Struct nalgebra::proptest::MatrixStrategy

pub struct MatrixStrategy<NStrategy, R: Dim, C: Dim>
where
    NStrategy: Strategy,
    NStrategy::Value: Scalar,
    DefaultAllocator: Allocator<NStrategy::Value, R, C>,
{ /* private fields */ }

A strategy for generating matrices.

Trait Implementations

impl<NStrategy, R: Clone + Dim, C: Clone + Dim> Clone for MatrixStrategy<NStrategy, R, C>

where NStrategy: Strategy + Clone, NStrategy::Value: Scalar + Clone, DefaultAllocator: Allocator<NStrategy::Value, R, C>,

fn clone(&self) -> MatrixStrategy<NStrategy, R, C>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<NStrategy, R: Debug + Dim, C: Debug + Dim> Debug for MatrixStrategy<NStrategy, R, C>

where NStrategy: Strategy + Debug, NStrategy::Value: Scalar + Debug, DefaultAllocator: Allocator<NStrategy::Value, R, C>,

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<NStrategy, R, C> Strategy for MatrixStrategy<NStrategy, R, C>

where NStrategy: Strategy, NStrategy::Value: Scalar, R: Dim, C: Dim, DefaultAllocator: Allocator<NStrategy::Value, R, C>,

type Tree = MatrixValueTree<<NStrategy as Strategy>::Value, R, C>

The value tree generated by this Strategy.

type Value = Matrix<<NStrategy as Strategy>::Value, R, C, <DefaultAllocator as Allocator<<NStrategy as Strategy>::Value, R, C>>::Buffer>

The type of value used by functions under test generated by this Strategy.

fn new_tree(&self, runner: &mut TestRunner) -> NewTree<Self>

Generate a new value tree from the given runner.

fn prop_map<O, F>(self, fun: F) -> Map<Self, F>

where O: Debug, F: Fn(Self::Value) -> O, Self: Sized,

Returns a strategy which produces values transformed by the function fun.

fn prop_map_into<O>(self) -> MapInto<Self, O>

where O: Debug, Self: Sized, Self::Value: Into<O>,

Returns a strategy which produces values of type O by transforming Self with Into<O>.

fn prop_perturb<O, F>(self, fun: F) -> Perturb<Self, F>

where O: Debug, F: Fn(Self::Value, TestRng) -> O, Self: Sized,

Returns a strategy which produces values transformed by the function fun, which is additionally given a random number generator.

fn prop_flat_map<S, F>(self, fun: F) -> Flatten<Map<Self, F>>

where S: Strategy, F: Fn(Self::Value) -> S, Self: Sized,

Maps values produced by this strategy into new strategies and picks values from those strategies.

fn prop_ind_flat_map<S, F>(self, fun: F) -> IndFlatten<Map<Self, F>>

where S: Strategy, F: Fn(Self::Value) -> S, Self: Sized,

Maps values produced by this strategy into new strategies and picks values from those strategies while considering the new strategies to be independent.

fn prop_ind_flat_map2<S, F>(self, fun: F) -> IndFlattenMap<Self, F>

where S: Strategy, F: Fn(Self::Value) -> S, Self: Sized,

Similar to prop_ind_flat_map(), but produces 2-tuples with the input generated from self in slot 0 and the derived strategy in slot 1.

fn prop_filter<R, F>(self, whence: R, fun: F) -> Filter<Self, F>

where R: Into<Reason>, F: Fn(&Self::Value) -> bool, Self: Sized,

Returns a strategy which only produces values accepted by fun.

fn prop_filter_map<F, O>( self, whence: impl Into<Reason>, fun: F ) -> FilterMap<Self, F>

where F: Fn(Self::Value) -> Option<O>, O: Debug, Self: Sized,

Returns a strategy which only produces transformed values where fun returns Some(value) and rejects those where fun returns None.

fn prop_union(self, other: Self) -> Union<Self>

where Self: Sized,

Returns a strategy which picks uniformly from self and other.

fn prop_recursive<R, F>( self, depth: u32, desired_size: u32, expected_branch_size: u32, recurse: F ) -> Recursive<Self::Value, F>

where R: Strategy<Value = Self::Value> + 'static, F: Fn(BoxedStrategy<Self::Value>) -> R, Self: Sized + 'static,

Generate a recursive structure with self items as leaves.

fn boxed(self) -> BoxedStrategy<Self::Value>

where Self: Sized + 'static,

Erases the type of this Strategy so it can be passed around as a simple trait object.

fn no_shrink(self) -> NoShrink<Self>

where Self: Sized,

Wraps this strategy to prevent values from being subject to shrinking.