Transaction
ID: 532b3c7070...6cd3
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
3 ERG
Tokens:
20,100,000
Outputs (6)
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:
0.0011 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
1 ERG
Tokens:
2,000,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2 ERG
Tokens:
18,090,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 714,137
Total coins transferred: 3 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000472 ERG
Raw Transaction Data
{
"id": "532b3c70709406332b5f0764eec39fb63eddf8946a158fbd52d768c35cc86cd3",
"blockId": "8ea05bf609601421420da302ebdcedf6ccedd4ef9c9c535a8f77c1501979a9d0",
"inclusionHeight": 1046816,
"timestamp": 1689324403449,
"index": 1,
"globalIndex": 5521351,
"numConfirmations": 714137,
"inputs": [
{
"boxId": "1db8e5a389490f1bcb8e17dfd414d6251d1f3707d38a1361d7a2045764d281fe",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "deba5510e520d99143468d4a9346a8dc1084d13f64d0a39307c4a20c394c979c",
"outputTransactionId": "a6aff5d097b2d75d28c4daed71642ad314a1187e52388cea4a6ad98a40fbecd5",
"outputIndex": 0,
"outputGlobalIndex": 30932886,
"outputCreatedAt": 1046776,
"outputSettledAt": 1046778,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-58,-111,-73,91,19,119,82,-32,-4,-67,89,11,-103,66,-54,36,85,-11,40,-37,-114,85,59,-122,50,-104,-116,85,94,-17,43,-60)\n3: Coll(121,61,108,86,111,35,-116,-46,52,23,111,112,7,-79,-27,12,46,90,-28,54,123,102,-125,81,69,30,-58,-55,-23,-23,124,-87)\n4: true\n5: 1\n6: 1\n7: 2\n8: 2\n9: 0\n10: -1\n11: 1\n12: 2\n13: 0\n14: Coll(19,121,-124,-94,-97,-48,-121,40,-93,112,-116,71,90,113,93,8,-21,-58,-23,125,-45,55,99,35,66,-48,-46,-89,-57,-35,13,115)\n15: -1\n16: 1\n17: 1\n18: 3\n19: 5\n20: 0\n21: 0\n22: 0\n23: 4\n24: 0\n25: 0\n26: true\n27: 1\n28: 1\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3",
"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 = placeholder[Coll[Byte]](2)\n if (coll4 == placeholder[Coll[Byte]](3)) { sigmaProp(placeholder[Boolean](4)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](5))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](6))\n val l10 = tuple9._2\n val tuple11 = coll2(placeholder[Int](7))\n val l12 = tuple11._2\n val tuple13 = coll6(placeholder[Int](8))\n val l14 = tuple13._2\n val coll15 = SELF.R6[Coll[Long]].get\n val tuple16 = coll6(placeholder[Int](9))\n val coll17 = tuple13._1\n val bool18 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.R6[\n Coll[Long]\n ].get == coll15, coll4 == tuple16._1, tuple3._2 == tuple16._2, tuple9._1 == tuple7._1, tuple11._1 == coll17\n )\n )\n val coll19 = SELF.R5[Coll[Long]].get\n val i20 = coll19.size\n val coll21 = box1.R5[Coll[Long]].get\n val i22 = coll21.size\n if (l8 > l10) {(\n val i23 = box1.R7[Int].getOrElse(placeholder[Int](10))\n val l24 = l8 - l10\n val box25 = OUTPUTS(placeholder[Int](11))\n val box26 = OUTPUTS(placeholder[Int](12))\n val bool27 = allOf(\n Coll[Boolean](bool18, l24 == l12 - l14, box25.tokens(placeholder[Int](13))._2 == l24, blake2b256(box25.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (i23 == placeholder[Int](15)) {(\n val coll28 = box1.R4[Coll[Coll[Byte]]].get\n val i29 = i20 + placeholder[Int](16)\n val i30 = i22 - placeholder[Int](17)\n val coll31 = SELF.id\n val box32 = OUTPUTS(placeholder[Int](18))\n val l33 = coll15(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool27, coll28.size == i29, coll28.slice(placeholder[Int](20), i30) == SELF.R4[Coll[Coll[Byte]]].get, coll28(\n i30\n ) == coll31, i22 == i29, coll21.slice(placeholder[Int](21), i30) == coll19, coll21(i30) == l24, box25.R4[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](coll31), box26.tokens(placeholder[Int](22))._1 == coll31, blake2b256(box32.propositionBytes) == coll5, box32.R4[\n Coll[Byte]\n ].get == coll31, box32.value >= coll15(placeholder[Int](23)), if (l33 > placeholder[Long](24)) {(\n val tuple34 = box32.tokens(placeholder[Int](25))\n allOf(Coll[Boolean](tuple34._1 == coll17, tuple34._2 >= l33))\n )} else { placeholder[Boolean](26) }\n )\n )\n )\n )} else {(\n val coll28 = SELF.R4[Coll[Coll[Byte]]].get\n val coll29 = coll28(i23)\n val i30 = i23 + placeholder[Int](27)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool27, coll29 == INPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._1, box1.R4[Coll[Coll[Byte]]].get == coll28, coll21(i23) == coll19(\n i23\n ) + l24, coll21.slice(placeholder[Int](30), i23) == coll19.slice(placeholder[Int](31), i23), coll21.slice(i30, i22) == coll19.slice(\n i30, i22\n ), box25.R4[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](coll29), box26.tokens(placeholder[Int](32))._1 == coll29\n )\n )\n )\n )}\n )} else {(\n val i23 = box1.R7[Int].get\n val l24 = l10 - l8\n val l25 = coll19(i23)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool18, Coll[Coll[Byte]](SELF.R4[Coll[Coll[Byte]]].get(i23)) == INPUTS(placeholder[Int](33)).R4[\n Coll[Coll[Byte]]\n ].get, l24 == l14 - l12, if (l25 > l24) {(\n val i26 = i23 + placeholder[Int](34)\n allOf(\n Coll[Boolean](\n l25 == coll21(i23) + l24, SELF.R4[Coll[Coll[Byte]]].get == box1.R4[Coll[Coll[Byte]]].get, coll19.slice(\n placeholder[Int](35), i23\n ) == coll21.slice(placeholder[Int](36), i23), coll19.slice(i26, i20) == coll21.slice(i26, i20)\n )\n )\n )} else {(\n val coll26 = SELF.R4[Coll[Coll[Byte]]].get\n val coll27 = box1.R4[Coll[Coll[Byte]]].get\n val i28 = i23 + placeholder[Int](37)\n val i29 = i20 - placeholder[Int](38)\n allOf(\n Coll[Boolean](\n l25 == l24, coll26.slice(placeholder[Int](39), i23) == coll27.slice(placeholder[Int](40), i23), coll26.slice(i28, i20) == coll27.slice(\n i23, i29\n ), coll19.slice(placeholder[Int](41), i23) == coll21.slice(placeholder[Int](42), i23), coll19.slice(i28, i20) == coll21.slice(\n i23, i29\n ), blake2b256(INPUTS(placeholder[Int](43)).propositionBytes) == coll5\n )\n )\n )}\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "32ee5d947cfe8db5480157ffa566b9b7d9faf41fa145c9d00628c7c1599878f6",
"index": 0,
"amount": 1,
"name": "rptconfRWTRepoV1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "36afc697123a9ab2b8fcc220c0a8031f5933a06998683a17f931435dbb45f253",
"index": 1,
"amount": 999960000000,
"name": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 2,
"amount": 40000001,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a040763617264616e6f20143d16a70d742c065738439cd0b00ae64bc3e1ae2647277f1b746e411f582cba200d1661fab46180353cd01b5b88176f278b8609e1cecc2e3f5cc1e2582615ba1820db6dc2e82fe45bcd43f92386a12df41bef815ef6713267754ff3043e48b3f43e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,143d16a70d742c065738439cd0b00ae64bc3e1ae2647277f1b746e411f582cba,0d1661fab46180353cd01b5b88176f278b8609e1cecc2e3f5cc1e2582615ba18,db6dc2e82fe45bcd43f92386a12df41bef815ef6713267754ff3043e48b3f43e]"
},
"R5": {
"serializedValue": "11040080b4891380dac40980dac409",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,20000000,10000000,10000000]"
},
"R6": {
"serializedValue": "1106a09c018c01022880a8d6b90780d0acf30e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,70,1,20,1000000000,2000000000]"
}
}
},
{
"boxId": "ebc2879768888c517d85ff2437b237c56303f37c731b976f0389069f13c04486",
"value": 3000000000,
"index": 1,
