Transaction
ID: bca4b7d526...66a3
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.011 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: 785,014
Total coins transferred: 0.0132 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000608 ERG
Raw Transaction Data
{
"id": "bca4b7d526accf50326bdbe81ca8e8b4a9f362366238a9fd85b2bf07df8466a3",
"blockId": "75d28bb969b35893b7add10cd7fea0ab1ea2e107fa97c0c3335102a92c5ee2f1",
"inclusionHeight": 991798,
"timestamp": 1682633902269,
"index": 16,
"globalIndex": 5108966,
"numConfirmations": 785014,
"inputs": [
{
"boxId": "38ef101469304afd95f36955e40a1142e605b12317b79a25673db77f53d136f8",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5bb309713d2fe5f1b84fb6c0745cc6a1f883171f353147fd66090389c364ea41",
"outputTransactionId": "24fd75f34a142e438e45935cad1fe8a9a587a130d1e64304971ce5f58734873e",
"outputIndex": 1,
"outputGlobalIndex": 28634326,
"outputCreatedAt": 991782,
"outputSettledAt": 991785,
"ergoTree": "101e04000e20011f06cdfb88ff806577f1619355fdad2c554d95d563776d175da39a7af2ecf304000200020004020400010004000400040004000400040604040402050205c801040004000500040204000400020004000400040204000400d80bd601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607c67205051ad608e67207d609957208b0e472078301027303d901093c0e0eb38c7209018c7209028301027304d60ab472097305b17209d60bb2a5730600957203d801d60cb2b5a5d9010c63d801d60ec6720c041a95e6720e93e4720e72047307730800d19683040193cbc2720ce4c6a7070e938cb2db6308720c730900018cb2db6308a7730a0001efae7206d9010d0e93720483010e720d93cbb3720ab27204730b00e4c6a7060ed801d60ccbc2720b9593720c7202d809d60db5a4d9010d6393c2a7c2720dd60eb17206d60fb1720dd610b2db6501fe730c00d611e4c672100611d612b27211730d00d6139ab27211730e009d9cb27211730f00997eb1e4c67210041a0573107311d614b2db63087205731200d615b2db6308a7731300d196830a0192c1720bb0ad720dd9011663c172167314d90116599a8c7216018c72160293b1b5720dd901166393e4c67216041a72047315ae7206d901160e9383010e7216720493e4c67205060ee4c6a7070e93720e720f93cbb3720ab27204731600e4c6a7060e93e4c6a7051a83010e957208cbb2e472077317008301027318917e720f05958f7212721372127213938c7214018c721501928c7214029c8c7215027e720e05d19683050193c5a7c57201938cb2db6308720b731900018cb2db6308a7731a000193e4c6720b041a7204938cb2db6308b2a4731b00731c0001b27204731d0093720ce4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(1,31,6,-51,-5,-120,-1,-128,101,119,-15,97,-109,85,-3,-83,44,85,77,-107,-43,99,119,109,23,93,-93,-102,122,-14,-20,-13)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = 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}",
"address": "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",
"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]"
},
"R5": {
"serializedValue": "1a01205697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145]"
},
"R6": {
"serializedValue": "0e20b84d3ad1ffadbb282eec58aecef015449b242f13ba579b6cee4f088b881875a3",
"sigmaType": "Coll[SByte]",
"renderedValue": "b84d3ad1ffadbb282eec58aecef015449b242f13ba579b6cee4f088b881875a3"
},
"R7": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "19c0212220a1045c8039b2130837b271559d44afb818dbdb5e10c5d125f6c81f",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "5bb309713d2fe5f1b84fb6c0745cc6a1f883171f353147fd66090389c364ea41",
"outputTransactionId": "54c96a3d055271e62064c0e2f306724ed5a02e61668eeb5482abead4118a4840",
