From 01cfefab3351aa16fd4e681cf64289aa04522693 Mon Sep 17 00:00:00 2001 From: Pierre Cazenave Date: Mon, 20 Oct 2014 12:28:41 +0100 Subject: [PATCH] Remove lines of only spaces. --- utilities/read_netCDF_FVCOM.m | 36 +++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/utilities/read_netCDF_FVCOM.m b/utilities/read_netCDF_FVCOM.m index b75511a..7e82839 100644 --- a/utilities/read_netCDF_FVCOM.m +++ b/utilities/read_netCDF_FVCOM.m @@ -191,18 +191,18 @@ try Itime.Data(2) = netcdf.getVar(nc,Itime.ID,last_entry-1,1,'int32'); Itime2.Data(1) = netcdf.getVar(nc,Itime.ID+1,0,1,'int32'); Itime2.Data(2) = netcdf.getVar(nc,Itime.ID+1,last_entry-1,1,'int32'); - + [start_d(1),end_d(1)] = deal(double(Itime.Data(1))+time_offset,double(Itime.Data(end))+time_offset); [start_d(2),end_d(2)] = deal(double(Itime2.Data(1)),double(Itime2.Data(end))); - + start_date=sum(start_d.*[1 1/(24*60*60*1000)]); %hkj missing 1000 inserted end_date = sum(end_d.*[1 1/(24*60*60*1000)]); %hkj missing 1000 inserted var_time = netcdf.getVar(nc,Itime.ID,[0],[10],'double')+time_offset+... netcdf.getVar(nc,Itime.ID+1,0,10,'double')./(24*600*6000) ; - + DeltaT=median(diff(var_time)); var_time = start_date:DeltaT:(end_date-DeltaT); - + catch me if ftbverbose warning('No ''Itime'' and/or ''Itime2'' variables, using less precise ''time'' instead.\n(%s)\n', me.message) @@ -379,7 +379,7 @@ for aa=1:length(varnames) start.(dimName{dd})=RestrictDims.idx{dimidx(dd)}(1)-1; count.(dimName{dd})=length(RestrictDims.idx{dimidx(dd)}); stride.(dimName{dd})=timestrd; - + else for ss=1:length(RestrictDims.idx{dimidx(dd)}) start.(dimName{dd})(ss)=RestrictDims.idx{dimidx(dd)}(ss)-1; @@ -423,14 +423,14 @@ for aa=1:length(varnames) read_start(find(~do_restrict))=start.(cc_names{find(~do_restrict)}); read_count(find(~do_restrict))=count.(cc_names{find(~do_restrict)}); read_stride(find(~do_restrict))=stride.(cc_names{find(~do_restrict)}); - + for cc=1:length(start.(cc_names{find(do_restrict)})) read_start(find(do_restrict))=start.(cc_names{find(do_restrict)})(cc); read_count(find(do_restrict))=count.(cc_names{find(do_restrict)})(cc); read_stride(find(do_restrict))=stride.(cc_names{find(do_restrict)}); - + var_dump=netcdf.getVar(nc,varID,read_start,read_count,read_stride,'double'); - + eval([varnames{aa},'(cc,:)=var_dump;']) clear var_dump end @@ -478,7 +478,7 @@ for aa=1:length(varnames) read_start(tt)=start.(cc_names{tt}); read_count(tt)=count.(cc_names{tt}); read_stride(tt)=stride.(cc_names{tt}); - + end % check if time is one of them @@ -495,7 +495,7 @@ for aa=1:length(varnames) read_count(find(do_restrict))=count.(cc_names{find(do_restrict)})(cc); read_stride(find(do_restrict))=stride.(cc_names{find(do_restrict)}); var_dump=netcdf.getVar(nc,varID,read_start,read_count,read_stride,'double'); - + switch dimName(find(do_restrict)) case 'node' | 'nele' eval([varnames{aa},'(cc,:,:)=var_dump;']) @@ -572,7 +572,7 @@ for aa=1:length(varnames) read_count(2)=count.(cc_names{2})(cc); read_stride(2)=stride.(cc_names{2}); var_dump=netcdf.getVar(nc,varID,read_start,read_count,read_stride,'double'); - + eval([varnames{aa},'(kk,cc)=var_dump;']) clear var_dump end @@ -583,7 +583,7 @@ for aa=1:length(varnames) eval(['selection.',varnames{aa},'.start=start;']) eval(['selection.',varnames{aa},'.count=count;']) - + case 3 % three dimension to restrict! % but the variable can have more than 2 dimensions switch dimens @@ -595,7 +595,7 @@ for aa=1:length(varnames) min(sum(count.(cc_names{2})),dimLength(2)),... min(sum(count.(cc_names{3})),dimLength(3))]; end - + eval([varnames{aa},'=nan(rr);']) % check if time is one of them if isempty(find(dimidx==5));disp('This won''t work, try again');return;end @@ -604,7 +604,7 @@ for aa=1:length(varnames) read_start(do_time)=start.(cc_names{do_time}); read_count(do_time)=count.(cc_names{do_time}); read_stride(do_time)=stride.(cc_names{do_time}); - + % search for the non_restrictive variable % cc=1 % while ~(length( start.(cc_names{cc}))==1);cc=cc+1;end @@ -616,17 +616,17 @@ for aa=1:length(varnames) else do_one=do_other(2);do_two=do_other(1); end - + for cc=1:length(start.(cc_names{do_one})) read_start(do_one)=start.(cc_names{do_one})(cc); read_count(do_one)=count.(cc_names{do_one})(cc); read_stride(do_one)=stride.(cc_names{do_one}); - + for pp=1:length(start.(cc_names{do_two})) read_start(do_two)=start.(cc_names{do_two})(pp); read_count(do_two)=count.(cc_names{do_two})(pp); read_stride(do_two)=stride.(cc_names{do_two}); - + var_dump=netcdf.getVar(nc,varID,read_start,read_count,read_stride,'double'); eval([varnames{aa},'(pp,cc,:)=var_dump;']) end @@ -635,7 +635,7 @@ for aa=1:length(varnames) eval(['selection.',varnames{aa},'.start=start;']) eval(['selection.',varnames{aa},'.count=count;']) case 0 % there are NO dimensions to restrict and 3 dimensions haven't been coded yet!! - + for nn=1:length(cc_names) read_start(nn)=start.(cc_names{nn}); read_count(nn)=count.(cc_names{nn}); -- GitLab