classdef dseries<handle % --*-- Unitary tests --*--

% Class for time series.

% Copyright (C) 2013-2019 Dynare Team
%
% This code 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 dseries submodule 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 <http://www.gnu.org/licenses/>.

properties
    data  = [];         % Array of data (a column per variable, a row per observation)
    name  = {};         % Names of the variables.
    tex   = {};         % TeX names of the variables.
    dates = dates();    % Dates associated to the observations.
    ops   = {};         % History of operations on the variables.
    tags  = struct();   % User defined tags on the variables.
end

methods
        function o = dseries(varargin)
        % Constructor for the dseries class
        %
        % INPUTS
        %
        % - If no input arguments, the constructore returns an empty dseries object.
        %
        % - If only one input argument is provided, the behaviour of the constructor depends on the type of the argument:
        %  + varargin{1}  [dates]   Constructor will return a dseries object without data. The dseries object can be populated later using dseries' methods.
        %  + varargin{1}  [char]    The name of a csv, m, mat or xlsx file containing data. A dseries object is created from these data.
        %  + varargin{1}  [double]  A T*N array of data. A dseries object is created from the array (T observations, N variables).
        %
        % - If only one two, three or four arguments are provided, we must have:
        %  + varargin{1}  [double]      A T*N array of data.
        %  + varargin{2}  [dates, char] A single element dates object or a string representing a date, the initial date of the database.
        %  + varargin{3}  [cell]        A N*1 cell of char or a N*q array of char, the names of  the variables.
        %  + varargin{4}  [cell]        A N*1 cell of char or a N*q array of char, the TeX names of  the variables.
        %
        % OUTPUTS
        % - o [dseries]
        switch nargin
          case 0
            % Return empty object.
            return
          case 1
            if isdates(varargin{1})
                switch length(varargin{1})
                  case 0
                    error('dseries:WrongInputArguments', 'Input (identified as a dates object) must be non empty!');
                  case 1
                    % Create an empty dseries object with an initial date.
                    o.dates = varargin{1};
                  otherwise
                    error('dseries:WrongInputArguments', 'Input (identified as a dates object) must have a unique element!');
                end
                return
            elseif ischar(varargin{1})
                [init, o.data, o.name, o.tex, o.ops, o.tags] = load_data(varargin{1});
                o.dates = init:init+(nobs(o)-1);
            elseif ~isoctave() && ~matlab_ver_less_than('8.2') && istable(varargin{1})
                % It is assumed that the dates are in the first column.
                o.name = varargin{1}.Properties.VariableNames(2:end);
                o.tex = name2tex(o.name);
                o.data = varargin{1}{:,2:end};
                o.dates = dates(varargin{1}{1,1}{1})+(0:size(varargin{1}, 1)-1);
                o.ops = cell(length(o.name), 1);
            elseif isnumeric(varargin{1}) && isequal(ndims(varargin{1}),2)
                o.data = varargin{1};
                o.name = default_name(vobs(o));
                o.tex = name2tex(o.name);
                o.dates = dates(1,1):dates(1,1)+(nobs(o)-1);
                o.ops = cell(length(o.name), 1);
            elseif isstruct(varargin{1})
                o = struct2dseries(varargin{1});
            end
          case  {2,3,4}
            if isequal(nargin,2) && ischar(varargin{1}) && isdates(varargin{2})
                % Instantiate dseries object with a data file and force the initial date to
                % be as given by the second input argument (initial period represented
                % with a dates object).
                [~, o.data, o.name, o.tex, o.ops, o.tags] = load_data(varargin{1});
                o.dates = varargin{2}:varargin{2}+(nobs(o)-1);
                return
            end
            if isequal(nargin,2) && ischar(varargin{1}) && ischar(varargin{2}) && isdate(varargin{2})
                % Instantiate dseries object with a data file and force the initial date to
                % be as given by the second input argument (initial period represented with a
                % string).
                [~, o.data, o.name, o.tex, o.ops, o.tags] = load_data(varargin{1});
                o.dates = dates(varargin{2}):dates(varargin{2})+(nobs(o)-1);
                return
            end
            a = varargin{1};
            b = varargin{2};
            if nargin<4
                d = {};
            else
                d = varargin{4};
                if ~iscell(d) && ~isempty(d)
                    d = cellstr(d);
                end
            end
            if nargin<3
                c = {};
            else
                c = varargin{3};
                if ~iscell(c) && ~isempty(c)
                    c = cellstr(c);
                end
            end
            % Get data, number of observations and number of variables.
            o.data = a;
            % Get the first date and set the frequency.
            if isempty(b)
                init = dates(1,1);
            elseif (isdates(b) && isequal(length(b),1))
                init = b;
            elseif ischar(b) && isdate(b)% Weekly, Monthly, Quaterly or Annual data (string).
                init = dates(b);
            elseif (isnumeric(b) && isscalar(b) && isint(b)) % Yearly data.
                init = dates([num2str(b) 'Y']);
            elseif isdates(b) % Range of dates
                init = b(1);
                if nobs(o)>1 && ~isequal(b.ndat(),nobs(o))
                    error('dseries:WrongInputArguments', ['If second input is a range, its number ' ...
                                        'of elements must match\nthe number of rows in the ' ...
                                        'first input, unless the first input\nhas only one row.']);
                elseif isequal(nobs(o), 1)
                    o.data = repmat(o.data,b.ndat(),1);
                end
                o.dates = b;
            elseif (isnumeric(b) && isint(b)) % Range of yearly dates.
                error('dseries:WrongInputArguments', ['Not implemented! If you need to define ' ...
                                    'a range of years, you have to pass a dates object as the ' ...
                                    'second input argument']);
            else
                error('dseries:WrongInputArguments', 'Wrong calling sequence! Please check the manual.');
            end
            % Get the names of the variables.
            if ~isempty(c)
                if vobs(o)==length(c)
                    for i=1:vobs(o)
                        o.name = vertcat(o.name, c(i));
                    end
                else
                    error('dseries:WrongInputArguments', 'The number of declared names does not match the number of variables!')
                end
            else
                o.name = default_name(vobs(o));
            end
            o.ops = cell(length(o.name), 1);
            o.tags = struct();
            if ~isempty(d)
                if vobs(o)==length(d)
                    for i=1:vobs(o)
                        o.tex = vertcat(o.tex, d(i));
                    end
                else
                    error('dseries:WrongInputArguments', 'The number of declared tex names does not match the number of variables!')
                end
            else
                o.tex = name2tex(o.name);
            end
          otherwise
            error('dseries:WrongInputArguments', 'Wrong calling sequence! Please check the manual.')
        end
        if isempty(o.dates)
            o.dates = init:init+(nobs(o)-1);
        end
        end % dseries
end % methods
end % classdef

