Transaction
ID: 5aeef59f1b...bff5
Inputs (19)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.036 ERG
Tokens:
54,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 297,829
Total coins transferred: 0.04 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001072 ERG
Raw Transaction Data
{
"id": "5aeef59f1b9c36c4f10bcbc4f6d0054bece24219974d8476b273ffe4e0ddbff5",
"blockId": "240ec1456ebdb55818ec6cf86aeae7f908e402cc96e27c3b8a01cf35e449df58",
"inclusionHeight": 1479856,
"timestamp": 1741788786778,
"index": 16,
"globalIndex": 8715293,
"numConfirmations": 297829,
"inputs": [
{
"boxId": "be20d535ee3019fcd948d26361a2e6bafde67ddf9c28666b2cc6cd3affa52997",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f14ed28b93feb9722463d8e63b3b40ff9c6f221c5d1f66320727756c740d4655",
"outputTransactionId": "a767ff9337a408ee5ed9e1e5f3c013203516c7e75fc267ff2bc63ede120c9972",
"outputIndex": 1,
"outputGlobalIndex": 46835137,
"outputCreatedAt": 1479839,
"outputSettledAt": 1479842,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2006504e89db2e036b1517073026e69afab8b7c1b4bbd88a0d20f2aec7ee609a51",
"sigmaType": "Coll[SByte]",
"renderedValue": "06504e89db2e036b1517073026e69afab8b7c1b4bbd88a0d20f2aec7ee609a51"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e209fd01b647ad96c95da772a8470fe2e54a1615e0027b4546779956ab19de1752c",
"sigmaType": "Coll[SByte]",
"renderedValue": "9fd01b647ad96c95da772a8470fe2e54a1615e0027b4546779956ab19de1752c"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "dc5d92fe7dd0c061d940f9fc919688118e79e97d85d053235577bba4bf9b586a",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "26c5fe24ecc83a34582bbda2348b18064eccafb783b7cfbb805538d2f6901ff2",
"outputTransactionId": "8ab0d726557f59130a2b336b330707a44af89d45812a082b9e0864401a860e94",
"outputIndex": 1,
"outputGlobalIndex": 46835833,
"outputCreatedAt": 1479846,
"outputSettledAt": 1479848,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208a08156242b8a5b3d5b66667492f6bca7e5f6130a7ac40dd85524faa3658695c",
"sigmaType": "Coll[SByte]",
"renderedValue": "8a08156242b8a5b3d5b66667492f6bca7e5f6130a7ac40dd85524faa3658695c"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e20d6704df9e82f882d66c6c29487c456848bc34b53c2a7da3df61aa2aba2920fae",
"sigmaType": "Coll[SByte]",
"renderedValue": "d6704df9e82f882d66c6c29487c456848bc34b53c2a7da3df61aa2aba2920fae"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "31eb73045995cc4315e0ad8316d767fdaba2c948c19850d7bf610c9e6bacd51a",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "26c5fe24ecc83a34582bbda2348b18064eccafb783b7cfbb805538d2f6901ff2",
"outputTransactionId": "af4a117c6f6b5838d5cd11344850c8c3849174e8d6e57f26637bc2759d8ba177",
"outputIndex": 1,
"outputGlobalIndex": 46835838,
"outputCreatedAt": 1479846,
"outputSettledAt": 1479848,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZsMEcMTZnZnsQm6jutdmSRzVW7WZoqN2c82khPoBUwF6GRVZdd6XhnNf9gbi3fsoZRM3cHmvz3sgJEJmy61cRxTKrM4q9ZfxYKBtyfNXLwD4CCeMedd6pxYDbgT6h3W5Qce2DZX51sw7aP6hu73HxJvcAirXLCYdZxi1nnGUbZYd8WNkU9zZ5ZGLVasrL49hVLNoJsP3ZYLpqzXchCL8RKv42qnLJ2kHc9BZJyv3QAYqMZTZSHQyRnYj4GAbdB3aYP71ge2HXCb6Arc6upjU4cWJPrPY4f8QcMdhXTrUtWp9u443Ekqdd3S2y2jfWLjDLsd7S9y7ASHPqx3GnCcPK4i9YnCQhdM8i5f59nA5ENgo24BTJvyQiRssDrCPpHxeTUp5ae2E5D4vyAnFfWCFfD6f5Z6DEDQvFnu1JLjjLcunp3rehGTSNgjyNNzGkjf6GF2y6enPuNcfpyNWsY2QJot4r1yZWqzeHvMgjbhnjpcManj1ikT1FFeg1oKZCCNBUbed4jYnmM1qFFmTYaovRUuEFXKFU2fhpz3EfEB79PUd5g5YMu1MTkKdUzLrEnoTxz9GKNpXCsoFvwC82hEuwXPcPFuMHdBFa4jtqSueVFgCPHHiXMz2koe6FGmCzY67q8215taocoiEC8NjGNTJ6Bzz3apbT5JP2hLVi6z11kNDQgtTA4gNRoftjZBBNVaFFj1DwURqEBzdawony7FvSpQYzgFEz5PKN7rAAr8Dsd4phbesmeASSph4aQLzB7iuibFSZXxyBm1w8GUEodaWEhh2UeTCJx2XtocU9aLYrUSgA6PgBF5NWzWwXDihESwyboSKnDb2mfHeGyjkjKSfQP2oP8Las1CeMXPdnwXUggckB44f82qjE5ENnqYhah4s5WkgPzzSvx42uhxc8VTbySPgiDefVGuFCEATX6fgAs5ikKh38TYWzLbUi9qM5Ncz9G7Z7Mc8RTdKtRLSxLUoPpiabXtyfdBkNr5PYhznMd3TPy9EHKinSzPV3GiJHGEkfYAbGmf2imbG2LrGtCEnyft3vBXYVocEnAXZsVKSRMPvkWsA7J2LRuQHrZCbVwY4LBDpfrHriEGUnAd168HB7DKPqRtCsVLgd2h6JgSHS4xXvfSwhG371VfTxJgAAtHUgKttcZfpZGXffLCwP7zmQGNVz6FJLsTEN3VXaQMQ7ooCeGHFdL7nbB7ejitfnWzWqgwqi5kv3nZEcmx4YfcnyvAjBosChtBMNfkMSVqa42Mx1xat4eJvHD5Jm1AwYijVqQjcXYh1ZzHqD",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a23002481ee5bd8b0f29754bb7cf90980b6e5666f1d25c7d7532673329de8882",
"sigmaType": "Coll[SByte]",
"renderedValue": "a23002481ee5bd8b0f29754bb7cf90980b6e5666f1d25c7d7532673329de8882"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e2050f67087e4002af0b6e5931f0b4494187c1126976b71b3de28187057ecf8167b",
"sigmaType": "Coll[SByte]",
"renderedValue": "50f67087e4002af0b6e5931f0b4494187c1126976b71b3de28187057ecf8167b"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "e656ba27b67ec42c7a5abe46a5e93dd4b2c99607cb670392011bff8dfa3f3678",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "4f5603b98bd6e9312972b4ae3d3851bee651d3b8e93c0f25a647d24b43d073d2",
"outputTransactionId": "875bf893bad2f59967aa08dec80f3fc4f3123afd1ce38365b0fc542e263195ba",
"outputIndex": 1,
"outputGlobalIndex": 46836005,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479850,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204d5a963014727424d941111bdeee8076c2e7647258badaf39a8b3caf74a0c358",
"sigmaType": "Coll[SByte]",
"renderedValue": "4d5a963014727424d941111bdeee8076c2e7647258badaf39a8b3caf74a0c358"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e20ef6765edd8416afd813dd5b770578dab70d780fa8ad110e6fa9deef29a811599",
"sigmaType": "Coll[SByte]",
"renderedValue": "ef6765edd8416afd813dd5b770578dab70d780fa8ad110e6fa9deef29a811599"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "899436dc6da908057caf5680737cabb230de0d4a2c8ee74afb4f1a5b36a19692",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "4f5603b98bd6e9312972b4ae3d3851bee651d3b8e93c0f25a647d24b43d073d2",
"outputTransactionId": "98e25381171bfae365ba53543eed8af3c8574cce983c8c03e7bc4d407995b83d",
"outputIndex": 1,
"outputGlobalIndex": 46836009,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479850,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2035c5522c70d2566fd5d980186c369551430e85a13482dfedeab6075d5e82078b",
"sigmaType": "Coll[SByte]",
"renderedValue": "35c5522c70d2566fd5d980186c369551430e85a13482dfedeab6075d5e82078b"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e20df97092d99c472ef60c20ac0cda1c9eb3ce9f3dcd20e4d6dd9dfdb0885696f79",
"sigmaType": "Coll[SByte]",
"renderedValue": "df97092d99c472ef60c20ac0cda1c9eb3ce9f3dcd20e4d6dd9dfdb0885696f79"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "77be8f912fa97c323cecf7cd5199f79e753971a132edc15079dfeb684d94393a",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "4f5603b98bd6e9312972b4ae3d3851bee651d3b8e93c0f25a647d24b43d073d2",
