Transaction
ID: d8505e1b9d...362f
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
16
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.02 ERG
Tokens:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
18.22
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 405,384
Total coins transferred: 0.024 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001162 ERG
Raw Transaction Data
{
"id": "d8505e1b9dbef2fcf3cc7c9d5c1ecbee4bc5cb61ad48ea9b5ca51f0955d3362f",
"blockId": "c77d07854e0537d4030e6c2250d04d73004a79b31dd1841190f2d764d9b79b3f",
"inclusionHeight": 1366051,
"timestamp": 1728021091367,
"index": 2,
"globalIndex": 7866562,
"numConfirmations": 405384,
"inputs": [
{
"boxId": "8ea71f90fdf1b135b659ac6aa5cc06c10b49a1fe015f80be890e3046a09ed26b",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d3454d5d5ab194765831083ebcfffd744b9f7aa33eb798d508af5d5a96e351de",
"outputTransactionId": "87ababcec01f013243eb99a5447f0df0ab6f4438ced07c4924392fd65105c541",
"outputIndex": 1,
"outputGlobalIndex": 43030112,
"outputCreatedAt": 1366040,
"outputSettledAt": 1366042,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-18,-17,-52,-75,-35,20,117,78,69,-12,-14,-5,-9,113,-96,42,46,-108,-127,7,-94,-19,-125,-31,64,3,92,-97,67,-124,37,-56)\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(-85,-34,109,43,81,-10,-24,-72,95,48,64,-20,-52,-77,8,117,49,-16,119,58,106,29,63,-86,-18,-16,67,-31,3,-112,-13,-21)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209171ef7b4ad4a5c2d8c7d51f8f073c1dc10cda5f9972b3c04a52f0db5e91b576",
"sigmaType": "Coll[SByte]",
"renderedValue": "9171ef7b4ad4a5c2d8c7d51f8f073c1dc10cda5f9972b3c04a52f0db5e91b576"
},
"R5": {
"serializedValue": "0e2041b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "41b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1"
},
"R6": {
"serializedValue": "0e20897349591e0489e0ffc0a0d639f87d1e3617a7622a2f6bf38ecc8a0ea881e317",
"sigmaType": "Coll[SByte]",
"renderedValue": "897349591e0489e0ffc0a0d639f87d1e3617a7622a2f6bf38ecc8a0ea881e317"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "ad6a30a4f87cfe84a2326668390b4253eaf4ab974960259787118d89082663c3",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "ce7dd3e804d99e0051060fc5e94ead2c592b7460640910faf92abe7da3908bd0",
"outputTransactionId": "027c4edc63f63d307e09f0b196a68b9c8a32669d5dda12ddb8250c83c8add957",
"outputIndex": 1,
"outputGlobalIndex": 43030120,
"outputCreatedAt": 1366041,
"outputSettledAt": 1366043,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-18,-17,-52,-75,-35,20,117,78,69,-12,-14,-5,-9,113,-96,42,46,-108,-127,7,-94,-19,-125,-31,64,3,92,-97,67,-124,37,-56)\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(-85,-34,109,43,81,-10,-24,-72,95,48,64,-20,-52,-77,8,117,49,-16,119,58,106,29,63,-86,-18,-16,67,-31,3,-112,-13,-21)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025",
"sigmaType": "Coll[SByte]",
"renderedValue": "688f2d233ae488b0172bf64b9dd1cf25112f7b9b9585260abdf0e15607d62025"
},
"R5": {
"serializedValue": "0e2041b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "41b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1"
},
"R6": {
"serializedValue": "0e207e878c9a6b92d5b1f0d208181def9205a794839103cba8a3641523b58426cd45",
"sigmaType": "Coll[SByte]",
"renderedValue": "7e878c9a6b92d5b1f0d208181def9205a794839103cba8a3641523b58426cd45"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "5ddeb8a9bf80d1bc0d8b84e3118998ce1c6a778f6ff16901a094a7e6e54578d7",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "ce7dd3e804d99e0051060fc5e94ead2c592b7460640910faf92abe7da3908bd0",
