPUTS.filter({(box8: Box) => ((((((blake2b256(box8.propositionBytes) == coll4) && (box8.tokens.size > placeholder[Int](6))) && (box8.tokens(placeholder[Int](7))._1 == coll6)) && (box8.R7[Coll[Byte]].get == coll2)) && box8.R4[Coll[Byte]].isDefined) && box8.R5[Coll[Byte]].isDefined) && box8.R8[Boolean].isDefined })\n val coll9 = coll7.flatMap({(box9: Box) =>\n val coll11 = box9.tokens\n val i12 = coll11.size\n if (i12 > placeholder[Int](8)) { coll11.slice(placeholder[Int](9), i12) } else { Coll[(Coll[Byte], Long)]() }\n })\n val coll10 = SELF.R4[Coll[Byte]].get\n (((coll7.fold(placeholder[Long](10), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](11))._2 }) == coll8.fold(placeholder[Long](12), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](13))._2 })) && (coll9.fold(Coll[Coll[Byte]](), {(tuple11: (Coll[Coll[Byte]], (Coll[Byte], Long))) =>\n val coll13 = tuple11._1\n val coll14 = tuple11._2._1\n if (coll13.exists({(coll15: Coll[Byte]) => coll15 == coll14 })) { coll13 } else { coll13.append(Coll[Coll[Byte]](coll14)) }\n }).forall({(coll11: Coll[Byte]) => coll8.flatMap({(box13: Box) =>\n val coll15 = box13.tokens\n val i16 = coll15.size\n if (i16 > placeholder[Int](14)) { coll15.slice(placeholder[Int](15), i16) } else { Coll[(Coll[Byte], Long)]() }\n }).filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](16), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) >= coll9.filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](17), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) }) && (coll8.fold(placeholder[Long](18), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }) >= coll7.fold(placeholder[Long](19), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value })))) && CONTEXT.dataInputs.filter({(box11: Box) => (blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](20)) && (box11.creationInfo._1 < HEIGHT) }).map({(box11: Box) => box11.tokens(placeholder[Int](21))._1 }).exists({(coll11: Coll[Byte]) => coll11 == coll10 })) && if (SELF.R6[Boolean].get) { coll8.exists({(box11: Box) => ((((box11.tokens(placeholder[Int](22))._2 >= tuple5._2) && (box11.R4[Coll[Byte]].get == coll10)) && (box11.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && box11.R6[Boolean].get) && (box11.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get) }) } else { placeholder[Boolean](23) }\n )} else { placeholder[Boolean](24) } || if (coll3.size == placeholder[Int](25)) {(\n val box4 = coll3(placeholder[Int](26))\n (((((((box4.R4[Coll[Byte]] == SELF.R4[Coll[Byte]]) && (box4.R5[Coll[Byte]] == SELF.R5[Coll[Byte]])) && (box4.R6[Boolean] == SELF.R6[Boolean])) && (box4.R7[Coll[Byte]] == opt1)) && (box4.R8[Boolean] == SELF.R8[Boolean])) && (box4.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])) && (box4.tokens == SELF.tokens)) && (box4.value >= SELF.value)\n )} else { placeholder[Boolean](27) })\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 99999986,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20cd37aa0fa3d9e2b7af812b921fdb5e2b04e351afcd74aa71f0d80d2bf91f8e58",
"sigmaType": "Coll[SByte]",
"renderedValue": "cd37aa0fa3d9e2b7af812b921fdb5e2b04e351afcd74aa71f0d80d2bf91f8e58"
},
"R6": {
"serializedValue": "0100",
"sigmaType": "SBoolean",
"renderedValue": "false"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7"
},
"R9": {
"serializedValue": "0e0f7b226e616d65223a22416e6f6e227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b226e616d65223a22416e6f6e227d"
},
"R4": {
"serializedValue": "0e201820fd428a0b92d61ce3f86cd98240fdeeee8a392900f0b19a2e017d66f79926",
"sigmaType": "Coll[SByte]",
"renderedValue": "1820fd428a0b92d61ce3f86cd98240fdeeee8a392900f0b19a2e017d66f79926"
}
}
},
{
"boxId": "cf004aa116e079d9c33710e4424a198d2e5b0ac9cdb68dc864e067733f0b43f5",
"value": 1000000,
"index": 1,
"spendingProof": "3a69320ae342b62267c33ab8967e4afac892a267618c0b741950d51a482654869b11685584d015286f02811aae3bf8ea431618a24fd6f993",
"outputBlockId": "21d2b272c56ea84f0901ef9f892dfb47aee2fb2c90c21964942640a8bd02a85f",
