Struct proptest::bits::SampledBitSetStrategy

pub struct SampledBitSetStrategy<T: BitSetLike> { /* private fields */ }

Generates bit sets with a particular number of bits set.

Specifically, this strategy is given both a size range and a bit range. To produce a new value, it selects a size, then uniformly selects that many bits from within the bit range.

Shrinking happens as with BitSetStrategy.

Implementations

impl<T: BitSetLike> SampledBitSetStrategy<T>

pub fn new(size: impl Into<SizeRange>, bits: impl Into<SizeRange>) -> Self

Create a strategy which generates values where bits within the bounds given by bits may be set. The number of bits that are set is chosen to be in the range given by size.

Due to the generics, the functions in the typed submodules are usually preferable to calling this directly.

Panics

Panics if size includes a value that is greater than the number of bits in bits.

Trait Implementations

impl<T: Clone + BitSetLike> Clone for SampledBitSetStrategy<T>

fn clone(&self) -> SampledBitSetStrategy<T>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<T: Debug + BitSetLike> Debug for SampledBitSetStrategy<T>

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

Formats the value using the given formatter.

impl<T: BitSetLike> Strategy for SampledBitSetStrategy<T>

type Tree = BitSetValueTree<T>

The value tree generated by this Strategy.

type Value = T

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: Debug, F: Fn(Self::Value) -> O>(self, fun: F) -> Map<Self, F>

where Self: Sized,

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

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

where 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: Debug, F: Fn(Self::Value, TestRng) -> O>( self, fun: F ) -> Perturb<Self, F>

where 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: Strategy, F: Fn(Self::Value) -> S>( self, fun: F ) -> Flatten<Map<Self, F>>

where Self: Sized,

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

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

where 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: Strategy, F: Fn(Self::Value) -> S>( self, fun: F ) -> IndFlattenMap<Self, F>

where 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: Into<Reason>, F: Fn(&Self::Value) -> bool>( self, whence: R, fun: F ) -> Filter<Self, F>

where Self: Sized,

Returns a strategy which only produces values accepted by fun.

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

where 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: Strategy<Value = Self::Value> + 'static, F: Fn(BoxedStrategy<Self::Value>) -> R>( self, depth: u32, desired_size: u32, expected_branch_size: u32, recurse: F ) -> Recursive<Self::Value, F>

where 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.