Struct RangeFrom

pub struct RangeFrom<Idx> {
    pub start: Idx,
}

A range only bounded inclusively below (start..).

The RangeFrom start.. contains all values with x >= start.

Note: Overflow in the Iterator implementation (when the contained data type reaches its numerical limit) is allowed to panic, wrap, or saturate. This behavior is defined by the implementation of the Step trait. For primitive integers, this follows the normal rules, and respects the overflow checks profile (panic in debug, wrap in release). Note also that overflow happens earlier than you might assume: the overflow happens in the call to next that yields the maximum value, as the range must be set to a state to yield the next value.

Examples

The start.. syntax is a RangeFrom:

assert_eq!((2..), std::ops::RangeFrom { start: 2 });
assert_eq!(2 + 3 + 4, (2..).take(3).sum());

let arr = [0, 1, 2, 3, 4];
assert_eq!(arr[ ..  ], [0, 1, 2, 3, 4]);
assert_eq!(arr[ .. 3], [0, 1, 2      ]);
assert_eq!(arr[ ..=3], [0, 1, 2, 3   ]);
assert_eq!(arr[1..  ], [   1, 2, 3, 4]); // This is a `RangeFrom`
assert_eq!(arr[1.. 3], [   1, 2      ]);
assert_eq!(arr[1..=3], [   1, 2, 3   ]);

Fields

start: Idx

The lower bound of the range (inclusive).

Implementations

impl<Idx> RangeFrom<Idx>

where Idx: PartialOrd,

pub fn contains<U>(&self, item: &U) -> bool

where Idx: PartialOrd<U>, U: PartialOrd<Idx> + ?Sized,

Returns true if item is contained in the range.

Examples

assert!(!(3..).contains(&2));
assert!( (3..).contains(&3));
assert!( (3..).contains(&1_000_000_000));

assert!( (0.0..).contains(&0.5));
assert!(!(0.0..).contains(&f32::NAN));
assert!(!(f32::NAN..).contains(&0.5));

Trait Implementations

impl<A> Arbitrary for RangeFrom<A>

where A: Arbitrary,

type Parameters = <A as Arbitrary>::Parameters

The type of parameters that arbitrary_with accepts for configuration of the generated Strategy. Parameters must implement Default.

type Strategy = Map<<A as Arbitrary>::Strategy, fn(A) -> RangeFrom<A>>

The type of Strategy used to generate values of type Self.

fn arbitrary_with( args: <RangeFrom<A> as Arbitrary>::Parameters, ) -> <RangeFrom<A> as Arbitrary>::Strategy

Generates a Strategy for producing arbitrary values of type the implementing type (Self). The strategy is passed the arguments given in args.

fn arbitrary() -> Self::Strategy

Generates a Strategy for producing arbitrary values of type the implementing type (Self).

impl<A> ArbitraryF1<A> for RangeFrom<A>

where A: Debug + 'static,

type Parameters = ()

The type of parameters that lift1_with accepts for configuration of the lifted and generated Strategy. Parameters must implement Default.

fn lift1_with<S>( base: S, _args: <RangeFrom<A> as ArbitraryF1<A>>::Parameters, ) -> BoxedStrategy<RangeFrom<A>>

where S: Strategy<Value = A> + 'static,

Lifts a given Strategy to a new Strategy for the (presumably) bigger type. This is useful for lifting a Strategy for SomeType to a container such as Vec of SomeType. The composite strategy is passed the arguments given in args.

fn lift1<AS>(base: AS) -> BoxedStrategy<Self>

where AS: Strategy<Value = A> + 'static,

Lifts a given Strategy to a new Strategy for the (presumably) bigger type. This is useful for lifting a Strategy for SomeType to a container such as Vec<SomeType>.

impl<Idx> Clone for RangeFrom<Idx>

where Idx: Clone,

fn clone(&self) -> RangeFrom<Idx>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<C1, C2> ContainsToken<C1> for RangeFrom<C2>

where C1: AsChar, C2: AsChar + Clone,

fn contains_token(&self, token: C1) -> bool

Returns true if self contains the token

impl<Idx> Debug for RangeFrom<Idx>

where Idx: Debug,

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

Formats the value using the given formatter.

impl<'de, Idx> Deserialize<'de> for RangeFrom<Idx>

where Idx: Deserialize<'de>,

fn deserialize<D>( deserializer: D, ) -> Result<RangeFrom<Idx>, <D as Deserializer<'de>>::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<T> From<RangeFrom<T>> for RangeFrom<T>

fn from(value: RangeFrom<T>) -> RangeFrom<T>

Converts to this type from the input type.

impl<T> From<RangeFrom<T>> for RangeFrom<T>

fn from(value: RangeFrom<T>) -> RangeFrom<T>

Converts to this type from the input type.

impl From<RangeFrom<i64>> for ValueParser

Create an i64 ValueParser from a N.. range

See RangedI64ValueParser for more control over the output type.

