Transaction
ID: f55b47238c...927d
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:
2.64 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.018 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.64 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 559,622
Total coins transferred: 2.66 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001208 ERG
Raw Transaction Data
{
"id": "f55b47238c8efb7613e1fd33bcd170aa2cbe0faa39fae8288b9a2d935b36927d",
"blockId": "2f4ea499504d55af0bdb29428ccf8187bf2e1e538bbd93e533472bf32f4981db",
"inclusionHeight": 1214911,
"timestamp": 1709722941337,
"index": 5,
"globalIndex": 6756368,
"numConfirmations": 559622,
"inputs": [
{
"boxId": "737a211eb43e0c9a3af69b7e44a7e5d2efd2b2af88ef0bf223b34ed002b407f0",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "44975e8d4b5823c344b0b6016837157a217695d12ff52393410cd72c1a73feab",
"outputTransactionId": "7b2e5d3b30f5cd17629c79aca97f9794a66cf0e32431952db6202af13209aefd",
"outputIndex": 1,
"outputGlobalIndex": 37606156,
"outputCreatedAt": 1214308,
"outputSettledAt": 1214310,
"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": "0e20f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103"
},
"R6": {
"serializedValue": "0e206963a7486717e8f3d41111d7d7a9d25b23ebbb549f2d7fdfb84b6db272169fce",
"sigmaType": "Coll[SByte]",
"renderedValue": "6963a7486717e8f3d41111d7d7a9d25b23ebbb549f2d7fdfb84b6db272169fce"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "527e7d98d3a805e80db7d7f5700a34a7670cc5f9e2882e8c25881467d02549da",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "c18d9c895a353ae41bf749445b9b3c57f2ef6caea7281c24498fd07d6d2628c2",
"outputTransactionId": "33388a7669f48dd5f17cf5df8867566ac20d47c7d56325d930e4dcf8cc2109cf",
"outputIndex": 1,
"outputGlobalIndex": 37626461,
"outputCreatedAt": 1214814,
"outputSettledAt": 1214816,
"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": "0e20f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103"
},
"R6": {
"serializedValue": "0e20cbba45ed324811379855a65ba8134393ce9ca2cf230c2a292cdcbeca42a29449",
"sigmaType": "Coll[SByte]",
"renderedValue": "cbba45ed324811379855a65ba8134393ce9ca2cf230c2a292cdcbeca42a29449"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "c7a44629218a8e5743be2af8014897eba69edbc9a0896c839de1b6323afa04a6",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "c18d9c895a353ae41bf749445b9b3c57f2ef6caea7281c24498fd07d6d2628c2",
"outputTransactionId": "3be55d8dbe47e3755d2a0cfd4971125b5de88f9efe8058b60b92cce2ac6c8de5",
"outputIndex": 1,
"outputGlobalIndex": 37626465,
"outputCreatedAt": 1214814,
"outputSettledAt": 1214816,
"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": "0e20f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103"
},
"R6": {
"serializedValue": "0e20a40d1a2420f43f5f9b00d9761feda205abb2e5481fc8fbd24e3c025ece76deb1",
"sigmaType": "Coll[SByte]",
"renderedValue": "a40d1a2420f43f5f9b00d9761feda205abb2e5481fc8fbd24e3c025ece76deb1"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "c010a9f91660dd345bc3e19aea26abce1a3184d6936de7511549cce1e63067cb",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "c18d9c895a353ae41bf749445b9b3c57f2ef6caea7281c24498fd07d6d2628c2",
"outputTransactionId": "934cd13a904dc8fdcad9b6dae6d214639e004a9ab1cf56338dcecdef53c03e4c",
"outputIndex": 1,
"outputGlobalIndex": 37626473,
"outputCreatedAt": 1214814,
"outputSettledAt": 1214816,
"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": "0e20f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103"
},
"R6": {
"serializedValue": "0e20050d56bb1f21283e31231f0bd764c7e2f82aa5c905941b7cca8f3819cf7f53c0",
"sigmaType": "Coll[SByte]",
