Transaction
ID: 6c432d504d...2211
Inputs (7)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
14
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
56
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
70
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 234,229
Total coins transferred: 0.014 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001361 ERG
Raw Transaction Data
{
"id": "6c432d504db9e955c4d9752ca5e97df6016a72279c2f6fca31b7812c25192211",
"blockId": "e98a8bb34355cb95fafb71f0522a29306cd026f931866be09f53957a1b7dbd62",
"inclusionHeight": 1534631,
"timestamp": 1748419930389,
"index": 2,
"globalIndex": 9017768,
"numConfirmations": 234229,
"inputs": [
{
"boxId": "436f6f23284713d23d7d845666f702331f952464df1b5a0200a6ced33ab3df48",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d9cd9ec1be9ef979133379d787acddb70c1470a280766011adbcdb1efeab2d20",
"outputTransactionId": "e2dc3906ceecb5582986ff717e974bb68372c67cbd600b371f0f33aed310e425",
"outputIndex": 1,
"outputGlobalIndex": 48091846,
"outputCreatedAt": 1534621,
"outputSettledAt": 1534623,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-49,-7,-89,25,-113,31,12,-75,83,76,-36,-120,76,20,-115,90,101,126,-95,100,91,-101,34,66,-61,-117,59,56,38,1,53,-36)\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(-66,-114,10,-46,-35,59,-53,-80,32,-103,-94,104,63,115,-93,68,-57,-80,35,-122,0,-123,102,-93,11,83,124,-48,-14,10,100,-16)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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": "5ivrmzxYZzJ53AJkfiXVahnHBw3CBBDVtAnek6h8v9cmsW9F5nJ5XyK64vfG229BV13Ve8UEfzb2bcDFHHCVC5e5vpmRNvxoiNKTq8LW7dCmesV64oKVD5rA9AQYWH3UhtFGGv9icYWSuUuKWDrnSLEiWTpYeiCGxw5igc8T1ZLgpvLjsdRWQqcLfKWvN6Qeut7ZFkaRLZ8KpQsj8kfuvnp3xKhKsf4V77J5n6y5yd4nEhQamdwmg9vNHFURMKRSsrpSKWo7KkPWoCGa3LgLRmaGAPnWuE5zjpBjACVAmE8SB5mVFGGT9YZiJ41ApFTUEbduuD6QQ8wL1R5gsaWAJYj6mVnTUKS1knp6jbr276nTASjbERJvpFyTHEn5y8bgt9zWXgTpQ9JFDm9XQnkmeHjmFPwffnFQPJ1fKU52CAYWzjdKcVwfmipqVPxHPo6fNwLmPQDpGMx3yyHHXV7fKmszAnhwnJc89jcCAjAygHE9tufvWBFUU6gJmUjjVe8bMSgTciR8iqNPi6MT7siM5XgW5d2Z4tckx3zDB3Bf1X1FoWsMrXP6U8JpxasxMX6gi1M3Xq7gSvZeqAYHVPG6L3BZLsPngmqvBuZSnvDqGXZhYzNTvDy4pJiXnxrpiZRibcp4Bp52aJWa9UTyZ7sB6Mg8WFm1nmwoZFrpRbMfagotzMEizRbrUvpPRoj9K2JbAoxmkBCmsXoxCNQ9j4m15U5QDTDzTa7MDyZ7FsCf8LDf56jtwkQqXRn2uT9xMRvYMybvhxgbnVYofUeLZkWhkwT4UxGLCWswCq9kN74mNPkoktn7K16LDrphWRkjC2LA8bkXTX4ePMTA7kV217xSmGKgzBPRfhbqapvunPbFsYxZ75NQGJTRAqujQBXTGbR5WtruB9ntFDjwHDEFJpTzurYskcExGUGNYv2TWFwqKWrXKgJPqtjjgduhUTc7AkpAGx1BQXPty7ecVPx52dgnr4waynmzpTUyio3CJ4AaBLTVZo2igUzVvzfGjB9dJhfmpd78HRiZyZxs9gkfXY4FwioPmXH573ATpeaCKoi3g6KaihF98zDbxWn9FRxwmFZTKVBtaLXoiFgeBkiJ12C6Dve8WkVxJnLPPRqdTVcXTLN5Jm8jBc4foh2jeqyiBBvn4dm55Nq8EAioLv5SyDEqYsGH4mqbcqp9GwEarmUUxJmXtNQwncGXKMcaFDFnYeSAy1bCW9uZ69vSqF3WRbWTY2DwYcDRukVVNCPgdvQBdV2HbyLSAt1FH3BRmrhPG1CRZaoqeN3K9igUuoeqPwa6M",
"assets": [
{
"tokenId": "293696b0ef0e392876886a248d17519dcb9c70ef2e0349bc4f1a3f5a098983d8",
"index": 0,
"amount": 1000,
"name": "RosenDogeRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c210186def5b562f50f2d8086a11922ed5b07cc3e75c954b162ca03922fc796f",
"sigmaType": "Coll[SByte]",
"renderedValue": "c210186def5b562f50f2d8086a11922ed5b07cc3e75c954b162ca03922fc796f"
},
"R5": {
"serializedValue": "0e203bffaa34fb13a29196fbb08c7272e52841961da0d3f3f6932d7697105b6f8f91",
"sigmaType": "Coll[SByte]",
"renderedValue": "3bffaa34fb13a29196fbb08c7272e52841961da0d3f3f6932d7697105b6f8f91"
