templates5/bfc.scala
changeset 285 bd9d142d2cd8
parent 233 38ea26f227af
child 333 24bc76d97db2
equal deleted inserted replaced
284:9a04eb6a2291 285:bd9d142d2cd8
     1 // Part 2 about a "Compiler" for the Brainf*** language
     1 // Core Part about a "Compiler" for the Brainf*** language
     2 //======================================================
     2 //======================================================
       
     3 
       
     4 
       
     5 object CW10b {
       
     6 
     3 
     7 
     4 // !!! Copy any function you need from file bf.scala !!!
     8 // !!! Copy any function you need from file bf.scala !!!
     5 //
     9 //
     6 // If you need any auxiliary function, feel free to 
    10 // If you need any auxiliary function, feel free to 
     7 // implement it, but do not make any changes to the
    11 // implement it, but do not make any changes to the
     8 // templates below.
    12 // templates below.
     9 
    13 
       
    14 
       
    15 // DEBUGGING INFORMATION FOR COMPILERS!!!
       
    16 //
       
    17 // Compiler, even real ones, are fiendishly difficult to get
       
    18 // to produce correct code. One way to debug them is to run
       
    19 // example programs ``unoptimised''; and then optimised. Does
       
    20 // the optimised version still produce the same result?
       
    21 
       
    22 
       
    23 // for timing purposes
    10 def time_needed[T](n: Int, code: => T) = {
    24 def time_needed[T](n: Int, code: => T) = {
    11   val start = System.nanoTime()
    25   val start = System.nanoTime()
    12   for (i <- 0 until n) code
    26   for (i <- 0 until n) code
    13   val end = System.nanoTime()
    27   val end = System.nanoTime()
    14   (end - start)/(n * 1.0e9)
    28   (end - start)/(n * 1.0e9)
    15 }
    29 }
    16 
    30 
       
    31 
    17 type Mem = Map[Int, Int]
    32 type Mem = Map[Int, Int]
    18 
    33 
    19 import io.Source
    34 import io.Source
    20 import scala.util._
    35 import scala.util._
    21 
    36 
    22 // !! COPY from your bf.scala !!
       
    23 
    37 
    24 // def load_bff(name: String) : String = ...
    38 // TASKS
    25   
    39 //=======
    26 // def sread(mem: Mem, mp: Int) : Int = ...
       
    27 
       
    28 // def write(mem: Mem, mp: Int, v: Int) : Mem = ...
       
    29 
       
    30 // def jumpRight(prog: String, pc: Int, level: Int) : Int = ...
       
    31 
       
    32 // def jumpLeft(prog: String, pc: Int, level: Int) : Int = ...
       
    33 
       
    34 // def compute(prog: String, pc: Int, mp: Int, mem: Mem) : Mem = ...
       
    35 
       
    36 // def run(prog: String, m: Mem = Map()) = 
       
    37 
       
    38 // The baseline to what we can compare our "compiler"
       
    39 // implemented below. It should require something like 
       
    40 // 60 seconds for the calculation on my laptop
       
    41 //
       
    42 //time_needed(1, run(load_bff("benchmark.bf")))
       
    43 
       
    44 
       
    45 // DEBUGGING INFORMATION!!!
       
    46 //
       
    47 // Compiler, even real ones, are fiendishly difficult to get
       
    48 // to produce correct code. The point is that for example for
       
    49 // the Sierpinski program, they need to still generate code
       
    50 // that displays such a triangle. If yes, then one usually
       
    51 // can take comfort that all is well. If not, then something
       
    52 // went wrong during the optimisations.
       
    53 
       
    54 
       
    55 // ADVANCED TASKS
       
    56 //================
       
    57 
    40 
    58 // (5) Write a function jtable that precomputes the "jump
    41 // (5) Write a function jtable that precomputes the "jump
    59 //     table" for a bf-program. This function takes a bf-program 
    42 //     table" for a bf-program. This function takes a bf-program 
    60 //     as an argument and Returns a Map[Int, Int]. The 
    43 //     as an argument and Returns a Map[Int, Int]. The 
    61 //     purpose of this map is to record the information
    44 //     purpose of this map is to record the information about
    62 //     that given on the position pc is a '[' or a ']',
    45 //     pc positions where '[' or a ']' are stored. The information
    63 //     then to which pc-position do we need to jump next?
    46 //     is to which pc-position do we need to jump next?
    64 // 
    47 // 
    65 //     For example for the program
    48 //     For example for the program
    66 //    
    49 //    
    67 //       "+++++[->++++++++++<]>--<+++[->>++++++++++<<]>>++<<----------[+>.>.<+<]"
    50 //       "+++++[->++++++++++<]>--<+++[->>++++++++++<<]>>++<<----------[+>.>.<+<]"
    68 //
    51 //
    77 //     on. The idea is to not calculate this information each time
    60 //     on. The idea is to not calculate this information each time
    78 //     we hit a bracket, but just look up this information in the 
    61 //     we hit a bracket, but just look up this information in the 
    79 //     jtable. You can use the jumpLeft and jumpRight functions
    62 //     jtable. You can use the jumpLeft and jumpRight functions
    80 //     from Part 1 for calculating the jtable.
    63 //     from Part 1 for calculating the jtable.
    81 //
    64 //
    82 //     Then adapt the compute and run functions from Part 1 in order 
    65 //     Then adapt the compute and run functions from Part 1 
    83 //     to take advantage of the information stored in the jtable. 
    66 //     in order to take advantage of the information stored in the jtable. 
    84 //     This means whenever jumpLeft and jumpRight was called previously,
    67 //     This means whenever jumpLeft and jumpRight was called previously,
    85 //     you should look up the jump address in the jtable.
    68 //     you should immediately look up the jump address in the jtable.
    86  
    69  
    87 
    70 
    88 //def jtable(pg: String) : Map[Int, Int] = ...
    71 //def jtable(pg: String) : Map[Int, Int] = ...
    89 
    72 
       
