Transaction
ID: d5d4d7fabf...6d84
Inputs (15)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
4.97 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.028 ERG
Tokens:
42,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.97 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 87,861
Total coins transferred: 5 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001163 ERG
Raw Transaction Data
{
"id": "d5d4d7fabf416c1eff7683607fda2b83c3e5d58e227964aa8e271b7052b46d84",
"blockId": "4a4c169bef92f5669462866d3e3826dd3b4a2dd59d0a011bd99ad5b56b615bc5",
"inclusionHeight": 1675235,
"timestamp": 1765451754562,
"index": 5,
"globalIndex": 9947368,
"numConfirmations": 87861,
"inputs": [
{
"boxId": "d1ccdef5e0e32a0ab4a4b7db859368790381bd962b0b650e83286efeccfb5268",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f2135581b2eacb8938864f874ce4f0fc889f4a5f831d3ebe81abcb7e71bb94d3",
"outputTransactionId": "12c28f0a951aff4ff4512b9f014babe214054f9c7c296408a62c74a566dbacaf",
"outputIndex": 1,
"outputGlobalIndex": 52177099,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675226,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2060892728fdbc41bb105d764ffa8d2e9b5159ea44e47be6976ad49394e430c253",
"sigmaType": "Coll[SByte]",
"renderedValue": "60892728fdbc41bb105d764ffa8d2e9b5159ea44e47be6976ad49394e430c253"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e20e65d98f82f237609fed8b4a3affbcf0c0d58c4c380ea9a2de7308f25da98edbb",
"sigmaType": "Coll[SByte]",
"renderedValue": "e65d98f82f237609fed8b4a3affbcf0c0d58c4c380ea9a2de7308f25da98edbb"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "a5670e60aa3c0b7ae66fa06c3df866a529dd053610c5466551ff5496ea41f339",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "f2135581b2eacb8938864f874ce4f0fc889f4a5f831d3ebe81abcb7e71bb94d3",
"outputTransactionId": "8735c48babd31a72f3fa2c427b646ccab317f4e2da562f9853f97c88dc06a82e",
"outputIndex": 1,
"outputGlobalIndex": 52177103,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675226,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c02b144bee302bf0a457a9a2797c2835d5e7181ed2b1c01be2f06e1279c7eb56",
"sigmaType": "Coll[SByte]",
"renderedValue": "c02b144bee302bf0a457a9a2797c2835d5e7181ed2b1c01be2f06e1279c7eb56"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e20ac4731d3a8d95a6840f6fe8663961c7e3720d9393dc616a9d6459f608ac3208a",
"sigmaType": "Coll[SByte]",
"renderedValue": "ac4731d3a8d95a6840f6fe8663961c7e3720d9393dc616a9d6459f608ac3208a"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "3f5491e6dad8dbdb34cb15f9abb00aeec07b36c0a008dc6fa6c4f6e030ae26c1",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "f2135581b2eacb8938864f874ce4f0fc889f4a5f831d3ebe81abcb7e71bb94d3",
"outputTransactionId": "ab133dceb563f3cec537ff1d5b13bfdfe85f3a449eed655138d6ba3209d42e62",
"outputIndex": 1,
"outputGlobalIndex": 52177107,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675226,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20aad7391c7f3ee67d07d9ddf1c0419e0fc149c20b373096c81f6a94d5a219ebe2",
"sigmaType": "Coll[SByte]",
"renderedValue": "aad7391c7f3ee67d07d9ddf1c0419e0fc149c20b373096c81f6a94d5a219ebe2"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e2008244ec2076f04ba6dc0decc41475d2cd0baa767bb799cf10ddce09d57fcb9e2",
"sigmaType": "Coll[SByte]",
