Transaction
ID: 5e7be42f84...82d7
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:
0.002 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:
0.00101 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0076 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.11501 ERG
Tokens:
174,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00555 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00205 ERG
Transaction Details
Confirmations: 355,434
Total coins transferred: 0.12261 ERG
Fees: 0.00205 ERG
Fees per byte: 0.00000063 ERG
Raw Transaction Data
{
"id": "5e7be42f842b9fc1a5bc993f8a346157aeab29e91112f7e0c4356fd22ea382d7",
"blockId": "c66942f7b247ab54df4123c8eb8da9901c5775560597de7013705ad183ce9093",
"inclusionHeight": 1412826,
"timestamp": 1733677710444,
"index": 3,
"globalIndex": 8214896,
"numConfirmations": 355434,
"inputs": [
{
"boxId": "5a0eb38d808a78a6dd5dfba62c59c79a99cf4fe7b9736d1135c907d0620ec899",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "e538c4beab4414468625f1622fedeeb09b103a8fe0e2d52cedab0fbe979d8e1c",
"outputTransactionId": "15d4ca7bc98ffd913640536163ef6d7a3e2d4373da57582d88a617b3cc50d01a",
"outputIndex": 1,
"outputGlobalIndex": 44610095,
"outputCreatedAt": 1412811,
"outputSettledAt": 1412813,
"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": "0e20859361f32988850b1a563d51c975e982269d38ea3b45955abf88542e17621a5f",
"sigmaType": "Coll[SByte]",
"renderedValue": "859361f32988850b1a563d51c975e982269d38ea3b45955abf88542e17621a5f"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20447dffe9a7a8bcd8eb8d2d637aa344adb932fdc6943773f56c26160c898a0954",
"sigmaType": "Coll[SByte]",
"renderedValue": "447dffe9a7a8bcd8eb8d2d637aa344adb932fdc6943773f56c26160c898a0954"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "d212d21c07eba2e0498fb1eeecbbc74fe7935ba21172fbdf22406573f3d365a1",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e538c4beab4414468625f1622fedeeb09b103a8fe0e2d52cedab0fbe979d8e1c",
"outputTransactionId": "33b8bb765a7691c16c493f083df6cefe5ab295201a108d127d2634fc5a709d4e",
"outputIndex": 1,
"outputGlobalIndex": 44610100,
"outputCreatedAt": 1412811,
"outputSettledAt": 1412813,
"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": "0e2078f63cb56ec959db3088815e4a2f7fa171cd4f3e38810770a74fcf1d725962f0",
"sigmaType": "Coll[SByte]",
"renderedValue": "78f63cb56ec959db3088815e4a2f7fa171cd4f3e38810770a74fcf1d725962f0"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20a4ced9d85c5e1b3844450248c2d8cab14cd9af6f68f7a6c4a55a2a1ed2800656",
"sigmaType": "Coll[SByte]",
"renderedValue": "a4ced9d85c5e1b3844450248c2d8cab14cd9af6f68f7a6c4a55a2a1ed2800656"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "5e69bb4fdca42814e84942317867d2b89ba171d26215ef1aef7d0f343acb4414",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "84c9730368de137909b1d3aff8d70b6e97686284decf9cd88fd8a81d33ffc32e",
"outputTransactionId": "b8f58895c1d321d151f321a6604b125f698fe4d1bd0ee0eda7d97439c9a9ed7f",
"outputIndex": 1,
"outputGlobalIndex": 44610189,
"outputCreatedAt": 1412812,
"outputSettledAt": 1412814,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e2066b7912c268bbdb55bd707c097025b076d78a48d858bf38d6bb82109aedd178e",
"sigmaType": "Coll[SByte]",
"renderedValue": "66b7912c268bbdb55bd707c097025b076d78a48d858bf38d6bb82109aedd178e"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "be0c2889742dc8848678b6562896a887b40a331dcb70427072d87bb0dda530af",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "28b8a7f89561a685e1df2a83a5d1e4018a89c36852145ed8f8d890d65d37b4ce",
"outputTransactionId": "730eb73ea8838d5d597cf5071a8f7ab5415c5b06ad48db369c1756c3e1971545",
"outputIndex": 1,
"outputGlobalIndex": 44610457,
"outputCreatedAt": 1412818,
"outputSettledAt": 1412820,
"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": "0e2051c49be545b1a83ac47316b0142e46ecd1363c392e2521feff44c2a7c5d3f4d4",
"sigmaType": "Coll[SByte]",
"renderedValue": "51c49be545b1a83ac47316b0142e46ecd1363c392e2521feff44c2a7c5d3f4d4"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20a8886bec9158428c7cafdfa63b47c6983de5ef9cbbee06b451031ad696df7f09",
"sigmaType": "Coll[SByte]",
"renderedValue": "a8886bec9158428c7cafdfa63b47c6983de5ef9cbbee06b451031ad696df7f09"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "1d85fb6780b514ff08e9becc91bc41633c54447367abdbc3e30db3bf14304c9d",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "28b8a7f89561a685e1df2a83a5d1e4018a89c36852145ed8f8d890d65d37b4ce",
"outputTransactionId": "20159ad541be033635bbebad7510fcc4a1144b420a68958e12efed007a7efe7b",
"outputIndex": 1,
"outputGlobalIndex": 44610470,
"outputCreatedAt": 1412818,
"outputSettledAt": 1412820,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20cc3acace9d9c18c34cc2f8b61d47f4f4fe717b3f90e9e9f00278b1c1125a260e",
"sigmaType": "Coll[SByte]",
"renderedValue": "cc3acace9d9c18c34cc2f8b61d47f4f4fe717b3f90e9e9f00278b1c1125a260e"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "cde918b189cbab0f872f2779326098f755ba63b25c6db95f0168e2d38382e25e",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "28b8a7f89561a685e1df2a83a5d1e4018a89c36852145ed8f8d890d65d37b4ce",
"outputTransactionId": "2643c02aa808a84f0e531def3fed2cae7fe0498e44ab6bf27ae8c82c739b9f95",
"outputIndex": 1,
"outputGlobalIndex": 44610475,
"outputCreatedAt": 1412818,
"outputSettledAt": 1412820,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20655cdf907a3babb0e73bb663533235cfd18b3b281c32c6739d5e43ab26d68649",
"sigmaType": "Coll[SByte]",
"renderedValue": "655cdf907a3babb0e73bb663533235cfd18b3b281c32c6739d5e43ab26d68649"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "edd4f1092626d9d4725be18d5e132433c44c2542889116c1993843e8c694b036",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "28b8a7f89561a685e1df2a83a5d1e4018a89c36852145ed8f8d890d65d37b4ce",
"outputTransactionId": "7be1a6377c8d7d2ebb155803d8c4c08e412ad9767f9eadb303393660ec183310",
"outputIndex": 1,
"outputGlobalIndex": 44610480,
