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1 | {-# LANGUAGE TypeFamilies #-} | ||
2 | {-# LANGUAGE FlexibleContexts #-} | ||
3 | {-# LANGUAGE FlexibleInstances #-} | ||
4 | {-# LANGUAGE UndecidableInstances #-} | ||
5 | {-# LANGUAGE MultiParamTypeClasses #-} | ||
6 | {-# LANGUAGE CPP #-} | ||
7 | |||
8 | ----------------------------------------------------------------------------- | ||
9 | -- | | ||
10 | -- Module : Data.Packed.Matrix | ||
11 | -- Copyright : (c) Alberto Ruiz 2007-10 | ||
12 | -- License : BSD3 | ||
13 | -- Maintainer : Alberto Ruiz | ||
14 | -- Stability : provisional | ||
15 | -- | ||
16 | -- A Matrix representation suitable for numerical computations using LAPACK and GSL. | ||
17 | -- | ||
18 | -- This module provides basic functions for manipulation of structure. | ||
19 | |||
20 | ----------------------------------------------------------------------------- | ||
21 | {-# OPTIONS_HADDOCK hide #-} | ||
22 | |||
23 | module Data.Packed.Matrix ( | ||
24 | Matrix, | ||
25 | Element, | ||
26 | rows,cols, | ||
27 | (><), | ||
28 | trans, | ||
29 | reshape, flatten, | ||
30 | fromLists, toLists, buildMatrix, | ||
31 | (@@>), | ||
32 | asRow, asColumn, | ||
33 | fromRows, toRows, fromColumns, toColumns, | ||
34 | fromBlocks, diagBlock, toBlocks, toBlocksEvery, | ||
35 | repmat, | ||
36 | flipud, fliprl, subMatrix, | ||
37 | takeRows, takeLastRows, dropRows, dropLastRows, | ||
38 | takeColumns, takeLastColumns, dropColumns, dropLastColumns, | ||
39 | extractRows, extractColumns, | ||
40 | diagRect, takeDiag, | ||
41 | mapMatrix, mapMatrixWithIndex, mapMatrixWithIndexM, mapMatrixWithIndexM_, | ||
42 | liftMatrix, liftMatrix2, liftMatrix2Auto,fromArray2D | ||
43 | ) where | ||
44 | |||
45 | import Data.Packed.Internal | ||
46 | import qualified Data.Packed.ST as ST | ||
47 | import Data.Array | ||
48 | |||
49 | import Data.List(transpose,intersperse) | ||
50 | import Foreign.Storable(Storable) | ||
51 | import Control.Monad(liftM) | ||
52 | |||
53 | ------------------------------------------------------------------- | ||
54 | |||
55 | #ifdef BINARY | ||
56 | |||
57 | import Data.Binary | ||
58 | |||
59 | instance (Binary (Vector a), Element a) => Binary (Matrix a) where | ||
60 | put m = do | ||
61 | put (cols m) | ||
62 | put (flatten m) | ||
63 | get = do | ||
64 | c <- get | ||
65 | v <- get | ||
66 | return (reshape c v) | ||
67 | |||
68 | #endif | ||
69 | |||
70 | ------------------------------------------------------------------- | ||
71 | |||
72 | instance (Show a, Element a) => (Show (Matrix a)) where | ||
73 | show m | rows m == 0 || cols m == 0 = sizes m ++" []" | ||
74 | show m = (sizes m++) . dsp . map (map show) . toLists $ m | ||
75 | |||
76 | sizes m = "("++show (rows m)++"><"++show (cols m)++")\n" | ||
77 | |||
78 | dsp as = (++" ]") . (" ["++) . init . drop 2 . unlines . map (" , "++) . map unwords' $ transpose mtp | ||