},
"R6": {
"serializedValue": "0e20467daa5e133e7e98cc1e7b14129909ccb050b8f868435b803029b1e45a023466",
"sigmaType": "Coll[SByte]",
"renderedValue": "467daa5e133e7e98cc1e7b14129909ccb050b8f868435b803029b1e45a023466"
},
"R7": {
"serializedValue": "0e20f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb"
}
}
},
{
"boxId": "e0af6e3cfd5e2fab757457444a8953ca094be3a051341adae43c249db9f783b3",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "f1dc3c84ce550ad26b17af0540c30a5b48698f5865b6859986b98e0bbcaf22d2",
"outputTransactionId": "0cbfa4e4525dd4becd06f74c74bfd8175952c3d60d701078b490332ca3e2cb47",
"outputIndex": 1,
"outputGlobalIndex": 48091858,
"outputCreatedAt": 1534621,
"outputSettledAt": 1534625,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-49,-7,-89,25,-113,31,12,-75,83,76,-36,-120,76,20,-115,90,101,126,-95,100,91,-101,34,66,-61,-117,59,56,38,1,53,-36)\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(-66,-114,10,-46,-35,59,-53,-80,32,-103,-94,104,63,115,-93,68,-57,-80,35,-122,0,-123,102,-93,11,83,124,-48,-14,10,100,-16)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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": "293696b0ef0e392876886a248d17519dcb9c70ef2e0349bc4f1a3f5a098983d8",
"index": 0,
"amount": 1000,
"name": "RosenDogeRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207d39741a0cf63e22edbc35f8b0d22b6e0f021c84addbc8d51a5cae95e21da75e",
"sigmaType": "Coll[SByte]",
"renderedValue": "7d39741a0cf63e22edbc35f8b0d22b6e0f021c84addbc8d51a5cae95e21da75e"
},
"R5": {
"serializedValue": "0e203bffaa34fb13a29196fbb08c7272e52841961da0d3f3f6932d7697105b6f8f91",
"sigmaType": "Coll[SByte]",
"renderedValue": "3bffaa34fb13a29196fbb08c7272e52841961da0d3f3f6932d7697105b6f8f91"
},
"R6": {
"serializedValue": "0e2076b7fbf830e55e9108ba697091609f25edbe2918af3de9d102ecbb4b75ed0d5f",
"sigmaType": "Coll[SByte]",
"renderedValue": "76b7fbf830e55e9108ba697091609f25edbe2918af3de9d102ecbb4b75ed0d5f"
},
"R7": {
"serializedValue": "0e20f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb"
}
}
},
{
"boxId": "05115485a9d7bb442838a6ddefa3c9d9363ddbbbb4784c5e4f6fd48aa9da52d7",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "f1dc3c84ce550ad26b17af0540c30a5b48698f5865b6859986b98e0bbcaf22d2",
"outputTransactionId": "85ad6fd4c23487ef3f44ddd7bad27537fb2a676a89c81b64ed44d9378995ceeb",
"outputIndex": 1,
"outputGlobalIndex": 48091863,
"outputCreatedAt": 1534621,
"outputSettledAt": 1534625,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-49,-7,-89,25,-113,31,12,-75,83,76,-36,-120,76,20,-115,90,101,126,-95,100,91,-101,34,66,-61,-117,59,56,38,1,53,-36)\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(-66,-114,10,-46,-35,59,-53,-80,32,-103,-94,104,63,115,-93,68,-57,-80,35,-122,0,-123,102,-93,11,83,124,-48,-14,10,100,-16)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
"tokenId": "293696b0ef0e392876886a248d17519dcb9c70ef2e0349bc4f1a3f5a098983d8",
"index": 0,
"amount": 1000,
"name": "RosenDogeRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20cc9ec82b59784712511d489fcbea06e581a800ac9a15e4d7582e53df010ecb35",
"sigmaType": "Coll[SByte]",
"renderedValue": "cc9ec82b59784712511d489fcbea06e581a800ac9a15e4d7582e53df010ecb35"
},
"R5": {
"serializedValue": "0e203bffaa34fb13a29196fbb08c7272e52841961da0d3f3f6932d7697105b6f8f91",
"sigmaType": "Coll[SByte]",
"renderedValue": "3bffaa34fb13a29196fbb08c7272e52841961da0d3f3f6932d7697105b6f8f91"
},
"R6": {
