Transaction
ID: ca91504646...bfcb
Inputs (10)
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:
0.004 ERG
Tokens:
905.22
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.018 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
905.22
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 533,617
Total coins transferred: 0.022 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001324 ERG
Raw Transaction Data
{
"id": "ca9150464633dc3db6026f9aec1589aa513a600da8fe6d7fd356db65ec8abfcb",
"blockId": "3235f7d98ca911112694098489e3e4455177f416674da9527da88a524cd21089",
"inclusionHeight": 1228537,
"timestamp": 1711372313718,
"index": 5,
"globalIndex": 6886701,
"numConfirmations": 533617,
"inputs": [
{
"boxId": "e34e60912f985feadb6119f76098b328d0eaf70c9d122948c23d574e59ae63e5",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "4fcbea4cae8f310b9d34c137aa27b220255746499b842b3731cec3470ad8919d",
"outputTransactionId": "849f84af5ad2ede68ede64aa48daf75f938b8cfca112c93a387fadfdcf41d210",
"outputIndex": 1,
"outputGlobalIndex": 38453872,
"outputCreatedAt": 1228526,
"outputSettledAt": 1228528,
"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": "0e2081d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06",
"sigmaType": "Coll[SByte]",
"renderedValue": "81d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06"
},
"R6": {
"serializedValue": "0e20cb3c57d333331b2fbce7daf1eb2dda1ab8a1fddb7978e2e0474183c76dc77f87",
"sigmaType": "Coll[SByte]",
"renderedValue": "cb3c57d333331b2fbce7daf1eb2dda1ab8a1fddb7978e2e0474183c76dc77f87"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "044b547ec48f1b9632a380049068682d1b59cb1a3eb76c99f9a7afefe489f169",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "4fcbea4cae8f310b9d34c137aa27b220255746499b842b3731cec3470ad8919d",
"outputTransactionId": "4c424004798bf1061895d1982e174253e200f34bc6e9c7690ae75b62ef53910a",
"outputIndex": 1,
"outputGlobalIndex": 38453876,
"outputCreatedAt": 1228526,
"outputSettledAt": 1228528,
"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": "0e2081d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06",
"sigmaType": "Coll[SByte]",
"renderedValue": "81d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06"
},
"R6": {
"serializedValue": "0e201d1f239c7bfd8d396efb331ff112dad129408caca317f225dbbda837971721b0",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d1f239c7bfd8d396efb331ff112dad129408caca317f225dbbda837971721b0"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "6ded19dd4160b7bd753613e7732cde12784530b35a877768c674d51e01246a79",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "4fcbea4cae8f310b9d34c137aa27b220255746499b842b3731cec3470ad8919d",
"outputTransactionId": "8ab60274cf57598f2938688d648c9fe463964b789b5b0564bfa70062235bbd17",
"outputIndex": 1,
"outputGlobalIndex": 38453881,
"outputCreatedAt": 1228526,
"outputSettledAt": 1228528,
"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": "0e2081d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06",
"sigmaType": "Coll[SByte]",
"renderedValue": "81d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06"
},
"R6": {
"serializedValue": "0e205f18e458421d732e4339e3ceac0fb8ed57ccf966773d37ec462928049d126441",
"sigmaType": "Coll[SByte]",
"renderedValue": "5f18e458421d732e4339e3ceac0fb8ed57ccf966773d37ec462928049d126441"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "cc2421176e3797702612775680c08450fb4c81f21f7e4ce6bf90c297757c80f0",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "4fcbea4cae8f310b9d34c137aa27b220255746499b842b3731cec3470ad8919d",
"outputTransactionId": "9a232ad4ec124fbea6f02c921dc61d0bcc6b515ea3c477d7ab8c782b6d4f608d",
"outputIndex": 1,
"outputGlobalIndex": 38453886,