See also RangedU64ValueParser

Examples

let mut cmd = clap::Command::new("raw")
    .arg(
        clap::Arg::new("port")
            .long("port")
            .value_parser(3000..)
            .action(clap::ArgAction::Set)
            .required(true)
    );

let m = cmd.try_get_matches_from_mut(["cmd", "--port", "3001"]).unwrap();
let port: i64 = *m.get_one("port")
    .expect("required");
assert_eq!(port, 3001);

fn from(value: RangeFrom<i64>) -> ValueParser

Converts to this type from the input type.

impl From<RangeFrom<usize>> for Range

fn from(range: RangeFrom<usize>) -> Range

Converts to this type from the input type.

impl From<RangeFrom<usize>> for ValueRange

fn from(range: RangeFrom<usize>) -> ValueRange

Converts to this type from the input type.

impl<Idx> Hash for RangeFrom<Idx>

where Idx: Hash,

fn hash<__H>(&self, state: &mut __H)

where __H: Hasher,

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl Index<RangeFrom<Position>> for Url

type Output = str

The returned type after indexing.

fn index(&self, range: RangeFrom<Position>) -> &str

Performs the indexing (container[index]) operation.

impl Index<RangeFrom<usize>> for BStr

type Output = BStr

The returned type after indexing.

fn index(&self, r: RangeFrom<usize>) -> &BStr

Performs the indexing (container[index]) operation.

impl Index<RangeFrom<usize>> for BStr

type Output = BStr

The returned type after indexing.

fn index(&self, r: RangeFrom<usize>) -> &BStr

Performs the indexing (container[index]) operation.

impl Index<RangeFrom<usize>> for ByteString

type Output = ByteStr

The returned type after indexing.

fn index(&self, r: RangeFrom<usize>) -> &ByteStr

Performs the indexing (container[index]) operation.

impl Index<RangeFrom<usize>> for Bytes

type Output = Bytes

The returned type after indexing.

fn index(&self, r: RangeFrom<usize>) -> &Bytes

Performs the indexing (container[index]) operation.

impl Index<RangeFrom<usize>> for CStr

type Output = CStr

The returned type after indexing.

fn index(&self, index: RangeFrom<usize>) -> &CStr

Performs the indexing (container[index]) operation.

impl<K, V, S> Index<RangeFrom<usize>> for IndexMap<K, V, S>

type Output = Slice<K, V>

The returned type after indexing.

fn index( &self, range: RangeFrom<usize>, ) -> &<IndexMap<K, V, S> as Index<RangeFrom<usize>>>::Output

Performs the indexing (container[index]) operation.

impl<T, S> Index<RangeFrom<usize>> for IndexSet<T, S>

type Output = Slice<T>

The returned type after indexing.

fn index( &self, range: RangeFrom<usize>, ) -> &<IndexSet<T, S> as Index<RangeFrom<usize>>>::Output

Performs the indexing (container[index]) operation.

impl<K, V> Index<RangeFrom<usize>> for Slice<K, V>

type Output = Slice<K, V>

The returned type after indexing.

fn index(&self, range: RangeFrom<usize>) -> &Slice<K, V>

Performs the indexing (container[index]) operation.

impl<T> Index<RangeFrom<usize>> for Slice<T>

type Output = Slice<T>

The returned type after indexing.

fn index( &self, range: RangeFrom<usize>, ) -> &<Slice<T> as Index<RangeFrom<usize>>>::Output

Performs the indexing (container[index]) operation.

impl Index<RangeFrom<usize>> for UninitSlice

type Output = UninitSlice

The returned type after indexing.

fn index(&self, index: RangeFrom<usize>) -> &UninitSlice

Performs the indexing (container[index]) operation.

impl IndexMut<RangeFrom<usize>> for BStr

fn index_mut(&mut self, r: RangeFrom<usize>) -> &mut BStr

Performs the mutable indexing (container[index]) operation.

impl IndexMut<RangeFrom<usize>> for ByteString

fn index_mut(&mut self, r: RangeFrom<usize>) -> &mut ByteStr

Performs the mutable indexing (container[index]) operation.

