Transaction
ID: 2b0cd135c7...299e
Inputs (28)
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:
0.002 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:
0.018 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.054 ERG
Tokens:
81,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.016 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 335,768
Total coins transferred: 0.072 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000921 ERG
Raw Transaction Data
{
"id": "2b0cd135c743735bec972b75ecda591fee07cb13a59587a568e38a8bda2c299e",
"blockId": "fcec02078535e1fb51a9d04903ce77bf5a7ee35c1e3c926e6819c642ffb44dd0",
"inclusionHeight": 1431329,
"timestamp": 1735911459995,
"index": 7,
"globalIndex": 8372167,
"numConfirmations": 335768,
"inputs": [
{
"boxId": "176eac37c4485db55b8ff554d7a161ff5a42f80e4efd8c2de48774e0170161db",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "8d045ff91fdcb1856d7d108f1663a5d374eebf7f850264f1db175bb586a73a9e",
"outputTransactionId": "6d192615956e7b0177304e429e155177ac40c7724483a7449d7de8005034354d",
"outputIndex": 1,
"outputGlobalIndex": 45314458,
"outputCreatedAt": 1431313,
"outputSettledAt": 1431315,
"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": "0e2079b0d1af46887c7ba80ab5e4029e664d1dfe6216f400e77d3f6481b3bf50870a",
"sigmaType": "Coll[SByte]",
"renderedValue": "79b0d1af46887c7ba80ab5e4029e664d1dfe6216f400e77d3f6481b3bf50870a"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20c872186ccb6fa46de825f47706953a001fe46bb522db79ba47fc828738c6cf65",
"sigmaType": "Coll[SByte]",
"renderedValue": "c872186ccb6fa46de825f47706953a001fe46bb522db79ba47fc828738c6cf65"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "7a38488fa43bd9956da927f168648b2f20bf186cba35459e29e12d4cfbb1ee88",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "8d045ff91fdcb1856d7d108f1663a5d374eebf7f850264f1db175bb586a73a9e",
"outputTransactionId": "87b4e5810fdd532b9b065d4688e5a543d8d30e6e28f33f339a36200f6c8f2487",
"outputIndex": 1,
"outputGlobalIndex": 45314463,
"outputCreatedAt": 1431313,
"outputSettledAt": 1431315,
"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": "0e20ac0cdfc9e86af253f157314e1b38115496dcaefef10ea6fd680757df402a50ec",
"sigmaType": "Coll[SByte]",
"renderedValue": "ac0cdfc9e86af253f157314e1b38115496dcaefef10ea6fd680757df402a50ec"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20d3c7f38d107d317d146d50b0bcf94e515fb570623abd25e87deabe6d7a8823cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "d3c7f38d107d317d146d50b0bcf94e515fb570623abd25e87deabe6d7a8823cc"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "e32dab4f1b3fd0fa8d2dc4e7db4ac3003f2df8216f5cd9e255f0c8d829b1036d",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "8d045ff91fdcb1856d7d108f1663a5d374eebf7f850264f1db175bb586a73a9e",
"outputTransactionId": "be1c11b351413f6e06c26cf72eebd272c245c88a89b26f4f36839d6ce3323ed2",
"outputIndex": 1,
"outputGlobalIndex": 45314468,
"outputCreatedAt": 1431313,
"outputSettledAt": 1431315,
"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": "0e2076d63e480c7f54ddffc0528c721dd332eb7ffebd09d622fcb81c6569f44578f9",
"sigmaType": "Coll[SByte]",
"renderedValue": "76d63e480c7f54ddffc0528c721dd332eb7ffebd09d622fcb81c6569f44578f9"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20587acb8244c9b160df4bd3609cc47374e1eec2b38ec502f182d4d451ffb5b88e",
"sigmaType": "Coll[SByte]",
"renderedValue": "587acb8244c9b160df4bd3609cc47374e1eec2b38ec502f182d4d451ffb5b88e"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "b709a7437219dd07a0f3b662bd0a965b1951d83e60e8878a605a313738ce64b0",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "6a8c36be0c4de3afea582ba58fa46165b5bca367163e1b72778cddbfccf08d43",