"outputCreatedAt": 1228526,
"outputSettledAt": 1228528,
"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": "0e2081d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06",
"sigmaType": "Coll[SByte]",
"renderedValue": "81d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06"
},
"R6": {
"serializedValue": "0e2000ee4e1b8d23b39d4425e032d362a111340eb8d19c5acaed36e7e2e9bcb564dc",
"sigmaType": "Coll[SByte]",
"renderedValue": "00ee4e1b8d23b39d4425e032d362a111340eb8d19c5acaed36e7e2e9bcb564dc"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "8854f267173121cdb82647650944cc0d8ec936862851328a5afb9c83c90f974c",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "4fcbea4cae8f310b9d34c137aa27b220255746499b842b3731cec3470ad8919d",
"outputTransactionId": "f109b337c0791a1fc23a2a0e5b709a07ef0ead8708d78081b5ff0aa6720eb719",
"outputIndex": 1,
"outputGlobalIndex": 38453891,
"outputCreatedAt": 1228526,
"outputSettledAt": 1228528,
"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"
},
"R5": {
"serializedValue": "0e2081d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06",
"sigmaType": "Coll[SByte]",
"renderedValue": "81d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06"
},
"R6": {
"serializedValue": "0e2019dd3a124cbca05e17e12a878aebc3a967bc3b46ad1e7d13e6e9b9ee479d7a97",
"sigmaType": "Coll[SByte]",
"renderedValue": "19dd3a124cbca05e17e12a878aebc3a967bc3b46ad1e7d13e6e9b9ee479d7a97"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "08840805d166a8709e1fd793b435eca2bcbf1fa1003091ee86b8239fa728deb9",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "4fcbea4cae8f310b9d34c137aa27b220255746499b842b3731cec3470ad8919d",
"outputTransactionId": "da30e307fb2f59c130e4a1123a119e5636d3987f5c77f7b3f289e0df5a76c544",
"outputIndex": 1,
"outputGlobalIndex": 38453896,
"outputCreatedAt": 1228526,
"outputSettledAt": 1228528,
"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": "0e2081d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06",
"sigmaType": "Coll[SByte]",
"renderedValue": "81d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06"
},
"R6": {
"serializedValue": "0e20d43274f93ff4e4658c3b87fdcee59c7d287fb58d0b23f00f84b1eabcf32e7ebd",
"sigmaType": "Coll[SByte]",
"renderedValue": "d43274f93ff4e4658c3b87fdcee59c7d287fb58d0b23f00f84b1eabcf32e7ebd"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "0717d1000a47a6e28fc36b3eb76b585de7b0c5095f19e6350ea3b631497edd9d",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "4fcbea4cae8f310b9d34c137aa27b220255746499b842b3731cec3470ad8919d",
"outputTransactionId": "f6ae1ecc1c2fb6be0b0f84fe0a8029fcbadea55b102690133bc22caa5ff8288c",
"outputIndex": 1,
"outputGlobalIndex": 38453901,
"outputCreatedAt": 1228526,
"outputSettledAt": 1228528,
"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": "0e2081d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06",
"sigmaType": "Coll[SByte]",
"renderedValue": "81d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06"
},
"R6": {
"serializedValue": "0e20b1baf517d6d011bd9c27564501e4aae80a144500ac2ff9c8b01c45346a250878",
"sigmaType": "Coll[SByte]",
"renderedValue": "b1baf517d6d011bd9c27564501e4aae80a144500ac2ff9c8b01c45346a250878"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "a57d98c15694bea9dc51c40998a181ce06a8796726dd2731d0c14dc7df1a1ca9",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "26ac7af3651d1c0dab8dd61398203ce7e25d4ff90867c01f15a77d532fc76d83",
"outputTransactionId": "6f7267001f84c4465740a9c57c59dcc5fff222e6e407ee8543f9de24985eb96e",
"outputIndex": 1,
"outputGlobalIndex": 38453948,
"outputCreatedAt": 1228527,
"outputSettledAt": 1228530,
