[med-svn] [mia] 02/04: add spellcheck patch
Gert Wollny
gert-guest at moszumanska.debian.org
Wed Jul 27 22:11:44 UTC 2016
This is an automated email from the git hooks/post-receive script.
gert-guest pushed a commit to branch master
in repository mia.
commit 47f6ccdb0b9b44ce866420f024f0552cfdff6979
Author: Gert Wollny <gw.fossdev at gmail.com>
Date: Wed Jul 27 20:50:40 2016 +0000
add spellcheck patch
---
debian/patches/mia_242_spellcheck.patch | 419 ++++++++++++++++++++++++++++++++
debian/patches/series | 1 +
2 files changed, 420 insertions(+)
diff --git a/debian/patches/mia_242_spellcheck.patch b/debian/patches/mia_242_spellcheck.patch
new file mode 100644
index 0000000..9c40027
--- /dev/null
+++ b/debian/patches/mia_242_spellcheck.patch
@@ -0,0 +1,419 @@
+diff --git a/addons/dicom/dcm3d.cc b/addons/dicom/dcm3d.cc
+index 925831d..18dd317 100644
+--- a/addons/dicom/dcm3d.cc
++++ b/addons/dicom/dcm3d.cc
+@@ -88,7 +88,7 @@ struct image_instance_less {
+
+ typedef priority_queue<P2DImage, vector<P2DImage>, image_instance_less> CImageInstances;
+ typedef map<PAttribute, CImageInstances, attr_less> CImageSeries;
+-typedef map<PAttribute, CImageSeries, attr_less> CAquisitions;
++typedef map<PAttribute, CImageSeries, attr_less> CAcquisitions;
+
+ struct C3DImageCreator: public TFilter<bool> {
+ C3DImageCreator(size_t nz): m_nz(nz),
+@@ -194,7 +194,7 @@ C3DImageIOPlugin::PData CDicom3DImageIOPlugin::get_images(const vector<P2DImage>
+
+ PData result(new Data);
+
+- CAquisitions acc;
++ CAcquisitions acc;
+
+ // read all the images into a map
+ for(auto i = candidates.begin(); i != candidates.end(); ++i) {
+@@ -205,7 +205,7 @@ C3DImageIOPlugin::PData CDicom3DImageIOPlugin::get_images(const vector<P2DImage>
+ [(*i)->get_attribute(IDSeriesNumber)].push(*i);
+ }else{
+ cvwarn() << "Discard image because of no "
+- << ((*i)->has_attribute(IDAcquisitionNumber) ? "" : "aquisition")
++ << ((*i)->has_attribute(IDAcquisitionNumber) ? "" : "acquisition")
+ << ((*i)->has_attribute(IDInstanceNumber) ? "" : "instance")
+ << ((*i)->has_attribute(IDSeriesNumber) ? "" : "series")
+ << " number\n";
+diff --git a/mia/2d/filter/meanvar.cc b/mia/2d/filter/meanvar.cc
+index f2055fd..33ca2db 100644
+--- a/mia/2d/filter/meanvar.cc
++++ b/mia/2d/filter/meanvar.cc
+@@ -140,8 +140,8 @@ C2DMeanVarImageFilterFactory::C2DMeanVarImageFilterFactory():
+ m_thresh(0.0)
+ {
+ add_parameter("w", make_lc_param(m_hw, 1, false, "filter width parameter"));
+- add_parameter("thresh", make_lc_param(m_thresh, 0.0, false, "Intensity threshholding parameter: Pixels with intensities "
+- "below this threshhold will be set to zero, and also not used when evaluating mean "
++ add_parameter("thresh", make_lc_param(m_thresh, 0.0, false, "Intensity thresholding parameter: Pixels with intensities "
++ "below this threshold will be set to zero, and also not used when evaluating mean "
+ "and variation"));
+ add_parameter("varfile", new CStringParameter(m_varfilename, CCmdOptionFlags::required_output,
+ "name of the output file to save the variation image too.",
+diff --git a/mia/2d/filter/medianmad.cc b/mia/2d/filter/medianmad.cc
+index 8ecabff..370e2f0 100644
+--- a/mia/2d/filter/medianmad.cc
++++ b/mia/2d/filter/medianmad.cc
+@@ -153,8 +153,8 @@ C2DMedianMadImageFilterFactory::C2DMedianMadImageFilterFactory():
+ m_thresh(0.0)
+ {
+ add_parameter("w", make_lc_param(m_hw, 1, false, "filter width parameter"));
