Transaction
ID: c5300764f8...3fcc
Inputs (8)
Spent
Address:
Output transaction:
Settlement height:
Value:
17,584.39 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
2.15 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00006 ERG
Tokens:
6,105.60
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00006 ERG
Tokens:
3,103.40
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000045 ERG
Tokens:
710.50
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000045 ERG
Tokens:
410.30
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000045 ERG
Tokens:
710.50
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000045 ERG
Tokens:
310.20
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
17,584.49 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.05 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 154,262
Total coins transferred: 17,586.54 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000228 ERG
Raw Transaction Data
{
"id": "c5300764f8371bd05a1c500c5c5f1009ebc3ec6a1209133052fcb3c75acb3fcc",
"blockId": "d0c782b8adda50efec65bdd088e053d325217d48cb3275b30ed846c93eb8c167",
"inclusionHeight": 1614333,
"timestamp": 1758078768300,
"index": 3,
"globalIndex": 9488490,
"numConfirmations": 154262,
"inputs": [
{
"boxId": "529dab01c892220c4ffadc531611a472724af3545be265e15067692e3717388b",
"value": 17584385182107,
"index": 0,
"spendingProof": null,
"outputBlockId": "b3d24e4e353a9a7574d9e74c112781dc96957261cf41ee24dd9f953781f723e3",
"outputTransactionId": "cbb449e7d0abe04f7dc4813c2472d70bffa72ec4da76db633edb3525bb05434f",
"outputIndex": 0,
"outputGlobalIndex": 50296184,
"outputCreatedAt": 1610854,
"outputSettledAt": 1613897,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: 0\n8: CBigInt(1000000000)\n9: CBigInt(1000)\n10: 1000000\n11: CBigInt(66)\n12: CBigInt(100)\n13: CBigInt(4)\n14: CBigInt(0)\n15: CBigInt(5)\n16: Coll(16,37,4,0,4,0,4,2,4,2,4,2,4,0,14,32,-47,-55,-30,6,87,-76,-29,125,-29,-51,39,-102,-103,66,102,-37,52,-79,-114,110,120,99,113,-125,42,-48,20,-3,70,88,49,-104,4,4,4,0,4,0,4,0,4,2,14,32,123,-94,-88,95,-37,48,42,24,21,120,-79,-10,76,-76,-91,51,-40,-101,63,-115,-28,21,-98,-2,-50,117,-38,65,4,21,55,-7,5,0,4,4,5,-56,1,5)\n17: CBigInt(1)\n18: 1\n19: 0\n20: 1\n21: 2\n22: 3\n23: CBigInt(1000000)\n24: true\n25: 3\n26: 4\n27: CBigInt(1000000)\n28: true\n29: true\n30: 1\n31: 0\n32: Coll(17,-102,6,-118,1,25,103,13,-24,-91,-46,70,125,-93,61,-11,114,-112,60,100,-86,-89,-74,-22,76,-106,104,-17,12,-2,3,37)\n33: CBigInt(1000000)\n34: true\n35: true\n36: 0\n37: 35\n38: 0\n39: 0\n40: Coll(60,69,-14,-102,81,101,-80,48,-3,-75,-22,-11,-40,31,-127,8,-7,-40,-11,7,-77,20,-121,-35,81,-12,-82,8,-2,7,-49,74)\n41: true\n42: CBigInt(200)\n43: true\n44: 720\n45: 0\n46: 0\n47: 14\n48: CBigInt(200)\n49: CBigInt(2)\n50: true\n51: 14\n52: 0\n53: 0\n54: 0\n55: 14\n56: 0\n57: 1\n58: 14\n59: 1\n60: 14\n61: 1\n62: 0\n63: 14\n64: 0\n65: 0\n66: 0\n67: 14\n68: 0\n69: 1\n70: 14\n71: 1\n72: 14\n73: 1\n74: 0\n75: 720\n76: 720\n77: 720\n78: 14\n79: 14\n80: 0\n81: 0\n82: 14\n83: true\n84: CBigInt(200)\n85: CBigInt(2)\n86: 14\n87: 0\n88: 0\n89: 0\n90: 14\n91: 0\n92: 1\n93: 14\n94: 1\n95: 14\n96: 1\n97: 0\n98: 14\n99: 0\n100: 0\n101: 0\n102: 14\n103: 0\n104: 1\n105: 14\n106: 1\n107: 14\n108: 1\n109: 0\n110: 720\n111: 720\n112: false\n113: 1\n114: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS(placeholder[Int](0))\n val coll3 = box2.tokens\n val tuple4 = coll1(placeholder[Int](1))\n val tuple5 = coll3(placeholder[Int](2))\n val tuple6 = coll1(placeholder[Int](3))\n val tuple7 = coll3(placeholder[Int](4))\n val tuple8 = SELF.R4[(Long, Long)].get\n val bool9 = tuple8 == box2.R4[(Long, Long)].get\n