"outputCreatedAt": 1412818,
"outputSettledAt": 1412820,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e2032e38fb444189dfe4346621f0bc0e5ab8677ceee3b58566836092fc02d7c22b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "32e38fb444189dfe4346621f0bc0e5ab8677ceee3b58566836092fc02d7c22b7"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "e59f66188734ddf2713cb3898f7ee8637f221b80c4de2af75a0dcf6e87b5ba94",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "28b8a7f89561a685e1df2a83a5d1e4018a89c36852145ed8f8d890d65d37b4ce",
"outputTransactionId": "9c751fe46506d2ea84e4492da188b5a10364b749ccc4eb51ca635e0d56cb2efe",
"outputIndex": 1,
"outputGlobalIndex": 44610485,
"outputCreatedAt": 1412818,
"outputSettledAt": 1412820,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20b76708dd30d3fe5dbe111aa6ff923b7bf2d000ecaa392213eefe3b8a6d27ab4d",
"sigmaType": "Coll[SByte]",
"renderedValue": "b76708dd30d3fe5dbe111aa6ff923b7bf2d000ecaa392213eefe3b8a6d27ab4d"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "1a15157a3605a07c5067ea26a090317f1e0c9c77c0141be039ac92ed34805f77",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "28b8a7f89561a685e1df2a83a5d1e4018a89c36852145ed8f8d890d65d37b4ce",
"outputTransactionId": "e6e3dc8333d649baad493250c0d2e30079b26b54fdaaa24f7e703a177fe8b8ad",
"outputIndex": 1,
"outputGlobalIndex": 44610490,
"outputCreatedAt": 1412818,
"outputSettledAt": 1412820,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20bfc9330c09dc6bfe2c03500616c429470ad4dfe2852f23c779e16d2500130a39",
"sigmaType": "Coll[SByte]",
"renderedValue": "bfc9330c09dc6bfe2c03500616c429470ad4dfe2852f23c779e16d2500130a39"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "309e461af66386d56804610b1f87ebb860eb44e175cf5c682a5c616ff1ea7407",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "b5f0ce638e8806fb2e6bf021f486e9874a6126c91330f0702027710f748715cd",
"outputTransactionId": "d46a7c1bea1846c3811a4b4af9ccf13d72ffd73f219981ce0678e2930fb15030",
"outputIndex": 1,
"outputGlobalIndex": 44610609,
"outputCreatedAt": 1412818,
"outputSettledAt": 1412821,
"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": "0e20d0aa749b331fa28ec70d349178c85b67825317502db5a0dc23ac2226cc334ac5",
"sigmaType": "Coll[SByte]",
"renderedValue": "d0aa749b331fa28ec70d349178c85b67825317502db5a0dc23ac2226cc334ac5"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e207ab5168220ff4e53bf3742e564c0e609d86cb4571de988e1d1293deeab4211d9",
"sigmaType": "Coll[SByte]",
"renderedValue": "7ab5168220ff4e53bf3742e564c0e609d86cb4571de988e1d1293deeab4211d9"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "19b95da2fd2d0809ad8ae356ef93645f6d86c662320b166c50cb2059e574e1d8",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "1a9f86261f95ee099c2cacd6a5724bfee40cbe35ec07d7e9eae17ef310ccbb1a",
"outputIndex": 1,
"outputGlobalIndex": 44610762,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e202c6dd9f1d60c3d726315ef4e49426d6f54bad1201ff1d7037e670da2e7d6243b",
"sigmaType": "Coll[SByte]",
"renderedValue": "2c6dd9f1d60c3d726315ef4e49426d6f54bad1201ff1d7037e670da2e7d6243b"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20c255faece01911ce565e56c11b3a3240d3d4427a7f1c7d1b347f46cd4b7b106c",
"sigmaType": "Coll[SByte]",
"renderedValue": "c255faece01911ce565e56c11b3a3240d3d4427a7f1c7d1b347f46cd4b7b106c"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "9710af3c2fd05224570b73c57175e1a851487408e9726d0428b88cb0fccfdc3d",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "01955f7888baef91f1b86afcbb3438b05527b51c348f818992832a3ea1c9fddd",
"outputIndex": 1,
"outputGlobalIndex": 44610767,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e207f8b151269a49beb06829193eb7d9cb2d8bb732300242b6d2ff49f718c9f719a",
"sigmaType": "Coll[SByte]",
"renderedValue": "7f8b151269a49beb06829193eb7d9cb2d8bb732300242b6d2ff49f718c9f719a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "03c008cdeaa6c944e7658571228fc799fa921d65ea90c6dcc313f0f924afc498",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "253146c2a1ec67a5574133ee98431605eb2648cb2b6f34ae0fb7b8fe67d8f10d",
"outputIndex": 1,
"outputGlobalIndex": 44610772,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e206a98f63146359769808eaca1e41b6ca34c776d9790ea1f523262b7a47f6f7b72",
"sigmaType": "Coll[SByte]",
"renderedValue": "6a98f63146359769808eaca1e41b6ca34c776d9790ea1f523262b7a47f6f7b72"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e206031056e6469e99c3594b0794883fdda313ff05acab3f63dcebed5c291680ec2",
"sigmaType": "Coll[SByte]",
"renderedValue": "6031056e6469e99c3594b0794883fdda313ff05acab3f63dcebed5c291680ec2"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "e7e52f48b842b13eb958345fdc3eff0c0a63e5053bb4eb20363ace1c863b6b67",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "260437645fde7cfb30f42c3b525cd700df92685362cb4f49da260c69dcaf80ee",
"outputIndex": 1,
"outputGlobalIndex": 44610777,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e2086ff549121f117c94834dcea65fbe15bf0c1b792b3d787ae8d50e00321f2fc23",
"sigmaType": "Coll[SByte]",
"renderedValue": "86ff549121f117c94834dcea65fbe15bf0c1b792b3d787ae8d50e00321f2fc23"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "542b6c307e570f974b5f93b960adacc481a34260573e181ae8832d5e6f5b1cb7",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "44051d6fb01c7411f32d440c344273f710705713e7a84fed2420d490e5ec826d",
"outputIndex": 1,
"outputGlobalIndex": 44610782,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20813776fdc861ec3ab84506c0739867f4760d4b2748c7d7e917f55cd876232262",
"sigmaType": "Coll[SByte]",
"renderedValue": "813776fdc861ec3ab84506c0739867f4760d4b2748c7d7e917f55cd876232262"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20c51b8daecfea692d9cb2c7b3e23c83b40ee0ad40b54ea7c4e8ebd85e148377b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "c51b8daecfea692d9cb2c7b3e23c83b40ee0ad40b54ea7c4e8ebd85e148377b4"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "c0fb2b676d904a9949a1465314606c3062291f07554fd3ff168deba30b1cf789",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "5e76d5b1181ac2b54181287bf904d8c697d6e606f4fac79c0770d45f8cde4198",