"spendingProof": "b7690d1f2bea964db06c7c9dbc8ee63893c4d3f9f27fcc0963caea5cb8d83bc598efd6421bd54edc0ddf8a0a395c8e7af964d9e375dd47c5",
"outputBlockId": "5f8ef231d1f2f09975abbc7496520065955e1dbbff5a5f7996dc3e030739f711",
"outputTransactionId": "61ac331fc0b84fff772d09949ddb3b4c26ef9fbc993414d182bb39c2e1d80f33",
"outputIndex": 1,
"outputGlobalIndex": 30910074,
"outputCreatedAt": 1046250,
"outputSettledAt": 1046252,
"ergoTree": "0008cd03019c95e931b44d66e6d870d120988214c85cd329a7c20a33d56c1ca4aae5f1e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19c95e,47ae87,...)))}",
"address": "9gUWrnaB7dG9CvLhv9A7CYSySmWkrjzWzjBeejzF6cPHF5hVU4W",
"assets": [
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 0,
"amount": 20100000000,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "23152a40001d97709623d31029acfc5374df08f27fab050b3844b02bc8d0743e",
"transactionId": "532b3c70709406332b5f0764eec39fb63eddf8946a158fbd52d768c35cc86cd3",
"blockId": "8ea05bf609601421420da302ebdcedf6ccedd4ef9c9c535a8f77c1501979a9d0",
"value": 1100000,
"index": 0,
"globalIndex": 30934058,
"creationHeight": 1046811,
"settlementHeight": 1046816,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-58,-111,-73,91,19,119,82,-32,-4,-67,89,11,-103,66,-54,36,85,-11,40,-37,-114,85,59,-122,50,-104,-116,85,94,-17,43,-60)\n3: Coll(121,61,108,86,111,35,-116,-46,52,23,111,112,7,-79,-27,12,46,90,-28,54,123,102,-125,81,69,30,-58,-55,-23,-23,124,-87)\n4: true\n5: 1\n6: 1\n7: 2\n8: 2\n9: 0\n10: -1\n11: 1\n12: 2\n13: 0\n14: Coll(19,121,-124,-94,-97,-48,-121,40,-93,112,-116,71,90,113,93,8,-21,-58,-23,125,-45,55,99,35,66,-48,-46,-89,-57,-35,13,115)\n15: -1\n16: 1\n17: 1\n18: 3\n19: 5\n20: 0\n21: 0\n22: 0\n23: 4\n24: 0\n25: 0\n26: true\n27: 1\n28: 1\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3",
"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 = placeholder[Coll[Byte]](2)\n if (coll4 == placeholder[Coll[Byte]](3)) { sigmaProp(placeholder[Boolean](4)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](5))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](6))\n val l10 = tuple9._2\n val tuple11 = coll2(placeholder[Int](7))\n val l12 = tuple11._2\n val tuple13 = coll6(placeholder[Int](8))\n val l14 = tuple13._2\n val coll15 = SELF.R6[Coll[Long]].get\n val tuple16 = coll6(placeholder[Int](9))\n val coll17 = tuple13._1\n val bool18 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.R6[\n Coll[Long]\n ].get == coll15, coll4 == tuple16._1, tuple3._2 == tuple16._2, tuple9._1 == tuple7._1, tuple11._1 == coll17\n )\n )\n val coll19 = SELF.R5[Coll[Long]].get\n val i20 = coll19.size\n val coll21 = box1.R5[Coll[Long]].get\n val i22 = coll21.size\n if (l8 > l10) {(\n val i23 = box1.R7[Int].getOrElse(placeholder[Int](10))\n val l24 = l8 - l10\n val box25 = OUTPUTS(placeholder[Int](11))\n val box26 = OUTPUTS(placeholder[Int](12))\n val bool27 = allOf(\n Coll[Boolean](bool18, l24 == l12 - l14, box25.tokens(placeholder[Int](13))._2 == l24, blake2b256(box25.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (i23 == placeholder[Int](15)) {(\n val coll28 = box1.R4[Coll[Coll[Byte]]].get\n val i29 = i20 + placeholder[Int](16)\n val i30 = i22 - placeholder[Int](17)\n val coll31 = SELF.id\n val box32 = OUTPUTS(placeholder[Int](18))\n val l33 = coll15(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool27, coll28.size == i29, coll28.slice(placeholder[Int](20), i30) == SELF.R4[Coll[Coll[Byte]]].get, coll28(\n i30\n ) == coll31, i22 == i29, coll21.slice(placeholder[Int](21), i30) == coll19, coll21(i30) == l24, box25.R4[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](coll31), box26.tokens(placeholder[Int](22))._1 == coll31, blake2b256(box32.propositionBytes) == coll5, box32.R4[\n Coll[Byte]\n ].get == coll31, box32.value >= coll15(placeholder[Int](23)), if (l33 > placeholder[Long](24)) {(\n val tuple34 = box32.tokens(placeholder[Int](25))\n allOf(Coll[Boolean](tuple34._1 == coll17, tuple34._2 >= l33))\n )} else { placeholder[Boolean](26) }\n )\n )\n )\n )} else {(\n val coll28 = SELF.R4[Coll[Coll[Byte]]].get\n val coll29 = coll28(i23)\n val i30 = i23 + placeholder[Int](27)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool27, coll29 == INPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._1, box1.R4[Coll[Coll[Byte]]].get == coll28, coll21(i23) == coll19(\n i23\n ) + l24, coll21.slice(placeholder[Int](30), i23) == coll19.slice(placeholder[Int](31), i23), coll21.slice(i30, i22) == coll19.slice(\n i30, i22\n ), box25.R4[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](coll29), box26.tokens(placeholder[Int](32))._1 == coll29\n )\n )\n )\n )}\n )} else {(\n val i23 = box1.R7[Int].get\n val l24 = l10 - l8\n val l25 = coll19(i23)\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool18, Coll[Coll[Byte]](SELF.R4[Coll[Coll[Byte]]].get(i23)) == INPUTS(placeholder[Int](33)).R4[\n Coll[Coll[Byte]]\n ].get, l24 == l14 - l12, if (l25 > l24) {(\n val i26 = i23 + placeholder[Int](34)\n allOf(\n Coll[Boolean](\n l25 == coll21(i23) + l24, SELF.R4[Coll[Coll[Byte]]].get == box1.R4[Coll[Coll[Byte]]].get, coll19.slice(\n placeholder[Int](35), i23\n ) == coll21.slice(placeholder[Int](36), i23), coll19.slice(i26, i20) == coll21.slice(i26, i20)\n )\n )\n )} else {(\n val coll26 = SELF.R4[Coll[Coll[Byte]]].get\n val coll27 = box1.R4[Coll[Coll[Byte]]].get\n val i28 = i23 + placeholder[Int](37)\n val i29 = i20 - placeholder[Int](38)\n allOf(\n Coll[Boolean](\n l25 == l24, coll26.slice(placeholder[Int](39), i23) == coll27.slice(placeholder[Int](40), i23), coll26.slice(i28, i20) == coll27.slice(\n i23, i29\n ), coll19.slice(placeholder[Int](41), i23) == coll21.slice(placeholder[Int](42), i23), coll19.slice(i28, i20) == coll21.slice(\n i23, i29\n ), blake2b256(INPUTS(placeholder[Int](43)).propositionBytes) == coll5\n )\n )\n )}\n )\n )\n )\n )}\n )}\n}",
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"name": "rptconfRWTRepoV1",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,143d16a70d742c065738439cd0b00ae64bc3e1ae2647277f1b746e411f582cba,0d1661fab46180353cd01b5b88176f278b8609e1cecc2e3f5cc1e2582615ba18,db6dc2e82fe45bcd43f92386a12df41bef815ef6713267754ff3043e48b3f43e,1db8e5a389490f1bcb8e17dfd414d6251d1f3707d38a1361d7a2045764d281fe]"
},
"R5": {
"serializedValue": "11050080b4891380dac40980dac40980dac409",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,20000000,10000000,10000000,10000000]"
},
"R6": {
"serializedValue": "1106a09c018c01022880a8d6b90780d0acf30e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,70,1,20,1000000000,2000000000]"
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{
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"index": 1,
"globalIndex": 30934059,
"creationHeight": 1046811,
"settlementHeight": 1046816,
"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(-32,-78,-84,7,-55,36,-13,-7,101,-47,-39,-124,65,-96,41,101,15,-124,-42,-101,1,16,66,-45,48,-29,-74,117,-102,24,-15,-76)\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": "rptconfCardanoRWTV1",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1db8e5a389490f1bcb8e17dfd414d6251d1f3707d38a1361d7a2045764d281fe]"
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"value": 1100000,
"index": 2,
"globalIndex": 30934060,
