{-# LANGUAGE CPP #-}
{-# LANGUAGE RankNTypes #-}
{-# LANGUAGE TypeFamilies #-}
#if defined(__GLASGOW_HASKELL__) && __GLASGOW_HASKELL__ >= 702
{-# LANGUAGE Trustworthy #-}
#endif

---------------------------------------------------------------------------
-- |
-- Copyright   :  (C) 2012-2015 Edward Kmett
-- License     :  BSD-style (see the file LICENSE)
--
-- Maintainer  :  Edward Kmett <ekmett@gmail.com>
-- Stability   :  experimental
-- Portability :  non-portable
--
-- Simple matrix operation for low-dimensional primitives.
---------------------------------------------------------------------------
module Linear.Matrix
  ( (!*!), (!+!), (!-!), (!*), (*!), (!!*), (*!!), (!!/)
  , column
  , adjoint
  , M22, M23, M24, M32, M33, M34, M42, M43, M44
  , m33_to_m44, m43_to_m44
  , det22, det33, det44, inv22, inv33, inv44
  , identity
  , Trace(..)
  , translation
  , transpose
  , fromQuaternion
  , mkTransformation
  , mkTransformationMat
  , _m22, _m23, _m24
  , _m32, _m33, _m34
  , _m42, _m43, _m44
  ) where

#if __GLASGOW_HASKELL__ < 710
import Control.Applicative
#endif
import Control.Lens hiding (index)
import Control.Lens.Internal.Context
import Control.Monad (guard)
import Data.Distributive
import Data.Foldable as Foldable
import Data.Functor.Rep
import Linear.Epsilon
import Linear.Quaternion
import Linear.V2
import Linear.V3
import Linear.V4
import Linear.Vector
import Linear.Conjugate
import Linear.Trace

#ifdef HLINT
{-# ANN module "HLint: ignore Reduce duplication" #-}
#endif

-- | This is a generalization of 'Control.Lens.inside' to work over any corepresentable 'Functor'.
--
-- @
-- 'column' :: 'Representable' f => 'Lens' s t a b -> 'Lens' (f s) (f t) (f a) (f b)
-- @
--
-- In practice it is used to access a column of a matrix.
--
-- >>> V2 (V3 1 2 3) (V3 4 5 6) ^._x
-- V3 1 2 3
--
-- >>> V2 (V3 1 2 3) (V3 4 5 6) ^.column _x
-- V2 1 4
column :: Representable f => LensLike (Context a b) s t a b -> Lens (f s) (f t) (f a) (f b)
column l f es = o <$> f i where
   go = l (Context id)
   i = tabulate $ \ e -> ipos $ go (index es e)
   o eb = tabulate $ \ e -> ipeek (index eb e) (go (index es e))

-- $setup
-- >>> import Data.Complex
-- >>> import Data.IntMap
-- >>> import Debug.SimpleReflect.Vars
-- >>> import Linear.V

infixl 7 !*!
-- | Matrix product. This can compute any combination of sparse and dense multiplication.
--
-- >>> V2 (V3 1 2 3) (V3 4 5 6) !*! V3 (V2 1 2) (V2 3 4) (V2 4 5)
-- V2 (V2 19 25) (V2 43 58)
--
-- >>> V2 (fromList [(1,2)]) (fromList [(2,3)]) !*! fromList [(1,V3 0 0 1), (2, V3 0 0 5)]
-- V2 (V3 0 0 2) (V3 0 0 15)
(!*!) :: (Functor m, Foldable t, Additive t, Additive n, Num a) => m (t a) -> t (n a) -> m (n a)
f !*! g = fmap (\ f' -> Foldable.foldl' (^+^) zero $ liftI2 (*^) f' g) f

infixl 6 !+!
-- | Entry-wise matrix addition.
--
-- >>> V2 (V3 1 2 3) (V3 4 5 6) !+! V2 (V3 7 8 9) (V3 1 2 3)
-- V2 (V3 8 10 12) (V3 5 7 9)
(!+!) :: (Additive m, Additive n, Num a) => m (n a) -> m (n a) -> m (n a)
as !+! bs = liftU2 (^+^) as bs