+- add_parameter("thresh", make_lc_param(m_thresh, 0.0, false, "Intensity threshholding parameter: Pixels with intensities "
+- "below this threshhold will be set to zero, and also not used when evaluating mean "
++ add_parameter("thresh", make_lc_param(m_thresh, 0.0, false, "Intensity thresholding parameter: Pixels with intensities "
++ "below this threshold will be set to zero, and also not used when evaluating mean "
+ "and variation"));
+ add_parameter("madfile", new CStringParameter(m_madfilename, CCmdOptionFlags::required_output,
+ "name of the output file to save the median absolute deviation image too.",
+diff --git a/mia/2d/filter/tmean.cc b/mia/2d/filter/tmean.cc
+index 8ae27ee..20d2008 100644
+--- a/mia/2d/filter/tmean.cc
++++ b/mia/2d/filter/tmean.cc
+@@ -132,8 +132,8 @@ C2DFilter *C2DTmeanFilterPlugin::do_create()const
+ const string C2DTmeanFilterPlugin::do_get_descr()const
+ {
+ return "2D image thresholded tmean filter: The output pixel value is zero if the input pixel "
+- "value is below the given threshhold, otherwise the pixels in the evaluation windows "
+- "are only considered if the input pixel intensity is above the threshhold.";
++ "value is below the given threshold, otherwise the pixels in the evaluation windows "
++ "are only considered if the input pixel intensity is above the threshold.";
+ }
+
+ extern "C" EXPORT CPluginBase *get_plugin_interface()
+diff --git a/mia/2d/transform/test_spline.cc b/mia/2d/transform/test_spline.cc
+index 6b8564a..a0dc8d2 100644
+--- a/mia/2d/transform/test_spline.cc
++++ b/mia/2d/transform/test_spline.cc
+@@ -414,7 +414,7 @@ BOOST_FIXTURE_TEST_CASE( test_splines_pertuberate, TransformSplineFixture )
+
+ fill(v.begin(), v.end(), vv);
+
+- // this location is hand-picked and is not really the position ofthe maximun
++ // this location is hand-picked and is not really the position of the maximun
+ // but only an approximation
+ float gamma = stransf.pertuberate(v);
+ C2DFVector lmg(12* scalex, 27 * scaley);
+diff --git a/mia/3d/fifof/rgg.cc b/mia/3d/fifof/rgg.cc
+index c97eeee..fbc43d3 100644
+--- a/mia/3d/fifof/rgg.cc
++++ b/mia/3d/fifof/rgg.cc
+@@ -162,12 +162,12 @@ C2DRGGStackFilterFactory::C2DRGGStackFilterFactory():
+ {
+ add_parameter("map", new CStringParameter(m_seed_map, CCmdOptionFlags::required_input, "class probability map"));
+ add_parameter("st", new CFloatParameter(m_seed_thresh, 0.0, 1.0,
+- false, "seed probability threshhold"));
++ false, "seed probability threshold"));
+ add_parameter("depth", new CIntParameter(m_depth, 1, 30,
+ false, "number of slices to keep during processing"));
+ add_parameter("gt", new CFloatParameter(m_gradient_thresh, 4.0,
+ numeric_limits<float>::max(),
+- false, "gradient threshhold"));
++ false, "gradient threshold"));
+ }
+
+
+diff --git a/mia/3d/filter/growmask.cc b/mia/3d/filter/growmask.cc
+index 185aeae..aec4963 100644
+--- a/mia/3d/filter/growmask.cc
++++ b/mia/3d/filter/growmask.cc
+@@ -177,7 +177,7 @@ C3DDoGrowmask::result_type C3DDoGrowmask::operator () (const T3DImage<T>& data)
+ queue <seed_t<T> > pool;
+
+ if (data.get_size() != m_start_mask.get_size())
+- throw invalid_argument("C3DGrowmask::filter: seed mask and reference must be ofthe same size");
++ throw invalid_argument("C3DGrowmask::filter: seed mask and reference must be of the same size");
