Transaction
ID: 9dfee150f3...53da
Inputs (59)
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:
0.001020304 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
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:
5.6 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.115020304 ERG
Tokens:
174,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.6 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00205 ERG
Transaction Details
Confirmations: 185,868
Total coins transferred: 5.72 ERG
Fees: 0.00205 ERG
Fees per byte: 0.000000631 ERG
Raw Transaction Data
{
"id": "9dfee150f3ed1bdeeb8ecffec82d193a8ec106a48b3e98d9ebb41f277bbf53da",
"blockId": "444991a6ad33fed9b2c2165ebda53eeac0c116bb41088799215769cdb729682a",
"inclusionHeight": 1572665,
"timestamp": 1753024623072,
"index": 38,
"globalIndex": 9237351,
"numConfirmations": 185868,
"inputs": [
{
"boxId": "8c8f401d021ec4cb778a542b27ffbd5e9ddef9d2c525c7229be186bf58df6977",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c6050716317046b13b4581ef810a3ba86c878f3778e7260012d067bbe35ed91a",
"outputTransactionId": "3fa1d55be43ac695c3ad8e87631d875dbde122dd7efa64af1cdb720096258bf7",
"outputIndex": 1,
"outputGlobalIndex": 48994933,
"outputCreatedAt": 1572653,
"outputSettledAt": 1572655,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20dfd65138dc3890a4325ae72f530c65e275569d18002d5c79ba1955bc3630953a",
"sigmaType": "Coll[SByte]",
"renderedValue": "dfd65138dc3890a4325ae72f530c65e275569d18002d5c79ba1955bc3630953a"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20e9ea9a25f32a04207f036fe3412ca73b0f15a4874cd619a294e02ef26a967807",
"sigmaType": "Coll[SByte]",
"renderedValue": "e9ea9a25f32a04207f036fe3412ca73b0f15a4874cd619a294e02ef26a967807"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "d2f83c607811a236b1b5161b926f708b29536e28fa50687b43e14966d9972f38",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "c6050716317046b13b4581ef810a3ba86c878f3778e7260012d067bbe35ed91a",
"outputTransactionId": "16147426e3e28bade4db1ee3e08bd96b772f332e9485c7b33bb5292aca1030d2",
"outputIndex": 1,
"outputGlobalIndex": 48994938,
"outputCreatedAt": 1572654,
"outputSettledAt": 1572655,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203030527c8fc3b92734b408d82f1c27e71e929fdfcd3938771f5877f456dc2d53",
"sigmaType": "Coll[SByte]",
"renderedValue": "3030527c8fc3b92734b408d82f1c27e71e929fdfcd3938771f5877f456dc2d53"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20a81e3dbc915ff68e97f5da79d95679dd3b8b7504f45bc27c091fadbf0db9d355",
"sigmaType": "Coll[SByte]",
"renderedValue": "a81e3dbc915ff68e97f5da79d95679dd3b8b7504f45bc27c091fadbf0db9d355"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "0f052896e8d347af088a772b559bec38fb4158e4627acec670715c76e9eb5d12",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "c6050716317046b13b4581ef810a3ba86c878f3778e7260012d067bbe35ed91a",
"outputTransactionId": "ef90ab5e2c6f2bca016f02e4fd9f74b626b185f0db85f3f96e1ac4feb3df3ffe",
"outputIndex": 1,
"outputGlobalIndex": 48994943,
"outputCreatedAt": 1572654,
"outputSettledAt": 1572655,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0",
"sigmaType": "Coll[SByte]",
"renderedValue": "1de794fa1d9e574eb1f9330fd21df2e8258f0e0e5b6cf73a3b05ff5c633ea3d0"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2090e47ed01ff7df490d4d708829a5ca7150b1f43e743acf9be144a8672eaa3710",
"sigmaType": "Coll[SByte]",
"renderedValue": "90e47ed01ff7df490d4d708829a5ca7150b1f43e743acf9be144a8672eaa3710"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "5287d18806a1bc2eb9cc6192cfbbdb368ab024060f458c9b67400a42f74da768",
"value": 1020304,
"index": 3,
"spendingProof": null,
"outputBlockId": "c6050716317046b13b4581ef810a3ba86c878f3778e7260012d067bbe35ed91a",
"outputTransactionId": "1fef4d8aaae1bf1a77f78d7dbb608be49fe93d747787a9ce4bb596c00f2bc4f9",
"outputIndex": 1,
"outputGlobalIndex": 48994962,
"outputCreatedAt": 1572652,
"outputSettledAt": 1572655,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203847d489ece2d3d5a35a1bf26e214f54ac7939411e70b0f547e6a610ca784736",
"sigmaType": "Coll[SByte]",
"renderedValue": "3847d489ece2d3d5a35a1bf26e214f54ac7939411e70b0f547e6a610ca784736"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20817b942e6c03148f534883233d7c4e76866bbf930f7cbed356dd13b71249a609",
"sigmaType": "Coll[SByte]",
"renderedValue": "817b942e6c03148f534883233d7c4e76866bbf930f7cbed356dd13b71249a609"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "e06710eadf7ef059281f1723e02802f138645ea015172dc7a90b4b82f21c5c7f",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "24b1e0299c12ee1c38a9324e8b20bb37d39feca6c1d39431d826ebb702948dd0",
"outputTransactionId": "826dbe88d56fd05c5063643ce493eecbe0d5d141e916667b52d787e7122398cf",
"outputIndex": 1,
"outputGlobalIndex": 48994982,
"outputCreatedAt": 1572654,
"outputSettledAt": 1572656,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2061808ded4a40a59ed6d9b7d55286770bc4d9ac0209dbcfd3ca5c5e91343b493a",
"sigmaType": "Coll[SByte]",
"renderedValue": "61808ded4a40a59ed6d9b7d55286770bc4d9ac0209dbcfd3ca5c5e91343b493a"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e209bc1a268ff316cd3df5ed8acbc7d68d6424970e9a4ca43452227f648b37f593e",
"sigmaType": "Coll[SByte]",
"renderedValue": "9bc1a268ff316cd3df5ed8acbc7d68d6424970e9a4ca43452227f648b37f593e"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "56237176c52a54d6567d14938104e1be7e2dc7d26535b49eac0ce0609dec90b2",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "039a750efa8c3780b84f65149a0b027a113315a2886a7a0bdbd4fc187fb16181",
"outputIndex": 1,
"outputGlobalIndex": 48995115,
"outputCreatedAt": 1572660,
"outputSettledAt": 1572663,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200b8b089ac3fb8773a0213ef79ae3c9fee84d094be75c72a878d82fd1cd22db11",
"sigmaType": "Coll[SByte]",
"renderedValue": "0b8b089ac3fb8773a0213ef79ae3c9fee84d094be75c72a878d82fd1cd22db11"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e207e9e9e874c7c80a05aa9ab6bd35d820ec94e559b386115d54d317d30473ea660",
"sigmaType": "Coll[SByte]",
"renderedValue": "7e9e9e874c7c80a05aa9ab6bd35d820ec94e559b386115d54d317d30473ea660"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "10f4fc008c19082f50fa6dd939ee6fe7030887ea8f33cc0c424adb9748d5eace",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "3013afb872472a0350225ae3e07eb6d8fc90712fafc398fca85b4ca14385c495",
"outputIndex": 1,
"outputGlobalIndex": 48995120,
"outputCreatedAt": 1572660,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20816e06228aefd52d5c10755d98752a34b4b5c511e48028e7c731c6d29ae16586",
"sigmaType": "Coll[SByte]",
