remove some generic utility classes

moved to opm-common
This commit is contained in:
Arne Morten Kvarving 2018-01-16 11:31:50 +01:00
parent 5881cfe5da
commit f4111ead14
7 changed files with 0 additions and 727 deletions

View File

@ -94,12 +94,9 @@ list (APPEND MAIN_SOURCE_FILES
list (APPEND TEST_SOURCE_FILES list (APPEND TEST_SOURCE_FILES
tests/test_compressedpropertyaccess.cpp tests/test_compressedpropertyaccess.cpp
tests/test_dgbasis.cpp tests/test_dgbasis.cpp
tests/test_cubic.cpp
tests/test_flowdiagnostics.cpp tests/test_flowdiagnostics.cpp
tests/test_parallelistlinformation.cpp tests/test_parallelistlinformation.cpp
tests/test_sparsevector.cpp
tests/test_velocityinterpolation.cpp tests/test_velocityinterpolation.cpp
tests/test_uniformtablelinear.cpp
tests/test_wells.cpp tests/test_wells.cpp
tests/test_wachspresscoord.cpp tests/test_wachspresscoord.cpp
tests/test_linearsolver.cpp tests/test_linearsolver.cpp
@ -191,7 +188,6 @@ list (APPEND PUBLIC_HEADER_FILES
opm/core/linalg/LinearSolverPetsc.hpp opm/core/linalg/LinearSolverPetsc.hpp
opm/core/linalg/LinearSolverUmfpack.hpp opm/core/linalg/LinearSolverUmfpack.hpp
opm/core/linalg/ParallelIstlInformation.hpp opm/core/linalg/ParallelIstlInformation.hpp
opm/core/linalg/blas_lapack.h
opm/core/linalg/call_umfpack.h opm/core/linalg/call_umfpack.h
opm/core/linalg/sparse_sys.h opm/core/linalg/sparse_sys.h
opm/core/pressure/CompressibleTpfa.hpp opm/core/pressure/CompressibleTpfa.hpp
@ -254,10 +250,8 @@ list (APPEND PUBLIC_HEADER_FILES
opm/core/utility/CompressedPropertyAccess.hpp opm/core/utility/CompressedPropertyAccess.hpp
opm/core/utility/initHydroCarbonState.hpp opm/core/utility/initHydroCarbonState.hpp
opm/core/utility/RegionMapping.hpp opm/core/utility/RegionMapping.hpp
opm/core/utility/UniformTableLinear.hpp
opm/core/utility/VelocityInterpolation.hpp opm/core/utility/VelocityInterpolation.hpp
opm/core/utility/WachspressCoord.hpp opm/core/utility/WachspressCoord.hpp
opm/core/utility/buildUniformMonotoneTable.hpp
opm/core/utility/compressedToCartesian.hpp opm/core/utility/compressedToCartesian.hpp
opm/core/utility/extractPvtTableIndex.hpp opm/core/utility/extractPvtTableIndex.hpp
opm/core/utility/miscUtilities.hpp opm/core/utility/miscUtilities.hpp