"outputTransactionId": "34240eaeaa0b93633bc8f1766d364eea62f6af221731d166e905ae368851f6f8",
"outputIndex": 1,
"outputGlobalIndex": 51728774,
"outputCreatedAt": 1661155,
"outputSettledAt": 1661157,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 0,
"amount": 2,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "db69ad56d33ae3ac92244bc8aef89e05155c8b6950e8069026afa29a90ffa609",
"value": 33315960,
"index": 2,
"spendingProof": "150a86d1ae434955aae168e434ba9b3326939f324fdd3a73547a6a4dec77e201982fcfe59b562af3d7a239b747d04d7780efeba282856de5",
"outputBlockId": "21d2b272c56ea84f0901ef9f892dfb47aee2fb2c90c21964942640a8bd02a85f",
"outputTransactionId": "34240eaeaa0b93633bc8f1766d364eea62f6af221731d166e905ae368851f6f8",
"outputIndex": 3,
"outputGlobalIndex": 51728776,
"outputCreatedAt": 1661155,
"outputSettledAt": 1661157,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 0,
"amount": 95850098,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 999899774500,
"name": "GOLD",
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"type": "EIP-004"
},
{
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"index": 2,
"amount": 98829100,
"name": "TGD",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 1,
"name": "Project 10-nov-1229 APT",
"decimals": 2,
"type": "EIP-004"
},
{
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},
{
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},
{
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},
{
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},
{
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{
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{
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{
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},
{
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{
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{
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},
{
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},
{
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},
{
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"name": "🚬",
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},
{
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{
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}
],
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}
],
"dataInputs": [
{
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"outputTransactionId": "3159d801f9360508f63249a3afefd0d95e31c160e06a524eea3cd30a20ad2fac",
"outputIndex": 0,
"ergoTree": "19b5010804000400040004020400040004000100d801d601b5a5d9010163d801d603db63087201ed91b172037300938cb27203730100018cb2db6308a7730200019593b172017303d801d602b27201730400d1ededed93c27202c2a793b2db63087202730500b2db6308a7730600ededededed93c67202040ec6a7040e93c67202050ec6a7050e93c67202060ec6a7060e93c672020701c6a7070193c67202080ec6a7080e93c67202090ec6a7090e92c17202c1a7d17307",
"address": "26XeHLaYXWtuLAj1CbBgvmxYpkmcGy8Gvkdpse7GBGDznxcagzaxmoM5HWCpRBEFWJfKRvp2KbJTRCbJ8MENFVvi9RRCjdw85ssabHGRgYTdizGnTrQnXD29HGfYyui2bQKcA1gm2N63LdCpahdALzm5SaDbWJB5bzku8cEsQFWdUwe5z8HiFJvTTUnii68Fs99nziVSFxCaBw3GBSMB4p3B5VoQcMzYDHsNhuR9G9873VfitRwhXaG1SEPQnenGmR",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e1144697363757373696f6e20546872656164",
"sigmaType": "Coll[SByte]",
"renderedValue": "44697363757373696f6e20546872656164"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R6": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R7": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "ab6a15e0780a33c6df933a7b30abdd4fb522fb3e36934055cab3ea4ed8b7aa8e",
"value": 1000000,
"index": 1,
"outputBlockId": "8c3c315f50a07390867edc2b13ac197a4fbba3e61ba2b161aaf4ae10d07ebb29",
"outputTransactionId": "37936f7c5688f79a41b23562c6689011a8a3f7a7bea32861db54367ce363be3b",
"outputIndex": 0,
"ergoTree": "19b5010804000400040004020400040004000100d801d601b5a5d9010163d801d603db63087201ed91b172037300938cb27203730100018cb2db6308a7730200019593b172017303d801d602b27201730400d1ededed93c27202c2a793b2db63087202730500b2db6308a7730600ededededed93c67202040ec6a7040e93c67202050ec6a7050e93c67202060ec6a7060e93c672020701c6a7070193c67202080ec6a7080e93c67202090ec6a7090e92c17202c1a7d17307",