impl<K, V, S> IndexMut<RangeFrom<usize>> for IndexMap<K, V, S>

fn index_mut( &mut self, range: RangeFrom<usize>, ) -> &mut <IndexMap<K, V, S> as Index<RangeFrom<usize>>>::Output

Performs the mutable indexing (container[index]) operation.

impl<K, V> IndexMut<RangeFrom<usize>> for Slice<K, V>

fn index_mut(&mut self, range: RangeFrom<usize>) -> &mut Slice<K, V>

Performs the mutable indexing (container[index]) operation.

impl IndexMut<RangeFrom<usize>> for UninitSlice

fn index_mut(&mut self, index: RangeFrom<usize>) -> &mut UninitSlice

Performs the mutable indexing (container[index]) operation.

impl<T> IntoBounds<T> for RangeFrom<T>

fn into_bounds(self) -> (Bound<T>, Bound<T>)

🔬This is a nightly-only experimental API. (range_into_bounds)

Convert this range into the start and end bounds. Returns (start_bound, end_bound).

fn intersect<R>(self, other: R) -> (Bound<T>, Bound<T>)

where Self: Sized, T: Ord, R: IntoBounds<T>,

🔬This is a nightly-only experimental API. (range_into_bounds)

Compute the intersection of self and other.

impl<A> Iterator for RangeFrom<A>

where A: Step,

type Item = A

The type of the elements being iterated over.

fn next(&mut self) -> Option<A>

Advances the iterator and returns the next value.

fn size_hint(&self) -> (usize, Option<usize>)

Returns the bounds on the remaining length of the iterator.

fn nth(&mut self, n: usize) -> Option<A>

Returns the nth element of the iterator.

fn next_chunk<const N: usize>( &mut self, ) -> Result<[Self::Item; N], IntoIter<Self::Item, N>>

where Self: Sized,

🔬This is a nightly-only experimental API. (iter_next_chunk)

Advances the iterator and returns an array containing the next N values.

fn count(self) -> usize

where Self: Sized,

Consumes the iterator, counting the number of iterations and returning it.

fn last(self) -> Option<Self::Item>

where Self: Sized,

Consumes the iterator, returning the last element.

fn advance_by(&mut self, n: usize) -> Result<(), NonZero<usize>>

🔬This is a nightly-only experimental API. (iter_advance_by)

Advances the iterator by n elements.

fn step_by(self, step: usize) -> StepBy<Self>

where Self: Sized,

Creates an iterator starting at the same point, but stepping by the given amount at each iteration.

fn chain<U>(self, other: U) -> Chain<Self, <U as IntoIterator>::IntoIter>

where Self: Sized, U: IntoIterator<Item = Self::Item>,

Takes two iterators and creates a new iterator over both in sequence.

fn zip<U>(self, other: U) -> Zip<Self, <U as IntoIterator>::IntoIter>

where Self: Sized, U: IntoIterator,

‘Zips up’ two iterators into a single iterator of pairs.

fn intersperse(self, separator: Self::Item) -> Intersperse<Self>

where Self: Sized, Self::Item: Clone,

🔬This is a nightly-only experimental API. (iter_intersperse)

Creates a new iterator which places a copy of separator between adjacent items of the original iterator.

fn intersperse_with<G>(self, separator: G) -> IntersperseWith<Self, G>

where Self: Sized, G: FnMut() -> Self::Item,

🔬This is a nightly-only experimental API. (iter_intersperse)

Creates a new iterator which places an item generated by separator between adjacent items of the original iterator.

fn map<B, F>(self, f: F) -> Map<Self, F>

where Self: Sized, F: FnMut(Self::Item) -> B,

Takes a closure and creates an iterator which calls that closure on each element.

fn for_each<F>(self, f: F)

where Self: Sized, F: FnMut(Self::Item),

Calls a closure on each element of an iterator.

fn filter<P>(self, predicate: P) -> Filter<Self, P>

where Self: Sized, P: FnMut(&Self::Item) -> bool,

Creates an iterator which uses a closure to determine if an element should be yielded.

fn filter_map<B, F>(self, f: F) -> FilterMap<Self, F>

where Self: Sized, F: FnMut(Self::Item) -> Option<B>,

Creates an iterator that both filters and maps.

fn enumerate(self) -> Enumerate<Self>

where Self: Sized,

Creates an iterator which gives the current iteration count as well as the next value.

