Transaction
ID: 5cc37727ae...6cee
Inputs (41)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
16,666.68
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
6,732
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
103.68
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
2,600
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
23.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
554.68
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
34.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,604.68
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
9,476
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
7,335
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
6,758
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
36,555.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
11,110
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
22,204.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
826
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
377.68
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
10,896.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
8,325.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
5,550
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
8,933.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,743.68
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
123.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
132.68
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
72,444.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
221,633.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
141,414
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,267.68
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
3,300.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,360
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
111
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
222,198.68
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
27,287.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
9,555.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
200,555.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
222,187.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,095
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
9,708.34
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
44,416.68
Spent
Address:
Output transaction:
Settlement height:
Value:
92.96 ERG
Tokens:
Loading assets...
Outputs (45)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
16,666.68
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
6,732
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
2,600
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
17.51
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
6
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
554.68
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
34.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,604.68
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
9,476
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
7,335
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
6,758
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
36,555.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
11,110
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
22,204.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
826
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
377.68
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
10,896.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
8,325.34
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
8,933.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,743.68
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
123.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
132.68
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
72,444.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
166,225.01
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
55,408.33
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
121,212
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
20,202
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,267.68
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
3,300.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,360
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
111
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
222,198.68
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
27,287.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
9,555.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
200,555.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
222,187.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,095
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
9,708.34
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
44,416.68
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0166 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
92.94 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 1,049,798
Total coins transferred: 93 ERG
Fees: 0.0166 ERG
Fees per byte: 0.000002869 ERG
Raw Transaction Data
{
"id": "5cc37727ae461bc36045a5d6cc3d12b0ac4ecf5935b7ee940716237f25fb6cee",
"blockId": "5712daf265b1eac22f12d130e522f7c3d1418acc75f0ade1bac76a36356b41ae",
"inclusionHeight": 716478,
"timestamp": 1648496927082,
"index": 5,
"globalIndex": 2891081,
"numConfirmations": 1049798,
"inputs": [
{
"boxId": "1da645e6aff452b9f0d386e9d399d952cae86e9b4de07b2f9d5a585245db85d5",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0aabbeda6c8e27b7a2c0871dd6e66ff6521d007f156366ec8834f49faf2db589",
"outputTransactionId": "35e531311f929694858401e0204e18f49c1904f12524b6e56cd16d428cc2f333",
"outputIndex": 2,
"outputGlobalIndex": 13668427,
"outputCreatedAt": 694685,
"outputSettledAt": 694687,
"ergoTree": "10070400040204000500040004000400d80bd601e4c6a7040ed602b2db6308a7730000d6038c720201d604e4c6a70805d605e4c6a70705d606e4c6a70505d607e4c6a70605d6089c9d99db6903db6503fe720572067207d6098c720202d60a9972047209d60b958f99720472087207997204720a997208720ad1ed93b0b5a5d9010c63ededed93c2720c720193e4c6720c040ee4c6a7090e93b1db6308720c7301938cb2db6308720c7302000172037303d9010c41639a8c720c018cb2db63088c720c0273040002720bec937209720baea5d9010c63ededededededededed93c1720cc1a793c2720cc2a7938cb2db6308720c730500017203938cb2db6308720c73060002997209720b93e4c6720c040e720193e4c6720c0505720693e4c6720c0605720793e4c6720c0705720593e4c6720c0805720493e4c6720c090ee4c6a7090e",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val tuple2 = SELF.tokens(placeholder[Int](0))\n val coll3 = tuple2._1\n val l4 = SELF.R8[Long].get\n val l5 = SELF.R7[Long].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R6[Long].get\n val l8 = CONTEXT.preHeader.timestamp - l5 / l6 * l7\n val l9 = tuple2._2\n val l10 = l4 - l9\n val l11 = if (l4 - l8 < l7) { l4 - l10 } else { l8 - l10 }\n sigmaProp(\n (\n OUTPUTS.filter(\n {(box12: Box) =>\n (((box12.propositionBytes == coll1) && (box12.R4[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)) && (box12.tokens.size == placeholder[Int](1))) && (\n box12.tokens(placeholder[Int](2))._1 == coll3\n )\n }\n ).fold(placeholder[Long](3), {(tuple12: (Long, Box)) => tuple12._1 + tuple12._2.tokens(placeholder[Int](4))._2 }) == l11\n ) && (\n (l9 == l11) || OUTPUTS.exists(\n {(box12: Box) =>\n (\n (\n (\n (\n (\n (\n (\n ((box12.value == SELF.value) && (box12.propositionBytes == SELF.propositionBytes)) && (box12.tokens(placeholder[Int](5))._1 == coll3)\n ) && (box12.tokens(placeholder[Int](6))._2 == l9 - l11)\n ) && (box12.R4[Coll[Byte]].get == coll1)\n ) && (box12.R5[Long].get == l6)\n ) && (box12.R6[Long].get == l7)\n ) && (box12.R7[Long].get == l5)\n ) && (box12.R8[Long].get == l4)\n ) && (box12.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)\n }\n )\n )\n )\n}",
"address": "Y2JDKcXN5zrz3NxpJqhGcJzgPRqQcmMhLqsX3TkkqMxQKK86Sh3hAZUuUweRZ97SLuCYLiB2duoEpYY2Zim3j5aJrDQcsvwyLG2ixLLzgMaWfBhTqxSbv1VgQQkVMKrA4Cx6AiyWJdeXSJA6UMmkGcxNCANbCw7dmrDS6KbnraTAJh6Qj6s9r56pWMeTXKWFxDQSnmB4oZ1o1y6eqyPgamRsoNuEjFBJtkTWKqYoF8FsvquvbzssZMpF6FhA1fkiH3n8oKpxARWRLjx2QwsL6W5hyydZ8VFK3SqYswFvRnCme5Ywi4GvhHeeukW4w1mhVx6sbAaJihWLHvsybRXLWToUXcqXfqYAGyVRJzD1rCeNa8kUb7KHRbzgynHCZR68Khi3G7urSunB9RPTp1EduL264YV5pmRLtoNnH9mf2hAkkmqwydi9LoULxrwsRvp",
"assets": [
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 0,
"amount": 1666668,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0580e4a0ca13",
"sigmaType": "SLong",
"renderedValue": "2628000000"
},
"R6": {
"serializedValue": "05d4b9cb01",
"sigmaType": "SLong",
"renderedValue": "1666666"
},
"R8": {
"serializedValue": "0580ade204",
"sigmaType": "SLong",
"renderedValue": "5000000"
},
"R7": {
"serializedValue": "0580bee0b8bf5f",
"sigmaType": "SLong",
"renderedValue": "1640602800000"
},
"R9": {
"serializedValue": "0e10ae4ee681a17543deabe050e7f5f813ac",
"sigmaType": "Coll[SByte]",
"renderedValue": "ae4ee681a17543deabe050e7f5f813ac"