"outputTransactionId": "2c00e176807c2b15967e4ed4a80998f263dcb14d8e0e95ff0680a0f926dd62ee",
"outputIndex": 1,
"outputGlobalIndex": 43030125,
"outputCreatedAt": 1366040,
"outputSettledAt": 1366043,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-18,-17,-52,-75,-35,20,117,78,69,-12,-14,-5,-9,113,-96,42,46,-108,-127,7,-94,-19,-125,-31,64,3,92,-97,67,-124,37,-56)\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(-85,-34,109,43,81,-10,-24,-72,95,48,64,-20,-52,-77,8,117,49,-16,119,58,106,29,63,-86,-18,-16,67,-31,3,-112,-13,-21)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2003022e1d893afc60996f3f0adb3de24bfaf073f5d40aa71e81490f8c18000f7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "03022e1d893afc60996f3f0adb3de24bfaf073f5d40aa71e81490f8c18000f7d"
},
"R5": {
"serializedValue": "0e2041b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "41b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1"
},
"R6": {
"serializedValue": "0e20f109d029b7fa48221ce049b2844570e59a0797da75aacd79575acd1038da5dbe",
"sigmaType": "Coll[SByte]",
"renderedValue": "f109d029b7fa48221ce049b2844570e59a0797da75aacd79575acd1038da5dbe"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "c235244b10b7a2dee2dea96ca7a80659e53cda7c4a9279840b9b500132d99de7",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "ce7dd3e804d99e0051060fc5e94ead2c592b7460640910faf92abe7da3908bd0",
"outputTransactionId": "313b13dcb13dddb5fcec045d2614097eef048dfa3ffd94644092207953634ea9",
"outputIndex": 1,
"outputGlobalIndex": 43030130,
"outputCreatedAt": 1366040,
"outputSettledAt": 1366043,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-18,-17,-52,-75,-35,20,117,78,69,-12,-14,-5,-9,113,-96,42,46,-108,-127,7,-94,-19,-125,-31,64,3,92,-97,67,-124,37,-56)\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(-85,-34,109,43,81,-10,-24,-72,95,48,64,-20,-52,-77,8,117,49,-16,119,58,106,29,63,-86,-18,-16,67,-31,3,-112,-13,-21)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2097a8562cbe24ad41e20b5d18d1d20c32e46c9592dd55fab6b551e43bb5da3e72",
"sigmaType": "Coll[SByte]",
"renderedValue": "97a8562cbe24ad41e20b5d18d1d20c32e46c9592dd55fab6b551e43bb5da3e72"
},
"R5": {
"serializedValue": "0e2041b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "41b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1"
},
"R6": {
"serializedValue": "0e20080604d628ca6b5038b1398123ea39042d96f8c72b7ac43c5952dcb161f46e79",
"sigmaType": "Coll[SByte]",
"renderedValue": "080604d628ca6b5038b1398123ea39042d96f8c72b7ac43c5952dcb161f46e79"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "1d83204ef8bdc582ce5de31c9cae0635bca632a7ed1444ed02ff1b53a2284d7c",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "ce7dd3e804d99e0051060fc5e94ead2c592b7460640910faf92abe7da3908bd0",
"outputTransactionId": "a8db049036ed7e8a2f94a023c12dfdb81ed0ab5ce0ce53400991a66e96a3f95c",
"outputIndex": 1,
"outputGlobalIndex": 43030135,
"outputCreatedAt": 1366040,
"outputSettledAt": 1366043,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-18,-17,-52,-75,-35,20,117,78,69,-12,-14,-5,-9,113,-96,42,46,-108,-127,7,-94,-19,-125,-31,64,3,92,-97,67,-124,37,-56)\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(-85,-34,109,43,81,-10,-24,-72,95,48,64,-20,-52,-77,8,117,49,-16,119,58,106,29,63,-86,-18,-16,67,-31,3,-112,-13,-21)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d6298bf0a83b8f9c10000bef8bdd066d1112fd6436d0ecb783acb5c6b64e9d8a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d6298bf0a83b8f9c10000bef8bdd066d1112fd6436d0ecb783acb5c6b64e9d8a"