val prop10 = SELF.R5[SigmaProp].get\n val prop11 = box2.R5[SigmaProp].get\n val tuple12 = SELF.R6[(Long, Long)].get\n val l13 = tuple12._2\n val tuple14 = box2.R6[(Long, Long)].get\n val l15 = tuple14._2\n val bool16 = allOf(\n Coll[Boolean](\n coll1(placeholder[Int](5))._1 == coll3(\n placeholder[Int](6)\n )._1, tuple4._1 == tuple5._1, tuple6._1 == tuple7._1, SELF.propositionBytes == box2.propositionBytes, bool9, prop10 == prop11, l13 == l15\n )\n )\n val l17 = tuple4._2\n val l18 = tuple5._2\n val bool19 = l17 > l18\n val l20 = tuple6._2\n val l21 = tuple7._2\n val bool22 = l20 > l21\n val l23 = SELF.value\n val l24 = box2.value\n val bool25 = allOf(Coll[Boolean](bool16, bool19, bool22, l23 < l24))\n val bool26 = l17 < l18\n val bool27 = l20 < l21\n val bool28 = allOf(Coll[Boolean](bool16, bool26, bool27, l23 > l24))\n val bool29 = l23 == l24\n val bool30 = allOf(Coll[Boolean](bool16, bool19, bool27, bool29))\n val bool31 = allOf(Coll[Boolean](bool16, bool26, bool22, bool29))\n val box32 = CONTEXT.dataInputs(placeholder[Int](7))\n val l33 = tuple12._1\n val coll34 = prop10.propBytes\n val coll35 = SELF.R7[Coll[Long]].get\n val coll36 = box2.R7[Coll[Long]].get\n val coll37 = SELF.R8[Coll[Long]].get\n val coll38 = box2.R8[Coll[Long]].get\n val l39 = SELF.R9[Long].get\n val l40 = box2.R9[Long].get\n if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n val bi41 = tuple8._1 - l17.toBigInt\n val bi42 = placeholder[BigInt](8)\n val bi43 = placeholder[BigInt](9)\n val bi44 = l23 - placeholder[Long](10).toBigInt\n val bi45 = tuple8._2 - l20.toBigInt\n val opt46 = getVar[SigmaProp](0.toByte)\n val bi47 = min(placeholder[BigInt](11) * bi42 / placeholder[BigInt](12), bi41 * box32.R4[Long].get.toBigInt / bi43 / bi44)\n val bi48 = bi42 - bi47\n val func49 = {(l49: Long) => l49.toBigInt * bi48 * bi44 / bi45 / bi42 }\n val func50 = {(l50: Long) => l50.toBigInt * bi47 * bi44 / bi41 / bi42 }\n val bi51 = if (bool25) { l24 - l23.toBigInt } else {\n if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func49(l21 - l20) } else { func50(l18 - l17) } }\n }\n val bi52 = placeholder[BigInt](13) * bi51 / bi43\n val bi53 = placeholder[BigInt](14)\n val tuple54 = (coll34, if (l33 < l13) { placeholder[BigInt](15) * bi51 / bi43 * l13 - l33.toBigInt / l13.toBigInt } else { bi53 })\n val tuple55 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi51 / bi43)\n val tuple56 = (Coll[Byte](placeholder[Byte](18)), bi53)\n val coll57 = if (bool31 || bool30) {\n if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, tuple55, (opt46.get.propBytes, bi52)) } else {\n Coll[(Coll[Byte], BigInt)](tuple54, tuple55, tuple56)\n }\n } else {\n if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, (opt46.get.propBytes, bi52), tuple56) } else {\n Coll[(Coll[Byte], BigInt)](tuple54, tuple56, tuple56)\n }\n }\n val tuple58 = coll57(placeholder[Int](19))\n val bi59 = tuple58._2\n val tuple60 = coll57(placeholder[Int](20))\n val bi61 = tuple60._2\n val box62 = OUTPUTS(placeholder[Int](21))\n val coll63 = tuple60._1\n val bool64 = bi61 > bi53\n val bool65 = allOf(Coll[Boolean]((if (bi59 > bi53) {(\n val box65 = if (bi61 <= bi53) { box62 } else { OUTPUTS(placeholder[Int](22)) }\n allOf(Coll[Boolean](box65.propositionBytes == tuple58._1, box65.value.toBigInt == bi59 + placeholder[BigInt](23)))\n )} else { placeholder[Boolean](24) } && if (opt46.isDefined) { if (bool64) {(\n val box65 = if (bi61 <= bi53) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n allOf(Coll[Boolean](box65.propositionBytes == coll63, box65.value.toBigInt == bi61 + placeholder[BigInt](27)))\n )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool64) {(\n val coll65 = box62.propositionBytes\n val box66 = INPUTS(INPUTS.size - placeholder[Int](30))\n allOf(Coll[Boolean](coll65 == coll63, coll65 == box66.propositionBytes, box62.