Transaction
ID: 87f16c955c...d2f1
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
0
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 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:
0.001 ERG
Transaction Details
Confirmations: 485,091
Total coins transferred: 0.007 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000435 ERG
Raw Transaction Data
{
"id": "87f16c955cf15d894e6dedc13a4fcda39c78ed056ccf210b6b8f744a2d84d2f1",
"blockId": "9f91a6c5a85b79b9d4c314750cccd5935ae381b588283baf1c9700eb8192957f",
"inclusionHeight": 1274017,
"timestamp": 1716870259059,
"index": 43,
"globalIndex": 7263469,
"numConfirmations": 485091,
"inputs": [
{
"boxId": "86b44b6f9cc49b2584bdd7a7dedac752a9b5e623527116291fd7fbfb9051486e",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "056e40558ccbb7dabaeb2912c6ad68b8e8f0f8737cf52240518ff4a3272d2ac3",
"outputTransactionId": "4fc4ecf7fb2a4d5a1b15436ca3eb2ccdbbae4c78fb72c4e906beb90f9a028e80",
"outputIndex": 0,
"outputGlobalIndex": 40383830,
"outputCreatedAt": 1274002,
"outputSettledAt": 1274004,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: 1000000\n8: 3\n9: 3\n10: CBigInt(1000000)\n11: 650000\n12: CBigInt(2)\n13: CBigInt(6)\n14: 122\n15: CBigInt(1000000000000000)\n16: CBigInt(-100)\n17: CBigInt(100)\n18: CBigInt(-12)\n19: CBigInt(12)\n20: 0\n21: 0\n22: 0\n23: 0\n24: 1\n25: 0\n26: 1\n27: 1\n28: 2\n29: CBigInt(0)\n30: 0\n31: 0\n32: 1\n33: CBigInt(-1)\n34: CBigInt(35)\n35: CBigInt(10)\n36: 2\n37: 3\n38: CBigInt(3)\n39: CBigInt(4)\n40: CBigInt(5)\n41: 1\n42: CBigInt(8)\n43: 4\n44: CBigInt(24)\n45: 1\n46: 1\n47: 1\n48: 1\n49: 0\n50: Coll(65,-38,-124,-75,-120,-6,10,-53,6,-9,115,-60,42,-43,-34,-120,29,44,-6,22,-16,-124,-63,-125,92,-100,123,119,16,-24,-48,36)\n51: 9000000000000010\n52: 9000000000000010\n53: 0\n54: 0\n55: 262800\n56: 1\n57: 2\n58: 8\n59: 0\n60: 1\n61: 1\n62: 0\n63: 10000000\n64: 0\n65: 262800\n66: 1\n67: 1\n68: 1\n69: Coll(-58,33,-2,-111,102,75,84,50,-120,-37,-61,113,-43,68,113,-49,49,-112,68,-125,-51,62,-11,63,55,-96,-26,81,-113,39,-98,92)\n70: 1000000\n71: 10000000\n72: 0\n73: -1\n74: 8",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = OUTPUTS(placeholder[Int](0))\n val coll3 = box2.tokens\n val tuple4 = coll3(placeholder[Int](1))\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val l7 = box2.value\n val tuple8 = coll3(placeholder[Int](3))\n val tuple9 = coll5(placeholder[Int](4))\n val l10 = SELF.R4[Long].get\n val bool11 = (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (coll3(placeholder[Int](5)) == coll5(placeholder[Int](6)))) && (tuple4._1 == tuple6._1)) && (\n l7 >= placeholder[Int](7).toLong\n )\n ) && (tuple8._1 == tuple9._1)\n ) && (box2.R4[Long].get == l10)\n val l12 = SELF.value\n val l13 = tuple8._2\n val l14 = tuple9._2\n val tuple15 = coll5(placeholder[Int](8))\n val coll16 = tuple15._1\n val tuple17 = coll3(placeholder[Int](9))\n val bi18 = placeholder[BigInt](10)\n val l19 = placeholder[Long](11)\n val bi20 = placeholder[BigInt](12)\n val bi21 = bi20 * bi18\n val bi22 = placeholder[BigInt](13) * bi18 * bi18\n val bi23 = bi18 * bi18\n val l24 = placeholder[Long](14)\n val bi25 = placeholder[BigInt](15)\n val coll26 = SELF.R5[Coll[Long]].get\n val coll27 = box2.R5[Coll[Long]].get\n val func28 = {(tuple28: (BigInt, BigInt)) =>\n val