Transaction
ID: aebb87d9e5...d904
Inputs (6)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
2.41 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
94
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
97
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.41 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
13.14
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 400,231
Total coins transferred: 2.42 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000898 ERG
Raw Transaction Data
{
"id": "aebb87d9e5231abe19bf1ef2e688077e88328df99347640953cf49ea25bcd904",
"blockId": "06ca17c60efb2fc559356acf0183b3a96db5be33a3016724a81b06050c97d24f",
"inclusionHeight": 1358247,
"timestamp": 1727074972920,
"index": 16,
"globalIndex": 7823381,
"numConfirmations": 400231,
"inputs": [
{
"boxId": "a4c98ec7bb98640d861a4c1a148545626ed9203781614578e4adfe699f8025f5",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "755f6583005c17f5986a847c81265928d6dd3a1ccc2a28a462dd2b8153731e97",
"outputTransactionId": "9bb32142a266dbb1c799f87f34007e52af85d406ade87c1482df2a3dc3f2cbc3",
"outputIndex": 2,
"outputGlobalIndex": 42848354,
"outputCreatedAt": 1357881,
"outputSettledAt": 1357884,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(50,-99,77,21,65,17,125,123,-113,-117,111,88,69,123,91,-47,-108,-74,-11,-65,37,-47,28,-109,4,103,-115,94,24,-107,127,-66)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 200,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025",
"sigmaType": "Coll[SByte]",
"renderedValue": "688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025"
}
}
},
{
"boxId": "c3ccf912f60c6eb238e240af0fdccea18f55ca9b1fc64c3e4f5b5332736ac40f",
"value": 2409240000,
"index": 1,
"spendingProof": "301c6139af12aefb1d83ccb5bbedb751a5b36032c437975539ce6e8b5e4a5517a270a534bfe9699c98dd30f41d9234313cd735d442039b98",
"outputBlockId": "f2952b66da1beb10c9af0f05ababcab37be79c204af89d0d2122dcede7305e38",
"outputTransactionId": "76f6b51a047acaa9f5ac504b73bc77bac60ebfb0ad72e1b7260a09b5506ee978",
"outputIndex": 2,
"outputGlobalIndex": 42848310,
"outputCreatedAt": 1357881,
"outputSettledAt": 1357883,
"ergoTree": "0008cd027706b22b246a5db4ea16851b4b46c5fb572e16c074118928a31e5cb39a105bd2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7706b2,31f0b0,...)))}",
"address": "9fRUsuJbe1jfKZDCGDgBxgMYTZaviwbTSoP7egagpncX3rCbmi2",
"assets": [
{
"tokenId": "688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025",
"index": 0,
"amount": 3,
"name": "WID-62025-3rCbmi2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "0532ec168dafb88afd7cf6e239fb444e203c083a132f842c3dae74556abd423f",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "9f010769638ea9971309e94de50fb9ca9228b091f065680536b7a02d51f0fe2b",
"outputTransactionId": "91d4b7011c42ef3875e5f6547192128f882f98f7b96282bde9abe5dd9f8339e6",
"outputIndex": 3,
"outputGlobalIndex": 42851560,
"outputCreatedAt": 1357898,
"outputSettledAt": 1357901,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(50,-99,77,21,65,17,125,123,-113,-117,111,88,69,123,91,-47,-108,-74,-11,-65,37,-47,28,-109,4,103,-115,94,24,-107,127,-66)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 4000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025",
"sigmaType": "Coll[SByte]",
"renderedValue": "688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025"
}
}
},
{
"boxId": "d0a422237cd241740824d0f5853290eb98419442660e80e150f1469bea32e794",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "9f010769638ea9971309e94de50fb9ca9228b091f065680536b7a02d51f0fe2b",
"outputTransactionId": "acf0ca46eeee81728cde2830a9e21458f619a3d2492052ee94c919dc290b7781",
"outputIndex": 7,
"outputGlobalIndex": 42851581,
"outputCreatedAt": 1357898,
"outputSettledAt": 1357901,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(50,-99,77,21,65,17,125,123,-113,-117,111,88,69,123,91,-47,-108,-74,-11,-65,37,-47,28,-109,4,103,-115,94,24,-107,127,-66)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 4938,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025",
"sigmaType": "Coll[SByte]",
"renderedValue": "688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025"
}
}
},
{
"boxId": "e17050037403323e8410e5a6d6827b27c0ebe6bca0b0b6456ea4d62c2dc411fa",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "9f010769638ea9971309e94de50fb9ca9228b091f065680536b7a02d51f0fe2b",
"outputTransactionId": "917399700e30adfdabe75250cf3f0a1940262a7d8c75e76a781ebfec1ae524d3",
"outputIndex": 5,
"outputGlobalIndex": 42851596,
"outputCreatedAt": 1357898,
"outputSettledAt": 1357901,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(50,-99,77,21,65,17,125,123,-113,-117,111,88,69,123,91,-47,-108,-74,-11,-65,37,-47,28,-109,4,103,-115,94,24,-107,127,-66)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 4000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025",
"sigmaType": "Coll[SByte]",
"renderedValue": "688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025"
}
}
},
{
"boxId": "8f8f323eacdbd274ecffbfd00727533d4e273d52f8830e6f696fab7228e566b9",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "f2952b66da1beb10c9af0f05ababcab37be79c204af89d0d2122dcede7305e38",
