Transaction
ID: 76f3a3ba84...792d
Inputs (7)
Spent
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,001.00
Spent
Address:
Output transaction:
Settlement height:
Value:
5.39 ERG
Tokens:
Loading assets...
Spent
Output transaction:
Settlement height:
Value:
0.001989239 ERG
Tokens:
5
3,000
Spent
Output transaction:
Settlement height:
Value:
0.001989354 ERG
Tokens:
3
3,000
Spent
Output transaction:
Settlement height:
Value:
0.001988214 ERG
Tokens:
2
3,000
Spent
Output transaction:
Settlement height:
Value:
0.001986621 ERG
Tokens:
5
3,000
Spent
Output transaction:
Settlement height:
Value:
0.001989239 ERG
Tokens:
2
3,000
Outputs (5)
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
15,001.00
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.4 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
17.10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 172,358
Total coins transferred: 5.4 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000883 ERG
Raw Transaction Data
{
"id": "76f3a3ba84ad3c42e5532a1b3dac3aa297de01c16751c8ecfa5e1c5121ec792d",
"blockId": "14c3a9e3ce75421b5625ec669b57e3a12e209d6566e2e6ff69804ca82d8c97dd",
"inclusionHeight": 1586123,
"timestamp": 1754655603158,
"index": 4,
"globalIndex": 9322218,
"numConfirmations": 172358,
"inputs": [
{
"boxId": "50538d3327414dfd32c39d30092e8f7beb37aa8f92e0a74927e54326e4d9a90d",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "df18f8b683ba5bc73458011044c957440ceb40d1cff2069755dbf5be085a08e1",
"outputTransactionId": "af9e01ca92f01d77878054941017f03e518fdc603f2fefbc8b8a2c6ada0df82b",
"outputIndex": 0,
"outputGlobalIndex": 49333647,
"outputCreatedAt": 1585944,
"outputSettledAt": 1585948,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3001001,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557",
"sigmaType": "Coll[SByte]",
"renderedValue": "6576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "85ad031943d5e785f1a566359096e23b766da45aa48af9e36602eb9ef7c993f0",
"value": 5392357001,
"index": 1,
"spendingProof": "5a0deb0b27ec60e70452815955175d9f0e27422371c480ced9d166239d77e5b53edadeb0295789cd4b92bfe48ac3c1c4d2a654924be44d02",
"outputBlockId": "df18f8b683ba5bc73458011044c957440ceb40d1cff2069755dbf5be085a08e1",
"outputTransactionId": "af9e01ca92f01d77878054941017f03e518fdc603f2fefbc8b8a2c6ada0df82b",
"outputIndex": 2,
"outputGlobalIndex": 49333649,
"outputCreatedAt": 1585944,
"outputSettledAt": 1585948,
"ergoTree": "0008cd029c2453d0d679582e1731093102aca568f37a28d3c92c2acdb0de40d27c9aa2cb",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9c2453,369889,...)))}",
"address": "9fhpx5PPY44NqfxasA34QYRJegVhX3C5wAw77U55HadL6gMYH7t",
"assets": [
{
"tokenId": "6576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557",
"index": 0,
"amount": 3,
"name": "WID-0e557-6gMYH7t",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "b612c6b39813e80637640a764d63be950d94c29dd4df529372eae74f15e0b4c8",
"value": 1989239,
"index": 2,
"spendingProof": null,
"outputBlockId": "df18f8b683ba5bc73458011044c957440ceb40d1cff2069755dbf5be085a08e1",
"outputTransactionId": "4c2230cfd141f2a38e9ab268abd713d14f36feab6158f844d30ac3fb76a36f11",
"outputIndex": 1,
"outputGlobalIndex": 49333662,
"outputCreatedAt": 1585944,
"outputSettledAt": 1585948,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUmvtxr3QSv1aLwThLXxeqYCCc34xjxZDPqPyNGYvWLNeBZxATvBeDuQ6pSiiRFknqmvYVsm9eH4Et3eRHCyxDJEoqZsAahwfVSya34dZNHmjaPQkwWo3Coc17pxiEnWuWmG38wSJz1awE6cymzhojnjxDTbbXgjR1yfYU3AU2v9zttnT8Gz3gUzZNSwjiXSPu3G9zkDaFZVKqb5QwTWY3Pp6SFJgBQfx3C3sp4a9d3n9c98pfWFWAGQN5EfkoHosF8BQTDuzXG3NU8gVCNeNPXYA8iWCbvY3XpxQMvQUxqkjDv9VQfUNvAKVHLW43chi2rdBrQ7Teu6NnesLRWUKXpzSxpByWftkCCdBppjZtYmhhCHqpQGkQyTcMRoP2krFKe7xKbfnFkdkhaYH9TTdKuTuKtGb265RXxiqrc34KvkZpaBBQB5UvoCU4iLSDngNTjqkNPnWekDahzNHLd6CtcdC1B19jdGEXWeNADemDtdK4zrMNg7U8iVpyGYhLDnkeLVrcbhoxkHxrFwfrN19XvitDosQqmt9dseR6SWHBCDZJdmJecCiEwd2wBiwN5N5umEy3Dd4Hznv7kDr6eX7KtYxp",
