Transaction
ID: 8a07c6c831...4c5b
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
0
Outputs (3)
Unspent
Address:
Settlement height:
Value:
0.004 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: 495,107
Total coins transferred: 0.006 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000325 ERG
Raw Transaction Data
{
"id": "8a07c6c831b5ff131dcda7bafaa8d6257bbba5ca4cf3ccbbf6a9705df65f4c5b",
"blockId": "12ed56642e40ad473bdff7d61e0d6970a35dea39fc3c4a107e8a795a99220495",
"inclusionHeight": 1275590,
"timestamp": 1717062652824,
"index": 5,
"globalIndex": 7274860,
"numConfirmations": 495107,
"inputs": [
{
"boxId": "46c470ec0d54d7753833f965d6c3517f9f361aa45330e7afea17c75fddb012d2",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d2b93824fcc6ceb5c5e5d62616c646287a4b887f820c3eddb991174ca9f9ef81",
"outputTransactionId": "3ada56850f0b338be320cf61113315eab0bb85f2748ae54ea2747438f61353ae",
"outputIndex": 0,
"outputGlobalIndex": 40439861,
"outputCreatedAt": 1275581,
"outputSettledAt": 1275583,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 3\n6: 3\n7: 0\n8: 0\n9: 1000000\n10: 4\n11: CBigInt(1000000)\n12: 650000\n13: CBigInt(2)\n14: CBigInt(6)\n15: 2\n16: 3\n17: CBigInt(3)\n18: CBigInt(4)\n19: CBigInt(5)\n20: 1\n21: CBigInt(8)\n22: 4\n23: 122\n24: CBigInt(24)\n25: CBigInt(1000000000000000)\n26: CBigInt(-100)\n27: CBigInt(100)\n28: CBigInt(-12)\n29: CBigInt(12)\n30: 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)\n31: 0\n32: 0\n33: 0\n34: 0\n35: 1\n36: 0\n37: 1\n38: 4\n39: 1\n40: 3\n41: CBigInt(0)\n42: 0\n43: 0\n44: 1\n45: CBigInt(-1)\n46: CBigInt(35)\n47: CBigInt(10)\n48: 1\n49: 1\n50: 1\n51: 1\n52: 0\n53: 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)\n54: 3\n55: 2\n56: 0\n57: 0\n58: 262800\n59: 3\n60: 4\n61: 9000000000001000\n62: 9000000000001000\n63: 1\n64: 2\n65: 8\n66: 2\n67: 0\n68: 1\n69: 1\n70: 0\n71: 10000000\n72: 0\n73: 262800\n74: 1\n75: 1\n76: 1\n77: 1000000\n78: 10000000\n79: 0\n80: -1\n81: 8\n82: 0\n83: 1\n84: 1\n85: 0\n86: 1\n87: 0\n88: 262800\n89: 1\n90: 1\n91: 1\n92: 1\n93: 1\n94: 1\n95: 1\n96: 2000000\n97: -1\n98: 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 coll10 = tuple9._1\n val l11 = SELF.R4[Long].get\n val tuple12 = coll3(placeholder[Int](5))\n val tuple13 = coll5(placeholder[Int](6))\n val coll14 = tuple13._1\n val bool15 = (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (coll3(placeholder[Int](7)) == coll5(placeholder[Int](8)))) && (tuple4._1 == tuple6._1)) && (\n l7 >= placeholder[Int](9).toLong\n )\n ) && (tuple8._1 == coll10)\n ) && (box2.R4[Long].get == l11)\n ) && (tuple12._1 == coll14)\n val l16 = SELF.value\n val l17 = tuple8._2\n val l18 = tuple9._2\n val tuple19 = coll5(placeholder[Int](10))\n val bi20 = placeholder[BigInt](11)\n val l21 = placeholder[Long](12)\n val bi22 = placeholder[BigInt](13)\n val bi23 = bi22 * bi20\n val bi24 = placeholder[BigInt](14) * bi20 * bi20\n val bi25 = bi20 * bi20\n val func26 = {(coll26: Coll[BigInt]) =>\n val bi28 = coll26(placeholder[Int](15))\n val bi29 = l21.toBigInt * bi28\n val bi30 = coll26(placeholder[Int](16))\n bi25 * {(bi31: BigInt) =>\n val bi33 = bi31 * bi31\n val bi34 = bi33 * bi31\n val bi35 = bi34 * bi31\n