View File

@ -1,148 +0,0 @@
/*
Copyright 2010 SINTEF ICT, Applied Mathematics.
This file is part of the Open Porous Media project (OPM).
OPM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OPM is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with OPM. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef OPM_BLAS_LAPACK_HEADER_INCLUDED
#define OPM_BLAS_LAPACK_HEADER_INCLUDED
#ifdef __cplusplus
extern "C" {
#endif
#if defined(MATLAB_MEX_FILE) && MATLAB_MEX_FILE
#include <mex.h>
#undef MAT_SIZE_T
#define MAT_SIZE_T mwSignedIndex
#endif
#ifndef MAT_SIZE_T
#define MAT_SIZE_T int
#endif
/* C <- a1*op(A)*op(B) + a2*C where op(X) in {X, X.'} */
void dgemm_(const char *transA , const char *transB ,
const MAT_SIZE_T* m, const MAT_SIZE_T* n , const MAT_SIZE_T* k ,
const double* a1, const double* A , const MAT_SIZE_T* ldA,
const double* B, const MAT_SIZE_T* ldB,
const double* a2, double* C , const MAT_SIZE_T* ldC);
/* C <- a1*A*A' + a2*C *or* C <- a1*A'*A + a2*C */
void dsyrk_(const char *uplo, const char *trans,
const MAT_SIZE_T *n , const MAT_SIZE_T *k ,
const double *a1 , const double *A , const MAT_SIZE_T *ldA,
const double *a2 , double *C , const MAT_SIZE_T *ldC);
void dgeqrf_(const MAT_SIZE_T *m , const MAT_SIZE_T *n ,
double *A , const MAT_SIZE_T *ld ,
double *tau , double *work,
const MAT_SIZE_T *lwork, MAT_SIZE_T *info);
void dorgqr_(const MAT_SIZE_T *m , const MAT_SIZE_T *n , const MAT_SIZE_T *k ,
double *A , const MAT_SIZE_T *ld , const double *tau,
double *work, const MAT_SIZE_T *lwork, MAT_SIZE_T *info);
/* A <- LU(A) */
void dgetrf_(const MAT_SIZE_T *m , const MAT_SIZE_T *n ,
double *A , const MAT_SIZE_T *ld,
MAT_SIZE_T *ipiv, MAT_SIZE_T *info);
/* B <- A \ B, when A is LU(A) from dgetrf() */
void dgetrs_(const char *trans, const MAT_SIZE_T *n,
const MAT_SIZE_T *nrhs ,
const double *A , const MAT_SIZE_T *lda,
const MAT_SIZE_T *ipiv , double *B,
const MAT_SIZE_T *ldb , MAT_SIZE_T *info);
/* B <- A \ B, tridiagonal A with bands DL, D, DU */
void dgtsv_(const MAT_SIZE_T *n ,
const MAT_SIZE_T *nrhs ,
double *DL ,
double *D ,
double *DU ,
double *B ,
const MAT_SIZE_T *ldb ,
MAT_SIZE_T *info);
/* B <- A \ B, band matrix A stored in AB with kl subdiagonals, ku superdiagonals */
void dgbsv_(const MAT_SIZE_T *n ,
const MAT_SIZE_T *kl ,
const MAT_SIZE_T *ku ,
const MAT_SIZE_T *nrhs ,
double *AB ,
const MAT_SIZE_T *ldab ,
MAT_SIZE_T *ipiv ,
double *B ,
const MAT_SIZE_T *ldb ,
MAT_SIZE_T *info);
/* B <- A \ B, general solver */
void dgesv_(const MAT_SIZE_T *n,
const MAT_SIZE_T *nrhs ,
double *A ,
const MAT_SIZE_T *lda ,
MAT_SIZE_T *piv ,
double *B ,
const MAT_SIZE_T *ldb ,
MAT_SIZE_T *info);
/* A <- chol(A) */
void dpotrf_(const char *uplo, const MAT_SIZE_T *n,
double *A , const MAT_SIZE_T *lda,
MAT_SIZE_T *info);
/* B <- (A \ (A' \ B)), when A=DPOTRF(A_orig) */
void dpotrs_(const char *uplo, const MAT_SIZE_T *n , const MAT_SIZE_T *nrhs,
double *A , const MAT_SIZE_T *lda,
double *B , const MAT_SIZE_T *ldb, MAT_SIZE_T *info);
/* A <- chol(A), packed format. */
void dpptrf_(const char *uplo, const MAT_SIZE_T *n,
double *Ap , MAT_SIZE_T *info);
/* A <- (A \ (A' \ eye(n)) when A=DPPTRF(A_orig) (packed format). */
void dpptri_(const char *uplo, const MAT_SIZE_T *n,
double *Ap , MAT_SIZE_T *info);
/* y <- a1*op(A)*x + a2*y */
void dgemv_(const char *trans,
const MAT_SIZE_T *m , const MAT_SIZE_T *n,
const double *a1 , const double *A, const MAT_SIZE_T *ldA ,
const double *x, const MAT_SIZE_T *incX,
const double *a2 , double *y, const MAT_SIZE_T *incY);
/* y <- a*x + y */
void daxpy_(const MAT_SIZE_T *n, const double *a,
const double *x, const MAT_SIZE_T *incx,
double *y, const MAT_SIZE_T *incy);
/* s <- x' * y */
double ddot_(const MAT_SIZE_T *n, const double *x, const MAT_SIZE_T *incx,
const double *y, const MAT_SIZE_T *incy);
#ifdef __cplusplus
}
#endif
#endif /* OPM_BLAS_LAPACK_HEADER_INCLUDED */