79 | where | ||
80 | mt = transpose as | ||
81 | longs = map (maximum . map length) mt | ||
82 | mtp = zipWith (\a b -> map (pad a) b) longs mt | ||
83 | pad n str = replicate (n - length str) ' ' ++ str | ||
84 | unwords' = concat . intersperse ", " | ||
85 | |||
86 | ------------------------------------------------------------------ | ||
87 | |||
88 | instance (Element a, Read a) => Read (Matrix a) where | ||
89 | readsPrec _ s = [((rs><cs) . read $ listnums, rest)] | ||
90 | where (thing,rest) = breakAt ']' s | ||
91 | (dims,listnums) = breakAt ')' thing | ||
92 | cs = read . init . fst. breakAt ')' . snd . breakAt '<' $ dims | ||
93 | rs = read . snd . breakAt '(' .init . fst . breakAt '>' $ dims | ||
94 | |||
95 | |||
96 | breakAt c l = (a++[c],tail b) where | ||
97 | (a,b) = break (==c) l | ||
98 | |||
99 | ------------------------------------------------------------------ | ||
100 | |||
101 | -- | creates a matrix from a vertical list of matrices | ||
102 | joinVert :: Element t => [Matrix t] -> Matrix t | ||
103 | joinVert [] = emptyM 0 0 | ||
104 | joinVert ms = case common cols ms of | ||
105 | Nothing -> error "(impossible) joinVert on matrices with different number of columns" | ||
106 | Just c -> matrixFromVector RowMajor (sum (map rows ms)) c $ vjoin (map flatten ms) | ||
107 | |||
108 | -- | creates a matrix from a horizontal list of matrices | ||
109 | joinHoriz :: Element t => [Matrix t] -> Matrix t | ||
110 | joinHoriz ms = trans. joinVert . map trans $ ms | ||
111 | |||
112 | {- | Create a matrix from blocks given as a list of lists of matrices. | ||
113 | |||
114 | Single row-column components are automatically expanded to match the | ||
115 | corresponding common row and column: | ||
116 | |||
117 | @ | ||
118 | disp = putStr . dispf 2 | ||
119 | @ | ||
120 | |||
121 | >>> disp $ fromBlocks [[ident 5, 7, row[10,20]], [3, diagl[1,2,3], 0]] | ||
122 | 8x10 | ||
123 | 1 0 0 0 0 7 7 7 10 20 | ||
124 | 0 1 0 0 0 7 7 7 10 20 | ||
125 | 0 0 1 0 0 7 7 7 10 20 | ||
126 | 0 0 0 1 0 7 7 7 10 20 | ||
127 | 0 0 0 0 1 7 7 7 10 20 | ||
128 | 3 3 3 3 3 1 0 0 0 0 | ||
129 | 3 3 3 3 3 0 2 0 0 0 | ||
130 | 3 3 3 3 3 0 0 3 0 0 | ||
131 | |||
132 | -} | ||
133 | fromBlocks :: Element t => [[Matrix t]] -> Matrix t | ||
134 | fromBlocks = fromBlocksRaw . adaptBlocks | ||
135 | |||
136 | fromBlocksRaw mms = joinVert . map joinHoriz $ mms | ||
137 | |||
138 | adaptBlocks ms = ms' where | ||
139 | bc = case common length ms of | ||
140 | Just c -> c | ||
141 | Nothing -> error "fromBlocks requires rectangular [[Matrix]]" | ||
142 | rs = map (compatdim . map rows) ms | ||
143 | cs = map (compatdim . map cols) (transpose ms) | ||
144 | szs = sequence [rs,cs] | ||
145 | ms' = splitEvery bc $ zipWith g szs (concat ms) | ||
146 | |||
147 | g [Just nr,Just nc] m | ||
148 | | nr == r && nc == c = m | ||
149 | | r == 1 && c == 1 = matrixFromVector RowMajor nr nc (constantD x (nr*nc)) | ||