infixl 6 !-!
-- | Entry-wise matrix subtraction.
--
-- >>> V2 (V3 1 2 3) (V3 4 5 6) !-! V2 (V3 7 8 9) (V3 1 2 3)
-- V2 (V3 (-6) (-6) (-6)) (V3 3 3 3)
(!-!) :: (Additive m, Additive n, Num a) => m (n a) -> m (n a) -> m (n a)
as !-! bs = liftU2 (^-^) as bs

infixl 7 !*
-- | Matrix * column vector
--
-- >>> V2 (V3 1 2 3) (V3 4 5 6) !* V3 7 8 9
-- V2 50 122
(!*) :: (Functor m, Foldable r, Additive r, Num a) => m (r a) -> r a -> m a
m !* v = fmap (\r -> Foldable.sum $ liftI2 (*) r v) m

infixl 7 *!
-- | Row vector * matrix
--
-- >>> V2 1 2 *! V2 (V3 3 4 5) (V3 6 7 8)
-- V3 15 18 21

-- (*!) :: (Metric r, Additive n, Num a) => r a -> r (n a) -> n a
-- f *! g = dot f <$> distribute g

(*!) :: (Num a, Foldable t, Additive f, Additive t) => t a -> t (f a) -> f a
f *! g = sumV $ liftI2 (*^) f g

infixl 7 *!!
-- | Scalar-matrix product
--
-- >>> 5 *!! V2 (V2 1 2) (V2 3 4)
-- V2 (V2 5 10) (V2 15 20)
(*!!) :: (Functor m, Functor r, Num a) => a -> m (r a) -> m (r a)
s *!! m = fmap (s *^) m
{-# INLINE (*!!) #-}

infixl 7 !!*
-- | Matrix-scalar product
--
-- >>> V2 (V2 1 2) (V2 3 4) !!* 5
-- V2 (V2 5 10) (V2 15 20)
(!!*) :: (Functor m, Functor r, Num a) => m (r a) -> a -> m (r a)
(!!*) = flip (*!!)
{-# INLINE (!!*) #-}

infixl 7 !!/
-- | Matrix-scalar division
(!!/) :: (Functor m, Functor r, Fractional a) => m (r a) -> a -> m (r a)
m !!/ s = fmap (^/ s) m
{-# INLINE (!!/) #-}

-- | Hermitian conjugate or conjugate transpose
--
-- >>> adjoint (V2 (V2 (1 :+ 2) (3 :+ 4)) (V2 (5 :+ 6) (7 :+ 8)))
-- V2 (V2 (1.0 :+ (-2.0)) (5.0 :+ (-6.0))) (V2 (3.0 :+ (-4.0)) (7.0 :+ (-8.0)))
adjoint :: (Functor m, Distributive n, Conjugate a) => m (n a) -> n (m a)
adjoint = collect (fmap conjugate)
{-# INLINE adjoint #-}

-- * Matrices
--
-- Matrices use a row-major representation.

-- | A 2x2 matrix with row-major representation
type M22 a = V2 (V2 a)
-- | A 2x3 matrix with row-major representation
type M23 a = V2 (V3 a)
-- | A 2x3 matrix with row-major representation
type M24 a = V2 (V4 a)
-- | A 3x2 matrix with row-major representation
type M32 a = V3 (V2 a)
-- | A 3x3 matrix with row-major representation
type M33 a = V3 (V3 a)
-- | A 3x4 matrix with row-major representation
type M34 a = V3 (V4 a)
-- | A 4x2 matrix with row-major representation
type M42 a = V4 (V2 a)
-- | A 4x3 matrix with row-major representation
type M43 a = V4 (V3 a)
-- | A 4x4 matrix with row-major representation
type M44 a = V4 (V4 a)

