HashSet
# HashSet
An immutable HashSet provides a collection of unique values with efficient lookup, insertion and removal. Once created, a HashSet cannot be modified; any operation that would alter the set instead returns a new HashSet with the changes. This immutability offers benefits like predictable state management and easier reasoning about your code.
## What Problem Does It Solve?
HashSet solves the problem of maintaining an unsorted collection where each value appears exactly once, with fast operations for checking membership and adding/removing values.
## When to Use
Use HashSet when you need:
- A collection with no duplicate values - Efficient membership testing (O(1) average complexity) - Set operations like union, intersection, and difference - An immutable data structure that preserves functional programming patterns
## Advanced Features
HashSet provides operations for:
- Transforming sets with map and flatMap - Filtering elements with filter - Combining sets with union, intersection and difference - Performance optimizations via mutable operations in controlled contexts
## Performance Characteristics
- Lookup operations (module:HashSet.has): O(1) average time complexity - Insertion operations (module:HashSet.add): O(1) average time complexity - Removal operations (module:HashSet.remove): O(1) average time complexity - Set operations (module:HashSet.union, module:HashSet.intersection): O(n) where n is the size of the smaller set - Iteration: O(n) where n is the size of the set
The HashSet data structure implements the following traits:
- Iterable: allows iterating over the values in the set - Equal: allows comparing two sets for value-based equality - Pipeable: allows chaining operations with the pipe operator - Inspectable: allows inspecting the contents of the set
## Operations Reference
| Category | Operation | Description | Complexity | | ------------ | ----------------------------------- | ------------------------------------------- | ---------- | | constructors | module:HashSet.empty | Creates an empty HashSet | O(1) | | constructors | module:HashSet.fromIterable | Creates a HashSet from an iterable | O(n) | | constructors | module:HashSet.make | Creates a HashSet from multiple values | O(n) | | | | | | | elements | module:HashSet.has | Checks if a value exists in the set | O(1) avg | | elements | module:HashSet.some | Checks if any element satisfies a predicate | O(n) | | elements | module:HashSet.every | Checks if all elements satisfy a predicate | O(n) | | elements | module:HashSet.isSubset | Checks if a set is a subset of another | O(n) | | | | | | | getters | module:HashSet.values | Gets an iterator of all values | O(1) | | getters | module:HashSet.toValues | Gets an array of all values | O(n) | | getters | module:HashSet.size | Gets the number of elements | O(1) | | | | | | | mutations | module:HashSet.add | Adds a value to the set | O(1) avg | | mutations | module:HashSet.remove | Removes a value from the set | O(1) avg | | mutations | module:HashSet.toggle | Toggles a value's presence | O(1) avg | | | | | | | operations | module:HashSet.difference | Computes set difference (A - B) | O(n) | | operations | module:HashSet.intersection | Computes set intersection (A โฉ B) | O(n) | | operations | module:HashSet.union | Computes set union (A โช B) | O(n) | | | | | | | mapping | module:HashSet.map | Transforms each element | O(n) | | | | | | | sequencing | module:HashSet.flatMap | Transforms and flattens elements | O(n) | | | | | | | traversing | module:HashSet.forEach | Applies a function to each element | O(n) | | | | | | | folding | module:HashSet.reduce | Reduces the set to a single value | O(n) | | | | | | | filtering | module:HashSet.filter | Keeps elements that satisfy a predicate | O(n) | | | | | | | partitioning | module:HashSet.partition | Splits into two sets by a predicate | O(n) |
## Notes
### Composability with the Effect Ecosystem:
This HashSet is designed to work seamlessly within the Effect ecosystem. It implements the Iterable, Equal, Pipeable, and Inspectable traits from Effect. This ensures compatibility with other Effect data structures and functionalities. For example, you can easily use Effect's pipe method to chain operations on the HashSet.
Equality of Elements with Effect's Equal Equal Trait:
This HashSet relies on Effect's Equal trait to determine the uniqueness of elements within the set. The way equality is checked depends on the type of the elements:
- Primitive Values: For primitive JavaScript values like strings, numbers, booleans, null, and undefined, equality is determined by their value (similar to the === operator). - Objects and Custom Types: For objects and other custom types, equality is determined by whether those types implement the Equal interface themselves. If an element type implements Equal, the HashSet will delegate to that implementation to perform the equality check. This allows you to define custom logic for determining when two instances of your objects should be considered equal based on their properties, rather than just their object identity.
Simplifying Equality and Hashing with Data and Schema:
Effect's Data and Schema Schema.Data modules offer powerful ways to automatically handle the implementation of both the Equal and Hash traits for your custom data structures.
- Data Module: By using constructors like Data.struct, Data.tuple, Data.array, or Data.case to define your data types, Effect automatically generates the necessary implementations for value-based equality and consistent hashing. This significantly reduces boilerplate and ensures correctness.
- Schema Module: When defining data schemas using the Schema module, you can use Schema.Data to automatically include the Equal and Hash traits in the decoded objects. This is particularly important when working with HashSet. For decoded objects to be correctly recognized as equal within a HashSet, ensure that the schema for those objects is defined using Schema.Data.
### Interoperability with the JavaScript Runtime:
To interoperate with the regular JavaScript runtime, Effect's HashSet provides methods to access its elements in formats readily usable by JavaScript APIs: HashSet.values, HashSet.toValues
Be mindful of performance implications (both time and space complexity) when frequently converting between Effect's immutable HashSet and mutable JavaScript data structures, especially for large collections.
Constructors
Signature
declare const empty: <A = never>() => HashSet<A>;Example
import { HashSet, pipe } from "effect"
console.log(
pipe(
// Provide a type argument to create a HashSet of a specific type
HashSet.empty<number>(),
HashSet.add(1),
HashSet.add(1), // Notice the duplicate
HashSet.add(2),
HashSet.toValues,
),
) // Output: [1, 2]fromIterable
Creates a new HashSet from an iterable collection of values.
Time complexity: O(n) where n is the number of elements in the iterable
See
OtherHashSetconstructors are module:HashSet.empty module:HashSet.make
Signature
declare const fromIterable: <A>(elements: Iterable<A>) => HashSet<A>;Example
// Creating a HashSet from an Array
import { HashSet, pipe } from "effect"
console.log(
pipe(
[1, 2, 3, 4, 5, 1, 2, 3], // Array<number> is an Iterable<number>; Note the duplicates.
HashSet.fromIterable,
HashSet.toValues,
),
) // Output: [1, 2, 3, 4, 5]Example
// Creating a HashSet from a Set
import { HashSet, pipe } from "effect"
console.log(
pipe(
new Set(["apple", "banana", "orange", "apple"]), // Set<string> is an Iterable<string>
HashSet.fromIterable,
HashSet.toValues,
),
) // Output: ["apple", "banana", "orange"]Example
// Creating a HashSet from a Generator
import { HashSet } from "effect"
// Generator functions return iterables
function* fibonacci(n: number): Generator<number, void, unknown> {
let [a, b] = [0, 1]
for (let i = 0; i < n; i++) {
yield a
;[a, b] = [b, a + b]
}
}
// Create a HashSet from the first 10 Fibonacci numbers
const fibonacciSet = HashSet.fromIterable(fibonacci(10))
console.log(HashSet.toValues(fibonacciSet))
// Outputs: [0, 1, 2, 3, 5, 8, 13, 21, 34] but in unsorted orderExample
// Creating a HashSet from another HashSet
import { HashSet, pipe } from "effect"
console.log(
pipe(
// since HashSet implements the Iterable interface, we can use it to create a new HashSet
HashSet.make(1, 2, 3, 4),
HashSet.fromIterable,
HashSet.toValues, // turns the HashSet back into an array
),
) // Output: [1, 2, 3, 4]Example
// Creating a HashSet from other Effect's data structures like Chunk
import { Chunk, HashSet, pipe } from "effect"
console.log(
pipe(
Chunk.make(1, 2, 3, 4), // Iterable<number>
HashSet.fromIterable,
HashSet.toValues, // turns the HashSet back into an array
),
) // Outputs: [1, 2, 3, 4]Construct a new HashSet from a variable number of values.