150 | | r == 1 = fromRows (replicate nr (flatten m)) | ||
151 | | otherwise = fromColumns (replicate nc (flatten m)) | ||
152 | where | ||
153 | r = rows m | ||
154 | c = cols m | ||
155 | x = m@@>(0,0) | ||
156 | g _ _ = error "inconsistent dimensions in fromBlocks" | ||
157 | |||
158 | |||
159 | -------------------------------------------------------------------------------- | ||
160 | |||
161 | {- | create a block diagonal matrix | ||
162 | |||
163 | >>> disp 2 $ diagBlock [konst 1 (2,2), konst 2 (3,5), col [5,7]] | ||
164 | 7x8 | ||
165 | 1 1 0 0 0 0 0 0 | ||
166 | 1 1 0 0 0 0 0 0 | ||
167 | 0 0 2 2 2 2 2 0 | ||
168 | 0 0 2 2 2 2 2 0 | ||
169 | 0 0 2 2 2 2 2 0 | ||
170 | 0 0 0 0 0 0 0 5 | ||
171 | 0 0 0 0 0 0 0 7 | ||
172 | |||
173 | >>> diagBlock [(0><4)[], konst 2 (2,3)] :: Matrix Double | ||
174 | (2><7) | ||
175 | [ 0.0, 0.0, 0.0, 0.0, 2.0, 2.0, 2.0 | ||
176 | , 0.0, 0.0, 0.0, 0.0, 2.0, 2.0, 2.0 ] | ||
177 | |||
178 | -} | ||
179 | diagBlock :: (Element t, Num t) => [Matrix t] -> Matrix t | ||
180 | diagBlock ms = fromBlocks $ zipWith f ms [0..] | ||
181 | where | ||
182 | f m k = take n $ replicate k z ++ m : repeat z | ||
183 | n = length ms | ||
184 | z = (1><1) [0] | ||
185 | |||
186 | -------------------------------------------------------------------------------- | ||
187 | |||
188 | |||
189 | -- | Reverse rows | ||
190 | flipud :: Element t => Matrix t -> Matrix t | ||
191 | flipud m = extractRows [r-1,r-2 .. 0] $ m | ||
192 | where | ||
193 | r = rows m | ||
194 | |||
195 | -- | Reverse columns | ||
196 | fliprl :: Element t => Matrix t -> Matrix t | ||
197 | fliprl m = extractColumns [c-1,c-2 .. 0] $ m | ||
198 | where | ||
199 | c = cols m | ||
200 | |||
201 | ------------------------------------------------------------ | ||
202 | |||
203 | {- | creates a rectangular diagonal matrix: | ||
204 | |||
205 | >>> diagRect 7 (fromList [10,20,30]) 4 5 :: Matrix Double | ||
206 | (4><5) | ||
207 | [ 10.0, 7.0, 7.0, 7.0, 7.0 | ||
208 | , 7.0, 20.0, 7.0, 7.0, 7.0 | ||
209 | , 7.0, 7.0, 30.0, 7.0, 7.0 | ||
210 | , 7.0, 7.0, 7.0, 7.0, 7.0 ] | ||
211 | |||
212 | -} | ||
213 | diagRect :: (Storable t) => t -> Vector t -> Int -> Int -> Matrix t | ||
214 | diagRect z v r c = ST.runSTMatrix $ do | ||
215 | m <- ST.newMatrix z r c | ||
216 | let d = min r c `min` (dim v) | ||
217 | mapM_ (\k -> ST.writeMatrix m k k (v@>k)) [0..d-1] | ||
218 | return m | ||
219 | |||
220 | -- | extracts the diagonal from a rectangular matrix | ||
221 | takeDiag :: (Element t) => Matrix t -> Vector t | ||
222 | takeDiag m = fromList [flatten m `at` (k*cols m+k) | k <- [0 .. min (rows m) (cols m) -1]] | ||
223 | |||
224 | ------------------------------------------------------------ | ||
225 | |||
226 | {- | create a general matrix | ||
227 | |||
228 | >>> (2><3) [2, 4, 7+2*𝑖, -3, 11, 0] | ||
229 | (2><3) | ||
230 | [ 2.0 :+ 0.0, 4.0 :+ 0.0, 7.0 :+ 2.0 | ||
