Transaction
ID: feea67e639...66dc
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
32.14 ERG
Tokens:
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Outputs (13)
Spent
Address:
Spent in transaction:
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Value:
0.015 ERG
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Spent
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Spent in transaction:
Settlement height:
Value:
0.015 ERG
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Spent
Address:
Spent in transaction:
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Value:
0.015 ERG
Tokens:
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Spent
Address:
Spent in transaction:
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Value:
0.015 ERG
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Spent
Address:
Spent in transaction:
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Value:
0.015 ERG
Tokens:
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Spent
Address:
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Value:
0.015 ERG
Tokens:
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Spent
Address:
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Value:
0.015 ERG
Tokens:
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Spent
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Value:
0.015 ERG
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Spent
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Value:
0.015 ERG
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Spent
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Value:
0.015 ERG
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Spent
Address:
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Value:
30.48 ERG
Tokens:
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Spent
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Value:
1.5 ERG
Spent
Address:
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Settlement height:
Value:
0.005 ERG
Transaction Details
Confirmations: 514,137
Total coins transferred: 32.14 ERG
Fees: 0.005 ERG
Fees per byte: 0.000000681 ERG
Raw Transaction Data
{
"id": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"inclusionHeight": 1253068,
"timestamp": 1714340072792,
"index": 2,
"globalIndex": 7109026,
"numConfirmations": 514137,
"inputs": [
{
"boxId": "98bdad56096a29b5bde038a956ceccbcf8899a58b353855c1bb448ab6a01bf22",
"value": 32138100000,
"index": 0,
"spendingProof": "4f4838c15b94dbc1c9be5a663f3c7cdb3e94fcde0f5fcf9f8f03a7f04970d97db70da0e9def13c6d0e643e0b5a48542c3885cbc30e3c75c9",
"outputBlockId": "ca38e493c6905e73bd0f8d5a8dbc9cc8a85ac053ddb2ad38512ed04f41102578",
"outputTransactionId": "d5a1ffa60027359e49229fa8c1443b021cd11174ea88bb6b1a05eab3e8d2c179",
"outputIndex": 2,
"outputGlobalIndex": 39654111,
"outputCreatedAt": 1253063,
"outputSettledAt": 1253065,
"ergoTree": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d67bd6,8915d8,...)))}",
"address": "9i6GPcdgbHUwi4sqv6htSrY2xxfYrNGJegBRzxdpjvGqEvNP8gf",
"assets": [
{
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"type": "EIP-004"
},
{
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},
{
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},
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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},
{
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{
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{
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{
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{
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{
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"type": "EIP-004"
},
{
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"name": "Flickerflame Forge",
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},
{
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},
{
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{
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{
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},
{
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{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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"name": "Violet Enchantress",
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},
{
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"index": 38,
"amount": 1,
"name": "Black Market",
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"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": {
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"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": "f23d412db7ccd42b0448fb70cb4cf73c2ff60cbcdb79f302d217adaf22445dbf",
"transactionId": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"value": 15000000,
