cxg2014.a

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-- CXG2014.A----                             Grant of Unlimited Rights----     Under contracts F33600-87-D-0337, F33600-84-D-0280, MDA903-79-C-0687,--     F08630-91-C-0015, and DCA100-97-D-0025, the U.S. Government obtained --     unlimited rights in the software and documentation contained herein.--     Unlimited rights are defined in DFAR 252.227-7013(a)(19).  By making --     this public release, the Government intends to confer upon all --     recipients unlimited rights  equal to those held by the Government.  --     These rights include rights to use, duplicate, release or disclose the --     released technical data and computer software in whole or in part, in --     any manner and for any purpose whatsoever, and to have or permit others --     to do so.----                                    DISCLAIMER----     ALL MATERIALS OR INFORMATION HEREIN RELEASED, MADE AVAILABLE OR--     DISCLOSED ARE AS IS.  THE GOVERNMENT MAKES NO EXPRESS OR IMPLIED --     WARRANTY AS TO ANY MATTER WHATSOEVER, INCLUDING THE CONDITIONS OF THE--     SOFTWARE, DOCUMENTATION OR OTHER INFORMATION RELEASED, MADE AVAILABLE --     OR DISCLOSED, OR THE OWNERSHIP, MERCHANTABILITY, OR FITNESS FOR A--     PARTICULAR PURPOSE OF SAID MATERIAL.--*---- OBJECTIVE:--      Check that the SINH and COSH functions return--      results that are within the error bound allowed.---- TEST DESCRIPTION:--      This test consists of a generic package that is --      instantiated to check both Float and a long float type.--      The test for each floating point type is divided into--      several parts:--         Special value checks where the result is a known constant.--         Checks that use an identity for determining the result.--         Exception checks.---- SPECIAL REQUIREMENTS--      The Strict Mode for the numerical accuracy must be--      selected.  The method by which this mode is selected--      is implementation dependent.---- APPLICABILITY CRITERIA:--      This test applies only to implementations supporting the--      Numerics Annex.--      This test only applies to the Strict Mode for numerical--      accuracy.------ CHANGE HISTORY:--      15 Mar 96   SAIC    Initial release for 2.1--      03 Jun 98   EDS     In line 80, change 1000 to 1024, making it a model--                          number.  Add Taylor Series terms in line 281.--      15 Feb 99   RLB     Repaired Subtraction_Error_Test to avoid precision--                          problems.--!---- References:---- Software Manual for the Elementary Functions-- William J. Cody, Jr. and William Waite-- Prentice-Hall, 1980---- CRC Standard Mathematical Tables-- 23rd Edition ---- Implementation and Testing of Function Software-- W. J. Cody-- Problems and Methodologies in Mathematical Software Production-- editors P. C. Messina and A. Murli-- Lecture Notes in Computer Science   Volume 142-- Springer Verlag, 1982--with System;with Report;with Ada.Numerics.Generic_Elementary_Functions;procedure CXG2014 is   Verbose : constant Boolean := False;   Max_Samples : constant := 1024;   E  : constant := Ada.Numerics.E;   Cosh1 : constant := (E + 1.0 / E) / 2.0;    -- cosh(1.0)    generic      type Real is digits <>;   package Generic_Check is      procedure Do_Test;   end Generic_Check;   package body Generic_Check is      package Elementary_Functions is new            Ada.Numerics.Generic_Elementary_Functions (Real);      function Sinh (X : Real) return Real renames           Elementary_Functions.Sinh;      function Cosh (X : Real) return Real renames           Elementary_Functions.Cosh;      function Log (X : Real) return Real renames           Elementary_Functions.Log;      -- flag used to terminate some tests early      Accuracy_Error_Reported : Boolean := False;      procedure Check (Actual, Expected : Real;                       Test_Name : String;                       MRE : Real) is         Max_Error : Real;         Rel_Error : Real;         Abs_Error : Real;      begin         -- In the case where the expected result is very small or 0         -- we compute the maximum error as a multiple of Model_Small instead         -- of Model_Epsilon and Expected.         