Transaction
ID: 6cb79405f6...c8f6
Inputs (4)
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:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.8295518 ERG
Tokens:
Loading assets...
Outputs (5)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.8284518 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 148,475
Total coins transferred: 0.8325518 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000302 ERG
Raw Transaction Data
{
"id": "6cb79405f6cfd8acbcd5f6570a77df08674892c5a8f18cc27411b33c5dfec8f6",
"blockId": "c9d1867c6e0b832f60a38079e2e08703b63be83d35cc1dc351ae11bc1e793bfe",
"inclusionHeight": 1618050,
"timestamp": 1758528264970,
"index": 22,
"globalIndex": 9508754,
"numConfirmations": 148475,
"inputs": [
{
"boxId": "e8fc0905f1daf0cda3da09452a6fd895b8abc0955090fa525294fb9fd4e36732",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "e4c26b4635905e65a4448009dca2eb7162783bb5ea2a22730b0a084e4bb9e058",
"outputTransactionId": "f0cf43d9cf1f6324ac52d99bf6817c5e50f243de9612bdeb898cb7528b2bdb21",
"outputIndex": 0,
"outputGlobalIndex": 50393469,
"outputCreatedAt": 1618042,
"outputSettledAt": 1618043,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(83,24,-22,60,-69,-94,-32,-45,107,122,55,60,72,-50,10,40,13,-118,107,-23,26,7,58,71,-25,61,-88,-79,-99,-69,17,69)\n3: 2\n4: 1\n5: 0\n6: 0\n7: Coll(-118,-56,-38,-73,78,21,-87,46,20,85,-82,34,-67,117,-110,101,-86,20,-59,-33,-80,41,-9,-22,78,15,-5,-66,-68,-101,8,41)\n8: Coll(-114,114,115,31,-96,-84,59,85,-65,-19,67,-66,74,-50,76,84,-89,58,-45,-119,120,-1,-115,-65,-97,-27,-127,-29,-32,-98,-41,-84)\n9: -1\n10: 0\n11: -1\n12: false\n13: true\n14: 1\n15: 1\n16: -1\n17: 0\n18: 1\n19: 1\n20: 0\n21: 1\n22: 2\n23: 3\n24: 30\n25: 4\n26: false\n27: false\n28: false\n29: false\n30: 2\n31: 0\n32: 5\n33: 1000000\n34: 1000000\n35: Coll(-114,10,-82,-64,-66,49,-126,-79,-119,82,14,127,111,55,-64,-59,55,-91,109,94,23,22,31,-70,97,-16,-79,-50,-89,-53,-120,-85)\n36: 1\n37: 2\n38: 30\n39: 1\n40: 1000000\n41: false",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val coll2 = SELF.R8[Coll[Long]].get\n val l3 = coll2(placeholder[Int](0))\n val coll4 = SELF.R6[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 l8 = coll2(placeholder[Int](4))\n val tuple9 = SELF.R5[(Coll[Byte], Long)].get\n sigmaProp((SELF.R4[Int].get == placeholder[Int](5)) && (if (l1 >= l3) {(\n val box10 = OUTPUTS(placeholder[Int](6))\n val tuple11 = box10.R5[(Coll[Byte], Coll[Byte])].get\n val coll12 = tuple11._1\n val coll13 = INPUTS.filter({(box13: Box) => (blake2b256(box13.propositionBytes) == placeholder[Coll[Byte]](7)) && (box13.R6[Coll[Byte]].get == coll5) })\n if (((blake2b256(coll12) == coll4) && (blake2b256(box10.propositionBytes) == placeholder[Coll[Byte]](8))) && (coll13.size == OUTPUTS.filter({(box14: Box) => (blake2b256(box14.propositionBytes) == coll6) && (box14.R6[Coll[Byte]].get == coll5) }).size)) {(\n val tuple14 = coll13.fold((placeholder[Long](9), (Coll[Byte](), placeholder[Long](10))), {(tuple14: ((Long, (Coll[Byte], Long)), Box)) =>\n val box16 = tuple14._2\n val coll17 = box16.R5[Coll[Byte]].get\n val tuple18 = box16.R9[Coll[Long]].get.fold((placeholder[Long](11), placeholder[Boolean](12)), {(tuple18: ((Long, Boolean), Long)) =>\n val tuple20 = tuple18._1\n val l21 = tuple18._2\n if (tuple20._2) { tuple20 } else { if (blake2b256(box16.R7[Coll[Byte]].get.append(longToByteArray(l21)).append(box16.R8[Coll[Byte]].get).append(coll12)) == coll17) { (l21, placeholder[Boolean](13)) } else { tuple20 } }\n })\n val l19 = box16.value\n val bool20 = (tuple18._2 && (l19 >= l7)) && OUTPUTS.exists({(box20: Box) => (((blake2b256(box20.propositionBytes) == coll6) && (box20.value == l19)) && (box20.R4[Coll[Byte]].get == box16.R4[Coll[Byte]].get)) && (box20.R5[Coll[Byte]].get == coll17) })\n val tuple21 = tuple14._1\n val l22 = tuple18._1\n val tuple23 = tuple21._2\n val l24 = tuple23._2\n val l25 = tuple21._1\n if (bool20 && \n val l26 = l25\n l22 > l26\n ) {(\n val l26 = l24\n (l22, (coll17, l26 + placeholder[Long](14)))\n )} else { if (bool20) { (l25, (tuple23._1, l24 + placeholder[Long](15))) } else { tuple21 } }\n })\n val tuple15 = tuple14._2\n if (tuple14._1 > placeholder[Long](16)) {(\n val l16 = tuple15._2\n if (l16 == coll13.size.toLong) {(\n val coll17 = SELF.R7[Coll[Coll[Byte]]].get\n val coll18 = CONTEXT.dataInputs\n val coll19 = coll18.map({(box19: Box) => box19.tokens(placeholder[Int](17))._1 })\n ((coll17.size == coll18.size) && coll17.forall({(coll20: Coll[Byte]) => coll19.exists({(coll22: Coll[Byte]) => coll22 == coll20 }) })) && ((((((((((((tuple11._2 == tuple15._1) && (box10.value >= l8)) && (box10.tokens.filter({(tuple20: (Coll[Byte], Long)) => tuple20._1 == coll5 }).size == placeholder[Int](18))) && (box10.R4[Int].get == placeholder[Int](19))) && (box10.R6[Coll[Coll[Byte]]].get == coll19)) && (box10.R7[Coll[Long]].get(placeholder[Int](20)) == l3)) && (box10.R7[Coll[Long]].get(placeholder[Int](21)) == l8)) && (box10.R7[Coll[Long]].get(placeholder[Int](22)) == l7)) && (box10.R7[Coll[Long]].get(placeholder[Int](23)) >= l1 + placeholder[Long](24))) && (box10.R7[Coll[Long]].get(placeholder[Int](25)) == l16)) && (box10.R8[(Coll[Byte], Long)].get._2 == tuple9._2)) && (box10.R9[(Coll[Byte], Coll[Byte])].get == (tuple9._1, SELF.R9[Coll[Byte]].get)))\n )} else { placeholder[Boolean](26) }\n )} else { placeholder[Boolean](27) }\n )} else { placeholder[Boolean](28) }\n )} else { placeholder[Boolean](29) } || if ((l1 < l3) && (OUTPUTS.size >= placeholder[Int](30))) {(\n val box10 = OUTPUTS(placeholder[Int](31))\n val l11 = l8 / placeholder[Long](32)\n val l12 = l8 - l11\n val bool13 = l12 < placeholder[Long](33)\n val l14 = if (bool13) { placeholder[Long](34) } else { l12 }\n ((((((((blake2b256(box10.propositionBytes) == placeholder[Coll[Byte]](35)) && (box10.value >= l14)) && (box10.tokens.filter({(tuple15: (Coll[Byte], Long)) => tuple15._1 == coll5 }).size == placeholder[Int](36))) && (box10.R4[Int].get == placeholder[Int](37))) && (box10.R5[Long].get >= l1 + placeholder[Long](38))) && (blake2b256(box10.R6[Coll[Byte]].get) == coll4)) && (box10.R7[Long].get == l14)) && box10.R8[Coll[Byte]].isDefined) && (OUTPUTS(placeholder[Int](39)).value >= if (bool13) { l8 - placeholder[Long](40) } else { l11 })\n )} else { placeholder[Boolean](41) }))\n}",
"address": "PvqSSqckAa5pHpbVnu2NYGjrhT7bVjZZn7SYwfTL77N14YMr1T34WHxzPLZKzkg6F4ZfCcgowe5nzJta7UpNikKXVg7bWihsMEVPy9zppXkhvRNceocymE7N3dBD8SRnUxxLkwf13GZr8YTro2gkG1B3q9zFW8DPRC9mWWXtRtnb3RGKX78hA4TTzzimWZwpvgc1QutoHmqBj5TWmvsYANAo8samdkittEQ71BMaAtDhvCjMcsFHAupEBqPar9q3xBffDZkSdv8sJ4ggZ24tQh3D9YPZpV5BgdfUuWr1twMPUbmReCpDwpAZFofaRMUbByczPudSuNgqYfK3nx6TiNvFPMBhPFr14pK9r3VYEMmxpkbEgRMkYhSqd3jMaq27X3LpkcUjwa9XBA7XDkuHJL3NEmbeSMHyf7WabxgfC9PNjRtAWi98HLy8GR8b8523zzqUqt1W4rnpnLYi6YFfp4Pyn38EiJLddVDgiaD9nReXKUyKSpr27N1rx3sKbZUR1SsD2L8BdqD6tdBTKZZXfQ6t86qobbpgZ1JomigCWPeGisnfs5yvoGXaYsEbYeoXFTyYVzsw6JhfxHR63MZZJ7DA7aSjCeV9B1xHc2fzc7pXS89ir2DycgRvrn4M5uhPwsFziWBKqvySmfQMHeCZtqYwUqj9g63WwEebQAL5Y4Mkkgi4cWZKzn8XGdZKiCQciAD7s2LpJMVx582oz7MGQQskHnV81MVvqXxB51mwDe7yJzAUFUNzcV7sga2mwyGVoUgAheewj5jiSA8cHEFc8oSaQ1zNLGZzS8WrxxjaWEHD38d4x2F4w5xp9vPPbZ4zMxZMNCR3f9vJ3QiYkY7rbZBFcZunEB9AMhoYJwEJJbACS2kh3nptteQQ13zACby6PyZanJgv3pJaGDLG8nzsqzoitXbpcqdfjPvUuX9cXuGWEBFF3JbpYAvjFTyHnrxw1VCJw1jwQBKrSa7YuhkXTkmtK32SQKsdedgZf1zon2XZUK1zYW2cnVPfPedFghe6Dr9iBRPfsLzc786f88q34wEaTLmjYKpBRKmbP54uzBBrDbvnHEzZzRD5tZEE8g4e27PK3dc8uyFZ7aHNK72t1uhFD57biUPFBfqWRFNWcmXzpnYbHSf2bavXWEAJoytQhP2QEiUcbJiwzhL811t2poc6Euk77qu5PbohwgMST3fZ8RGt3YTKZ1c9udcLirvZWyvfxYVvFciUZg1MexjCtGwUJcrkMuiZJce7tSC7YsrRMMfVwxvY8yCHPFfXVBTBM89K5dugGf9hq9CNpKYihKoXPmndK6f5HHepqp7anXdw7LhfTH3CB2rJkBnPm5jbGPMGm8UfcSwFfTQEUpGnfJb6e9sPLBG4NMhAXUzvQkX9EqvrwrrvWnaeVmJBF5iXdkmTyXHEgM4RLcZ6xJ4x6o9rjAbWJwsQkMHG3nM9Dz7rRrQELuKbeeXqA4YuFkhJxvJxz8MfHqMaJM6ft2sd8g2kMhLh",
"assets": [
{
"tokenId": "30447d4f8944e029fd5d5ceb63d8891bc7426aed1c3783a68e43a18fa682fe47",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e2102910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b728",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7,20]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1103fec1c50180897a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1618047,1000000,1000000]"
},
"R7": {
"serializedValue": "1a0120f47a6912fc78f2e431096cb6734acb5b977e39f879a9330e75ecbe9a2ba735b4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f47a6912fc78f2e431096cb6734acb5b977e39f879a9330e75ecbe9a2ba735b4]"
},
"R9": {
"serializedValue": "0e9e017b227469746c65223a2254657374205631222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2254657374205631222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d7d"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "118db5289a8bc3c963ca919d81da14cbe4d49c0b836d021f1c3349d0046a3050",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "1b0c424dde758b76bfdf866ebfeba1b93b143e7956172ccbf5e3e25d755ba2ce",
"outputTransactionId": "b447a0200366f12099422a6c2b5ee720be35b202c876a43474b0ab5d8c146e2f",
"outputIndex": 0,
"outputGlobalIndex": 50393504,
"outputCreatedAt": 1618043,
"outputSettledAt": 1618044,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(83,24,-22,60,-69,-94,-32,-45,107,122,55,60,72,-50,10,40,13,-118,107,-23,26,7,58,71,-25,61,-88,-79,-99,-69,17,69)\n2: 0\n3: Coll(0,8,-51)\n4: 0\n5: 1\n6: 0\n7: 3\n8: 0\n9: false\n10: false\n11: 1\n12: 1\n13: 0\n14: 5\n15: 0\n16: false\n17: false\n18: 0\n19: 0\n20: 0\n21: 2\n22: false\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 720\n29: false\n30: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val bool2 = box1.propositionBytes != SELF.propositionBytes\n val coll3 = SELF.R6[Coll[Byte]].get\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = SELF.R4[Coll[Byte]].get\n val coll6 = CONTEXT.dataInputs\n val bool7 = coll6.size > placeholder[Int](2)\n val coll8 = placeholder[Coll[Byte]](3)\n sigmaProp(((if (bool2 && (box1.R4[Int].get == placeholder[Int](4))) {(\n val coll9 = box1.tokens\n if ((((((coll9.size == placeholder[Int](5)) && (coll9(placeholder[Int](6))._1 == coll3)) && box1.R5[(Coll[Byte], Long)].isDefined) && box1.R6[Coll[Byte]].isDefined) && box1.R8[Coll[Long]].isDefined) && (box1.R8[Coll[Long]].get.size == placeholder[Int](7))) { (HEIGHT.toLong >= box1.R8[Coll[Long]].get(placeholder[Int](8))) && OUTPUTS.exists({(box10: Box) => ((((((((blake2b256(box10.propositionBytes) == coll4) && (box10.value == SELF.value)) && (box10.tokens == SELF.tokens)) && (box10.R4[Coll[Byte]].get == coll5)) && (box10.