View File

@ -1,268 +0,0 @@
/*
Copyright 2010 SINTEF ICT, Applied Mathematics.
This file is part of the Open Porous Media project (OPM).
OPM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OPM is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with OPM. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef OPM_UNIFORMTABLELINEAR_HEADER_INCLUDED
#define OPM_UNIFORMTABLELINEAR_HEADER_INCLUDED
#include <cmath>
#include <exception>
#include <vector>
#include <utility>
#include <iostream>
#include <opm/common/ErrorMacros.hpp>
namespace Opm {
/// @brief This class uses linear interpolation to compute the value
/// (and its derivative) of a function f sampled at uniform points.
/// @tparam T the range type of the function (should be an algebraic ring type)
template<typename T>
class UniformTableLinear
{
public:
/// @brief Default constructor.
UniformTableLinear();
/// @brief Construct from vector of y-values.
/// @param xmin the x value corresponding to the first y value.
/// @param xmax the x value corresponding to the last y value.
/// @param y_values vector of range values.
UniformTableLinear(double xmin,
double xmax,
const std::vector<T>& y_values);
/// @brief Construct from array of y-values.
/// @param xmin the x value corresponding to the first y value.
/// @param xmax the x value corresponding to the last y value.
/// @param y_values array of range values.
/// @param num_y_values the number of values in y_values.
UniformTableLinear(double xmin,
double xmax,
const T* y_values,
int num_y_values);
/// @brief Get the domain.
/// @return the domain as a pair of doubles.
std::pair<double, double> domain();
/// @brief Rescale the domain.
/// @param new_domain the new domain as a pair of doubles.
void rescaleDomain(std::pair<double, double> new_domain);
/// @brief Evaluate the value at x.
/// @param x a domain value
/// @return f(x)
double operator()(const double x) const;
/// @brief Evaluate the derivative at x.
/// @param x a domain value
/// @return f'(x)
double derivative(const double x) const;
/// @brief Equality operator.
/// @param other another UniformTableLinear.
/// @return true if they are represented exactly alike.
bool operator==(const UniformTableLinear& other) const;
/// @brief Policies for how to behave when trying to evaluate outside the domain.
enum RangePolicy {Throw = 0, ClosestValue = 1, Extrapolate = 2};
/// @brief Sets the behavioural policy for evaluation to the left of the domain.
/// @param rp the policy
void setLeftPolicy(RangePolicy rp);
/// @brief Sets the behavioural policy for evaluation to the right of the domain.
/// @param rp the policy
void setRightPolicy(RangePolicy rp);
protected:
double xmin_;
double xmax_;
double xdelta_;
std::vector<T> y_values_;
RangePolicy left_;
RangePolicy right_;
template <typename U>
friend std::ostream& operator<<(std::ostream& os, const UniformTableLinear<U>& t);
};
// Member implementations.
template<typename T>
inline
UniformTableLinear<T>
::UniformTableLinear()
: left_(ClosestValue), right_(ClosestValue)
{
}
template<typename T>
inline
UniformTableLinear<T>
::UniformTableLinear(double xmin,
double xmax,
const std::vector<T>& y_values)
: xmin_(xmin), xmax_(xmax), y_values_(y_values),
left_(ClosestValue), right_(ClosestValue)
{
assert(xmax > xmin);
assert(y_values.size() > 1);
xdelta_ = (xmax - xmin)/(y_values.size() - 1);
}
template<typename T>
inline
UniformTableLinear<T>
::UniformTableLinear(double xmin,
double xmax,
const T* y_values,
int num_y_values)
: xmin_(xmin), xmax_(xmax),
y_values_(y_values, y_values + num_y_values),
left_(ClosestValue), right_(ClosestValue)
{
assert(xmax > xmin);
assert(y_values_.size() > 1);
xdelta_ = (xmax - xmin)/(y_values_.size() - 1);
}
template<typename T>
inline std::pair<double, double>
UniformTableLinear<T>
::domain()
{
return std::make_pair(xmin_, xmax_);
}
template<typename T>
inline void
UniformTableLinear<T>
::rescaleDomain(std::pair<double, double> new_domain)
{
xmin_ = new_domain.first;
xmax_ = new_domain.second;
xdelta_ = (xmax_ - xmin_)/(y_values_.size() - 1);
}
template<typename T>
inline double
UniformTableLinear<T>
::operator()(const double xparam) const
{
// Implements ClosestValue policy.
double x = std::min(xparam, xmax_);
x = std::max(x, xmin_);
// Lookup is easy since we are uniform in x.
double pos = (x - xmin_)/xdelta_;
double posi = std::floor(pos);
int left = int(posi);
if (left == int(y_values_.size()) - 1) {
// We are at xmax_
return y_values_.back();
}
double w = pos - posi;
return (1.0 - w)*y_values_[left] + w*y_values_[left + 1];
}
template<typename T>
inline double
UniformTableLinear<T>
::derivative(const double xparam) const
{
// Implements derivative consistent
// with ClosestValue policy for function
double value;
if (xparam > xmax_ || xparam < xmin_) {
value = 0.0;
} else {
double x = std::min(xparam, xmax_);
x = std::max(x, xmin_);
// Lookup is easy since we are uniform in x.
double pos = (x - xmin_)/xdelta_;
double posi = std::floor(pos);
int left = int(posi);
if (left == int(y_values_.size()) - 1) {
// We are at xmax_
--left;
}
value = (y_values_[left + 1] - y_values_[left])/xdelta_;
}
return value;
}
template<typename T>
inline bool
UniformTableLinear<T>
::operator==(const UniformTableLinear<T>& other) const
{
return xmin_ == other.xmin_
&& xdelta_ == other.xdelta_
&& y_values_ == other.y_values_
&& left_ == other.left_
&& right_ == other.right_;
}
template<typename T>
inline void
UniformTableLinear<T>
::setLeftPolicy(RangePolicy rp)
{
if (rp != ClosestValue) {
OPM_THROW(std::runtime_error, "Only ClosestValue RangePolicy implemented.");
}
left_ = rp;
}
template<typename T>
inline void
UniformTableLinear<T>
::setRightPolicy(RangePolicy rp)
{
if (rp != ClosestValue) {
OPM_THROW(std::runtime_error, "Only ClosestValue RangePolicy implemented.");
}
right_ = rp;
}
template <typename T>
inline std::ostream& operator<<(std::ostream& os, const UniformTableLinear<T>& t)
{
int n = t.y_values_.size();
for (int i = 0; i < n; ++i) {
double f = double(i)/double(n - 1);
os << (1.0 - f)*t.xmin_ + f*t.xmax_
<< " " << t.y_values_[i] << '\n';
}
return os;
}
namespace utils
{
using Opm::UniformTableLinear;
}
} // namespace Opm
#endif // OPM_UNIFORMTABLELINEAR_HEADER_INCLUDED

