Transaction
ID: a7b04bb532...d1ff
Inputs (39)
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:
0.00101 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:
0.002 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
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
26.97
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.07301 ERG
Tokens:
111,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
30.39
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 388,867
Total coins transferred: 0.07701 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000777 ERG
Raw Transaction Data
{
"id": "a7b04bb532959723d4d96a92d2ead74f19c57ab9d4cf1ef9c9993c6e95a5d1ff",
"blockId": "db66f91ca684785cae851703a1c10efca8f8730de7b1ead34c9e1c1b716ab467",
"inclusionHeight": 1378952,
"timestamp": 1729579877506,
"index": 7,
"globalIndex": 7939180,
"numConfirmations": 388867,
"inputs": [
{
"boxId": "dfd68db4d5c360373476424e40f3e117bcdad95c19b4fe90ce3970eb6824122d",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "360632e75f7f90d24d94c675cd30b082b4e9d31d9edf1bc060345b1801949fca",
"outputTransactionId": "9310f9c6539f2640dddcbc58c9b66aa8aa427cd1c8a00a9ac5da7df951fe7065",
"outputIndex": 1,
"outputGlobalIndex": 43373127,
"outputCreatedAt": 1378937,
"outputSettledAt": 1378939,
"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": "0e2084e47d47bd176f63c620a4a5104ef4999845fecb05456975680946166b6dd2f5",
"sigmaType": "Coll[SByte]",
"renderedValue": "84e47d47bd176f63c620a4a5104ef4999845fecb05456975680946166b6dd2f5"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20ae4b38d532620ff2ef43ed6ebdda8602306d2167fa2b619c3c90b7be9bfef6d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "ae4b38d532620ff2ef43ed6ebdda8602306d2167fa2b619c3c90b7be9bfef6d7"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "5a3d14d7497c3b7436796f303745e9f9c01c1b2b2043ae26388d0d99dfa0e9b1",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e27fc566f76a34a04ad257ef3602513a8255a9660950a2106f0c7c740752170f",
"outputTransactionId": "860cfca659f60d7c3bc30dc8ae2904682dae87c1b0320109f3d03931c48f0878",
"outputIndex": 1,
"outputGlobalIndex": 43373176,
"outputCreatedAt": 1378937,
"outputSettledAt": 1378940,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e204efa9a7ced1cc370b0c0919a1c22bc6d595797c75da9ca590f4f5a8a682fc80e",
"sigmaType": "Coll[SByte]",
"renderedValue": "4efa9a7ced1cc370b0c0919a1c22bc6d595797c75da9ca590f4f5a8a682fc80e"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "a9994a010703b005e4b35a7027f26d46063b447de5bb1c8a41ed52c7eaac1d02",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "e27fc566f76a34a04ad257ef3602513a8255a9660950a2106f0c7c740752170f",
"outputTransactionId": "dca09b212c987d91556012e5afc54818554a31c438e0437d961c37f74c7a4ef9",
"outputIndex": 1,
"outputGlobalIndex": 43373181,
"outputCreatedAt": 1378938,
"outputSettledAt": 1378940,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e200a51d46953ee4a408c776d7cb3a113a54ac899a7f8a11c98a0d9076e1ad1935d",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a51d46953ee4a408c776d7cb3a113a54ac899a7f8a11c98a0d9076e1ad1935d"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "223b3ba41d8f671b540d65727d6f6935b6693c3b0d22854ba5616069c43b4ca5",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "e27fc566f76a34a04ad257ef3602513a8255a9660950a2106f0c7c740752170f",
"outputTransactionId": "e2cd2d15e4594e47fa937ad9be433e1a8e077fb33a5349b984354c8de22763f4",
"outputIndex": 1,
"outputGlobalIndex": 43373186,
"outputCreatedAt": 1378938,
"outputSettledAt": 1378940,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e203b0f29eb799b832b597a1b497a6f074d4aad7d36c6af1fe5617b651762b1ca02",
"sigmaType": "Coll[SByte]",
"renderedValue": "3b0f29eb799b832b597a1b497a6f074d4aad7d36c6af1fe5617b651762b1ca02"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "04b584a1e40736bfcc2059bde73893908a76771511166cda80627b3d67c04919",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "6c9de461cebdb4f1016f48bca88661a37e063910a15ba1f02408d53c9354697e",
"outputTransactionId": "8811b7fa1d01e8369cdf9c4990f16dab1dbc0da49b7b21588b21fdb162847829",
"outputIndex": 1,
"outputGlobalIndex": 43373229,
"outputCreatedAt": 1378938,
"outputSettledAt": 1378941,
"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": "0e20507194edc1075bed9ed6b5aaca7c3c227b59ef4f3c20e3e7a27f42c1404acf36",