},
"R4": {
"serializedValue": "0e240008cd036196dbc41c3cbf77660081b7db95e2dc85f31a72bedc030bb3800fdd6b371bde",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036196dbc41c3cbf77660081b7db95e2dc85f31a72bedc030bb3800fdd6b371bde"
}
}
},
{
"boxId": "9017bd0be0787eac3393d1ef32f0b3934f5e062d635100db6b590165cc53a085",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "0aabbeda6c8e27b7a2c0871dd6e66ff6521d007f156366ec8834f49faf2db589",
"outputTransactionId": "35e531311f929694858401e0204e18f49c1904f12524b6e56cd16d428cc2f333",
"outputIndex": 0,
"outputGlobalIndex": 13668425,
"outputCreatedAt": 694685,
"outputSettledAt": 694687,
"ergoTree": "10070400040204000500040004000400d80bd601e4c6a7040ed602b2db6308a7730000d6038c720201d604e4c6a70805d605e4c6a70705d606e4c6a70505d607e4c6a70605d6089c9d99db6903db6503fe720572067207d6098c720202d60a9972047209d60b958f99720472087207997204720a997208720ad1ed93b0b5a5d9010c63ededed93c2720c720193e4c6720c040ee4c6a7090e93b1db6308720c7301938cb2db6308720c7302000172037303d9010c41639a8c720c018cb2db63088c720c0273040002720bec937209720baea5d9010c63ededededededededed93c1720cc1a793c2720cc2a7938cb2db6308720c730500017203938cb2db6308720c73060002997209720b93e4c6720c040e720193e4c6720c0505720693e4c6720c0605720793e4c6720c0705720593e4c6720c0805720493e4c6720c090ee4c6a7090e",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val tuple2 = SELF.tokens(placeholder[Int](0))\n val coll3 = tuple2._1\n val l4 = SELF.R8[Long].get\n val l5 = SELF.R7[Long].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R6[Long].get\n val l8 = CONTEXT.preHeader.timestamp - l5 / l6 * l7\n val l9 = tuple2._2\n val l10 = l4 - l9\n val l11 = if (l4 - l8 < l7) { l4 - l10 } else { l8 - l10 }\n sigmaProp(\n (\n OUTPUTS.filter(\n {(box12: Box) =>\n (((box12.propositionBytes == coll1) && (box12.R4[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)) && (box12.tokens.size == placeholder[Int](1))) && (\n box12.tokens(placeholder[Int](2))._1 == coll3\n )\n }\n ).fold(placeholder[Long](3), {(tuple12: (Long, Box)) => tuple12._1 + tuple12._2.tokens(placeholder[Int](4))._2 }) == l11\n ) && (\n (l9 == l11) || OUTPUTS.exists(\n {(box12: Box) =>\n (\n (\n (\n (\n (\n (\n (\n ((box12.value == SELF.value) && (box12.propositionBytes == SELF.propositionBytes)) && (box12.tokens(placeholder[Int](5))._1 == coll3)\n ) && (box12.tokens(placeholder[Int](6))._2 == l9 - l11)\n ) && (box12.R4[Coll[Byte]].get == coll1)\n ) && (box12.R5[Long].get == l6)\n ) && (box12.R6[Long].get == l7)\n ) && (box12.R7[Long].get == l5)\n ) && (box12.R8[Long].get == l4)\n ) && (box12.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)\n }\n )\n )\n )\n}",
"address": "Y2JDKcXN5zrz3NxpJqhGcJzgPRqQcmMhLqsX3TkkqMxQKK86Sh3hAZUuUweRZ97SLuCYLiB2duoEpYY2Zim3j5aJrDQcsvwyLG2ixLLzgMaWfBhTqxSbv1VgQQkVMKrA4Cx6AiyWJdeXSJA6UMmkGcxNCANbCw7dmrDS6KbnraTAJh6Qj6s9r56pWMeTXKWFxDQSnmB4oZ1o1y6eqyPgamRsoNuEjFBJtkTWKqYoF8FsvquvbzssZMpF6FhA1fkiH3n8oKpxARWRLjx2QwsL6W5hyydZ8VFK3SqYswFvRnCme5Ywi4GvhHeeukW4w1mhVx6sbAaJihWLHvsybRXLWToUXcqXfqYAGyVRJzD1rCeNa8kUb7KHRbzgynHCZR68Khi3G7urSunB9RPTp1EduL264YV5pmRLtoNnH9mf2hAkkmqwydi9LoULxrwsRvp",
"assets": [
{
"tokenId": "d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de413",
"index": 0,
"amount": 673200,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0580e4a0ca13",
"sigmaType": "SLong",
"renderedValue": "2628000000"
},
"R6": {
"serializedValue": "05e09652",
"sigmaType": "SLong",
"renderedValue": "673200"
},
"R8": {
"serializedValue": "05a0c4f601",
"sigmaType": "SLong",
"renderedValue": "2019600"
},
"R7": {
"serializedValue": "0580bee0b8bf5f",
"sigmaType": "SLong",
"renderedValue": "1640602800000"
},
"R9": {
"serializedValue": "0e10083349bcb7a84b64926a10080d3cc671",
"sigmaType": "Coll[SByte]",
"renderedValue": "083349bcb7a84b64926a10080d3cc671"
},
"R4": {
"serializedValue": "0e240008cd02a52dd20d1f108889086b4213d68e44bd951b5e0b7cce48348fc4c2c0663426b9",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02a52dd20d1f108889086b4213d68e44bd951b5e0b7cce48348fc4c2c0663426b9"
}
}
},
{
"boxId": "c3de6237cd9b68a81fc9c5e4f78a129906e68e58f5fc9b50994bd713481e4b7a",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "0aabbeda6c8e27b7a2c0871dd6e66ff6521d007f156366ec8834f49faf2db589",
"outputTransactionId": "776a5943de8e102a9f0e10eca58796b536e21ecc6c965a72cc4c70d98775045a",
"outputIndex": 18,
"outputGlobalIndex": 13668418,
"outputCreatedAt": 694685,
"outputSettledAt": 694687,
