Transaction
ID: acd5d7dc27...f55f
Inputs (27)
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:
7
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.05 ERG
Tokens:
75,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 339,543
Total coins transferred: 0.054 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000922 ERG
Raw Transaction Data
{
"id": "acd5d7dc274e41fe7f6106473934fe3027bfc4d1289aebb5b8f7e7d61536f55f",
"blockId": "4493c74220ecc256482775960acd64e4d24e577746da17e803f1b121c7eab911",
"inclusionHeight": 1422645,
"timestamp": 1734860842657,
"index": 7,
"globalIndex": 8306414,
"numConfirmations": 339543,
"inputs": [
{
"boxId": "11479cf581394880c36a8c04f18f955073e4ed9fc0f0502caf8e08b1d3809123",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3787eb8db09d80d26fab6f5c8ec1830c24197d8c6139adce9709530d5aa6aa2b",
"outputTransactionId": "cf830720e2269e0af04f53c54be46610d46664be7be6e539af2573a92ee5a505",
"outputIndex": 1,
"outputGlobalIndex": 45018493,
"outputCreatedAt": 1422628,
"outputSettledAt": 1422631,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e2080d533a5d03630318d33be9699c81aa42d3e1f9ec9d88a529086792b866f2b3b",
"sigmaType": "Coll[SByte]",
"renderedValue": "80d533a5d03630318d33be9699c81aa42d3e1f9ec9d88a529086792b866f2b3b"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "6c5cb31c2e944bb682d526b0562afbc24a91cc3b41f67de19326f5ba5ef3c231",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "7d6654970b5080ffa19191749ad0dc8007700d9ad492a3ca5933eadb225ef58a",
"outputTransactionId": "e13145e06c4ca37a962afcd12d5e00a86690da7bd68e20433cc7bfc85a846538",
"outputIndex": 1,
"outputGlobalIndex": 45018509,
"outputCreatedAt": 1422628,
"outputSettledAt": 1422632,
"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": "0e20ac0cdfc9e86af253f157314e1b38115496dcaefef10ea6fd680757df402a50ec",
"sigmaType": "Coll[SByte]",
"renderedValue": "ac0cdfc9e86af253f157314e1b38115496dcaefef10ea6fd680757df402a50ec"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e2006339c01ebfc06755f137eeca79dddefe2cb0a6413d2e560a3921f2d9905898c",
"sigmaType": "Coll[SByte]",
"renderedValue": "06339c01ebfc06755f137eeca79dddefe2cb0a6413d2e560a3921f2d9905898c"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "a21d6334bc3eee1a9eb21fbfc95998c3bcc0c6e4d3c478f44097d3f2fc2a467b",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "40345426a960e44866b3daf30cbfcbeb771474946d2c797db6e64e714bb7d3a2",
"outputTransactionId": "88345c8df62a822570eae2ebfe1f8708a89abf5268b6552b87e5928c116bc4a7",
"outputIndex": 1,
"outputGlobalIndex": 45018525,
"outputCreatedAt": 1422630,
"outputSettledAt": 1422633,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e2068decdb1dd0c31bf612f0137f074472cce6b153e7710449a7ff14fd8cd0a8867",
"sigmaType": "Coll[SByte]",
"renderedValue": "68decdb1dd0c31bf612f0137f074472cce6b153e7710449a7ff14fd8cd0a8867"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "bb3d1db85aed0b0cf0cabd7798f503335552073ade3176d8818add2d673f224c",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "f061d1f0e53f03ac90c3e06e2f778f778aba4a1e2d9d1464dc62d3909aaf914c",
"outputIndex": 1,
"outputGlobalIndex": 45018654,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20d428f13491b4b09b108343e6244961ed91674442085b101f194d7bb6a6aa00d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "d428f13491b4b09b108343e6244961ed91674442085b101f194d7bb6a6aa00d7"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e201b273a77a3703f57ed2661b36679ac83e10aec4fd8e711455061ab695bab22d8",
"sigmaType": "Coll[SByte]",
"renderedValue": "1b273a77a3703f57ed2661b36679ac83e10aec4fd8e711455061ab695bab22d8"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "a902d2edc862ce748ec94717beee98b3a1bc7810931e475e7af3c56a008a7811",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "d334fb939f2eb2bfdf9ed1f96ae21a545073567820a8b94a8a8676bc6e75d94b",
