Transaction
ID: 2368fb4919...8d47
Inputs (7)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.78 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:
1.77 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
Transaction Details
Confirmations: 774,604
Total coins transferred: 1.78 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000589 ERG
Raw Transaction Data
{
"id": "2368fb4919b49198845cdf337c5513c45293c2f42a6bd1068493a2f453ff8d47",
"blockId": "e5f6bfa14810ce9a11a4ec86b419669517a1858775920a5360cd15c659be32a5",
"inclusionHeight": 992529,
"timestamp": 1682721906205,
"index": 7,
"globalIndex": 5116918,
"numConfirmations": 774604,
"inputs": [
{
"boxId": "c701e1e8b303ac696da1422ce2f5e2e5eae4c9cd15876964f69b9438871d888e",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "ea0ee9bc1a808e8ffbc1c73f1c278169b79a4d8832693cdd73694f2c6a0b0345",
"outputTransactionId": "ef6defd4c436d1bafd603ecf3bd46d3f141c5a9e6a3157c2b7798babe16ca6f7",
"outputIndex": 0,
"outputGlobalIndex": 28674411,
"outputCreatedAt": 992463,
"outputSettledAt": 992466,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\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": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 9988,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6]"
},
"R5": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
}
}
},
{
"boxId": "7129e57502211c4cf2b4a640852ee96aa6cd3f308c76c4e00fb0a42ff9d21a56",
"value": 1776300000,
"index": 1,
"spendingProof": "b8fa382e1664cd3c9715c8740f5ce277007438ab5dd54930eea75900d7987aa049862a2eccfc0e5a60899770bfad6d0fcbf24d3547fc482d",
"outputBlockId": "ea0ee9bc1a808e8ffbc1c73f1c278169b79a4d8832693cdd73694f2c6a0b0345",
"outputTransactionId": "ef6defd4c436d1bafd603ecf3bd46d3f141c5a9e6a3157c2b7798babe16ca6f7",
"outputIndex": 2,
"outputGlobalIndex": 28674413,
"outputCreatedAt": 992463,
"outputSettledAt": 992466,
"ergoTree": "0008cd027b4e53ad282237d5007df4e1810b857204f3fc6f5365ebd77b7d50a6572ae8a5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7b4e53,66d72a,...)))}",
"address": "9fTNCaMyE7ygQF6qrkxgy7c2Tg1Xf9enBUge2278RtReDCf1tHc",
"assets": [
{
"tokenId": "9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
},
{
"boxId": "b9edb1fef8b90066c904fb1f5c60d6ec22adfdacd6c1ad295bc585d957c94c2b",
"value": 300000,
"index": 2,
"spendingProof": null,
"outputBlockId": "ea0ee9bc1a808e8ffbc1c73f1c278169b79a4d8832693cdd73694f2c6a0b0345",
"outputTransactionId": "6328a72b8e8b4be5297e2b4e5b64bce7f6a61a01f2e1b371b984e37dbffe48c4",
"outputIndex": 1,
"outputGlobalIndex": 28674423,
"outputCreatedAt": 992459,
"outputSettledAt": 992466,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\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": "EE7687i4URb4YuSGSQXPCbAn9cEHVef1YnLTkL7EAGAqijKAZhmNiZ2n5ZcieaSJzJDe6hdv2u287YjQpbzBBQCQbtzt2QY1wy53XMgswkAiSiZNAq9Q4MCp1RNxZbzR6Bmtb3cGNkdnrDA2VjReFXSts9Jjc9yn4ktV2cuRj5F5xXAzYz5NY7cvRN89GKJyfkJnxdTGLZQw7ZFDFmZBqtknJs2Fo7qJkrTyV4foV6H5ofTg1uePXqoKMyoZm6FcNsM1isHe5vNarDAhikwqtTzvZ3CgcW53K8oGoexv2zNsFTRdMmRKk2rmJhaXNSUXpzYXkD5PdtB3dgz2PuGWrXKJ7EQxiNzLxFwrv3zSgSB2YgPDTzgUjiGVSg5VX4wcMcCnFoYKoGAMVBPdbSjj6wxPqnKhqowkoNHPGEvDTtYqcEBVBL5WqPpdTcbKk4anEr55ZrFsrwAbpv1Aqd1kMFkHZdn5YExj82zTH8MFrQ6XR9mjShySh3a6SoQeCC2Xyy4E98bECT5Fe1JWXxF8wA878zCHRALhUNfj61A",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6]"
}
}
},
{
"boxId": "19cc67c8bda1afafa3fddbadba184c5396879edfadc51839186c347a54f2e72f",
"value": 300000,
"index": 3,
"spendingProof": null,
"outputBlockId": "15da0b6363cf4d47743a7a9a1a376dbc32748c98e182fec071c6225c24cd0e99",
"outputTransactionId": "08bde07e1b3fa5018e3561d89f4b925913a8003347ab462b28ff0b0c12214d1b",
"outputIndex": 2,
"outputGlobalIndex": 28674527,
"outputCreatedAt": 992469,
"outputSettledAt": 992475,
