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<h1>Image.h</h1><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">// Read the documentation to learn more about C++ code generator</span>
<a name="l00002"></a>00002 <span class="comment">// versioning.</span>
<a name="l00003"></a>00003 <span class="comment">// This is version 2.2 release dated Sep 2009</span>
<a name="l00004"></a>00004 <span class="comment">// Astrophysics Science Division,</span>
<a name="l00005"></a>00005 <span class="comment">// NASA/ Goddard Space Flight Center</span>
<a name="l00006"></a>00006 <span class="comment">// HEASARC</span>
<a name="l00007"></a>00007 <span class="comment">// http://heasarc.gsfc.nasa.gov</span>
<a name="l00008"></a>00008 <span class="comment">// e-mail: ccfits@legacy.gsfc.nasa.gov</span>
<a name="l00009"></a>00009 <span class="comment">//</span>
<a name="l00010"></a>00010 <span class="comment">// Original author: Ben Dorman</span>
<a name="l00011"></a>00011
<a name="l00012"></a>00012 <span class="preprocessor">#ifndef IMAGE_H</span>
<a name="l00013"></a>00013 <span class="preprocessor"></span><span class="preprocessor">#define IMAGE_H 1</span>
<a name="l00014"></a>00014 <span class="preprocessor"></span>
<a name="l00015"></a>00015 <span class="comment">// functional</span>
<a name="l00016"></a>00016 <span class="preprocessor">#include <functional></span>
<a name="l00017"></a>00017 <span class="comment">// valarray</span>
<a name="l00018"></a>00018 <span class="preprocessor">#include <valarray></span>
<a name="l00019"></a>00019 <span class="comment">// vector</span>
<a name="l00020"></a>00020 <span class="preprocessor">#include <vector></span>
<a name="l00021"></a>00021 <span class="comment">// numeric</span>
<a name="l00022"></a>00022 <span class="preprocessor">#include <numeric></span>
<a name="l00023"></a>00023 <span class="preprocessor">#ifdef _MSC_VER</span>
<a name="l00024"></a>00024 <span class="preprocessor"></span><span class="preprocessor">#include "MSconfig.h"</span> <span class="comment">//form std::min</span>
<a name="l00025"></a>00025 <span class="preprocessor">#endif</span>
<a name="l00026"></a>00026 <span class="preprocessor"></span><span class="preprocessor">#include "CCfits.h"</span>
<a name="l00027"></a>00027 <span class="preprocessor">#include "FitsError.h"</span>
<a name="l00028"></a>00028 <span class="preprocessor">#include "FITSUtil.h"</span>
<a name="l00029"></a>00029
<a name="l00030"></a>00030
<a name="l00031"></a>00031 <span class="keyword">namespace </span>CCfits {
<a name="l00032"></a>00032
<a name="l00033"></a>00033
<a name="l00034"></a>00034
<a name="l00035"></a>00035 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00036"></a>00036 <span class="keyword">class </span>Image
<a name="l00037"></a>00037 {
<a name="l00038"></a>00038
<a name="l00039"></a>00039 <span class="keyword">public</span>:
<a name="l00040"></a>00040 Image(<span class="keyword">const</span> Image< T > &right);
<a name="l00041"></a>00041 Image (<span class="keyword">const</span> std::valarray<T>& imageArray = std::valarray<T>());
<a name="l00042"></a>00042 ~Image();
<a name="l00043"></a>00043 Image< T > & operator=(<span class="keyword">const</span> Image< T > &right);
<a name="l00044"></a>00044
<a name="l00045"></a>00045 <span class="comment">// Read data reads the image if readFlag is true and</span>
<a name="l00046"></a>00046 <span class="comment">// optional keywords if supplied. Thus, with no arguments,</span>
<a name="l00047"></a>00047 <span class="comment">// readData() does nothing.</span>
<a name="l00048"></a>00048 <span class="keyword">const</span> std::valarray<T>& readImage (fitsfile* fPtr, <span class="keywordtype">long</span> first, <span class="keywordtype">long</span> nElements, T* nullValue, <span class="keyword">const</span> std::vector<long>& naxes, <span class="keywordtype">bool</span>& nulls);
<a name="l00049"></a>00049 <span class="comment">// Read data reads the image if readFlag is true and</span>
<a name="l00050"></a>00050 <span class="comment">// optional keywords if supplied. Thus, with no arguments,</span>
<a name="l00051"></a>00051 <span class="comment">// readData() does nothing.</span>
<a name="l00052"></a>00052 <span class="keyword">const</span> std::valarray<T>& readImage (fitsfile* fPtr, <span class="keyword">const</span> std::vector<long>& firstVertex, <span class="keyword">const</span> std::vector<long>& lastVertex, <span class="keyword">const</span> std::vector<long>& stride, T* nullValue, <span class="keyword">const</span> std::vector<long>& naxes, <span class="keywordtype">bool</span>& nulls);