"index": 0,
"globalIndex": 39654203,
"creationHeight": 1253066,
"settlementHeight": 1253068,
"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": "424afeea62860b150cba4d96fbf4943cecf1cd7d694f901276f9be17a6c3b8b5",
"index": 0,
"amount": 1,
"name": "Gizmo & Gidget",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f"
},
"R5": {
"serializedValue": "59d6e2c9eae463d6d3e4aae963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714340575403,1714944775403]"
},
"R6": {
"serializedValue": "110380bcc1960b0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "8ecffc3a961e70ade0be66c25645a2b5b541f829a9124513415f4b517eeb4ab5",
"mainChain": true
},
{
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"transactionId": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"value": 15000000,
"index": 1,
"globalIndex": 39654204,
"creationHeight": 1253066,
"settlementHeight": 1253068,
"ergoTree": "1016040004000404040204040400040204000406040004060504040004d00f05d00f05d00f040004000400010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed814d601e4c6a7040ed602db6903db6503fed603e4c6a70559d6048c720301d605b2db6501fe730000d606e4c672050404d607e4c6a70611d60899b272077301009c9d9972027204b27207730200b27207730300d609b2a5730401a7d60adb63087209d60b830002d60cc17209d60d8602720b720cd60eb2720a730501720dd60fe4c6a7070ed610b2a5730601a7d611db63087210d612c17210d6138602720b7212d614b272117307017213ea02eb02cdeeb472017308b17201d1959172027204959172028c720302d801d615b2a57309009683040193b1a5730a93db63087215db6308a792c1721599c1a79c730be4c67205060593c272157201d80bd6157209d616720ad617720bd618720cd619720dd61a720ed61b7210d61c7211d61d7212d61e7213d61f72149683040193c5b2a4730c00c5a7eded93c272157201928c721a029d9c72087e99730d720605730e938c721a01720feded93c2721be4c67205050e928c721f029d9c72087e720605730f938c721f01720f93b2db6308a7731000b2db6308b2a5731101a77312007313d1938cb2db63087205731400017315",
"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": "b59bf9c1f6fff466a153fa99fd53fe609fa25ed06035a1e0fa08f6eede425420",
"index": 0,
"amount": 1,
"name": "Data Diver",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f"
},
"R5": {
"serializedValue": "59d6e2c9eae463d6d3e4aae963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714340575403,1714944775403]"
},
"R6": {
"serializedValue": "110380bcc1960b0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "cc400adb6e8bb61c8b712726cbf8a6d899171100a7fc04db9091dbde4616f786",
"mainChain": true
},
{
"boxId": "b2537ce19a9d4147bcd537ed2b35e3e178c7be1a874abab9b851bcc85501e015",
"transactionId": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"value": 15000000,
"index": 2,
"globalIndex": 39654205,
"creationHeight": 1253066,
"settlementHeight": 1253068,
"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": "07060db260d000e711d491945daf6a57b6b350736bdadb8426f4ce68441d2d9f",
"index": 0,
"amount": 1,
"name": "Byteburner",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f"
},
"R5": {
"serializedValue": "59d6e2c9eae463d6d3e4aae963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714340575403,1714944775403]"
},
"R6": {
"serializedValue": "110380bcc1960b0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "90ce42a101173e65f1dd0794432eff2996e038ffa851b970fb5fc6e3bf82c750",
"mainChain": true
},
{
"boxId": "a0346837313278aff65c2a4c11b5d38d7e5f7b0418aeb455d7f32410b96c7afd",
"transactionId": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"value": 15000000,
"index": 3,
"globalIndex": 39654206,
"creationHeight": 1253066,
"settlementHeight": 1253068,
"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": "71ba0cd92fb92b9203e154b00731d8fe678d8e792a9f9598d489d6a5a6f79b33",
"index": 0,
"amount": 1,
"name": "Gnome Tech",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f"
},
"R5": {
"serializedValue": "59d6e2c9eae463d6d3e4aae963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714340575403,1714944775403]"
},
"R6": {
"serializedValue": "110380bcc1960b0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "43272559a16ed52d37599d640f2862234d3c5ecea7c3c731ab8a2356aa6384a7",
"mainChain": true
},
{
"boxId": "5ef97fe4fe929842fef1690446d3e79156027e54a0979efc02d23e9d029313a0",
"transactionId": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"value": 15000000,
"index": 4,
"globalIndex": 39654207,
"creationHeight": 1253066,
"settlementHeight": 1253068,
"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": "85918c45d5317972a0b138891250c52eb0b44ff4240471aafcfa55ea1a904ac0",
"index": 0,
"amount": 1,
"name": "Cortex Crawler",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f"
},
"R5": {
"serializedValue": "59d6e2c9eae463d6d3e4aae963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714340575403,1714944775403]"
},
"R6": {
"serializedValue": "110380bcc1960b0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "3e276dc311f98cffeb00a5646ae7dd29fbce7f7ed43623e5ec1f69537cca75ff",