"sigmaType": "Coll[SByte]",
"renderedValue": "507194edc1075bed9ed6b5aaca7c3c227b59ef4f3c20e3e7a27f42c1404acf36"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20386379cdaea23f64cddbb487258f421eb78ce9ecbbcf6344aac6edb6e2ae72a5",
"sigmaType": "Coll[SByte]",
"renderedValue": "386379cdaea23f64cddbb487258f421eb78ce9ecbbcf6344aac6edb6e2ae72a5"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "d7525f1c58e9a073977566d15dd6354c9d80b8461373edd86debc49c91936cec",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "910a7fd96ac558bc03f1d801ecc943e2296ee6ecc6cc93c5623501539951d770",
"outputTransactionId": "d8447dbb432e6026f0867007cf6bf45329ccfc77197c6dc10bc00f130c03ac7b",
"outputIndex": 1,
"outputGlobalIndex": 43373397,
"outputCreatedAt": 1378944,
"outputSettledAt": 1378946,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20619ad82e104c3e58aae49d35eb29de5b022348ffb4bef2427b03c4efaa8aab2b",
"sigmaType": "Coll[SByte]",
"renderedValue": "619ad82e104c3e58aae49d35eb29de5b022348ffb4bef2427b03c4efaa8aab2b"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "9059f56d754da789da0e59223f1a1f6c8486631b5f99ebce98838897cc0efe4e",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "2799a210f0d66fedde0ff501d68bf196252540770dba6a1a880a6ac4f8407c58",
"outputTransactionId": "0b88502e5d72c5e23e8a9e5679b22df3aecb13406cd1df8c1494c412ff41c5a0",
"outputIndex": 1,
"outputGlobalIndex": 43373446,
"outputCreatedAt": 1378944,
"outputSettledAt": 1378947,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZsMEcMTZnZnsQm6jutdmSRzVW7WZoqN2c82khPoBUwF6GRVZdd6XhnNf9gbi3fsoZRM3cHmvz3sgJEJmy61cRxTKrM4q9ZfxYKBtyfNXLwD4CCeMedd6pxYDbgT6h3W5Qce2DZX51sw7aP6hu73HxJvcAirXLCYdZxi1nnGUbZYd8WNkU9zZ5ZGLVasrL49hVLNoJsP3ZYLpqzXchCL8RKv42qnLJ2kHc9BZJyv3QAYqMZTZSHQyRnYj4GAbdB3aYP71ge2HXCb6Arc6upjU4cWJPrPY4f8QcMdhXTrUtWp9u443Ekqdd3S2y2jfWLjDLsd7S9y7ASHPqx3GnCcPK4i9YnCQhdM8i5f59nA5ENgo24BTJvyQiRssDrCPpHxeTUp5ae2E5D4vyAnFfWCFfD6f5Z6DEDQvFnu1JLjjLcunp3rehGTSNgjyNNzGkjf6GF2y6enPuNcfpyNWsY2QJot4r1yZWqzeHvMgjbhnjpcManj1ikT1FFeg1oKZCCNBUbed4jYnmM1qFFmTYaovRUuEFXKFU2fhpz3EfEB79PUd5g5YMu1MTkKdUzLrEnoTxz9GKNpXCsoFvwC82hEuwXPcPFuMHdBFa4jtqSueVFgCPHHiXMz2koe6FGmCzY67q8215taocoiEC8NjGNTJ6Bzz3apbT5JP2hLVi6z11kNDQgtTA4gNRoftjZBBNVaFFj1DwURqEBzdawony7FvSpQYzgFEz5PKN7rAAr8Dsd4phbesmeASSph4aQLzB7iuibFSZXxyBm1w8GUEodaWEhh2UeTCJx2XtocU9aLYrUSgA6PgBF5NWzWwXDihESwyboSKnDb2mfHeGyjkjKSfQP2oP8Las1CeMXPdnwXUggckB44f82qjE5ENnqYhah4s5WkgPzzSvx42uhxc8VTbySPgiDefVGuFCEATX6fgAs5ikKh38TYWzLbUi9qM5Ncz9G7Z7Mc8RTdKtRLSxLUoPpiabXtyfdBkNr5PYhznMd3TPy9EHKinSzPV3GiJHGEkfYAbGmf2imbG2LrGtCEnyft3vBXYVocEnAXZsVKSRMPvkWsA7J2LRuQHrZCbVwY4LBDpfrHriEGUnAd168HB7DKPqRtCsVLgd2h6JgSHS4xXvfSwhG371VfTxJgAAtHUgKttcZfpZGXffLCwP7zmQGNVz6FJLsTEN3VXaQMQ7ooCeGHFdL7nbB7ejitfnWzWqgwqi5kv3nZEcmx4YfcnyvAjBosChtBMNfkMSVqa42Mx1xat4eJvHD5Jm1AwYijVqQjcXYh1ZzHqD",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a23002481ee5bd8b0f29754bb7cf90980b6e5666f1d25c7d7532673329de8882",
"sigmaType": "Coll[SByte]",
"renderedValue": "a23002481ee5bd8b0f29754bb7cf90980b6e5666f1d25c7d7532673329de8882"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20d8f2c0bccae460019ae8d8676f656df2757d8c3c423aede74a822ed81cf203ff",
"sigmaType": "Coll[SByte]",
"renderedValue": "d8f2c0bccae460019ae8d8676f656df2757d8c3c423aede74a822ed81cf203ff"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "cd29bf212d6368953c7b9f76dc93ddf32d7f2f932a6064889f791aee5715a3da",
"value": 1010000,
"index": 7,
"spendingProof": null,
"outputBlockId": "2799a210f0d66fedde0ff501d68bf196252540770dba6a1a880a6ac4f8407c58",
"outputTransactionId": "0064f17574e13f95f1ad00e9c1aff379d36d1224472a30eee0d51417dd57afcd",
"outputIndex": 1,
"outputGlobalIndex": 43373451,
"outputCreatedAt": 1378944,
"outputSettledAt": 1378947,
"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": "0e200c2c0d291d2827adcd64401a3cb7003357c673c1384fdab04dce24d2f70b3e38",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c2c0d291d2827adcd64401a3cb7003357c673c1384fdab04dce24d2f70b3e38"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20c450f67f1e0644422db39245bced91a0359af55a9f2069b06c2f3e1447676a82",
"sigmaType": "Coll[SByte]",
