pub trait Filterable: Compactable + Functor {
// Provided methods
fn partition_map<'a, A: 'a, E: 'a, O: 'a>(
func: impl Fn(A) -> Result<O, E> + 'a,
fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>,
) -> (<Self as Kind_cdc7cd43dac7585f>::Of<'a, E>, <Self as Kind_cdc7cd43dac7585f>::Of<'a, O>) { ... }
fn partition<'a, A: 'a + Clone>(
func: impl Fn(A) -> bool + 'a,
fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>,
) -> (<Self as Kind_cdc7cd43dac7585f>::Of<'a, A>, <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>) { ... }
fn filter_map<'a, A: 'a, B: 'a>(
func: impl Fn(A) -> Option<B> + 'a,
fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>,
) -> <Self as Kind_cdc7cd43dac7585f>::Of<'a, B> { ... }
fn filter<'a, A: 'a + Clone>(
func: impl Fn(A) -> bool + 'a,
fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>,
) -> <Self as Kind_cdc7cd43dac7585f>::Of<'a, A> { ... }
}Expand description
A type class for data structures that can be filtered and partitioned.
Filterable extends Compactable and Functor, adding methods for:
filter: Keeping elements that satisfy a predicate.filter_map: Mapping and filtering in one step.partition: Splitting elements based on a predicate.partition_map: Mapping and partitioning in one step.
§Laws
Filterable instances must satisfy the following laws:
- Distributivity:
filter_map(identity, fa) = compact(fa). - Distributivity:
partition_map(identity, fa) = separate(fa). - Identity:
filter_map(Some, fa) = fa. - Composition:
filter_map(|a| r(a).and_then(l), fa) = filter_map(l, filter_map(r, fa)). - Consistency (
filter/filter_map):filter(p, fa) = filter_map(|a| if p(a) { Some(a) } else { None }, fa). - Consistency (
partition/partition_map):partition(p, fa) = partition_map(|a| if p(a) { Ok(a) } else { Err(a) }, fa).
§Examples
Filterable laws for Option:
use fp_library::{
brands::*,
functions::*,
};
// Distributivity: filter_map(identity, fa) = compact(fa)
let fa: Option<Option<i32>> = Some(Some(5));
assert_eq!(
filter_map::<OptionBrand, _, _>(identity, fa),
compact::<OptionBrand, _>(fa),
);
// Distributivity: partition_map(identity, fa) = separate(fa)
let fa: Option<Result<i32, &str>> = Some(Ok(5));
assert_eq!(
partition_map::<OptionBrand, _, _, _>(identity, fa),
separate::<OptionBrand, _, _>(fa),
);
// Identity: filter_map(Some, fa) = fa
assert_eq!(filter_map::<OptionBrand, _, _>(Some, Some(5)), Some(5));
assert_eq!(filter_map::<OptionBrand, _, _>(Some, None::<i32>), None);
// Composition: filter_map(|a| r(a).and_then(l), fa) = filter_map(l, filter_map(r, fa))
let l = |x: i32| if x > 3 { Some(x * 10) } else { None };
let r = |x: i32| if x > 1 { Some(x + 1) } else { None };
assert_eq!(
filter_map::<OptionBrand, _, _>(|a| r(a).and_then(l), Some(5)),
filter_map::<OptionBrand, _, _>(l, filter_map::<OptionBrand, _, _>(r, Some(5))),
);
// Consistency (filter/filter_map): filter(p, fa) = filter_map(|a| if p(a) { Some(a) } else { None }, fa)
let p = |x: i32| x > 3;
assert_eq!(
filter::<OptionBrand, _>(p, Some(5)),
filter_map::<OptionBrand, _, _>(|a: i32| if p(a) { Some(a) } else { None }, Some(5)),
);Filterable laws for Vec:
use fp_library::{
brands::*,
functions::*,
};
// Distributivity: filter_map(identity, fa) = compact(fa)
let fa: Vec<Option<i32>> = vec![Some(1), None, Some(3)];
assert_eq!(
filter_map::<VecBrand, _, _>(identity, fa.clone()),
compact::<VecBrand, _>(fa),
);
// Identity: filter_map(Some, fa) = fa
assert_eq!(
filter_map::<VecBrand, _, _>(Some, vec![1, 2, 3]),
vec![1, 2, 3],
);
// Composition: filter_map(|a| r(a).and_then(l), fa) = filter_map(l, filter_map(r, fa))
let l = |x: i32| if x > 3 { Some(x * 10) } else { None };
let r = |x: i32| if x > 1 { Some(x + 1) } else { None };
assert_eq!(
filter_map::<VecBrand, _, _>(|a| r(a).and_then(l), vec![1, 2, 3, 4, 5]),
filter_map::<VecBrand, _, _>(l, filter_map::<VecBrand, _, _>(r, vec![1, 2, 3, 4, 5])),
);
// Consistency (filter/filter_map): filter(p, fa) = filter_map(|a| if p(a) { Some(a) } else { None }, fa)
let p = |x: i32| x > 3;
assert_eq!(
filter::<VecBrand, _>(p, vec![1, 2, 3, 4, 5]),
filter_map::<VecBrand, _, _>(|a: i32| if p(a) { Some(a) } else { None }, vec![1, 2, 3, 4, 5]),
);§Minimal Implementation
A minimal implementation of Filterable requires no specific method implementations, as all methods have default implementations based on Compactable and Functor.