    73 
    90 // testcase
    74 // testcase
       
    75 //
    91 // jtable("""+++++[->++++++++++<]>--<+++[->>++++++++++<<]>>++<<----------[+>.>.<+<]""")
    76 // jtable("""+++++[->++++++++++<]>--<+++[->>++++++++++<<]>>++<<----------[+>.>.<+<]""")
    92 // =>  Map(69 -> 61, 5 -> 20, 60 -> 70, 27 -> 44, 43 -> 28, 19 -> 6)
    77 // =>  Map(69 -> 61, 5 -> 20, 60 -> 70, 27 -> 44, 43 -> 28, 19 -> 6)
    93 
    78 
    94 
    79 
    95 //def compute2(pg: String, tb: Map[Int, Int], pc: Int, mp: Int, mem: Mem) : Mem = ...
    80 //def compute2(pg: String, tb: Map[Int, Int], pc: Int, mp: Int, mem: Mem) : Mem = ...
    96 
       
    97 //def run2(pg: String, m: Mem = Map()) = ... 
    81 //def run2(pg: String, m: Mem = Map()) = ... 
    98 
    82 
    99 
    83 
   100 //testcase
    84 // testcases
   101 //time_needed(1, run2(load_bff("benchmark.bf")))
    85 // time_needed(1, run2(load_bff("benchmark.bf")))
       
    86 // time_needed(1, run2(load_bff("seirpinski.bf")))
   102 
    87 
   103 
    88 
   104 
    89 
   105 // (6) Write a function optimise which deletes "dead code" (everything
    90 // (6) Write a function optimise which deletes "dead code" (everything
   106 // that is not a bf-command) and also replaces substrings of the form
    91 // that is not a bf-command) and also replaces substrings of the form
   122 
   107 
   123 //def run3(pg: String, m: Mem = Map()) = ...
   108 //def run3(pg: String, m: Mem = Map()) = ...
   124 
   109 
   125 
   110 
   126 // testcases
   111 // testcases
   127 
   112 //
   128 //optimise(load_bff("benchmark.bf"))          // should have inserted 0's
   113 // optimise(load_bff("benchmark.bf"))          // should have inserted 0's
   129 //optimise(load_bff("mandelbrot.bf")).length  // => 11203
   114 // optimise(load_bff("mandelbrot.bf")).length  // => 11203
   130  
   115 // 
   131 //time_needed(1, run3(load_bff("benchmark.bf")))
   116 // time_needed(1, run3(load_bff("benchmark.bf")))
   132 
   117 
   133 
   118 
   134 
   119 
   135 // (7)  Write a function combine which replaces sequences
   120 // (7)  Write a function combine which replaces sequences
   136 // of repeated increment and decrement commands by appropriate
   121 // of repeated increment and decrement commands by appropriate
   154 //  appropriately with such two-character commands.
   139 //  appropriately with such two-character commands.
   155 
   140 
   156 
   141 
   157 //def combine(s: String) : String = ...
   142 //def combine(s: String) : String = ...
   158 
   143 
       
   144 // testcase
       
   145 // combine(load_bff("benchmark.bf"))
   159 
   146 
   160 // testcase
       
   161 //combine(load_bff("benchmark.bf"))
       
   162 
   147 
   163 //def compute4(pg: String, tb: Map[Int, Int], pc: Int, mp: Int, mem: Mem) : Mem = ...
   148 //def compute4(pg: String, tb: Map[Int, Int], pc: Int, mp: Int, mem: Mem) : Mem = ...
   164 
   149 
       
   150 
   165 // should call first optimise and then combine on the input string
   151 // should call first optimise and then combine on the input string
       
   152 //
   166 //def run4(pg: String, m: Mem = Map()) = ...
   153 //def run4(pg: String, m: Mem = Map()) = ...
   167 
   154 
   168 
   155 
   169 // testcases
   156 // testcases
   170 //combine(optimise(load_bff("benchmark.bf"))) // => """>A+B[<A+M>A-A]<A[[....."""
   157 // combine(optimise(load_bff("benchmark.bf"))) // => """>A+B[<A+M>A-A]<A[[....."""
   171 
   158 
   172 //time_needed(1, run4(load_bff("benchmark.bf")))
   159 // testcases (they should now run much faster)
   173 
   160 // time_needed(1, run4(load_bff("benchmark.bf")))
   174 //time_needed(1, run(load_bff("sierpinski.bf"))) 
   161 // time_needed(1, run4(load_bff("sierpinski.bf"))) 
   175 //time_needed(1, run4(load_bff("sierpinski.bf"))) 
   162 // time_needed(1, run4(load_bff("mandelbrot.bf")))
   176 
       
   177 //time_needed(1, run4(load_bff("mandelbrot.bf")))
       
   178 
   163 
   179 
   164 
       
   165 }