Transaction
ID: ca41797f43...b07f
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.464 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.464 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
21
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 146,963
Total coins transferred: 0.472 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000902 ERG
Raw Transaction Data
{
"id": "ca41797f435c4ebc70f46c50222d9d87fe66a71d28b4e01bf7afaf2c39cbb07f",
"blockId": "a681203cf2201afef622728e4e5e6742617685686f28c93e688a26ac906a47be",
"inclusionHeight": 1609608,
"timestamp": 1757509803667,
"index": 11,
"globalIndex": 9459643,
"numConfirmations": 146963,
"inputs": [
{
"boxId": "16b7b0cc9878fcc2cb5d03a80687bad726a778ad366ee061301dfa130967e2ce",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "4e1720d204d75ab121a8fb6d32ec336dfbe6e79fd87d4e6de5cf0e16c3aa4522",
"outputTransactionId": "a68e242174c0dad69ca84126ce2e1bb46bdecaa6164d394937da7a091dbdb8bd",
"outputIndex": 0,
"outputGlobalIndex": 49849540,
"outputCreatedAt": 1604090,
"outputSettledAt": 1604092,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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(86,77,-85,91,-26,54,55,-66,-3,8,-104,44,72,-63,31,114,115,-16,56,58,78,84,-20,-98,-80,72,-7,-25,18,110,56,44)\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": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 7000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b",
"sigmaType": "Coll[SByte]",
"renderedValue": "3341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "b7eaadf7b14d47ed2f7f84c7873bcc7275f1a8189f8633bc79b2157affd769e1",
"value": 464000000,
"index": 1,
"spendingProof": "7de0be3c016fb71ce6ce6945aaa8fba25df77730e4872981bad69652e457645aba0ce50db6cb9c2a230eaee31a0def1063b3cf2a9d5caedb",
"outputBlockId": "4e1720d204d75ab121a8fb6d32ec336dfbe6e79fd87d4e6de5cf0e16c3aa4522",
"outputTransactionId": "a68e242174c0dad69ca84126ce2e1bb46bdecaa6164d394937da7a091dbdb8bd",
"outputIndex": 2,
"outputGlobalIndex": 49849542,
"outputCreatedAt": 1604090,
"outputSettledAt": 1604092,
"ergoTree": "0008cd03960d6d199740708121b2b3242cdee779c10152dc7586b8bfdc443a02a2a61cb8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(960d6d,cd31de,...)))}",
"address": "9hbtaadFepEg2kiY1dB8RCoE9PWGrp9y4USeVZ454uDHdwArzCs",
"assets": [
{
"tokenId": "3341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b",
"index": 0,
"amount": 3,
"name": "WID-c545b-dwArzCs",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "583085693924a666a16be12c9cb989ee15ac228a16429444f208f23d1f1ad128",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "c5dda7b4cc1a679084588dc3cf25731273466b6e82cb708ff3c5fca7fa341600",
"outputTransactionId": "a06c5b40f43753db5e70a77391d06c845ef6181c9f023fbd9e183b71066712de",
"outputIndex": 3,
"outputGlobalIndex": 49849796,
"outputCreatedAt": 1604100,
"outputSettledAt": 1604102,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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(86,77,-85,91,-26,54,55,-66,-3,8,-104,44,72,-63,31,114,115,-16,56,58,78,84,-20,-98,-80,72,-7,-25,18,110,56,44)\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": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 7000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b",
"sigmaType": "Coll[SByte]",
"renderedValue": "3341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b"
}
}
},
{
"boxId": "68c5ca34711cf0a3121d47b05000133736798eab8312f3e886f30d9f2b32b28c",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "a3814ea0ddb2c64253c38408c8327740a4ae8a0f61b73d42dfce07e050c080a3",
"outputTransactionId": "8fac662f8badba1fd987fd98394f3f0f95eff946919833eb74e111d5b8ea0dcf",
"outputIndex": 2,
"outputGlobalIndex": 49875542,
"outputCreatedAt": 1604111,
"outputSettledAt": 1605314,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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(86,77,-85,91,-26,54,55,-66,-3,8,-104,44,72,-63,31,114,115,-16,56,58,78,84,-20,-98,-80,72,-7,-25,18,110,56,44)\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": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 7000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b",
"sigmaType": "Coll[SByte]",
"renderedValue": "3341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b"
}
}
},
{
"boxId": "523e7c3777a9a3b9e9c37d2057048b26c6ef90b4446bc2532fbc422a5c1bb070",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "a3814ea0ddb2c64253c38408c8327740a4ae8a0f61b73d42dfce07e050c080a3",
"outputTransactionId": "f2220ab8a0d91195e9fbd6f34cef4a15354c3ab912fc557176041d669f634362",
"outputIndex": 0,
"outputGlobalIndex": 49875552,
"outputCreatedAt": 1604111,
"outputSettledAt": 1605314,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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(86,77,-85,91,-26,54,55,-66,-3,8,-104,44,72,-63,31,114,115,-16,56,58,78,84,-20,-98,-80,72,-7,-25,18,110,56,44)\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": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 7000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b",