231 | , (-3.0) :+ (-0.0), 11.0 :+ 0.0, 0.0 :+ 0.0 ] | ||
232 | |||
233 | The input list is explicitly truncated, so that it can | ||
234 | safely be used with lists that are too long (like infinite lists). | ||
235 | |||
236 | >>> (2><3)[1..] | ||
237 | (2><3) | ||
238 | [ 1.0, 2.0, 3.0 | ||
239 | , 4.0, 5.0, 6.0 ] | ||
240 | |||
241 | This is the format produced by the instances of Show (Matrix a), which | ||
242 | can also be used for input. | ||
243 | |||
244 | -} | ||
245 | (><) :: (Storable a) => Int -> Int -> [a] -> Matrix a | ||
246 | r >< c = f where | ||
247 | f l | dim v == r*c = matrixFromVector RowMajor r c v | ||
248 | | otherwise = error $ "inconsistent list size = " | ||
249 | ++show (dim v) ++" in ("++show r++"><"++show c++")" | ||
250 | where v = fromList $ take (r*c) l | ||
251 | |||
252 | ---------------------------------------------------------------- | ||
253 | |||
254 | -- | Creates a matrix with the first n rows of another matrix | ||
255 | takeRows :: Element t => Int -> Matrix t -> Matrix t | ||
256 | takeRows n mt = subMatrix (0,0) (n, cols mt) mt | ||
257 | -- | Creates a matrix with the last n rows of another matrix | ||
258 | takeLastRows :: Element t => Int -> Matrix t -> Matrix t | ||
259 | takeLastRows n mt = subMatrix (rows mt - n, 0) (n, cols mt) mt | ||
260 | -- | Creates a copy of a matrix without the first n rows | ||
261 | dropRows :: Element t => Int -> Matrix t -> Matrix t | ||
262 | dropRows n mt = subMatrix (n,0) (rows mt - n, cols mt) mt | ||
263 | -- | Creates a copy of a matrix without the last n rows | ||
264 | dropLastRows :: Element t => Int -> Matrix t -> Matrix t | ||
265 | dropLastRows n mt = subMatrix (0,0) (rows mt - n, cols mt) mt | ||
266 | -- |Creates a matrix with the first n columns of another matrix | ||
267 | takeColumns :: Element t => Int -> Matrix t -> Matrix t | ||
268 | takeColumns n mt = subMatrix (0,0) (rows mt, n) mt | ||
269 | -- |Creates a matrix with the last n columns of another matrix | ||
270 | takeLastColumns :: Element t => Int -> Matrix t -> Matrix t | ||
271 | takeLastColumns n mt = subMatrix (0, cols mt - n) (rows mt, n) mt | ||
272 | -- | Creates a copy of a matrix without the first n columns | ||
273 | dropColumns :: Element t => Int -> Matrix t -> Matrix t | ||
274 | dropColumns n mt = subMatrix (0,n) (rows mt, cols mt - n) mt | ||
275 | -- | Creates a copy of a matrix without the last n columns | ||
276 | dropLastColumns :: Element t => Int -> Matrix t -> Matrix t | ||
277 | dropLastColumns n mt = subMatrix (0,0) (rows mt, cols mt - n) mt | ||
278 | |||
279 | ---------------------------------------------------------------- | ||
280 | |||
281 | {- | Creates a 'Matrix' from a list of lists (considered as rows). | ||
282 | |||
283 | >>> fromLists [[1,2],[3,4],[5,6]] | ||
284 | (3><2) | ||
285 | [ 1.0, 2.0 | ||
286 | , 3.0, 4.0 | ||
287 | , 5.0, 6.0 ] | ||