"renderedValue": "08244ec2076f04ba6dc0decc41475d2cd0baa767bb799cf10ddce09d57fcb9e2"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "4edd0a1bd82cb002f108f49de9e27d27f2af957d4dd2cddbfe9737d45b5b7eb7",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "8296e68fc66a58ebe064a12781db2de97f5730bc1574cc2eaed1719c1b873f31",
"outputTransactionId": "81f2b03eb94e8b58afeac1cbee1ad005d055ffee4617c81cc232181175cda525",
"outputIndex": 1,
"outputGlobalIndex": 52177146,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675227,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2004c8bb43972e076a33744d217f086ed415f220ef5c7f24f61ebac0f51774380e",
"sigmaType": "Coll[SByte]",
"renderedValue": "04c8bb43972e076a33744d217f086ed415f220ef5c7f24f61ebac0f51774380e"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e2027cd86d2615f0b724c50a0aa2282ff38b2e66163ff94b8d29d11fe38a2cea4a9",
"sigmaType": "Coll[SByte]",
"renderedValue": "27cd86d2615f0b724c50a0aa2282ff38b2e66163ff94b8d29d11fe38a2cea4a9"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "fd3bcfa40701933f12edb2dd9fe0b106acd29072c4b51edaa66598244cae1e72",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "8296e68fc66a58ebe064a12781db2de97f5730bc1574cc2eaed1719c1b873f31",
"outputTransactionId": "9ee72c0f37398d0954cd28b129282f25f1c02c3afa6772dbd32399419c975527",
"outputIndex": 1,
"outputGlobalIndex": 52177150,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675227,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20eaae58b9f50009844029335126a42ad0dd93031678e4786d93465f9dffba4f49",
"sigmaType": "Coll[SByte]",
"renderedValue": "eaae58b9f50009844029335126a42ad0dd93031678e4786d93465f9dffba4f49"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e20fa9e8f9f643712eda3d965c4512d640d29b229fbbf118deb6f35b0fc668e1247",
"sigmaType": "Coll[SByte]",
"renderedValue": "fa9e8f9f643712eda3d965c4512d640d29b229fbbf118deb6f35b0fc668e1247"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "0bcba847434fd6e0fe9cd789a568eeb3837a90b84dd3419b423c95fd69544a4f",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "8296e68fc66a58ebe064a12781db2de97f5730bc1574cc2eaed1719c1b873f31",
"outputTransactionId": "c619080e43c2b7c0a79c29aba8d6bee9190a1bedd23b46a0e641b8bbad4c6eb0",
"outputIndex": 1,
"outputGlobalIndex": 52177154,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675227,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a067210aa3a78a46c2975796b53bd44b33f61626f8f06f965721163fdf665fd5",
"sigmaType": "Coll[SByte]",
"renderedValue": "a067210aa3a78a46c2975796b53bd44b33f61626f8f06f965721163fdf665fd5"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e200d9102ee3b591ae9717c3ffc530bab4942e2571c0163b8779518c4cdaf8cbbe4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0d9102ee3b591ae9717c3ffc530bab4942e2571c0163b8779518c4cdaf8cbbe4"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "e34729a684f347dec83d0c483785ca0d0209f6940ba09ad01442d1e0615fbab8",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "c573e06edc550c36ef5dad81dbfa081c7274d1791998f6c30c03fd9e7ec1de79",
"outputTransactionId": "30f28397285292ddf9dbd65316fca3d24029b843c08c77196481b8296783fbd4",
"outputIndex": 1,