+ C3DBitImage *r = new C3DBitImage(m_start_mask);
+ r->set_attributes(data.begin_attributes(), data.end_attributes());
+ P3DImage result(r);
+diff --git a/mia/3d/transform/spline.cc b/mia/3d/transform/spline.cc
+index 4ebcf5f..2d8541c 100644
+--- a/mia/3d/transform/spline.cc
++++ b/mia/3d/transform/spline.cc
+@@ -999,7 +999,7 @@ C3DSplineTransformCreatorPlugin::C3DSplineTransformCreatorPlugin():
+ "will be overwritten by the 'rate' value."));
+
+ add_parameter("debug",
+- new CBoolParameter(m_debug, false, "enable additional debuging output"));
++ new CBoolParameter(m_debug, false, "enable additional debugging output"));
+ add_parameter("penalty", make_param(m_penalty, "", false, "transformation penalty energy term"));
+
+ }
+diff --git a/mia/3d/transform/test_spline.cc b/mia/3d/transform/test_spline.cc
+index 67be069..f065978 100644
+--- a/mia/3d/transform/test_spline.cc
++++ b/mia/3d/transform/test_spline.cc
+@@ -556,7 +556,7 @@ BOOST_FIXTURE_TEST_CASE( test_splines_pertuberate, TransformSplineFixture )
+
+ fill(v.begin(), v.end(), vv);
+
+- // this location is hand-picked and is not really the position ofthe maximun
++ // this location is hand-picked and is not really the position of the maximun
+ // but only an approximation
+ float gamma = stransf.pertuberate(v);
+ C3DFVector lmg(12* scalex, 27 * scaley);
+diff --git a/mia/core/fftslopeclassifier.cc b/mia/core/fftslopeclassifier.cc
+index 84a19e7..0fe7b5d 100644
+--- a/mia/core/fftslopeclassifier.cc
++++ b/mia/core/fftslopeclassifier.cc
+@@ -215,7 +215,7 @@ CFFTSlopeClassifierImpl::CFFTSlopeClassifierImpl(const CFFTSlopeClassifier::Colu
+
+
+ /* mechanics for classifying the mixing curves:
+- - sort the slopes that are below the periodic threshhold for high range and eliminate the
++ - sort the slopes that are below the periodic threshold for high range and eliminate the
+ other curves, they are perfusion or baseline
+ - sort these two curves by the order in which the high peaks appear to identify
+ which is RV (peak comes first) and which LV
+diff --git a/src/2deval-transformquantity.cc b/src/2deval-transformquantity.cc
+index b0f7c83..e00ddca 100644
+--- a/src/2deval-transformquantity.cc
++++ b/src/2deval-transformquantity.cc
+@@ -160,7 +160,7 @@ int do_main( int argc, char *argv[] )
+ options.set_group("\nFile-IO");
+ options.add(make_opt( in_filename, "in-file", 'i',
+ "input point set, if this parameter is given a sparse evaluation "
+- "of the quantity will be done, otherwise the quantity is evalutated "
++ "of the quantity will be done, otherwise the quantity is evaluated "
+ "for each grid point of the transformation range.", CCmdOptionFlags::required_input));
+ options.add(make_opt( out_filename, "out-file", 'o',
+ "output strains file, for a format description see above.", CCmdOptionFlags::required_output));
+diff --git a/src/2dgroundtruthreg.cc b/src/2dgroundtruthreg.cc
+index 3695512..dc141d4 100644
+--- a/src/2dgroundtruthreg.cc
++++ b/src/2dgroundtruthreg.cc
+@@ -45,7 +45,7 @@ const SProgramDescription g_description = {
+ {pdi_short, "Registration of a series of 2D images"},
+ {pdi_description, "This program implements the non-linear registration based on Pseudo "
+ "Ground Thruth for motion compensation of series of myocardial perfusion images as "
+- "decribed in Chao Li and Ying Sun, 'Nonrigid Registration of Myocardial Perfusion "