"outputTransactionId": "fa29432ba306fb3a3f8f0b70bcf904bdfe02c5b7a713b00555ddb42741f65335",
"outputIndex": 1,
"outputGlobalIndex": 45314572,
"outputCreatedAt": 1431319,
"outputSettledAt": 1431321,
"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": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20ed94522cd60cd49baccb896c501c6a31895fed8a3b8deec1f0b471d69df9ecfa",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed94522cd60cd49baccb896c501c6a31895fed8a3b8deec1f0b471d69df9ecfa"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "93503e2ba0c4f33daa30f0bf7ef18d8e8019d5a3ab902bbb0e3ba893528f3712",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "6a8c36be0c4de3afea582ba58fa46165b5bca367163e1b72778cddbfccf08d43",
"outputTransactionId": "687756ce27882cfc09e6870338d40607d01610696b654e35f2180d44213a1e19",
"outputIndex": 1,
"outputGlobalIndex": 45314576,
"outputCreatedAt": 1431319,
"outputSettledAt": 1431321,
"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": "0e20a23002481ee5bd8b0f29754bb7cf90980b6e5666f1d25c7d7532673329de8882",
"sigmaType": "Coll[SByte]",
"renderedValue": "a23002481ee5bd8b0f29754bb7cf90980b6e5666f1d25c7d7532673329de8882"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e2092e2e03f5f5711a1e308408e56bc8489b57b63c27658cc69d3c2454ec14bc08c",
"sigmaType": "Coll[SByte]",
"renderedValue": "92e2e03f5f5711a1e308408e56bc8489b57b63c27658cc69d3c2454ec14bc08c"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "65ef037c6a95c6efa362edd4056a77420aadad1a03b306e5343869ce22ff171b",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "620d547d00300cd88dd973e2d85c78e6402d8f6ea0a16468ad82e5778a748382",
"outputTransactionId": "8ff5aabc18db9e0edb1813bdcec0f2f560cd3788f3ff6e2a6b9eff2cb573d96e",
"outputIndex": 1,
"outputGlobalIndex": 45314600,
"outputCreatedAt": 1431321,
"outputSettledAt": 1431323,
"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": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20cc42d93e5e9e9c1dfd8755a172f8a4df4672af548ec781b72b16d38332595807",
"sigmaType": "Coll[SByte]",
"renderedValue": "cc42d93e5e9e9c1dfd8755a172f8a4df4672af548ec781b72b16d38332595807"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "8045bbb6df3173b6d63010bb7c9a38e8507259c2b30b3a9b25a55512c17f038c",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "51a5d08500dcdcac956c957ce649659e33903dfd1053a70d120fd31325696eee",
"outputIndex": 1,
"outputGlobalIndex": 45314646,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e2068923bf7a54874caabf5f0892e4c17b564024da3ac2e7a5c3e3f15f809eb24a1",
"sigmaType": "Coll[SByte]",
"renderedValue": "68923bf7a54874caabf5f0892e4c17b564024da3ac2e7a5c3e3f15f809eb24a1"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e2037c76b122ccc2ba80fa8998f190acd1df130d7809bcbbf6922d2e61cb95d78c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "37c76b122ccc2ba80fa8998f190acd1df130d7809bcbbf6922d2e61cb95d78c6"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "68c6beedffa00dda8b6ae5502882f8dbb25807ce0d555500286a399d4ba2b9f8",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "6181ac7e42298b56c6118bfd22fc40697b4433b10486199c5867226907a1856f",
"outputIndex": 1,
"outputGlobalIndex": 45314650,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e2067b999062441729ccb2ff18e56148dfe3b77c5f1b577ab21007f4ccc38ff9b71",
"sigmaType": "Coll[SByte]",
"renderedValue": "67b999062441729ccb2ff18e56148dfe3b77c5f1b577ab21007f4ccc38ff9b71"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e205fc73da26bfb5d89b7fba53afe35a6083d26bf416a1c0afc4d4ec1141828a50a",
"sigmaType": "Coll[SByte]",