288 | |||
289 | -} | ||
290 | fromLists :: Element t => [[t]] -> Matrix t | ||
291 | fromLists = fromRows . map fromList | ||
292 | |||
293 | -- | creates a 1-row matrix from a vector | ||
294 | -- | ||
295 | -- >>> asRow (fromList [1..5]) | ||
296 | -- (1><5) | ||
297 | -- [ 1.0, 2.0, 3.0, 4.0, 5.0 ] | ||
298 | -- | ||
299 | asRow :: Storable a => Vector a -> Matrix a | ||
300 | asRow = trans . asColumn | ||
301 | |||
302 | -- | creates a 1-column matrix from a vector | ||
303 | -- | ||
304 | -- >>> asColumn (fromList [1..5]) | ||
305 | -- (5><1) | ||
306 | -- [ 1.0 | ||
307 | -- , 2.0 | ||
308 | -- , 3.0 | ||
309 | -- , 4.0 | ||
310 | -- , 5.0 ] | ||
311 | -- | ||
312 | asColumn :: Storable a => Vector a -> Matrix a | ||
313 | asColumn v = reshape 1 v | ||
314 | |||
315 | |||
316 | |||
317 | {- | creates a Matrix of the specified size using the supplied function to | ||
318 | to map the row\/column position to the value at that row\/column position. | ||
319 | |||
320 | @> buildMatrix 3 4 (\\(r,c) -> fromIntegral r * fromIntegral c) | ||
321 | (3><4) | ||
322 | [ 0.0, 0.0, 0.0, 0.0, 0.0 | ||
323 | , 0.0, 1.0, 2.0, 3.0, 4.0 | ||
324 | , 0.0, 2.0, 4.0, 6.0, 8.0]@ | ||
325 | |||
326 | Hilbert matrix of order N: | ||
327 | |||
328 | @hilb n = buildMatrix n n (\\(i,j)->1/(fromIntegral i + fromIntegral j +1))@ | ||
329 | |||
330 | -} | ||
331 | buildMatrix :: Element a => Int -> Int -> ((Int, Int) -> a) -> Matrix a | ||
332 | buildMatrix rc cc f = | ||
333 | fromLists $ map (map f) | ||
334 | $ map (\ ri -> map (\ ci -> (ri, ci)) [0 .. (cc - 1)]) [0 .. (rc - 1)] | ||
335 | |||
336 | ----------------------------------------------------- | ||
337 | |||
338 | fromArray2D :: (Storable e) => Array (Int, Int) e -> Matrix e | ||
339 | fromArray2D m = (r><c) (elems m) | ||
340 | where ((r0,c0),(r1,c1)) = bounds m | ||
341 | r = r1-r0+1 | ||
342 | c = c1-c0+1 | ||
343 | |||
344 | |||
345 | -- | rearranges the rows of a matrix according to the order given in a list of integers. | ||
346 | extractRows :: Element t => [Int] -> Matrix t -> Matrix t | ||
347 | extractRows [] m = emptyM 0 (cols m) | ||
348 | extractRows l m = fromRows $ extract (toRows m) l | ||
349 | where | ||
350 | extract l' is = [l'!!i | i<- map verify is] | ||
351 | verify k | ||
352 | | k >= 0 && k < rows m = k | ||
353 | | otherwise = error $ "can't extract row " | ||
354 | ++show k++" in list " ++ show l ++ " from matrix " ++ shSize m | ||
355 | |||
356 | -- | rearranges the rows of a matrix according to the order given in a list of integers. | ||
357 | extractColumns :: Element t => [Int] -> Matrix t -> Matrix t | ||
358 | extractColumns l m = trans . extractRows (map verify l) . trans $ m | ||
359 | where | ||
360 | verify k | ||
361 | | k >= 0 && k < cols m = k | ||
362 | | otherwise = error $ "can't extract column " | ||
363 | ++show k++" in list " ++ show l ++ " from matrix " ++ shSize m | ||
