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Commit 01cfefab authored by Pierre Cazenave's avatar Pierre Cazenave
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Remove lines of only spaces.

parent 2c400ffa
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Showing with 18 additions and 18 deletions
utilities/read_netCDF_FVCOM.m
View file @ 01cfefab
......@@ -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});
......
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