"renderedValue": "5fc73da26bfb5d89b7fba53afe35a6083d26bf416a1c0afc4d4ec1141828a50a"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "83349a6b7086024911254935a82f49e720e3c38f602e9728192d110b557d0449",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "d0bcea99119803abb4474e8c58b10a37f53186d42580774e130f0f2182c2ce67",
"outputIndex": 1,
"outputGlobalIndex": 45314654,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20ce3bfa4c2e9cf9dfeab9cd337532b2be852f35e5928ed699c76f20aa6f21b5ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "ce3bfa4c2e9cf9dfeab9cd337532b2be852f35e5928ed699c76f20aa6f21b5ae"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "9bc5337c1c8ca91de0d632cc87f09696a9dbdde52d33fe6479eed2d1f044301c",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "3896a17ceb22d72410ec99b8f9e60e1e6d81f209c9515e764e270f45d08179e2",
"outputIndex": 1,
"outputGlobalIndex": 45314658,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e20e8e21b614376cf31a07755aab5aeeee1948b75beab968fbf4d9595790644443a",
"sigmaType": "Coll[SByte]",
"renderedValue": "e8e21b614376cf31a07755aab5aeeee1948b75beab968fbf4d9595790644443a"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20f0f0f9a1c1f50a9fc3d0e119a76b98f70afafea5137931c2f39c0f439065d35a",
"sigmaType": "Coll[SByte]",
"renderedValue": "f0f0f9a1c1f50a9fc3d0e119a76b98f70afafea5137931c2f39c0f439065d35a"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "71a74fae2db1cc7bf5e02e154bf062152982ac34710f058a327e02876bee5336",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "422818a2b8e0ee4bdc77724e36f9cd6296787b8fb7ae7fa25739f5cc9b93b7a8",
"outputIndex": 1,
"outputGlobalIndex": 45314663,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e2068c4d5ed45f0910e584fe449bd79124987c8d10ed4592e3b3d4681a23c4cf4e9",
"sigmaType": "Coll[SByte]",
"renderedValue": "68c4d5ed45f0910e584fe449bd79124987c8d10ed4592e3b3d4681a23c4cf4e9"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20be8d8c6cabc26c127c43a7682278455563cec8dd7fcdabd600a9ef92344a8e7e",
"sigmaType": "Coll[SByte]",
"renderedValue": "be8d8c6cabc26c127c43a7682278455563cec8dd7fcdabd600a9ef92344a8e7e"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "ae7ea520a7588bc5c7710ac4b0c9eab394c6f6fdb58b19d027959fbbae204ad9",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "42ad35484d356272abb64d04d27958171343d8b5fe457b23b4323c7d8d4af289",
"outputIndex": 1,
"outputGlobalIndex": 45314668,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e20bd24bfe51c92a64cdf588284476dc2ccba569b3566d20781ba5a69815af743fa",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd24bfe51c92a64cdf588284476dc2ccba569b3566d20781ba5a69815af743fa"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e2079fe7dd0471e90ced90faad7d142685fcbd1be8d45aaa10a4767b844cbc3f27d",
"sigmaType": "Coll[SByte]",
"renderedValue": "79fe7dd0471e90ced90faad7d142685fcbd1be8d45aaa10a4767b844cbc3f27d"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "3b5a49d0e2d403c54bbd1677525da4c0ce60dcf70f5af90d1e560d4077d49bcf",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "85627927cfe1c476af094552c75aebe21a516afc322b12ca9c7470e2b4033dca",
"outputIndex": 1,
"outputGlobalIndex": 45314673,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e20773d4518f29015fc0d297ab381cc330c6d7672b23b8826fc9efe12fe861a7a70",
"sigmaType": "Coll[SByte]",
"renderedValue": "773d4518f29015fc0d297ab381cc330c6d7672b23b8826fc9efe12fe861a7a70"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e202bb9df1aa3ec357ccef201416cc314b07c679bfb281ab38ac8d19c68705044d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "2bb9df1aa3ec357ccef201416cc314b07c679bfb281ab38ac8d19c68705044d2"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "4b2ee28e62f9188985d3b6c2662ce35b267f52c5fd3601b8ae3c5aed26e86d40",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "97ca3c68d881429ef73dbfc7141d9575a533e17c346c030a584b0486eb526d3b",