"outputIndex": 1,
"outputGlobalIndex": 28634330,
"outputCreatedAt": 991782,
"outputSettledAt": 991785,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(1,31,6,-51,-5,-120,-1,-128,101,119,-15,97,-109,85,-3,-83,44,85,77,-107,-43,99,119,109,23,93,-93,-102,122,-14,-20,-13)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = 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}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012095915d95a1f7bfdf947a16cf689bebe6e9da4818bb318cebe59c5f28ef9890d6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[95915d95a1f7bfdf947a16cf689bebe6e9da4818bb318cebe59c5f28ef9890d6]"
},
"R5": {
"serializedValue": "1a01205697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145]"
},
"R6": {
"serializedValue": "0e207fca6f3a6b16b534d7c5e1735d2fcc0920bfd6bfbe0f2432f891f576cf2edd90",
"sigmaType": "Coll[SByte]",
"renderedValue": "7fca6f3a6b16b534d7c5e1735d2fcc0920bfd6bfbe0f2432f891f576cf2edd90"
},
"R7": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "08ace932fb578824b64bedb8bcbfca789949226cb82440c4047ae8ed8a988306",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "5bb309713d2fe5f1b84fb6c0745cc6a1f883171f353147fd66090389c364ea41",
"outputTransactionId": "aa0efd66ae2726ae7f9896d0e6eddb209fdad6de8a22843dd010a6882dfe57c1",
"outputIndex": 1,
"outputGlobalIndex": 28634334,
"outputCreatedAt": 991782,
"outputSettledAt": 991785,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(1,31,6,-51,-5,-120,-1,-128,101,119,-15,97,-109,85,-3,-83,44,85,77,-107,-43,99,119,109,23,93,-93,-102,122,-14,-20,-13)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = 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}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012094b2e054e071a4a0b7c5c634176f1bb1b761695140f467219e00fc6406ace057",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[94b2e054e071a4a0b7c5c634176f1bb1b761695140f467219e00fc6406ace057]"
},
"R5": {
"serializedValue": "1a01205697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145]"
},
"R6": {
"serializedValue": "0e20ac5cd9ad3515eb4aaa0eb18482e033b41b250e0f3dc94b68527100f0ce0ca534",
"sigmaType": "Coll[SByte]",
"renderedValue": "ac5cd9ad3515eb4aaa0eb18482e033b41b250e0f3dc94b68527100f0ce0ca534"
},
"R7": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "5176204ba3f5f1af46dcec9ae8016d1f5294e6df6c0cf2e82de9c231543b615c",
"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "5bb309713d2fe5f1b84fb6c0745cc6a1f883171f353147fd66090389c364ea41",
"outputTransactionId": "b465a6e9413886bd693ff0704bcfd1f1d24100ee438e5d7c3a4f441a53f88ef6",
"outputIndex": 1,
"outputGlobalIndex": 28634338,
"outputCreatedAt": 991782,
"outputSettledAt": 991785,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(1,31,6,-51,-5,-120,-1,-128,101,119,-15,97,-109,85,-3,-83,44,85,77,-107,-43,99,119,109,23,93,-93,-102,122,-14,-20,-13)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = 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}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a27cf938ef70a2b562ea6b7af2f766e92ac5250eba5c75011bc3d48f27275db3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a27cf938ef70a2b562ea6b7af2f766e92ac5250eba5c75011bc3d48f27275db3]"
},
"R5": {
"serializedValue": "1a01205697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145]"
},
"R6": {