"renderedValue": "c450f67f1e0644422db39245bced91a0359af55a9f2069b06c2f3e1447676a82"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "66db2d08e4eec5fadec3576261665bf5da6cb4fdb781199b87abf05ec02c1690",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "4d830fce5d05f26d0705dc84b64f645f5bc993e4ea5ab8483258a94f6ab8b69d",
"outputIndex": 1,
"outputGlobalIndex": 43373575,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20d428f13491b4b09b108343e6244961ed91674442085b101f194d7bb6a6aa00d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "d428f13491b4b09b108343e6244961ed91674442085b101f194d7bb6a6aa00d7"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20e443b8ebce262670ac4051a3820bbc2b80ba821402c31d6ab787a54733c1186e",
"sigmaType": "Coll[SByte]",
"renderedValue": "e443b8ebce262670ac4051a3820bbc2b80ba821402c31d6ab787a54733c1186e"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "e101f39e269ab608a2b6557bcd7339d7eb359879c0bb6aac7a6393e85bc61f74",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "edc46618c5e5eaebeeacb0fa9bf9871dcc6f73c55c2a7a02f5661ebe8686c209",
"outputIndex": 1,
"outputGlobalIndex": 43373580,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20d111b62b545d0ebf1fea2e22fa0827c8304e6d46c8cb0acf55613b8adff65faf",
"sigmaType": "Coll[SByte]",
"renderedValue": "d111b62b545d0ebf1fea2e22fa0827c8304e6d46c8cb0acf55613b8adff65faf"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20e7e00fac7dc72d33defce08b13da28a06a629a1de761980e13fe1ab76479ec35",
"sigmaType": "Coll[SByte]",
"renderedValue": "e7e00fac7dc72d33defce08b13da28a06a629a1de761980e13fe1ab76479ec35"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "56d00d1df9ee4c30519efcc47f4b354cbd7297760c2e7f30b4ea5ac5b372fbd5",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "0acfaac88da64c204d4c4444fdf1b9c2647c2deb61f90b59fa315bc2a3a0b2f4",
"outputIndex": 1,
"outputGlobalIndex": 43373585,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e200e9266925b34feb74b29086e32f30c6d6a423c66033f7a09821d6ec012b70069",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e9266925b34feb74b29086e32f30c6d6a423c66033f7a09821d6ec012b70069"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20f4e4bd8f7136171fe3d2d52ebf2d57b501ee6a3d5c45aa34587b0abddf99f368",
"sigmaType": "Coll[SByte]",
"renderedValue": "f4e4bd8f7136171fe3d2d52ebf2d57b501ee6a3d5c45aa34587b0abddf99f368"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "cacbf129f140012329b8d9f90bbb84eed10a0813672550fa2096028240183504",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "0b4101f1ab35440fbb4b1a672e729280301cf2fb124deb8c51ac158177e0fcd2",
"outputIndex": 1,
"outputGlobalIndex": 43373590,
"outputCreatedAt": 1378947,
"outputSettledAt": 1378950,
"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": "0e20bdf563b55eda9241d742fef76bc5fe844b5be99cb6fed7e7c59117443dd27e41",
"sigmaType": "Coll[SByte]",
"renderedValue": "bdf563b55eda9241d742fef76bc5fe844b5be99cb6fed7e7c59117443dd27e41"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e2041d85a7c32b77ee9d376c3b39ba24392de2ac113cbba506d17e4fd311e202165",
"sigmaType": "Coll[SByte]",
"renderedValue": "41d85a7c32b77ee9d376c3b39ba24392de2ac113cbba506d17e4fd311e202165"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "4b817c58cf4dcd8ff9ef62ec079c5b4f5eacafef142c487a74585c8369bb85a5",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "0c3eccca5ba0354d08fe2943fb6eb5dd2b143ecb88515c47ad766eeb472e54f0",
"outputIndex": 1,
"outputGlobalIndex": 43373595,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e201fc00319a57a6bbd5df217611ef210e8e4007a2a15bb159d359e965565110a07",
"sigmaType": "Coll[SByte]",
"renderedValue": "1fc00319a57a6bbd5df217611ef210e8e4007a2a15bb159d359e965565110a07"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "8c47903538fc54a72c0b308f7f808ccb67973b7835cfcb21444590b47ff5a76a",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "0e085e583a256b0d5324cc1fec3c77690fa86c3f92eb960b398035aa982228f2",
"outputIndex": 1,
"outputGlobalIndex": 43373600,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20170fed38c8da37289a28c2c5e9c7aba026712d246e1acb3c53ea08e423a3b527",
"sigmaType": "Coll[SByte]",
"renderedValue": "170fed38c8da37289a28c2c5e9c7aba026712d246e1acb3c53ea08e423a3b527"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "5046826c11fbf573c666a5902f0f6deb962f52f6dd75b2160e13828c9c0decf0",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "184fd18f0f065026fbb9beba030363e2d4f2318a9d4763383542b4ee52ab6387",