"outputIndex": 1,
"outputGlobalIndex": 45314678,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e205c0dc8911f73b907b048db2b3c885850f10dc5401f25dd59b7923481350dc2fd",
"sigmaType": "Coll[SByte]",
"renderedValue": "5c0dc8911f73b907b048db2b3c885850f10dc5401f25dd59b7923481350dc2fd"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "fd51381b7a48becc860650cbc8a8e4c793dc02eea0aa5860729a2ee4a62bf166",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "9f0a5c4d6f2bc6bb0749c29842e0a3876e31e112f7960f13283d97e5f4b5b141",
"outputIndex": 1,
"outputGlobalIndex": 45314683,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e202ff38fbb6ba2009ebe612eaad801bc297b2f0c19d28242317c88f9357694c77b",
"sigmaType": "Coll[SByte]",
"renderedValue": "2ff38fbb6ba2009ebe612eaad801bc297b2f0c19d28242317c88f9357694c77b"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20b7970a319a8659d7c4002db4669442996bba00929c8f4603d7e418189c7d45b5",
"sigmaType": "Coll[SByte]",
"renderedValue": "b7970a319a8659d7c4002db4669442996bba00929c8f4603d7e418189c7d45b5"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "bf2d283b81668bf02412def66dc04c83382e2fd7d0a381ec5be6ba2eefa110cc",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "a109aada51c838b2b54074f4e8d5676ee6351669186cc4b85ce14a445535b529",
"outputIndex": 1,
"outputGlobalIndex": 45314688,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e20bdf563b55eda9241d742fef76bc5fe844b5be99cb6fed7e7c59117443dd27e41",
"sigmaType": "Coll[SByte]",
"renderedValue": "bdf563b55eda9241d742fef76bc5fe844b5be99cb6fed7e7c59117443dd27e41"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e204bd37f3b126652d95a9767e9c0f8ee5e16c3a1dd17d5ed29e2efcf4a0569ed08",
"sigmaType": "Coll[SByte]",
"renderedValue": "4bd37f3b126652d95a9767e9c0f8ee5e16c3a1dd17d5ed29e2efcf4a0569ed08"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "8d093b402458e5ea6154fe7de12a0512923b07b14261e16200e81e7431ca6515",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "a408041a1e9a44ad384268133121e765b1ce85b496482124476338f743d2e42a",
"outputIndex": 1,
"outputGlobalIndex": 45314693,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e209b33a48613c4612acfd5721e903621ce1b53a2d79705811f006796586e462aa5",
"sigmaType": "Coll[SByte]",
"renderedValue": "9b33a48613c4612acfd5721e903621ce1b53a2d79705811f006796586e462aa5"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e2096f70467950d137da7d887ecd95e69251e14227b35921dcea1adc398802b4ca4",
"sigmaType": "Coll[SByte]",
"renderedValue": "96f70467950d137da7d887ecd95e69251e14227b35921dcea1adc398802b4ca4"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "939363c25fc2f2f84614969f2a9c430c9b00fe029ee50413ce5dadf948a13c60",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "b4d272a2536a7cf4ca1bd30907ec9d5f1e0569ba57742d5568400101b768a5fc",
"outputIndex": 1,
"outputGlobalIndex": 45314698,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20aa91509847d287058db2ec624a241a41a7976a99a4ec16c4257e66dc0aba0838",
"sigmaType": "Coll[SByte]",
"renderedValue": "aa91509847d287058db2ec624a241a41a7976a99a4ec16c4257e66dc0aba0838"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "4de4ee464a1e11f99ffcdcfed094d641784d0fb1774c5e08bb607052872d9502",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "b9f235a4e509ad600221f28028ac189f38c234f068129a306b7bde7c200cf536",
"outputIndex": 1,
