Transaction
ID: 63c0cfcd94...09fb
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)
Spent
Address:
Spent in transaction:
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: 499,418
Total coins transferred: 0.006 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000321 ERG
Raw Transaction Data
{
"id": "63c0cfcd94ee84d589fc86b3e75d71f27d4ff8c0038351cc1c8e41c7b87d09fb",
"blockId": "1eb46d9987f0957458d8bced416075ece7c67f0e04a5d0a2e4574c98197c5557",
"inclusionHeight": 1275831,
"timestamp": 1717089992210,
"index": 4,
"globalIndex": 7276710,
"numConfirmations": 499418,
"inputs": [
{
"boxId": "23fb4cd424505a90e5da6eafec3e15cb2362e40edaeceb6620c4da42a3a9089f",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "4854bf0cf33d372faed8df211313b7081b1fd9ad4548afe68ee691a3ecfd330a",
"outputTransactionId": "ef65cddc359b9a960d6b6868cd3d7a8135c3c6a251cda7bef2d288d91bfdee4b",
"outputIndex": 0,
"outputGlobalIndex": 40447884,
"outputCreatedAt": 1275823,
"outputSettledAt": 1275825,
"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: 650000\n12: CBigInt(1000000)\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: CBigInt(24)\n24: 122\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: 2\n40: 3\n41: CBigInt(0)\n42: 0\n43: 3\n44: 2\n45: CBigInt(-1)\n46: CBigInt(35)\n47: CBigInt(10)\n48: 1\n49: 1\n50: 1\n51: 1\n52: 1\n53: 0\n54: 1\n55: 1\n56: 1\n57: 1\n58: 1\n59: 0\n60: 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)\n61: 0\n62: 0\n63: 262800\n64: 3\n65: 4\n66: 2\n67: 10000000\n68: 9000000000001000\n69: 9000000000001000\n70: 1\n71: 8\n72: 0\n73: 1\n74: 1\n75: 0\n76: 10000000\n77: 0\n78: 262800\n79: 1\n80: 1\n81: 1\n82: 1000000\n83: 10000000\n84: 0\n85: -1\n86: 8\n87: 0\n88: 1\n89: 1\n90: 0\n91: 1\n92: 0\n93: 262800\n94: 1\n95: 1\n96: 1\n97: 2000000\n98: -1\n99: 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 l20 = placeholder[Long](11)\n val bi21 = placeholder[BigInt](12)\n val bi22 = placeholder[BigInt](13)\n val bi23 = bi22 * bi21\n val bi24 = placeholder[BigInt](14) * bi21 * bi21\n val bi25 = bi21 * bi21\n val func26 = {(coll26: Coll[BigInt]) =>\n val bi28 = coll26(placeholder[Int](15))\n val bi29 = l20.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) * bi21 * bi21 - bi35 / placeholder[BigInt](18) * bi21 * bi21 * bi21 + bi36 / placeholder[BigInt](\n 19\n ) * bi21 * bi21 * bi21 * bi21 - bi36 * bi31 / bi24 * bi21 * bi21 * bi21\n }(coll26(placeholder[Int](20)) - bi21) * placeholder[BigInt](21) / bi29 + bi21 * bi30 * coll26(\n placeholder[Int](22)\n ) / bi29 + l20.toBigInt * bi30 / bi22 * bi28\n }\n val func27 = {(bi27: BigInt) =>\n val bi29 = bi27 * bi27\n val bi30 = bi29 * bi27\n bi21 - bi27 + bi29 / bi23 - bi30 / bi24 + bi30 * bi27 / placeholder[BigInt](23) * bi21 * bi21 * bi21\n }\n val l28 = placeholder[Long](24)\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 / bi21\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 = l28.toBigInt * bi21 / bi35 - bi36 * bi36 * bi36 * bi36 * bi36 * bi36 * bi36 * bi36 / bi25 * bi21 * bi21 * bi21 * bi21 * bi21\n val bi38 = if (l28.toBigInt > bi35) { l28.toBigInt / bi35 } else { bi35 / l28.