"renderedValue": "816e06228aefd52d5c10755d98752a34b4b5c511e48028e7c731c6d29ae16586"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20e18fef66255b8d90c5d7ba83c06e76c0ff9b3931d28e79389dd3342c8b7992b8",
"sigmaType": "Coll[SByte]",
"renderedValue": "e18fef66255b8d90c5d7ba83c06e76c0ff9b3931d28e79389dd3342c8b7992b8"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "7c800d7cc8228f8000f1930b9bb94c6d68e594c33c6c9219b85a3db7cee974c8",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "343f1422969b04993c22e443820eed9a271f414a159f058da027819afb35a170",
"outputIndex": 1,
"outputGlobalIndex": 48995125,
"outputCreatedAt": 1572662,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ea1a8d48ebf6ce2f907d0a2c235bd03382170fb417a23fa52e8ca40aedb6692c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ea1a8d48ebf6ce2f907d0a2c235bd03382170fb417a23fa52e8ca40aedb6692c"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20db64e3c717c0e12e56eb8b6bbca7c3d1190e84661ded220153aca3230e6d5778",
"sigmaType": "Coll[SByte]",
"renderedValue": "db64e3c717c0e12e56eb8b6bbca7c3d1190e84661ded220153aca3230e6d5778"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "36a89a117b604962afaca516bd8a31b42f85b6eeace62fe2e32015b5f3aee4e2",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "5f4902eb82949fa12ac051f8896f4c97c9d163f5a34429e8d442fa2810d861e9",
"outputIndex": 1,
"outputGlobalIndex": 48995130,
"outputCreatedAt": 1572661,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bd3bad6ce30002617e15c0d552c018816adecff18e0597fac962422190c7e6c4",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd3bad6ce30002617e15c0d552c018816adecff18e0597fac962422190c7e6c4"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20135fe1c27c4489c45cff9d8a4a223ba4134ba2ec960474ccf75c71a887bfe525",
"sigmaType": "Coll[SByte]",
"renderedValue": "135fe1c27c4489c45cff9d8a4a223ba4134ba2ec960474ccf75c71a887bfe525"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "e6d65d7f541bab8945cad52439874abe97f96566b65d483b82353d145a3bf817",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "9fbedad5def5cc5dc83922e716ece176317231657491de211dc0933e80ac8bd4",
"outputIndex": 1,
"outputGlobalIndex": 48995135,
"outputCreatedAt": 1572660,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201f5e0093911cdaa9258edb46ad972e5a91ed8addd75cfa1a2f51491c0ec5fcc3",
"sigmaType": "Coll[SByte]",
"renderedValue": "1f5e0093911cdaa9258edb46ad972e5a91ed8addd75cfa1a2f51491c0ec5fcc3"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20a9a06ab762096745abc7d5ce7281a0d9aee1f9f089dd880eb9676f0029f4d47c",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9a06ab762096745abc7d5ce7281a0d9aee1f9f089dd880eb9676f0029f4d47c"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "969dc9b9b95017d7f5332a4d8655e5e8b8aec03c761886cf439e32197b8cd2e7",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "a40a79cf9128f9a4e5eaf9c31d7e55b0eb77f2f21ad3efb925bbe2c0bda80570",
"outputIndex": 1,
"outputGlobalIndex": 48995140,
"outputCreatedAt": 1572661,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20977575ea724016bd32a53e56f1eed7e62e3a5a83e288774f454bd546d2ae1147",
"sigmaType": "Coll[SByte]",
"renderedValue": "977575ea724016bd32a53e56f1eed7e62e3a5a83e288774f454bd546d2ae1147"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20137d412d0b4cdff4ad77b88e443b565fa39c635e43abf2594c280d363d8e0e58",
"sigmaType": "Coll[SByte]",
"renderedValue": "137d412d0b4cdff4ad77b88e443b565fa39c635e43abf2594c280d363d8e0e58"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "9153808c4c0ec901b8b63cc49ea79eef860a7bc401876cc2db1d0f3ea15ddfe4",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "bb0eb0ecf801caf9bc3505fd58b9c47cb024ce4514cf45c8f643936183996feb",
"outputIndex": 1,
"outputGlobalIndex": 48995145,
"outputCreatedAt": 1572661,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fd80918bb386da1f3e8cf13178d6e80a28947f18d676bb703b1f3ab17715dc2b",
"sigmaType": "Coll[SByte]",
"renderedValue": "fd80918bb386da1f3e8cf13178d6e80a28947f18d676bb703b1f3ab17715dc2b"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2060a4d99edf672787ae9d7461dae3be8cd5610652d8114d41c4469558a513d675",
"sigmaType": "Coll[SByte]",
"renderedValue": "60a4d99edf672787ae9d7461dae3be8cd5610652d8114d41c4469558a513d675"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "182d955546a2785a06e95934d2fc11b49550eefea7dceb74ae8390dfc99bd18a",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "c37f7af312665c6065250299cc29b394a736766a48d1006109bdb81f91c74e8e",
"outputIndex": 1,
"outputGlobalIndex": 48995150,
"outputCreatedAt": 1572660,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2061bcd37f584dbda1ba40a3c45c064c1e342c7c66527fec3404ffde34a013aa90",
"sigmaType": "Coll[SByte]",
"renderedValue": "61bcd37f584dbda1ba40a3c45c064c1e342c7c66527fec3404ffde34a013aa90"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20b34b30490894f15f2c5fdc6ae80aef956ef07a6c573ff31b5e188a758ca59c14",
"sigmaType": "Coll[SByte]",
"renderedValue": "b34b30490894f15f2c5fdc6ae80aef956ef07a6c573ff31b5e188a758ca59c14"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "268b5ce506d4095eb67cb5542d87d22ebf1176e3a85865ad9010dcfc49f9471c",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "c93b686f2815ce441b93308fb6393f2d1e9372b1435c71419ae1fada5f1911d7",
"outputIndex": 1,
"outputGlobalIndex": 48995155,
"outputCreatedAt": 1572660,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201682e2e0612780cd9d401b0de8ab76ceee4a07e58ac6ff350c14fb13ce9d7905",
"sigmaType": "Coll[SByte]",
"renderedValue": "1682e2e0612780cd9d401b0de8ab76ceee4a07e58ac6ff350c14fb13ce9d7905"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20a4e16743636482d8221af67e9fc97d07f4bbd69d932325951df527365768bb66",
"sigmaType": "Coll[SByte]",
"renderedValue": "a4e16743636482d8221af67e9fc97d07f4bbd69d932325951df527365768bb66"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "21741321468deb4fcaf90111ed8fbb4cb4369688ffa065d2c27ba3fe76160596",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "caf15612a80703257817d71953d736cb2a3083ccd72c6678414e8da467f882c4",
"outputIndex": 1,
"outputGlobalIndex": 48995160,
"outputCreatedAt": 1572660,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205eb5f47a2cb427857032b032fca22c5c72a4214e5843c8a9eea2b226780fc451",
"sigmaType": "Coll[SByte]",
"renderedValue": "5eb5f47a2cb427857032b032fca22c5c72a4214e5843c8a9eea2b226780fc451"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2034c0c2fe608a7741fbab70a12c02dc83d8b83f51485d72a4b64f239595f3292c",
"sigmaType": "Coll[SByte]",
