1 // SPDX-License-Identifier: Apache-2.0
2 //
3 // Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au)
4 // Copyright 2008-2016 National ICT Australia (NICTA)
5 //
6 // Licensed under the Apache License, Version 2.0 (the "License");
7 // you may not use this file except in compliance with the License.
8 // You may obtain a copy of the License at
9 // http://www.apache.org/licenses/LICENSE-2.0
10 //
11 // Unless required by applicable law or agreed to in writing, software
12 // distributed under the License is distributed on an "AS IS" BASIS,
13 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 // See the License for the specific language governing permissions and
15 // limitations under the License.
16 // ------------------------------------------------------------------------
17 
18 
19 
20 //! \addtogroup op_unique
21 //! @{
22 
23 
24 
25 template<typename T1>
26 inline
27 bool
apply_helper(Mat<typename T1::elem_type> & out,const Proxy<T1> & P,const bool P_is_row)28 op_unique::apply_helper(Mat<typename T1::elem_type>& out, const Proxy<T1>& P, const bool P_is_row)
29   {
30   arma_extra_debug_sigprint();
31 
32   typedef typename T1::elem_type eT;
33 
34   const uword n_elem = P.get_n_elem();
35 
36   if(n_elem == 0)
37     {
38     if(P_is_row)
39       {
40       out.set_size(1,0);
41       }
42     else
43       {
44       out.set_size(0,1);
45       }
46 
47     return true;
48     }
49 
50   if(n_elem == 1)
51     {
52     const eT tmp = (Proxy<T1>::use_at) ? P.at(0,0) : P[0];
53 
54     out.set_size(1, 1);
55 
56     out[0] = tmp;
57 
58     return true;
59     }
60 
61   Mat<eT> X(n_elem, 1, arma_nozeros_indicator());
62 
63   eT* X_mem = X.memptr();
64 
65   if(Proxy<T1>::use_at == false)
66     {
67     typename Proxy<T1>::ea_type Pea = P.get_ea();
68 
69     for(uword i=0; i<n_elem; ++i)
70       {
71       const eT val = Pea[i];
72 
73       if(arma_isnan(val))  { out.soft_reset(); return false; }
74 
75       X_mem[i] = val;
76       }
77     }
78   else
79     {
80     const uword n_rows = P.get_n_rows();
81     const uword n_cols = P.get_n_cols();
82 
83     for(uword col=0; col < n_cols; ++col)
84     for(uword row=0; row < n_rows; ++row)
85       {
86       const eT val = P.at(row,col);
87 
88       if(arma_isnan(val))  { out.soft_reset(); return false; }
89 
90       (*X_mem) = val;  X_mem++;
91       }
92 
93     X_mem = X.memptr();
94     }
95 
96   arma_unique_comparator<eT> comparator;
97 
98   std::sort( X.begin(), X.end(), comparator );
99 
100   uword N_unique = 1;
101 
102   for(uword i=1; i < n_elem; ++i)
103     {
104     const eT a = X_mem[i-1];
105     const eT b = X_mem[i  ];
106 
107     const eT diff = a - b;
108 
109     if(diff != eT(0)) { ++N_unique; }
110     }
111 
112   if(P_is_row)
113     {
114     out.set_size(1, N_unique);
115     }
116   else
117     {
118     out.set_size(N_unique, 1);
119     }
120 
121   eT* out_mem = out.memptr();
122 
123   if(n_elem > 0)  { (*out_mem) = X_mem[0];  out_mem++; }
124 
125   for(uword i=1; i < n_elem; ++i)
126     {
127     const eT a = X_mem[i-1];
128     const eT b = X_mem[i  ];
129 
130     const eT diff = a - b;
131 
132     if(diff != eT(0))  { (*out_mem) = b;  out_mem++; }
133     }
134 
135   return true;
136   }
137 
138 
139 
140 template<typename T1>
141 inline
142 void
apply(Mat<typename T1::elem_type> & out,const Op<T1,op_unique> & in)143 op_unique::apply(Mat<typename T1::elem_type>& out, const Op<T1, op_unique>& in)
144   {
145   arma_extra_debug_sigprint();
146 
147   const Proxy<T1> P(in.m);
148 
149   const bool all_non_nan = op_unique::apply_helper(out, P, false);
150 
151   arma_debug_check( (all_non_nan == false), "unique(): detected NaN" );
152   }
153 
154 
155 
156 template<typename T1>
157 inline
158 void
apply(Mat<typename T1::elem_type> & out,const Op<T1,op_unique_vec> & in)159 op_unique_vec::apply(Mat<typename T1::elem_type>& out, const Op<T1, op_unique_vec>& in)
160   {
161   arma_extra_debug_sigprint();
162 
163   const Proxy<T1> P(in.m);
164 
165   const bool P_is_row = (T1::is_xvec) ? bool(P.get_n_rows() == 1) : bool(T1::is_row);
166 
167   const bool all_non_nan = op_unique::apply_helper(out, P, P_is_row);
168 
169   arma_debug_check( (all_non_nan == false), "unique(): detected NaN" );
170   }
171 
172 
173 
174 //! @}
175