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?? getnc_s.m

?? 讀取Network Common Data Form (netCDF)數據
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	miss_up = miss_up + addoff;      end    end        index_miss_low = find ( values < miss_low );    index_miss_up = find ( values > miss_up );  else    pos_min = check_st('valid_min', attstring, nvatts);    if pos_min > 0      [attype, attlen, rcode] = ncmex('ncattinq', cdfid, varid, 'valid_min');      if rcode == -1	error(['** ERROR ** ncattinq: rcode = ' num2str(rcode)])      end      [miss_low, rcode] = ncmex('ncattget', cdfid, varid, 'valid_min');      if rcode == -1	error(['** ERROR ** ncattget: rcode = ' num2str(rcode)])      end      % Check that valid_min is a scalar          if length(miss_low) ~= 1	error(['The valid_min attribute must be a scalar'])      end          % Correct for possible faulty handling of byte type          if attype == nc_byte	if miss_low > 127; miss_low = miss_low - 256; end      end      miss_low_orig = miss_low;      % Rescale & add offsets if required.            if rescale_att == 1	if isempty(scalef) == 0	  miss_low = miss_low*scalef;	end	if isempty(addoff) == 0	  miss_low = miss_low + addoff;	end      end            index_miss_low = find ( values < miss_low );    end        pos_max = check_st('valid_max', attstring, nvatts);    if pos_max > 0      [attype, attlen, rcode] = ncmex('ncattinq', cdfid, varid, 'valid_max');      if rcode == -1	error(['** ERROR ** ncattinq: rcode = ' num2str(rcode)])      end      [miss_up, rcode] = ncmex('ncattget', cdfid, varid, 'valid_max');      if rcode == -1	error(['** ERROR ** ncattget: rcode = ' num2str(rcode)])      end      % Check that valid_max is a scalar          if length(miss_up) ~= 1	error(['The valid_max attribute must be a scalar'])      end            % Correct for possible faulty handling of byte type          if attype == nc_byte	if miss_up > 127; miss_up = miss_up - 256; end      end      miss_up_orig = miss_up;      % Rescale & add offsets if required.            if rescale_att == 1	if isempty(scalef) == 0	  miss_up = miss_up*scalef;	end	if isempty(addoff) == 0	  miss_up = miss_up + addoff;	end      end            index_miss_up = find ( values > miss_up );    end  end    % Now find the indices of the data points that are 'close to'  % _FillValue.  Note that 'close to' is different according to the  % data type.    pos_missv = check_st('_FillValue', attstring, nvatts);  if pos_missv > 0    [attype, attlen, rcode] = ncmex('ncattinq', cdfid, varid, '_FillValue');    if rcode == -1      error(['** ERROR ** ncattinq: rcode = ' num2str(rcode)])    end    [miss_val, rcode] = ncmex('ncattget', cdfid, varid, '_FillValue');    if rcode == -1      error(['** ERROR ** ncattget: rcode = ' num2str(rcode)])    end    % Check that _FillValue is a scalar        if length(miss_val) ~= 1      error(['The _FillValue attribute must be a scalar'])    end        % Correct for possible faulty handling of byte type        if attype == nc_byte      if miss_val > 127; miss_val = miss_val - 256; end    end    fill_value_orig = miss_val;          % Check whether _FillValue is outside the valid range to decide    % whether to keep going.        keep_going = 1;    if ~isempty(miss_low_orig)      if (miss_val < miss_low_orig )	keep_going = 0;      end    end    if ~isempty(miss_up_orig)      if (miss_val > miss_up_orig )	keep_going = 0;      end    end	    if keep_going == 1	      % Rescale & add offsets if required.          if rescale_att == 1	if isempty(scalef) == 0	  miss_val = miss_val*scalef;	end	if isempty(addoff) == 0	  miss_val = miss_val + addoff;	end      end            if attype == nc_byte | attype == nc_char	index__FillValue = find ( values == miss_val );      elseif attype == nc_short | attype == nc_long	need_index_m = 1;	if pos_vr > 0 | pos_min > 0	  if miss_val < miss_low	    need_index_m = 0;	  end	end	if pos_vr > 0 | pos_max > 0	  if miss_val > miss_up	    need_index_m = 0;	  end	end	if need_index_m	  index__FillValue = find ( values == miss_val );	end      elseif attype == nc_float | attype == nc_double	need_index_m = 1;	if miss_val < 0	  miss_val_low = 1.00001*miss_val;	  miss_val_up = 0.99999*miss_val;	else	  miss_val_low = 0.99999*miss_val;	  miss_val_up = 1.00001*miss_val;	end		if pos_vr > 0 | pos_min > 0	  if miss_val_up < miss_low	    need_index_m = 0;	  end	end	if pos_vr > 0 | pos_max > 0	  if miss_val_low > miss_up	    need_index_m = 0;	  end	end	if need_index_m	  index__FillValue = find ( miss_val_low <= values & ...	      