Time complexity: O(n) where n is the number of elements
See
OtherHashSetconstructors are module:HashSet.fromIterable module:HashSet.empty
Signature
declare const make: <As extends ReadonlyArray<any>>(...elements: As) => HashSet<As[number]>;Example
import { Equal, Hash, HashSet, pipe } from "effect"
import assert from "node:assert/strict"
class Character implements Equal.Equal {
readonly name: string
readonly trait: string
constructor(name: string, trait: string) {
this.name = name
this.trait = trait
}
// Define equality based on name, and trait
[Equal.symbol](that: Equal.Equal): boolean {
if (that instanceof Character) {
return Equal.equals(this.name, that.name) && Equal.equals(this.trait, that.trait)
}
return false
}
// Generate a hash code based on the sum of the character's name and trait
[Hash.symbol](): number {
return Hash.hash(this.name + this.trait)
}
static readonly of = (name: string, trait: string): Character => {
return new Character(name, trait)
}
}
assert.strictEqual(
Equal.equals(
HashSet.make(
Character.of("Alice", "Curious"),
Character.of("Alice", "Curious"),
Character.of("White Rabbit", "Always late"),
Character.of("Mad Hatter", "Tea enthusiast"),
),
// Is the same as adding each character to an empty set
pipe(
HashSet.empty(),
HashSet.add(Character.of("Alice", "Curious")),
HashSet.add(Character.of("Alice", "Curious")), // Alice tried to attend twice!
HashSet.add(Character.of("White Rabbit", "Always late")),
HashSet.add(Character.of("Mad Hatter", "Tea enthusiast")),
),
),
true,
"`HashSet.make` and `HashSet.empty() + HashSet.add()` should be equal",
)
assert.strictEqual(
Equal.equals(
HashSet.make(
Character.of("Alice", "Curious"),
Character.of("Alice", "Curious"),
Character.of("White Rabbit", "Always late"),
Character.of("Mad Hatter", "Tea enthusiast"),
),
HashSet.fromIterable([
Character.of("Alice", "Curious"),
Character.of("Alice", "Curious"),
Character.of("White Rabbit", "Always late"),
Character.of("Mad Hatter", "Tea enthusiast"),
]),
),
true,
"`HashSet.make` and `HashSet.fromIterable` should be equal",
)Elements
Check if a predicate holds true for every HashSet element.
Time complexity is O(n) as it needs to traverse the whole HashSet collection
See
OtherHashSetelements are module:HashSet.has module:HashSet.some module:HashSet.isSubset
Signature
declare const every: {
<A, B>(refinement: Refinement<NoInfer<A>, B>): (self: HashSet<A>) => self is HashSet<B>;
<A>(predicate: Predicate<A>): (self: HashSet<A>) => boolean;
<A, B>(self: HashSet<A>, refinement: Refinement<A, B>): self is HashSet<B>;
<A>(self: HashSet<A>, predicate: Predicate<A>): boolean;
};Example
// Syntax with Refinement
import { HashSet, pipe, Predicate } from "effect"
const numberOrString = HashSet.make(1, "1", "one", "uno")
// with `data-last`, a.k.a. `pipeable` API and `Refinement`
pipe(
numberOrString, // HashSet.HashSet<number | string>
HashSet.every(Predicate.isString),
) // HashSet.HashSet<string>
// or piped with the pipe function and `Refinement`
numberOrString // HashSet.HashSet<number | string>
.pipe(HashSet.every(Predicate.isString)) // HashSet.HashSet<string>
// or with `data-first` API and `Refinement`
HashSet.every(
numberOrString, // HashSet.HashSet<number | string>
Predicate.isString,
) // HashSet.HashSet<string>Example
// Syntax with Predicate
import { HashSet, pipe } from "effect"
const set = HashSet.make(1, 2, 3)
// with `data-last`, a.k.a. `pipeable` API
pipe(
set,
HashSet.every((n) => n >= 0),
) // true
// or piped with the pipe function
set.pipe(HashSet.every((n) => n >= 0)) // true
// or with `data-first` API
HashSet.every(set, (n) => n >= 0) // trueChecks if the specified value exists in the HashSet.
Time complexity: O(1) average
See
OtherHashSetelements are module:HashSet.some module:HashSet.every module:HashSet.isSubset
Signature
declare const has: {
<A>(value: A): (self: HashSet<A>) => boolean;
<A>(self: HashSet<A>, value: A): boolean;
};Example
// Syntax
import { HashSet, pipe } from "effect"
// with `data-last`, a.k.a. `pipeable` API
pipe(HashSet.make(0, 1, 2), HashSet.has(3)) // false
// or piped with the pipe function
HashSet.make(0, 1, 2).pipe(HashSet.has(3)) // false
// or with `data-first` API
HashSet.has(HashSet.make(0, 1, 2), 3) // falseReturns true if and only if every element in the this HashSet is an element of the second set,
NOTE: the hash and equal of both sets must be the same.
