Transaction
ID: e48a62b0e9...92d5
Inputs (11)
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:
0.0842 ERG
Tokens:
2,001,423.50
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.02 ERG
Tokens:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0822 ERG
Tokens:
2,001,423.50
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 551,488
Total coins transferred: 0.1042 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000128 ERG
Raw Transaction Data
{
"id": "e48a62b0e9b517148c0e01b527b9a4a7412ef359beb83d39903eb1a4ca5592d5",
"blockId": "872afafe348a616369c993e2b361859b402a959c6ac71158e76a755c1f5a3442",
"inclusionHeight": 1218409,
"timestamp": 1710145847113,
"index": 13,
"globalIndex": 6797493,
"numConfirmations": 551488,
"inputs": [
{
"boxId": "5358a992a3d4d4005656bcfc082e212fb4f3d7ea601bd81e386efdf382ade07a",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3947e94cd6ba8c15915ee1736d620467c324d4dad74214bdd79d52efa26e01a2",
"outputTransactionId": "13acbc26e9607665549e96c9067c677e86a49028895c657c0a2a59b91a1f5f5f",
"outputIndex": 1,
"outputGlobalIndex": 37846459,
"outputCreatedAt": 1218380,
"outputSettledAt": 1218384,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(61,-112,-16,67,-6,-19,-91,54,112,-95,-53,-32,18,-105,110,94,26,3,-17,31,-88,13,35,-120,70,79,-53,-12,59,74,-82,119)\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": "0e20b3de356ceacb7e8dd9fbb2c06b55195f7390eef6a3c438ac374e18fcb67f7550",
"sigmaType": "Coll[SByte]",
"renderedValue": "b3de356ceacb7e8dd9fbb2c06b55195f7390eef6a3c438ac374e18fcb67f7550"
},
"R5": {
"serializedValue": "0e200e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586"
},
"R6": {
"serializedValue": "0e20959ddafcd74cb04bb8b62906a43fe49825f5c2b195a9281685e82d723c91ac84",
"sigmaType": "Coll[SByte]",
"renderedValue": "959ddafcd74cb04bb8b62906a43fe49825f5c2b195a9281685e82d723c91ac84"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "be7160a463ccd89227ed3bd1cec0e4555d70d0f6f3803b996aa98fd0b0e6229a",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "3947e94cd6ba8c15915ee1736d620467c324d4dad74214bdd79d52efa26e01a2",
"outputTransactionId": "62ccaa87ac649ce0f494fd82b126df1c9dc8502580ba872b6460b8c836a75410",
"outputIndex": 1,
"outputGlobalIndex": 37846463,
"outputCreatedAt": 1218380,
"outputSettledAt": 1218384,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(61,-112,-16,67,-6,-19,-91,54,112,-95,-53,-32,18,-105,110,94,26,3,-17,31,-88,13,35,-120,70,79,-53,-12,59,74,-82,119)\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": "0e20f4099adbf561ec02b219a87107455218436ac60d2b9d88ebf7cf31d6bcdf2505",
"sigmaType": "Coll[SByte]",
"renderedValue": "f4099adbf561ec02b219a87107455218436ac60d2b9d88ebf7cf31d6bcdf2505"
},
"R5": {
"serializedValue": "0e200e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586"
},
"R6": {
"serializedValue": "0e2049639d762424f106f83036a29fda6b935db3546b82a406ac0f55ccb3a6ee091c",
"sigmaType": "Coll[SByte]",
"renderedValue": "49639d762424f106f83036a29fda6b935db3546b82a406ac0f55ccb3a6ee091c"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "e4f35e5f4026d668c0e94b78eaeea995225f1140b6cfae891076f05e28efb5f1",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "3947e94cd6ba8c15915ee1736d620467c324d4dad74214bdd79d52efa26e01a2",
"outputTransactionId": "6374b558966d9df88dcbf8f2b95d53ceb0243fcd1868a1769fed718566993a04",
"outputIndex": 1,
"outputGlobalIndex": 37846467,
"outputCreatedAt": 1218380,