"outputIndex": 1,
"outputGlobalIndex": 43373605,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e204f3ba05c8c0dbc67add825c7adb334971364044ba2f9468ddbff44a790093e11",
"sigmaType": "Coll[SByte]",
"renderedValue": "4f3ba05c8c0dbc67add825c7adb334971364044ba2f9468ddbff44a790093e11"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e203ac815f99e341abdf8b0e7229b15cecf171945a8663bdf534a1a56a2bcc2bfb7",
"sigmaType": "Coll[SByte]",
"renderedValue": "3ac815f99e341abdf8b0e7229b15cecf171945a8663bdf534a1a56a2bcc2bfb7"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "e51ceaa16824a2706152c55186b0c1c42e80e2db3939f07985aeb1ef40352058",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "199fa72d15a3c1d8881dd6fa42cdef2eab49aa2da351aaf9e308527c6db2e589",
"outputIndex": 1,
"outputGlobalIndex": 43373610,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e203c487e027dd6ac21c91104f707a1950111717a141b06876a652ddf8999df48c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "3c487e027dd6ac21c91104f707a1950111717a141b06876a652ddf8999df48c2"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20ee2d66b102bb096e6c93a80f1b597c64171505f27070321d92323f51501196da",
"sigmaType": "Coll[SByte]",
"renderedValue": "ee2d66b102bb096e6c93a80f1b597c64171505f27070321d92323f51501196da"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "520d62ac523f5832fde183e1884460a700f3fc4a1c3f0099b32e89f874bc2dfa",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "25ccefe0786eeea840553d5b6af5f1af46a1c5c7d8076eae0bf0ce6ab3b27f3c",
"outputIndex": 1,
"outputGlobalIndex": 43373615,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20c58bab2dec6522708cd34197715d8caa63f606a84b82d253e41260d8c8415332",
"sigmaType": "Coll[SByte]",
"renderedValue": "c58bab2dec6522708cd34197715d8caa63f606a84b82d253e41260d8c8415332"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e200d4b2bfe28ce1840a63caece8764dfecf030322390e95dcc6a3369529bf70a86",
"sigmaType": "Coll[SByte]",
"renderedValue": "0d4b2bfe28ce1840a63caece8764dfecf030322390e95dcc6a3369529bf70a86"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "471468b30330a5806079234f0de62e4832d815257b0bd28523b081bd4e6eed2f",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "35acb344e2119af5b024e08a79dfe26d8175b54352fad95af5d3e06f38de1ec3",
"outputIndex": 1,
"outputGlobalIndex": 43373620,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e2032669a5c6a8eb538ccc213ac2331ea66da4b68fd7fa35e2f79ca8f45e5e32fc5",
"sigmaType": "Coll[SByte]",
"renderedValue": "32669a5c6a8eb538ccc213ac2331ea66da4b68fd7fa35e2f79ca8f45e5e32fc5"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e208fc9f646bee0a73d593e80ff68c7b811d1eebb7593f3b37194bffab04603324d",
"sigmaType": "Coll[SByte]",
"renderedValue": "8fc9f646bee0a73d593e80ff68c7b811d1eebb7593f3b37194bffab04603324d"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "d11c5267159f1db6ae86636bd4ddbf3277cffccec482766e4e93886382744f04",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "3c6fe1c0302689d95d9e31bbd66ab4ddfed36391a5f5b357116048029a0c6c35",
"outputIndex": 1,
"outputGlobalIndex": 43373625,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20e61d9316260ee515de2309e0b5715582242537765e8815fced2a03bdc9a29f50",
"sigmaType": "Coll[SByte]",
"renderedValue": "e61d9316260ee515de2309e0b5715582242537765e8815fced2a03bdc9a29f50"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "02a21a989e569321ca93300c1622daa264175eb45474a71d86f44a480dd13560",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "42788fbfcbf45e84da614bcf85554f2bfe36a6f45a1c76cd6c2bb0ae14e561dc",
"outputIndex": 1,
"outputGlobalIndex": 43373630,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20d92dae77a8930dd376ba17193f89e420dc364247eedf0f023a62bdf60b1dd8e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "d92dae77a8930dd376ba17193f89e420dc364247eedf0f023a62bdf60b1dd8e4"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20a2296b86b1aa2e3dd8614595885b48d09dc77a663239335a7ae4e80432338f41",
"sigmaType": "Coll[SByte]",
"renderedValue": "a2296b86b1aa2e3dd8614595885b48d09dc77a663239335a7ae4e80432338f41"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "81f9bf78b80bdf78e88c0c1c3ffda79022f2b6fdd6eba55c3b229b81e2df1861",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "53e28649d765c4c4bfc85169166bba4039911e07e8c71cc3df8591f8505f41bc",