%@test:1
%$ % Test if we can instantiate an empty dseries object.
%$ try
%$     ts = dseries();
%$     t(1) = 1;
%$ catch
%$     t(1) = 0;
%$ end
%$
%$ T = all(t);
%@eof:1

%@test:2
%$ t = zeros(4,1);
%$
%$ try
%$     aa = dates('1938M11');
%$     ts = dseries(aa);
%$     t(1) = 1;
%$ catch
%$     t = 0;
%$ end
%$
%$ if length(t)>1
%$     t(2) = dassert(ts.freq,12);
%$     t(3) = dassert(ts.init.freq,12);
%$     t(4) = dassert(ts.init.time,[1938, 11]);
%$ end
%$
%$ T = all(t);
%@eof:2

%@test:3
%$ t = zeros(8, 1);
%$
%$ try
%$     dseries_src_root = strrep(which('initialize_dseries_class'),'initialize_dseries_class.m','');
%$     ts = dseries([ dseries_src_root '../tests/data/dynseries_test_data.m' ]);
%$     t(1) = 1;
%$ catch
%$     t = 0;
%$ end
%$
%$ if length(t)>1
%$     t(2) = dassert(ts.freq,4);
%$     t(3) = dassert(ts.init.freq,4);
%$     t(4) = dassert(ts.init.time,[1994, 3]);
%$     t(5) = dassert(ts.vobs,2);
%$     t(6) = dassert(ts.nobs,100);
%$     t(7) = dassert(length(ts.ops), 2);
%$     t(8) = isempty(ts.ops{1}) && isempty(ts.ops{2});
%$ end
%$
%$ T = all(t);
%@eof:3

