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			248 lines
		
	
	
		
			8.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
		
		
			
		
	
	
			248 lines
		
	
	
		
			8.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
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								// test_owens_t.cpp
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								// Copyright Paul A. Bristow 2012.
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								// Copyright Benjamin Sobotta 2012.
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								// Use, modification and distribution are subject to the
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								// Boost Software License, Version 1.0.
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								// (See accompanying file LICENSE_1_0.txt
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								// or copy at http://www.boost.org/LICENSE_1_0.txt)
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								// Tested using some 30 decimal digit accuracy values from:
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								// Fast and accurate calculation of Owen's T-function
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								// Mike Patefield, and David Tandy
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								// Journal of Statistical Software, 5 (5), 1-25 (2000).
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								// http://www.jstatsoft.org/v05/a05/paper  Table 3, page 15
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								// Values of T(h,a) accurate to thirty figures were calculated using 128 bit arithmetic by
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								// evaluating (9) with m = 48, the summation over k being continued until additional terms did
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								// not alter the result. The resultant values Tacc(h,a) say, were validated by evaluating (8) with
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								// m = 48 (i.e. 96 point Gaussian quadrature).
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								#define BOOST_MATH_OVERFLOW_ERROR_POLICY ignore_error
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								#ifdef _MSC_VER
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								#  pragma warning (disable : 4127) // conditional expression is constant
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								#  pragma warning (disable : 4305) // 'initializing' : truncation from 'double' to 'const float'
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								// ?? TODO get rid of these warnings?
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								#endif
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								#include <boost/math/concepts/real_concept.hpp> // for real_concept.
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								using ::boost::math::concepts::real_concept;
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								#include <boost/math/special_functions/owens_t.hpp> // for owens_t function.
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								using boost::math::owens_t;
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								#include <boost/math/distributions/normal.hpp>
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								#define BOOST_TEST_MAIN
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								#include <boost/test/unit_test.hpp>
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								#include <boost/test/floating_point_comparison.hpp>
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								#include <boost/array.hpp>
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								#include "libs/math/test/handle_test_result.hpp"
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								#include "libs/math/test/table_type.hpp"
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								#include "libs/math/test/functor.hpp"
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								#include "test_owens_t.hpp"
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								//
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								// Defining TEST_CPP_DEC_FLOAT enables testing of multiprecision support.
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								// This requires the multiprecision library from sandbox/big_number.
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								// Note that these tests *do not pass*, but they do give an idea of the 
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								// error rates that can be expected....
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								//
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								#ifdef TEST_CPP_DEC_FLOAT
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								#include <boost/multiprecision/cpp_dec_float.hpp>
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								template <class R>
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								inline R convert_to(const char* s)
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								{
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								   try{
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								      return boost::lexical_cast<R>(s);
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								   }
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								   catch(const boost::bad_lexical_cast&)
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								   {
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								      return 0;
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								   }
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								}
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								#define SC_(x) convert_to<T>(BOOST_STRINGIZE(x))
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								#endif
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								#include "owens_t_T7.hpp"
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								#include <iostream>
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								using std::cout;
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								using std::endl;
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								#include <limits>
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								using std::numeric_limits;
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								void expected_results()
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								{
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								   //
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								   // Define the max and mean errors expected for
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								   // various compilers and platforms.
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								   //
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								   const char* largest_type;
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								#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS
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								   if(boost::math::policies::digits<double, boost::math::policies::policy<> >() == boost::math::policies::digits<long double, boost::math::policies::policy<> >())
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								   {
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								      largest_type = "(long\\s+)?double|real_concept";
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								   }
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								   else
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								   {
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								      largest_type = "long double|real_concept";
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								   }
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								#else
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								   largest_type = "(long\\s+)?double";
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								#endif
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								   //
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								   // Catch all cases come last:
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								   //
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								   if(std::numeric_limits<long double>::digits > 60)
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								   {
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								      add_expected_result(
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								         ".*",                            // compiler
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								         ".*",                            // stdlib
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								         ".*",                            // platform
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								         largest_type,                    // test type(s)
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								         ".*",      // test data group
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								         "owens_t", 500, 100);  // test function
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								   }
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								   else
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								   {
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								      add_expected_result(
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								         ".*",                            // compiler
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								         ".*",                            // stdlib
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								         ".*",                            // platform
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								         largest_type,                    // test type(s)
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								         ".*",      // test data group
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								         "owens_t", 60, 5);  // test function
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								   }