bi30 = tuple28._2\n val bi31 = tuple28._1 - bi30 * bi30 / bi18\n (bi31 > placeholder[BigInt](16)) && (bi31 < placeholder[BigInt](17))\n }\n val func29 = {(tuple29: (BigInt, BigInt)) =>\n val bi31 = tuple29._1\n val bi32 = tuple29._2\n val bi33 = l24.toBigInt * bi18 / bi31 - bi32 * bi32 * bi32 * bi32 * bi32 * bi32 * bi32 * bi32 / bi23 * bi18 * bi18 * bi18 * bi18 * bi18\n val bi34 = l24.toBigInt / bi31\n (bi33 >= placeholder[BigInt](18) * bi34) && (bi33 <= placeholder[BigInt](19) * bi34)\n }\n sigmaProp(\n if (coll1.size == placeholder[Int](20)) {\n (\n (\n (((bool11 && (tuple4 == tuple6)) && (l7 - l12 > placeholder[Long](21))) && (l13 - l14 >= placeholder[Long](22))) && (\n INPUTS(placeholder[Int](23)).id == SELF.id\n )\n ) && (INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25))._1 == coll16)\n ) && (tuple17._2 == tuple15._2 + placeholder[Long](26))\n } else {(\n val bool30 = tuple17 == tuple15\n val coll31 = box2.R6[Coll[Long]].get\n val bi32 = coll31(placeholder[Int](27)).toBigInt\n val bi33 = coll31(placeholder[Int](28)).toBigInt\n val bi34 = l10.toBigInt\n val bi35 = placeholder[BigInt](29)\n val box36 = coll1(placeholder[Int](30))\n val coll37 = box36.R5[Coll[Long]].get\n val coll38 = box2.R7[Coll[Int]].get\n val i39 = coll38(placeholder[Int](31))\n val i40 = coll38(placeholder[Int](32))\n val bi41 = placeholder[BigInt](33)\n val bi42 = placeholder[BigInt](34) * bi18 / placeholder[BigInt](35)\n val coll43 = box36.R4[Coll[Long]].get\n val func44 = {(tuple44: (BigInt, BigInt)) =>\n val bi46 = tuple44._2\n val bi47 = tuple44._1\n val bi48 = {(coll48: Coll[BigInt]) =>\n val bi50 = coll48(placeholder[Int](36))\n val bi51 = l19.toBigInt * bi50\n val bi52 = coll48(placeholder[Int](37))\n bi23 * {(bi53: BigInt) =>\n val bi55 = bi53 * bi53\n val bi56 = bi55 * bi53\n val bi57 = bi56 * bi53\n val bi58 = bi57 * bi53\n bi53 - bi55 / bi21 + bi56 / placeholder[BigInt](38) * bi18 * bi18 - bi57 / placeholder[BigInt](39) * bi18 * bi18 * bi18 + bi58 / placeholder[\n BigInt\n ](40) * bi18 * bi18 * bi18 * bi18 - bi58 * bi53 / bi22 * bi18 * bi18 * bi18\n }(coll48(placeholder[Int](41)) - bi18) * placeholder[BigInt](42) / bi51 + bi18 * bi52 * coll48(\n placeholder[Int](43)\n ) / bi51 + l19.toBigInt * bi52 / bi20 * bi50\n }(Coll[BigInt](bi46, bi32, bi33, bi47, bi34))\n val bi49 = bi48 - l19.toBigInt * bi33 / bi18\n val bi50 = max(bi48, bi41 * bi48)\n val bi51 = max(bi49, bi41 * bi49)\n (\n if (bi48 >= bi35) { coll37(i39).toBigInt } else { bi18 - coll37(i39).toBigInt } * l24.toBigInt - if (bi49 >= bi35) { coll37(i40).toBigInt } else {\n bi18 - coll37(i40).toBigInt\n } * bi46 * {(bi52: BigInt) =>\n val bi54 = bi52 * bi52\n val bi55 = bi54 * bi52\n bi18 - bi52 + bi54 / bi21 - bi55 / bi22 + bi55 * bi52 / placeholder[BigInt](44) * bi18 * bi18 * bi18\n }(bi34 * bi47 / bi18) / bi18, (\n ((bi50 >= bi42) && (i39 == coll43.size - placeholder[Int](45))) || (\n (coll43(i39).toBigInt <= bi50) && (coll43(i39 + placeholder[Int](46)).toBigInt >= bi50)\n )\n ) && (\n ((bi51 >= bi42) && (i40 == coll43.size - placeholder[Int](47))) || (\n (coll43(i40).toBigInt <= bi51) && (coll43(i40 + placeholder[Int](48)).toBigInt >= bi51)\n )\n )\n )\n }\n val bool45 = box36.tokens(placeholder[Int](49))._1 == placeholder[Coll[Byte]](50)\n if (bool30) {(\n val bi46 = placeholder[Long](51) - tuple4._2.toBigInt\n val bi47 = placeholder[Long](52) - tuple6._2.toBigInt\n val l48 = coll31(placeholder[Int](53))\n val bi49 = coll26(placeholder[Int](54)).toBigInt - l48.toBigInt * bi18 / placeholder[Long](55).toBigInt\n val bi50 = coll26(placeholder[Int](56)).toBigInt\n val tuple51 = func44((bi49, bi50))\n val bi52 = tuple51._1 * coll26(placeholder[Int](57)).toBigInt\n (\n (\n (\n (\n (\n (\n ((bool11 && bool30) && (bi25 * l7.toBigInt / bi46 > bi25 * l12.toBigInt / bi47)) && (\n bi25 * l13.toBigInt - bi52 / bi46 > bi25 * l14.toBigInt - bi52 / bi47\n )\n ) && (coll27 == coll26)\n ) && tuple51._2\n ) && bool45\n ) && ((HEIGHT.toLong >= l48) && (l48 < HEIGHT + placeholder[Int](58).toLong))\n ) && func28((bi49, bi33))\n ) && func29((bi50, bi32))\n )} else {(\n val l46 = l13 - l14\n val bool47 = l46 < placeholder[Long](59)\n val box48 = if (bool47) { INPUTS(placeholder[Int](60)) } else { OUTPUTS(placeholder[Int](61)) }\n val tuple49 = box48.tokens(placeholder[Int](62))\n val l50 = if (bool47) { l7 - l12 } else { l12 - l7 }\n val l51 = l50 / placeholder[Long](63)\n val l52 = coll31(placeholder[Int](64))\n val bi53 = box48.R5[Long].get - l52.toBigInt * bi18 / placeholder[Long](65).toBigInt\n val bi54 = box48.R4[Long].get.toBigInt\n val tuple55 = func44((bi53, bi54))\n val bi56 = tuple55._1\n val i57 = box48.R7[Coll[Int]].get(placeholder[Int](66)) + placeholder[Int](67)\n val l58 = coll26(i57)\n val l59 = coll27(i57)\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (bool11 && ((tuple49._1 == coll16) && (tuple49._2 == placeholder[Long](68)))) && (\n blake2b256(box48.propositionBytes) == placeholder[Coll[Byte]](69)\n )\n ) && (box48.value >= l51 + placeholder[Long](70))\n ) && (l50 % placeholder[Long](71) == placeholder[Long](72))\n ) && bool45\n ) && if (bool47) { placeholder[Long](73) * l46.toBigInt <= bi56 * l51.toBigInt } else { l46.toBigInt >= bi56 * l51.toBigInt }\n ) && ((HEIGHT.toLong >= l52) && (l52 < HEIGHT + placeholder[Int](74).toLong))\n ) && tuple55._2\n ) && if (bool47) { l58 - l51 == l59 } else { l58 + l51 == l59 }\n ) && func28((bi53, bi33))\n ) && func29((bi54, bi32))\n )}\n )}\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "d5ab247e7871ad6f6377663243bb404bcadfb99134510b5653d3004de693c60d",
"index": 0,
"amount": 1,
"name": "Test 2",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "aac4169b183c91b291234aace912d976f9d1ec6718ae9f182e1cb193c1b19484",
"index": 1,
"amount": 9000000000000000,
"name": "fruit",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1368440201d3a950c9900bb9f4138223e5ee77f598f36a425ca665a886bb2c48",
"index": 2,
"amount": 10,
"name": "fQuacks",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "a2a2f91405b6c46a2b159f26133930ccb7ac29abd0f7589419fa5c1dc4376a45",
"index": 3,
"amount": 10000,
"name": "fCounter",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0580ade204",
"sigmaType": "SLong",
"renderedValue": "5000000"
},
"R5": {
"serializedValue": "1103fcc69b01c80100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1274302,100,0]"
}
}
},
{
"boxId": "6aad685258db10ee03ac522788db347eff3f2c6f6af34243c5f74082bd12280a",
"value": 5000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "829860fc23c333f3e57e02ea3d9b6a1bd1936d0cb47c72455a735981f20b8dad",
