This chapter covers the operators of the Groovy programming language.

1. Arithmetic operators

Groovy supports the usual familiar arithmetic operators you find in mathematics and in other programming languages like Java. All the Java arithmetic operators are supported. Let’s go through them in the following examples.

1.1. Normal arithmetic operators

The following binary arithmetic operators are available in Groovy:

Operator Purpose Remarks

+

addition

-

subtraction

*

multiplication

/

division

Use intdiv() for integer division, and see the section about integer division for more information on the return type of the division.

%

remainder

**

power

See the section about the power operation for more information on the return type of the operation.

Here are a few examples of usage of those operators:

assert  1  + 2 == 3
assert  4  - 3 == 1
assert  3  * 5 == 15
assert  3  / 2 == 1.5
assert 10  % 3 == 1
assert  2 ** 3 == 8

1.2. Unary operators

The + and - operators are also available as unary operators:

assert +3 == 3
assert -4 == 0 - 4

assert -(-1) == 1  (1)
1 Note the usage of parentheses to surround an expression to apply the unary minus to that surrounded expression.

In terms of unary arithmetics operators, the ++ (increment) and -- (decrement) operators are available, both in prefix and postfix notation:

def a = 2
def b = a++ * 3             (1)

assert a == 3 && b == 6

def c = 3
def d = c-- * 2             (2)

assert c == 2 && d == 6

def e = 1
def f = ++e + 3             (3)

assert e == 2 && f == 5

def g = 4
def h = --g + 1             (4)

assert g == 3 && h == 4
1 The postfix increment will increment a after the expression has been evaluated and assigned into b
2 The postfix decrement will decrement c after the expression has been evaluated and assigned into d
3 The prefix increment will increment e before the expression is evaluated and assigned into f
4 The prefix decrement will decrement g before the expression is evaluated and assigned into h

1.3. Assignment arithmetic operators

The binary arithmetic operators we have seen above are also available in an assignment form:

  • +=

  • -=

  • *=

  • /=

  • %=

  • **=

Let’s see them in action:

def a = 4
a += 3

assert a == 7

def b = 5
b -= 3

assert b == 2

def c = 5
c *= 3

assert c == 15

def d = 10
d /= 2

assert d == 5

def e = 10
e %= 3

assert e == 1

def f = 3
f **= 2

assert f == 9

2. Relational operators

Relational operators allow comparisons between objects, to know if two objects are the same or different, or if one is greater than, less than, or equal to the other.

The following operators are available:

Operator Purpose

==

equal

!=

different

<

less than

<=

less than or equal

>

greater than

>=

greater than or equal

Here are some examples of simple number comparisons using these operators:

assert 1 + 2 == 3
assert 3 != 4

assert -2 < 3
assert 2 <= 2
assert 3 <= 4

assert 5 > 1
assert 5 >= -2

3. Logical operators

Groovy offers three logical operators for boolean expressions:

  • &&: logical "and"

  • ||: logical "or"

  • !: logical "not"

Let’s illustrate them with the following examples:

assert !false           (1)
assert true && true     (2)
assert true || false    (3)
1 "not" false is true
2 true "and" true is true
3 true "or" false is true

3.1. Precedence

The logical "not" has a higher priority than the logical "and".

assert (!false && false) == false   (1)
1 Here, the assertion is true (as the expression in parentheses is false), because "not" has a higher precedence than "and", so it only applies to the first "false" term; otherwise, it would have applied to the result of the "and", turned it into true, and the assertion would have failed

The logical "and" has a higher priority than the logical "or".

assert true || true && false        (1)
1 Here, the assertion is true, because "and" has a higher precedence than "or", therefore the "or" is executed last and returns true, having one true argument; otherwise, the "and" would have executed last and returned false, having one false argument, and the assertion would have failed

3.2. Short-circuiting

The logical || operator supports short-circuiting: if the left operand is true, it knows that the result will be true in any case, so it won’t evaluate the right operand. The right operand will be evaluated only if the left operand is false.