"outputIndex": 1,
"outputGlobalIndex": 43373635,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e208a0e5746f4e37f00d6b0ec2aa876356b930ea8e21539b21fad875160959620c1",
"sigmaType": "Coll[SByte]",
"renderedValue": "8a0e5746f4e37f00d6b0ec2aa876356b930ea8e21539b21fad875160959620c1"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e205b82d9395cdfa1062d038e89a89bdc2ebb7b052112258902f87e52cebc6f46ab",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b82d9395cdfa1062d038e89a89bdc2ebb7b052112258902f87e52cebc6f46ab"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "8f5f85ad3a4bf1f78f0f96d505dea1d268912e6589713b7f963a0dd81b79c6cf",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "5bcb87fad388513af9a755716da1a88686d73dc9bfe6f844c70789b5d4805147",
"outputIndex": 1,
"outputGlobalIndex": 43373640,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e2098c06c7c5718938fc97e6079465674a9609f7211ff0e99315cf3848589a10095",
"sigmaType": "Coll[SByte]",
"renderedValue": "98c06c7c5718938fc97e6079465674a9609f7211ff0e99315cf3848589a10095"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "5174450a953cd0996538c21bb3367df93ce51d93ee16368b68fb5434f46db70d",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "5ca8ec31ac085eac0d29137e8559b4742534aa17fb542b37633797af93ce648e",
"outputIndex": 1,
"outputGlobalIndex": 43373645,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20091c40dc0ee93f87c8d28fec2aa14b76e31e0d51c814d4440e5f52db4e230980",
"sigmaType": "Coll[SByte]",
"renderedValue": "091c40dc0ee93f87c8d28fec2aa14b76e31e0d51c814d4440e5f52db4e230980"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "b6a88e14e317764ba24ce3d18b0b07929da57a7b45e1d8aac364493f8489298f",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "5ecef27b53c5a3ad8dc28c496778498aaba514ee6a574cd4d3e15f381f242ec2",
"outputIndex": 1,
"outputGlobalIndex": 43373650,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202102df4fef44cf82d866ebafc5f8d1df76321a470b50f0a3390576892847b7b2",
"sigmaType": "Coll[SByte]",
"renderedValue": "2102df4fef44cf82d866ebafc5f8d1df76321a470b50f0a3390576892847b7b2"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e202f7c44f87f1f38063ea06cf1458b669ddbf199f76c62fba926060160e4301ccc",
"sigmaType": "Coll[SByte]",
"renderedValue": "2f7c44f87f1f38063ea06cf1458b669ddbf199f76c62fba926060160e4301ccc"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "5b1ec62ec181d97536370e2b1c79d2242b896183187f187b81312e87074e9a7b",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "938a9ec5bbdb58f84e70a8a67bb30af4fe09456783267bf86965b350d104b0dd",
"outputIndex": 1,
"outputGlobalIndex": 43373655,
"outputCreatedAt": 1378947,
"outputSettledAt": 1378950,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20c542b58020f68cc58c018914120aafe88bef3f7f9b4b11a55aa16b1020daf43f",
"sigmaType": "Coll[SByte]",
"renderedValue": "c542b58020f68cc58c018914120aafe88bef3f7f9b4b11a55aa16b1020daf43f"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "f519fc51f17b25bc0f3d16bf7870a2b9ac8dfee581b6861ce5b6dd5ad78f0355",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "94b25ca403e52675b6b3cb0efefbf6688837865cde1b2bcfdbb7781de42370aa",
"outputIndex": 1,
"outputGlobalIndex": 43373660,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209ffe51dd336aa8da7332e93f8f989a0427eba5a3008ddbe72fff93cff2a0d010",
"sigmaType": "Coll[SByte]",
"renderedValue": "9ffe51dd336aa8da7332e93f8f989a0427eba5a3008ddbe72fff93cff2a0d010"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20852ebfdc18577722caef47e7ac93c6a8f45fa79e024fd1640a9b67cead736854",
"sigmaType": "Coll[SByte]",
"renderedValue": "852ebfdc18577722caef47e7ac93c6a8f45fa79e024fd1640a9b67cead736854"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "d4172501c8af7f26d55fad38ce541e8bb467aa6874977d1d0722499c5f3787b1",
"value": 2000000,
"index": 26,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "980972d87a73e5aad2a4967d046c071e5cba8608dbb2ba337c30b696c9014c70",
"outputIndex": 1,
"outputGlobalIndex": 43373665,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e207aaf3bbe222fec7abdabdb70c9d77964b5d0e3ceb20a454b0da71b379d8e233a",
"sigmaType": "Coll[SByte]",
"renderedValue": "7aaf3bbe222fec7abdabdb70c9d77964b5d0e3ceb20a454b0da71b379d8e233a"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "078873b8e6bedaca541ae49c014f426d1e96852c02c2adb3bbe394a178a43589",