"outputGlobalIndex": 52177183,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675228,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "5ivrmzxYZwTAiTX9sPndhvFogPtijgcySCRKTQBJwcgHkKVsM9Chqog7YhdVDbf7AH9Z2PgYmjMrWbPgDDCHLDANY9RyY22DvgyS3P4XmuD1YptEBLveRbcQGJjeLmxF5HzmQePE9MtFC2foD2e7gWBqqSuhcSQMWtWZXrsWzEgbtvvQP1UYsW3DHaXa89oQzxiLq7bGPrVqvxEK3fHS7onA6MZo7bf2UxJE7zqnbvq91CLZCAcp33VM48vTmwq5X27URUV81iJdpqES3JSVdAdDqrMXGiqCh8rB8mJsVqfmUy66nYmK5QVSu11N23pELKWotBnoN5WxZuHugeytjkFRtFMpwuowE2tmrkJ6NXF4BBe3hAh162o6b4zVUpbkhsjg59HkaSeFAhQScYYQdcJf6uZoA8cF7JHya1QEuVzeG5esubZjDx7MSPrEL42Gehvbt6QZ6R1QYK6gZSFB7twXHWWgcX2VzjofWtbAJkN69JbaWh2W54PQ4x8JZdUTWQcUQUTbPd6T8Wj8xuuXWfGLsadY8CJ9y1Nojctupz9MxzkZZQZnqtuwnNU6w15CP5MGskSbpF4U6Ha6mSnjQzWRGTjZTS73nof3Rr3QcJzpMbT18GQCoZnkUXJ19ch5Ub62pBhSc7gUaed1vxMfyfHBpnviCMwyTA91MWCjajbMzZyEzbrGz47xFW3VuPkTqtyNTFbue8pgouvoDC7vu7haTQWyjQXQ4UmVN6cWNzxKW81JhUSUWPXy9spJcH1ESXwtgJPGPfGwdmCPkJogdrZvPZcrPpDEE3U2UWVKHwHPVgGj1iDdXDxCaht4AdHus2sJhtC2P3N4gsP2RFbkecSMZii6ZB5R3n58qzq3xnCeHbvCu22Xdkao7jFPkEjDqdsbLVkwK85dTVHcybB1xV2Cgvv4YDjaHemfAwUrWEfELi2MgJeRxrA3bPPT8PsAh1uSMMEL598EijK2Psn8YwmwZFTMoigWEAfr1PzvisDZjYAH6ofrt95jFHuT1XKFy3wT5uhveGWjqFjhJpV4XvvRf9qLBiv6XRTqimK3AQUR1URog9fkfVd6u9spDUTkX1tWMTXRTPnrCPkWmkjY9K8PdSsY9YsbTv6YQ8HzeeiHTa18uPhy99bd4k3bubL1zuAmPMoNDUKm2m9d3xmMB6soNS849xt1LS7EeXRzvkqEY2kU75QSDSrqhaMPr4iGYkd2JBjyQohbCMsWNdsjWqxQjgCc7cyTWQngrtLaFRXdLbVNKCzHvTzCnWqpa8xNZB9ecsrcbno13jrAKzHhx",
"assets": [
{
"tokenId": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a991dea6ead2ff268a217402653a4dd96cff5c14c9762e57d01ed4a5f39757c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "a991dea6ead2ff268a217402653a4dd96cff5c14c9762e57d01ed4a5f39757c6"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e2033aaac82f7d1ac39fa642a3a1b8d857ec90648d518f4ff30d6adb4d9d3096cd2",
"sigmaType": "Coll[SByte]",
"renderedValue": "33aaac82f7d1ac39fa642a3a1b8d857ec90648d518f4ff30d6adb4d9d3096cd2"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "2e26c29eb162a1e70a2a500983d8f42610007054620be1acb1d2f4ecf3dffe1d",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "c573e06edc550c36ef5dad81dbfa081c7274d1791998f6c30c03fd9e7ec1de79",
"outputTransactionId": "39cdf675c2e562ec52cb70688a72260806dacc4d5cc5a3dcf0179ac3ab217131",
"outputIndex": 1,
"outputGlobalIndex": 52177187,
"outputCreatedAt": 1675226,
"outputSettledAt": 1675228,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f77f9f8f2e26e0591fd86bbbe4e9600876bedca51e628e1bff7d8eaca03778b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "f77f9f8f2e26e0591fd86bbbe4e9600876bedca51e628e1bff7d8eaca03778b7"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e204ad5af946f73e88dc417d23bd7fca0e49af5d639242dbe82c57e1c20dfb74888",
"sigmaType": "Coll[SByte]",
"renderedValue": "4ad5af946f73e88dc417d23bd7fca0e49af5d639242dbe82c57e1c20dfb74888"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "9b1d2a2b677f48ceb52c9fe67b2216090d7c8f44fce4315b0f12578938e763b8",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "c573e06edc550c36ef5dad81dbfa081c7274d1791998f6c30c03fd9e7ec1de79",
"outputTransactionId": "3e614b568d03ae0c5e75c4cb8608e5c908b44f84de1da1305b64220fb4a89495",
"outputIndex": 1,
"outputGlobalIndex": 52177191,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675228,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20af9be4b54c10b4151f47236c60bdef99301b741f0e67e58c39551eb49ad5b260",