"ergoTree": "10130400040004040400040204000e20a599bb94b230f8d3ac94856ab24c31b235ab493d3415097102916c600fbbf9690404040004000400010104020400040004000e20e9efb07c96c8e70dd8946638729c6de4b58856f59f46c5a5b1699632b4aea3b505020101d807d601b2a5730000d6028cb2db6308a773010001d603aeb5b4a57302b1a5d901036391b1db630872037303d9010363aedb63087203d901054d0e938c7205017202d604e4c6a7041ad605b2a5730400d606db63087205d607ae7206d901074d0e938c720701720295938cb2db63087201730500017306d196830301ef7203938cb2db6308b2a473070073080001b2720473090095720796830201938cb27206730a0001720293c27205c2a7730bd801d608c2a7d196830501ef720393c27201720893e4c67201041a7204938cb2db6308b2a4730c00730d0001b27204730e00957207d801d609b27206730f0096830701938c720901720293cbc272057310e6c67205051ae6c67205060e93e4c67205070ecb720893e4c67205041a7204938c72090273117312",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\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": "EE7687i4URb4YuSGSQXPCbAn9cEHVef1YnLTkL7EAGAqijKAZhmNiZ2n5ZcieaSJzJDe6hdv2u287YjQpbzBBQCQbtzt2QY1wy53XMgswkAiSiZNAq9Q4MCp1RNxZbzR6Bmtb3cGNkdnrDA2VjReFXSts9Jjc9yn4ktV2cuRj5F5xXAzYz5NY7cvRN89GKJyfkJnxdTGLZQw7ZFDFmZBqtknJs2Fo7qJkrTyV4foV6H5ofTg1uePXqoKMyoZm6FcNsM1isHe5vNarDAhikwqtTzvZ3CgcW53K8oGoexv2zNsFTRdMmRKk2rmJhaXNSUXpzYXkD5PdtB3dgz2PuGWrXKJ7EQxiNzLxFwrv3zSgSB2YgPDTzgUjiGVSg5VX4wcMcCnFoYKoGAMVBPdbSjj6wxPqnKhqowkoNHPGEvDTtYqcEBVBL5WqPpdTcbKk4anEr55ZrFsrwAbpv1Aqd1kMFkHZdn5YExj82zTH8MFrQ6XR9mjShySh3a6SoQeCC2Xyy4E98bECT5Fe1JWXxF8wA878zCHRALhUNfj61A",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 1,
"amount": 2,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6]"
}
}
},
{
"boxId": "da54294136328850179bb165431af0433a7ec9ebfb235603f240147b39cdde80",
"value": 300000,
"index": 4,
"spendingProof": null,
"outputBlockId": "641c67de9f5f6212d699c3ee4bf3ac7bbf487b1d9441043c036bda06596bd9c7",
"outputTransactionId": "17b2dbcaf5bbce51df5e2ce6af03bb8a66875ceb8281b2f044da069378ee5026",
"outputIndex": 4,
"outputGlobalIndex": 28674845,
"outputCreatedAt": 992484,
"outputSettledAt": 992491,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\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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"index": 0,
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"index": 1,
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"name": "RSN.V-test2",
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],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6]"
}
}
},
{
"boxId": "b158c3c49d2c2dc0c580f8317878a2fdc5079bd8aa74c99aaa7f3facf36b1b97",
"value": 300000,
"index": 5,
"spendingProof": null,
"outputBlockId": "5b616dd176f5e4c94d5640903b5819d8aa401d560b3a077a950698d41831d0d4",
"outputTransactionId": "360f20d9e60eb75fd702547c7411528f9731e4b19c4f8965a5ca9d2e620d41e4",
"outputIndex": 7,
"outputGlobalIndex": 28675129,
"outputCreatedAt": 992505,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\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": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6]"
}
}
},
{
"boxId": "785ebdce70a80ed155eded09a145ce1cf6bb7745bd6462da38226bd754a106a6",
"value": 300000,
"index": 6,
"spendingProof": null,
"outputBlockId": "c2d0267cb2e28490fe8e45544cdaf73ff10e5b5a94a6512f48e3d3c44263f2af",
"outputTransactionId": "b244af403f8cc765cea32d291597e17a79b2b2403b541574a146a46722f918a5",
"outputIndex": 3,
"outputGlobalIndex": 28675569,
"outputCreatedAt": 992521,
"outputSettledAt": 992525,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\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": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6]"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "bde7fb3e256a01dd72e2232f2714512a81b22c6994ade4abfc2e7e7be61b5c62",
"transactionId": "2368fb4919b49198845cdf337c5513c45293c2f42a6bd1068493a2f453ff8d47",
"blockId": "e5f6bfa14810ce9a11a4ec86b419669517a1858775920a5360cd15c659be32a5",
"value": 1100000,
"index": 0,
"globalIndex": 28675696,
"creationHeight": 992527,