},
"R5": {
"serializedValue": "0e2041b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "41b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1"
},
"R6": {
"serializedValue": "0e20777cb9ac2886017b2d140c77fac4fcbdf2d6d1db00dc40911ad39e1456cb9684",
"sigmaType": "Coll[SByte]",
"renderedValue": "777cb9ac2886017b2d140c77fac4fcbdf2d6d1db00dc40911ad39e1456cb9684"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "b51db53fed34d0ebfcdb6acde111326b5c00b5c6c43bb857b67b146d8f2bdb4c",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "ce7dd3e804d99e0051060fc5e94ead2c592b7460640910faf92abe7da3908bd0",
"outputTransactionId": "a9e7423eeefce1697fdf14923abce01ff2a525ecae18ea6272317d49dfacda60",
"outputIndex": 1,
"outputGlobalIndex": 43030140,
"outputCreatedAt": 1366040,
"outputSettledAt": 1366043,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-18,-17,-52,-75,-35,20,117,78,69,-12,-14,-5,-9,113,-96,42,46,-108,-127,7,-94,-19,-125,-31,64,3,92,-97,67,-124,37,-56)\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(-85,-34,109,43,81,-10,-24,-72,95,48,64,-20,-52,-77,8,117,49,-16,119,58,106,29,63,-86,-18,-16,67,-31,3,-112,-13,-21)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2043fcfe6fa31518f54fcf60c6ceea332ef97cec893ef920f5c0c7279eedf0e73f",
"sigmaType": "Coll[SByte]",
"renderedValue": "43fcfe6fa31518f54fcf60c6ceea332ef97cec893ef920f5c0c7279eedf0e73f"
},
"R5": {
"serializedValue": "0e2041b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "41b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1"
},
"R6": {
"serializedValue": "0e201d6ff1e218d83fc5227a68e1d49bed1b743a2a069b3f810270f9e4ee533b14bd",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d6ff1e218d83fc5227a68e1d49bed1b743a2a069b3f810270f9e4ee533b14bd"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "c69547ca209efa4cd4c2d23155cc619d8a19d627780539557510524bf74b2634",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "ce7dd3e804d99e0051060fc5e94ead2c592b7460640910faf92abe7da3908bd0",
"outputTransactionId": "c56b166d24a20e1b9f9fa4748539533864026e59a4754d80d1e55b20d2b70579",
"outputIndex": 1,
"outputGlobalIndex": 43030145,
"outputCreatedAt": 1366040,
"outputSettledAt": 1366043,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-18,-17,-52,-75,-35,20,117,78,69,-12,-14,-5,-9,113,-96,42,46,-108,-127,7,-94,-19,-125,-31,64,3,92,-97,67,-124,37,-56)\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(-85,-34,109,43,81,-10,-24,-72,95,48,64,-20,-52,-77,8,117,49,-16,119,58,106,29,63,-86,-18,-16,67,-31,3,-112,-13,-21)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200417df434d7e4d94bd97ed37ea71acc44988acb6c63d000fe545c526f1cee730",
"sigmaType": "Coll[SByte]",
"renderedValue": "0417df434d7e4d94bd97ed37ea71acc44988acb6c63d000fe545c526f1cee730"
},
"R5": {
"serializedValue": "0e2041b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "41b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1"
},
"R6": {
"serializedValue": "0e209059b497b249ca52d102b623fb26c2e430414e2c2fc6745633ea394533064171",
"sigmaType": "Coll[SByte]",
"renderedValue": "9059b497b249ca52d102b623fb26c2e430414e2c2fc6745633ea394533064171"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "a440227dccf179fd6d3e13c5de8551fb67343b5874c715249bd32103824c38c9",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "ce7dd3e804d99e0051060fc5e94ead2c592b7460640910faf92abe7da3908bd0",
"outputTransactionId": "d4469a000879ee4ced7f256fab522b7a42c587c67f704d8d43ffa51b779594d3",