"outputIndex": 1,
"outputGlobalIndex": 44610787,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20d74672bbbc34ecef107a443944f955968306f6dcb5f89c3b5bdc2cd37d0651a4",
"sigmaType": "Coll[SByte]",
"renderedValue": "d74672bbbc34ecef107a443944f955968306f6dcb5f89c3b5bdc2cd37d0651a4"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "310056931c5750c3ae885bf481ed77c975bfb3f1131c85be4aafc6e86b4ab8b8",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "6991b438b947f183b00b8f41dd47565487a067c252aa3070b8c3c11fe4edb794",
"outputIndex": 1,
"outputGlobalIndex": 44610792,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20fab1e9bb8c5009ec94aac1fcc5736723dce487c7966fdbe3095ae84b464aa6dd",
"sigmaType": "Coll[SByte]",
"renderedValue": "fab1e9bb8c5009ec94aac1fcc5736723dce487c7966fdbe3095ae84b464aa6dd"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e200bf52eb8e6db9f33d991e0260e8f86d8a4140df5fbdd61fcc9f2a16be4cfd1cf",
"sigmaType": "Coll[SByte]",
"renderedValue": "0bf52eb8e6db9f33d991e0260e8f86d8a4140df5fbdd61fcc9f2a16be4cfd1cf"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "b7190f2838c6596d5d77019d5b5b0731b7cbb2cb57c25932ebd86070f3a763ff",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "7724ee0e5a4700b55a23048192f9f5bcf5474b131378bd50268ac0fe9ae5d0df",
"outputIndex": 1,
"outputGlobalIndex": 44610797,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20dbc3c9c9d0055514b33be94d0baa712cfbbd4d539f0559d7e644b92e70db40db",
"sigmaType": "Coll[SByte]",
"renderedValue": "dbc3c9c9d0055514b33be94d0baa712cfbbd4d539f0559d7e644b92e70db40db"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e2046118dad95650a06cba985713104c81c1f8730bc09ed5ccd37192c2ee9ef5725",
"sigmaType": "Coll[SByte]",
"renderedValue": "46118dad95650a06cba985713104c81c1f8730bc09ed5ccd37192c2ee9ef5725"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "f27466cab793918ffd4131e4647c8876b08d411db5879ede06345176165fd04a",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "8ea9b1bd0ab02759d9cd4fc315940d4f400afdef3025f5d9f55cac135364b9fb",
"outputIndex": 1,
"outputGlobalIndex": 44610802,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e202ad61fa61086b1a328b85965b222792a781a8d91aa03739d74b09b358072c748",
"sigmaType": "Coll[SByte]",
"renderedValue": "2ad61fa61086b1a328b85965b222792a781a8d91aa03739d74b09b358072c748"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "bad4ce27e96af2ee3097dc2a860b020238da94b1f7e7f596887f25c8b433c167",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "976ef84221813023e811fb08e552a5eb2c63cb08004f76113863ead967e2a7c5",
"outputIndex": 1,
"outputGlobalIndex": 44610807,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20952afd41e3512d6e11ce5b647285aafc120ac3cffe697cc578b59846ee7606a4",
"sigmaType": "Coll[SByte]",
"renderedValue": "952afd41e3512d6e11ce5b647285aafc120ac3cffe697cc578b59846ee7606a4"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20ab96e8b33bffad689eefbcbc22cabc92a6e2b99077fa608984098d934372c8e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "ab96e8b33bffad689eefbcbc22cabc92a6e2b99077fa608984098d934372c8e6"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "77f1c2c591a6611648e698c75aa281515f09730362d8cbf951e85535ba5c1f94",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "9fc8d0c7feb2bd8df4ff0ec3659fffa70133ce7d240a9956c215c1764bbcff8d",
"outputIndex": 1,
"outputGlobalIndex": 44610812,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e201ddc99601073b58e099ee8b99c53c961e5002458f074af83b5fd3ee50da68936",
"sigmaType": "Coll[SByte]",
"renderedValue": "1ddc99601073b58e099ee8b99c53c961e5002458f074af83b5fd3ee50da68936"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e2054181e64352464219b0ce0ed4868577ae4def78f7dc8c1ea979acd6d3e63e728",
"sigmaType": "Coll[SByte]",
"renderedValue": "54181e64352464219b0ce0ed4868577ae4def78f7dc8c1ea979acd6d3e63e728"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "58d89f4a80365fc1d1978486360386d415005fea97906760335af09473fe3e53",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "acd06bc31d639ce8f8dceb7db5f5e5acc686bb387f63658eee48ecd3afd055fc",
"outputIndex": 1,
"outputGlobalIndex": 44610817,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20920913a9601f02ee401a011408154beb95ae024c240a0af174bad554ea287c2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "920913a9601f02ee401a011408154beb95ae024c240a0af174bad554ea287c2a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "acb3c07fe1bcd65f47446d1ebcd293db6ac864eded741a66c3b277e5dbb08bd6",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "cf4f3008db533fa487858a5ddcdebdf2261f617a02b4c5651e61c46d28de8e52",
"outputIndex": 1,
"outputGlobalIndex": 44610822,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20c385e2314e8d19de5ddf1319173faca3c63808c59a6e766712035be2d8c09da6",
"sigmaType": "Coll[SByte]",
"renderedValue": "c385e2314e8d19de5ddf1319173faca3c63808c59a6e766712035be2d8c09da6"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "be1801f764230b20b94362219606e01e1643ce122534d2dbf925c080da93e73f",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "ba4b53d00eccba57c4c0c86b0d9c5b52c338fdf2767d822aeda3e67c5c551791",
"outputIndex": 1,
"outputGlobalIndex": 44610827,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20e775970a41489315b681816b78ed51c017bddc8d7f928d4e55f1df8612552172",
"sigmaType": "Coll[SByte]",
"renderedValue": "e775970a41489315b681816b78ed51c017bddc8d7f928d4e55f1df8612552172"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "aab82d9b2c5c0beb355e620f89bbd1f650ce6d2ebaafb8a2907b61343744f46a",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "e7bb62bfa9daa14cc345e73ea94ee24d96d67810ea3822d60d297afd0812d4a0",
"outputIndex": 1,
