Test two objects for inequality.

Equivalent to x.hashCode except for boxed numeric types and null. For numerics, it returns a hash value which is consistent with value equality: if two value type instances compare as true, then ## will produce the same hash value for each of them. For null returns a hashcode where null.hashCode throws a NullPointerException.

Adds all elements provided by a IterableOnce object into the priority queue.

Alias for concat

Alias for addAll

Alias for addOne

The expression x == that is equivalent to if (x eq null) that eq null else x.equals(that).

Adds all elements produced by an IterableOnce to this priority queue.

Inserts a single element into the priority queue.

Appends all elements of this priority queue to a string builder. The written text consists of the string representations (w.r.t. the method toString) of all elements of this priority queue without any separator string.

Example:

scala> val a = List(1,2,3,4)
a: List[Int] = List(1, 2, 3, 4)

scala> val b = new StringBuilder()
b: StringBuilder =

scala> val h = a.addString(b)
h: StringBuilder = 1234

Appends all elements of this priority queue to a string builder using a separator string. The written text consists of the string representations (w.r.t. the method toString) of all elements of this priority queue, separated by the string sep.

Example:

scala> val a = List(1,2,3,4)
a: List[Int] = List(1, 2, 3, 4)

scala> val b = new StringBuilder()
b: StringBuilder =

scala> a.addString(b, ", ")
res0: StringBuilder = 1, 2, 3, 4

Appends all elements of this priority queue to a string builder using start, end, and separator strings. The written text begins with the string start and ends with the string end. Inside, the string representations (w.r.t. the method toString) of all elements of this priority queue are separated by the string sep.

Example:

scala> val a = List(1,2,3,4)
a: List[Int] = List(1, 2, 3, 4)

scala> val b = new StringBuilder()
b: StringBuilder =

scala> a.addString(b , "List(" , ", " , ")")
res5: StringBuilder = List(1, 2, 3, 4)

Forces the compiler to treat the receiver object as having type T0, even though doing so may violate type safety.

This method is useful when you believe you have type information the compiler doesn't, and it also isn't possible to check the type at runtime. In such situations, skipping type safety is the only option.

It is platform dependent whether asInstanceOf has any effect at runtime. It might do a runtime type test on the erasure of T0, insert a conversion (such as boxing/unboxing), fill in a default value, or do nothing at all.

In particular, asInstanceOf is not a type test. It does **not** mean:

this match {
 case x: T0 => x
 case _     => throw ClassCastException("...")

Use pattern matching or isInstanceOf for type testing instead.

Situations where asInstanceOf is useful:

• when flow analysis fails to deduce T0 automatically
• when down-casting a type parameter or an abstract type member (which cannot be checked at runtime due to type erasure) If there is any doubt and you are able to type test instead, you should do so.

Be careful of using asInstanceOf when T0 is a primitive type. When T0 is primitive, asInstanceOf may insert a conversion instead of a type test. If your intent is to convert, use a toT method (x.toChar, x.toByte, etc.).

Defines the prefix of this object's toString representation.

It is recommended to return the name of the concrete collection type, but not implementation subclasses. For example, for ListMap this method should return "ListMap", not "Map" (the supertype) or "Node" (an implementation subclass).

The default implementation returns "Iterable". It is overridden for the basic collection kinds "Seq", "IndexedSeq", "LinearSeq", "Buffer", "Set", "Map", "SortedSet", "SortedMap" and "View".

Removes all elements from the queue. After this operation is completed, the queue will be empty.

This method clones the priority queue.

Builds a new priority queue by applying a partial function to all elements of this priority queue on which the function is defined.

Finds the first element of the priority queue for which the given partial function is defined, and applies the partial function to it.

Returns a new priority queue containing the elements from the left hand operand followed by the elements from the right hand operand. The element type of the priority queue is the most specific superclass encompassing the element types of the two operands.

Copy elements to an array, returning the number of elements written.

Fills the given array xs starting at index start with at most len elements of this priority queue.

Copying will stop once either all the elements of this priority queue have been copied, or the end of the array is reached, or len elements have been copied.

Copies elements to an array, returning the number of elements written.

Fills the given array xs starting at index start with values of this priority queue.

Copying will stop once either all the elements of this priority queue have been copied, or the end of the array is reached.

Copies elements to an array, returning the number of elements written.

Fills the given array xs starting at index start with values of this priority queue.

Copying will stop once either all the elements of this priority queue have been copied, or the end of the array is reached.

Tests whether every element of this collection's iterator relates to the corresponding element of another collection by satisfying a test predicate.