<a name="l00053"></a>00053 <span class="comment">// Read data reads the image if readFlag is true and</span>
<a name="l00054"></a>00054 <span class="comment">// optional keywords if supplied. Thus, with no arguments,</span>
<a name="l00055"></a>00055 <span class="comment">// readData() does nothing.</span>
<a name="l00056"></a>00056 <span class="keywordtype">void</span> writeImage (fitsfile* fPtr, <span class="keywordtype">long</span> first, <span class="keywordtype">long</span> nElements, <span class="keyword">const</span> std::valarray<T>& inData, <span class="keyword">const</span> std::vector<long>& naxes, T* nullValue = 0);
<a name="l00057"></a>00057 <span class="comment">// Read data reads the image if readFlag is true and</span>
<a name="l00058"></a>00058 <span class="comment">// optional keywords if supplied. Thus, with no arguments,</span>
<a name="l00059"></a>00059 <span class="comment">// readData() does nothing.</span>
<a name="l00060"></a>00060 <span class="keywordtype">void</span> writeImage (fitsfile* fPtr, <span class="keyword">const</span> std::vector<long>& firstVertex, <span class="keyword">const</span> std::vector<long>& lastVertex, <span class="keyword">const</span> std::vector<long>& stride, <span class="keyword">const</span> std::valarray<T>& inData, <span class="keyword">const</span> std::vector<long>& naxes);
<a name="l00061"></a>00061 <span class="keywordtype">void</span> writeImage (fitsfile* fPtr, <span class="keyword">const</span> std::vector<long>& firstVertex, <span class="keyword">const</span> std::vector<long>& lastVertex, <span class="keyword">const</span> std::valarray<T>& inData, <span class="keyword">const</span> std::vector<long>& naxes);
<a name="l00062"></a>00062 <span class="keywordtype">bool</span> isRead () <span class="keyword">const</span>;
<a name="l00063"></a>00063 <span class="keywordtype">void</span> isRead (<span class="keywordtype">bool</span> value);
<a name="l00064"></a>00064 <span class="keyword">const</span> std::valarray< T >& image () <span class="keyword">const</span>;
<a name="l00065"></a>00065 <span class="keywordtype">void</span> setImage (<span class="keyword">const</span> std::valarray< T >& value);
<a name="l00066"></a>00066 <span class="keyword">const</span> T image (<span class="keywordtype">size_t</span> index) <span class="keyword">const</span>;
<a name="l00067"></a>00067 <span class="keywordtype">void</span> setImage (<span class="keywordtype">size_t</span> index, T value);
<a name="l00068"></a>00068
<a name="l00069"></a>00069 <span class="comment">// Additional Public Declarations</span>
<a name="l00070"></a>00070
<a name="l00071"></a>00071 <span class="keyword">protected</span>:
<a name="l00072"></a>00072 <span class="comment">// Additional Protected Declarations</span>
<a name="l00073"></a>00073
<a name="l00074"></a>00074 <span class="keyword">private</span>:
<a name="l00075"></a>00075 std::valarray<T>& image ();
<a name="l00076"></a>00076 <span class="keywordtype">void</span> prepareForSubset (<span class="keyword">const</span> std::vector<long>& naxes, <span class="keyword">const</span> std::vector<long>& firstVertex, <span class="keyword">const</span> std::vector<long>& lastVertex, <span class="keyword">const</span> std::vector<long>& stride, <span class="keyword">const</span> std::valarray<T>& inData, std::valarray<T>& subset);
<a name="l00077"></a>00077 <span class="keywordtype">void</span> loop (<span class="keywordtype">size_t</span> iDim, <span class="keyword">const</span> std::vector<long>& firstVertex, <span class="keyword">const</span> std::vector<long>& lastVertex, <span class="keyword">const</span> std::vector<long>& stride, <span class="keywordtype">size_t</span> iPos, <span class="keyword">const</span> std::vector<size_t>& incr, <span class="keyword">const</span> std::valarray<T>& inData, <span class="keywordtype">size_t</span>& iDat, <span class="keyword">const</span> std::vector<size_t>& subIncr, std::valarray<T>& subset, <span class="keywordtype">size_t</span> iSub);
<a name="l00078"></a>00078
<a name="l00079"></a>00079 <span class="comment">// Additional Private Declarations</span>
<a name="l00080"></a>00080
<a name="l00081"></a>00081 <span class="keyword">private</span>: <span class="comment">//## implementation</span>
<a name="l00082"></a>00082 <span class="comment">// Data Members for Class Attributes</span>