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								   //
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								   // Finish off by printing out the compiler/stdlib/platform names,
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								   // we do this to make it easier to mark up expected error rates.
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								   //
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								   std::cout << "Tests run with " << BOOST_COMPILER << ", " 
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								      << BOOST_STDLIB << ", " << BOOST_PLATFORM << std::endl;
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								}
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								BOOST_AUTO_TEST_CASE( test_main )
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								{
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								  BOOST_MATH_CONTROL_FP;
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								  expected_results();
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								  // Basic sanity-check spot values.
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								  // (Parameter value, arbitrarily zero, only communicates the floating point type).
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								  test_spots(0.0F); // Test float.
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								  test_spots(0.0); // Test double.
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								#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS
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								  test_spots(0.0L); // Test long double.
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								#if !BOOST_WORKAROUND(__BORLANDC__, BOOST_TESTED_AT(0x582))
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								  test_spots(boost::math::concepts::real_concept(0.)); // Test real concept.
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								#endif
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								#endif
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								  check_against_T7(0.0F); // Test float.
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								  check_against_T7(0.0); // Test double.
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								#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS
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								  check_against_T7(0.0L); // Test long double.
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								#if !BOOST_WORKAROUND(__BORLANDC__, BOOST_TESTED_AT(0x582))
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								  check_against_T7(boost::math::concepts::real_concept(0.)); // Test real concept.
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								#endif
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								#endif
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								  test_owens_t(0.0F, "float"); // Test float.
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								  test_owens_t(0.0, "double"); // Test double.
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								#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS
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								  test_owens_t(0.0L, "long double"); // Test long double.
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								#if !BOOST_WORKAROUND(__BORLANDC__, BOOST_TESTED_AT(0x582))
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								  test_owens_t(boost::math::concepts::real_concept(0.), "real_concept"); // Test real concept.
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								#endif
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								#endif
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								#ifdef TEST_CPP_DEC_FLOAT
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								  typedef boost::multiprecision::mp_number<boost::multiprecision::cpp_dec_float<35> > cpp_dec_float_35;
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								  test_owens_t(cpp_dec_float_35(0), "cpp_dec_float_35"); // Test real concept.
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								  test_owens_t(boost::multiprecision::cpp_dec_float_50(0), "cpp_dec_float_50"); // Test real concept.
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								  test_owens_t(boost::multiprecision::cpp_dec_float_100(0), "cpp_dec_float_100"); // Test real concept.
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								#endif
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								} // BOOST_AUTO_TEST_CASE( test_main )
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								/*
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								Output:
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								  Description: Autorun "J:\Cpp\MathToolkit\test\Math_test\Debug\test_owens_t.exe"
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								  Running 1 test case...
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								  Tests run with Microsoft Visual C++ version 10.0, Dinkumware standard library version 520, Win32
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								  Tolerance = 3.57628e-006.
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								  Tolerance = 6.66134e-015.
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								  Tolerance = 6.66134e-015.
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								  Tolerance = 6.66134e-015.
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								  Tolerance = 1.78814e-005.
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								  Tolerance = 3.33067e-014.
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								  Tolerance = 3.33067e-014.
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								  Tolerance = 3.33067e-014.
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								  Testing Owens T (medium small values) with type float
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								  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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								  boost::math::owens_t<float> Max = 0 RMS Mean=0
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								  Testing Owens T (large and diverse values) with type float
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								  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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								  boost::math::owens_t<float> Max = 0 RMS Mean=0
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								  Testing Owens T (medium small values) with type double
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								  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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								  boost::math::owens_t<double> Max = 4.375 RMS Mean=0.9728
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								      worst case at row: 81
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								      { 4.4206809997558594, 0.1269868016242981, 1.0900281236140834e-006 }
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								  Testing Owens T (large and diverse values) with type double
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								  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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								  boost::math::owens_t<double> Max = 3.781 RMS Mean=0.6206
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								      worst case at row: 430
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								      { 3.4516773223876953, 0.0010718167759478092, 4.413983645332431e-007 }
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								  Testing Owens T (medium small values) with type long double
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								  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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								  boost::math::owens_t<long double> Max = 4.375 RMS Mean=0.9728
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								      worst case at row: 81
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								      { 4.4206809997558594, 0.1269868016242981, 1.0900281236140834e-006 }
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								  Testing Owens T (large and diverse values) with type long double
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								  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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								  boost::math::owens_t<long double> Max = 3.781 RMS Mean=0.6206
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								      worst case at row: 430
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								      { 3.4516773223876953, 0.0010718167759478092, 4.413983645332431e-007 }
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								  Testing Owens T (medium small values) with type real_concept
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								  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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								  boost::math::owens_t<real_concept> Max = 4.375 RMS Mean=1.032
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								      worst case at row: 81
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								      { 4.4206809997558594, 0.1269868016242981, 1.0900281236140834e-006 }
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								  Testing Owens T (large and diverse values) with type real_concept
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								  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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								  boost::math::owens_t<real_concept> Max = 21.04 RMS Mean=1.102
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								      worst case at row: 439
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								      { 3.4516773223876953, 0.98384737968444824, 0.00013923002576038691 }
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								  *** No errors detected
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								*/
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