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box62.value.toBigInt == box66.value.toBigInt + bi61 + placeholder[BigInt](33)))\n )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l33.toBigInt == bi59, l15 == l13))\n val bool66 = allOf(Coll[Boolean](coll35 == coll36, coll37 == coll38, l39 == l40))\n val func67 = {(coll67: Coll[Long]) => coll67.fold(placeholder[Long](36), {(tuple69: (Long, Long)) => tuple69._1 + tuple69._2 }).toBigInt }\n val i68 = HEIGHT - box32.creationInfo._1\n val bool69 = allOf(\n Coll[Boolean]((i68 < placeholder[Int](37)) && (i68 >= placeholder[Int](38)), box32.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n )\n if (bool25) {(\n val bi70 = l24 - l23.toBigInt\n val bi71 = bi42 - bi42 / bi43\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool16, l17 - l18.toBigInt == bi70 * bi41 * bi71 / bi44 / bi42, l20 - l21.toBigInt == bi70 * bi45 * bi71 / bi44 / bi42, placeholder[Boolean](\n 41\n ), bool65, bool66\n )\n )\n )\n )} else { if (bool28) {(\n val bi70 = l23 - l24.toBigInt\n val bi71 = bi44 * bi42 - bi42 / placeholder[BigInt](42)\n sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi70 * bi41 * bi42 / bi71, l21 - l20.toBigInt == bi70 * bi45 * bi42 / bi71, placeholder[Boolean](43), bool65, bool66)))\n )} else { if (bool30) {(\n val l70 = l21 - l20\n val bi71 = func67(coll38)\n val bi72 = func67(coll36)\n val i73 = HEIGHT.toLong - l39 / placeholder[Int](44).toLong.toInt\n val bool74 = i73 == placeholder[Int](45)\n val bool75 = i73 > placeholder[Int](46)\n val i76 = placeholder[Int](47) - i73\n sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](48) + bi42 / placeholder[BigInt](49) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi45 * bi48 * bi41 / bi42 / bi47, placeholder[Boolean](50), l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll38.size == placeholder[Int](51), if (bool74) { coll37(placeholder[Int](52)) } else { placeholder[Long](53) } == coll38(placeholder[Int](54)), if (bool75) { coll38.slice(i73, placeholder[Int](55)) == coll37.slice(placeholder[Int](56), i76) } else { coll38.slice(placeholder[Int](57), placeholder[Int](58)) == coll37.slice(placeholder[Int](59), placeholder[Int](60)) }, coll38.slice(placeholder[Int](61), i73).forall({(l77: Long) => l77 == placeholder[Long](62) }))), allOf(Coll[Boolean](coll36.size == placeholder[Int](63), coll36(placeholder[Int](64)).toBigInt == if (bool74) { coll35(placeholder[Int](65)) } else { placeholder[Long](66) }.toBigInt + func49(l70), if (bool75) { coll36.slice(i73, placeholder[Int](67)) == coll35.slice(placeholder[Int](68), i76) } else { coll36.slice(placeholder[Int](69), placeholder[Int](70)) == coll35.slice(placeholder[Int](71), placeholder[Int](72)) }, coll36.slice(placeholder[Int](73), i73).forall({(l77: Long) => l77 == placeholder[Long](74) }))), l40 == HEIGHT / placeholder[Int](75) * placeholder[Int](76).toLong, bool69)))\n )} else { if (bool31) {(\n val l70 = l18 - l17\n val bi71 = func67(coll36)\n val bi72 = func67(coll38)\n val i73 = HEIGHT.toLong - l39 / placeholder[Int](77).toLong.toInt\n val i74 = if (i73 >= placeholder[Int](78)) { placeholder[Int](79) } else { i73 }\n val bool75 = i74 == placeholder[Int](80)\n val bool76 = i74 > placeholder[Int](81)\n val i77 = placeholder[Int](82) - i74\n sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](83), l20 - l21.