gcc/ada/g-pehage.ads

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   2 --                                                                          --
   3 --                         GNAT COMPILER COMPONENTS                         --
   4 --                                                                          --
   5 --          G N A T . P E R F E C T _ H A S H _ G E N E R A T O R S         --
   6 --                                                                          --
   7 --                                 S p e c                                  --
   8 --                                                                          --
   9 --                     Copyright (C) 2002-2005, AdaCore                     --
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  23 -- unit, or you link  this unit with other files  to produce an executable, --
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  27 -- covered by the  GNU Public License.                                      --
  28 --                                                                          --
  29 -- GNAT was originally developed  by the GNAT team at  New York University. --
  30 -- Extensive contributions were provided by Ada Core Technologies Inc.      --
  31 --                                                                          --
  32 ------------------------------------------------------------------------------
  33
  34 --  This package provides a generator of static minimal perfect hash functions.
  35 --  To understand what a perfect hash function is, we define several notions.
  36 --  These definitions are inspired from the following paper:
  37
  38 --    Zbigniew J. Czech, George Havas, and Bohdan S. Majewski ``An Optimal
  39 --    Algorithm for Generating Minimal Perfect Hash Functions'', Information
  40 --    Processing Letters, 43(1992) pp.257-264, Oct.1992
  41
  42 --  Let W be a set of m words. A hash function h is a function that maps the
  43 --  set of words W into some given interval of integers [0, k-1], where k is an
  44 --  integer, usually k >= m. h (w) where is a word computes an address or an
  45 --  integer from I for the storage or the retrieval of that item. The storage
  46 --  area used to store items is known as a hash table. Words for which the same
  47 --  address is computed are called synonyms. Due to the existence of synonyms a
  48 --  situation called collision may arise in which two items w1 and w2 have the
  49 --  same address. Several schemes for resolving known. A perfect hash function
  50 --  is an injection from the word set W to the integer interval I with k >= m.
  51 --  If k = m, then h is a minimal perfect hash function. A hash function is
  52 --  order preserving if it puts entries into the hash table in prespecified
  53 --  order.
  54
  55 --  A minimal perfect hash function is defined by two properties:
  56
  57 --    Since no collisions occur each item can be retrieved from the table in
  58 --    *one* probe. This represents the "perfect" property.
  59
  60 --    The hash table size corresponds to the exact size of W and *no larger*.
  61 --    This represents the "minimal" property.
  62
  63 --  The functions generated by this package require the key set to be known in
  64 --  advance (they are "static" hash functions). The hash functions are also
  65 --  order preservering. If w2 is inserted after w1 in the generator, then (w1)
  66 --  < f (w2). These hashing functions are convenient for use with realtime
  67 --  applications.
  68
  69 package GNAT.Perfect_Hash_Generators is
  70
  71    Default_K_To_V : constant Float  := 2.05;
  72    --  Default ratio for the algorithm. When K is the number of keys, V =
  73    --  (K_To_V) * K is the size of the main table of the hash function. To
  74    --  converge, the algorithm requires K_To_V to be stricly greater than 2.0.
  75
  76    Default_Pkg_Name : constant String := "Perfect_Hash";
  77    --  Default package name in which the hash function is defined
  78
  79    Default_Position : constant String := "";
  80    --  The generator allows selection of the character positions used in the
  81    --  hash function. By default, all positions are selected.
  82
  83    Default_Tries : constant Positive := 20;
  84    --  This algorithm may not succeed to find a possible mapping on the first
  85    --  try and may have to iterate a number of times. This constant bounds the
  86    --  number of tries.
  87
  88    type Optimization is (Memory_Space, CPU_Time);
  89    Default_Optimization : constant Optimization := CPU_Time;
  90    --  Optimize either the memory space or the execution time
  91
  92    Verbose : Boolean := False;
  93    --  Output the status of the algorithm. For instance, the tables, the random
  94    --  graph (edges, vertices) and selected char positions are output between
  95    --  two iterations.
  96
  97    procedure Initialize
  98      (Seed   : Natural;
  99       K_To_V : Float        := Default_K_To_V;
 100       Optim  : Optimization := CPU_Time;
 101       Tries  : Positive     := Default_Tries);
 102    --  Initialize the generator and its internal structures. Set the ratio of
 103    --  vertices over keys in the random graphs. This value has to be greater
 104    --  than 2.0 in order for the algorithm to succeed. The key set is not
 105    --  modified (in particular when it is already set). For instance, it is
 106    --  possible to run several times the generator with different settings on
 107    --  the same key set.
 108
 109    procedure Finalize;
 110    --  Deallocate the internal structures and the key table
 111
 112    procedure Insert (Value : String);
 113    --  Insert a new key in the table
 114
 115    Too_Many_Tries : exception;
 116    --  Raised after Tries unsuccessfull runs
 117
 118    procedure Compute (Position : String := Default_Position);
 119    --  Compute the hash function. Position allows to define selection of
 120    --  character positions used in the keywords hash function. Positions can be
 121    --  separated by commas and range like x-y may be used. Character '$'
 122    --  represents the final character of a key. With an empty position, the
 123    --  generator automatically produces positions to reduce the memory usage.
