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1 /*
2  * Copyright 2013 The Android Open Source Project
3  *
4  * Licensed under the Apache License, Version 2.0 (the "License");
5  * you may not use this file except in compliance with the License.
6  * You may obtain a copy of the License at
7  *
8  *      http://www.apache.org/licenses/LICENSE-2.0
9  *
10  * Unless required by applicable law or agreed to in writing, software
11  * distributed under the License is distributed on an "AS IS" BASIS,
12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13  * See the License for the specific language governing permissions and
14  * limitations under the License.
15  */
16 
17 #pragma once
18 
19 #include <math/TMatHelpers.h>
20 #include <math/vec2.h>
21 #include <stdint.h>
22 #include <sys/types.h>
23 
24 #define PURE __attribute__((pure))
25 
26 #if __cplusplus >= 201402L
27 #define CONSTEXPR constexpr
28 #else
29 #define CONSTEXPR
30 #endif
31 
32 namespace android {
33 // -------------------------------------------------------------------------------------
34 namespace details {
35 
36 /**
37  * A 2x2 column-major matrix class.
38  *
39  * Conceptually a 2x2 matrix is a an array of 2 column vec2:
40  *
41  * mat2 m =
42  *      \f$
43  *      \left(
44  *      \begin{array}{cc}
45  *      m[0] & m[1] \\
46  *      \end{array}
47  *      \right)
48  *      \f$
49  *      =
50  *      \f$
51  *      \left(
52  *      \begin{array}{cc}
53  *      m[0][0] & m[1][0] \\
54  *      m[0][1] & m[1][1] \\
55  *      \end{array}
56  *      \right)
57  *      \f$
58  *      =
59  *      \f$
60  *      \left(
61  *      \begin{array}{cc}
62  *      m(0,0) & m(0,1) \\
63  *      m(1,0) & m(1,1) \\
64  *      \end{array}
65  *      \right)
66  *      \f$
67  *
68  * m[n] is the \f$ n^{th} \f$ column of the matrix and is a vec2.
69  *
70  */
71 template <typename T>
72 class TMat22 :  public TVecUnaryOperators<TMat22, T>,
73                 public TVecComparisonOperators<TMat22, T>,
74                 public TVecAddOperators<TMat22, T>,
75                 public TMatProductOperators<TMat22, T>,
76                 public TMatSquareFunctions<TMat22, T>,
77                 public TMatHelpers<TMat22, T>,
78                 public TMatDebug<TMat22, T> {
79 public:
80     enum no_init { NO_INIT };
81     typedef T value_type;
82     typedef T& reference;
83     typedef T const& const_reference;
84     typedef size_t size_type;
85     typedef TVec2<T> col_type;
86     typedef TVec2<T> row_type;
87 
88     static constexpr size_t COL_SIZE = col_type::SIZE;  // size of a column (i.e.: number of rows)
89     static constexpr size_t ROW_SIZE = row_type::SIZE;  // size of a row (i.e.: number of columns)
90     static constexpr size_t NUM_ROWS = COL_SIZE;
91     static constexpr size_t NUM_COLS = ROW_SIZE;
92 
93 private:
94     /*
95      *  <--  N columns  -->
96      *
97      *  a[0][0] a[1][0] a[2][0] ... a[N][0]    ^
98      *  a[0][1] a[1][1] a[2][1] ... a[N][1]    |
99      *  a[0][2] a[1][2] a[2][2] ... a[N][2]  M rows
100      *  ...                                    |
101      *  a[0][M] a[1][M] a[2][M] ... a[N][M]    v
102      *
103      *  COL_SIZE = M
104      *  ROW_SIZE = N
105      *  m[0] = [ a[0][0] a[0][1] a[0][2] ... a[0][M] ]
106      */
107 
108     col_type m_value[NUM_COLS];
109 
110 public:
111     // array access
112     inline constexpr col_type const& operator[](size_t column) const {
113 #if __cplusplus >= 201402L
114         // only possible in C++0x14 with constexpr
115         assert(column < NUM_COLS);
116 #endif
117         return m_value[column];
118     }
119 
120     inline col_type& operator[](size_t column) {
121         assert(column < NUM_COLS);
122         return m_value[column];
123     }
124 
125     // -----------------------------------------------------------------------
126     // we want the compiler generated versions for these...
