Transaction
ID: 6c9ca9975f...b4da
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
18,110.54 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.80536965 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
18,110.55 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.793319652 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 124,909
Total coins transferred: 18,111.34 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000189 ERG
Raw Transaction Data
{
"id": "6c9ca9975fa08b57b0148d400484663e9eeefa43569eaf6c67ea1702ed19b4da",
"blockId": "7dc3b33b846ec2be53e8e9bf7719d040158a74a01ceb464e30cf73b988964844",
"inclusionHeight": 1633810,
"timestamp": 1760435530986,
"index": 14,
"globalIndex": 9623229,
"numConfirmations": 124909,
"inputs": [
{
"boxId": "a35395d65c86367969fc937e06fe929189a660add67658bf10c405e9a9be347f",
"value": 18110537327247,
"index": 0,
"spendingProof": null,
"outputBlockId": "a2cedd2cfa44702ce92937fd8bb589535e1f8cdea4d698af7b8d779f4f634949",
"outputTransactionId": "dad3cbcdb1ffd5d0724898cc3e3be398c6fef6723ea563c3ff8e38dc613396ff",
"outputIndex": 0,
"outputGlobalIndex": 50834823,
"outputCreatedAt": 1629671,
"outputSettledAt": 1633231,
"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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{
"tokenId": "a35824255b3b30a0e637ae5bd37351728e8bc4f62174dd5a0b1359969d876a71",
"index": 27,
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"name": "Midnight Menagerie",
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},
{
"tokenId": "01dce8a5632d19799950ff90bca3b5d0ca3ebfa8aaafd06f0cc6dd1e97150e7f",
"index": 28,
"amount": 2489131,
"name": "CYPX",
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"type": "EIP-004"
},
{
"tokenId": "b2be14c77833fbba22eab0d5e303e2e7e80c11bda17b87eff3de548b485110f4",
"index": 29,
"amount": 1,
"name": "SB ELLISON RARE",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "af1a2e8005f6ffc9e291e121d1fb08795c5a079409b8ca56e20eb2f4f6f8553b",
"index": 30,
"amount": 3685830801,
"name": "🐶",
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"type": "EIP-004"
},
{
"tokenId": "2486c279e097c3aeb8116239fca671b9000efa12d8f20c92ca5b7795a359e041",
"index": 31,
"amount": 207900000,
"name": "Fucks",
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},
{
"tokenId": "69a1c6f11d2fd52e8914e17608a5e4b4e94842bfb670ab4aaaa9502e9a96befc",
"index": 32,
"amount": 2,
"name": "CyberVerse Skin - Sailor of SkyHarbor",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d1d2ae2ac0456aa43550dd4fda45e4f866d523be9170d3a3e4cab43a83926334",
"index": 33,
"amount": 1,
"name": "GreasyCex",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "02f31739e2e4937bb9afb552943753d1e3e9cdd1a5e5661949cb0cef93f907ea",
"index": 34,
"amount": 15955339,
"name": "Terahertz",
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"type": "EIP-004"
},
{
"tokenId": "6ad70cdbf928a2bdd397041a36a5c2490a35beb4d20eabb5666f004b103c7189",
"index": 35,
"amount": 247876,
"name": "rsHOSKY",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1465c9b9de602bd75f8f38df83118e2c8b1d5b2f5518514dd1438149053652a8",
"index": 36,
"amount": 16843130,
"name": "Dark Erdoge",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "622c94a7eb9b9a9796646bfa32912fe30db01a3c9be1bb83f69410e1f1b757c5",
"index": 37,
"amount": 1,
"name": "Prometheus",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "988266aed4a3d2fd09a7ab277a6e15e789fc5cf5d3733aab774fe9b5e37ce727",
"index": 38,
"amount": 1,
"name": "Phantom Guardian",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "872e89550660aad511890b06bce75f8d0d964a0d65ce9c9d7e936c30833d5800",
"index": 39,
"amount": 1,
"name": "Grimm",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6961310f1aec4fec9047cfdd7cf737d4d08e4327b469ff25bf1c4109af024c8c",
"index": 40,
"amount": 1,
"name": "Ergnome #1145 \"Ergopadguin the Atomic Spacebomb\"",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "012c74dcd0920ce0c3f9f3945d509ea07b33872f3f144b816bcd7b664b22d5b3",
"index": 41,
"amount": 1296423,
"name": "Troll",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 42,
"amount": 6105,
"name": "ClaimRSN.tech",
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"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 43,