"outputTransactionId": "b0913b961ef6e5292b2329030034d5f82c5d0746226a2e307a49f5187ff222b1",
"outputIndex": 1,
"outputGlobalIndex": 46836014,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479850,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209ddca043da8d3015e7bf0123894200d7e0c7e7c44d86071658614c2a72315765",
"sigmaType": "Coll[SByte]",
"renderedValue": "9ddca043da8d3015e7bf0123894200d7e0c7e7c44d86071658614c2a72315765"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e2019c58337966a787f10fe362241b7d0bbf0329a65c891410a3e48a1dd82832442",
"sigmaType": "Coll[SByte]",
"renderedValue": "19c58337966a787f10fe362241b7d0bbf0329a65c891410a3e48a1dd82832442"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "5e4d76ce4855617856158883488b2e5d4aa8b856fe5377b5fda1836a14ddd1e8",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "4f5603b98bd6e9312972b4ae3d3851bee651d3b8e93c0f25a647d24b43d073d2",
"outputTransactionId": "e0a213254f6b5c914f362a1d539b6100f60252ba23b1cc646650464a57317993",
"outputIndex": 1,
"outputGlobalIndex": 46836019,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479850,
"ergoTree": "102404000e20a446b4906dd03501266d437f9411194b1bf67799953e5e1a1fdaba29767b6d78040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e209a92751aba5279affeca331af97d20873992baceb0c584197c1c0efed1f4dfbe04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZsMEcMTZnZnsQm6jutdmSRzVW7WZoqN2c82khPoBUwF6GRVZdd6XhnNf9gbi3fsoZRM3cHmvz3sgJEJmy61cRxTKrM4q9ZfxYKBtyfNXLwD4CCeMedd6pxYDbgT6h3W5Qce2DZX51sw7aP6hu73HxJvcAirXLCYdZxi1nnGUbZYd8WNkU9zZ5ZGLVasrL49hVLNoJsP3ZYLpqzXchCL8RKv42qnLJ2kHc9BZJyv3QAYqMZTZSHQyRnYj4GAbdB3aYP71ge2HXCb6Arc6upjU4cWJPrPY4f8QcMdhXTrUtWp9u443Ekqdd3S2y2jfWLjDLsd7S9y7ASHPqx3GnCcPK4i9YnCQhdM8i5f59nA5ENgo24BTJvyQiRssDrCPpHxeTUp5ae2E5D4vyAnFfWCFfD6f5Z6DEDQvFnu1JLjjLcunp3rehGTSNgjyNNzGkjf6GF2y6enPuNcfpyNWsY2QJot4r1yZWqzeHvMgjbhnjpcManj1ikT1FFeg1oKZCCNBUbed4jYnmM1qFFmTYaovRUuEFXKFU2fhpz3EfEB79PUd5g5YMu1MTkKdUzLrEnoTxz9GKNpXCsoFvwC82hEuwXPcPFuMHdBFa4jtqSueVFgCPHHiXMz2koe6FGmCzY67q8215taocoiEC8NjGNTJ6Bzz3apbT5JP2hLVi6z11kNDQgtTA4gNRoftjZBBNVaFFj1DwURqEBzdawony7FvSpQYzgFEz5PKN7rAAr8Dsd4phbesmeASSph4aQLzB7iuibFSZXxyBm1w8GUEodaWEhh2UeTCJx2XtocU9aLYrUSgA6PgBF5NWzWwXDihESwyboSKnDb2mfHeGyjkjKSfQP2oP8Las1CeMXPdnwXUggckB44f82qjE5ENnqYhah4s5WkgPzzSvx42uhxc8VTbySPgiDefVGuFCEATX6fgAs5ikKh38TYWzLbUi9qM5Ncz9G7Z7Mc8RTdKtRLSxLUoPpiabXtyfdBkNr5PYhznMd3TPy9EHKinSzPV3GiJHGEkfYAbGmf2imbG2LrGtCEnyft3vBXYVocEnAXZsVKSRMPvkWsA7J2LRuQHrZCbVwY4LBDpfrHriEGUnAd168HB7DKPqRtCsVLgd2h6JgSHS4xXvfSwhG371VfTxJgAAtHUgKttcZfpZGXffLCwP7zmQGNVz6FJLsTEN3VXaQMQ7ooCeGHFdL7nbB7ejitfnWzWqgwqi5kv3nZEcmx4YfcnyvAjBosChtBMNfkMSVqa42Mx1xat4eJvHD5Jm1AwYijVqQjcXYh1ZzHqD",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bdf563b55eda9241d742fef76bc5fe844b5be99cb6fed7e7c59117443dd27e41",
"sigmaType": "Coll[SByte]",
"renderedValue": "bdf563b55eda9241d742fef76bc5fe844b5be99cb6fed7e7c59117443dd27e41"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e20ac63ba9fec07768df5092d7e1dda7920c06f45297c4408bc8586f9601381acd5",
"sigmaType": "Coll[SByte]",
"renderedValue": "ac63ba9fec07768df5092d7e1dda7920c06f45297c4408bc8586f9601381acd5"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "65da8a4c191607c1a2c5349f454e663898fc219bd2a805ad8d140c5bb4e7389f",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "4f5603b98bd6e9312972b4ae3d3851bee651d3b8e93c0f25a647d24b43d073d2",