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 = l20.toBigInt * bi39 / bi21\n val bi42 = placeholder[BigInt](41)\n val box43 = coll1(placeholder[Int](42))\n val coll44 = box43.R5[Coll[Long]].get\n val coll45 = box2.R7[Coll[Int]].get\n val i46 = coll45(placeholder[Int](43))\n val i47 = coll45(placeholder[Int](44))\n val bi48 = placeholder[BigInt](45)\n val bi49 = placeholder[BigInt](46) * bi21 / placeholder[BigInt](47)\n val coll50 = box43.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 - bi41\n val bi57 = max(bi55, bi48 * bi55)\n val bi58 = max(bi56, bi48 * bi56)\n (\n if (bi56 >= bi42) { bi21 - coll44(i46).toBigInt } else { coll44(i46).toBigInt } * bi53 * func27(bi40 * bi54 / bi21) / bi21 - if (bi55 >= bi42) {\n bi21 - coll44(i47).toBigInt\n } else { coll44(i47).toBigInt } * l28.toBigInt, (\n ((bi57 >= bi49) && (i47 == coll50.size - placeholder[Int](48))) || (\n (coll50(i47).toBigInt <= bi57) && (coll50(i47 + placeholder[Int](49)).toBigInt >= bi57)\n )\n ) && (\n ((bi58 >= bi49) && (i46 == coll50.size - placeholder[Int](50))) || (\n (coll50(i46).toBigInt <= bi58) && (coll50(i46 + placeholder[Int](51)).toBigInt >= bi58)\n )\n )\n )\n }\n val bi52 = coll37(placeholder[Int](52)).toBigInt\n val i53 = coll45(placeholder[Int](53))\n val i54 = coll45(placeholder[Int](54))\n val func55 = {(tuple55: (BigInt, BigInt)) =>\n val bi57 = tuple55._2\n val bi58 = tuple55._1\n val bi59 = func26(Coll[BigInt](bi57, bi52, bi39, bi58, bi40))\n val bi60 = bi59 - bi41\n val bi61 = max(bi59, bi48 * bi59)\n val bi62 = max(bi60, bi48 * bi60)\n (\n if (bi59 >= bi42) { coll44(i53).toBigInt } else { bi21 - coll44(i53).toBigInt } * l28.toBigInt - if (bi60 >= bi42) { coll44(i54).toBigInt } else {\n bi21 - coll44(i54).toBigInt\n } * bi57 * func27(bi40 * bi58 / bi21) / bi21, (\n ((bi61 >= bi49) && (i53 == coll50.size - placeholder[Int](55))) || (\n (coll50(i53).toBigInt <= bi61) && (coll50(i53 + placeholder[Int](56)).toBigInt >= bi61)\n )\n ) && (\n ((bi62 >= bi49) && (i54 == coll50.size - placeholder[Int](57))) || (\n (coll50(i54).toBigInt <= bi62) && (coll50(i54 + placeholder[Int](58)).toBigInt >= bi62)\n )\n )\n )\n }\n val bool56 = box43.tokens(placeholder[Int](59))._1 == placeholder[Coll[Byte]](60)\n if (bool35 && bool36) {(\n val l57 = coll37(placeholder[Int](61))\n val bi58 = coll29(placeholder[Int](62)).toBigInt - l57.toBigInt * bi21 / placeholder[Long](63).toBigInt\n val bi59 = coll29(placeholder[Int](64)).toBigInt\n val tuple60 = func51((bi58, bi59))\n val bi61 = coll29(placeholder[Int](65)).toBigInt\n val bi62 = tuple60._1 * bi61\n val l63 = coll29(placeholder[Int](66))\n val bi64 = l63 * placeholder[Long](67).toBigInt\n val bi65 = placeholder[Long](68) - tuple4._2.toBigInt\n val bi66 = placeholder[Long](69) - tuple6._2.toBigInt\n val bi67 = coll29(placeholder[Int](70)).toBigInt\n val tuple68 = func55((bi58, bi67))\n