Transaction
ID: 5776741bec...e298
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:
11.11
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
21.68
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:
32.79
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 440,358
Total coins transferred: 0.024 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001142 ERG
Raw Transaction Data
{
"id": "5776741bece3263db92624d3bebb324f317d94e27a5c61fd152a2f951332e298",
"blockId": "18db5596e238384fd9a7027a12fb02aa941ea9964171aa0000d12861d3d31130",
"inclusionHeight": 1322589,
"timestamp": 1722749840681,
"index": 17,
"globalIndex": 7596337,
"numConfirmations": 440358,
"inputs": [
{
"boxId": "6e9068a4875ce8d63585ce054ea6f293e20c2ee70e6216abc4bba8d2f267b64b",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3f53b6c62d72b48aabcd924b3902cf8e840b2ea6a7f0222266ae6f9a888b2a1c",
"outputTransactionId": "251a0e52c43ded204f6c34dc81475de4886329702deeb9e85a8495b6ef4ecc4d",
"outputIndex": 1,
"outputGlobalIndex": 41924622,
"outputCreatedAt": 1322576,
"outputSettledAt": 1322580,
"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": "0e202dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303",
"sigmaType": "Coll[SByte]",
"renderedValue": "2dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303"
},
"R6": {
"serializedValue": "0e20224599860a98a05e91502f1acae14734b0dd13c84605909adb63c8c28b0f7ceb",
"sigmaType": "Coll[SByte]",
"renderedValue": "224599860a98a05e91502f1acae14734b0dd13c84605909adb63c8c28b0f7ceb"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "9799f2d80fb429e41f36f5d2e3e069415728a3c6318a1821a402a4ad6411d26d",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "3f53b6c62d72b48aabcd924b3902cf8e840b2ea6a7f0222266ae6f9a888b2a1c",
"outputTransactionId": "59ccf54dc9a8fa641c9484f80bc699e6c74c687f1077849cf89cf7eb5184290a",
"outputIndex": 1,
"outputGlobalIndex": 41924627,
"outputCreatedAt": 1322576,
"outputSettledAt": 1322580,
"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": "0e202dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303",
"sigmaType": "Coll[SByte]",
"renderedValue": "2dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303"
},
"R6": {
"serializedValue": "0e2080403f10af428fb4ab076348896376e72605b951b2ea8b38e6595228952ce3b8",
"sigmaType": "Coll[SByte]",
"renderedValue": "80403f10af428fb4ab076348896376e72605b951b2ea8b38e6595228952ce3b8"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "c695ce70bc605edd465a6a748ab10d93a734d682526b61c766945356cdc576e6",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "3f53b6c62d72b48aabcd924b3902cf8e840b2ea6a7f0222266ae6f9a888b2a1c",
"outputTransactionId": "6c0113cbe738b79a6f5fe21793e1798efd12a703143fa7df4840fed03f2395a8",
"outputIndex": 1,
"outputGlobalIndex": 41924632,
"outputCreatedAt": 1322576,
"outputSettledAt": 1322580,
"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": "0e202dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303",
"sigmaType": "Coll[SByte]",
"renderedValue": "2dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303"
},
"R6": {
"serializedValue": "0e20e7306c1e577bd021799cdf679939d97d9e6b3081f57aedd157a878c48fddf5a1",
"sigmaType": "Coll[SByte]",
"renderedValue": "e7306c1e577bd021799cdf679939d97d9e6b3081f57aedd157a878c48fddf5a1"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "6b93ca8def85b169f68f2f0d8c88331c6193c03717e2c19c258ba583ee21eb68",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "3f53b6c62d72b48aabcd924b3902cf8e840b2ea6a7f0222266ae6f9a888b2a1c",