Likewise for the logical && operator: if the left operand is false, it knows that the result will be false in any case, so it won’t evaluate the right operand. The right operand will be evaluated only if the left operand is true.

boolean checkIfCalled() {   (1)
    called = true
}

called = false
true || checkIfCalled()
assert !called              (2)

called = false
false || checkIfCalled()
assert called               (3)

called = false
false && checkIfCalled()
assert !called              (4)

called = false
true && checkIfCalled()
assert called               (5)
1 We create a function that sets the called flag to true whenever it’s called
2 In the first case, after resetting the called flag, we confirm that if the left operand to || is true, the function is not called, as || short-circuits the evaluation of the right operand
3 In the second case, the left operand is false and so the function is called, as indicated by the fact our flag is now true
4 Likewise for &&, we confirm that the function is not called with a false left operand
5 But the function is called with a true left operand

4. Bitwise operators

Groovy offers 4 bitwise operators:

  • &: bitwise "and"

  • |: bitwise "or"

  • ^: bitwise "xor" (exclusive "or")

  • ~: bitwise negation

Bitwise operators can be applied on a byte or an int and return an int:

int a = 0b00101010
assert a == 42
int b = 0b00001000
assert b == 8
assert (a & a) == a                     (1)
assert (a & b) == b                     (2)
assert (a | a) == a                     (3)
assert (a | b) == a                     (4)

int mask = 0b11111111                   (5)
assert ((a ^ a) & mask) == 0b00000000   (6)
assert ((a ^ b) & mask) == 0b00100010   (7)
assert ((~a) & mask)    == 0b11010101   (8)
1 bitwise and
2 bitwise and returns common bits
3 bitwise or
4 bitwise or returns all '1' bits
5 setting a mask to check only the last 8 bits
6 bitwise exclusive or on self returns 0
7 bitwise exclusive or
8 bitwise negation

It’s worth noting that the internal representation of primitive types follow the Java Language Specification. In particular, primitive types are signed, meaning that for a bitwise negation, it is always good to use a mask to retrieve only the necessary bits.

In Groovy, bitwise operators have the particularity of being overloadable, meaning that you can define the behavior of those operators for any kind of object.

5. Conditional operators

5.1. Not operator

The "not" operator is represented with an exclamation mark (!) and inverts the result of the underlying boolean expression. In particular, it is possible to combine the not operator with the Groovy truth:

assert (!true)    == false                      (1)
assert (!'foo')   == false                      (2)
assert (!'')      == true                       (3)
1 the negation of true is false
2 'foo' is a non empty string, evaluating to true, so negation returns false
3 '' is an empty string, evaluating to false, so negation returns true

5.2. Ternary operator

The ternary operator is a shortcut expression that is equivalent to an if/else branch assigning some value to a variable.

Instead of:

if (string!=null && string.length()>0) {
    result = 'Found'
} else {
    result = 'Not found'
}

You can write:

result = (string!=null && string.length()>0) ? 'Found' : 'Not found'

The ternary operator is also compatible with the Groovy truth, so you can make it even simpler:

result = string ? 'Found' : 'Not found'

5.3. Elvis operator

The "Elvis operator" is a shortening of the ternary operator. One instance of where this is handy is for returning a 'sensible default' value if an expression resolves to false-ish (as in Groovy truth). A simple example might look like this:

displayName = user.name ? user.name : 'Anonymous'   (1)
displayName = user.name ?: 'Anonymous'              (2)
1 with the ternary operator, you have to repeat the value you want to assign
2 with the Elvis operator, the value, which is tested, is used if it is not false-ish

Usage of the Elvis operator reduces the verbosity of your code and reduces the risks of errors in case of refactorings, by removing the need to duplicate the expression which is tested in both the condition and the positive return value.

6. Object operators

6.1. Safe navigation operator

The Safe Navigation operator is used to avoid a NullPointerException. Typically when you have a reference to an object you might need to verify that it is not null before accessing methods or properties of the object. To avoid this, the safe navigation operator will simply return null instead of throwing an exception, like so:

def person = Person.find { it.id == 123 }    (1)
def name = person?.name                      (2)
assert name == null                          (3)
1 find will return a null instance
2 use of the null-safe operator prevents from a NullPointerException
3 result is null

6.2. Direct field access operator

Normally in Groovy, when you write code like this:

class User {
    public final String name                 (1)
    User(String name) { this.name = name}
    String getName() { "Name: $name" }       (2)
}
def user = new User('Bob')
assert user.name == 'Name: Bob'              (3)
1 public field name
2 a getter for name that returns a custom string
3 calls the getter

The user.name call triggers a call to the property of the same name, that is to say, here, to the getter for name. If you want to retrieve the field instead of calling the getter, you can use the direct field access operator:

assert user.@name == 'Bob'                   (1)
1 use of .@ forces usage of the field instead of the getter

