Support for XISF
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// ____ ______ __
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// / __ \ / ____// /
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// / /_/ // / / /
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// / ____// /___ / /___ PixInsight Class Library
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// /_/ \____//_____/ PCL 2.4.23
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// ----------------------------------------------------------------------------
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// pcl/UnidimensionalInterpolation.h - Released 2022-03-12T18:59:29Z
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// ----------------------------------------------------------------------------
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// This file is part of the PixInsight Class Library (PCL).
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// PCL is a multiplatform C++ framework for development of PixInsight modules.
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//
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// Copyright (c) 2003-2022 Pleiades Astrophoto S.L. All Rights Reserved.
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//
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// Redistribution and use in both source and binary forms, with or without
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// modification, is permitted provided that the following conditions are met:
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//
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// 1. All redistributions of source code must retain the above copyright
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// notice, this list of conditions and the following disclaimer.
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//
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// 2. All redistributions in binary form must reproduce the above copyright
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// notice, this list of conditions and the following disclaimer in the
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// documentation and/or other materials provided with the distribution.
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//
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// 3. Neither the names "PixInsight" and "Pleiades Astrophoto", nor the names
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// of their contributors, may be used to endorse or promote products derived
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// from this software without specific prior written permission. For written
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// permission, please contact info@pixinsight.com.
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//
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// 4. All products derived from this software, in any form whatsoever, must
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// reproduce the following acknowledgment in the end-user documentation
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// and/or other materials provided with the product:
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//
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// "This product is based on software from the PixInsight project, developed
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// by Pleiades Astrophoto and its contributors (https://pixinsight.com/)."
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//
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// Alternatively, if that is where third-party acknowledgments normally
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// appear, this acknowledgment must be reproduced in the product itself.
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//
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// THIS SOFTWARE IS PROVIDED BY PLEIADES ASTROPHOTO AND ITS CONTRIBUTORS
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// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
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// TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL PLEIADES ASTROPHOTO OR ITS
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// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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// EXEMPLARY OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, BUSINESS
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// INTERRUPTION; PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; AND LOSS OF USE,
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// DATA OR PROFITS) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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// ----------------------------------------------------------------------------
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#ifndef __PCL_UnidimensionalInterpolation_h
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#define __PCL_UnidimensionalInterpolation_h
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/// \file pcl/UnidimensionalInterpolation.h
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#include <pcl/Defs.h>
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#include <pcl/Diagnostics.h>
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#include <pcl/Vector.h>
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namespace pcl
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{
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// ----------------------------------------------------------------------------
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/*!
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* \class UnidimensionalInterpolation
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* \brief A generic interface to one-dimensional interpolation algorithms.
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*
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* %UnidimensionalInterpolation is an abstract base class for all
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* one-dimensional interpolation algorithm implementations in PCL.
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*/
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template <typename T>
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class PCL_CLASS UnidimensionalInterpolation
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{
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public:
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/*!
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* Represents a vector of independent and dependent variable values.
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*/
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typedef GenericVector<T> vector_type;
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/*!
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* Constructs a %UnidimensionalInterpolation object.
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*/
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UnidimensionalInterpolation() = default;
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/*!
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* Copy constructor.
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*/
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UnidimensionalInterpolation( const UnidimensionalInterpolation& ) = default;
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/*!
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* Destroys a %UnidimensionalInterpolation object.
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*/
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virtual ~UnidimensionalInterpolation()
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{
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Clear();
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}
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/*!
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* Initializes a new interpolation.
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*
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* \param x %Vector of x-values:\n
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* \n
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* \li If this vector is not empty: Must be a set of monotonically\n
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* increasing, distinct values: x[0] < x[1] < ... < x[n-1].\n
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* \li If this vector is empty: The interpolation will use implicit
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* x[i] = i for i = {0,1,...,n-1}.
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*
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* \param y %Vector of function values for i = {0,1,...,n-1}.
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*/
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virtual void Initialize( const vector_type& x, const vector_type& y )
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{
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if ( !y || x && x.Length() < y.Length() )
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throw Error( "Invalid vector length in UnidimensionalInterpolation::Initialize()" );
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m_x = x;
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m_y = y;
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}
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/*!
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* Initializes a new interpolation.
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*
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* \param x %Array of x-values:\n
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* \n
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* \li If \a x != 0: Must be a list of monotonically increasing,
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* distinct values: x[0] < x[1] < ... < x[n-1].\n
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* \li If \a x == 0: The interpolation will use implicit
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* x[i] = i for i = {0,1,...,n-1}.
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*
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* \param y %Array of function values for i = {0,1,...,n-1}.
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*
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* \param n Number of data points. The minimum number of required data
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* points depends on the interpolation algorithm. In general,
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* all algorithms require at least \a n >= 2.
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*
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* \deprecated This member function has been deprecated. For newly produced
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* code, use Initialize( const vector_type&, const vector_type& ).
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*/
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void Initialize( const T* x, const T* y, int n )
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{
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Initialize( vector_type( x, n ), vector_type( y, n ) );
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}
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/*!
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* Returns an interpolated function value at \a x location.
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*/
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virtual double operator()( double x ) const = 0;
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/*!
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* Clears auxiliary or intermediate interpolation data. Derived classes
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* overriding this function should call their base class version via
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* explicit downcast.
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*/
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virtual void Clear()
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{
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m_x.Clear();
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m_y.Clear();
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}
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/*!
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* Returns true iff this interpolation is valid, i.e. if it has been
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* correctly initialized and is ready to interpolate function values.
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*/
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virtual bool IsValid() const
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{
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return m_y;
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}
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/*!
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* Returns a reference to the x-value data vector. Returns an empty vector
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* if this interpolation uses implicit x[i] = i for i = {0,1,...,n-1}.
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*/
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const vector_type& X() const
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{
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return m_x;
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}
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/*!
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* Returns a reference to the interpolated function value vector.
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*/
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const vector_type& Y() const
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{
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return m_y;
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}
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/*!
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* Returns true iff this interpolation uses implicit
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* x[i] = i for i = {0,1,...,n-1}.
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*/
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bool UsingImplicitX() const
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{
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return !m_x && m_y;
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}
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/*!
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* Returns the length of the interpolated function value vector.
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*/
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int Length() const
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{
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return m_y.Length();
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}
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protected:
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vector_type m_x; // x-vector (empty if implicit grid x-values)
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vector_type m_y; // y-vector
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};
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// ----------------------------------------------------------------------------
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} // pcl
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#endif // __PCL_UnidimensionalInterpolation_h
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// ----------------------------------------------------------------------------
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// EOF pcl/UnidimensionalInterpolation.h - Released 2022-03-12T18:59:29Z
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