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && (box10.R6[Coll[Byte]].get == coll3)) && (box10.R7[Coll[Byte]].get == SELF.R7[Coll[Byte]].get)) && (box10.R8[Coll[Byte]].get == SELF.R8[Coll[Byte]].get)) && (box10.R9[Coll[Long]].get == SELF.R9[Coll[Long]].get) }) } else { placeholder[Boolean](9) }\n )} else { placeholder[Boolean](10) } || if (bool2 && (box1.R4[Int].get == placeholder[Int](11))) {(\n val coll9 = box1.tokens\n if ((((((((coll9.size == placeholder[Int](12)) && (coll9(placeholder[Int](13))._1 == coll3)) && box1.R5[(Coll[Byte], Coll[Byte])].isDefined) && box1.R6[Coll[Coll[Byte]]].isDefined) && box1.R7[Coll[Long]].isDefined) && (box1.R7[Coll[Long]].get.size == placeholder[Int](14))) && box1.R8[(Coll[Byte], Long)].isDefined) && box1.R9[(Coll[Byte], Coll[Byte])].isDefined) { (SELF.creationInfo._1.toLong < box1.R7[Coll[Long]].get(placeholder[Int](15))) && OUTPUTS.exists({(box10: Box) => ((((((((blake2b256(box10.propositionBytes) == coll4) && (box10.value == SELF.value)) && (box10.tokens == SELF.tokens)) && (box10.R4[Coll[Byte]].get == coll5)) && (box10.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && (box10.R6[Coll[Byte]].get == coll3)) && (box10.R7[Coll[Byte]].get == SELF.R7[Coll[Byte]].get)) && (box10.R8[Coll[Byte]].get == SELF.R8[Coll[Byte]].get)) && (box10.R9[Coll[Long]].get == SELF.R9[Coll[Long]].get) }) } else { placeholder[Boolean](16) }\n )} else { placeholder[Boolean](17) }) || if (bool7) {(\n val box9 = coll6(placeholder[Int](18))\n val coll10 = box9.tokens\n ((((coll10.size > placeholder[Int](19)) && (coll10(placeholder[Int](20))._1 == coll3)) && box9.R6[Coll[Byte]].isDefined) && (box9.R4[Int].get == placeholder[Int](21))) && OUTPUTS.exists({(box11: Box) => (box11.propositionBytes == coll8.append(coll5)) && (box11.value >= SELF.value) })\n )} else { placeholder[Boolean](22) }) || if (bool7) {(\n val box9 = coll6(placeholder[Int](23))\n val coll10 = box9.tokens\n if (((coll10.size > placeholder[Int](24)) && (coll10(placeholder[Int](25))._1 == coll3)) && (box9.R4[Int].get == placeholder[Int](26))) { (HEIGHT.toLong >= box9.R8[Coll[Long]].get(placeholder[Int](27)) + placeholder[Long](28)) && OUTPUTS.exists({(box11: Box) => (box11.propositionBytes == coll8.append(coll5)) && (box11.value >= SELF.value) }) } else { placeholder[Boolean](29) }\n )} else { placeholder[Boolean](30) })\n}",
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"assets": [],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
"renderedValue": "4be5e89882495b0397f2db040e68db9ed4a24fd938e995a957fa40d76ba1ebbb"
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"sigmaType": "Coll[SByte]",
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"R9": {
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"sigmaType": "Coll[SLong]",
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"sigmaType": "Coll[SByte]",
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"index": 2,
"spendingProof": null,
"outputBlockId": "2336a87fa346d9027b637e35b080fa247bf4eb1e0579785e70d5db4ebf17109d",
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"outputGlobalIndex": 50393540,
"outputCreatedAt": 1618045,
"outputSettledAt": 1618046,
"ergoTree": "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",