"outputTransactionId": "f057a480eb380705316dfb6a08f422e1c85ce87044097aa55d7ac95951249453",
"outputIndex": 1,
"outputGlobalIndex": 46836024,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479850,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20451d78e793f7f882e98de2b388d3abbff1e5ca7abab7d15cf0c0d0dc2dc888b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "451d78e793f7f882e98de2b388d3abbff1e5ca7abab7d15cf0c0d0dc2dc888b4"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e20b90aa6ac0bf4e160e88cc973421814952983acff9c0ee16f6ddc551b39488888",
"sigmaType": "Coll[SByte]",
"renderedValue": "b90aa6ac0bf4e160e88cc973421814952983acff9c0ee16f6ddc551b39488888"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "054d447b3f3ea0c289e95150c34dc5f7a4cfaabb7342ab4e86ea408f3a858227",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "d35b0c8f24cde276f3ab1ecfce449b6aaedcd6c820316e56a1315b9da16bbcb7",
"outputTransactionId": "2a3f5232202c32cafef5c61df7f82c9f717994550b569b4804abf59fc6d9b809",
"outputIndex": 1,
"outputGlobalIndex": 46836056,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209ffe51dd336aa8da7332e93f8f989a0427eba5a3008ddbe72fff93cff2a0d010",
"sigmaType": "Coll[SByte]",
"renderedValue": "9ffe51dd336aa8da7332e93f8f989a0427eba5a3008ddbe72fff93cff2a0d010"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e2041189d253869fa13658b73142d5535a3605042fd2ed5fedea7f131a44e65d05c",
"sigmaType": "Coll[SByte]",
"renderedValue": "41189d253869fa13658b73142d5535a3605042fd2ed5fedea7f131a44e65d05c"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "dea50c858a39e365c5ebf1170196f74a370f3b1c3dc903db6ab7a1d6b2aadffd",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "d35b0c8f24cde276f3ab1ecfce449b6aaedcd6c820316e56a1315b9da16bbcb7",
"outputTransactionId": "70ca812e4980a331b9b2c469bd14523228659a95cd952352a38a8df21fba0e99",
"outputIndex": 1,
"outputGlobalIndex": 46836061,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2061834b1341b1dba4534d93ba7f1ba0bdaba0d1d79624c837bb39fbccf2aef3b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "61834b1341b1dba4534d93ba7f1ba0bdaba0d1d79624c837bb39fbccf2aef3b1"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e20b9c98e969c41887e6d3eca9153adf815f8b9db50ef9ffcde745c6fa28257058f",
"sigmaType": "Coll[SByte]",
"renderedValue": "b9c98e969c41887e6d3eca9153adf815f8b9db50ef9ffcde745c6fa28257058f"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "132bd7e46817f2db0a1ab119d9af1191a6467f39ac9f95354353ee8b4202fb65",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "d35b0c8f24cde276f3ab1ecfce449b6aaedcd6c820316e56a1315b9da16bbcb7",
"outputTransactionId": "8f70be8da778a9778b850fd814bad7847aee9c26a0cd8143009bd66e04b45e40",
"outputIndex": 1,
"outputGlobalIndex": 46836066,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2067b999062441729ccb2ff18e56148dfe3b77c5f1b577ab21007f4ccc38ff9b71",
"sigmaType": "Coll[SByte]",
"renderedValue": "67b999062441729ccb2ff18e56148dfe3b77c5f1b577ab21007f4ccc38ff9b71"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e208fa4bb1949de9042b69d979a8b42cd0b9b2ca5ccc4d3451f4dc0858f9c38b7b6",
"sigmaType": "Coll[SByte]",
"renderedValue": "8fa4bb1949de9042b69d979a8b42cd0b9b2ca5ccc4d3451f4dc0858f9c38b7b6"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "f53a91e3db16bafdef17e1a85688cab440ff802bb143a273d408f34e55149c76",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "d35b0c8f24cde276f3ab1ecfce449b6aaedcd6c820316e56a1315b9da16bbcb7",