"outputTransactionId": "8d156f5ea69f2f3a88f67e26a78421ac43256f967d0a119a29249f7677ef6fea",
"outputIndex": 1,
"outputGlobalIndex": 41924637,
"outputCreatedAt": 1322576,
"outputSettledAt": 1322580,
"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": "0e202dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303",
"sigmaType": "Coll[SByte]",
"renderedValue": "2dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303"
},
"R6": {
"serializedValue": "0e20bf738433d3ac232d07a0fa53c11810ebdc706b89716d2298a120739a6571d016",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf738433d3ac232d07a0fa53c11810ebdc706b89716d2298a120739a6571d016"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "f8ddd9502dee31b0282cdcf376ac0fa53367f9ff348ccdc1b3fb6075441a1892",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "3f53b6c62d72b48aabcd924b3902cf8e840b2ea6a7f0222266ae6f9a888b2a1c",
"outputTransactionId": "a6032b070f91afd52bc88382212bc21ed00e44ae3beab1587b6cf1de64922714",
"outputIndex": 1,
"outputGlobalIndex": 41924642,
"outputCreatedAt": 1322576,
"outputSettledAt": 1322580,
"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": "0e202dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303",
"sigmaType": "Coll[SByte]",
"renderedValue": "2dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303"
},
"R6": {
"serializedValue": "0e20438ba28811fdccb97d563e5def0f8014a4764a508fd6710c6f386a89f97348d4",
"sigmaType": "Coll[SByte]",
"renderedValue": "438ba28811fdccb97d563e5def0f8014a4764a508fd6710c6f386a89f97348d4"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "3bb324d516fb2fee079a31ebd4f9c02d1facaf0f0230746bc40fe3cdbb542899",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "3f53b6c62d72b48aabcd924b3902cf8e840b2ea6a7f0222266ae6f9a888b2a1c",
"outputTransactionId": "b86d8bdc2c4591e56dd24c82542edf456632f672cdcc4c39880c422d1ba0ab54",
"outputIndex": 1,
"outputGlobalIndex": 41924647,
"outputCreatedAt": 1322576,
"outputSettledAt": 1322580,
"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": "0e202dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303",
"sigmaType": "Coll[SByte]",
"renderedValue": "2dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303"
},
"R6": {
"serializedValue": "0e20ac9c2bf89fcbe055171740d4ee9977e34e2cc19f97b285a8013d9eeff1239680",
"sigmaType": "Coll[SByte]",
"renderedValue": "ac9c2bf89fcbe055171740d4ee9977e34e2cc19f97b285a8013d9eeff1239680"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
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},
{
"boxId": "6f1b488da30885f536ff3a02fb5629331054eb9cd5f52ce8260b5cffacf9f7fb",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "3f53b6c62d72b48aabcd924b3902cf8e840b2ea6a7f0222266ae6f9a888b2a1c",
"outputTransactionId": "c30bd59701b10fdb2d8d533201efd4e28f91a4d299239c739e33ec9ae9f9afc3",
"outputIndex": 1,
"outputGlobalIndex": 41924652,
"outputCreatedAt": 1322576,
"outputSettledAt": 1322580,
"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"
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"R5": {
"serializedValue": "0e202dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303",
"sigmaType": "Coll[SByte]",
"renderedValue": "2dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303"
},
"R6": {
"serializedValue": "0e205301112b9f48f252810ff509b62a55174215604f04771aff05028363830ee5f7",
"sigmaType": "Coll[SByte]",
"renderedValue": "5301112b9f48f252810ff509b62a55174215604f04771aff05028363830ee5f7"