fn peekable(self) -> Peekable<Self>

where Self: Sized,

Creates an iterator which can use the peek and peek_mut methods to look at the next element of the iterator without consuming it. See their documentation for more information.

fn skip_while<P>(self, predicate: P) -> SkipWhile<Self, P>

where Self: Sized, P: FnMut(&Self::Item) -> bool,

Creates an iterator that skips elements based on a predicate.

fn take_while<P>(self, predicate: P) -> TakeWhile<Self, P>

where Self: Sized, P: FnMut(&Self::Item) -> bool,

Creates an iterator that yields elements based on a predicate.

fn map_while<B, P>(self, predicate: P) -> MapWhile<Self, P>

where Self: Sized, P: FnMut(Self::Item) -> Option<B>,

Creates an iterator that both yields elements based on a predicate and maps.

fn skip(self, n: usize) -> Skip<Self>

where Self: Sized,

Creates an iterator that skips the first n elements.

fn take(self, n: usize) -> Take<Self>

where Self: Sized,

Creates an iterator that yields the first n elements, or fewer if the underlying iterator ends sooner.

fn scan<St, B, F>(self, initial_state: St, f: F) -> Scan<Self, St, F>

where Self: Sized, F: FnMut(&mut St, Self::Item) -> Option<B>,

An iterator adapter which, like fold, holds internal state, but unlike fold, produces a new iterator.

fn flat_map<U, F>(self, f: F) -> FlatMap<Self, U, F>

where Self: Sized, U: IntoIterator, F: FnMut(Self::Item) -> U,

Creates an iterator that works like map, but flattens nested structure.

fn flatten(self) -> Flatten<Self>

where Self: Sized, Self::Item: IntoIterator,

Creates an iterator that flattens nested structure.

fn map_windows<F, R, const N: usize>(self, f: F) -> MapWindows<Self, F, N>

where Self: Sized, F: FnMut(&[Self::Item; N]) -> R,

🔬This is a nightly-only experimental API. (iter_map_windows)

Calls the given function f for each contiguous window of size N over self and returns an iterator over the outputs of f. Like slice::windows(), the windows during mapping overlap as well.

fn fuse(self) -> Fuse<Self>

where Self: Sized,

Creates an iterator which ends after the first None.

fn inspect<F>(self, f: F) -> Inspect<Self, F>

where Self: Sized, F: FnMut(&Self::Item),

Does something with each element of an iterator, passing the value on.

fn by_ref(&mut self) -> &mut Self

where Self: Sized,

Creates a “by reference” adapter for this instance of Iterator.

fn collect<B>(self) -> B

where B: FromIterator<Self::Item>, Self: Sized,

Transforms an iterator into a collection.

fn try_collect<B>( &mut self, ) -> <<Self::Item as Try>::Residual as Residual<B>>::TryType

where Self: Sized, Self::Item: Try, <Self::Item as Try>::Residual: Residual<B>, B: FromIterator<<Self::Item as Try>::Output>,

🔬This is a nightly-only experimental API. (iterator_try_collect)

Fallibly transforms an iterator into a collection, short circuiting if a failure is encountered.

fn collect_into<E>(self, collection: &mut E) -> &mut E

where E: Extend<Self::Item>, Self: Sized,

🔬This is a nightly-only experimental API. (iter_collect_into)

Collects all the items from an iterator into a collection.

fn partition<B, F>(self, f: F) -> (B, B)

where Self: Sized, B: Default + Extend<Self::Item>, F: FnMut(&Self::Item) -> bool,

Consumes an iterator, creating two collections from it.

fn partition_in_place<'a, T, P>(self, predicate: P) -> usize

where T: 'a, Self: Sized + DoubleEndedIterator<Item = &'a mut T>, P: FnMut(&T) -> bool,

🔬This is a nightly-only experimental API. (iter_partition_in_place)

Reorders the elements of this iterator in-place according to the given predicate, such that all those that return true precede all those that return false. Returns the number of true elements found.

fn is_partitioned<P>(self, predicate: P) -> bool

where Self: Sized, P: FnMut(Self::Item) -> bool,

🔬This is a nightly-only experimental API. (iter_is_partitioned)

Checks if the elements of this iterator are partitioned according to the given predicate, such that all those that return true precede all those that return false.

fn try_fold<B, F, R>(&mut self, init: B, f: F) -> R

where Self: Sized, F: FnMut(B, Self::Item) -> R, R: Try<Output = B>,

An iterator method that applies a function as long as it returns successfully, producing a single, final value.