"renderedValue": "34c0c2fe608a7741fbab70a12c02dc83d8b83f51485d72a4b64f239595f3292c"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "2759fe67b899b6b524072f7f9a845e5b5c242030f0f63d83e778b05dae8b2507",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "d3fe786ed0d7d6da33b8b1270c8eba30a903a1d02a307f4944746886c0d8aa33",
"outputIndex": 1,
"outputGlobalIndex": 48995165,
"outputCreatedAt": 1572660,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2017356c3e70f96381e454acaf59325fd52855a25996c6eea6819b6686cf35e124",
"sigmaType": "Coll[SByte]",
"renderedValue": "17356c3e70f96381e454acaf59325fd52855a25996c6eea6819b6686cf35e124"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e207884f61d80d690f0c2507482083284a5637503805a899e4c344a94fda4c2cc15",
"sigmaType": "Coll[SByte]",
"renderedValue": "7884f61d80d690f0c2507482083284a5637503805a899e4c344a94fda4c2cc15"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "8f1679429c969bba6c9e5b90a1acd619bbac608c5ae67aa1fda08378c30aa279",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "eac4bb2f42287eacf44da010795b3faf4f927ab3c120db5900b41408460c3f9c",
"outputIndex": 1,
"outputGlobalIndex": 48995170,
"outputCreatedAt": 1572661,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f8757736b25efe278b816e9e56fda430056e78002cacad962d28bf9fe2576509",
"sigmaType": "Coll[SByte]",
"renderedValue": "f8757736b25efe278b816e9e56fda430056e78002cacad962d28bf9fe2576509"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e204c10cecaa6dc84d96ad051b400787e584e3185e0216c75c3f3d5c0ef66fcda9c",
"sigmaType": "Coll[SByte]",
"renderedValue": "4c10cecaa6dc84d96ad051b400787e584e3185e0216c75c3f3d5c0ef66fcda9c"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "06fa79a996683b4eafdaf54521a224ea991b1f608063b25be3ea2bec42fe2cc0",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "f5f21abb4899cc7e6effd522f2ef0c9419f9b9c056f32277959cef937439524e",
"outputIndex": 1,
"outputGlobalIndex": 48995175,
"outputCreatedAt": 1572661,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b55efc007116cf73871bdef92c73ef379fb9b8ecf607dafbfec08ceb2becb4b9",
"sigmaType": "Coll[SByte]",
"renderedValue": "b55efc007116cf73871bdef92c73ef379fb9b8ecf607dafbfec08ceb2becb4b9"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e202fc356751ece5582ef9b411d6e70f2fec0cfba87e53f0ea06dc5f4d3d6061f9d",
"sigmaType": "Coll[SByte]",
"renderedValue": "2fc356751ece5582ef9b411d6e70f2fec0cfba87e53f0ea06dc5f4d3d6061f9d"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "48c45f89c2dc4e334520e6012af11ba26bfb4f95b5ebac8b1d6f5bd914a14b7a",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "d35649bb8fd5acd8fcd5f5f085ffd1e9cce5b85439d234ea59420cdfbdb0bc82",
"outputTransactionId": "f64b24c30350d15a02319e9777577afc91f6a5368309a59516c3b1218f636592",
"outputIndex": 1,
"outputGlobalIndex": 48995180,
"outputCreatedAt": 1572661,
"outputSettledAt": 1572663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204ee0ea8e491cee003b0106415d88dcca7ed0a303a0896eca3e2b4e6ddfcd3b62",
"sigmaType": "Coll[SByte]",
"renderedValue": "4ee0ea8e491cee003b0106415d88dcca7ed0a303a0896eca3e2b4e6ddfcd3b62"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20ba71181fdadb8babe03719b2f2c52c8692be29546bc190643a59bbfb7a7ecb8a",
"sigmaType": "Coll[SByte]",
"renderedValue": "ba71181fdadb8babe03719b2f2c52c8692be29546bc190643a59bbfb7a7ecb8a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "92b210b62d6e34fcc94e7f36a8caf2e75c07e5df8cbec9f53a9571460ed2e524",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "30c994256e2ac16e7544220d4f67b60ad30ec631a0e230ddcddb7cc3d450facf",
"outputIndex": 1,
"outputGlobalIndex": 48995272,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20836bf73c061756e6c3ac7273dc127b6f2d2a90cbbf5487f1637949de7c621aa9",
"sigmaType": "Coll[SByte]",
"renderedValue": "836bf73c061756e6c3ac7273dc127b6f2d2a90cbbf5487f1637949de7c621aa9"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20a6f2b833dbc5ad0fdedb825b53b49982dc047079ec7da4000673a9f7b69f20eb",
"sigmaType": "Coll[SByte]",
"renderedValue": "a6f2b833dbc5ad0fdedb825b53b49982dc047079ec7da4000673a9f7b69f20eb"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "e25e3344ee36bcf17b496de7b162d384a4bc5c833f53d3e553b93c2304701c7c",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "804aa195b69860df420caa82b943b4fea2e7a913812d07d8262fc345757dd5ca",
"outputIndex": 1,
"outputGlobalIndex": 48995276,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a62134bd53d446c0c289aecf2749f266b5b2db6d65c3ba27dc34b5dc9692ab8d",
"sigmaType": "Coll[SByte]",
"renderedValue": "a62134bd53d446c0c289aecf2749f266b5b2db6d65c3ba27dc34b5dc9692ab8d"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20969b20bbcd94c3d29ad5b5ff4c5f29fe5bc9d2b551c80e8317a1e3d813139cce",
"sigmaType": "Coll[SByte]",
"renderedValue": "969b20bbcd94c3d29ad5b5ff4c5f29fe5bc9d2b551c80e8317a1e3d813139cce"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "421b4ac3ee3bf61357220b3baa4b671a7ec6a3859ae24cc4e94ff219be93c005",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "d7fd8e1eb488a1802470675eec7fb7ad715ee9585e1227073e504df15ed5ca4d",
"outputIndex": 1,
"outputGlobalIndex": 48995280,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fdcc8cd645392188bd37960f1afd7e1e2cb6a089af3be6c5b8d54924daf5cabe",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdcc8cd645392188bd37960f1afd7e1e2cb6a089af3be6c5b8d54924daf5cabe"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e201c48cd26fc7e848cdadccef4ae2a1367b3df34cbc35288562b885ffe9f222ba8",
"sigmaType": "Coll[SByte]",
"renderedValue": "1c48cd26fc7e848cdadccef4ae2a1367b3df34cbc35288562b885ffe9f222ba8"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "cb116f65ad9bc062e7221babdcf2aacf10a48c90d16c71a1549eb0081b9955fe",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "3aa753d6456a9da094768901783801935f7aaa54d816e9c6ccc23a6db32cd26d",
"outputIndex": 1,
"outputGlobalIndex": 48995284,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202c6dd9f1d60c3d726315ef4e49426d6f54bad1201ff1d7037e670da2e7d6243b",
"sigmaType": "Coll[SByte]",
"renderedValue": "2c6dd9f1d60c3d726315ef4e49426d6f54bad1201ff1d7037e670da2e7d6243b"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e208c5a0e36e36b269fb7f9c16a66f88d83c917a3023935e58f9fedff22472bcb2f",
"sigmaType": "Coll[SByte]",
"renderedValue": "8c5a0e36e36b269fb7f9c16a66f88d83c917a3023935e58f9fedff22472bcb2f"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "e91f872cd7f1a82634cdd84a9cd9e09bada56a35f69be643cb14eabb3b5b6e28",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "6e32d60ae4dfea2f2e880670efff61ea8eac6e628bf7e91c6c66eb15c3fb514c",