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"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
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"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "3f53b6c62d72b48aabcd924b3902cf8e840b2ea6a7f0222266ae6f9a888b2a1c",
"outputTransactionId": "f8a117a25c2a25c9370d61f7d3f6d699cf6aeb12802b8d59a1fb200822024ebe",
"outputIndex": 1,
"outputGlobalIndex": 41924657,
"outputCreatedAt": 1322576,
"outputSettledAt": 1322580,
"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}",
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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": "0e202dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303",
"sigmaType": "Coll[SByte]",
"renderedValue": "2dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303"
},
"R6": {
"serializedValue": "0e2091009317cf5aeda641786ac1449af9effffce26cb3bd96b074fec771d02dce18",
"sigmaType": "Coll[SByte]",
"renderedValue": "91009317cf5aeda641786ac1449af9effffce26cb3bd96b074fec771d02dce18"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "458fb62948d511e7c9e31938ba68bf1ae952b1628d25245ddf563b68046a4144",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "88e63bb5223b0f9b37be60571ac906b7a3bd9f99e7751e68a83a8e8dde5d75e4",
"outputTransactionId": "9688478a48c1a5549d4be07e15e72359099dbbd145cb7d500164f058c162f4d9",
"outputIndex": 1,
"outputGlobalIndex": 41924689,
"outputCreatedAt": 1322579,
"outputSettledAt": 1322581,
"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": "5ivrmzxYa5DV9AwVmARQKx4K3sK4HZMe9nqXeCNb66qF8WQkiLZoZ2ueLcJY4cuXwdTULEHaGZY65Z5rzAMrLhJMhWn5reGDwrSh3r5jVrTw9zoTnV3ayEAuMeNWGeHLeB5Y8TCAKoYpEZamTsMkmjY1zv1gCyDvhrfRckYZqwPbBX1GHYG1u2yEG5mRb8ctKf7dauuHgFT7mh5LaLEpPnqhKUwr4mXrBQNfCphaHFXVWSQSW5kaemFkaZGyeMd8HwQ4f5c2RrFV5jznD1EyXspCcXexWbaBKn9ByFAA2XaPB4xznUmQrLyqC3vLF8y9KV6fJgHd8AbArStzoBZdtB3XbaLAzk5AzCHsG7mR45MW424US2oemQyjwqiK2HN2fXqgsbkZu1pfUjv246HKY3e27exqWj4XazDaMASZjrzGPtqQW6H4sbuGAQbgiUQ3dwD2n5mbhHTE31y7yaspTAaYEC9nfPssVak51obghtntMv9EFesbG39byk5o2To5q6ipmDRdk8AjtaLru5PrYbdRGdVUCkJdsDq9QG5dDDvo4b882HkeoeNhjMD55eohxcaRSZeGma5PNagZvMGnnxKkaQFwcpSKQkP8zwg8VFjAJ3nHB9eL3hpTVAweFaLfGQciJ8ZLZUPExp9coksb1CjSPxUuTQDRytmVkrpkdw8Amvg3x9eq2GzStpPwzyLFX633ez2KtBai5YkBSzNt1yU4TTaKaj6pJ8gEgXHXMZMzsFsvugX35hjcoBEbbVqTcAXS8vsGro5WHUiD9dWwNWBWgzeYiF7qNgaSNLWdXCTTt96aueHXSXu3JynLWbD1sUdQuHc1y47vceKWjmwsQPwdR8Tvo3Rz9ZZvpG7anFzgCdX4SmeHvTezZoTKMJ5J15sEvJSbAxXqtzJMcTXL1y8MbJuMpsjVAmwpxzsAJysMToLcQ9EqF83x92uJvipT5e8grydnLqAFYdCQ9sP1x7NYkTNjeMLeLQTckHpLVUZfomuxWR6gTcLuaXAJzAnVzPETNstqFKoFzC7tPbLVZ5N1WB2iVHJrTJ4HFTM4QBTaGFMnKGxgSmJHpPzZV3MqJ4kNBpReLmfKWv3WFGmZK7MmhK7Y2KNvrbv7kV8Ur8T5yQXPBA4k8QyCmqqYxoKCiuRnagwESNeLcZveah2uKCpJzwv87ywoUVxzXNrNQfT5dD6cTuQ4nXb2QnU1QCyZVWbbAPLyG5MHVZck7UdYRopuq99NDSX1xut43cZhsrMEDXjjLGvwSwsVesrtFgw1V6GXnYSY1AuBbkuVGyyKQ",
"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": "0e202dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303",
"sigmaType": "Coll[SByte]",
"renderedValue": "2dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303"
},
"R6": {
"serializedValue": "0e207f6593e6b622e236b657542e3b415f290c6d7833e92a9a7cec6d928c1ff4941d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7f6593e6b622e236b657542e3b415f290c6d7833e92a9a7cec6d928c1ff4941d"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
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},
{
"boxId": "900f682df728798a3bd95e776e60a8b2f339ff843e4bed4cecb24be48a81aa93",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "88e63bb5223b0f9b37be60571ac906b7a3bd9f99e7751e68a83a8e8dde5d75e4",