"outputSettledAt": 1218384,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(61,-112,-16,67,-6,-19,-91,54,112,-95,-53,-32,18,-105,110,94,26,3,-17,31,-88,13,35,-120,70,79,-53,-12,59,74,-82,119)\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": "0e20f8f59ae490f7413b49ee9d83038e0bbd9104b9ab1952a7e575049aafd15868fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "f8f59ae490f7413b49ee9d83038e0bbd9104b9ab1952a7e575049aafd15868fb"
},
"R5": {
"serializedValue": "0e200e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586"
},
"R6": {
"serializedValue": "0e20e4092cab798c8fb70370228510338feb04dc54cd7f231f7c96530553d87c0bd1",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4092cab798c8fb70370228510338feb04dc54cd7f231f7c96530553d87c0bd1"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "aab938be172ad1c76e7f229f24b6b92bb9c0cd01fe9430e90b98ec6ac1eeaf24",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "3947e94cd6ba8c15915ee1736d620467c324d4dad74214bdd79d52efa26e01a2",
"outputTransactionId": "694304a71a9cddfce3e6a6331447b661f0c645c92e500610ce93c5660d034c2d",
"outputIndex": 1,
"outputGlobalIndex": 37846471,
"outputCreatedAt": 1218380,
"outputSettledAt": 1218384,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(61,-112,-16,67,-6,-19,-91,54,112,-95,-53,-32,18,-105,110,94,26,3,-17,31,-88,13,35,-120,70,79,-53,-12,59,74,-82,119)\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": "0e2059e7517c4e998a5494a09996e33302d4365ff06fdf21d5654d3a315a73bbebf9",
"sigmaType": "Coll[SByte]",
"renderedValue": "59e7517c4e998a5494a09996e33302d4365ff06fdf21d5654d3a315a73bbebf9"
},
"R5": {
"serializedValue": "0e200e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586"
},
"R6": {
"serializedValue": "0e205e000786bf5a81e4f85e51916547504dcbb4ce5ede4ba1e16c1cd03d721899ba",
"sigmaType": "Coll[SByte]",
"renderedValue": "5e000786bf5a81e4f85e51916547504dcbb4ce5ede4ba1e16c1cd03d721899ba"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "24b134173ea4a82d143a563d210abd438f074e8d7799af5df772ebf93e52b08e",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "3947e94cd6ba8c15915ee1736d620467c324d4dad74214bdd79d52efa26e01a2",
"outputTransactionId": "da277955cf8262ff3b6e225e73f3b729fecc5f12b2824ecffb476ddde6ef3377",
"outputIndex": 1,
"outputGlobalIndex": 37846475,
"outputCreatedAt": 1218380,
"outputSettledAt": 1218384,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(61,-112,-16,67,-6,-19,-91,54,112,-95,-53,-32,18,-105,110,94,26,3,-17,31,-88,13,35,-120,70,79,-53,-12,59,74,-82,119)\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": "0e20c44b1784de33690bb22239c02f749ea584514093435c9eb983e88366f3600c83",
"sigmaType": "Coll[SByte]",
"renderedValue": "c44b1784de33690bb22239c02f749ea584514093435c9eb983e88366f3600c83"
},
"R5": {
"serializedValue": "0e200e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586"
},
"R6": {
"serializedValue": "0e2050730c8b620b7ce9668e83589da89f1b43b2218cbcbe9e09fe63f75813a9f4f2",
"sigmaType": "Coll[SByte]",
"renderedValue": "50730c8b620b7ce9668e83589da89f1b43b2218cbcbe9e09fe63f75813a9f4f2"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "98f7e91ee055cb7d4b0c5b3939494f6ed3a9988afbd03a115021c35b13e2005b",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "3947e94cd6ba8c15915ee1736d620467c324d4dad74214bdd79d52efa26e01a2",
"outputTransactionId": "ed1e8d13b02dd05722fe388ed64535990e933973f6b3714582ef7e8effac084d",
"outputIndex": 1,
"outputGlobalIndex": 37846479,
"outputCreatedAt": 1218380,
"outputSettledAt": 1218384,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(61,-112,-16,67,-6,-19,-91,54,112,-95,-53,-32,18,-105,110,94,26,3,-17,31,-88,13,35,-120,70,79,-53,-12,59,74,-82,119)\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": "0e2012152cda64e17a0a873a1d3ee0fbb73b9398cc31d1f6c03f13e7359a7eab4480",
