---
title: Implicits
layout: default
chapter: 7
---

# Implicits

## The Implicit Modifier

```ebnf
LocalModifier  ::= ‘implicit’
ParamClauses   ::= {ParamClause} [nl] ‘(’ ‘implicit’ Params ‘)’
```

Template members and parameters labeled with an `implicit`
modifier can be passed to [implicit parameters](#implicit-parameters)
and can be used as implicit conversions called [views](#views).
The `implicit` modifier is illegal for all
type members, as well as for [top-level objects](09-top-level-definitions.html#packagings).

###### Example Monoid

The following code defines an abstract class of monoids and
two concrete implementations, `StringMonoid` and
`IntMonoid`. The two implementations are marked implicit.

```scala
abstract class Monoid[A] extends SemiGroup[A] {
  def unit: A
  def add(x: A, y: A): A
}
object Monoids {
  implicit object stringMonoid extends Monoid[String] {
    def add(x: String, y: String): String = x.concat(y)
    def unit: String = ""
  }
  implicit object intMonoid extends Monoid[Int] {
    def add(x: Int, y: Int): Int = x + y
    def unit: Int = 0
  }
}
```

## Implicit Parameters

An implicit parameter list
`(implicit $p_1$,$\ldots$,$p_n$)` of a method marks the parameters $p_1 , \ldots , p_n$ as
implicit. A method or constructor can have only one implicit parameter
list, and it must be the last parameter list given.

A method with implicit parameters can be applied to arguments just
like a normal method. In this case the `implicit` label has no
effect. However, if such a method misses arguments for its implicit
parameters, such arguments will be automatically provided.

The actual arguments that are eligible to be passed to an implicit
parameter of type $T$ fall into two categories. First, eligible are
all identifiers $x$ that can be accessed at the point of the method
call without a prefix and that denote an
[implicit definition](#the-implicit-modifier)
or an implicit parameter.  An eligible
identifier may thus be a local name, or a member of an enclosing
template, or it may be have been made accessible without a prefix
through an [import clause](04-basic-declarations-and-definitions.html#import-clauses). If there are no eligible
identifiers under this rule, then, second, eligible are also all
`implicit` members of some object that belongs to the implicit
scope of the implicit parameter's type, $T$.

The _implicit scope_ of a type $T$ consists of all [companion modules](05-classes-and-objects.html#object-definitions) of classes that are associated with the implicit parameter's type.
Here, we say a class $C$ is _associated_ with a type $T$ if it is a [base class](05-classes-and-objects.html#class-linearization) of some part of $T$.

The _parts_ of a type $T$ are:

- if $T$ is a compound type `$T_1$ with $\ldots$ with $T_n$`,
  the union of the parts of $T_1 , \ldots , T_n$, as well as $T$ itself;
- if $T$ is a parameterized type `$S$[$T_1 , \ldots , T_n$]`,
  the union of the parts of $S$ and $T_1 , \ldots , T_n$;
- if $T$ is a singleton type `$p$.type`,
  the parts of the type of $p$;
- if $T$ is a type projection `$S$#$U$`,
  the parts of $S$ as well as $T$ itself;
- if $T$ is a type alias, the parts of its expansion;
- if $T$ is an abstract type, the parts of its upper bound;
- if $T$ denotes an implicit conversion to a type with a method with argument types $T_1 , \ldots , T_n$ and result type $U$,
  the union of the parts of $T_1 , \ldots , T_n$ and $U$;
- the parts of quantified (existential or universal) and annotated types are defined as the parts of the underlying types (e.g., the parts of `T forSome { ... }` are the parts of `T`);
- in all other cases, just $T$ itself.

Note that packages are internally represented as classes with companion modules to hold the package members.
Thus, implicits defined in a package object are part of the implicit scope of a type prefixed by that package.

If there are several eligible arguments which match the implicit
parameter's type, a most specific one will be chosen using the rules
of static [overloading resolution](06-expressions.html#overloading-resolution).
If the parameter has a default argument and no implicit argument can
be found the default argument is used.