"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 5483,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557",
"sigmaType": "Coll[SByte]",
"renderedValue": "6576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557"
}
}
},
{
"boxId": "1edf20e840b2e30d5ceae4904c0d072aafbf67b534f27bdd36824b3014f5637d",
"value": 1989354,
"index": 3,
"spendingProof": null,
"outputBlockId": "55672d6c08aef7ebf1779623fe3cc897070ca4cd39b0c2cda4cae581d6e78ae6",
"outputTransactionId": "e7497d6c45159c85f51da0ae8d84d6a970060d806ed77c79cf8c6499fadbfdb1",
"outputIndex": 1,
"outputGlobalIndex": 49335593,
"outputCreatedAt": 1585959,
"outputSettledAt": 1585964,
"ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20375fa034ae65fe2336c7d1d40bf6ec3b0cdb3af7841282a7a41a1812a7ca855b04040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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}",
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"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"name": "eRSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "6576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557"
}
}
},
{
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"value": 1988214,
"index": 4,
"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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}",
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"name": "rspv2ErgoRWT",
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{
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],
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"sigmaType": "Coll[SByte]",
"renderedValue": "6576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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}",
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],
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"outputCreatedAt": 1585973,
"outputSettledAt": 1585976,
"ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20375fa034ae65fe2336c7d1d40bf6ec3b0cdb3af7841282a7a41a1812a7ca855b04040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUmvtxr3QSv1aLwThLXxeqYCCc34xjxZDPqPyNGYvWLNeBZxATvBeDuQ6pSiiRFknqmvYVsm9eH4Et3eRHCyxDJEoqZsAahwfVSya34dZNHmjaPQkwWo3Coc17pxiEnWuWmG38wSJz1awE6cymzhojnjxDTbbXgjR1yfYU3AU2v9zttnT8Gz3gUzZNSwjiXSPu3G9zkDaFZVKqb5QwTWY3Pp6SFJgBQfx3C3sp4a9d3n9c98pfWFWAGQN5EfkoHosF8BQTDuzXG3NU8gVCNeNPXYA8iWCbvY3XpxQMvQUxqkjDv9VQfUNvAKVHLW43chi2rdBrQ7Teu6NnesLRWUKXpzSxpByWftkCCdBppjZtYmhhCHqpQGkQyTcMRoP2krFKe7xKbfnFkdkhaYH9TTdKuTuKtGb265RXxiqrc34KvkZpaBBQB5UvoCU4iLSDngNTjqkNPnWekDahzNHLd6CtcdC1B19jdGEXWeNADemDtdK4zrMNg7U8iVpyGYhLDnkeLVrcbhoxkHxrFwfrN19XvitDosQqmt9dseR6SWHBCDZJdmJecCiEwd2wBiwN5N5umEy3Dd4Hznv7kDr6eX7KtYxp",
"assets": [
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 1974,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557",
"sigmaType": "Coll[SByte]",
"renderedValue": "6576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8d813f6f50a55176c402ffb6544399e2d8fd8402bc701a59350b1b4641a7036a",
"transactionId": "76f3a3ba84ad3c42e5532a1b3dac3aa297de01c16751c8ecfa5e1c5121ec792d",
"blockId": "14c3a9e3ce75421b5625ec669b57e3a12e209d6566e2e6ff69804ca82d8c97dd",
"value": 2000000,
"index": 0,
"globalIndex": 49340265,
"creationHeight": 1586121,
"settlementHeight": 1586123,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 15001001,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557",