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"index": 0,
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"name": "ergopad",
"decimals": 2,
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}
],
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"sigmaType": "SLong",
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"assets": [
{
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"index": 0,
"amount": 2334,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
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},
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"R9": {
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"ergoTree": "10070400040204000500040004000400d80bd601e4c6a7040ed602b2db6308a7730000d6038c720201d604e4c6a70805d605e4c6a70705d606e4c6a70505d607e4c6a70605d6089c9d99db6903db6503fe720572067207d6098c720202d60a9972047209d60b958f99720472087207997204720a997208720ad1ed93b0b5a5d9010c63ededed93c2720c720193e4c6720c040ee4c6a7090e93b1db6308720c7301938cb2db6308720c7302000172037303d9010c41639a8c720c018cb2db63088c720c0273040002720bec937209720baea5d9010c63ededededededededed93c1720cc1a793c2720cc2a7938cb2db6308720c730500017203938cb2db6308720c73060002997209720b93e4c6720c040e720193e4c6720c0505720693e4c6720c0605720793e4c6720c0705720593e4c6720c0805720493e4c6720c090ee4c6a7090e",
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"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val tuple2 = SELF.tokens(placeholder[Int](0))\n val coll3 = tuple2._1\n val l4 = SELF.R8[Long].get\n val l5 = SELF.R7[Long].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R6[Long].get\n val l8 = CONTEXT.preHeader.timestamp - l5 / l6 * l7\n val l9 = tuple2._2\n val l10 = l4 - l9\n val l11 = if (l4 - l8 < l7) { l4 - l10 } else { l8 - l10 }\n sigmaProp(\n (\n OUTPUTS.filter(\n {(box12: Box) =>\n (((box12.propositionBytes == coll1) && (box12.R4[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)) && (box12.tokens.size == placeholder[Int](1))) && (\n box12.tokens(placeholder[Int](2))._1 == coll3\n )\n }\n ).fold(placeholder[Long](3), {(tuple12: (Long, Box)) => tuple12._1 + tuple12._2.tokens(placeholder[Int](4))._2 }) == l11\n ) && (\n (l9 == l11) || OUTPUTS.exists(\n {(box12: Box) =>\n (\n (\n (\n (\n (\n (\n (\n ((box12.value == SELF.value) && (box12.propositionBytes == SELF.propositionBytes)) && (box12.tokens(placeholder[Int](5))._1 == coll3)\n ) && (box12.tokens(placeholder[Int](6))._2 == l9 - l11)\n ) && (box12.R4[Coll[Byte]].get == coll1)\n ) && (box12.R5[Long].get == l6)\n ) && (box12.R6[Long].get == l7)\n ) && (box12.R7[Long].get == l5)\n ) && (box12.R8[Long].get == l4)\n ) && (box12.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)\n }\n )\n )\n )\n}",
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"index": 0,
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"index": 0,
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"name": "ergopad",
"decimals": 2,
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],
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"assets": [
{
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"index": 0,
"amount": 3400,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
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},
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{
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"ergoTree": "10070400040204000500040004000400d80bd601e4c6a7040ed602b2db6308a7730000d6038c720201d604e4c6a70805d605e4c6a70705d606e4c6a70505d607e4c6a70605d6089c9d99db6903db6503fe720572067207d6098c720202d60a9972047209d60b958f99720472087207997204720a997208720ad1ed93b0b5a5d9010c63ededed93c2720c720193e4c6720c040ee4c6a7090e93b1db6308720c7301938cb2db6308720c7302000172037303d9010c41639a8c720c018cb2db63088c720c0273040002720bec937209720baea5d9010c63ededededededededed93c1720cc1a793c2720cc2a7938cb2db6308720c730500017203938cb2db6308720c73060002997209720b93e4c6720c040e720193e4c6720c0505720693e4c6720c0605720793e4c6720c0705720593e4c6720c0805720493e4c6720c090ee4c6a7090e",