"outputTransactionId": "ab3982b64062ad658ca02e7db70a1248963fd9a450165f459fc3dbb448950af4",
"outputIndex": 1,
"outputGlobalIndex": 46836071,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20773d4518f29015fc0d297ab381cc330c6d7672b23b8826fc9efe12fe861a7a70",
"sigmaType": "Coll[SByte]",
"renderedValue": "773d4518f29015fc0d297ab381cc330c6d7672b23b8826fc9efe12fe861a7a70"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e20d924aa0bddbc253788363c87eebff9a7ce2704c60c1b9eb810469a9dcbea7999",
"sigmaType": "Coll[SByte]",
"renderedValue": "d924aa0bddbc253788363c87eebff9a7ce2704c60c1b9eb810469a9dcbea7999"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "911f5017d17ccea2870927773483c91217f06bb05e77d23f4359385e0fb31b56",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "d35b0c8f24cde276f3ab1ecfce449b6aaedcd6c820316e56a1315b9da16bbcb7",
"outputTransactionId": "b303f887d0b82c2e16f5a812f8f8c4b38d8903873a696e0b5e2f93ceee186039",
"outputIndex": 1,
"outputGlobalIndex": 46836076,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZsMEcMTZnZnsQm6jutdmSRzVW7WZoqN2c82khPoBUwF6GRVZdd6XhnNf9gbi3fsoZRM3cHmvz3sgJEJmy61cRxTKrM4q9ZfxYKBtyfNXLwD4CCeMedd6pxYDbgT6h3W5Qce2DZX51sw7aP6hu73HxJvcAirXLCYdZxi1nnGUbZYd8WNkU9zZ5ZGLVasrL49hVLNoJsP3ZYLpqzXchCL8RKv42qnLJ2kHc9BZJyv3QAYqMZTZSHQyRnYj4GAbdB3aYP71ge2HXCb6Arc6upjU4cWJPrPY4f8QcMdhXTrUtWp9u443Ekqdd3S2y2jfWLjDLsd7S9y7ASHPqx3GnCcPK4i9YnCQhdM8i5f59nA5ENgo24BTJvyQiRssDrCPpHxeTUp5ae2E5D4vyAnFfWCFfD6f5Z6DEDQvFnu1JLjjLcunp3rehGTSNgjyNNzGkjf6GF2y6enPuNcfpyNWsY2QJot4r1yZWqzeHvMgjbhnjpcManj1ikT1FFeg1oKZCCNBUbed4jYnmM1qFFmTYaovRUuEFXKFU2fhpz3EfEB79PUd5g5YMu1MTkKdUzLrEnoTxz9GKNpXCsoFvwC82hEuwXPcPFuMHdBFa4jtqSueVFgCPHHiXMz2koe6FGmCzY67q8215taocoiEC8NjGNTJ6Bzz3apbT5JP2hLVi6z11kNDQgtTA4gNRoftjZBBNVaFFj1DwURqEBzdawony7FvSpQYzgFEz5PKN7rAAr8Dsd4phbesmeASSph4aQLzB7iuibFSZXxyBm1w8GUEodaWEhh2UeTCJx2XtocU9aLYrUSgA6PgBF5NWzWwXDihESwyboSKnDb2mfHeGyjkjKSfQP2oP8Las1CeMXPdnwXUggckB44f82qjE5ENnqYhah4s5WkgPzzSvx42uhxc8VTbySPgiDefVGuFCEATX6fgAs5ikKh38TYWzLbUi9qM5Ncz9G7Z7Mc8RTdKtRLSxLUoPpiabXtyfdBkNr5PYhznMd3TPy9EHKinSzPV3GiJHGEkfYAbGmf2imbG2LrGtCEnyft3vBXYVocEnAXZsVKSRMPvkWsA7J2LRuQHrZCbVwY4LBDpfrHriEGUnAd168HB7DKPqRtCsVLgd2h6JgSHS4xXvfSwhG371VfTxJgAAtHUgKttcZfpZGXffLCwP7zmQGNVz6FJLsTEN3VXaQMQ7ooCeGHFdL7nbB7ejitfnWzWqgwqi5kv3nZEcmx4YfcnyvAjBosChtBMNfkMSVqa42Mx1xat4eJvHD5Jm1AwYijVqQjcXYh1ZzHqD",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c1787113933937afa3b1eb5ea40c69298e91e59591f6c9ec772db6afc663ac7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "c1787113933937afa3b1eb5ea40c69298e91e59591f6c9ec772db6afc663ac7f"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e207bf27840a49bcfb06b7b07ae4ebafdfbb84351a06b2a9bd9c445d100eb00fefa",
"sigmaType": "Coll[SByte]",
"renderedValue": "7bf27840a49bcfb06b7b07ae4ebafdfbb84351a06b2a9bd9c445d100eb00fefa"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "bc59653f7834a601b3c9afba8d957e2029d43a9d3387b557773ac8877eda62a5",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "d35b0c8f24cde276f3ab1ecfce449b6aaedcd6c820316e56a1315b9da16bbcb7",
"outputTransactionId": "b52cd30bad03002ac28389d171b72c764abe28076bc55c16d1e38b923f9a363e",
"outputIndex": 1,
"outputGlobalIndex": 46836081,
"outputCreatedAt": 1479849,