val bi69 = tuple68._1 * l63.toBigInt\n (\n (\n (\n (\n (\n (\n (\n ((bool15 && bool35) && (bi30 * l7.toBigInt - bi62 + bi64 / bi65 > bi30 * l16.toBigInt - bi62 + bi64 / bi66)) && (\n bi30 * l17.toBigInt - bi69 + bi61 / bi65 > bi30 * l18.toBigInt - bi69 + bi61 / bi66\n )\n ) && (coll31 == coll29)\n ) && (tuple68._2 && tuple60._2)\n ) && bool56\n ) && ((HEIGHT.toLong >= l57) && (l57 < HEIGHT + placeholder[Int](71).toLong))\n ) && func32((bi58, bi39))\n ) && func33((bi67, bi52))\n ) && func33((bi59, bi38))\n )} else { if (bool36) {(\n val l57 = l17 - l18\n val bool58 = l57 < placeholder[Long](72)\n val box59 = if (bool58) { INPUTS(placeholder[Int](73)) } else { OUTPUTS(placeholder[Int](74)) }\n val tuple60 = box59.tokens(placeholder[Int](75))\n val l61 = if (bool58) { l7 - l16 } else { l16 - l7 }\n val l62 = l61 / placeholder[Long](76)\n val l63 = coll37(placeholder[Int](77))\n val bi64 = box59.R5[Long].get - l63.toBigInt * bi21 / placeholder[Long](78).toBigInt\n val bi65 = box59.R4[Long].get.toBigInt\n val tuple66 = func55((bi64, bi65))\n val bi67 = tuple66._1\n val i68 = box59.R7[Coll[Int]].get(placeholder[Int](79)) + placeholder[Int](80)\n val l69 = coll29(i68)\n val l70 = coll31(i68)\n ((((((((((bool15 && ((tuple60._1 == coll14) && (tuple60._2 == placeholder[Long](81)))) && (blake2b256(box59.propositionBytes) == coll34)) && (box59.value >= l62 + placeholder[Long](82))) && (l61 % placeholder[Long](83) == placeholder[Long](84))) && bool56) && if (bool58) { placeholder[Long](85) * l57.toBigInt <= bi67 * l62.toBigInt } else { l57.toBigInt >= bi67 * l62.toBigInt }) && ((HEIGHT.toLong >= l63) && (l63 < HEIGHT + placeholder[Int](86).toLong))) && tuple66._2) && if (bool58) { l69 - l62 == l70 } else { l69 + l62 == l70 }) && func32((bi64, bi39))) && func33((bi65, bi52))\n )} else {(\n val l57 = l7 - l16\n val bool58 = l57 < placeholder[Long](87)\n val box59 = if (bool58) { INPUTS(placeholder[Int](88)) } else { OUTPUTS(placeholder[Int](89)) }\n val coll60 = box59.tokens\n val tuple61 = coll60(placeholder[Int](90))\n val tuple62 = coll60(placeholder[Int](91))\n val l63 = if (bool58) { l17 - l18 } else { l18 - l17 }\n val l64 = coll37(placeholder[Int](92))\n val bi65 = box59.R5[Long].get - l64.toBigInt * bi21 / placeholder[Long](93).toBigInt\n val bi66 = box59.R4[Long].get.toBigInt\n val tuple67 = func51((bi65, bi66))\n val bi68 = tuple67._1\n val i69 = box59.R7[Coll[Int]].get(placeholder[Int](94)) + placeholder[Int](95)\n val l70 = coll29(i69)\n val l71 = coll31(i69)\n ((((((((((bool15 && ((tuple61._1 == tuple19._1) && (tuple61._2 == placeholder[Long](96)))) && (blake2b256(box59.propositionBytes) == coll34)) && (box59.value >= placeholder[Long](97))) && ((tuple62._1 == coll10) && (tuple62._2 == l63))) && bool56) && if (bool58) { placeholder[Long](98) * l57.toBigInt <= bi68 * l63.toBigInt } else { l57.toBigInt >= bi68 * l63.toBigInt }) && ((HEIGHT.toLong >= l64) && (l64 < HEIGHT + placeholder[Int](99).toLong))) && tuple67._2) && if (bool58) { l70 - l63 == l71 } else { l70 + l63 == l71 }) && func32((bi65, bi39))) && func33((bi66, bi52))\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": "87c68a0811aa9d5727e7a5fa857ebcefdc74cb652ed62d6c7db2f526032967a8",