"outputGlobalIndex": 44610832,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e202f9ab8d3969a5a362b536e99dcde7b76219403a653ffc7a8d6758b2fb447eec7",
"sigmaType": "Coll[SByte]",
"renderedValue": "2f9ab8d3969a5a362b536e99dcde7b76219403a653ffc7a8d6758b2fb447eec7"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20637a660fec73e608f88d16930a78fd0270de427d3c39d4bd6f2cb80736c86fd4",
"sigmaType": "Coll[SByte]",
"renderedValue": "637a660fec73e608f88d16930a78fd0270de427d3c39d4bd6f2cb80736c86fd4"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "c56c1b31d62646915a02fe97c9afa9b2011a3db2f3287129a8ff3ee173485af5",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "04be07557b32f1747ba96cdd65c3c3d81dcae589394cdaffaf9822815442b2b8",
"outputIndex": 1,
"outputGlobalIndex": 44610837,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e206771ab39547e54e106525fa62a443ef297c6b52b407546a265f5bcc6db80d379",
"sigmaType": "Coll[SByte]",
"renderedValue": "6771ab39547e54e106525fa62a443ef297c6b52b407546a265f5bcc6db80d379"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "e1121b211d442002950e0eacd37714fcff8f4aa9c46c11affe21d6a93fe089c1",
"value": 2000000,
"index": 26,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "079de5541b9eee08521da43f10cfea0ed61491d4989f9c753989148284d7827e",
"outputIndex": 1,
"outputGlobalIndex": 44610842,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e203e9eb6cde550a8d9348a4e77bfdfe80a0f8007ec330d80f31777032831d915b5",
"sigmaType": "Coll[SByte]",
"renderedValue": "3e9eb6cde550a8d9348a4e77bfdfe80a0f8007ec330d80f31777032831d915b5"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "b628522695836c99e62456437977f0ce5489ae4b2f984c1a2c9325360ae2aa6c",
"value": 2000000,
"index": 27,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "07d0cb785923a95750efc5dad2f5afb116a1fc95ed62e217b2bd4a9b2345fa03",
"outputIndex": 1,
"outputGlobalIndex": 44610847,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20d3ea6b02c843238314df5456fdc8dfb63ff9f83cb524df92341875e1f8310b0c",
"sigmaType": "Coll[SByte]",
"renderedValue": "d3ea6b02c843238314df5456fdc8dfb63ff9f83cb524df92341875e1f8310b0c"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e2056e92110c5517d145e57dd3de94783815cef49356e3fd295bc9a095622c17827",
"sigmaType": "Coll[SByte]",
"renderedValue": "56e92110c5517d145e57dd3de94783815cef49356e3fd295bc9a095622c17827"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "7eca3090ab57e36f3c393077f2ce8efda1acc37c953a8b128033e018f00cb84a",
"value": 2000000,
"index": 28,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "0f02a8c8feab6c9d3e6c7af008871abfa3ca8108d73177198e09e314e512e51e",
"outputIndex": 1,
"outputGlobalIndex": 44610852,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2024561a79bddd066a10f354bb8579ce2b0f0b97d1d3088205cf9f3cefe9bd069f",
"sigmaType": "Coll[SByte]",
"renderedValue": "24561a79bddd066a10f354bb8579ce2b0f0b97d1d3088205cf9f3cefe9bd069f"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20067f284ebd36c658bd6d22c3bdd5ff3e251ea8a1d64405e9c2dada8a0e254e54",
"sigmaType": "Coll[SByte]",
"renderedValue": "067f284ebd36c658bd6d22c3bdd5ff3e251ea8a1d64405e9c2dada8a0e254e54"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "35bb502c98ee9dc69087aa42d1b1a250bb6492a65341a3dfed4095f8a8eadf6d",
"value": 2000000,
"index": 29,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "1a7ab66f02dcffa70c76c38a975747de833b2076b4c41aba8a7171126fbb5787",
"outputIndex": 1,
"outputGlobalIndex": 44610857,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20668d14cc2ddd6cde17e33b7305b9ca2ad2d1901b7bb8ca3797911dc5aa9e44f1",
"sigmaType": "Coll[SByte]",
"renderedValue": "668d14cc2ddd6cde17e33b7305b9ca2ad2d1901b7bb8ca3797911dc5aa9e44f1"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20b9f86a01ccb58c27f1567828fd92a7be443af98f02506bdd75bdaccfb144e5e5",
"sigmaType": "Coll[SByte]",
"renderedValue": "b9f86a01ccb58c27f1567828fd92a7be443af98f02506bdd75bdaccfb144e5e5"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "95ecdf05c42a6689379188de1be8ae71f897f1ceea6ba210166981c4e3acc217",
"value": 2000000,
"index": 30,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "26b94245f2f6b473d408c6d589d9c86dae97a6abe7bca78e369200bab627852b",
"outputIndex": 1,
"outputGlobalIndex": 44610862,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20b97e0b376b0fc040280d09fcb01a2df3197adca29169647b16e41fc032932ea8",
"sigmaType": "Coll[SByte]",
"renderedValue": "b97e0b376b0fc040280d09fcb01a2df3197adca29169647b16e41fc032932ea8"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e200f690d0eeeb1420d1aeee811625e0787959f430f4c3629a9d77b4e5558d76818",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f690d0eeeb1420d1aeee811625e0787959f430f4c3629a9d77b4e5558d76818"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "8975692c6dbb64486bd8eefb2648bdaf72ceed3bb000a918439ff966d1e3df52",
"value": 2000000,
"index": 31,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "2c06bbb17e12bc158747998b52046306d5eec178c22522f984fba65151e74f8b",
"outputIndex": 1,
"outputGlobalIndex": 44610867,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20df4677efdebb549a30bab0ab33da5f41340b183578f7ea7e39b61e1ce75d04e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "df4677efdebb549a30bab0ab33da5f41340b183578f7ea7e39b61e1ce75d04e4"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20325dd47d039202395c6bc688faebfeb4d3243f4f006ed564c35a4eb31ddc8e04",
"sigmaType": "Coll[SByte]",
"renderedValue": "325dd47d039202395c6bc688faebfeb4d3243f4f006ed564c35a4eb31ddc8e04"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "8ab19e9cf09e91d2e187c20b43002edafb7450c8ac09091963ffe57ee73c4b08",
"value": 2000000,
"index": 32,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "2f804db62832d090c49939b6dc6ff0dd3cafbf003ad427744bd3bedb5fd93b75",
"outputIndex": 1,
"outputGlobalIndex": 44610872,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20c58ac995a8b44aaa2ee940f595b69844d66b83df7b36ad8deab5a84b48c76159",
"sigmaType": "Coll[SByte]",
