Transaction
ID: eb0bada556...3903
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: 495,105
Total coins transferred: 0.006 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000365 ERG
Raw Transaction Data
{
"id": "eb0bada5564ae3fb2d145e2f039f0ed4e40df2a1ea58264e4b993709e4073903",
"blockId": "624b762c473d12ef53d7ac39fc6278afacc24255bb8940f1b515fc8092f54bae",
"inclusionHeight": 1275386,
"timestamp": 1717039191626,
"index": 3,
"globalIndex": 7273486,
"numConfirmations": 495105,
"inputs": [
{
"boxId": "0a2184c662938456bf559162cdef909f4633495441e7ee2efc523e5041e77438",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7571580084495f9b41beb8cd16a82748c1514b7deff5bcad1cadec3c70df78ac",
"outputTransactionId": "f28ec593b3de895328ba4e96d54d427b71bf309dfdb2e5c674f2cbbfe52a7745",
"outputIndex": 0,
"outputGlobalIndex": 40433478,
"outputCreatedAt": 1275347,
"outputSettledAt": 1275349,
"ergoTree": "10550400040204020404040404060406040004000480897a040806030f424005a0ac4f060102060106040404060601030601040601050402060108040805f4010601180e20c621fe91664b543288dbc371d54471cf31904483cd3ef53f37a0e6518f279e5c06019c0601640601f406010c04000500050004000402040005020408040004000e2041da84b588fa0acb06f773c42ad5de881d2cfa16f084c1835c9c7b7710e8d02404020404060100040004020601ff06012306010a05000402040204000580dac409040005a08a2004020402040204020402040205020580897a0580dac40905000501041005000402040204000402040005a08a200402040204020402040204020502058092f40105010410d821d601db6501fed602b2a5730000d603db63087202d604b27203730100d605db6308a7d606b27205730200d607c17202d608b27203730300d609b27205730400d60a8c720901d60be4c6a70405d60cb27203730500d60db27205730600d60e8c720d01d60fedededededed93c27202c2a793b27203730700b27205730800938c7204018c7206019272077e730905938c720801720a93e4c672020405720b938c720c01720ed610c1a7d6118c720802d6128c720902d613b27205730a00d614730bd615730cd616730dd6179c72167214d6189c9c730e72147214d6199c72147214d61ad9011a12d803d61cb2721a730f00d61d9c7e721506721cd61eb2721a7310009a9a9d9c72199cdad9011f06d804d6219c721f721fd6229c7221721fd6239c7222721fd6249c7223721f999a999a99721f9d722172179d72229c9c7311721472149d72239c9c9c73127214721472149d72249c9c9c9c731372147214721472149d9c7224721f9c9c9c72187214721472140199b2721a73140072147315721d9d9c9c7214721eb2721a731600721d9d9c7e721506721e9c7216721cd61b7317d61cd9011c06d802d61e9c721c721cd61f9c721e721c9a999a997214721c9d721e72179d721f72189d9c721f721c9c9c9c7318721472147214d61d7319d61ee4c6a70511d61fe4c672020511d620d901205ad802d6228c722002d623998c7220019d9c722272227214ed917223731a8f7223731bd621d901215ad804d6238c722101d6248c722102d625999d9c7e721b06721472239d9c9c9c9c9c9c9c722472247224722472247224722472249c9c9c9c9c721972147214721472147214d62695917e721b0672239d7e721b0672239d72237e721b06ed9272259c731c72269072259c731d7226d19593b17201731eedededededed720f9372047206919972077210731f929972117212732093c5b2a4732100c5a7938cb2db6308b2a473220073230001720e938c720c029a8c720d027324d811d62293720c720dd62393b272037325007213d624b27201732600d625938cb2db63087224732700017328d626e4c672020611d6277eb2722673290006d6287eb27226732a0006d6297e720b06d62a732bd62be4c672240511d62ce4c672020710d62db2722c732c00d62e9d9c7e72150672