Transaction
ID: fffc834689...ce15
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1,899
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.02 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1,899.83
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 496,400
Total coins transferred: 0.024 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001219 ERG
Raw Transaction Data
{
"id": "fffc8346890f08a0a274b409cf7c317b54909d701b87448fe4e6a14f3983ce15",
"blockId": "31531bdbf1b3157dd2633bc82b24af6bf4b3969af3d98ebe62c911804a44c2d6",
"inclusionHeight": 1277677,
"timestamp": 1717314141673,
"index": 11,
"globalIndex": 7290298,
"numConfirmations": 496400,
"inputs": [
{
"boxId": "003b1884ed29f7420b7948a6c59ea7d5d1c2870c4ab72a39035fba7ba1847b12",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "907cfe661a12e9efcd76aeb6a63e7b11dca4588a17eb08bdd092cb50b2188039",
"outputTransactionId": "d0db3506f5fc87838bf63a009c042f9775b164b8f98c53d9593eb983b326aa86",
"outputIndex": 1,
"outputGlobalIndex": 40515735,
"outputCreatedAt": 1277663,
"outputSettledAt": 1277668,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e226eef85d2239163b303451e520f1f6a325d108097c5228e85c8ee3d2693bbb",
"sigmaType": "Coll[SByte]",
"renderedValue": "e226eef85d2239163b303451e520f1f6a325d108097c5228e85c8ee3d2693bbb"
},
"R5": {
"serializedValue": "0e203199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253",
"sigmaType": "Coll[SByte]",
"renderedValue": "3199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253"
},
"R6": {
"serializedValue": "0e2060a8a2fe477430548ab59368086f4c9783645cd9f636c654a8743d51c589c5b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "60a8a2fe477430548ab59368086f4c9783645cd9f636c654a8743d51c589c5b1"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
}
}
},
{
"boxId": "cbbed033835734c07e7af233fa06675321b4fda6369e8e1af7dc7f83c817b7df",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "6fa4ab1a61631315f9a4218c08f3b8fe3cde256321282b59229e235ae07248d4",
"outputTransactionId": "63a9cdc57af83a9223ad78f9809cbfda6fd4efa8ebab49ff0700e723467125a9",
"outputIndex": 1,
"outputGlobalIndex": 40515760,
"outputCreatedAt": 1277666,
"outputSettledAt": 1277669,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ba77b4351bcd232bd2bff9ec101db1212896bb2d28bf09f3b9da1fec4515de57",
"sigmaType": "Coll[SByte]",
"renderedValue": "ba77b4351bcd232bd2bff9ec101db1212896bb2d28bf09f3b9da1fec4515de57"
},
"R5": {
"serializedValue": "0e203199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253",
"sigmaType": "Coll[SByte]",
"renderedValue": "3199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253"
},
"R6": {
"serializedValue": "0e20b2d0fe0dcd1ab8592b9c3c734202e59a9587a2f154c06f157613b46535a417c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "b2d0fe0dcd1ab8592b9c3c734202e59a9587a2f154c06f157613b46535a417c6"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
}
}
},
{
"boxId": "81b94cd8d922853d430bb110ff753163546d4aa8a500c326a5237ab1748a11d5",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "6fa4ab1a61631315f9a4218c08f3b8fe3cde256321282b59229e235ae07248d4",
"outputTransactionId": "c087491e8281e0ab5bbc45ffe1eede2a00b49b970d0e9a3f8ea03850fe89d6b3",
"outputIndex": 1,
"outputGlobalIndex": 40515765,
"outputCreatedAt": 1277666,
"outputSettledAt": 1277669,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206d775cf49a79e862a605e8ec644fcd44a56e5c5f8333e732c7184f89aba796b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "6d775cf49a79e862a605e8ec644fcd44a56e5c5f8333e732c7184f89aba796b1"
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"R5": {
"serializedValue": "0e203199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253",
"sigmaType": "Coll[SByte]",
"renderedValue": "3199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253"
},
"R6": {
"serializedValue": "0e207d12432eeda6a3bf183fb9d4a665176bdc60a1c7406accd243a0d14ad3357c38",