Counts the number of elements in the priority queue which satisfy a predicate.

Returns the element with the highest priority in the queue, and removes this element from the queue.

Selects all elements except the first n ones.

The rest of the collection without its n last elements. For linear, immutable collections this should avoid making a copy.

Note: Even when applied to a view or a lazy collection it will always force the elements.

Selects all elements except the longest prefix that satisfies a predicate.

The matching prefix starts with the first element of this priority queue, and the element following the prefix is the first element that does not satisfy the predicate. The matching prefix may be empty, so that this method returns the entire priority queue.

Example:

scala> List(1, 2, 3, 100, 4).dropWhile(n => n < 10)
val res0: List[Int] = List(100, 4)

scala> List(1, 2, 3, 100, 4).dropWhile(n => n == 0)
val res1: List[Int] = List(1, 2, 3, 100, 4)

Use span to obtain both the prefix and suffix. Use filterNot to drop all elements that satisfy the predicate.

The empty iterable of the same type as this iterable.

Adds all elements to the queue.

Tests whether the argument (that) is a reference to the receiver object (this).

The eq method implements an equivalence relation on non-null instances of AnyRef, and has three additional properties:

• It is consistent: for any non-null instances x and y of type AnyRef, multiple invocations of x.eq(y) consistently returns true or consistently returns false.
• For any non-null instance x of type AnyRef, x.eq(null) and null.eq(x) returns false.
• null.eq(null) returns true.

When overriding the equals or hashCode methods, it is important to ensure that their behavior is consistent with reference equality. Therefore, if two objects are references to each other (o1 eq o2), they should be equal to each other (o1 == o2) and they should hash to the same value (o1.hashCode == o2.hashCode).

The equality method for reference types. Default implementation delegates to eq.

See also equals in scala.Any.

Tests whether a predicate holds for at least one element of this priority queue.

Selects all elements of this priority queue which satisfy a predicate.

Selects all elements of this priority queue which do not satisfy a predicate.

Called by the garbage collector on the receiver object when there are no more references to the object.

The details of when and if the finalize method is invoked, as well as the interaction between finalize and non-local returns and exceptions, are all platform dependent.

Finds the first element of the priority queue satisfying a predicate, if any.

Builds a new priority queue by applying a function to all elements of this priority queue and using the elements of the resulting collections.

For example:

def getWords(lines: Seq[String]): Seq[String] = lines flatMap (line => line split "\\W+")

The type of the resulting collection is guided by the static type of priority queue. This might cause unexpected results sometimes. For example:

// lettersOf will return a Seq[Char] of likely repeated letters, instead of a Set
def lettersOf(words: Seq[String]) = words flatMap (word => word.toSet)

// lettersOf will return a Set[Char], not a Seq
def lettersOf(words: Seq[String]) = words.toSet flatMap ((word: String) => word.toSeq)

// xs will be an Iterable[Int]
val xs = Map("a" -> List(11,111), "b" -> List(22,222)).flatMap(_._2)

// ys will be a Map[Int, Int]
val ys = Map("a" -> List(1 -> 11,1 -> 111), "b" -> List(2 -> 22,2 -> 222)).flatMap(_._2)

Converts this priority queue of iterable collections into a priority queue formed by the elements of these iterable collections.

The resulting collection's type will be guided by the type of priority queue. For example:

val xs = List(
           Set(1, 2, 3),
           Set(1, 2, 3)
         ).flatten
// xs == List(1, 2, 3, 1, 2, 3)

val ys = Set(
           List(1, 2, 3),
           List(3, 2, 1)
         ).flatten
// ys == Set(1, 2, 3)

Applies the given binary operator op to the given initial value z and all elements of this priority queue.

For each application of the operator, each operand is either an element of this priority queue, the initial value, or another such application of the operator.

The order of applications of the operator is unspecified and may be nondeterministic. Each element appears exactly once in the computation. The initial value may be used an arbitrary number of times, but at least once.

If this collection is ordered, then for any application of the operator, the element(s) appearing in the left operand will precede those in the right.

Note: might return different results for different runs, unless either of the following conditions is met: (1) the operator is associative, and the underlying collection type is ordered; or (2) the operator is associative and commutative. In either case, it is also necessary that the initial value be a neutral value for the operator, e.g. Nil for List concatenation or 1 for multiplication.

The default implementation in IterableOnce is equivalent to foldLeft but may be overridden for more efficient traversal orders.