"outputIndex": 1,
"outputGlobalIndex": 45018658,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bd24bfe51c92a64cdf588284476dc2ccba569b3566d20781ba5a69815af743fa",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd24bfe51c92a64cdf588284476dc2ccba569b3566d20781ba5a69815af743fa"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20df346c2f68cd402957e1884e1dae2e89fcffd8bb52ba9744982c045a6c9b5a59",
"sigmaType": "Coll[SByte]",
"renderedValue": "df346c2f68cd402957e1884e1dae2e89fcffd8bb52ba9744982c045a6c9b5a59"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "0cacccab80e69195bcc57b09ae8c647355e2eba1998675935ad738f8b5ae8902",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "0fc4c2a9e13167fdaa5140e9948c51bce0b9fbb095eb18b50ea68af41b288895",
"outputIndex": 1,
"outputGlobalIndex": 45018662,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20e059013e612f23152db384f5f7db60ee71eb000aad3a5f4ae01ee3247ff343b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "e059013e612f23152db384f5f7db60ee71eb000aad3a5f4ae01ee3247ff343b7"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "720581027fda23df39dd3c5e4eccb89fdf9752cd98cc0458c857deca646dc966",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "2dbcde684517a5785b0213a8a116c7113669ccefe4ea2b9c406d5b48700f7f71",
"outputIndex": 1,
"outputGlobalIndex": 45018667,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f27e19b30648fe7d8abcda9c3d63cf33d8e6008cb49bf9d097b9c867450af50a",
"sigmaType": "Coll[SByte]",
"renderedValue": "f27e19b30648fe7d8abcda9c3d63cf33d8e6008cb49bf9d097b9c867450af50a"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e209be354790e32113e4101f2351cc0d3e03a10489a6fbc6fbdb6164937136f6e1b",
"sigmaType": "Coll[SByte]",
"renderedValue": "9be354790e32113e4101f2351cc0d3e03a10489a6fbc6fbdb6164937136f6e1b"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "0af3275f48a2f6d8dfe3c7fd33232eac30391b6cc336d3841d964e74bb3b13fd",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "469f57b8d13fe6b7ec6db2efdebf0fcab08e3426abe595ebafca770c8efaf968",
"outputIndex": 1,
"outputGlobalIndex": 45018672,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e204a9ca8fac05b868ce3a3d6007896be74488cb11cfca6aaa42ff3dcc9aa6d95b2",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a9ca8fac05b868ce3a3d6007896be74488cb11cfca6aaa42ff3dcc9aa6d95b2"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20b65d3967a42cd24a25442557026fe36bdbec945d4efa7060aafcab8e0b2757b3",
"sigmaType": "Coll[SByte]",
"renderedValue": "b65d3967a42cd24a25442557026fe36bdbec945d4efa7060aafcab8e0b2757b3"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "710c07e9f6d21013c89f54ee9c146b12cf639ac244ed92b79d876c0f1028dcc5",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "49af160c9760cbcb4d3cd3db59bb5c709017316abc259087e46aadacb9ac30a9",
"outputIndex": 1,
"outputGlobalIndex": 45018677,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20e542dc8d3c7c9d9711b4a88b7fdf1a0427eb90bcb44b47eefadd4047896c3b0f",
"sigmaType": "Coll[SByte]",
"renderedValue": "e542dc8d3c7c9d9711b4a88b7fdf1a0427eb90bcb44b47eefadd4047896c3b0f"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20d31c845955ef0d15309fc04108da84dedff3b492d722f5fc38c053efa3ea258b",
"sigmaType": "Coll[SByte]",
"renderedValue": "d31c845955ef0d15309fc04108da84dedff3b492d722f5fc38c053efa3ea258b"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "a7608a8c3d7bfd109c01f2da208ab30d07fa3c4bfe0ab38c789e4d167b22d71d",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "55ea898cd3aeac46421fe2fe77d8fc5a133e686df09c459a658fef158728e9f2",
"outputIndex": 1,