"sigmaType": "Coll[SByte]",
"renderedValue": "af9be4b54c10b4151f47236c60bdef99301b741f0e67e58c39551eb49ad5b260"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e202f8136543edfbcabb77a4c1f847a0cbe5d12d8d6d9cda7d6c833926b26a73c61",
"sigmaType": "Coll[SByte]",
"renderedValue": "2f8136543edfbcabb77a4c1f847a0cbe5d12d8d6d9cda7d6c833926b26a73c61"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "8679cacd303b5d079a844f1501614187503ba993f9b6709a9ee24477da37da4c",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "c573e06edc550c36ef5dad81dbfa081c7274d1791998f6c30c03fd9e7ec1de79",
"outputTransactionId": "433b1a3d5e0ea1fd9393409766bba28a8e757e9551473dd0a03db387985fada5",
"outputIndex": 1,
"outputGlobalIndex": 52177195,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675228,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "5ivrmzxYZwTAiTX9sPndhvFogPtijgcySCRKTQBJwcgHkKVsM9Chqog7YhdVDbf7AH9Z2PgYmjMrWbPgDDCHLDANY9RyY22DvgyS3P4XmuD1YptEBLveRbcQGJjeLmxF5HzmQePE9MtFC2foD2e7gWBqqSuhcSQMWtWZXrsWzEgbtvvQP1UYsW3DHaXa89oQzxiLq7bGPrVqvxEK3fHS7onA6MZo7bf2UxJE7zqnbvq91CLZCAcp33VM48vTmwq5X27URUV81iJdpqES3JSVdAdDqrMXGiqCh8rB8mJsVqfmUy66nYmK5QVSu11N23pELKWotBnoN5WxZuHugeytjkFRtFMpwuowE2tmrkJ6NXF4BBe3hAh162o6b4zVUpbkhsjg59HkaSeFAhQScYYQdcJf6uZoA8cF7JHya1QEuVzeG5esubZjDx7MSPrEL42Gehvbt6QZ6R1QYK6gZSFB7twXHWWgcX2VzjofWtbAJkN69JbaWh2W54PQ4x8JZdUTWQcUQUTbPd6T8Wj8xuuXWfGLsadY8CJ9y1Nojctupz9MxzkZZQZnqtuwnNU6w15CP5MGskSbpF4U6Ha6mSnjQzWRGTjZTS73nof3Rr3QcJzpMbT18GQCoZnkUXJ19ch5Ub62pBhSc7gUaed1vxMfyfHBpnviCMwyTA91MWCjajbMzZyEzbrGz47xFW3VuPkTqtyNTFbue8pgouvoDC7vu7haTQWyjQXQ4UmVN6cWNzxKW81JhUSUWPXy9spJcH1ESXwtgJPGPfGwdmCPkJogdrZvPZcrPpDEE3U2UWVKHwHPVgGj1iDdXDxCaht4AdHus2sJhtC2P3N4gsP2RFbkecSMZii6ZB5R3n58qzq3xnCeHbvCu22Xdkao7jFPkEjDqdsbLVkwK85dTVHcybB1xV2Cgvv4YDjaHemfAwUrWEfELi2MgJeRxrA3bPPT8PsAh1uSMMEL598EijK2Psn8YwmwZFTMoigWEAfr1PzvisDZjYAH6ofrt95jFHuT1XKFy3wT5uhveGWjqFjhJpV4XvvRf9qLBiv6XRTqimK3AQUR1URog9fkfVd6u9spDUTkX1tWMTXRTPnrCPkWmkjY9K8PdSsY9YsbTv6YQ8HzeeiHTa18uPhy99bd4k3bubL1zuAmPMoNDUKm2m9d3xmMB6soNS849xt1LS7EeXRzvkqEY2kU75QSDSrqhaMPr4iGYkd2JBjyQohbCMsWNdsjWqxQjgCc7cyTWQngrtLaFRXdLbVNKCzHvTzCnWqpa8xNZB9ecsrcbno13jrAKzHhx",
"assets": [
{
"tokenId": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a3a4894aaf0f6c48fcbf2e884431a4d3ebc908e0d6ad9c556ce5bf0369d8f3ec",
"sigmaType": "Coll[SByte]",
"renderedValue": "a3a4894aaf0f6c48fcbf2e884431a4d3ebc908e0d6ad9c556ce5bf0369d8f3ec"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e206316ef1267e52bfb1b793bdf5457cbda4659d1c34d910e5e6e7d23f6ce987ee6",
"sigmaType": "Coll[SByte]",
"renderedValue": "6316ef1267e52bfb1b793bdf5457cbda4659d1c34d910e5e6e7d23f6ce987ee6"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "25b1c05f047c56a1ff6778f205033707378c734fb597d0e8518053ccb796ed7e",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "c573e06edc550c36ef5dad81dbfa081c7274d1791998f6c30c03fd9e7ec1de79",
"outputTransactionId": "98ad322a2487e3fa37fbc224a702bf45370c651c95b0b5aaadb42f78adc8c657",
"outputIndex": 1,
"outputGlobalIndex": 52177199,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675228,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202c9d1d9dc627c3ac8c6365ed77f8f9a19571b8d298c085ee7a65a55e70bdfe2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "2c9d1d9dc627c3ac8c6365ed77f8f9a19571b8d298c085ee7a65a55e70bdfe2a"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e20c16f315d868b6a3db5fee17d594622bed19ae5c04c4bde56201bc7062c13fd49",
