Transaction
ID: d189a94a9a...07f5
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:
0.4146978 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:
0.4135978 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 181,336
Total coins transferred: 0.4166978 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000037 ERG
Raw Transaction Data
{
"id": "d189a94a9a3dffd2eaf2122fd14a7183c3b528caf5856cbe9f6e88943d7607f5",
"blockId": "6194a8dc011a06d30ebd8161eb7316e666ec5f924f34373761d25b6a918c9457",
"inclusionHeight": 1587489,
"timestamp": 1754818378010,
"index": 1,
"globalIndex": 9330314,
"numConfirmations": 181336,
"inputs": [
{
"boxId": "72f20c08ec9d61dc657fdac35580bc8ccbc03ba9e511c4d3595305469643e005",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f990bb470ef2d6f03074b2521f5f97c2f30134b436f443dcd07e8bed5f2bfba5",
"outputTransactionId": "5fda37074c60a723a46f83e77c301b811de3fb6c090cb22ad3d2edbf420a3833",
"outputIndex": 0,
"outputGlobalIndex": 49372739,
"outputCreatedAt": 1587483,
"outputSettledAt": 1587486,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 0\n4: true\n5: true\n6: true\n7: 0\n8: Coll(72,33,84,-50,-10,-45,107,28,-66,64,-7,-73,92,14,-11,-42,-99,-7,95,127,118,-105,-101,126,-22,-123,-41,52,-94,-15,-9,-40)\n9: -1\n10: 0\n11: -1\n12: false\n13: true\n14: 2\n15: 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)\n16: 1\n17: 1\n18: 1\n19: false\n20: false\n21: false\n22: false\n23: 2\n24: 0\n25: Coll(-112,-48,47,-108,-117,90,122,-103,-83,83,-53,5,86,-126,92,108,-88,-104,71,-58,-115,124,97,119,98,17,97,71,84,-52,25,69)\n26: 5\n27: 1\n28: 1\n29: 30\n30: false\n31: 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.tokens(placeholder[Int](1))._1\n val l5 = coll2(placeholder[Int](2))\n val tuple6 = SELF.R4[(Coll[Byte], Long)].get\n sigmaProp(if (l1 >= l3) {(\n val box7 = OUTPUTS(placeholder[Int](3))\n val tuple8 = box7.R5[(Coll[Byte], Coll[Byte])].get\n if (placeholder[Boolean](4)) { if (placeholder[Boolean](5)) { if (placeholder[Boolean](6)) {(\n val coll9 = SELF.R6[Coll[Coll[Byte]]].get\n val coll10 = CONTEXT.dataInputs\n val coll11 = coll10.map({(box11: Box) => box11.tokens(placeholder[Int](7))._1 })\n ((coll9.size == coll10.size) && coll9.forall({(coll12: Coll[Byte]) => coll11.exists({(coll14: Coll[Byte]) => coll14 == coll12 }) })) && (((((((tuple8._2 == INPUTS.filter({(box12: Box) => (blake2b256(box12.propositionBytes) == placeholder[Coll[Byte]](8)) && (box12.R6[Coll[Byte]].get == coll4) }).fold((placeholder[Long](9), (Coll[Byte](), placeholder[Int](10))), {(tuple12: ((Long, (Coll[Byte], Int)), Box)) =>\n val box14 = tuple12._2\n val coll15 = box14.R5[Coll[Byte]].get\n val tuple16 = box14.R9[Coll[Long]].get.fold((placeholder[Long](11), placeholder[Boolean](12)), {(tuple16: ((Long, Boolean), Long)) =>\n val tuple18 = tuple16._1\n val l19 = tuple16._2\n if (tuple18._2) { tuple18 } else { if (blake2b256(box14.R7[Coll[Byte]].get.append(longToByteArray(l19)).append(box14.R8[Coll[Byte]].get).append(tuple8._1)) == coll15) { (l19, placeholder[Boolean](13)) } else { tuple18 } }\n })\n val l17 = box14.value\n val bool18 = (tuple16._2 && (l17 >= coll2(placeholder[Int](14)))) && OUTPUTS.exists({(box18: Box) => (((blake2b256(box18.propositionBytes) == placeholder[Coll[Byte]](15)) && (box18.value == l17)) && (box18.R4[Coll[Byte]].get == box14.R4[Coll[Byte]].get)) && (box18.R5[Coll[Byte]].get == coll15) })\n val tuple19 = tuple12._1\n val l20 = tuple16._1\n val tuple21 = tuple19._2\n