Transaction
ID: c78c03dc37...97cd
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.85 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.85 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 135,530
Total coins transferred: 1.85 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000343 ERG
Raw Transaction Data
{
"id": "c78c03dc37469cc408cc3938e4cc089866fb7b8bb804ae41e92601561ee697cd",
"blockId": "57c982ce57a0acb9cfe137bd15be09ac5da4b989ffc3f2904804c75b896ddbab",
"inclusionHeight": 1624768,
"timestamp": 1759340857282,
"index": 18,
"globalIndex": 9552483,
"numConfirmations": 135530,
"inputs": [
{
"boxId": "b0a9c012c4cc3253d6bb282d21bfc4e1f562007d207ab5f5be18c274f0572fb3",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0612468212dcae90506105b4b55147e1a2653a598c7d662f631d4d21a96285e7",
"outputTransactionId": "42c8458eb16242c0c22d03c4688b0f565c94c069038b5e500449831d72d54133",
"outputIndex": 0,
"outputGlobalIndex": 50573603,
"outputCreatedAt": 1624764,
"outputSettledAt": 1624766,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: true\n7: 2\n8: 1\n9: 1\n10: 2\n11: 2\n12: 0\n13: 1\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: 0\n23: 3\n24: Coll(-87,-6,-35,10,-61,-82,-71,-19,111,-26,80,-6,103,93,64,99,-27,96,4,71,50,-114,-104,-83,-71,13,4,-7,-90,116,18,21)\n25: 1\n26: 0\n27: 0\n28: 1\n29: 127\n30: 3\n31: 2\n32: SigmaProp(ProveDlog(ECPoint(799727,a7f755,...)))\n33: 0\n34: 0\n35: 1\n36: true\n37: 1\n38: Coll(2,-114,-61,26,-54,-54,-90,-86,-74,-51,-119,-95,108,-85,95,-112,70,-49,-22,112,18,98,-8,-55,83,42,-50,67,48,117,53,58)\n39: 2\n40: 0\n41: 0\n42: false\n43: 1\n44: 0\n45: 1\n46: false\n47: 2\n48: 1\n49: 100\n50: 0\n51: 0\n52: 0\n53: 1\n54: 127\n55: 3\n56: 2\n57: false\n58: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n59: 100000\n60: 0\n61: 1\n62: false\n63: 1\n64: 0\n65: 0\n66: false\n67: 2\n68: 1\n69: 100\n70: 1\n71: 1\n72: 0\n73: 0\n74: 1\n75: false\n76: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n77: 100000",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val tuple4 = coll1(placeholder[Int](1))\n val coll5 = tuple4._1\n val box6 = OUTPUTS(placeholder[Int](2))\n val coll7 = box6.tokens\n val tuple8 = coll7(placeholder[Int](3))\n val i9 = SELF.R4[Int].get\n val l10 = SELF.R5[Long].get\n val l11 = SELF.R7[Long].get\n val bool12 = SELF.propositionBytes == box6.propositionBytes\n val i13 = coll7.size\n val bool14 = i13 == placeholder[Int](4)\n val tuple15 = coll7(placeholder[Int](5))\n val bool16 = (\n (\n (\n (\n ((((coll5 == tuple8._1) && (i9 == box6.R4[Int].get)) && (l10 == box6.R5[Long].get)) && (l11 == box6.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box6.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box6.R9[Coll[Byte]].get)\n ) && bool12\n ) && anyOf(Coll[Boolean](bool14, tuple15._1 == Coll[Byte](), placeholder[Boolean](6)))\n ) && (bool14 || (i13 == placeholder[Int](7)))\n val coll17 = SELF.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](8))\n val coll19 = box6.