Rel_Error := MRE * abs Expected * Real'Model_Epsilon;         Abs_Error := MRE * Real'Model_Small;         if Rel_Error > Abs_Error then            Max_Error := Rel_Error;         else            Max_Error := Abs_Error;         end if;          if abs (Actual - Expected) > Max_Error then            Accuracy_Error_Reported := True;            Report.Failed (Test_Name &                            " actual: " & Real'Image (Actual) &                           " expected: " & Real'Image (Expected) &                           " difference: " & Real'Image (Actual - Expected) &                           " max err:" & Real'Image (Max_Error) );         elsif Verbose then	    if Actual = Expected then	       Report.Comment (Test_Name & "  exact result");	    else	       Report.Comment (Test_Name & "  passed");	    end if;         end if;      end Check;      procedure Special_Value_Test is         -- In the following tests the expected result is accurate         -- to the machine precision so the minimum guaranteed error         -- bound can be used.         Minimum_Error : constant := 8.0;      begin         Check (Sinh (1.0),                (E - 1.0 / E) / 2.0,                  "sinh(1)",                Minimum_Error);         Check (Cosh (1.0),                Cosh1,                "cosh(1)",                Minimum_Error);         Check (Sinh (2.0),                (E * E - (1.0 / (E * E))) / 2.0,                "sinh(2)",                Minimum_Error);         Check (Cosh (2.0),                (E * E + (1.0 / (E * E))) / 2.0,                "cosh(2)",                Minimum_Error);         Check (Sinh (-1.0),                (1.0 / E - E) / 2.0,                  "sinh(-1)",                Minimum_Error);      exception         when Constraint_Error =>             Report.Failed ("Constraint_Error raised in special value test");         when others =>            Report.Failed ("exception in special value test");      end Special_Value_Test;      procedure Exact_Result_Test is         No_Error : constant := 0.0;      begin         -- A.5.1(38);6.0         Check (Sinh (0.0),  0.0, "sinh(0)", No_Error);         Check (Cosh (0.0),  1.0, "cosh(0)", No_Error);      exception         when Constraint_Error =>             Report.Failed ("Constraint_Error raised in Exact_Result Test");         when others =>            Report.Failed ("exception in Exact_Result Test");      end Exact_Result_Test;      procedure Identity_1_Test is      -- For the Sinh test use the identity      --    2 * Sinh(x) * Cosh(1) = Sinh(x+1) + Sinh (x-1)      -- which is transformed to      --    Sinh(x) = ((Sinh(x+1) + Sinh(x-1)) * C      -- where C = 1/(2*Cosh(1))      --      -- For the Cosh test use the identity      --    2 * Cosh(x) * Cosh(1) = Cosh(x+1) + Cosh(x-1)      -- which is transformed to      --    Cosh(x) = C * (Cosh(x+1) + Cosh(x-1))      -- where C is the same as above      --      -- see Cody pg 230-231 for details on the error analysis.      -- The net result is a relative error bound of 16 * Model_Epsilon.         A : constant := 3.0;            -- large upper bound but not so large as to cause Cosh(B)            -- to overflow         B : constant Real := Log(Real'Safe_Last) - 2.0;         X_Minus_1, X, X_Plus_1 : Real;          Actual1, Actual2 : Real;         C : constant := 1.0 / (2.0 * Cosh1);      begin         Accuracy_Error_Reported := False;  -- reset         for I in 1..Max_Samples loop            -- make sure there is no error in x-1, x, and x+1            X_Plus_1 :=  (B - A) * Real (I) / Real (Max_Samples) + A;            X_Plus_1  := Real'Machine (X_Plus_1);            X         := Real'Machine (X_Plus_1 - 1.0);            X_Minus_1 := Real'Machine (X - 1.0);                       -- Sinh(x) = ((Sinh(x+1) + Sinh(x-1)) * C            Actual1 := Sinh(X);            Actual2 := C * (Sinh(X_Plus_1) + Sinh(X_Minus_1));             Check (Actual1, Actual2,                   "Identity_1_Test " & Integer'Image (I) & ": sinh(" &		   Real'Image (X) & ") ",                   16.0);            -- Cosh(x) = C * (Cosh(x+1) + Cosh(x-1))            Actual1 := Cosh (X);            Actual2 := C * (Cosh(X_Plus_1) + Cosh (X_Minus_1));            Check (Actual1, Actual2,                   "Identity_1_Test " & Integer'Image (I) & ": cosh(" &		   Real'Image (X) & ") ",                   16.0);            if Accuracy_Error_Reported then              -- only report the first error in this test in order to keep              -- lots of failures from producing a huge error log              return;            end if;         end loop;      exception         when Constraint_Error =>             Report.Failed                ("Constraint_Error raised in Identity_1_Test" &                " for X=" & Real'Image (X));         when others =>            Report.Failed ("exception in Identity_1_Test" &                " for X=" & Real'Image (X));      end Identity_1_Test;      procedure Subtraction_Error_Test is      -- This test detects the error resulting from subtraction if      -- the obvious algorithm was used for computing sinh.  