"outputIndex": 1,
"outputGlobalIndex": 43030150,
"outputCreatedAt": 1366040,
"outputSettledAt": 1366043,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-18,-17,-52,-75,-35,20,117,78,69,-12,-14,-5,-9,113,-96,42,46,-108,-127,7,-94,-19,-125,-31,64,3,92,-97,67,-124,37,-56)\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(-85,-34,109,43,81,-10,-24,-72,95,48,64,-20,-52,-77,8,117,49,-16,119,58,106,29,63,-86,-18,-16,67,-31,3,-112,-13,-21)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201cc2bb7aa8ea18632507358437386edb3124c622ff5f613927fd6442540cb8d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "1cc2bb7aa8ea18632507358437386edb3124c622ff5f613927fd6442540cb8d2"
},
"R5": {
"serializedValue": "0e2041b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "41b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1"
},
"R6": {
"serializedValue": "0e20224d8e56d46e4c04b1876e8416829f53d5c3a18edf9f6a94db2747baffaaa53b",
"sigmaType": "Coll[SByte]",
"renderedValue": "224d8e56d46e4c04b1876e8416829f53d5c3a18edf9f6a94db2747baffaaa53b"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "7e0a613e691ddf2365dfc1bfb56ad045d87b73a602e4048f73d7b967c70d0258",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "ce7dd3e804d99e0051060fc5e94ead2c592b7460640910faf92abe7da3908bd0",
"outputTransactionId": "dc92b9da943458cd68fe57c7943c0e9db4b6f3012acc353f403a7501584db1f2",
"outputIndex": 1,
"outputGlobalIndex": 43030155,
"outputCreatedAt": 1366040,
"outputSettledAt": 1366043,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-18,-17,-52,-75,-35,20,117,78,69,-12,-14,-5,-9,113,-96,42,46,-108,-127,7,-94,-19,-125,-31,64,3,92,-97,67,-124,37,-56)\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(-85,-34,109,43,81,-10,-24,-72,95,48,64,-20,-52,-77,8,117,49,-16,119,58,106,29,63,-86,-18,-16,67,-31,3,-112,-13,-21)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205292ca10542cc6e5d3b102284174e1fdebfab2a61bc089ccb4c5706ce6e491df",
"sigmaType": "Coll[SByte]",
"renderedValue": "5292ca10542cc6e5d3b102284174e1fdebfab2a61bc089ccb4c5706ce6e491df"
},
"R5": {
"serializedValue": "0e2041b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "41b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1"
},
"R6": {
"serializedValue": "0e20cfca88fae220e003ea8829d23698074f5ab9a5b946ba71d4e13584331c67c8f2",
"sigmaType": "Coll[SByte]",
"renderedValue": "cfca88fae220e003ea8829d23698074f5ab9a5b946ba71d4e13584331c67c8f2"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
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},
{
"boxId": "6332193f49091a9d9a7458391ff5eec802d2d7bce8586012de3ae2cf4f9e184d",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "52ef092f10871448e0eee21b63654b3e1fdc5fe1f11f166f4f1f449572e8b249",
"outputTransactionId": "cfdb7766ab63906cacbee859db6146ac0330292d5053f82af0a8e6b637cbb837",
"outputIndex": 1,
"outputGlobalIndex": 43030174,
"outputCreatedAt": 1366040,
"outputSettledAt": 1366044,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-18,-17,-52,-75,-35,20,117,78,69,-12,-14,-5,-9,113,-96,42,46,-108,-127,7,-94,-19,-125,-31,64,3,92,-97,67,-124,37,-56)\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(-85,-34,109,43,81,-10,-24,-72,95,48,64,-20,-52,-77,8,117,49,-16,119,58,106,29,63,-86,-18,-16,67,-31,3,-112,-13,-21)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\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": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 1000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206500ec184dc50d4e956f56a1b237ec2586fedc8b1e5ca4af198287940713c4a3",