"sigmaType": "Coll[SByte]",
"renderedValue": "12152cda64e17a0a873a1d3ee0fbb73b9398cc31d1f6c03f13e7359a7eab4480"
},
"R5": {
"serializedValue": "0e200e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586"
},
"R6": {
"serializedValue": "0e20bcd2430e70edb7f65c15c7b3075e5446d9c579257d210ba373dca1efe89f11d1",
"sigmaType": "Coll[SByte]",
"renderedValue": "bcd2430e70edb7f65c15c7b3075e5446d9c579257d210ba373dca1efe89f11d1"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "38adee988109abbe5824d91e2d6ba21a57bc63003a34feecb36897dbe96f2412",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "3947e94cd6ba8c15915ee1736d620467c324d4dad74214bdd79d52efa26e01a2",
"outputTransactionId": "f5149072bcbca25ac98fbaee2259714958cbf2e30cd8f47eeccf727342f7ae93",
"outputIndex": 1,
"outputGlobalIndex": 37846483,
"outputCreatedAt": 1218380,
"outputSettledAt": 1218384,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(61,-112,-16,67,-6,-19,-91,54,112,-95,-53,-32,18,-105,110,94,26,3,-17,31,-88,13,35,-120,70,79,-53,-12,59,74,-82,119)\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": "0e20e162c76932f074a8daf3130691ebfc87e6943a1acb4073ef5c1a21bb7db6b60b",
"sigmaType": "Coll[SByte]",
"renderedValue": "e162c76932f074a8daf3130691ebfc87e6943a1acb4073ef5c1a21bb7db6b60b"
},
"R5": {
"serializedValue": "0e200e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586"
},
"R6": {
"serializedValue": "0e2017c42f05a4b1ef539b0929d4e0bd6870eaa2f5a5bfa9c32496a2d6ae20e5bc7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "17c42f05a4b1ef539b0929d4e0bd6870eaa2f5a5bfa9c32496a2d6ae20e5bc7f"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "c38fdf4f5d0c932c6549bf84b8787d1f3aed7539db2b002afce364f367a65ad0",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "e8e8f9a0e72750ad641188d5b11f3a60275015f18cc3706cee1396db2a280243",
"outputTransactionId": "1d78eeee699c6499d3595f7d6feb46078ddb75557f2c4299cccd05196f640910",
"outputIndex": 1,
"outputGlobalIndex": 37846956,
"outputCreatedAt": 1218397,
"outputSettledAt": 1218400,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(61,-112,-16,67,-6,-19,-91,54,112,-95,-53,-32,18,-105,110,94,26,3,-17,31,-88,13,35,-120,70,79,-53,-12,59,74,-82,119)\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": "0e205f241e955838859ba4023a004fdef6150211abd8f1e0f91fa57e827a4807b3e1",
"sigmaType": "Coll[SByte]",
"renderedValue": "5f241e955838859ba4023a004fdef6150211abd8f1e0f91fa57e827a4807b3e1"
},
"R5": {
"serializedValue": "0e200e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586"
},
"R6": {
"serializedValue": "0e2059023ace24c4172a585746fa8b39b7332f704821d184e92c2d89042e76afc818",
"sigmaType": "Coll[SByte]",
"renderedValue": "59023ace24c4172a585746fa8b39b7332f704821d184e92c2d89042e76afc818"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "e4e72eaed6c3deb74c1c82cec311c3d89b91a73d9072a8fa102d558d7bbbd50a",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "7f48b392bfcfc06eceecebddcfabe66567d4bbefd714539603fcf73679911f5f",
"outputTransactionId": "27d3fddd15862bb9d6c0e272eb567811afa461f0c1fc2cd5b7b4a2b841d87ae9",
"outputIndex": 1,
"outputGlobalIndex": 37847262,
"outputCreatedAt": 1218398,
"outputSettledAt": 1218406,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(61,-112,-16,67,-6,-19,-91,54,112,-95,-53,-32,18,-105,110,94,26,3,-17,31,-88,13,35,-120,70,79,-53,-12,59,74,-82,119)\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": "0e20c1dbc28c53d6172441a4b4c38dd5c76f07daf63f661a33a34f645ad01ed5f7c4",