"serializedValue": "0e20ed354ba74963452e0bf39a842548d84a6c2941a198f0d99d52b24b59fd181a15",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed354ba74963452e0bf39a842548d84a6c2941a198f0d99d52b24b59fd181a15"
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"R7": {
"serializedValue": "0e20f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb"
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{
"boxId": "69ad98f7f64aa8cd3ae985dae95f7d94a997a30fe27ecf48162e9819ff5be933",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "f1dc3c84ce550ad26b17af0540c30a5b48698f5865b6859986b98e0bbcaf22d2",
"outputTransactionId": "a07bc40b7112182119f74adc135c0b1298f243ebb8be9bd17ac6fd574de8031c",
"outputIndex": 1,
"outputGlobalIndex": 48091868,
"outputCreatedAt": 1534621,
"outputSettledAt": 1534625,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-49,-7,-89,25,-113,31,12,-75,83,76,-36,-120,76,20,-115,90,101,126,-95,100,91,-101,34,66,-61,-117,59,56,38,1,53,-36)\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(-66,-114,10,-46,-35,59,-53,-80,32,-103,-94,104,63,115,-93,68,-57,-80,35,-122,0,-123,102,-93,11,83,124,-48,-14,10,100,-16)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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": "293696b0ef0e392876886a248d17519dcb9c70ef2e0349bc4f1a3f5a098983d8",
"index": 0,
"amount": 1000,
"name": "RosenDogeRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2033deb9526b180db76bd52cc63672b6ddf2565467fa5d5dda79922a81f437171f",
"sigmaType": "Coll[SByte]",
"renderedValue": "33deb9526b180db76bd52cc63672b6ddf2565467fa5d5dda79922a81f437171f"
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"R5": {
"serializedValue": "0e203bffaa34fb13a29196fbb08c7272e52841961da0d3f3f6932d7697105b6f8f91",
"sigmaType": "Coll[SByte]",
"renderedValue": "3bffaa34fb13a29196fbb08c7272e52841961da0d3f3f6932d7697105b6f8f91"
},
"R6": {
"serializedValue": "0e200f968599b9a7d67b9c3ce4bfb464e780a6df5c387f45077975f85a4b50e754e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f968599b9a7d67b9c3ce4bfb464e780a6df5c387f45077975f85a4b50e754e4"
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"R7": {
"serializedValue": "0e20f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb"
}
}
},
{
"boxId": "92e1a4c2f7c584941cf9c9cde3bf430c40df6fae0317b7ba37e675055d046122",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "f1dc3c84ce550ad26b17af0540c30a5b48698f5865b6859986b98e0bbcaf22d2",
"outputTransactionId": "b50705c728e02d70a23d91bad5a9701414af7cd3e8650f170b306cb609b0004d",
"outputIndex": 1,
"outputGlobalIndex": 48091873,
"outputCreatedAt": 1534621,
"outputSettledAt": 1534625,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-49,-7,-89,25,-113,31,12,-75,83,76,-36,-120,76,20,-115,90,101,126,-95,100,91,-101,34,66,-61,-117,59,56,38,1,53,-36)\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(-66,-114,10,-46,-35,59,-53,-80,32,-103,-94,104,63,115,-93,68,-57,-80,35,-122,0,-123,102,-93,11,83,124,-48,-14,10,100,-16)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\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": "293696b0ef0e392876886a248d17519dcb9c70ef2e0349bc4f1a3f5a098983d8",
"index": 0,
"amount": 1000,
"name": "RosenDogeRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a50ff2b7dc7d9cf3409ddf5fa11645406e7e4fdf8ccb31c0c4bf58a3cbdde8f"
},
"R5": {
"serializedValue": "0e203bffaa34fb13a29196fbb08c7272e52841961da0d3f3f6932d7697105b6f8f91",