"sigmaType": "Coll[SByte]",
"renderedValue": "7d12432eeda6a3bf183fb9d4a665176bdc60a1c7406accd243a0d14ad3357c38"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
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},
{
"boxId": "5407de86ed169db9eb431256fcb9b84bc3b2f2f88de718f0d74c67a169f25a42",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "6ae5cda33495a16d1bd9b5bef010f2d84ba65ed3e233b5e76d557bc64e061cf0",
"outputTransactionId": "ad57bfa167a45f8811e4d30a926847fb9e3b265a135770f30baad3c586447a6f",
"outputIndex": 1,
"outputGlobalIndex": 40515773,
"outputCreatedAt": 1277666,
"outputSettledAt": 1277670,
"ergoTree": "102404000e205c9f6cde5b6f0e39b385658b25e07e9bf6c669def72c92f82af22bc1fa61bb88040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e201c589bcb108a4408e65ef1d68766b102b7c2dedc11161c618e413225110ffc6a04000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f5c1469d6a11c67cb0cb3a62761a720cf0b94361751ce38bc2b8c8f592ee5571",
"sigmaType": "Coll[SByte]",
"renderedValue": "f5c1469d6a11c67cb0cb3a62761a720cf0b94361751ce38bc2b8c8f592ee5571"
},
"R5": {
"serializedValue": "0e203199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253",
"sigmaType": "Coll[SByte]",
"renderedValue": "3199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253"
},
"R6": {
"serializedValue": "0e20e25576e28c7b9b67ce8b0292c5438a85bc751a23e36ea27a5cf30542f7836d01",
"sigmaType": "Coll[SByte]",
"renderedValue": "e25576e28c7b9b67ce8b0292c5438a85bc751a23e36ea27a5cf30542f7836d01"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
}
}
},
{
"boxId": "4f36011be09eb606ce766383a7d26c838138b061990406dffb438720c82e65b1",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "48ea6dfbfd9c4bbd5aadb8ecb52c4531a58137a8d8c75aea9dc212e6628eba5a",
"outputTransactionId": "709464455d19d2e414e48e4ec206e99b371d09e27f5fb94b46152d52a65e4479",
"outputIndex": 1,
"outputGlobalIndex": 40515781,
"outputCreatedAt": 1277666,
"outputSettledAt": 1277671,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20dc64db4364785b4653bf3c636958749c5c3970e36247b51ec6b0dc629e700494",
"sigmaType": "Coll[SByte]",
"renderedValue": "dc64db4364785b4653bf3c636958749c5c3970e36247b51ec6b0dc629e700494"
},
"R5": {
"serializedValue": "0e203199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253",
"sigmaType": "Coll[SByte]",
"renderedValue": "3199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253"
},
"R6": {
"serializedValue": "0e20bcc37f60c387d2e667c0fed7ce820113e64fdb09c801835ba3bb4352b1d3c31a",
"sigmaType": "Coll[SByte]",
"renderedValue": "bcc37f60c387d2e667c0fed7ce820113e64fdb09c801835ba3bb4352b1d3c31a"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
}
}
},
{
"boxId": "906bfd4f8be4d5c449b525b852c78cab5174f9d023d82b89741bb705e74c14b2",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "48ea6dfbfd9c4bbd5aadb8ecb52c4531a58137a8d8c75aea9dc212e6628eba5a",
"outputTransactionId": "7484bd8702c91fa4ed9863e32dc4cfc188b4717778b6b6f69f8ee2ade97d8792",
"outputIndex": 1,
"outputGlobalIndex": 40515786,
"outputCreatedAt": 1277666,
"outputSettledAt": 1277671,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": [
{
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"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bb0a853565964b6ae8a3b39516e89a7727a799e116bfd121c8690adf86706d39",
"sigmaType": "Coll[SByte]",
"renderedValue": "bb0a853565964b6ae8a3b39516e89a7727a799e116bfd121c8690adf86706d39"
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"R5": {
"serializedValue": "0e203199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253",
"sigmaType": "Coll[SByte]",
"renderedValue": "3199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253"
},
"R6": {
"serializedValue": "0e20d6f87041459e5408907dd7982201d1fc3b1c2e01cf2de9e621bd8c1589ddb42c",
"sigmaType": "Coll[SByte]",
"renderedValue": "d6f87041459e5408907dd7982201d1fc3b1c2e01cf2de9e621bd8c1589ddb42c"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
