Transaction
ID: 0a35db0bb8...1a7d
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
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1304978 ERG
Tokens:
Loading assets...
Outputs (4)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1293978 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 169,864
Total coins transferred: 0.1324978 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000357 ERG
Raw Transaction Data
{
"id": "0a35db0bb83c2924bee65110243ee58ac4eacbdea5328f67a2ac3d7a95271a7d",
"blockId": "e188ee7e65d8f22e9d86d7fa78acaa03592602fa6f147c1948ce04cc8357894a",
"inclusionHeight": 1591260,
"timestamp": 1755283721346,
"index": 57,
"globalIndex": 9356255,
"numConfirmations": 169864,
"inputs": [
{
"boxId": "199672d853ad484e8910560e0f1892003a9c730c394e559a0f98629e642d84e2",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "8d28e165887566a2ff46451058533c8402fc07cdd4951ca7df022bd22afd68f8",
"outputTransactionId": "72efed628b636aafa8429eb49e4b7505b66749b520f91c982f12c1cdba68bf32",
"outputIndex": 0,
"outputGlobalIndex": 49478072,
"outputCreatedAt": 1591254,
"outputSettledAt": 1591256,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(98,76,112,-19,36,-25,12,-43,36,-42,-20,25,70,43,3,-83,103,-56,91,-59,43,-84,68,19,-32,-104,100,-101,1,21,-85,-88)\n3: 1\n4: 0\n5: Coll(97,-88,7,-110,60,-73,68,81,58,32,41,-112,-37,-12,6,13,-63,-80,-118,-124,47,-123,-113,11,111,70,114,-85,124,41,99,-76)\n6: Coll(-3,40,-106,-102,-12,-30,91,120,52,-68,75,102,-104,114,55,-40,-79,50,-41,76,-37,85,91,87,10,64,-110,47,-56,-93,-77,79)\n7: -1\n8: 0\n9: -1\n10: false\n11: true\n12: 2\n13: 1\n14: 1\n15: -1\n16: 0\n17: 1\n18: 30\n19: false\n20: false\n21: false\n22: false\n23: 2\n24: 0\n25: 5\n26: Coll(-106,-15,115,75,96,-23,40,-39,-58,18,-77,-5,-128,-19,5,-10,27,-113,-97,109,-20,-72,12,-101,-85,19,8,-31,20,-36,125,111)\n27: 1\n28: 30\n29: 1\n30: false",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val coll2 = SELF.R7[Coll[Long]].get\n val l3 = coll2(placeholder[Int](0))\n val coll4 = SELF.R5[Coll[Byte]].get\n val coll5 = SELF.tokens(placeholder[Int](1))._1\n val coll6 = placeholder[Coll[Byte]](2)\n val l7 = coll2(placeholder[Int](3))\n val tuple8 = SELF.R4[(Coll[Byte], Long)].get\n sigmaProp(if (l1 >= l3) {(\n val box9 = OUTPUTS(placeholder[Int](4))\n val tuple10 = box9.R5[(Coll[Byte], Coll[Byte])].get\n val coll11 = tuple10._1\n val coll12 = INPUTS.filter({(box12: Box) => (blake2b256(box12.propositionBytes) == placeholder[Coll[Byte]](5)) && (box12.R6[Coll[Byte]].get == coll5) })\n if (((blake2b256(coll11) == coll4) && (blake2b256(box9.propositionBytes) == placeholder[Coll[Byte]](6))) && (coll12.size == OUTPUTS.filter({(box13: Box) => (blake2b256(box13.propositionBytes) == coll6) && (box13.R6[Coll[Byte]].get == coll5) }).size)) {(\n val tuple13 = coll12.fold((placeholder[Long](7), (Coll[Byte](), placeholder[Int](8))), {(tuple13: ((Long, (Coll[Byte], Int)), Box)) =>\n val box15 = tuple13._2\n val coll16 = box15.R5[Coll[Byte]].get\n val tuple17 = box15.R9[Coll[Long]].get.fold((placeholder[Long](9), placeholder[Boolean](10)), {(tuple17: ((Long, Boolean), Long)) =>\n val tuple19 = tuple17._1\n val l20 = tuple17._2\n if (tuple19._2) { tuple19 } else { if (blake2b256(box15.R7[Coll[Byte]].get.append(longToByteArray(l20)).append(box15.R8[Coll[Byte]].get).append(coll11)) == coll16) { (l20, placeholder[Boolean](11)) } else { tuple19 } }\n })\n val l18 = box15.value\n val bool19 = (tuple17._2 && (l18 >= coll2(placeholder[Int](12)))) && OUTPUTS.exists({(box19: Box) => (((blake2b256(box19.propositionBytes) == coll6) && (box19.value == l18)) && (box19.R4[Coll[Byte]].get == box15.R4[Coll[Byte]].get)) && (box19.R5[Coll[Byte]].get == coll16) })\n val tuple20 = tuple13._1\n val l21 = tuple17._1\n val tuple22 = tuple20._2\n val i23 = tuple22._2\n val l24 = tuple20._1\n if (bool19 && \n val l25 = l24\n l21 > l25\n ) {(\n val i25 = i23\n (l21, (coll16, i25 + placeholder[Int](13)))\n )} else { if (bool19) { (l24, (tuple22._1, i23 + placeholder[Int](14))) } else { tuple20 } }\n })\n val tuple14 = tuple13._2\n if (tuple13._1 > placeholder[Long](15)) {(\n val i15 = tuple14._2\n if (i15 == coll12.size) {(\n val coll16 = SELF.R6[Coll[Coll[Byte]]].get\n val coll17 = CONTEXT.dataInputs\n val coll18 = coll17.map({(box18: Box) => box18.tokens(placeholder[Int](16))._1 })\n ((coll16.size == coll17.size) && coll16.forall({(coll19: Coll[Byte]) => coll18.exists({(coll21: Coll[Byte]) => coll21 == coll19 }) })) && (((((((((tuple10._2 == tuple14._1) && (box9.value >= l7)) && (box9.tokens.filter({(tuple19: (Coll[Byte], Long)) => tuple19._1 == coll5 }).size == placeholder[Int](17))) && (box9.R4[(Long, Int)].get._1 >= l1 + placeholder[Long](18))) && (box9.R4[(Long, Int)].get._2 == i15)) && (box9.R6[Coll[Coll[Byte]]].get == coll18)) && (box9.R7[Coll[Long]].get == coll2)) && (box9.R8[(Coll[Byte], Long)].get._2 == tuple8._2)) && (box9.R9[(Coll[Byte], Coll[Byte])].get == (tuple8._1, SELF.R8[Coll[Byte]].get)))\n )} else { placeholder[Boolean](19) }\n )} else { placeholder[Boolean](20) }\n )} else { placeholder[Boolean](21) }\n )} else { placeholder[Boolean](22) } || if ((l1 < l3) && (OUTPUTS.size >= placeholder[Int](23))) {(\n val box9 = OUTPUTS(placeholder[Int](24))\n val l10 = l7 / placeholder[Long](25)\n val l11 = l7 - l10\n (((((((blake2b256(box9.propositionBytes) == placeholder[Coll[Byte]](26)) && (box9.value >= l11)) && (box9.tokens.filter({(tuple12: (Coll[Byte], Long)) => tuple12._1 == coll5 }).size == placeholder[Int](27))) && (box9.R4[Long].get >= l1 + placeholder[Long](28))) && (blake2b256(box9.R5[Coll[Byte]].get) == coll4)) && (box9.R6[Long].get == l11)) && box9.R7[Coll[Byte]].isDefined) && (OUTPUTS(placeholder[Int](29)).value >= l10)\n )} else { placeholder[Boolean](30) })\n}",
"address": "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",
"assets": [
{
"tokenId": "4f89392cd815213d7701804d3315e10b43a41b9b19b6e33e6b4756207dc51e93",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R6": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R8": {