View File

@ -1,50 +0,0 @@
/*
Copyright 2010 SINTEF ICT, Applied Mathematics.
This file is part of the Open Porous Media project (OPM).
OPM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OPM is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with OPM. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef OPM_BUILDUNIFORMMONOTONETABLE_HEADER_INCLUDED
#define OPM_BUILDUNIFORMMONOTONETABLE_HEADER_INCLUDED
#include <opm/core/utility/MonotCubicInterpolator.hpp>
#include <opm/core/utility/UniformTableLinear.hpp>
namespace Opm {
template <typename T>
void buildUniformMonotoneTable(const std::vector<double>& xv,
const std::vector<T>& yv,
const int samples,
UniformTableLinear<T>& table)
{
MonotCubicInterpolator interp(xv, yv);
std::vector<T> uniform_yv(samples);
double xmin = xv[0];
double xmax = xv.back();
for (int i = 0; i < samples; ++i) {
double w = double(i)/double(samples - 1);
double x = (1.0 - w)*xmin + w*xmax;
uniform_yv[i] = interp(x);
}
table = UniformTableLinear<T>(xmin, xmax, uniform_yv);
}
} // namespace Opm
#endif // OPM_BUILDUNIFORMMONOTONETABLE_HEADER_INCLUDED

View File

@ -1,73 +0,0 @@
//===========================================================================
//
// File: monotcubicinterpolator_test.cpp
//
// Created: Tue Dec 8 12:25:30 2009
//
// Author(s): Atgeirr F Rasmussen <atgeirr@sintef.no>
// Bård Skaflestad <bard.skaflestad@sintef.no>
//
// $Date$
//
// $Revision$
//
//===========================================================================
/*
Copyright 2009, 2010 SINTEF ICT, Applied Mathematics.
Copyright 2009, 2010 Statoil ASA.
Portions Copyright 2013 Uni Research AS.
This file is part of The Open Reservoir Simulator Project (OpenRS).
OpenRS is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OpenRS is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with OpenRS. If not, see <http://www.gnu.org/licenses/>.
*/
#include "config.h"
/* --- Boost.Test boilerplate --- */
#if HAVE_DYNAMIC_BOOST_TEST
#define BOOST_TEST_DYN_LINK
#endif
#define NVERBOSE // Suppress own messages when throw()ing
#define BOOST_TEST_MODULE CubicTest
#include <boost/test/unit_test.hpp>
#include <boost/test/floating_point_comparison.hpp>
/* --- our own headers --- */
#include <opm/core/utility/MonotCubicInterpolator.hpp>
using namespace Opm;
BOOST_AUTO_TEST_SUITE ()
BOOST_AUTO_TEST_CASE (cubic)
{
const int num_v = 3;
double xv[num_v] = {0.0, 1.0, 2.0};
double fv[num_v] = {10.0, 21.0, 2.0};
std::vector<double> x(xv, xv + num_v);
std::vector<double> f(fv, fv + num_v);
MonotCubicInterpolator interp(x, f);
BOOST_REQUIRE_CLOSE (interp.evaluate(-1.0), 10., 0.00001);
BOOST_REQUIRE_CLOSE (interp.evaluate(0.0), 10., 0.00001);
BOOST_REQUIRE_CLOSE (interp.evaluate(0.0001), 10.0011, 0.00001);
BOOST_REQUIRE_CLOSE (interp.evaluate(0.5), 17.375, 0.00001);
BOOST_REQUIRE_CLOSE (interp.evaluate(1.0), 21., 0.00001);
BOOST_REQUIRE_CLOSE (interp.evaluate(2.0), 2., 0.00001);
BOOST_REQUIRE_CLOSE (interp.evaluate(4.0), 2., 0.00001);
}
BOOST_AUTO_TEST_SUITE_END()

View File

@ -1,109 +0,0 @@
//===========================================================================
//
// File: sparsevector_test.cpp
//
// Created: Mon Jun 29 21:00:53 2009
//
// Author(s): Atgeirr F Rasmussen <atgeirr@sintef.no>
// Bård Skaflestad <bard.skaflestad@sintef.no>