%@test:4
%$ t = zeros(8, 1);
%$
%$ try
%$     dseries_src_root = strrep(which('initialize_dseries_class'),'initialize_dseries_class.m','');
%$     ts = dseries([ dseries_src_root '../tests/data/dynseries_test_data.mat' ]);
%$     t(1) = 1;
%$ catch
%$     t = 0;
%$ end
%$
%$ if length(t)>1
%$     t(2) = dassert(ts.freq,4);
%$     t(3) = dassert(ts.init.freq,4);
%$     t(4) = dassert(ts.init.time,[1994, 3]);
%$     t(5) = dassert(ts.vobs,2);
%$     t(6) = dassert(ts.nobs,100);
%$     t(7) = dassert(length(ts.ops), 2);
%$     t(8) = isempty(ts.ops{1}) && isempty(ts.ops{2});
%$ end
%$
%$ T = all(t);
%@eof:4

%@test:5
%$ t = zeros(10, 1);
%$
%$ try
%$     dseries_src_root = strrep(which('initialize_dseries_class'),'initialize_dseries_class.m','');
%$     ts = dseries([ dseries_src_root '../tests/data/dynseries_test_data.csv' ]);
%$     t(1) = 1;
%$ catch
%$     t = 0;
%$ end
%$
%$ if length(t)>1
%$     t(2) = dassert(ts.freq,4);
%$     t(3) = dassert(ts.init.freq,4);
%$     t(4) = dassert(ts.init.time,[1990, 1]);
%$     t(5) = dassert(ts.vobs,4);
%$     t(6) = dassert(ts.nobs,4);
%$     t(7) = dassert(ts.name,{'azert';'yuiop';'qsdfg';'jklm'});
%$     t(8) = dassert(ts.tex,{'azert';'yuiop';'qsdfg';'jklm'});
%$     t(9) = dassert(length(ts.ops), 4);
%$     t(10) = isempty(ts.ops{1}) && isempty(ts.ops{2}) && isempty(ts.ops{3}) && isempty(ts.ops{4}) ;
%$ end
%$
%$ T = all(t);
%@eof:5

%@test:6
%$ t = zeros(10, 1);
%$
%$ try
%$     ts = dseries(transpose(1:5),[]);
%$     t(1) = 1;
%$ catch
%$     t = 0;
%$ end
%$
%$ if length(t)>1
%$     t(2) = dassert(ts.freq,1);
%$     t(3) = dassert(ts.init.freq,1);
%$     t(4) = dassert(ts.init.time,[1, 1]);
%$     t(5) = dassert(ts.vobs,1);
%$     t(6) = dassert(ts.nobs,5);
%$     t(7) = dassert(ts.name,{'Variable_1'});
%$     t(8) = dassert(ts.tex,{'Variable\\_1'});
%$     t(9) = dassert(length(ts.ops), 1);
%$     t(10) = isempty(ts.ops{1});
%$ end
%$
%$ T = all(t);
%@eof:6

%@test:7
%$ t = zeros(10, 1);
%$
%$ try
%$     ts = dseries(transpose(1:5),'1950Q1');
%$     t(1) = 1;
%$ catch
%$     t = 0;
%$ end
%$
%$ if length(t)>1
%$     t(2) = dassert(ts.freq,4);
%$     t(3) = dassert(ts.init.freq,4);
%$     t(4) = dassert(ts.init.time,[1950, 1]);
%$     t(5) = dassert(ts.vobs,1);
%$     t(6) = dassert(ts.nobs,5);
%$     t(7) = dassert(ts.name,{'Variable_1'});
%$     t(8) = dassert(ts.tex,{'Variable\\_1'});
%$     t(9) = dassert(length(ts.ops), 1);
%$     t(10) = isempty(ts.ops{1});
%$ end
%$
%$ T = all(t);
%@eof:7