"sigmaType": "Coll[SByte]",
"renderedValue": "c16f315d868b6a3db5fee17d594622bed19ae5c04c4bde56201bc7062c13fd49"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "fecd52a1f679b92c862179ddbc1d9814f46ef7be0b5b628ae70fe053efcf8b8b",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "c573e06edc550c36ef5dad81dbfa081c7274d1791998f6c30c03fd9e7ec1de79",
"outputTransactionId": "ca904b9d5a9b8027f205a46f4df81086b6049eef6d3dd0449ee87ecf835670e2",
"outputIndex": 1,
"outputGlobalIndex": 52177203,
"outputCreatedAt": 1675226,
"outputSettledAt": 1675228,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209b730b00736c3c10e3cb460b5c22c7c9e0b4b55944cf728d2999e030af62a31f",
"sigmaType": "Coll[SByte]",
"renderedValue": "9b730b00736c3c10e3cb460b5c22c7c9e0b4b55944cf728d2999e030af62a31f"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e20d9c2f882a9e8fa4398ee54fadbac0cd199bbd92d3b0d8b85b5924c66ec1a75c1",
"sigmaType": "Coll[SByte]",
"renderedValue": "d9c2f882a9e8fa4398ee54fadbac0cd199bbd92d3b0d8b85b5924c66ec1a75c1"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "fd6940e189a57757aaae7e8c99e633523f9043e5e6102dce41207d5c8662b152",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "c573e06edc550c36ef5dad81dbfa081c7274d1791998f6c30c03fd9e7ec1de79",
"outputTransactionId": "3d4a95c190863525763387b42c949dad46f6f9f5ff1c51f4c92d590f86bb65d5",
"outputIndex": 1,
"outputGlobalIndex": 52177215,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675228,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b485b935d844c53b3ac419b3e2f1d537d1c3a4de2a107d74eee27eec68c74a5e",
"sigmaType": "Coll[SByte]",
"renderedValue": "b485b935d844c53b3ac419b3e2f1d537d1c3a4de2a107d74eee27eec68c74a5e"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e2027499588a0abf8f0d1931a07cc83581bd4f29f135dea3761abad1acf4ee597c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "27499588a0abf8f0d1931a07cc83581bd4f29f135dea3761abad1acf4ee597c6"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "79bd05f87a94e57a1d6d80a3fe554aeb17ba23beffb2ef41bac9ddbf541eac69",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "c573e06edc550c36ef5dad81dbfa081c7274d1791998f6c30c03fd9e7ec1de79",
"outputTransactionId": "6a3fd5afd545084842566d541af1ab988c3f3af75c6117aabe3ea70f3d1fd69e",
"outputIndex": 1,
"outputGlobalIndex": 52177220,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675228,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-66,22,59,22,-86,-78,77,65,62,-69,54,48,125,108,-35,-49,-117,-84,38,90,121,-55,103,-13,-93,-107,48,-116,31,-21,31,-78)\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(19,-55,15,-126,87,-2,-122,-117,78,3,74,9,92,116,-66,-87,-54,-56,-5,81,25,8,85,-69,-9,33,41,72,-111,21,5,85)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ed67780e1bcddcb3150042f763f337e39489300db2d4d4dd166c66e6220ebe17",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed67780e1bcddcb3150042f763f337e39489300db2d4d4dd166c66e6220ebe17"
},
"R5": {
"serializedValue": "0e20d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d50a2bac101d94b1508f8fe36c31df4b8ea47add3c07b7fa86705eeb64e34f0a"
},
"R6": {