val bi36 = bi35 * bi31\n bi31 - bi33 / bi23 + bi34 / placeholder[BigInt](17) * bi20 * bi20 - bi35 / placeholder[BigInt](18) * bi20 * bi20 * bi20 + bi36 / placeholder[BigInt](\n 19\n ) * bi20 * bi20 * bi20 * bi20 - bi36 * bi31 / bi24 * bi20 * bi20 * bi20\n }(coll26(placeholder[Int](20)) - bi20) * placeholder[BigInt](21) / bi29 + bi20 * bi30 * coll26(\n placeholder[Int](22)\n ) / bi29 + l21.toBigInt * bi30 / bi22 * bi28\n }\n val l27 = placeholder[Long](23)\n val func28 = {(bi28: BigInt) =>\n val bi30 = bi28 * bi28\n val bi31 = bi30 * bi28\n bi20 - bi28 + bi30 / bi23 - bi31 / bi24 + bi31 * bi28 / placeholder[BigInt](24) * bi20 * bi20 * bi20\n }\n val coll29 = SELF.R5[Coll[Long]].get\n val bi30 = placeholder[BigInt](25)\n val coll31 = box2.R5[Coll[Long]].get\n val func32 = {(tuple32: (BigInt, BigInt)) =>\n val bi34 = tuple32._2\n val bi35 = tuple32._1 - bi34 * bi34 / bi20\n (bi35 > placeholder[BigInt](26)) && (bi35 < placeholder[BigInt](27))\n }\n val func33 = {(tuple33: (BigInt, BigInt)) =>\n val bi35 = tuple33._1\n val bi36 = tuple33._2\n val bi37 = l27.toBigInt * bi20 / bi35 - bi36 * bi36 * bi36 * bi36 * bi36 * bi36 * bi36 * bi36 / bi25 * bi20 * bi20 * bi20 * bi20 * bi20\n val bi38 = if (l27.toBigInt > bi35) { l27.toBigInt / bi35 } else { bi35 / l27.toBigInt }\n (bi37 >= placeholder[BigInt](28) * bi38) && (bi37 <= placeholder[BigInt](29) * bi38)\n }\n val coll34 = placeholder[Coll[Byte]](30)\n sigmaProp(\n if (coll1.size == placeholder[Int](31)) {\n (\n (\n (((bool15 && (tuple4 == tuple6)) && (l7 - l16 > placeholder[Long](32))) && (l17 - l18 >= placeholder[Long](33))) && (\n INPUTS(placeholder[Int](34)).id == SELF.id\n )\n ) && (INPUTS(placeholder[Int](35)).tokens(placeholder[Int](36))._1 == coll14)\n ) && (tuple12._2 == tuple13._2 + placeholder[Long](37))\n } else {(\n val bool35 = tuple12 == tuple13\n val bool36 = coll3(placeholder[Int](38)) == tuple19\n val coll37 = box2.R6[Coll[Long]].get\n val bi38 = coll37(placeholder[Int](39)).toBigInt\n val bi39 = coll37(placeholder[Int](40)).toBigInt\n val bi40 = l11.toBigInt\n val bi41 = placeholder[BigInt](41)\n val box42 = coll1(placeholder[Int](42))\n val coll43 = box42.R5[Coll[Long]].get\n val coll44 = box2.R7[Coll[Int]].get\n val i45 = coll44(placeholder[Int](43))\n val bi46 = l21.toBigInt * bi39 / bi20\n val i47 = coll44(placeholder[Int](44))\n val bi48 = placeholder[BigInt](45)\n val bi49 = placeholder[BigInt](46) * bi20 / placeholder[BigInt](47)\n val coll50 = box42.R4[Coll[Long]].get\n val func51 = {(tuple51: (BigInt, BigInt)) =>\n val bi53 = tuple51._2\n val bi54 = tuple51._1\n val bi55 = func26(Coll[BigInt](bi53, bi38, bi39, bi54, bi40))\n val bi56 = bi55 - bi46\n val bi57 = max(bi55, bi48 * bi55)\n val bi58 = max(bi56, bi48 * bi56)\n (\n if (bi55 >= bi41) { coll43(i45).toBigInt } else { bi20 - coll43(i45).toBigInt } * l27.toBigInt - if (bi56 >= bi41) { coll43(i47).toBigInt } else {\n bi20 - coll43(i47).toBigInt\n } * bi53 * func28(bi40 * bi54 / bi20) / bi20, (\n ((bi57 >= bi49) && (i45 == coll50.size - placeholder[Int](48))) || (\n (coll50(i45).toBigInt <= bi57) && (coll50(i45 + placeholder[Int](49)).toBigInt >= bi57)\n )\n ) && (\n ((bi58 >= bi49) && (i47 == coll50.size - placeholder[Int](50))) || (\n (coll50(i47).toBigInt <= bi58) && (coll50(i47 + placeholder[Int](51)).toBigInt >= bi58)\n )\n )\n )\n }\n val bool52 = box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53)\n val i53 = coll44(placeholder[Int](54))\n val i54 = coll44(placeholder[Int](55))\n if (bool35 && bool36) {(\n val l55 = coll37(placeholder[Int](56))\n val bi56 = coll29(placeholder[Int](57)).toBigInt - l55.toBigInt * bi20 / placeholder[Long](58).toBigInt\n val bi57 = coll29(placeholder[Int](59)).toBigInt\n val tuple58 = func51((bi56, bi57))\n val bi59 = tuple58._1 * coll29(placeholder[Int](60)).toBigInt\n val bi60 = placeholder[Long](61) - tuple4._2.toBigInt\n val bi61 = placeholder[Long](62) - tuple6._2.toBigInt\n val bi62 = coll29(placeholder[Int](63)).toBigInt\n val tuple63 = func51((bi56, bi62))\n val bi64 = tuple63._1 * coll29(placeholder[Int](64)).toBigInt\n (\n (\n (\n (\n (\n (\n (\n ((bool15 && bool35) && (bi30 * l7.toBigInt - bi59 / bi60 > bi30 * l16.toBigInt - bi59 / bi61)) && (\n bi30 * l17.toBigInt - bi64 / bi60 > bi30 * l18.toBigInt - bi64 / bi61\n )\n ) && (coll31 == coll29)\n ) && (tuple63._2 && tuple58._2)\n ) && bool52\n ) && ((HEIGHT.toLong >= l55) && (l55 < HEIGHT + placeholder[Int](65).toLong))\n ) && func32((bi56, bi39))\n ) && func33((bi62, bi38))\n ) && func33((bi57, coll37(placeholder[Int](66)).toBigInt))\n )} else { if (bool36) {(\n val l55 = l17 - l18\n val bool56 = l55 < placeholder[Long](67)\n val box57 = if (bool56) { INPUTS(placeholder[Int](68)) } else { OUTPUTS(placeholder[Int](69)) }\n val tuple58 = box57.tokens(placeholder[Int](70))\n val l59 = if (bool56) { l7 - l16 } else { l16 - l7 }\n val l60 = l59 / placeholder[Long](71)\n val l61 = coll37(placeholder[Int](72))\n val bi62 = box57.R5[Long].get - l61.toBigInt * bi20 / placeholder[Long](73).toBigInt\n val bi63 = box57.R4[Long].get.toBigInt\n val tuple64 = func51((bi62, bi63))\n val bi65 = tuple64._1\n val i66 = box57.R7[Coll[Int]].get(placeholder[Int](74)) + placeholder[Int](75)\n val l67 = coll29(i66)\n val l68 = coll31(i66)\n ((((((((((bool15 && ((tuple58._1 == coll14) && (tuple58._2 == placeholder[Long](76)))) && (blake2b256(box57.propositionBytes) == coll34)) && (box57.value >= l60 + placeholder[Long](77))) && (l59 % placeholder[Long](78) == placeholder[Long](79))) && bool52) && if (bool56) { placeholder[Long](80) * l55.toBigInt <= bi65 * l60.toBigInt } else { l55.toBigInt >= bi65 * l60.toBigInt }) && ((HEIGHT.toLong >= l61) && (l61 < HEIGHT + placeholder[Int](81).toLong))) && tuple64._2) && if (bool56) { l67 - l60 == l68 } else { l67 + l60 == l68 }) && func32((bi62, bi39))) && func33((bi63, bi38))\n )} else {(\n val l55 = l7 - l16\n val bool56 = l55 < placeholder[Long](82)\n val box57 = if (bool56) { INPUTS(placeholder[Int](83)) } else { OUTPUTS(placeholder[Int](84)) }\n val coll58 = box57.tokens\n val tuple59 = coll58(placeholder[Int](85))\n val tuple60 = coll58(placeholder[Int](86))\n val l61 = if (bool56) { l17 - l18 } else { l18 - l17 }\n val l62 = coll37(placeholder[Int](87))\n val bi63 = box57.R5[Long].get - l62.toBigInt * bi20 / placeholder[Long](88).toBigInt\n val bi64 = box57.R4[Long].get.toBigInt\n val tuple65 = {(tuple65: (BigInt, BigInt)) =>\n val bi67 = tuple65._2\n val bi68 = tuple65._1\n val bi69 = func26(Coll[BigInt](bi67, bi38, bi39, bi68, bi40))\n val bi70 = bi69 - bi46\n val bi71 = max(bi69, bi48 * bi69)\n val bi72 = max(bi70, bi48 * bi70)\n (if (bi70 >= bi41) { bi20 - coll43(i53).toBigInt } else { coll43(i53).toBigInt } * bi67 * func28(bi40 * bi68 / bi20) / bi20 - if (bi69 >= bi41) { bi20 - coll43(i54).toBigInt } else { coll43(i54).toBigInt } * l27.toBigInt, (((bi71 >= bi49) && (i54 == coll50.size - placeholder[Int](89))) || ((coll50(i54).toBigInt <= bi71) && (coll50(i54 + placeholder[Int](90)).toBigInt >= bi71))) && (((bi72 >= bi49) && (i53 == coll50.size - placeholder[Int](91))) || ((coll50(i53).toBigInt <= bi72) && (coll50(i53 + placeholder[Int](92)).toBigInt >= bi72))))\n }((bi63, bi64))\n val bi66 = tuple65._1\n val i67 = box57.R7[Coll[Int]].get(placeholder[Int](93)) + placeholder[Int](94)\n val l68 = coll29(i67)\n val l69 = coll31(i67)\n ((((((((((bool15 && ((tuple59._1 == tuple19._1) && (tuple59._2 == placeholder[Long](95)))) && (blake2b256(box57.propositionBytes) == coll34)) && (box57.value >= placeholder[Long](96))) && ((tuple60._1 == coll10) && (tuple60._2 == l61))) && bool52) && if (bool56) { placeholder[Long](97) * l55.toBigInt <= bi66 * l61.toBigInt } else { l55.toBigInt >= bi66 * l61.toBigInt }) && ((HEIGHT.toLong >= l62) && (l62 < HEIGHT + placeholder[Int](98).toLong))) && tuple65._2) && if (bool56) { l68 - l61 == l69 } else { l68 + l61 == l69 }) && func32((bi63, bi39))) && func33((bi64, bi38))\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"
},
{
"tokenId": "a4835d01db3fb53d60d84ff4236f8da13fcda442926d237b2bcf6fbff7b96009",
"index": 4,
"amount": 10000,
"name": "Test 9",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0580ade204",
"sigmaType": "SLong",
"renderedValue": "5000000"
},
"R5": {
"serializedValue": "1105f89c9c01840200ec0100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1279804,130,0,118,0]"
}
}
},
{
"boxId": "9f9bc2549cb3797cb4d1191423643ce8d4991854338437a21a91576a2b846731",
"value": 4000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "89e4dac59793776b1a1d55a72c5138fe545dfaa85f95623c456220b22ceee2f7",
"outputTransactionId": "193e6f380e1a4ab45f5e1269ee4d97bc37b70e8a4ccbe63c917a57825e1980f8",
"outputIndex": 0,
"outputGlobalIndex": 40439525,
"outputCreatedAt": 1275563,
"outputSettledAt": 1275567,
"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": 5,
"name": "fQuacks",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R5": {
"serializedValue": "05e607",
"sigmaType": "SLong",
"renderedValue": "499"
},
"R6": {
"serializedValue": "0592db9b01",
"sigmaType": "SLong",
"renderedValue": "1275593"
},
"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": "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",
"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": "4a16e2cc4127bcef79229445de22dd7cdcab8313591e2b39dcbd4e8e08f3c19e",
"transactionId": "8a07c6c831b5ff131dcda7bafaa8d6257bbba5ca4cf3ccbbf6a9705df65f4c5b",
"blockId": "12ed56642e40ad473bdff7d61e0d6970a35dea39fc3c4a107e8a795a99220495",
"value": 4000000,
"index": 0,
"globalIndex": 40440132,
"creationHeight": 1275588,
"settlementHeight": 1275590,