"address": "26XeHLaYXWtuLAj1CbBgvmxYpkmcGy8Gvkdpse7GBGDznxcagzaxmoM5HWCpRBEFWJfKRvp2KbJTRCbJ8MENFVvi9RRCjdw85ssabHGRgYTdizGnTrQnXD29HGfYyui2bQKcA1gm2N63LdCpahdALzm5SaDbWJB5bzku8cEsQFWdUwe5z8HiFJvTTUnii68Fs99nziVSFxCaBw3GBSMB4p3B5VoQcMzYDHsNhuR9G9873VfitRwhXaG1SEPQnenGmR",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0d466f72756d2050726f66696c65",
"sigmaType": "Coll[SByte]",
"renderedValue": "466f72756d2050726f66696c65"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R6": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R7": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
}
],
"outputs": [
{
"boxId": "e086fac15cf96bf34053e5a70ecddc18fbaaa2f3d1d6826f0232dfba8abb25ef",
"transactionId": "59ebb684fccebf06273e704e1835ce3e2e22877911cccbad43a0590fd7238e10",
"blockId": "485126b0284aba64f1656d2c49f93aaca3c41d53f6ca374dd654222591edebcd",
"value": 1000000,
"index": 0,
"globalIndex": 51729043,
"creationHeight": 1661163,
"settlementHeight": 1661165,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 1\n10: 0\n11: 0\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 0\n18: 0\n19: 0\n20: Coll(-50,-22,82,101,27,107,32,99,-127,-22,40,-94,-27,-97,119,83,103,-50,-11,103,-64,-62,-16,-119,-36,126,9,53,107,100,-17,97)\n21: 0\n22: 0\n23: true\n24: false\n25: 1\n26: 0\n27: false",
"ergoTreeScript": "{\n val opt1 = SELF.R7[Coll[Byte]]\n val coll2 = opt1.get\n val coll3 = OUTPUTS.filter(\n {(box3: Box) =>\n ((box3.propositionBytes == SELF.propositionBytes) && (box3.tokens.size > placeholder[Int](0))) && (\n box3.tokens(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1\n )\n }\n )\n sigmaProp(if (INPUTS.exists({(box4: Box) => box4.propositionBytes == coll2 })) {(\n val coll4 = blake2b256(SELF.propositionBytes)\n val tuple5 = SELF.tokens(placeholder[Int](3))\n val coll6 = tuple5._1\n val coll7 = INPUTS.filter({(box7: Box) => ((((((blake2b256(box7.propositionBytes) == coll4) && (box7.tokens.size > placeholder[Int](4))) && (box7.tokens(placeholder[Int](5))._1 == coll6)) && (box7.R7[Coll[Byte]].get == coll2)) && box7.R4[Coll[Byte]].isDefined) && box7.R5[Coll[Byte]].isDefined) && box7.R8[Boolean].isDefined })\n val coll8 = OUTPUTS.filter({(box8: Box) => ((((((blake2b256(box8.propositionBytes) == coll4) && (box8.tokens.size > placeholder[Int](6))) && (box8.tokens(placeholder[Int](7))._1 == coll6)) && (box8.R7[Coll[Byte]].get == coll2)) && box8.R4[Coll[Byte]].isDefined) && box8.R5[Coll[Byte]].isDefined) && box8.R8[Boolean].isDefined })\n val coll9 = coll7.flatMap({(box9: Box) =>\n val coll11 = box9.tokens\n val i12 = coll11.size\n if (i12 > placeholder[Int](8)) { coll11.slice(placeholder[Int](9), i12) } else { Coll[(Coll[Byte], Long)]() }\n })\n val coll10 = SELF.R4[Coll[Byte]].get\n (((coll7.fold(placeholder[Long](10), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](11))._2 }) == coll8.fold(placeholder[Long](12), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](13))._2 })) && (coll9.fold(Coll[Coll[Byte]](), {(tuple11: (Coll[Coll[Byte]], (Coll[Byte], Long))) =>\n val coll13 = tuple11._1\n val coll14 = tuple11._2._1\n if (coll13.exists({(coll15: Coll[Byte]) => coll15 == coll14 })) { coll13 } else { coll13.append(Coll[Coll[Byte]](coll14)) }\n }).forall({(coll11: Coll[Byte]) => coll8.flatMap({(box13: Box) =>\n val coll15 = box13.tokens\n val i16 = coll15.size\n if (i16 > placeholder[Int](14)) { coll15.slice(placeholder[Int](15), i16) } else { Coll[(Coll[Byte], Long)]() }\n }).filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](16), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) >= coll9.filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](17), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) }) && (coll8.fold(placeholder[Long](18), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }) >= coll7.fold(placeholder[Long](19), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value })))) && CONTEXT.dataInputs.filter({(box11: Box) => (blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](20)) && (box11.creationInfo._1 < HEIGHT) }).map({(box11: Box) => box11.tokens(placeholder[Int](21))._1 }).exists({(coll11: Coll[Byte]) => coll11 == coll10 })) && if (SELF.R6[Boolean].get) { coll8.exists({(box11: Box) => ((((box11.tokens(placeholder[Int](22))._2 >= tuple5._2) && (box11.R4[Coll[Byte]].get == coll10)) && (box11.