"renderedValue": "c58ac995a8b44aaa2ee940f595b69844d66b83df7b36ad8deab5a84b48c76159"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e209c5a4d54f11ec1b62fc2b4d0ee33b678e5b5530cf09b18918ffdc1e4cfb09707",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c5a4d54f11ec1b62fc2b4d0ee33b678e5b5530cf09b18918ffdc1e4cfb09707"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "1eab25e306295b1bca4d9f2d490ad00e76e7f0c3a2eb49c672e8d8ba61ee59a6",
"value": 2000000,
"index": 33,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "3345ce387ae5bfce42189b55d7b536f7e639460e5e0ca1d09053bb635699e08c",
"outputIndex": 1,
"outputGlobalIndex": 44610877,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e203c559865b3418fd15f781e4cea8cc4a3a74e38a510ea38614ab089281f4105b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "3c559865b3418fd15f781e4cea8cc4a3a74e38a510ea38614ab089281f4105b7"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "5195d042fe05a7258757182434159168f1be42eabe0361baf9f87aa495004229",
"value": 2000000,
"index": 34,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "468a691f3d258befd9cc65c720e034b18f34fb77041cd3943976f37526cd7146",
"outputIndex": 1,
"outputGlobalIndex": 44610882,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20e50485c4620034f0a8546742918f93faf273d719c4bb3bbdc606a3d437e6d7c8",
"sigmaType": "Coll[SByte]",
"renderedValue": "e50485c4620034f0a8546742918f93faf273d719c4bb3bbdc606a3d437e6d7c8"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "97a2bce5d495799d2b84544273325c0af3d231c16badc1a1fe2f997a88ed4439",
"value": 2000000,
"index": 35,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "486d120a5598852a8cc6aa701318496ae14ba6570a2fcedb91af26faa26caba6",
"outputIndex": 1,
"outputGlobalIndex": 44610887,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20ad1beb2e9e92c768d5a50814085861a2fd2c4179ce060a2cd62d4f027a97493f",
"sigmaType": "Coll[SByte]",
"renderedValue": "ad1beb2e9e92c768d5a50814085861a2fd2c4179ce060a2cd62d4f027a97493f"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "715b7c7c7ee70b6c0310042340f451de9b2e56a002929903381cb37abc72ec4d",
"value": 2000000,
"index": 36,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "5164fea1fdbe03e0c3ff6d475518114978aa84ba0e447c14497b86b4fc535f58",
"outputIndex": 1,
"outputGlobalIndex": 44610892,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20745badfc535a5f16c4c297ad76b925c310e57cb9126e00d8dc09b82d063ad9bb",
"sigmaType": "Coll[SByte]",
"renderedValue": "745badfc535a5f16c4c297ad76b925c310e57cb9126e00d8dc09b82d063ad9bb"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20013a366a88bbdb1573ea43e09d890e5bc49af33ecbe84671f147dc46d98e6239",
"sigmaType": "Coll[SByte]",
"renderedValue": "013a366a88bbdb1573ea43e09d890e5bc49af33ecbe84671f147dc46d98e6239"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "e1aaf984702230bff2a5c08ee87e314c673b2b9b58adeeb8e534ca087fa6661c",
"value": 2000000,
"index": 37,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "5300d357de153aefff96f0d77f1ef72678516fedef7eebc9f43c3c1a9c9b2331",
"outputIndex": 1,
"outputGlobalIndex": 44610897,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2058091a84ca567458d1867eb0f6da796eb5e660bc9475b6f3c8c219f5393de18e",
"sigmaType": "Coll[SByte]",
"renderedValue": "58091a84ca567458d1867eb0f6da796eb5e660bc9475b6f3c8c219f5393de18e"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e2053b3fc45e079568372be376b18223cd72639d7bf62d4383138b4e2fcbf308182",
"sigmaType": "Coll[SByte]",
"renderedValue": "53b3fc45e079568372be376b18223cd72639d7bf62d4383138b4e2fcbf308182"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "e60fb2f729ae4a8d219ab6bfe330c09b6aa75dd889777922052917d2323d2c3d",
"value": 2000000,
"index": 38,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "86d95fc5b257d5891584f147efb8153d71c967d4435b2f6bc07143a0e6d1431f",
"outputIndex": 1,
"outputGlobalIndex": 44610902,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e200a07463bb0fae203cb86e2d883d7234286ceb86674d778469dd9ba1b966ad2c0",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a07463bb0fae203cb86e2d883d7234286ceb86674d778469dd9ba1b966ad2c0"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20ab44f6c5c6217174199d1d71c341d4266843f2f68d599e6e16ec293d6b6d9392",
"sigmaType": "Coll[SByte]",
"renderedValue": "ab44f6c5c6217174199d1d71c341d4266843f2f68d599e6e16ec293d6b6d9392"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "ce2255c2c9f550aea1a964bbb9b0f196a0b1a406a78df1fb150e90d81a67aad0",
"value": 2000000,
"index": 39,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "886273986dbb529df09dfa630f766b415a79b5958a3c402ac7786464cf8eb755",
"outputIndex": 1,
"outputGlobalIndex": 44610907,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e200c941df9f5037424d51d26ba6922a7b5ef25f89d43fbd686482024c1041c3b71",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c941df9f5037424d51d26ba6922a7b5ef25f89d43fbd686482024c1041c3b71"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20cf42b005e0dc216dd51687eabfd8ce9f3338fb0d5e2b751185da1b84f0752dcd",
"sigmaType": "Coll[SByte]",
"renderedValue": "cf42b005e0dc216dd51687eabfd8ce9f3338fb0d5e2b751185da1b84f0752dcd"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "f29d1837614b566fe432bc78b8b9eacee3a3b8a0813a5100f9cf6e0844f3b3f0",
"value": 2000000,
"index": 40,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "8a04302de24bdfda7a11ccbeb05cc0d06b353f9acaff246554850312b6b03342",
"outputIndex": 1,
"outputGlobalIndex": 44610912,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20858364154eabe6054583c080acf9cd61a962a4f29e7fd33fa21bf20cf7de6012",
"sigmaType": "Coll[SByte]",
"renderedValue": "858364154eabe6054583c080acf9cd61a962a4f29e7fd33fa21bf20cf7de6012"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e200f5986368db25d9e0fe9a52b64f063efa4edd6bd6515eae9e41c8dfbb4e6632d",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f5986368db25d9e0fe9a52b64f063efa4edd6bd6515eae9e41c8dfbb4e6632d"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "4ee84101872e3f3fcf5a6d3cf1c3ea63b3d16841e33c9335a3ea8b83f4bf99bc",