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](84) + bi42 / placeholder[BigInt](85) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi41 * bi47 * bi45 / bi42 / bi48, l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll36.size == placeholder[Int](86), if (bool75) { coll35(placeholder[Int](87)) } else { placeholder[Long](88) } == coll36(placeholder[Int](89)), if (bool76) { coll36.slice(i74, placeholder[Int](90)) == coll35.slice(placeholder[Int](91), i77) } else { coll36.slice(placeholder[Int](92), placeholder[Int](93)) == coll35.slice(placeholder[Int](94), placeholder[Int](95)) }, coll36.slice(placeholder[Int](96), i74).forall({(l78: Long) => l78 == placeholder[Long](97) }))), allOf(Coll[Boolean](coll38.size == placeholder[Int](98), coll38(placeholder[Int](99)).toBigInt == if (bool75) { coll37(placeholder[Int](100)) } else { placeholder[Long](101) }.toBigInt + func50(l70), if (bool76) { coll38.slice(i74, placeholder[Int](102)) == coll37.slice(placeholder[Int](103), i77) } else { coll38.slice(placeholder[Int](104), placeholder[Int](105)) == coll37.slice(placeholder[Int](106), placeholder[Int](107)) }, coll38.slice(placeholder[Int](108), i74).forall({(l78: Long) => l78 == placeholder[Long](109) }))), l40 == HEIGHT / placeholder[Int](110) * placeholder[Int](111).toLong, bool69)))\n )} else { sigmaProp(placeholder[Boolean](112)) } } } }\n )} else {\n if (INPUTS(placeholder[Int](113)).propositionBytes == coll34) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll35 == coll36, coll37 == coll38, l39 == l40)), prop11 != prop10\n )\n )\n ) && prop10\n } else { sigmaProp(placeholder[Boolean](114)) }\n }\n}",
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"outputCreatedAt": 1609290,
"outputSettledAt": 1609293,
"ergoTree": "0008cd0378cfb0e01542597d6ce6b4c05b3378e9cf1a71956e245c11a09b59105d350a89",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(78cfb0,be51b9,...)))}",
"address": "9hP1esWQrsUsLNALkDikV4G6M41i2aFEzBeKYwPpM5BhUE7qV79",
"assets": [
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 0,
"amount": 7105,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "3073d80a27d43b8c771d6e75d1ee73cb341465ed659bdd820885f25558fa407a",
"value": 45000,
"index": 5,
"spendingProof": "d9535aee20a9fa6b632d57f158a27164d7f851e32f635bf12964e9eadaf176cb1f5cbb66e53d85ef07c1d9fe0a119d78686cff972915f2fc",
"outputBlockId": "aaa749872554357fb65e489263d5053709690a9c3f048050b0bb8d1e8762e128",
"outputTransactionId": "6f38d4049a3efc07ef79935d5dd3e8c1d1963b6e05c630f76ade2fe1346b3c94",
"outputIndex": 203,
"outputGlobalIndex": 50060158,
"outputCreatedAt": 1609290,
"outputSettledAt": 1609339,
"ergoTree": "0008cd038699f61a56bdd9153eb18214d501b2bff990a8fb4a3b5698875ad330b04229a0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8699f6,cd2aad,...)))}",
"address": "9hV5uNmUJvfwxkpo1668tdqa2opvXZ9a9AH36TyXUoeMn6TbJRV",
"assets": [
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 0,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "71cfa3870dfb49e0dd80b8fee645738aeb4114a32f1bef3ef8a1a1caf6afebc0",
"value": 45000,
"index": 6,
"spendingProof": "2a840f767b9a9b40b142408cef4df6c7d9915e5dfc2b165aa1145ac247239439130eb0aab8d33cc01fc35c03d1c720a971fdbf165052889a",
"outputBlockId": "f0448b9beae2a75c658f333c5ce1e1d2ce27732de54b39f37c4e3086f381725c",
"outputTransactionId": "70f3ec45728dcb03543a903421c2c3a21e19881b313a3283c39a2267478b18d6",
"outputIndex": 247,
"outputGlobalIndex": 50080925,
"outputCreatedAt": 1609357,
"outputSettledAt": 1609361,
"ergoTree": "0008cd0378cfb0e01542597d6ce6b4c05b3378e9cf1a71956e245c11a09b59105d350a89",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(78cfb0,be51b9,...)))}",
"address": "9hP1esWQrsUsLNALkDikV4G6M41i2aFEzBeKYwPpM5BhUE7qV79",
"assets": [
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 0,