6.3. Method pointer operator

The method pointer operator (.&) call be used to store a reference to a method in a variable, in order to call it later:

def str = 'example of method reference'            (1)
def fun = str.&toUpperCase                         (2)
def upper = fun()                                  (3)
assert upper == str.toUpperCase()                  (4)
1 the str variable contains a String
2 we store a reference to the toUpperCase method on the str instance inside a variable named fun
3 fun can be called like a regular method
4 we can check that the result is the same as if we had called it directly on str

There are multiple advantages in using method pointers. First of all, the type of such a method pointer is a groovy.lang.Closure, so it can be used in any place a closure would be used. In particular, it is suitable to convert an existing method for the needs of the strategy pattern:

def transform(List elements, Closure action) {                    (1)
    def result = []
    elements.each {
        result << action(it)
    }
    result
}
String describe(Person p) {                                       (2)
    "$p.name is $p.age"
}
def action = this.&describe                                       (3)
def list = [
    new Person(name: 'Bob',   age: 42),
    new Person(name: 'Julia', age: 35)]                           (4)
assert transform(list, action) == ['Bob is 42', 'Julia is 35']    (5)
1 the transform method takes each element of the list and calls the action closure on them, returning a new list
2 we define a function that takes a Person and returns a String
3 we create a method pointer on that function
4 we create the list of elements we want to collect the descriptors
5 the method pointer can be used where a Closure was expected

Method pointers are bound by the receiver and a method name. Arguments are resolved at runtime, meaning that if you have multiple methods with the same name, the syntax is not different, only resolution of the appropriate method to be called will be done at runtime:

def doSomething(String str) { str.toUpperCase() }    (1)
def doSomething(Integer x) { 2*x }                   (2)
def reference = this.&doSomething                    (3)
assert reference('foo') == 'FOO'                     (4)
assert reference(123)   == 246                       (5)
1 define an overloaded doSomething method accepting a String as an argument
2 define an overloaded doSomething method accepting an Integer as an argument
3 create a single method pointer on doSomething, without specifying argument types
4 using the method pointer with a String calls the String version of doSomething
5 using the method pointer with an Integer calls the Integer version of doSomething

7. Regular expression operators

7.1. Pattern operator

The pattern operator (~) provides a simple way to create a java.util.regex.Pattern instance:

def p = ~/foo/
assert p instanceof Pattern

while in general, you find the pattern operator with an expression in a slashy-string, it can be used with any kind of String in Groovy:

p = ~'foo'                                                        (1)
p = ~"foo"                                                        (2)
p = ~$/dollar/slashy $ string/$                                   (3)
p = ~"${pattern}"                                                 (4)
1 using single quote strings
2 using double quotes strings
3 the dollar-slashy string lets you use slashes and the dollar sign without having to escape them
4 you can also use a GString!

7.2. Find operator

Alternatively to building a pattern, you can directly use the find operator =~ to build a java.util.regex.Matcher instance:

def text = "some text to match"
def m = text =~ /match/                                           (1)
assert m instanceof Matcher                                       (2)
if (!m) {                                                         (3)
    throw new RuntimeException("Oops, text not found!")
}
1 =~ creates a matcher against the text variable, using the pattern on the right hand side
2 the return type of =~ is a Matcher
3 equivalent to calling if (!m.find())

Since a Matcher coerces to a boolean by calling its find method, the =~ operator is consistent with the simple use of Perl’s =~ operator, when it appears as a predicate (in if, while, etc.).

7.3. Match operator

The match operator (==~) is a slight variation of the find operator, that does not return a Matcher but a boolean and requires a strict match of the input string:

m = text ==~ /match/                                              (1)
assert m instanceof Boolean                                       (2)
if (m) {                                                          (3)
    throw new RuntimeException("Should not reach that point!")
}
1 ==~ matches the subject with the regular expression, but match must be strict
2 the return type of ==~ is therefore a boolean
3 equivalent to calling if (text ==~ /match/)

8. Other operators

8.1. Spread operator

The Spread-dot Operator (*.), often abbreviated to just Spread Operator, is used to invoke an action on all items of an aggregate object. It is equivalent to calling the action on each item and collecting the result into a list:

class Car {
    String make
    String model
}
def cars = [
       new Car(make: 'Peugeot', model: '508'),
       new Car(make: 'Renault', model: 'Clio')]       (1)
def makes = cars*.make                                (2)
assert makes == ['Peugeot', 'Renault']                (3)
1 build a list of Car items. The list is an aggregate of objects.
2 call the spread operator on the list, accessing the make property of each item
3 returns a list of strings corresponding to the collection of make items

The expression cars*.make is equivalent to cars.collect{ it.make }. Groovy’s GPath notation allows a short-cut when the referenced property isn’t a property of the containing list, in that case it is automatically spread. In the previously mentioned case, the expression cars.make can be used, though retaining the explicit spread-dot operator is often recommended.