fn try_for_each<F, R>(&mut self, f: F) -> R

where Self: Sized, F: FnMut(Self::Item) -> R, R: Try<Output = ()>,

An iterator method that applies a fallible function to each item in the iterator, stopping at the first error and returning that error.

fn fold<B, F>(self, init: B, f: F) -> B

where Self: Sized, F: FnMut(B, Self::Item) -> B,

Folds every element into an accumulator by applying an operation, returning the final result.

fn reduce<F>(self, f: F) -> Option<Self::Item>

where Self: Sized, F: FnMut(Self::Item, Self::Item) -> Self::Item,

Reduces the elements to a single one, by repeatedly applying a reducing operation.

fn try_reduce<R>( &mut self, f: impl FnMut(Self::Item, Self::Item) -> R, ) -> <<R as Try>::Residual as Residual<Option<<R as Try>::Output>>>::TryType

where Self: Sized, R: Try<Output = Self::Item>, <R as Try>::Residual: Residual<Option<Self::Item>>,

🔬This is a nightly-only experimental API. (iterator_try_reduce)

Reduces the elements to a single one by repeatedly applying a reducing operation. If the closure returns a failure, the failure is propagated back to the caller immediately.

fn all<F>(&mut self, f: F) -> bool

where Self: Sized, F: FnMut(Self::Item) -> bool,

Tests if every element of the iterator matches a predicate.

fn any<F>(&mut self, f: F) -> bool

where Self: Sized, F: FnMut(Self::Item) -> bool,

Tests if any element of the iterator matches a predicate.

fn find<P>(&mut self, predicate: P) -> Option<Self::Item>

where Self: Sized, P: FnMut(&Self::Item) -> bool,

Searches for an element of an iterator that satisfies a predicate.

fn find_map<B, F>(&mut self, f: F) -> Option<B>

where Self: Sized, F: FnMut(Self::Item) -> Option<B>,

Applies function to the elements of iterator and returns the first non-none result.

fn try_find<R>( &mut self, f: impl FnMut(&Self::Item) -> R, ) -> <<R as Try>::Residual as Residual<Option<Self::Item>>>::TryType

where Self: Sized, R: Try<Output = bool>, <R as Try>::Residual: Residual<Option<Self::Item>>,

🔬This is a nightly-only experimental API. (try_find)

Applies function to the elements of iterator and returns the first true result or the first error.

fn position<P>(&mut self, predicate: P) -> Option<usize>

where Self: Sized, P: FnMut(Self::Item) -> bool,

Searches for an element in an iterator, returning its index.

fn rposition<P>(&mut self, predicate: P) -> Option<usize>

where P: FnMut(Self::Item) -> bool, Self: Sized + ExactSizeIterator + DoubleEndedIterator,

Searches for an element in an iterator from the right, returning its index.

fn max(self) -> Option<Self::Item>

where Self: Sized, Self::Item: Ord,

Returns the maximum element of an iterator.

fn min(self) -> Option<Self::Item>

where Self: Sized, Self::Item: Ord,

Returns the minimum element of an iterator.

fn max_by_key<B, F>(self, f: F) -> Option<Self::Item>

where B: Ord, Self: Sized, F: FnMut(&Self::Item) -> B,

Returns the element that gives the maximum value from the specified function.

fn max_by<F>(self, compare: F) -> Option<Self::Item>

where Self: Sized, F: FnMut(&Self::Item, &Self::Item) -> Ordering,

Returns the element that gives the maximum value with respect to the specified comparison function.

fn min_by_key<B, F>(self, f: F) -> Option<Self::Item>

where B: Ord, Self: Sized, F: FnMut(&Self::Item) -> B,

Returns the element that gives the minimum value from the specified function.

fn min_by<F>(self, compare: F) -> Option<Self::Item>

where Self: Sized, F: FnMut(&Self::Item, &Self::Item) -> Ordering,

Returns the element that gives the minimum value with respect to the specified comparison function.

fn rev(self) -> Rev<Self>

where Self: Sized + DoubleEndedIterator,

Reverses an iterator’s direction.

fn unzip<A, B, FromA, FromB>(self) -> (FromA, FromB)

where FromA: Default + Extend<A>, FromB: Default + Extend<B>, Self: Sized + Iterator<Item = (A, B)>,

Converts an iterator of pairs into a pair of containers.

fn copied<'a, T>(self) -> Copied<Self>

where T: 'a + Copy, Self: Sized + Iterator<Item = &'a T>,

Creates an iterator which copies all of its elements.