287214d62fb2722c732d00d630732ed6319d9c732f72147330d632e4c67224041195ed72227223ed720f7222957223d80ed6339972117212d6348f72337331d635957234b2a4733200b2a5733300d636b2db63087235733400d63795723499720772109972107207d6389d72377335d639b27226733600d63a9d9c7e99e4c67235050572390672147e733706d63b7ee4c67235040506d63cdad9013c5ad806d63e8c723c02d63f8c723c01d640da721a01830506723e72277228723f7229d641997240722ed642a272409c72307240d643a272419c723072418602999c95927240722a7eb2722b722d00069972147eb2722b722d00067e721b069d9c9c95927241722a7eb2722b722f00069972147eb2722b722f0006723eda721c019d9c7229723f72147214edeced927242723193722d99b172327338ed907eb27232722d00067242927eb272329a722d733900067242eced927243723193722f99b17232733aed907eb27232722f00067243927eb272329a722f733b00067243018602723a723bd63d8c723c01d63e9ab2e4c672350710733c00733dd63fb2721e723e00d640b2721f723e00ededededededededededed720fed938c723601720e938c723602733e93cbc27235721d92c172359a7238733f939e7237734073417225957234907e9c73427233069c723d7e723806927e7233069c723d7e723806ed927ea30572398f72397e9aa37343058c723c029572349399723f72387240939a723f72387240da7220018602723a7228da7221018602723b7227d80fd6339972077210d6348f72337344d635957234b2a4734500b2a5734600d636db63087235d637b27236734700d638b27236734800d63995723499721172129972127211d63ab27226734900d63b9d9c7e99e4c672350505723a0672147e734a06d63c7ee4c67235040506d63ddad9013d5ad806d63f8c723d02d6408c723d01d6419c7230da721a01830506723f7227722872407229d6429c7230997241722ed643a272419c72307241d644a272429c723072428602999d9c9c95927242722a7eb2722b722f00069972147eb2722b722f0006723fda721c019d9c72297240721472149c95927241722a7eb2722b722d00069972147eb2722b722d00067e721b06edeced927243723193722d99b17232734bed907eb27232722d00067243927eb272329a722d734c00067243eced927244723193722f99b17232734ded907eb27232722f00067244927eb272329a722f734e00067244018602723b723cd63e8c723d01d63f9ab2e4c672350710734f007350d640b2721e723f00d641b2721f723f00ededededededededededed720fed938c7237018c721301938c723702735193cbc27235721d92c172357352ed938c723801720a938c72380272397225957234907e9c73537233069c723e7e723906927e7233069c723e7e723906ed927ea305723a8f723a7e9aa37354058c723d029572349399724072397241939a724072397241da7220018602723b7228da7221018602723c7227",
"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: 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)\n26: CBigInt(-100)\n27: CBigInt(100)\n28: CBigInt(-12)\n29: CBigInt(12)\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0\n36: 1\n37: 4\n38: 0\n39: 0\n40: 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)\n41: 1\n42: 2\n43: CBigInt(0)\n44: 0\n45: 1\n46: CBigInt(-1)\n47: CBigInt(35)\n48: CBigInt(10)\n49: 0\n50: 1\n51: 1\n52: 0\n53: 10000000\n54: 0\n55: 262800\n56: 1\n57: 1\n58: 1\n59: 1\n60: 1\n61: 1\n62: 1\n63: 1000000\n64: 10000000\n65: 0\n66: -1\n67: 8\n68: 0\n69: 1\n70: 1\n71: 0\n72: 1\n73: 0\n74: 262800\n75: 1\n76: 1\n77: 1\n78: 1\n79: 1\n80: 1\n81: 1\n82: 2000000\n83: -1\n84: 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 = placeholder[Coll[Byte]](25)\n val coll30 = SELF.R5[Coll[Long]].get\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 sigmaProp(\n if (coll1.size == placeholder[Int](30)) {\n (\n (\n (((bool15 && (tuple4 == tuple6)) && (l7 - l16 > placeholder[Long](31))) && (l17 - l18 >= placeholder[Long](32))) && (\n INPUTS(placeholder[Int](33)).id == SELF.id\n )\n ) && (INPUTS(placeholder[Int](34)).tokens(placeholder[Int](35))._1 == coll14)\n ) && (tuple12._2 == tuple13._2 + placeholder[Long](36))\n } else {(\n val bool34 = tuple12 == tuple13\n val bool35 = coll3(placeholder[Int](37)) == tuple19\n val box36 = coll1(placeholder[Int](38))\n val bool37 = box36.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40)\n val coll38 = box2.R6[Coll[Long]].get\n val bi39 = coll38(placeholder[Int](41)).toBigInt\n val bi40 = coll38(placeholder[Int](42)).toBigInt\n val bi41 = l11.toBigInt\n val bi42 = placeholder[BigInt](43)\n val coll43 = box36.R5[Coll[Long]].get\n val coll44 = box2.R7[Coll[Int]].get\n val i45 = coll44(placeholder[Int](44))\n val bi46 = l21.toBigInt * bi40 / bi20\n val i47 = coll44(placeholder[Int](45))\n val bi48 = placeholder[BigInt](46)\n val bi49 = placeholder[BigInt](47) * bi20 / placeholder[BigInt](48)\n val coll50 = box36.R4[Coll[Long]].get\n if (bool34 && bool35) { bool15 && bool34 } else { if (bool35) {(\n val l51 = l17 - l18\n val bool52 = l51 < placeholder[Long](49)\n val box53 = if (bool52) { INPUTS(placeholder[Int](50)) } else { OUTPUTS(placeholder[Int](51)) }\n val tuple54 = box53.tokens(placeholder[Int](52))\n val l55 = if (bool52) { l7 - l16 } else { l16 - l7 }\n val l56 = l55 / placeholder[Long](53)\n val l57 = coll38(placeholder[Int](54))\n val bi58 = box53.R5[Long].get - l57.toBigInt * bi20 / placeholder[Long](55).toBigInt\n val bi59 = box53.R4[Long].get.toBigInt\n val tuple60 = {(tuple60: (BigInt, BigInt)) =>\n val bi62 = tuple60._2\n val bi63 = tuple60._1\n val bi64 = func26(Coll[BigInt](bi62, bi39, bi40, bi63, bi41))\n val bi65 = bi64 - bi46\n val bi66 = max(bi64, bi48 * bi64)\n val bi67 = max(bi65, bi48 * bi65)\n (if (bi64 >= bi42) { coll43(i45).toBigInt } else { bi20 - coll43(i45).toBigInt } * l27.toBigInt - if (bi65 >= bi42) { coll43(i47).toBigInt } else { bi20 - coll43(i47).toBigInt } * bi62 * func28(bi41 * bi63 / bi20) / bi20, (((bi66 >= bi49) && (i45 == coll50.size - placeholder[Int](56))) || ((coll50(i45).toBigInt <= bi66) && (coll50(i45 + placeholder[Int](57)).toBigInt >= bi66))) && (((bi67 >= bi49) && (i47 == coll50.size - placeholder[Int](58))) || ((coll50(i47).toBigInt <= bi67) && (coll50(i47 + placeholder[Int](59)).toBigInt >= bi67))))\n }((bi58, bi59))\n val bi61 = tuple60._1\n val i62 = box53.R7[Coll[Int]].get(placeholder[Int](60)) + placeholder[Int](61)\n val l63 = coll30(i62)\n val l64 = coll31(i62)\n ((((((((((bool15 && ((tuple54._1 == coll14) && (tuple54._2 == placeholder[Long](62)))) && (blake2b256(box53.propositionBytes) == coll29)) && (box53.value >= l56 + placeholder[Long](63))) && (l55 % placeholder[Long](64) == placeholder[Long](65))) && bool37) && if (bool52) { placeholder[Long](66) * l51.toBigInt <= bi61 * l56.toBigInt } else { l51.toBigInt >= bi61 * l56.toBigInt }) && ((HEIGHT.toLong >= l57) && (l57 < HEIGHT + placeholder[Int](67).toLong))) && tuple60._2) && if (bool52) { l63 - l56 == l64 } else { l63 + l56 == l64 }) && func32((bi58, bi40))) && func33((bi59, bi39))\n )} else {(\n val l51 = l7 - l16\n val bool52 = l51 < placeholder[Long](68)\n val box53 = if (bool52) { INPUTS(placeholder[Int](69)) } else { OUTPUTS(placeholder[Int](70)) }\n val coll54 = box53.tokens\n val tuple55 = coll54(placeholder[Int](71))\n val tuple56 = coll54(placeholder[Int](72))\n val l57 = if (bool52) { l17 - l18 } else { l18 - l17 }\n val l58 = coll38(placeholder[Int](73))\n val bi59 = box53.R5[Long].get - l58.toBigInt * bi20 / placeholder[Long](74).toBigInt\n val bi60 = box53.R4[Long].get.toBigInt\n val tuple61 = {(tuple61: (BigInt, BigInt)) =>\n val bi63 = tuple61._2\n val bi64 = tuple61._1\n val bi65 = bi48 * func26(Coll[BigInt](bi63, bi39, bi40, bi64, bi41))\n val bi66 = bi48 * bi65 - bi46\n val bi67 = max(bi65, bi48 * bi65)\n val bi68 = max(bi66, bi48 * bi66)\n (if (bi66 >= bi42) { coll43(i47).toBigInt } else { bi20 - coll43(i47).toBigInt } * bi63 * func28(bi41 * bi64 / bi20) / bi20 - if (bi65 >= bi42) { coll43(i45).toBigInt } else { bi20 - coll43(i45).toBigInt } * l27.toBigInt, (((bi67 >= bi49) && (i45 == coll50.size - placeholder[Int](75))) || ((coll50(i45).toBigInt <= bi67) && (coll50(i45 + placeholder[Int](76)).toBigInt >= bi67))) && (((bi68 >= bi49) && (i47 == coll50.size - placeholder[Int](77))) || ((coll50(i47).toBigInt <= bi68) && (coll50(i47 + placeholder[Int](78)).toBigInt >= bi68))))\n }((bi59, bi60))\n val bi62 = tuple61._1\n val i63 = box53.R7[Coll[Int]].get(placeholder[Int](79)) + placeholder[Int](80)\n val l64 = coll30(i63)\n val l65 = coll31(i63)\n ((((((((((bool15 && ((tuple55._1 == tuple19._1) && (tuple55._2 == placeholder[Long](81)))) && (blake2b256(box53.propositionBytes) == coll29)) && (box53.value >= placeholder[Long](82))) && ((tuple56._1 == coll10) && (tuple56._2 == l57))) && bool37) && if (bool52) { placeholder[Long](83) * l51.toBigInt <= bi62 * l57.toBigInt } else { l51.toBigInt >= bi62 * l57.toBigInt }) && ((HEIGHT.toLong >= l58) && (l58 < HEIGHT + placeholder[Int](84).toLong))) && tuple61._2) && if (bool52) { l64 - l57 == l65 } else { l64 + l57 == l65 }) && func32((bi59, bi40))) && func33((bi60, bi39))\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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"type": "EIP-004"
},
{
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"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": "1105f89c9c01840200840200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1279804,130,0,130,0]"
}
}
},
{
"boxId": "1deeadae9372b11e1287a6caaf965c6050cf3884feb9d79f16e68b48dee46c2c",
"value": 4000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e0e4515bd3cb7f6dfffb37d787fb65f277b869bffb1c0a96312251f045d291b6",
"outputTransactionId": "77958bd005018aede2dd202b5434260f595888b88c3391f60044cc689ebf685f",
"outputIndex": 0,
"outputGlobalIndex": 40424052,
"outputCreatedAt": 1275098,
"outputSettledAt": 1275103,
"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": "05f0d39b01",
"sigmaType": "SLong",
"renderedValue": "1275128"
},
"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": "863922bcdc9f0c24d01404b4952e1c3c88c04f58845b90256615bb17d0580a48",