"ergoTree": 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"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 3\n6: 3\n7: 0\n8: 0\n9: 1000000\n10: 4\n11: CBigInt(1000000)\n12: 650000\n13: CBigInt(2)\n14: CBigInt(6)\n15: 2\n16: 3\n17: CBigInt(3)\n18: CBigInt(4)\n19: CBigInt(5)\n20: 1\n21: CBigInt(8)\n22: 4\n23: 122\n24: CBigInt(24)\n25: CBigInt(1000000000000000)\n26: CBigInt(-100)\n27: CBigInt(100)\n28: CBigInt(-12)\n29: CBigInt(12)\n30: 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)\n31: 0\n32: 0\n33: 0\n34: 0\n35: 1\n36: 0\n37: 1\n38: 4\n39: 1\n40: 3\n41: CBigInt(0)\n42: 0\n43: 0\n44: 1\n45: CBigInt(-1)\n46: CBigInt(35)\n47: CBigInt(10)\n48: 1\n49: 1\n50: 1\n51: 1\n52: 0\n53: 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)\n54: 3\n55: 2\n56: 0\n57: 0\n58: 262800\n59: 3\n60: 4\n61: 9000000000001000\n62: 9000000000001000\n63: 1\n64: 2\n65: 8\n66: 2\n67: 0\n68: 1\n69: 1\n70: 0\n71: 10000000\n72: 0\n73: 262800\n74: 1\n75: 1\n76: 1\n77: 1000000\n78: 10000000\n79: 0\n80: -1\n81: 8\n82: 0\n83: 1\n84: 1\n85: 0\n86: 1\n87: 0\n88: 262800\n89: 1\n90: 1\n91: 1\n92: 1\n93: 1\n94: 1\n95: 1\n96: 2000000\n97: -1\n98: 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 coll10 = tuple9._1\n val l11 = SELF.R4[Long].get\n val tuple12 = coll3(placeholder[Int](5))\n val tuple13 = coll5(placeholder[Int](6))\n val coll14 = tuple13._1\n val bool15 = (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (coll3(placeholder[Int](7)) == coll5(placeholder[Int](8)))) && (tuple4._1 == tuple6._1)) && (\n l7 >= placeholder[Int](9).toLong\n )\n ) && (tuple8._1 == coll10)\n ) && (box2.R4[Long].get == l11)\n ) && (tuple12._1 == coll14)\n val l16 = SELF.value\n val l17 = tuple8._2\n val l18 = tuple9._2\n val tuple19 = coll5(placeholder[Int](10))\n val bi20 = placeholder[BigInt](11)\n val l21 = placeholder[Long](12)\n val bi22 = placeholder[BigInt](13)\n val bi23 = bi22 * bi20\n val bi24 = placeholder[BigInt](14) * bi20 * bi20\n val bi25 = bi20 * bi20\n val func26 = {(coll26: Coll[BigInt]) =>\n val bi28 = coll26(placeholder[Int](15))\n val bi29 = l21.toBigInt * bi28\n val bi30 = coll26(placeholder[Int](16))\n bi25 * {(bi31: BigInt) =>\n val bi33 = bi31 * bi31\n val bi34 = bi33 * bi31\n val bi35 = bi34 * bi31\n val bi36 = bi35 * bi31\n bi31 - bi33 / bi23 + bi34 / placeholder[BigInt](17) * bi20 * bi20 - bi35 / placeholder[BigInt](18) * bi20 * bi20 * bi20 + bi36 / placeholder[BigInt](\n 19\n ) * bi20 * bi20 * bi20 * bi20 - bi36 * bi31 / bi24 * bi20 * bi20 * bi20\n }(coll26(placeholder[Int](20)) - bi20) * placeholder[BigInt](21) / bi29 + bi20 * bi30 * coll26(\n placeholder[Int](22)\n ) / bi29 + l21.toBigInt * bi30 / bi22 * bi28\n }\n val l27 = placeholder[Long](23)\n val func28 = {(bi28: BigInt) =>\n val bi30 = bi28 * bi28\n val bi31 = bi30 * bi28\n bi20 - bi28 + bi30 / bi23 - bi31 / bi24 + bi31 * bi28 / placeholder[BigInt](24) * bi20 * bi20 * bi20\n }\n val coll29 = SELF.R5[Coll[Long]].get\n val bi30 = placeholder[BigInt](25)\n val coll31 = box2.R5[Coll[Long]].get\n val func32 = {(tuple32: (BigInt, BigInt)) =>\n val bi34 = tuple32._2\n val bi35 = tuple32._1 - bi34 * bi34 / bi20\n (bi35 > placeholder[BigInt](26)) && (bi35 < placeholder[BigInt](27))\n }\n val func33 = {(tuple33: (BigInt, BigInt)) =>\n val bi35 = tuple33._1\n val bi36 = tuple33._2\n val bi37 = l27.toBigInt * bi20 / bi35 - bi36 * bi36 * bi36 * bi36 * bi36 * bi36 * bi36 * bi36 / bi25 * bi20 * bi20 * bi20 * bi20 * bi20\n val bi38 = if (l27.toBigInt > bi35) { l27.toBigInt / bi35 } else { bi35 / l27.toBigInt }\n (bi37 >= placeholder[BigInt](28) * bi38) && (bi37 <= placeholder[BigInt](29) * bi38)\n }\n val coll34 = placeholder[Coll[Byte]](30)\n sigmaProp(\n if (coll1.size == placeholder[Int](31)) {\n (\n (\n (((bool15 && (tuple4 == tuple6)) && (l7 - l16 > placeholder[Long](32))) && (l17 - l18 >= placeholder[Long](33))) && (\n INPUTS(placeholder[Int](34)).id == SELF.id\n )\n ) && (INPUTS(placeholder[Int](35)).tokens(placeholder[Int](36))._1 == coll14)\n ) && (tuple12._2 == tuple13._2 + placeholder[Long](37))\n } else {(\n val bool35 = tuple12 == tuple13\n val bool36 = coll3(placeholder[Int](38)) == tuple19\n val coll37 = box2.R6[Coll[Long]].get\n val bi38 = coll37(placeholder[Int](39)).toBigInt\n val bi39 = coll37(placeholder[Int](40)).toBigInt\n val bi40 = l11.toBigInt\n val bi41 = placeholder[BigInt](41)\n val box42 = coll1(placeholder[Int](42))\n val coll43 = box42.R5[Coll[Long]].get\n val coll44 = box2.R7[Coll[Int]].get\n val i45 = coll44(placeholder[Int](43))\n val bi46 = l21.toBigInt * bi39 / bi20\n val i47 = coll44(placeholder[Int](44))\n val bi48 = placeholder[BigInt](45)\n val bi49 = placeholder[BigInt](46) * bi20 / placeholder[BigInt](47)\n val coll50 = box42.R4[Coll[Long]].get\n val func51 = {(tuple51: (BigInt, BigInt)) =>\n val bi53 = tuple51._2\n val bi54 = tuple51._1\n val bi55 = func26(Coll[BigInt](bi53, bi38, bi39, bi54, bi40))\n val bi56 = bi55 - bi46\n val bi57 = max(bi55, bi48 * bi55)\n val bi58 = max(bi56, bi48 * bi56)\n (\n if (bi55 >= bi41) { coll43(i45).toBigInt } else { bi20 - coll43(i45).toBigInt } * l27.toBigInt - if (bi56 >= bi41) { coll43(i47).toBigInt } else {\n bi20 - coll43(i47).toBigInt\n } * bi53 * func28(bi40 * bi54 / bi20) / bi20, (\n ((bi57 >= bi49) && (i45 == coll50.size - placeholder[Int](48))) || (\n (coll50(i45).toBigInt <= bi57) && (coll50(i45 + placeholder[Int](49)).toBigInt >= bi57)\n )\n ) && (\n ((bi58 >= bi49) && (i47 == coll50.size - placeholder[Int](50))) || (\n (coll50(i47).toBigInt <= bi58) && (coll50(i47 + placeholder[Int](51)).toBigInt >= bi58)\n )\n )\n )\n }\n val bool52 = box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53)\n val i53 = coll44(placeholder[Int](54))\n val i54 = coll44(placeholder[Int](55))\n if (bool35 && bool36) {(\n val l55 = coll37(placeholder[Int](56))\n val bi56 = coll29(placeholder[Int](57)).toBigInt - l55.toBigInt * bi20 / placeholder[Long](58).toBigInt\n val bi57 = coll29(placeholder[Int](59)).toBigInt\n val tuple58 = func51((bi56, bi57))\n val bi59 = tuple58._1 * coll29(placeholder[Int](60)).toBigInt\n val bi60 = placeholder[Long](61) - tuple4._2.toBigInt\n val bi61 = placeholder[Long](62) - tuple6._2.toBigInt\n val bi62 = coll29(placeholder[Int](63)).toBigInt\n val tuple63 = func51((bi56, bi62))\n val bi64 = tuple63._1 * coll29(placeholder[Int](64)).toBigInt\n (\n (\n (\n (\n (\n (\n (\n ((bool15 && bool35) && (bi30 * l7.toBigInt - bi59 / bi60 > bi30 * l16.toBigInt - bi59 / bi61)) && (\n bi30 * l17.toBigInt - bi64 / bi60 > bi30 * l18.toBigInt - bi64 / bi61\n )\n ) && (coll31 == coll29)\n ) && (tuple63._2 && tuple58._2)\n ) && bool52\n ) && ((HEIGHT.toLong >= l55) && (l55 < HEIGHT + placeholder[Int](65).toLong))\n ) && func32((bi56, bi39))\n ) && func33((bi62, bi38))\n ) && func33((bi57, coll37(placeholder[Int](66)).toBigInt))\n )} else { if (bool36) {(\n val l55 = l17 - l18\n val bool56 = l55 < placeholder[Long](67)\n val box57 = if (bool56) { INPUTS(placeholder[Int](68)) } else { OUTPUTS(placeholder[Int](69)) }\n val tuple58 = box57.tokens(placeholder[Int](70))\n val l59 = if (bool56) { l7 - l16 } else { l16 - l7 }\n val l60 = l59 / placeholder[Long](71)\n val l61 = coll37(placeholder[Int](72))\n val bi62 = box57.R5[Long].get - l61.toBigInt * bi20 / placeholder[Long](73).toBigInt\n val bi63 = box57.R4[Long].get.toBigInt\n val tuple64 = func51((bi62, bi63))\n val bi65 = tuple64._1\n val i66 = box57.R7[Coll[Int]].get(placeholder[Int](74)) + placeholder[Int](75)\n val l67 = coll29(i66)\n val l68 = coll31(i66)\n ((((((((((bool15 && ((tuple58._1 == coll14) && (tuple58._2 == placeholder[Long](76)))) && (blake2b256(box57.propositionBytes) == coll34)) && (box57.value >= l60 + placeholder[Long](77))) && (l59 % placeholder[Long](78) == placeholder[Long](79))) && bool52) && if (bool56) { placeholder[Long](80) * l55.toBigInt <= bi65 * l60.toBigInt } else { l55.toBigInt >= bi65 * l60.toBigInt }) && ((HEIGHT.toLong >= l61) && (l61 < HEIGHT + placeholder[Int](81).toLong))) && tuple64._2) && if (bool56) { l67 - l60 == l68 } else { l67 + l60 == l68 }) && func32((bi62, bi39))) && func33((bi63, bi38))\n )} else {(\n val l55 = l7 - l16\n val bool56 = l55 < placeholder[Long](82)\n val box57 = if (bool56) { INPUTS(placeholder[Int](83)) } else { OUTPUTS(placeholder[Int](84)) }\n val coll58 = box57.tokens\n val tuple59 = coll58(placeholder[Int](85))\n val tuple60 = coll58(placeholder[Int](86))\n val l61 = if (bool56) { l17 - l18 } else { l18 - l17 }\n val l62 = coll37(placeholder[Int](87))\n val bi63 = box57.R5[Long].get - l62.toBigInt * bi20 / placeholder[Long](88).toBigInt\n val bi64 = box57.R4[Long].get.toBigInt\n val tuple65 = {(tuple65: (BigInt, BigInt)) =>\n val bi67 = tuple65._2\n val bi68 = tuple65._1\n val bi69 = func26(Coll[BigInt](bi67, bi38, bi39, bi68, bi40))\n val bi70 = bi69 - bi46\n val bi71 = max(bi69, bi48 * bi69)\n val bi72 = max(bi70, bi48 * bi70)\n (if (bi70 >= bi41) { bi20 - coll43(i53).toBigInt } else { coll43(i53).toBigInt } * bi67 * func28(bi40 * bi68 / bi20) / bi20 - if (bi69 >= bi41) { bi20 - coll43(i54).toBigInt } else { coll43(i54).toBigInt } * l27.toBigInt, (((bi71 >= bi49) && (i54 == coll50.size - placeholder[Int](89))) || ((coll50(i54).toBigInt <= bi71) && (coll50(i54 + placeholder[Int](90)).toBigInt >= bi71))) && (((bi72 >= bi49) && (i53 == coll50.size - placeholder[Int](91))) || ((coll50(i53).toBigInt <= bi72) && (coll50(i53 + placeholder[Int](92)).toBigInt >= bi72))))\n }((bi63, bi64))\n val bi66 = tuple65._1\n val i67 = box57.R7[Coll[Int]].get(placeholder[Int](93)) + placeholder[Int](94)\n val l68 = coll29(i67)\n val