However, it is recommended to implement Filterable::partition_map and Filterable::filter_map to avoid the intermediate structure created by the default implementations (which use map followed by separate or compact).
- If
Filterable::partition_mapis implemented,Filterable::partitionis derived from it. - If
Filterable::filter_mapis implemented,Filterable::filteris derived from it.
Provided Methods§
Sourcefn partition_map<'a, A: 'a, E: 'a, O: 'a>(
func: impl Fn(A) -> Result<O, E> + 'a,
fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>,
) -> (<Self as Kind_cdc7cd43dac7585f>::Of<'a, E>, <Self as Kind_cdc7cd43dac7585f>::Of<'a, O>)
fn partition_map<'a, A: 'a, E: 'a, O: 'a>( func: impl Fn(A) -> Result<O, E> + 'a, fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>, ) -> (<Self as Kind_cdc7cd43dac7585f>::Of<'a, E>, <Self as Kind_cdc7cd43dac7585f>::Of<'a, O>)
Partitions a data structure based on a function that returns a Result.
The default implementation uses map and separate.
§Type Signature
forall A E O. (A -> Result O E, Self A) -> (Self E, Self O)
§Type Parameters
'a: The lifetime of the elements.A: The type of the elements in the input structure.E: The type of the error values.O: The type of the success values.
§Parameters
func: The function to apply to each element, returning aResult.fa: The data structure to partition.
§Returns
A pair of data structures: the first containing the Err values, and the second containing the Ok values.
§Examples
use fp_library::{
brands::*,
functions::*,
};
let x = Some(5);
let (errs, oks) =
partition_map::<OptionBrand, _, _, _>(|a| if a > 2 { Ok(a) } else { Err(a) }, x);
assert_eq!(oks, Some(5));
assert_eq!(errs, None);Sourcefn partition<'a, A: 'a + Clone>(
func: impl Fn(A) -> bool + 'a,
fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>,
) -> (<Self as Kind_cdc7cd43dac7585f>::Of<'a, A>, <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>)
fn partition<'a, A: 'a + Clone>( func: impl Fn(A) -> bool + 'a, fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>, ) -> (<Self as Kind_cdc7cd43dac7585f>::Of<'a, A>, <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>)
Partitions a data structure based on a predicate.
The default implementation uses partition_map.
Note: The return order is (satisfied, not_satisfied), matching Rust’s Iterator::partition.
This is achieved by mapping satisfied elements to Ok and unsatisfied elements to Err internally,
as separate returns (Oks, Errs).
§Type Signature
forall A. (A -> bool, Self A) -> (Self A, Self A)
§Type Parameters
'a: The lifetime of the elements.A: The type of the elements in the structure.
§Parameters
func: The predicate function.fa: The data structure to partition.
§Returns
A pair of data structures: the first containing elements that do not satisfy the predicate, and the second containing elements that do.
§Examples
use fp_library::{
brands::*,
functions::*,
};
let x = Some(5);
let (not_satisfied, satisfied) = partition::<OptionBrand, _>(|a| a > 2, x);
assert_eq!(satisfied, Some(5));
assert_eq!(not_satisfied, None);Sourcefn filter_map<'a, A: 'a, B: 'a>(
func: impl Fn(A) -> Option<B> + 'a,
fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>,
) -> <Self as Kind_cdc7cd43dac7585f>::Of<'a, B>
fn filter_map<'a, A: 'a, B: 'a>( func: impl Fn(A) -> Option<B> + 'a, fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>, ) -> <Self as Kind_cdc7cd43dac7585f>::Of<'a, B>
Maps a function over a data structure and filters out None results.
The default implementation uses map and compact.
§Type Signature
§Type Signature
forall A B. (A -> Option B, Self A) -> Self B
§Type Parameters
'a: The lifetime of the elements.A: The type of the elements in the input structure.B: The type of the elements in the output structure.
§Parameters
func: The function to apply to each element, returning anOption.fa: The data structure to filter and map.
§Returns
A new data structure containing only the values where the function returned Some.
§Examples
use fp_library::{
brands::*,
functions::*,
};
let x = Some(5);
let y = filter_map::<OptionBrand, _, _>(|a| if a > 2 { Some(a * 2) } else { None }, x);
assert_eq!(y, Some(10));Sourcefn filter<'a, A: 'a + Clone>(
func: impl Fn(A) -> bool + 'a,
fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>,
) -> <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>
fn filter<'a, A: 'a + Clone>( func: impl Fn(A) -> bool + 'a, fa: <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>, ) -> <Self as Kind_cdc7cd43dac7585f>::Of<'a, A>
Filters a data structure based on a predicate.
The default implementation uses filter_map.
§Type Signature
forall A. (A -> bool, Self A) -> Self A
§Type Parameters
'a: The lifetime of the elements.A: The type of the elements in the structure.
§Parameters
func: The predicate function.fa: The data structure to filter.
§Returns
A new data structure containing only the elements that satisfy the predicate.
§Examples
use fp_library::{
brands::*,
functions::*,
};
let x = Some(5);
let y = filter::<OptionBrand, _>(|a| a > 2, x);
assert_eq!(y, Some(5));Dyn Compatibility§
This trait is not dyn compatible.
In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.