364 | |||
365 | |||
366 | |||
367 | {- | creates matrix by repetition of a matrix a given number of rows and columns | ||
368 | |||
369 | >>> repmat (ident 2) 2 3 | ||
370 | (4><6) | ||
371 | [ 1.0, 0.0, 1.0, 0.0, 1.0, 0.0 | ||
372 | , 0.0, 1.0, 0.0, 1.0, 0.0, 1.0 | ||
373 | , 1.0, 0.0, 1.0, 0.0, 1.0, 0.0 | ||
374 | , 0.0, 1.0, 0.0, 1.0, 0.0, 1.0 ] | ||
375 | |||
376 | -} | ||
377 | repmat :: (Element t) => Matrix t -> Int -> Int -> Matrix t | ||
378 | repmat m r c | ||
379 | | r == 0 || c == 0 = emptyM (r*rows m) (c*cols m) | ||
380 | | otherwise = fromBlocks $ replicate r $ replicate c $ m | ||
381 | |||
382 | -- | A version of 'liftMatrix2' which automatically adapt matrices with a single row or column to match the dimensions of the other matrix. | ||
383 | liftMatrix2Auto :: (Element t, Element a, Element b) => (Vector a -> Vector b -> Vector t) -> Matrix a -> Matrix b -> Matrix t | ||
384 | liftMatrix2Auto f m1 m2 | ||
385 | | compat' m1 m2 = lM f m1 m2 | ||
386 | | ok = lM f m1' m2' | ||
387 | | otherwise = error $ "nonconformable matrices in liftMatrix2Auto: " ++ shSize m1 ++ ", " ++ shSize m2 | ||
388 | where | ||
389 | (r1,c1) = size m1 | ||
390 | (r2,c2) = size m2 | ||
391 | r = max r1 r2 | ||
392 | c = max c1 c2 | ||
393 | r0 = min r1 r2 | ||
394 | c0 = min c1 c2 | ||
395 | ok = r0 == 1 || r1 == r2 && c0 == 1 || c1 == c2 | ||
396 | m1' = conformMTo (r,c) m1 | ||
397 | m2' = conformMTo (r,c) m2 | ||
398 | |||
399 | -- FIXME do not flatten if equal order | ||
400 | lM f m1 m2 = matrixFromVector | ||
401 | RowMajor | ||
402 | (max (rows m1) (rows m2)) | ||
403 | (max (cols m1) (cols m2)) | ||
404 | (f (flatten m1) (flatten m2)) | ||
405 | |||
406 | compat' :: Matrix a -> Matrix b -> Bool | ||
407 | compat' m1 m2 = s1 == (1,1) || s2 == (1,1) || s1 == s2 | ||
408 | where | ||
409 | s1 = size m1 | ||
410 | s2 = size m2 | ||
411 | |||
412 | ------------------------------------------------------------ | ||
413 | |||
414 | toBlockRows [r] m | ||
415 | | r == rows m = [m] | ||
416 | toBlockRows rs m | ||
417 | | cols m > 0 = map (reshape (cols m)) (takesV szs (flatten m)) | ||
418 | | otherwise = map g rs | ||
419 | where | ||
420 | szs = map (* cols m) rs | ||
421 | g k = (k><0)[] | ||
422 | |||
423 | toBlockCols [c] m | c == cols m = [m] | ||
424 | toBlockCols cs m = map trans . toBlockRows cs . trans $ m | ||
425 | |||
426 | -- | Partition a matrix into blocks with the given numbers of rows and columns. | ||
427 | -- The remaining rows and columns are discarded. | ||
428 | toBlocks :: (Element t) => [Int] -> [Int] -> Matrix t -> [[Matrix t]] | ||
429 | toBlocks rs cs m | ||
430 | | ok = map (toBlockCols cs) . toBlockRows rs $ m | ||
431 | | otherwise = error $ "toBlocks: bad partition: "++show rs++" "++show cs | ||
432 | ++ " "++shSize m | ||
433 | where | ||
434 | ok = sum rs <= rows m && sum cs <= cols m && all (>=0) rs && all (>=0) cs | ||