The spread operator is null-safe, meaning that if an element of the collection is null, it will return null instead of throwing a NullPointerException:

cars = [
   new Car(make: 'Peugeot', model: '508'),
   null,                                              (1)
   new Car(make: 'Renault', model: 'Clio')]
assert cars*.make == ['Peugeot', null, 'Renault']     (2)
assert null*.make == null                             (3)
1 build a list for which of of the elements is null
2 using the spread operator will not throw a NullPointerException
3 the receiver might also be null, in which case the return value is null

The spread operator can be used on any class which implements the Iterable interface:

class Component {
    Long id
    String name
}
class CompositeObject implements Iterable<Component> {
    def components = [
        new Component(id: 1, name: 'Foo'),
        new Component(id: 2, name: 'Bar')]

    @Override
    Iterator<Component> iterator() {
        components.iterator()
    }
}
def composite = new CompositeObject()
assert composite*.id == [1,2]
assert composite*.name == ['Foo','Bar']

Use multiple invocations of the spread-dot operator (here cars*.models*.name) when working with aggregates of data structures which themselves contain aggregates:

class Make {
    String name
    List<Model> models
}

@Canonical
class Model {
    String name
}

def cars = [
    new Make(name: 'Peugeot',
             models: [new Model('408'), new Model('508')]),
    new Make(name: 'Renault',
             models: [new Model('Clio'), new Model('Captur')])
]

def makes = cars*.name
assert makes == ['Peugeot', 'Renault']

def models = cars*.models*.name
assert models == [['408', '508'], ['Clio', 'Captur']]
assert models.sum() == ['408', '508', 'Clio', 'Captur'] // flatten one level
assert models.flatten() == ['408', '508', 'Clio', 'Captur'] // flatten all levels (one in this case)

Consider using the collectNested DGM method instead of the spread-dot operator for collections of collections:

class Car {
    String make
    String model
}
def cars = [
   [
       new Car(make: 'Peugeot', model: '408'),
       new Car(make: 'Peugeot', model: '508')
   ], [
       new Car(make: 'Renault', model: 'Clio'),
       new Car(make: 'Renault', model: 'Captur')
   ]
]
def models = cars.collectNested{ it.model }
assert models == [['408', '508'], ['Clio', 'Captur']]

8.1.1. Spreading method arguments

There may be situations when the arguments of a method call can be found in a list that you need to adapt to the method arguments. In such situations, you can use the spread operator to call the method. For example, imagine you have the following method signature:

int function(int x, int y, int z) {
    x*y+z
}

then if you have the following list:

def args = [4,5,6]

you can call the method without having to define intermediate variables:

assert function(*args) == 26

It is even possible to mix normal arguments with spread ones:

args = [4]
assert function(*args,5,6) == 26

8.1.2. Spread list elements

When used inside a list literal, the spread operator acts as if the spread element contents were inlined into the list:

def items = [4,5]                      (1)
def list = [1,2,3,*items,6]            (2)
assert list == [1,2,3,4,5,6]           (3)
1 items is a list
2 we want to insert the contents of the items list directly into list without having to call addAll
3 the contents of items has been inlined into list

8.1.3. Spread map elements

The spread map operator works in a similar manner as the spread list operator, but for maps. It allows you to inline the contents of a map into another map literal, like in the following example:

def m1 = [c:3, d:4]                   (1)
def map = [a:1, b:2, *:m1]            (2)
assert map == [a:1, b:2, c:3, d:4]    (3)
1 m1 is the map that we want to inline
2 we use the *:m1 notation to spread the contents of m1 into map
3 map contains all the elements of m1

The position of the spread map operator is relevant, like illustrated in the following example:

def m1 = [c:3, d:4]                   (1)
def map = [a:1, b:2, *:m1, d: 8]      (2)
assert map == [a:1, b:2, c:3, d:8]    (3)
1 m1 is the map that we want to inline
2 we use the *:m1 notation to spread the contents of m1 into map, but redefine the key d after spreading
3 map contains all the expected keys, but d was redefined

