pub struct BinaryHeapStrategy<T>(/* private fields */)
where
T: Strategy,
T::Value: Ord;
Expand description
Strategy to create BinaryHeap
s with a length in a certain range.
Created by the binary_heap()
function in the same module.
Trait Implementations§
source§impl<T> Clone for BinaryHeapStrategy<T>
impl<T> Clone for BinaryHeapStrategy<T>
source§fn clone(&self) -> BinaryHeapStrategy<T>
fn clone(&self) -> BinaryHeapStrategy<T>
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresource§impl<T> Debug for BinaryHeapStrategy<T>
impl<T> Debug for BinaryHeapStrategy<T>
source§impl<T> Strategy for BinaryHeapStrategy<T>
impl<T> Strategy for BinaryHeapStrategy<T>
source§type Tree = BinaryHeapValueTree<<T as Strategy>::Tree>
type Tree = BinaryHeapValueTree<<T as Strategy>::Tree>
The value tree generated by this
Strategy
.source§type Value = BinaryHeap<<T as Strategy>::Value>
type Value = BinaryHeap<<T as Strategy>::Value>
The type of value used by functions under test generated by this Strategy. Read more
source§fn new_tree(&self, runner: &mut TestRunner) -> NewTree<Self>
fn new_tree(&self, runner: &mut TestRunner) -> NewTree<Self>
Generate a new value tree from the given runner. Read more
source§fn prop_map<O: Debug, F: Fn(Self::Value) -> O>(self, fun: F) -> Map<Self, F>where
Self: Sized,
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
. Read moresource§fn prop_map_into<O: Debug>(self) -> MapInto<Self, O>
fn prop_map_into<O: Debug>(self) -> MapInto<Self, O>
source§fn prop_perturb<O: Debug, F: Fn(Self::Value, TestRng) -> O>(
self,
fun: F,
) -> Perturb<Self, F>where
Self: Sized,
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. Read moresource§fn prop_flat_map<S: Strategy, F: Fn(Self::Value) -> S>(
self,
fun: F,
) -> Flatten<Map<Self, F>>where
Self: Sized,
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. Read more
source§fn prop_ind_flat_map<S: Strategy, F: Fn(Self::Value) -> S>(
self,
fun: F,
) -> IndFlatten<Map<Self, F>>where
Self: Sized,
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. Read more
source§fn prop_ind_flat_map2<S: Strategy, F: Fn(Self::Value) -> S>(
self,
fun: F,
) -> IndFlattenMap<Self, F>where
Self: Sized,
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. Read moresource§fn prop_filter<R: Into<Reason>, F: Fn(&Self::Value) -> bool>(
self,
whence: R,
fun: F,
) -> Filter<Self, F>where
Self: Sized,
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
. Read moresource§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,
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
. Read moresource§fn prop_union(self, other: Self) -> Union<Self>where
Self: Sized,
fn prop_union(self, other: Self) -> Union<Self>where
Self: Sized,
source§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,
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. Read moreAuto Trait Implementations§
impl<T> Freeze for BinaryHeapStrategy<T>where
T: Freeze,
impl<T> RefUnwindSafe for BinaryHeapStrategy<T>where
T: RefUnwindSafe,
impl<T> Send for BinaryHeapStrategy<T>where
T: Send,
impl<T> Sync for BinaryHeapStrategy<T>where
T: Sync,
impl<T> Unpin for BinaryHeapStrategy<T>where
T: Unpin,
impl<T> UnwindSafe for BinaryHeapStrategy<T>where
T: UnwindSafe,
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
source§unsafe fn clone_to_uninit(&self, dst: *mut T)
unsafe fn clone_to_uninit(&self, dst: *mut T)
🔬This is a nightly-only experimental API. (
clone_to_uninit
)