435 | |||
436 | -- | Fully partition a matrix into blocks of the same size. If the dimensions are not | ||
437 | -- a multiple of the given size the last blocks will be smaller. | ||
438 | toBlocksEvery :: (Element t) => Int -> Int -> Matrix t -> [[Matrix t]] | ||
439 | toBlocksEvery r c m | ||
440 | | r < 1 || c < 1 = error $ "toBlocksEvery expects block sizes > 0, given "++show r++" and "++ show c | ||
441 | | otherwise = toBlocks rs cs m | ||
442 | where | ||
443 | (qr,rr) = rows m `divMod` r | ||
444 | (qc,rc) = cols m `divMod` c | ||
445 | rs = replicate qr r ++ if rr > 0 then [rr] else [] | ||
446 | cs = replicate qc c ++ if rc > 0 then [rc] else [] | ||
447 | |||
448 | ------------------------------------------------------------------- | ||
449 | |||
450 | -- Given a column number and a function taking matrix indexes, returns | ||
451 | -- a function which takes vector indexes (that can be used on the | ||
452 | -- flattened matrix). | ||
453 | mk :: Int -> ((Int, Int) -> t) -> (Int -> t) | ||
454 | mk c g = \k -> g (divMod k c) | ||
455 | |||
456 | {- | | ||
457 | |||
458 | >>> mapMatrixWithIndexM_ (\(i,j) v -> printf "m[%d,%d] = %.f\n" i j v :: IO()) ((2><3)[1 :: Double ..]) | ||
459 | m[0,0] = 1 | ||
460 | m[0,1] = 2 | ||
461 | m[0,2] = 3 | ||
462 | m[1,0] = 4 | ||
463 | m[1,1] = 5 | ||
464 | m[1,2] = 6 | ||
465 | |||
466 | -} | ||
467 | mapMatrixWithIndexM_ | ||
468 | :: (Element a, Num a, Monad m) => | ||
469 | ((Int, Int) -> a -> m ()) -> Matrix a -> m () | ||
470 | mapMatrixWithIndexM_ g m = mapVectorWithIndexM_ (mk c g) . flatten $ m | ||
471 | where | ||
472 | c = cols m | ||
473 | |||
474 | {- | | ||
475 | |||
476 | >>> mapMatrixWithIndexM (\(i,j) v -> Just $ 100*v + 10*fromIntegral i + fromIntegral j) (ident 3:: Matrix Double) | ||
477 | Just (3><3) | ||
478 | [ 100.0, 1.0, 2.0 | ||
479 | , 10.0, 111.0, 12.0 | ||
480 | , 20.0, 21.0, 122.0 ] | ||
481 | |||
482 | -} | ||
483 | mapMatrixWithIndexM | ||
484 | :: (Element a, Storable b, Monad m) => | ||
485 | ((Int, Int) -> a -> m b) -> Matrix a -> m (Matrix b) | ||
486 | mapMatrixWithIndexM g m = liftM (reshape c) . mapVectorWithIndexM (mk c g) . flatten $ m | ||
487 | where | ||
488 | c = cols m | ||
489 | |||
490 | {- | | ||
491 | |||
492 | >>> mapMatrixWithIndex (\(i,j) v -> 100*v + 10*fromIntegral i + fromIntegral j) (ident 3:: Matrix Double) | ||
493 | (3><3) | ||
494 | [ 100.0, 1.0, 2.0 | ||
495 | , 10.0, 111.0, 12.0 | ||
496 | , 20.0, 21.0, 122.0 ] | ||
497 | |||
498 | -} | ||
499 | mapMatrixWithIndex | ||
500 | :: (Element a, Storable b) => | ||
501 | ((Int, Int) -> a -> b) -> Matrix a -> Matrix b | ||
502 | mapMatrixWithIndex g m = reshape c . mapVectorWithIndex (mk c g) . flatten $ m | ||
503 | where | ||
504 | c = cols m | ||
505 | |||
506 | mapMatrix :: (Storable a, Storable b) => (a -> b) -> Matrix a -> Matrix b | ||
507 | mapMatrix f = liftMatrix (mapVector f) | ||