"ergoTree": "102404000e20eeefccb5dd14754e45f4f2fbf771a02a2e948107a2ed83e140035c9f438425c8040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20abde6d2b51f6e8b85f3040ecccb3087531f0773a6a1d3faaeef043e10390f3eb04000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"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": "0e2081d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06",
"sigmaType": "Coll[SByte]",
"renderedValue": "81d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06"
},
"R6": {
"serializedValue": "0e203886e92a210b408c3f388c1d65d21db5944553cbefa5b3cf7e77aa08856b34d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "3886e92a210b408c3f388c1d65d21db5944553cbefa5b3cf7e77aa08856b34d7"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "b04f01a5457f7b460c74ab9d7ed53ad0850536c413c5ee397fb133adbc9e5c77",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "26ac7af3651d1c0dab8dd61398203ce7e25d4ff90867c01f15a77d532fc76d83",
"outputTransactionId": "322c0d5e1e6bb7eb5bf6b05cbdc13d91acd364431107cc8d8294f0de656e95dd",
"outputIndex": 1,
"outputGlobalIndex": 38453953,
"outputCreatedAt": 1228527,
"outputSettledAt": 1228530,
"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": "0e2081d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06",
"sigmaType": "Coll[SByte]",
"renderedValue": "81d419e49903b294a82d50d3c68585c4c520213292d09e028366df13dc199e06"
},
"R6": {
"serializedValue": "0e206ea4cee3abd4f607b629534412e0ea74ae833fa41d54b057e198062c2a8f38d6",
"sigmaType": "Coll[SByte]",
"renderedValue": "6ea4cee3abd4f607b629534412e0ea74ae833fa41d54b057e198062c2a8f38d6"
},
"R7": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
}
}
},
{
"boxId": "2e099ec3d81f327fe849e67e9d6ad62bf258c936adcb4598cfeb3fe3bbdbe7e7",
"value": 4000000,
"index": 9,
"spendingProof": "bc25274684ee14d09604bf77a3f8e087d682b8f19431c01359621f8e775540999f0623f5e1b5e3b3b6f0c529911b5ae5ded28dde385f862f",
"outputBlockId": "4f5c32e6c4f6ba29427bf8af8f15f61c76d15f1c5ca385e6ca13aad4ff4b6dcc",
"outputTransactionId": "a7064377fd74cc93421824d3c45da87fc1855fe333c2a0684a64fe496bd97930",
"outputIndex": 2,
"outputGlobalIndex": 38269374,
"outputCreatedAt": 1225870,
"outputSettledAt": 1225878,
"ergoTree": "0008cd03019c95e931b44d66e6d870d120988214c85cd329a7c20a33d56c1ca4aae5f1e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19c95e,47ae87,...)))}",
"address": "9gUWrnaB7dG9CvLhv9A7CYSySmWkrjzWzjBeejzF6cPHF5hVU4W",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 905222,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "8ca01f9727673078a059d9ccd5b4836437abfe4a0f768a6168b47531552aca5a",
"value": 1100000,
"index": 0,
"outputBlockId": "c04955c20e3daa1555aa1b6fef2ae1c55726dadb7b10eba54d96883d05b254c4",
"outputTransactionId": "773363a89f2f3067bf9bbce82a43a22a87e4425d0fce52d3d7bebc9f74da7e95",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAa6eaMgMtHpTTkiF7FcKQaMurTF2iDyZaghSsYuMMLLQKsyFJyygHqSzuvAkokiTjZs2GXiF2JRW9JfXifKAYWSTLrZAHsk9ExH7jiJ5hT7Ex2YDBbRnoyafZ2j282op1wg4T3Yp7rzuihZShM1U96Xx4UF5MqnHJokjnogqjEMjUB1NgQ4Vha9eoHfepW1ULxdm",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
"boxId": "03022e1d893afc60996f3f0adb3de24bfaf073f5d40aa71e81490f8c18000f7d",
"value": 2000000,
"index": 1,
"outputBlockId": "787eccb4184f48697415cb75ad57f3e852014231b11598bd2332ae09a6514b84",
"outputTransactionId": "ec01ee444932421fe980cdde42ffa9237d7b1344bf95383c0441eef5722acd96",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0763617264616e6f",
"sigmaType": "Coll[SByte]",
"renderedValue": "63617264616e6f"
},
"R5": {
"serializedValue": "0512",
"sigmaType": "SLong",
"renderedValue": "9"
}
}
}
],
"outputs": [
{
"boxId": "ba183808b682d42fb5ddef7b5d5615772f34269e83b3a4d14d36254af8924a73",
"transactionId": "ca9150464633dc3db6026f9aec1589aa513a600da8fe6d7fd356db65ec8abfcb",
