1function o = abs(o) % --*-- Unitary tests --*--
2
3% Apply the absolute value to all the variables in a dseries object (without in place modification).
4%
5% INPUTS
6% - o [dseries]
7%
8% OUTPUTS
9% - o [dseries]
10
11% Copyright (C) 2011-2017 Dynare Team
12%
13% This file is part of Dynare.
14%
15% Dynare is free software: you can redistribute it and/or modify
16% it under the terms of the GNU General Public License as published by
17% the Free Software Foundation, either version 3 of the License, or
18% (at your option) any later version.
19%
20% Dynare is distributed in the hope that it will be useful,
21% but WITHOUT ANY WARRANTY; without even the implied warranty of
22% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
23% GNU General Public License for more details.
24%
25% You should have received a copy of the GNU General Public License
26% along with Dynare.  If not, see <http://www.gnu.org/licenses/>.
27
28o = copy(o);
29o.abs_;
30
31%@test:1
32%$ % Define a dates object
33%$ data = -ones(10,2);
34%$ o = dseries(data);
35%$ q = dseries(data);
36%$
37%$ % Call the tested routine.
38%$ try
39%$     p = o.abs();
40%$     t(1) = true;
41%$ catch
42%$     t(1) = false;
43%$ end
44%$
45%$ if t(1)
46%$      t(2) = dassert(o, q);
47%$      t(3) = dassert(p.data, ones(10, 2));
48%$ end
49%$
50%$ T = all(t);
51%@eof:1
52
53%@test:2
54%$ % Define a dates object
55%$ data = -ones(10,2);
56%$ o = dseries(data);
57%$ q = dseries(data);
58%$
59%$ % Call the tested routine.
60%$ try
61%$     p = o.abs();
62%$     t(1) = true;
63%$ catch
64%$     t(1) = false;
65%$ end
66%$
67%$ if t(1)
68%$      t(2) = dassert(length(p.name), 2);
69%$      t(3) = dassert(p.ops{1},'abs(Variable_1)');
70%$      t(4) = dassert(p.ops{2},'abs(Variable_2)');
71%$      t(5) = dassert(p.name{1},'Variable_1');
72%$      t(6) = dassert(p.name{2},'Variable_2');
73%$      t(7) = dassert(o.name{1},'Variable_1');
74%$      t(8) = dassert(o.name{2},'Variable_2');
75%$      t(9) = isempty(o.ops{1});
76%$      t(10) = isempty(o.ops{2});
77%$ end
78%$
79%$ T = all(t);
80%@eof:2
81
82%@test:3
83%$ % Define a datasets.
84%$ A = randn(10,2);
85%$
86%$ % Define names
87%$ A_name = {'A1';'A2'};
88%$ A_tex = {'A_1';'A_2'};
89%$
90%$ % Instantiate a time series object and compute the absolute value.
91%$ try
92%$    ts1 = dseries(A,[],A_name,A_tex);
93%$    ts2 = abs(ts1);
94%$    t(1) = 1;
95%$ catch
96%$    t = 0;
97%$ end
98%$
99%$ if t(1)
100%$    t(2) = dassert(ts2.vobs,2);
101%$    t(3) = dassert(ts2.nobs,10);
102%$    t(4) = dassert(ts2.data,abs(A),1e-15);
103%$    t(5) = dassert(ts2.name,{'A1';'A2'});
104%$    t(6) = dassert(ts2.ops,{'abs(A1)';'abs(A2)'});
105%$    t(7) = dassert(ts2.tex,{'A_1';'A_2'});
106%$    t(8) = dassert(ts1.vobs, 2);
107%$    t(9) = dassert(ts1.nobs, 10);
108%$    t(10) = dassert(ts1.data, A, 1e-15);
109%$    t(11) = dassert(ts1.name, {'A1';'A2'});
110%$    t(12) = dassert(ts1.tex, {'A_1';'A_2'});
111%$    t(13) = isempty(ts1.ops{1});
112%$    t(14) = isempty(ts1.ops{2});
113%$ end
114%$ T = all(t);
115%@eof:3
116
117%@test:4
118%$ % Define a datasets.
119%$ A = randn(10,2);
120%$
121%$ % Define names
122%$ A_name = {'A1';'A2'};
123%$ A_tex = {'A_1';'A_2'};
124%$
125%$ % Instantiate a time series object and compute the absolute value.
126%$ try
127%$    ts1 = dseries(A,[],A_name,A_tex);
128%$    ts2 = ts1.abs();
129%$    t(1) = 1;
130%$ catch
131%$    t = 0;
132%$ end
133%$
134%$ if t(1)
135%$    t(2) = dassert(ts2.vobs,2);
136%$    t(3) = dassert(ts2.nobs,10);
137%$    t(4) = dassert(ts2.data,abs(A),1e-15);
138%$    t(5) = dassert(ts2.name,{'A1';'A2'});
139%$    t(6) = dassert(ts2.tex,{'A_1';'A_2'});
140%$    t(7) = dassert(ts2.ops,{'abs(A1)';'abs(A2)'});
141%$    t(8) = dassert(ts1.vobs, 2);
142%$    t(9) = dassert(ts1.nobs, 10);
143%$    t(10) = dassert(ts1.data, A, 1e-15);
144%$    t(11) = dassert(ts1.name, {'A1';'A2'});
145%$    t(12) = dassert(ts1.tex, {'A_1';'A_2'});
146%$    t(13) = isempty(ts1.ops{1});
147%$    t(14) = isempty(ts1.ops{2});
148%$ end
149%$ T = all(t);
150%@eof:4
151