//
// $Date$
//
// $Revision$
//
//===========================================================================
/*
Copyright 2009, 2010 SINTEF ICT, Applied Mathematics.
Copyright 2009, 2010 Statoil ASA.
This file is part of The Open Reservoir Simulator Project (OpenRS).
OpenRS is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OpenRS is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with OpenRS. If not, see <http://www.gnu.org/licenses/>.
*/
#include <config.h>
#if HAVE_DYNAMIC_BOOST_TEST
#define BOOST_TEST_DYN_LINK
#endif
#define NVERBOSE // to suppress our messages when throwing
#define BOOST_TEST_MODULE SparseVectorTest
#include <boost/test/unit_test.hpp>
#include <opm/core/utility/SparseVector.hpp>
using namespace Opm;
BOOST_AUTO_TEST_CASE(construction_and_queries)
{
const SparseVector<int> sv1;
BOOST_CHECK(sv1.empty());
BOOST_CHECK_EQUAL(sv1.size(), 0);
BOOST_CHECK_EQUAL(sv1.nonzeroSize(), 0);
const int size = 100;
const int num_elem = 9;
const int elem[num_elem] = { 9, 8, 7, 6, 5, 4, 3, 2, 1 };
const int indices[num_elem] = { 1, 2, 3, 5, 8, 13, 21, 34, 55 };
const SparseVector<int> sv2(size, elem, elem + num_elem, indices, indices + num_elem);
BOOST_CHECK(!sv2.empty());
BOOST_CHECK_EQUAL(sv2.size(), size);
BOOST_CHECK_EQUAL(sv2.element(0), 0);
BOOST_CHECK_EQUAL(sv2.element(1), 9);
BOOST_CHECK_EQUAL(sv2.element(2), 8);
BOOST_CHECK_EQUAL(sv2.element(3), 7);
BOOST_CHECK_EQUAL(sv2.element(4), 0);
BOOST_CHECK_EQUAL(sv2.element(5), 6);
BOOST_CHECK_EQUAL(sv2.element(55), 1);
BOOST_CHECK_EQUAL(sv2.element(99), 0);
BOOST_CHECK_EQUAL(sv2.nonzeroSize(), num_elem);
for (int i = 0; i < num_elem; ++i) {
BOOST_CHECK_EQUAL(sv2.nonzeroElement(i), elem[i]);
}
const SparseVector<int> sv2_again(size, elem, elem + num_elem, indices, indices + num_elem);
BOOST_CHECK(sv2 == sv2_again);
SparseVector<int> sv2_append(size, elem, elem + num_elem - 1, indices, indices + num_elem - 1);
BOOST_CHECK_EQUAL(sv2_append.nonzeroSize(), num_elem - 1);
sv2_append.addElement(elem[num_elem - 1], indices[num_elem - 1]);
BOOST_CHECK(sv2 == sv2_append);
SparseVector<int> sv2_append2(size);
for (int i = 0; i < num_elem; ++i) {
sv2_append2.addElement(elem[i], indices[i]);
}
BOOST_CHECK(sv2 == sv2_append2);
sv2_append2.clear();
SparseVector<int> sv_empty;
BOOST_CHECK(sv2_append2 == sv_empty);
// Tests that only run in debug mode.
#ifndef NDEBUG
// One element too few.
BOOST_CHECK_THROW(const SparseVector<int> sv3(size, elem, elem + num_elem - 1, indices, indices + num_elem), std::exception);
// One element too many.
BOOST_CHECK_THROW(const SparseVector<int> sv4(size, elem, elem + num_elem, indices, indices + num_elem - 1), std::exception);
// Indices out of range.
BOOST_CHECK_THROW(const SparseVector<int> sv5(4, elem, elem + num_elem, indices, indices + num_elem), std::exception);
// Indices not strictly increasing. Cheating by using the elements as indices.
BOOST_CHECK_THROW(const SparseVector<int> sv5(size, elem, elem + num_elem, elem, elem + num_elem), std::exception);
// Do not ask for out of range indices.
BOOST_CHECK_THROW(sv1.element(0), std::exception);
BOOST_CHECK_THROW(sv2.element(-1), std::exception);
BOOST_CHECK_THROW(sv2.element(sv2.size()), std::exception);
BOOST_CHECK_THROW(sv2.nonzeroElement(sv2.nonzeroSize()), std::exception);
#endif
}