"outputTransactionId": "cbad5a9e89905dc30dd873572f4f9081a65426868dc221c647ae98dbf493a374",
"outputIndex": 1,
"outputGlobalIndex": 41924693,
"outputCreatedAt": 1322578,
"outputSettledAt": 1322581,
"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": "5ivrmzxYa5DV9AwVmARQKx4K3sK4HZMe9nqXeCNb66qF8WQkiLZoZ2ueLcJY4cuXwdTULEHaGZY65Z5rzAMrLhJMhWn5reGDwrSh3r5jVrTw9zoTnV3ayEAuMeNWGeHLeB5Y8TCAKoYpEZamTsMkmjY1zv1gCyDvhrfRckYZqwPbBX1GHYG1u2yEG5mRb8ctKf7dauuHgFT7mh5LaLEpPnqhKUwr4mXrBQNfCphaHFXVWSQSW5kaemFkaZGyeMd8HwQ4f5c2RrFV5jznD1EyXspCcXexWbaBKn9ByFAA2XaPB4xznUmQrLyqC3vLF8y9KV6fJgHd8AbArStzoBZdtB3XbaLAzk5AzCHsG7mR45MW424US2oemQyjwqiK2HN2fXqgsbkZu1pfUjv246HKY3e27exqWj4XazDaMASZjrzGPtqQW6H4sbuGAQbgiUQ3dwD2n5mbhHTE31y7yaspTAaYEC9nfPssVak51obghtntMv9EFesbG39byk5o2To5q6ipmDRdk8AjtaLru5PrYbdRGdVUCkJdsDq9QG5dDDvo4b882HkeoeNhjMD55eohxcaRSZeGma5PNagZvMGnnxKkaQFwcpSKQkP8zwg8VFjAJ3nHB9eL3hpTVAweFaLfGQciJ8ZLZUPExp9coksb1CjSPxUuTQDRytmVkrpkdw8Amvg3x9eq2GzStpPwzyLFX633ez2KtBai5YkBSzNt1yU4TTaKaj6pJ8gEgXHXMZMzsFsvugX35hjcoBEbbVqTcAXS8vsGro5WHUiD9dWwNWBWgzeYiF7qNgaSNLWdXCTTt96aueHXSXu3JynLWbD1sUdQuHc1y47vceKWjmwsQPwdR8Tvo3Rz9ZZvpG7anFzgCdX4SmeHvTezZoTKMJ5J15sEvJSbAxXqtzJMcTXL1y8MbJuMpsjVAmwpxzsAJysMToLcQ9EqF83x92uJvipT5e8grydnLqAFYdCQ9sP1x7NYkTNjeMLeLQTckHpLVUZfomuxWR6gTcLuaXAJzAnVzPETNstqFKoFzC7tPbLVZ5N1WB2iVHJrTJ4HFTM4QBTaGFMnKGxgSmJHpPzZV3MqJ4kNBpReLmfKWv3WFGmZK7MmhK7Y2KNvrbv7kV8Ur8T5yQXPBA4k8QyCmqqYxoKCiuRnagwESNeLcZveah2uKCpJzwv87ywoUVxzXNrNQfT5dD6cTuQ4nXb2QnU1QCyZVWbbAPLyG5MHVZck7UdYRopuq99NDSX1xut43cZhsrMEDXjjLGvwSwsVesrtFgw1V6GXnYSY1AuBbkuVGyyKQ",
"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": "0e202dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303",
"sigmaType": "Coll[SByte]",
"renderedValue": "2dd2904890fe6bea824f21a3f820f04f3f06f81d89ad5bb52ab4abf46fd31303"
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"R6": {
"serializedValue": "0e2087b20eb957e8960d76fcea4e22797fa3c926d29957999d1b9a4874f85c3f10f4",
"sigmaType": "Coll[SByte]",
"renderedValue": "87b20eb957e8960d76fcea4e22797fa3c926d29957999d1b9a4874f85c3f10f4"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
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},
{
"boxId": "30406302f78ccb560cce455097aa999ad7a2b3ef9949f9cc820cc7e7e9dfc0c3",
"value": 2000000,
"index": 10,
"spendingProof": "01f6d04402040ae1353f522ac48f1cb2f5ae24efbc154ed36a094b2052c8f7a7f9c2b1694a679bff00dc0bd921b2cc006f234a4f6bfeffd7",
"outputBlockId": "8bd040ff36b31b5a7c46e52e07c9ecfe8c0758d63df8d9310083136da0af207d",
"outputTransactionId": "82dc8440a40560b7eccb7f66246fe4d5bb86469f2e7c5c843e6c8ab25f8155e6",
"outputIndex": 1,
"outputGlobalIndex": 41331591,
"outputCreatedAt": 1304246,
"outputSettledAt": 1304249,
"ergoTree": "0008cd03f2dd57246bd7bc772904cffd122d2d53e30659524d778ce7bb41424160ad266b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f2dd57,d07387,...)))}",
"address": "9iJmLnd1JUKdm9RNrANHM91E8gWzU92g92ArMi8DxtJnxEnnCdf",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 11110,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "e47d1bee9c851c3160bf7a0e3261b78d4f0b50b272ffd6815e8b203e97bbf681",
"value": 2000000,
"index": 11,
"spendingProof": "b8390ae49698954fd98b0a09a7b160c0621930fc4a2ec4708465e07a24416918f46ff421a83cec546ddb60902c7036fae2bd163093f8cfcb",
"outputBlockId": "c3d9012cba16f036390b30eaaa636746c5d4dad7deb737be03e971fffee0c294",
"outputTransactionId": "b9cf0ce281ee630b258eab29d64ff5d7d144eb72fe54cacccbfe3c7cdc17500c",
"outputIndex": 1,