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"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val tuple2 = SELF.tokens(placeholder[Int](0))\n val coll3 = tuple2._1\n val l4 = SELF.R8[Long].get\n val l5 = SELF.R7[Long].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R6[Long].get\n val l8 = CONTEXT.preHeader.timestamp - l5 / l6 * l7\n val l9 = tuple2._2\n val l10 = l4 - l9\n val l11 = if (l4 - l8 < l7) { l4 - l10 } else { l8 - l10 }\n sigmaProp(\n (\n OUTPUTS.filter(\n {(box12: Box) =>\n (((box12.propositionBytes == coll1) && (box12.R4[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)) && (box12.tokens.size == placeholder[Int](1))) && (\n box12.tokens(placeholder[Int](2))._1 == coll3\n )\n }\n ).fold(placeholder[Long](3), {(tuple12: (Long, Box)) => tuple12._1 + tuple12._2.tokens(placeholder[Int](4))._2 }) == l11\n ) && (\n (l9 == l11) || OUTPUTS.exists(\n {(box12: Box) =>\n (\n (\n (\n (\n (\n (\n (\n ((box12.value == SELF.value) && (box12.propositionBytes == SELF.propositionBytes)) && (box12.tokens(placeholder[Int](5))._1 == coll3)\n ) && (box12.tokens(placeholder[Int](6))._2 == l9 - l11)\n ) && (box12.R4[Coll[Byte]].get == coll1)\n ) && (box12.R5[Long].get == l6)\n ) && (box12.R6[Long].get == l7)\n ) && (box12.R7[Long].get == l5)\n ) && (box12.R8[Long].get == l4)\n ) && (box12.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)\n }\n )\n )\n )\n}",
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{
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"index": 0,
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"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
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},
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{
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"assets": [
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"index": 0,
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"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
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],
"additionalRegisters": {
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},
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"R9": {
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"index": 0,
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"index": 0,
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"name": "ergopad",
"decimals": 2,
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}
],
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"assets": [
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"index": 0,
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"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
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"R9": {
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"ergoTree": "10070400040204000500040004000400d80bd601e4c6a7040ed602b2db6308a7730000d6038c720201d604e4c6a70805d605e4c6a70705d606e4c6a70505d607e4c6a70605d6089c9d99db6903db6503fe720572067207d6098c720202d60a9972047209d60b958f99720472087207997204720a997208720ad1ed93b0b5a5d9010c63ededed93c2720c720193e4c6720c040ee4c6a7090e93b1db6308720c7301938cb2db6308720c7302000172037303d9010c41639a8c720c018cb2db63088c720c0273040002720bec937209720baea5d9010c63ededededededededed93c1720cc1a793c2720cc2a7938cb2db6308720c730500017203938cb2db6308720c73060002997209720b93e4c6720c040e720193e4c6720c0505720693e4c6720c0605720793e4c6720c0705720593e4c6720c0805720493e4c6720c090ee4c6a7090e",
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"index": 0,
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"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
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"assets": [
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"index": 0,
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"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
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],
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"sigmaType": "Coll[SByte]",
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"ergoTree": "10070400040204000500040004000400d80bd601e4c6a7040ed602b2db6308a7730000d6038c720201d604e4c6a70805d605e4c6a70705d606e4c6a70505d607e4c6a70605d6089c9d99db6903db6503fe720572067207d6098c720202d60a9972047209d60b958f99720472087207997204720a997208720ad1ed93b0b5a5d9010c63ededed93c2720c720193e4c6720c040ee4c6a7090e93b1db6308720c7301938cb2db6308720c7302000172037303d9010c41639a8c720c018cb2db63088c720c0273040002720bec937209720baea5d9010c63ededededededededed93c1720cc1a793c2720cc2a7938cb2db6308720c730500017203938cb2db6308720c73060002997209720b93e4c6720c040e720193e4c6720c0505720693e4c6720c0605720793e4c6720c0705720593e4c6720c0805720493e4c6720c090ee4c6a7090e",
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"index": 0,
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"name": "ergopad",