 124    --  Raise Too_Many_Tries in case that the algorithm does not succeed in less
 125    --  than Tries attempts (see Initialize).
 126
 127    procedure Produce (Pkg_Name  : String := Default_Pkg_Name);
 128    --  Generate the hash function package Pkg_Name. This package includes the
 129    --  minimal perfect Hash function.
 130
 131    --  The routines and structures defined below allow producing the hash
 132    --  function using a different way from the procedure above. The procedure
 133    --  Define returns the lengths of an internal table and its item type size.
 134    --  The function Value returns the value of each item in the table.
 135
 136    --  The hash function has the following form:
 137
 138    --             h (w) = (g (f1 (w)) + g (f2 (w))) mod m
 139
 140    --  G is a function based on a graph table [0,n-1] -> [0,m-1]. m is the
 141    --  number of keys. n is an internally computed value and it can be obtained
 142    --  as the length of vector G.
 143
 144    --  F1 and F2 are two functions based on two function tables T1 and T2.
 145    --  Their definition depends on the chosen optimization mode.
 146
 147    --  Only some character positions are used in the keys because they are
 148    --  significant. They are listed in a character position table (P in the
 149    --  pseudo-code below). For instance, in {"jan", "feb", "mar", "apr", "jun",
 150    --  "jul", "aug", "sep", "oct", "nov", "dec"}, only positions 2 and 3 are
 151    --  significant (the first character can be ignored). In this example, P =
 152    --  {2, 3}
 153
 154    --  When Optimization is CPU_Time, the first dimension of T1 and T2
 155    --  corresponds to the character position in the key and the second to the
 156    --  character set. As all the character set is not used, we define a used
 157    --  character table which associates a distinct index to each used character
 158    --  (unused characters are mapped to zero). In this case, the second
 159    --  dimension of T1 and T2 is reduced to the used character set (C in the
 160    --  pseudo-code below). Therefore, the hash function has the following:
 161
 162    --    function Hash (S : String) return Natural is
 163    --       F      : constant Natural := S'First - 1;
 164    --       L      : constant Natural := S'Length;
 165    --       F1, F2 : Natural := 0;
 166    --       J      : <t>;
 167
 168    --    begin
 169    --       for K in P'Range loop
 170    --          exit when L < P (K);
 171    --          J  := C (S (P (K) + F));
 172    --          F1 := (F1 + Natural (T1 (K, J))) mod <n>;
 173    --          F2 := (F2 + Natural (T2 (K, J))) mod <n>;
 174    --       end loop;
 175
 176    --       return (Natural (G (F1)) + Natural (G (F2))) mod <m>;
 177    --    end Hash;
 178
 179    --  When Optimization is Memory_Space, the first dimension of T1 and T2
 180    --  corresponds to the character position in the key and the second
 181    --  dimension is ignored. T1 and T2 are no longer matrices but vectors.
 182    --  Therefore, the used character table is not available. The hash function
 183    --  has the following form:
 184
 185    --     function Hash (S : String) return Natural is
 186    --        F      : constant Natural := S'First - 1;
 187    --        L      : constant Natural := S'Length;
 188    --        F1, F2 : Natural := 0;
 189    --        J      : <t>;
 190
 191    --     begin
 192    --        for K in P'Range loop
 193    --           exit when L < P (K);
 194    --           J  := Character'Pos (S (P (K) + F));
 195    --           F1 := (F1 + Natural (T1 (K) * J)) mod <n>;
 196    --           F2 := (F2 + Natural (T2 (K) * J)) mod <n>;
 197    --        end loop;
 198
 199    --        return (Natural (G (F1)) + Natural (G (F2))) mod <m>;
 200    --     end Hash;
 201
 202    type Table_Name is
 203      (Character_Position,
 204       Used_Character_Set,
 205       Function_Table_1,
 206       Function_Table_2,
 207       Graph_Table);
 208
 209    procedure Define
 210      (Name      : Table_Name;
 211       Item_Size : out Natural;
 212       Length_1  : out Natural;
 213       Length_2  : out Natural);
 214    --  Return the definition of the table Name. This includes the length of
 215    --  dimensions 1 and 2 and the size of an unsigned integer item. When
 216    --  Length_2 is zero, the table has only one dimension. All the ranges start
 217    --  from zero.
 218
 219    function Value
 220      (Name : Table_Name;
 221       J    : Natural;
 222       K    : Natural := 0) return Natural;
 223    --  Return the value of the component (I, J) of the table Name. When the
 224    --  table has only one dimension, J is ignored.
 225
 226 end GNAT.Perfect_Hash_Generators;