"value": 2000000,
"index": 27,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "a6620dd8eff0c9213d20d84fc238585788958987cabc3ac20bf33d45cb776b5c",
"outputIndex": 1,
"outputGlobalIndex": 43373670,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e2008adba47f7dd7680ddf2272b6b09c3bfbb3430d3c7525aaab712789d0f1c1e5d",
"sigmaType": "Coll[SByte]",
"renderedValue": "08adba47f7dd7680ddf2272b6b09c3bfbb3430d3c7525aaab712789d0f1c1e5d"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e203b12fae572a4c4778d7f8285c55847ded2605a58dadab70b7ae7c3d384d13267",
"sigmaType": "Coll[SByte]",
"renderedValue": "3b12fae572a4c4778d7f8285c55847ded2605a58dadab70b7ae7c3d384d13267"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "0e4f417f986eb8fd09285980b6f0ef12a4eed978b4f86a706fb3084e7b15a4c1",
"value": 2000000,
"index": 28,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "b0560c01b55eb54544e7d85ad24492ecb8b0fca559b3eb873c78fb7174f34a78",
"outputIndex": 1,
"outputGlobalIndex": 43373675,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20e542dc8d3c7c9d9711b4a88b7fdf1a0427eb90bcb44b47eefadd4047896c3b0f",
"sigmaType": "Coll[SByte]",
"renderedValue": "e542dc8d3c7c9d9711b4a88b7fdf1a0427eb90bcb44b47eefadd4047896c3b0f"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e205cca6d6497e645c61043bd69202e2c46c234401f56e0060b444b739777616fcb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5cca6d6497e645c61043bd69202e2c46c234401f56e0060b444b739777616fcb"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "70c98e93659d97a8e301cbf36e03ed66be89e26731f08528bb63a566d04e585f",
"value": 2000000,
"index": 29,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "c4e616ae41512e858b913aff3a483c5a83432a60cefaf87414cb007a0dfb0d2c",
"outputIndex": 1,
"outputGlobalIndex": 43373680,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204d5a963014727424d941111bdeee8076c2e7647258badaf39a8b3caf74a0c358",
"sigmaType": "Coll[SByte]",
"renderedValue": "4d5a963014727424d941111bdeee8076c2e7647258badaf39a8b3caf74a0c358"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20652b819d2c6fa0167e6770fb90283ae3d309902888c4574c43e73a325710dc5e",
"sigmaType": "Coll[SByte]",
"renderedValue": "652b819d2c6fa0167e6770fb90283ae3d309902888c4574c43e73a325710dc5e"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "e06f208bae13eacd517456f32cf8ca296121eaab2fbd66382e282183bf8cebe7",
"value": 2000000,
"index": 30,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "c5321345798982f2d203280bf459cfd3ea57a21ed1b94a4ccaf16da90204f2f8",
"outputIndex": 1,
"outputGlobalIndex": 43373685,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20b9aa63a9903052e6a958102c078d20e97c5c07e0af4b28fc368beab0fca73936",
"sigmaType": "Coll[SByte]",
"renderedValue": "b9aa63a9903052e6a958102c078d20e97c5c07e0af4b28fc368beab0fca73936"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "55556f9ec3d74945acf99abe6d63a40f8b70dac4e4112df348eb83c3d502de94",
"value": 2000000,
"index": 31,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "d2e3dcfd9443decf39ec8f8c7399fe7bf0e8b2ac5a9bd79babee5173e8a6f8d9",
"outputIndex": 1,
"outputGlobalIndex": 43373690,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e200335431eab367ee2c9a02896b5b537d2e11acb710a04340d978fd093d2e08cec",
"sigmaType": "Coll[SByte]",
"renderedValue": "0335431eab367ee2c9a02896b5b537d2e11acb710a04340d978fd093d2e08cec"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e20e9598e3072522cacdc2845a1220398275c6f250e06940fdf70ffa622f6706a49",
"sigmaType": "Coll[SByte]",
"renderedValue": "e9598e3072522cacdc2845a1220398275c6f250e06940fdf70ffa622f6706a49"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "934df18a2c3887a9cc4f4c56582d0381e5bcd65b54121d7fa681671bff3a539a",
"value": 2000000,
"index": 32,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "d5f8663d2d64a6fc6c8790cc74e54a7e2903fd51d12ed15127def7b2a8033c3f",
"outputIndex": 1,
"outputGlobalIndex": 43373695,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20dca3aa311b2b660859b55c0a9951b968cf8fed4a9fcaed16ae9860d91896d0cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "dca3aa311b2b660859b55c0a9951b968cf8fed4a9fcaed16ae9860d91896d0cc"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e209ef3e2aff67a5df17a03fac355ad65c26a4ee589f5470f063fd19f47dc3549f8",