Applies the given binary operator op to the given initial value z and all elements of this priority queue, going left to right. Returns the initial value if this priority queue is empty.

"Going left to right" only makes sense if this collection is ordered: then if x1, x2, ..., xn are the elements of this priority queue, the result is op( op( ... op( op(z, x1), x2) ... ), xn).

If this collection is not ordered, then for each application of the operator, each right operand is an element. In addition, the leftmost operand is the initial value, and each other left operand is itself an application of the operator. The elements of this priority queue and the initial value all appear exactly once in the computation.

Applies the given binary operator op to all elements of this priority queue and the given initial value z, going right to left. Returns the initial value if this priority queue is empty.

"Going right to left" only makes sense if this collection is ordered: then if x1, x2, ..., xn are the elements of this priority queue, the result is op(x1, op(x2, op( ... op(xn, z) ... ))).

If this collection is not ordered, then for each application of the operator, each left operand is an element. In addition, the rightmost operand is the initial value, and each other right operand is itself an application of the operator. The elements of this priority queue and the initial value all appear exactly once in the computation.

Tests whether a predicate holds for all elements of this priority queue.

Applies f to each element for its side effects. Note: U parameter needed to help scalac's type inference.

Defines how to turn a given Iterable[A] into a collection of type C.

This process can be done in a strict way or a non-strict way (ie. without evaluating the elements of the resulting collections). In other words, this methods defines the evaluation model of the collection.

Returns the runtime class representation of the object.

Partitions this priority queue into a map of priority queues according to some discriminator function.

Note: Even when applied to a view or a lazy collection it will always force the elements.

Partitions this priority queue into a map of priority queues according to a discriminator function key. Each element in a group is transformed into a value of type B using the value function.

It is equivalent to groupBy(key).mapValues(_.map(f)), but more efficient.

case class User(name: String, age: Int)

def namesByAge(users: Seq[User]): Map[Int, Seq[String]] =
  users.groupMap(_.age)(_.name)

Note: Even when applied to a view or a lazy collection it will always force the elements.

Partitions this priority queue into a map according to a discriminator function key. All the values that have the same discriminator are then transformed by the f function and then reduced into a single value with the reduce function.

It is equivalent to groupBy(key).mapValues(_.map(f).reduce(reduce)), but more efficient.

def occurrences[A](as: Seq[A]): Map[A, Int] =
  as.groupMapReduce(identity)(_ => 1)(_ + _)

Note: Even when applied to a view or a lazy collection it will always force the elements.

Partitions elements in fixed size priority queues.

The hashCode method for reference types. See hashCode in scala.Any.

Returns the element with the highest priority in the queue, or throws an error if there is no element contained in the queue.

Optionally selects the first element.

The initial part of the collection without its last element.

Note: Even when applied to a view or a lazy collection it will always force the elements.

Iterates over the inits of this priority queue. The first value will be this priority queue and the final one will be an empty priority queue, with the intervening values the results of successive applications of init.

Note: Even when applied to a view or a lazy collection it will always force the elements.

Tests whether the priority queue is empty.

Note: The default implementation creates and discards an iterator.

Note: Implementations in subclasses that are not repeatedly iterable must take care not to consume any elements when isEmpty is called.

Test whether the dynamic type of the receiver object has the same erasure as T0.

Depending on what T0 is, the test is done in one of the below ways:

• T0 is a non-parameterized class type, e.g. BigDecimal: this method returns true if the value of the receiver object is a BigDecimal or a subtype of BigDecimal.
• T0 is a parameterized class type, e.g. List[Int]: this method returns true if the value of the receiver object is some List[X] for any X. For example, List(1, 2, 3).isInstanceOf[List[String]] will return true.
• T0 is some singleton type x.type or literal x: this method returns this.eq(x). For example, x.isInstanceOf[1] is equivalent to x.eq(1)
• T0 is an intersection X with Y or X & Y: this method is equivalent to x.isInstanceOf[X] && x.isInstanceOf[Y]
• T0 is a union X | Y: this method is equivalent to x.isInstanceOf[X] || x.isInstanceOf[Y]
• T0 is a type parameter or an abstract type member: this method is equivalent to isInstanceOf[U] where U is T0's upper bound, Any if T0 is unbounded. For example, x.isInstanceOf[A] where A is an unbounded type parameter will return true for any value of x.

This is exactly equivalent to the type pattern _: T0

Tests whether this priority queue can be repeatedly traversed. Always true for Iterables and false for Iterators unless overridden.

The companion object of this priority queue, providing various factory methods.