<a name="l00083"></a>00083 <span class="keywordtype">bool</span> m_isRead;
<a name="l00084"></a>00084
<a name="l00085"></a>00085 <span class="comment">// Data Members for Associations</span>
<a name="l00086"></a>00086 std::valarray< T > m_image;
<a name="l00087"></a>00087
<a name="l00088"></a>00088 <span class="comment">// Additional Implementation Declarations</span>
<a name="l00089"></a>00089
<a name="l00090"></a>00090 };
<a name="l00091"></a>00091
<a name="l00092"></a>00092 <span class="comment">// Parameterized Class CCfits::Image </span>
<a name="l00093"></a>00093
<a name="l00094"></a>00094 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00095"></a>00095 <span class="keyword">inline</span> <span class="keywordtype">bool</span> Image<T>::isRead ()<span class="keyword"> const</span>
<a name="l00096"></a>00096 <span class="keyword"> </span>{
<a name="l00097"></a>00097 <span class="keywordflow">return</span> m_isRead;
<a name="l00098"></a>00098 }
<a name="l00099"></a>00099
<a name="l00100"></a>00100 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00101"></a>00101 <span class="keyword">inline</span> <span class="keywordtype">void</span> Image<T>::isRead (<span class="keywordtype">bool</span> value)
<a name="l00102"></a>00102 {
<a name="l00103"></a>00103 m_isRead = value;
<a name="l00104"></a>00104 }
<a name="l00105"></a>00105
<a name="l00106"></a>00106 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00107"></a>00107 <span class="keyword">inline</span> <span class="keyword">const</span> std::valarray< T >& Image<T>::image ()<span class="keyword"> const</span>
<a name="l00108"></a>00108 <span class="keyword"> </span>{
<a name="l00109"></a>00109 <span class="keywordflow">return</span> m_image;
<a name="l00110"></a>00110 }
<a name="l00111"></a>00111
<a name="l00112"></a>00112 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00113"></a>00113 <span class="keyword">inline</span> <span class="keywordtype">void</span> Image<T>::setImage (<span class="keyword">const</span> std::valarray< T >& value)
<a name="l00114"></a>00114 {
<a name="l00115"></a>00115 m_image.resize(value.size());
<a name="l00116"></a>00116 m_image = value;
<a name="l00117"></a>00117 }
<a name="l00118"></a>00118
<a name="l00119"></a>00119 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00120"></a>00120 <span class="keyword">inline</span> <span class="keyword">const</span> T Image<T>::image (<span class="keywordtype">size_t</span> index)<span class="keyword"> const</span>
<a name="l00121"></a>00121 <span class="keyword"> </span>{
<a name="l00122"></a>00122 <span class="keywordflow">return</span> m_image[index];
<a name="l00123"></a>00123 }
<a name="l00124"></a>00124
<a name="l00125"></a>00125 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00126"></a>00126 <span class="keyword">inline</span> <span class="keywordtype">void</span> Image<T>::setImage (<span class="keywordtype">size_t</span> index, T value)
<a name="l00127"></a>00127 {
<a name="l00128"></a>00128 m_image[index] = value;
<a name="l00129"></a>00129 }
<a name="l00130"></a>00130
<a name="l00131"></a>00131 <span class="comment">// Parameterized Class CCfits::Image </span>
<a name="l00132"></a>00132
<a name="l00133"></a>00133 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00134"></a>00134 Image<T>::Image(<span class="keyword">const</span> Image<T> &right)
<a name="l00135"></a>00135 : m_isRead(right.m_isRead),
<a name="l00136"></a>00136 m_image(right.m_image)
<a name="l00137"></a>00137 {
<a name="l00138"></a>00138 }
<a name="l00139"></a>00139
<a name="l00140"></a>00140 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00141"></a>00141 Image<T>::Image (<span class="keyword">const</span> std::valarray<T>& imageArray)
<a name="l00142"></a>00142 : m_isRead(false),
<a name="l00143"></a>00143 m_image(imageArray)
<a name="l00144"></a>00144 {
<a name="l00145"></a>00145 }
<a name="l00146"></a>00146
<a name="l00147"></a>00147
<a name="l00148"></a>00148 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00149"></a>00149 Image<T>::~Image()
<a name="l00150"></a>00150 {
<a name="l00151"></a>00151 }
<a name="l00152"></a>00152
<a name="l00153"></a>00153
<a name="l00154"></a>00154 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00155"></a>00155 Image<T> & Image<T>::operator=(<span class="keyword">const</span> Image<T> &right)
<a name="l00156"></a>00156 {
<a name="l00157"></a>00157 <span class="comment">// all stack allocated.</span>