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](9))\n val bool21 = l18 == l20\n val l22 = coll17(placeholder[Int](10))\n val l23 = coll19(placeholder[Int](11))\n val bool24 = l22 == l23\n val l25 = tuple15._2\n val bool26 = if (bool3) { placeholder[Long](12) } else { coll1(placeholder[Int](13))._2 } == if (bool14) { placeholder[Long](14) } else { l25 }\n val l27 = tuple4._2\n val l28 = tuple8._2\n val l29 = l27 - l28\n val l30 = {(box30: Box) =>\n val coll32 = box30.tokens\n val coll33 = box30.R6[Coll[Long]].get\n if (coll32.size == placeholder[Int](15)) { placeholder[Long](16) } else { coll32(placeholder[Int](17))._2 } - coll33(placeholder[Int](18)) + coll33(\n placeholder[Int](19)\n ) + coll33(placeholder[Int](20))\n }(SELF)\n val l31 = box6.value\n val l32 = SELF.value\n val l33 = coll19(placeholder[Int](21))\n val l34 = coll17(placeholder[Int](22))\n val l35 = l33 - l34\n val bool36 = l34 == l33\n val l37 = l28 - l27\n val l38 = l20 - l18\n val l39 = l32 - l31\n val bool40 = OUTPUTS.size < placeholder[Int](23)\n val bool41 = l27 == l28\n val bool42 = l34 >= l10\n val coll43 = placeholder[Coll[Byte]](24)\n val box44 = OUTPUTS(placeholder[Int](25))\n val bool45 = l32 == l31\n val bool46 = allOf(Coll[Boolean](bool16, bool36, bool21, bool24, bool45, bool41))\n val func47 = {(tuple47: (SigmaProp, Box)) =>\n val coll49 = tuple47._2.propositionBytes\n val coll50 = tuple47._1.propBytes\n if (coll49(placeholder[Int](26)).toInt == placeholder[Int](27)) { coll49 == coll50 } else {(\n val i51 = coll49.size\n coll50.slice(placeholder[Int](28), coll50.size) == coll49.slice(\n if (i51 > placeholder[Int](29)) { placeholder[Int](30) } else { placeholder[Int](31) }, i51\n )\n )}\n }\n val prop48 = placeholder[SigmaProp](32)\n val l49 = if (bool14) { placeholder[Long](33) } else { l25 } - if (bool3) { placeholder[Long](34) } else { coll1(placeholder[Int](35))._2 }\n val l50 = !l49\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](36) } else { coll1(placeholder[Int](37))._1 == placeholder[Coll[Byte]](38) } && (bool3 || (i2 == placeholder[Int](39)))\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16, bool21, bool24, bool26)), l29 <= l30, l31 - l32 == l29 * l11, allOf(\n Coll[Boolean](l29 == l35, l35 > placeholder[Long](40))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16, bool36, bool24, bool26)), (HEIGHT > i9) && (l34 < l10), allOf(\n Coll[Boolean](l37 == l38, l38 > placeholder[Long](41))\n ), l39 == l37 * l11\n )\n ), if (bool40) { placeholder[Boolean](42) } else {(\n val l51 = if (bool12) { l39 } else { l32 }\n val coll52 = CONTEXT.dataInputs.filter({(box52: Box) => blake2b256(box52.propositionBytes) == coll43 })\n val bool53 = if (coll52.size == placeholder[Int](43)) {(\n val box53 = coll52(placeholder[Int](44))\n val opt54 = box53.R5[Coll[Byte]]\n val opt55 = box53.R8[Int]\n ((opt54.isDefined && (opt54.get == coll5)) && (opt55.isDefined && (opt55.get == placeholder[Int](45)))) && box53.R4[GroupElement].isDefined\n )} else { placeholder[Boolean](46) }\n val box54 = OUTPUTS(placeholder[Int](47))\n val l55 = l51 * placeholder[Int](48).toLong / placeholder[Long](49)\n ((((((((((bool16 || ((l51 == l32) && bool3)) && bool36) && bool21) && bool24) && bool41) && bool26) && bool42) && bool53) && if (bool53) {(\n val coll56 = box44.propositionBytes\n val coll57 = proveDlog(coll52(placeholder[Int](50)).R4[GroupElement].get).propBytes\n if (coll56(placeholder[Int](51)).toInt == placeholder[Int](52)) { coll56 == coll57 } else {(\n val i58 = coll56.size\n coll57.slice(placeholder[Int](53), coll57.size) == coll56.slice(if (i58 > placeholder[Int](54)) { placeholder[Int](55) } else { placeholder[Int](56) }, i58)\n )}\n )} else { placeholder[Boolean](57) }) && ((placeholder[Coll[Byte]](58) == blake2b256(box54.propositionBytes)) && (box54.value == l55))) && (\n box44.value == l51 - l55 - placeholder[Long](59)\n )\n )}, allOf(Coll[Boolean](bool46, func47((prop48, box44)), l49 < placeholder[Long](60), l50 <= l30)), if (INPUTS.size == placeholder[Int](61)) {\n placeholder[Boolean](62)\n } else { allOf(Coll[Boolean](bool46, func47((prop48, INPUTS(placeholder[Int](63)))), l49 > placeholder[Long](64))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16 || (bool45 && bool3), bool36, bool21, bool45)), bool42, l37 == l23 - l22, allOf(\n Coll[Boolean](l37 == l50, l37 > placeholder[Long](65))\n )\n )\n ), if (bool40) { placeholder[Boolean](66) } else {(\n val l51 = if (bool12) { l39 } else { l32 }\n val coll52 = INPUTS.filter({(box52: Box) => blake2b256(box52.propositionBytes) == coll43 })\n val coll53 = OUTPUTS.filter({(box53: Box) => blake2b256(box53.propositionBytes) == coll43 })\n val box54 = OUTPUTS(placeholder[Int](67))\n val l55 = l51 * placeholder[Int](68).toLong / placeholder[Long](69)\n (\n (\n (((((((bool16 || ((l51 == l32) && bool3)) && bool36) && bool21) && bool24) && bool41) && bool26) && bool42) && if ((\n coll52.size == placeholder[Int](70)\n ) && (coll53.size == placeholder[Int](71))) {(\n val box56 = coll52(placeholder[Int](72))\n val opt57 = box56.R5[Coll[Byte]]\n val opt58 = coll53(placeholder[Int](73)).R8[Int]\n ((opt57.isDefined && (opt57.get == coll5)) && (opt58.isDefined && (opt58.get == placeholder[Int](74)))) && box56.R4[GroupElement].isDefined\n )} else { placeholder[Boolean](75) }\n ) && ((placeholder[Coll[Byte]](76) == blake2b256(box54.propositionBytes)) && (box54.value == l55))\n ) && (box44.value == l51 - l55 - placeholder[Long](77))\n )}\n )\n )\n )\n}",
"address": "4rArHp4TqpVRbYs7pCXtTcYLhpTav8s6Ab6aw8Z9Pde3LxrCd3Xo5dc5xho4s9Tks4kyntGz2QY5Zq3w59tUnExy5HpYJbEmrMKeAggetTqxay8yy2i6XGLCBw4UVSgVpfTPXL2kHXZaPVA8wnDbqFsuQwG2GtGtAoGQjeoo4m7vBoeZjpUaHYkV8spe9UNyzHghEE3FReharTJJjh168tdgyEuutGQuUZQYjn6L4m5a8Rw8zPWjLvmwK8UknDWsLPot56tL7dQmW1RxowgWhA6mEbCBRvVs5Lc2NfHS85N7zsVV31kdmgJJjKkMq9tjF5ieenMUgf1yPxBGATy5gbPEXhVaxMsovFNASdQL29ka2onwCbqUjwpPkygmXiNKMLjFhnSVGG8KNjVw9JLysYGvZzseeK8YCok5Q1sXVvUKUebDooNFD7T1PfEMitg8Rn3tZEEFPEYCjkmC1QoxQBTL6fDKwoij2PAgRTwm6LJZt7setAC8C1CNVi5xkZ6YfLa1r227D1uMpnMuLg5KLBQm33EaprkJaswj16brjcn9xFuUbrmKgjUoDubY7bFonjKQvqA7G6kGjcYVkyDok18r4p8qSf7UpbsdvH8JTS2cHuLGP5GvaAWjacSD9MkTmzwv7LeyqSkiSjTpS7aYPsiuJdYmuZG7bSLGKdirjmdHfsJHkn9BwDg8rWwv8gCouHsFwbiYjbPrCuq38FvZbYFyoRzTtvUnteyFyLVoxJWTmvDZ8xLfnqMCdNfjwqr9g4BHHnk6rbZnkGsJWseSjYq3fTKEQ39gwspkQF2dcJp3EqXv4mmynao2ZjC8FofuA3tNtrUVj7PZkEyxDKpACvrkJox9VCcxBG8Lpqyu43WJ8UQkr4eqChY7WbpBQdS9M9f6xyKFsx8eboSca18UVtd7Yg3P9cAZGNZ1bcZMXm7J5onajH2nYgB7FQDDW9oKSPmzUL5y7paegTmripV9D3TAaamFBMrbi5UVWpyDd79zVMNoVTQg4xsvb9NsyZuWj71cyKBjpQowJy2uzaPs73MK6WRnw3RjjvbGubbydV7ijH8RwxN5iE8RR4zrzeds4syukMhLwZvsdv4UwAsy1MhRyQeoD8boo5XFJ3pREnE8GPmfu5v1iMsQSja1XV6ZpmUuQeg4xe7AsrPpEo5id54uJnJ9WzYLbRDixzrT7GBERPBPwXEhe56mzFCUhchK8hop1BUGpG1ot4fejXu18BWPDo7srCyHfK6VJSGNpX9zaPsGPseZvYNV5gYoDEHeFF4tudN18vex6fzDkhDNUxeihV2rZAEM5WULyvx6M9iwhYxN29BuPhdMW5vwdE2ZiM8vCwCHHYUriFjRzXYnFubbfiSwvAUSe45pNWf4gJbfM357j9L8FP99pmQoKvJBF4f9xr3aBW3grk35uDjqPWNtGUJaR2FWjuE2A9EDbsAEvEkBDpxhAqB8yYzhzGnLrEehz7MZph2rGSX9HrRtcXaFVLfv9HMmgcFy3uWoixThJjJoZoC5VVtxmZ4RkgSSc1VYsvWGDfDmjqfK9Uy8KGNoNs9zvngmpfcWDdXkK3s9sM27aMw9r1Li1qHRHxyEHV6aK7mcmjWDCqqVrZS3VsB6kevT9eQnMHgxRNVXPFnKdTtkFngCJ2cXsuJiBTeynHh9HakYpygnji8x8VQnkxoVp45mzM3TYNoSg37K4wseEbvpaYKQ6tUTLUjuDULpqZxp66rWvZLFkzDPPW5ikURpQdEcvT2sF7X4shQQR78GSEJnLsiBxbXVPXfuVk25Ya7eTuU4BLNtJSNYpa4wSRsGgM8PioUJnaZnBMu4FMTnZNsD5Z2ptVy42n4p1t7vYSVZptMLNGnobAbqB24GgNPT3y9A7TZWDhTd3iZ3L4JxZfLESnY51Dq5a8SZyDyMM4CaoE2uDyUJRm6cxVww6PZrpWcyqY66YC4GGRp5EK34jbP6GXytqqvfexjC8TWWBao6ViyQqLrnfhoXa5KsTQSVhbUBKRPGHSG3xcg2gBvBxtNfBxQNLh8UUbsj8p1yJaGV78oiazS533LQQR9mUKHwDEqPv7uRZ6AF83hD4Zo2X5X7U9WhZ8BqotHZ5WBZREJktK1AKohFNArKazbGDdf9mbSpPTjzd4VVBLbN6mhzXckK2jSkHEFMqF4SaWu9D2HQPW3WVm",