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"assets": [
{
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"index": 0,
"amount": 13268,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
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],
"additionalRegisters": {
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"R9": {
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"sigmaType": "Coll[SByte]",
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{
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"index": 0,
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"index": 0,
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"index": 0,
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"name": "ergopad",
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{
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"index": 0,
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"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
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],
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"assets": [
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"index": 0,
"amount": 22219868,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
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],
"additionalRegisters": {
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"R6": {
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"R9": {
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"ergoTree": "10070400040204000500040004000400d80bd601e4c6a7040ed602b2db6308a7730000d6038c720201d604e4c6a70805d605e4c6a70705d606e4c6a70505d607e4c6a70605d6089c9d99db6903db6503fe720572067207d6098c720202d60a9972047209d60b958f99720472087207997204720a997208720ad1ed93b0b5a5d9010c63ededed93c2720c720193e4c6720c040ee4c6a7090e93b1db6308720c7301938cb2db6308720c7302000172037303d9010c41639a8c720c018cb2db63088c720c0273040002720bec937209720baea5d9010c63ededededededededed93c1720cc1a793c2720cc2a7938cb2db6308720c730500017203938cb2db6308720c73060002997209720b93e4c6720c040e720193e4c6720c0505720693e4c6720c0605720793e4c6720c0705720593e4c6720c0805720493e4c6720c090ee4c6a7090e",
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"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val tuple2 = SELF.tokens(placeholder[Int](0))\n val coll3 = tuple2._1\n val l4 = SELF.R8[Long].get\n val l5 = SELF.R7[Long].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R6[Long].get\n val l8 = CONTEXT.preHeader.timestamp - l5 / l6 * l7\n val l9 = tuple2._2\n val l10 = l4 - l9\n val l11 = if (l4 - l8 < l7) { l4 - l10 } else { l8 - l10 }\n sigmaProp(\n (\n OUTPUTS.filter(\n {(box12: Box) =>\n (((box12.propositionBytes == coll1) && (box12.R4[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)) && (box12.tokens.size == placeholder[Int](1))) && (\n box12.tokens(placeholder[Int](2))._1 == coll3\n )\n }\n ).fold(placeholder[Long](3), {(tuple12: (Long, Box)) => tuple12._1 + tuple12._2.tokens(placeholder[Int](4))._2 }) == l11\n ) && (\n (l9 == l11) || OUTPUTS.exists(\n {(box12: Box) =>\n (\n (\n (\n (\n (\n (\n (\n ((box12.value == SELF.value) && (box12.propositionBytes == SELF.propositionBytes)) && (box12.tokens(placeholder[Int](5))._1 == coll3)\n ) && (box12.tokens(placeholder[Int](6))._2 == l9 - l11)\n ) && (box12.R4[Coll[Byte]].get == coll1)\n ) && (box12.R5[Long].get == l6)\n ) && (box12.R6[Long].get == l7)\n ) && (box12.R7[Long].get == l5)\n ) && (box12.R8[Long].get == l4)\n ) && (box12.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)\n }\n )\n )\n )\n}",
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"name": "ergopad",
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"assets": [
{
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"index": 0,
"amount": 20055534,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "SLong",
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},
"R6": {
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"R8": {
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"R9": {
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"sigmaType": "Coll[SByte]",
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"assets": [
{
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"index": 0,
"amount": 22218734,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "SLong",
"renderedValue": "2628000000"
},
"R6": {
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"R8": {
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"R9": {