"outputTransactionId": "4e41ba2b43ee74145e345d2a70a9ac90b4e4b44b2cf9edab35205a0539cb78e5",
"outputIndex": 0,
"outputGlobalIndex": 40384056,
"outputCreatedAt": 1274011,
"outputSettledAt": 1274013,
"ergoTree": "1009040604000580897a010004020400040001000100d801d601e4c6a7040ed1958fb1a57300d802d602b2a5730100d603c67202040eededed93c2720272019099c1a7c17202730295e6720393e47203c5a77303927ea305e4c6a70605d803d602b2a5730400d603db63087202d604c67202070eeded93c2720272019591b172037305d801d605b27203730600ed938c720501e4c6a7070e928c720502e4c6a70505730795e6720493e47204c5a77308",
"ergoTreeConstants": "0: 3\n1: 0\n2: 1000000\n3: false\n4: 1\n5: 0\n6: 0\n7: false\n8: false",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n sigmaProp(if (OUTPUTS.size < placeholder[Int](0)) {(\n val box2 = OUTPUTS(placeholder[Int](1))\n val opt3 = box2.R4[Coll[Byte]]\n (((box2.propositionBytes == coll1) && (SELF.value - box2.value <= placeholder[Long](2))) && if (opt3.isDefined) { opt3.get == SELF.id } else { placeholder[Boolean](3) }) && (HEIGHT.toLong >= SELF.R6[Long].get)\n )} else {(\n val box2 = OUTPUTS(placeholder[Int](4))\n val coll3 = box2.tokens\n val opt4 = box2.R7[Coll[Byte]]\n ((box2.propositionBytes == coll1) && if (coll3.size > placeholder[Int](5)) {(\n val tuple5 = coll3(placeholder[Int](6))\n (tuple5._1 == SELF.R7[Coll[Byte]].get) && (tuple5._2 >= SELF.R5[Long].get)\n )} else { placeholder[Boolean](7) }) && if (opt4.isDefined) { opt4.get == SELF.id } else { placeholder[Boolean](8) }\n )})\n}",
"address": "2U18ukpP2cUUiBkN3pHJBfV28Hoj1MDQ6qRiT2g4m1FFWyvnnRs8WTqvGap2BnUyzhDrSkX4zvgctEMev7c8TsHeuVNTrcH1HoW78RjLWQe4fmtziB9wzCeypYARFVm4Hr2giE6SM6LRBNGsFNTmzCeH6wyCt9SBemsbaGh5K5ciupLxAFsndpmmEWM2m7MK9vtdCtBrtCV5h6hcJCX4Uhr1M1weJkVW62kTkWKn7QEebS67gX8nJ1n",
"assets": [
{
"tokenId": "1368440201d3a950c9900bb9f4138223e5ee77f598f36a425ca665a886bb2c48",
"index": 0,
"amount": 10,
"name": "fQuacks",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R5": {
"serializedValue": "0512",
"sigmaType": "SLong",
"renderedValue": "9"
},
"R6": {
"serializedValue": "05f2c29b01",
"sigmaType": "SLong",
"renderedValue": "1274041"
},
"R7": {
"serializedValue": "0e20aac4169b183c91b291234aace912d976f9d1ec6718ae9f182e1cb193c1b19484",
"sigmaType": "Coll[SByte]",
"renderedValue": "aac4169b183c91b291234aace912d976f9d1ec6718ae9f182e1cb193c1b19484"
}
}
}
],
"dataInputs": [
{
"boxId": "93047dde8a5d13006d8e34070a6c8191b96c0e26146b3b69ff2335794760cfdb",
"value": 1000000,
"index": 0,
"outputBlockId": "5c62f16eb7cb3d01d9329a3d20dae57e2667d06a012120001eeea91f1a34bd17",
"outputTransactionId": "9deacea4972217c13eaec207f0c18ac51c9c2b0ab8dea180ccc343643e076827",
"outputIndex": 0,
"ergoTree": "100201000100d1ededed850073007301",
"address": "BvWSwz4iWE6Mmrk9aK4sPuJzuT5a",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,20000,40000,60000,80000,100000,120000,140000,160000,180000,200000,220000,240000,260000,280000,300000,320000,340000,360000,380000,400000,420000,440000,460000,480000,500000,520000,540000,560000,580000,600000,620000,640000,660000,680000,700000,720000,740000,760000,780000,800000,820000,840000,860000,880000,900000,920000,940000,960000,980000,1000000,1020000,1040000,1060000,1080000,1100000,1120000,1140000,1160000,1180000,1200000,1220000,1240000,1260000,1280000,1300000,1320000,