Transaction
ID: 22108a6e78...e9fe
Inputs (11)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.93 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.94 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 673,166
Total coins transferred: 1.94 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000551 ERG
Raw Transaction Data
{
"id": "22108a6e7870b7d0710cf83b6396f965e855ad24dfd7804e78154e63cfe4e9fe",
"blockId": "e8fe45725e0f8f78c10381167005ebe8b425a7fee4b4289a844071e3b3919a99",
"inclusionHeight": 1088798,
"timestamp": 1694443652071,
"index": 8,
"globalIndex": 5811767,
"numConfirmations": 673166,
"inputs": [
{
"boxId": "3bff4a9b6916aded1fef89678e8e27bcc1f34c0ad9673188d41c43f29aee47e0",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "24d328947267f6941caf150e514a3b82f9d50890d61c60c0406bd012281bb414",
"outputTransactionId": "68b7234a93629d6e143e07bd797e62c8b3f2b694261774faa14013126cb9e3ca",
"outputIndex": 0,
"outputGlobalIndex": 32475760,
"outputCreatedAt": 1087212,
"outputSettledAt": 1087214,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-76,102,-91,48,45,-121,-93,-27,107,54,97,60,19,54,-63,-47,100,60,73,22,82,35,90,-46,7,-123,54,84,-41,-128,52,-96)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "3825b2b4acaaaba626440113153246c65ddb2e9df406c4a56418b5842c9f839a",
"index": 0,
"amount": 9810000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "9f729aae69dbc646566b53b2fc325c7c41894d190fbb03bb5f6f07a95c229e73",
"value": 1931600000,
"index": 1,
"spendingProof": "75f5c9c0986fa7ca091da5bc4834ce4f7e309b9350e20c6d491f6bd9e79c485b8c2c5f5e5d3e902e4c6a6d2d1c3717f8d9ff339e21bddd3c",
"outputBlockId": "24d328947267f6941caf150e514a3b82f9d50890d61c60c0406bd012281bb414",
"outputTransactionId": "68b7234a93629d6e143e07bd797e62c8b3f2b694261774faa14013126cb9e3ca",
"outputIndex": 2,
"outputGlobalIndex": 32475762,
"outputCreatedAt": 1087212,
"outputSettledAt": 1087214,
"ergoTree": "0008cd0343b380fe1b0a0d706a1320b01aaf54e70e5c0295f88e8add558aee6c263561c9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(43b380,8d62a9,...)))}",
"address": "9gyd2YQgKZPHgGJu6aPZHaLNGf8DzyE5ufQ81LSFNqCe3SVZ8Ww",
"assets": [
{
"tokenId": "fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
},
{
"boxId": "f646f2985f5861f05ed1f53b255a129dad950b49fec015e2447dd0aac3a4d562",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "9938332b346ddf27ee11d36a6f8be6a9841ccdd29f32ff12c16683a07904a463",
"outputTransactionId": "237f211e2269820d8969a227f889c061aa8c5ba011175209439af88e9593031a",
"outputIndex": 0,
"outputGlobalIndex": 32479193,
"outputCreatedAt": 1087267,
"outputSettledAt": 1087273,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-76,102,-91,48,45,-121,-93,-27,107,54,97,60,19,54,-63,-47,100,60,73,22,82,35,90,-46,7,-123,54,84,-41,-128,52,-96)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "3825b2b4acaaaba626440113153246c65ddb2e9df406c4a56418b5842c9f839a",
"index": 0,
"amount": 10000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 1,
"amount": 80,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01]"
}
}
},
{
"boxId": "3ffcd048515bf35bfd3c6732e4eaccb05b1f77b5b9cd656f68a0fe9f6267e3c6",
"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "7471c30f026b6e712fedd8a8356c85386f90bbfa85e25df9ac9e88afa97f767e",
"outputTransactionId": "1c0bc88b5409e3bcf837ad7df4a24aeafe4bb4197a5543146c7e7b0b74cade1a",
"outputIndex": 2,
"outputGlobalIndex": 32525112,
"outputCreatedAt": 1088617,
"outputSettledAt": 1088628,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-76,102,-91,48,45,-121,-93,-27,107,54,97,60,19,54,-63,-47,100,60,73,22,82,35,90,-46,7,-123,54,84,-41,-128,52,-96)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "3825b2b4acaaaba626440113153246c65ddb2e9df406c4a56418b5842c9f839a",
"index": 0,
"amount": 10000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01]"
}
}
},
{
"boxId": "59c3fda0dbd26f0f763e4e54f6b6d1e5dbc74940602c452b8fba7c4889845baa",
"value": 1100000,
"index": 4,
"spendingProof": null,