<a name="l00158"></a>00158 Image<T> __tmp(right);
<a name="l00159"></a>00159 std::swap(m_isRead,right.m_isRead);
<a name="l00160"></a>00160 std::swap(m_image,right.m_image);
<a name="l00161"></a>00161 <span class="keywordflow">return</span> *<span class="keyword">this</span>;
<a name="l00162"></a>00162 }
<a name="l00163"></a>00163
<a name="l00164"></a>00164
<a name="l00165"></a>00165 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00166"></a>00166 <span class="keyword">const</span> std::valarray<T>& Image<T>::readImage (fitsfile* fPtr, <span class="keywordtype">long</span> first, <span class="keywordtype">long</span> nElements, T* nullValue, <span class="keyword">const</span> std::vector<long>& naxes, <span class="keywordtype">bool</span>& nulls)
<a name="l00167"></a>00167 {
<a name="l00168"></a>00168 <span class="keyword">const</span> <span class="keywordtype">size_t</span> N(naxes.size());
<a name="l00169"></a>00169 <span class="keywordflow">if</span> (N > 0)
<a name="l00170"></a>00170 {
<a name="l00171"></a>00171 <span class="keywordtype">int</span> status(0);
<a name="l00172"></a>00172 <span class="keywordtype">int</span> any (0);
<a name="l00173"></a>00173 FITSUtil::MatchType<T> imageType;
<a name="l00174"></a>00174 <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> init(1);
<a name="l00175"></a>00175 <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> nelements(std::accumulate(naxes.begin(),naxes.end(),init,
<a name="l00176"></a>00176 std::multiplies<long>()));
<a name="l00177"></a>00177
<a name="l00178"></a>00178 <span class="comment">// truncate to valid array size if too much data asked for.</span>
<a name="l00179"></a>00179 <span class="comment">// note first is 1-based index)</span>
<a name="l00180"></a>00180 <span class="keywordtype">long</span> elementsToRead(std::min(static_cast<unsigned long>(nElements),
<a name="l00181"></a>00181 nelements - first + 1));
<a name="l00182"></a>00182 <span class="keywordflow">if</span> ( elementsToRead < nElements)
<a name="l00183"></a>00183 {
<a name="l00184"></a>00184 std::cerr <<
<a name="l00185"></a>00185 <span class="stringliteral">"***CCfits Warning: data request exceeds image size, truncating\n"</span>;
<a name="l00186"></a>00186 }
<a name="l00187"></a>00187 FITSUtil::auto_array_ptr<T> pArray(<span class="keyword">new</span> T[elementsToRead]);
<a name="l00188"></a>00188 T* array = pArray.get();
<a name="l00189"></a>00189 <span class="keywordflow">if</span> (fits_read_img(fPtr,imageType(),first,elementsToRead,
<a name="l00190"></a>00190 nullValue,array,&any,&status) != 0) <span class="keywordflow">throw</span> FitsError(status);
<a name="l00191"></a>00191 FITSUtil::FitsNullValue<T> null;
<a name="l00192"></a>00192 <span class="comment">// initialize m_image to nullValue. resize if necessary.</span>
<a name="l00193"></a>00193 <span class="keywordflow">if</span> (m_image.size() != <span class="keyword">static_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(elementsToRead))
<a name="l00194"></a>00194 {
<a name="l00195"></a>00195 m_image.resize(elementsToRead,null());
<a name="l00196"></a>00196 }
<a name="l00197"></a>00197
<a name="l00198"></a>00198 std::copy(array,array+elementsToRead,&m_image[first-1]);
<a name="l00199"></a>00199
<a name="l00200"></a>00200 nulls = (any != 0);
<a name="l00201"></a>00201 m_isRead = (first == 1 && nelements == <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">long</span><span class="keyword">></span>(nElements));
<a name="l00202"></a>00202 }
<a name="l00203"></a>00203 <span class="keywordflow">else</span>
<a name="l00204"></a>00204 {
<a name="l00205"></a>00205 m_isRead = <span class="keyword">true</span>;
<a name="l00206"></a>00206 m_image.resize(0);
<a name="l00207"></a>00207 }
<a name="l00208"></a>00208 <span class="keywordflow">return</span> m_image;
<a name="l00209"></a>00209 }
<a name="l00210"></a>00210
<a name="l00211"></a>00211 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00212"></a>00212 <span class="keyword">const</span> std::valarray<T>& Image<T>::readImage (fitsfile* fPtr, <span class="keyword">const</span> std::vector<long>& firstVertex, <span class="keyword">const</span> std::vector<long>& lastVertex, <span class="keyword">const</span> std::vector<long>& stride, T* nullValue, <span class="keyword">const</span> std::vector<long>& naxes, <span class="keywordtype">bool</span>& nulls)
<a name="l00213"></a>00213 {
<a name="l00214"></a>00214
<a name="l00215"></a>00215
<a name="l00216"></a>00216
