Transaction
ID: 0161ed76a7...fc59
Inputs (14)
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:
2.99 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.026 ERG
Tokens:
39,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.99 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 100,430
Total coins transferred: 3.02 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001148 ERG
Raw Transaction Data
{
"id": "0161ed76a7a23eb030dce4399f1a3439920de500dcfb766d4acd25b818c4fc59",
"blockId": "b91a4de8f8dd01eb3341db7252391d62a0340ccec7eb8dd93f441e735a193895",
"inclusionHeight": 1662397,
"timestamp": 1763893482739,
"index": 14,
"globalIndex": 9846890,
"numConfirmations": 100430,
"inputs": [
{
"boxId": "8e2067075c0cf5181c935f6204af4fee16d4fdd14fd3ecad44a73f5e902b9d3d",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "1a89d9b23f3cfaa1ab7b6acd33815850878e0b64dcbef3ef34cab2873492c5b9",
"outputTransactionId": "2b57eddc72c879b207006b8d5a0388c00bd97e7e539021224846e9f03aacd582",
"outputIndex": 1,
"outputGlobalIndex": 51768696,
"outputCreatedAt": 1662387,
"outputSettledAt": 1662388,
"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": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e20210ed1daa599b1dde77f526c0420fd143cd20def286b702359d6665bb191dc82",
"sigmaType": "Coll[SByte]",
"renderedValue": "210ed1daa599b1dde77f526c0420fd143cd20def286b702359d6665bb191dc82"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "aee81b291b126312d1f41569391f99b066568d781d5f16de0c45f52a18179171",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "1a89d9b23f3cfaa1ab7b6acd33815850878e0b64dcbef3ef34cab2873492c5b9",
"outputTransactionId": "7ad6936e42ff8e02fca44ded08a87385cdac6a619995b63fcb81f79a2fe0726c",
"outputIndex": 1,
"outputGlobalIndex": 51768700,
"outputCreatedAt": 1662387,
"outputSettledAt": 1662388,
"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": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e20278b8cd84bf8169dfd961bb56fe0b79db076de1f1f61ddaa431db87751711fb7",
"sigmaType": "Coll[SByte]",
"renderedValue": "278b8cd84bf8169dfd961bb56fe0b79db076de1f1f61ddaa431db87751711fb7"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "3da80a50be20dcd038545907cc581cf82f87c9c604171d6f2f81618a2526d229",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "1d6c3bccc0a2af10921f8dc6ebe35285d2f49fe73d1efbc49abef3efc952aad8",
"outputTransactionId": "7cf6015d780fd074368007433d86333ccb49647ea1dd635c0f739d5c7a3328cf",
"outputIndex": 1,
"outputGlobalIndex": 51768707,
"outputCreatedAt": 1662387,
"outputSettledAt": 1662389,
"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": "0e20d00cb24aaaea9af2b751838c4d2fdc6bf52d74c140a4a53e7191b8317cfa107f",
"sigmaType": "Coll[SByte]",
"renderedValue": "d00cb24aaaea9af2b751838c4d2fdc6bf52d74c140a4a53e7191b8317cfa107f"
},
"R5": {
"serializedValue": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e20a36f9d4bc2ebe478583c74931e11d374c27c86d1a763c251415aca8b0b6f24a7",
"sigmaType": "Coll[SByte]",
"renderedValue": "a36f9d4bc2ebe478583c74931e11d374c27c86d1a763c251415aca8b0b6f24a7"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "3b5a4bb57c7d76cbe7816e48e286bf73bfcbdd92d66adee26b129e6151449b1d",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "1d6c3bccc0a2af10921f8dc6ebe35285d2f49fe73d1efbc49abef3efc952aad8",
"outputTransactionId": "bbd6e8085b8032dacb37fe14f8c6da4fba8b047b912188bda94a93ab76af0cf0",