fn cloned<'a, T>(self) -> Cloned<Self>

where T: 'a + Clone, Self: Sized + Iterator<Item = &'a T>,

Creates an iterator which clones all of its elements.

fn cycle(self) -> Cycle<Self>

where Self: Sized + Clone,

Repeats an iterator endlessly.

fn array_chunks<const N: usize>(self) -> ArrayChunks<Self, N>

where Self: Sized,

🔬This is a nightly-only experimental API. (iter_array_chunks)

Returns an iterator over N elements of the iterator at a time.

fn sum<S>(self) -> S

where Self: Sized, S: Sum<Self::Item>,

Sums the elements of an iterator.

fn product<P>(self) -> P

where Self: Sized, P: Product<Self::Item>,

Iterates over the entire iterator, multiplying all the elements

fn cmp<I>(self, other: I) -> Ordering

where I: IntoIterator<Item = Self::Item>, Self::Item: Ord, Self: Sized,

Lexicographically compares the elements of this Iterator with those of another.

fn cmp_by<I, F>(self, other: I, cmp: F) -> Ordering

where Self: Sized, I: IntoIterator, F: FnMut(Self::Item, <I as IntoIterator>::Item) -> Ordering,

🔬This is a nightly-only experimental API. (iter_order_by)

Lexicographically compares the elements of this Iterator with those of another with respect to the specified comparison function.

fn partial_cmp<I>(self, other: I) -> Option<Ordering>

where I: IntoIterator, Self::Item: PartialOrd<<I as IntoIterator>::Item>, Self: Sized,

Lexicographically compares the PartialOrd elements of this Iterator with those of another. The comparison works like short-circuit evaluation, returning a result without comparing the remaining elements. As soon as an order can be determined, the evaluation stops and a result is returned.

fn partial_cmp_by<I, F>(self, other: I, partial_cmp: F) -> Option<Ordering>

where Self: Sized, I: IntoIterator, F: FnMut(Self::Item, <I as IntoIterator>::Item) -> Option<Ordering>,

🔬This is a nightly-only experimental API. (iter_order_by)

Lexicographically compares the elements of this Iterator with those of another with respect to the specified comparison function.

fn eq<I>(self, other: I) -> bool

where I: IntoIterator, Self::Item: PartialEq<<I as IntoIterator>::Item>, Self: Sized,

Determines if the elements of this Iterator are equal to those of another.

fn eq_by<I, F>(self, other: I, eq: F) -> bool

where Self: Sized, I: IntoIterator, F: FnMut(Self::Item, <I as IntoIterator>::Item) -> bool,

🔬This is a nightly-only experimental API. (iter_order_by)

Determines if the elements of this Iterator are equal to those of another with respect to the specified equality function.

fn ne<I>(self, other: I) -> bool

where I: IntoIterator, Self::Item: PartialEq<<I as IntoIterator>::Item>, Self: Sized,

Determines if the elements of this Iterator are not equal to those of another.

fn lt<I>(self, other: I) -> bool

where I: IntoIterator, Self::Item: PartialOrd<<I as IntoIterator>::Item>, Self: Sized,

Determines if the elements of this Iterator are lexicographically less than those of another.

fn le<I>(self, other: I) -> bool

where I: IntoIterator, Self::Item: PartialOrd<<I as IntoIterator>::Item>, Self: Sized,

Determines if the elements of this Iterator are lexicographically less or equal to those of another.

fn gt<I>(self, other: I) -> bool

where I: IntoIterator, Self::Item: PartialOrd<<I as IntoIterator>::Item>, Self: Sized,

Determines if the elements of this Iterator are lexicographically greater than those of another.

fn ge<I>(self, other: I) -> bool

where I: IntoIterator, Self::Item: PartialOrd<<I as IntoIterator>::Item>, Self: Sized,

Determines if the elements of this Iterator are lexicographically greater than or equal to those of another.

fn is_sorted(self) -> bool

where Self: Sized, Self::Item: PartialOrd,

Checks if the elements of this iterator are sorted.

fn is_sorted_by<F>(self, compare: F) -> bool

where Self: Sized, F: FnMut(&Self::Item, &Self::Item) -> bool,

Checks if the elements of this iterator are sorted using the given comparator function.

fn is_sorted_by_key<F, K>(self, f: F) -> bool

where Self: Sized, F: FnMut(Self::Item) -> K, K: PartialOrd,

Checks if the elements of this iterator are sorted using the given key extraction function.

impl<I> IteratorIndex<I> for RangeFrom<usize>

where I: Iterator,

type Output = Skip<I>

The type returned for this type of index.

