Transaction
ID: 7b03e05fe0...5da9
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
1.03 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001080051 ERG
Tokens:
2,615.83
Outputs (9)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.928742965 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
944.27
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Transaction Details
Confirmations: 591,061
Total coins transferred: 1.03 ERG
Fees: 0.005 ERG
Fees per byte: 0.000000634 ERG
Raw Transaction Data
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{
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],
"dataInputs": [
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}
],
"outputs": [
{
"boxId": "097a6dd27e0d2b43542ff2bbb44d36fbcfd67a5b393842ab23104ed342ecb7ae",
"transactionId": "7b03e05fe060e87d688bb700dd9874b3b0ad4613de46ffbce1a702bed5fc5da9",
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"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
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"assets": [
{
"tokenId": "e8eb88a83161c7a6dd8863f37be6fc41af022c3d81b6a30d79aa89cefae37a72",
"index": 0,
"amount": 1,
"name": "No.97 | 1/1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59d2a7c5e09c63c0fa8bbad363",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1704666376681,1712008036000]"
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"R6": {
"serializedValue": "110380a0b787e90580d0dbc3f40280a094a58d1d",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,50000000000,500000000000]"
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"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c"
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"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c"
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"spentTransactionId": "0633ffc41abb26e48be310ac09a26056a39016a1a4f8ffecd266e52d15e3c357",
"mainChain": true
},
{
"boxId": "cffca18c3527c797addc8833e43ffede7302c82186e457208c530958adc99b38",
"transactionId": "7b03e05fe060e87d688bb700dd9874b3b0ad4613de46ffbce1a702bed5fc5da9",
"blockId": "885bff56232b37e7d8d54e7d1d17e0ede8b316fba237d5af15d83eff29170c67",
"value": 15000000,
"index": 1,
"globalIndex": 35888822,
"creationHeight": 1173162,
"settlementHeight": 1173164,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
"address": "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",
"assets": [
{
"tokenId": "6b572305dfd980721a4a718f09a3caba2f58c158b11227cf9403bd254f93bffe",
"index": 0,
"amount": 1,
"name": "No.91 | 1/1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59d2a7c5e09c63809adcbceb63",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1704666376681,1715232016000]"
},
"R6": {
"serializedValue": "110380a0b787e90580d0dbc3f40280a094a58d1d",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,50000000000,500000000000]"
},
"R8": {
"serializedValue": "0e240008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c"
}
},
"spentTransactionId": "c979a0774a5782c14ea7ba783e938b7efa1b6185be434871aabbaaf76bd67fc3",
"mainChain": true
},
{
"boxId": "952ac633d4c599401a4286d434015a248ec6d613057c8c64adfc15839be147cc",
"transactionId": "7b03e05fe060e87d688bb700dd9874b3b0ad4613de46ffbce1a702bed5fc5da9",
"blockId": "885bff56232b37e7d8d54e7d1d17e0ede8b316fba237d5af15d83eff29170c67",
"value": 15000000,
"index": 2,
"globalIndex": 35888823,
"creationHeight": 1173162,
"settlementHeight": 1173164,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
"address": "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",
"assets": [
{
"tokenId": "f08040c533c0973e85296edc0fe4de579a17b0f24b595e30f75d1819f47517f7",
"index": 0,
"amount": 1,
"name": "No.89 | 1/1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59d2a7c5e09c63809bde898564",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1704666376681,1718668216000]"
},
"R6": {
"serializedValue": "110380a0b787e90580d0dbc3f40280a094a58d1d",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,50000000000,500000000000]"
},
"R8": {
"serializedValue": "0e240008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c"
}
},
"spentTransactionId": "51502e1e8e6de4cd8e2650ff5e4450cc0eabdb85bae1203b5fa8e67fdc3dc0d8",
"mainChain": true
},
{
"boxId": "27e487f6905198559b572d5eb91b3d1f2b1d165ce5310c2dc9c9d4cbc42535ae",
"transactionId": "7b03e05fe060e87d688bb700dd9874b3b0ad4613de46ffbce1a702bed5fc5da9",
"blockId": "885bff56232b37e7d8d54e7d1d17e0ede8b316fba237d5af15d83eff29170c67",
"value": 15000000,
"index": 3,
"globalIndex": 35888824,
"creationHeight": 1173162,
"settlementHeight": 1173164,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
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"assets": [
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"index": 0,
"amount": 1,
"name": "No.86 | 1/1",
"decimals": 0,
"type": "EIP-004"
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],
"additionalRegisters": {
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[1704666376681,1720489996000]"
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"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,50000000000,500000000000]"
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"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c"
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"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c"
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"spentTransactionId": "784d770588173386d02f8abd6f63eafa9e102f3baafcb874da4290b6d75dcdf4",
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{
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"transactionId": "7b03e05fe060e87d688bb700dd9874b3b0ad4613de46ffbce1a702bed5fc5da9",
"blockId": "885bff56232b37e7d8d54e7d1d17e0ede8b316fba237d5af15d83eff29170c67",
"value": 15000000,
"index": 4,
"globalIndex": 35888825,
"creationHeight": 1173162,
"settlementHeight": 1173164,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "No.79 | 1/1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59d2a7c5e09c63809af0a2a964",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1704666376681,1723526416000]"
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"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,50000000000,500000000000]"
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"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c"
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"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
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"R4": {
"serializedValue": "0e240008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd027638904e1a6311287a6ed06700d9cd8977110036496b8cebd1d432b59025e58c"
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"spentTransactionId": "583a7213abf3ef8fd6b218c7f4aa7ed85e59f0e0537e1d81744670d9d16ef179",
"mainChain": true
},
{
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"transactionId": "7b03e05fe060e87d688bb700dd9874b3b0ad4613de46ffbce1a702bed5fc5da9",
"blockId": "885bff56232b37e7d8d54e7d1d17e0ede8b316fba237d5af15d83eff29170c67",
"value": 15000000,
"index": 5,
"globalIndex": 35888826,
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"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "1137979109ae309d67c1c3a2467b25b54ba83823db9be329af024b6018d013c8",
"mainChain": true
}
],
"size": 7882,
"isUnconfirmed": false
}