%@test:8
%$ t = zeros(10, 1);
%$
%$ try
%$     ts = dseries([transpose(1:5), transpose(6:10)],'1950q1',{'Output'; 'Consumption'}, {'Y_t'; 'C_t'});
%$     t(1) = 1;
%$ catch
%$     t = 0;
%$ end
%$
%$ if length(t)>1
%$     t(2) = dassert(ts.freq,4);
%$     t(3) = dassert(ts.init.freq,4);
%$     t(4) = dassert(ts.init.time,[1950, 1]);
%$     t(5) = dassert(ts.vobs,2);
%$     t(6) = dassert(ts.nobs,5);
%$     t(7) = dassert(ts.name,{'Output'; 'Consumption'});
%$     t(8) = dassert(ts.tex,{'Y_t'; 'C_t'});
%$     t(9) = dassert(length(ts.ops), 2);
%$     t(10) = isempty(ts.ops{1}) && isempty(ts.ops{2});
%$ end
%$
%$ T = all(t);
%@eof:8

%@test:9
%$ try
%$     dseries_src_root = strrep(which('initialize_dseries_class'),'initialize_dseries_class.m','');
%$     if isoctave()
%$         ts = dseries([ dseries_src_root '../tests/data/dynseries_test_data-1.xlsx' ]);
%$     else
%$         ts = dseries([ dseries_src_root '../tests/data/dynseries_test_data-1.xls' ]);
%$     end
%$     t(1) = 1;
%$ catch
%$     t(1) = 0;
%$ end
%$
%$ if t(1)
%$     t(2) = dassert(ts.freq,4);
%$     t(3) = dassert(ts.init.freq,4);
%$     t(4) = dassert(ts.init.time,[1990, 1]);
%$     t(5) = dassert(ts.vobs,3);
%$     t(6) = dassert(ts.nobs,5);
%$     t(7) = dassert(ts.name,{'GDP';'Consumption';'CPI'});
%$     t(8) = dassert(ts.tex,{'GDP';'Consumption';'CPI'});
%$     t(9) = dassert(length(ts.ops), 3);
%$     t(10) = isempty(ts.ops{1}) && isempty(ts.ops{2}) && isempty(ts.ops{3});
%$ end
%$
%$ T = all(t);
%@eof:9

%@test:10
%$ try
%$     dseries_src_root = strrep(which('initialize_dseries_class'),'initialize_dseries_class.m','');
%$     if isoctave()
%$         ts = dseries([ dseries_src_root '../tests/data/dynseries_test_data-2.xlsx' ]);
%$     else
%$         ts = dseries([ dseries_src_root '../tests/data/dynseries_test_data-2.xls' ]);
%$     end
%$     t(1) = 1;
%$ catch
%$     t(1) = 0;
%$ end
%$
%$ if t(1)
%$     t(2) = dassert(ts.freq,4);
%$     t(3) = dassert(ts.init.freq,4);
%$     t(4) = dassert(ts.init.time,[1990, 1]);
%$     t(5) = dassert(ts.vobs,3);
%$     t(6) = dassert(ts.nobs,5);
%$     t(7) = dassert(ts.name,{'Variable_1';'Variable_2';'Variable_3'});
%$     t(8) = dassert(ts.tex,{'Variable\\_1';'Variable\\_2';'Variable\\_3'});
%$     t(9) = dassert(length(ts.ops), 3);
%$     t(10) = isempty(ts.ops{1}) && isempty(ts.ops{2}) && isempty(ts.ops{3});
%$ end
%$
%$ T = all(t);
%@eof:10

