Module documentation for 0.5.3
Arrays from the basic
array package are already very powerful
compared with arrays in other languages.
They may have any number of dimensions, are type safe
and defined in a uniform way using the Ix class
with free choice of the lower bounds (0, 1, or whatever you like).
This package goes one step further: The shape and the index type are different, but the index type is a type function of the shape type. This offers much more flexibility and type safety.
Some examples are:
Range: Allow dynamic choice of lower and upper array bounds such as in the
Arrays from the
arraypackage. You can combine it with other shapes in other dimensions. It allows you to describe the bounds of each dimension individually.
Shifted: Describe array bounds by start index and length. It is sometimes more natural to use these parameters. E.g. a non-negative index type like
-1and thus cannot encode an empty range starting with index
ZeroBased, OneBased: Arrays with fixed lower bound, either 0 or 1, respectively.
Cyclic: Indices with wrap-around semantics.
Zero, (): Arrays with fixed size 0 or 1, respectively.
Enumeration: Arrays with indices like
GTand a shape of fixed size.
NestedTuple: Arrays with shapes that are compatible to nested tuples like
(a,(a,a))and indices like
(::+): The Append type constructor allows to respresent block arrays, e.g. block matrices. It also allows to represent non-empty arrays via
Set: Use an arbitrary ordered set as index set.
Map: Concatenate a set of shapes.
Triangular: A 2D array with the shape of a lower or upper triangular matrix.
Simplex: Simplices of any dimension, where the dimension is encoded in the type. An index is a tuple of monotonic ordered sub-indices.
Square: A 2D array where both dimensions always have equal size.
Cube: A 3D array where all three dimensions always have equal size.
Tagged: Statically distinguish shapes and indices that are isomorphic.
Array type you can perform
Fast Linear Algebra using the packages
lapackpackage defines even more fancy shapes like tall rectangular matrices, triangular matrices and banded matrices.
Fast Fourier Transforms using the package
Fast Linear Programming using the packages
Efficient Array Processing via LLVM Just-In-Time code generation using the package
comfort-graph for a Graph data structure,
with non-Int node identifiers and flexible edge types.
Change log for the
toList: make lazy
uncheckedIndexFromOffset. They simplify to share code between checked and unchecked variants. Actually, many implementations of these methods recursively call themselves on part shapes. However, the default methods have changed.
Shape.::+. This resolves the name clash with the
tfp. It also highlights the right associativity and non-commutativity.
instance Shape Map
fromAssocations: Make default value the first parameter. It is most oftenly zero and thus less variable than the array size.
Shape.DeferredIndex: Now uses the shape as the type parameter, not the index type.
Array.Guarded.MutablePtr. In the last release we altered the arrays after initialization which corrupted the debugging by the
guarded-allocationpackage. This should be fixed now.
Shape.sizeOffset: It does not return a single offset anymore but an offset computation function. This allows to cache a size computation across many offset computations.
- Add a monad parameter to the mutable
Storablearray type and generalize functions to
PrimMonads. This way the mutating functions can also be used in the
- Add immutable
Boxedarray type and mutable
- Initial version featuring the
Shape.Cclass with type function
Indexand the immutable