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Diffstat (limited to 'intern/moto/include/NM_Scalar.h')
-rw-r--r--intern/moto/include/NM_Scalar.h159
1 files changed, 0 insertions, 159 deletions
diff --git a/intern/moto/include/NM_Scalar.h b/intern/moto/include/NM_Scalar.h
deleted file mode 100644
index 0e33979c521..00000000000
--- a/intern/moto/include/NM_Scalar.h
+++ /dev/null
@@ -1,159 +0,0 @@
-/*
- * ***** BEGIN GPL LICENSE BLOCK *****
- *
- * This program 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 2
- * of the License, or (at your option) any later version.
- *
- * This program 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 this program; if not, write to the Free Software Foundation,
- * Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
- *
- * The Original Code is Copyright (C) 2001-2002 by NaN Holding BV.
- * All rights reserved.
- *
- * The Original Code is: all of this file.
- *
- * Contributor(s): none yet.
- *
- * ***** END GPL LICENSE BLOCK *****
- */
-
-/** \file moto/include/NM_Scalar.h
- * \ingroup moto
- */
-
-
-#include <math.h>
-#include <iostream>
-
-template <class T>
-class NM_Scalar {
-public:
- NM_Scalar() {}
- explicit NM_Scalar(T value, T error = 0.0) :
- m_value(value), m_error(error) {}
-
- T getValue() const { return m_value; }
- T getError() const { return m_error; }
-
- operator T() const { return m_value; }
-
- NM_Scalar operator-() const {
- return NM_Scalar<T>(-m_value, m_error);
- }
-
- NM_Scalar& operator=(T value) {
- m_value = value;
- m_error = 0.0;
- return *this;
- }
-
- NM_Scalar& operator+=(const NM_Scalar& x) {
- m_value += x.m_value;
- m_error = (fabs(m_value) * (m_error + 1.0) +
- fabs(x.m_value) * (x.m_error + 1.0)) /
- fabs(m_value + x.m_value);
- return *this;
- }
-
- NM_Scalar& operator-=(const NM_Scalar& x) {
- m_value -= x.m_value;
- m_error = (fabs(m_value) * (m_error + 1.0) +
- fabs(x.m_value) * (x.m_error + 1.0)) /
- fabs(m_value - x.m_value);
- return *this;
- }
-
- NM_Scalar& operator*=(const NM_Scalar& x) {
- m_value *= x.m_value;
- m_error += x.m_error + 1.0;
- return *this;
- }
-
- NM_Scalar& operator/=(const NM_Scalar& x) {
- m_value /= x.m_value;
- m_error += x.m_error + 1.0;
- return *this;
- }
-
-private:
- T m_value;
- T m_error;
-};
-
-template <class T>
-inline NM_Scalar<T> operator+(const NM_Scalar<T>& x, const NM_Scalar<T>& y) {
- return x.getValue() == 0.0 && y.getValue() == 0.0 ?
- NM_Scalar<T>(0.0, 0.0) :
- NM_Scalar<T>(x.getValue() + y.getValue(),
- (fabs(x.getValue()) * (x.getError() + 1.0) +
- fabs(y.getValue()) * (y.getError() + 1.0)) /
- fabs(x.getValue() + y.getValue()));
-}
-
-template <class T>
-inline NM_Scalar<T> operator-(const NM_Scalar<T>& x, const NM_Scalar<T>& y) {
- return x.getValue() == 0.0 && y.getValue() == 0.0 ?
- NM_Scalar<T>(0.0, 0.0) :
- NM_Scalar<T>(x.getValue() - y.getValue(),
- (fabs(x.getValue()) * (x.getError() + 1.0) +
- fabs(y.getValue()) * (y.getError() + 1.0)) /
- fabs(x.getValue() - y.getValue()));
-}
-
-template <class T>
-inline NM_Scalar<T> operator*(const NM_Scalar<T>& x, const NM_Scalar<T>& y) {
- return NM_Scalar<T>(x.getValue() * y.getValue(),
- x.getError() + y.getError() + 1.0);
-}
-
-template <class T>
-inline NM_Scalar<T> operator/(const NM_Scalar<T>& x, const NM_Scalar<T>& y) {
- return NM_Scalar<T>(x.getValue() / y.getValue(),
- x.getError() + y.getError() + 1.0);
-}
-
-template <class T>
-inline std::ostream& operator<<(std::ostream& os, const NM_Scalar<T>& x) {
- return os << x.getValue() << '[' << x.getError() << ']';
-}
-
-template <class T>
-inline NM_Scalar<T> sqrt(const NM_Scalar<T>& x) {
- return NM_Scalar<T>(sqrt(x.getValue()),
- 0.5 * x.getError() + 1.0);
-}
-
-template <class T>
-inline NM_Scalar<T> acos(const NM_Scalar<T>& x) {
- return NM_Scalar<T>(acos(x.getValue()), x.getError() + 1.0);
-}
-
-template <class T>
-inline NM_Scalar<T> cos(const NM_Scalar<T>& x) {
- return NM_Scalar<T>(cos(x.getValue()), x.getError() + 1.0);
-}
-
-template <class T>
-inline NM_Scalar<T> sin(const NM_Scalar<T>& x) {
- return NM_Scalar<T>(sin(x.getValue()), x.getError() + 1.0);
-}
-
-template <class T>
-inline NM_Scalar<T> fabs(const NM_Scalar<T>& x) {
- return NM_Scalar<T>(fabs(x.getValue()), x.getError());
-}
-
-template <class T>
-inline NM_Scalar<T> pow(const NM_Scalar<T>& x, const NM_Scalar<T>& y) {
- return NM_Scalar<T>(pow(x.getValue(), y.getValue()),
- fabs(y.getValue()) * x.getError() + 1.0);
-}
-