function o = ygrowth_(o) % --*-- Unitary tests --*--

% Computes yearly growth rates.
%
% INPUTS
% - o   [dseries]
%
% OUTPUTS
% - o   [dseries]

% Copyright © 2012-2020 Dynare Team
%
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% Dynare is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with Dynare.  If not, see <https://www.gnu.org/licenses/>.

switch frequency(o)
  case 1
    o.data(2:end,:) = o.data(2:end,:)./o.data(1:end-1,:) - 1;
    o.data(1,:) = NaN;
  case 2
    o.data(3:end,:) = o.data(3:end,:)./o.data(1:end-2,:) - 1;
    o.data(1:2,:) = NaN;  
  case 4
    o.data(5:end,:) = o.data(5:end,:)./o.data(1:end-4,:) - 1;
    o.data(1:4,:) = NaN;
  case 12
    o.data(13:end,:) = o.data(13:end,:)./o.data(1:end-12,:) - 1;
    o.data(1:12,:) = NaN;
  case 52
    o.data(53:end,:) = o.data(53:end,:)./o.data(1:end-52,:) - 1;
    o.data(1:52,:) = NaN;
  case 365
    o.data(366:end,:) = o.data(366:end,:)./o.data(1:end-365,:) - 1;
    o.data(1:365,:) = NaN;
  otherwise
    error(['dseries::ygrowth: object ' inputname(1) ' has unknown frequency']);
end

for i = 1:vobs(o)
    if isempty(o.ops{i})
        o.ops(i) = {['ygrowth(' o.name{i} ')']};
    else
        o.ops(i) = {['ygrowth(' o.ops{i} ')']};
    end
end

return

%@test:1
try
    data = repmat(transpose(1:2),100,1);
    ts = dseries(data,'1950H1');
    ts.ygrowth_;
    t(1) = true;
catch
    t(1) = false;
end


if t(1)
    DATA = NaN(2,ts.vobs);
    DATA = [DATA; zeros(ts.nobs-2,ts.vobs)];
    t(2) = dassert(ts.data,DATA);
end

T = all(t);
%@eof:1

%@test:2
try
    data = repmat(transpose(1:4),100,1);
    ts = dseries(data,'1950Q1');
    ts.ygrowth_;
    t(1) = true;
catch
    t(1) = false;
end


if t(1)
    DATA = NaN(4,ts.vobs);
    DATA = [DATA; zeros(ts.nobs-4,ts.vobs)];
    t(2) = dassert(ts.data,DATA);
end

T = all(t);
%@eof:2

%@test:3
try
    data = repmat(transpose(1:12),100,1);
    ts = dseries(data,'1950M1');
    ts.ygrowth_();
    t(1) = true;
catch
    t(1) = false;
end

if t(1)
    DATA = NaN(12,ts.vobs);
    DATA = [DATA; zeros(ts.nobs-12,ts.vobs)];
    t(2) = dassert(ts.data,DATA);
end

T = all(t);
%@eof:3

%@test:5
try
    data = repmat(transpose(1:365),100,1);
    ts = dseries(data,'1950-01-01');
    ts.ygrowth_();
    t(1) = true;
catch
    t(1) = false;
end


if t(1)
    DATA = NaN(365,ts.vobs);
    DATA = [DATA; zeros(ts.nobs-365,ts.vobs)];
    t(2) = dassert(ts.data,DATA);
end

T = all(t);
%@eof:5