"sigmaType": "Coll[SByte]",
"renderedValue": "9ef3e2aff67a5df17a03fac355ad65c26a4ee589f5470f063fd19f47dc3549f8"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "f6f9be7f4119504b181b15738a7178519c6168f04bbe86d9b2df02a599b03c15",
"value": 2000000,
"index": 33,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "edcaa48397202f350bd11a53766707b137987f85f126986a75bc5e9388302086",
"outputIndex": 1,
"outputGlobalIndex": 43373700,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e2032c99e2e983371378c7081d63b271485bd61ad48547c9dc68b9923247c3052a8",
"sigmaType": "Coll[SByte]",
"renderedValue": "32c99e2e983371378c7081d63b271485bd61ad48547c9dc68b9923247c3052a8"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "a41e3e12c34f1cbe10b055a4cf53ee2cb36b73c6105d9cb008862b565a86a376",
"value": 2000000,
"index": 34,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "da2927e8dddb0576f0bb3333247206aef95d888649cb137ff474945e9484aed6",
"outputIndex": 1,
"outputGlobalIndex": 43373705,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2061834b1341b1dba4534d93ba7f1ba0bdaba0d1d79624c837bb39fbccf2aef3b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "61834b1341b1dba4534d93ba7f1ba0bdaba0d1d79624c837bb39fbccf2aef3b1"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e201c797baed3f44dd8aa7223a6e5d6d1b28ccd3b6cff795c17ae15c37fb577ab1a",
"sigmaType": "Coll[SByte]",
"renderedValue": "1c797baed3f44dd8aa7223a6e5d6d1b28ccd3b6cff795c17ae15c37fb577ab1a"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "c4bf7b77b1b675c02cef4e9e89f080426ee23408a2ef252a2b122e17d0316276",
"value": 2000000,
"index": 35,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "768c31abc2b24fb956f0b7b6da9ddbecc084e3f07202316e6415bf69c5e215cc",
"outputIndex": 1,
"outputGlobalIndex": 43373713,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209b33a48613c4612acfd5721e903621ce1b53a2d79705811f006796586e462aa5",
"sigmaType": "Coll[SByte]",
"renderedValue": "9b33a48613c4612acfd5721e903621ce1b53a2d79705811f006796586e462aa5"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e2029e0385ede3b50bbd59b83b53803c6c9082148a448ab5e04499d8cd1fd2d74b2",
"sigmaType": "Coll[SByte]",
"renderedValue": "29e0385ede3b50bbd59b83b53803c6c9082148a448ab5e04499d8cd1fd2d74b2"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "51f67d686cf462e020f19790823cbd9dacda306c9d98002953e7a2790c715755",
"value": 2000000,
"index": 36,
"spendingProof": null,
"outputBlockId": "bcdf5afe9e86c04a41533d6d8d3fe40de11a1d8a672b7ba2570a9f4a8b1955d5",
"outputTransactionId": "0299a09bc8e24d9c50ef6409b8adf949f0d41b30556dde9724ab68a0ad8d8251",
"outputIndex": 1,
"outputGlobalIndex": 43373721,
"outputCreatedAt": 1378948,
"outputSettledAt": 1378950,
"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": "0e204a283c226682e0ba37fbf9ddafcdc4edf6ed63667f65cae3875d9acc08729e3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a283c226682e0ba37fbf9ddafcdc4edf6ed63667f65cae3875d9acc08729e3e"
},
"R5": {
"serializedValue": "0e20bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf2d5024f3c110c8ceb2152de0b214b844af116e8a91de8f7ca5f8d0a0a6bbeb"
},
"R6": {
"serializedValue": "0e209ad01128c000fc7d5470cd2bc1fdccfad850b140950b114c23a5bb6fce2b059a",
"sigmaType": "Coll[SByte]",
"renderedValue": "9ad01128c000fc7d5470cd2bc1fdccfad850b140950b114c23a5bb6fce2b059a"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "fc9d465c310b41a1d2709aed74b498b8fd00fba8a76160dd759374e718bbce2e",
"value": 2000000,
"index": 37,
"spendingProof": "1e50802e0472a729ecb80ccc68a84c53c67da7dfa48093047f2559ab88cc35173f88262b4cf0802f9c1f42be90e0577991bab58a011956c0",
"outputBlockId": "85c17193c73852bf16abc3c75f1c9ff13922bdd12069909106d4ee2e962d8974",
"outputTransactionId": "8640ec862f18c3dfc9b03efbfd3edd13f00848746429c79899e8a6d51e4d5247",
"outputIndex": 3,
"outputGlobalIndex": 43341794,
"outputCreatedAt": 1377754,
"outputSettledAt": 1377756,
"ergoTree": "0008cd0208acedc7fea2c99924f70b8bbd77b3c8306186844da729402aea18388c21c2e2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8acedc,e8d51d,...)))}",
"address": "9eat7rwqMiVyGhnqcChGdeQnPVonV8FUP1TMDdkr99RCA6mt3re",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 3420,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "f884589cc21b90d28a180ea0718a2930a99bc28f1e17d3e3c4cf0a135d6f06a1",
"value": 2000000,