"renderedValue": "050d56bb1f21283e31231f0bd764c7e2f82aa5c905941b7cca8f3819cf7f53c0"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "e741ecceafdac6c9d38064cacf6c9817bfbe85af2a62307825e390443de155a9",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "c18d9c895a353ae41bf749445b9b3c57f2ef6caea7281c24498fd07d6d2628c2",
"outputTransactionId": "ba10b9205d1466ef8c85f3b91b63a818503caee87b33297238250c1c971b347d",
"outputIndex": 1,
"outputGlobalIndex": 37626477,
"outputCreatedAt": 1214814,
"outputSettledAt": 1214816,
"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": "0e20f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103"
},
"R6": {
"serializedValue": "0e20eada9b36c41f201f865bd44e82d8e6cacf28bbed7ac2d3b1c1b4b1edba8d3a76",
"sigmaType": "Coll[SByte]",
"renderedValue": "eada9b36c41f201f865bd44e82d8e6cacf28bbed7ac2d3b1c1b4b1edba8d3a76"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "b9c13ccdc6812f801ade52f6b1e2bef812941262e4e1a375b261646e7b8521da",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "c18d9c895a353ae41bf749445b9b3c57f2ef6caea7281c24498fd07d6d2628c2",
"outputTransactionId": "cc3549797497916aba62d62dbdc13abb97777377b2bd80716e81d5f4a5fcc9b4",
"outputIndex": 1,
"outputGlobalIndex": 37626481,
"outputCreatedAt": 1214814,
"outputSettledAt": 1214816,
"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": "0e20f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103"
},
"R6": {
"serializedValue": "0e20c3cc148f473b533424bf3b765a52f8a524bc52c4072054a428fbbd43af0bf373",
"sigmaType": "Coll[SByte]",
"renderedValue": "c3cc148f473b533424bf3b765a52f8a524bc52c4072054a428fbbd43af0bf373"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "c6e196054cb26a51b1b21540b8b9b92d4516d219b3402becc30eceec286e84b2",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "c18d9c895a353ae41bf749445b9b3c57f2ef6caea7281c24498fd07d6d2628c2",
"outputTransactionId": "cde1d7a652402a81cc58aa8af500b5831cca4621824d86bac9e0d669d52933d7",
"outputIndex": 1,
"outputGlobalIndex": 37626485,
"outputCreatedAt": 1214814,
"outputSettledAt": 1214816,
"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": "0e20f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103"
},
"R6": {
"serializedValue": "0e207c31429ea313749766085b85072e39306271d50487cf49464cb65ea1b8fbdd74",
"sigmaType": "Coll[SByte]",
"renderedValue": "7c31429ea313749766085b85072e39306271d50487cf49464cb65ea1b8fbdd74"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "ae6cfdb0039b49e822885b075842ccc685f2f49ed3e35aafbe9c5611904a0ca2",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "c18d9c895a353ae41bf749445b9b3c57f2ef6caea7281c24498fd07d6d2628c2",
"outputTransactionId": "ce681282b454f9a963c3b2e1a42ccda56b0593c0becd5fd4535548ea97bae11b",
"outputIndex": 1,
"outputGlobalIndex": 37626489,
"outputCreatedAt": 1214814,
"outputSettledAt": 1214816,
"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}",
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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": "0e20f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103"
},
"R6": {
"serializedValue": "0e2028c9a378bdca9b666dc5d0eb1ab23ad60659c04c3cb64114978f5aefa20f3b87",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c9a378bdca9b666dc5d0eb1ab23ad60659c04c3cb64114978f5aefa20f3b87"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "36d1b4d07052fefdc41d22622e94cc34d27c119144d2c4c34c34a5f1ae10a024",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "a056952265a4838cc5d350a15c7c49231112c129f26fdba8f0ae13dff8ac0df9",
"outputTransactionId": "4468ea5128d644ddebee8f81518b989a13f8459cdee3c2d325fb6d5647e17e16",
"outputIndex": 1,
"outputGlobalIndex": 37631216,
"outputCreatedAt": 1214905,
"outputSettledAt": 1214908,
