25 #include <CCfits/CCfits> 26 #include <boost/lexical_cast.hpp> 27 #include <boost/tokenizer.hpp> 38 for (
int i=1; i<=table_hdu.numCols(); ++i) {
49 if (format[0] ==
'A') {
51 }
else if (format[0] ==
'I') {
52 return typeid(int64_t);
53 }
else if (format[0] ==
'F') {
54 return typeid(double);
55 }
else if (format[0] ==
'E') {
56 return typeid(double);
57 }
else if (format[0] ==
'D') {
58 return typeid(double);
66 char ft = format.
front();
77 }
else if (ft ==
'I') {
79 }
else if (ft ==
'J') {
81 }
else if (ft ==
'K') {
83 }
else if (ft ==
'E') {
85 }
else if (ft ==
'D') {
95 return typeid(int32_t);
98 return typeid(int32_t);
100 else if (ft ==
'J') {
101 return typeid(int32_t);
103 else if (ft ==
'K') {
104 return typeid(int64_t);
106 else if (ft ==
'E') {
107 return typeid(float);
109 else if (ft ==
'D') {
110 return typeid(double);
117 }
else if (ft ==
'I') {
119 }
else if (ft ==
'J') {
121 }
else if (ft ==
'K') {
123 }
else if (ft ==
'E') {
125 }
else if (ft ==
'D') {
127 }
else if (ft ==
'A') {
138 auto subtdim = tdim.
substr(1, tdim.
size() - 2);
139 boost::char_separator<char> sep{
","};
140 boost::tokenizer<boost::char_separator<char>> tok{subtdim, sep};
141 for (
auto&
s : tok) {
142 result.push_back(boost::lexical_cast<size_t>(
s));
152 for (
int i=1; i<=table_hdu.numCols(); i++) {
153 auto& column = table_hdu.column(i);
155 if (
typeid(table_hdu) ==
typeid(CCfits::BinTable)) {
167 for (
int i=1; i<=table_hdu.numCols(); ++i) {
168 units.
push_back(table_hdu.column(i).unit());
175 for (
int i=1; i<=table_hdu.numCols(); ++i) {
178 if (key != table_hdu.keyWord().end()) {
179 key->second->value(desc);
181 descriptions.push_back(desc);
189 column.read(data, first, last);
191 for (
auto value : data) {
200 column.readArrays(data, first, last);
202 for (
auto& valar : data) {
211 column.readArrays(data, first, last);
215 for (
auto& valar : data) {
226 if (type ==
typeid(
bool)) {
227 return convertScalarColumn<bool>(column, first, last);
228 }
else if (type ==
typeid(int32_t)) {
229 return convertScalarColumn<int32_t>(column, first, last);
230 }
else if (type ==
typeid(int64_t)) {
231 return convertScalarColumn<int64_t>(column, first, last);
232 }
else if (type ==
typeid(
float)) {
233 return convertScalarColumn<float>(column, first, last);
234 }
else if (type ==
typeid(
double)) {
235 return convertScalarColumn<double>(column, first, last);
237 return convertScalarColumn<std::string>(column, first, last);
239 return convertVectorColumn<int32_t>(column, first, last);
241 return convertVectorColumn<int64_t>(column, first, last);
243 return convertVectorColumn<float>(column, first, last);
245 return convertVectorColumn<double>(column, first, last);
247 return convertNdArrayColumn<int32_t>(column, first, last);
249 return convertNdArrayColumn<int64_t>(column, first, last);
251 return convertNdArrayColumn<float>(column, first, last);
253 return convertNdArrayColumn<double>(column, first, last);
std::vector< Row::cell_type > convertVectorColumn(CCfits::Column &column, long first, long last)
std::type_index binaryFormatToType(const std::string &format, const std::vector< size_t > &shape)
NdArray(const std::vector< size_t > &shape)
std::type_index asciiFormatToType(const std::string &format)
std::map< std::string, ColumnDescription > autoDetectColumnDescriptions(std::istream &in, const std::string &comment)
Reads the column descriptions of the given stream.
std::vector< size_t > parseTDIM(const std::string &tdim)
std::vector< Row::cell_type > translateColumn(CCfits::Column &column, std::type_index type)
Returns a vector representing the given FITS table column data, converted to the requested type...
std::vector< Row::cell_type > convertScalarColumn(CCfits::Column &column, long first, long last)
std::vector< Row::cell_type > convertNdArrayColumn(CCfits::Column &column, long first, long last)
std::vector< std::string > autoDetectColumnUnits(const CCfits::Table &table_hdu)
Reads the column units based on the TUNITn keyword.
std::vector< std::type_index > autoDetectColumnTypes(const CCfits::Table &table_hdu)
Reads the column types of the given table HDU.
std::vector< std::string > autoDetectColumnNames(std::istream &in, const std::string &comment, size_t columns_number)
Reads the column names of the given stream.