Time complexity analysis is of O(n)
See
OtherHashSetelements are module:HashSet.has module:HashSet.some module:HashSet.every
Signature
declare const isSubset: {
<A>(that: HashSet<A>): (self: HashSet<A>) => boolean;
<A>(self: HashSet<A>, that: HashSet<A>): boolean;
};Example
// Syntax
import { HashSet, pipe } from "effect"
const set1 = HashSet.make(0, 1)
const set2 = HashSet.make(1, 2)
const set3 = HashSet.make(0, 1, 2)
// with `data-last`, a.k.a. `pipeable` API
pipe(set1, HashSet.isSubset(set2)) // false
pipe(set1, HashSet.isSubset(set3)) // true
// or piped with the pipe function
set1.pipe(HashSet.isSubset(set2)) // false
set1.pipe(HashSet.isSubset(set3)) // true
// or with `data-first` API
HashSet.isSubset(set1, set2) // false
HashSet.isSubset(set1, set3) // true)Check if a predicate holds true for some HashSet element.
Time complexity: O(n) where n is the number of elements in the set
See
OtherHashSetelements are module:HashSet.has module:HashSet.every module:HashSet.isSubset
Signature
declare const some: {
<A>(f: Predicate<A>): (self: HashSet<A>) => boolean;
<A>(self: HashSet<A>, f: Predicate<A>): boolean;
};Example
// Syntax
import { HashSet, pipe } from "effect"
const set: HashSet.HashSet<number> = HashSet.make(0, 1, 2)
// with `data-last`, a.k.a. `pipeable` API
pipe(
set,
HashSet.some((n) => n > 0),
) // true
// or piped with the pipe function
set.pipe(HashSet.some((n) => n > 0)) // true
// or with `data-first` API
HashSet.some(set, (n) => n > 0) // trueFiltering
Filters values out of a HashSet using the specified predicate.
The time complexity is of O(n).
Signature
declare const filter: {
<A, B>(refinement: Refinement<NoInfer<A>, B>): (self: HashSet<A>) => HashSet<B>;
<A>(predicate: Predicate<NoInfer<A>>): (self: HashSet<A>) => HashSet<A>;
<A, B>(self: HashSet<A>, refinement: Refinement<A, B>): HashSet<B>;
<A>(self: HashSet<A>, predicate: Predicate<A>): HashSet<A>;
};Example
// Syntax with Predicate
import { HashSet, type Predicate, pipe } from "effect"
const filterPositiveNumbers: Predicate.Predicate<number> = (n) => n > 0
// with `data-last`, a.k.a. `pipeable` API
pipe(HashSet.make(-2, -1, 0, 1, 2), HashSet.filter(filterPositiveNumbers))
// or with the pipe method
HashSet.make(-2, -1, 0, 1, 2).pipe(HashSet.filter(filterPositiveNumbers))
// or with `data-first` API
HashSet.filter(HashSet.make(-2, -1, 0, 1, 2), filterPositiveNumbers)Example
/// Syntax with Refinement
import { HashSet, pipe } from "effect"
const stringRefinement = (value: unknown): value is string => typeof value === "string"
// with `data-last`, a.k.a. `pipeable` API
pipe(
HashSet.make(1, "unos", 2, "two", 3, "trois", 4, "vier"), // // HashSet.HashSet<number | string>
HashSet.filter(stringRefinement),
) // HashSet.HashSet<string>
// or with the pipe method
HashSet.make(1, "unos", 2, "two", 3, "trois", 4, "vier") // HashSet.HashSet<number | string>
.pipe(HashSet.filter(stringRefinement)) // HashSet.HashSet<string>
// or with `data-first` API
HashSet.filter(
HashSet.make(1, "unos", 2, "two", 3, "trois", 4, "vier"), // HashSet.HashSet<number | string>
stringRefinement,
) // HashSet.HashSet<string>Folding
Reduces the specified state over the values of the HashSet.