"creationHeight": 1046811,
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"ergoTree": "0008cd03019c95e931b44d66e6d870d120988214c85cd329a7c20a33d56c1ca4aae5f1e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19c95e,47ae87,...)))}",
"address": "9gUWrnaB7dG9CvLhv9A7CYSySmWkrjzWzjBeejzF6cPHF5hVU4W",
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"name": null,
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"type": null
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"mainChain": true
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{
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"value": 1000000000,
"index": 3,
"globalIndex": 30934061,
"creationHeight": 1046811,
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"ergoTree": "10070400040004010404040004000e2032ee5d947cfe8db5480157ffa566b9b7d9faf41fa145c9d00628c7c1599878f6d805d601e4c6a7040ed602b2a4730000d603b2a5730100d604e5c6720307047302d605e4c67203041ad196830401938cb2db6308b2a473030073040001720193b2e4c67202041a7204007201ec93b17205720494b272057204007201938cb2db63087202730500017306",
"ergoTreeConstants": "0: 0\n1: 0\n2: -1\n3: 2\n4: 0\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)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val box2 = INPUTS(placeholder[Int](0))\n val box3 = OUTPUTS(placeholder[Int](1))\n val i4 = box3.R7[Int].getOrElse(placeholder[Int](2))\n val coll5 = box3.R4[Coll[Coll[Byte]]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == coll1, box2.R4[Coll[Coll[Byte]]].get(i4) == coll1, (coll5.size == i4) || (\n coll5(i4) != coll1\n ), box2.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)\n )\n )\n )\n}",
"address": "2DxRv75maq3FewTq4mCgRzJ7kUjfUTz9QmtoTUXpRLJLPDjxhxMzEWKKQ4qBgDCuRumVWLs3ANP2pTU4a8qSxeBkm8K5dqcXi2DCyd4EM6gZijm47DYDmdjsJwtQFHziyRNq2asQuWfBb5R33z3fV826Cx4K9FKNf6t5558TDdB1Zo7z4eWUEn8LWZRtBjuGXz6TtxTu1A758c689cP6jVYxq",
"assets": [
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 0,
"amount": 2000000000,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201db8e5a389490f1bcb8e17dfd414d6251d1f3707d38a1361d7a2045764d281fe",
"sigmaType": "Coll[SByte]",
"renderedValue": "1db8e5a389490f1bcb8e17dfd414d6251d1f3707d38a1361d7a2045764d281fe"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "3643e144c36e6c5f6b329d19d79c5da0b41bb832a5675694a5df7033b1badcf8",
"transactionId": "532b3c70709406332b5f0764eec39fb63eddf8946a158fbd52d768c35cc86cd3",
"blockId": "8ea05bf609601421420da302ebdcedf6ccedd4ef9c9c535a8f77c1501979a9d0",
"value": 1996700000,
"index": 4,
"globalIndex": 30934062,
"creationHeight": 1046811,
"settlementHeight": 1046816,
"ergoTree": "0008cd03019c95e931b44d66e6d870d120988214c85cd329a7c20a33d56c1ca4aae5f1e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19c95e,47ae87,...)))}",
"address": "9gUWrnaB7dG9CvLhv9A7CYSySmWkrjzWzjBeejzF6cPHF5hVU4W",
"assets": [
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 0,
"amount": 18090000000,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "2d60cd0995332b81c9c10ac099f9c76c4e9f1a5e5e45bcf26d258c8e1f875dd5",
"mainChain": true
},
{
"boxId": "afc8d876d4f574e57ea64bf98fd9c90d8c334cc590ccf0ffbf03b14ed729a44a",
"transactionId": "532b3c70709406332b5f0764eec39fb63eddf8946a158fbd52d768c35cc86cd3",
"blockId": "8ea05bf609601421420da302ebdcedf6ccedd4ef9c9c535a8f77c1501979a9d0",
"value": 1100000,
"index": 5,
"globalIndex": 30934063,
"creationHeight": 1046811,
"settlementHeight": 1046816,
"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": "cf148580df3a4874530046b7b8c677bc93ba5cd21b7ea50cd5c69df47361f833",
"mainChain": true
}
],
"size": 2331,
"isUnconfirmed": false
}