"outputGlobalIndex": 45018682,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20451d78e793f7f882e98de2b388d3abbff1e5ca7abab7d15cf0c0d0dc2dc888b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "451d78e793f7f882e98de2b388d3abbff1e5ca7abab7d15cf0c0d0dc2dc888b4"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e205440725ab11406ae2882d56f529cc4e5101a412adc9521d4a4fd060e165ca21b",
"sigmaType": "Coll[SByte]",
"renderedValue": "5440725ab11406ae2882d56f529cc4e5101a412adc9521d4a4fd060e165ca21b"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "49685b39c2cacd8dbcd30198bd0d35538423fad843d60845d3b3310cd6e42a0f",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "5d02d8915398362b6d4f9a3fb1dd6efb5c0fc05a69bd3abe68423125f8c30443",
"outputIndex": 1,
"outputGlobalIndex": 45018687,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20a68c716af396c5454c1aa09e6be1a235d049bc8674ba6f5f61f8582e8c394ad9",
"sigmaType": "Coll[SByte]",
"renderedValue": "a68c716af396c5454c1aa09e6be1a235d049bc8674ba6f5f61f8582e8c394ad9"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "cff74e10eb5b1d8806d016613f160a128a20361e2ed95679b4a9fa3af1ea0da0",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "64293610452bdd3539035d9f808bec17b89faae655cd0ebf287a9fd14124f433",
"outputIndex": 1,
"outputGlobalIndex": 45018692,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e2075ebd25329ab9ca67a3c52beaeeecbde338533ddcbac390e641f5107d28a9a74",
"sigmaType": "Coll[SByte]",
"renderedValue": "75ebd25329ab9ca67a3c52beaeeecbde338533ddcbac390e641f5107d28a9a74"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "bfbddf55de8fc0aeeb4bbf82831c9c7d852bddab60692753cc614dd53510a4de",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "64387740a047fba8ec791763f8717cd590ad51412fb02c1dab59a6c792dcb5ce",
"outputIndex": 1,
"outputGlobalIndex": 45018697,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e2061834b1341b1dba4534d93ba7f1ba0bdaba0d1d79624c837bb39fbccf2aef3b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "61834b1341b1dba4534d93ba7f1ba0bdaba0d1d79624c837bb39fbccf2aef3b1"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e203a457b1156df442758281b9422be729b448ddf105ae9bfe2ada698e7695f75b9",
"sigmaType": "Coll[SByte]",
"renderedValue": "3a457b1156df442758281b9422be729b448ddf105ae9bfe2ada698e7695f75b9"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "4db2e8629d9bda1609a806d44f201b1467895b952aaa29be991b749062509fcc",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "75a09400a08e759b584272d9c3e96e418e24df070cbdba3da7a8436005c96ae4",
"outputIndex": 1,
"outputGlobalIndex": 45018702,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e2044182b8ecf403458f8beb6bc013646dcd30c336acb2ea888f44ae893936591b6",
"sigmaType": "Coll[SByte]",
"renderedValue": "44182b8ecf403458f8beb6bc013646dcd30c336acb2ea888f44ae893936591b6"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20b4116d65231604540ed08af7d2445beb6207a782885435c765ffd64cbd4d210e",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4116d65231604540ed08af7d2445beb6207a782885435c765ffd64cbd4d210e"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "4c1216d274763c6f3d2102e3b29cc9af4cff21521c9b254a21d60c2448460f23",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "9643ed9a3d1901ed9cc48727de7b1c673b50610abe7389fcd6f757078b363a44",
"outputIndex": 1,
"outputGlobalIndex": 45018707,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20d7406a795e7c805c06cb3c055834b9f1055fb023125203be5057502debaad3b5",
"sigmaType": "Coll[SByte]",
"renderedValue": "d7406a795e7c805c06cb3c055834b9f1055fb023125203be5057502debaad3b5"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "57361253980a2190b565ed901f59d46c0346e3408924f56d86881a4243dc21c8",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "9f8dcd70544b8ded1ae835d597b967354a067dc200b5b1603418ec16e4231df2",
"outputIndex": 1,
"outputGlobalIndex": 45018712,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20aa0609761948a3046d7ae714833c33dabd334848ebdcc37f5663ec2c9ea60e25",