"value": 4000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "638e13030e57ecc8a8c70c3e88c4d9aa7b047361f915c5663c7b036d3f79e748",
"outputTransactionId": "790a380a20adca303ad4210d7a245043045945712068d6633dacfab11e16e548",
"outputIndex": 0,
"outputGlobalIndex": 40447922,
"outputCreatedAt": 1275825,
"outputSettledAt": 1275827,
"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": "059edf9b01",
"sigmaType": "SLong",
"renderedValue": "1275855"
},
"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": "a1e639af4d312d73269accc5091e0da4a44aee8a7bfbfe8ada9a86f1a955e9f8",
"transactionId": "63c0cfcd94ee84d589fc86b3e75d71f27d4ff8c0038351cc1c8e41c7b87d09fb",
"blockId": "1eb46d9987f0957458d8bced416075ece7c67f0e04a5d0a2e4574c98197c5557",
"value": 4000000,
"index": 0,
"globalIndex": 40447979,
"creationHeight": 1275829,
"settlementHeight": 1275831,
"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: 650000\n12: CBigInt(1000000)\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: CBigInt(24)\n24: 122\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: 2\n40: 3\n41: CBigInt(0)\n42: 0\n43: 3\n44: 2\n45: CBigInt(-1)\n46: CBigInt(35)\n47: CBigInt(10)\n48: 1\n49: 1\n50: 1\n51: 1\n52: 1\n53: 0\n54: 1\n55: 1\n56: 1\n57: 1\n58: 1\n59: 0\n60: 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)\n61: 0\n62: 0\n63: 262800\n64: 3\n65: 4\n66: 2\n67: 10000000\n68: 9000000000001000\n69: 9000000000001000\n70: 1\n71: 8\n72: 0\n73: 1\n74: 1\n75: 0\n76: 10000000\n77: 0\n78: 262800\n79: 1\n80: 1\n81: 1\n82: 1000000\n83: 10000000\n84: 0\n85: -1\n86: 8\n87: 0\n88: 1\n89: 1\n90: 0\n91: 1\n92: 0\n93: 262800\n94: 1\n95: 1\n96: 1\n97: 2000000\n98: -1\n99: 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 l20 = placeholder[Long](11)\n val bi21 = placeholder[BigInt](12)\n val bi22 = placeholder[BigInt](13)\n val bi23 = bi22 * bi21\n val bi24 = placeholder[BigInt](14) * bi21 * bi21\n val bi25 = bi21 * bi21\n val func26 = {(coll26: Coll[BigInt]) =>\n val bi28 = coll26(placeholder[Int](15))\n val bi29 = l20.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) * bi21 * bi21 - bi35 / placeholder[BigInt](18) * bi21 * bi21 * bi21 + bi36 / placeholder[BigInt](\n 19\n ) * bi21 * bi21 * bi21 * bi21 - bi36 * bi31 / bi24 * bi21 * bi21 * bi21\n }(coll26(placeholder[Int](20)) - bi21) * placeholder[BigInt](21) / bi29 + bi21 * bi30 * coll26(\n placeholder[Int](22)\n ) / bi29 + l20.toBigInt * bi30 / bi22 * bi28\n }\n val func27 = {(bi27: BigInt) =>\n val bi29 = bi27 * bi27\n val bi30 = bi29 * bi27\n bi21 - bi27 + bi29 / bi23 - bi30 / bi24 + bi30 * bi27 / placeholder[BigInt](23) * bi21 * bi21 * bi21\n }\n val l28 = placeholder[Long](24)\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 / bi21\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 = l28.toBigInt * bi21 / bi35 - bi36 * bi36 * bi36 * bi36 * bi36 * bi36 * bi36 * bi36 / bi25 * bi21 * bi21 * bi21 * bi21 * bi21\n val bi38 = if (l28.toBigInt > bi35) { l28.toBigInt / bi35 } else { bi35 / l28.