"transactionId": "eb0bada5564ae3fb2d145e2f039f0ed4e40df2a1ea58264e4b993709e4073903",
"blockId": "624b762c473d12ef53d7ac39fc6278afacc24255bb8940f1b515fc8092f54bae",
"value": 4000000,
"index": 0,
"globalIndex": 40434250,
"creationHeight": 1275384,
"settlementHeight": 1275386,
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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: 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)\n26: CBigInt(-100)\n27: CBigInt(100)\n28: CBigInt(-12)\n29: CBigInt(12)\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0\n36: 1\n37: 4\n38: 0\n39: 0\n40: 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)\n41: 1\n42: 2\n43: CBigInt(0)\n44: 0\n45: 1\n46: CBigInt(-1)\n47: CBigInt(35)\n48: CBigInt(10)\n49: 0\n50: 1\n51: 1\n52: 0\n53: 10000000\n54: 0\n55: 262800\n56: 1\n57: 1\n58: 1\n59: 1\n60: 1\n61: 1\n62: 1\n63: 1000000\n64: 10000000\n65: 0\n66: -1\n67: 8\n68: 0\n69: 1\n70: 1\n71: 0\n72: 1\n73: 0\n74: 262800\n75: 1\n76: 1\n77: 1\n78: 1\n79: 1\n80: 1\n81: 1\n82: 2000000\n83: -1\n84: 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 = placeholder[Coll[Byte]](25)\n val coll30 = SELF.R5[Coll[Long]].get\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 sigmaProp(\n if (coll1.size == placeholder[Int](30)) {\n (\n (\n (((bool15 && (tuple4 == tuple6)) && (l7 - l16 > placeholder[Long](31))) && (l17 - l18 >= placeholder[Long](32))) && (\n INPUTS(placeholder[Int](33)).id == SELF.id\n )\n ) && (INPUTS(placeholder[Int](34)).tokens(placeholder[Int](35))._1 == coll14)\n ) && (tuple12._2 == tuple13._2 + placeholder[Long](36))\n } else {(\n val bool34 = tuple12 == tuple13\n val bool35 = coll3(placeholder[Int](37)) == tuple19\n val box36 = coll1(placeholder[Int](38))\n val bool37 = box36.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40)\n val coll38 = box2.R6[Coll[Long]].get\n val bi39 = coll38(placeholder[Int](41)).toBigInt\n val bi40 = coll38(placeholder[Int](42)).toBigInt\n val bi41 = l11.toBigInt\n val bi42 = placeholder[BigInt](43)\n val coll43 = box36.R5[Coll[Long]].get\n val coll44 = box2.R7[Coll[Int]].get\n val i45 = coll44(placeholder[Int](44))\n val bi46 = l21.toBigInt * bi40 / bi20\n val i47 = coll44(placeholder[Int](45))\n val bi48 = placeholder[BigInt](46)\n val bi49 = placeholder[BigInt](47) * bi20 / placeholder[BigInt](48)\n val coll50 = box36.R4[Coll[Long]].get\n if (bool34 && bool35) { bool15 && bool34 } else { if (bool35) {(\n val l51 = l17 - l18\n val bool52 = l51 < placeholder[Long](49)\n val box53 = if (bool52) { INPUTS(placeholder[Int](50)) } else { OUTPUTS(placeholder[Int](51)) }\n val tuple54 = box53.tokens(placeholder[Int](52))\n val l55 = if (bool52) { l7 - l16 } else { l16 - l7 }\n val l56 = l55 / placeholder[Long](53)\n val l57 = coll38(placeholder[Int](54))\n val bi58 = box53.R5[Long].get - l57.toBigInt * bi20 / placeholder[Long](55).toBigInt\n val bi59 = box53.R4[Long].get.toBigInt\n val tuple60 = {(tuple60: (BigInt, BigInt)) =>\n val bi62 = tuple60._2\n val bi63 = tuple60._1\n val bi64 = func26(Coll[BigInt](bi62, bi39, bi40, bi63, bi41))\n val bi65 = bi64 - bi46\n val