"sigmaType": "Coll[SByte]",
"renderedValue": "aa0609761948a3046d7ae714833c33dabd334848ebdcc37f5663ec2c9ea60e25"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "82d1a4d4f82aec1aaae34313c14b58fe458a954c011fd345315ebd5fc82eacb0",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "a20b415d7263a62bb707ba3f753769645059b525823b2e535f7a8fd81f89f3ef",
"outputIndex": 1,
"outputGlobalIndex": 45018717,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e2068c4d5ed45f0910e584fe449bd79124987c8d10ed4592e3b3d4681a23c4cf4e9",
"sigmaType": "Coll[SByte]",
"renderedValue": "68c4d5ed45f0910e584fe449bd79124987c8d10ed4592e3b3d4681a23c4cf4e9"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e206908637bc2a1628aee6271de667b0dfb09d773b808939b9b597566df7d551e8e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6908637bc2a1628aee6271de667b0dfb09d773b808939b9b597566df7d551e8e"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "80cead56cb5a4ae5482f00b2d9ea1b143b8a4b8810029cc8cc0b01cd239f23a2",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "b320b2bb95c1ea37f698976f8747f30e4d5021292265c0765792f99c7179de61",
"outputIndex": 1,
"outputGlobalIndex": 45018722,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e207358c3b4461dd8e6dac5c445cda0e1ca6d524d4b55451c34d74ea0493c89779b",
"sigmaType": "Coll[SByte]",
"renderedValue": "7358c3b4461dd8e6dac5c445cda0e1ca6d524d4b55451c34d74ea0493c89779b"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "137080ac415b826e13e5fe44b5aa3175ef65ff1df882683a1dc3532a865db3fc",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "b39a188dcd52370fe756665f480fc84e20fcde7f261cfddd87bbfc4f5d3b101a",
"outputIndex": 1,
"outputGlobalIndex": 45018727,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20d0020b3046cae01066ad4268823a05c06f0a2be2785bff5f4e2a48b74b4977d8",
"sigmaType": "Coll[SByte]",
"renderedValue": "d0020b3046cae01066ad4268823a05c06f0a2be2785bff5f4e2a48b74b4977d8"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "d75323860342a0316ee19e3594378a81f0bc8c3ed7770929bf51338241840014",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "c88fd5f915b29716aac7eb350c772a501aff17fcff9f07db2bff3f63bd5dd46c",
"outputIndex": 1,
"outputGlobalIndex": 45018732,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e8e21b614376cf31a07755aab5aeeee1948b75beab968fbf4d9595790644443a",
"sigmaType": "Coll[SByte]",
"renderedValue": "e8e21b614376cf31a07755aab5aeeee1948b75beab968fbf4d9595790644443a"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e2033fc9ab777f11feeb7ec393f73f2ca0f76e220fb6421e4d121b1b45f7492b1c4",
"sigmaType": "Coll[SByte]",
"renderedValue": "33fc9ab777f11feeb7ec393f73f2ca0f76e220fb6421e4d121b1b45f7492b1c4"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "f9daeda96c989748706295649b3194be00791665f0414b64eb0d89933274c025",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "cc474ba90f0621953ab00a86c1768e0167aeb7e2750f630bf0b8f2a4b575d36a",
"outputIndex": 1,
"outputGlobalIndex": 45018737,
"outputCreatedAt": 1422639,
"outputSettledAt": 1422642,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20bb927f190098529a91de3dc41a18a5d3f243e6e2f31b453a66e38206f8137492",
"sigmaType": "Coll[SByte]",
"renderedValue": "bb927f190098529a91de3dc41a18a5d3f243e6e2f31b453a66e38206f8137492"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "c52a5636e13d588c60db0d9389f87e9d2367cfafb8d2fd349f6bdae97e64d320",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "cff4d65262576b6b6a539ea3484a1e3f26f378794432a41c1f9f31dfe64f952c",
"outputIndex": 1,
"outputGlobalIndex": 45018742,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20bab6dd40c442659e1838b93a27ec087b27134744c4762bd4eb38a45b66a2f6de",
"sigmaType": "Coll[SByte]",
