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1 : //# Copyright (C) 1996,1997,1998,1999,2000,2002,2003,2015 2 : //# Associated Universities, Inc. Washington DC, USA. 3 : //# 4 : //# This library is free software; you can redistribute it and/or modify it 5 : //# under the terms of the GNU Library General Public License as published by 6 : //# the Free Software Foundation; either version 2 of the License, or (at your 7 : //# option) any later version. 8 : //# 9 : //# This library is distributed in the hope that it will be useful, but WITHOUT 10 : //# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or 11 : //# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Library General Public 12 : //# License for more details. 13 : //# 14 : //# You should have received a copy of the GNU Library General Public License 15 : //# along with this library; if not, write to the Free Software Foundation, 16 : //# Inc., 675 Massachusetts Ave, Cambridge, MA 02139, USA. 17 : //# 18 : //# Correspondence concerning AIPS++ should be addressed as follows: 19 : //# Internet email: aips2-request@nrao.edu. 20 : //# Postal address: AIPS++ Project Office 21 : //# National Radio Astronomy Observatory 22 : //# 520 Edgemont Road 23 : //# Charlottesville, VA 22903-2475 USA 24 : //# 25 : // 26 : // Data provider mask iterators, based on a flag column. 27 : // 28 : #include <casacore/casa/Arrays/Cube.h> 29 : #include <casacore/casa/Arrays/Vector.h> 30 : #include <msvis/MSVis/statistics/Vi2StatsFlagsIterator.h> 31 : 32 : using namespace casacore; 33 : namespace casa { 34 : 35 0 : Vi2StatsFlagsCubeIterator::Vi2StatsFlagsCubeIterator(vi::VisBuffer2 *vb2) 36 : { 37 0 : if (vb2->existsColumn(vi::VisBufferComponent2::FlagCube)) { 38 0 : flags_array = &vb2->flagCube(); 39 0 : expansion_factor = 1; 40 : } else { 41 0 : flags_array = &vb2->flagRow(); 42 0 : expansion_factor = vb2->nChannels() * vb2->nCorrelations(); 43 : } 44 0 : flags_iter = flags_array->begin(); 45 0 : end_iter = flags_array->end(); 46 0 : replicate_count = expansion_factor; 47 0 : } 48 : 49 0 : Vi2StatsFlagsCubeIterator::Vi2StatsFlagsCubeIterator() 50 0 : : Vi2StatsFlagsIterator() {} 51 : 52 : Vi2StatsFlagsCubeIterator& 53 0 : Vi2StatsFlagsCubeIterator::operator++() 54 : { 55 0 : --replicate_count; 56 0 : if (replicate_count == 0) { 57 0 : ++flags_iter; 58 0 : replicate_count = expansion_factor; 59 : } 60 0 : return *this; 61 : } 62 : 63 : Vi2StatsFlagsCubeIterator 64 0 : Vi2StatsFlagsCubeIterator::operator++(int) 65 : { 66 0 : Vi2StatsFlagsCubeIterator tmp(*this); 67 0 : operator++(); 68 0 : return tmp; 69 : } 70 : 71 : bool 72 0 : Vi2StatsFlagsCubeIterator::operator==(const Vi2StatsFlagsCubeIterator& rhs) 73 : { 74 0 : return (flags_iter == rhs.flags_iter 75 0 : && replicate_count == rhs.replicate_count); 76 : } 77 : 78 : bool 79 0 : Vi2StatsFlagsCubeIterator::operator!=(const Vi2StatsFlagsCubeIterator& rhs) 80 : { 81 0 : return (flags_iter != rhs.flags_iter 82 0 : || replicate_count != rhs.replicate_count); 83 : } 84 : 85 : Bool 86 0 : Vi2StatsFlagsCubeIterator::operator*() { 87 : // Since this class is intended to be used in a StatsDataProvider instance, 88 : // and StatisticsAlgorithm classes expect a "True" mask value to indicate a 89 : // valid sample, the value returned by this method must be the inverted 90 : // value of the current flag value. 91 0 : return !*flags_iter; 92 : } 93 : 94 : bool 95 0 : Vi2StatsFlagsCubeIterator::atEnd() 96 : { 97 0 : return flags_iter == end_iter; 98 : } 99 : 100 : 101 : 102 0 : Vi2StatsFlagsRowIterator::Vi2StatsFlagsRowIterator(vi::VisBuffer2 *vb2) 103 : { 104 0 : if (vb2->existsColumn(vi::VisBufferComponent2::FlagCube)) { 105 0 : flags_array = &vb2->flagCube(); 106 0 : reduction_factor = vb2->nChannels() * vb2->nCorrelations(); 107 : } else { 108 0 : flags_array = &vb2->flagRow(); 109 0 : reduction_factor = 1; 110 : } 111 0 : flags_iter = flags_array->begin(); 112 0 : end_iter = flags_array->end(); 113 0 : prepareNextRow(); 114 0 : } 115 : 116 0 : Vi2StatsFlagsRowIterator::Vi2StatsFlagsRowIterator() 117 0 : : Vi2StatsFlagsIterator() {} 118 : 119 : Vi2StatsFlagsRowIterator& 120 0 : Vi2StatsFlagsRowIterator::operator++() 121 : { 122 0 : prepareNextRow(); 123 0 : return *this; 124 : } 125 : 126 : Vi2StatsFlagsRowIterator 127 0 : Vi2StatsFlagsRowIterator::operator++(int) 128 : { 129 0 : Vi2StatsFlagsRowIterator tmp(*this); 130 0 : operator++(); 131 0 : return tmp; 132 : } 133 : 134 : bool 135 0 : Vi2StatsFlagsRowIterator::operator==(const Vi2StatsFlagsRowIterator& rhs) 136 : { 137 0 : return flags_iter == rhs.flags_iter; 138 : } 139 : 140 : bool 141 0 : Vi2StatsFlagsRowIterator::operator!=(const Vi2StatsFlagsRowIterator& rhs) 142 : { 143 0 : return flags_iter != rhs.flags_iter; 144 : } 145 : 146 : Bool 147 0 : Vi2StatsFlagsRowIterator::operator*() { 148 : // Since this class is intended to be used in a StatsDataProvider instance, 149 : // and StatisticsAlgorithm classes expect a "True" mask value to indicate a 150 : // valid sample, the value returned by this method must be the inverted 151 : // value of the current flag value. 152 0 : return !rowFlag; 153 : } 154 : 155 : bool 156 0 : Vi2StatsFlagsRowIterator::atEnd() 157 : { 158 0 : return flags_iter == end_iter; 159 : } 160 : 161 : void 162 0 : Vi2StatsFlagsRowIterator::prepareNextRow() { 163 0 : rowFlag = *flags_iter; 164 0 : for (uInt n = reduction_factor - 1; n > 0; --n) { 165 0 : ++flags_iter; 166 0 : rowFlag = rowFlag && *flags_iter; 167 : } 168 0 : ++flags_iter; 169 0 : } 170 : 171 : using namespace casacore; 172 : } // namespace casa