The time complexity is of O(n).
Signature
declare const reduce: {
<A, Z>(zero: Z, f: (accumulator: Z, value: A) => Z): (self: HashSet<A>) => Z;
<A, Z>(self: HashSet<A>, zero: Z, f: (accumulator: Z, value: A) => Z): Z;
};Example
// Syntax
import { HashSet, pipe } from "effect"
const sum = (a: number, b: number): number => a + b
// with `data-last`, a.k.a. `pipeable` API
pipe(HashSet.make(0, 1, 2), HashSet.reduce(0, sum))
// or with the pipe method
HashSet.make(0, 1, 2).pipe(HashSet.reduce(0, sum))
// or with `data-first` API
HashSet.reduce(HashSet.make(0, 1, 2), 0, sum)Getters
Calculates the number of values in the HashSet.
Time complexity: O(1)
See
OtherHashSetgetters are module:HashSet.values module:HashSet.toValues
Signature
declare const size: <A>(self: HashSet<A>) => number;Example
import { HashSet, pipe } from "effect"
import assert from "node:assert/strict"
assert.deepStrictEqual(pipe(HashSet.empty(), HashSet.size), 0)
assert.deepStrictEqual(pipe(HashSet.make(1, 2, 2, 3, 4, 3), HashSet.size), 4)Returns an Array of the values within the HashSet.
Time complexity: O(n) where n is the number of elements in the set
See
OtherHashSetgetters are module:HashSet.values module:HashSet.size
Signature
declare function toValues<A>(self: HashSet<A>): Array<A>;Returns an IterableIterator of the values in the HashSet.
Time complexity: O(1)
See
OtherHashSetgetters are module:HashSet.toValues module:HashSet.size
Signature
declare const values: <A>(self: HashSet<A>) => IterableIterator<A>;Example
import { HashSet, pipe } from "effect"
const numberIterable = pipe(
HashSet.make(0, 1, 1, 2), // HashSet.HashSet<number>
HashSet.values, // takes an HashSet<A> and returns an IterableIterator<A>
)
for (const number of numberIterable) {
console.log(number) // it will logs: 0, 1, 2
}Mapping
Maps over the values of the HashSet using the specified function.
The time complexity is of O(n).
Signature
declare const map: {
<A, B>(f: (a: A) => B): (self: HashSet<A>) => HashSet<B>;
<A, B>(self: HashSet<A>, f: (a: A) => B): HashSet<B>;
};Example
// Syntax
import { HashSet, pipe } from "effect"
// with `data-last`, a.k.a. `pipeable` API
pipe(
HashSet.make(0, 1, 2), // HashSet.HashSet<number>
HashSet.map(String), // HashSet.HashSet<string>
)
// or piped with the pipe method
HashSet.make(0, 1, 2).pipe(HashSet.map(String))
// or with `data-first` API
HashSet.map(HashSet.make(0, 1, 2), String)Models
Other
Adds a value to the HashSet.
Time complexity: O(1) average
See
OtherHashSetmutations are module:HashSet.remove module:HashSet.toggle module:HashSet.beginMutation module:HashSet.endMutation module:HashSet.mutate
Signature
declare const add: {
<A>(value: A): (self: HashSet<A>) => HashSet<A>;
<A>(self: HashSet<A>, value: A): HashSet<A>;
};Example
// Syntax
import { HashSet, pipe } from "effect"
// with data-last, a.k.a. pipeable API
pipe(HashSet.empty(), HashSet.add(0), HashSet.add(0))
// or piped with the pipe function
HashSet.empty().pipe(HashSet.add(0))
// or with data-first API
HashSet.add(HashSet.empty(), 0)beginMutation
Creates a new mutable version of the HashSet
When a HashSet is mutable, operations like add and remove modify the data structure in place instead of creating a new one, which is more efficient when performing multiple operations.