fn index(self, iter: I) -> <RangeFrom<usize> as IteratorIndex<I>>::Output

Returns an adapted iterator for the current index.

impl NomRange<usize> for RangeFrom<usize>

type Saturating = SaturatingIterator

The saturating iterator type.

type Bounded = Range<usize>

The bounded iterator type.

fn bounds(&self) -> (Bound<usize>, Bound<usize>)

Returns the bounds of this range.

fn contains(&self, item: &usize) -> bool

true if item is contained in the range.

fn is_inverted(&self) -> bool

true if the range is inverted.

fn saturating_iter(&self) -> <RangeFrom<usize> as NomRange<usize>>::Saturating

Creates a saturating iterator. A saturating iterator counts the number of iterations starting from 0 up to the upper bound of this range. If the upper bound is infinite the iterator saturates at the largest representable value of its type and returns it for all further elements.

fn bounded_iter(&self) -> <RangeFrom<usize> as NomRange<usize>>::Bounded

Creates a bounded iterator. A bounded iterator counts the number of iterations starting from 0 up to the upper bound of this range. If the upper bounds is infinite the iterator counts up until the amount of iterations has reached the largest representable value of its type and then returns None for all further elements.

impl<T> OneSidedRange<T> for RangeFrom<T>

where RangeFrom<T>: RangeBounds<T>,

fn bound(self) -> (OneSidedRangeBound, T)

🔬This is a nightly-only experimental API. (one_sided_range)

An internal-only helper function for split_off and split_off_mut that returns the bound of the one-sided range.

impl<Idx> PartialEq for RangeFrom<Idx>

where Idx: PartialEq,

fn eq(&self, other: &RangeFrom<Idx>) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<T> RangeBounds<T> for RangeFrom<&T>

fn start_bound(&self) -> Bound<&T>

Start index bound.

fn end_bound(&self) -> Bound<&T>

End index bound.

fn contains<U>(&self, item: &U) -> bool

where T: PartialOrd<U>, U: PartialOrd<T> + ?Sized,

Returns true if item is contained in the range.

fn is_empty(&self) -> bool

where T: PartialOrd,

🔬This is a nightly-only experimental API. (range_bounds_is_empty)

Returns true if the range contains no items. One-sided ranges (RangeFrom, etc) always return false.

impl<T> RangeBounds<T> for RangeFrom<T>

fn start_bound(&self) -> Bound<&T>

Start index bound.

fn end_bound(&self) -> Bound<&T>

End index bound.

fn contains<U>(&self, item: &U) -> bool

where T: PartialOrd<U>, U: PartialOrd<T> + ?Sized,

Returns true if item is contained in the range.

fn is_empty(&self) -> bool

where T: PartialOrd,

🔬This is a nightly-only experimental API. (range_bounds_is_empty)

Returns true if the range contains no items. One-sided ranges (RangeFrom, etc) always return false.

impl<Idx> Serialize for RangeFrom<Idx>

where Idx: Serialize,

fn serialize<S>( &self, serializer: S, ) -> Result<<S as Serializer>::Ok, <S as Serializer>::Error>

where S: Serializer,

Serialize this value into the given Serde serializer.

impl<'a, T> Slice<RangeFrom<usize>> for &'a [T]

fn slice(&self, range: RangeFrom<usize>) -> &'a [T]

Slices self according to the range argument

impl<'a> Slice<RangeFrom<usize>> for &'a str

fn slice(&self, range: RangeFrom<usize>) -> &'a str

Slices self according to the range argument

impl<T> SliceIndex<[T]> for RangeFrom<usize>

The methods index and index_mut panic if the start of the range is out of bounds.

type Output = [T]

The output type returned by methods.

fn get(self, slice: &[T]) -> Option<&[T]>

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a shared reference to the output at this location, if in bounds.

fn get_mut(self, slice: &mut [T]) -> Option<&mut [T]>

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a mutable reference to the output at this location, if in bounds.

unsafe fn get_unchecked(self, slice: *const [T]) -> *const [T]

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a pointer to the output at this location, without performing any bounds checking.

unsafe fn get_unchecked_mut(self, slice: *mut [T]) -> *mut [T]

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a mutable pointer to the output at this location, without performing any bounds checking.

fn index(self, slice: &[T]) -> &[T]

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a shared reference to the output at this location, panicking if out of bounds.

fn index_mut(self, slice: &mut [T]) -> &mut [T]

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a mutable reference to the output at this location, panicking if out of bounds.