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 = l20.toBigInt * bi39 / bi21\n val bi42 = placeholder[BigInt](41)\n val box43 = coll1(placeholder[Int](42))\n val coll44 = box43.R5[Coll[Long]].get\n val coll45 = box2.R7[Coll[Int]].get\n val i46 = coll45(placeholder[Int](43))\n val i47 = coll45(placeholder[Int](44))\n val bi48 = placeholder[BigInt](45)\n val bi49 = placeholder[BigInt](46) * bi21 / placeholder[BigInt](47)\n val coll50 = box43.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 - bi41\n val bi57 = max(bi55, bi48 * bi55)\n val bi58 = max(bi56, bi48 * bi56)\n (\n if (bi56 >= bi42) { bi21 - coll44(i46).toBigInt } else { coll44(i46).toBigInt } * bi53 * func27(bi40 * bi54 / bi21) / bi21 - if (bi55 >= bi42) {\n bi21 - coll44(i47).toBigInt\n } else { coll44(i47).toBigInt } * l28.toBigInt, (\n ((bi57 >= bi49) && (i47 == coll50.size - placeholder[Int](48))) || (\n (coll50(i47).toBigInt <= bi57) && (coll50(i47 + placeholder[Int](49)).toBigInt >= bi57)\n )\n ) && (\n ((bi58 >= bi49) && (i46 == coll50.size - placeholder[Int](50))) || (\n (coll50(i46).toBigInt <= bi58) && (coll50(i46 + placeholder[Int](51)).toBigInt >= bi58)\n )\n )\n )\n }\n val bi52 = coll37(placeholder[Int](52)).toBigInt\n val i53 = coll45(placeholder[Int](53))\n val i54 = coll45(placeholder[Int](54))\n val func55 = {(tuple55: (BigInt, BigInt)) =>\n val bi57 = tuple55._2\n val bi58 = tuple55._1\n val bi59 = func26(Coll[BigInt](bi57, bi52, bi39, bi58, bi40))\n val bi60 = bi59 - bi41\n val bi61 = max(bi59, bi48 * bi59)\n val bi62 = max(bi60, bi48 * bi60)\n (\n if (bi59 >= bi42) { coll44(i53).toBigInt } else { bi21 - coll44(i53).toBigInt } * l28.toBigInt - if (bi60 >= bi42) { coll44(i54).toBigInt } else {\n bi21 - coll44(i54).toBigInt\n } * bi57 * func27(bi40 * bi58 / bi21) / bi21, (\n ((bi61 >= bi49) && (i53 == coll50.size - placeholder[Int](55))) || (\n (coll50(i53).toBigInt <= bi61) && (coll50(i53 + placeholder[Int](56)).toBigInt >= bi61)\n )\n ) && (\n ((bi62 >= bi49) && (i54 == coll50.size - placeholder[Int](57))) || (\n (coll50(i54).toBigInt <= bi62) && (coll50(i54 + placeholder[Int](58)).toBigInt >= bi62)\n )\n )\n )\n }\n val bool56 = box43.tokens(placeholder[Int](59))._1 == placeholder[Coll[Byte]](60)\n if (bool35 && bool36) {(\n val l57 = coll37(placeholder[Int](61))\n val bi58 = coll29(placeholder[Int](62)).toBigInt - l57.toBigInt * bi21 / placeholder[Long](63).toBigInt\n val bi59 = coll29(placeholder[Int](64)).toBigInt\n val tuple60 = func51((bi58, bi59))\n val bi61 = coll29(placeholder[Int](65)).toBigInt\n val bi62 = tuple60._1 * bi61\n val l63 = coll29(placeholder[Int](66))\n val bi64 = l63 * placeholder[Long](67).toBigInt\n val bi65 = placeholder[Long](68) - tuple4._2.toBigInt\n val bi66 = placeholder[Long](69) - tuple6._2.toBigInt\n