"serializedValue": "0e20e67968c19349dabbdc278083587a8ae802d4b1208559f18eab1cdf935139716e",
"sigmaType": "Coll[SByte]",
"renderedValue": "e67968c19349dabbdc278083587a8ae802d4b1208559f18eab1cdf935139716e"
},
"R7": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "9f4ecc4108b2edc403df1308b71740aa3687a784ec88c0eddde10e1adf27b8cf",
"value": 1100000,
"index": 4,
"spendingProof": null,
"outputBlockId": "5bb309713d2fe5f1b84fb6c0745cc6a1f883171f353147fd66090389c364ea41",
"outputTransactionId": "c20bbb8855b4d858ed6b679a65f8c586d4aed5482f4b272fe6ce109224babd0a",
"outputIndex": 1,
"outputGlobalIndex": 28634342,
"outputCreatedAt": 991782,
"outputSettledAt": 991785,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(1,31,6,-51,-5,-120,-1,-128,101,119,-15,97,-109,85,-3,-83,44,85,77,-107,-43,99,119,109,23,93,-93,-102,122,-14,-20,-13)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = 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}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00]"
},
"R5": {
"serializedValue": "1a01205697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145]"
},
"R6": {
"serializedValue": "0e20d875d79d794c90417513425827b7fe0387bc2891d1a8960b14bf267a3903c8ee",
"sigmaType": "Coll[SByte]",
"renderedValue": "d875d79d794c90417513425827b7fe0387bc2891d1a8960b14bf267a3903c8ee"
},
"R7": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "d0bd156b66dfab868485910c83a8b65d3b71d88b53ba2a9ffaca5532c5b5531e",
"value": 1100000,
"index": 5,
"spendingProof": null,
"outputBlockId": "ad2d60a3078cbcc3142bcc29be8dceb250d77499e9bd2a3660ff5ffb910056b5",
"outputTransactionId": "5134e5e5d8fcedf111c6dd5a2f6422e3fd6cb902a451196c5bfa363d10fab4c4",
"outputIndex": 1,
"outputGlobalIndex": 28634372,
"outputCreatedAt": 991783,
"outputSettledAt": 991787,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(1,31,6,-51,-5,-120,-1,-128,101,119,-15,97,-109,85,-3,-83,44,85,77,-107,-43,99,119,109,23,93,-93,-102,122,-14,-20,-13)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = 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}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120324af5e13b9221a75f88958331e0b55becbd8c29f54d2d09dcb412acc89634fc",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[324af5e13b9221a75f88958331e0b55becbd8c29f54d2d09dcb412acc89634fc]"
},
"R5": {
"serializedValue": "1a01205697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145]"
},
"R6": {
"serializedValue": "0e203cc02a62d8994b3c97c438fbaba8560553cd8025dfe7fe6a0a34b120702779d4",
"sigmaType": "Coll[SByte]",
"renderedValue": "3cc02a62d8994b3c97c438fbaba8560553cd8025dfe7fe6a0a34b120702779d4"
},
"R7": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "0ed465ac8c4a687528f0bf201f46ebb6772b92775a609bdfca1d9bb67bf0def5",
"value": 1100000,
"index": 6,
"spendingProof": null,
"outputBlockId": "ad2d60a3078cbcc3142bcc29be8dceb250d77499e9bd2a3660ff5ffb910056b5",
"outputTransactionId": "d952f2c73418099a86d65290a31469663f180ac802d2e8c2bbf13b007308401a",
"outputIndex": 1,
"outputGlobalIndex": 28634376,
"outputCreatedAt": 991784,
"outputSettledAt": 991787,