"blockId": "3235f7d98ca911112694098489e3e4455177f416674da9527da88a524cd21089",
"value": 18000000,
"index": 0,
"globalIndex": 38454093,
"creationHeight": 1228533,
"settlementHeight": 1228537,
"ergoTree": "100f0400040004000400040004000400040004000e2063cf8dd80c22fc4d4c664dc3007a291a2c2770e816a7f7ea2f7d69a99ce850a3040204000e200ca1d31e93b42f9e44e5290e3411aaa2ba67aac158e57916e645612d110729f504140e20c5a029f593a106e1594dda1e5435ae44b347fa4ddf8fa03ccd057afc28b7dd38d804d601e4c6a70704d602b4b5a5d9010263d801d604db63087202ed91b172047300938cb27204730100018cb2db6308a77302000173037201d603c2b2a5730400d604cb7203d19683040193b17202720193e4c6a7040ecbb0ad7202d9010563e4c67205040e830002d901053c0e0eb38c7205018c720502af7202d9010563eded93c272057203938cb2db63087205730500018cb2db6308a773060001938cb2db63087205730700029d8cb2db6308a7730800027e72010595937204730996830201938cb2db6308b2a4730a00730b0001730c9299a3730d8cc7a70196830201aea4d901056393cbc27205730e937204e4c6a7060e",
"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": 9000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2088ce4e45b934b00e89e11372b593efc6196040111c0cdc64e8e06215ed69aa46",
"sigmaType": "Coll[SByte]",
"renderedValue": "88ce4e45b934b00e89e11372b593efc6196040111c0cdc64e8e06215ed69aa46"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[34663535626162373864623431633261623537663462323734303035346138613265363835316635323963383861626532336637336634363430343336636438,63617264616e6f,6572676f,616464723171796378647a6c36756c79386637753333323475753930656a7a7a736b64366e79337370616a74653332396c357132353870767674657039337430,396846784e625138696b664a53717a62464a61456f3645343145515859317a733135317635655268727262514b594d71567855,00000000016c425a,00000000000776c9,0000000000005f8b,616461,30626634376331396534393934346133383934386336333563306165663933643839373337616136386466356164383831623037633866396136336533393864,66623066333661653839656633653730303831306633323337346363613638663135653737646333666630373462343534363561336631643735633364386531,00000000009a20bc]"
},
"R6": {
"serializedValue": "0e20595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "595ffc76c337f76ae8aa1e5c1a4d9f0e35f583dae1f9fdcb516c09c20ac8cf7f"
},
"R7": {
"serializedValue": "0412",
"sigmaType": "SInt",
"renderedValue": "9"
}
},
"spentTransactionId": "2565b184d18ef95078907e49bbdd2cb2745af821ff4c73e70159791b18801435",
"mainChain": true
},
{
"boxId": "4e9376d8be7a5727aa7c4bcf3e1a639db32e3c20316dec920be8559f9f6d825a",
"transactionId": "ca9150464633dc3db6026f9aec1589aa513a600da8fe6d7fd356db65ec8abfcb",
"blockId": "3235f7d98ca911112694098489e3e4455177f416674da9527da88a524cd21089",
"value": 2000000,
"index": 1,
"globalIndex": 38454094,
"creationHeight": 1228533,
"settlementHeight": 1228537,
"ergoTree": "0008cd03019c95e931b44d66e6d870d120988214c85cd329a7c20a33d56c1ca4aae5f1e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19c95e,47ae87,...)))}",
"address": "9gUWrnaB7dG9CvLhv9A7CYSySmWkrjzWzjBeejzF6cPHF5hVU4W",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 905222,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "57ff5b0fe2c0fee7f1479b5061a33afc100ca8084bb5366a62937e64dbb9a213",
"mainChain": true
},
{
"boxId": "0b8d064e21f87073bec420ea53af5ebe045fd0d23e50e45b96a18a6c2ee34182",
"transactionId": "ca9150464633dc3db6026f9aec1589aa513a600da8fe6d7fd356db65ec8abfcb",
"blockId": "3235f7d98ca911112694098489e3e4455177f416674da9527da88a524cd21089",
"value": 2000000,
"index": 2,
"globalIndex": 38454095,
"creationHeight": 1228533,
"settlementHeight": 1228537,
"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": "9a072a8cf3cc10552cfd4531265f17156c34835b762c2eb88600d78c0c88a70e",
"mainChain": true
}
],
"size": 1511,
"isUnconfirmed": false
}