"sigmaType": "Coll[SByte]",
"renderedValue": "3341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "7e4d886c887990cc8492694d1374bcbc547d66fd78659d554a5b214967b425a5",
"transactionId": "ca41797f435c4ebc70f46c50222d9d87fe66a71d28b4e01bf7afaf2c39cbb07f",
"blockId": "a681203cf2201afef622728e4e5e6742617685686f28c93e688a26ac906a47be",
"value": 2000000,
"index": 0,
"globalIndex": 50159939,
"creationHeight": 1609605,
"settlementHeight": 1609608,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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(86,77,-85,91,-26,54,55,-66,-3,8,-104,44,72,-63,31,114,115,-16,56,58,78,84,-20,-98,-80,72,-7,-25,18,110,56,44)\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": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 9000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b",
"sigmaType": "Coll[SByte]",
"renderedValue": "3341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "0889ce6e195b063394f770db8cd8f3a53014e7c0f81c78999db7f6f11bc75825",
"mainChain": true
},
{
"boxId": "43b7b9d41a45c58180ff48189b65ebe66f99de430bba146991f1287566617c24",
"transactionId": "ca41797f435c4ebc70f46c50222d9d87fe66a71d28b4e01bf7afaf2c39cbb07f",
"blockId": "a681203cf2201afef622728e4e5e6742617685686f28c93e688a26ac906a47be",
"value": 2000000,
"index": 1,
"globalIndex": 50159940,
"creationHeight": 1609605,
"settlementHeight": 1609608,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-17,-21,35,82,-114,52,-80,-40,20,56,112,-37,-3,-114,7,115,-120,-101,81,25,-90,-17,91,-39,98,32,30,-60,86,-36,-37,-81)\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(-88,-79,0,123,-113,-110,-123,68,31,-28,61,-96,99,121,49,51,-47,78,-9,105,78,16,-118,43,-123,-84,-93,-59,19,-118,-78,78)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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}",
"address": "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",
"assets": [
{
"tokenId": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b",
"sigmaType": "Coll[SByte]",
"renderedValue": "3341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b"
},
"R5": {
"serializedValue": "0e2008e871e1bb1a45f242ed5f3981262bc942b9a01007a9b980b3000bf1215bf680",
"sigmaType": "Coll[SByte]",
"renderedValue": "08e871e1bb1a45f242ed5f3981262bc942b9a01007a9b980b3000bf1215bf680"
},
"R6": {
"serializedValue": "0e20c4cfff1a5893f1eaafed286b4728ad533af7dc923d38a41140186369576f5f73",
"sigmaType": "Coll[SByte]",
"renderedValue": "c4cfff1a5893f1eaafed286b4728ad533af7dc923d38a41140186369576f5f73"
},
"R7": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
}
},
"spentTransactionId": "187157bbb4904f384a19d15a0307c8888612429012663d061029e863e413b0a1",
"mainChain": true
},
{
"boxId": "8d45fe131ebf1a51eac00b2e7d7883e630183a890d57d71367813fe5330fbced",
"transactionId": "ca41797f435c4ebc70f46c50222d9d87fe66a71d28b4e01bf7afaf2c39cbb07f",
"blockId": "a681203cf2201afef622728e4e5e6742617685686f28c93e688a26ac906a47be",
"value": 464000000,
"index": 2,
"globalIndex": 50159941,
"creationHeight": 1609605,
"settlementHeight": 1609608,
"ergoTree": "0008cd03960d6d199740708121b2b3242cdee779c10152dc7586b8bfdc443a02a2a61cb8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(960d6d,cd31de,...)))}",
"address": "9hbtaadFepEg2kiY1dB8RCoE9PWGrp9y4USeVZ454uDHdwArzCs",
"assets": [
{
"tokenId": "3341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b",
"index": 0,
"amount": 3,
"name": "WID-c545b-dwArzCs",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "0889ce6e195b063394f770db8cd8f3a53014e7c0f81c78999db7f6f11bc75825",
"mainChain": true
},
{
"boxId": "c844973af8d8129f3e0596f24f1eba7f416e99e8502bd73f7b60e4527c1c967f",
"transactionId": "ca41797f435c4ebc70f46c50222d9d87fe66a71d28b4e01bf7afaf2c39cbb07f",
"blockId": "a681203cf2201afef622728e4e5e6742617685686f28c93e688a26ac906a47be",
"value": 2000000,
"index": 3,
"globalIndex": 50159942,
"creationHeight": 1609605,
"settlementHeight": 1609608,
"ergoTree": "0008cd03960d6d199740708121b2b3242cdee779c10152dc7586b8bfdc443a02a2a61cb8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(960d6d,cd31de,...)))}",
"address": "9hbtaadFepEg2kiY1dB8RCoE9PWGrp9y4USeVZ454uDHdwArzCs",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 21000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e2e5cc518ca129c4f3275b52a104b2bc78c3034c680adfba6063ec994f9523e5",
"mainChain": true
},
{
"boxId": "6045e625749baa799e266aa012d9cdb409848895e345c5c91e54463ce870ea70",
"transactionId": "ca41797f435c4ebc70f46c50222d9d87fe66a71d28b4e01bf7afaf2c39cbb07f",
"blockId": "a681203cf2201afef622728e4e5e6742617685686f28c93e688a26ac906a47be",
"value": 2000000,
"index": 4,
"globalIndex": 50159943,
"creationHeight": 1609605,
"settlementHeight": 1609608,
"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": "fda8a9af6da9c8f2d3137cb8ef8b267e2cc56db4a4467ff3b5e354817c8d9aeb",
"mainChain": true
}
],
"size": 2218,
"isUnconfirmed": false
}