Transaction
ID: a96e7c4d54...dcac
Inputs (3)
Spent
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
12,000.00
Spent
Address:
Output transaction:
Settlement height:
Value:
4.67 ERG
Tokens:
Loading assets...
Spent
Output transaction:
Settlement height:
Value:
0.001974419 ERG
Tokens:
2
3,000
Outputs (5)
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
12,000.00
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.66 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00205 ERG
Transaction Details
Confirmations: 251,004
Total coins transferred: 4.67 ERG
Fees: 0.00205 ERG
Fees per byte: 0.000000947 ERG
Raw Transaction Data
{
"id": "a96e7c4d54d536fe2e19a6aa5b57d00de76e518640a95b3161072a2de5acdcac",
"blockId": "7e1a6d34e7312f265ad02b49950a37d042b6a071c208b08918632857bb13a460",
"inclusionHeight": 1526586,
"timestamp": 1747441475853,
"index": 15,
"globalIndex": 8973312,
"numConfirmations": 251004,
"inputs": [
{
"boxId": "c746b02b75a8d88ad90f3bf061b831d67e87e2038223c51fbb28bd824e9f49ac",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "ef6a317258aea41c0828a7bc02ab876c4ae5d3bd8e55ea3bc3a942b991ad11b2",
"outputTransactionId": "06c0925286bf461ca77bfce685b56b25ef1ae3008a956f7836a6dbe3ac851b49",
"outputIndex": 0,
"outputGlobalIndex": 47901365,
"outputCreatedAt": 1526111,
"outputSettledAt": 1526113,
"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(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 12000001,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0",
"sigmaType": "Coll[SByte]",
"renderedValue": "1de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "4354d0ea9eabe4789a28278efef296bd5c31c93d160ea372fe515a250a2d8a11",
"value": 4667360989,
"index": 1,
"spendingProof": "10741d8e277feabad6de4501308a8b2a12688cf20ac224c3566b95c32a2c6cc5f4e5828ae0c0cb2b60973679bfeb404a15301fd8c9cef09d",
"outputBlockId": "042dd9bac69a996d7d1d8e57ec94f3abdd56b394562a2d2fbcc8dcd5b096b9a6",
"outputTransactionId": "12eb34ed1970310a08d260c22f5fd51629835ebf0e2f18322993299a18f7bd0d",
"outputIndex": 1,
"outputGlobalIndex": 47902539,
"outputCreatedAt": 1526124,
"outputSettledAt": 1526126,
"ergoTree": "0008cd02ab7ff2d4d61dc5c565846dcb8dfe7ebcd3add013239f05b358b42857da9de06b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ab7ff2,fa9ed1,...)))}",
"address": "9fpbFHtHwgSioMeCvMptHf4mZcGMQHxbuKTJAD2HZZK3dH8bA6p",
"assets": [
{
"tokenId": "1de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0",
"index": 0,
"amount": 3,
"name": "WID-ea3d0-dH8bA6p",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 999,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 2,
"amount": 2075,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "87ab1db35b508a196493ad25414eb581d5f925f76e5799efe599071c3c90ffcb",
"value": 1974419,
"index": 2,
"spendingProof": null,
"outputBlockId": "6030ee83004c2a9b6b6671455bffd2b980536741cc4f97950ac29e95251c1575",
"outputTransactionId": "ea689911f52cb9597332db8a2f046913aeb6f459636194f8d4d9787bd5c2a81f",
"outputIndex": 0,
"outputGlobalIndex": 47902699,
"outputCreatedAt": 1526135,
"outputSettledAt": 1526137,
"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(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 2244,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0",
"sigmaType": "Coll[SByte]",
"renderedValue": "1de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "3b0c630f7134dd1b2e82d75b084ded8630a58c8ecf5c12c1a9c64bacb9f4967e",
"transactionId": "a96e7c4d54d536fe2e19a6aa5b57d00de76e518640a95b3161072a2de5acdcac",
"blockId": "7e1a6d34e7312f265ad02b49950a37d042b6a071c208b08918632857bb13a460",
"value": 2000000,
"index": 0,
"globalIndex": 47911535,
"creationHeight": 1526584,
"settlementHeight": 1526586,