++ "described in Chao Li and Ying Sun, 'Nonrigid Registration of Myocardial Perfusion "
+ "MRI Using Pseudo Ground Truth' , In Proc. Medical Image Computing and Computer-Assisted "
+ "Intervention MICCAI 2009, 165-172, 2009. Note that for this nonlinear motion correction "
+ "a preceding linear registration step is usually required."},
+diff --git a/src/2dmyoica-nonrigid-parallel.cc b/src/2dmyoica-nonrigid-parallel.cc
+index 0475779..929bfe4 100644
+--- a/src/2dmyoica-nonrigid-parallel.cc
++++ b/src/2dmyoica-nonrigid-parallel.cc
+@@ -199,7 +199,7 @@ float get_relative_min_breathing_frequency(const C2DImageSeries& images, int ski
+ double aq_time = image_end->get_attribute_as<double>(IDAcquisitionTime) -
+ image_begin->get_attribute_as<double>(IDAcquisitionTime);
+ if (aq_time < 0)
+- throw create_exception<runtime_error>("Got non-postive aquisition time range ", aq_time,
++ throw create_exception<runtime_error>("Got non-postive acquisition time range ", aq_time,
+ ", can't handle this");
+
+ double heart_rate = 60 * n_heartbeats / aq_time;
+diff --git a/src/2dmyoica-nonrigid.cc b/src/2dmyoica-nonrigid.cc
+index 0c9fc55..3e79a16 100644
+--- a/src/2dmyoica-nonrigid.cc
++++ b/src/2dmyoica-nonrigid.cc
+@@ -163,7 +163,7 @@ float get_relative_min_breathing_frequency(const C2DImageSeries& images, int ski
+ double aq_time = image_end->get_attribute_as<double>(IDAcquisitionTime) -
+ image_begin->get_attribute_as<double>(IDAcquisitionTime);
+ if (aq_time < 0)
+- throw create_exception<runtime_error>("Got non-postive aquisition time range ", aq_time,
++ throw create_exception<runtime_error>("Got non-postive acquisition time range ", aq_time,
+ ", can't handle this");
+
+ double heart_rate = 60 * n_heartbeats / aq_time;
+diff --git a/src/2dmyoicapgt.cc b/src/2dmyoicapgt.cc
+index 40f8ede..e744886 100644
+--- a/src/2dmyoicapgt.cc
++++ b/src/2dmyoicapgt.cc
+@@ -336,7 +336,7 @@ float get_relative_min_breathing_frequency(const C2DImageSeries& images, int ski
+ double aq_time = image_end->get_attribute_as<double>(IDAcquisitionTime) -
+ image_begin->get_attribute_as<double>(IDAcquisitionTime);
+ if (aq_time < 0)
+- throw create_exception<runtime_error>("Got non-postive aquisition time range ", aq_time,
++ throw create_exception<runtime_error>("Got non-postive acquisition time range ", aq_time,
+ ", can't handle this");
+
+ double heart_rate = 60 * n_heartbeats / aq_time;
+diff --git a/src/2dmyopgt-nonrigid.cc b/src/2dmyopgt-nonrigid.cc
+index 212eafc..dab8d2e 100644
+--- a/src/2dmyopgt-nonrigid.cc
++++ b/src/2dmyopgt-nonrigid.cc
+@@ -44,7 +44,7 @@ const SProgramDescription g_description = {
+ {pdi_short, "Run a registration of a series of 2D images."},
+ {pdi_description, "This program implements the non-linear registration based on Pseudo Ground "
+ "Thruth for motion compensation of series of myocardial perfusion images given as a "
+- "data set as decribed in Chao Li and Ying Sun, 'Nonrigid Registration of Myocardial Perfusion "
++ "data set as described in Chao Li and Ying Sun, 'Nonrigid Registration of Myocardial Perfusion "
+ "MRI Using Pseudo Ground Truth' , In Proc. Medical Image Computing and Computer-Assisted "
+ "Intervention MICCAI 2009, 165-172, 2009. Note that for this nonlinear motion correction "
+ "a preceding linear registration step is usually required."},
+diff --git a/src/2dsegment-local-cmeans.cc b/src/2dsegment-local-cmeans.cc