bi66 = max(bi64, bi48 * bi64)\n val bi67 = max(bi65, bi48 * bi65)\n (if (bi64 >= bi42) { coll43(i45).toBigInt } else { bi20 - coll43(i45).toBigInt } * l27.toBigInt - if (bi65 >= bi42) { coll43(i47).toBigInt } else { bi20 - coll43(i47).toBigInt } * bi62 * func28(bi41 * bi63 / bi20) / bi20, (((bi66 >= bi49) && (i45 == coll50.size - placeholder[Int](56))) || ((coll50(i45).toBigInt <= bi66) && (coll50(i45 + placeholder[Int](57)).toBigInt >= bi66))) && (((bi67 >= bi49) && (i47 == coll50.size - placeholder[Int](58))) || ((coll50(i47).toBigInt <= bi67) && (coll50(i47 + placeholder[Int](59)).toBigInt >= bi67))))\n }((bi58, bi59))\n val bi61 = tuple60._1\n val i62 = box53.R7[Coll[Int]].get(placeholder[Int](60)) + placeholder[Int](61)\n val l63 = coll30(i62)\n val l64 = coll31(i62)\n ((((((((((bool15 && ((tuple54._1 == coll14) && (tuple54._2 == placeholder[Long](62)))) && (blake2b256(box53.propositionBytes) == coll29)) && (box53.value >= l56 + placeholder[Long](63))) && (l55 % placeholder[Long](64) == placeholder[Long](65))) && bool37) && if (bool52) { placeholder[Long](66) * l51.toBigInt <= bi61 * l56.toBigInt } else { l51.toBigInt >= bi61 * l56.toBigInt }) && ((HEIGHT.toLong >= l57) && (l57 < HEIGHT + placeholder[Int](67).toLong))) && tuple60._2) && if (bool52) { l63 - l56 == l64 } else { l63 + l56 == l64 }) && func32((bi58, bi40))) && func33((bi59, bi39))\n )} else {(\n val l51 = l7 - l16\n val bool52 = l51 < placeholder[Long](68)\n val box53 = if (bool52) { INPUTS(placeholder[Int](69)) } else { OUTPUTS(placeholder[Int](70)) }\n val coll54 = box53.tokens\n val tuple55 = coll54(placeholder[Int](71))\n val tuple56 = coll54(placeholder[Int](72))\n val l57 = if (bool52) { l17 - l18 } else { l18 - l17 }\n val l58 = coll38(placeholder[Int](73))\n val bi59 = box53.R5[Long].get - l58.toBigInt * bi20 / placeholder[Long](74).toBigInt\n val bi60 = box53.R4[Long].get.toBigInt\n val tuple61 = {(tuple61: (BigInt, BigInt)) =>\n val bi63 = tuple61._2\n val bi64 = tuple61._1\n val bi65 = bi48 * func26(Coll[BigInt](bi63, bi39, bi40, bi64, bi41))\n val bi66 = bi48 * bi65 - bi46\n val bi67 = max(bi65, bi48 * bi65)\n val bi68 = max(bi66, bi48 * bi66)\n (if (bi66 >= bi42) { coll43(i47).toBigInt } else { bi20 - coll43(i47).toBigInt } * bi63 * func28(bi41 * bi64 / bi20) / bi20 - if (bi65 >= bi42) { coll43(i45).toBigInt } else { bi20 - coll43(i45).toBigInt } * l27.toBigInt, (((bi67 >= bi49) && (i45 == coll50.size - placeholder[Int](75))) || ((coll50(i45).toBigInt <= bi67) && (coll50(i45 + placeholder[Int](76)).toBigInt >= bi67))) && (((bi68 >= bi49) && (i47 == coll50.size - placeholder[Int](77))) || ((coll50(i47).toBigInt <= bi68) && (coll50(i47 + placeholder[Int](78)).toBigInt >= bi68))))\n }((bi59, bi60))\n val bi62 = tuple61._1\n val i63 = box53.R7[Coll[Int]].get(placeholder[Int](79)) + placeholder[Int](80)\n val l64 = coll30(i63)\n val l65 = coll31(i63)\n ((((((((((bool15 && ((tuple55._1 == tuple19._1) && (tuple55._2 == placeholder[Long](81)))) && (blake2b256(box53.propositionBytes) == coll29)) && (box53.value >= placeholder[Long](82))) && ((tuple56._1 == coll10) && (tuple56._2 == l57))) && bool37) && if (bool52) { placeholder[Long](83) * l51.toBigInt <= bi62 * l57.toBigInt } else { l51.toBigInt >= bi62 * l57.toBigInt }) && ((HEIGHT.toLong >= l58) && (l58 < HEIGHT + placeholder[Int](84).toLong))) && tuple61._2) && if (bool52) { l64 - l57 == l65 } else { l64 + l57 == l65 }) && func32((bi59, bi40))) && func33((bi60, bi39))\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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},