"outputIndex": 1,
"outputGlobalIndex": 51768711,
"outputCreatedAt": 1662387,
"outputSettledAt": 1662389,
"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": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e2045b72022a7f908a86fd3828bc90ca32de6a8a913dad5d2aee1c4dbf5f611bb5a",
"sigmaType": "Coll[SByte]",
"renderedValue": "45b72022a7f908a86fd3828bc90ca32de6a8a913dad5d2aee1c4dbf5f611bb5a"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "9529614da7bec6f30433a530949fdd4148b017c7763bea5b63e2f9377420c38e",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "1d6c3bccc0a2af10921f8dc6ebe35285d2f49fe73d1efbc49abef3efc952aad8",
"outputTransactionId": "f51a324ad04db54b7d89896bbd14e6a4a698cdaf9af5a5866177c43f0e1ef73c",
"outputIndex": 1,
"outputGlobalIndex": 51768715,
"outputCreatedAt": 1662387,
"outputSettledAt": 1662389,
"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": "0e209dab61ff5f80d4afb581dcf37d9b9995ff73d88f5239a55c27c78c720849129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "9dab61ff5f80d4afb581dcf37d9b9995ff73d88f5239a55c27c78c720849129a"
},
"R5": {
"serializedValue": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e20d28844d27a3dcb8b9ac5c9607621448640522d34686e007d7cb443ade2d09cba",
"sigmaType": "Coll[SByte]",
"renderedValue": "d28844d27a3dcb8b9ac5c9607621448640522d34686e007d7cb443ade2d09cba"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "cb319da48438b0cae7c729330b802213bf9addcc3419000e34c18c89038d6b01",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "b27c71791874267abce12961b10365627d063010c51a6f613408c18e8c0718de",
"outputTransactionId": "33227e038f972f66f9fa3073165d9a508719d4e77fa34bf95ab9a003b9f51d33",
"outputIndex": 1,
"outputGlobalIndex": 51768722,
"outputCreatedAt": 1662387,
"outputSettledAt": 1662390,
"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": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e2045f8878bd0891df1b634abacc30dea3e7c43680586b5daaab61d6dfc02661ab7",
"sigmaType": "Coll[SByte]",
"renderedValue": "45f8878bd0891df1b634abacc30dea3e7c43680586b5daaab61d6dfc02661ab7"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "fc7c579ac054c7337ffcf36faa29ebe2b3a4b0fe9c825fb5dab588f512def3f8",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "b27c71791874267abce12961b10365627d063010c51a6f613408c18e8c0718de",
"outputTransactionId": "470e99b8549f4cda48fbf2b6ee8b223011cf6d40e3d6269e3dd705c8e2b41638",
"outputIndex": 1,
"outputGlobalIndex": 51768726,
"outputCreatedAt": 1662387,
"outputSettledAt": 1662390,
"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": "0e20a991dea6ead2ff268a217402653a4dd96cff5c14c9762e57d01ed4a5f39757c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "a991dea6ead2ff268a217402653a4dd96cff5c14c9762e57d01ed4a5f39757c6"
},
"R5": {
"serializedValue": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e20d88a529081351a4ad4ee1d24a330c722c1100b08ff9b966df728ec26bf1c4237",
"sigmaType": "Coll[SByte]",
"renderedValue": "d88a529081351a4ad4ee1d24a330c722c1100b08ff9b966df728ec26bf1c4237"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "44c54378f4b2a1d7fd8a43508038897a02ed8fc640ffac57bc91172a1d16671c",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "b27c71791874267abce12961b10365627d063010c51a6f613408c18e8c0718de",
"outputTransactionId": "517d4d91c278c46afa6fd52db8f65ae9b91ba12e1ba7f968fcce684a172c0be1",
"outputIndex": 1,
"outputGlobalIndex": 51768730,