"value": 2000000,
"index": 41,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "8b3c0fd3481786c643cbcc8c05844057368f5a712a2aab2bf85b5e71dc4d09ae",
"outputIndex": 1,
"outputGlobalIndex": 44610917,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20f837bba860df744697092d9d503f903c8455aebda414f6d32d86b09ffc148d69",
"sigmaType": "Coll[SByte]",
"renderedValue": "f837bba860df744697092d9d503f903c8455aebda414f6d32d86b09ffc148d69"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20302f00418950572a62cf45e33c1c195d3b69ddc3a474d44f22dc66b353c4d6bf",
"sigmaType": "Coll[SByte]",
"renderedValue": "302f00418950572a62cf45e33c1c195d3b69ddc3a474d44f22dc66b353c4d6bf"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "f62592714c2598469fb1254e55591807bd52216874cadc03c25bbca333cf1a4c",
"value": 2000000,
"index": 42,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "9d77a0de066c075c47c90fb1b3fbea875695d11f80c26f4e9acd58156c84798f",
"outputIndex": 1,
"outputGlobalIndex": 44610922,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2014a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d",
"sigmaType": "Coll[SByte]",
"renderedValue": "14a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20bceb706d22a28d9716359ba1b326f43a973dd679e3c9e36788a4b75e304240fa",
"sigmaType": "Coll[SByte]",
"renderedValue": "bceb706d22a28d9716359ba1b326f43a973dd679e3c9e36788a4b75e304240fa"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "b929389ad3605de0964982228fda011a07e34b8d26bfb405f6ac3a7032c343b4",
"value": 2000000,
"index": 43,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "a19162ce53765038f1747f3f3a3f307170a7c788c22745a3ca80039724bca4dc",
"outputIndex": 1,
"outputGlobalIndex": 44610927,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20331de059e9cb443c691e5229f84bdf1866c2b81d23d4ff75206ff83f80e6eb53",
"sigmaType": "Coll[SByte]",
"renderedValue": "331de059e9cb443c691e5229f84bdf1866c2b81d23d4ff75206ff83f80e6eb53"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20da99b25a1694f01f6c6b6d28a4d3f114a1fff84c0efb4f276a7c2c407bcbe29a",
"sigmaType": "Coll[SByte]",
"renderedValue": "da99b25a1694f01f6c6b6d28a4d3f114a1fff84c0efb4f276a7c2c407bcbe29a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "8505e763fda0ac9a25a1278cada4e7b559b4675e3617c75f9653056fb2e289e5",
"value": 2000000,
"index": 44,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "b0629a530b508f441307b21519bda6ee580e58416a710aa6c6183bb41c0de4ba",
"outputIndex": 1,
"outputGlobalIndex": 44610932,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e2039b45b9590478ff88b39a324809518ce94988e095525b0ccdd1ba54373e7acda",
"sigmaType": "Coll[SByte]",
"renderedValue": "39b45b9590478ff88b39a324809518ce94988e095525b0ccdd1ba54373e7acda"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "cec213b5cb6848ac7da1e2f43dc07bbe9ca3912e552e35113c60ce2b94f14123",
"value": 2000000,
"index": 45,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "b65fd33208513cb388a573186ebab8320897ecd3d4de5fa2210b823572e60def",
"outputIndex": 1,
"outputGlobalIndex": 44610937,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e207bc47d6130328253250d90408dc22f3ad88671688b988aff92def2d9a72d405e",
"sigmaType": "Coll[SByte]",
"renderedValue": "7bc47d6130328253250d90408dc22f3ad88671688b988aff92def2d9a72d405e"
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"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e204ad4d1f2ee9d9e5f83e8e600542d09863ee4a498248626133cb800a341bce252",
"sigmaType": "Coll[SByte]",
"renderedValue": "4ad4d1f2ee9d9e5f83e8e600542d09863ee4a498248626133cb800a341bce252"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "b7eb670d9a0918154ca9a7436a3b0cfa0cfcab308fdcbc24f5276844d38ba416",
"value": 2000000,
"index": 46,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "bd2ad0614a54b8458ca0a1af1703c703019d8074bac650238125f2c34a3f619c",
"outputIndex": 1,
"outputGlobalIndex": 44610942,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e203a81010e909b67deff3852d9a5a5d9335937c1c56742b4fe35fd45cfc65d8b1a",
"sigmaType": "Coll[SByte]",
"renderedValue": "3a81010e909b67deff3852d9a5a5d9335937c1c56742b4fe35fd45cfc65d8b1a"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e208d9cf09040eb8948c6501b279e25d124032323683e17189e2f645308ff90f57a",
"sigmaType": "Coll[SByte]",
"renderedValue": "8d9cf09040eb8948c6501b279e25d124032323683e17189e2f645308ff90f57a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "64a42e01e72a9cf108e6d51b44d832db4c708bee5c43ec329acb79ae8cf6648c",
"value": 2000000,
"index": 47,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "bff7916235dc2d36b41bbf0f9ce48c7d5480fde561109e8004a5fa93f6c83a2d",
"outputIndex": 1,
"outputGlobalIndex": 44610947,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20b6f24f92129c8523aae0fde768544657a13a368e921bacdb7b73311bd1321d73",
"sigmaType": "Coll[SByte]",
"renderedValue": "b6f24f92129c8523aae0fde768544657a13a368e921bacdb7b73311bd1321d73"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20e131fdb9e1a405b81bb0191f9085892c81265086d34b73f5d10cd3dc9e2f9127",
"sigmaType": "Coll[SByte]",
"renderedValue": "e131fdb9e1a405b81bb0191f9085892c81265086d34b73f5d10cd3dc9e2f9127"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "732d00803372fce0795af4cddc82db1d44f71eb1da24a37e4c930150e004ad0f",
"value": 2000000,
"index": 48,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "c09ba265a9a258baba7e6cf4a11e5cbab5fe145c4ac26cf6db25e1939269be72",
"outputIndex": 1,
"outputGlobalIndex": 44610952,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e200d9491b31d1dab5909f40011bcc9581ba8d8df1ebcb5a31077568f5c36855664",
"sigmaType": "Coll[SByte]",
"renderedValue": "0d9491b31d1dab5909f40011bcc9581ba8d8df1ebcb5a31077568f5c36855664"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20f0a86b0622f9c5a7f763207831bf6f66b7095516130aec2c9c3400a5985af992",