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val bool2 = box1.propositionBytes != SELF.propositionBytes\n val coll3 = SELF.R6[Coll[Byte]].get\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = SELF.R4[Coll[Byte]].get\n val coll6 = CONTEXT.dataInputs\n val bool7 = coll6.size > placeholder[Int](2)\n val coll8 = placeholder[Coll[Byte]](3)\n sigmaProp(((if (bool2 && (box1.R4[Int].get == placeholder[Int](4))) {(\n val coll9 = box1.tokens\n if ((((((coll9.size == placeholder[Int](5)) && (coll9(placeholder[Int](6))._1 == coll3)) && box1.R5[(Coll[Byte], Long)].isDefined) && box1.R6[Coll[Byte]].isDefined) && box1.R8[Coll[Long]].isDefined) && (box1.R8[Coll[Long]].get.size == placeholder[Int](7))) { (HEIGHT.toLong >= box1.R8[Coll[Long]].get(placeholder[Int](8))) && OUTPUTS.exists({(box10: Box) => ((((((((blake2b256(box10.propositionBytes) == coll4) && (box10.value == SELF.value)) && (box10.tokens == SELF.tokens)) && (box10.R4[Coll[Byte]].get == coll5)) && (box10.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && (box10.R6[Coll[Byte]].get == coll3)) && (box10.R7[Coll[Byte]].get == SELF.R7[Coll[Byte]].get)) && (box10.R8[Coll[Byte]].get == SELF.R8[Coll[Byte]].get)) && (box10.R9[Coll[Long]].get == SELF.R9[Coll[Long]].get) }) } else { placeholder[Boolean](9) }\n )} else { placeholder[Boolean](10) } || if (bool2 && (box1.R4[Int].get == placeholder[Int](11))) {(\n val coll9 = box1.tokens\n if ((((((((coll9.size == placeholder[Int](12)) && (coll9(placeholder[Int](13))._1 == coll3)) && box1.R5[(Coll[Byte], Coll[Byte])].isDefined) && box1.R6[Coll[Coll[Byte]]].isDefined) && box1.R7[Coll[Long]].isDefined) && (box1.R7[Coll[Long]].get.size == placeholder[Int](14))) && box1.R8[(Coll[Byte], Long)].isDefined) && box1.R9[(Coll[Byte], Coll[Byte])].isDefined) { (SELF.creationInfo._1.toLong < box1.R7[Coll[Long]].get(placeholder[Int](15))) && OUTPUTS.exists({(box10: Box) => ((((((((blake2b256(box10.propositionBytes) == coll4) && (box10.value == SELF.value)) && (box10.tokens == SELF.tokens)) && (box10.R4[Coll[Byte]].get == coll5)) && (box10.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && (box10.R6[Coll[Byte]].get == coll3)) && (box10.R7[Coll[Byte]].get == SELF.R7[Coll[Byte]].get)) && (box10.R8[Coll[Byte]].get == SELF.R8[Coll[Byte]].get)) && (box10.R9[Coll[Long]].get == SELF.R9[Coll[Long]].get) }) } else { placeholder[Boolean](16) }\n )} else { placeholder[Boolean](17) }) || if (bool7) {(\n val box9 = coll6(placeholder[Int](18))\n val coll10 = box9.tokens\n ((((coll10.size > placeholder[Int](19)) && (coll10(placeholder[Int](20))._1 == coll3)) && box9.R6[Coll[Byte]].isDefined) && (box9.R4[Int].get == placeholder[Int](21))) && OUTPUTS.exists({(box11: Box) => (box11.propositionBytes == coll8.append(coll5)) && (box11.value >= SELF.value) })\n )} else { placeholder[Boolean](22) }) || if (bool7) {(\n val box9 = coll6(placeholder[Int](23))\n val coll10 = box9.tokens\n if (((coll10.size > placeholder[Int](24)) && (coll10(placeholder[Int](25))._1 == coll3)) && (box9.R4[Int].get == placeholder[Int](26))) { (HEIGHT.toLong >= box9.R8[Coll[Long]].get(placeholder[Int](27)) + placeholder[Long](28)) && OUTPUTS.exists({(box11: Box) => (box11.propositionBytes == coll8.append(coll5)) && (box11.value >= SELF.value) }) } else { placeholder[Boolean](29) }\n )} else { placeholder[Boolean](30) })\n}",
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"assets": [],