8.2. Range operator

Groovy supports the concept of ranges and provides a notation (..) to create ranges of objects:

def range = 0..5                                    (1)
assert (0..5).collect() == [0, 1, 2, 3, 4, 5]       (2)
assert (0..<5).collect() == [0, 1, 2, 3, 4]         (3)
assert (0..5) instanceof List                       (4)
assert (0..5).size() == 6                           (5)
1 a simple range of integers, stored into a local variable
2 an IntRange, with inclusive bounds
3 an IntRange, with exclusive upper bound
4 a groovy.lang.Range implements the List interface
5 meaning that you can call the size method on it

Ranges implementation is lightweight, meaning that only the lower and upper bounds are stored. You can create a range from any Comparable object that has next() and previous() methods to determine the next / previous item in the range. For example, you can create a range of characters this way:

assert ('a'..'d').collect() == ['a','b','c','d']

8.3. Spaceship operator

The spaceship operator (<=>) delegates to the compareTo method:

assert (1 <=> 1) == 0
assert (1 <=> 2) == -1
assert (2 <=> 1) == 1
assert ('a' <=> 'z') == -1

8.4. Subscript operator

The subscript operator is a short hand notation for getAt or putAt, depending on whether you find it on the left hand side or the right hand side of an assignment:

def list = [0,1,2,3,4]
assert list[2] == 2                         (1)
list[2] = 4                                 (2)
assert list[0..2] == [0,1,4]                (3)
list[0..2] = [6,6,6]                        (4)
assert list == [6,6,6,3,4]                  (5)
1 [2] can be used instead of getAt(2)
2 if on left hand side of an assignment, will call putAt
3 getAt also supports ranges
4 so does putAt
5 the list is mutated

The subscript operator, in combination with a custom implementation of getAt/putAt is a convenient way for destructuring objects:

class User {
    Long id
    String name
    def getAt(int i) {                                             (1)
        switch (i) {
            case 0: return id
            case 1: return name
        }
        throw new IllegalArgumentException("No such element $i")
    }
    void putAt(int i, def value) {                                 (2)
        switch (i) {
            case 0: id = value; return
            case 1: name = value; return
        }
        throw new IllegalArgumentException("No such element $i")
    }
}
def user = new User(id: 1, name: 'Alex')                           (3)
assert user[0] == 1                                                (4)
assert user[1] == 'Alex'                                           (5)
user[1] = 'Bob'                                                    (6)
assert user.name == 'Bob'                                          (7)
1 the User class defines a custom getAt implementation
2 the User class defines a custom putAt implementation
3 create a sample user
4 using the subscript operator with index 0 allows retrieving the user id
5 using the subscript operator with index 1 allows retrieving the user name
6 we can use the subscript operator to write to a property thanks to the delegation to putAt
7 and check that it’s really the property name which was changed

8.5. Membership operator

The membership operator (in) is equivalent to calling the isCase method. In the context of a List, it is equivalent to calling contains, like in the following example:

def list = ['Grace','Rob','Emmy']
assert ('Emmy' in list)                     (1)
1 equivalent to calling list.contains('Emmy') or list.isCase('Emmy')

8.6. Identity operator

In Groovy, using == to test equality is different from using the same operator in Java. In Groovy, it is calling equals. If you want to compare reference equality, you should use is like in the following example:

def list1 = ['Groovy 1.8','Groovy 2.0','Groovy 2.3']        (1)
def list2 = ['Groovy 1.8','Groovy 2.0','Groovy 2.3']        (2)
assert list1 == list2                                       (3)
assert !list1.is(list2)                                     (4)
1 Create a list of strings
2 Create another list of strings containing the same elements
3 using ==, we test object equality
4 but using is, we can check that references are distinct

8.7. Coercion operator

The coercion operator (as) is a variant of casting. Coercion converts object from one type to another without them being compatible for assignment. Let’s take an example:

Integer x = 123
String s = (String) x                                   (1)
1 Integer is not assignable to a String, so it will produce a ClassCastException at runtime

This can be fixed by using coercion instead:

Integer x = 123
String s = x as String                                  (1)
1 Integer is not assignable to a String, but use of as will coerce it to a String