"amount": 7105,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "f1ba0acb3dbef507ffa679005719ec1c41fe0dc6dd59fe8b5345aa0d7d1d6aa6",
"value": 45000,
"index": 7,
"spendingProof": "1c7fef10b0646fe58803f6e1e2e6aa90b7748e6b73f6c624c19077e0b1edfef22162bbbe25680cec3a5545b59e25e24e62a0135bc3aace5f",
"outputBlockId": "f0448b9beae2a75c658f333c5ce1e1d2ce27732de54b39f37c4e3086f381725c",
"outputTransactionId": "299751556afdb3e5f15ad2ba43be7e1c56d633991ffb7b7f41240ee5755d08ec",
"outputIndex": 203,
"outputGlobalIndex": 50092659,
"outputCreatedAt": 1609357,
"outputSettledAt": 1609361,
"ergoTree": "0008cd038699f61a56bdd9153eb18214d501b2bff990a8fb4a3b5698875ad330b04229a0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8699f6,cd2aad,...)))}",
"address": "9hV5uNmUJvfwxkpo1668tdqa2opvXZ9a9AH36TyXUoeMn6TbJRV",
"assets": [
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 0,
"amount": 3102,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "4de8c2aa1f8f97c8e7c18cb7a48e17b8e3ce7da4f6d6fe5f4a10936ab2930432",
"value": 10000000,
"index": 0,
"outputBlockId": "1eff50fd07f5875be53799e7a9482ea23876e431ee477d596ef6a2e153ad84bf",
"outputTransactionId": "69ece0fc61b22df960b80aa10f521dbaa4edc020b103afd5ef43974f96cfea68",
"outputIndex": 0,
"ergoTree": "1004040204000e2097ad159235d25d05d7efc5863b5d360f89d7d668409502058be3e7aac177b9cb0e20a40bedb08a32c0258405f950af5a133c397630f89f7d31fb00b3ab9811d29e6ad801d6018cb2db6308b2a473000073010001d1ec93720173029372017303",
"address": "PViBL5acX6PqzhnRzKkXN48Rr2SNWspChGAVUHFtGjhNK7dzGm3VeJdkgvzySx5uSWsyekihaxdVpuvhz4MqNZjU8FkwYZUzUC8AL3pFNifisCSrLywNWehhxGz8EJpyuCdtofhUFVw6qNEsvCP2",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05c0b78c998ac343",
"sigmaType": "SLong",
"renderedValue": "148486977850848"
},
"R5": {
"serializedValue": "04948202",
"sigmaType": "SInt",
"renderedValue": "16522"
}
}
}
],
"outputs": [
{
"boxId": "2991d72be8782b84f6ce1cb59ab3d04723b43a87ba172783f63fd20ad8064527",
"transactionId": "c5300764f8371bd05a1c500c5c5f1009ebc3ec6a1209133052fcb3c75acb3fcc",
"blockId": "d0c782b8adda50efec65bdd088e053d325217d48cb3275b30ed846c93eb8c167",
"value": 17584485182107,
"index": 0,
"globalIndex": 50310107,
"creationHeight": 1610854,
"settlementHeight": 1614333,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: 0\n8: CBigInt(1000000000)\n9: CBigInt(1000)\n10: 1000000\n11: CBigInt(66)\n12: CBigInt(100)\n13: CBigInt(4)\n14: CBigInt(0)\n15: CBigInt(5)\n16: Coll(16,37,4,0,4,0,4,2,4,2,4,2,4,0,14,32,-47,-55,-30,6,87,-76,-29,125,-29,-51,39,-102,-103,66,102,-37,52,-79,-114,110,120,99,113,-125,42,-48,20,-3,70,88,49,-104,4,4,4,0,4,0,4,0,4,2,14,32,123,-94,-88,95,-37,48,42,24,21,120,-79,-10,76,-76,-91,51,-40,-101,63,-115,-28,21,-98,-2,-50,117,-38,65,4,21,55,-7,5,0,4,4,5,-56,1,5)\n17: CBigInt(1)\n18: 1\n19: 0\n20: 1\n21: 2\n22: 3\n23: CBigInt(1000000)\n24: true\n25: 3\n26: 4\n27: CBigInt(1000000)\n28: true\n29: true\n30: 1\n31: 0\n32: Coll(17,-102,6,-118,1,25,103,13,-24,-91,-46,70,125,-93,61,-11,114,-112,60,100,-86,-89,-74,-22,76,-106,104,-17,12,-2,3,37)\n33: CBigInt(1000000)\n34: true\n35: true\n36: 0\n37: 35\n38: 0\n39: 0\n40: Coll(60,69,-14,-102,81,101,-80,48,-3,-75,-22,-11,-40,31,-127,8,-7,-40,-11,7,-77,20,-121,-35,81,-12,-82,8,-2,7,-49,74)\n41: true\n42: CBigInt(200)\n43: true\n44: 720\n45: 0\n46: 0\n47: 14\n48: CBigInt(200)\n49: CBigInt(2)\n50: true\n51: 14\n52: 0\n53: 0\n54: 0\n55: 14\n56: 0\n57: 1\n58: 14\n59: 1\n60: 14\n61: 1\n62: 0\n63: 14\n64: 0\n65: 0\n66: 0\n67: 14\n68: 0\n69: 1\n70: 14\n71: 1\n72: 14\n73: 1\n74: 0\n75: 720\n76: 720\n77: 720\n78: 14\n79: 14\n80: 0\n81: 0\n82: 14\n83: true\n84: CBigInt(200)\n85: CBigInt(2)\n86: 14\n87: 