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
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{
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"ergoTree": "10070400040204000500040004000400d80bd601e4c6a7040ed602b2db6308a7730000d6038c720201d604e4c6a70805d605e4c6a70705d606e4c6a70505d607e4c6a70605d6089c9d99db6903db6503fe720572067207d6098c720202d60a9972047209d60b958f99720472087207997204720a997208720ad1ed93b0b5a5d9010c63ededed93c2720c720193e4c6720c040ee4c6a7090e93b1db6308720c7301938cb2db6308720c7302000172037303d9010c41639a8c720c018cb2db63088c720c0273040002720bec937209720baea5d9010c63ededededededededed93c1720cc1a793c2720cc2a7938cb2db6308720c730500017203938cb2db6308720c73060002997209720b93e4c6720c040e720193e4c6720c0505720693e4c6720c0605720793e4c6720c0705720593e4c6720c0805720493e4c6720c090ee4c6a7090e",
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"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val tuple2 = SELF.tokens(placeholder[Int](0))\n val coll3 = tuple2._1\n val l4 = SELF.R8[Long].get\n val l5 = SELF.R7[Long].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R6[Long].get\n val l8 = CONTEXT.preHeader.timestamp - l5 / l6 * l7\n val l9 = tuple2._2\n val l10 = l4 - l9\n val l11 = if (l4 - l8 < l7) { l4 - l10 } else { l8 - l10 }\n sigmaProp(\n (\n OUTPUTS.filter(\n {(box12: Box) =>\n (((box12.propositionBytes == coll1) && (box12.R4[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)) && (box12.tokens.size == placeholder[Int](1))) && (\n box12.tokens(placeholder[Int](2))._1 == coll3\n )\n }\n ).fold(placeholder[Long](3), {(tuple12: (Long, Box)) => tuple12._1 + tuple12._2.tokens(placeholder[Int](4))._2 }) == l11\n ) && (\n (l9 == l11) || OUTPUTS.exists(\n {(box12: Box) =>\n (\n (\n (\n (\n (\n (\n (\n ((box12.value == SELF.value) && (box12.propositionBytes == SELF.propositionBytes)) && (box12.tokens(placeholder[Int](5))._1 == coll3)\n ) && (box12.tokens(placeholder[Int](6))._2 == l9 - l11)\n ) && (box12.R4[Coll[Byte]].get == coll1)\n ) && (box12.R5[Long].get == l6)\n ) && (box12.R6[Long].get == l7)\n ) && (box12.R7[Long].get == l5)\n ) && (box12.R8[Long].get == l4)\n ) && (box12.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)\n }\n )\n )\n )\n}",
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{
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"index": 0,
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"name": "ergopad",
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],
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"R9": {
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"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val tuple2 = SELF.tokens(placeholder[Int](0))\n val coll3 = tuple2._1\n val l4 = SELF.R8[Long].get\n val l5 = SELF.R7[Long].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R6[Long].get\n val l8 = CONTEXT.preHeader.timestamp - l5 / l6 * l7\n val l9 = tuple2._2\n val l10 = l4 - l9\n val l11 = if (l4 - l8 < l7) { l4 - l10 } else { l8 - l10 }\n sigmaProp(\n (\n OUTPUTS.filter(\n {(box12: Box) =>\n (((box12.propositionBytes == coll1) && (box12.R4[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)) && (box12.tokens.size == placeholder[Int](1))) && (\n box12.tokens(placeholder[Int](2))._1 == coll3\n )\n }\n ).fold(placeholder[Long](3), {(tuple12: (Long, Box)) => tuple12._1 + tuple12._2.tokens(placeholder[Int](4))._2 }) == l11\n ) && (\n (l9 == l11) || OUTPUTS.exists(\n {(box12: Box) =>\n (\n (\n (\n (\n (\n (\n (\n ((box12.value == SELF.value) && (box12.propositionBytes == SELF.propositionBytes)) && (box12.tokens(placeholder[Int](5))._1 == coll3)\n ) && (box12.tokens(placeholder[Int](6))._2 == l9 - l11)\n ) && (box12.R4[Coll[Byte]].get == coll1)\n ) && (box12.R5[Long].get == l6)\n ) && (box12.R6[Long].get == l7)\n ) && (box12.R7[Long].get == l5)\n ) && (box12.R8[Long].get == l4)\n ) && (box12.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)\n }\n )\n )\n )\n}",
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{
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"index": 0,
"amount": 970834,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
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"sigmaType": "SLong",
"renderedValue": "2628000000"
},
"R6": {
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
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"index": 39,
"spendingProof": null,
"outputBlockId": "e08153b48fec4294d5841303ca405b60bbfbc834033e477fd9e5a459a69736bb",