val i22 = tuple21._2\n val l23 = tuple19._1\n if (bool18 && \n val l24 = l23\n l20 > l24\n ) {(\n val i24 = i22\n (l20, (coll15, i24 + placeholder[Int](16)))\n )} else { if (bool18) { (l23, (tuple21._1, i22 + placeholder[Int](17))) } else { tuple19 } }\n })._2._1) && (box7.value >= l5)) && (box7.tokens.filter({(tuple12: (Coll[Byte], Long)) => tuple12._1 == coll4 }).size == placeholder[Int](18))) && (box7.R6[Coll[Coll[Byte]]].get == coll11)) && (box7.R7[Coll[Long]].get == coll2)) && (box7.R8[(Coll[Byte], Long)].get == tuple6)) && (box7.R9[(Coll[Byte], Coll[Byte])].get == (tuple6._1, SELF.R8[Coll[Byte]].get)))\n )} else { placeholder[Boolean](19) } } else { placeholder[Boolean](20) } } else { placeholder[Boolean](21) }\n )} else { placeholder[Boolean](22) } || if ((l1 < l3) && (OUTPUTS.size >= placeholder[Int](23))) {(\n val box7 = OUTPUTS(placeholder[Int](24))\n val tuple8 = box7.R5[(Long, Coll[Byte])].get\n if ((blake2b256(tuple8._2) == SELF.R5[Coll[Byte]].get) && (blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](25))) {(\n val l9 = l5 / placeholder[Long](26)\n (OUTPUTS(placeholder[Int](27)).value >= l9) && (((((box7.value >= l5 - l9) && (box7.tokens.filter({(tuple10: (Coll[Byte], Long)) => tuple10._1 == coll4 }).size == placeholder[Int](28))) && (tuple8._1 >= l1 + placeholder[Long](29))) && (box7.R4[(Coll[Byte], Long)].get == tuple6)) && (box7.R7[Coll[Long]].get == coll2))\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) })\n}",
"address": "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",
"assets": [
{
"tokenId": "05f0f72e759945686d5e156a7c8a02df979e49b1b2e5f7b898a4d5ec067ad79c",
"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": "0e9e017b227469746c65223a2254657374205631222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2254657374205631222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d7d"
},
"R7": {
"serializedValue": "1103bce4c10180897a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1587486,1000000,1000000]"
},
"R4": {
"serializedValue": "4d0e21026f371ad9887acfd802fcdcda422e706fc2aa8b9a1ea943741e2bd7477031dec314",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[026f371ad9887acfd802fcdcda422e706fc2aa8b9a1ea943741e2bd7477031dec3,10]"
}
}
},
{
"boxId": "747dfc93fccdfb411c6eea42f0e89c8496c02a4e43c00b192cf82ef9e7605690",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "0cb7016fcc54421bbdd776989a26b1abe4985c8e492a97cfb0d76b723189e8b4",
"outputTransactionId": "76f3b2f8e36778fd0e79bb4a225388a72d35cc083fc80d7ca5b03d2b10238cf3",
"outputIndex": 0,
"outputGlobalIndex": 49372825,
"outputCreatedAt": 1587486,
"outputSettledAt": 1587488,
"ergoTree": "19f30210040004000400040604000e20624c70ed24e70cd524d6ec19462b03ad67c85bc52bac4413e098649b0115aba80100040004000400040005000e030008cd010001000100d805d601b2a4730000d602db63087201d603e4c6a7060ed604e4c6a7040ed605db6501fed1ecec95ededededed91b172027301938cb27202730200017203e6c67201044d0ee6c67201050ee6c67201071193b1e4c6720107117303ed927ea305b2e4c672010711730400aea5d9010663edededededededed93cbc27206730593c17206c1a793db63087206db6308a793e4c67206040e720493e4c67206050ee4c6a7050e93e4c67206060e720393e4c67206070ee4c6a7070e93e4c67206080ee4c6a7080e93e4c672060911e4c6a7091173069591b172057307d802d606b27205730800d607db6308720695eded91b172077309938cb27207730a00017203e6c6720605410eed918ce4c6720605410e01730baea5d9010863ed93c27208b3730c720492c17208c1a7730d730e730f",