"serializedValue": "0e9e017b227469746c65223a2254657374205631222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2232303830393935396333653661373466663565393835643536613536306262636564313335363564303135313334636665323738643234646338303337376266222c226d6972726f7255726c73223a5b5d7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2254657374205631222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2232303830393935396333653661373466663565393835643536613536306262636564313335363564303135313334636665323738643234646338303337376266222c226d6972726f7255726c73223a5b5d7d"
},
"R7": {
"serializedValue": "1103b69fc20180897a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1591259,1000000,1000000]"
},
"R4": {
"serializedValue": "4d0e21026f371ad9887acfd802fcdcda422e706fc2aa8b9a1ea943741e2bd7477031dec314",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[026f371ad9887acfd802fcdcda422e706fc2aa8b9a1ea943741e2bd7477031dec3,10]"
}
}
},
{
"boxId": "6fd7e9205d7f293ae34db8b8082dc8316f07e8fb97e58f0dbe1f58e022e694c3",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "b1d6e619576afc09b83cc523742085e8922e887142a67eb6050bffd6a4951d3c",
"outputTransactionId": "67463e69fb4206ff4599130bdb9475aafbc091e120b9e27d05f8ae0f8ae0df96",
"outputIndex": 0,
"outputGlobalIndex": 49478138,
"outputCreatedAt": 1591257,
"outputSettledAt": 1591259,
"ergoTree": "19df020e040004000400040604000e20624c70ed24e70cd524d6ec19462b03ad67c85bc52bac4413e098649b0115aba8010004000400040004000e030008cd01000100d805d601b2a4730000d602db63087201d603e4c6a7060ed604e4c6a7040ed605db6501fed1ecec95ededededed91b172027301938cb27202730200017203e6c67201044d0ee6c67201050ee6c67201071193b1e4c6720107117303ed927ea305b2e4c672010711730400aea5d9010663edededededededed93cbc27206730593c17206c1a793db63087206db6308a793e4c67206040e720493e4c67206050ee4c6a7050e93e4c67206060e720393e4c67206070ee4c6a7070e93e4c67206080ee4c6a7080e93e4c672060911e4c6a7091173069591b172057307d802d606b27205730800d607db63087206ededed91b172077309938cb27207730a00017203e6c67206050eaea5d9010863ed93c27208b3730b720492c17208c1a7730c730d",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 3\n4: 0\n5: Coll(98,76,112,-19,36,-25,12,-43,36,-42,-20,25,70,43,3,-83,103,-56,91,-59,43,-84,68,19,-32,-104,100,-101,1,21,-85,-88)\n6: false\n7: 0\n8: 0\n9: 0\n10: 0\n11: Coll(0,8,-51)\n12: false\n13: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R6[Coll[Byte]].get\n val coll4 = SELF.R4[Coll[Byte]].get\n val coll5 = CONTEXT.dataInputs\n sigmaProp(\n (\n if ((\n (\n (((coll2.size > placeholder[Int](1)) && (coll2(placeholder[Int](2))._1 == coll3)) && box1.R4[(Coll[Byte], Long)].isDefined) && box1.R5[\n Coll[Byte]\n ].isDefined\n ) && box1.R7[Coll[Long]].isDefined\n ) && (box1.R7[Coll[Long]].get.size == placeholder[Int](3))) {\n (HEIGHT.toLong >= box1.R7[Coll[Long]].get(placeholder[Int](4))) && OUTPUTS.exists(\n {(box6: Box) =>\n (\n (\n (\n (\n (\n (((blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](5)) && (box6.value == SELF.value)) && (box6.tokens == SELF.tokens)) && (\n box6.R4[Coll[Byte]].get == coll4\n )\n ) && (box6.