"outputCreatedAt": 1662387,
"outputSettledAt": 1662390,
"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": "0e20738909c156be4901db5ab2ec01c21d117f535e644f74f7c17477a078b975a936",
"sigmaType": "Coll[SByte]",
"renderedValue": "738909c156be4901db5ab2ec01c21d117f535e644f74f7c17477a078b975a936"
},
"R5": {
"serializedValue": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e2020f830498939c7e4988f33c9da3aa19aa8a7e16895d2a0cbb281a1d94ac69fe0",
"sigmaType": "Coll[SByte]",
"renderedValue": "20f830498939c7e4988f33c9da3aa19aa8a7e16895d2a0cbb281a1d94ac69fe0"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "f81307f40501b245a6aaf8986d41363742483457f482707221f2fcac368eecb8",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "b27c71791874267abce12961b10365627d063010c51a6f613408c18e8c0718de",
"outputTransactionId": "841133097d267d5e83135d7b2064e807fb2be78e69c12f4801bbedd0fa885f96",
"outputIndex": 1,
"outputGlobalIndex": 51768734,
"outputCreatedAt": 1662387,
"outputSettledAt": 1662390,
"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": "0e20af10b826b4bcfbd6c024d38adbb9f0831dfd832f0e305728c46083d21de3c411",
"sigmaType": "Coll[SByte]",
"renderedValue": "af10b826b4bcfbd6c024d38adbb9f0831dfd832f0e305728c46083d21de3c411"
},
"R5": {
"serializedValue": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e20a3233a8c78d79a04df24a81dc3d846e36724c04b02551b91621f5c4db28c852d",
"sigmaType": "Coll[SByte]",
"renderedValue": "a3233a8c78d79a04df24a81dc3d846e36724c04b02551b91621f5c4db28c852d"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "be07a323d4aa36151a309024518cdb81a24753cbdc62de1f3cb284b11f15d0fa",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "b27c71791874267abce12961b10365627d063010c51a6f613408c18e8c0718de",
"outputTransactionId": "e835824892a4ba86140bdab4b59d2f11f902966083b97526f03f0ce592e4848f",
"outputIndex": 1,
"outputGlobalIndex": 51768738,
"outputCreatedAt": 1662387,
"outputSettledAt": 1662390,
"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": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e2009f9fcd9b21087cde089cd4ea71102763d83e7cb988a7ca5e2b46f2883494646",
"sigmaType": "Coll[SByte]",
"renderedValue": "09f9fcd9b21087cde089cd4ea71102763d83e7cb988a7ca5e2b46f2883494646"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "b8dbf96898f6332b4d07bb7dc2c6cf0505d7e4633b1583154ac7a16f8c636872",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "b27c71791874267abce12961b10365627d063010c51a6f613408c18e8c0718de",
"outputTransactionId": "af8d32a900cb09e5d3e8dfadc2f1132747ef4810500dfba63ed536a47e1c244e",
"outputIndex": 1,
"outputGlobalIndex": 51768742,
"outputCreatedAt": 1662388,
"outputSettledAt": 1662390,
"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": "0e20b3db30d1ffcc734aa6f28f02f728d2bd9a90b45025d11d2e384f09f0257406c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "b3db30d1ffcc734aa6f28f02f728d2bd9a90b45025d11d2e384f09f0257406c5"
},
"R5": {
"serializedValue": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e20630a412597cbd5f8ddb179a5e071bf23c33de7da4154849e293e766e12d84289",
"sigmaType": "Coll[SByte]",
"renderedValue": "630a412597cbd5f8ddb179a5e071bf23c33de7da4154849e293e766e12d84289"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "91d608b654e3c003867d8bc4aaeb7762ff164d5a11f3a1ececdaf47716e07d62",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "b27c71791874267abce12961b10365627d063010c51a6f613408c18e8c0718de",