"amount": 47085,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8b6cd9ed2665017bafb3d59ea6883294386a1fac5294a75ce3f273fea18029a4",
"index": 44,
"amount": 1,
"name": "Nami the Oracle",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0f709a2f38ec1b2c5c94a6efd43824b82ce2900d083dd34948c6ce75fd11d5ea",
"index": 45,
"amount": 13514,
"name": "SIGMANAUTSMININGPOOL",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "793ff9134218e16f0728d58a7eca30cb00c148aba54d5c183ca8916478324d25",
"index": 46,
"amount": 1,
"name": "Apep's Tamer",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "39df9f9a2d440813d3f136760d562e9c10f1215c6584e4c74f83bcc8d691ae24",
"index": 47,
"amount": 1,
"name": "Red Queen",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "bd0c25c373ad606d78412ae1198133f4573b4e4c2d4ed3fc4c2a4547c6c6e12e",
"index": 48,
"amount": 48250837,
"name": "🤡",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "fb52a506e247ca677ee6c714d26edf8f6d7d71a6e4a3d23d3326574f8769ecaa",
"index": 49,
"amount": 1,
"name": "Death Mark",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "35486ee55d585f8825ea07a43debb5850daaab4d281f3187831967fa7f951d53",
"index": 50,
"amount": 1,
"name": "Sigmanaut's Space Stars #458",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "886b7721bef42f60c6317d37d8752da8aca01898cae7dae61808c4a14225edc8",
"index": 51,
"amount": 1676980,
"name": "GluonW GAU",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "9944ff273ff169f32b851b96bbecdbb67f223101c15ae143de82b3e7f75b19d2",
"index": 52,
"amount": 692855,
"name": "GluonW GAUC",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "3f9b53d8018daa6c940dbcf49d7113f43c8349675c05d3a406089ccbdb03c90e",
"value": 10000000,
"index": 0,
"outputBlockId": "23a7417bfabb0053507edd616ae5ad98432fe2d6952d2f1c3d7ee590c2eb6047",
"outputTransactionId": "a582e2eb8bd1c29816d54553b8f59bda548d5e8c47bb6c19ef774e49ebec1236",
"outputIndex": 0,
"ergoTree": "1004040204000e2097ad159235d25d05d7efc5863b5d360f89d7d668409502058be3e7aac177b9cb0e20a40bedb08a32c0258405f950af5a133c397630f89f7d31fb00b3ab9811d29e6ad801d6018cb2db6308b2a473000073010001d1ec93720173029372017303",
"address": "PViBL5acX6PqzhnRzKkXN48Rr2SNWspChGAVUHFtGjhNK7dzGm3VeJdkgvzySx5uSWsyekihaxdVpuvhz4MqNZjU8FkwYZUzUC8AL3pFNifisCSrLywNWehhxGz8EJpyuCdtofhUFVw6qNEsvCP2",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0582a2e68dc0ee58",
"sigmaType": "SLong",
"renderedValue": "195412436502657"
},
"R5": {
"serializedValue": "04f88b02",
"sigmaType": "SInt",
"renderedValue": "17148"
}
}
}
],
"outputs": [
{
"boxId": "f798b9f9df8f4c234b1185080e0a08c7035beeab971333261ea42f1085a50e36",
"transactionId": "6c9ca9975fa08b57b0148d400484663e9eeefa43569eaf6c67ea1702ed19b4da",
"blockId": "7dc3b33b846ec2be53e8e9bf7719d040158a74a01ceb464e30cf73b988964844",
"value": 18110547327247,
"index": 0,
"globalIndex": 50853869,
"creationHeight": 1629671,
"settlementHeight": 1633810,
"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": 99999939198166880,
"name": "GluonW GAU",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "9944ff273ff169f32b851b96bbecdbb67f223101c15ae143de82b3e7f75b19d2",
"index": 2,
"amount": 99999974878152130,
"name": "GluonW GAUC",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "08cd03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467",
"sigmaType": "SSigmaProp",
"renderedValue": "03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467"
},
"R6": {
"serializedValue": "59dccbec8da00d808088fccdbcc323",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[227647787758,10000000000000000]"
},
"R8": {
"serializedValue": "110ed89deab30100000000b6a8daf8790088e2b1cfb70a009ab41500000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[188565356,0,0,0,0,16366914075,0,179263912068,0,175373,0,0,0,0]"
},
"R7": {
"serializedValue": "110e00000000000000000000ccde2e000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0,0,0,0,0,0,0,0,382886,0,0,0]"
},
"R9": {
"serializedValue": "0580abc701",
"sigmaType": "SLong",
"renderedValue": "1632960"
},
"R4": {
"serializedValue": "598080d0d88bdea2e3028080d0d88bdea2e302",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[100000000000000000,100000000000000000]"
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