"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: 0\n12: Coll(0,8,-51)\n13: false\n14: false\n15: 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 if (((coll7.size > placeholder[Int](9)) && (coll7(placeholder[Int](10))._1 == coll3)) && box6.R5[(Long, Coll[Byte])].isDefined) {\n (box6.R5[(Long, Coll[Byte])].get._1 > placeholder[Long](11)) && OUTPUTS.exists(\n {(box8: Box) => (box8.propositionBytes == placeholder[Coll[Byte]](12).append(coll4)) && (box8.value >= SELF.value) }\n )\n } else { placeholder[Boolean](13) }\n )} else { placeholder[Boolean](14) }\n ) || placeholder[Boolean](15)\n )\n}",
"address": "8YN7KVyEakfnv7X52qemeZhnFMUTp99Mv4wntUv4UwqH92aEgmPyxttt8bA9f3c6mEvfnt2q5VXFTX5RM6x3fSkKf4vSzg8sQMDnV8npTYzqVENjeXYvrJSVb913dUjAkepEwziH6u4N8zcB3AyoRiBWxnq17uH6dz41Hn9Y4RFLKX7C6jWesgzQNZ4kuduxYJqbqMzMCdTdMUjG9FsVbTktY9SU6fS1VZ3aW1AUrGxUsxL6GqaLpyQcB3wQ9ixqnxnC8kjxY4VFwrAqoyqHc4UKVeUHRm39AvLgE7tUvmC5vuuVUXkVdWMRVVUZKhp4323wTCRiKgVkY1Bxx3ixK91DKLYJP3kcqJk5hXSW9sPJXPvsqYPfHWt3Rh2orW6JppbKdqaRYMfxioC3pbs6nby35jm4TpgtM6dLx9qR8zEhHJDkkeUXTJFuruMUbF44ieiQHpMKEHQy6UMgHv8qaREp9kCutHiHFGtVCi4jvN9WW4jeCXrG892ozLsWA7nzWpbdD",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20e4ec5521186cf1c5b484a8e074eb241751a43823a8b3c077da8accad5808f78e",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4ec5521186cf1c5b484a8e074eb241751a43823a8b3c077da8accad5808f78e"
},
"R6": {
"serializedValue": "0e2005f0f72e759945686d5e156a7c8a02df979e49b1b2e5f7b898a4d5ec067ad79c",
"sigmaType": "Coll[SByte]",
"renderedValue": "05f0f72e759945686d5e156a7c8a02df979e49b1b2e5f7b898a4d5ec067ad79c"
},
"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "64313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264"
},
"R9": {
"serializedValue": "1101a0e402",
"sigmaType": "Coll[SLong]",
"renderedValue": "[22800]"
},
"R4": {
"serializedValue": "0e21026f371ad9887acfd802fcdcda422e706fc2aa8b9a1ea943741e2bd7477031dec3",
"sigmaType": "Coll[SByte]",
"renderedValue": "026f371ad9887acfd802fcdcda422e706fc2aa8b9a1ea943741e2bd7477031dec3"
}
}
},
{
"boxId": "7aa450344d48de654df520cb5386791e30981b3c0863921b7ee1f0e1a5830744",
"value": 414697800,
"index": 2,
"spendingProof": "8c063a72a5bc1083e17a29ffaeb40851c4b69efaa9cc95093c6df27cd00052026bd80da2bda15a644c9306dda91436fe63aabb2e68947144",
"outputBlockId": "0cb7016fcc54421bbdd776989a26b1abe4985c8e492a97cfb0d76b723189e8b4",
"outputTransactionId": "76f3b2f8e36778fd0e79bb4a225388a72d35cc083fc80d7ca5b03d2b10238cf3",
"outputIndex": 2,
"outputGlobalIndex": 49372827,
"outputCreatedAt": 1587486,
"outputSettledAt": 1587488,
"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": "dcc5b3bfe4f6f6112e13d0e1ed4c05f9dc4ec10b61d44d0b3fc994a7d7cf5820",
"transactionId": "d189a94a9a3dffd2eaf2122fd14a7183c3b528caf5856cbe9f6e88943d7607f5",
"blockId": "6194a8dc011a06d30ebd8161eb7316e666ec5f924f34373761d25b6a918c9457",
"value": 1000000,
"index": 0,
"globalIndex": 49372831,
"creationHeight": 1587488,
"settlementHeight": 1587489,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 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)\n2: Coll(0,8,-51)\n3: 1\n4: 1\n5: 0\n6: 1\n7: 0\n8: 0\n9: Coll(72,33,84,-50,-10,-45,107,28,-66,64,-7,-73,92,14,-11,-42,-99,-7,95,127,118,-105,-101,126,-22,-123,-41,52,-94,-15,-9,-40)\n10: -1\n11: false\n12: true\n13: true\n14: false\n15: false\n16: 0\n17: 0\n18: 2\n19: 1\n20: false\n21: 0\n22: 1\n23: 0\n24: 0\n25: 0\n26: 30\n27: 1\n28: -1\n29: -1\n30: false\n31: true\n32: false\n33: false\n34: 1\n35: 0\n36: 0\n37: 100\n38: 1000000\n39: 