-- | Build a rotation matrix from a unit 'Quaternion'.
fromQuaternion :: Num a => Quaternion a -> M33 a
fromQuaternion (Quaternion w (V3 x y z)) =
  V3 (V3 (1-2*(y2+z2)) (2*(x*y-z*w)) (2*(x*z+y*w)))
     (V3 (2*(x*y+z*w)) (1-2*(x2+z2)) (2*(y*z-x*w)))
     (V3 (2*(x*z-y*w)) (2*(y*z+x*w)) (1-2*(x2+y2)))
  where x2 = x * x
        y2 = y * y
        z2 = z * z
{-# INLINE fromQuaternion #-}

-- | Build a transformation matrix from a rotation matrix and a
-- translation vector.
mkTransformationMat :: Num a => M33 a -> V3 a -> M44 a
mkTransformationMat (V3 r1 r2 r3) (V3 tx ty tz) =
  V4 (snoc3 r1 tx) (snoc3 r2 ty) (snoc3 r3 tz) (V4 0 0 0 1)
  where snoc3 (V3 x y z) = V4 x y z
{-# INLINE mkTransformationMat #-}

-- |Build a transformation matrix from a rotation expressed as a
-- 'Quaternion' and a translation vector.
mkTransformation :: Num a => Quaternion a -> V3 a -> M44 a
mkTransformation = mkTransformationMat . fromQuaternion
{-# INLINE mkTransformation #-}

-- | Convert from a 4x3 matrix to a 4x4 matrix, extending it with the @[ 0 0 0 1 ]@ column vector
m43_to_m44 :: Num a => M43 a -> M44 a
m43_to_m44
  (V4 (V3 a b c)
      (V3 d e f)
      (V3 g h i)
      (V3 j k l)) =
  V4 (V4 a b c 0)
     (V4 d e f 0)
     (V4 g h i 0)
     (V4 j k l 1)
{-# ANN m43_to_m44 "HLint: ignore Use camelCase" #-}

-- | Convert a 3x3 matrix to a 4x4 matrix extending it with 0's in the new row and column.
m33_to_m44 :: Num a => M33 a -> M44 a
m33_to_m44 (V3 r1 r2 r3) = V4 (vector r1) (vector r2) (vector r3) (point 0)
{-# ANN m33_to_m44 "HLint: ignore Use camelCase" #-}

-- |The identity matrix for any dimension vector.
--
-- >>> identity :: M44 Int
-- V4 (V4 1 0 0 0) (V4 0 1 0 0) (V4 0 0 1 0) (V4 0 0 0 1)
-- >>> identity :: V3 (V3 Int)
-- V3 (V3 1 0 0) (V3 0 1 0) (V3 0 0 1)
identity :: (Num a, Traversable t, Applicative t) => t (t a)
identity = scaled (pure 1)

-- |Extract the translation vector (first three entries of the last
-- column) from a 3x4 or 4x4 matrix.
translation :: (Representable t, R3 t, R4 v) => Lens' (t (v a)) (V3 a)
translation = column _w._xyz
{-
translation f rs = aux <$> f (view _w <$> view _xyz rs)
 where aux (V3 x y z) = (_x._w .~ x) . (_y._w .~ y) . (_z._w .~ z) $ rs

-- translation :: (R3 t, R4 v, Functor f, Functor t) => (V3 a -> f (V3 a)) -> t (v a) -> f (t a)
-- translation = (. fmap (^._w)) . _xyz where
--   x ^. l = getConst (l Const x)
-}

-- |Extract a 2x2 matrix from a matrix of higher dimensions by dropping excess
-- rows and columns.
_m22 :: (Representable t, R2 t, R2 v) => Lens' (t (v a)) (M22 a)
_m22 = column _xy._xy

-- |Extract a 2x3 matrix from a matrix of higher dimensions by dropping excess
-- rows and columns.
_m23 :: (Representable t, R2 t, R3 v) => Lens' (t (v a)) (M23 a)
_m23 = column _xyz._xy

-- |Extract a 2x4 matrix from a matrix of higher dimensions by dropping excess
-- rows and columns.
_m24 :: (Representable t, R2 t, R4 v) => Lens' (t (v a)) (M24 a)
_m24 = column _xyzw._xy