"sigmaType": "Coll[SByte]",
"renderedValue": "6576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "1b1228d73a03809c0ae7bf2155fd9ae3b0c9b5436e76838c8fab124e34a84575",
"mainChain": true
},
{
"boxId": "ebc1fbb27039828851fe93b8c3fdbece122c53caed031cafb2563a5bbd9bd529",
"transactionId": "76f3a3ba84ad3c42e5532a1b3dac3aa297de01c16751c8ecfa5e1c5121ec792d",
"blockId": "14c3a9e3ce75421b5625ec669b57e3a12e209d6566e2e6ff69804ca82d8c97dd",
"value": 2000000,
"index": 1,
"globalIndex": 49340266,
"creationHeight": 1586121,
"settlementHeight": 1586123,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557",
"sigmaType": "Coll[SByte]",
"renderedValue": "6576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557"
},
"R5": {
"serializedValue": "0e2060e30ed5387e4b9c4c846cf656a22e7be84652ca9ef1f8474fb6f9a587008933",
"sigmaType": "Coll[SByte]",
"renderedValue": "60e30ed5387e4b9c4c846cf656a22e7be84652ca9ef1f8474fb6f9a587008933"
},
"R6": {
"serializedValue": "0e2067446ff7f782a47fdef87b63d79c4ac9258042183938d024b6210da0ecce346a",
"sigmaType": "Coll[SByte]",
"renderedValue": "67446ff7f782a47fdef87b63d79c4ac9258042183938d024b6210da0ecce346a"
},
"R7": {
"serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
}
},
"spentTransactionId": "caceaae707249455f2db49ebe1b7aa2fcdcac8b57def8e1c104472992a7b83c7",
"mainChain": true
},
{
"boxId": "0c5f140bf48613129af72234ceff7bac6b5f4eb3cdd8c3b271c6eadff5ab20a2",
"transactionId": "76f3a3ba84ad3c42e5532a1b3dac3aa297de01c16751c8ecfa5e1c5121ec792d",
"blockId": "14c3a9e3ce75421b5625ec669b57e3a12e209d6566e2e6ff69804ca82d8c97dd",
"value": 5396299668,
"index": 2,
"globalIndex": 49340267,
"creationHeight": 1586121,
"settlementHeight": 1586123,
"ergoTree": "0008cd029c2453d0d679582e1731093102aca568f37a28d3c92c2acdb0de40d27c9aa2cb",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9c2453,369889,...)))}",
"address": "9fhpx5PPY44NqfxasA34QYRJegVhX3C5wAw77U55HadL6gMYH7t",
"assets": [
{
"tokenId": "6576e8c63376413c7590e342bf637a9cfb8c25eecf73edf78ed96d2668e0e557",
"index": 0,
"amount": 3,
"name": "WID-0e557-6gMYH7t",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "1b1228d73a03809c0ae7bf2155fd9ae3b0c9b5436e76838c8fab124e34a84575",
"mainChain": true
},
{
"boxId": "027ad2e1a1226e7fd56ca51451e20c8e5788a9c3babfe16a01fab5231419870c",
"transactionId": "76f3a3ba84ad3c42e5532a1b3dac3aa297de01c16751c8ecfa5e1c5121ec792d",
"blockId": "14c3a9e3ce75421b5625ec669b57e3a12e209d6566e2e6ff69804ca82d8c97dd",
"value": 2000000,
"index": 3,
"globalIndex": 49340268,
"creationHeight": 1586121,
"settlementHeight": 1586123,
"ergoTree": "0008cd029c2453d0d679582e1731093102aca568f37a28d3c92c2acdb0de40d27c9aa2cb",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9c2453,369889,...)))}",
"address": "9fhpx5PPY44NqfxasA34QYRJegVhX3C5wAw77U55HadL6gMYH7t",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 17099,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "b131f92fe32b71066d2f13adcf990450f44a3d8c23034b2eb338d8e202581c27",
"mainChain": true
},
{
"boxId": "aecedbeea6c62ff1c14eb2d397ed6886980bd67dc74267e7d2b3b104d6e84b48",
"transactionId": "76f3a3ba84ad3c42e5532a1b3dac3aa297de01c16751c8ecfa5e1c5121ec792d",
"blockId": "14c3a9e3ce75421b5625ec669b57e3a12e209d6566e2e6ff69804ca82d8c97dd",
"value": 2000000,
"index": 4,
"globalIndex": 49340269,
"creationHeight": 1586121,
"settlementHeight": 1586123,
"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": "716066c4eb7dac8723a728b2303452247fbfa6a3ef447d6412b19f74b755c45e",
"mainChain": true
}
],
"size": 2266,
"isUnconfirmed": false
}