"outputIndex": 1,
"outputGlobalIndex": 48995289,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2060b97e8766e5cd19936ba19225ec827d4af72962acf60596886dbec32c6760d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "60b97e8766e5cd19936ba19225ec827d4af72962acf60596886dbec32c6760d2"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2035a2afe299bbd24686b7a2653b20139aae906cb2d795a55df0368b42727c2563",
"sigmaType": "Coll[SByte]",
"renderedValue": "35a2afe299bbd24686b7a2653b20139aae906cb2d795a55df0368b42727c2563"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "18b4fdae34cc4f3df226b7669a299285f9537490b63de74e9fb8ccef5626c6de",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "006e91a93de456a9da33aa2a6c5d4b77530cbc64a7ed1052e3d68add673e2a6a",
"outputIndex": 1,
"outputGlobalIndex": 48995294,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209646a8fce73640809babc7cfe05c3eb0ac55c276c70aa9c36aa88cb394d313e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "9646a8fce73640809babc7cfe05c3eb0ac55c276c70aa9c36aa88cb394d313e4"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20a46725b8585eda039924523088a185b022cabc4c683140a7ba75b93df977810d",
"sigmaType": "Coll[SByte]",
"renderedValue": "a46725b8585eda039924523088a185b022cabc4c683140a7ba75b93df977810d"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "98ab93d26b43de02338d238ec5314803ec3b128944d552e227ce8d1f7d9d5cfb",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "0abaed74ae61a964a8a34113b72eb8adb9e13445c725d8b4106f87c7d7d4a881",
"outputIndex": 1,
"outputGlobalIndex": 48995299,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ec9b08822c5093f714f75a898af6ecff7263e9209fe155b2eff730d6983be622",
"sigmaType": "Coll[SByte]",
"renderedValue": "ec9b08822c5093f714f75a898af6ecff7263e9209fe155b2eff730d6983be622"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2056eac152d813520acd57d368e28ee0a44ab94c1e6fc15abda699bf6d34fd9c2c",
"sigmaType": "Coll[SByte]",
"renderedValue": "56eac152d813520acd57d368e28ee0a44ab94c1e6fc15abda699bf6d34fd9c2c"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "4914b0fee35e0ef16b5f78aabfbe49da0742d2744aec62635dd67a882ac5ad82",
"value": 2000000,
"index": 26,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "0e649d98fc6e4d3261f4eae1bb00e186b2948cad634e781d694e74f3d924fd8c",
"outputIndex": 1,
"outputGlobalIndex": 48995304,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202fc089936114823aafbfb605e317ae8aa01a6d67182910edd02fe97808afacd2",
"sigmaType": "Coll[SByte]",
"renderedValue": "2fc089936114823aafbfb605e317ae8aa01a6d67182910edd02fe97808afacd2"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e207f14d78655e311f6f896b14a3a96f6207fce548d482b33c367f7dfc2595286b6",
"sigmaType": "Coll[SByte]",
"renderedValue": "7f14d78655e311f6f896b14a3a96f6207fce548d482b33c367f7dfc2595286b6"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "2a146a34b5e6c48ad54e43ecd2692035e405df800ec4952ac28add28f0aedbc3",
"value": 2000000,
"index": 27,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "1270500de07baa644dd0ec903d137b807661dc0201b8ebcb5df02431b238c683",
"outputIndex": 1,
"outputGlobalIndex": 48995309,
"outputCreatedAt": 1572661,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205e1b7525e2e3a8cf1034dbadcb19b163e16dbc40f665b164aeff8e328a723388",
"sigmaType": "Coll[SByte]",
"renderedValue": "5e1b7525e2e3a8cf1034dbadcb19b163e16dbc40f665b164aeff8e328a723388"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e200908861445af4cd51e07f574175d44bf7f9438d3a9c2c9927f0b20b20a56cf8d",
"sigmaType": "Coll[SByte]",
"renderedValue": "0908861445af4cd51e07f574175d44bf7f9438d3a9c2c9927f0b20b20a56cf8d"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "af566a0c9c577b5a6c6bdb8b401963e8d53bff79cfdf2c96a12cafb513cf307f",
"value": 2000000,
"index": 28,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "155d0ff677e4325da54fd02f89b0db6528cc9891913fac7025140d98fafa135c",
"outputIndex": 1,
"outputGlobalIndex": 48995314,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20739d1860890b0dc708cfbfc0acc4de4e8315e0a8275fb1d3c2f792f63517c613",
"sigmaType": "Coll[SByte]",
"renderedValue": "739d1860890b0dc708cfbfc0acc4de4e8315e0a8275fb1d3c2f792f63517c613"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20057de257be0f51b4bb6bccd5b9d7a656e4715d6f39650f700e735ec21f43c813",
"sigmaType": "Coll[SByte]",
"renderedValue": "057de257be0f51b4bb6bccd5b9d7a656e4715d6f39650f700e735ec21f43c813"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "bf61401c06189ad86229194d52233601cc09f0e060657a4c672f20f617e4c7ba",
"value": 2000000,
"index": 29,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "23c2dfda2777d723de03f07f6dd905768d3d69598479b9cee8738f4bf4f13c17",
"outputIndex": 1,
"outputGlobalIndex": 48995319,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20941a907f847a0a87e9acc97ee9401a92ddd754487a5f475e92abf5dcbf4f1b8f",
"sigmaType": "Coll[SByte]",
"renderedValue": "941a907f847a0a87e9acc97ee9401a92ddd754487a5f475e92abf5dcbf4f1b8f"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e200ba1375b6556898db61a99413fbeb15f7e90a6b8fd543f0f6bb8cfd6a608d20f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0ba1375b6556898db61a99413fbeb15f7e90a6b8fd543f0f6bb8cfd6a608d20f"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "bc2d3b305eb709ade91c77ce8530cc1131dfb1108d069c3a9e7f7ff5bb26a6b4",
"value": 2000000,
"index": 30,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "2986af7c0831acef8fcadb8d021b213ebed300784955f40f228c4b01a86e4a33",
"outputIndex": 1,
"outputGlobalIndex": 48995324,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20858364154eabe6054583c080acf9cd61a962a4f29e7fd33fa21bf20cf7de6012",
"sigmaType": "Coll[SByte]",
"renderedValue": "858364154eabe6054583c080acf9cd61a962a4f29e7fd33fa21bf20cf7de6012"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20da54289deb0559967962d1f0e59deed853b6da648100ec0ade0ec1ea8fb2e1e5",
"sigmaType": "Coll[SByte]",
"renderedValue": "da54289deb0559967962d1f0e59deed853b6da648100ec0ade0ec1ea8fb2e1e5"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "2427d196787c1de675c3800637325ad1bca6743139cd9e09998bc644ad4f1113",
"value": 2000000,
"index": 31,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "2cb75f671406f8c8b63e2481a538c18a383fd7cd72d23632006d8bff9eac4c8c",
"outputIndex": 1,
"outputGlobalIndex": 48995329,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f2e46f2673bd3f3ac486e74a518d32b7bf2390ee6df96e196a4a91e56968457c",
"sigmaType": "Coll[SByte]",