127     TMat22(const TMat22&) = default;
128     ~TMat22() = default;
129     TMat22& operator = (const TMat22&) = default;
130 
131     /**
132      *  constructors
133      */
134 
135     /**
136      * leaves object uninitialized. use with caution.
137      */
TMat22(no_init)138     explicit constexpr TMat22(no_init)
139             : m_value{ col_type(col_type::NO_INIT),
140                        col_type(col_type::NO_INIT) } {}
141 
142 
143     /**
144      * initialize to identity.
145      *
146      *      \f$
147      *      \left(
148      *      \begin{array}{cc}
149      *      1 & 0 \\
150      *      0 & 1 \\
151      *      \end{array}
152      *      \right)
153      *      \f$
154      */
155     CONSTEXPR TMat22();
156 
157     /**
158      * initialize to Identity*scalar.
159      *
160      *      \f$
161      *      \left(
162      *      \begin{array}{cc}
163      *      v & 0 \\
164      *      0 & v \\
165      *      \end{array}
166      *      \right)
167      *      \f$
168      */
169     template<typename U>
170     explicit CONSTEXPR TMat22(U v);
171 
172     /**
173      * sets the diagonal to a vector.
174      *
175      *      \f$
176      *      \left(
177      *      \begin{array}{cc}
178      *      v[0] & 0 \\
179      *      0 & v[1] \\
180      *      \end{array}
181      *      \right)
182      *      \f$
183      */
184     template <typename U>
185     explicit CONSTEXPR TMat22(const TVec2<U>& v);
186 
187     /**
188      * construct from another matrix of the same size
189      */
190     template <typename U>
191     explicit CONSTEXPR TMat22(const TMat22<U>& rhs);
192 
193     /**
194      * construct from 2 column vectors.
195      *
196      *      \f$
197      *      \left(
198      *      \begin{array}{cc}
199      *      v0 & v1 \\
200      *      \end{array}
201      *      \right)
202      *      \f$
203      */
204     template <typename A, typename B>
205     CONSTEXPR TMat22(const TVec2<A>& v0, const TVec2<B>& v1);
206 
207     /** construct from 4 elements in column-major form.
208      *
209      *      \f$
210      *      \left(
211      *      \begin{array}{cc}
212      *      m[0][0] & m[1][0] \\
213      *      m[0][1] & m[1][1] \\
214      *      \end{array}
215      *      \right)
216      *      \f$
217      */
218     template <
219         typename A, typename B,
220         typename C, typename D>
221     CONSTEXPR TMat22(A m00, B m01, C m10, D m11);
222 
223     /**
224      * construct from a C array in column major form.
225      */
226     template <typename U>
227     explicit CONSTEXPR TMat22(U const* rawArray);
228 
229     /**
230      * Rotate by radians in the 2D plane
231      */
rotate(T radian)232     static CONSTEXPR TMat22<T> rotate(T radian) {
233         TMat22<T> r(TMat22<T>::NO_INIT);
234         T c = std::cos(radian);
235         T s = std::sin(radian);
236         r[0][0] = c;   r[1][1] = c;
237         r[0][1] = s;   r[1][0] = -s;
238         return r;
239     }
240 };
241 
242 // ----------------------------------------------------------------------------------------
243 // Constructors
244 // ----------------------------------------------------------------------------------------
245 
246 // Since the matrix code could become pretty big quickly, we don't inline most
247 // operations.
248 
249 template <typename T>
TMat22()250 CONSTEXPR TMat22<T>::TMat22() {
251     m_value[0] = col_type(1, 0);
252     m_value[1] = col_type(0, 1);
253 }
254 
255 template <typename T>
256 template <typename U>
TMat22(U v)257 CONSTEXPR TMat22<T>::TMat22(U v) {
258     m_value[0] = col_type(v, 0);
259     m_value[1] = col_type(0, v);
260 }
261 
262 template<typename T>
263 template<typename U>
TMat22(const TVec2<U> & v)264 CONSTEXPR TMat22<T>::TMat22(const TVec2<U>& v) {
265     m_value[0] = col_type(v.x, 0);
266     m_value[1] = col_type(0, v.y);
267 }
268 
269 // construct from 4 scalars. Note that the arrangement
270 // of values in the constructor is the transpose of the matrix
271 // notation.