"renderedValue": "bab6dd40c442659e1838b93a27ec087b27134744c4762bd4eb38a45b66a2f6de"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "da8326c01dbf7287f4edb43ee5adbab3044d825d33a2fdea6baa62fc73b19e2d",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "d165c966188e4ad75aac3c9dbac0355313b7d77db69a9361f476b5198548728e",
"outputIndex": 1,
"outputGlobalIndex": 45018747,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e20b0cc7cda0b859717b237549c51766ae13bceb6fa927bb1d6522c2bb5d6e09b68",
"sigmaType": "Coll[SByte]",
"renderedValue": "b0cc7cda0b859717b237549c51766ae13bceb6fa927bb1d6522c2bb5d6e09b68"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "d2746957eaf9c4664bcc798fd1eb15d684c18ae8c0aa9accf9e528ecb857763b",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "d9d3be9236e9d7a08fdcb0d1ac9d43394c85fae4d47801b49294917a40ba594d",
"outputIndex": 1,
"outputGlobalIndex": 45018752,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"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": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e207f57fdfb484f01c82ab6bb0a301df6a5e066b39db001444e25f5012e1d18eb90",
"sigmaType": "Coll[SByte]",
"renderedValue": "7f57fdfb484f01c82ab6bb0a301df6a5e066b39db001444e25f5012e1d18eb90"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "ec8e885dc0c3b679e363f6ab846b9a3f621ee9ebdc2ddd5b96c6f51d3b95e1cc",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "019549cced10932cd0c75921d3302b7fdd13b996fbc781fa82ff1591eddd584e",
"outputTransactionId": "fc52364aa1817132fe4f62458d606a8286e635952eef148be0a38fe99965c8df",
"outputIndex": 1,
"outputGlobalIndex": 45018757,
"outputCreatedAt": 1422640,
"outputSettledAt": 1422642,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20773d4518f29015fc0d297ab381cc330c6d7672b23b8826fc9efe12fe861a7a70",
"sigmaType": "Coll[SByte]",
"renderedValue": "773d4518f29015fc0d297ab381cc330c6d7672b23b8826fc9efe12fe861a7a70"
},
"R5": {
"serializedValue": "0e20b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8aecbcc326a89beee5aeda73dfaf65282d666aa0c7f3a84fb93df9832fbc906"
},
"R6": {
"serializedValue": "0e206920ee459e671609fe18d34d69b88c669872ae4eafe5deaf674d562cff9b14f4",
"sigmaType": "Coll[SByte]",
"renderedValue": "6920ee459e671609fe18d34d69b88c669872ae4eafe5deaf674d562cff9b14f4"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "73cc329a2cc318a48ca468f274fe53c1a23cd83dbdcf3f12d5ad24a36ba3f977",
"value": 2000000,
"index": 25,
"spendingProof": "c9676bdf9548fd8a7d28574d377bb1ef13fc1980d6c16489f2ca64a787df13f5eb513b2c88fc5430eee58009feb8cdeb3f4b17300220ead5",
"outputBlockId": "c1d6dbbaaa271667665d1ad9ba887686ec38fabf565e2c56faea5c713834e647",
"outputTransactionId": "22c65b6e5682c724b501bf9645f9673c5fa2a3bbd743726f6b6949fabd0fb16c",
"outputIndex": 3,
"outputGlobalIndex": 43998389,
"outputCreatedAt": 1398622,
"outputSettledAt": 1398624,
"ergoTree": "0008cd021bafeb81c666815b9718976c83af23ac0aea0a07166cc7e3ae899ffa331f2c3b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1bafeb,cb5562,...)))}",
"address": "9ejFkHNvU1vCaiGo6oFCYndGUgE3dMLaEnZCRrX2xnr7ketXrr7",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 7314,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "d727ab6a8056290cd98d019c8089c0ad24510e3caa5af7a14e672505db22a58a",
"value": 2000000,
"index": 26,
"spendingProof": "970f34ec305bd6304e63ecc30dd4fecf73c66861b9fd2358e7499749a8cf2400a61f0ecc9159d35b0c6dd24c4bbe3426209903cb5d08f0aa",
"outputBlockId": "b8a64ca4da1438858fefbeccadbb5bdce50da738cf9b5fc7f5dcaef85bd4b731",
"outputTransactionId": "352430b09794fe2d4c8200dc84338b7973eedfd37a94928ce3f5cb3c9bc58071",
"outputIndex": 3,
"outputGlobalIndex": 44004673,
"outputCreatedAt": 1398890,
"outputSettledAt": 1398893,
"ergoTree": "0008cd021bafeb81c666815b9718976c83af23ac0aea0a07166cc7e3ae899ffa331f2c3b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1bafeb,cb5562,...)))}",