"renderedValue": "f2e46f2673bd3f3ac486e74a518d32b7bf2390ee6df96e196a4a91e56968457c"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2017b15f0765a5c385577ac95e363a9b2b1ad4f208fd7a2d54635a28f701b2ff7c",
"sigmaType": "Coll[SByte]",
"renderedValue": "17b15f0765a5c385577ac95e363a9b2b1ad4f208fd7a2d54635a28f701b2ff7c"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "6c3d5ad340fbe27e52d50d74a29141015cf2d2c371f9eec144c51252a8925560",
"value": 2000000,
"index": 32,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "2d4a84eaf6e140e1520721ab3802d8f057d4dd3a5a18e579a5bea92744e11db3",
"outputIndex": 1,
"outputGlobalIndex": 48995334,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209befb20ca71f2453e9eea84e21adc49f80415d2790d6859d6af2cb980bf38e6c",
"sigmaType": "Coll[SByte]",
"renderedValue": "9befb20ca71f2453e9eea84e21adc49f80415d2790d6859d6af2cb980bf38e6c"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20a6deb666889ce20982ad2d4b87d53d8a5a4abc519cd0ad7f222b50355c5b5f3d",
"sigmaType": "Coll[SByte]",
"renderedValue": "a6deb666889ce20982ad2d4b87d53d8a5a4abc519cd0ad7f222b50355c5b5f3d"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "c3e782a6732dba91a6dd43d898fac238111c0ffc7c60b1482e2006590fe3a859",
"value": 2000000,
"index": 33,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "34abb675290c7ada47faf8ea247d48fecb298d4754fe9a7c76682c9013d4a616",
"outputIndex": 1,
"outputGlobalIndex": 48995339,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2024561a79bddd066a10f354bb8579ce2b0f0b97d1d3088205cf9f3cefe9bd069f",
"sigmaType": "Coll[SByte]",
"renderedValue": "24561a79bddd066a10f354bb8579ce2b0f0b97d1d3088205cf9f3cefe9bd069f"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20d065e0390c81d86e3831f37c6c1bd0badb48f233f7f1a459512b19097f4b1d02",
"sigmaType": "Coll[SByte]",
"renderedValue": "d065e0390c81d86e3831f37c6c1bd0badb48f233f7f1a459512b19097f4b1d02"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "25a770304fd72b51d25b9b09132ad39b35694e3000daa2a406d6522405317d1f",
"value": 2000000,
"index": 34,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "355510c87446edf1abb46a4d7eebdfd9b173bd24474368bb1162049824027c63",
"outputIndex": 1,
"outputGlobalIndex": 48995344,
"outputCreatedAt": 1572662,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bc7cb8b5d2fd223b405caf56bb881115ccb7f967e0a776638f94c242c0507992",
"sigmaType": "Coll[SByte]",
"renderedValue": "bc7cb8b5d2fd223b405caf56bb881115ccb7f967e0a776638f94c242c0507992"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20a4a3d243255964786126c2b604b468df6d2ff30542cbb87bc31f8b67d7af04c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "a4a3d243255964786126c2b604b468df6d2ff30542cbb87bc31f8b67d7af04c7"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "38072f94c3aa5aa0ed08bc2da58a1249afccb90014f6a48308c4772d78422a65",
"value": 2000000,
"index": 35,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "4a8e956ab2ddd8f21570d4ba948aa62f5bbcdb0c0bc4524137458694d155541c",
"outputIndex": 1,
"outputGlobalIndex": 48995349,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20afdf1813b7ade06cc3446ddf0f62b2f60bfda6f548f2d7f62363906a9bbead61",
"sigmaType": "Coll[SByte]",
"renderedValue": "afdf1813b7ade06cc3446ddf0f62b2f60bfda6f548f2d7f62363906a9bbead61"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2036645811fa83744ba00fc4e7ecba31445e092097f358d5e54e0dad12fee8ac03",
"sigmaType": "Coll[SByte]",
"renderedValue": "36645811fa83744ba00fc4e7ecba31445e092097f358d5e54e0dad12fee8ac03"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "625fdc29b71eb745a70b1a3df874d2c794f8ab3ec1a5fdcc0c7491028638926a",
"value": 2000000,
"index": 36,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "7863e530635d5ec603256f3e3b030f25d2bd145807bf06d9c889d96f3d3d6758",
"outputIndex": 1,
"outputGlobalIndex": 48995354,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202ab1c00b4fb07d620ba86addd523a7287c98fc4a933f009a130f1467a6bc49a0",
"sigmaType": "Coll[SByte]",
"renderedValue": "2ab1c00b4fb07d620ba86addd523a7287c98fc4a933f009a130f1467a6bc49a0"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e203c347db0d8d9edaea002037293065a1f4c2ce53c07d8edc511cf8f454625c482",
"sigmaType": "Coll[SByte]",
"renderedValue": "3c347db0d8d9edaea002037293065a1f4c2ce53c07d8edc511cf8f454625c482"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "bd3bda6bb37faaa8fb0ac3ae189b1603e564fd9ace3484b8e88f1257571db03d",
"value": 2000000,
"index": 37,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "7a2fd8f886ae0f710377356b076121c082ec16006edf39a93c3fd442939331e6",
"outputIndex": 1,
"outputGlobalIndex": 48995359,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208f556339cfddc339c968633ba2868e97820880b1d33868fbc6496b0688087a5d",
"sigmaType": "Coll[SByte]",
"renderedValue": "8f556339cfddc339c968633ba2868e97820880b1d33868fbc6496b0688087a5d"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e200a8696427790e882b2e2502587f17cc4b79fdf24e67247c1284ac9ac57f26395",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a8696427790e882b2e2502587f17cc4b79fdf24e67247c1284ac9ac57f26395"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "05d798fe067374357e5dcc439e417b0a34912ae84848a16944fa447c9319f161",
"value": 2000000,
"index": 38,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "7bb48c5a459afbb92687b8b28242af8469e46c370fdbd45dae89e20fdd8aa667",
"outputIndex": 1,
"outputGlobalIndex": 48995364,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d3a867a5cd6c938dbca54e6ecad783a618051888dbaeecb8479ab6875fd56287",
"sigmaType": "Coll[SByte]",
"renderedValue": "d3a867a5cd6c938dbca54e6ecad783a618051888dbaeecb8479ab6875fd56287"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e200895bea5ef55437218e4eed08ef9de67c7950d6620edb80827192e2b1a0b5b64",
"sigmaType": "Coll[SByte]",
"renderedValue": "0895bea5ef55437218e4eed08ef9de67c7950d6620edb80827192e2b1a0b5b64"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "ed6750bcb588d2e9214e7a84f52f207cefdaa74b59fa7903799cdce42ca60949",
"value": 2000000,
"index": 39,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "92d815a9e32cdf77d1ef142ceb79b8075752418a5194bae7a3979fab7017c9c9",
"outputIndex": 1,
"outputGlobalIndex": 48995369,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203a1bb7561db78cdef24e118281c4440b74503ba28f7ee9ba5b3dabb0066f24bf",
"sigmaType": "Coll[SByte]",
"renderedValue": "3a1bb7561db78cdef24e118281c4440b74503ba28f7ee9ba5b3dabb0066f24bf"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2015e8b75810a106b77ed85e6147a9356c606eb5f04e4750efd7ebec4e524d9867",
"sigmaType": "Coll[SByte]",