"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": "0e20f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3af15ce4a7932ff6cbed6768cb6c20fffed3bb7737246845d83f19b07b7d103"
},
"R6": {
"serializedValue": "0e2082312f6ab8039205fc0c9b1bf529348e879bc58eee8a2882d1838388d07f09f8",
"sigmaType": "Coll[SByte]",
"renderedValue": "82312f6ab8039205fc0c9b1bf529348e879bc58eee8a2882d1838388d07f09f8"
},
"R7": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
}
}
},
{
"boxId": "b83c14ed1d5e9fe2cf4a6521568f8b4a5077342cad5e452d2f7fbc091bdd5fc5",
"value": 2642340000,
"index": 9,
"spendingProof": "b65018e76ab8a688173e5426ab0c93b2f783df1c3e33d90c6943c95c421e31caccb017d90e7f77f977b5e53559a6080381162793dfd07250",
"outputBlockId": "2f4ea499504d55af0bdb29428ccf8187bf2e1e538bbd93e533472bf32f4981db",
"outputTransactionId": "27bde8ca6807bc2b49561e6c6d95001445f805135acd2d2ccc1cd6f521ef57a1",
"outputIndex": 1,
"outputGlobalIndex": 37631393,
"outputCreatedAt": 1214908,
"outputSettledAt": 1214911,
"ergoTree": "0008cd03f2dd57246bd7bc772904cffd122d2d53e30659524d778ce7bb41424160ad266b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f2dd57,d07387,...)))}",
"address": "9iJmLnd1JUKdm9RNrANHM91E8gWzU92g92ArMi8DxtJnxEnnCdf",
"assets": [
{
"tokenId": "59e7517c4e998a5494a09996e33302d4365ff06fdf21d5654d3a315a73bbebf9",
"index": 0,
"amount": 3,
"name": "WID-bebf9-xEnnCdf",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 2002185512,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 2,
"amount": 18090070080,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "0fdb7ff8b37479b6eb7aab38d45af2cfeefabbefdc7eebc0348d25dd65bc2c91",
"index": 3,
"amount": 69,
"name": "$Lambo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "db6dc2e82fe45bcd43f92386a12df41bef815ef6713267754ff3043e48b3f43e",
"index": 4,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"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": "1026040004000e20abde6d2b51f6e8b85f3040ecccb3087531f0773a6a1d3faaeef043e10390f3eb010104020402040604060404040404000404040204000e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d9220502040604000400040a0502050604000e20cf1eba4c44e4a351a06abd0fd88fee2c30faaca8b3dc2d69e9993bc3f3040a2f04080400050004020101040004020404040204000402050205020400d805d601b2a5730000d602db63087201d603b27202730100d6048c720301d6057302959372047205d17303d812d606db6308a7d607b27206730400d6088c720702d609b27202730500d60a8c720902d60bb27206730600d60c8c720b02d60db27202730700d60e8c720d02d60fb27202730800d6108c720f02d611b27206730900d6128c721102d6138c720701d614b27206730a00d6158c721101d6168c720b01d6179683080193c27201c2a792c17201c1a79372048c721401938c7203028c721402938c7209017213938c720f017215938c720d01721693e4c67201040ee4c6a7040e95917208720ad805d618b2a5730b00d619b2a5730c00d61a997208720ad61bb2db63087218730d00d61c96830501721793721a9972107212938c721b02721a938c721b01721393cbc27218730e9593720e99720c730fd806d61dc5a7d61eb2db6308b2a5731000731100d61fb2db6501fe731200d620e4c6721f0411d621db63087219d622b27220731300d196830c0193e4c6720105059ae4c6a705057314721c93e4c67218040e721d938c721e01721d928c721e027315938cb2db6308721f73160001720593cbc27219731793e4c67219040e721d92c17219b2722073180093e4c672190505721a938cb2722173190001721695917222731ad801d623b27221731b0096830201938c7223017215928c7223027222731cd196830601721c93e4c67218040ee4c67219040e93720e720c93e4c672010505e4c6a70505938cb2db63087219731d00017216939ae4c6b2a4731e000505721ae4c672190505d804d618b2a4731f00d619b2a4732000d61a99720a7208d61be4c672190505d196830601721793e4c67218040ee4c67219040e938cb2db6308721873210001721393721a99721272109591721b721a9683030193720c720e93e4c672010505e4c6a705059399721b721ae4c6b2a573220005059683020193720e9a720c732393e4c67201050599e4c6a705057324938cb2db63087219732500017216",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0763617264616e6f",