1340000,1360000,1380000,1400000,1420000,1440000,1460000,1480000,1500000,1520000,1540000,1560000,1580000,1600000,1620000,1640000,1660000,1680000,1700000,1720000,1740000,1760000,1780000,1800000,1820000,1840000,1860000,1880000,1900000,1920000,1940000,1960000,1980000,2000000,2020000,2040000,2060000,2080000,2100000,2120000,2140000,2160000,2180000,2200000,2220000,2240000,2260000,2280000,2300000,2320000,2340000,2360000,2380000,2400000,2420000,2440000,2460000,2480000,2500000,2520000,2540000,2560000,2580000,2600000,2620000,2640000,2660000,2680000,2700000,2720000,2740000,2760000,2780000,2800000,2820000,2840000,2860000,2880000,2900000,2920000,2940000,2960000,2980000,3000000,3020000,3040000,3060000,3080000,3100000]"
},
"R5": {
"serializedValue": "119c01c0843d94813ee2fd3ea4fa3fd2f640e6f241dcee42acea43cee544bee045f6da46f0d447a4ce4890c749aabf4aeeb64bd6ad4cdea34d80994eb68d4ffa8050caf3509ee551f2d552c4c5538cb454c8a155f28d5688f95684e357e4cb58a6b359c2995abafe5a86e25ba8c45c9aa55ddc845ee8e25ec0bf5fe09a60c6f460f2cc61e2a36294f96286cd63ba9f64aef064e0bf65d08d6680da66eea4679cee6786b668b0fc689ac169c6846ab0c66ade866bcec56b84836cfebe6cc0f96ccab26d9eea6dbea06eacd56eea886ffaba6fdceb6f969b70a8c97094f670dca17186cc7190f571809d72d6c37298e972c48d73e0b073eed273f2f373ec9374e2b274d4d074c6ed74bc8975b8a475bcbe75cad775e8ef75968776da9d76b2b376a6c876b6dc76e4ef76b48277a89477c2a57788b677f8c57798d577eae377eef177a8ff779c8c78ca9878b6a478e0af78ccba78fcc478f2ce78b0d878b6e1788aea78acf2789cfa78de8179f48879de8f79a09679ba9c79aca279fca779a8ad79b2b2799cb779e6bb7994c079a6c4799cc879f8cb79bccf79ead279fed57980d979eadb79c4de7988e179bce379e0e579f2e779f6e979eceb79d2ed79acef79faf079bcf279f4f379a0f579c2f679daf779e8f879f0f979",
"sigmaType": "Coll[SLong]",
"renderedValue": "[500000,507978,515953,523922,531881,539827,547758,555670,563559,571423,579259,587064,594834,602568,610261,617911,625515,633071,640576,648027,655421,662757,670031,677241,684386,691462,698468,705401,712260,719042,725746,732371,738913,745373,751747,758036,764237,770350,776372,782304,788144,793891,799545,805105,810570,815939,821213,826391,831472,836456,841344,846135,850830,855427,859928,864333,868643,872856,876975,880999,884930,888767,892512,896165,899727,903199,906582,909877,913085,916206,919243,922196,925066,927854,930563,933192,935744,938219,940620,942946,945200,947383,949497,951542,953521,955434,957283,959070,960796,962462,964069,965620,967115,968557,969945,971283,972571,973810,975002,976148,977249,978308,979324,980300,981237,982135,982996,983822,984613,985371,986096,986790,987454,988089,988696,989275,989829,990358,990862,991343,991802,992239,992656,993053,993430,993790,994132,994457,994766,995059,995338,995603,995854,996092,996318,996533,996735,996928,997109,997282,997444,997598,997744,997881,998011,998134,998249,998358,998461,998558,998650,998736,998817,998893,998964,999032]"
}
}
}
],
"outputs": [
{
"boxId": "3fd16f3f340d3269cd1916e75fea96747c9c2cd1fd2e4c0fd5994c85cac658be",
"transactionId": "87f16c955cf15d894e6dedc13a4fcda39c78ed056ccf210b6b8f744a2d84d2f1",
"blockId": "9f91a6c5a85b79b9d4c314750cccd5935ae381b588283baf1c9700eb8192957f",
"value": 5000000,
"index": 0,
"globalIndex": 40384198,
"creationHeight": 1274015,