<a name="l00217"></a>00217 FITSUtil::CVarray<long> carray;
<a name="l00218"></a>00218
<a name="l00219"></a>00219
<a name="l00220"></a>00220 <span class="keywordtype">int</span> any(0);
<a name="l00221"></a>00221 <span class="keywordtype">int</span> status(0);
<a name="l00222"></a>00222 <span class="keyword">const</span> <span class="keywordtype">size_t</span> N(naxes.size());
<a name="l00223"></a>00223
<a name="l00224"></a>00224 <span class="keywordtype">size_t</span> arraySize(1);
<a name="l00225"></a>00225
<a name="l00226"></a>00226 <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j < N; ++j)
<a name="l00227"></a>00227 {
<a name="l00228"></a>00228 arraySize *= (lastVertex[j] - firstVertex[j] + 1);
<a name="l00229"></a>00229 }
<a name="l00230"></a>00230
<a name="l00231"></a>00231 FITSUtil::auto_array_ptr<T> pArray(<span class="keyword">new</span> T[arraySize]);
<a name="l00232"></a>00232 FITSUtil::auto_array_ptr<long> pFpixel(carray(firstVertex));
<a name="l00233"></a>00233 FITSUtil::auto_array_ptr<long> pLpixel(carray(lastVertex));
<a name="l00234"></a>00234 FITSUtil::auto_array_ptr<long> pStride(carray(stride));
<a name="l00235"></a>00235
<a name="l00236"></a>00236 FITSUtil::MatchType<T> imageType;
<a name="l00237"></a>00237
<a name="l00238"></a>00238 <span class="keywordflow">if</span> (fits_read_subset(fPtr,imageType(),
<a name="l00239"></a>00239 pFpixel.get(),pLpixel.get(),
<a name="l00240"></a>00240 pStride.get(),nullValue,pArray.get(),&any,&status) != 0)
<a name="l00241"></a>00241 {
<a name="l00242"></a>00242 <span class="keywordflow">throw</span> FitsError(status);
<a name="l00243"></a>00243
<a name="l00244"></a>00244 }
<a name="l00245"></a>00245
<a name="l00246"></a>00246 <span class="keywordtype">size_t</span> n(m_image.size());
<a name="l00247"></a>00247 <span class="keywordflow">if</span> (n != arraySize) m_image.resize(arraySize);
<a name="l00248"></a>00248 m_image = std::valarray<T>(pArray.get(),arraySize);
<a name="l00249"></a>00249 <span class="comment">//size_t imageSize(std::accumulate(&naxes[0],&naxes[N],init,std::multiplies<T>() ));</span>
<a name="l00250"></a>00250 <span class="comment">// m_isRead = (startPoint == 0 && imageSize == static_cast<unsigned long>(nElements)); </span>
<a name="l00251"></a>00251 nulls = (any != 0);
<a name="l00252"></a>00252 <span class="keywordflow">return</span> m_image;
<a name="l00253"></a>00253 }
<a name="l00254"></a>00254
<a name="l00255"></a>00255 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00256"></a>00256 <span class="keywordtype">void</span> Image<T>::writeImage (fitsfile* fPtr, <span class="keywordtype">long</span> first, <span class="keywordtype">long</span> nElements, <span class="keyword">const</span> std::valarray<T>& inData, <span class="keyword">const</span> std::vector<long>& naxes, T* nullValue)
<a name="l00257"></a>00257 {
<a name="l00258"></a>00258
<a name="l00259"></a>00259
<a name="l00260"></a>00260 <span class="keywordtype">int</span> status(0);
<a name="l00261"></a>00261 <span class="keywordtype">size_t</span> init(1);
<a name="l00262"></a>00262 <span class="keywordtype">size_t</span> totalSize= <span class="keyword">static_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(std::accumulate(naxes.begin(),naxes.end(),init,std::multiplies<long>() ));
<a name="l00263"></a>00263 FITSUtil::FitsNullValue<T> null;
<a name="l00264"></a>00264 <span class="keywordflow">if</span> (m_image.size() != totalSize) m_image.resize(totalSize,null());
<a name="l00265"></a>00265 FITSUtil::CAarray<T> convert;
<a name="l00266"></a>00266 FITSUtil::auto_array_ptr<T> pArray(convert(inData));
<a name="l00267"></a>00267 T* array = pArray.get();
<a name="l00268"></a>00268
<a name="l00269"></a>00269
<a name="l00270"></a>00270 FITSUtil::MatchType<T> imageType;
<a name="l00271"></a>00271 <span class="keywordtype">long</span> type(imageType());
<a name="l00272"></a>00272
<a name="l00273"></a>00273 <span class="keywordflow">if</span> (fits_write_imgnull(fPtr,type,first,nElements,array,
<a name="l00274"></a>00274 nullValue,&status) || fits_flush_file(fPtr,&status) != 0)
<a name="l00275"></a>00275 {
<a name="l00276"></a>00276 <span class="keywordflow">throw</span> FitsError(status);
<a name="l00277"></a>00277
<a name="l00278"></a>00278 }
<a name="l00279"></a>00279
<a name="l00280"></a>00280
<a name="l00281"></a>00281
<a name="l00282"></a>00282 m_image[std::slice(first-1,nElements,1)] = inData;
<a name="l00283"></a>00283 }
<a name="l00284"></a>00284