0\n88: 0\n89: 0\n90: 14\n91: 0\n92: 1\n93: 14\n94: 1\n95: 14\n96: 1\n97: 0\n98: 14\n99: 0\n100: 0\n101: 0\n102: 14\n103: 0\n104: 1\n105: 14\n106: 1\n107: 14\n108: 1\n109: 0\n110: 720\n111: 720\n112: false\n113: 1\n114: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS(placeholder[Int](0))\n val coll3 = box2.tokens\n val tuple4 = coll1(placeholder[Int](1))\n val tuple5 = coll3(placeholder[Int](2))\n val tuple6 = coll1(placeholder[Int](3))\n val tuple7 = coll3(placeholder[Int](4))\n val tuple8 = SELF.R4[(Long, Long)].get\n val bool9 = tuple8 == box2.R4[(Long, Long)].get\n val prop10 = SELF.R5[SigmaProp].get\n val prop11 = box2.R5[SigmaProp].get\n val tuple12 = SELF.R6[(Long, Long)].get\n val l13 = tuple12._2\n val tuple14 = box2.R6[(Long, Long)].get\n val l15 = tuple14._2\n val bool16 = allOf(\n Coll[Boolean](\n coll1(placeholder[Int](5))._1 == coll3(\n placeholder[Int](6)\n )._1, tuple4._1 == tuple5._1, tuple6._1 == tuple7._1, SELF.propositionBytes == box2.propositionBytes, bool9, prop10 == prop11, l13 == l15\n )\n )\n val l17 = tuple4._2\n val l18 = tuple5._2\n val bool19 = l17 > l18\n val l20 = tuple6._2\n val l21 = tuple7._2\n val bool22 = l20 > l21\n val l23 = SELF.value\n val l24 = box2.value\n val bool25 = allOf(Coll[Boolean](bool16, bool19, bool22, l23 < l24))\n val bool26 = l17 < l18\n val bool27 = l20 < l21\n val bool28 = allOf(Coll[Boolean](bool16, bool26, bool27, l23 > l24))\n val bool29 = l23 == l24\n val bool30 = allOf(Coll[Boolean](bool16, bool19, bool27, bool29))\n val bool31 = allOf(Coll[Boolean](bool16, bool26, bool22, bool29))\n val box32 = CONTEXT.dataInputs(placeholder[Int](7))\n val l33 = tuple12._1\n val coll34 = prop10.propBytes\n val coll35 = SELF.R7[Coll[Long]].get\n val coll36 = box2.R7[Coll[Long]].get\n val coll37 = SELF.R8[Coll[Long]].get\n val coll38 = box2.R8[Coll[Long]].get\n val l39 = SELF.R9[Long].get\n val l40 = box2.R9[Long].get\n if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n val bi41 = tuple8._1 - l17.toBigInt\n val bi42 = placeholder[BigInt](8)\n val bi43 = placeholder[BigInt](9)\n val bi44 = l23 - placeholder[Long](10).toBigInt\n val bi45 = tuple8._2 - l20.toBigInt\n val opt46 = getVar[SigmaProp](0.toByte)\n val bi47 = min(placeholder[BigInt](11) * bi42 / placeholder[BigInt](12), bi41 * box32.R4[Long].get.toBigInt / bi43 / bi44)\n val bi48 = bi42 - bi47\n val func49 = {(l49: Long) => l49.toBigInt * bi48 * bi44 / bi45 / bi42 }\n val func50 = {(l50: Long) => l50.toBigInt * bi47 * bi44 / bi41 / bi42 }\n val bi51 = if (bool25) { l24 - l23.toBigInt } else {\n if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func49(l21 - l20) } else { func50(l18 - l17) } }\n }\n val bi52 = placeholder[BigInt](13) * bi51 / bi43\n val bi53 = placeholder[BigInt](14)\n val tuple54 = (coll34, if (l33 < l13) { placeholder[BigInt](15) * bi51 / bi43 * l13 - l33.toBigInt / l13.toBigInt } else { bi53 })\n val tuple55 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi51 / bi43)\n val tuple56 = (Coll[Byte](placeholder[Byte](18)), bi53)\n val coll57 = if (bool31 || bool30) {\n if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, tuple55, (opt46.get.propBytes, bi52)) } else {\n Coll[(Coll[Byte], BigInt)](tuple54, tuple55, tuple56)\n }\n } else {\n if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, (opt46.get.propBytes, bi52), tuple56) } else {\n Coll[(Coll[Byte], BigInt)](tuple54, tuple56, tuple56)\n }\n }\n val tuple58 = coll57(placeholder[Int](19))\n val bi59 = tuple58._2\n val tuple60 = coll57(placeholder[Int](20))\n val bi61 = tuple60._2\n val box62 = OUTPUTS(placeholder[Int](21))\n val coll63 = tuple60._1\n val bool64 = bi61 > bi53\n val