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1. setMatrixX0 :: MonadIO m => Matrix -> Double -> m ()

   gi-pango	GI.Pango.Structs.Matrix

   Set the value of the “x0” field. When overloading is enabled, this is equivalent to

   set matrix [ #x0 := value ]
   

2. setMatrixXx :: MonadIO m => Matrix -> Double -> m ()

   gi-pango	GI.Pango.Structs.Matrix

   Set the value of the “xx” field. When overloading is enabled, this is equivalent to

   set matrix [ #xx := value ]
   

3. setMatrixXy :: MonadIO m => Matrix -> Double -> m ()

   gi-pango	GI.Pango.Structs.Matrix

   Set the value of the “xy” field. When overloading is enabled, this is equivalent to

   set matrix [ #xy := value ]
   

4. setMatrixY0 :: MonadIO m => Matrix -> Double -> m ()

   gi-pango	GI.Pango.Structs.Matrix

   Set the value of the “y0” field. When overloading is enabled, this is equivalent to

   set matrix [ #y0 := value ]
   

5. setMatrixYx :: MonadIO m => Matrix -> Double -> m ()

   gi-pango	GI.Pango.Structs.Matrix

   Set the value of the “yx” field. When overloading is enabled, this is equivalent to

   set matrix [ #yx := value ]
   

6. setMatrixYy :: MonadIO m => Matrix -> Double -> m ()

   gi-pango	GI.Pango.Structs.Matrix

   Set the value of the “yy” field. When overloading is enabled, this is equivalent to

   set matrix [ #yy := value ]
   

7. tabArrayGetPositionsInPixels :: (HasCallStack, MonadIO m) => TabArray -> m Bool

   gi-pango	GI.Pango.Structs.TabArray

   Returns True if the tab positions are in pixels, False if they are in Pango units.

8. tabArraySetPositionsInPixels :: (HasCallStack, MonadIO m) => TabArray -> Bool -> m ()

   gi-pango	GI.Pango.Structs.TabArray

   Sets whether positions in this array are specified in pixels. Since: 1.50

9. windowUnrollIx2 :: Window ix e -> !Maybe Int

   massiv	Data.Massiv.Array.Delayed

   Setting this value during stencil application improves cache utilization by unrolling the loop for Ix2 and higher dimensions. Has no affect on arrays with one dimension.

10. identityMatrix :: Num e => Sz1 -> Matrix DL e

    massiv	Data.Massiv.Array.Numeric

    Create an indentity matrix.

    Example

    >>> import Data.Massiv.Array
    
    >>> identityMatrix 5
    Array DL Seq (Sz (5 :. 5))
    [ [ 1, 0, 0, 0, 0 ]
    , [ 0, 1, 0, 0, 0 ]
    , [ 0, 0, 1, 0, 0 ]
    , [ 0, 0, 0, 1, 0 ]
    , [ 0, 0, 0, 0, 1 ]
    ]
    

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