119 lines
3.2 KiB
Matlab
119 lines
3.2 KiB
Matlab
function B = pop(A,a) % --*-- Unitary tests --*--
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% pop method for dates class (removes a date).
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%
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% INPUTS
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% o A dates object.
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% o a dates object with one element, string which can be interpreted as a date or integer scalar.
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%
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% OUTPUTS
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% o B dates object (with B.ndat==A.ndat-1).
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%
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% REMARKS
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% If a is a date appearing more than once in A, then only the last occurence is removed. If one wants to
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% remove all the occurences of a in A, the setdiff function should be used instead.
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% Copyright (C) 2012-2013 Dynare Team
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
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if nargin<2
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% Remove last date
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B = dates();
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B.ndat = A.ndat-1;
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B.freq = A.freq;
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B.time = NaN(B.ndat,2);
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B.time = A.time(1:end-1,:);
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return
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end
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if ~(isa(a,'dates') || isdate(a) || (isscalar(a) && isint(a)))
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error(['dates::pop: Input argument ' inputname(2) ' has to be a dates object with a single element, a string (which can be interpreted as a date) or an integer.'])
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end
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if ischar(a)
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a = dates(a);
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end
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B = dates();
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B.ndat = A.ndat-1;
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B.freq = A.freq;
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B.time = NaN(B.ndat,2);
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if isscalar(a) && isint(a)
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idx = find(transpose(1:A.ndat)~=a);
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B.time = A.time(idx,:);
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else
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if ~isequal(A.freq,a.freq)
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error('dates::pop: Inputs must have common frequency!')
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end
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idx = find(A==a);
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jdx = find(transpose(1:A.ndat)~=idx(end));
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B.time = A.time(jdx,:);
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end
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%@test:1
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%$ % Define some dates
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%$ B1 = '1953Q4';
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%$ B2 = '1950Q2';
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%$ B3 = '1950Q1';
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%$ B4 = '1945Q3';
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%$ B5 = '2009Q2';
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%$
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%$ % Define expected results
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%$ e.time = [1945 3; 1950 1; 1950 2; 1953 4; 2009 2];
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%$ e.freq = 4;
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%$ e.ndat = 5;
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%$
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%$ % Call the tested routine
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%$ d = dates(B4,B3,B2,B1);
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%$ d = d.append(dates(B5));
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%$ f = d.pop();
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%$ t(1) = dyn_assert(f.time,e.time(1:end-1,:));
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%$ t(2) = dyn_assert(f.freq,e.freq);
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%$ t(3) = dyn_assert(f.ndat,e.ndat-1);
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%$ f = d.pop(B1);
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%$ t(4) = dyn_assert(f.time,[1945 3; 1950 1; 1950 2; 2009 2]);
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%$ t(5) = dyn_assert(f.freq,e.freq);
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%$ t(6) = dyn_assert(f.ndat,e.ndat-1);
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%$ f = d.pop(dates(B1));
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%$ t(7) = dyn_assert(f.time,[1945 3; 1950 1; 1950 2; 2009 2]);
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%$ t(8) = dyn_assert(f.freq,e.freq);
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%$ t(9) = dyn_assert(f.ndat,e.ndat-1);
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%$
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%$ % Check the results.
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%$ T = all(t);
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%@eof:1
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%@test:2
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%$ % Define some dates
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%$ B1 = '1950Q1';
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%$ B2 = '1950Q2';
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%$ B3 = '1950Q1';
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%$ B4 = '1945Q3';
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%$ B5 = '2009Q2';
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%$
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%$ % Call the tested routine
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%$ d = dates(B1,B2,B3,B4);
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%$ d = d.append(dates(B5));
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%$ f = d.pop();
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%$ t(1) = dyn_assert(isequal(f,dates(B1,B2,B3,B4)),1);
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%$ f = d.pop(B1);
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%$ t(2) = dyn_assert(isequal(f,dates(B1,B2,B4,B5)),1);
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%$ g = f.pop(1);
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%$ t(3) = dyn_assert(isequal(g,dates(B2,B4,B5)),1);
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%$ T = all(t);
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%@eof:2 |