bool65 = allOf(Coll[Boolean]((if (bi59 > bi53) {(\n val box65 = if (bi61 <= bi53) { box62 } else { OUTPUTS(placeholder[Int](22)) }\n allOf(Coll[Boolean](box65.propositionBytes == tuple58._1, box65.value.toBigInt == bi59 + placeholder[BigInt](23)))\n )} else { placeholder[Boolean](24) } && if (opt46.isDefined) { if (bool64) {(\n val box65 = if (bi61 <= bi53) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n allOf(Coll[Boolean](box65.propositionBytes == coll63, box65.value.toBigInt == bi61 + placeholder[BigInt](27)))\n )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool64) {(\n val coll65 = box62.propositionBytes\n val box66 = INPUTS(INPUTS.size - placeholder[Int](30))\n allOf(Coll[Boolean](coll65 == coll63, coll65 == box66.propositionBytes, box62.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box62.value.toBigInt == box66.value.toBigInt + bi61 + placeholder[BigInt](33)))\n )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l33.toBigInt == bi59, l15 == l13))\n val bool66 = allOf(Coll[Boolean](coll35 == coll36, coll37 == coll38, l39 == l40))\n val func67 = {(coll67: Coll[Long]) => coll67.fold(placeholder[Long](36), {(tuple69: (Long, Long)) => tuple69._1 + tuple69._2 }).toBigInt }\n val i68 = HEIGHT - box32.creationInfo._1\n val bool69 = allOf(\n Coll[Boolean]((i68 < placeholder[Int](37)) && (i68 >= placeholder[Int](38)), box32.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n )\n if (bool25) {(\n val bi70 = l24 - l23.toBigInt\n val bi71 = bi42 - bi42 / bi43\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool16, l17 - l18.toBigInt == bi70 * bi41 * bi71 / bi44 / bi42, l20 - l21.toBigInt == bi70 * bi45 * bi71 / bi44 / bi42, placeholder[Boolean](\n 41\n ), bool65, bool66\n )\n )\n )\n )} else { if (bool28) {(\n val bi70 = l23 - l24.toBigInt\n val bi71 = bi44 * bi42 - bi42 / placeholder[BigInt](42)\n sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi70 * bi41 * bi42 / bi71, l21 - l20.toBigInt == bi70 * bi45 * bi42 / bi71, placeholder[Boolean](43), bool65, bool66)))\n )} else { if (bool30) {(\n val l70 = l21 - l20\n val bi71 = func67(coll38)\n val bi72 = func67(coll36)\n val i73 = HEIGHT.toLong - l39 / placeholder[Int](44).toLong.toInt\n val bool74 = i73 == placeholder[Int](45)\n val bool75 = i73 > placeholder[Int](46)\n val i76 = placeholder[Int](47) - i73\n sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](48) + bi42 / placeholder[BigInt](49) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi45 * bi48 * bi41 / bi42 / bi47, placeholder[Boolean](50), l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll38.size == placeholder[Int](51), if (bool74) { coll37(placeholder[Int](52)) } else { placeholder[Long](53) } == coll38(placeholder[Int](54)), if (bool75) { coll38.slice(i73, placeholder[Int](55)) == coll37.slice(placeholder[Int](56), i76) } else { coll38.slice(placeholder[Int](57), placeholder[Int](58)) == coll37.slice(placeholder[Int](59), placeholder[Int](60)) }, coll38.slice(placeholder[Int](61), i73).forall({(l77: Long) => l77 == placeholder[Long](62) }))), allOf(Coll[Boolean](coll36.size == placeholder[Int](63), coll36(placeholder[Int](64)).toBigInt == if (bool74) { coll35(placeholder[Int](65)) } else { placeholder[Long](66) }.toBigInt + func49(l70), if (bool75) { coll36.slice(i73, placeholder[Int](67)) == coll35.slice(placeholder[Int](68), i76) } else { coll36.slice(placeholder[Int](69), placeholder[Int](70)) == coll35.slice(placeholder[Int](71), placeholder[Int](72)) }, coll36.slice(placeholder[Int](73), i73).forall({(l77: Long) => l77 == placeholder[Long](74) }))), l40 == HEIGHT / placeholder[Int](75) * placeholder[Int](76).toLong, bool69)))\n )} else { if (bool31) {(\n val l70 = l18 - l17\n val bi71 = func67(coll36)\n val bi72 = func67(coll38)\n val i73 = HEIGHT.toLong - l39 / placeholder[Int](77).toLong.toInt\n val i74 = if (i73 >= placeholder[Int](78)) { placeholder[Int](79) } else { i73 }\n val bool75 = i74 == placeholder[Int](80)\n val bool76 = i74 > placeholder[Int](81)\n val i77 = placeholder[Int](82) - i74\n sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](83), l20 - l21.