"sigmaType": "Coll[SByte]",
"renderedValue": "c1dbc28c53d6172441a4b4c38dd5c76f07daf63f661a33a34f645ad01ed5f7c4"
},
"R5": {
"serializedValue": "0e200e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586"
},
"R6": {
"serializedValue": "0e2032d7cdff7d865e86af95354e7cd45914fa6d079f3e6b61094f71684768f6a2a0",
"sigmaType": "Coll[SByte]",
"renderedValue": "32d7cdff7d865e86af95354e7cd45914fa6d079f3e6b61094f71684768f6a2a0"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "40d8aa181c3d8f07ea0cd5ef81261998889fc48bab6867e1531b8f91512e6355",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "7f48b392bfcfc06eceecebddcfabe66567d4bbefd714539603fcf73679911f5f",
"outputTransactionId": "ec9a89e5e95be512f0dc859f45a802f350afab946cecdc50fa4a76d676c8a87c",
"outputIndex": 1,
"outputGlobalIndex": 37847266,
"outputCreatedAt": 1218398,
"outputSettledAt": 1218406,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(61,-112,-16,67,-6,-19,-91,54,112,-95,-53,-32,18,-105,110,94,26,3,-17,31,-88,13,35,-120,70,79,-53,-12,59,74,-82,119)\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": "0e205ee834f188f63920b019411be21df4a16eaa12ed1630e7a8002b2b6f8428e740",
"sigmaType": "Coll[SByte]",
"renderedValue": "5ee834f188f63920b019411be21df4a16eaa12ed1630e7a8002b2b6f8428e740"
},
"R5": {
"serializedValue": "0e200e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e653c2d9173036717ddfc7430cc7c4cdff739293085ecef082e249819424586"
},
"R6": {
"serializedValue": "0e2006e1aaed2c3477ea08ce0eedc4a2a2f706538f19067cf4ab521e90f5ea556727",
"sigmaType": "Coll[SByte]",
"renderedValue": "06e1aaed2c3477ea08ce0eedc4a2a2f706538f19067cf4ab521e90f5ea556727"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
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},
{
"boxId": "7fb864ac9b95f36fbcbaba8ad7df9209471e6bf33f63e7646db912f6e29d1eaf",
"value": 84200000,
"index": 10,
"spendingProof": "058ebb0ae1c3268c3d35899f108256f50e28cbad2dea7864516340f82a6fe3f367753fbda7862ab6e09a9489c9c704758b8a90b8ff97c5c2",
"outputBlockId": "1322bb450c8c571ad70968f080bf1e60c08f28374f1718d2bafcaba2d5fb9b2f",
"outputTransactionId": "2d26235d1821b7344bd394f6cd935ef1ac2dbcdf95856139a944685d574e270f",
"outputIndex": 1,
"outputGlobalIndex": 37847319,
"outputCreatedAt": 1218405,
"outputSettledAt": 1218408,
"ergoTree": "0008cd03d72a6a62aa181efc2e9328275ddb1a97dfa3b0dd4fa8e61aa9ebcb9f4b1d6113",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d72a6a,353379,...)))}",
"address": "9i6ZowRVZQKAydZEydrXNBpMyA2nqX4PE6WF5wEenSd3X1n6Yi8",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 2001423500,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "7ea2ed9f4cb1218e096ce9948a3f78910481de9962f873c315152b8a02304674",
"value": 1100000,
"index": 0,
"outputBlockId": "23b54a9b1ee8ee79c752cdb7ac47a337109cbfb273d798999b7a1f593bf4e3f6",
"outputTransactionId": "a65bdc2552c32b2f3a3fd8cc52112b572bb6f97f4d61e356ab1378381636d52b",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAa6eaMgMtHpTTkiF7FcKQaMurTF2iDyZaghSsYuMMLLQKsyFJyygHqSzuvAkokiTjZs2GXiF2JRW9JfXifKAYWSTLrZAHsk9ExH7jiJ5hT7Ex2YDBbRnoyafZ2j282op1wg4T3Yp7rzuihZShM1U96Xx4UF5MqnHJokjnogqjEMjUB1NgQ4Vha9eoHfepW1ULxdm",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f8c01022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,70,1,20,10000000,1000]"
}
}
},
{
"boxId": "72b94339daa43b44a9cd772c2955b7cd49dabcbed743257880bc44c1433bc320",
"value": 2000000,
"index": 1,
"outputBlockId": "9fc6d6797316bf998df66c3655ea78972de2bcc42e8b3d13e801bc6d6eeee6d2",