"outputBlockId": "b477c7c37e80f7060c78564042e62dc44a39c96b11662b592d59258b722808ef",
"outputTransactionId": "022758e6b577b8d08961198f752ca09c15dd8ecda349b90911b4feedcaff0961",
"outputIndex": 2,
"outputGlobalIndex": 32525433,
"outputCreatedAt": 1088633,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-76,102,-91,48,45,-121,-93,-27,107,54,97,60,19,54,-63,-47,100,60,73,22,82,35,90,-46,7,-123,54,84,-41,-128,52,-96)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01]"
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"index": 9,
"spendingProof": null,
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"outputGlobalIndex": 32527509,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-76,102,-91,48,45,-121,-93,-27,107,54,97,60,19,54,-63,-47,100,60,73,22,82,35,90,-46,7,-123,54,84,-41,-128,52,-96)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01]"
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}
},
{
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"value": 1100000,
"index": 10,
"spendingProof": null,
"outputBlockId": "090faeaaa9d5a757774d350109c879edabba340925744ef554231792886f02c7",
"outputTransactionId": "27ad325a754687a8ab7c7fb6b84fef7b189700039a0d078a8ae12de4f1599e8d",
"outputIndex": 7,
"outputGlobalIndex": 32527820,
"outputCreatedAt": 1088713,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-76,102,-91,48,45,-121,-93,-27,107,54,97,60,19,54,-63,-47,100,60,73,22,82,35,90,-46,7,-123,54,84,-41,-128,52,-96)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"name": "rptconfErgoRWTV1",
"decimals": 0,
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"renderedValue": "[fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01]"
}
}
}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "22108a6e7870b7d0710cf83b6396f965e855ad24dfd7804e78154e63cfe4e9fe",
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"index": 0,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(50,-18,93,-108,124,-2,-115,-75,72,1,87,-1,-91,102,-71,-73,-39,-6,-12,31,-95,69,-55,-48,6,40,-57,-63,89,-104,120,-10)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 0\n13: Coll(-76,102,-91,48,45,-121,-93,-27,107,54,97,60,19,54,-63,-47,100,60,73,22,82,35,90,-46,7,-123,54,84,-41,-128,52,-96)\n14: 2\n15: 0\n16: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (coll6.exists(\n {(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 }\n )) { allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes)) } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll7 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll6(placeholder[Int](12))._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](13), box5.R5[\n Coll[Coll[Byte]]\n ].isDefined, box5.R6[Coll[Byte]].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll7), box5.R4[\n Coll[Coll[Byte]]\n ].get == coll4, !bool3, box1.propositionBytes == coll7, box1.R4[Coll[Coll[Byte]]].get == coll4, OUTPUTS(placeholder[Int](14)).tokens(\n placeholder[Int](15)\n )._1 == coll4(placeholder[Int](16))\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 9890000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01]"
},
"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "bb578af443cf9d3f53d11007217fbdfa25a78721c62add6ca57ca1dd9208e2e2",
"mainChain": true
},
{
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"value": 1100000,
"index": 1,
"globalIndex": 32530605,
"creationHeight": 1088795,