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && box11.R6[Boolean].get) && (box11.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get) }) } else { placeholder[Boolean](23) }\n )} else { placeholder[Boolean](24) } || if (coll3.size == placeholder[Int](25)) {(\n val box4 = coll3(placeholder[Int](26))\n (((((((box4.R4[Coll[Byte]] == SELF.R4[Coll[Byte]]) && (box4.R5[Coll[Byte]] == SELF.R5[Coll[Byte]])) && (box4.R6[Boolean] == SELF.R6[Boolean])) && (box4.R7[Coll[Byte]] == opt1)) && (box4.R8[Boolean] == SELF.R8[Boolean])) && (box4.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])) && (box4.tokens == SELF.tokens)) && (box4.value >= SELF.value)\n )} else { placeholder[Boolean](27) })\n}",
"address": "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",
"assets": [
{
"tokenId": "cd37aa0fa3d9e2b7af812b921fdb5e2b04e351afcd74aa71f0d80d2bf91f8e58",
"index": 0,
"amount": 99999985,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20cd37aa0fa3d9e2b7af812b921fdb5e2b04e351afcd74aa71f0d80d2bf91f8e58",
"sigmaType": "Coll[SByte]",
"renderedValue": "cd37aa0fa3d9e2b7af812b921fdb5e2b04e351afcd74aa71f0d80d2bf91f8e58"
},
"R6": {
"serializedValue": "0100",
"sigmaType": "SBoolean",
"renderedValue": "false"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7"
},
"R9": {
"serializedValue": "0e0f7b226e616d65223a22416e6f6e227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b226e616d65223a22416e6f6e227d"
},
"R4": {
"serializedValue": "0e201820fd428a0b92d61ce3f86cd98240fdeeee8a392900f0b19a2e017d66f79926",
"sigmaType": "Coll[SByte]",
"renderedValue": "1820fd428a0b92d61ce3f86cd98240fdeeee8a392900f0b19a2e017d66f79926"
}
},
"spentTransactionId": "d3752f2120dc702bdfa7023a089752735f2e3960d403962ceb2dffbe8be5e8c9",
"mainChain": true
},
{
"boxId": "4dae31787b041caa3ae5e1e875a5c3ac5f85a21a8749c3ee4e0f64458ab8f037",
"transactionId": "59ebb684fccebf06273e704e1835ce3e2e22877911cccbad43a0590fd7238e10",
"blockId": "485126b0284aba64f1656d2c49f93aaca3c41d53f6ca374dd654222591edebcd",
"value": 1000000,
"index": 1,
"globalIndex": 51729044,
"creationHeight": 1661163,
"settlementHeight": 1661165,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 1\n10: 0\n11: 0\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 0\n18: 0\n19: 0\n20: Coll(-50,-22,82,101,27,107,32,99,-127,-22,40,-94,-27,-97,119,83,103,-50,-11,103,-64,-62,-16,-119,-36,126,9,53,107,100,-17,97)\n21: 0\n22: 0\n23: true\n24: false\n25: 1\n26: 0\n27: false",
"ergoTreeScript": "{\n val opt1 = SELF.R7[Coll[Byte]]\n val coll2 = opt1.get\n val coll3 = OUTPUTS.filter(\n {(box3: Box) =>\n ((box3.propositionBytes == SELF.propositionBytes) && (box3.tokens.size > placeholder[Int](0))) && (\n box3.tokens(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1\n )\n }\n )\n sigmaProp(if (INPUTS.exists({(box4: Box) => box4.propositionBytes == coll2 })) {(\n val coll4 = blake2b256(SELF.propositionBytes)\n val tuple5 = SELF.tokens(placeholder[Int](3))\n val coll6 = tuple5._1\n val coll7 = INPUTS.filter({(box7: Box) => ((((((blake2b256(box7.propositionBytes) == coll4) && (box7.tokens.size > placeholder[Int](4))) && (box7.tokens(placeholder[Int](5))._1 == coll6)) && (box7.R7[Coll[Byte]].get == coll2)) && box7.R4[Coll[Byte]].isDefined) && box7.R5[Coll[Byte]].isDefined) && box7.R8[Boolean].isDefined })\n val coll8 = OUTPUTS.filter({(box8: Box) => ((((((blake2b256(box8.propositionBytes) == coll4) && (box8.tokens.size > placeholder[Int](6))) && (box8.tokens(placeholder[Int](7))._1 == coll6)) && (box8.R7[Coll[Byte]].get == coll2)) && box8.R4[Coll[Byte]].isDefined) && box8.R5[Coll[Byte]].isDefined) && box8.R8[Boolean].isDefined })\n val coll9 = coll7.flatMap({(box9: Box) =>\n val coll11 = box9.tokens\n val i12 = coll11.size\n if (i12 > placeholder[Int](8)) { coll11.slice(placeholder[Int](9), i12) } else { Coll[(Coll[Byte], Long)]() }\n })\n val coll10 = SELF.R4[Coll[Byte]].get\n (((coll7.fold(placeholder[Long](10), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](11))._2 }) == coll8.fold(placeholder[Long](12), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](13))._2 })) && (coll9.fold(Coll[Coll[Byte]](), {(tuple11: (Coll[Coll[Byte]], (Coll[Byte], Long))) =>\n val coll13 = tuple11._1\n val coll14 = tuple11._2._1\n if (coll13.exists({(coll15: Coll[Byte]) => coll15 == coll14 })) { coll13 } else { coll13.append(Coll[Coll[Byte]](coll14)) }\n }).forall({(coll11: Coll[Byte]) => coll8.flatMap({(box13: Box) =>\n val coll15 = box13.tokens\n val i16 = coll15.size\n if (i16 > placeholder[Int](14)) { coll15.slice(placeholder[Int](15), i16) } else { Coll[(Coll[Byte], Long)]() }\n }).filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](16), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) >= coll9.filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](17), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) }) && (coll8.fold(placeholder[Long](18), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }) >= coll7.fold(placeholder[Long](19), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value })))) && CONTEXT.dataInputs.filter({(box11: Box) => (blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](20)) && (box11.creationInfo._1 < HEIGHT) }).map({(box11: Box) => box11.tokens(placeholder[Int](21))._1 }).exists({(coll11: Coll[Byte]) => coll11 == coll10 })) && if (SELF.R6[Boolean].get) { coll8.exists({(box11: Box) => ((((box11.tokens(placeholder[Int](22))._2 >= tuple5._2) && (box11.R4[Coll[Byte]].get == coll10)) && (box11.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && box11.R6[Boolean].get) && (box11.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get) }) } else { placeholder[Boolean](23) }\n )} else { placeholder[Boolean](24) } || if (coll3.size == placeholder[Int](25)) {(\n val box4 = coll3(placeholder[Int](26))\n (((((((box4.R4[Coll[Byte]] == SELF.R4[Coll[Byte]]) && (box4.R5[Coll[Byte]] == SELF.R5[Coll[Byte]])) && (box4.R6[Boolean] == SELF.R6[Boolean])) && (box4.R7[Coll[Byte]] == opt1)) && (box4.R8[Boolean] == SELF.R8[Boolean])) && (box4.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])) && (box4.tokens == SELF.tokens)) && (box4.value >= SELF.value)\n )} else { placeholder[Boolean](27) })\n}",
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"assets": [
{
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}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20765f13631eed763813ae2e1df593fe790889640ca05a9fa17eea951889c2a8b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "765f13631eed763813ae2e1df593fe790889640ca05a9fa17eea951889c2a8b4"
},
"R6": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7"
},
"R9": {
"serializedValue": "0e04486f6c61",
"sigmaType": "Coll[SByte]",
"renderedValue": "486f6c61"
},
"R4": {
"serializedValue": "0e20273f60541e8869216ee6aed5552e522d9bea29a69d88e567d089dc834da227cf",
"sigmaType": "Coll[SByte]",
"renderedValue": "273f60541e8869216ee6aed5552e522d9bea29a69d88e567d089dc834da227cf"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "d26e05e84b8f1f7401e9169832c8d29b307ddf5909129664bb6c929e9fbba24f",
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"index": 2,
"globalIndex": 51729045,
"creationHeight": 1661163,
"settlementHeight": 1661165,
"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)}",
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"additionalRegisters": {},
"spentTransactionId": "38c30298588bb4bd338a287c8f7069f63e65d342a524be957d421c2d25bd62fd",
"mainChain": true
},
{
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"index": 3,
"globalIndex": 51729046,
"creationHeight": 1661163,
"settlementHeight": 1661165,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
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}