"settlementHeight": 1274017,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: 1000000\n8: 3\n9: 3\n10: CBigInt(1000000)\n11: 650000\n12: CBigInt(2)\n13: CBigInt(6)\n14: 122\n15: CBigInt(1000000000000000)\n16: CBigInt(-100)\n17: CBigInt(100)\n18: CBigInt(-12)\n19: CBigInt(12)\n20: 0\n21: 0\n22: 0\n23: 0\n24: 1\n25: 0\n26: 1\n27: 1\n28: 2\n29: CBigInt(0)\n30: 0\n31: 0\n32: 1\n33: CBigInt(-1)\n34: CBigInt(35)\n35: CBigInt(10)\n36: 2\n37: 3\n38: CBigInt(3)\n39: CBigInt(4)\n40: CBigInt(5)\n41: 1\n42: CBigInt(8)\n43: 4\n44: CBigInt(24)\n45: 1\n46: 1\n47: 1\n48: 1\n49: 0\n50: Coll(65,-38,-124,-75,-120,-6,10,-53,6,-9,115,-60,42,-43,-34,-120,29,44,-6,22,-16,-124,-63,-125,92,-100,123,119,16,-24,-48,36)\n51: 9000000000000010\n52: 9000000000000010\n53: 0\n54: 0\n55: 262800\n56: 1\n57: 2\n58: 8\n59: 0\n60: 1\n61: 1\n62: 0\n63: 10000000\n64: 0\n65: 262800\n66: 1\n67: 1\n68: 1\n69: Coll(-58,33,-2,-111,102,75,84,50,-120,-37,-61,113,-43,68,113,-49,49,-112,68,-125,-51,62,-11,63,55,-96,-26,81,-113,39,-98,92)\n70: 1000000\n71: 10000000\n72: 0\n73: -1\n74: 8",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = OUTPUTS(placeholder[Int](0))\n val coll3 = box2.tokens\n val tuple4 = coll3(placeholder[Int](1))\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](2))\n val l7 = box2.value\n val tuple8 = coll3(placeholder[Int](3))\n val tuple9 = coll5(placeholder[Int](4))\n val l10 = SELF.R4[Long].get\n val bool11 = (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (coll3(placeholder[Int](5)) == coll5(placeholder[Int](6)))) && (tuple4._1 == tuple6._1)) && (\n l7 >= placeholder[Int](7).toLong\n )\n ) && (tuple8._1 == tuple9._1)\n ) && (box2.R4[Long].get == l10)\n val l12 = SELF.value\n val l13 = tuple8._2\n val l14 = tuple9._2\n val tuple15 = coll5(placeholder[Int](8))\n val coll16 = tuple15._1\n val tuple17 = coll3(placeholder[Int](9))\n val bi18 = placeholder[BigInt](10)\n val l19 = placeholder[Long](11)\n val bi20 = placeholder[BigInt](12)\n val bi21 = bi20 * bi18\n val bi22 = placeholder[BigInt](13) * bi18 * bi18\n val bi23 = bi18 * bi18\n val l24 = placeholder[Long](14)\n val bi25 = placeholder[BigInt](15)\n val coll26 = SELF.R5[Coll[Long]].get\n val coll27 = box2.R5[Coll[Long]].get\n val func28 = {(tuple28: (BigInt, BigInt)) =>\n val bi30 = tuple28._2\n val bi31 = tuple28._1 - bi30 * bi30 / bi18\n (bi31 > placeholder[BigInt](16)) && (bi31 < placeholder[BigInt](17))\n }\n val func29 = {(tuple29: (BigInt, BigInt)) =>\n val bi31 = tuple29._1\n val bi32 = tuple29._2\n val bi33 = l24.toBigInt * bi18 / bi31 - bi32 * bi32 * bi32 * bi32 * bi32 * bi32 * bi32 * bi32 / bi23 * bi18 * bi18 * bi18 * bi18 * bi18\n val bi34 = l24.toBigInt / bi31\n (bi33 >= placeholder[BigInt](18) * bi34) && (bi33 <= placeholder[BigInt](19) * bi34)\n }\n sigmaProp(\n if (coll1.size == placeholder[Int](20)) {\n (\n (\n (((bool11 && (tuple4 == tuple6)) && (l7 - l12 > placeholder[Long](21))) && (l13 - l14 >= placeholder[Long](22))) && (\n INPUTS(placeholder[Int](23)).id == SELF.id\n )\n ) && (INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25))._1 == coll16)\n ) && (tuple17._2 == tuple15._2 + placeholder[Long](26))\n } else {(\n val bool30 = tuple17 == tuple15\n val coll31 = box2.R6[Coll[Long]].get\n val bi32 = coll31(placeholder[Int](27)).toBigInt\n val bi33 = coll31(placeholder[Int](28)).toBigInt\n val bi34 = l10.toBigInt\n val bi35 = placeholder[BigInt](29)\n