<a name="l00285"></a>00285 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00286"></a>00286 <span class="keywordtype">void</span> Image<T>::writeImage (fitsfile* fPtr, <span class="keyword">const</span> std::vector<long>& firstVertex, <span class="keyword">const</span> std::vector<long>& lastVertex, <span class="keyword">const</span> std::vector<long>& stride, <span class="keyword">const</span> std::valarray<T>& inData, <span class="keyword">const</span> std::vector<long>& naxes)
<a name="l00287"></a>00287 {
<a name="l00288"></a>00288 <span class="comment">// input vectors' size equality will be verified in prepareForSubset.</span>
<a name="l00289"></a>00289 <span class="keyword">const</span> <span class="keywordtype">size_t</span> nDim = naxes.size();
<a name="l00290"></a>00290 FITSUtil::auto_array_ptr<long> pFPixel(<span class="keyword">new</span> <span class="keywordtype">long</span>[nDim]);
<a name="l00291"></a>00291 FITSUtil::auto_array_ptr<long> pLPixel(<span class="keyword">new</span> <span class="keywordtype">long</span>[nDim]);
<a name="l00292"></a>00292 std::valarray<T> subset;
<a name="l00293"></a>00293 prepareForSubset(naxes,firstVertex,lastVertex,stride,inData,subset);
<a name="l00294"></a>00294
<a name="l00295"></a>00295 <span class="keywordtype">long</span>* fPixel = pFPixel.get();
<a name="l00296"></a>00296 <span class="keywordtype">long</span>* lPixel = pLPixel.get();
<a name="l00297"></a>00297 <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=0; i<nDim; ++i)
<a name="l00298"></a>00298 {
<a name="l00299"></a>00299 fPixel[i] = firstVertex[i];
<a name="l00300"></a>00300 lPixel[i] = lastVertex[i];
<a name="l00301"></a>00301 }
<a name="l00302"></a>00302
<a name="l00303"></a>00303 FITSUtil::CAarray<T> convert;
<a name="l00304"></a>00304 FITSUtil::auto_array_ptr<T> pArray(convert(subset));
<a name="l00305"></a>00305 T* array = pArray.get();
<a name="l00306"></a>00306 FITSUtil::MatchType<T> imageType;
<a name="l00307"></a>00307 <span class="keywordtype">int</span> status(0);
<a name="l00308"></a>00308
<a name="l00309"></a>00309 <span class="keywordflow">if</span> ( fits_write_subset(fPtr,imageType(),fPixel,lPixel,array,&status)
<a name="l00310"></a>00310 || fits_flush_file(fPtr,&status) != 0) <span class="keywordflow">throw</span> FitsError(status);
<a name="l00311"></a>00311 }
<a name="l00312"></a>00312
<a name="l00313"></a>00313 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00314"></a>00314 std::valarray<T>& Image<T>::image ()
<a name="l00315"></a>00315 {
<a name="l00316"></a>00316
<a name="l00317"></a>00317 <span class="keywordflow">return</span> m_image;
<a name="l00318"></a>00318 }
<a name="l00319"></a>00319
<a name="l00320"></a>00320 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00321"></a>00321 <span class="keywordtype">void</span> Image<T>::prepareForSubset (<span class="keyword">const</span> std::vector<long>& naxes, <span class="keyword">const</span> std::vector<long>& firstVertex, <span class="keyword">const</span> std::vector<long>& lastVertex, <span class="keyword">const</span> std::vector<long>& stride, <span class="keyword">const</span> std::valarray<T>& inData, std::valarray<T>& subset)
<a name="l00322"></a>00322 {
<a name="l00323"></a>00323
<a name="l00324"></a>00324 <span class="comment">// naxes, firstVertex, lastVertex, and stride must all be the same size.</span>
<a name="l00325"></a>00325 <span class="keyword">const</span> <span class="keywordtype">size_t</span> N = naxes.size();
<a name="l00326"></a>00326 <span class="keywordflow">if</span> (N != firstVertex.size() || N != lastVertex.size() || N != stride.size())
<a name="l00327"></a>00327 {
<a name="l00328"></a>00328 <span class="keywordtype">string</span> errMsg(<span class="stringliteral">"*** CCfits Error: Image write function requires that naxes, firstVertex,"</span>);
<a name="l00329"></a>00329 errMsg += <span class="stringliteral">" \nlastVertex, and stride vectors all be the same size.\n"</span>;
<a name="l00330"></a>00330 <span class="keywordtype">bool</span> silent = <span class="keyword">false</span>;
<a name="l00331"></a>00331 <span class="keywordflow">throw</span> FitsException(errMsg, silent);
<a name="l00332"></a>00332 }
<a name="l00333"></a>00333 <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=0; i<N; ++i)
<a name="l00334"></a>00334 {
<a name="l00335"></a>00335 <span class="keywordflow">if</span> (naxes[i] < 1)
<a name="l00336"></a>00336 {