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)\n ) && (box6.R6[Coll[Byte]].get == coll3)\n ) && (box6.R7[Coll[Byte]].get == SELF.R7[Coll[Byte]].get)\n ) && (box6.R8[Coll[Byte]].get == SELF.R8[Coll[Byte]].get)\n ) && (box6.R9[Coll[Long]].get == SELF.R9[Coll[Long]].get)\n }\n )\n } else { placeholder[Boolean](6) } || if (coll5.size > placeholder[Int](7)) {(\n val box6 = coll5(placeholder[Int](8))\n val coll7 = box6.tokens\n (((coll7.size > placeholder[Int](9)) && (coll7(placeholder[Int](10))._1 == coll3)) && box6.R5[Coll[Byte]].isDefined) && OUTPUTS.exists(\n {(box8: Box) => (box8.propositionBytes == placeholder[Coll[Byte]](11).append(coll4)) && (box8.value >= SELF.value) }\n )\n )} else { placeholder[Boolean](12) }\n ) || placeholder[Boolean](13)\n )\n}",
"address": "37ctMtRn9vVTWqBv78KJB7qWfKAduUEMpXHjmy96M7u3VLrcNT824j3iSngZsEGdhJZY7rHnLpBrRiC96gMtpDqeB5MNK2hBeaSYDNo8Hvsp6EL24daBBVKPFxGfyAL82yyz7HEwYUYeTAgQuboqGNATioM9Y71zdzzpMatYpc6boK4jY4fZUQHQwVKtPEbEVCr9FKQmNsJz5dM16En1QNKRKWdTiKQWwWHJoQydrtq1KE1eNEHnYVuDQCwApVufBq11paHTEfEc3LtA8rgrDsdfcyMcMSY8CVB5bZusJEGPTkLNyMjuzcKBMa1DQv784eHG1axoCSwrPHB7SjVizwDD3SXw3hb49WJaDguUWsA4bNMLTSKTsdKXUHPTkpJidWXy8FfHsLzVrHUiW5wt4nvwXcxyAmN13RAv7eWF7Q6VVksr6ovSrqePymjDLfsF2R2ZjGu4knrHwNBgg8jECYrbNkNRRGKhPfPNE9ZiMZ",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20e4ec5521186cf1c5b484a8e074eb241751a43823a8b3c077da8accad5808f78e",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4ec5521186cf1c5b484a8e074eb241751a43823a8b3c077da8accad5808f78e"
},
"R6": {
"serializedValue": "0e204f89392cd815213d7701804d3315e10b43a41b9b19b6e33e6b4756207dc51e93",
"sigmaType": "Coll[SByte]",
"renderedValue": "4f89392cd815213d7701804d3315e10b43a41b9b19b6e33e6b4756207dc51e93"
},
"R8": {
"serializedValue": "0e20a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2"
},
"R7": {
"serializedValue": "0e4064313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264",
"sigmaType": "Coll[SByte]",
"renderedValue": "64313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264"
},
"R9": {
"serializedValue": "1106a0e402f80ad804a09c010456",
"sigmaType": "Coll[SLong]",
"renderedValue": "[22800,700,300,10000,2,43]"
},
"R4": {
"serializedValue": "0e21026f371ad9887acfd802fcdcda422e706fc2aa8b9a1ea943741e2bd7477031dec3",
"sigmaType": "Coll[SByte]",
"renderedValue": "026f371ad9887acfd802fcdcda422e706fc2aa8b9a1ea943741e2bd7477031dec3"
}
}
},
{
"boxId": "73a1e49ff8bb36d35ee65f1d29ebf40538193086c55fa8c60c779bacccf3dab3",
"value": 130497800,
"index": 2,
"spendingProof": "ef95880e0379c42fbc5aafff2bf0cda0ef06575dcb94758b1c6b543592e12c7e1bf785f07df16c85b346eeccf465cdf80771aef5a3b81501",
"outputBlockId": "b1d6e619576afc09b83cc523742085e8922e887142a67eb6050bffd6a4951d3c",
"outputTransactionId": "67463e69fb4206ff4599130bdb9475aafbc091e120b9e27d05f8ae0f8ae0df96",
"outputIndex": 2,
"outputGlobalIndex": 49478140,
"outputCreatedAt": 1591257,
"outputSettledAt": 1591259,
"ergoTree": "0008cd026f371ad9887acfd802fcdcda422e706fc2aa8b9a1ea943741e2bd7477031dec3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6f371a,bb6869,...)))}",
"address": "9fN3MoJQyckgWuRwY7DNi72vJmN8zWBwe2wAw9mhk9wAaMcmHBb",
"assets": [
{