-- |Extract a 3x2 matrix from a matrix of higher dimensions by dropping excess
-- rows and columns.
_m32 :: (Representable t, R3 t, R2 v) => Lens' (t (v a)) (M32 a)
_m32 = column _xy._xyz

-- |Extract a 3x3 matrix from a matrix of higher dimensions by dropping excess
-- rows and columns.
_m33 :: (Representable t, R3 t, R3 v) => Lens' (t (v a)) (M33 a)
_m33 = column _xyz._xyz

-- |Extract a 3x4 matrix from a matrix of higher dimensions by dropping excess
-- rows and columns.
_m34 :: (Representable t, R3 t, R4 v) => Lens' (t (v a)) (M34 a)
_m34 = column _xyzw._xyz

-- |Extract a 4x2 matrix from a matrix of higher dimensions by dropping excess
-- rows and columns.
_m42 :: (Representable t, R4 t, R2 v) => Lens' (t (v a)) (M42 a)
_m42 = column _xy._xyzw

-- |Extract a 4x3 matrix from a matrix of higher dimensions by dropping excess
-- rows and columns.
_m43 :: (Representable t, R4 t, R3 v) => Lens' (t (v a)) (M43 a)
_m43 = column _xyz._xyzw

-- |Extract a 4x4 matrix from a matrix of higher dimensions by dropping excess
-- rows and columns.
_m44 :: (Representable t, R4 t, R4 v) => Lens' (t (v a)) (M44 a)
_m44 = column _xyzw._xyzw

-- |2x2 matrix determinant.
--
-- >>> det22 (V2 (V2 a b) (V2 c d))
-- a * d - b * c
det22 :: Num a => M22 a -> a
det22 (V2 (V2 a b) (V2 c d)) = a * d - b * c
{-# INLINE det22 #-}

-- |3x3 matrix determinant.
--
-- >>> det33 (V3 (V3 a b c) (V3 d e f) (V3 g h i))
-- a * (e * i - f * h) - d * (b * i - c * h) + g * (b * f - c * e)
det33 :: Num a => M33 a -> a
det33 (V3 (V3 a b c)
          (V3 d e f)
          (V3 g h i)) = a * (e*i-f*h) - d * (b*i-c*h) + g * (b*f-c*e)
{-# INLINE det33 #-}

-- |4x4 matrix determinant.
det44 :: Num a => M44 a -> a
det44 (V4 (V4 i00 i01 i02 i03)
          (V4 i10 i11 i12 i13)
          (V4 i20 i21 i22 i23)
          (V4 i30 i31 i32 i33)) =
  let
    s0 = i00 * i11 - i10 * i01
    s1 = i00 * i12 - i10 * i02
    s2 = i00 * i13 - i10 * i03
    s3 = i01 * i12 - i11 * i02
    s4 = i01 * i13 - i11 * i03
    s5 = i02 * i13 - i12 * i03

    c5 = i22 * i33 - i32 * i23
    c4 = i21 * i33 - i31 * i23
    c3 = i21 * i32 - i31 * i22
    c2 = i20 * i33 - i30 * i23
    c1 = i20 * i32 - i30 * i22
    c0 = i20 * i31 - i30 * i21
  in s0 * c5 - s1 * c4 + s2 * c3 + s3 * c2 - s4 * c1 + s5 * c0
{-# INLINE det44 #-}

-- |2x2 matrix inverse.
--
-- >>> inv22 $ V2 (V2 1 2) (V2 3 4)
-- Just (V2 (V2 (-2.0) 1.0) (V2 1.5 (-0.5)))
inv22 :: (Epsilon a, Floating a) => M22 a -> Maybe (M22 a)
inv22 m@(V2 (V2 a b) (V2 c d))
  | nearZero det = Nothing
  | otherwise = Just $ (1 / det) *!! V2 (V2 d (-b)) (V2 (-c) a)
  where det = det22 m
{-# INLINE inv22 #-}