"outputTransactionId": "10e5e218d40524f8466ea94f6504a0a9e0c100afb638ad9c441d5c1f3e5b0887",
"outputIndex": 1,
"outputGlobalIndex": 51768747,
"outputCreatedAt": 1662388,
"outputSettledAt": 1662390,
"ergoTree": "102404000e20be163b16aab24d413ebb36307d6cddcf8bac265a79c967f3a395308c1feb1fb2040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2013c90f8257fe868b4e034a095c74bea9cac8fb51190855bbf72129489115055504000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"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": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e2093ad2161201af06c69a19757690c4291813e9e6ba8089a5897841d1b6613288a",
"sigmaType": "Coll[SByte]",
"renderedValue": "93ad2161201af06c69a19757690c4291813e9e6ba8089a5897841d1b6613288a"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "f4134f49745292a7ccbd4cd4f80963e40193d0ae00a10ce1bb4eac89f8589a9b",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "b27c71791874267abce12961b10365627d063010c51a6f613408c18e8c0718de",
"outputTransactionId": "1772cbba3efdbc6271b6ae71847d232cfdaaa04dda3193d69e4aa64f1106aab8",
"outputIndex": 1,
"outputGlobalIndex": 51768752,
"outputCreatedAt": 1662388,
"outputSettledAt": 1662390,
"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": "0e20b485b935d844c53b3ac419b3e2f1d537d1c3a4de2a107d74eee27eec68c74a5e",
"sigmaType": "Coll[SByte]",
"renderedValue": "b485b935d844c53b3ac419b3e2f1d537d1c3a4de2a107d74eee27eec68c74a5e"
},
"R5": {
"serializedValue": "0e205a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "5a2caedff6a5fd855f934ae240cba97ffd67c464dc7610f0fca1cf5acbdad5cb"
},
"R6": {
"serializedValue": "0e20e8f09a5689dd123b927e79c342ec9f52053d6bbd0055a51fe058f09d7bc14b9b",
"sigmaType": "Coll[SByte]",
"renderedValue": "e8f09a5689dd123b927e79c342ec9f52053d6bbd0055a51fe058f09d7bc14b9b"
},
"R7": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
}
}
},
{
"boxId": "b67feb2063e7e1b59ac788e5e023384cf65975bc042a8e6f9f8f6da07161c789",
"value": 2992000000,
"index": 13,
"spendingProof": "de07362bf6b31990726f8f33f055ed5de956b9450311c82b1a10ed3c0424a7b5698ac6371444d7caab646eb611b445ed5827d91004504435",
"outputBlockId": "1a89d9b23f3cfaa1ab7b6acd33815850878e0b64dcbef3ef34cab2873492c5b9",
"outputTransactionId": "7ad6936e42ff8e02fca44ded08a87385cdac6a619995b63fcb81f79a2fe0726c",
"outputIndex": 2,
"outputGlobalIndex": 51768701,
"outputCreatedAt": 1662387,
"outputSettledAt": 1662388,
"ergoTree": "0008cd02b54c4a402ef44e33b43e08924be87817888e0cb399c5bacc16f0316b4ce7b1f0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b54c4a,931cec,...)))}",
"address": "9ftuXerdHbV6MNNiJwpAzZengGajSbcQVSE5HNjyBuTfk9vkNKv",
"assets": [
{
"tokenId": "04c8bb43972e076a33744d217f086ed415f220ef5c7f24f61ebac0f51774380e",
"index": 0,
"amount": 3,
"name": "WID-4380e-k9vkNKv",
"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": "f77f9f8f2e26e0591fd86bbbe4e9600876bedca51e628e1bff7d8eaca03778b7",
"value": 1100000,
"index": 1,
"outputBlockId": "b24c1549792ee0ce75855d2f028a7c7633b8d25869c98c8c29a9d33b40c2c567",
"outputTransactionId": "77a72049a2b62a97ad56177235ebb5cf2ab47e4a34b17bd213eb64ae08e1e9e8",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0c426974636f696e52756e6573",
"sigmaType": "Coll[SByte]",
"renderedValue": "426974636f696e52756e6573"
},
"R5": {
"serializedValue": "051c",
"sigmaType": "SLong",
"renderedValue": "14"
}
}
}