"outputTransactionId": "39d524e3a55d380e65a5556047acbc428deef5a96562db75774523e468fa2907",
"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": "d434a43da4d29f686774f59625f92822dda8af804798a66390bf307af81cdf61",
"transactionId": "e48a62b0e9b517148c0e01b527b9a4a7412ef359beb83d39903eb1a4ca5592d5",
"blockId": "872afafe348a616369c993e2b361859b402a959c6ac71158e76a755c1f5a3442",
"value": 20000000,
"index": 0,
"globalIndex": 37847367,
"creationHeight": 1218407,
"settlementHeight": 1218409,
"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: 7200\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": "0e2083c72d2f086eef6a191b17cf4ba231a3b12a19ffc02e0470447cfc03df67f630",
"sigmaType": "Coll[SByte]",
"renderedValue": "83c72d2f086eef6a191b17cf4ba231a3b12a19ffc02e0470447cfc03df67f630"
},
"R5": {
"serializedValue": "1a0c40373033643430313733326630333534656134363833366330346666646166363538643633366365306630316665363638393634393536386365376430643034300763617264616e6f046572676f4061646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a72743833396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463080000000103eaf3c408000000000865200f0800000000006b74ce4d66636135386566386261396566313936316531333262363131646532663861626364326633343833316536313561366638306335626234382e373737323435353234373264366336663635366503657267406436303437316433306633613831363931303434363566383661306634323132353734353430336666626432386436626364623639643430616561313937363408000000000099380b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[37303364343031373332663033353465613436383336633034666664616636353864363336636530663031666536363839363439353638636537643064303430,63617264616e6f,6572676f,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,0000000103eaf3c4,000000000865200f,00000000006b74ce,66636135386566386261396566313936316531333262363131646532663861626364326633343833316536313561366638306335626234382e3737373234353532343732643663366636353665,657267,64363034373164333066336138313639313034343635663836613066343231323537343534303366666264323864366263646236396434306165613139373634,000000000099380b]"
},
"R6": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "f0faaf0524941cd9151bb659d3aec226580f8135302dab5faa79882033b9b182",
"mainChain": true
},
{
"boxId": "d19d8f915408c6aaf03f6010ab445395ae954b02054d2d98b9a814f3260b2cb6",
"transactionId": "e48a62b0e9b517148c0e01b527b9a4a7412ef359beb83d39903eb1a4ca5592d5",
"blockId": "872afafe348a616369c993e2b361859b402a959c6ac71158e76a755c1f5a3442",
"value": 82200000,
"index": 1,
"globalIndex": 37847368,
"creationHeight": 1218407,
"settlementHeight": 1218409,
"ergoTree": "0008cd03d72a6a62aa181efc2e9328275ddb1a97dfa3b0dd4fa8e61aa9ebcb9f4b1d6113",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d72a6a,353379,...)))}",
"address": "9i6ZowRVZQKAydZEydrXNBpMyA2nqX4PE6WF5wEenSd3X1n6Yi8",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 2001423500,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "b79a91854bfeaae998686f75424cb18147ad8143683742d69b62e213e46ed647",
"mainChain": true
},
{
"boxId": "2d6f9a94e441bf71dd378859fa675e51189096d06817e63101825348234d77b9",
"transactionId": "e48a62b0e9b517148c0e01b527b9a4a7412ef359beb83d39903eb1a4ca5592d5",
"blockId": "872afafe348a616369c993e2b361859b402a959c6ac71158e76a755c1f5a3442",
"value": 2000000,
"index": 2,
"globalIndex": 37847369,
"creationHeight": 1218407,
"settlementHeight": 1218409,
"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": "92cf6c4b5d42e08e5869ba88add4849eae15d2ddb56fdfa3c2a1a33df7ef7000",
"mainChain": true
}
],
"size": 1562,
"isUnconfirmed": false
}