"assets": [
{
"tokenId": "0b5dc733a578c6d378778ff703c81a49437456dd2a1ad64a5a427be8d90890e7",
"index": 0,
"amount": 10000000000001,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 1,
"amount": 10,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R6": {
"serializedValue": "1103000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
},
"R8": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R7": {
"serializedValue": "05c09a0c",
"sigmaType": "SLong",
"renderedValue": "100000"
},
"R9": {
"serializedValue": "0e7e7b227469746c65223a225465737420626f756e7479222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22222c226a7564676573223a5b223968504d5a444d72476137675a6e5a3348744e77614c62796d6236646463476e3257744e376e6859485667343733796f6d6770225d7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a225465737420626f756e7479222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22222c226a7564676573223a5b223968504d5a444d72476137675a6e5a3348744e77614c62796d6236646463476e3257744e376e6859485667343733796f6d6770225d7d"
},
"R4": {
"serializedValue": "04b69bc701",
"sigmaType": "SInt",
"renderedValue": "1631963"
}
}
},
{
"boxId": "660656af746dbe35d6fbb5302ea34cc6e1e86cf11cd98db567e5f89df5566162",
"value": 1849022400,
"index": 1,
"spendingProof": "76d09f58cade58f06c17c386f31406ff4b251868e803c786413a5d5ebf94e3ef2ef7467e2729591d7958a5b3d37ae449279ef752a8140f09",
"outputBlockId": "c6bfa8967567a10f26749a5a800fcf3b4e93fbd968781f5f9bf78b55cd4ec886",
"outputTransactionId": "228559acdb50224723cc421a3f7e3f8b1e6a8a96b82ce592c2cc9bc6f8096a91",
"outputIndex": 2,
"outputGlobalIndex": 50573468,
"outputCreatedAt": 1624759,
"outputSettledAt": 1624761,
"ergoTree": "0008cd037997278992e996c5af9c4085e339b4224749113d748d39f3fd5295c68aae3fbb",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(799727,a7f755,...)))}",
"address": "9hPMZDMrGa7gZnZ3HtNwaLbymb6ddcGn2WtN7nhYHVg473yomgp",
"assets": [
{
"tokenId": "fd4d3f73341e25c26f7409fd8c5983e36eb6d1c3e55f7106ec16c51403f8e929",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "4a21313aed371c5baba4c744d376ffd45159157fb8c462b6c589f4bf64a0e334",
"index": 1,
"amount": 10,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "30974274078845f263b4f21787e33cc99e9ec19a17ad85a5bc6da2cca91c5a2e",
"index": 2,
"amount": 50000000000,
"name": "WT_ADA",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "ef802b475c06189fdbf844153cdc1d449a5ba87cce13d11bb47b5a539f27f12b",
"index": 3,
"amount": 25000000000,
"name": "WT_ERG",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "e91cbc48016eb390f8f872aa2962772863e2e840708517d1ab85e57451f91bed",
"index": 4,
"amount": 1200,
"name": "Ergold",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fbbaac7337d051c10fc3da0ccb864f4d32d40027551e1c3ea3ce361f39b91e40",
"index": 5,
"amount": 1200,
"name": "kushti",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 6,
"amount": 260000,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "5e82938b9efffd68393f12c42e3e5ca0d2b738abbff075a59dcf10db093a194e",