"sigmaType": "Coll[SByte]",
"renderedValue": "f0a86b0622f9c5a7f763207831bf6f66b7095516130aec2c9c3400a5985af992"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "cb7e59251728eb4203d85cb0e48ccedb997ffb4a366a58f08ea19a6237f62ec6",
"value": 2000000,
"index": 49,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "c851fd8510e34ff90319571181eae04d70bb5199658109a6d9657f0f5a9bfeec",
"outputIndex": 1,
"outputGlobalIndex": 44610957,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2073e5756d6e6c8cdd9c4be97070e0bf56a96dcb8cfd088cc484ef9748a6911b19",
"sigmaType": "Coll[SByte]",
"renderedValue": "73e5756d6e6c8cdd9c4be97070e0bf56a96dcb8cfd088cc484ef9748a6911b19"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20ac657fe84657872f6fa4de4d7b74125029ee69a43fa73bb9ab37338e7ea79c46",
"sigmaType": "Coll[SByte]",
"renderedValue": "ac657fe84657872f6fa4de4d7b74125029ee69a43fa73bb9ab37338e7ea79c46"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "c0fbf1d5be98738a9a65dc398222ee3cc5db37ca124b8e7a2d133e0306b2760b",
"value": 2000000,
"index": 50,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "cb3ab55d4295606dfbe8dd5004cc4f3718301d6d21c03ad6f4af0b99dbfb20ee",
"outputIndex": 1,
"outputGlobalIndex": 44610962,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2030a75690891a9cb8b81c193d1413a0eebf4fba5c4410e073ed2cb6f247154bb1",
"sigmaType": "Coll[SByte]",
"renderedValue": "30a75690891a9cb8b81c193d1413a0eebf4fba5c4410e073ed2cb6f247154bb1"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e200c30c0c42a21a885d7e939dda7e08d5466eba354b04f948f53e78f7d1e785015",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c30c0c42a21a885d7e939dda7e08d5466eba354b04f948f53e78f7d1e785015"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "1fb57dab2d95e737f369e9b323799b3fb210511f1c1205b1148aaa8d1d39793a",
"value": 2000000,
"index": 51,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "d3d45ba2495b457173041db757f48f85b74ecc511e3aaa06964d7062d333062b",
"outputIndex": 1,
"outputGlobalIndex": 44610967,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2094cb08d7d7d4fa8c7a73bdecb7d658438442366c3c6f4f7214d43c5df2a05cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "94cb08d7d7d4fa8c7a73bdecb7d658438442366c3c6f4f7214d43c5df2a05cae"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e203da605d2eb0b3ad8f844a38dda476feb29781e1f9ed4285bd1f39035927761b5",
"sigmaType": "Coll[SByte]",
"renderedValue": "3da605d2eb0b3ad8f844a38dda476feb29781e1f9ed4285bd1f39035927761b5"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "2ac5e2eacc9f3e95b13d635113dcfa7d6aa5315a406044fd28443795f2a3b10a",
"value": 2000000,
"index": 52,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "deabc1059c779ba829f8d292921012fd8e94dcab0df341ad998767cbd98992a7",
"outputIndex": 1,
"outputGlobalIndex": 44610972,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2066cf2d1589f772c8a83fac3cf1aed18cf4fa387eb74f49d74a5c6a6817c81cb3",
"sigmaType": "Coll[SByte]",
"renderedValue": "66cf2d1589f772c8a83fac3cf1aed18cf4fa387eb74f49d74a5c6a6817c81cb3"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e200c736c1d0b47342c23c73dc65241d35857171ad3fe74f6e5fc79a856f7a3da4c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c736c1d0b47342c23c73dc65241d35857171ad3fe74f6e5fc79a856f7a3da4c"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "19a80066d21d8dab659cd0e73a7f22996542b3285ac58236f8624191560aad98",
"value": 2000000,
"index": 53,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "e21231bdd7755bfb80295cff0ed8f2e6b725e3a44d4dc8f867f06cbc663b367f",
"outputIndex": 1,
"outputGlobalIndex": 44610977,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2025c03fd768ea0b1957d6c90c706b5dcaa9f2ed6646a34666482e3b9c3a4a4b6d",
"sigmaType": "Coll[SByte]",
"renderedValue": "25c03fd768ea0b1957d6c90c706b5dcaa9f2ed6646a34666482e3b9c3a4a4b6d"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20f94b1bc60a91963b9af01e548e8bac77c66361c409eedb4b3a99bd177b3562fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "f94b1bc60a91963b9af01e548e8bac77c66361c409eedb4b3a99bd177b3562fb"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "396cef8434d03fa456c6f0442949040d9dcb1ab780a6ee2d77e92bbb8247aad9",
"value": 2000000,
"index": 54,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "e2619cfcba7dad19cf1c145a3ce1e4d22a9bd355e832bad15b3077f426e358de",
"outputIndex": 1,
"outputGlobalIndex": 44610982,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20ad9a92edf54485d6478ec1fc7875861e4cfa060c1135e12884345d46a1eb446a",
"sigmaType": "Coll[SByte]",
"renderedValue": "ad9a92edf54485d6478ec1fc7875861e4cfa060c1135e12884345d46a1eb446a"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e204216e33cc44cbdf856425146bd33891664be6f9d4f812fd83418cbb8a963faed",
"sigmaType": "Coll[SByte]",
"renderedValue": "4216e33cc44cbdf856425146bd33891664be6f9d4f812fd83418cbb8a963faed"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "64564484ca96f23e4f1de0b027b679138169eafaf4daef70efbeb7a6e7e57e42",
"value": 2000000,
"index": 55,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "efdffad40c18bfdb97edf13fe085fe79fbde15b0fd70cbbc4dea89a3f80577c3",
"outputIndex": 1,
"outputGlobalIndex": 44610987,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20c8b7a0adb357b827947629276a7c87a715261d7672fb2c3d7d79da9a66bd3962",
"sigmaType": "Coll[SByte]",
"renderedValue": "c8b7a0adb357b827947629276a7c87a715261d7672fb2c3d7d79da9a66bd3962"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e20c0b11e1cc7f7b1968d36c94be253413af9877c49243f234f305a219ac2e3cb42",
"sigmaType": "Coll[SByte]",
"renderedValue": "c0b11e1cc7f7b1968d36c94be253413af9877c49243f234f305a219ac2e3cb42"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "157ff90aab41270ca666388eb9699d0bf705800f5affb80964d1db795ea5636c",
"value": 2000000,
"index": 56,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "f2ef1b0677d507e0209bcf3e41b1e1fa0b0f276286fe1546bbf0e1d07131b946",