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SLong]",
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{
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"index": 3,
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"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
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"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "70d0e8e56699ca4c61488f421d9eda77e77e180b7ec94115a2b325f36d5984d7",
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"decimals": null,
"type": null
},
{
"tokenId": "469632d31f1762c604fb5605f17a6a3acea25dc0c0acd9ed9c99a9657a39ef13",
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"type": null
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 3,
"amount": 61056,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 4,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 5,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "a6b3df8edc3223975b49247b425e69a85cb45f3c7a94668ba89c890f2f0d2194",
"index": 6,
"amount": 10000,
"name": "TEST DEV 50 PERCENT APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 7,
"amount": 96951100,
"name": "CAT",
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"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 8,
"amount": 999899774500,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2293d454406cc0f3b6a7c63db90fc989b4065204d4b101f8fe155d1d65c283ff",
"index": 9,
"amount": 10000,
"name": "TEST FULL WITHDRAW V3 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "50f7276d622ac22873b0c6dfee16146084e894c2ab2aa5631e2f60efb9957f18",
"index": 10,
"amount": 99981000,
"name": "TGD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "950e6f63aab88d72048da7d561efcb1bad568bc7a82fe3cc26ea729619cc3d9f",
"index": 11,
"amount": 7000,
"name": "Test project for 1.2 V1 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
"index": 12,
"amount": 1,
"name": "🚬",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ef0199cb118810aa3b35b5b071d2f417bdc6c27e985bbd425a1f04d31a12a59b",
"index": 13,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "44f3f0b7ebb5369965908aaa586ed811f62c1688e6ae375b7af523cba0027ea6",
"index": 14,
"amount": 37,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "06a8dbd27f857955475e522e5d30d4ba1e3d80fc509506e1bffd7ee498e742e5",
"value": 1000000,
"index": 0,
"outputBlockId": "0dbf97f0a22941b8e3395014ee8ae3dd1d98a159fe69302e4bc210c75df7386f",
"outputTransactionId": "b62b554b90613da4f7f89ccf247341e6099d90299dde0248b7bc232b940e0554",
"outputIndex": 1,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e4033303434376434663839343465303239666435643563656236336438383931626337343236616564316333373833613638653433613138666136383266653437",
"sigmaType": "Coll[SByte]",
"renderedValue": "33303434376434663839343465303239666435643563656236336438383931626337343236616564316333373833613638653433613138666136383266653437"
},
"R6": {
"serializedValue": "3d05018084af5f",
"sigmaType": "(SBoolean, SLong)",
"renderedValue": "[true,100000000]"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0e209b15f2f435215c2017595c837bf30b3c481a5ef5c367e911bb996f2461247700",
"sigmaType": "Coll[SByte]",
"renderedValue": "9b15f2f435215c2017595c837bf30b3c481a5ef5c367e911bb996f2461247700"
},
"R9": {
"serializedValue": "0e046e756c6c",
"sigmaType": "Coll[SByte]",
"renderedValue": "6e756c6c"
},
"R4": {
"serializedValue": "0e208299d98e15ebee7fa39ad716de7c8bb191790a1bf4b7c3f91af35a0e36187706",