"outputSettledAt": 1479851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2044182b8ecf403458f8beb6bc013646dcd30c336acb2ea888f44ae893936591b6",
"sigmaType": "Coll[SByte]",
"renderedValue": "44182b8ecf403458f8beb6bc013646dcd30c336acb2ea888f44ae893936591b6"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e20a86bd1a59056620fb013557bece76865ab066dd49c79099640a0d712465f11ad",
"sigmaType": "Coll[SByte]",
"renderedValue": "a86bd1a59056620fb013557bece76865ab066dd49c79099640a0d712465f11ad"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "b479322fa2b9c02f1e768fb52d5d2e30ad5e8ce9f6a8ab14b8b8dee8e25e31f7",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "d35b0c8f24cde276f3ab1ecfce449b6aaedcd6c820316e56a1315b9da16bbcb7",
"outputTransactionId": "c192f043639a96c2ba8535c24f92cb77490339d319393f9e4680b59cf0513fbd",
"outputIndex": 1,
"outputGlobalIndex": 46836086,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e912713fde41c4f25b521aec91a3f83f346c0955fb9a996d6abe2be46026651c",
"sigmaType": "Coll[SByte]",
"renderedValue": "e912713fde41c4f25b521aec91a3f83f346c0955fb9a996d6abe2be46026651c"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e20112c1406b6d8d8e82cfc30866363add9fcfc9ca6fdea10d834cb415da4acefc8",
"sigmaType": "Coll[SByte]",
"renderedValue": "112c1406b6d8d8e82cfc30866363add9fcfc9ca6fdea10d834cb415da4acefc8"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "c9bd083924e27ae60921a7095ce9beabd5b4aef58c79c0c6043fcfc74a80b192",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "d35b0c8f24cde276f3ab1ecfce449b6aaedcd6c820316e56a1315b9da16bbcb7",
"outputTransactionId": "c75d739efa56453b39ff93bf98a55ee3e2c0351cf8b607fcb457e01fdde867f0",
"outputIndex": 1,
"outputGlobalIndex": 46836091,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20dca3aa311b2b660859b55c0a9951b968cf8fed4a9fcaed16ae9860d91896d0cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "dca3aa311b2b660859b55c0a9951b968cf8fed4a9fcaed16ae9860d91896d0cc"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e2000e64378ef6bc83923eb8b8e4b968620a0d13df7f63924c6baa0d2274c552492",
"sigmaType": "Coll[SByte]",
"renderedValue": "00e64378ef6bc83923eb8b8e4b968620a0d13df7f63924c6baa0d2274c552492"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "0986acceae53e36b5eb665ebcad1d3743d79d672a7c3322183b9813599acfea7",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "d35b0c8f24cde276f3ab1ecfce449b6aaedcd6c820316e56a1315b9da16bbcb7",
"outputTransactionId": "c86729124d302637cc8f2b2fb217722ea10a44689ac18a4033af8c4634fb81ae",
"outputIndex": 1,
"outputGlobalIndex": 46836096,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209b33a48613c4612acfd5721e903621ce1b53a2d79705811f006796586e462aa5",
"sigmaType": "Coll[SByte]",
"renderedValue": "9b33a48613c4612acfd5721e903621ce1b53a2d79705811f006796586e462aa5"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e20ee60d5e75dceac888592b5bea1339948ae9b9d1e2d58a815c25e660351cd53e5",
"sigmaType": "Coll[SByte]",
"renderedValue": "ee60d5e75dceac888592b5bea1339948ae9b9d1e2d58a815c25e660351cd53e5"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "76366db2dd9202a4c3c1b9ba9b82bfc7c4254ee3d0e8465b7b02e749071ef730",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "d35b0c8f24cde276f3ab1ecfce449b6aaedcd6c820316e56a1315b9da16bbcb7",
"outputTransactionId": "fcd8b73e546a0abe668f0f9604180be10fa4b5a15aff565b4d2dcfc87e3dfa82",