Returns an iterator which yields all the elements.

Note: The order of elements returned is undefined. If you want to traverse the elements in priority queue order, use clone().dequeueAll.iterator.

The number of elements in the collection under construction, if it can be cheaply computed, -1 otherwise.

Selects the last element.

Optionally selects the last element.

Analogous to zip except that the elements in each collection are not consumed until a strict operation is invoked on the returned LazyZip2 decorator.

Calls to lazyZip can be chained to support higher arities (up to 4) without incurring the expense of constructing and deconstructing intermediary tuples.

val xs = List(1, 2, 3)
val res = (xs lazyZip xs lazyZip xs lazyZip xs).map((a, b, c, d) => a + b + c + d)
// res == List(4, 8, 12)

Builds a new priority queue by applying a function to all elements of this priority queue.

Replace the contents of this priority queue with the mapped result.

A builder resulting from this builder by mapping the result using f.

Finds the largest element.

Finds the first element which yields the largest value measured by function f.

Finds the first element which yields the largest value measured by function f.

Finds the largest element.

Finds the smallest element.

Finds the first element which yields the smallest value measured by function f.

Finds the first element which yields the smallest value measured by function f.

Finds the smallest element.

Displays all elements of this priority queue in a string.

Delegates to addString, which can be overridden.

Displays all elements of this priority queue in a string using a separator string.

Delegates to addString, which can be overridden.

Displays all elements of this priority queue in a string using start, end, and separator strings.

Delegates to addString, which can be overridden.

Equivalent to !(this eq that).

Tests whether the priority queue is not empty.

Wakes up a single thread that is waiting on the receiver object's monitor.

Wakes up all threads that are waiting on the receiver object's monitor.

A pair of, first, all elements that satisfy predicate p and, second, all elements that do not.

The two priority queue correspond to the result of filter and filterNot, respectively.

The default implementation provided here needs to traverse the collection twice. Strict collections have an overridden version of partition in StrictOptimizedIterableOps, which requires only a single traversal.

Applies a function f to each element of the priority queue and returns a pair of priority queues: the first one made of those values returned by f that were wrapped in scala.util.Left, and the second one made of those wrapped in scala.util.Right.

Example:

val xs = PriorityQueue(1, "one", 2, "two", 3, "three") partitionMap {
 case i: Int => Left(i)
 case s: String => Right(s)
}
// xs == (PriorityQueue(1, 2, 3),
//        PriorityQueue(one, two, three))

Multiplies together the elements of this collection.

The default implementation uses reduce for a known non-empty collection, foldLeft otherwise.

Applies the given binary operator op to all elements of this priority queue.

For each application of the operator, each operand is either an element of this priority queue or another such application of the operator. The order of applications of the operator is unspecified and may be nondeterministic. Each element appears exactly once in the computation.

If this collection is ordered, then for any application of the operator, the element(s) appearing in the left operand will precede those in the right.

Note: might return different results for different runs, unless either of the following conditions is met: (1) the operator is associative, and the underlying collection type is ordered; or (2) the operator is associative and commutative.

Applies the given binary operator op to all elements of this priority queue, going left to right.

"Going left to right" only makes sense if this collection is ordered: then if x1, x2, ..., xn are the elements of this priority queue, the result is op( op( op( ... op(x1, x2) ... ), xn-1), xn).

If this collection is not ordered, then for each application of the operator, each right operand is an element. In addition, the leftmost operand is the first element of this priority queue and each other left operand is itself an application of the operator. Each element appears exactly once in the computation.

Note: might return different results for different runs, unless the underlying collection type is ordered or the operator is associative and commutative.

If this priority queue is nonempty, reduces it with the given binary operator op, going left to right.

The behavior is the same as reduceLeft except that the value is None if the priority queue is empty. Each element appears exactly once in the computation.

Note: might return different results for different runs, unless the underlying collection type is ordered or the operator is associative and commutative.

If this priority queue is nonempty, reduces it with the given binary operator op.

The behavior is the same as reduce except that the value is None if the priority queue is empty. The order of applications of the operator is unspecified and may be nondeterministic. Each element appears exactly once in the computation.

Note: might return different results for different runs, unless either of the following conditions is met: (1) the operator is associative, and the underlying collection type is ordered; or (2) the operator is associative and commutative.

Applies the given binary operator op to all elements of this priority queue, going right to left.

"Going right to left" only makes sense if this collection is ordered: then if x1, x2, ..., xn are the elements of this priority queue, the result is op(x1, op(x2, op( ... op(xn-1, xn) ... ))).