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{
"boxId": "8c7d29531baa1a56895921d4b2b364c40e070fce675c1ea56ae132a99a1325a9",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "48ea6dfbfd9c4bbd5aadb8ecb52c4531a58137a8d8c75aea9dc212e6628eba5a",
"outputTransactionId": "a6dc15ce899a301b544e09d15e8808eacfc2124996f20b57e3644e69d818af05",
"outputIndex": 1,
"outputGlobalIndex": 40515791,
"outputCreatedAt": 1277667,
"outputSettledAt": 1277671,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "07498968a2108132eb0d870434d31ba899e1dd6860ca21e21003073f07e0cc8f"
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"R5": {
"serializedValue": "0e203199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253",
"sigmaType": "Coll[SByte]",
"renderedValue": "3199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253"
},
"R6": {
"serializedValue": "0e2085c34a0a13e68bf2ec750e284c17479153fb477cc4bf1e821a092a95e60c7a59",
"sigmaType": "Coll[SByte]",
"renderedValue": "85c34a0a13e68bf2ec750e284c17479153fb477cc4bf1e821a092a95e60c7a59"
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"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
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}
},
{
"boxId": "7fa9257ea38cfbe927de7993fca7cf7f3a9a94e05e304d88b6b4bd132a6be287",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "48ea6dfbfd9c4bbd5aadb8ecb52c4531a58137a8d8c75aea9dc212e6628eba5a",
"outputTransactionId": "c16759a6a4d58bf488e1357eb13f0127bcefe42caa0d45c34fef9b6b971cbd6a",
"outputIndex": 1,
"outputGlobalIndex": 40515796,
"outputCreatedAt": 1277666,
"outputSettledAt": 1277671,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2008fead7bee80a7c8230a906d6ca8a878626989c8a6e1922fec4588c3b7ba8e91",
"sigmaType": "Coll[SByte]",
"renderedValue": "08fead7bee80a7c8230a906d6ca8a878626989c8a6e1922fec4588c3b7ba8e91"
},
"R5": {
"serializedValue": "0e203199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253",
"sigmaType": "Coll[SByte]",
"renderedValue": "3199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253"
},
"R6": {
"serializedValue": "0e20f3801b883af296a03a48dde9a57191fcfc19cb11d33de7ebd70dc302d596c993",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3801b883af296a03a48dde9a57191fcfc19cb11d33de7ebd70dc302d596c993"
},
"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
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}
},
{
"boxId": "68443e819a91689bbe3d03eef76231138218bc1807b4c44934dacc1252d3d5e3",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "48ea6dfbfd9c4bbd5aadb8ecb52c4531a58137a8d8c75aea9dc212e6628eba5a",
"outputTransactionId": "f007b98529b11d436595153cdb1184525d9217a3657c856c28f8561c2fc232cf",
"outputIndex": 1,
"outputGlobalIndex": 40515801,
"outputCreatedAt": 1277666,
"outputSettledAt": 1277671,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": [
{
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"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208c3f3005deffd60b1c554794bf37bdc9c57f9e96b6050413ee21c2d10ac978f1",
"sigmaType": "Coll[SByte]",
"renderedValue": "8c3f3005deffd60b1c554794bf37bdc9c57f9e96b6050413ee21c2d10ac978f1"
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"R5": {
"serializedValue": "0e203199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253",
"sigmaType": "Coll[SByte]",
"renderedValue": "3199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "b0dd0677c95c8ca8a39379b91ac477af5545f31a2c4b9c708083908baf98b704"
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"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
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{
"boxId": "ee412e1a377e9977e8a4ee2c98810e536ef4b531cd9ba5b43dc64ebb69fb2fcc",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "e44f6b96d4bf9b2488154a4823d1c891908da139dc333681c050c8645ba5384d",
"outputTransactionId": "e965983eaa4b2464a033609c042d718d5d0ca85b6cb836fec12308c80309883c",
"outputIndex": 1,