impl SliceIndex<ByteStr> for RangeFrom<usize>

type Output = ByteStr

The output type returned by methods.

fn get( self, slice: &ByteStr, ) -> Option<&<RangeFrom<usize> as SliceIndex<ByteStr>>::Output>

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a shared reference to the output at this location, if in bounds.

fn get_mut( self, slice: &mut ByteStr, ) -> Option<&mut <RangeFrom<usize> as SliceIndex<ByteStr>>::Output>

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a mutable reference to the output at this location, if in bounds.

unsafe fn get_unchecked( self, slice: *const ByteStr, ) -> *const <RangeFrom<usize> as SliceIndex<ByteStr>>::Output

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a pointer to the output at this location, without performing any bounds checking.

unsafe fn get_unchecked_mut( self, slice: *mut ByteStr, ) -> *mut <RangeFrom<usize> as SliceIndex<ByteStr>>::Output

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a mutable pointer to the output at this location, without performing any bounds checking.

fn index( self, slice: &ByteStr, ) -> &<RangeFrom<usize> as SliceIndex<ByteStr>>::Output

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a shared reference to the output at this location, panicking if out of bounds.

fn index_mut( self, slice: &mut ByteStr, ) -> &mut <RangeFrom<usize> as SliceIndex<ByteStr>>::Output

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a mutable reference to the output at this location, panicking if out of bounds.

impl SliceIndex<str> for RangeFrom<usize>

Implements substring slicing with syntax &self[begin ..] or &mut self[begin ..].

Returns a slice of the given string from the byte range [begin, len). Equivalent to &self[begin .. len] or &mut self[begin .. len].

This operation is O(1).

Prior to 1.20.0, these indexing operations were still supported by direct implementation of Index and IndexMut.

Panics

Panics if begin does not point to the starting byte offset of a character (as defined by is_char_boundary), or if begin > len.

type Output = str

The output type returned by methods.

fn get( self, slice: &str, ) -> Option<&<RangeFrom<usize> as SliceIndex<str>>::Output>

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a shared reference to the output at this location, if in bounds.

fn get_mut( self, slice: &mut str, ) -> Option<&mut <RangeFrom<usize> as SliceIndex<str>>::Output>

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a mutable reference to the output at this location, if in bounds.

unsafe fn get_unchecked( self, slice: *const str, ) -> *const <RangeFrom<usize> as SliceIndex<str>>::Output

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a pointer to the output at this location, without performing any bounds checking.

unsafe fn get_unchecked_mut( self, slice: *mut str, ) -> *mut <RangeFrom<usize> as SliceIndex<str>>::Output

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a mutable pointer to the output at this location, without performing any bounds checking.

fn index(self, slice: &str) -> &<RangeFrom<usize> as SliceIndex<str>>::Output

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a shared reference to the output at this location, panicking if out of bounds.

fn index_mut( self, slice: &mut str, ) -> &mut <RangeFrom<usize> as SliceIndex<str>>::Output

🔬This is a nightly-only experimental API. (slice_index_methods)

Returns a mutable reference to the output at this location, panicking if out of bounds.

impl Strategy for RangeFrom<f32>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = f32

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<f32> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<f64>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = f64

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<f64> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<i128>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = i128

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<i128> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<i16>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = i16

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<i16> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<i32>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = i32

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<i32> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<i64>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = i64

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<i64> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<i8>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = i8

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<i8> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<isize>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = isize

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<isize> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<u128>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = u128

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<u128> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<u16>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = u16

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<u16> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<u32>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = u32

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<u32> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<u64>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = u64

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<u64> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<u8>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = u8

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<u8> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl Strategy for RangeFrom<usize>

type Tree = BinarySearch

The value tree generated by this Strategy.

type Value = usize

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

fn new_tree( &self, runner: &mut TestRunner, ) -> Result<<RangeFrom<usize> as Strategy>::Tree, Reason>

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 prop_shuffle(self) -> Shuffle<Self>

where Self: Sized, Self::Value: Shuffleable,

Shuffle the contents of the values produced by this strategy.

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 sboxed(self) -> SBoxedStrategy<Self::Value>

where Self: Sized + Send + Sync + '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.

impl<Idx> Eq for RangeFrom<Idx>

where Idx: Eq,

impl<A> FusedIterator for RangeFrom<A>

where A: Step,

impl<Idx> StructuralPartialEq for RangeFrom<Idx>

impl<A> TrustedLen for RangeFrom<A>

where A: TrustedStep,