"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(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 12000001,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0",
"sigmaType": "Coll[SByte]",
"renderedValue": "1de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "43fd447d821817e4fe3de3df3ea09de88ff1d46f94f338a48b8ba1446f94016d",
"mainChain": true
},
{
"boxId": "894807f135df871f0db31b5041e172fc4e3536a9d6bbef6c84bf993a33fc3a96",
"transactionId": "a96e7c4d54d536fe2e19a6aa5b57d00de76e518640a95b3161072a2de5acdcac",
"blockId": "7e1a6d34e7312f265ad02b49950a37d042b6a071c208b08918632857bb13a460",
"value": 2000000,
"index": 1,
"globalIndex": 47911536,
"creationHeight": 1526584,
"settlementHeight": 1526586,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0",
"sigmaType": "Coll[SByte]",
"renderedValue": "1de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0"
},
"R5": {
"serializedValue": "0e20377be60c737a9e0127c8ebf71702c56aefdf0c1cdfb564dc0baa8931d2c9ddad",
"sigmaType": "Coll[SByte]",
"renderedValue": "377be60c737a9e0127c8ebf71702c56aefdf0c1cdfb564dc0baa8931d2c9ddad"
},
"R6": {
"serializedValue": "0e209f2ac96ae230ae37c16768acac446ecbbef0eb57efb676b77fc6a81e1aae53cf",
"sigmaType": "Coll[SByte]",
"renderedValue": "9f2ac96ae230ae37c16768acac446ecbbef0eb57efb676b77fc6a81e1aae53cf"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
},
"spentTransactionId": "3c0921e059541a83a8d3bebac677edf2c5d038ca07624deb1b90059267969a27",
"mainChain": true
},
{
"boxId": "537170a4c3d573b649c2c7b2c9869919424cd663bfd08eea1b890fba60fee66d",
"transactionId": "a96e7c4d54d536fe2e19a6aa5b57d00de76e518640a95b3161072a2de5acdcac",
"blockId": "7e1a6d34e7312f265ad02b49950a37d042b6a071c208b08918632857bb13a460",
"value": 4663285408,
"index": 2,
"globalIndex": 47911537,
"creationHeight": 1526584,
"settlementHeight": 1526586,
"ergoTree": "0008cd02ab7ff2d4d61dc5c565846dcb8dfe7ebcd3add013239f05b358b42857da9de06b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ab7ff2,fa9ed1,...)))}",
"address": "9fpbFHtHwgSioMeCvMptHf4mZcGMQHxbuKTJAD2HZZK3dH8bA6p",
"assets": [
{
"tokenId": "1de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0",
"index": 0,
"amount": 3,
"name": "WID-ea3d0-dH8bA6p",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "24c7b712a7800eae569f7a26ec2d40f15d6d3b0ca78673671bc66314445859fb",
"mainChain": true
},
{
"boxId": "45982edf2b98f89c17a81c69adcb6add4549f1dd98bdebb746a5b081a90648ad",
"transactionId": "a96e7c4d54d536fe2e19a6aa5b57d00de76e518640a95b3161072a2de5acdcac",
"blockId": "7e1a6d34e7312f265ad02b49950a37d042b6a071c208b08918632857bb13a460",
"value": 2000000,
"index": 3,
"globalIndex": 47911538,
"creationHeight": 1526584,
"settlementHeight": 1526586,
"ergoTree": "0008cd02ab7ff2d4d61dc5c565846dcb8dfe7ebcd3add013239f05b358b42857da9de06b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ab7ff2,fa9ed1,...)))}",
"address": "9fpbFHtHwgSioMeCvMptHf4mZcGMQHxbuKTJAD2HZZK3dH8bA6p",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 999,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 4319,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "24c7b712a7800eae569f7a26ec2d40f15d6d3b0ca78673671bc66314445859fb",
"mainChain": true
},
{
"boxId": "588e0f889c3e3ba943f2b1221eb8ca241bce398aab0b5ef9ff01e141a3a04a49",
"transactionId": "a96e7c4d54d536fe2e19a6aa5b57d00de76e518640a95b3161072a2de5acdcac",
"blockId": "7e1a6d34e7312f265ad02b49950a37d042b6a071c208b08918632857bb13a460",
"value": 2050000,
"index": 4,
"globalIndex": 47911539,
"creationHeight": 1526584,
"settlementHeight": 1526586,
"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": "2ece66fb82ffba2dc3cb31f4b209851985f8b53be0fd94a7a48b165914d6b3c0",
"mainChain": true
}
],
"size": 2164,
"isUnconfirmed": false
}