"index": 38,
"spendingProof": "6c691ccd05b277604495339c55f4776c252982ad0ecf8316662d075ee899504052878da161c5b239752567d7d430351675587197e8668565",
"outputBlockId": "182e1f2a34798fe2590ccb73a11fb6cc8def9aa991d1845ff7ba58b8ca164c40",
"outputTransactionId": "c2c3bbed678a3e9de54f5b2ba5350e021e7558deee3494ac9614d678a1daf336",
"outputIndex": 1,
"outputGlobalIndex": 43342198,
"outputCreatedAt": 1377764,
"outputSettledAt": 1377766,
"ergoTree": "0008cd0208acedc7fea2c99924f70b8bbd77b3c8306186844da729402aea18388c21c2e2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8acedc,e8d51d,...)))}",
"address": "9eat7rwqMiVyGhnqcChGdeQnPVonV8FUP1TMDdkr99RCA6mt3re",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 26970,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"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": "67b999062441729ccb2ff18e56148dfe3b77c5f1b577ab21007f4ccc38ff9b71",
"value": 1100000,
"index": 1,
"outputBlockId": "6c9de461cebdb4f1016f48bca88661a37e063910a15ba1f02408d53c9354697e",
"outputTransactionId": "ba41b91fd0156b8e6309770311a37f7da0f38ede20e2110a57591c5b558eb458",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e08657468657265756d",
"sigmaType": "Coll[SByte]",
"renderedValue": "657468657265756d"
},
"R5": {
"serializedValue": "0550",
"sigmaType": "SLong",
"renderedValue": "40"
}
}
}
],
"outputs": [
{
"boxId": "d34189aea57531c9862bf305f155d43767cc95da3008ca06e9c1edc94aaf0308",
"transactionId": "a7b04bb532959723d4d96a92d2ead74f19c57ab9d4cf1ef9c9993c6e95a5d1ff",
"blockId": "db66f91ca684785cae851703a1c10efca8f8730de7b1ead34c9e1c1b716ab467",
"value": 73010000,
"index": 0,
"globalIndex": 43373795,
"creationHeight": 1378950,
"settlementHeight": 1378952,
"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": 111000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20dcd913040a10e5032b5beb5f8d0ce085815412c43ffed997d2738b08c14df63b",
"sigmaType": "Coll[SByte]",
"renderedValue": "dcd913040a10e5032b5beb5f8d0ce085815412c43ffed997d2738b08c14df63b"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307861663766656663323934636438316630303863643866633531663130343139343961306333313164346561643361383562643031633536356238626636343633,657468657265756d,63617264616e6f,307864373132326135316236643762376137386564613837393133333166613434376537646362643734,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438787333656e633533663461716b733776356735743235346675326e38737a3277736c6132393361,000000000e922390,0000000001a47779,00000000003d0900,307830306561326132303335313739336337353466316433663333656636343539363432666437386437,616461,307866333234626639396639643334356561656431316266633764373933323931633037383332376164626137393063323236343633643062626532626635333039,000000000140ba85]"
},
"R6": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
},
"R7": {
"serializedValue": "044a",
"sigmaType": "SInt",
"renderedValue": "37"
}
},
"spentTransactionId": "d0911e7a2e9a515748d202d7e34e3ed05d4623abc02aed1ab58a11a7bf36341e",
"mainChain": true
},
{
"boxId": "272e0f8b018edc4d2aacfe3f1d26b5d47d44ec737327631c8ae9d37f4122f989",
"transactionId": "a7b04bb532959723d4d96a92d2ead74f19c57ab9d4cf1ef9c9993c6e95a5d1ff",
"blockId": "db66f91ca684785cae851703a1c10efca8f8730de7b1ead34c9e1c1b716ab467",
"value": 2000000,
"index": 1,
"globalIndex": 43373796,
"creationHeight": 1378950,
"settlementHeight": 1378952,
"ergoTree": "0008cd0208acedc7fea2c99924f70b8bbd77b3c8306186844da729402aea18388c21c2e2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8acedc,e8d51d,...)))}",
"address": "9eat7rwqMiVyGhnqcChGdeQnPVonV8FUP1TMDdkr99RCA6mt3re",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 30390,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "86856f6888ec8e9de32ea2be3fac7c4b398d6bb0dd680044ea77a7b212bcc630",
"mainChain": true
},
{
"boxId": "8b3166bb741af454bcc936c7c6d1e16a1d5254eaf19db393f531ec5e459cfcc4",
"transactionId": "a7b04bb532959723d4d96a92d2ead74f19c57ab9d4cf1ef9c9993c6e95a5d1ff",
"blockId": "db66f91ca684785cae851703a1c10efca8f8730de7b1ead34c9e1c1b716ab467",
"value": 2000000,
"index": 2,
"globalIndex": 43373797,
"creationHeight": 1378950,
"settlementHeight": 1378952,
"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": "590eecc6b13136f10cc5684ae4021684e6af7a18ae8b19278bf2fb12e28044ee",
"mainChain": true
}
],
"size": 2573,
"isUnconfirmed": false
}