See
OtherHashSetmutations are module:HashSet.add module:HashSet.remove module:HashSet.toggle module:HashSet.endMutation module:HashSet.mutate
Signature
declare const beginMutation: <A>(self: HashSet<A>) => HashSet<A>;Example
import { HashSet } from "effect"
import assert from "node:assert/strict"
const UPPER_BOUND = 10_000
const immutableSet = HashSet.empty<number>().pipe(HashSet.add(0))
// Create a mutable version of the immutableSet
const mutableSet = HashSet.beginMutation(immutableSet)
for (let i = 1; i < UPPER_BOUND; i++) {
// Operations now modify the set in place instead of creating new instances
// This is more efficient when making multiple changes
const pointerToMutableSet = HashSet.add(mutableSet, i)
// the two sets have the same identity, hence `add` is mutating mutableSet and not returning a new HashSet instance
assert(Object.is(mutableSet, pointerToMutableSet))
assert.equal(HashSet.has(mutableSet, i), true) // `i` is in the mutableSet
assert.equal(HashSet.has(immutableSet, i), false) // `i` is not in the immutableSet
}
const next = UPPER_BOUND + 1
// When done, mark the set as immutable again
HashSet.endMutation(mutableSet).pipe(
HashSet.add(next), // since this returns a new HashSet, it will not be logged as part of the mutableSet
)
assert.equal(HashSet.has(mutableSet, next), false)
console.log(HashSet.toValues(immutableSet)) // [0]
console.log(HashSet.toValues(mutableSet).sort((a, b) => a - b)) // [0, 1, 2, 3, ...rest]difference
Computes the set difference (A - B) between this HashSet and the specified Iterable<A>.
Time complexity: O(n) where n is the number of elements in the set
NOTE: the hash and equal of the values in both the set and the iterable must be the same; meaning we cannot compute a difference between a HashSet of bananas and a HashSet of elephants as they are not the same type and won't implement the Equal trait in the same way.
See
OtherHashSetoperations are module:HashSet.intersection module:HashSet.union
Signature
declare const difference: {
<A>(that: Iterable<A>): (self: HashSet<A>) => HashSet<A>;
<A>(self: HashSet<A>, that: Iterable<A>): HashSet<A>;
};Example
// Syntax
import { HashSet, pipe } from "effect"
// with data-last, a.k.a. pipeable API
pipe(HashSet.make(1, 2, 3), HashSet.difference(HashSet.make(3, 4, 5)))
// or piped with the pipe function
HashSet.make(1, 2, 3).pipe(HashSet.difference(HashSet.make(3, 4, 5)))
// or with data-first API
HashSet.difference(HashSet.make(1, 2, 3), HashSet.make(3, 4, 5))endMutation
Makes the HashSet immutable again.
After calling endMutation, operations like add and remove will create new instances of the HashSet instead of modifying the existing one.
See
OtherHashSetmutations are module:HashSet.add module:HashSet.remove module:HashSet.toggle module:HashSet.beginMutation module:HashSet.mutate
Signature
declare const endMutation: <A>(self: HashSet<A>) => HashSet<A>;Example
import { HashSet } from "effect"
import assert from "node:assert/strict"
// Create a mutable set
const mutableSet = HashSet.beginMutation(HashSet.empty<number>())
// Add some elements to the mutable set
HashSet.add(mutableSet, 1)
HashSet.add(mutableSet, 2)
// Before endMutation, operations modify the set in place
const sameSet = HashSet.add(mutableSet, 3)
assert(Object.is(mutableSet, sameSet)) // true - same object reference
assert.deepStrictEqual(HashSet.toValues(mutableSet).sort(), [1, 2, 3])
// Make the set immutable again
const immutableSet = HashSet.endMutation(mutableSet)
// endMutation returns the same set instance, now made immutable
assert(Object.is(mutableSet, immutableSet)) // true - same object reference
// After endMutation, operations create new instances
const newSet = HashSet.add(immutableSet, 4)
assert(!Object.is(immutableSet, newSet)) // false - different object references
// The original set remains unchanged
assert.deepStrictEqual(HashSet.toValues(immutableSet).sort(), [1, 2, 3])
// The new set contains the added element
assert.deepStrictEqual(HashSet.toValues(newSet).sort(), [1, 2, 3, 4])intersection
Returns a HashSet of values which are present in both this set and that Iterable<A>. Computes set intersection (A โฉ B)
Time complexity: O(n) where n is the number of elements in the smaller set
NOTE: the hash and equal of the values in both the set and the iterable must be the same.