"sigmaType": "Coll[SByte]",
"renderedValue": "63617264616e6f"
},
"R5": {
"serializedValue": "0514",
"sigmaType": "SLong",
"renderedValue": "10"
}
}
}
],
"outputs": [
{
"boxId": "87d2b3b1cc4d0d94dfddc45baa61e9028ef408c652d9a1000a5bb065804e83f6",
"transactionId": "f55b47238c8efb7613e1fd33bcd170aa2cbe0faa39fae8288b9a2d935b36927d",
"blockId": "2f4ea499504d55af0bdb29428ccf8187bf2e1e538bbd93e533472bf32f4981db",
"value": 18000000,
"index": 0,
"globalIndex": 37631395,
"creationHeight": 1214908,
"settlementHeight": 1214911,
"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": 9000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200c019195de49a05a451274bd13f721adb6ce920fdb0e02e5afccd04cc50bef35",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c019195de49a05a451274bd13f721adb6ce920fdb0e02e5afccd04cc50bef35"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[31346438663730353437313731333163396539346435373164326639306333373936353435303966626335643462393730343966623738656365333866623762,63617264616e6f,6572676f,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,00000000018849c6,00000000000776c9,0000000000005f8b,616461,30626634376331396534393934346133383934386336333563306165663933643839373337616136386466356164383831623037633866396136336533393864,36336263623033383630306435626534306563623762303266363364343231623236663365353463386634646466373766373765373435636537366438393165,000000000098d973]"
},
"R6": {
"serializedValue": "0e2030e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922",
"sigmaType": "Coll[SByte]",
"renderedValue": "30e7fb1b35de5521ee4cef8c78665178249372d5e7fe6ebf687b3f2ab3e9d922"
},
"R7": {
"serializedValue": "0412",
"sigmaType": "SInt",
"renderedValue": "9"
}
},
"spentTransactionId": "c9055c0910ff7bdec9e5d9310c0230e23be85da18427c3069abca562b8211134",
"mainChain": true
},
{
"boxId": "df4fcc989bc4dcb4c086b8e506c4415cac1a3ce86ba94ec4accf2435b128ab48",
"transactionId": "f55b47238c8efb7613e1fd33bcd170aa2cbe0faa39fae8288b9a2d935b36927d",
"blockId": "2f4ea499504d55af0bdb29428ccf8187bf2e1e538bbd93e533472bf32f4981db",
"value": 2640340000,
"index": 1,
"globalIndex": 37631396,
"creationHeight": 1214908,
"settlementHeight": 1214911,
"ergoTree": "0008cd03f2dd57246bd7bc772904cffd122d2d53e30659524d778ce7bb41424160ad266b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f2dd57,d07387,...)))}",
"address": "9iJmLnd1JUKdm9RNrANHM91E8gWzU92g92ArMi8DxtJnxEnnCdf",
"assets": [
{
"tokenId": "59e7517c4e998a5494a09996e33302d4365ff06fdf21d5654d3a315a73bbebf9",
"index": 0,
"amount": 3,
"name": "WID-bebf9-xEnnCdf",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 2002185512,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 2,
"amount": 18090070080,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "0fdb7ff8b37479b6eb7aab38d45af2cfeefabbefdc7eebc0348d25dd65bc2c91",
"index": 3,
"amount": 69,
"name": "$Lambo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "db6dc2e82fe45bcd43f92386a12df41bef815ef6713267754ff3043e48b3f43e",
"index": 4,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {},
"spentTransactionId": "476587eb6678eff73425b80c7f32ba8b8b49bda9f704383e26b74f8fb94669fd",
"mainChain": true
},
{
"boxId": "7f78c3592e7d9a1c0801b98f653a701b90001e3883326215618d97189fd230b5",
"transactionId": "f55b47238c8efb7613e1fd33bcd170aa2cbe0faa39fae8288b9a2d935b36927d",
"blockId": "2f4ea499504d55af0bdb29428ccf8187bf2e1e538bbd93e533472bf32f4981db",
"value": 2000000,
"index": 2,
"globalIndex": 37631397,
"creationHeight": 1214908,
"settlementHeight": 1214911,
"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": "c79cafe6d675aa089329c0509f9d9f0d3c84832dfeca3e5914fa96a51bb2eb1f",
"mainChain": true
}
],
"size": 1656,
"isUnconfirmed": false
}