<a name="l00337"></a>00337 <span class="keywordtype">bool</span> silent = <span class="keyword">false</span>;
<a name="l00338"></a>00338 <span class="keywordflow">throw</span> FitsException(<span class="stringliteral">"*** CCfits Error: Invalid naxes value sent to image write function.\n"</span>, silent);
<a name="l00339"></a>00339 }
<a name="l00340"></a>00340 <span class="keywordtype">string</span> rangeErrMsg(<span class="stringliteral">"*** CCfits Error: Out-of-range value sent to image write function in arg: "</span>);
<a name="l00341"></a>00341 <span class="keywordflow">if</span> (firstVertex[i] < 1 || firstVertex[i] > naxes[i])
<a name="l00342"></a>00342 {
<a name="l00343"></a>00343 <span class="keywordtype">bool</span> silent = <span class="keyword">false</span>;
<a name="l00344"></a>00344 rangeErrMsg += <span class="stringliteral">"firstVertex\n"</span>;
<a name="l00345"></a>00345 <span class="keywordflow">throw</span> FitsException(rangeErrMsg, silent);
<a name="l00346"></a>00346 }
<a name="l00347"></a>00347 <span class="keywordflow">if</span> (lastVertex[i] < firstVertex[i] || lastVertex[i] > naxes[i])
<a name="l00348"></a>00348 {
<a name="l00349"></a>00349 <span class="keywordtype">bool</span> silent = <span class="keyword">false</span>;
<a name="l00350"></a>00350 rangeErrMsg += <span class="stringliteral">"lastVertex\n"</span>;
<a name="l00351"></a>00351 <span class="keywordflow">throw</span> FitsException(rangeErrMsg, silent);
<a name="l00352"></a>00352 }
<a name="l00353"></a>00353 <span class="keywordflow">if</span> (stride[i] < 1)
<a name="l00354"></a>00354 {
<a name="l00355"></a>00355 <span class="keywordtype">bool</span> silent = <span class="keyword">false</span>;
<a name="l00356"></a>00356 rangeErrMsg += <span class="stringliteral">"stride\n"</span>;
<a name="l00357"></a>00357 <span class="keywordflow">throw</span> FitsException(rangeErrMsg, silent);
<a name="l00358"></a>00358 }
<a name="l00359"></a>00359 }
<a name="l00360"></a>00360
<a name="l00361"></a>00361 <span class="comment">// nPoints refers to the subset of m_image INCLUDING the zero'ed elements </span>
<a name="l00362"></a>00362 <span class="comment">// resulting from the stride parameter. </span>
<a name="l00363"></a>00363 <span class="comment">// subSizeWithStride refers to the same subset, not counting the zeros.</span>
<a name="l00364"></a>00364 <span class="keywordtype">size_t</span> subSizeWithStride = 1;
<a name="l00365"></a>00365 <span class="keywordtype">size_t</span> nPoints = 1;
<a name="l00366"></a>00366 std::vector<size_t> subIncr(N);
<a name="l00367"></a>00367 <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=0; i<N; ++i)
<a name="l00368"></a>00368 {
<a name="l00369"></a>00369 subIncr[i] = nPoints;
<a name="l00370"></a>00370 nPoints *= <span class="keyword">static_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(1+lastVertex[i]-firstVertex[i]);
<a name="l00371"></a>00371 subSizeWithStride *= <span class="keyword">static_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(1+(lastVertex[i]-firstVertex[i])/stride[i]);
<a name="l00372"></a>00372 }
<a name="l00373"></a>00373 FITSUtil::FitsNullValue<T> null;
<a name="l00374"></a>00374 subset.resize(nPoints, null());
<a name="l00375"></a>00375
<a name="l00376"></a>00376 <span class="comment">// Trying to avoid at all costs an assignment between 2 valarrays of </span>
<a name="l00377"></a>00377 <span class="comment">// different sizes when m_image gets set below.</span>
<a name="l00378"></a>00378 <span class="keywordflow">if</span> (subSizeWithStride != inData.size())
<a name="l00379"></a>00379 {
<a name="l00380"></a>00380 <span class="keywordtype">bool</span> silent = <span class="keyword">false</span>;
<a name="l00381"></a>00381 <span class="keywordtype">string</span> errMsg(<span class="stringliteral">"*** CCfits Error: Data array size is not consistent with the values"</span>);
<a name="l00382"></a>00382 errMsg += <span class="stringliteral">"\n in range and stride vectors sent to the image write function.\n"</span>;
<a name="l00383"></a>00383 <span class="keywordflow">throw</span> FitsException(errMsg, silent);
<a name="l00384"></a>00384 }
<a name="l00385"></a>00385
<a name="l00386"></a>00386 <span class="keywordtype">size_t</span> startPoint = 0;
<a name="l00387"></a>00387 <span class="keywordtype">size_t</span> dimMult = 1;
<a name="l00388"></a>00388 std::vector<size_t> incr(N);
<a name="l00389"></a>00389 <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j < N; ++j)
<a name="l00390"></a>00390 {