See
OtherHashSetoperations are module:HashSet.difference module:HashSet.union
Signature
declare const intersection: {
<A>(that: Iterable<A>): (self: HashSet<A>) => HashSet<A>;
<A>(self: HashSet<A>, that: Iterable<A>): HashSet<A>;
};Example
// Syntax
import { HashSet, pipe } from "effect"
// with data-last, a.k.a. pipeable API
pipe(HashSet.make(1, 2, 3), HashSet.intersection(HashSet.make(2, 3, 4)))
// or piped with the pipe function
HashSet.make(1, 2, 3).pipe(HashSet.intersection(HashSet.make(2, 3, 4)))
// or with data-first API
HashSet.intersection(HashSet.make(1, 2, 3), HashSet.make(2, 3, 4))Mutates the HashSet within the context of the provided function.
You can consider it a functional abstraction on top of the lower-level mutation primitives of module:HashSet.beginMutation -> mutable context -> HashSet.endMutation.
See
OtherHashSetmutations are module:HashSet.add module:HashSet.remove module:HashSet.toggle module:HashSet.beginMutation module:HashSet.endMutation
Signature
declare const mutate: {
<A>(f: (set: HashSet<A>) => void): (self: HashSet<A>) => HashSet<A>;
<A>(self: HashSet<A>, f: (set: HashSet<A>) => void): HashSet<A>;
};Example
// Syntax
import { HashSet, pipe } from "effect"
// with data-last, a.k.a. pipeable API
pipe(
HashSet.make(1, 2, 3),
HashSet.mutate((set) => {
HashSet.add(set, 4)
HashSet.remove(set, 1)
}),
)
// or piped with the pipe function
HashSet.make(1, 2, 3).pipe(
HashSet.mutate((set) => {
HashSet.add(set, 4)
HashSet.remove(set, 1)
}),
)
// or with data-first API
HashSet.mutate(HashSet.make(1, 2, 3), (set) => {
HashSet.add(set, 4)
HashSet.remove(set, 1)
})Removes a value from the HashSet.
Time complexity: O(1) average
See
OtherHashSetmutations are module:HashSet.add module:HashSet.toggle module:HashSet.beginMutation module:HashSet.endMutation module:HashSet.mutate
Signature
declare const remove: {
<A>(value: A): (self: HashSet<A>) => HashSet<A>;
<A>(self: HashSet<A>, value: A): HashSet<A>;
};Example
// Syntax
import { HashSet, pipe } from "effect"
// with `data-last`, a.k.a. `pipeable` API
pipe(HashSet.make(0, 1, 2), HashSet.remove(0))
// or piped with the pipe function
HashSet.make(0, 1, 2).pipe(HashSet.remove(0))
// or with `data-first` API
HashSet.remove(HashSet.make(0, 1, 2), 0)Checks if a value is present in the HashSet. If it is present, the value will be removed from the HashSet, otherwise the value will be added to the HashSet.
Time complexity: O(1) average
See
OtherHashSetmutations are module:HashSet.add module:HashSet.remove module:HashSet.beginMutation module:HashSet.endMutation module:HashSet.mutate
Signature
declare const toggle: {
<A>(value: A): (self: HashSet<A>) => HashSet<A>;
<A>(self: HashSet<A>, value: A): HashSet<A>;
};Example
// Syntax
import { HashSet, pipe } from "effect"
// with `data-last`, a.k.a. `pipeable` API
pipe(HashSet.make(0, 1, 2), HashSet.toggle(0))
// or piped with the pipe function
HashSet.make(0, 1, 2).pipe(HashSet.toggle(0))
// or with `data-first` API
HashSet.toggle(HashSet.make(0, 1, 2), 0)Computes the set union ( self โช that ) between this HashSet and the specified Iterable<A>.
Time complexity: O(n) where n is the number of elements in the set
NOTE: the hash and equal of the values in both the set and the iterable must be the same.
See
OtherHashSetoperations are module:HashSet.difference module:HashSet.intersection
Signature
declare const union: {
<A>(that: Iterable<A>): (self: HashSet<A>) => HashSet<A>;
<A>(self: HashSet<A>, that: Iterable<A>): HashSet<A>;
};Example
// Syntax
import { HashSet, pipe } from "effect"
// with data-last, a.k.a. pipeable API
pipe(HashSet.make(1, 2, 3), HashSet.union(HashSet.make(3, 4, 5)))
// or piped with the pipe function
HashSet.make(1, 2, 3).pipe(HashSet.union(HashSet.make(3, 4, 5)))
// or with data-first API
HashSet.union(HashSet.make(1, 2, 3), HashSet.make(3, 4, 5))Partitioning
Partition the values of a HashSet using the specified predicate.