"ergoTree": "101e04000e20011f06cdfb88ff806577f1619355fdad2c554d95d563776d175da39a7af2ecf304000200020004020400010004000400040004000400040604040402050205c801040004000500040204000400020004000400040204000400d80bd601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607c67205051ad608e67207d609957208b0e472078301027303d901093c0e0eb38c7209018c7209028301027304d60ab472097305b17209d60bb2a5730600957203d801d60cb2b5a5d9010c63d801d60ec6720c041a95e6720e93e4720e72047307730800d19683040193cbc2720ce4c6a7070e938cb2db6308720c730900018cb2db6308a7730a0001efae7206d9010d0e93720483010e720d93cbb3720ab27204730b00e4c6a7060ed801d60ccbc2720b9593720c7202d809d60db5a4d9010d6393c2a7c2720dd60eb17206d60fb1720dd610b2db6501fe730c00d611e4c672100611d612b27211730d00d6139ab27211730e009d9cb27211730f00997eb1e4c67210041a0573107311d614b2db63087205731200d615b2db6308a7731300d196830a0192c1720bb0ad720dd9011663c172167314d90116599a8c7216018c72160293b1b5720dd901166393e4c67216041a72047315ae7206d901160e9383010e7216720493e4c67205060ee4c6a7070e93720e720f93cbb3720ab27204731600e4c6a7060e93e4c6a7051a83010e957208cbb2e472077317008301027318917e720f05958f7212721372127213938c7214018c721501928c7214029c8c7215027e720e05d19683050193c5a7c57201938cb2db6308720b731900018cb2db6308a7731a000193e4c6720b041a7204938cb2db6308b2a4731b00731c0001b27204731d0093720ce4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(1,31,6,-51,-5,-120,-1,-128,101,119,-15,97,-109,85,-3,-83,44,85,77,-107,-43,99,119,109,23,93,-93,-102,122,-14,-20,-13)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = 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}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01]"
},
"R5": {
"serializedValue": "1a01205697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145]"
},
"R6": {
"serializedValue": "0e20e14c35a6cc0c5da75e397f137fba4518be4e37929ae76bd6575ca31c0036eb0c",
"sigmaType": "Coll[SByte]",
"renderedValue": "e14c35a6cc0c5da75e397f137fba4518be4e37929ae76bd6575ca31c0036eb0c"
},
"R7": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "e68a22aac40c690093cd5b1f56ceca35ac3548a2910f7bc6ccc38c934d213907",
"value": 1100000,
"index": 7,
"spendingProof": null,
"outputBlockId": "ad2d60a3078cbcc3142bcc29be8dceb250d77499e9bd2a3660ff5ffb910056b5",
"outputTransactionId": "dd7d5e84cd35fba66afed608538a81a8a378cccd7f516812cb0b2751a79f52aa",
"outputIndex": 1,
"outputGlobalIndex": 28634380,
"outputCreatedAt": 991783,
"outputSettledAt": 991787,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(1,31,6,-51,-5,-120,-1,-128,101,119,-15,97,-109,85,-3,-83,44,85,77,-107,-43,99,119,109,23,93,-93,-102,122,-14,-20,-13)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = 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}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120de5fd2cf8d6793ac0eeb949d82bd757fbe3d02c50a3eedca0f79ff7f7a10ad11",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[de5fd2cf8d6793ac0eeb949d82bd757fbe3d02c50a3eedca0f79ff7f7a10ad11]"
},
"R5": {
"serializedValue": "1a01205697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145]"
},
"R6": {
"serializedValue": "0e20797fb3f375843d5301cfae4bcbaee90b89cccabed5d8f2100097269bd0af4342",
"sigmaType": "Coll[SByte]",
"renderedValue": "797fb3f375843d5301cfae4bcbaee90b89cccabed5d8f2100097269bd0af4342"
},
"R7": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "3e14c92352b8d91999a1063322ea8cc2d1af2abdf1b55fa3d1c003f873496512",
"value": 1100000,
"index": 8,
"spendingProof": null,
"outputBlockId": "ad2d60a3078cbcc3142bcc29be8dceb250d77499e9bd2a3660ff5ffb910056b5",