###### Example
Assuming the classes from the [`Monoid` example](#example-monoid), here is a
method which computes the sum of a list of elements using the
monoid's `add` and `unit` operations.

```scala
def sum[A](xs: List[A])(implicit m: Monoid[A]): A =
  if (xs.isEmpty) m.unit
  else m.add(xs.head, sum(xs.tail))
```

The monoid in question is marked as an implicit parameter, and can therefore
be inferred based on the type of the list.
Consider for instance the call `sum(List(1, 2, 3))`
in a context where `stringMonoid` and `intMonoid`
are visible.  We know that the formal type parameter `a` of
`sum` needs to be instantiated to `Int`. The only
eligible object which matches the implicit formal parameter type
`Monoid[Int]` is `intMonoid` so this object will
be passed as implicit parameter.

This discussion also shows that implicit parameters are inferred after
any type arguments are [inferred](06-expressions.html#local-type-inference).

Implicit methods can themselves have implicit parameters. An example
is the following method from module `scala.List`, which injects
lists into the `scala.Ordered` class, provided the element
type of the list is also convertible to this type.

```scala
implicit def list2ordered[A](x: List[A])
  (implicit elem2ordered: A => Ordered[A]): Ordered[List[A]] =
  ...
```

Assume in addition a method

```scala
implicit def int2ordered(x: Int): Ordered[Int]
```

that injects integers into the `Ordered` class.  We can now
define a `sort` method over ordered lists:

```scala
def sort[A](xs: List[A])(implicit a2ordered: A => Ordered[A]) = ...
```

We can apply `sort` to a list of lists of integers
`yss: List[List[Int]]`
as follows:

```scala
sort(yss)
```

The call above will be completed by passing two nested implicit arguments:

```scala
sort(yss)(xs: List[Int] => list2ordered[Int](xs)(int2ordered)) .
```

The possibility of passing implicit arguments to implicit arguments
raises the possibility of an infinite recursion.  For instance, one
might try to define the following method, which injects _every_ type into the
`Ordered` class:

```scala
implicit def magic[A](x: A)(implicit a2ordered: A => Ordered[A]): Ordered[A] =
  a2ordered(x)
```

Now, if one tried to apply
`sort` to an argument `arg` of a type that did not have
another injection into the `Ordered` class, one would obtain an infinite
expansion:

```scala
sort(arg)(x => magic(x)(x => magic(x)(x => ... )))
```

To prevent such infinite expansions, the compiler keeps track of
a stack of “open implicit types” for which implicit arguments are currently being
searched. Whenever an implicit argument for type $T$ is searched, the
“core type” of $T$ is added to the stack. Here, the _core type_
of $T$ is $T$ with aliases expanded, top-level type [annotations](11-annotations.html#user-defined-annotations) and
[refinements](03-types.html#compound-types) removed, and occurrences
of top-level existentially bound variables replaced by their upper
bounds. The core type is removed from the stack once the search for
the implicit argument either definitely fails or succeeds. Everytime a
core type is added to the stack, it is checked that this type does not
dominate any of the other types in the set.

Here, a core type $T$ _dominates_ a type $U$ if $T$ is
[equivalent](03-types.html#equivalence)
to $U$, or if the top-level type constructors of $T$ and $U$ have a
common element and $T$ is more complex than $U$.

The set of _top-level type constructors_ $\mathit{ttcs}(T)$ of a type $T$ depends on the form of
the type:

- For a type designator,  $\mathit{ttcs}(p.c) ~=~ \{c\}$;
- For a parameterized type,  $\mathit{ttcs}(p.c[\mathit{targs}]) ~=~ \{c\}$;
- For a singleton type,  $\mathit{ttcs}(p.type) ~=~ \mathit{ttcs}(T)$, provided $p$ has type $T$;
- For a compound type, `$\mathit{ttcs}(T_1$ with $\ldots$ with $T_n)$` $~=~ \mathit{ttcs}(T_1) \cup \ldots \cup \mathit{ttcs}(T_n)$.

