How to resolve the algorithm Hamming numbers step by step in the Ada programming language

Published on 12 May 2024 09:40 PM

How to resolve the algorithm Hamming numbers step by step in the Ada programming language

Table of Contents

Problem Statement

Hamming numbers are numbers of the form   Hamming numbers   are also known as   ugly numbers   and also   5-smooth numbers   (numbers whose prime divisors are less or equal to 5).

Generate the sequence of Hamming numbers, in increasing order.   In particular:

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Hamming numbers step by step in the Ada programming language

Source code in the ada programming language

with Ada.Numerics.Generic_Elementary_Functions;
with Ada.Text_IO; use Ada.Text_IO;
with GNATCOLL.GMP.Integers;
with GNATCOLL.GMP.Lib;

procedure Hamming is

   type Log_Type is new Long_Long_Float;
   package Funcs is new Ada.Numerics.Generic_Elementary_Functions (Log_Type);

   type Factors_Array is array (Positive range <>) of Positive;

   generic
      Factors : Factors_Array := (2, 3, 5);
      --  The factors for smooth numbers. Hamming numbers are 5-smooth.
   package Smooth_Numbers is
      type Number is private;
      function Compute (Nth : Positive) return Number;
      function Image (N : Number) return String;

   private
      type Exponent_Type is new Natural;
      type Exponents_Array is array (Factors'Range) of Exponent_Type;
      --  Numbers are stored as the exponents of the prime factors.

      type Number is record
         Exponents : Exponents_Array;
         Log       : Log_Type;
         --  The log of the value, used to ease sorting.
      end record;

      function "=" (N1, N2 : Number) return Boolean
        is (for all F in Factors'Range => N1.Exponents (F) = N2.Exponents (F));
   end Smooth_Numbers;

   package body Smooth_Numbers is
      One : constant Number := (Exponents => (others => 0), Log => 0.0);
      Factors_Log : array (Factors'Range) of Log_Type;

      function Image (N : Number) return String is
         use GNATCOLL.GMP.Integers, GNATCOLL.GMP.Lib;
         R, Tmp : Big_Integer;
      begin
         Set (R, "1");
         for F in Factors'Range loop
            Set (Tmp, Factors (F)'Image);
            Raise_To_N (Tmp, GNATCOLL.GMP.Unsigned_Long (N.Exponents (F)));
            Multiply (R, Tmp);
         end loop;
         return Image (R);
      end Image;

      function Compute (Nth : Positive) return Number is
         Candidates : array (Factors'Range) of Number;

         Values     : array (1 .. Nth) of Number;
         --  Will result in Storage_Error for very large values of Nth

         Indices    : array (Factors'Range) of Natural :=
            (others => Values'First);
         Current    : Number;
         Tmp        : Number;
      begin
         for F in Factors'Range loop
            Factors_Log (F) := Funcs.Log (Log_Type (Factors (F)));
            Candidates (F) := One;
            Candidates (F).Exponents (F) := 1;
            Candidates (F).Log := Factors_Log (F);
         end loop;

         Values (1) := One;

         for Count in 2 .. Nth loop
            --  Find next value (the lowest of the candidates)
            Current := Candidates (Factors'First);
            for F in Factors'First + 1 .. Factors'Last loop
               if Candidates (F).Log < Current.Log then
                  Current := Candidates (F);
               end if;
            end loop;

            Values (Count) := Current;

            --  Update the candidates. There might be several candidates with
            --  the same value
            for F in Factors'Range loop
               if Candidates (F) = Current then
                  Indices (F) := Indices (F) + 1;

                  Tmp := Values (Indices (F));
                  Tmp.Exponents (F) := Tmp.Exponents (F) + 1;
                  Tmp.Log := Tmp.Log + Factors_Log (F);

                  Candidates (F) := Tmp;
               end if;
            end loop;
         end loop;

         return Values (Nth);
      end Compute;
   end Smooth_Numbers;

   package Hamming is new Smooth_Numbers ((2, 3, 5));

begin
   for N in 1 .. 20 loop
      Put (" " & Hamming.Image (Hamming.Compute (N)));
   end loop;
   New_Line;

   Put_Line (Hamming.Image (Hamming.Compute (1691)));
   Put_Line (Hamming.Image (Hamming.Compute (1_000_000)));
end Hamming;


  

You may also check:How to resolve the algorithm Loops/Downward for step by step in the Python programming language
You may also check:How to resolve the algorithm Substring step by step in the AArch64 Assembly programming language
You may also check:How to resolve the algorithm Nested function step by step in the Clojure programming language
You may also check:How to resolve the algorithm Random number generator (included) step by step in the Java programming language
You may also check:How to resolve the algorithm Sum multiples of 3 and 5 step by step in the J programming language