+index a8a3cb4..fce6bc8 100644
+--- a/src/2dsegment-local-cmeans.cc
++++ b/src/2dsegment-local-cmeans.cc
+@@ -44,9 +44,9 @@ const SProgramDescription g_description = {
+ "in the image. The approach evaluates a global c-means clustering, and then "
+ "separates the image into overlapping regions where more c-means iterations "
+ "are run only including the locally present classes, i.e. the classes that "
+- "relatively contain more pixels than a given threshhold."},
++ "relatively contain more pixels than a given threshold."},
+ {pdi_example_descr, "Run the segmentation on image test.png using three classes, "
+- "local regions of 40 pixels (grid width 20 pixels), and a class ignore threshhold of 0.01." },
++ "local regions of 40 pixels (grid width 20 pixels), and a class ignore threshold of 0.01." },
+ {pdi_example_code, "-i test.png -o label.png -n 3 -g 20 -t 0.01"}
+ };
+
+@@ -148,7 +148,7 @@ int do_main(int argc, char *argv[])
+ opts.add(make_opt( cmeans_epsilon, EParameterBounds::bf_min_open,
+ {0.0}, "c-means-epsilon", 'e', "c-means breaking condition for update tolerance"));
+ opts.add(make_opt( rel_cluster_threshold, EParameterBounds::bf_min_closed | EParameterBounds::bf_max_open,
+- {0.0,1.0}, "relative-cluster-threshhold", 't', "Number of intensity classes to segment"));
++ {0.0,1.0}, "relative-cluster-threshold", 't', "Number of intensity classes to segment"));
+
+
+ if (opts.parse(argc, argv) != CCmdOptionList::hr_no)
+diff --git a/src/2dsegment-local-kmeans.cc b/src/2dsegment-local-kmeans.cc
+index c2a444c..a2210ad 100644
+--- a/src/2dsegment-local-kmeans.cc
++++ b/src/2dsegment-local-kmeans.cc
+@@ -43,9 +43,9 @@ const SProgramDescription g_description = {
+ "in the image. The approach evaluates a global k-means clustering, and then "
+ "separates the image into overlapping regions where more k-means iterations "
+ "are run only including the locally present classes, i.e. the classes that "
+- "relatively contain more pixels than a given threshhold."},
++ "relatively contain more pixels than a given threshold."},
+ {pdi_example_descr, "Run the segmentation on image test.png using three classes, "
+- "local regions of 40 pixels (grid width 20 pixels), and a class ignore threshhold of 0.01." },
++ "local regions of 40 pixels (grid width 20 pixels), and a class ignore threshold of 0.01." },
+ {pdi_example_code, "-i test.png -o label.png -n 3 -g 20 -t 0.01"}
+ };
+
+@@ -110,7 +110,7 @@ int do_main(int argc, char *argv[])
+ opts.add(make_opt( n_classes, EParameterBounds::bf_closed_interval, {2u,127u},
+ "nclasses", 'n', "Number of intensity classes to segment"));
+ opts.add(make_opt( rel_cluster_threshold, EParameterBounds::bf_min_closed | EParameterBounds::bf_max_open,
+- {0.0,1.0}, "relative-cluster-threshhold", 't', "Number of intensity classes to segment"));
++ {0.0,1.0}, "relative-cluster-threshold", 't', "Number of intensity classes to segment"));
+
+
+
+diff --git a/src/2dsegment-per-pixel-kmeans.cc b/src/2dsegment-per-pixel-kmeans.cc
+index 1098e37..e60ec24 100644
+--- a/src/2dsegment-per-pixel-kmeans.cc
++++ b/src/2dsegment-per-pixel-kmeans.cc
+@@ -45,9 +45,9 @@ const SProgramDescription g_description = {
+ "in the image. The approach evaluates a global k-means clustering, and then "
+ "separates the image into overlapping regions where more k-means iterations "