val bi67 = coll29(placeholder[Int](70)).toBigInt\n val tuple68 = func55((bi58, bi67))\n val bi69 = tuple68._1 * l63.toBigInt\n (\n (\n (\n (\n (\n (\n (\n ((bool15 && bool35) && (bi30 * l7.toBigInt - bi62 + bi64 / bi65 > bi30 * l16.toBigInt - bi62 + bi64 / bi66)) && (\n bi30 * l17.toBigInt - bi69 + bi61 / bi65 > bi30 * l18.toBigInt - bi69 + bi61 / bi66\n )\n ) && (coll31 == coll29)\n ) && (tuple68._2 && tuple60._2)\n ) && bool56\n ) && ((HEIGHT.toLong >= l57) && (l57 < HEIGHT + placeholder[Int](71).toLong))\n ) && func32((bi58, bi39))\n ) && func33((bi67, bi52))\n ) && func33((bi59, bi38))\n )} else { if (bool36) {(\n val l57 = l17 - l18\n val bool58 = l57 < placeholder[Long](72)\n val box59 = if (bool58) { INPUTS(placeholder[Int](73)) } else { OUTPUTS(placeholder[Int](74)) }\n val tuple60 = box59.tokens(placeholder[Int](75))\n val l61 = if (bool58) { l7 - l16 } else { l16 - l7 }\n val l62 = l61 / placeholder[Long](76)\n val l63 = coll37(placeholder[Int](77))\n val bi64 = box59.R5[Long].get - l63.toBigInt * bi21 / placeholder[Long](78).toBigInt\n val bi65 = box59.R4[Long].get.toBigInt\n val tuple66 = func55((bi64, bi65))\n val bi67 = tuple66._1\n val i68 = box59.R7[Coll[Int]].get(placeholder[Int](79)) + placeholder[Int](80)\n val l69 = coll29(i68)\n val l70 = coll31(i68)\n ((((((((((bool15 && ((tuple60._1 == coll14) && (tuple60._2 == placeholder[Long](81)))) && (blake2b256(box59.propositionBytes) == coll34)) && (box59.value >= l62 + placeholder[Long](82))) && (l61 % placeholder[Long](83) == placeholder[Long](84))) && bool56) && if (bool58) { placeholder[Long](85) * l57.toBigInt <= bi67 * l62.toBigInt } else { l57.toBigInt >= bi67 * l62.toBigInt }) && ((HEIGHT.toLong >= l63) && (l63 < HEIGHT + placeholder[Int](86).toLong))) && tuple66._2) && if (bool58) { l69 - l62 == l70 } else { l69 + l62 == l70 }) && func32((bi64, bi39))) && func33((bi65, bi52))\n )} else {(\n val l57 = l7 - l16\n val bool58 = l57 < placeholder[Long](87)\n val box59 = if (bool58) { INPUTS(placeholder[Int](88)) } else { OUTPUTS(placeholder[Int](89)) }\n val coll60 = box59.tokens\n val tuple61 = coll60(placeholder[Int](90))\n val tuple62 = coll60(placeholder[Int](91))\n val l63 = if (bool58) { l17 - l18 } else { l18 - l17 }\n val l64 = coll37(placeholder[Int](92))\n val bi65 = box59.R5[Long].get - l64.toBigInt * bi21 / placeholder[Long](93).toBigInt\n val bi66 = box59.R4[Long].get.toBigInt\n val tuple67 = func51((bi65, bi66))\n val bi68 = tuple67._1\n val i69 = box59.R7[Coll[Int]].get(placeholder[Int](94)) + placeholder[Int](95)\n val l70 = coll29(i69)\n val l71 = coll31(i69)\n ((((((((((bool15 && ((tuple61._1 == tuple19._1) && (tuple61._2 == placeholder[Long](96)))) && (blake2b256(box59.propositionBytes) == coll34)) && (box59.value >= placeholder[Long](97))) && ((tuple62._1 == coll10) && (tuple62._2 == l63))) && bool56) && if (bool58) { placeholder[Long](98) * l57.toBigInt <= bi68 * l63.toBigInt } else { l57.toBigInt >= bi68 * l63.toBigInt }) && ((HEIGHT.toLong >= l64) && (l64 < HEIGHT + placeholder[Int](99).toLong))) && tuple67._2) && if (bool58) { l70 - l63 == l71 } else { l70 + l63 == l71 }) && func32((bi65, bi39))) && func33((bi66, bi52))\n )} }\n )}\n )\n}",