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"outputGlobalIndex": 13668264,
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"ergoTree": "10070400040204000500040004000400d80bd601e4c6a7040ed602b2db6308a7730000d6038c720201d604e4c6a70805d605e4c6a70705d606e4c6a70505d607e4c6a70605d6089c9d99db6903db6503fe720572067207d6098c720202d60a9972047209d60b958f99720472087207997204720a997208720ad1ed93b0b5a5d9010c63ededed93c2720c720193e4c6720c040ee4c6a7090e93b1db6308720c7301938cb2db6308720c7302000172037303d9010c41639a8c720c018cb2db63088c720c0273040002720bec937209720baea5d9010c63ededededededededed93c1720cc1a793c2720cc2a7938cb2db6308720c730500017203938cb2db6308720c73060002997209720b93e4c6720c040e720193e4c6720c0505720693e4c6720c0605720793e4c6720c0705720593e4c6720c0805720493e4c6720c090ee4c6a7090e",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val tuple2 = SELF.tokens(placeholder[Int](0))\n val coll3 = tuple2._1\n val l4 = SELF.R8[Long].get\n val l5 = SELF.R7[Long].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R6[Long].get\n val l8 = CONTEXT.preHeader.timestamp - l5 / l6 * l7\n val l9 = tuple2._2\n val l10 = l4 - l9\n val l11 = if (l4 - l8 < l7) { l4 - l10 } else { l8 - l10 }\n sigmaProp(\n (\n OUTPUTS.filter(\n {(box12: Box) =>\n (((box12.propositionBytes == coll1) && (box12.R4[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)) && (box12.tokens.size == placeholder[Int](1))) && (\n box12.tokens(placeholder[Int](2))._1 == coll3\n )\n }\n ).fold(placeholder[Long](3), {(tuple12: (Long, Box)) => tuple12._1 + tuple12._2.tokens(placeholder[Int](4))._2 }) == l11\n ) && (\n (l9 == l11) || OUTPUTS.exists(\n {(box12: Box) =>\n (\n (\n (\n (\n (\n (\n (\n ((box12.value == SELF.value) && (box12.propositionBytes == SELF.propositionBytes)) && (box12.tokens(placeholder[Int](5))._1 == coll3)\n ) && (box12.tokens(placeholder[Int](6))._2 == l9 - l11)\n ) && (box12.R4[Coll[Byte]].get == coll1)\n ) && (box12.R5[Long].get == l6)\n ) && (box12.R6[Long].get == l7)\n ) && (box12.R7[Long].get == l5)\n ) && (box12.R8[Long].get == l4)\n ) && (box12.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)\n }\n )\n )\n )\n}",
"address": "Y2JDKcXN5zrz3NxpJqhGcJzgPRqQcmMhLqsX3TkkqMxQKK86Sh3hAZUuUweRZ97SLuCYLiB2duoEpYY2Zim3j5aJrDQcsvwyLG2ixLLzgMaWfBhTqxSbv1VgQQkVMKrA4Cx6AiyWJdeXSJA6UMmkGcxNCANbCw7dmrDS6KbnraTAJh6Qj6s9r56pWMeTXKWFxDQSnmB4oZ1o1y6eqyPgamRsoNuEjFBJtkTWKqYoF8FsvquvbzssZMpF6FhA1fkiH3n8oKpxARWRLjx2QwsL6W5hyydZ8VFK3SqYswFvRnCme5Ywi4GvhHeeukW4w1mhVx6sbAaJihWLHvsybRXLWToUXcqXfqYAGyVRJzD1rCeNa8kUb7KHRbzgynHCZR68Khi3G7urSunB9RPTp1EduL264YV5pmRLtoNnH9mf2hAkkmqwydi9LoULxrwsRvp",
"assets": [
{
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"index": 0,
"amount": 4441668,
"name": "ergopad",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "SLong",
"renderedValue": "2628000000"
},
"R6": {
"serializedValue": "0584999e04",
"sigmaType": "SLong",
"renderedValue": "4441666"
},
"R8": {
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"sigmaType": "SLong",
"renderedValue": "13325000"
},
"R7": {
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"sigmaType": "SLong",
"renderedValue": "1640602800000"
},
"R9": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "6fcec2a5f03b4780ac8aacedfafaf76f"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0350ce5566c4f0c63847c3d3e6981932e7ec6f6874ddff449615ba113598fc8713"
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}
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{
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"spendingProof": "4aa175b6355b571247569fc178229b770d839428510b15837b1a54b788792900c09af2b37e2c9817e20056553727ab72bb3bf19ca0bd9260",
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"outputTransactionId": "0aefad8ed2bbb675a7af97593a2706998e6fadbe830adc958fe497fd1b9c82cc",
"outputIndex": 42,
"outputGlobalIndex": 14895385,
"outputCreatedAt": 716473,
"outputSettledAt": 716477,
"ergoTree": "0008cd027c4f8d2035500bfa5107b3bd9db93f4262d0ecea16043e609c60fdf77937de17",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7c4f8d,597337,...)))}",
"address": "9fTosCDJnwEcYnyLbnuiNAqaDDkA36jkqVpGu4iJth3z2vkEyFg",
"assets": [
{
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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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],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
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