{
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"index": 2,
"amount": 15,
"name": "fQuacks",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 10000,
"name": "fCounter",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a4835d01db3fb53d60d84ff4236f8da13fcda442926d237b2bcf6fbff7b96009",
"index": 4,
"amount": 10000,
"name": "Test 9",
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}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0580ade204",
"sigmaType": "SLong",
"renderedValue": "5000000"
},
"R5": {
"serializedValue": "1105f89c9c01840200840200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1279804,130,0,130,0]"
},
"R6": {
"serializedValue": "1103f0d79b01b88d79a8ea0f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1275384,992092,129684]"
},
"R7": {
"serializedValue": "10021c14",
"sigmaType": "Coll[SInt]",
"renderedValue": "[14,10]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "26dbb81a07fbe295056ba87b4cd2235735b576a3740dea55b2d8ea8d6e236918",
"transactionId": "eb0bada5564ae3fb2d145e2f039f0ed4e40df2a1ea58264e4b993709e4073903",
"blockId": "624b762c473d12ef53d7ac39fc6278afacc24255bb8940f1b515fc8092f54bae",
"value": 1000000,
"index": 1,
"globalIndex": 40434251,
"creationHeight": 1275384,
"settlementHeight": 1275386,
"ergoTree": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b1001,e0825c,...)))}",
"address": "9hGxTdZKhZ12eZNzg7mCGRpuHTvxayNm7gxPz6rmbMtVpjdjYQh",
"assets": [
{
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"index": 0,
"amount": 499,
"name": "fruit",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "SLong",
"renderedValue": "0"
},
"R5": {
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"sigmaType": "SInt",
"renderedValue": "0"
},
"R6": {
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"sigmaType": "SInt",
"renderedValue": "0"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "1deeadae9372b11e1287a6caaf965c6050cf3884feb9d79f16e68b48dee46c2c"
}
},
"spentTransactionId": "86c7e718982a95da951c7dd5d6d86d7d0a2f3c4b379e2eee12658c7b08635ccc",
"mainChain": true
},
{
"boxId": "4322d22548a991577cfc42d5eedc2db4119e03911ee1b594f01d8b6de719fe52",
"transactionId": "eb0bada5564ae3fb2d145e2f039f0ed4e40df2a1ea58264e4b993709e4073903",
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"index": 2,
"globalIndex": 40434252,
"creationHeight": 1275384,
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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)}",
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"assets": [],
"additionalRegisters": {},
"spentTransactionId": "fe8150d22097335ba7c46cd69b5d3dc993136f64b14529e04da0429c7b9510da",
"mainChain": true
}
],
"size": 2740,
"isUnconfirmed": false
}