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223 lines
6.2 KiB
C++
223 lines
6.2 KiB
C++
/*
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* Copyright 2011-2019, European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef CACModel_included
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#define CACModel_included
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/*******************************************************************************
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TYPE:
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CACModel : Concrete class.
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PURPOSE:
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These classes handles the adaptative symbols probabilities to be used with entropy
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coding.
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FUNCTION:
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Starting from an equi-probable distribution, the model adapts itself each time a
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symbol is encoded by managing symbols frequency counts, cumulative frequency and
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frequency-based symbol sorting.
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INTERFACES:
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See 'INTERFACES' in the module declaration below
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RESOURCES:
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Heap Memory (>2K).
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REFERENCE:
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"Arithmetic Coding for Data Compression"; Witten, Neal & Cleary;
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Commun. ACM, vol. 30, pp 520-540, June 1987.
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PROCESSING:
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The symbols probabilities are initially equal, frequency counts are set to 1,
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cumulative frequencies are computed according to initial symbol ordering.
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Each time a symbol is encoded a model update is performed, the symbol frequency count
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is incremented, a move-to-front technique is used to keep the symbols sorted
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by frequency and the cumulative frequencies are computed appropriatelly.
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When the the sum of the frequency counts exceeds a given threshold, the symbols
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frequencies are scaled down by half to give more weight to more recents events.
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DATA:
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See 'DATA :' in the class header below.
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LOGIC:
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*******************************************************************************/
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#include <memory>
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#include "RMAErrorHandling.h"
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#include "Bitlevel.h"
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#include "WTConst.h"
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namespace COMP
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{
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class CACModel
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{
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private:
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// DATA:
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const unsigned __int32 c_MaxFrequency; // upper limit for cumulative threshold
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unsigned __int32 m_MaxFreq; // cumulative frequency threshold
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unsigned int m_NbSymbols; // number of symbol handled by the model
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unsigned __int32 m_Freq[33]; // frequency counts array
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unsigned __int32 m_CumFreq[33]; // cumulative frequency counts array
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unsigned int m_SymbolToIndex[33]; // symbol to sorting index array
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unsigned int m_IndexToSymbol[33]; // sorting index to symbol array
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// INTERFACES:
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// Description: Performs the symbol frequencies rescaling.
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// Returns: Nothing.
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void Rescale();
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public:
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// INTERFACES:
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// Description: Default constructor.
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// Returns: Nothing.
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CACModel()
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: c_MaxFrequency((1UL << (c_ACNbBits - 2)) - 1), m_NbSymbols(0)
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{
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}
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// Description: Get the number of symbols handled by the model [0, 32].
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// Returns: The number of symbols.
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unsigned int GetNbSymbols() const
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{
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return m_NbSymbols;
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}
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// Description: Get the frequency of the symbol given by its sorting index.
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// 1 is the most probable symbol, GetNbSymbols() is the least
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// probable one.
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// Returns: The symbol frequency count.
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unsigned __int32 GetFreq(
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const unsigned int i_Index // sorting index of the symbol
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)
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const
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{
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COMP_TRYTHIS_SPEED
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#ifdef _DEBUG
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Assert(i_Index > 0 && i_Index <= m_NbSymbols, Util::CParamException());
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#endif
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return m_Freq[i_Index];
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COMP_CATCHTHIS_SPEED
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}
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// Description: Get the cumulative frequency at a given sorting index.
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// 1 is the most probable symbol, GetNbSymbols() is the least
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// probable one,
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// GetCumFreq(i) is equal to the sum of GetFreq(k) with
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// k=[i+1, GetNbSymbols()]
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// Returns: The cumulative frequency.
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unsigned __int32 GetCumFreq(
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const unsigned int i_Index // sorting index
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)
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const
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{
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COMP_TRYTHIS_SPEED
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#ifdef _DEBUG
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Assert(i_Index <= m_NbSymbols, Util::CParamException());
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#endif
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return m_CumFreq[i_Index];
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COMP_CATCHTHIS_SPEED
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}
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// Description: Get the sorting index of a given symbol.
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// Returns: The sorting index.
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unsigned int GetIndex(
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const unsigned int i_Symbol // the symbol [0, GetNbSymbols()[
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)
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const
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{
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COMP_TRYTHIS_SPEED
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#ifdef _DEBUG
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Assert(i_Symbol < m_NbSymbols, Util::CParamException());
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#endif
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return m_SymbolToIndex[i_Symbol];
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COMP_CATCHTHIS_SPEED
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}
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// Description: Get the symbol associated with a given sorting index.
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// Returns: The associated symbol.
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unsigned int GetSymbol(
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const unsigned int i_Index // the sorting index [1, GetNbSymbols()]
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)
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const
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{
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COMP_TRYTHIS_SPEED
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#ifdef _DEBUG
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Assert(i_Index > 0 && i_Index <= m_NbSymbols, Util::CParamException());
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#endif
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return m_IndexToSymbol[i_Index];
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COMP_CATCHTHIS_SPEED
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}
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// Description: Check if the model has been initialised.
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// Returns: true if the model was initialized, false otherwise.
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bool IsInitialized() const
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{
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COMP_TRYTHIS_SPEED
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return m_NbSymbols ? true : false;
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COMP_CATCHTHIS_SPEED
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}
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// Description: Reset the symbol frequencies to the initial state (equi-probable).
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// Returns: Nothing.
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void Start();
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// Description: Update the model after the encoding of the MPS.
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// Returns: Nothing.
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void UpdateMps()
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{
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COMP_TRYTHIS_SPEED
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if (m_CumFreq[0] >= m_MaxFreq)
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Rescale();
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m_Freq[1]++;
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m_CumFreq[0]++;
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COMP_CATCHTHIS_SPEED
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}
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// Description: Update the model after the encoding of
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// one of the LPS given by its sorting index.
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// Returns: Nothing.
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void UpdateLps(
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const unsigned int i_Index // the sorting index
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);
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// Description: Initialise the model to handle a given number of symbols.
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// Returns: Nothing.
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void Initialize(
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unsigned int i_NbS // the number of symbols [0, 32]
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)
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{
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COMP_TRYTHIS
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Assert(i_NbS <= 32, Util::CParamException());
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m_NbSymbols = i_NbS;
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if (i_NbS)
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{
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unsigned __int32 temp = (unsigned __int32)m_NbSymbols << 5;
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m_MaxFreq = (temp < c_MaxFrequency) ? temp : c_MaxFrequency;
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Start();
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}
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COMP_CATCHTHIS
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}
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};
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} // end namespace
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#endif
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