"outputIndex": 1,
"outputGlobalIndex": 46836101,
"outputCreatedAt": 1479848,
"outputSettledAt": 1479851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202102df4fef44cf82d866ebafc5f8d1df76321a470b50f0a3390576892847b7b2",
"sigmaType": "Coll[SByte]",
"renderedValue": "2102df4fef44cf82d866ebafc5f8d1df76321a470b50f0a3390576892847b7b2"
},
"R5": {
"serializedValue": "0e205b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b317352c654a335b6350ecf3b35a1b598400be3e493652cacbeff7185a5e232"
},
"R6": {
"serializedValue": "0e209b1268645ab06f34e5e940b63ee364bab95379c72c3f6607874753d817033a35",
"sigmaType": "Coll[SByte]",
"renderedValue": "9b1268645ab06f34e5e940b63ee364bab95379c72c3f6607874753d817033a35"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "f5496f3d92b8fdf3660b9cd8ede28055581d6706de73977e8768f1f2dd10707e",
"value": 4000000,
"index": 18,
"spendingProof": "30e30679b35e16ff5488b0c79f316f1ddb4a5b88b20d773918acb38806171bafe3e977873cd90108e66305781b04b2d34dfe40e8ed3e215f",
"outputBlockId": "959fc97f651d7d6868254cad9cc9c295b4a02375a915c62a0c500b155e017936",
"outputTransactionId": "4ef805d60d7cd95826fedb003da71493c83cd091301e1ef9364fb6de510861e2",
"outputIndex": 2,
"outputGlobalIndex": 46304692,
"outputCreatedAt": 1463177,
"outputSettledAt": 1463179,
"ergoTree": "0008cd03840d0a7b4bd42806075127f907d6010393695227218e596407f2b939a2767ef6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(840d0a,575f72,...)))}",
"address": "9hTxkmkSZBChHax2zaRH6WggCg9GbZpi4XmWuVmrLtHP77ZV4Q3",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "1f36cd2678f356c11c331a7d1d6f082909f32a4b10ac0586ac97d471fcdfe439",
"value": 1100000,
"index": 0,
"outputBlockId": "7455acea313ff80fc3cefd631a92713ae2ddd037db3ec14119989e18e78dd717",
"outputTransactionId": "87dfe253cb15e9b26f4b3d7624a772a6a73cb395c8835f8ee72ead0e80f00710",
"outputIndex": 1,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
}
}
},
{
"boxId": "86ab693f71bc3dcd86ab8e55a556beefc518e858492e6237f986a2b7d9f85caa",
"value": 1100000,
"index": 1,
"outputBlockId": "6c797774cc560376b6cf4ebc1b4d452a3b2c669a7820c9a598f0067d6963b1a7",
"outputTransactionId": "c4ef58e7469116b4f02408f8097f2b987a56b2282a06f8f1257e66366a1c97ee",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e08657468657265756d",
"sigmaType": "Coll[SByte]",
"renderedValue": "657468657265756d"
},
"R5": {
"serializedValue": "0534",
"sigmaType": "SLong",
"renderedValue": "26"
}
}
}
],
"outputs": [
{
"boxId": "825b22b4be317eaf349ffcbad5f78106be7c369181fcdc7d82baaef5ea526d17",
"transactionId": "5aeef59f1b9c36c4f10bcbc4f6d0054bece24219974d8476b273ffe4e0ddbff5",
"blockId": "240ec1456ebdb55818ec6cf86aeae7f908e402cc96e27c3b8a01cf35e449df58",
"value": 36000000,
"index": 0,
"globalIndex": 46836230,
"creationHeight": 1479853,
"settlementHeight": 1479856,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(-79,40,41,113,91,-31,27,63,-75,93,26,-27,-45,-77,-47,40,-114,-50,-92,92,-14,-28,-37,75,46,61,66,-24,-114,-79,114,0)\n10: 1\n11: 0\n12: Coll(101,-1,-109,-61,78,-93,68,54,-3,-107,77,20,-24,-71,-69,6,114,-78,-107,20,73,-77,79,32,-127,113,85,-91,-90,19,-124,91)\n13: 21600\n14: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 54000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201fb6ee9d517cbfe0155afd85b37378566717be688a23bf791c6db6f5f90fe961",
"sigmaType": "Coll[SByte]",