"settlementHeight": 1088798,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(66,11,46,-97,-78,-68,-35,-19,-1,101,11,-26,59,26,-53,-62,107,-64,-67,-35,37,91,0,50,80,-121,-86,85,-107,-88,-102,58)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 3\n12: 2\n13: 1\n14: 1\n15: 100\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val coll12 = INPUTS.filter({(box12: Box) => SELF.propositionBytes == box12.propositionBytes })\n val i13 = coll12.size\n val l14 = i13.toLong\n val box15 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12)) + coll16(placeholder[Int](13)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](14) / placeholder[\n Long\n ](15)\n val tuple19 = SELF.tokens(placeholder[Int](16))\n val l20 = coll16(placeholder[Int](17))\n val tuple21 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box10.value >= coll12.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](19), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll12.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](20), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i13, blake2b256(coll9.append(coll4(placeholder[Int](21)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](blake2b256(coll7(placeholder[Int](22)))), l14 > if (l17 < l18) { l17 } else {\n l18\n }, tuple19._2 == l20, tuple21._2 == l20 * l14, tuple21._1 == tuple19._1\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](23))\n val tuple13 = SELF.tokens(placeholder[Int](24))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "rptconfErgoRWTV1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01]"
},
"R5": {
"serializedValue": "1a0120a11f82eaee235cbb8f878957a83593509fcf6aca22a59f07f546b3670f3f64d0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a11f82eaee235cbb8f878957a83593509fcf6aca22a59f07f546b3670f3f64d0]"
},
"R6": {
"serializedValue": "0e20f7225d18edc0fdaec8ba957adf2a56030c21f82b30ffa67e6fa44282ae96958c",
"sigmaType": "Coll[SByte]",
"renderedValue": "f7225d18edc0fdaec8ba957adf2a56030c21f82b30ffa67e6fa44282ae96958c"
},
"R7": {
"serializedValue": "0e20aedb01e6a2594d7dacf6f63b2f3247e3b1ecf01409960758934d2fb4c3004f07",
"sigmaType": "Coll[SByte]",
"renderedValue": "aedb01e6a2594d7dacf6f63b2f3247e3b1ecf01409960758934d2fb4c3004f07"
}
},
"spentTransactionId": "a143c9106417645ff1e0127c38d5b227a5e1f606c9e8b8ad6c5c0e08a527592b",
"mainChain": true
},
{
"boxId": "f53d566f1dd1dd005c7c766c7d9447a0ab94649b35c35bf9192a0f7ad9f4dde2",
"transactionId": "22108a6e7870b7d0710cf83b6396f965e855ad24dfd7804e78154e63cfe4e9fe",
"blockId": "e8fe45725e0f8f78c10381167005ebe8b425a7fee4b4289a844071e3b3919a99",
"value": 1938200000,
"index": 2,
"globalIndex": 32530606,
"creationHeight": 1088795,
"settlementHeight": 1088798,
"ergoTree": "0008cd0343b380fe1b0a0d706a1320b01aaf54e70e5c0295f88e8add558aee6c263561c9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(43b380,8d62a9,...)))}",
"address": "9gyd2YQgKZPHgGJu6aPZHaLNGf8DzyE5ufQ81LSFNqCe3SVZ8Ww",
"assets": [
{
"tokenId": "fe83cb8a2843fa6f5751d65e4f957fc622c67ab9211f30b44991a1fb03145c01",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {},
"spentTransactionId": "bb578af443cf9d3f53d11007217fbdfa25a78721c62add6ca57ca1dd9208e2e2",
"mainChain": true
},
{
"boxId": "6b5952678c6e6ef778a9a0e441220765ac47f7086a52c317328b9eb5ff393bf3",
"transactionId": "22108a6e7870b7d0710cf83b6396f965e855ad24dfd7804e78154e63cfe4e9fe",
"blockId": "e8fe45725e0f8f78c10381167005ebe8b425a7fee4b4289a844071e3b3919a99",
"value": 1100000,
"index": 3,
"globalIndex": 32530607,
"creationHeight": 1088795,
"settlementHeight": 1088798,
"ergoTree": "0008cd0343b380fe1b0a0d706a1320b01aaf54e70e5c0295f88e8add558aee6c263561c9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(43b380,8d62a9,...)))}",
"address": "9gyd2YQgKZPHgGJu6aPZHaLNGf8DzyE5ufQ81LSFNqCe3SVZ8Ww",
"assets": [
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 0,
"amount": 180,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "39ef3c2e25e14b4d676394c8885abf0b11f2b19269c5571284c1ac8aece1c851",
"mainChain": true
},
{
"boxId": "08b9b2d7b54f18e487d598fbfd69e096d4f3e17d3b39bd6a81b75b10ae96bfb2",
"transactionId": "22108a6e7870b7d0710cf83b6396f965e855ad24dfd7804e78154e63cfe4e9fe",
"blockId": "e8fe45725e0f8f78c10381167005ebe8b425a7fee4b4289a844071e3b3919a99",
"value": 1100000,
"index": 4,
"globalIndex": 32530608,
"creationHeight": 1088795,
"settlementHeight": 1088798,
"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": "e66dec37d0fac1673efad0ea437982d21913c51c103d0846446644ef0c6fecca",
"mainChain": true
}
],
"size": 1996,
"isUnconfirmed": false
}