"mainChain": true
},
{
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"transactionId": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"value": 15000000,
"index": 5,
"globalIndex": 39654208,
"creationHeight": 1253066,
"settlementHeight": 1253068,
"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": "78f0d473e4fed32c4fdf016400168e9e5d7227ef620774352a721536d47105cd",
"index": 0,
"amount": 1,
"name": "Ironweaver",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f"
},
"R5": {
"serializedValue": "59d6e2c9eae463d6d3e4aae963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714340575403,1714944775403]"
},
"R6": {
"serializedValue": "110380bcc1960b0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "a964226c657a29be2bdc22a947f1591c9eff426856966df03a83d8f7ad4dd263",
"mainChain": true
},
{
"boxId": "0a78289c511794072787848219f8e7bf86f0ec8adfd1ab9b2ae78c69bad4ed40",
"transactionId": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"value": 15000000,
"index": 6,
"globalIndex": 39654209,
"creationHeight": 1253066,
"settlementHeight": 1253068,
"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": "24b33a24b0d3470e5801b8a28a4db4b6a5ee5c3c36d05af2a4cd4753990e3429",
"index": 0,
"amount": 1,
"name": "Flutterkin",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f"
},
"R5": {
"serializedValue": "59d6e2c9eae463d6d3e4aae963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714340575403,1714944775403]"
},
"R6": {
"serializedValue": "110380bcc1960b0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "f819afdc284da5ccdb15392efba82854b8f39b07db36a7aa193db05d4b86928f",
"mainChain": true
},
{
"boxId": "f0c0cf07674a570f56e9c3dfe9bf4be0697641b0beae020ebdfb048bcbc83040",
"transactionId": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"value": 15000000,
"index": 7,
"globalIndex": 39654210,
"creationHeight": 1253066,
"settlementHeight": 1253068,
"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": "761d7265bbe1d102358084d18e3d2f42f08840d2b0da9a7395a2750321179713",
"index": 0,
"amount": 1,
"name": "Merfolk",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f"
},
"R5": {
"serializedValue": "59d6e2c9eae463d6d3e4aae963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714340575403,1714944775403]"
},
"R6": {
"serializedValue": "110380bcc1960b0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "12aa9fe65c88b98af37f609c848dd43fbaa897f4ca4625b318e2b5efde344057",
"mainChain": true
},
{
"boxId": "580e99e5cedc7d84592749d9f128450a1add8409ada8282fadfecb10c885885f",
"transactionId": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"value": 15000000,
"index": 8,
"globalIndex": 39654211,
"creationHeight": 1253066,
"settlementHeight": 1253068,
"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": "9c29572725c690c863f15e6aa06d0b187c91519e76e1065f0d1eeebb1dc4958c",
"index": 0,
"amount": 1,
"name": "Sobek",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f"
},
"R5": {
"serializedValue": "59d6e2c9eae463d6d3e4aae963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714340575403,1714944775403]"
},
"R6": {
"serializedValue": "110380bcc1960b0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "3d9dbcc722eced748217627153a2c31701f2135824502e4e73f63b801cce1142",
"mainChain": true
},
{
"boxId": "b051abf38a30f3b6707549b7ccbdbf111c9f3c9f38e531b9a13a4beeaf7aa21b",
"transactionId": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"value": 15000000,
"index": 9,
"globalIndex": 39654212,
"creationHeight": 1253066,
"settlementHeight": 1253068,
"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": "4f3da613985374c7926503f5ed0e32b8996b8bcb4ca3d69d29b7126d18562683",
"index": 0,
"amount": 1,
"name": "Chucklenaught",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f"
},
"R5": {
"serializedValue": "59d6e2c9eae463d6d3e4aae963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714340575403,1714944775403]"
},
"R6": {
"serializedValue": "110380bcc1960b0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "7709d4881f3d41c8b2921b484986ed477023f5d41de4776120eeec09263e8703",
"mainChain": true
},
{
"boxId": "3cfe0e763a80605ea357b7e9f01229ea39d1a0671ee94757875d8bd4248b0b0f",
"transactionId": "feea67e6390b92170ee534c7a227dac8c177ee4cc20401ef470775a9ed2566dc",
"blockId": "d343cad3289be09226e0a062a85e7ece3f57b06f92fa09150c19ffeedaf391e5",
"value": 30483100000,
"index": 10,
"globalIndex": 39654213,
"creationHeight": 1253066,
"settlementHeight": 1253068,
"ergoTree": "0008cd03d67bd66a400a6bc5ec48eea30bf378974b50624f2ae5262d456225f6a3260b3f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d67bd6,8915d8,...)))}",
"address": "9i6GPcdgbHUwi4sqv6htSrY2xxfYrNGJegBRzxdpjvGqEvNP8gf",
"assets": [
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