"renderedValue": "1fb6ee9d517cbfe0155afd85b37378566717be688a23bf791c6db6f5f90fe961"
},
"R5": {
"serializedValue": "1a0c4230783434616634353335353866303864623464623161646132663962353134373534396635326331323839306330356135346262616161613137663938303364333408657468657265756d0763617264616e6f2a3078366662616563366163373331323664386331636661663934643161653663613563373934353231636761646472317139377a716b66346d647237786636306d72756c6d3835766c7072747a32676c346d6d797872356e38383070783375746663357371396e6d376a38663371706d6b726b736534377a37366d666e6779387a6d353232673934716c75737679646a756c08000000b1333c2ec90800000003001def1f0800000000e39602c42a3078366330363062613733386166333961303966336234356163363438376466633965626238383566364330346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e3732373334353532343742307866356538333438626239643933653764393632363965313761393263336536356633323861316366336463383533393765393334633933383533353539623832080000000001502aef",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307834346166343533353538663038646234646231616461326639623531343735343966353263313238393063303561353462626161616131376639383033643334,657468657265756d,63617264616e6f,307836666261656336616337333132366438633163666166393464316165366361356337393435323163,61646472317139377a716b66346d647237786636306d72756c6d3835766c7072747a32676c346d6d797872356e38383070783375746663357371396e6d376a38663371706d6b726b736534377a37366d666e6779387a6d353232673934716c75737679646a756c,000000b1333c2ec9,00000003001def1f,00000000e39602c4,307836633036306261373338616633396130396633623435616336343837646663396562623838356636,30346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733343535323437,307866356538333438626239643933653764393632363965313761393263336536356633323861316366336463383533393765393334633933383533353539623832,0000000001502aef]"
},
"R6": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
},
"R7": {
"serializedValue": "0424",
"sigmaType": "SInt",
"renderedValue": "18"
}
},
"spentTransactionId": "00b63fed4c6f2111684ec553da342ab07277310a4dd213424153cad678f00c75",
"mainChain": true
},
{
"boxId": "e1312a637f0bec27bf969da34259bdf58e6974d3799a31eebfc225a8782bb640",
"transactionId": "5aeef59f1b9c36c4f10bcbc4f6d0054bece24219974d8476b273ffe4e0ddbff5",
"blockId": "240ec1456ebdb55818ec6cf86aeae7f908e402cc96e27c3b8a01cf35e449df58",
"value": 2000000,
"index": 1,
"globalIndex": 46836231,
"creationHeight": 1479853,
"settlementHeight": 1479856,
"ergoTree": "0008cd03840d0a7b4bd42806075127f907d6010393695227218e596407f2b939a2767ef6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(840d0a,575f72,...)))}",
"address": "9hTxkmkSZBChHax2zaRH6WggCg9GbZpi4XmWuVmrLtHP77ZV4Q3",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "3b0ec9306f25118fe821ab2ec40cc2421db8814295e0da84aeb1fa563eb09fbc",
"mainChain": true
},
{
"boxId": "f9a665a5229b595f35a42b297ad9fcc231c26b30a77c6e5de9ef32323c22fcbe",
"transactionId": "5aeef59f1b9c36c4f10bcbc4f6d0054bece24219974d8476b273ffe4e0ddbff5",
"blockId": "240ec1456ebdb55818ec6cf86aeae7f908e402cc96e27c3b8a01cf35e449df58",
"value": 2000000,
"index": 2,
"globalIndex": 46836232,
"creationHeight": 1479853,
"settlementHeight": 1479856,
"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": "11f64745e71d97d8af3069c999877fa39517a9c04076540cea1ab7d62af52ec8",
"mainChain": true
}
],
"size": 1865,
"isUnconfirmed": false
}