"outputTransactionId": "76f6b51a047acaa9f5ac504b73bc77bac60ebfb0ad72e1b7260a09b5506ee978",
"outputIndex": 0,
"outputGlobalIndex": 42848308,
"outputCreatedAt": 1357881,
"outputSettledAt": 1357883,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(50,-99,77,21,65,17,125,123,-113,-117,111,88,69,123,91,-47,-108,-74,-11,-65,37,-47,28,-109,4,103,-115,94,24,-107,127,-66)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 94000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025",
"sigmaType": "Coll[SByte]",
"renderedValue": "688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "2e72b52fff6d4eecb36c912c88660cf0849e1a430629b62bf30747f79d8238e3",
"transactionId": "aebb87d9e5231abe19bf1ef2e688077e88328df99347640953cf49ea25bcd904",
"blockId": "06ca17c60efb2fc559356acf0183b3a96db5be33a3016724a81b06050c97d24f",
"value": 2000000,
"index": 0,
"globalIndex": 42863352,
"creationHeight": 1358245,
"settlementHeight": 1358247,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(50,-99,77,21,65,17,125,123,-113,-117,111,88,69,123,91,-47,-108,-74,-11,-65,37,-47,28,-109,4,103,-115,94,24,-107,127,-66)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 97000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025",
"sigmaType": "Coll[SByte]",
"renderedValue": "688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "de952070e014c47beca4c86d53e19ae743a2aa257ce569ebfe7393bf65991811",
"mainChain": true
},
{
"boxId": "03ede736d092a86d73a17c85aca9789e87c0431d4023b891937a46cffb4663b0",
"transactionId": "aebb87d9e5231abe19bf1ef2e688077e88328df99347640953cf49ea25bcd904",
"blockId": "06ca17c60efb2fc559356acf0183b3a96db5be33a3016724a81b06050c97d24f",
"value": 2000000,
"index": 1,
"globalIndex": 42863353,
"creationHeight": 1358245,
"settlementHeight": 1358247,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-18,-17,-52,-75,-35,20,117,78,69,-12,-14,-5,-9,113,-96,42,46,-108,-127,7,-94,-19,-125,-31,64,3,92,-97,67,-124,37,-56)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-85,-34,109,43,81,-10,-24,-72,95,48,64,-20,-52,-77,8,117,49,-16,119,58,106,29,63,-86,-18,-16,67,-31,3,-112,-13,-21)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025",
"sigmaType": "Coll[SByte]",
"renderedValue": "688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025"
},
"R5": {
"serializedValue": "0e20c16f479764536535535af331d8ad397451e16d80987ef1fa9116ae35750561c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "c16f479764536535535af331d8ad397451e16d80987ef1fa9116ae35750561c7"
},
"R6": {
"serializedValue": "0e20ff7d8980d19dd049849500fd90217820640e8edc10b8e68ac88ca1c241cd7ab4",
"sigmaType": "Coll[SByte]",
"renderedValue": "ff7d8980d19dd049849500fd90217820640e8edc10b8e68ac88ca1c241cd7ab4"
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"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
},
"spentTransactionId": "5c2a52d584d49a6deb8fd75ee104655116d632ed898e6fe461f20687b0f8ce89",
"mainChain": true
},
{
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"transactionId": "aebb87d9e5231abe19bf1ef2e688077e88328df99347640953cf49ea25bcd904",
"blockId": "06ca17c60efb2fc559356acf0183b3a96db5be33a3016724a81b06050c97d24f",
"value": 2411240000,
"index": 2,
"globalIndex": 42863354,
"creationHeight": 1358245,
"settlementHeight": 1358247,
"ergoTree": "0008cd027706b22b246a5db4ea16851b4b46c5fb572e16c074118928a31e5cb39a105bd2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7706b2,31f0b0,...)))}",
"address": "9fRUsuJbe1jfKZDCGDgBxgMYTZaviwbTSoP7egagpncX3rCbmi2",
"assets": [
{
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"index": 0,
"amount": 3,
"name": "WID-62025-3rCbmi2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "de952070e014c47beca4c86d53e19ae743a2aa257ce569ebfe7393bf65991811",
"mainChain": true
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{
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"transactionId": "aebb87d9e5231abe19bf1ef2e688077e88328df99347640953cf49ea25bcd904",
"blockId": "06ca17c60efb2fc559356acf0183b3a96db5be33a3016724a81b06050c97d24f",
"value": 2000000,
"index": 3,
"globalIndex": 42863355,
"creationHeight": 1358245,
"settlementHeight": 1358247,
"ergoTree": "0008cd027706b22b246a5db4ea16851b4b46c5fb572e16c074118928a31e5cb39a105bd2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7706b2,31f0b0,...)))}",
"address": "9fRUsuJbe1jfKZDCGDgBxgMYTZaviwbTSoP7egagpncX3rCbmi2",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 13138,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
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"additionalRegisters": {},
"spentTransactionId": "ffbb24c278160100c5c4f0ca65a41eda5030c657a38a5f791b14093dabd4cc87",
"mainChain": true
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{
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"transactionId": "aebb87d9e5231abe19bf1ef2e688077e88328df99347640953cf49ea25bcd904",
"blockId": "06ca17c60efb2fc559356acf0183b3a96db5be33a3016724a81b06050c97d24f",
"value": 2000000,
"index": 4,
"globalIndex": 42863356,
"creationHeight": 1358245,
"settlementHeight": 1358247,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "d2cec180d20d54db39699241d846120417584bc176bb45cc7b2944b36a206565",
"mainChain": true
}
],
"size": 2228,
"isUnconfirmed": false
}