Transaction
ID: 075d5e789b...4336
Inputs (7)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.9561 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.9543 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 787,480
Total coins transferred: 0.9587 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000606 ERG
Raw Transaction Data
{
"id": "075d5e789b39b4fcd60badb1892d2a75eef4e65c14ed2098e8626b6f18c84336",
"blockId": "0dfdf27652021a90af113c26cf7a5d44989edf02290964254293d8cf1ddac0cd",
"inclusionHeight": 975678,
"timestamp": 1680677362933,
"index": 1,
"globalIndex": 5003300,
"numConfirmations": 787480,
"inputs": [
{
"boxId": "6879f2e3a21dd7a6698d8ad31b3f251d7523f0984a03618518853b35c7f61139",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
"outputTransactionId": "a7afc72dfc15f1c64dfd02df0a7cad88569a47973e6343057cb681f5828aaa0f",
"outputIndex": 0,
"outputGlobalIndex": 28005727,
"outputCreatedAt": 975156,
"outputSettledAt": 975158,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\n17: 1\n18: true",
"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 val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\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 (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
"index": 0,
"amount": 995,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9]"
},
"R5": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
}
}
},
{
"boxId": "1c88bd4814681e5d8d93e0eec94c6672e649e02c0e633a72daa651f8db8e5213",
"value": 956100000,
"index": 1,
"spendingProof": "32197e5bc50fa220be2e4e88e2b1e0f56ad58cc8c115a885c25ee62b6d9e632a785fd51654563c7c05b264d256286badc7772740931d6294",
"outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
"outputTransactionId": "a7afc72dfc15f1c64dfd02df0a7cad88569a47973e6343057cb681f5828aaa0f",
"outputIndex": 2,
"outputGlobalIndex": 28005729,
"outputCreatedAt": 975156,
"outputSettledAt": 975158,
"ergoTree": "0008cd0383958fe3120f57a5b799abe963e21fd4e4a40b6e56a01d4da2eb287eb0a1f450",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(83958f,cdc060,...)))}",
"address": "9hTkqKWcsqAiAtHQ32goQmgwvLrSE6T2Hq8zajEzsd3tRgXWsEb",
"assets": [
{
"tokenId": "033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
},
{
"boxId": "3ff88d4151b486790396deed33c8149f50f9b05c257315945e47b4c8fee9b82f",
"value": 300000,
"index": 2,
"spendingProof": null,
"outputBlockId": "17f43fa955b081282d189c12bc2cf330c943536a35e85e2d51b63ac9da425a8f",
"outputTransactionId": "30a65f42482f290af53e8b56eba96f86b56a04ac1231fdd11e276fd0b7d8ae77",
"outputIndex": 1,
"outputGlobalIndex": 28008510,
"outputCreatedAt": 973575,
"outputSettledAt": 975268,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\n17: 1\n18: true",
"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 val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\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 (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9]"
}
}
},
{
"boxId": "6f54496b74fe5e6829caf9c709755f3d2a1b65389aa8694fff84e731ae7896dd",
"value": 300000,
"index": 3,
"spendingProof": null,
"outputBlockId": "ccfa2d6fe19a1b9ef569d5c182c94172968a10b3df341a47b6a77b838629dabd",
"outputTransactionId": "f1661099ed6ea1be5e975c1ed23369fae4f415c60a1201afce0a59f746a0c902",
"outputIndex": 6,
"outputGlobalIndex": 28008545,
"outputCreatedAt": 975266,
"outputSettledAt": 975270,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\n17: 1\n18: true",
"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 val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\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 (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9]"
}
}
},
{
"boxId": "cd4b23b639e2f8005f3e5e26ea4fd55f686156d832405bf9fb2c964dc3876578",
"value": 300000,
"index": 4,
"spendingProof": null,
"outputBlockId": "484bc87772f1b18d3a4a6d736317b09c51eef537593727342c83babec63a7884",
"outputTransactionId": "c39fd85d69da4d008aeb9b4042d3ffde09775c5b813fc9823c383c34f87d390b",
"outputIndex": 3,
"outputGlobalIndex": 28009869,
"outputCreatedAt": 975293,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\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 (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9]"
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"outputGlobalIndex": 28013890,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\n17: 1\n18: true",
"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 val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\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 (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"assets": [
{
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"amount": 1,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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"name": "RSN.V-test",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9]"
}
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},
{
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"value": 300000,
"index": 6,
"spendingProof": null,
"outputBlockId": "0e4e61f71ee31e987dbce2aaab87c0499e6b331e36d363c7354c925efaaf4c30",
"outputTransactionId": "bd69c102c009396213cc819d0882a134fb732e609c1fcb4cdd7c07317abe4ba2",
"outputIndex": 7,
"outputGlobalIndex": 28014108,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\n17: 1\n18: true",