If this collection is not ordered, then for each application of the operator, each left operand is an element. In addition, the rightmost operand is the last element of this priority queue and each other right operand is itself an application of the operator. Each element appears exactly once in the computation.

Note: might return different results for different runs, unless the underlying collection type is ordered or the operator is associative and commutative.

If this priority queue is nonempty, reduces it with the given binary operator op, going right to left.

The behavior is the same as reduceRight except that the value is None if the priority queue is empty. Each element appears exactly once in the computation.

Note: might return different results for different runs, unless the underlying collection type is ordered or the operator is associative and commutative.

Result collection consisting of all elements appended so far.

Returns the reverse of this priority queue. The new priority queue has the same elements as the original, but the opposite ordering.

For example, the element with the highest priority in pq has the lowest priority in pq.reverse, and vice versa.

Ties are handled arbitrarily. Elements with equal priority may or may not be reversed with respect to each other.

Returns an iterator which yields all the elements in the reverse order than that returned by the method iterator.

Note: The order of elements returned is undefined.

Computes a prefix scan of the elements of the collection.

Note: The neutral element z may be applied more than once.

Produces a priority queue containing cumulative results of applying the operator going left to right, including the initial value.

Produces a collection containing cumulative results of applying the operator going right to left. The head of the collection is the last cumulative result.

Note: Even when applied to a view or a lazy collection it will always force the elements.

Example:

List(1, 2, 3, 4).scanRight(0)(_ + _) == List(10, 9, 7, 4, 0)

The size of this priority queue.

Compares the size of this priority queue to the size of another Iterable.

Compares the size of this priority queue to a test value.

Gives a hint that the result of this builder is expected to have the same size as the given collection, plus some delta.

This method provides a hint only if the collection has a known size, as specified by the following pseudocode:

if (coll.knownSize != -1)
  if (coll.knownSize + delta <= 0) sizeHint(0)
  else sizeHint(coll.knownSize + delta)

If the delta is negative and the result size is known to be negative, then the size hint is issued at zero.

Some builder classes will optimize their representation based on the hint. However, builder implementations are required to work correctly even if the hint is wrong, i.e., if a different number of elements is added.

Gives a hint how many elements are expected to be added in total by the time result is called.

Some builder classes will optimize their representation based on the hint. However, builder implementations are required to work correctly even if the hint is wrong, e.g., a different number of elements is added, or the hint is out of range.

The default implementation simply ignores the hint.

Gives a hint how many elements are expected to be added when the next result is called, together with an upper bound given by the size of some other collection. Some builder classes will optimize their representation based on the hint. However, builder implementations are still required to work correctly even if the hint is wrong, i.e. a different number of elements is added.

Returns a value class containing operations for comparing the size of this priority queue to a test value.

These operations are implemented in terms of sizeCompare(Int), and allow the following more readable usages:

this.sizeIs < size     // this.sizeCompare(size) < 0
this.sizeIs <= size    // this.sizeCompare(size) <= 0
this.sizeIs == size    // this.sizeCompare(size) == 0
this.sizeIs != size    // this.sizeCompare(size) != 0
this.sizeIs >= size    // this.sizeCompare(size) >= 0
this.sizeIs > size     // this.sizeCompare(size) > 0

Selects an interval of elements. The returned priority queue is made up of all elements x which satisfy the invariant:

from <= indexOf(x) < until

Groups elements in fixed size blocks by passing a "sliding window" over them (as opposed to partitioning them, as is done in grouped).

The returned iterator will be empty when called on an empty collection. The last element the iterator produces may be smaller than the window size when the original collection isn't exhausted by the window before it and its last element isn't skipped by the step before it.

Groups elements in fixed size blocks by passing a "sliding window" over them (as opposed to partitioning them, as is done in grouped).

An empty collection returns an empty iterator, and a non-empty collection containing fewer elements than the window size returns an iterator that will produce the original collection as its only element.

Splits this priority queue into a prefix/suffix pair according to a predicate.

Note: c span p is equivalent to (but possibly more efficient than) (c takeWhile p, c dropWhile p), provided the evaluation of the predicate p does not cause any side-effects.

Splits this priority queue into a prefix/suffix pair at a given position.

Note: c splitAt n is equivalent to (but possibly more efficient than) (c take n, c drop n).

Returns a scala.collection.Stepper for the elements of this collection.

The Stepper enables creating a Java stream to operate on the collection, see scala.jdk.StreamConverters. For collections holding primitive values, the Stepper can be used as an iterator which doesn't box the elements.