+ "are run only including the locally present classes, i.e. the classes that "
+- "relatively contain more pixels than a given threshhold."},
++ "relatively contain more pixels than a given threshold."},
+ {pdi_example_descr, "Run the segmentation on image test.png using three classes, "
+- "local regions of 40 pixels (grid width 20 pixels), and a class ignore threshhold of 0.01." },
++ "local regions of 40 pixels (grid width 20 pixels), and a class ignore threshold of 0.01." },
+ {pdi_example_code, "-i test.png -o label.png -n 3 -g 20 -t 0.01"}
+ };
+
+@@ -106,7 +106,7 @@ int do_main(int argc, char *argv[])
+ opts.add(make_opt( n_classes, EParameterBounds::bf_closed_interval, {2u,127u},
+ "nclasses", 'n', "Number of intensity classes to segment"));
+ opts.add(make_opt( rel_cluster_threshold, EParameterBounds::bf_min_closed | EParameterBounds::bf_max_open,
+- {0.0,1.0}, "relative-cluster-threshhold", 't', "Number of intensity classes to segment"));
++ {0.0,1.0}, "relative-cluster-threshold", 't', "Number of intensity classes to segment"));
+
+
+
+diff --git a/src/2dseries2sets.cc b/src/2dseries2sets.cc
+index e7220af..d23bcbd 100644
+--- a/src/2dseries2sets.cc
++++ b/src/2dseries2sets.cc
+@@ -41,9 +41,9 @@ const SProgramDescription g_description = {
+ "Used information is the z-location of the slice and the acquisition number. "
+ "The code is taylored to used the according descriptors defined in the DICOM standard. "
+ "All images with the same slice location will be grouped together in one segmentation "
+- "set and ordered according to their aquisition number. "
++ "set and ordered according to their acquisition number. "
+ "Slice locations are rounded to three digits accuracy to make proper comparison "
+- "of floating point values feasable."},
++ "of floating point values feasible."},
+ {pdi_example_descr, "Create the segmentation sets from a series of DICOM images and "
+ "copy the files to the output directory (copying is the default)."},
+ {pdi_example_code, "-o /home/user/series /net/dicoms/patient1/series1/*.dcm"}
+@@ -60,8 +60,8 @@ vector<C2DImageVectorWithName> separate_slices(const C2DImageVectorWithName &ima
+ // collect series
+ // \todo maybe one should also look for SeriesNumber
+ typedef map<int, SImage> InstanceSeries;
+- typedef map<int, InstanceSeries> AquisitionSeries;
+- map<float, AquisitionSeries> series;
++ typedef map<int, InstanceSeries> AcquisitionSeries;
++ map<float, AcquisitionSeries> series;
+ int aq_number = 0;
+ int is_number = 0;
+ for (auto i = images.begin(); i != images.end(); ++i) {
+@@ -74,10 +74,10 @@ vector<C2DImageVectorWithName> separate_slices(const C2DImageVectorWithName &ima
+ }
+ if (series.find(slice_location) == series.end()) {
+ cvmsg() << "Add location " << slice_location << "\n";
+- series[slice_location] = AquisitionSeries();
++ series[slice_location] = AcquisitionSeries();
+ }
+
+- AquisitionSeries& aqs = series[slice_location];
++ AcquisitionSeries& aqs = series[slice_location];
+
+ auto pAcquisitionNumber = dynamic_cast<const CIntAttribute *>(i->first->get_attribute(IDAcquisitionNumber).get());
+ if (pAcquisitionNumber) {
+@@ -85,7 +85,7 @@ vector<C2DImageVectorWithName> separate_slices(const C2DImageVectorWithName &ima
+ }else {
+ ++aq_number;
+ }
+- cvmsg() << "Add aquisition " << aq_number << "\n";
++ cvmsg() << "Add acquisition " << aq_number << "\n";
+
+ if (aqs.find(aq_number) == aqs.end()) {