"outputGlobalIndex": 40515818,
"outputCreatedAt": 1277669,
"outputSettledAt": 1277672,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(92,-97,108,-34,91,111,14,57,-77,-123,101,-117,37,-32,126,-101,-10,-58,105,-34,-9,44,-110,-8,42,-14,43,-63,-6,97,-69,-120)\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(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\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": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 1000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"serializedValue": "0e209700efd45417a940f9d8d222094baa589ee31a352e6f9690b2ab5c6b083e94b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "9700efd45417a940f9d8d222094baa589ee31a352e6f9690b2ab5c6b083e94b4"
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"R5": {
"serializedValue": "0e203199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253",
"sigmaType": "Coll[SByte]",
"renderedValue": "3199bae9d0feae6f9d7b2f69f5f8c76ee48de009e7b2d4a6a54608e218e87253"
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"R6": {
"serializedValue": "0e20183e3d3e60dcf447a02d4f20b8ccb55e1952b378fed2be14dd4a4eddfc418b95",
"sigmaType": "Coll[SByte]",
"renderedValue": "183e3d3e60dcf447a02d4f20b8ccb55e1952b378fed2be14dd4a4eddfc418b95"
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"R7": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
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{
"boxId": "f36cf4c65ea484ca2013749b963c2213f23b08cc53ce873684951993e1793143",
"value": 2000000,
"index": 10,
"spendingProof": "1b6dc60e9e395168fa90332ac8108938e01a3e8c5d632b62710cb473cf2e8f1bb4a3e2af41ca2455541de9c29fa3ab49ddcaf6f1487006f8",
"outputBlockId": "86a7d56e7577a2b79f73f546a73c6b4af12841381d314c0e8baec38096a10184",
"outputTransactionId": "4533fceec88122cbd24a1ad6aaf317dde2c2984f77cc4d447ff85e77cbea2628",
"outputIndex": 3,
"outputGlobalIndex": 39982852,
"outputCreatedAt": 1262085,
"outputSettledAt": 1262087,
"ergoTree": "0008cd0219308e036164d78be8662bac7a5aa8f8754bf57722f9119241d9f54b72f35b1e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19308e,935c48,...)))}",
"address": "9ei9x8HkW249Lh13THiZ9vmHqP18Zc1TqFfg8U7YnYmr6thqQdR",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 827,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "984180b148269ae93690b63ebc518de848a481d322898425293f799c91f04357",
"value": 2000000,
"index": 11,
"spendingProof": "2a7e1c032d5c741de1149133a973d736b66dd57b730710c8c45533eaff58c3e8da7784e1ce5fed5fa86d9421c7ba25f3ce609d68c5404db4",
"outputBlockId": "faa859f5dc100cae6a7a7e81f5063d4cba0917646141a5e7e394539f76ad9504",
"outputTransactionId": "0061bfb6ec6b091495922cabc76d043f03c641b46f71bedc29db2ebcb26761da",
"outputIndex": 3,
"outputGlobalIndex": 39939440,
"outputCreatedAt": 1260748,
"outputSettledAt": 1260750,
"ergoTree": "0008cd0219308e036164d78be8662bac7a5aa8f8754bf57722f9119241d9f54b72f35b1e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19308e,935c48,...)))}",
"address": "9ei9x8HkW249Lh13THiZ9vmHqP18Zc1TqFfg8U7YnYmr6thqQdR",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 1899000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "4cdfe8f96addae21d2840076bcb37a689a8bf79b46b76eba0818381ebfd73eb5",
"value": 1100000,
"index": 0,
"outputBlockId": "e286f62bbddcf8c83784eef6003054f78e3729d79357314d65a98e922502c452",
"outputTransactionId": "92d6af1fddecdfbe77b774a00078a19e8332edf3744f584351383c0aeb1324c7",
"outputIndex": 1,
"ergoTree": "100604000400040004000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAa6eaMgMtHpTTkiF7FcKQaMurTF2iDyZaghSsYuMMLLQKsyFJyygHqSzuvAkokiTjZs2GXiF2JRW9JfXifKAYWSTLrZAHsk9ExH7jiJ5hT7Ex2YDBbRnoyafZ2j282op1wg4T3Yp7rzuihZShM1U96Xx4UF5MqnHJokjnogqjEMjUB1NgQ4Vha9eoHfepW1ULxdm",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
"boxId": "fd3882ecdcb22bf3c511c5a7e78d978add8d3a2ddcd811671778e382e8f1c616",
"value": 1100000,
"index": 1,
