Transaction
ID: c90576e4c8...3322
Inputs (5)
Spent
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000.01
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0020195 ERG
Tokens:
Loading assets...
Spent
Output transaction:
Settlement height:
Value:
0.001991538 ERG
Tokens:
2
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Outputs (5)
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000.01
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002011038 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 364,533
Total coins transferred: 0.010011038 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000854 ERG
Raw Transaction Data
{
"id": "c90576e4c8a79b141bb06fcdf1df2d0d93ef6714e625098f7e42ff02248d3322",
"blockId": "091a2545edddcc3f8c8ff31477dd5850c5b6c8369e42193cc12d82050e17a161",
"inclusionHeight": 1410879,
"timestamp": 1733444039603,
"index": 40,
"globalIndex": 8191230,
"numConfirmations": 364533,
"inputs": [
{
"boxId": "716d2a6bfcd483c09849cd022efaddd98a2bcb97edc652488cd5666bd433378e",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "e7787262376d55a14ffcccfeaffdafae356a1b52435a6c60da6bb1fda453a382",
"outputTransactionId": "bf86f8326c6f8dc40a2bb9ae26306c4295d90eb23354c368f3713599df9d2cbb",
"outputIndex": 0,
"outputGlobalIndex": 44506377,
"outputCreatedAt": 1410867,
"outputSettledAt": 1410871,
"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": 3000013,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2019b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29",
"sigmaType": "Coll[SByte]",
"renderedValue": "19b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "76630522993710c703dec14613733a8474177932b92e0f312226404a78ba611b",
"value": 2019500,
"index": 1,
"spendingProof": "aba64c6f88d3de15e3980cc0a430ebd502efe2f22d4a8a0161bd1a71facddde3123814b23723f644e30f0cd291cc31a0bba40d6fd417bf03",
"outputBlockId": "e7787262376d55a14ffcccfeaffdafae356a1b52435a6c60da6bb1fda453a382",
"outputTransactionId": "bf86f8326c6f8dc40a2bb9ae26306c4295d90eb23354c368f3713599df9d2cbb",
"outputIndex": 2,
"outputGlobalIndex": 44506379,
"outputCreatedAt": 1410867,
"outputSettledAt": 1410871,
"ergoTree": "0008cd03d4fa3602727f8f67cf9e9a7b08e0dd885f28f54225defb07fee0262e20fd258b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d4fa36,512bf6,...)))}",
"address": "9i5buuMfnPpXZyemssrDh9WYUitob6ZwexVsgpnsELDkj5efKwU",
"assets": [
{
"tokenId": "19b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29",
"index": 0,
"amount": 2,
"name": "WID-f7c29-j5efKwU",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "64c74415e4533f39c0a7a471f75c4c95914b32c41bbd45632852df27ebb5b663",
"value": 1991538,
"index": 2,
"spendingProof": null,
"outputBlockId": "bfe34ec0b352dc0b82694cf2bc4309107e1f8e3d2283c0cd9fb88f477342a7b2",
"outputTransactionId": "471861ae5086e59f5119edf2df903b4a92a29a845e0f2c645e3e7fac39106f37",
"outputIndex": 99,
"outputGlobalIndex": 44506704,
"outputCreatedAt": 1410868,
"outputSettledAt": 1410875,
"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": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 2469,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2019b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29",
"sigmaType": "Coll[SByte]",
"renderedValue": "19b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29"
}
}
},
{
"boxId": "de4da7836b690348f96556b3156eaf618f7f33f9b79c02796c5da473ac7a1384",
"value": 2000000,
"index": 3,
"spendingProof": "4face4926f2c5a56112474caab08e35f11f3b20a1788d4f2e9e13de45372ff5f616c7b2f9abb47b669bf70376bdb6e91e93e45cd57bf896d",
"outputBlockId": "e7787262376d55a14ffcccfeaffdafae356a1b52435a6c60da6bb1fda453a382",
"outputTransactionId": "bf86f8326c6f8dc40a2bb9ae26306c4295d90eb23354c368f3713599df9d2cbb",
"outputIndex": 3,
"outputGlobalIndex": 44506380,
"outputCreatedAt": 1410867,
"outputSettledAt": 1410871,
"ergoTree": "0008cd03d4fa3602727f8f67cf9e9a7b08e0dd885f28f54225defb07fee0262e20fd258b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d4fa36,512bf6,...)))}",
"address": "9i5buuMfnPpXZyemssrDh9WYUitob6ZwexVsgpnsELDkj5efKwU",
"assets": [
{
"tokenId": "72f431450530aa0b750918d23ba5f891f08e4840cc37fdc64745a3c3c1353ce8",
"index": 0,
"amount": 28,
"name": "TRUMP 2024",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 5760,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "1d3c6b89024ff47cdc4e049862903b6a69e7fc63941b7ac0ba8a7afd141b8996",
"value": 2000000,
"index": 4,
"spendingProof": "111b68e971ab0a6b0394701cf91cb01fb8b8bfb6b979b44930f8ae76222209a8c63595db2bd1d9fc64e9769aa3926231f95b5101089091a4",
"outputBlockId": "f9ab6fa4a5306953c5ca9719833b4270284727901e487bfe8bf058d81b60f5dc",
"outputTransactionId": "b221a758468430b2fe26b4ddb745c0c6100361b645c83faee95737ff71bbc27f",
"outputIndex": 3,
"outputGlobalIndex": 44460919,