"serializedValue": "0e2050270b81e7c9c7afa2f5d2fa6fea1cb8929201e3145158cb918eefef2d1a80f6",
"sigmaType": "Coll[SByte]",
"renderedValue": "50270b81e7c9c7afa2f5d2fa6fea1cb8929201e3145158cb918eefef2d1a80f6"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "c2b50473f1a8a656e484bb8a2a8e4a992c0c26e708fe860445433a295d0edd74",
"value": 4969000000,
"index": 14,
"spendingProof": "271c582619a845ac5aec10135d0d6ac5cb98efcf2f3f7e79e6af632e89eeabc114504d02c19d8814fe3db1c833fe1eab89670015495a4ba3",
"outputBlockId": "c573e06edc550c36ef5dad81dbfa081c7274d1791998f6c30c03fd9e7ec1de79",
"outputTransactionId": "6a3fd5afd545084842566d541af1ab988c3f3af75c6117aabe3ea70f3d1fd69e",
"outputIndex": 2,
"outputGlobalIndex": 52177221,
"outputCreatedAt": 1675225,
"outputSettledAt": 1675228,
"ergoTree": "0008cd02b35a5ddb0527fe218f3bec09112f5fb702557f8afb2a347e297022d001aa039b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b35a5d,703890,...)))}",
"address": "9ft3r44omVU6RFdws7Tb7VmvGi7RFhU73HutvbJ4EaCzeEciWH5",
"assets": [
{
"tokenId": "ed67780e1bcddcb3150042f763f337e39489300db2d4d4dd166c66e6220ebe17",
"index": 0,
"amount": 1,
"name": "WID-ebe17-eEciWH5",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "73a7d69f9a83278597a0f789579f4c7c719e22e425a048f2e31ba76c18660f0a",
"value": 1100000,
"index": 0,
"outputBlockId": "1bea5511c7b66f70073277272b5d4b3bdf1ffb8cf3b414007f5fceba7217ce5b",
"outputTransactionId": "b0505f940597d4145eb9c025de4638e561d2a3b2895de598562ddddb2f33b185",
"outputIndex": 0,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106809bee027802c8018090dfc04a80c2d72f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,10000000000,50000000]"
}
}
},
{
"boxId": "94df90d2d120d5a9ecf7e54c1cd06c5d28cbbc23cb3d87ce7578376ad1093e76",
"value": 1100000,
"index": 1,
"outputBlockId": "38c7f1ced50696a75381b2bb0af20c973182f6c258a669b66422dbe91597aec2",
"outputTransactionId": "35c36edac960d1732bae362a8f707c2cc14e6dcd029b13b84a7daaed42b57830",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0c426974636f696e52756e6573",
"sigmaType": "Coll[SByte]",
"renderedValue": "426974636f696e52756e6573"
},
"R5": {
"serializedValue": "0520",
"sigmaType": "SLong",
"renderedValue": "16"
}
}
}
],
"outputs": [
{
"boxId": "3cf8ea2477c8610c0041ba907912c95c9401de1f81e67496aeca454c9170c3d7",
"transactionId": "d5d4d7fabf416c1eff7683607fda2b83c3e5d58e227964aa8e271b7052b46d84",
"blockId": "4a4c169bef92f5669462866d3e3826dd3b4a2dd59d0a011bd99ad5b56b615bc5",
"value": 28000000,
"index": 0,
"globalIndex": 52177642,
"creationHeight": 1675233,
"settlementHeight": 1675235,
"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(111,58,90,63,41,25,-38,-64,-90,-25,-82,79,-44,52,99,24,-115,-81,44,-118,111,58,-66,99,-73,121,-23,69,119,23,-29,91)\n10: 1\n11: 0\n12: Coll(72,12,-93,-102,-83,-49,9,46,-40,-89,71,115,-37,68,46,-27,-45,127,-34,-67,-92,38,66,-65,-37,-29,-67,22,-74,-127,-79,33)\n13: 21600\n14: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
"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": "8bde33c8654ddb525b4db4842dd959e592c3847eabe40383af09a76be36379c4",
"index": 0,
"amount": 42000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20af6afe297d036329915dadb24f389e0d96f657c150b0f24f1b672e34b68ec0b0",
"sigmaType": "Coll[SByte]",
"renderedValue": "af6afe297d036329915dadb24f389e0d96f657c150b0f24f1b672e34b68ec0b0"