"tokenId": "362eefd80f9b541cd8399faffe21f83fc5d4164dcfd56f93d536932fe91975bc",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "fbe47feba615eafccffef1f0d194d8c1352dc1413fd7159095237e30d68fd902",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "8e82917ec8cbe85776ff50bd48ad81a18158e5a02b69e86e666b65b7f2a25e04",
"index": 2,
"amount": 10000,
"name": "Demo Test project APT",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "192a3b6a3f0fec229017d5d7caf3ca484f6f254ad857f7feffea2e82b9367eb5",
"index": 3,
"amount": 1100,
"name": "FALCON",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "ced60d5f7e21bf64284981fb6815faa940836402e57beecd882ce8184540e65f",
"index": 4,
"amount": 100000,
"name": "Test Jun APT",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "804d54a729d7021b122618674d811413642cbc383a731363716e2ff52d856be2",
"index": 5,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "960784126972436f07b8b9e9ea5e55f7e018d98c5d04620ec9bad789c28a95d8",
"index": 6,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "55714f83a5c8a040a8d692bd06cf1ec5a5783d19e0c72da04e49decbb25f6149",
"index": 7,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "d7130df063b3d7c2d90009fc836ba73c9d9a8d2408fd36d09410016dfd967d1d",
"index": 8,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "a83e0d468c8dd2b4329779e00d3602001773b619e14a9576a88afa2485f2ae7a",
"index": 9,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "7db1dbaa3551045ddb534283126e15479edb5fb70a92e617f008414a6deaecee",
"index": 10,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "c9b3248a1b068184a1cca337f8ca82d1480c022bb4d6d1f8058dda5cb0b35052",
"index": 11,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "b0de2f9c0afc9a008747b8d2cf31b87cc242f55fe227235054a3689e55551e34",
"index": 12,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "e6abaabab0641d32394b80f796208643a7e5201d8b44dd0ff265e42cea989f4f",
"index": 13,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "8a9290ea961182eb07a7edd7a425e327aab3b4b675c527026529441553cbd974",
"index": 14,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "d1da9a0c871553a779067ca95e22cb16e52038b408ce87304e21a4e3149abd7d",
"index": 15,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "9ad3dda72f8f81bc49f735bd1b9482a6281e82ffc7490bde084bd789802cc776",
"index": 16,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "ae91f9ece9f7b2bfe6e32354ab278c195913feb0ad8a42adfec6e29d6db6d3f5",
"index": 17,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "328c0d8e43211c6fffc540a40df957d25b70d208d83beaae6576cd3cae320a5d",
"index": 18,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "d57c42bebe3537bc753024de622a8f35405f94fc71dc0561cc555f0dfbe42cd3",
"index": 19,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "d8a08cfe8b5f71bba0389a2e1a6e69846e9357b604519e1b8409fd1d31cd4a26",
"index": 20,
"amount": 10,
"name": "Test TBT APT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "7182a1be8cb36052075566738b210789b99f4524c21afefde467e7b95f215a89",
"transactionId": "0a35db0bb83c2924bee65110243ee58ac4eacbdea5328f67a2ac3d7a95271a7d",