When an object is coerced into another, unless the target type is the same as the source type, coercion will return a new object. The rules of coercion differ depending on the source and target types, and coercion may fail if no conversion rules are found. Custom conversion rules may be implemented thanks to the asType method:

class Identifiable {
    String name
}
class User {
    Long id
    String name
    def asType(Class target) {                                              (1)
        if (target == Identifiable) {
            return new Identifiable(name: name)
        }
        throw new ClassCastException("User cannot be coerced into $target")
    }
}
def u = new User(name: 'Xavier')                                            (2)
def p = u as Identifiable                                                   (3)
assert p instanceof Identifiable                                            (4)
assert !(p instanceof User)                                                 (5)
1 the User class defines a custom conversion rule from User to Identifiable
2 we create an instance of User
3 we coerce the User instance into an Identifiable
4 the target is an instance of Identifiable
5 the target is not an instance of User anymore

8.8. Diamond operator

The diamond operator (<>) is a syntactic sugar only operator added to support compatibility with the operator of the same name in Java 7. It is used to indicate that generic types should be inferred from the declaration:

List<String> strings = new LinkedList<>()

In dynamic Groovy, this is totally unused. In statically type checked Groovy, it is also optional since the Groovy type checker performs type inference whether this operator is present or not.

8.9. Call operator

The call operator () is used to call a method named call implicitly. For any object which defines a call method, you can omit the .call part and use the call operator instead:

class MyCallable {
    int call(int x) {           (1)
        2*x
    }
}

def mc = new MyCallable()
assert mc.call(2) == 4          (2)
assert mc(2) == 4               (3)
1 MyCallable defines a method named call. Note that it doesn’t need to implement java.util.concurrent.Callable
2 we can call the method using the classic method call syntax
3 or we can omit .call thanks to the call operator

9. Operator precedence

The table below lists all groovy operators in order of precedence.

Level Operator(s) Name(s)

1

new   ()

object creation, explicit parentheses

()   {}   []

method call, closure, literal list/map

.   .&   .@

member access, method closure, field/attribute access

?.   *   *.   *:

safe dereferencing, spread, spread-dot, spread-map

~   !   (type)

bitwise negate/pattern, not, typecast

[]   ++   --

list/map/array index, post inc/decrement

2

**

power

3

++   --   +   -

pre inc/decrement, unary plus, unary minus

4

*   /   %

multiply, div, remainder

5

+   -

addition, subtraction

6

<<   >>   >>>   ..   ..<

left/right (unsigned) shift, inclusive/exclusive range

7

<   <=   >   >=   in   instanceof   as

less/greater than/or equal, in, instanceof, type coercion

8

==   !=   <=>

equals, not equals, compare to

=~   ==~

regex find, regex match

9

&

binary/bitwise and

10

^

binary/bitwise xor

11

|

binary/bitwise or

12

&&

logical and

13

||

logical or

14

? :

ternary conditional

?:

elvis operator

15

=   **=   *=   /=   %=   +=   -=  
<<=   >>=   >>>=   &=   ^=   |=

various assignments

10. Operator overloading

Groovy allows you to overload the various operators so that they can be used with your own classes. Consider this simple class:

class Bucket {
    int size

    Bucket(int size) { this.size = size }

    Bucket plus(Bucket other) {                     (1)
        return new Bucket(this.size + other.size)
    }
}
1 Bucket implements a special method called plus()

Just by implementing the plus() method, the Bucket class can now be used with the + operator like so:

def b1 = new Bucket(4)
def b2 = new Bucket(11)
assert (b1 + b2).size == 15                         (1)
1 The two Bucket objects can be added together with the + operator

All (non-comparator) Groovy operators have a corresponding method that you can implement in your own classes. The only requirements are that your method is public, has the correct name, and has the correct number of arguments. The argument types depend on what types you want to support on the right hand side of the operator. For example, you could support the statement

assert (b1 + 11).size == 15

by implementing the plus() method with this signature:

Bucket plus(int capacity) {
    return new Bucket(this.size + capacity)
}

Here is a complete list of the operators and their corresponding methods:

Operator Method Operator Method

+

a.plus(b)

a[b]

a.getAt(b)

-

a.minus(b)

a[b] = c

a.putAt(b, c)

*

a.multiply(b)

a in b

b.isCase(a)

/

a.div(b)

<<

a.leftShift(b)

%

a.mod(b)

>>

a.rightShift(b)

**

a.power(b)

>>>

a.rightShiftUnsigned(b)

|

a.or(b)

++

a.next()

&

a.and(b)

--

a.previous()

^

a.xor(b)

+a

a.positive()

as

a.asType(b)

-a

a.negative()

a()

a.call()

~a

a.bitwiseNegate()