},
"R5": {
"serializedValue": "1a0c40656462383238393036643861646239663232326565313966656333383733343661633932323438333931663839633364346666663530626633616635383434660d626974636f696e2d72756e6573046572676f46626f783a346534326164346333636635666635386262393230363935326431383662306133666331393365363336343339313531326165383861643330653936313430652e3133396562434a5a654d5752446b6f7566335935723778344870505256734b44694e46756672615a46544d745672736631366238720800000000000120de080000000000005980080000000000000101093834303030303a3435403230313136633964363934383030663865373161623866626330336331396434366664623361303734366538353236336561613538313235373631313266646540303030303030303030303030303030303030303136633532653631326235323261393431393037373732653164373366313837656133326164373866313238620800000000000e26ae",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[65646238323839303664386164623966323232656531396665633338373334366163393232343833393166383963336434666666353062663361663538343466,626974636f696e2d72756e6573,6572676f,626f783a346534326164346333636635666635386262393230363935326431383662306133666331393365363336343339313531326165383861643330653936313430652e31,396562434a5a654d5752446b6f7566335935723778344870505256734b44694e46756672615a46544d74567273663136623872,00000000000120de,0000000000005980,0000000000000101,3834303030303a3435,32303131366339643639343830306638653731616238666263303363313964343666646233613037343665383532363365616135383132353736313132666465,30303030303030303030303030303030303030313663353265363132623532326139343139303737373265316437336631383765613332616437386631323862,00000000000e26ae]"
},
"R6": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
},
"R7": {
"serializedValue": "041c",
"sigmaType": "SInt",
"renderedValue": "14"
}
},
"spentTransactionId": "eaa0d8e5400f10f71841a37c252c7c1c57ce8d9d624a2369b5fdd5455b43da28",
"mainChain": true
},
{
"boxId": "9a1e80081ebb524289c1f2bbb31137b5fefa6376a8a0d7ba78cfbda361eb40c4",
"transactionId": "d5d4d7fabf416c1eff7683607fda2b83c3e5d58e227964aa8e271b7052b46d84",
"blockId": "4a4c169bef92f5669462866d3e3826dd3b4a2dd59d0a011bd99ad5b56b615bc5",
"value": 4967000000,
"index": 1,
"globalIndex": 52177643,
"creationHeight": 1675233,
"settlementHeight": 1675235,
"ergoTree": "0008cd02b35a5ddb0527fe218f3bec09112f5fb702557f8afb2a347e297022d001aa039b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b35a5d,703890,...)))}",
"address": "9ft3r44omVU6RFdws7Tb7VmvGi7RFhU73HutvbJ4EaCzeEciWH5",
"assets": [
{
"tokenId": "ed67780e1bcddcb3150042f763f337e39489300db2d4d4dd166c66e6220ebe17",
"index": 0,
"amount": 1,
"name": "WID-ebe17-eEciWH5",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "5c1887168a5cfda9d1972fbb680ac4d07d34e15c52d1d7d42645ce889553e3be",
"mainChain": true
},
{
"boxId": "880f87ec372ce748da496ed3e0ac596705a5335e588c2c921955ba10dee5d4a6",
"transactionId": "d5d4d7fabf416c1eff7683607fda2b83c3e5d58e227964aa8e271b7052b46d84",
"blockId": "4a4c169bef92f5669462866d3e3826dd3b4a2dd59d0a011bd99ad5b56b615bc5",
"value": 2000000,
"index": 2,
"globalIndex": 52177644,
"creationHeight": 1675233,
"settlementHeight": 1675235,
"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": "40aefa8950f26d1c0c0c6796ffb707725e3e24e6a3b7345b03e17cf0b90e2112",
"mainChain": true
}
],
"size": 1719,
"isUnconfirmed": false
}