"outputGlobalIndex": 45314703,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e20f45c3bac3e598eb013460b0274266da0e09bc093763fa6f753f462e85edb74ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "f45c3bac3e598eb013460b0274266da0e09bc093763fa6f753f462e85edb74ca"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20d64d5c9300c97f502155bb7a1a489f7b63f6d5ee108c59408d418a74f3a5f805",
"sigmaType": "Coll[SByte]",
"renderedValue": "d64d5c9300c97f502155bb7a1a489f7b63f6d5ee108c59408d418a74f3a5f805"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "d45ecfde93dce68cb28a5edf7dd0633d1d42df256a407b8eddb0de0d716a35a3",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "c368ac97c25bf8fa28f67f0589894fd27409e23d67cc35a96e873afcd2af5a04",
"outputIndex": 1,
"outputGlobalIndex": 45314708,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e207c445a4ad72166bbe833d06eba11701a9fed158b8c497f406e989f7b0d26bb2d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7c445a4ad72166bbe833d06eba11701a9fed158b8c497f406e989f7b0d26bb2d"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e209b944a28c458656ad9e5204708de11847fd7789be4801d41eda7db1ec043a2c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "9b944a28c458656ad9e5204708de11847fd7789be4801d41eda7db1ec043a2c5"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "604591e69aec5e5e0c87448a0ce59b2a38dc3a3239c30c5f2d9d0831bf5d6112",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "c71b4b800a02108bf36e952aa2219558a37137d5c036830732c7bc06a9614e5a",
"outputIndex": 1,
"outputGlobalIndex": 45314713,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e20c1787113933937afa3b1eb5ea40c69298e91e59591f6c9ec772db6afc663ac7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "c1787113933937afa3b1eb5ea40c69298e91e59591f6c9ec772db6afc663ac7f"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e2090e554f81adb98fe11ee95f3d0b46c63ee3cd2aa2e980861f19d4d7ad79c0de8",
"sigmaType": "Coll[SByte]",
"renderedValue": "90e554f81adb98fe11ee95f3d0b46c63ee3cd2aa2e980861f19d4d7ad79c0de8"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "d7b596e308b6e90ad440ca620ea1f82c40bd94e36973534ab208a9ae5ffea5fe",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "cf71a95c79e5162c71fd503f169142ceda791d2c9190bff76d8308e33f3c11ac",
"outputIndex": 1,
"outputGlobalIndex": 45314718,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20c01d0d1d1b344eb8120f76a13a0f3484f2608a3a5560555a69da5a6124b92d9c",
"sigmaType": "Coll[SByte]",
"renderedValue": "c01d0d1d1b344eb8120f76a13a0f3484f2608a3a5560555a69da5a6124b92d9c"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "1cf84529c759281c435391baf72f1d64670bd1c97e3b6ffceb1f8dd463d270d9",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "d91b6a1408024dc9925cbdd6a3170a7be48ed6df00d3635299dabc72086ff00d",
"outputIndex": 1,
"outputGlobalIndex": 45314723,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e20f27e19b30648fe7d8abcda9c3d63cf33d8e6008cb49bf9d097b9c867450af50a",
"sigmaType": "Coll[SByte]",
"renderedValue": "f27e19b30648fe7d8abcda9c3d63cf33d8e6008cb49bf9d097b9c867450af50a"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e2064dfc4d9223bd384e0da8c6a0e06d5c690692ff657a536f9b86db0eb37a2dd13",
"sigmaType": "Coll[SByte]",
"renderedValue": "64dfc4d9223bd384e0da8c6a0e06d5c690692ff657a536f9b86db0eb37a2dd13"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "1673932458bd0c492b8f15d355ae0422015b87332e31c7372e4ddd0ec9065510",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "dd7ae25b379d8f3d99021e81e0749bd5857fbaefd2481cefe33909f878e6dec8",
"outputIndex": 1,
"outputGlobalIndex": 45314728,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e20ef70b252e911cba6ca36080094315a89798d2f0d0f1251e519314a056de2829d",