values <= miss_val_up );	end      end    end  end    % Now find the indices of the data points that are 'close to'  % missing_value.  Note that 'close to' is different according to the  % data type.  This is only done if the missing_value exists and is  % different to the _FillValue    pos_missv = check_st('missing_value', attstring, nvatts);  if pos_missv > 0    [attype, attlen, rcode] = ncmex('ncattinq', cdfid, varid, 'missing_value');    if rcode == -1      error(['** ERROR ** ncattinq: rcode = ' num2str(rcode)])    end    [miss_val, rcode] = ncmex('ncattget', cdfid, varid, 'missing_value');    if rcode == -1      error(['** ERROR ** ncattget: rcode = ' num2str(rcode)])    end    % Check that missing_value is a scalar        if length(miss_val) ~= 1      error(['The missing_value attribute must be a scalar'])    end        % Correct for possible faulty handling of byte type        if attype == nc_byte      if miss_val > 127; miss_val = miss_val - 256; end    end        % Check whether missing_value is outside the valid range to decide    % whether to keep going.  Also check whether it equals the original    % _FillValue.        keep_going = 1;    if ~isempty(miss_low_orig)      if (miss_val < miss_low_orig)	keep_going = 0;      end    end    if ~isempty(miss_up_orig)      if (miss_val > miss_up_orig)	keep_going = 0;      end    end    if ~isempty(fill_value_orig)      if (miss_val == fill_value_orig)	keep_going = 0;      end    end        if keep_going == 1            % Rescale & add offsets if required.          if rescale_att == 1	if isempty(scalef) == 0	  miss_val = miss_val*scalef;	end	if isempty(addoff) == 0	  miss_val = miss_val + addoff;	end      end            if attype == nc_byte | attype == nc_char	index_missing_value = find ( values == miss_val );      elseif attype == nc_short | attype == nc_long	need_index_m = 1;	if pos_vr > 0 | pos_min > 0	  if miss_val < miss_low	    need_index_m = 0;	  end	end	if pos_vr > 0 | pos_max > 0	  if miss_val > miss_up	    need_index_m = 0;	  end	end	if need_index_m	  index_missing_value = find ( values == miss_val );	end      elseif attype == nc_float | attype == nc_double	need_index_m = 1;	if miss_val < 0	  miss_val_low = 1.00001*miss_val;	  miss_val_up = 0.99999*miss_val;	else	  miss_val_low = 0.99999*miss_val;	  miss_val_up = 1.00001*miss_val;	end		if pos_vr > 0 | pos_min > 0	  if miss_val_up < miss_low	    need_index_m = 0;	  end	end	if pos_vr > 0 | pos_max > 0	  if miss_val_low > miss_up	    need_index_m = 0;	  end	end	if need_index_m	  index_missing_value = find ( miss_val_low <= values & ...	      values <= miss_val_up );	end      end    end  end    %Combine the arrays of missing value indices into one unordered array.  %Note that for real numbers the range of the _FillValue and  %missing_value may intersect both the valid and invalid range and so  %some indices may appear twice; this does not cause any inaccuracy,  %although it will result in some inefficiency.  In particular,  %rescaling is done on the set of indices NOT in index_miss and so is  %not affected.    index_miss = [ index_miss_low(:); index__FillValue(:); ...	index_missing_value(:); index_miss_up(:) ];  %index_miss = sort(index_miss);  len_index_miss = length(index_miss);    % If there are any missing values then change them to a  % more convenient value.    if len_index_miss > 0    if change_miss == 2      values(index_miss) = NaN*ones(size(index_miss));      if vartypv == nc_char	values = setstr(values);      end    elseif change_miss == 3      values(index_miss) = new_miss*ones(size(index_miss));      if vartypv == nc_char	values = setstr(values);      end    else      s = [ 'getnc_s was passed change_miss = ' int2str(change_miss) ];      error(s)    end  endend% Rescale the byte type data which was not done automatically. If the option% to not rescale has been selected then scalef and addoff will be empty and% there will be no rescaling.if vartypv == nc_byte  if isempty(scalef) == 0    values = values*scalef;  end  if isempty(addoff) == 0    values = values + addoff;  endend    % Close the netcdf file.[rcode] = ncmex('ncclose', cdfid);if rcode == -1  error(['** ERROR ** ncclose: rcode = ' num2str(rcode)])end

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