If a value matches the predicate, it will be placed into the HashSet on the right side of the resulting Tuple, otherwise the value will be placed into the left side.
Time complexity is of O(n).
Signature
declare const partition: {
<A, B>(
refinement: Refinement<NoInfer<A>, B>,
): (self: HashSet<A>) => [excluded: HashSet<Exclude<A, B>>, satisfying: HashSet<B>];
<A>(
predicate: Predicate<NoInfer<A>>,
): (self: HashSet<A>) => [excluded: HashSet<A>, satisfying: HashSet<A>];
<A, B>(
self: HashSet<A>,
refinement: Refinement<A, B>,
): [excluded: HashSet<Exclude<A, B>>, satisfying: HashSet<B>];
<A>(self: HashSet<A>, predicate: Predicate<A>): [excluded: HashSet<A>, satisfying: HashSet<A>];
};Example
// Syntax with Predicate
import { HashSet, pipe, Predicate } from "effect"
// with `data-last`, a.k.a. `pipeable` API
pipe(
HashSet.make(0, 1, 2, 3, 4, 5),
HashSet.partition((n) => n % 2 === 0),
)
// or with the pipe method
HashSet.make(0, 1, 2, 3, 4, 5).pipe(HashSet.partition((n) => n % 2 === 0))
// or with `data-first` API
HashSet.partition(HashSet.make(0, 1, 2, 3, 4, 5), (n) => n % 2 === 0)Example
// Syntax with Refinement
import { HashSet, pipe, Predicate } from "effect"
const stringRefinement: Predicate.Refinement<string | number, string> = (value) =>
typeof value === "string"
// with `data-last`, a.k.a. `pipeable` API
pipe(HashSet.make(1, "unos", 2, "two", 3, "trois", 4, "vier"), HashSet.partition(stringRefinement))
// or with the pipe method
HashSet.make(1, "unos", 2, "two", 3, "trois", 4, "vier").pipe(HashSet.partition(stringRefinement))
// or with `data-first` API
HashSet.partition(HashSet.make(1, "unos", 2, "two", 3, "trois", 4, "vier"), stringRefinement)Refinements
Sequencing
Chains over the values of the HashSet using the specified function.
The time complexity is of O(n).
Signature
declare const flatMap: {
<A, B>(f: (a: A) => Iterable<B>): (self: HashSet<A>) => HashSet<B>;
<A, B>(self: HashSet<A>, f: (a: A) => Iterable<B>): HashSet<B>;
};Example
// Syntax
import { HashSet, pipe } from "effect"
// with `data-last`, a.k.a. `pipeable` API
pipe(
HashSet.make(0, 1, 2), // HashSet.HashSet<number>
HashSet.flatMap((n) => Array.of(String(n))), // HashSet.HashSet<string>
)
// or piped with the pipe method
HashSet.make(0, 1, 2) // HashSet.HashSet<number>
.pipe(
HashSet.flatMap((n) => Array.of(String(n))), // HashSet.HashSet<string>
)
// or with `data-first` API
HashSet.flatMap(HashSet.make(0, 1, 2), (n) => Array.of(String(n)))Symbol
Traversing
Applies the specified function to the values of the HashSet.
The time complexity is of O(n).
Signature
declare const forEach: {
<A>(f: (value: A) => void): (self: HashSet<A>) => void;
<A>(self: HashSet<A>, f: (value: A) => void): void;
};Example
// Syntax
import { HashSet, pipe } from "effect"
// with `data-last`, a.k.a. `pipeable` API
pipe(HashSet.make(0, 1, 2), HashSet.forEach(console.log)) // logs: 0 1 2
// or piped with the pipe method
HashSet.make(0, 1, 2).pipe(HashSet.forEach(console.log)) // logs: 0 1 2
// or with `data-first` API
HashSet.forEach(HashSet.make(0, 1, 2), console.log) // logs: 0 1 2
Creates an empty
HashSet.Time complexity:
O(1)See
OtherHashSetconstructors are module:HashSet.make module:HashSet.fromIterable