"renderedValue": "15e8b75810a106b77ed85e6147a9356c606eb5f04e4750efd7ebec4e524d9867"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "1325bb1272113f29a56606e3a216ef8a9e024d9e41a4b0f7a7acffad4abcba6c",
"value": 2000000,
"index": 40,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "983710aa0d011163815e22c2c2224280315424fda4ba20293f06343e540d30ab",
"outputIndex": 1,
"outputGlobalIndex": 48995374,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20331de059e9cb443c691e5229f84bdf1866c2b81d23d4ff75206ff83f80e6eb53",
"sigmaType": "Coll[SByte]",
"renderedValue": "331de059e9cb443c691e5229f84bdf1866c2b81d23d4ff75206ff83f80e6eb53"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e209b2ec513b3471dbd1dfed062559e0bab9c29e3539b89b1686a82f7bea533c6fd",
"sigmaType": "Coll[SByte]",
"renderedValue": "9b2ec513b3471dbd1dfed062559e0bab9c29e3539b89b1686a82f7bea533c6fd"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "2630967b0733044cf3f0da4394bb2834afcc47bb9179d17378be2d2ccf734a9d",
"value": 2000000,
"index": 41,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "b500447ba5edc4d8a5a7d44691a0af592e77fdfd4f989700020887fa514d2d2d",
"outputIndex": 1,
"outputGlobalIndex": 48995379,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2006d578090dc9c7ce05b98f295be52219842f3264a4cc5fea284404fbb0104329",
"sigmaType": "Coll[SByte]",
"renderedValue": "06d578090dc9c7ce05b98f295be52219842f3264a4cc5fea284404fbb0104329"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20099aac21660ccc04215b7066e75abb6052bc209b6be9b3f013b36506aacababe",
"sigmaType": "Coll[SByte]",
"renderedValue": "099aac21660ccc04215b7066e75abb6052bc209b6be9b3f013b36506aacababe"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "678a2c25d9fd73d2df9dec93935db945ec91a30dedc720d2d02473cd7fedc749",
"value": 2000000,
"index": 42,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "b7d977669aac17aac68243567da15a048994eb6fb2791d492adc78f91400120d",
"outputIndex": 1,
"outputGlobalIndex": 48995384,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205f3ebc8b1f39374e2a78d4f6608a3c49ba816392501df9209976c9ad8091fe97",
"sigmaType": "Coll[SByte]",
"renderedValue": "5f3ebc8b1f39374e2a78d4f6608a3c49ba816392501df9209976c9ad8091fe97"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e208e18a24d8c40930361b7a59460d108f333c08225ef54a9cf0f94326bc919ebd8",
"sigmaType": "Coll[SByte]",
"renderedValue": "8e18a24d8c40930361b7a59460d108f333c08225ef54a9cf0f94326bc919ebd8"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "49397680d790dfd17b595894fa117e7a10383ade7200fb55784dcdf9f1bf2208",
"value": 2000000,
"index": 43,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "c0fe0e1d199101da8b35b7493029ed43cd90b002f2b4174f5c6d6ab3efb5fd95",
"outputIndex": 1,
"outputGlobalIndex": 48995389,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e65bec11df9bd84bb660a436e9eff7e12bb6a53d25548e4747c54d04a2bcd539",
"sigmaType": "Coll[SByte]",
"renderedValue": "e65bec11df9bd84bb660a436e9eff7e12bb6a53d25548e4747c54d04a2bcd539"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20cef2457562c9a223ff0105d9f4d1144110f6dba36fa5fd586d7fea319869ba5a",
"sigmaType": "Coll[SByte]",
"renderedValue": "cef2457562c9a223ff0105d9f4d1144110f6dba36fa5fd586d7fea319869ba5a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "84c5003175387f592409cc9d902e0053a2ba13ab2dd19969e3f829085dd96870",
"value": 2000000,
"index": 44,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "d9e0cd37ecb5d8466d5c4033da026626dcbe07403b95b8e28df2e2caae43443c",
"outputIndex": 1,
"outputGlobalIndex": 48995394,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2008050389b4f96a3b204c8c298bcb8e7df84183b3219676d3d3b605cbb7a75be2",
"sigmaType": "Coll[SByte]",
"renderedValue": "08050389b4f96a3b204c8c298bcb8e7df84183b3219676d3d3b605cbb7a75be2"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e203e7864787bcb759eead984659ecf7cd2f65fceafc770e6c1b10e14a275ae7077",
"sigmaType": "Coll[SByte]",
"renderedValue": "3e7864787bcb759eead984659ecf7cd2f65fceafc770e6c1b10e14a275ae7077"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "030f7601b98b69fd911156cf93d1e52c8a98459327116cbec3ac918bd892c10f",
"value": 2000000,
"index": 45,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "da3cc5525679391c5a5e427f94e508f83d578927ea79f08e1accaf3e868b1d53",
"outputIndex": 1,
"outputGlobalIndex": 48995399,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d4cde4088ed357a90cc7a28ca8de11c6906bfd6c014c83741b45ee6e12fe02cf",
"sigmaType": "Coll[SByte]",
"renderedValue": "d4cde4088ed357a90cc7a28ca8de11c6906bfd6c014c83741b45ee6e12fe02cf"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e206779fed5474b927f7361257c852f31c42d19f428819ffb81644758492cb13a08",
"sigmaType": "Coll[SByte]",
"renderedValue": "6779fed5474b927f7361257c852f31c42d19f428819ffb81644758492cb13a08"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "1f2070b818d0c2b34529bc1c89f0a2fbb176459b6e890aa1e21a338783e8b419",
"value": 2000000,
"index": 46,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "dee684e8c171f42a0fa364ca36d7287f3a2115193232fcd6cbc454f533ce1578",
"outputIndex": 1,
"outputGlobalIndex": 48995404,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209ca7b72de501ababe6cdf726447497fe63612dae437fc1e3e69aaa55ae8914c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "9ca7b72de501ababe6cdf726447497fe63612dae437fc1e3e69aaa55ae8914c2"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20efae7b0364beb67e7cce4afd2fb01431e2c617073a5a2f988b8b7fe31ae94f33",
"sigmaType": "Coll[SByte]",
"renderedValue": "efae7b0364beb67e7cce4afd2fb01431e2c617073a5a2f988b8b7fe31ae94f33"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "b30fdca21daf0d218dc34de80106f377178031c2a69826d8edd48154b94d8c41",
"value": 2000000,
"index": 47,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "e3e2832ff7ec6b98dbc8d3d419c460e4014d2d2a657f14e6654108903173fe17",
"outputIndex": 1,
"outputGlobalIndex": 48995409,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2048a17bba268c94ea3deb5bbee88e887e96f8b616e7c20de563875b5731b72dd9",
"sigmaType": "Coll[SByte]",
"renderedValue": "48a17bba268c94ea3deb5bbee88e887e96f8b616e7c20de563875b5731b72dd9"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e208c71cf3a934353a78b4f7cfd6c7a6abe676657ff15baf5b4c86c514cc22a7d0f",
"sigmaType": "Coll[SByte]",
"renderedValue": "8c71cf3a934353a78b4f7cfd6c7a6abe676657ff15baf5b4c86c514cc22a7d0f"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "82821fe71c2d30251283f8890990e0d933dbc05d60e6977f24d5cf8e03fa973a",
"value": 2000000,
"index": 48,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "e73d58e7bd3932f7283e0bb4f1249ec1148707cdca7266140c1723f23ebbc219",