272 template<typename T>
273 template <
274     typename A, typename B,
275     typename C, typename D>
TMat22(A m00,B m01,C m10,D m11)276 CONSTEXPR TMat22<T>::TMat22( A m00, B m01, C m10, D m11) {
277     m_value[0] = col_type(m00, m01);
278     m_value[1] = col_type(m10, m11);
279 }
280 
281 template <typename T>
282 template <typename U>
TMat22(const TMat22<U> & rhs)283 CONSTEXPR TMat22<T>::TMat22(const TMat22<U>& rhs) {
284     for (size_t col = 0; col < NUM_COLS; ++col) {
285         m_value[col] = col_type(rhs[col]);
286     }
287 }
288 
289 // Construct from 2 column vectors.
290 template <typename T>
291 template <typename A, typename B>
TMat22(const TVec2<A> & v0,const TVec2<B> & v1)292 CONSTEXPR TMat22<T>::TMat22(const TVec2<A>& v0, const TVec2<B>& v1) {
293     m_value[0] = v0;
294     m_value[1] = v1;
295 }
296 
297 // Construct from raw array, in column-major form.
298 template <typename T>
299 template <typename U>
TMat22(U const * rawArray)300 CONSTEXPR TMat22<T>::TMat22(U const* rawArray) {
301     for (size_t col = 0; col < NUM_COLS; ++col) {
302         for (size_t row = 0; row < NUM_ROWS; ++row) {
303             m_value[col][row] = *rawArray++;
304         }
305     }
306 }
307 
308 // ----------------------------------------------------------------------------------------
309 // Arithmetic operators outside of class
310 // ----------------------------------------------------------------------------------------
311 
312 /* We use non-friend functions here to prevent the compiler from using
313  * implicit conversions, for instance of a scalar to a vector. The result would
314  * not be what the caller expects.
315  *
316  * Also note that the order of the arguments in the inner loop is important since
317  * it determines the output type (only relevant when T != U).
318  */
319 
320 // matrix * column-vector, result is a vector of the same type than the input vector
321 template <typename T, typename U>
322 CONSTEXPR typename TMat22<U>::col_type PURE operator *(const TMat22<T>& lhs, const TVec2<U>& rhs) {
323     // Result is initialized to zero.
324     typename TMat22<U>::col_type result;
325     for (size_t col = 0; col < TMat22<T>::NUM_COLS; ++col) {
326         result += lhs[col] * rhs[col];
327     }
328     return result;
329 }
330 
331 // row-vector * matrix, result is a vector of the same type than the input vector
332 template <typename T, typename U>
333 CONSTEXPR typename TMat22<U>::row_type PURE operator *(const TVec2<U>& lhs, const TMat22<T>& rhs) {
334     typename TMat22<U>::row_type result(TMat22<U>::row_type::NO_INIT);
335     for (size_t col = 0; col < TMat22<T>::NUM_COLS; ++col) {
336         result[col] = dot(lhs, rhs[col]);
337     }
338     return result;
339 }
340 
341 // matrix * scalar, result is a matrix of the same type than the input matrix
342 template<typename T, typename U>
343 constexpr typename std::enable_if<std::is_arithmetic<U>::value, TMat22<T>>::type PURE
344 operator*(TMat22<T> lhs, U rhs) {
345     return lhs *= rhs;
346 }
347 
348 // scalar * matrix, result is a matrix of the same type than the input matrix
349 template<typename T, typename U>
350 constexpr typename std::enable_if<std::is_arithmetic<U>::value, TMat22<T>>::type PURE
351 operator*(U lhs, const TMat22<T>& rhs) {
352     return rhs * lhs;
353 }
354 
355 // ----------------------------------------------------------------------------------------
356 
357 /* FIXME: this should go into TMatSquareFunctions<> but for some reason
358  * BASE<T>::col_type is not accessible from there (???)
359  */
360 template<typename T>
diag(const TMat22<T> & m)361 CONSTEXPR typename TMat22<T>::col_type PURE diag(const TMat22<T>& m) {
362     return matrix::diag(m);
363 }
364 
365 }  // namespace details
366 
367 // ----------------------------------------------------------------------------------------
368 
369 typedef details::TMat22<double> mat2d;
370 typedef details::TMat22<float> mat2;
371 typedef details::TMat22<float> mat2f;
372 
373 // ----------------------------------------------------------------------------------------
374 }  // namespace android
375 
376 #undef PURE
377 #undef CONSTEXPR
378