"sigmaType": "Coll[SByte]",
"renderedValue": "8299d98e15ebee7fa39ad716de7c8bb191790a1bf4b7c3f91af35a0e36187706"
}
}
}
],
"outputs": [
{
"boxId": "096cf0856868fe025eb8eaf6c8acf1939d95e2a34d9466b607b93a8188a4a343",
"transactionId": "6cb79405f6cfd8acbcd5f6570a77df08674892c5a8f18cc27411b33c5dfec8f6",
"blockId": "c9d1867c6e0b832f60a38079e2e08703b63be83d35cc1dc351ae11bc1e793bfe",
"value": 1000000,
"index": 0,
"globalIndex": 50393647,
"creationHeight": 1618049,
"settlementHeight": 1618050,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(83,24,-22,60,-69,-94,-32,-45,107,122,55,60,72,-50,10,40,13,-118,107,-23,26,7,58,71,-25,61,-88,-79,-99,-69,17,69)\n3: 1\n4: Coll(0,8,-51)\n5: 1\n6: 1\n7: 1\n8: 0\n9: 1\n10: 0\n11: 0\n12: Coll(-118,-56,-38,-73,78,21,-87,46,20,85,-82,34,-67,117,-110,101,-86,20,-59,-33,-80,41,-9,-22,78,15,-5,-66,-68,-101,8,41)\n13: -1\n14: false\n15: true\n16: true\n17: 1\n18: 0\n19: 0\n20: 0\n21: 1\n22: 2\n23: 2\n24: 3\n25: 4\n26: 4\n27: 1\n28: false\n29: false\n30: 0\n31: Coll(47,118,46,-91,-45,7,77,49,21,-3,101,-98,-18,52,34,54,78,-78,106,-125,110,51,90,-38,-17,-46,-34,56,-2,-124,-102,-75)\n32: 0\n33: 0\n34: 2\n35: 1\n36: false\n37: 0\n38: 1\n39: 0\n40: Coll(-10,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-40)\n41: 1\n42: true\n43: false\n44: false\n45: 0\n46: 0\n47: 0\n48: 100\n49: 5\n50: 100\n51: 1000000\n52: 0\n53: 1000000\n54: 0\n55: 0\n56: 1000000\n57: 0\n58: 0\n59: 0\n60: 0\n61: 0\n62: true\n63: 0\n64: SigmaProp(ProveDlog(ECPoint(1bf847,c2be87,...)))\n65: true\n66: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R7[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val bool5 = l2 < l4\n val coll6 = SELF.tokens(placeholder[Int](1))._1\n val tuple7 = SELF.R5[(Coll[Byte], Coll[Byte])].get\n val coll8 = tuple7._2\n val coll9 = placeholder[Coll[Byte]](2)\n val coll10 = tuple7._1\n val coll11 = SELF.R6[Coll[Coll[Byte]]].get\n val l12 = coll3(placeholder[Int](3))\n val tuple13 = SELF.R8[(Coll[Byte], Long)].get\n val l14 = tuple13._2\n val coll15 = placeholder[Coll[Byte]](4)\n sigmaProp(\n (i1 == placeholder[Int](5)) && (\n (if (((bool5 && (INPUTS.size > placeholder[Int](6))) && (OUTPUTS.size > placeholder[Int](7))) && (CONTEXT.dataInputs.size > placeholder[Int](8))) {(\n val box16 = INPUTS(placeholder[Int](9))\n val box17 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll18 = box17.R5[Coll[Byte]].get\n val box19 = OUTPUTS(placeholder[Int](11))\n if (((blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](12)) && (box16.R6[Coll[Byte]].get == coll6)) && (((coll18 == coll8) && (blake2b256(box17.propositionBytes) == coll9)) && (box17.R6[Coll[Byte]].get == coll6))) {(\n val coll20 = box16.R9[Coll[Long]].get\n val tuple21 = (placeholder[Long](13), placeholder[Boolean](14))\n val l22 = coll20.fold(tuple21, {(tuple22: ((Long, Boolean), Long)) =>\n val tuple24 = tuple22._1\n val l25 = tuple22._2\n if (tuple24._2) { tuple24 } else { if (blake2b256(box16.R7[Coll[Byte]].get.append(longToByteArray(l25)).append(box16.R8[Coll[Byte]].get).append(coll10)) == box16.R5[Coll[Byte]].get) { (l25, placeholder[Boolean](15)) } else { tuple24 } }\n })._1\n val l23 = box17.R9[Coll[Long]].get.fold(tuple21, {(tuple23: ((Long, Boolean), Long)) =>\n val tuple25 = tuple23._1\n val l26 = tuple23._2\n if (tuple25._2) { tuple25 } else { if (blake2b256(box17.R7[Coll[Byte]].get.append(longToByteArray(l26)).append(box17.R8[Coll[Byte]].get).append(coll10)) == coll18) { (l26, placeholder[Boolean](16)) } else { tuple25 } }\n })._1\n (((((((((((((box19.propositionBytes == SELF.propositionBytes) && (box19.R4[Int].get == i1)) && (box19.tokens.size == placeholder[Int](17))) && (box19.tokens(placeholder[Int](18))._1 == coll6)) && (box19.R5[(Coll[Byte], Coll[Byte])].get == (coll10, if ((l22 > l23) || ((l22 == l23) && (box16.creationInfo._1 < box17.creationInfo._1))) { box16.R5[Coll[Byte]].get } else { coll8 }))) && (box19.R6[Coll[Coll[Byte]]].get == coll11)) && (box19.R7[Coll[Long]].get(placeholder[Int](19)) == coll3(placeholder[Int](20)))) && (box19.R7[Coll[Long]].get(placeholder[Int](21)) == l12)) && (box19.R7[Coll[Long]].get(placeholder[Int](22)) == coll3(placeholder[Int](23)))) && (box19.R7[Coll[Long]].get(placeholder[Int](24)) == l4)) && (box19.R7[Coll[Long]].get(placeholder[Int](25)) == coll3(placeholder[Int](26)) + placeholder[Long](27))) && (box19.R8[(Coll[Byte], Long)].get._2 == l14)) && (box19.R9[(Coll[Byte], Coll[Byte])].get == SELF.R9[(Coll[Byte], Coll[Byte])].get)) && OUTPUTS.exists({(box24: Box) => (((((((blake2b256(box24.propositionBytes) == coll9) && (box24.value == box16.value)) && (box24.R4[Coll[Byte]].get == box16.R4[Coll[Byte]].get)) && (box24.R5[Coll[Byte]].get == box16.R5[Coll[Byte]].get)) && (box24.R6[Coll[Byte]].get == box16.R6[Coll[Byte]].get)) && (box24.R7[Coll[Byte]].get == box16.R7[Coll[Byte]].get)) && (box24.R8[Coll[Byte]].get == box16.R8[Coll[Byte]].get)) && (box24.R9[Coll[Long]].get == coll20) })\n )} else { placeholder[Boolean](28) }\n )} else { placeholder[Boolean](29) } || if (bool5 && (CONTEXT.dataInputs.size > placeholder[Int](30))) {(\n val coll16 = CONTEXT.dataInputs.filter({(box16: Box) => blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](31) })\n val i17 = coll16.size\n val i18 = coll11.size\n if (if (i17 < if (i18 == placeholder[Int](32)) { placeholder[Int](33) } else { i18 / placeholder[Int](34) + placeholder[Int](35) }) { placeholder[Boolean](36) } else {(\n val coll19 = coll16.map({(box19: Box) => box19.tokens(placeholder[Int](37))._1 })\n coll19.indices.forall({(i20: Int) => !coll19.slice(i20 + placeholder[Int](38), i17).exists({(coll22: Coll[Byte]) => coll22 == coll19(i20) }) }) && coll16.forall({(box20: Box) => (coll11.exists({(coll22: Coll[Byte]) => coll22 == box20.tokens(placeholder[Int](39))._1 }) && (box20.R4[Coll[Byte]].get == placeholder[Coll[Byte]](40))) && (box20.R5[Coll[Byte]].get == coll8) })\n )} && (OUTPUTS.filter({(box19: Box) => box19.propositionBytes == SELF.propositionBytes }).size == placeholder[Int](41))) { placeholder[Boolean](42) } else { placeholder[Boolean](43) }\n )} else { placeholder[Boolean](44) }) || if ((l2 >= l4) && (OUTPUTS.size > placeholder[Int](45))) {(\n val box16 = OUTPUTS(placeholder[Int](46))\n val coll17 = INPUTS.filter({(box17: Box) => blake2b256(box17.propositionBytes) == coll9 })\n val l18 = coll17.fold(placeholder[Long](47), {(tuple18: (Long, Box)) => tuple18._1 + tuple18._2.value })\n val l19 = l18 * l14 / placeholder[Long](48)\n val 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else { placeholder[Boolean](62) }\n ) && if (l28 > placeholder[Long](63)) {\n OUTPUTS.exists({(box29: Box) => (box29.value >= l28) && (box29.propositionBytes == placeholder[SigmaProp](64).propBytes) })\n } else { placeholder[Boolean](65) }\n )} else { placeholder[Boolean](66) }\n )\n )\n}",
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