"sigmaType": "Coll[SByte]",
"renderedValue": "6500ec184dc50d4e956f56a1b237ec2586fedc8b1e5ca4af198287940713c4a3"
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"R5": {
"serializedValue": "0e2041b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "41b7c9d50e1c2d09be21a038587fb06a6bcd84d04476e0dbcf4f0b2fa4f493b1"
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"R6": {
"serializedValue": "0e20974965582ebfbfc1e0de6a68baceec597427c2d45d612e0ae8cd028f8fe52e62",
"sigmaType": "Coll[SByte]",
"renderedValue": "974965582ebfbfc1e0de6a68baceec597427c2d45d612e0ae8cd028f8fe52e62"
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"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "c72eb3241ec5710e317f941a568ba33629be88e0128e1ca87bc7680e662a09d6",
"value": 2000000,
"index": 10,
"spendingProof": "15fcf2c44b35b067aba0dce5e9e6edd03513863d6d5722ba66935e553abc79874c8dc57e33f4ff2d9968c82242fbc8b0f59a3beb5733f8c4",
"outputBlockId": "4a77f181a43f6c2bd9ba5ac8aed3f4429d2eb4e932445e6044536589b0b5d39e",
"outputTransactionId": "34450e0862278434251c8150be057a9bec78a544fbb2cd371edf07ea786dc881",
"outputIndex": 3,
"outputGlobalIndex": 42983799,
"outputCreatedAt": 1363858,
"outputSettledAt": 1363861,
"ergoTree": "0008cd027706b22b246a5db4ea16851b4b46c5fb572e16c074118928a31e5cb39a105bd2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7706b2,31f0b0,...)))}",
"address": "9fRUsuJbe1jfKZDCGDgBxgMYTZaviwbTSoP7egagpncX3rCbmi2",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 16000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "a77d1a97d86cc0258690babb2ca921ed184540bb9266a31ba80ea9805d671a6c",
"value": 2000000,
"index": 11,
"spendingProof": "7d44217a80b5d7fd04208b4e0e32b4bcbd46dd90c7fcc06eb15a2e0fa9955ff3d0e30f9a92b1c858cb2d3570951e9bc3683c17796248fd09",
"outputBlockId": "dd26a9df3cdb7982490eaadb7a044ca4d34479b498dfcdfbea939e5316b6af40",
"outputTransactionId": "ea0a40c4e034e7dde4af96b50de4b3d44feaca71f01be1eb057e7d83e08dede2",
"outputIndex": 3,
"outputGlobalIndex": 38530894,
"outputCreatedAt": 1230617,
"outputSettledAt": 1230620,
"ergoTree": "0008cd027706b22b246a5db4ea16851b4b46c5fb572e16c074118928a31e5cb39a105bd2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7706b2,31f0b0,...)))}",
"address": "9fRUsuJbe1jfKZDCGDgBxgMYTZaviwbTSoP7egagpncX3rCbmi2",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 2222,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "96853c670795856b420c16620070fa1ea481441ff4de1cfdd6d09b0b81d33098",
"value": 1100000,
"index": 0,
"outputBlockId": "cca276d63a9b0e1fd73097fca4f5ee45cc7875933df803d0fe17c04446919c4f",
"outputTransactionId": "e33847859305265c2bf4d84a456679f129b5e5dceaf0f6281374fd3bdd6b05b8",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAa6eaMgMtHpTTkiF7FcKQaMurTF2iDyZaghSsYuMMLLQKsyFJyygHqSzuvAkokiTjZs2GXiF2JRW9JfXifKAYWSTLrZAHsk9ExH7jiJ5hT7Ex2YDBbRnoyafZ2j282op1wg4T3Yp7rzuihZShM1U96Xx4UF5MqnHJokjnogqjEMjUB1NgQ4Vha9eoHfepW1ULxdm",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
"boxId": "b840cbd403528e6985994c69fcb1e87f6cedaa384d8f67fafdc831fd4635a9df",
"value": 2000000,
"index": 1,
"outputBlockId": "30e9a6fa5b2fe2da1bcbdf9be1f3b14d279c6ad0b00b4d5b00422a42764aa914",
"outputTransactionId": "354bc9fd641299a8fd1d0a2ae87d2f3c058479d53f7f8a1f0cf366c27b6bbf1c",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0763617264616e6f",
"sigmaType": "Coll[SByte]",
"renderedValue": "63617264616e6f"
},
"R5": {
"serializedValue": "0514",
"sigmaType": "SLong",
"renderedValue": "10"
}
}
}
],