"sigmaType": "Coll[SByte]",
"renderedValue": "3bffaa34fb13a29196fbb08c7272e52841961da0d3f3f6932d7697105b6f8f91"
},
"R6": {
"serializedValue": "0e20434cac033191cee9368a65320877a7bd23a2997219e102824d1e612c05eaf035",
"sigmaType": "Coll[SByte]",
"renderedValue": "434cac033191cee9368a65320877a7bd23a2997219e102824d1e612c05eaf035"
},
"R7": {
"serializedValue": "0e20f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb"
}
}
},
{
"boxId": "5f847a890e7ded355a7c229646371ea6aff30d33c29061959cc9829ae328a386",
"value": 2000000,
"index": 5,
"spendingProof": "9f94b1671392712baf392ec5e95315f970c75608c8f772c20a3f98d41b065aaa2aa94da894433bff2efa2f421c8708223cd6599dbe9e861f",
"outputBlockId": "5b7ab602abc5d58745f7c7cc2aed783600bc035b3fe1598474f3c0e7d10c5f8a",
"outputTransactionId": "4db77d8b4e97a434c506c573ed435c6d35109ec332484829185d7802d0af639b",
"outputIndex": 3,
"outputGlobalIndex": 48073954,
"outputCreatedAt": 1533939,
"outputSettledAt": 1533941,
"ergoTree": "0008cd03c3b78dccdad951ce35eabe2c6a99cdc6f80443297529be646e761231c8fe31ad",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c3b78d,979478,...)))}",
"address": "9hx126ZikSRqzn5Btmnmi4M43ngv9GDcV9SHd11BuFCUjpuD89p",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 14000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "17905af2c8626c381c58c8d7a2cbca6633738cc009df9015e71418bdef9f3776",
"value": 2000000,
"index": 6,
"spendingProof": "140b55a4ee40d6b4ef45f2d3a7397b3b2edeb6c725d830117ea66c8255aee962f2c72c854dfebf4c2905a3d4b73eef7e9dfa67c3ddf233b2",
"outputBlockId": "075bf8aa7e7df8081f83fe6ccfb3f392ba9adbe413d6e515dfc2b531159f1451",
"outputTransactionId": "01efa06b0d2068cb4f8fc8b9fe5a51badab51c31a305441c565d82ad19280e9b",
"outputIndex": 1,
"outputGlobalIndex": 48074226,
"outputCreatedAt": 1533948,
"outputSettledAt": 1533950,
"ergoTree": "0008cd03c3b78dccdad951ce35eabe2c6a99cdc6f80443297529be646e761231c8fe31ad",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c3b78d,979478,...)))}",
"address": "9hx126ZikSRqzn5Btmnmi4M43ngv9GDcV9SHd11BuFCUjpuD89p",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 56000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "5c7c60333675d2b8b528b693636348b3a69ab11ce171c3ca7f101b3278dd50e6",
"value": 1100000,
"index": 0,
"outputBlockId": "f0c5178deff0e525364817a69bc39733b270381905f0a3809d20c7602d671d6f",
"outputTransactionId": "a1322d84115f1cceb4d6ac4d410005293c7b06ecd9459a04a78f9474aee36c27",
"outputIndex": 1,
"ergoTree": "100604000400040004000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhBMkLFHpReSPj7knVLihVSxxh55yh3X39NhP6cKMVYZYf6cFuP7267DEtkrWxFSbYqfX6zj2qY57ZBCNkFEQnJVGxvyjXnNJ1Nrj5YiymeX2SAb66uYfHxZJQTv9R7S6PE4vvnUp5oC4LbGaC4bo8HkGCUzpvpSLm9qeSzwFXdznsJketE6n6HLGLqNXQ3KZXNaG8",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
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"value": 1100000,
"index": 1,
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"outputTransactionId": "cc1928ab41ad4f379ecad12dec1e2547dc6ae3e5092bd8e8f8b91fafcc9a4e37",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e04646f6765",
"sigmaType": "Coll[SByte]",
"renderedValue": "646f6765"
},
"R5": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
}
}
}
],
"outputs": [
{
"boxId": "4cffd63ac039e38fd91303eff2391a8126598b380653054029c4d56ee679020a",
"transactionId": "6c432d504db9e955c4d9752ca5e97df6016a72279c2f6fca31b7812c25192211",
"blockId": "e98a8bb34355cb95fafb71f0522a29306cd026f931866be09f53957a1b7dbd62",