"transactionId": "c78c03dc37469cc408cc3938e4cc089866fb7b8bb804ae41e92601561ee697cd",
"blockId": "57c982ce57a0acb9cfe137bd15be09ac5da4b989ffc3f2904804c75b896ddbab",
"value": 2000000,
"index": 0,
"globalIndex": 50573669,
"creationHeight": 1624766,
"settlementHeight": 1624768,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: true\n7: 2\n8: 1\n9: 1\n10: 2\n11: 2\n12: 0\n13: 1\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: 0\n23: 3\n24: Coll(-87,-6,-35,10,-61,-82,-71,-19,111,-26,80,-6,103,93,64,99,-27,96,4,71,50,-114,-104,-83,-71,13,4,-7,-90,116,18,21)\n25: 1\n26: 0\n27: 0\n28: 1\n29: 127\n30: 3\n31: 2\n32: SigmaProp(ProveDlog(ECPoint(799727,a7f755,...)))\n33: 0\n34: 0\n35: 1\n36: true\n37: 1\n38: Coll(2,-114,-61,26,-54,-54,-90,-86,-74,-51,-119,-95,108,-85,95,-112,70,-49,-22,112,18,98,-8,-55,83,42,-50,67,48,117,53,58)\n39: 2\n40: 0\n41: 0\n42: false\n43: 1\n44: 0\n45: 1\n46: false\n47: 2\n48: 1\n49: 100\n50: 0\n51: 0\n52: 0\n53: 1\n54: 127\n55: 3\n56: 2\n57: false\n58: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n59: 100000\n60: 0\n61: 1\n62: false\n63: 1\n64: 0\n65: 0\n66: false\n67: 2\n68: 1\n69: 100\n70: 1\n71: 1\n72: 0\n73: 0\n74: 1\n75: false\n76: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n77: 100000",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val tuple4 = coll1(placeholder[Int](1))\n val coll5 = tuple4._1\n val box6 = OUTPUTS(placeholder[Int](2))\n val coll7 = box6.tokens\n val tuple8 = coll7(placeholder[Int](3))\n val i9 = SELF.R4[Int].get\n val l10 = SELF.R5[Long].get\n val l11 = SELF.R7[Long].get\n val bool12 = SELF.propositionBytes == box6.propositionBytes\n val i13 = coll7.size\n val bool14 = i13 == placeholder[Int](4)\n val tuple15 = coll7(placeholder[Int](5))\n val bool16 = (\n (\n (\n (\n ((((coll5 == tuple8._1) && (i9 == box6.R4[Int].get)) && (l10 == box6.R5[Long].get)) && (l11 == box6.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box6.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box6.R9[Coll[Byte]].get)\n ) && bool12\n ) && anyOf(Coll[Boolean](bool14, tuple15._1 == Coll[Byte](), placeholder[Boolean](6)))\n ) && (bool14 || (i13 == placeholder[Int](7)))\n val coll17 = SELF.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](8))\n val coll19 = box6.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](9))\n val bool21 = l18 == l20\n val l22 = coll17(placeholder[Int](10))\n val l23 = coll19(placeholder[Int](11))\n val bool24 = l22 == l23\n val l25 = tuple15._2\n val bool26 = if (bool3) { placeholder[Long](12) } else { coll1(placeholder[Int](13))._2 } == if (bool14) { placeholder[Long](14) } else { l25 }\n val l27 = tuple4._2\n val l28 = tuple8._2\n val l29 = l27 - l28\n val l30 = {(box30: Box) =>\n val coll32 = box30.tokens\n val coll33 = box30.R6[Coll[Long]].get\n if (coll32.size == placeholder[Int](15)) { placeholder[Long](16) } else { coll32(placeholder[Int](17))._2 } - coll33(placeholder[Int](18)) + coll33(\n placeholder[Int](19)\n ) + coll33(placeholder[Int](20))\n }(SELF)\n val l31 = box6.value\n val l32 = SELF.value\n val l33 = coll19(placeholder[Int](21))\n val l34 = coll17(placeholder[Int](22))\n val l35 = l33 - l34\n val bool36 = l34 == l33\n val l37 = l28 - l27\n val l38 = l20 - l18\n val l39 = l32 - l31\n val bool40 = OUTPUTS.size < placeholder[Int](23)\n val bool41 = l27 == l28\n val bool42 = l34 >= l10\n val coll43 = placeholder[Coll[Byte]](24)\n val box44 = OUTPUTS(placeholder[Int](25))\n val bool45 = l32 == l31\n val bool46 = allOf(Coll[Boolean](bool16, bool36, bool21, bool24, bool45, bool41))\n val func47 = {(tuple47: (SigmaProp, Box)) =>\n val coll49 = tuple47._2.propositionBytes\n val coll50 = tuple47._1.propBytes\n if (coll49(placeholder[Int](26)).toInt == placeholder[Int](27)) { coll49 == coll50 } else {(\n val i51 = coll49.size\n coll50.slice(placeholder[Int](28), coll50.size) == coll49.slice(\n if (i51 > placeholder[Int](29)) { placeholder[Int](30) } else { placeholder[Int](31) }, i51\n )\n )}\n }\n val prop48 = placeholder[SigmaProp](32)\n val l49 = if (bool14) { placeholder[Long](33) } else { l25 } - if (bool3) { placeholder[Long](34) } else { coll1(placeholder[Int](35))._2 }\n val l50 = !l49\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](36) } else { coll1(placeholder[Int](37))._1 == placeholder[Coll[Byte]](38) } && (bool3 || (i2 == placeholder[Int](39)))\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16, bool21, bool24, bool26)), l29 <= l30, l31 - l32 == l29 * l11, allOf(\n Coll[Boolean](l29 == l35, l35 > placeholder[Long](40))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16, bool36, bool24, bool26)), (HEIGHT > i9) && (l34 < l10), allOf(\n Coll[Boolean](l37 == l38, l38 > placeholder[Long](41))\n ), l39 == l37 * l11\n )\n ), if (bool40) { placeholder[Boolean](42) } else {(\n val l51 = if (bool12) { l39 } else { l32 }\n val coll52 = CONTEXT.dataInputs.filter({(box52: Box) => blake2b256(box52.propositionBytes) == coll43 })\n val bool53 = if (coll52.size == placeholder[Int](43)) {(\n val box53 = coll52(placeholder[Int](44))\n val opt54 = box53.R5[Coll[Byte]]\n val opt55 = box53.R8[Int]\n ((opt54.isDefined && (opt54.get == coll5)) && (opt55.isDefined && (opt55.get == placeholder[Int](45)))) && box53.R4[GroupElement].isDefined\n )} else { placeholder[Boolean](46) }\n val box54 = OUTPUTS(placeholder[Int](47))\n val l55 = l51 * placeholder[Int](48).toLong / placeholder[Long](49)\n ((((((((((bool16 || ((l51 == l32) && bool3)) && bool36) && bool21) && bool24) && bool41) && bool26) && bool42) && bool53) && if (bool53) {(\n val coll56 = box44.propositionBytes\n val coll57 = proveDlog(coll52(placeholder[Int](50)).R4[GroupElement].get).propBytes\n if (coll56(placeholder[Int](51)).toInt == placeholder[Int](52)) { coll56 == coll57 } else {(\n val i58 = coll56.size\n coll57.slice(placeholder[Int](53), coll57.size) == coll56.slice(if (i58 > placeholder[Int](54)) { placeholder[Int](55) } else { placeholder[Int](56) }, i58)\n )}\n )} else { placeholder[Boolean](57) }) && ((placeholder[Coll[Byte]](58) == blake2b256(box54.propositionBytes)) && (box54.value == l55))) && (\n box44.value == l51 - l55 - placeholder[Long](59)\n )\n )}, allOf(Coll[Boolean](bool46, func47((prop48, box44)), l49 < placeholder[Long](60), l50 <= l30)), if (INPUTS.size == placeholder[Int](61)) {\n placeholder[Boolean](62)\n } else { allOf(Coll[Boolean](bool46, func47((prop48, INPUTS(placeholder[Int](63)))), l49 > placeholder[Long](64))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16 || (bool45 && bool3), bool36, bool21, bool45)), bool42, l37 == l23 - l22, allOf(\n Coll[Boolean](l37 == l50, l37 > placeholder[Long](65))\n )\n )\n ), if (bool40) { placeholder[Boolean](66) } else {(\n val l51 = if (bool12) { l39 } else { l32 }\n val coll52 = INPUTS.filter({(box52: Box) => blake2b256(box52.propositionBytes) == coll43 })\n val coll53 = OUTPUTS.filter({(box53: Box) => blake2b256(box53.propositionBytes) == coll43 })\n val box54 = OUTPUTS(placeholder[Int](67))\n val l55 = l51 * placeholder[Int](68).toLong / placeholder[Long](69)\n (\n (\n (((((((bool16 || ((l51 == l32) && bool3)) && bool36) && bool21) && bool24) && bool41) && bool26) && bool42) && if ((\n coll52.size == placeholder[Int](70)\n ) && (coll53.size == placeholder[Int](71))) {(\n val box56 = coll52(placeholder[Int](72))\n val opt57 = box56.R5[Coll[Byte]]\n val opt58 = coll53(placeholder[Int](73)).R8[Int]\n ((opt57.isDefined && (opt57.get == coll5)) && (opt58.isDefined && (opt58.get == placeholder[Int](74)))) && box56.R4[GroupElement].isDefined\n )} else { placeholder[Boolean](75) }\n ) && ((placeholder[Coll[Byte]](76) == blake2b256(box54.propositionBytes)) && (box54.value == l55))\n ) && (box44.value == l51 - l55 - placeholder[Long](77))\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "0b5dc733a578c6d378778ff703c81a49437456dd2a1ad64a5a427be8d90890e7",
"index": 0,
"amount": 9999999999991,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 1,
"amount": 10,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R6": {
"serializedValue": "1103140000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,0,0]"
},
"R8": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b2263726561746f72223a223968504d5a444d72476137675a6e5a3348744e77614c62796d6236646463476e3257744e376e6859485667343733796f6d6770222c226465765f61646472223a2267724e63676866536754537a546b7462325a416b3178714b79423634466d6b4b4b7051444c46675551707a6d4369424379565953396231364355684b3959474b79544a3575693545675977464477416f75546b50507231347853377455436e484c353975513173626264356559696442677335544232656139696a4e6459395a5050667638597642735172337a335976337946595956747a6372646448444d6d553278397550395a4576796f486d55326a544c6d3155726b794d4e3243675265536e6975506b696e32534b55583157666a595642646f5563533966374b535157783832357048566355465a627a69783261486b467972714c644a4747596f767862527452337233465831444d374839353363526e64704c565537556562507563564a65554c45633273706244795874776365556159516231706a76476d7174675355466852624b66473754484e554d78797541514c70364d6b424475446e7a3635766e4165694568746779644278654c53525773474b733558557648703633637a5546654262676773536775623956724e687a566b655a50416e476969506d543353635833374b4674334c506d587837616847545434426367364c7a56666738314771383968444c6e57617776724a6b68797039314b684e6b5138756b70714a724269336b4c63754873413861594c4c426f37694c5577786259797936665376785a6173794b4c573734726875667454514a5262533877327950384a4d6a414d65414150222c226465765f68617368223a2231326634346532636331366365646331633934663931626563613332643631613037653363383131383537373034316464353961666336623136303461333337222c226465765f666565223a312c22746f6b656e5f6964223a2230323865633331616361636161366161623663643839613136636162356639303436636665613730313236326638633935333261636534333330373533353361227d"
},
"R7": {
"serializedValue": "05c09a0c",
"sigmaType": "SLong",
"renderedValue": "100000"
},
"R9": {
"serializedValue": "0e7e7b227469746c65223a225465737420626f756e7479222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22222c226a7564676573223a5b223968504d5a444d72476137675a6e5a3348744e77614c62796d6236646463476e3257744e376e6859485667343733796f6d6770225d7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a225465737420626f756e7479222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22222c226a7564676573223a5b223968504d5a444d72476137675a6e5a3348744e77614c62796d6236646463476e3257744e376e6859485667343733796f6d6770225d7d"
