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sparse_identities_unit.C
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232 lines (165 loc) · 6.48 KB
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#include <cstdlib> // rand()
#include <iostream>
#include <limits>
#include "metaphysicl/metaphysicl_config.h"
#include "metaphysicl/dynamicsparsenumberarray.h"
#include "metaphysicl/dynamicsparsenumbervector.h"
#include "metaphysicl/metaphysicl_exceptions.h"
#include "metaphysicl/numberarray.h"
#include "metaphysicl/numbervector.h"
#include "metaphysicl/sparsenumberarray.h"
#include "metaphysicl/sparsenumbervector.h"
static const unsigned int N = 20; // test pts.
using namespace MetaPhysicL;
#define one_test(test_func) \
error_vec = test_func; \
{ int new_returnval = test_error_vec(random_vec, error_vec); \
if (new_returnval) \
std::cerr << "Failed test: " << #test_func << std::endl; \
returnval = returnval || new_returnval; }
template <typename Vector>
int test_error_vec (const Vector& random_vec,
const Vector& error_vec)
{
using std::max;
using std::fabs;
typedef typename Vector::value_type Scalar;
static const Scalar tol = std::numeric_limits<Scalar>::epsilon() * 10;
Scalar max_abs_error = 0;
for (unsigned int i=0; i != error_vec.size(); ++i)
{
Scalar err_i = error_vec.raw_at(i);
max_abs_error = max(max_abs_error, fabs(err_i));
// Handle NaNs properly. Testing max_abs_error for NaN is
// impossible because IEEE sucks:
// https://en.wikipedia.org/wiki/IEEE_754_revision#min_and_max
if (max_abs_error > tol || err_i != err_i)
{
std::cerr << "Value " << random_vec[i] <<
"\nError " << err_i <<
"\nTol " << tol << std::endl;
return 1;
}
}
return 0;
}
template <typename Vector>
int vectester (Vector zerovec)
{
using std::abs;
using std::acos;
using std::asin;
using std::atan;
using std::floor;
using std::pow;
using std::sin;
using std::sqrt;
using std::tan;
typedef typename Vector::value_type Scalar;
Vector random_vec = zerovec;
Vector error_vec = zerovec;
std::srand(12345); // Fixed seed for reproduceability of failures
// Avoid divide by zero errors or acos(x>1) NaNs later
for (unsigned int i=0; i != random_vec.size(); ++i)
random_vec.raw_at(i) = .25 + (static_cast<Scalar>(std::rand())/static_cast<Scalar>(RAND_MAX)/2);
int returnval = 0;
one_test(2*random_vec - random_vec - random_vec);
one_test(3*random_vec - random_vec*3);
one_test((random_vec + random_vec)/2 - random_vec);
one_test(sqrt(random_vec) * sqrt(random_vec) - random_vec);
one_test(random_vec*random_vec - pow(random_vec,2));
one_test(sqrt(random_vec) - pow(random_vec,Scalar(.5)));
one_test(random_vec - sin(asin(random_vec)));
one_test(random_vec - tan(atan(random_vec)));
one_test(floor(random_vec / 2));
one_test(abs(random_vec) - random_vec);
return returnval;
}
template <typename Vector>
int if_else_tester (Vector zerovec)
{
using std::sin;
typedef typename Vector::value_type Scalar;
Vector random_vec = zerovec;
Vector error_vec = zerovec;
std::srand(12345); // Fixed seed for reproduceability of failures
for (unsigned int i=0; i != random_vec.size(); ++i)
random_vec.raw_at(i) = .25 + (static_cast<Scalar>(std::rand())/static_cast<Scalar>(RAND_MAX));
int returnval = 0;
one_test((random_vec > 0.75) * 1.0 - (2*random_vec > 1.5) * 1.0);
one_test(if_else(random_vec > 0.4, random_vec, sin(random_vec)) -
if_else(2*random_vec > 0.8, random_vec, sin(random_vec)));
return returnval;
}
template <typename Vector>
int dynamic_tester (Vector zerovec)
{
int returnval = 0;
zerovec.resize(N);
// Create sparse arrays with some sparsity.
for (unsigned int i=0; i != N; ++i)
zerovec.raw_index(i) = static_cast<unsigned int>(1.5*i);
returnval = returnval || vectester(zerovec);
returnval = returnval || if_else_tester(zerovec);
return returnval;
}
int main(int argc, char * argv[])
{
MetaPhysicL::enableFPE(true);
int returnval = 0;
returnval = returnval || vectester(NumberArray<N, float>());
returnval = returnval ||
vectester(SparseNumberArrayOf
<4, 0, float, 1, float,
2, float, 3, float>::type());
returnval = returnval ||
vectester(SparseNumberVectorOf
<4, 0, float, 1, float,
2, float, 3, float>::type());
DynamicSparseNumberArray<float, unsigned int> float_dsna;
returnval = returnval || dynamic_tester(float_dsna);
DynamicSparseNumberVector<float, unsigned int> float_dsnv;
returnval = returnval || dynamic_tester(float_dsna);
returnval = returnval || vectester(NumberArray<N, double>());
returnval = returnval ||
vectester(SparseNumberArrayOf
<4, 0, double, 1, double,
2, double, 3, double>::type());
returnval = returnval ||
vectester(SparseNumberVectorOf
<4, 0, double, 1, double,
2, double, 3, double>::type());
DynamicSparseNumberArray<double, unsigned int> double_dsna;
returnval = returnval || dynamic_tester(double_dsna);
DynamicSparseNumberVector<double, unsigned int> double_dsnv;
returnval = returnval || dynamic_tester(double_dsnv);
bool use_long_double = true;
std::string disarg = "--disable-long-double";
for (int i = 1; i < argc; ++i)
if (disarg == argv[i])
use_long_double = false;
if (use_long_double)
{
returnval = returnval || vectester(NumberArray<N, long double>());
returnval = returnval ||
vectester(SparseNumberArrayOf
<4, 0, long double, 1, long double,
2, long double, 3, long double>::type());
returnval = returnval ||
vectester(SparseNumberVectorOf
<4, 0, long double, 1, long double,
2, long double, 3, long double>::type());
DynamicSparseNumberArray<long double, unsigned int> long_double_dsna;
returnval = returnval || dynamic_tester(long_double_dsna);
DynamicSparseNumberVector<long double, unsigned int> long_double_dsnv;
returnval = returnval || dynamic_tester(long_double_dsnv);
}
// We no longer treat vectors like arrays for built-in functions, so
// most of the identities above make no sense.
/*
returnval = returnval || vectester(NumberVector<N, float>());
returnval = returnval || vectester(NumberVector<N, double>());
returnval = returnval || vectester(NumberVector<N, long double>());
*/
return returnval;
}