"sigmaType": "Coll[SByte]",
"renderedValue": "ef70b252e911cba6ca36080094315a89798d2f0d0f1251e519314a056de2829d"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20b2645b4e94c6ddec0a9adc45cc4dec8aaed4db7070013dda774206239e6dabe0",
"sigmaType": "Coll[SByte]",
"renderedValue": "b2645b4e94c6ddec0a9adc45cc4dec8aaed4db7070013dda774206239e6dabe0"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "a17a978b1da11198f3c6436bbd658a4aec3044d907bcb03bcb351dde0f511848",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "e2cef7a228e8d26a05b9e0141b3c3a35144a4712b4b202779cc9d65bc0bab023",
"outputIndex": 1,
"outputGlobalIndex": 45314733,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "0e2061834b1341b1dba4534d93ba7f1ba0bdaba0d1d79624c837bb39fbccf2aef3b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "61834b1341b1dba4534d93ba7f1ba0bdaba0d1d79624c837bb39fbccf2aef3b1"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20a336a7d0fb49bfef77025335a60e796098ea4f84d2d8bb3c73e3c55e3a16e01b",
"sigmaType": "Coll[SByte]",
"renderedValue": "a336a7d0fb49bfef77025335a60e796098ea4f84d2d8bb3c73e3c55e3a16e01b"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "5bdf7b22243bd8979587f747b83b6be390a2326ab7d596b1650ebdc654bf6c6c",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "e52e71127a20c827293b6aa196f730c690c4f3eeb4669d23e9d844585d922972",
"outputIndex": 1,
"outputGlobalIndex": 45314738,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203c487e027dd6ac21c91104f707a1950111717a141b06876a652ddf8999df48c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "3c487e027dd6ac21c91104f707a1950111717a141b06876a652ddf8999df48c2"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e20bc6809f341f4a15c7bde485a7960cd861eb0c3657f0a79d53e9daa3c54d5dd44",
"sigmaType": "Coll[SByte]",
"renderedValue": "bc6809f341f4a15c7bde485a7960cd861eb0c3657f0a79d53e9daa3c54d5dd44"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "fafb4ecb700e14854b86ed95c1550c5ab8c955de2fca2e596f67d76011e9a2a8",
"value": 2000000,
"index": 26,
"spendingProof": null,
"outputBlockId": "ac77a9f9ab01f08279f21515c935f35ea0cb6ca261b6519e26a22f5c044dc69f",
"outputTransactionId": "18d22648689667de58854151fe37dc0f0169cb8a71d3bdc3e2f52882acb8b310",
"outputIndex": 1,
"outputGlobalIndex": 45314743,
"outputCreatedAt": 1431325,
"outputSettledAt": 1431327,
"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": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e542dc8d3c7c9d9711b4a88b7fdf1a0427eb90bcb44b47eefadd4047896c3b0f",
"sigmaType": "Coll[SByte]",
"renderedValue": "e542dc8d3c7c9d9711b4a88b7fdf1a0427eb90bcb44b47eefadd4047896c3b0f"
},
"R5": {
"serializedValue": "0e2026ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7",
"sigmaType": "Coll[SByte]",
"renderedValue": "26ff5cca7a40e90033e5ec991be93c7aa4da0d0e7fcc224503887f6f35f18ed7"
},
"R6": {
"serializedValue": "0e2026167a48ebf0768ab878a183d175157c4dc7249bd4136122c74721f0ac67abb4",
"sigmaType": "Coll[SByte]",
"renderedValue": "26167a48ebf0768ab878a183d175157c4dc7249bd4136122c74721f0ac67abb4"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "0173a34da3f56a824672cdd1a1b7a0eb6a05e3211f9242781229545cbc8eb0bb",
"value": 18000000,
"index": 27,
"spendingProof": "4ab402c4b13142199f4b0a00c608b78cd14451289435150d6d519bc093612ee104ce35388456d523c6c394d0f3cafa2d008f0b231de53a17",
"outputBlockId": "47709aa1e070a00805fb291dcbb4df4324325f4f0d3b47bebf39aefb8ff023a8",
"outputTransactionId": "39a29bd359ffc3417cf8b5112b6883c99ac7cc7cc9b48b79baef107d79d36e18",
"outputIndex": 1,
"outputGlobalIndex": 44412789,
"outputCreatedAt": 1408847,
"outputSettledAt": 1408849,