%@test:11
%$ try
%$     dseries_src_root = strrep(which('initialize_dseries_class'),'initialize_dseries_class.m','');
%$     if isoctave()
%$         ts = dseries([ dseries_src_root '../tests/data/dynseries_test_data-3.xlsx' ]);
%$     else
%$         ts = dseries([ dseries_src_root '../tests/data/dynseries_test_data-3.xls' ]);
%$     end
%$     t(1) = 1;
%$ catch
%$     t(1) = 0;
%$ end
%$
%$ if t(1)
%$     t(2) = dassert(ts.freq,1);
%$     t(3) = dassert(ts.init.freq,1);
%$     t(4) = dassert(ts.init.time,[1, 1]);
%$     t(5) = dassert(ts.vobs,3);
%$     t(6) = dassert(ts.nobs,5);
%$     t(7) = dassert(ts.name,{'Variable_1';'Variable_2';'Variable_3'});
%$     t(8) = dassert(ts.tex,{'Variable\\_1';'Variable\\_2';'Variable\\_3'});
%$     t(9) = dassert(length(ts.ops), 3);
%$     t(10) = isempty(ts.ops{1}) && isempty(ts.ops{2}) && isempty(ts.ops{3});
%$ end
%$
%$ T = all(t);
%@eof:11

%@test:12
%$ try
%$     dseries_src_root = strrep(which('initialize_dseries_class'),'initialize_dseries_class.m','');
%$     if isoctave()
%$         ts = dseries([ dseries_src_root '../tests/data/dynseries_test_data-4.xlsx' ]);
%$     else
%$         ts = dseries([ dseries_src_root '../tests/data/dynseries_test_data-4.xls' ]);
%$     end
%$     t(1) = 1;
%$ catch
%$     t(1) = 0;
%$ end
%$
%$ if t(1)
%$     t(2) = dassert(ts.freq,1);
%$     t(3) = dassert(ts.init.freq,1);
%$     t(4) = dassert(ts.init.time,[1, 1]);
%$     t(5) = dassert(ts.vobs,3);
%$     t(6) = dassert(ts.nobs,5);
%$     t(7) = dassert(ts.name,{'GDP';'Consumption';'CPI'});
%$     t(8) = dassert(ts.tex,{'GDP';'Consumption';'CPI'});
%$     t(9) = dassert(length(ts.ops), 3);
%$     t(10) = isempty(ts.ops{1}) && isempty(ts.ops{2}) && isempty(ts.ops{3});
%$ end
%$
%$ T = all(t);
%@eof:12

%@test:13
%$ t = zeros(8, 1);
%$
%$ try
%$     ts = dseries(transpose(1:4),dates('1990Q1'):dates('1990Q4'));
%$     t(1) = 1;
%$ catch
%$     t = 0;
%$ end
%$
%$ if length(t)>1
%$     t(2) = dassert(ts.freq,4);
%$     t(3) = dassert(ts.init.freq,4);
%$     t(4) = dassert(ts.init.time,[1990, 1]);
%$     t(5) = dassert(ts.vobs,1);
%$     t(6) = dassert(ts.nobs,4);
%$     t(7) = dassert(length(ts.ops), 1);
%$     t(8) = isempty(ts.ops{1});
%$ end
%$
%$ T = all(t);
%@eof:13

%@test:14
%$ t = zeros(9, 1);
%$
%$ try
%$     ts = dseries([1, 2],dates('1990Q1'):dates('1990Q4'));
%$     t(1) = 1;
%$ catch
%$     t = 0;
%$ end
%$
%$ if length(t)>1
%$     t(2) = dassert(ts.freq,4);
%$     t(3) = dassert(ts.init.freq,4);
%$     t(4) = dassert(ts.init.time,[1990, 1]);
%$     t(5) = dassert(ts.vobs,2);
%$     t(6) = dassert(ts.nobs,4);
%$     t(7) = dassert(ts.data, [ones(4,1), 2*ones(4,1)]);
%$     t(8) = dassert(length(ts.ops), 2);
%$     t(9) = isempty(ts.ops{1}) && isempty(ts.ops{2});
%$ end
%$
%$ T = all(t);
%@eof:14

%@test:15
%$ try
%$     evalc('dseries([1; 2],dates(''1990Q1''):dates(''1990Q4''));');
%$     t = 0;
%$ catch
%$     t = 1;
%$ end
%$
%$ T = all(t);
%@eof:15