"outputGlobalIndex": 41330696,
"outputCreatedAt": 1304240,
"outputSettledAt": 1304242,
"ergoTree": "0008cd03f2dd57246bd7bc772904cffd122d2d53e30659524d778ce7bb41424160ad266b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f2dd57,d07387,...)))}",
"address": "9iJmLnd1JUKdm9RNrANHM91E8gWzU92g92ArMi8DxtJnxEnnCdf",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 21675,
"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": "9f7731f4b4ab0cae1271458a9afacdb881cce7689c3e14675966043ad22ca3d1",
"transactionId": "5776741bece3263db92624d3bebb324f317d94e27a5c61fd152a2f951332e298",
"blockId": "18db5596e238384fd9a7027a12fb02aa941ea9964171aa0000d12861d3d31130",
"value": 20000000,
"index": 0,
"globalIndex": 41924875,
"creationHeight": 1322587,
"settlementHeight": 1322589,
"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": "0e20ba8c8f68e3498fad73e073ae2d71f5c6a1c97e24663bda8a40f36676714f23a4",
"sigmaType": "Coll[SByte]",
"renderedValue": "ba8c8f68e3498fad73e073ae2d71f5c6a1c97e24663bda8a40f36676714f23a4"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[33323438366536393936386638396664623635616566636632326466316137616239313164363339303863366561353266663133373634346139656130336131,63617264616e6f,6572676f,61646472317138717474733479656c70727174753934377936346e6633616461656475726b376c36617965343474657238723365636d72796432706835357638666c79686e766439687376683073643065326e7a6b387664793564686465646c736e727076346c,396647727a45376735537a5972387552474356787632556a6245734d64573650726656544b4259355a77437956783155335558,00000000000007d6,00000000000003e8,0000000000000028,33313232353431343836633938336436333765376564393333306339346534393065316665346131373538373235666162376636643965302e346436343534366636623635366532643663366636353665,37326665336565356239353234356235396139303536613536343038633235616332333539306235323332326361393034306363323761646661343531303566,37613865633461326266353734373833326232346132633163663961653633313736376630373261376233613465643265623731373737323531393161373031,0000000000a2a756]"
},
"R6": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "bd85add8d349cc4033da437588344514f0c7c549b9dbb1f1ae14d16fb2c03113",
"mainChain": true
},
{
"boxId": "ef4679bae906ae001de83d44d384b7d18019b737d33fcfc174e7048f9e705c0c",
"transactionId": "5776741bece3263db92624d3bebb324f317d94e27a5c61fd152a2f951332e298",
"blockId": "18db5596e238384fd9a7027a12fb02aa941ea9964171aa0000d12861d3d31130",
"value": 2000000,
"index": 1,
"globalIndex": 41924876,
"creationHeight": 1322587,
"settlementHeight": 1322589,
"ergoTree": "0008cd03f2dd57246bd7bc772904cffd122d2d53e30659524d778ce7bb41424160ad266b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f2dd57,d07387,...)))}",
"address": "9iJmLnd1JUKdm9RNrANHM91E8gWzU92g92ArMi8DxtJnxEnnCdf",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 32785,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "434de1c0aa47344bce03f3d47dd8fd3852415fc11db53de36e0849a8da60db28",
"mainChain": true
},
{
"boxId": "6223f6b83d64879e0862b103f3207fb5b129589b70b4192681ef753cee375ff2",
"transactionId": "5776741bece3263db92624d3bebb324f317d94e27a5c61fd152a2f951332e298",
"blockId": "18db5596e238384fd9a7027a12fb02aa941ea9964171aa0000d12861d3d31130",
"value": 2000000,
"index": 2,
"globalIndex": 41924877,
"creationHeight": 1322587,
"settlementHeight": 1322589,
"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": "d3ee7e87bb71c6afe8aafc44c0a6fe2a09446f342d671a7cef2c90d546d66a2a",
"mainChain": true
}
],
"size": 1752,
"isUnconfirmed": false
}