},
"R4": {
"serializedValue": "04b69bc701",
"sigmaType": "SInt",
"renderedValue": "1631963"
}
},
"spentTransactionId": "0059a95e186dcf7acc74a108e8889b8f09d0ee70da17b3277cfb1423d572d836",
"mainChain": true
},
{
"boxId": "a98a110a6b99a8898d8d69cf55657417cacab6dc5dca1aa624bd30f4570e2088",
"transactionId": "c78c03dc37469cc408cc3938e4cc089866fb7b8bb804ae41e92601561ee697cd",
"blockId": "57c982ce57a0acb9cfe137bd15be09ac5da4b989ffc3f2904804c75b896ddbab",
"value": 1000000,
"index": 1,
"globalIndex": 50573670,
"creationHeight": 1624766,
"settlementHeight": 1624768,
"ergoTree": "0008cd037997278992e996c5af9c4085e339b4224749113d748d39f3fd5295c68aae3fbb",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(799727,a7f755,...)))}",
"address": "9hPMZDMrGa7gZnZ3HtNwaLbymb6ddcGn2WtN7nhYHVg473yomgp",
"assets": [
{
"tokenId": "0b5dc733a578c6d378778ff703c81a49437456dd2a1ad64a5a427be8d90890e7",
"index": 0,
"amount": 10,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {},
"spentTransactionId": "3cb101f4e784a94adb351629c8e188b3590c5d6ef3704a9e9fc67c27ee2f94de",
"mainChain": true
},
{
"boxId": "56b6babe6425f045ea026e3a470632875eaaa8570bfcad3f2b8affbb331ee5d5",
"transactionId": "c78c03dc37469cc408cc3938e4cc089866fb7b8bb804ae41e92601561ee697cd",
"blockId": "57c982ce57a0acb9cfe137bd15be09ac5da4b989ffc3f2904804c75b896ddbab",
"value": 1100000,
"index": 2,
"globalIndex": 50573671,
"creationHeight": 1624766,
"settlementHeight": 1624768,
"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": "a8d32a4a7bc5e7ab88a98ba9a4f6a876320c09c04cd4e32e832846e2a408d835",
"mainChain": true
},
{
"boxId": "4a91dcd0ecd4fa626991ddc84fdffca24840964f2c4cff62074d49fb228dfde5",
"transactionId": "c78c03dc37469cc408cc3938e4cc089866fb7b8bb804ae41e92601561ee697cd",
"blockId": "57c982ce57a0acb9cfe137bd15be09ac5da4b989ffc3f2904804c75b896ddbab",
"value": 1845922400,
"index": 3,
"globalIndex": 50573672,
"creationHeight": 1624766,
"settlementHeight": 1624768,
"ergoTree": "0008cd037997278992e996c5af9c4085e339b4224749113d748d39f3fd5295c68aae3fbb",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(799727,a7f755,...)))}",
"address": "9hPMZDMrGa7gZnZ3HtNwaLbymb6ddcGn2WtN7nhYHVg473yomgp",
"assets": [
{
"tokenId": "fd4d3f73341e25c26f7409fd8c5983e36eb6d1c3e55f7106ec16c51403f8e929",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "4a21313aed371c5baba4c744d376ffd45159157fb8c462b6c589f4bf64a0e334",
"index": 1,
"amount": 10,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "30974274078845f263b4f21787e33cc99e9ec19a17ad85a5bc6da2cca91c5a2e",
"index": 2,
"amount": 50000000000,
"name": "WT_ADA",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "ef802b475c06189fdbf844153cdc1d449a5ba87cce13d11bb47b5a539f27f12b",
"index": 3,
"amount": 25000000000,
"name": "WT_ERG",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "e91cbc48016eb390f8f872aa2962772863e2e840708517d1ab85e57451f91bed",
"index": 4,
"amount": 1200,
"name": "Ergold",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fbbaac7337d051c10fc3da0ccb864f4d32d40027551e1c3ea3ce361f39b91e40",
"index": 5,
"amount": 1200,
"name": "kushti",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 6,
"amount": 260000,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "3cb101f4e784a94adb351629c8e188b3590c5d6ef3704a9e9fc67c27ee2f94de",
"mainChain": true
}
],
"size": 3204,
"isUnconfirmed": false
}