The implicit scala.collection.StepperShape parameter defines the resulting Stepper type according to the element type of this collection.

• For collections of Int, Short, Byte or Char, an scala.collection.IntStepper is returned
• For collections of Double or Float, a scala.collection.DoubleStepper is returned
• For collections of Long a scala.collection.LongStepper is returned
• For any other element type, an scala.collection.AnyStepper is returned

Note that this method is overridden in subclasses and the return type is refined to S with EfficientSplit, for example scala.collection.IndexedSeqOps.stepper. For Steppers marked with scala.collection.Stepper.EfficientSplit, the converters in scala.jdk.StreamConverters allow creating parallel streams, whereas bare Steppers can be converted only to sequential streams.

Sums the elements of this collection.

The default implementation uses reduce for a known non-empty collection, foldLeft otherwise.

Executes the code in body with an exclusive lock on this.

The rest of the collection without its first element.

Iterates over the tails of this priority queue. The first value will be this priority queue and the final one will be an empty priority queue, with the intervening values the results of successive applications of tail.

Selects the first n elements.

A collection containing the last n elements of this collection.

Note: Even when applied to a view or a lazy collection it will always force the elements.

Takes longest prefix of elements that satisfy a predicate.

Applies a side-effecting function to each element in this collection. Strict collections will apply f to their elements immediately, while lazy collections like Views and LazyLists will only apply f on each element if and when that element is evaluated, and each time that element is evaluated.

Given a collection factory factory, converts this priority queue to the appropriate representation for the current element type A. Example uses:

xs.to(List)
xs.to(ArrayBuffer)
xs.to(BitSet) // for xs: Iterable[Int]

Converts this priority queue to an Array.

Implementation note: DO NOT call Array.from from this method.

Converts this priority queue to a Buffer.

Converts this priority queue to an IndexedSeq.

Converts this priority queue to a list.

Note: the order of elements is undefined.

Converts this priority queue to a Map, given an implicit coercion from the priority queue's type to a key-value tuple.

Returns a regular queue containing the same elements.

Note: the order of elements is undefined.

Converts this priority queue to a Set.

Returns a textual representation of a queue as a string.

Converts this priority queue to a Vector.

Transposes this priority queue of iterable collections into a priority queue of priority queues.

The resulting collection's type will be guided by the static type of priority queue. For example:

val xs = List(
           Set(1, 2, 3),
           Set(4, 5, 6)).transpose
// xs == List(
//         List(1, 4),
//         List(2, 5),
//         List(3, 6))

val ys = Vector(
           List(1, 2, 3),
           List(4, 5, 6)).transpose
// ys == Vector(
//         Vector(1, 4),
//         Vector(2, 5),
//         Vector(3, 6))

Note: Even when applied to a view or a lazy collection it will always force the elements.

Converts this priority queue of pairs into two collections of the first and second half of each pair.

val xs = PriorityQueue(
           (1, "one"),
           (2, "two"),
           (3, "three")).unzip
// xs == (PriorityQueue(1, 2, 3),
//        PriorityQueue(one, two, three))

Converts this priority queue of triples into three collections of the first, second, and third element of each triple.

val xs = PriorityQueue(
           (1, "one", '1'),
           (2, "two", '2'),
           (3, "three", '3')).unzip3
// xs == (PriorityQueue(1, 2, 3),
//        PriorityQueue(one, two, three),
//        PriorityQueue(1, 2, 3))

A view over the elements of this collection.

See https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait--.

See https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait-long-int-

See https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait-long-.

Creates a non-strict filter of this priority queue.

Note: the difference between c filter p and c withFilter p is that the former creates a new collection, whereas the latter only restricts the domain of subsequent map, flatMap, foreach, and withFilter operations.

Returns a priority queue formed from this priority queue and another iterable collection by combining corresponding elements in pairs. If one of the two collections is longer than the other, its remaining elements are ignored.

Returns a priority queue formed from this priority queue and another iterable collection by combining corresponding elements in pairs. If one of the two collections is shorter than the other, placeholder elements are used to extend the shorter collection to the length of the longer.

Zips this priority queue with its indices.

Adds two or more elements to this priority queue.

Aggregates the results of applying an operator to subsequent elements.

Since this method degenerates to foldLeft for sequential (non-parallel) collections, where the combining operation is ignored, it is advisable to prefer foldLeft for that case.

For parallel collections, use the aggregate method specified by scala.collection.parallel.ParIterableLike.