"outputs": [
{
"boxId": "992dbb65e4c62da444e9306f173b70ef20456e55321b54a4e844b849ad1b1c18",
"transactionId": "d8505e1b9dbef2fcf3cc7c9d5c1ecbee4bc5cb61ad48ea9b5ca51f0955d3362f",
"blockId": "c77d07854e0537d4030e6c2250d04d73004a79b31dd1841190f2d764d9b79b3f",
"value": 20000000,
"index": 0,
"globalIndex": 43030334,
"creationHeight": 1366048,
"settlementHeight": 1366051,
"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(99,-49,-115,-40,12,34,-4,77,76,102,77,-61,0,122,41,26,44,39,112,-24,22,-89,-9,-22,47,125,105,-87,-100,-24,80,-93)\n10: 1\n11: 0\n12: Coll(12,-95,-45,30,-109,-76,47,-98,68,-27,41,14,52,17,-86,-94,-70,103,-86,-63,88,-27,121,22,-26,69,97,45,17,7,41,-11)\n13: 10\n14: Coll(-59,-96,41,-11,-109,-95,6,-31,89,77,-38,30,84,53,-82,68,-77,71,-6,77,-33,-113,-96,60,-51,5,122,-4,40,-73,-35,56)",
"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": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20497f68d7241243e980e0fcc01eea7783d0b3b0d1e24ca310a4e101d45d42578c",
"sigmaType": "Coll[SByte]",
"renderedValue": "497f68d7241243e980e0fcc01eea7783d0b3b0d1e24ca310a4e101d45d42578c"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[34393835363730636366613665653735656432353661303761666539356538623335626461656365616230356539613632353330376433303435663166356161,63617264616e6f,657468657265756d,616464723171783932716566726178637939373074346165376464366439706e76786e67336770763868723568677039683332307030773378706465706b3634303537757032783573667a7a73776a707a717477766473656572736c3867723671776678397361,307837643937313065336534393166633463623733383566636232333865373531326534653863636563,000000000a1a5d60,000000000019dd18,00000000004c4b40,33313232353431343836633938336436333765376564393333306339346534393065316665346131373538373235666162376636643965302e3732373334333534353432643663366636353665,307831643838633334393364353661316135663937366233626364316263643861656261373836663437,35366162333465333932306336343231373832343838636633373861626330396631663437333266616437303065613335373339386662613666356261396565,0000000000a69780]"
},
"R6": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "e83b063e81096c0e56f782bad12a5555bac1c15c695541a0784cf4744802be1f",
"mainChain": true
},
{
"boxId": "2607d7df9dac190d33699346bb6a81d0bdfa4bf22a49cc45dc2f07457d1a0d49",
"transactionId": "d8505e1b9dbef2fcf3cc7c9d5c1ecbee4bc5cb61ad48ea9b5ca51f0955d3362f",
"blockId": "c77d07854e0537d4030e6c2250d04d73004a79b31dd1841190f2d764d9b79b3f",
"value": 2000000,
"index": 1,
"globalIndex": 43030335,
"creationHeight": 1366048,
"settlementHeight": 1366051,
"ergoTree": "0008cd027706b22b246a5db4ea16851b4b46c5fb572e16c074118928a31e5cb39a105bd2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7706b2,31f0b0,...)))}",
"address": "9fRUsuJbe1jfKZDCGDgBxgMYTZaviwbTSoP7egagpncX3rCbmi2",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 18222,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "ffbb24c278160100c5c4f0ca65a41eda5030c657a38a5f791b14093dabd4cc87",
"mainChain": true
},
{
"boxId": "8fc6af414dd142432ca65acdb2e7a2b616809aaebd6ca83a48fabcab7b59fa69",
"transactionId": "d8505e1b9dbef2fcf3cc7c9d5c1ecbee4bc5cb61ad48ea9b5ca51f0955d3362f",
"blockId": "c77d07854e0537d4030e6c2250d04d73004a79b31dd1841190f2d764d9b79b3f",
"value": 2000000,
"index": 2,
"globalIndex": 43030336,
"creationHeight": 1366048,
"settlementHeight": 1366051,
"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": "43d4c31fe28b92d7601de9869b8452e3a17747d0ac4bea875cc72fbd38638e6d",
"mainChain": true
}
],
"size": 1721,
"isUnconfirmed": false
}