"address": "4q2umEisuFvhYyaDq8LTA6W1U7UESH3t2GjSMp7av7R9k4D37kHm61A6pf9vLbetrFQVuUK4bdgMyWk8AfzXvKE9K88e8cFU8BFJphrugwB3GH7HkeFBfbsNpHYnDWjzF4phZAkXvAUkhf79uAGajxAgiy3HXDm39V7gkdTBo1sWAcUDeQhmHB9Gh5RE7RFwEnUiT8ZsAhu3EgHGArjRXiMEumDa21oSJSPNcF7Gw4uiWYwQ7LNiXNajnTe9yR6xn2C6oft75fupfWvzHe85TUsB8e13RZB9vzcktHYWG2fZSKCv5LmozmQTz8XiXLGdj3WVmhLa2JNtj2c4zd5TNe5j5UtdScL3JaLnAVuJQ4XoCd5hxhnGmpS3ZqLpYDCwrMfPVREPByNqik76PRdhqNd5MwbJTzCUv6nqWVvFeLsioLHexTY8mx6jdu1arWsYwLFyzfXL2Jh16hbSqjSBDY6dbSo8jFVLhE8HH5tkWikuyQEtwE4Z5AdH2GVEnpTwcwzQoSPsVZVLsJVGVRRHRd92zWCPgJLd5j5XAMXTDyiEzTPsRDxPsqx7WtnaeHxFjawYTYybdbw9k95KudsUJEewFbhy8sgct2mUPDeXa4FZp4REWGpkbCLQhhMkps9gmKUinDrtagzGdawCtuLwh5zibwbZbMTkv6eZBT6YaPCWVZjZ2xXyUenDmxQKPSeFLPLbV4p7ftQnYFjGmjfXRPQj7bnpex84m7a2W8xWJ9Kbom1HZuTwKdMbJL1XQX3LzxrJigTbejsS8UiXtfDbHZzbZGz48tkvM7LjxJUHXnXjEY2z26eRvDGdXBgcsyxQMCwccFSaKnzYYZGuSBzAHMhmMTjcMvwgS75HFE79GYgUa13uEbbx4mGm52Nn3Te2U77tPmpdd5791E9rDaCVZovbwd4BZJYXwMC7bCrZcWxLGBz9bNK9uxfQ9AdcPu2ri3VtSEpFU1A4p92DVMLnGyAkYXgjFmbipMiqcZs5r9uDnCoGYEZadxphi55qSKvFkuHtoFbZ5L4QXUzxgjFjBhXBxk2BXHoaDc59PDe36jR1Lamd5WprTxyN5Tj5iTZwfK9kmGCXYeMyGxoSakVd6XXyXWe5rbYtSk1ikdcDLzpTdiRZK1JH8DSMNJ4xQVCZFmnjiGFYbzjjiTFnyYU5czqjeFQWxMf384xYHjSzw79PfP3xosS5Y2AxFStbzFTTMHMrH4qnUQYx7PmnUK2aapypcCFqoyXPT63uqgEsbrUeWUMopy8ocaow44qvjddzKajww1Xm8uL49dBJkdh72LjMf3VopqSAUAt5XXPPLVpW8vPF52aoE9jFtmnnfxhYUm7wyrf2S7cdTJQ1wDtLwToCnTTyFj9YSUx5NtJZvWc5k9bH3nVNa7iefB18xYYbn6wd2QEaJXWeGZcMPdZKe32BKYUd9GCL23bTmVTs1NxhvvwKGJffeAU1YftcPYPSVxHdPZaU5SbHaxEzigTqcZPLhqoXboewpVn9XEB2vNPwKxvty55EZjGM5B6SYozkeMZqmkim6oUiK6wZxFmJxUuorEuFGPmSZBN1JqehgFKcaaMvnJyr8Q3cCkVZo6nuLZKEnHb1VNCSMvcVB7jgB86KviujSibirJswg3AKn3RxYHXtcQmX15Zc8Wp5gqeTRYBNQhXy32ccJ1bSXuLs9veK3RCCeE3Dy6zvZNUsuJ4je51SuaumGfJcaXS2KhBPkuouCV2A4y2i7qBEVEZwcqwk6aq722XdjaCktXNLeNFuxivtb82knhPdfyNNkQwxLFDZX7eJCdioRfZdhLdHDa3bJRAUo326qSH5AfFq8Cos2sDRNwa55NxRYqdq6bvMwvBUREfceqwWHUBeqgn6vSgs2hB7ZRDmuh1wndmkzf2KrKRaXMN8sZ29zUYKJQenobJig7KSZb54UVTEmPhGnk8yQVHeFCuZu6ARuHCEZqYznpbbRR7tZJDGCSdk4ngwEQSBdYWrRziYphw6bAgkDDLdzL6Tu23C1HaD5FiyV7uBjm3RtHVVcRP5jG3AWzEkVVmeypY5FwCZpbKwMqaVxWZHnhNa5GDvSV2WgrB4Qr3NRCrWWz2whZCzE8Ksekh9jVPCzM4p6pGkqcVm2L6fmQjCHAxVWAV9Fuf6h6EdbegsvPBwsNcbyGgbx9qzsJYbRXobbFRtwuTV9y4kEMnE7HCz9D7zPJUgho3nTgn9bHbf1XkzVjCpXDPWxkH1V5bRVsc723gW9hVVnJQFbu6acJfnwRAYTcXCjUETghbMsvnVQ7hY2qopSCPbdxm73RfhKERBLig7Pqq4DTkLiXg6FM9XYfQ3zoYeBU91LchsevhxJgy9JWRhBnY13GDQ9X4zFbmTm579wR5q3J7UvukcxfXfaHYaq3Ju19n2doK2smTbg4YoCM7xpoLiUCe1sjohYRSYfW7vjpkdBcxiYqaVPXqAvK5uieYv3KNanGpixT1Z12ih21WvHcBHSuf7U7dMLb6Gj3cKwVt6DTRAoHLkEBcQmpKgxx7MNavpxcMogxDns1mN49rkynrGBqW36Fdx5uGtfJCwhox3xpPNEeQ5oSxwJtFAkMcXD7ACCjGeSAqSM32mVm4TVBbMK6ey36kgj2rfcedWY99b5qDZ7RuwMeXJpLehX4ZgTaaU343QnpYsxFGnhxVd2ToRfNjfbYgh2XC2kXcQWqMQeuy3mQKmaus1yRKnz6mFApVQWrH3e6hyZQDZViXLh7B1fLUipMQGDrAqfyb1pNtGAHLsRz3GTCPZGYyMZAWmuQNA5i8nWWTVxUzvrNryTuLuyYMLc2mcBn5aJ4vkUf27oaPteQEQ5FpmgWoxNdFvBqNqBym2HuRgif1pnqNZR2c1PmMdj6zAe2GeZJAeHaFgt3wxigKZq5W1SAp4tmWMEthhfz4PxJfLwbSWFxJqZ8wBtzabJEQeXKJYqbedGEeCm3u71Z9LfhHA7cFLW6L8zYUAuX6gfYKUjubqqS8SNpyPEV16nfkrJTQXnqMjrZvPTK5fYMRSHsa8hUTAX25LVY9DfgJ3TiwppCtCJiojResjD1zy7sHG4cB8yrLmFMoAkL4zXnLXHf3MqxzTX6XxZ53MraCpfE8ifMgRNregbkv1QUGCg923owcE2YoQ9NfZM5dXgfpSp492Bo1TThiRMZfb5MYEvZHqGozY9bUFDDnys6jX2CSo3hcLXUEFD7B3zfj6G7VuxciYKqeGDzxrSV5rzZTzdKjoJF2MWmZvJ9jMsEdzx1sjrBzuNgtjw2mUPYKZszFLaJY4mXEowYcvSHMHSLkRRsjwvXLBX5FhRtm8KesxhcYp7tEDNhfaTDmtegqdLUDzT9UkmW5CoutEEUGBY1uWsFPzTiBpZdvKvaa6m3qY5v9BXsmcUexCJpduaQCHi1wRexdz5ZBAq4D3y6AsZW8x3NoVeau7dnnBbvXQ4aFYHZJYvhV1js6dh17aYEUtL1hBertNUEimGRhdiDbQrnxhBG39n1XFnMBcHfQMpsuBERxgSHvcgBeh9b5sxYafFK",
"assets": [
{
"tokenId": "d5ab247e7871ad6f6377663243bb404bcadfb99134510b5653d3004de693c60d",
"index": 0,
"amount": 1,
"name": "Test 2",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "aac4169b183c91b291234aace912d976f9d1ec6718ae9f182e1cb193c1b19484",
"index": 1,
"amount": 8999999999999501,
"name": "fruit",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1368440201d3a950c9900bb9f4138223e5ee77f598f36a425ca665a886bb2c48",
"index": 2,
"amount": 15,
"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]"
},
"R6": {
"serializedValue": "1104eade9b01b88d799eca7ace810f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1275829,992092,1004175,122983]"
},
"R7": {
"serializedValue": "1004120a8c018401",
"sigmaType": "Coll[SInt]",
"renderedValue": "[9,5,70,66]"
}
},
"spentTransactionId": "4ad66e6093bd8999f200ebc9c3384e3c6be22282631b5be357cec36bced00f83",
"mainChain": true
},
{
"boxId": "29c943d7cd2972874f0907409488621d40ea66925cbab6f585a2d39b1d0bdb8c",
"transactionId": "63c0cfcd94ee84d589fc86b3e75d71f27d4ff8c0038351cc1c8e41c7b87d09fb",
"blockId": "1eb46d9987f0957458d8bced416075ece7c67f0e04a5d0a2e4574c98197c5557",
"value": 1000000,
"index": 1,
"globalIndex": 40447980,
"creationHeight": 1275829,
"settlementHeight": 1275831,
"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": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0e2087c68a0811aa9d5727e7a5fa857ebcefdc74cb652ed62d6c7db2f526032967a8",
"sigmaType": "Coll[SByte]",
"renderedValue": "87c68a0811aa9d5727e7a5fa857ebcefdc74cb652ed62d6c7db2f526032967a8"
}
},
"spentTransactionId": "1612ce9f2cfd7db039411588e98ac929dae44125540a6d3e3c0c8e05576c84c9",
"mainChain": true
},
{
"boxId": "9449f473b0308b98b4dff7f67b3073b1ea3e89731ded38a9c02fc327780fa9f9",
"transactionId": "63c0cfcd94ee84d589fc86b3e75d71f27d4ff8c0038351cc1c8e41c7b87d09fb",
"blockId": "1eb46d9987f0957458d8bced416075ece7c67f0e04a5d0a2e4574c98197c5557",
"value": 1000000,
"index": 2,
"globalIndex": 40447981,
"creationHeight": 1275829,
"settlementHeight": 1275831,
"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": "63271ca68122ef6a059899a2c35cd409323185f384102494dc54ce3cd722dcf1",
"mainChain": true
}
],
"size": 3118,
"isUnconfirmed": false
}