"outputTransactionId": "e75d12426277011fd579535f15d914ab03c8d1a784b3604857f1cefbe448dc7a",
"outputIndex": 1,
"outputGlobalIndex": 28634384,
"outputCreatedAt": 991785,
"outputSettledAt": 991787,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(1,31,6,-51,-5,-120,-1,-128,101,119,-15,97,-109,85,-3,-83,44,85,77,-107,-43,99,119,109,23,93,-93,-102,122,-14,-20,-13)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = 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}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012072743d4c42bdd20a106230afefd47a0f6d381a9782638f0f032b56cd7816d288",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[72743d4c42bdd20a106230afefd47a0f6d381a9782638f0f032b56cd7816d288]"
},
"R5": {
"serializedValue": "1a01205697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145]"
},
"R6": {
"serializedValue": "0e200bd4e839e9cba3cbaeb9eba7910b073ab4501a945fdf643894997f33291f4dba",
"sigmaType": "Coll[SByte]",
"renderedValue": "0bd4e839e9cba3cbaeb9eba7910b073ab4501a945fdf643894997f33291f4dba"
},
"R7": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "901075e38ead1873646ebc09d374ea4dfe7df838617f644073e02e3fbf0f2a98",
"value": 1100000,
"index": 9,
"spendingProof": null,
"outputBlockId": "ad2d60a3078cbcc3142bcc29be8dceb250d77499e9bd2a3660ff5ffb910056b5",
"outputTransactionId": "fda1a8f6a7cdf58e6c9b2989e9c12374bc12dc91487cb67e58671aced35fc4e2",
"outputIndex": 1,
"outputGlobalIndex": 28634388,
"outputCreatedAt": 991784,
"outputSettledAt": 991787,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(1,31,6,-51,-5,-120,-1,-128,101,119,-15,97,-109,85,-3,-83,44,85,77,-107,-43,99,119,109,23,93,-93,-102,122,-14,-20,-13)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = 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}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c0d99fd3df85ae104721355c3391917df1890456ccc09401e67d68f89bd38ded",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c0d99fd3df85ae104721355c3391917df1890456ccc09401e67d68f89bd38ded]"
},
"R5": {
"serializedValue": "1a01205697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5697140dbf877970939f9789b001618f32e422710fa29f880cebf2b2e258e145]"
},
"R6": {
"serializedValue": "0e206728031cc2836e041856c67a9c49911d33878726175fc00a28fd1844e0601655",
"sigmaType": "Coll[SByte]",
"renderedValue": "6728031cc2836e041856c67a9c49911d33878726175fc00a28fd1844e0601655"
},
"R7": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "c470375ddde77f12b6a22c86a68748d473efa9258c9c64553b0d37a13a162a31",
"value": 1100000,
"index": 10,
"spendingProof": "84ca5545b6756a809702e0da0f7550fa44bc0230604666c5e1fe4f63576075f696847a9a39d09de8ee1412597718c4b6257d7331fea7c237",
"outputBlockId": "404da3665b91a659074bb77501cb54a375061838f89f43b3c2b07578af31fa39",
"outputTransactionId": "26387f1e03adbf3e90473a02d4df4f1aa3ff5d804a9e1f06d58233f3cd4c4008",
"outputIndex": 1,
"outputGlobalIndex": 28634497,
"outputCreatedAt": 991787,
"outputSettledAt": 991792,
"ergoTree": "0008cd02e65c9084ff008cbe2dde123b6670feb4a52d00b15f4ee59b8d3ecdc2310627a0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e65c90,23ea59,...)))}",
"address": "9gGWnuvz1ZsHRmYDfp9UgGsxdsAcEArF9WDVHDJGRkVD7ySoxoW",
"assets": [
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 0,
"amount": 4,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "dbfb57c84a385fbe37134e173285f53222c55f0b338f6dd9bf9aa35668938c11",