-- |3x3 matrix inverse.
--
-- >>> inv33 $ V3 (V3 1 2 4) (V3 4 2 2) (V3 1 1 1)
-- Just (V3 (V3 0.0 0.5 (-1.0)) (V3 (-0.5) (-0.75) 3.5) (V3 0.5 0.25 (-1.5)))
inv33 :: (Epsilon a, Floating a) => M33 a -> Maybe (M33 a)
inv33 m@(V3 (V3 a b c)
            (V3 d e f)
            (V3 g h i))
  | nearZero det = Nothing
  | otherwise = Just $ (1 / det) *!! V3 (V3 a' b' c')
                                        (V3 d' e' f')
                                        (V3 g' h' i')
  where a' = cofactor (e,f,h,i)
        b' = cofactor (c,b,i,h)
        c' = cofactor (b,c,e,f)
        d' = cofactor (f,d,i,g)
        e' = cofactor (a,c,g,i)
        f' = cofactor (c,a,f,d)
        g' = cofactor (d,e,g,h)
        h' = cofactor (b,a,h,g)
        i' = cofactor (a,b,d,e)
        cofactor (q,r,s,t) = det22 (V2 (V2 q r) (V2 s t))
        det = det33 m
{-# INLINE inv33 #-}


-- | 'transpose' is just an alias for 'distribute'
--
-- > transpose (V3 (V2 1 2) (V2 3 4) (V2 5 6))
-- V2 (V3 1 3 5) (V3 2 4 6)
transpose :: (Distributive g, Functor f) => f (g a) -> g (f a)
transpose = distribute
{-# INLINE transpose #-}

-- |4x4 matrix inverse.
inv44 :: (Epsilon a, Fractional a) => M44 a -> Maybe (M44 a)
inv44 (V4 (V4 i00 i01 i02 i03)
          (V4 i10 i11 i12 i13)
          (V4 i20 i21 i22 i23)
          (V4 i30 i31 i32 i33)) =
  let s0 = i00 * i11 - i10 * i01
      s1 = i00 * i12 - i10 * i02
      s2 = i00 * i13 - i10 * i03
      s3 = i01 * i12 - i11 * i02
      s4 = i01 * i13 - i11 * i03
      s5 = i02 * i13 - i12 * i03
      c5 = i22 * i33 - i32 * i23
      c4 = i21 * i33 - i31 * i23
      c3 = i21 * i32 - i31 * i22
      c2 = i20 * i33 - i30 * i23
      c1 = i20 * i32 - i30 * i22
      c0 = i20 * i31 - i30 * i21
      det = s0 * c5 - s1 * c4 + s2 * c3 + s3 * c2 - s4 * c1 + s5 * c0
      invDet = recip det
  in do guard (not (nearZero det))
        return (invDet *!!
                V4 (V4 (i11 * c5 - i12 * c4 + i13 * c3)
                       (-i01 * c5 + i02 * c4 - i03 * c3)
                       (i31 * s5 - i32 * s4 + i33 * s3)
                       (-i21 * s5 + i22 * s4 - i23 * s3))
                   (V4 (-i10 * c5 + i12 * c2 - i13 * c1)
                       (i00 * c5 - i02 * c2 + i03 * c1)
                       (-i30 * s5 + i32 * s2 - i33 * s1)
                       (i20 * s5 - i22 * s2 + i23 * s1))
                   (V4 (i10 * c4 - i11 * c2 + i13 * c0)
                       (-i00 * c4 + i01 * c2 - i03 * c0)
                       (i30 * s4 - i31 * s2 + i33 * s0)
                       (-i20 * s4 + i21 * s2 - i23 * s0))
                   (V4 (-i10 * c3 + i11 * c1 - i12 * c0)
                       (i00 * c3 - i01 * c1 + i02 * c0)
                       (-i30 * s3 + i31 * s1 - i32 * s0)
                       (i20 * s3 - i21 * s1 + i22 * s0)))
{-# INLINE inv44 #-}