"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 val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\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 (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"assets": [
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9]"
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}
}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "075d5e789b39b4fcd60badb1892d2a75eef4e65c14ed2098e8626b6f18c84336",
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"index": 0,
"globalIndex": 28023611,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\n17: 1\n18: true",
"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 val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\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 (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
"index": 0,
"amount": 999,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9]"
},
"R5": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
}
},
"spentTransactionId": "275bbe439db63139369af64587d5bd51eab05dcc93ca7c4f71a93a95b1408622",
"mainChain": true
},
{
"boxId": "d28fbcddd5858c762d75b985902d8a06f74f211ff2753db874f4353792e67f26",
"transactionId": "075d5e789b39b4fcd60badb1892d2a75eef4e65c14ed2098e8626b6f18c84336",
"blockId": "0dfdf27652021a90af113c26cf7a5d44989edf02290964254293d8cf1ddac0cd",
"value": 1100000,
"index": 1,
"globalIndex": 28023612,
"creationHeight": 975676,
"settlementHeight": 975678,
"ergoTree": "101c04000e20087cba361c7f6b7c953200fe30de45e5fcb2d2c1cde9154b3b3c8a5c28dc61ed04000200020004020400010004000400040004000400040604040402050205c8010500040204000400020004000400040204000400d80bd601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607c67205051ad608e67207d609957208b0e472078301027303d901093c0e0eb38c7209018c7209028301027304d60ab472097305b17209d60bb2a5730600957203d801d60cb2b5a5d9010c63d801d60ec6720c041a95e6720e93e4720e72047307730800d19683040193cbc2720ce4c6a7070e938cb2db6308720c730900018cb2db6308a7730a0001efae7206d9010d0e93720483010e720d93cbb3720ab27204730b00e4c6a7060ed801d60ccbc2720b9593720c7202d806d60db5a4d9010d6393c2a7c2720dd60eb1720dd60fb2db6501fe730c00d610e4c6720f0611d611b27210730d00d6129ab27210730e009d9cb27210730f00997eb1e4c6720f041a0573107311d19683080192c1720bb0ad720dd9011363c172137312d90113599a8c7213018c72130293b1b5720dd901136393e4c67213041a72047313ae7206d901130e9383010e7213720493e4c67205060ee4c6a7070e93b17206720e93cbb3720ab27204731400e4c6a7060e93e4c6a7051a83010e957208cbb2e472077315008301027316917e720e05958f7211721272117212d19683050193c5a7c57201938cb2db6308720b731700018cb2db6308a77318000193e4c6720b041a7204938cb2db6308b2a4731900731a0001b27204731b0093720ce4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
"tokenId": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9]"
},
"R5": {
"serializedValue": "1a0120615fe1b5a04800b58c4b397cc3cf78b23b1d2fa4b3ca104b2058ff7070ce3f82",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[615fe1b5a04800b58c4b397cc3cf78b23b1d2fa4b3ca104b2058ff7070ce3f82]"
},
"R6": {
"serializedValue": "0e204b8fe9964075b40e52a671b7d838ddf3f2184559461e48aca0ef7b22a3d72cf7",
"sigmaType": "Coll[SByte]",
"renderedValue": "4b8fe9964075b40e52a671b7d838ddf3f2184559461e48aca0ef7b22a3d72cf7"
},
"R7": {
"serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
}
},
"spentTransactionId": "03e4e2116eb9ddf4d10aa09f80b376ef3b0944d08f69f878bee5617ded3b637b",
"mainChain": true
},
{
"boxId": "e31f7f9aeb7e0b564c891dd1f7420d3cd2aa2b5cb67af1fcb683b1cd9137572a",
"transactionId": "075d5e789b39b4fcd60badb1892d2a75eef4e65c14ed2098e8626b6f18c84336",
"blockId": "0dfdf27652021a90af113c26cf7a5d44989edf02290964254293d8cf1ddac0cd",
"value": 954300000,
"index": 2,
"globalIndex": 28023613,
"creationHeight": 975676,
"settlementHeight": 975678,
"ergoTree": "0008cd0383958fe3120f57a5b799abe963e21fd4e4a40b6e56a01d4da2eb287eb0a1f450",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(83958f,cdc060,...)))}",
"address": "9hTkqKWcsqAiAtHQ32goQmgwvLrSE6T2Hq8zajEzsd3tRgXWsEb",
"assets": [
{
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"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {},
"spentTransactionId": "275bbe439db63139369af64587d5bd51eab05dcc93ca7c4f71a93a95b1408622",
"mainChain": true
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{
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"blockId": "0dfdf27652021a90af113c26cf7a5d44989edf02290964254293d8cf1ddac0cd",
"value": 1100000,
"index": 3,
"globalIndex": 28023614,
"creationHeight": 975676,
"settlementHeight": 975678,
"ergoTree": "0008cd0383958fe3120f57a5b799abe963e21fd4e4a40b6e56a01d4da2eb287eb0a1f450",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(83958f,cdc060,...)))}",
"address": "9hTkqKWcsqAiAtHQ32goQmgwvLrSE6T2Hq8zajEzsd3tRgXWsEb",
"assets": [
{
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"index": 0,
"amount": 3,
"name": "RSN.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "a6fa858a3f44502cfa3dcb5e475f426128e8c6ceeb3f6a8f8980d35b45c23627",
"transactionId": "075d5e789b39b4fcd60badb1892d2a75eef4e65c14ed2098e8626b6f18c84336",
"blockId": "0dfdf27652021a90af113c26cf7a5d44989edf02290964254293d8cf1ddac0cd",
"value": 1100000,
"index": 4,
"globalIndex": 28023615,
"creationHeight": 975676,
"settlementHeight": 975678,
"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": "6845e8be2df45c9321beced104d6e698d8d342d1f8bfa1bec0a071fb007d6e49",
"mainChain": true
}
],
"size": 1814,
"isUnconfirmed": false
}