"value": 10000000,
"index": 0,
"globalIndex": 48091947,
"creationHeight": 1534628,
"settlementHeight": 1534631,
"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(12,81,83,-113,-49,107,-72,8,52,75,109,-127,8,33,-61,41,90,-98,-22,67,85,63,106,-118,-120,116,84,107,-38,44,80,-104)\n10: 1\n11: 0\n12: Coll(-108,99,-122,91,51,-6,-57,96,99,72,17,72,-121,-73,124,-30,-6,-5,-31,98,73,-95,75,22,-15,20,103,-1,-5,-11,41,-82)\n13: 10\n14: Coll(9,-81,-23,48,20,-10,-106,10,-86,-61,7,28,-111,-102,-31,-125,0,-15,92,117,-92,109,-45,-78,47,-79,-8,-64,30,101,-9,91)",
"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": "293696b0ef0e392876886a248d17519dcb9c70ef2e0349bc4f1a3f5a098983d8",
"index": 0,
"amount": 5000,
"name": "RosenDogeRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20438432c1d24e92484591d7bf5a2eea3d9d86177cb3895131dad7acf4ddd73ed0",
"sigmaType": "Coll[SByte]",
"renderedValue": "438432c1d24e92484591d7bf5a2eea3d9d86177cb3895131dad7acf4ddd73ed0"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63643034316238643437326638306432616565333064643665363535343839646562613765313336306336396336393433636437626636343432313834323030,646f6765,6572676f,626f783a313063303261323161313566373936363333353239646461313463313531653238383230356131353534393965333866303931393432633163326631373737332e32,39686167776e65484b4d424a484e37706e5238574c7744326e65354e5170575745434c45647778625339426d336969676d6b5a,00000000004c4b40,00000000002625a0,00000000001e8480,646f6765,32316432636433633438386435333062623764326338663365396331663439356565356134663330616237393862383362343831633937386563653735663833,39343634386637646365386166333161313865636434353866663237356636633935666439666261633864666130323663363761313262633436623132643537,0000000000576512]"
},
"R6": {
"serializedValue": "0e20f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "f708c8c9f7bc4d69a15edea1cba8485f670c6df743e99af40dbe50691fba82fb"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
},
"spentTransactionId": "a0f5e328bb4b4427388ad82153f327feac2890614046a6859203d3c33dd512ee",
"mainChain": true
},
{
"boxId": "6f5330613e9c3b97a70232b5adf4d6e237dab0c5de7e9884b670adda330b5c75",
"transactionId": "6c432d504db9e955c4d9752ca5e97df6016a72279c2f6fca31b7812c25192211",
"blockId": "e98a8bb34355cb95fafb71f0522a29306cd026f931866be09f53957a1b7dbd62",
"value": 2000000,
"index": 1,
"globalIndex": 48091948,
"creationHeight": 1534628,
"settlementHeight": 1534631,
"ergoTree": "0008cd03c3b78dccdad951ce35eabe2c6a99cdc6f80443297529be646e761231c8fe31ad",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c3b78d,979478,...)))}",
"address": "9hx126ZikSRqzn5Btmnmi4M43ngv9GDcV9SHd11BuFCUjpuD89p",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 70000,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "a03c010a665a4d810ed506fcf4e892448584da5aef8a874e4cb721d4cae5fb39",
"mainChain": true
},
{
"boxId": "9cd19e35ce36c34cb774cb14e6242043ddbc6df39887751861633a3eed79e228",
"transactionId": "6c432d504db9e955c4d9752ca5e97df6016a72279c2f6fca31b7812c25192211",
"blockId": "e98a8bb34355cb95fafb71f0522a29306cd026f931866be09f53957a1b7dbd62",
"value": 2000000,
"index": 2,
"globalIndex": 48091949,
"creationHeight": 1534628,
"settlementHeight": 1534631,
"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": "6cb8c6383860b080c07f7a412ba58918157896a5e7386c67d2d3bc088f18aee1",
"mainChain": true
}
],
"size": 1469,
"isUnconfirmed": false
}