<a name="l00391"></a>00391 startPoint += dimMult*(firstVertex[j]-1);
<a name="l00392"></a>00392 incr[j] = dimMult;
<a name="l00393"></a>00393 dimMult *= <span class="keyword">static_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(naxes[j]);
<a name="l00394"></a>00394 }
<a name="l00395"></a>00395 <span class="keyword">const</span> <span class="keywordtype">size_t</span> imageSize = dimMult;
<a name="l00396"></a>00396 m_image.resize(imageSize,null());
<a name="l00397"></a>00397
<a name="l00398"></a>00398 <span class="keywordtype">size_t</span> inDataPos = 0;
<a name="l00399"></a>00399 <span class="keywordtype">size_t</span> iSub = 0;
<a name="l00400"></a>00400 loop(N-1, firstVertex, lastVertex, stride, startPoint, incr, inData, inDataPos, subIncr, subset, iSub);
<a name="l00401"></a>00401 }
<a name="l00402"></a>00402
<a name="l00403"></a>00403 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00404"></a>00404 <span class="keywordtype">void</span> Image<T>::loop (<span class="keywordtype">size_t</span> iDim, <span class="keyword">const</span> std::vector<long>& firstVertex, <span class="keyword">const</span> std::vector<long>& lastVertex, <span class="keyword">const</span> std::vector<long>& stride, <span class="keywordtype">size_t</span> iPos, <span class="keyword">const</span> std::vector<size_t>& incr, <span class="keyword">const</span> std::valarray<T>& inData, <span class="keywordtype">size_t</span>& iDat, <span class="keyword">const</span> std::vector<size_t>& subIncr, std::valarray<T>& subset, <span class="keywordtype">size_t</span> iSub)
<a name="l00405"></a>00405 {
<a name="l00406"></a>00406 <span class="keywordtype">size_t</span> start = <span class="keyword">static_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(firstVertex[iDim]);
<a name="l00407"></a>00407 <span class="keywordtype">size_t</span> stop = <span class="keyword">static_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(lastVertex[iDim]);
<a name="l00408"></a>00408 <span class="keywordtype">size_t</span> skip = <span class="keyword">static_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(stride[iDim]);
<a name="l00409"></a>00409 <span class="keywordflow">if</span> (iDim == 0)
<a name="l00410"></a>00410 {
<a name="l00411"></a>00411 <span class="keywordtype">size_t</span> length = stop - start + 1;
<a name="l00412"></a>00412 <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=0; i<length; i+=skip)
<a name="l00413"></a>00413 {
<a name="l00414"></a>00414 m_image[i+iPos] = inData[iDat];
<a name="l00415"></a>00415 subset[i+iSub] = inData[iDat++];
<a name="l00416"></a>00416 }
<a name="l00417"></a>00417 }
<a name="l00418"></a>00418 <span class="keywordflow">else</span>
<a name="l00419"></a>00419 {
<a name="l00420"></a>00420 <span class="keywordtype">size_t</span> jump = incr[iDim]*skip;
<a name="l00421"></a>00421 <span class="keywordtype">size_t</span> subJump = subIncr[iDim]*skip;
<a name="l00422"></a>00422 <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i=start; i<=stop; i+=skip)
<a name="l00423"></a>00423 {
<a name="l00424"></a>00424 loop(iDim-1, firstVertex, lastVertex, stride, iPos, incr, inData, iDat, subIncr, subset, iSub);
<a name="l00425"></a>00425 iPos += jump;
<a name="l00426"></a>00426 iSub += subJump;
<a name="l00427"></a>00427 }
<a name="l00428"></a>00428 }
<a name="l00429"></a>00429 }
<a name="l00430"></a>00430
<a name="l00431"></a>00431 <span class="keyword">template</span> <<span class="keyword">typename</span> T>
<a name="l00432"></a>00432 <span class="keywordtype">void</span> Image<T>::writeImage (fitsfile* fPtr, <span class="keyword">const</span> std::vector<long>& firstVertex, <span class="keyword">const</span> std::vector<long>& lastVertex, <span class="keyword">const</span> std::valarray<T>& inData, <span class="keyword">const</span> std::vector<long>& naxes)
<a name="l00433"></a>00433 {
<a name="l00434"></a>00434 std::vector<long> stride(firstVertex.size(), 1);
<a name="l00435"></a>00435 writeImage(fPtr, firstVertex, lastVertex, stride, inData, naxes);
<a name="l00436"></a>00436 }
<a name="l00437"></a>00437
<a name="l00438"></a>00438 <span class="comment">// Additional Declarations</span>
<a name="l00439"></a>00439
<a name="l00440"></a>00440 } <span class="comment">// namespace CCfits</span>
<a name="l00441"></a>00441
<a name="l00442"></a>00442
<a name="l00443"></a>00443 <span class="preprocessor">#endif</span>
</pre></div></div>
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