0\n40: 5\n41: 100\n42: 1000000\n43: 0\n44: 1\n45: 2\n46: 0\n47: 0\n48: 1\n49: 1\n50: 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)\n51: true\n52: false",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[(Long, Int)].get._1\n val bool3 = l1 < l2\n val coll4 = SELF.tokens(placeholder[Int](0))._1\n val tuple5 = SELF.R5[(Coll[Byte], Coll[Byte])].get\n val coll6 = tuple5._2\n val coll7 = placeholder[Coll[Byte]](1)\n val coll8 = tuple5._1\n val coll9 = SELF.R6[Coll[Coll[Byte]]].get\n val coll10 = SELF.R7[Coll[Long]].get\n val tuple11 = SELF.R8[(Coll[Byte], Long)].get\n val l12 = tuple11._2\n val coll13 = placeholder[Coll[Byte]](2)\n sigmaProp((if (((bool3 && (INPUTS.size > placeholder[Int](3))) && (OUTPUTS.size > placeholder[Int](4))) && (CONTEXT.dataInputs.size > placeholder[Int](5))) {(\n val box14 = INPUTS(placeholder[Int](6))\n val box15 = CONTEXT.dataInputs(placeholder[Int](7))\n val coll16 = box15.R5[Coll[Byte]].get\n val box17 = OUTPUTS(placeholder[Int](8))\n if (((blake2b256(box14.propositionBytes) == placeholder[Coll[Byte]](9)) && (box14.R6[Coll[Byte]].get == coll4)) && (((coll16 == coll6) && (blake2b256(box15.propositionBytes) == coll7)) && (box15.R6[Coll[Byte]].get == coll4))) {(\n val tuple18 = (placeholder[Long](10), placeholder[Boolean](11))\n ((((((box17.propositionBytes == SELF.propositionBytes) && (box17.R5[(Coll[Byte], Coll[Byte])].get == (coll8, if (box14.R9[Coll[Long]].get.fold(tuple18, {(tuple19: ((Long, Boolean), Long)) =>\n val tuple21 = tuple19._1\n val l22 = tuple19._2\n if (tuple21._2) { tuple21 } else { if (blake2b256(box14.R7[Coll[Byte]].get.append(longToByteArray(l22)).append(box14.R8[Coll[Byte]].get).append(coll8)) == box14.R5[Coll[Byte]].get) { (l22, placeholder[Boolean](12)) } else { tuple21 } }\n })._1 > box15.R9[Coll[Long]].get.fold(tuple18, {(tuple19: ((Long, Boolean), Long)) =>\n val tuple21 = tuple19._1\n val l22 = tuple19._2\n if (tuple21._2) { tuple21 } else { if (blake2b256(box15.R7[Coll[Byte]].get.append(longToByteArray(l22)).append(box15.R8[Coll[Byte]].get).append(coll8)) == coll16) { (l22, placeholder[Boolean](13)) } else { tuple21 } }\n })._1) { box14.R5[Coll[Byte]].get } else { coll6 }))) && (box17.R6[Coll[Coll[Byte]]].get == coll9)) && (box17.R7[Coll[Long]].get == coll10)) && (box17.R8[(Coll[Byte], Int)].get._2.toLong == l12)) && (box17.R9[(Coll[Byte], Coll[Byte])].get == SELF.R9[(Coll[Byte], Coll[Byte])].get)) && OUTPUTS.exists({(box19: Box) => (((blake2b256(box19.propositionBytes) == coll7) && (box19.value == box14.value)) && (box19.R4[Coll[Byte]].get == box14.R4[Coll[Byte]].get)) && (box19.R5[Coll[Byte]].get == box14.R5[Coll[Byte]].get) })\n )} else { placeholder[Boolean](14) }\n )} else { placeholder[Boolean](15) } || if (bool3) {(\n val coll14 = CONTEXT.dataInputs\n val i15 = coll14.size\n val i16 = coll9.size\n if (if (i15 < if (i16 == placeholder[Int](16)) { placeholder[Int](17) } else { i16 / placeholder[Int](18) + placeholder[Int](19) }) { placeholder[Boolean](20) } else {(\n val coll17 = coll14.map({(box17: Box) => box17.tokens(placeholder[Int](21))._1 })\n coll17.indices.forall({(i18: Int) => !coll17.slice(i18 + placeholder[Int](22), i15).exists({(coll20: Coll[Byte]) => coll20 == coll17(i18) }) }) && coll14.forall({(box18: Box) => coll9.exists({(coll20: Coll[Byte]) => coll20 == box18.tokens(placeholder[Int](23))._1 }) && (box18.R5[Coll[Byte]].get == coll6) })\n )}) {(\n val box17 = OUTPUTS(placeholder[Int](24))\n ((box17.value >= SELF.value + INPUTS.filter({(box18: Box) => box18.R5[Coll[Byte]].get == coll6 })(placeholder[Int](25)).value) && (box17.R4[(Long, Int)].get._1 >= l2 + placeholder[Long](26))) && (box17.R5[(Coll[Byte], Coll[Byte])].get._2 == INPUTS.slice(placeholder[Int](27), INPUTS.size).fold((placeholder[Long](28), Coll[Byte]()), {(tuple18: ((Long, Coll[Byte]), Box)) =>\n val box20 = tuple18._2\n val coll21 = box20.R5[Coll[Byte]].get\n val tuple22 = tuple18._1\n if (coll21 != coll6) {(\n val l23 = box20.R9[Coll[Long]].get.fold((placeholder[Long](29), placeholder[Boolean](30)), {(tuple23: ((Long, Boolean), Long)) =>\n val tuple25 = tuple23._1\n val l26 = tuple23._2\n if (tuple25._2) { tuple25 } else { if (blake2b256(box20.R7[Coll[Byte]].get.append(longToByteArray(l26)).append(box20.R8[Coll[Byte]].get).append(coll8)) == coll21) { (l26, placeholder[Boolean](31)) } else { tuple25 } }\n })._1\n if (l23 > tuple22._1) { (l23, coll21) } else { tuple22 }\n )} else { tuple22 }\n })._2)\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) }) || if ((l1 >= l2) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box14 = OUTPUTS(placeholder[Int](35))\n val l15 = INPUTS.filter({(box15: Box) => box15.propositionBytes == coll7 }).fold(placeholder[Long](36), {(tuple15: (Long, Box)) => tuple15._1 + tuple15._2.value })\n val l16 = l15 * l12 / placeholder[Long](37)\n val l17 = if (l16 > placeholder[Long](38)) { l16 } else { placeholder[Long](39) }\n val l18 = l15 * placeholder[Long](40) / placeholder[Long](41)\n val bool19 = l18 > placeholder[Long](42)\n val l20 = if (bool19) { l18 } else { placeholder[Long](43) }\n val box21 = OUTPUTS(placeholder[Int](44))\n val box22 = OUTPUTS(placeholder[Int](45))\n (((((box14.value >= l15 - l17 - l20 - if (bool19) { l18 } else { placeholder[Long](46) }) && (box14.propositionBytes == coll13.append(INPUTS.filter({(box23: Box) => box23.R5[Coll[Byte]].get == coll6 })(placeholder[Int](47)).R4[Coll[Byte]].get))) && (box14.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll4 }).size == placeholder[Int](48))) && ((box21.value >= coll10(placeholder[Int](49)) + l17) && (box21.propositionBytes == coll13.append(tuple11._1)))) && ((box22.propositionBytes == coll13.append(placeholder[Coll[Byte]](50))) && (box22.value >= l20))) && placeholder[Boolean](51)\n )} else { placeholder[Boolean](52) })\n}",
"address": "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",
"assets": [
{
"tokenId": "05f0f72e759945686d5e156a7c8a02df979e49b1b2e5f7b898a4d5ec067ad79c",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "3c0e0e2035aa11186c18d3e04f81656248213a1a3c43e89a67045763287e644db60c3f2120e4ec5521186cf1c5b484a8e074eb241751a43823a8b3c077da8accad5808f78e",
"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[35aa11186c18d3e04f81656248213a1a3c43e89a67045763287e644db60c3f21,e4ec5521186cf1c5b484a8e074eb241751a43823a8b3c077da8accad5808f78e]"
},
"R6": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R8": {
"serializedValue": "4d0e21026f371ad9887acfd802fcdcda422e706fc2aa8b9a1ea943741e2bd7477031dec314",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[026f371ad9887acfd802fcdcda422e706fc2aa8b9a1ea943741e2bd7477031dec3,10]"
},
"R7": {
"serializedValue": "1103bce4c10180897a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1587486,1000000,1000000]"
},
"R9": {
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"sigmaType": "(Coll[SByte], Coll[SByte])",
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