"value": 1100000,
"index": 11,
"spendingProof": "26be252e85067c11e078601b3056b7c0efb8b1b33245776c5853d35aa9e8372a60673678eff068af0fd4013da7b2ad34f24c77e762b8a158",
"outputBlockId": "ca0e0cd379749dd2e062a285ddae942b92dac660149b25673c68632529bec083",
"outputTransactionId": "a7f13987df27625091117cc91e90ed9b068c39dd0fe3c1bde7107c8763b87c93",
"outputIndex": 3,
"outputGlobalIndex": 28606558,
"outputCreatedAt": 991014,
"outputSettledAt": 991018,
"ergoTree": "0008cd02e65c9084ff008cbe2dde123b6670feb4a52d00b15f4ee59b8d3ecdc2310627a0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e65c90,23ea59,...)))}",
"address": "9gGWnuvz1ZsHRmYDfp9UgGsxdsAcEArF9WDVHDJGRkVD7ySoxoW",
"assets": [
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 0,
"amount": 8,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "984510d376cb1379a189b504f0ada0f0e368bec455fa14ac514db54d7e69fa86",
"value": 1100000,
"index": 0,
"outputBlockId": "bd0ff279d9cc4db8559cd4460250251be37579f5feae12968bd3df5903942821",
"outputTransactionId": "072930648ff86a527db31be3d265b202423fb434619889d91f2849da63cb6666",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6572676f,9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6,95915d95a1f7bfdf947a16cf689bebe6e9da4818bb318cebe59c5f28ef9890d6,72743d4c42bdd20a106230afefd47a0f6d381a9782638f0f032b56cd7816d288,a27cf938ef70a2b562ea6b7af2f766e92ac5250eba5c75011bc3d48f27275db3,94b2e054e071a4a0b7c5c634176f1bb1b761695140f467219e00fc6406ace057,c0d99fd3df85ae104721355c3391917df1890456ccc09401e67d68f89bd38ded,b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00,324af5e13b9221a75f88958331e0b55becbd8c29f54d2d09dcb412acc89634fc,a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01,de5fd2cf8d6793ac0eeb949d82bd757fbe3d02c50a3eedca0f79ff7f7a10ad11]"
},
"R5": {
"serializedValue": "110b00a09c01a09c01a09c01a09c01a09c01a09c01a09c01a09c01a09c01a09c01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,10000,10000,10000,10000,10000,10000,10000,10000,10000,10000]"
},
"R6": {
"serializedValue": "1104c8018c010228",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,70,1,20]"
}
}
}
],
"outputs": [
{
"boxId": "943d7a55968ceadd680f129fc20b6504ac014ea472bb4618ebed324bc2526dcc",
"transactionId": "bca4b7d526accf50326bdbe81ca8e8b4a9f362366238a9fd85b2bf07df8466a3",
"blockId": "75d28bb969b35893b7add10cd7fea0ab1ea2e107fa97c0c3335102a92c5ee2f1",
"value": 11000000,
"index": 0,
"globalIndex": 28634598,
"creationHeight": 991795,
"settlementHeight": 991798,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-103,111,100,62,-106,73,90,-53,-85,119,-96,126,40,-118,13,3,-106,16,-88,9,44,-95,-47,92,-86,-119,-103,-19,-107,-85,81,-110)\n3: 1\n4: 0\n5: Coll(52,67,-107,5,85,-58,8,-118,75,63,-67,-103,-72,83,-95,-37,-119,118,92,-100,123,-29,24,-90,19,77,-78,-18,15,-114,-53,-54)\n6: 7200\n7: Coll(43,-62,101,33,114,37,29,97,92,1,-33,-22,-90,105,-107,67,5,50,-27,-81,13,83,-74,3,-80,-113,-79,-84,54,121,4,-33)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)\n }), if (coll5 == placeholder[Coll[Byte]](2)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5), HEIGHT - placeholder[Int](6) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](7) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "21oSXpSmAC6qkvYUFMVCVau8CwPYUt3BoDtgJvvFnsw2bLmNZN8ZVV3cTUJFCTRnnyD8fHscr9P5rrXJNwX75FuqoPnfbocy7JaSrRZszkJgsFcTHqB3wGuWvSW9K4PFJmgpC4LX32TaNSfi5opXMp3e3tULzez42Qqce94YnSxsdxga5zvRL7g12ziVVEuTApwamEAQQ54gvmeceXUu1vkcYgwdPasNZsTzTb3Z1zGoGhtpzjuKbPcwhnmeb6CW9d9XEtG1ZVF3k3eEMLoeJJyoUgNWu2PttvXxhKe9V6p5N41QA3HxkvnH4DBs8AJKvFxBPFW7Q7Ucxv4R8ST4BqbcVzKuSen2jfYD9MGWGrGtTkMAzh",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 10,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6,95915d95a1f7bfdf947a16cf689bebe6e9da4818bb318cebe59c5f28ef9890d6,94b2e054e071a4a0b7c5c634176f1bb1b761695140f467219e00fc6406ace057,a27cf938ef70a2b562ea6b7af2f766e92ac5250eba5c75011bc3d48f27275db3,b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00,324af5e13b9221a75f88958331e0b55becbd8c29f54d2d09dcb412acc89634fc,a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01,de5fd2cf8d6793ac0eeb949d82bd757fbe3d02c50a3eedca0f79ff7f7a10ad11,72743d4c42bdd20a106230afefd47a0f6d381a9782638f0f032b56cd7816d288,c0d99fd3df85ae104721355c3391917df1890456ccc09401e67d68f89bd38ded]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[32663231383639653764376238306335313235343262663165653165363134363363326166383835393861303137653035366238303165376339383033643665,6572676f,63617264616e6f,3966364275434731367a647a594d6e41454c534b6a56774a5969314a355551623231535557417452455256334e4454786e4b6d,616464723171796a75346e6b6e357a7867717939616b7338683776667039363975613873366e3879386c656a37773566333739686d6b306c3437726d677a6b356334617677787976383272667270747037796d7332726e367833663236346e397374797a733235,00000000acda7d00,0000000077359400,000000002faf0800,657267,61737365743165707a37677a6a7167357079347872677073366363763235677a3767643676386535676d7878,33373765326331346636363537313837333736643735303430636132363135326661386664306530346430643636633537366439343430633963656530383231,00000000000f2214]"
},
"R6": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
},
"spentTransactionId": "1feed4ad7185408cd37fcf10b8573824013526f013db11bee79e43d4c6127433",
"mainChain": true
},
{
"boxId": "fdb169365a4a54b13bf88bda8db450bd109024d9c5e5f003185563a05ddf6352",
"transactionId": "bca4b7d526accf50326bdbe81ca8e8b4a9f362366238a9fd85b2bf07df8466a3",
"blockId": "75d28bb969b35893b7add10cd7fea0ab1ea2e107fa97c0c3335102a92c5ee2f1",
"value": 1100000,
"index": 1,
"globalIndex": 28634599,
"creationHeight": 991795,
"settlementHeight": 991798,
"ergoTree": "0008cd02e65c9084ff008cbe2dde123b6670feb4a52d00b15f4ee59b8d3ecdc2310627a0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e65c90,23ea59,...)))}",
"address": "9gGWnuvz1ZsHRmYDfp9UgGsxdsAcEArF9WDVHDJGRkVD7ySoxoW",
"assets": [
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 0,
"amount": 12,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "3fe4b6971ca65b4b06fd237b08b167dd80ffc718e28ddec743b8d97d720b41ec",
"mainChain": true
},
{
"boxId": "f5223ecf8bc7a245b1ee1cdff3d756548f750130f7e7c1b45a7cb78e79b8d08a",
"transactionId": "bca4b7d526accf50326bdbe81ca8e8b4a9f362366238a9fd85b2bf07df8466a3",
"blockId": "75d28bb969b35893b7add10cd7fea0ab1ea2e107fa97c0c3335102a92c5ee2f1",
"value": 1100000,
"index": 2,
"globalIndex": 28634600,
"creationHeight": 991795,
"settlementHeight": 991798,
"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": "4424b149acd2e5cfbcc520b79ea1acce9124008f4e14d1f2c344843a7b3543bc",
"mainChain": true
}
],
"size": 1808,
"isUnconfirmed": false
}