"outputBlockId": "bbfac1ffa39e04531c6fe0c2b3291a5da5488089c6159ead1d954caa682454a8",
"outputTransactionId": "c9ddddc64de94a065e60b779635a473177f78c855714f4ac97bae5b202f71f7c",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e07626974636f696e",
"sigmaType": "Coll[SByte]",
"renderedValue": "626974636f696e"
},
"R5": {
"serializedValue": "0514",
"sigmaType": "SLong",
"renderedValue": "10"
}
}
}
],
"outputs": [
{
"boxId": "c108696c2bb1a5507de73bdccd19ba7d5a7f0ac0b5b1ea8537058633a377a266",
"transactionId": "fffc8346890f08a0a274b409cf7c317b54909d701b87448fe4e6a14f3983ce15",
"blockId": "31531bdbf1b3157dd2633bc82b24af6bf4b3969af3d98ebe62c911804a44c2d6",
"value": 20000000,
"index": 0,
"globalIndex": 40516013,
"creationHeight": 1277675,
"settlementHeight": 1277677,
"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(-100,-20,33,121,-99,97,-111,24,69,67,-18,44,-20,-44,39,-33,43,63,-59,-121,19,-108,96,-57,85,16,-29,-99,-31,-10,-52,71)\n10: 1\n11: 0\n12: Coll(39,8,-52,21,-66,66,-17,-7,-120,-57,25,76,-122,-111,45,48,83,97,-56,-63,44,-7,-38,-30,-73,80,-37,-11,-63,81,-101,-48)\n13: 10\n14: Coll(-59,-96,41,-11,-109,-95,6,-31,89,77,-38,30,84,53,-82,68,-77,71,-6,77,-33,-113,-96,60,-51,5,122,-4,40,-73,-35,56)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
"index": 0,
"amount": 10000,
"name": "BTC-RWT-dev",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208807f9a8b08f01542d9d62798e2d7a45e5ada0b53e2a18165041d507b0a2adae",
"sigmaType": "Coll[SByte]",
"renderedValue": "8807f9a8b08f01542d9d62798e2d7a45e5ada0b53e2a18165041d507b0a2adae"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[64376262363834396539663636323364303436343632393465373339646439656566373530303936353838656365623433666634313162386366333532323830,626974636f696e,6572676f,626f783a616434306662326666646364303763396262366564633266363032613431663361663764306464306532336663363262613930313034316639333631653365362e30,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,0000000000004e20,0000000000000603,0000000000000268,627463,39386263383133643737623862393338666464623038663735633563363836666665333863663164393961383837663931343033636336663063356337366266,30303030303030303030303030303030303030313366393633643839313233656134303339616463613431306235353035353336303863613564316337396631,00000000000ce94e]"
},
"R6": {
"serializedValue": "0e204fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fb614710293f31bc6bc76ee1cf50318e17e0c0da65881548f07a830be146b9a"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "026ef216a57d41448d6ee1cd4b06d6632c271ed21c7bc94113c733d2cc638b62",
"mainChain": true
},
{
"boxId": "3b83c1ccc023d28413862091d2dfef94f23f3b4276a4dd20af05f1dd23d81c24",
"transactionId": "fffc8346890f08a0a274b409cf7c317b54909d701b87448fe4e6a14f3983ce15",
"blockId": "31531bdbf1b3157dd2633bc82b24af6bf4b3969af3d98ebe62c911804a44c2d6",
"value": 2000000,
"index": 1,
"globalIndex": 40516014,
"creationHeight": 1277675,
"settlementHeight": 1277677,
"ergoTree": "0008cd0219308e036164d78be8662bac7a5aa8f8754bf57722f9119241d9f54b72f35b1e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19308e,935c48,...)))}",
"address": "9ei9x8HkW249Lh13THiZ9vmHqP18Zc1TqFfg8U7YnYmr6thqQdR",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 1899827,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "04c429b0981cef84ae344d18daee4957e105818ce5705c8a5c3f4982ccebc1a8",
"mainChain": true
},
{
"boxId": "de3602eb8519df47ca5cfa1816fe739c434e9c5921353bf2cb522ced3bb2e29c",
"transactionId": "fffc8346890f08a0a274b409cf7c317b54909d701b87448fe4e6a14f3983ce15",
"blockId": "31531bdbf1b3157dd2633bc82b24af6bf4b3969af3d98ebe62c911804a44c2d6",
"value": 2000000,
"index": 2,
"globalIndex": 40516015,
"creationHeight": 1277675,
"settlementHeight": 1277677,
"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": "dbe058f35f973861585cc42ae44aeadf650b0b960dfe11c28ff4197c5bd3b119",
"mainChain": true
}
],
"size": 1641,
"isUnconfirmed": false
}