"outputIndex": 1,
"outputGlobalIndex": 48995414,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200d9491b31d1dab5909f40011bcc9581ba8d8df1ebcb5a31077568f5c36855664",
"sigmaType": "Coll[SByte]",
"renderedValue": "0d9491b31d1dab5909f40011bcc9581ba8d8df1ebcb5a31077568f5c36855664"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e208c8e153d6f7ce8b20b9cdd2ee05f6926f6baf65866139dce83591990d6b2430a",
"sigmaType": "Coll[SByte]",
"renderedValue": "8c8e153d6f7ce8b20b9cdd2ee05f6926f6baf65866139dce83591990d6b2430a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "0a603143d05a75cf310ccbe8bf18bb6c6fc6777b818ef407c2e098187a30078b",
"value": 2000000,
"index": 49,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "f4433fb2904fc997655e81fca90f91af2a5bf0dc825ad30af37b33fbc184a4e6",
"outputIndex": 1,
"outputGlobalIndex": 48995419,
"outputCreatedAt": 1572661,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2090bc9caeb899a75a948e76e476e3e963345f4d6fd1dc63713a46586b84590579",
"sigmaType": "Coll[SByte]",
"renderedValue": "90bc9caeb899a75a948e76e476e3e963345f4d6fd1dc63713a46586b84590579"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2036596103636de554e620c4fc574a369d3eccd50baee999b2cd78e49a757d78d1",
"sigmaType": "Coll[SByte]",
"renderedValue": "36596103636de554e620c4fc574a369d3eccd50baee999b2cd78e49a757d78d1"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "ff894a47453056e7b1358f33a626d963ee59d2aecfc3d0e354181b598791fcbe",
"value": 2000000,
"index": 50,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "faa67adb6f84abb1072cb3efb37d2d7baa7aff37a0183e926486fa9dc4e3ca82",
"outputIndex": 1,
"outputGlobalIndex": 48995424,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2034fed3111bdb785179a1737743d36109bec01fcf6891e4088ecfea5eeb342438",
"sigmaType": "Coll[SByte]",
"renderedValue": "34fed3111bdb785179a1737743d36109bec01fcf6891e4088ecfea5eeb342438"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2082ef0f2023fd9123d9b3becb888c6105b1e73f0d2f02052e61bcfa7f2d85f30a",
"sigmaType": "Coll[SByte]",
"renderedValue": "82ef0f2023fd9123d9b3becb888c6105b1e73f0d2f02052e61bcfa7f2d85f30a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "594e815ed2b65f580dc7fa709a0664a989fc0a378b872c5a7307fc7ac17c31ea",
"value": 2000000,
"index": 51,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "ff5cca0bf5b421a6a5313735d490b4d5d525ba82e5ba4fb26d787f5b455fa2f1",
"outputIndex": 1,
"outputGlobalIndex": 48995429,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d56cdd51140e2cec1fa0764c9e96645447c93e1ed113c82f5c8629d7e88a33c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "d56cdd51140e2cec1fa0764c9e96645447c93e1ed113c82f5c8629d7e88a33c6"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20ac72a95eef72fc5c2759039cbe2839c0f7cb2b7ff639f2ae27f1f9c00e1232c1",
"sigmaType": "Coll[SByte]",
"renderedValue": "ac72a95eef72fc5c2759039cbe2839c0f7cb2b7ff639f2ae27f1f9c00e1232c1"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "eaaaec803dad861feaf90d7c6795269ba894987d37e31f2831d0ebb0df99d291",
"value": 2000000,
"index": 52,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "53406a7d5217c07ccdb960b5fb8da446f6daa8084c164f2754b5a40d1514dfbd",
"outputIndex": 1,
"outputGlobalIndex": 48995434,
"outputCreatedAt": 1572661,
"outputSettledAt": 1572664,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2051c49be545b1a83ac47316b0142e46ecd1363c392e2521feff44c2a7c5d3f4d4",
"sigmaType": "Coll[SByte]",
"renderedValue": "51c49be545b1a83ac47316b0142e46ecd1363c392e2521feff44c2a7c5d3f4d4"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e206632005ecc1ea699ca4f52edd6d07103c6a0a165d9bc4c20eafbf84caad99d0d",
"sigmaType": "Coll[SByte]",
"renderedValue": "6632005ecc1ea699ca4f52edd6d07103c6a0a165d9bc4c20eafbf84caad99d0d"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "87bc614f5cc3b926abdc3be71237a51b4d460e752b6dbc133fbfc85a1ed3bd14",
"value": 2000000,
"index": 53,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "63263786ec70f7b8833b07e999f680bb7dabd041214a93e4f1d4ac36cb1422e1",
"outputIndex": 1,
"outputGlobalIndex": 48995439,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202cff108ab0b917e019171f059330ba7b3a05c4fdeeade47383f5892cbee92259",
"sigmaType": "Coll[SByte]",
"renderedValue": "2cff108ab0b917e019171f059330ba7b3a05c4fdeeade47383f5892cbee92259"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2028a4372ee2269e4e52b8b59c83c006d514522f00e98b08bc6943191f8f5dc86f",
"sigmaType": "Coll[SByte]",
"renderedValue": "28a4372ee2269e4e52b8b59c83c006d514522f00e98b08bc6943191f8f5dc86f"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "103e2a6301550ac284d50363a82622a9acc86f613ae328b37d68a4830c5040d8",
"value": 2000000,
"index": 54,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "818aac90bc5dbfd8fa2b1175e6e217873749672f359a39e0858a0792e83940c3",
"outputIndex": 1,
"outputGlobalIndex": 48995444,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207ad627001256877143f9f28be725c71ff041c46253bd50771ba239cb5f4673f9",
"sigmaType": "Coll[SByte]",
"renderedValue": "7ad627001256877143f9f28be725c71ff041c46253bd50771ba239cb5f4673f9"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20f7b40c2ed33c9e2860d2ee947c4d593f7197fe8185b78573673eabbc584e3dc6",
"sigmaType": "Coll[SByte]",
"renderedValue": "f7b40c2ed33c9e2860d2ee947c4d593f7197fe8185b78573673eabbc584e3dc6"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "a8042246f2bb9e9ffe5cc5101397d94ef64e806fb2d667011debbc182218a6e3",
"value": 2000000,
"index": 55,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "a396973eb187e6af5e3c2123d60997ed11ee820384825f0e5e1f76762e1c7655",
"outputIndex": 1,
"outputGlobalIndex": 48995449,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ae560ab6a7a5d79e75fad539789f2d995c03e426663beac1754bfc95e1155d6c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ae560ab6a7a5d79e75fad539789f2d995c03e426663beac1754bfc95e1155d6c"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e2039f148b85c509de6ab98c37576fd3c9c93a6ae3abc7bccad4282f1051f64edf9",
"sigmaType": "Coll[SByte]",
"renderedValue": "39f148b85c509de6ab98c37576fd3c9c93a6ae3abc7bccad4282f1051f64edf9"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "f1dc000ceaa201f9b71f005f0d0083c9a0ff0aadbdfe18f96e6d8083bc743a27",
"value": 2000000,
"index": 56,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "a03db0b67bad9c4b57b729a420b4df5b5347d75ae6b9f53274d97e82ed82fcf5",
"outputIndex": 1,
"outputGlobalIndex": 48995454,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d3120443c6e1b6a41bf1f98e18c98f5c91956cb2d37765be76bbbe5ee9219157",