+ aqs[aq_number] = InstanceSeries();
+@@ -102,7 +102,7 @@ vector<C2DImageVectorWithName> separate_slices(const C2DImageVectorWithName &ima
+ cvmsg() << "Add instance " << is_number << "\n";
+
+ if (is.find(is_number) != is.end()) {
+- cvwarn() << "got duplicate slice aquisition/instance/location = "
++ cvwarn() << "got duplicate slice acquisition/instance/location = "
+ << aq_number << "/" << is_number << "/" << slice_location
+ << ", Ignoring this slice\n";
+ }else {
+diff --git a/src/3deval-transformquantity.cc b/src/3deval-transformquantity.cc
+index ff96582..911273f 100644
+--- a/src/3deval-transformquantity.cc
++++ b/src/3deval-transformquantity.cc
+@@ -160,7 +160,7 @@ int do_main( int argc, char *argv[] )
+ options.set_group("\nFile-IO");
+ options.add(make_opt( in_filename, "in-file", 'i',
+ "input point set, if this parameter is given a sparse evaluation "
+- "of the quantity will be done, otherwise the quantity is evalutated "
++ "of the quantity will be done, otherwise the quantity is evaluated "
+ "for each grid point of the transformation range.", CCmdOptionFlags::input));
+ options.add(make_opt( out_filename, "out-file", 'o',
+ "output strains file, for a format description see above.", CCmdOptionFlags::required_output));
+diff --git a/src/fluid3d/main.cc b/src/fluid3d/main.cc
+index 4cb57b2..66a18b5 100644
+--- a/src/fluid3d/main.cc
++++ b/src/fluid3d/main.cc
+@@ -63,7 +63,7 @@ enum TMethod { meth_sor,
+
+
+ const TDictMap<TMethod>::Table method_dict[] = {
+- {"sor", meth_sor, "succesive overrelaxation"}
++ {"sor", meth_sor, "successive overrelaxation"}
+ ,{"sora",meth_sorex, "Gauss Southwell relexation"}
+ // ,{"sorap",meth_sorap}
+ ,{NULL, meth_sor, ""}
+@@ -139,7 +139,7 @@ int do_main(int argc, char *argv[])
+ options.add(make_opt( params.InitialStepsize, "step", 0, "Initial stepsize"));
+ options.add(make_opt( interpolator_kernel, "bspline:d=3", "interpolator", 'p', "image interpolator kernel"));
+ options.add(make_opt( params.Overrelaxation, "relax", 0, "overrelaxation factor vor method sor"));
+- options.add(make_opt( params.maxiter, "maxiter", 0, "maxium iterations"));
++ options.add(make_opt( params.maxiter, "maxiter", 0, "maximum iterations"));
+ options.add(make_opt( params.factor, "epsilon", 0, "truncation condition"));
+ options.add(make_opt( params.matter_threshold, "matter", 0, "intensity above which real "
+ "matter is assumed (experimental)"));
+diff --git a/src/plugin-help.cc b/src/plugin-help.cc
+index 24768c4..3987a9a 100644
+--- a/src/plugin-help.cc
++++ b/src/plugin-help.cc
+@@ -33,7 +33,7 @@ NS_MIA_USE;
+ const SProgramDescription description = {
+ {pdi_group, "Help"},
+ {pdi_short, "Print help about plug-in groups"},
+- {pdi_description, "This program is used to print out help about the availabel plug-ins\n"},
++ {pdi_description, "This program is used to print out help about the available plug-ins\n"},
+ {pdi_example_descr, "Print out the help about the 2D filter plugins .\n"},
+ {pdi_example_code, "filter/2d"}
+ };
diff --git a/debian/patches/series b/debian/patches/series
index 7523198..2d46791 100644
--- a/debian/patches/series
+++ b/debian/patches/series
@@ -1 +1,2 @@
mia_242_remove_boost_regex.patch
+mia_242_spellcheck.patch
--
Alioth's /usr/local/bin/git-commit-notice on /srv/git.debian.org/git/debian-med/mia.git
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