"outputIndex": 1,
"outputGlobalIndex": 44610992,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e2077d7a54cbd2dfae5347ed07d23cb9fb4202ee849db27f0ccf775d8ffc805e1f6",
"sigmaType": "Coll[SByte]",
"renderedValue": "77d7a54cbd2dfae5347ed07d23cb9fb4202ee849db27f0ccf775d8ffc805e1f6"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "2e4c8a7e2e289365c73c43c2d374daeedb2a3cc005447c4f51a48f423e905bfb",
"value": 1010000,
"index": 57,
"spendingProof": null,
"outputBlockId": "fd398e67ca732c290dd4c6170d17f1dea9397bb10ad6b0d1fd65fc7198eabb43",
"outputTransactionId": "26cab7a7fa44a6522b5aa134bc3f739171d53b42452edd3732ca5c58570f8e40",
"outputIndex": 1,
"outputGlobalIndex": 44611029,
"outputCreatedAt": 1412821,
"outputSettledAt": 1412823,
"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": "0e20baad4116c4d4763e7760092c95b87c1a9186abe5c13b3274967886e1b2f4d49b",
"sigmaType": "Coll[SByte]",
"renderedValue": "baad4116c4d4763e7760092c95b87c1a9186abe5c13b3274967886e1b2f4d49b"
},
"R5": {
"serializedValue": "0e2091bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6",
"sigmaType": "Coll[SByte]",
"renderedValue": "91bc9ce6cf749aa2a3e31339de4ba8d3af65e4dc4d8d77c40e02f20ef67fdad6"
},
"R6": {
"serializedValue": "0e2009c9f67526674984a9a1250d404b560c7e77a694883cd07e0364cd5cc234cb68",
"sigmaType": "Coll[SByte]",
"renderedValue": "09c9f67526674984a9a1250d404b560c7e77a694883cd07e0364cd5cc234cb68"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "2f62aad9fb12cc55bb2864061890bf2190e70059b0f75cc4d92c450eb46d40aa",
"value": 7600000,
"index": 58,
"spendingProof": "b23e87dcb93c2c175131cf34194d19262b501899826b6833da576386a148e509ac3e1d6679166533d5e5a505d023f191392d5017370b5a63",
"outputBlockId": "49d515761b2619077724594f0b3a2295f0e5212576e626a09652d9517bc3ea1a",
"outputTransactionId": "e46193b202dd6c476de3ddba618887a2c34230e0cf427a666c8fbda31fcebb85",
"outputIndex": 1,
"outputGlobalIndex": 44602536,
"outputCreatedAt": 1412652,
"outputSettledAt": 1412654,
"ergoTree": "0008cd03f9c83a107c742c552ee3f589313e59a65c8207cfb0a9ee19ef28103fb9a73363",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f9c83a,6b0d0a,...)))}",
"address": "9iMp3KhUHRHEf4wQSxuN4bt3jvFytSgM31jGwLT2Cx7ju9dhNkW",
"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": "8a3f876146326b0ac07b6ce3c14fd64f9db1566c1b5fd4847f5bce037776fa50",
"value": 2000000,
"index": 1,
"outputBlockId": "aea4c7ccb971a9e72487a4a4ecd488ff97dd5e2b8abeb91d16a388abef1bc05a",
"outputTransactionId": "79269943c28970c1d4a1f2b4713c7176faeed1413dcceaa67d5df8a8b03da3d1",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0763617264616e6f",
"sigmaType": "Coll[SByte]",
"renderedValue": "63617264616e6f"
},
"R5": {
"serializedValue": "059c01",
"sigmaType": "SLong",
"renderedValue": "78"
}
}
}
],
"outputs": [
{
"boxId": "cea7ba3b9a6634f64ce6f98afed586482bcc440878e3276195a220209901b582",
"transactionId": "5e7be42f842b9fc1a5bc993f8a346157aeab29e91112f7e0c4356fd22ea382d7",
"blockId": "c66942f7b247ab54df4123c8eb8da9901c5775560597de7013705ad183ce9093",
"value": 115010000,
"index": 0,
"globalIndex": 44611203,
"creationHeight": 1412823,
"settlementHeight": 1412826,
"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": "0e204fd753a1f0a0d544cc5e6dd5cfba61ef01de29bb8257d1d07871c24e0924c949",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fd753a1f0a0d544cc5e6dd5cfba61ef01de29bb8257d1d07871c24e0924c949"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[35633161643933383235393139323738383933616366366439646565636365393032663461663837326664376436306237313961316237393139356437633161,63617264616e6f,6572676f,616464723171786364617a647138763764773064726b6866726863636b34773065376d61326d327072703832663437337a65326e7977336b37687476703272306c643834716b7a337978367836756565367837783365646b73396c337870796e71676561646465,396773314a72377963644164485a654e78423264397a5831317a424339385a4c4870357356466d7565387236477a6b64593248,0000000000913d5f,000000000005355d,0000000000003a3d,64383564343538386434363235623337303132313539376666383866336331666136366632613063623765346137613935373361336333652e3732373334333466346434353534,30636438633966343136653562316361396639383661376631306138343139316466623835393431363139653439653533633064633330656266383333323462,34626337306431323739623639343634633866353839616637343637316165393632366139626134323131393937376639663633393261616439633736346165,0000000000aacee6]"
},
"R6": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
},
"R7": {
"serializedValue": "0474",
"sigmaType": "SInt",
"renderedValue": "58"
}
},
"spentTransactionId": "ff594b8dd06e88cff6073656c8396d8b87a905e4a4066f7f363835de5eab7c27",
"mainChain": true
},
{
"boxId": "6a63cf3ef77f8bf72814a1f989bc6346bc562b04c98a47fc36814218b0b57540",
"transactionId": "5e7be42f842b9fc1a5bc993f8a346157aeab29e91112f7e0c4356fd22ea382d7",
"blockId": "c66942f7b247ab54df4123c8eb8da9901c5775560597de7013705ad183ce9093",
"value": 5550000,
"index": 1,
"globalIndex": 44611204,
"creationHeight": 1412823,
"settlementHeight": 1412826,
"ergoTree": "0008cd03f9c83a107c742c552ee3f589313e59a65c8207cfb0a9ee19ef28103fb9a73363",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f9c83a,6b0d0a,...)))}",
"address": "9iMp3KhUHRHEf4wQSxuN4bt3jvFytSgM31jGwLT2Cx7ju9dhNkW",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c191b154c7ba91077ec59589eff508ddd01269cf9fdca919e219efac8129c121",
"mainChain": true
},
{
"boxId": "7d648578675bd5334b40bc8a6c54ccb8b02426cbc4d0ed753ba70d9602427860",
"transactionId": "5e7be42f842b9fc1a5bc993f8a346157aeab29e91112f7e0c4356fd22ea382d7",
"blockId": "c66942f7b247ab54df4123c8eb8da9901c5775560597de7013705ad183ce9093",
"value": 2050000,
"index": 2,
"globalIndex": 44611205,
"creationHeight": 1412823,
"settlementHeight": 1412826,
"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": "46e7f4ce047d813ae0008574b2455eab8e26c53c5e6a32ace7447a3bc19f46f5",
"mainChain": true
}
],
"size": 3253,
"isUnconfirmed": false
}