l69 = coll31(i67)\n ((((((((((bool15 && ((tuple59._1 == tuple19._1) && (tuple59._2 == placeholder[Long](95)))) && (blake2b256(box57.propositionBytes) == coll34)) && (box57.value >= placeholder[Long](96))) && ((tuple60._1 == coll10) && (tuple60._2 == l61))) && bool52) && if (bool56) { placeholder[Long](97) * l55.toBigInt <= bi66 * l61.toBigInt } else { l55.toBigInt >= bi66 * l61.toBigInt }) && ((HEIGHT.toLong >= l62) && (l62 < HEIGHT + placeholder[Int](98).toLong))) && tuple65._2) && if (bool56) { l68 - l61 == l69 } else { l68 + l61 == l69 }) && func32((bi63, bi39))) && func33((bi64, bi38))\n )} }\n )}\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "d5ab247e7871ad6f6377663243bb404bcadfb99134510b5653d3004de693c60d",
"index": 0,
"amount": 1,
"name": "Test 2",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 8999999999999501,
"name": "fruit",
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"type": "EIP-004"
},
{
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"index": 2,
"amount": 15,
"name": "fQuacks",
"decimals": 6,
"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"amount": 10000,
"name": "Test 9",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0580ade204",
"sigmaType": "SLong",
"renderedValue": "5000000"
},
"R5": {
"serializedValue": "1105f89c9c01840200ec0100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1279804,130,0,118,0]"
},
"R6": {
"serializedValue": "110488db9b01b88d799eca7a82bb0f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1275588,992092,1004175,126657]"
},
"R7": {
"serializedValue": "100418108e018401",
"sigmaType": "Coll[SInt]",
"renderedValue": "[12,8,71,66]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "4e577549de1568d0785e2af243b83d423470e3989770190442a4eb90920d4b75",
"transactionId": "8a07c6c831b5ff131dcda7bafaa8d6257bbba5ca4cf3ccbbf6a9705df65f4c5b",
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"value": 1000000,
"index": 1,
"globalIndex": 40440133,
"creationHeight": 1275588,
"settlementHeight": 1275590,
"ergoTree": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b1001,e0825c,...)))}",
"address": "9hGxTdZKhZ12eZNzg7mCGRpuHTvxayNm7gxPz6rmbMtVpjdjYQh",
"assets": [
{
"tokenId": "aac4169b183c91b291234aace912d976f9d1ec6718ae9f182e1cb193c1b19484",
"index": 0,
"amount": 499,
"name": "fruit",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R5": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R6": {
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"sigmaType": "SInt",
"renderedValue": "0"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "9f9bc2549cb3797cb4d1191423643ce8d4991854338437a21a91576a2b846731"
}
},
"spentTransactionId": "5b9c31d9f0b9524ee3acc896539b7209857292a31bacab097a4bb2cae3683643",
"mainChain": true
},
{
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"transactionId": "8a07c6c831b5ff131dcda7bafaa8d6257bbba5ca4cf3ccbbf6a9705df65f4c5b",
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"index": 2,
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"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": "07b91137d008e09a1b12878becc710bef007eb8cc5acb6f44a35515a38ae5d2b",
"mainChain": true
}
],
"size": 3076,
"isUnconfirmed": false
}