"address": "9ejFkHNvU1vCaiGo6oFCYndGUgE3dMLaEnZCRrX2xnr7ketXrr7",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 2208,
"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": "2d8b148ad60bcc8ab5755e8daecbbef17c1e975048c54c04f732ce522b532534",
"value": 1100000,
"index": 1,
"outputBlockId": "e61682fd6f5665fc9ec35a174a68668cdfce187486c745f4745e7b820d839a08",
"outputTransactionId": "996d6f8c4a87c83f40a8f45d8d9d4a355b4add2e204f6adb2d5b93b77989bf4f",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e08657468657265756d",
"sigmaType": "Coll[SByte]",
"renderedValue": "657468657265756d"
},
"R5": {
"serializedValue": "0544",
"sigmaType": "SLong",
"renderedValue": "34"
}
}
}
],
"outputs": [
{
"boxId": "8a9dc4d5eb5d1eb8e1a0e0b8dceca8f550f81161057f231320c21f27c13b2de5",
"transactionId": "acd5d7dc274e41fe7f6106473934fe3027bfc4d1289aebb5b8f7e7d61536f55f",
"blockId": "4493c74220ecc256482775960acd64e4d24e577746da17e803f1b121c7eab911",
"value": 50000000,
"index": 0,
"globalIndex": 45018800,
"creationHeight": 1422642,
"settlementHeight": 1422645,
"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": 75000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20767d8c10a9a873f502043b0b9d6e9320cb1f0bb53c0857fdce01d09646f05e44",
"sigmaType": "Coll[SByte]",
"renderedValue": "767d8c10a9a873f502043b0b9d6e9320cb1f0bb53c0857fdce01d09646f05e44"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307862616465653035633532333261623839343032336334393766623132623162333861643833343931663333366163313462303838353635333934323532303634,657468657265756d,6572676f,307863383161653333653234613266333034373733356636343433306531623262613166643132356661,396731585a5941426b525732457a42686d386968456f51716f44317132677a73594e42437633593533564e616a6e67354b4d73,0000000000c94a79,0000000000014e64,0000000000000c53,307864323037643332323861643133366435363532336666626630346565323730363264613832383834,38623038636464353434396139353932613965373937313164376437393234396437613033633533356431376566616565383365323136653830613434633462,307830323630383561636165666662343233356463323035373034393364343831323331373035633931336637336265663034303330613263316132396230613137,00000000014768af]"
},
"R6": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
},
"R7": {
"serializedValue": "0432",
"sigmaType": "SInt",
"renderedValue": "25"
}
},
"spentTransactionId": "bb6a39eb4a539f43bdbb5a9dd3922fdf5a261c9734e46c9a500925721ead545e",
"mainChain": true
},
{
"boxId": "18f9e529bb786e267277e0907451b21a4e858439e9e8ebbb6928c3c2e876dcf6",
"transactionId": "acd5d7dc274e41fe7f6106473934fe3027bfc4d1289aebb5b8f7e7d61536f55f",
"blockId": "4493c74220ecc256482775960acd64e4d24e577746da17e803f1b121c7eab911",
"value": 2000000,
"index": 1,
"globalIndex": 45018801,
"creationHeight": 1422642,
"settlementHeight": 1422645,
"ergoTree": "0008cd021bafeb81c666815b9718976c83af23ac0aea0a07166cc7e3ae899ffa331f2c3b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1bafeb,cb5562,...)))}",
"address": "9ejFkHNvU1vCaiGo6oFCYndGUgE3dMLaEnZCRrX2xnr7ketXrr7",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 9522,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "00a5805b5968428e2598063f6d42920583a9804823be8bc23632a653a3823053",
"mainChain": true
},
{
"boxId": "2a5c52a2320a90e1b6b225d24e494def51c47496e92737ef739641ad3c7d0d7d",
"transactionId": "acd5d7dc274e41fe7f6106473934fe3027bfc4d1289aebb5b8f7e7d61536f55f",
"blockId": "4493c74220ecc256482775960acd64e4d24e577746da17e803f1b121c7eab911",
"value": 2000000,
"index": 2,
"globalIndex": 45018802,
"creationHeight": 1422642,
"settlementHeight": 1422645,
"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": "14deef510a36ca8f57dd557831ee0199c989d9ce2b15cfb59b75ca33d10af2d7",
"mainChain": true
}
],
"size": 2170,
"isUnconfirmed": false
}