"sigmaType": "Coll[SByte]",
"renderedValue": "d3120443c6e1b6a41bf1f98e18c98f5c91956cb2d37765be76bbbe5ee9219157"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e20764b278a812368c89f58f9d0c8546f6866b53b5c50782c1d6082beb0fb6cc0a3",
"sigmaType": "Coll[SByte]",
"renderedValue": "764b278a812368c89f58f9d0c8546f6866b53b5c50782c1d6082beb0fb6cc0a3"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "30f394d7cad7d99d4c1d18e59f394b52565fbfc502c8eac2f89f9db4dad2724c",
"value": 2000000,
"index": 57,
"spendingProof": null,
"outputBlockId": "4a00f72911f34dfda0cd879012991aedbade7d0d43aeb5cfecce040a0dadf6cb",
"outputTransactionId": "45ae8186a70178300950293b137097c4bd620a8fea68ee60d3e8b40512fd5e5f",
"outputIndex": 1,
"outputGlobalIndex": 48995459,
"outputCreatedAt": 1572663,
"outputSettledAt": 1572664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20745badfc535a5f16c4c297ad76b925c310e57cb9126e00d8dc09b82d063ad9bb",
"sigmaType": "Coll[SByte]",
"renderedValue": "745badfc535a5f16c4c297ad76b925c310e57cb9126e00d8dc09b82d063ad9bb"
},
"R5": {
"serializedValue": "0e209e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e14099a394d7f328b47b8547f0cd94cf261ab1fb423fd2d8bee8bfb46c5a8e6"
},
"R6": {
"serializedValue": "0e208626572cfbe53f473e9052304ad821b2cf106f4639005b6aba3f8489cc4125cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "8626572cfbe53f473e9052304ad821b2cf106f4639005b6aba3f8489cc4125cc"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "ebb1470b3bfd53a8ef23d209e20c5a39a2fa62413c0603db6c79f4b61e3d654c",
"value": 5603452162,
"index": 58,
"spendingProof": "9798590aadde0062fb77c143fb039320b33a3d4a5bd494c33128014e2ee9c561fba298827ae0c38d08fe9431b997f584bae132d22aa13961",
"outputBlockId": "48e53694ea230cf8fdca438a3d26ace05e450870a5b99c0719b1c4f5ad1c1460",
"outputTransactionId": "21de7d85730b21fe65857f028ba47bd67d59c46dabfa939d7285b226d4589cf2",
"outputIndex": 2,
"outputGlobalIndex": 48981341,
"outputCreatedAt": 1572097,
"outputSettledAt": 1572099,
"ergoTree": "0008cd02ab7ff2d4d61dc5c565846dcb8dfe7ebcd3add013239f05b358b42857da9de06b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ab7ff2,fa9ed1,...)))}",
"address": "9fpbFHtHwgSioMeCvMptHf4mZcGMQHxbuKTJAD2HZZK3dH8bA6p",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "5f2dcf975ff3e35d29c89b9d05764b74d68f5e700ae165a0ea427df7e7275e13",
"value": 1100000,
"index": 0,
"outputBlockId": "9cd9da9a7bebc91af8af522b342397f6f0cb88719817b60aa0cb53a9758daccf",
"outputTransactionId": "a0029995fad90f6b31ac46d0ad4e823a8349c16a413f885c829c74a840107a3b",
"outputIndex": 3,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
}
}
},
{
"boxId": "d895c6d9384fba2fb13338d88d36f1fbf22cabeb2e1cde66d9e7a115cd9a0054",
"value": 2000000,
"index": 1,
"outputBlockId": "4aaa3f6b6dfd001e105560938118ac2784b5ce91afd3bba5c432ada8c0491843",
"outputTransactionId": "c60e047820f132c3178b59e8510c0ba27e442499a5b990c7c8a09ec5114d7853",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0763617264616e6f",
"sigmaType": "Coll[SByte]",
"renderedValue": "63617264616e6f"
},
"R5": {
"serializedValue": "05ae01",
"sigmaType": "SLong",
"renderedValue": "87"
}
}
}
],
"outputs": [
{
"boxId": "971b980006e45312b247e3bf96cc6b461b3f2ab41f26ca30a37f1eb50e4ce8fc",
"transactionId": "9dfee150f3ed1bdeeb8ecffec82d193a8ec106a48b3e98d9ebb41f277bbf53da",
"blockId": "444991a6ad33fed9b2c2165ebda53eeac0c116bb41088799215769cdb729682a",
"value": 115020304,
"index": 0,
"globalIndex": 48995646,
"creationHeight": 1572664,
"settlementHeight": 1572665,
"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(-100,-40,-42,8,-67,7,83,-112,71,-26,-32,-54,31,-35,-93,-73,65,-83,76,86,-26,119,89,-19,-69,113,-76,14,86,-43,-62,-5)\n10: 1\n11: 0\n12: Coll(11,58,-99,21,-105,-66,-75,-57,-86,-62,-54,-90,83,-28,-96,63,76,-36,59,117,-72,-53,-13,9,-127,37,-99,-30,-4,115,113,104)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 174000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c46c9ba2999400bfb57e98ceb21a3cdc667717a5e2a82d3f804296eeec6885f2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c46c9ba2999400bfb57e98ceb21a3cdc667717a5e2a82d3f804296eeec6885f2"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[66356562303434303462636437326432326137633466623531376539323764613139643462396564613561303466666538663439636630313236653563656531,63617264616e6f,6572676f,616464723171387665617939363267733839346e3677656e6568306570636d7a3776723064386a706d663677376d7868736d717134667079636a6d6579776672756d76363063703333366567796c747a736c6a763730746175646c3361666b6b71723263393374,39657a75564a5a507a67617a7137587a72666e674a6d706951335a6d71325939355271714354424b3852644d4132736b754653,00000000008265b6,000000000002e9d5,0000000000001211,30346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733353235333465,38623038636464353434396139353932613965373937313164376437393234396437613033633533356431376566616565383365323136653830613434633462,65376264343534343337386630653137353936363262313563663038353537626364626532323566616536326161333033356331323665653561636465303464,0000000000b964ab]"
},
"R6": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
},
"R7": {
"serializedValue": "0474",
"sigmaType": "SInt",
"renderedValue": "58"
}
},
"spentTransactionId": "49b461a437f55fb275ceabbba839c39bb0df081511e29363c80b6e63140b5efc",
"mainChain": true
},
{
"boxId": "733c00f696481d7f086c90909b3a8996305e641de9d88b4fba2feb03f7177300",
"transactionId": "9dfee150f3ed1bdeeb8ecffec82d193a8ec106a48b3e98d9ebb41f277bbf53da",
"blockId": "444991a6ad33fed9b2c2165ebda53eeac0c116bb41088799215769cdb729682a",
"value": 5601402162,
"index": 1,
"globalIndex": 48995647,
"creationHeight": 1572664,
"settlementHeight": 1572665,
"ergoTree": "0008cd02ab7ff2d4d61dc5c565846dcb8dfe7ebcd3add013239f05b358b42857da9de06b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ab7ff2,fa9ed1,...)))}",
"address": "9fpbFHtHwgSioMeCvMptHf4mZcGMQHxbuKTJAD2HZZK3dH8bA6p",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "cea10c2cc544aea67077cd6a02e860b21bbd54db56f2f4500bdbb9d4094fdfed",
"mainChain": true
},
{
"boxId": "68dba9cadf62291e7f8dbff62ddfbbc0141d1a2b5865f8f4481e3fd35aebcc67",
"transactionId": "9dfee150f3ed1bdeeb8ecffec82d193a8ec106a48b3e98d9ebb41f277bbf53da",
"blockId": "444991a6ad33fed9b2c2165ebda53eeac0c116bb41088799215769cdb729682a",
"value": 2050000,
"index": 2,
"globalIndex": 48995648,
"creationHeight": 1572664,
"settlementHeight": 1572665,
"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": "6a4a85e926d7ecf53fba2af5c7626f5b6eb77d57eaeebaebcad2dfc47a97c917",
"mainChain": true
}
],
"size": 3250,
"isUnconfirmed": false
}