View File

@ -1,73 +0,0 @@
/*
Copyright 2010 SINTEF ICT, Applied Mathematics.
This file is part of the Open Porous Media project (OPM).
OPM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OPM is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with OPM. If not, see <http://www.gnu.org/licenses/>.
*/
#include <config.h>
#if defined(HAVE_DYNAMIC_BOOST_TEST)
#define BOOST_TEST_DYN_LINK
#endif
#define NVERBOSE // to suppress our messages when throwing
#define BOOST_TEST_MODULE UniformTableLinearTests
#include <boost/test/unit_test.hpp>
#include <opm/core/utility/UniformTableLinear.hpp>
BOOST_AUTO_TEST_CASE(table_operations)
{
// Make a simple table.
double yva[] = { 1.0, -1.0, 3.0, 4.0, 2.0 };
const int numvals = sizeof(yva)/sizeof(yva[0]);
std::vector<double> yv(yva, yva + numvals);
const double xmin = 1.0;
const double xdelta = 2.5;
const double xmax = xmin + (numvals - 1)*xdelta;
Opm::utils::UniformTableLinear<double> t1(xmin, xmax, yv);
Opm::utils::UniformTableLinear<double> t1_copy1(1.0, 11.0, yv);
Opm::utils::UniformTableLinear<double> t1_copy2(t1);
// Check equality.
BOOST_CHECK(t1 == t1_copy1);
BOOST_CHECK(t1 == t1_copy2);
// Check some evaluations.
for (int i = 0; i < numvals; ++i) {
BOOST_CHECK_EQUAL(t1(xmin + i*xdelta), yv[i]);
}
BOOST_CHECK_EQUAL(t1(2.25), 0.0);
BOOST_CHECK_EQUAL(t1(9.75), 3.0);
BOOST_CHECK_EQUAL(t1.derivative(9.75), -2.0/xdelta);
// Until we implement anything but the ClosestValue end policy, we only test that.
BOOST_CHECK_EQUAL(t1(xmin - 1.0), yv[0]);
BOOST_CHECK_EQUAL(t1(xmax + 1.0), yv.back());
// Domains.
BOOST_CHECK_EQUAL(t1.domain().first, xmin);
BOOST_CHECK_EQUAL(t1.domain().second, xmin + (numvals-1)*xdelta);
std::pair<double, double> new_domain(-100.0, 20.0);
t1.rescaleDomain(new_domain);
BOOST_CHECK_EQUAL(t1.domain().first, new_domain.first);
BOOST_CHECK_EQUAL(t1.domain().second, new_domain.second);
for (int i = 0; i < numvals; ++i) {
BOOST_CHECK_EQUAL(t1(-100.0 + i*120.0/(double(numvals - 1))), yv[i]);
}
BOOST_CHECK_EQUAL(t1(-85.0), 0.0);
BOOST_CHECK(std::fabs(t1.derivative(0.0) + 2.0/30.0) < 1e-14);
}