],
"outputs": [
{
"boxId": "93052f1f595487a59c39695012b0c46872c4e062fdac96832a59267d046c4b1e",
"transactionId": "0161ed76a7a23eb030dce4399f1a3439920de500dcfb766d4acd25b818c4fc59",
"blockId": "b91a4de8f8dd01eb3341db7252391d62a0340ccec7eb8dd93f441e735a193895",
"value": 26000000,
"index": 0,
"globalIndex": 51768916,
"creationHeight": 1662393,
"settlementHeight": 1662397,
"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": 39000000,
"name": "rspv2BitcoinRunesRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205eda1b5820fdfb1e23526637bc2ec28bd8cb4edfa6be28e2cef7b32bd7080bae",
"sigmaType": "Coll[SByte]",
"renderedValue": "5eda1b5820fdfb1e23526637bc2ec28bd8cb4edfa6be28e2cef7b32bd7080bae"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[38396663396537353165656365656165626430356132333264333033623661303332663334643164623338363333643765363035366232323534363037613966,626974636f696e2d72756e6573,63617264616e6f,626f783a643966656638393162393363373333333930633061313965656238376164613862626561336535616664356431356335666163633061653537343565353534342e32,61646472317179326639657175646136787571746673767039706571327635327a34676d3277786b6e63703472776d3771726c636a70356d7064336564686a703230616e346e7965343675616d396472746a3263366e38793265616c6d3379667137706b306674,00000002ed1222ae,000000002ae070c8,0000000000665946,3834303030303a33,39343165656539353063383037346132626335353832366465303261386264316465386631646436326361616261633032643337623630312e37323733343434663437,30303030303030303030303030303030303030313338666563373163346235323137306163633131613266363061386365376365326461373734336232336336,00000000000e1ca4]"
},
"R6": {
"serializedValue": "0e20a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0902fd73eca3da8dff397a685ecff98942dfb57b869bdb5132a170c3d02d873"
},
"R7": {
"serializedValue": "041a",
"sigmaType": "SInt",
"renderedValue": "13"
}
},
"spentTransactionId": "4663b1ea98c1f47f1aca01d76638d49174d06cffc11932d0155082f4a3fc8547",
"mainChain": true
},
{
"boxId": "a5f2c53fad4f976ad6065cf4852b30dd3000b437934aaf6eae512fffe65c268c",
"transactionId": "0161ed76a7a23eb030dce4399f1a3439920de500dcfb766d4acd25b818c4fc59",
"blockId": "b91a4de8f8dd01eb3341db7252391d62a0340ccec7eb8dd93f441e735a193895",
"value": 2990000000,
"index": 1,
"globalIndex": 51768917,
"creationHeight": 1662393,
"settlementHeight": 1662397,
"ergoTree": "0008cd02b54c4a402ef44e33b43e08924be87817888e0cb399c5bacc16f0316b4ce7b1f0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b54c4a,931cec,...)))}",
"address": "9ftuXerdHbV6MNNiJwpAzZengGajSbcQVSE5HNjyBuTfk9vkNKv",
"assets": [
{
"tokenId": "04c8bb43972e076a33744d217f086ed415f220ef5c7f24f61ebac0f51774380e",
"index": 0,
"amount": 3,
"name": "WID-4380e-k9vkNKv",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "61f8249a51b88d150ef5887d6a914759b5e1969f720897cf4a45d48392e19383",
"mainChain": true
},
{
"boxId": "0c4639b0bc4c5744361f5ad69a2194a0c295c8fe308086632a641fb5106c9bf3",
"transactionId": "0161ed76a7a23eb030dce4399f1a3439920de500dcfb766d4acd25b818c4fc59",
"blockId": "b91a4de8f8dd01eb3341db7252391d62a0340ccec7eb8dd93f441e735a193895",
"value": 2000000,
"index": 2,
"globalIndex": 51768918,
"creationHeight": 1662393,
"settlementHeight": 1662397,
"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": "2015f33e913cc02bf92cb3d7016a8c79dd24c6ef4d7c09eb8d3465a4877dc9fc",
"mainChain": true
}
],
"size": 1742,
"isUnconfirmed": false
}