"outputCreatedAt": 1409836,
"outputSettledAt": 1409840,
"ergoTree": "0008cd03d4fa3602727f8f67cf9e9a7b08e0dd885f28f54225defb07fee0262e20fd258b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d4fa36,512bf6,...)))}",
"address": "9i5buuMfnPpXZyemssrDh9WYUitob6ZwexVsgpnsELDkj5efKwU",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 515,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "f3b044ac1e0f3301ac0415e9d4e3c03bb0050cf8d84440477068e37a4f8c2d5f",
"transactionId": "c90576e4c8a79b141bb06fcdf1df2d0d93ef6714e625098f7e42ff02248d3322",
"blockId": "091a2545edddcc3f8c8ff31477dd5850c5b6c8369e42193cc12d82050e17a161",
"value": 2000000,
"index": 0,
"globalIndex": 44507332,
"creationHeight": 1410875,
"settlementHeight": 1410879,
"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}",
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"assets": [
{
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"index": 0,
"amount": 3000013,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2019b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29",
"sigmaType": "Coll[SByte]",
"renderedValue": "19b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "537c6d2b1f209d3249e39dcd88b97ac71adf938bf68a58bc6c2566303636aa24",
"mainChain": true
},
{
"boxId": "627dfb83ec7d4975b2355dfdedc82263eed7976a32615e739b3d4d9357dd182d",
"transactionId": "c90576e4c8a79b141bb06fcdf1df2d0d93ef6714e625098f7e42ff02248d3322",
"blockId": "091a2545edddcc3f8c8ff31477dd5850c5b6c8369e42193cc12d82050e17a161",
"value": 2000000,
"index": 1,
"globalIndex": 44507333,
"creationHeight": 1410875,
"settlementHeight": 1410879,
"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}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
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"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "19b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "c006457980025dd2172200807ff3891048aaf25e665a7f1195dc37b16e256807"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0c65a94454216bd756b23e9f7a4debe3cf9c71036a5a161d3899505798227d75"
},
"R7": {
"serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
}
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"spentTransactionId": "28e27a9162a11fcc190d2f8f565faa2c3451c4f22b4a57f7f875dc97795aa793",
"mainChain": true
},
{
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"transactionId": "c90576e4c8a79b141bb06fcdf1df2d0d93ef6714e625098f7e42ff02248d3322",
"blockId": "091a2545edddcc3f8c8ff31477dd5850c5b6c8369e42193cc12d82050e17a161",
"value": 2011038,
"index": 2,
"globalIndex": 44507334,
"creationHeight": 1410875,
"settlementHeight": 1410879,
"ergoTree": "0008cd03d4fa3602727f8f67cf9e9a7b08e0dd885f28f54225defb07fee0262e20fd258b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d4fa36,512bf6,...)))}",
"address": "9i5buuMfnPpXZyemssrDh9WYUitob6ZwexVsgpnsELDkj5efKwU",
"assets": [
{
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"index": 0,
"amount": 2,
"name": "WID-f7c29-j5efKwU",
"decimals": 0,
"type": "EIP-004"
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"additionalRegisters": {},
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"mainChain": true
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{
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"blockId": "091a2545edddcc3f8c8ff31477dd5850c5b6c8369e42193cc12d82050e17a161",
"value": 2000000,
"index": 3,
"globalIndex": 44507335,
"creationHeight": 1410875,
"settlementHeight": 1410879,
"ergoTree": "0008cd03d4fa3602727f8f67cf9e9a7b08e0dd885f28f54225defb07fee0262e20fd258b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d4fa36,512bf6,...)))}",
"address": "9i5buuMfnPpXZyemssrDh9WYUitob6ZwexVsgpnsELDkj5efKwU",
"assets": [
{
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"index": 0,
"amount": 8744,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
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{
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"name": "TRUMP 2024",
"decimals": 0,
"type": "EIP-004"
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"additionalRegisters": {},
"spentTransactionId": "27a33fba0e241a592719a8a6c4ecd7c97572924e216f4c340f1cec8200d4d6e3",
"mainChain": true
},
{
"boxId": "9b5fe5336b0b69a19171e857c248ae922c8dbdeafdc953e526f2def1343bb1ce",
"transactionId": "c90576e4c8a79b141bb06fcdf1df2d0d93ef6714e625098f7e42ff02248d3322",
"blockId": "091a2545edddcc3f8c8ff31477dd5850c5b6c8369e42193cc12d82050e17a161",
"value": 2000000,
"index": 4,
"globalIndex": 44507336,
"creationHeight": 1410875,
"settlementHeight": 1410879,
"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": "66637738d3b5fbaae3074ecfe90af17910eb989415011048648dd39c6b73a086",
"mainChain": true
}
],
"size": 2341,
"isUnconfirmed": false
}