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](84) + bi42 / placeholder[BigInt](85) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi41 * bi47 * bi45 / bi42 / bi48, l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll36.size == placeholder[Int](86), if (bool75) { coll35(placeholder[Int](87)) } else { placeholder[Long](88) } == coll36(placeholder[Int](89)), if (bool76) { coll36.slice(i74, placeholder[Int](90)) == coll35.slice(placeholder[Int](91), i77) } else { coll36.slice(placeholder[Int](92), placeholder[Int](93)) == coll35.slice(placeholder[Int](94), placeholder[Int](95)) }, coll36.slice(placeholder[Int](96), i74).forall({(l78: Long) => l78 == placeholder[Long](97) }))), allOf(Coll[Boolean](coll38.size == placeholder[Int](98), coll38(placeholder[Int](99)).toBigInt == if (bool75) { coll37(placeholder[Int](100)) } else { placeholder[Long](101) }.toBigInt + func50(l70), if (bool76) { coll38.slice(i74, placeholder[Int](102)) == coll37.slice(placeholder[Int](103), i77) } else { coll38.slice(placeholder[Int](104), placeholder[Int](105)) == coll37.slice(placeholder[Int](106), placeholder[Int](107)) }, coll38.slice(placeholder[Int](108), i74).forall({(l78: Long) => l78 == placeholder[Long](109) }))), l40 == HEIGHT / placeholder[Int](110) * placeholder[Int](111).toLong, bool69)))\n )} else { sigmaProp(placeholder[Boolean](112)) } } } }\n )} else {\n if (INPUTS(placeholder[Int](113)).propositionBytes == coll34) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll35 == coll36, coll37 == coll38, l39 == l40)), prop11 != prop10\n )\n )\n ) && prop10\n } else { sigmaProp(placeholder[Boolean](114)) }\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "797e331df22c5cfd0aae654703ebc12dcbcba99b80d32e2b7e151eac2d27b6fa",
"index": 0,
"amount": 1,
"name": "GluonW NFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "886b7721bef42f60c6317d37d8752da8aca01898cae7dae61808c4a14225edc8",
"index": 1,
"amount": 99999939146317200,
"name": "GluonW GAU",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "9944ff273ff169f32b851b96bbecdbb67f223101c15ae143de82b3e7f75b19d2",
"index": 2,
"amount": 99999976586231380,
"name": "GluonW GAUC",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "08cd03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467",
"sigmaType": "SSigmaProp",
"renderedValue": "03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467"
},
"R6": {
"serializedValue": "599293b9fdfe0c808088fccdbcc323",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[223201404105,10000000000000000]"
},
"R8": {
"serializedValue": "110ecaf1dea1030000000000000000e4f8ad87d80100000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[438033509,0,0,0,0,0,0,0,0,28998745650,0,0,0,0]"
},
"R7": {
"serializedValue": "110e008ad89aa903000000000000000000000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,445863429,0,0,0,0,0,0,0,0,0,0,0,0]"
},
"R9": {
"serializedValue": "0580c3c401",
"sigmaType": "SLong",
"renderedValue": "1609920"
},
"R4": {
"serializedValue": "598080d0d88bdea2e3028080d0d88bdea2e302",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[100000000000000000,100000000000000000]"
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