"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": "2d8b148ad60bcc8ab5755e8daecbbef17c1e975048c54c04f732ce522b532534",
"value": 1100000,
"index": 1,
"outputBlockId": "e61682fd6f5665fc9ec35a174a68668cdfce187486c745f4745e7b820d839a08",
"outputTransactionId": "996d6f8c4a87c83f40a8f45d8d9d4a355b4add2e204f6adb2d5b93b77989bf4f",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e08657468657265756d",
"sigmaType": "Coll[SByte]",
"renderedValue": "657468657265756d"
},
"R5": {
"serializedValue": "0544",
"sigmaType": "SLong",
"renderedValue": "34"
}
}
}
],
"outputs": [
{
"boxId": "ea1f7f0822f9a4aa96e9062c3ac97cad50e42b01e15e446fb014d88db9f7d5fc",
"transactionId": "2b0cd135c743735bec972b75ecda591fee07cb13a59587a568e38a8bda2c299e",
"blockId": "fcec02078535e1fb51a9d04903ce77bf5a7ee35c1e3c926e6819c642ffb44dd0",
"value": 54000000,
"index": 0,
"globalIndex": 45314804,
"creationHeight": 1431327,
"settlementHeight": 1431329,
"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": 81000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a84d9e5d30cb0d181bc1faaa1c8a9bad47a132621bd692995a1aead0086a3669",
"sigmaType": "Coll[SByte]",
"renderedValue": "a84d9e5d30cb0d181bc1faaa1c8a9bad47a132621bd692995a1aead0086a3669"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307836343934353534646231366630643338336261383632363765336337386662376434336333306265633766643566646563313165663465623035666361623734,657468657265756d,63617264616e6f,307830356362626563313065343364616233303364616634333262623463356466653264383236313562,616464723171786364617a647138763764773064726b6866726863636b34773065376d61326d327072703832663437337a65326e7977336b37687476703272306c643834716b7a337978367836756565367837783365646b73396c337870796e71676561646465,0000000056933aa7,000000000377c768,00000000013d91cd,307830663036383433326531613163363537346661643162633866663735316237366435663935643433,61303032386633353061616162653035343566646362353662303339626662303865346262346438633464376333633764343831633233352e34383466353334623539,307834616137313533653466656238613666333939323461346362643632373130333434333766366337636136363164656530623466653439666139343965666633,000000000148bcde]"
},
"R6": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
},
"R7": {
"serializedValue": "0436",
"sigmaType": "SInt",
"renderedValue": "27"
}
},
"spentTransactionId": "eb79c0069010e833601b50c02501ff6685c22aae642ebce5f7850689c76cf052",
"mainChain": true
},
{
"boxId": "302ee8a9f14ec551bda16529d68d136202a0bda062cd9b90d523c80d1de5dc81",
"transactionId": "2b0cd135c743735bec972b75ecda591fee07cb13a59587a568e38a8bda2c299e",
"blockId": "fcec02078535e1fb51a9d04903ce77bf5a7ee35c1e3c926e6819c642ffb44dd0",
"value": 16000000,
"index": 1,
"globalIndex": 45314805,
"creationHeight": 1431327,
"settlementHeight": 1431329,
"ergoTree": "0008cd03840d0a7b4bd42806075127f907d6010393695227218e596407f2b939a2767ef6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(840d0a,575f72,...)))}",
"address": "9hTxkmkSZBChHax2zaRH6WggCg9GbZpi4XmWuVmrLtHP77ZV4Q3",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "b992316040723d8e06efaeb8ff276f8c596e94b9079c6e37395c4380bd32fe0b",
"mainChain": true
},
{
"boxId": "ce42a4e8b8cb2b93afb07584de9ba10c664aa977cb3596821c3025bc7a286ff7",
"transactionId": "2b0cd135c743735bec972b75ecda591fee07cb13a59587a568e38a8bda2c299e",
"blockId": "fcec02078535e1fb51a9d04903ce77bf5a7ee35c1e3c926e6819c642ffb44dd0",
"value": 2000000,
"index": 2,
"globalIndex": 45314806,
"creationHeight": 1431327,
"settlementHeight": 1431329,
"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": "580ca6f8f8e108c8be9294782671ff764ad308bb8bb84878360ad3842fbef28e",
"mainChain": true
}
],
"size": 2172,
"isUnconfirmed": false
}