"blockId": "e188ee7e65d8f22e9d86d7fa78acaa03592602fa6f147c1948ce04cc8357894a",
"value": 1000000,
"index": 0,
"globalIndex": 49478320,
"creationHeight": 1591259,
"settlementHeight": 1591260,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(97,-88,7,-110,60,-73,68,81,58,32,41,-112,-37,-12,6,13,-63,-80,-118,-124,47,-123,-113,11,111,70,114,-85,124,41,99,-76)\n1: 0\n2: Coll(98,76,112,-19,36,-25,12,-43,36,-42,-20,25,70,43,3,-83,103,-56,91,-59,43,-84,68,19,-32,-104,100,-101,1,21,-85,-88)\n3: 1\n4: Coll(0,8,-51)\n5: 1\n6: 1\n7: 0\n8: 1\n9: 0\n10: 0\n11: -1\n12: false\n13: true\n14: true\n15: false\n16: false\n17: 0\n18: 0\n19: 0\n20: 2\n21: 1\n22: false\n23: 0\n24: 1\n25: 0\n26: 0\n27: 0\n28: 30\n29: 1\n30: -1\n31: -1\n32: false\n33: true\n34: false\n35: false\n36: 0\n37: 0\n38: 0\n39: 100\n40: 5\n41: 100\n42: 1000000\n43: 0\n44: 1000000\n45: 0\n46: 0\n47: 1000000\n48: 0\n49: 0\n50: 0\n51: 0\n52: 0\n53: true\n54: 0\n55: Coll(1,2,27,-8,71,1,104,-62,-62,50,-114,-39,-19,121,-16,2,32,70,38,102,48,-121,-51,-25,-69,-115,-51,-86,127,6,38,-90,85,104,-74,-74,-122,-108)\n56: true\n57: false",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[(Long, Int)].get._1\n val bool3 = l1 < l2\n val coll4 = placeholder[Coll[Byte]](0)\n val coll5 = SELF.tokens(placeholder[Int](1))._1\n val tuple6 = SELF.R5[(Coll[Byte], Coll[Byte])].get\n val coll7 = tuple6._2\n val coll8 = placeholder[Coll[Byte]](2)\n val coll9 = tuple6._1\n val coll10 = SELF.R6[Coll[Coll[Byte]]].get\n val coll11 = SELF.R7[Coll[Long]].get\n val tuple12 = SELF.R8[(Coll[Byte], Long)].get\n val l13 = tuple12._2\n val l14 = coll11(placeholder[Int](3))\n val coll15 = placeholder[Coll[Byte]](4)\n sigmaProp((if (((bool3 && (INPUTS.size > placeholder[Int](5))) && (OUTPUTS.size > placeholder[Int](6))) && (CONTEXT.dataInputs.size > placeholder[Int](7))) {(\n val box16 = INPUTS(placeholder[Int](8))\n val box17 = CONTEXT.dataInputs(placeholder[Int](9))\n val coll18 = box17.R5[Coll[Byte]].get\n val box19 = OUTPUTS(placeholder[Int](10))\n if (((blake2b256(box16.propositionBytes) == coll4) && (box16.R6[Coll[Byte]].get == coll5)) && (((coll18 == coll7) && (blake2b256(box17.propositionBytes) == coll8)) && (box17.R6[Coll[Byte]].get == coll5))) {(\n val tuple20 = (placeholder[Long](11), placeholder[Boolean](12))\n ((((((box19.propositionBytes == SELF.propositionBytes) && (box19.R5[(Coll[Byte], Coll[Byte])].get == (coll9, if (box16.R9[Coll[Long]].get.fold(tuple20, {(tuple21: ((Long, Boolean), Long)) =>\n val tuple23 = tuple21._1\n val l24 = tuple21._2\n if (tuple23._2) { tuple23 } else { if (blake2b256(box16.R7[Coll[Byte]].get.append(longToByteArray(l24)).append(box16.R8[Coll[Byte]].get).append(coll9)) == box16.R5[Coll[Byte]].get) { (l24, placeholder[Boolean](13)) } else { tuple23 } }\n })._1 > box17.R9[Coll[Long]].get.fold(tuple20, {(tuple21: ((Long, Boolean), Long)) =>\n val tuple23 = tuple21._1\n val l24 = tuple21._2\n if (tuple23._2) { tuple23 } else { if (blake2b256(box17.R7[Coll[Byte]].get.append(longToByteArray(l24)).append(box17.R8[Coll[Byte]].get).append(coll9)) == coll18) { (l24, placeholder[Boolean](14)) } else { tuple23 } }\n })._1) { box16.R5[Coll[Byte]].get } else { coll7 }))) && (box19.R6[Coll[Coll[Byte]]].get == coll10)) && (box19.R7[Coll[Long]].get == coll11)) && (box19.R8[(Coll[Byte], Int)].get._2.toLong == l13)) && (box19.R9[(Coll[Byte], Coll[Byte])].get == SELF.R9[(Coll[Byte], Coll[Byte])].get)) && OUTPUTS.exists({(box21: Box) => (((blake2b256(box21.propositionBytes) == coll8) && (box21.value == box16.value)) && (box21.R4[Coll[Byte]].get == box16.R4[Coll[Byte]].get)) && (box21.R5[Coll[Byte]].get == box16.R5[Coll[Byte]].get) })\n )} else { placeholder[Boolean](15) }\n )} else { placeholder[Boolean](16) } || if (bool3 && (CONTEXT.dataInputs.size > placeholder[Int](17))) {(\n val coll16 = CONTEXT.dataInputs\n val i17 = coll16.size\n val i18 = coll10.size\n if (if (i17 < if (i18 == placeholder[Int](18)) { placeholder[Int](19) } else { i18 / placeholder[Int](20) + placeholder[Int](21) }) { placeholder[Boolean](22) } else {(\n val coll19 = coll16.map({(box19: Box) => box19.tokens(placeholder[Int](23))._1 })\n coll19.indices.forall({(i20: Int) => !coll19.slice(i20 + placeholder[Int](24), i17).exists({(coll22: Coll[Byte]) => coll22 == coll19(i20) }) }) && coll16.forall({(box20: Box) => coll10.exists({(coll22: Coll[Byte]) => coll22 == box20.tokens(placeholder[Int](25))._1 }) && (box20.R5[Coll[Byte]].get == coll7) })\n )}) {(\n val box19 = OUTPUTS(placeholder[Int](26))\n ((box19.value >= SELF.value + INPUTS.filter({(box20: Box) => box20.R5[Coll[Byte]].get == coll7 })(placeholder[Int](27)).value) && (box19.R4[(Long, Int)].get._1 >= l2 + placeholder[Long](28))) && (box19.R5[(Coll[Byte], Coll[Byte])].get._2 == INPUTS.slice(placeholder[Int](29), INPUTS.size).fold((placeholder[Long](30), Coll[Byte]()), {(tuple20: ((Long, Coll[Byte]), Box)) =>\n val box22 = tuple20._2\n val coll23 = box22.R5[Coll[Byte]].get\n val tuple24 = tuple20._1\n if (coll23 != coll7) {(\n val l25 = box22.R9[Coll[Long]].get.fold((placeholder[Long](31), placeholder[Boolean](32)), {(tuple25: ((Long, Boolean), Long)) =>\n val tuple27 = tuple25._1\n val l28 = tuple25._2\n if (tuple27._2) { tuple27 } else { if (blake2b256(box22.R7[Coll[Byte]].get.append(longToByteArray(l28)).append(box22.R8[Coll[Byte]].get).append(coll9)) == coll23) { (l28, placeholder[Boolean](33)) } else { tuple27 } }\n })._1\n if (l25 > tuple24._1) { (l25, coll23) } else { tuple24 }\n )} else { tuple24 }\n })._2)\n )} else { placeholder[Boolean](34) }\n )} else { placeholder[Boolean](35) }) || if ((l1 >= l2) && (OUTPUTS.size > placeholder[Int](36))) {(\n val box16 = OUTPUTS(placeholder[Int](37))\n val coll17 = INPUTS.filter({(box17: Box) => blake2b256(box17.propositionBytes) == coll4 })\n val l18 = coll17.fold(placeholder[Long](38), {(tuple18: (Long, Box)) => tuple18._1 + tuple18._2.value })\n val l19 = l18 * l13 / placeholder[Long](39)\n val l20 = l18 * placeholder[Long](40) / placeholder[Long](41)\n val l21 = l18 - l19 - l20\n val bool22 = l21 >= placeholder[Long](42)\n val l23 = if (bool22) { l20 } else { placeholder[Long](43) }\n val l24 = if ((l23 < placeholder[Long](44)) && (l23 > placeholder[Long](45))) { l23 } else { placeholder[Long](46) }\n val l25 = if (bool22) { l14 + l19 } else { l14 }\n val l26 = if ((l25 < placeholder[Long](47)) && (l25 > placeholder[Long](48))) { l25 } else { placeholder[Long](49) }\n val l27 = l25 - l26\n val l28 = l23 - l24\n ((((box16.value >= if (bool22) { l21 } else { l21 + l19 + l20 } + l24 + l26) && (box16.propositionBytes == coll15.append(coll17.filter({(box29: Box) => box29.R5[Coll[Byte]].get == coll7 })(placeholder[Int](50)).R4[Coll[Byte]].get))) && (box16.tokens(placeholder[Int](51))._1 == coll5)) && if (l27 > placeholder[Long](52)) { OUTPUTS.exists({(box29: Box) => (box29.value >= l27) && (box29.propositionBytes == coll15.append(tuple12._1)) }) } else { placeholder[Boolean](53) }) && if (l28 > placeholder[Long](54)) { OUTPUTS.exists({(box29: Box) => (box29.value >= l28) && (box29.propositionBytes == coll15.append(placeholder[Coll[Byte]](55))) }) } else { placeholder[Boolean](56) }\n )} else { placeholder[Boolean](57) })\n}",
"address": "FkvK4ycZdACbJFpSUsaL4qoYo8CZyd4KmEHG3sJdfyXUt7gJ8CA2r1xDyr9CpHcczduRqJ7BcyVyuuP1PMJGnFokf4hsGGTQNDSrjxANf78GzVcLLRTPMihMU9MEMPAXrkZSj5D3Dtk4A9XnoUsJsyP24PuzeTsNspqda7SBQSxVAwqdNsuHdgQ3RGMx9xwCN2VL6PauCXTeaLGnTSixw3aEX6apR3PA8QTjNDb5x1kkSAeMy15Kh3VRAg4rXrm2xBdVaZkuJpLpr76BWrT177quXpVsbXx44cBjwewQB8HnEvsbxzhAx28q3T8MU9mr2LLLbQCNjyEFq2jTkyk8HBHwgwcJAepgBPhd9XHJ8HPuf7EGNoDVFGYNZ7eLuwqmHUKkQsiLjouPyHooAKF5j3WsktNvYEQK4KCQCmUzgadw7qBnomwSSN11cPM3RW2AMdTPh7gp5kRQHUrHzQyRCNmCqaudEBUtw7oixmBcTsiJPFiz1Zr9Uvo3R1FqFSFD7DTB8vpSeJ4CDFgr4eycAzDMKjkSPtKnUhx5jMXzEEXoAu3QDy7F2rE8VPrS36UbQdzuFMR6hdwrYRUQbFHKVpFD9zrZadY5bTCxQDeCsPBrUPdykqvNG19enxAb4ib8weiMDDfRHSfCQiuvqQJhRxLDn9y9N8ftGCjnuXpzkFP8iEzohyPAExGSfRamHdqwhidRc7A1dyVeBGA9jZoyqftUd4m83bf5U7EQ11pHc6keNQWnZ1qwrYSMQNHgWJ6faiBWwgaJEfBxkarGbVvkSPcWFqhBzZKpYowf4VvzMgSAe86a3XCauU38RXRnJNbFqSRvb2f6A66LDScXjnwPkmCL12FKJKXHyH2EsVUYqaXhg8erKATTAjZGh9YAxddHXfn29G1CTjHFP3ihkXGgAxjbYrqQa6Kxi3KEWoYS7YexePMojw38yH3B6i5z9kqJCYHU7FPRSgGjE19xYsFYkeuu1S9BcYwcDFL4uuKg6SgFhjvCzpgj9XfArv8WoxqbrNb5TkDRumuiYhKfQpriZhbHnbb1Hfj3yJwPcL3xsynudif62Hmqb3N6QXcrN5zny1PmDN9FwxicDMEVDZqcg94EjEFem5ZnMpMYvf3vSSg9bvij727h2DASSZncYXB2Q3U9ReEdJhuaNCZWNCvTh31jprvgeXGDLRVcJjyrsLwBoh2Ai5iBR7hQYoW8NcGT59W2oK7kcgBSKwHmGVQyhGUiJVuqxwxpEkMjinKWCYfHvrobBFFp6yQCz6oBZh5etoToQmCbVKhPQRbz1ykjTaxGFNhQdUmBPLp94ggfca4us7ba47ApLgj82KwFAhnSfKtjAgvt7ZnAvsv2ugZsaaJqPphA5Qo38ZSmPbFkwbGhEd2CUDXFYDGtqMjZy6nv4G9vMqSEtRDWWmCRcNX4zF7WsCW9R3AGgYFBwzGHmBoShkeyoVt4tACd6dextriAM3KisZ3ZV2ZnbV4nc3xq75u9hyXe62bBKdCRSWKrXzcdi8pY2UA2FpbAW6umX8AdTrsf8n6pyAtsajfVzsoTKQptwQLcLTaYBe9PpEkFoduZfnhZiykJo7SmMSB6x4ATV3Bo6zeWbch2RYoHs31TQparZ2mTwHZUMeYJumQnj9fW5RD6KSrGivMSGLBSzWzX8JDWWeeNN4XvFWM7ifF63CzoSUB7EvyePqYbjwDKaiFV8y3bv1pDkw2vFeNDbyGE2zHFVGY1SjfWSamZMkQpHevrTAkf36e2PhZHgXqurkoubugpXJ2FfhwNY27tSf97ouNqVgi9SfG4wSzb8qUs5xayW8cB5E7jxDnmudic8gJgsPfi66gHmo76Lnvphh43BmMk1X5uG9aA5jt7pU32YFof82YwFUn7tLT4HDbfN3eq52DpZJErHeXcq11NQ5",
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