val box36 = coll1(placeholder[Int](30))\n val coll37 = box36.R5[Coll[Long]].get\n val coll38 = box2.R7[Coll[Int]].get\n val i39 = coll38(placeholder[Int](31))\n val i40 = coll38(placeholder[Int](32))\n val bi41 = placeholder[BigInt](33)\n val bi42 = placeholder[BigInt](34) * bi18 / placeholder[BigInt](35)\n val coll43 = box36.R4[Coll[Long]].get\n val func44 = {(tuple44: (BigInt, BigInt)) =>\n val bi46 = tuple44._2\n val bi47 = tuple44._1\n val bi48 = {(coll48: Coll[BigInt]) =>\n val bi50 = coll48(placeholder[Int](36))\n val bi51 = l19.toBigInt * bi50\n val bi52 = coll48(placeholder[Int](37))\n bi23 * {(bi53: BigInt) =>\n val bi55 = bi53 * bi53\n val bi56 = bi55 * bi53\n val bi57 = bi56 * bi53\n val bi58 = bi57 * bi53\n bi53 - bi55 / bi21 + bi56 / placeholder[BigInt](38) * bi18 * bi18 - bi57 / placeholder[BigInt](39) * bi18 * bi18 * bi18 + bi58 / placeholder[\n BigInt\n ](40) * bi18 * bi18 * bi18 * bi18 - bi58 * bi53 / bi22 * bi18 * bi18 * bi18\n }(coll48(placeholder[Int](41)) - bi18) * placeholder[BigInt](42) / bi51 + bi18 * bi52 * coll48(\n placeholder[Int](43)\n ) / bi51 + l19.toBigInt * bi52 / bi20 * bi50\n }(Coll[BigInt](bi46, bi32, bi33, bi47, bi34))\n val bi49 = bi48 - l19.toBigInt * bi33 / bi18\n val bi50 = max(bi48, bi41 * bi48)\n val bi51 = max(bi49, bi41 * bi49)\n (\n if (bi48 >= bi35) { coll37(i39).toBigInt } else { bi18 - coll37(i39).toBigInt } * l24.toBigInt - if (bi49 >= bi35) { coll37(i40).toBigInt } else {\n bi18 - coll37(i40).toBigInt\n } * bi46 * {(bi52: BigInt) =>\n val bi54 = bi52 * bi52\n val bi55 = bi54 * bi52\n bi18 - bi52 + bi54 / bi21 - bi55 / bi22 + bi55 * bi52 / placeholder[BigInt](44) * bi18 * bi18 * bi18\n }(bi34 * bi47 / bi18) / bi18, (\n ((bi50 >= bi42) && (i39 == coll43.size - placeholder[Int](45))) || (\n (coll43(i39).toBigInt <= bi50) && (coll43(i39 + placeholder[Int](46)).toBigInt >= bi50)\n )\n ) && (\n ((bi51 >= bi42) && (i40 == coll43.size - placeholder[Int](47))) || (\n (coll43(i40).toBigInt <= bi51) && (coll43(i40 + placeholder[Int](48)).toBigInt >= bi51)\n )\n )\n )\n }\n val bool45 = box36.tokens(placeholder[Int](49))._1 == placeholder[Coll[Byte]](50)\n if (bool30) {(\n val bi46 = placeholder[Long](51) - tuple4._2.toBigInt\n val bi47 = placeholder[Long](52) - tuple6._2.toBigInt\n val l48 = coll31(placeholder[Int](53))\n val bi49 = coll26(placeholder[Int](54)).toBigInt - l48.toBigInt * bi18 / placeholder[Long](55).toBigInt\n val bi50 = coll26(placeholder[Int](56)).toBigInt\n val tuple51 = func44((bi49, bi50))\n val bi52 = tuple51._1 * coll26(placeholder[Int](57)).toBigInt\n (\n (\n (\n (\n (\n (\n ((bool11 && bool30) && (bi25 * l7.toBigInt / bi46 > bi25 * l12.toBigInt / bi47)) && (\n bi25 * l13.toBigInt - bi52 / bi46 > bi25 * l14.toBigInt - bi52 / bi47\n )\n ) && (coll27 == coll26)\n ) && tuple51._2\n ) && bool45\n ) && ((HEIGHT.toLong >= l48) && (l48 < HEIGHT + placeholder[Int](58).toLong))\n ) && func28((bi49, bi33))\n ) && func29((bi50, bi32))\n )} else {(\n val l46 = l13 - l14\n val bool47 = l46 < placeholder[Long](59)\n val box48 = if (bool47) { INPUTS(placeholder[Int](60)) } else { OUTPUTS(placeholder[Int](61)) }\n val tuple49 = box48.tokens(placeholder[Int](62))\n val l50 = if (bool47) { l7 - l12 } else { l12 - l7 }\n val l51 = l50 / placeholder[Long](63)\n val l52 = coll31(placeholder[Int](64))\n val bi53 = box48.R5[Long].get - l52.toBigInt * bi18 / placeholder[Long](65).toBigInt\n val bi54 = box48.R4[Long].get.toBigInt\n val tuple55 = func44((bi53, bi54))\n val bi56 = tuple55._1\n val i57 = box48.R7[Coll[Int]].get(placeholder[Int](66)) + placeholder[Int](67)\n val l58 = coll26(i57)\n val l59 = coll27(i57)\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (bool11 && ((tuple49._1 == coll16) && (tuple49._2 == placeholder[Long](68)))) && (\n blake2b256(box48.propositionBytes) == placeholder[Coll[Byte]](69)\n )\n ) && (box48.value >= l51 + placeholder[Long](70))\n ) && (l50 % placeholder[Long](71) == placeholder[Long](72))\n ) && bool45\n ) && if (bool47) { placeholder[Long](73) * l46.toBigInt <= bi56 * l51.toBigInt } else { l46.toBigInt >= bi56 * l51.toBigInt }\n ) && ((HEIGHT.toLong >= l52) && (l52 < HEIGHT + placeholder[Int](74).toLong))\n ) && tuple55._2\n ) && if (bool47) { l58 - l51 == l59 } else { l58 + l51 == l59 }\n ) && func28((bi53, bi33))\n ) && func29((bi54, bi32))\n )}\n )}\n )\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Test 2",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 8999999999999991,
"name": "fruit",
"decimals": 0,
"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0580ade204",
"sigmaType": "SLong",
"renderedValue": "5000000"
},
"R5": {
"serializedValue": "1103fcc69b01c80100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1274302,100,0]"
},
"R6": {
"serializedValue": "1103bec29b019e927daa8404",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1274015,1025167,33045]"
},
"R7": {
"serializedValue": "1002b602b602",
"sigmaType": "Coll[SInt]",
"renderedValue": "[155,155]"
}
},
"spentTransactionId": "235b86d8e2b91dd10d7e907c23e63305c99bbb779bb5ab4fd6f3db3175405772",
"mainChain": true
},
{
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"transactionId": "87f16c955cf15d894e6dedc13a4fcda39c78ed056ccf210b6b8f744a2d84d2f1",
"blockId": "9f91a6c5a85b79b9d4c314750cccd5935ae381b588283baf1c9700eb8192957f",
"value": 1000000,
"index": 1,
"globalIndex": 40384199,
"creationHeight": 1274015,
"settlementHeight": 1274017,
"ergoTree": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b1001,e0825c,...)))}",
"address": "9hGxTdZKhZ12eZNzg7mCGRpuHTvxayNm7gxPz6rmbMtVpjdjYQh",
"assets": [
{
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"index": 0,
"amount": 9,
"name": "fruit",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R5": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R6": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "6aad685258db10ee03ac522788db347eff3f2c6f6af34243c5f74082bd12280a"
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},
"spentTransactionId": "cfbf95f711e125e59a09205e5ca6907bf894280128fe6b4cf9b9d06b7feeb2a5",
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},
{
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"value": 1000000,
"index": 2,
"globalIndex": 40384200,
"creationHeight": 1274015,
"settlementHeight": 1274017,
"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)}",
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"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a30ac7e5036e0c9c65ca2bafda70b22e8af17d5e138ecca69d4565db9010b5bb",
"mainChain": true
}
],
"size": 2300,
"isUnconfirmed": false
}