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--  This package provides a generator of static minimal perfect hash
--  functions. To understand what a perfect hash function is, we
--  define several notions. These definitions are inspired from the
--  following paper:

--    Zbigniew J. Czech, George Havas, and Bohdan S. Majewski ``An
--    Optimal Algorithm for Generating Minimal Perfect Hash Functions'',
--    Information Processing Letters, 43(1992) pp.257-264, Oct.1992

--  Let W be a set of m words. A hash function h is a function that
--  maps the set of words W into some given interval of integers
--  [0, k-1], where k is an integer, usually k >= m. h (w) where w
--  is a word computes an address or an integer from I for the
--  storage or the retrieval of that item. The storage area used to
--  store items is known as a hash table. Words for which the same
--  address is computed are called synonyms. Due to the existence
--  of synonyms a situation called collision may arise in which two
--  items w1 and w2 have the same address. Several schemes for
--  resolving known. A perfect hash function is an injection from
--  the word set W to the integer interval I with k >= m. If k = m,
--  then h is a minimal perfect hash function. A hash function is
--  order preserving if it puts entries into the hash table in a
--  prespecified order.

--  A minimal perfect hash function is defined by two properties:

--    Since no collisions occur each item can be retrieved from the
--    table in *one* probe. This represents the "perfect" property.

--    The hash table size corresponds to the exact size of W and
--    *no larger*. This represents the "minimal" property.

--  The functions generated by this package require the key set to
--  be known in advance (they are "static" hash functions).
--  The hash functions are also order preservering. If w2 is inserted
--  after w1 in the generator, then f (w1) < f (w2). These hashing
--  functions are convenient for use with realtime applications.

package GNAT.Perfect_Hash_Generators is

   Default_K_To_V : constant Float  := 2.05;
   --  Default ratio for the algorithm. When K is the number of keys,
   --  V = (K_To_V) * K is the size of the main table of the hash function.

   Default_Pkg_Name : constant String := "Perfect_Hash";
   --  Default package name in which the hash function is defined.

   Default_Position : constant String := "";
   --  The generator allows selection of the character positions used
   --  in the hash function. By default, all positions are selected.

   type Optimization is (Memory_Space, CPU_Time);
   Default_Optimization : constant Optimization := CPU_Time;
   --  Optimize either the memory space or the execution time.

   Verbose : Boolean := False;
   --  Comment required ???

   procedure Initialize
     (Seed   : Natural;
      K_To_V : Float        := Default_K_To_V;
      Optim  : Optimization := CPU_Time);
   --  Initialize the generator and its internal structures. Set the
   --  ratio of vertices over keys in the random graphs. This value
   --  has to be greater than 2.0 in order for the algorithm to succeed.

   procedure Finalize;
   --  Deallocate the internal structures.

   procedure Insert (Value : String);
   --  Insert a new key in the table.

   procedure Compute (Position : String := Default_Position);
   --  Compute the hash function. Position allows to define a
   --  selection of character positions used in the keywords hash
   --  function. Positions can be separated by commas and range like
   --  x-y may be used. Character '$' represents the final character
   --  of a key. With an empty position, the generator automatically
   --  produces positions to reduce the memory usage.

   procedure Produce (Pkg_Name  : String := Default_Pkg_Name);
   --  Generate the hash function package Pkg_Name. This package
   --  includes the minimal perfect Hash function.

   --  The routines and structures defined below allow producing the
   --  hash function using a different way from the procedure above.
   --  The procedure Define returns the lengths of an internal table
   --  and its item type size. The function Value returns the value of
   --  each item in the table.

   --  The hash function has the following form:

   --             h (w) = (g (f1 (w)) + g (f2 (w))) mod m

   --  G is a function based on a graph table [0,n-1] -> [0,m-1]. m is
   --  the number of keys. n is an internally computed value and it
   --  can be obtained as the length of vector G.

   --  F1 and F2 are two functions based on two function tables T1 and
   --  T2. Their definition depends on the chosen optimization mode.

   --  Only some character positions are used in the keys because they
   --  are significant. They are listed in a character position table
   --  (P in the pseudo-code below). For instance, in {"jan", "feb",
   --  "mar", "apr", "jun", "jul", "aug", "sep", "oct", "nov", "dec"},
   --  only positions 2 and 3 are significant (the first character can
   --  be ignored). In this example, P = {2, 3}

   --  When Optimization is CPU_Time, the first dimension of T1 and T2
   --  corresponds to the character position in the key and the second
   --  to the character set. As all the character set is not used, we
   --  define a used character table which associates a distinct index
   --  to each used character (unused characters are mapped to
   --  zero). In this case, the second dimension of T1 and T2 is
   --  reduced to the used character set (C in the pseudo-code
   --  below). Therefore, the hash function has the following:

   --    function Hash (S : String) return Natural is
   --       F      : constant Natural := S'First - 1;
   --       L      : constant Natural := S'Length;
   --       F1, F2 : Natural := 0;
   --       J      : <t>;

   --    begin
   --       for K in P'Range loop
   --          exit when L < P (K);
   --          J  := C (S (P (K) + F));
   --          F1 := (F1 + Natural (T1 (K, J))) mod <n>;
   --          F2 := (F2 + Natural (T2 (K, J))) mod <n>;
   --       end loop;

   --       return (Natural (G (F1)) + Natural (G (F2))) mod <m>;
   --    end Hash;

   --  When Optimization is Memory_Space, the first dimension of T1
   --  and T2 corresponds to the character position in the key and the
   --  second dimension is ignored. T1 and T2 are no longer matrices
   --  but vectors. Therefore, the used character table is not
   --  available. The hash function has the following form:

   --     function Hash (S : String) return Natural is
   --        F      : constant Natural := S'First - 1;
   --        L      : constant Natural := S'Length;
   --        F1, F2 : Natural := 0;
   --        J      : <t>;

   --     begin
   --        for K in P'Range loop
   --           exit when L < P (K);
   --           J  := Character'Pos (S (P (K) + F));
   --           F1 := (F1 + Natural (T1 (K) * J)) mod <n>;
   --           F2 := (F2 + Natural (T2 (K) * J)) mod <n>;
   --        end loop;

   --        return (Natural (G (F1)) + Natural (G (F2))) mod <m>;
   --     end Hash;

   type Table_Name is
     (Character_Position,
      Used_Character_Set,
      Function_Table_1,
      Function_Table_2,
      Graph_Table);

   procedure Define
     (Name      : Table_Name;
      Item_Size : out Natural;
      Length_1  : out Natural;
      Length_2  : out Natural);
   --  Return the definition of the table Name. This includes the
   --  length of dimensions 1 and 2 and the size of an unsigned
   --  integer item. When Length_2 is zero, the table has only one
   --  dimension. All the ranges start from zero.

   function Value
     (Name : Table_Name;
      J    : Natural;
      K    : Natural := 0)
      return Natural;
   --  Return the value of the component (I, J) of the table
   --  Name. When the table has only one dimension, J is ignored.

end GNAT.Perfect_Hash_Generators;