That is,      -- it it is computed as (e**x - e**-x)/2.      -- We check the result by using a Taylor series expansion that      -- will produce a result accurate to the machine precision for      -- the range under test.      --      -- The maximum relative error bound for this test is       --  8 for the sinh operation and 7 for the Taylor series      -- for a total of 15 * Model_Epsilon         A : constant := 0.0;         B : constant := 0.5;         X : Real;         X_Squared : Real;         Actual, Expected : Real;      begin         if Real'digits > 15 then             return; -- The approximation below is not accurate beyond                     -- 15 digits. Adding more terms makes the error                     -- larger, so it makes the test worse for more normal                     -- values. Thus, we skip this subtest for larger than                     -- 15 digits.         end if;         Accuracy_Error_Reported := False;  -- reset         for I in 1..Max_Samples loop            X :=  (B - A) * Real (I) / Real (Max_Samples) + A;            X_Squared := X * X;                       Actual := Sinh(X);            -- The Taylor series regrouped a bit            Expected :=                X * (1.0 + (X_Squared / 6.0) *                          (1.0 + (X_Squared/20.0) *                                 (1.0 + (X_Squared/42.0) *                                        (1.0 + (X_Squared/72.0) *                                               (1.0 + (X_Squared/110.0) *                                                      (1.0 + (X_Squared/156.0)                   ))))));             Check (Actual, Expected,                   "Subtraction_Error_Test " & Integer'Image (I) & ": sinh(" &		   Real'Image (X) & ") ",                   15.0);            if Accuracy_Error_Reported then              -- only report the first error in this test in order to keep              -- lots of failures from producing a huge error log              return;            end if;         end loop;      exception         when Constraint_Error =>             Report.Failed                ("Constraint_Error raised in Subtraction_Error_Test");         when others =>            Report.Failed ("exception in Subtraction_Error_Test");      end Subtraction_Error_Test;      procedure Exception_Test is         X1, X2 : Real := 0.0;      begin         -- this part of the test is only applicable if 'Machine_Overflows         -- is true.         if Real'Machine_Overflows then	    begin	      X1 := Sinh (Real'Safe_Last / 2.0);	      Report.Failed ("no exception for sinh overflow");	    exception	       when Constraint_Error => null;	       when others =>	          Report.Failed ("wrong exception sinh overflow");	    end;	    begin	      X2 := Cosh (Real'Safe_Last / 2.0);	      Report.Failed ("no exception for cosh overflow");	    exception	       when Constraint_Error => null;	       when others =>	          Report.Failed ("wrong exception cosh overflow");	    end;         end if;         -- optimizer thwarting         if Report.Ident_Bool (False) then            Report.Comment (Real'Image (X1 + X2));         end if;      end Exception_Test;      procedure Do_Test is      begin         Special_Value_Test;         Exact_Result_Test;         Identity_1_Test;         Subtraction_Error_Test;         Exception_Test;      end Do_Test;   end Generic_Check;   -----------------------------------------------------------------------   -----------------------------------------------------------------------   package Float_Check is new Generic_Check (Float);   -- check the floating point type with the most digits   type A_Long_Float is digits System.Max_Digits;   package A_Long_Float_Check is new Generic_Check (A_Long_Float);   -----------------------------------------------------------------------   -----------------------------------------------------------------------begin   Report.Test ("CXG2014",                "Check the accuracy of the SINH and COSH functions");    if Verbose then      Report.Comment ("checking Standard.Float");   end if;   Float_Check.Do_Test;   if Verbose then      Report.Comment ("checking a digits" &                       Integer'Image (System.Max_Digits) &                      " floating point type");   end if;   A_Long_Float_Check.Do_Test;   Report.Result;end CXG2014;

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