"settlementHeight": 992529,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\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": "EE7687i4URb4YuSGSQXPCbAn9cEHVef1YnLTkL7EAGAqijKAZhmNiZ2n5ZcieaSJzJDe6hdv2u287YjQpbzBBQCQbtzt2QY1wy53XMgswkAiSiZNAq9Q4MCp1RNxZbzR6Bmtb3cGNkdnrDA2VjReFXSts9Jjc9yn4ktV2cuRj5F5xXAzYz5NY7cvRN89GKJyfkJnxdTGLZQw7ZFDFmZBqtknJs2Fo7qJkrTyV4foV6H5ofTg1uePXqoKMyoZm6FcNsM1isHe5vNarDAhikwqtTzvZ3CgcW53K8oGoexv2zNsFTRdMmRKk2rmJhaXNSUXpzYXkD5PdtB3dgz2PuGWrXKJ7EQxiNzLxFwrv3zSgSB2YgPDTzgUjiGVSg5VX4wcMcCnFoYKoGAMVBPdbSjj6wxPqnKhqowkoNHPGEvDTtYqcEBVBL5WqPpdTcbKk4anEr55ZrFsrwAbpv1Aqd1kMFkHZdn5YExj82zTH8MFrQ6XR9mjShySh3a6SoQeCC2Xyy4E98bECT5Fe1JWXxF8wA878zCHRALhUNfj61A",
"assets": [
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"sigmaType": "Coll[Coll[SByte]]",
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},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "00"
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"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 = coll6.size\n val i15 = coll13.size\n val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll17 = box16.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](13))\n val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n val tuple20 = box5.tokens(placeholder[Int](18))\n val tuple21 = SELF.tokens(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](27)\n ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
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"additionalRegisters": {
"R4": {
"serializedValue": "1a01209dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6]"
},
"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1b4eeb150c01b6138353734c16e1d2e42232f352f51ba84c874b5f88663d4995]"
},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "e69d0084a39a6610cec8313e7aad1aaf46b3b437782c9967fc7c6594ca2f5724"
},
"R7": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
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"spentTransactionId": "fb834570b165ea2eb73112c1cb7dcaa58f5ff2867e6a9c18a63c118710666913",
"mainChain": true
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{
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"value": 1774500000,
"index": 2,
"globalIndex": 28675698,
"creationHeight": 992527,
"settlementHeight": 992529,
"ergoTree": "0008cd027b4e53ad282237d5007df4e1810b857204f3fc6f5365ebd77b7d50a6572ae8a5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7b4e53,66d72a,...)))}",
"address": "9fTNCaMyE7ygQF6qrkxgy7c2Tg1Xf9enBUge2278RtReDCf1tHc",
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{
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"name": null,
"decimals": null,
"type": null
}
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"additionalRegisters": {},
"spentTransactionId": "c68c925f15bd5f18247783663741a4e5657ecda672d730e55dd9b635c1dfeddc",
"mainChain": true
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{
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"blockId": "e5f6bfa14810ce9a11a4ec86b419669517a1858775920a5360cd15c659be32a5",
"value": 1100000,
"index": 3,
"globalIndex": 28675699,
"creationHeight": 992527,
"settlementHeight": 992529,
"ergoTree": "0008cd027b4e53ad282237d5007df4e1810b857204f3fc6f5365ebd77b7d50a6572ae8a5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7b4e53,66d72a,...)))}",
"address": "9fTNCaMyE7ygQF6qrkxgy7c2Tg1Xf9enBUge2278RtReDCf1tHc",
"assets": [
{
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"index": 0,
"amount": 4,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
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"additionalRegisters": {},
"spentTransactionId": "d614667836e516b2cfa3d6d10a1f907299cecc9e059f0831a862405198e7a38f",
"mainChain": true
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{
"boxId": "d4641255727f7154fb48e5eca4ae8678c806964fe2695f54768e7004eb8c4f26",
"transactionId": "2368fb4919b49198845cdf337c5513c45293c2f42a6bd1068493a2f453ff8d47",
"blockId": "e5f6bfa14810ce9a11a4ec86b419669517a1858775920a5360cd15c659be32a5",
"value": 1100000,
"index": 4,
"globalIndex": 28675700,
"creationHeight": 992527,
"settlementHeight": 992529,
"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": "6512bb5609afa1112464f8ecebb2923163e026d165f4ab86ddaf763312668899",
"mainChain": true
}
],
"size": 1866,
"isUnconfirmed": false
}