Transaction
ID: d6950fe6a8...5de7
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
150.76 ERG
Tokens:
Loading assets...
Outputs (7)
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:
150.09 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.6 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Transaction Details
Confirmations: 513,740
Total coins transferred: 150.76 ERG
Fees: 0.005 ERG
Fees per byte: 0.000000934 ERG
Raw Transaction Data
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"index": 74,
"amount": 1,
"name": "Chained Royalty",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3cb168ac66ccdd1afe276bf589a78496cbd12c516ce0c007ad01c9343cdc9017",
"index": 75,
"amount": 1,
"name": "Fallen Queen Lia",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4e1b41fdc12896f464e8763728a75eaff78f022a503054f2786536b39e9e763d",
"index": 76,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "147c908cd78c34fea6c3eded2b29d4be8be6a00cb065f3a1bd4eba96caebf85e",
"index": 77,
"amount": 1,
"name": "Blitz TCG Rare Pack 1st Ed Base",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "467d07ff5ec5a66fdca144a1fb23bea40836d0319749a1ad5d11cc5923058f36",
"index": 78,
"amount": 1,
"name": "Nile Knight",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ef802b475c06189fdbf844153cdc1d449a5ba87cce13d11bb47b5a539f27f12b",
"index": 79,
"amount": 2,
"name": "WT_ERG",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "dc5baed8d08ae04cc52d24d6947963d70ed36721da7480180a16bcbf30882908",
"value": 3219364,
"index": 0,
"outputBlockId": "0926ca09654a5cc52df11736853080d7f207e81e4f447657c7c26f2c2023f2b2",
"outputTransactionId": "a3c9f6e7ba3ef05707139ee011a82bd134591edff86f40ef6e2313e1c9c280ca",
"outputIndex": 0,
"ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
"address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
},
"R6": {
"serializedValue": "0580dac409",
"sigmaType": "SLong",
"renderedValue": "10000000"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "110280dddb0180fca402",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1800000,2400000]"
},
"R4": {
"serializedValue": "043c",
"sigmaType": "SInt",
"renderedValue": "30"
}
}
}
],
"outputs": [
{
"boxId": "fad8eada24d06d615ab16c1d2e9e65142b5fff8a562ecc6a06bf56454b9137b1",
"transactionId": "d6950fe6a8556e851b12dee0ee8ba96f8a1b124d3fd727193a31d84fd2bb5de7",
"blockId": "7148f8f658381dd51b6c961f6aaae9f24bc6a54b0ecf16410a1da0b4f28939d8",
"value": 15000000,
"index": 0,
"globalIndex": 39662720,
"creationHeight": 1253260,
"settlementHeight": 1253262,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "622c94a7eb9b9a9796646bfa32912fe30db01a3c9be1bb83f69410e1f1b757c5",
"index": 0,
"amount": 1,
"name": "Prometheus",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
},
"R5": {
"serializedValue": "59bce89580e563bcd9b0c0e963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714363218462,1714967418462]"
},
"R6": {
"serializedValue": "110380d0acf30e0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "8d742b6e23a4d56c126ce3da30daf36cfe7391d4be65535a18b68468a7ca611d",
"mainChain": true
},
{
"boxId": "747c8d1fef7e4f37bfd59276c7c3f3baa9769a42244d3af5177d42963a6abe79",
"transactionId": "d6950fe6a8556e851b12dee0ee8ba96f8a1b124d3fd727193a31d84fd2bb5de7",
"blockId": "7148f8f658381dd51b6c961f6aaae9f24bc6a54b0ecf16410a1da0b4f28939d8",
"value": 15000000,
"index": 1,
"globalIndex": 39662721,
"creationHeight": 1253260,
"settlementHeight": 1253262,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "b61feabc81c642aef2ca0c94418fd3e0af2ebf4967d526e17d2d47767fcd08f0",
"index": 0,
"amount": 1,
"name": "Assault of Megiddo",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
},
"R5": {
"serializedValue": "59f0d29880e563f0c3b3c0e963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714363241656,1714967441656]"
},
"R6": {
"serializedValue": "110380d0acf30e0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "5ff972a9f59e8689b6b76fa4e858f5b9c05c2100cb22199748e374032549ad34",
"mainChain": true
},
{
"boxId": "a6aa589781723c9321c5044ef31bb8f75fdba313627e3a69a3662f1759d943dd",
"transactionId": "d6950fe6a8556e851b12dee0ee8ba96f8a1b124d3fd727193a31d84fd2bb5de7",
"blockId": "7148f8f658381dd51b6c961f6aaae9f24bc6a54b0ecf16410a1da0b4f28939d8",
"value": 15000000,
"index": 2,
"globalIndex": 39662722,
"creationHeight": 1253260,
"settlementHeight": 1253262,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Maharaja",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
},
"R5": {
"serializedValue": "59a2f89a80e563a2e9b5c0e963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714363260433,1714967460433]"
},
"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[2000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "d21c0754d9ae34981eec731be5b53b29c7078285e3d3f01060682b5cfb7a4e69",
"mainChain": true
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{
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"transactionId": "d6950fe6a8556e851b12dee0ee8ba96f8a1b124d3fd727193a31d84fd2bb5de7",
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"value": 15000000,
"index": 3,
"globalIndex": 39662723,
"creationHeight": 1253260,
"settlementHeight": 1253262,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
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"additionalRegisters": {
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"R5": {
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714363241656,1714967441656]"
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"R6": {
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"sigmaType": "Coll[SLong]",
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},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "2f1fe42f60cb48dc745568dc8b033b7e048da4a775ae768aea6ecdc8d220e1ac",
"mainChain": true
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{
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"globalIndex": 39662724,
"creationHeight": 1253260,
"settlementHeight": 1253262,
"ergoTree": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fcce43,4fd74a,...)))}",
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