The _complexity_ $\operatorname{complexity}(T)$ of a core type is an integer which also depends on the form of
the type:

- For a type designator, $\operatorname{complexity}(p.c) ~=~ 1 + \operatorname{complexity}(p)$
- For a parameterized type, $\operatorname{complexity}(p.c[\mathit{targs}]) ~=~ 1 + \Sigma \operatorname{complexity}(\mathit{targs})$
- For a singleton type denoting a package $p$, $\operatorname{complexity}(p.type) ~=~ 0$
- For any other singleton type, $\operatorname{complexity}(p.type) ~=~ 1 + \operatorname{complexity}(T)$, provided $p$ has type $T$;
- For a compound type, `$\operatorname{complexity}(T_1$ with $\ldots$ with $T_n)$` $= \Sigma\operatorname{complexity}(T_i)$

###### Example
When typing `sort(xs)` for some list `xs` of type `List[List[List[Int]]]`,
the sequence of types for
which implicit arguments are searched is

```scala
List[List[Int]] => Ordered[List[List[Int]]],
List[Int] => Ordered[List[Int]]
Int => Ordered[Int]
```

All types share the common type constructor `scala.Function1`,
but the complexity of the each new type is lower than the complexity of the previous types.
Hence, the code typechecks.

###### Example
Let `ys` be a list of some type which cannot be converted
to `Ordered`. For instance:

```scala
val ys = List(new IllegalArgumentException, new ClassCastException, new Error)
```

Assume that the definition of `magic` above is in scope. Then the sequence
of types for which implicit arguments are searched is

```scala
Throwable => Ordered[Throwable],
Throwable => Ordered[Throwable],
...
```

Since the second type in the sequence is equal to the first, the compiler
will issue an error signalling a divergent implicit expansion.

## Views

Implicit parameters and methods can also define implicit conversions
called views. A _view_ from type $S$ to type $T$ is
defined by an implicit value which has function type
`$S$=>$T$` or `(=>$S$)=>$T$` or by a method convertible to a value of that
type.

Views are applied in three situations:

1.  If an expression $e$ is of type $T$, and $T$ does not conform to the
    expression's expected type $\mathit{pt}$. In this case an implicit $v$ is
    searched which is applicable to $e$ and whose result type conforms to
    $\mathit{pt}$.  The search proceeds as in the case of implicit parameters,
    where the implicit scope is the one of `$T$ => $\mathit{pt}$`. If
    such a view is found, the expression $e$ is converted to
    `$v$($e$)`.
1.  In a selection $e.m$ with $e$ of type $T$, if the selector $m$ does
    not denote an accessible member of $T$.  In this case, a view $v$ is searched
    which is applicable to $e$ and whose result contains a member named
    $m$.  The search proceeds as in the case of implicit parameters, where
    the implicit scope is the one of $T$.  If such a view is found, the
    selection $e.m$ is converted to `$v$($e$).$m$`.
1.  In a selection $e.m(\mathit{args})$ with $e$ of type $T$, if the selector
    $m$ denotes some member(s) of $T$, but none of these members is applicable to the arguments
    $\mathit{args}$. In this case a view $v$ is searched which is applicable to $e$
    and whose result contains a method $m$ which is applicable to $\mathit{args}$.
    The search proceeds as in the case of implicit parameters, where
    the implicit scope is the one of $T$.  If such a view is found, the
    selection $e.m$ is converted to `$v$($e$).$m(\mathit{args})$`.

The implicit view, if it is found, can accept is argument $e$ as a
call-by-value or as a call-by-name parameter. However, call-by-value
implicits take precedence over call-by-name implicits.

As for implicit parameters, overloading resolution is applied
if there are several possible candidates (of either the call-by-value
or the call-by-name category).

###### Example Ordered

Class `scala.Ordered[A]` contains a method

```scala
  def <= [B >: A](that: B)(implicit b2ordered: B => Ordered[B]): Boolean .
```

Assume two lists `xs` and `ys` of type `List[Int]`
and assume that the `list2ordered` and `int2ordered`
methods defined [here](#implicit-parameters) are in scope.
Then the operation

```scala
  xs <= ys
```

is legal, and is expanded to:

```scala
  list2ordered(xs)(int2ordered).<=
    (ys)
    (xs => list2ordered(xs)(int2ordered))
```

The first application of `list2ordered` converts the list
`xs` to an instance of class `Ordered`, whereas the second
occurrence is part of an implicit parameter passed to the `<=`
method.

## Context Bounds and View Bounds

```ebnf
  TypeParam ::= (id | ‘_’) [TypeParamClause] [‘>:’ Type] [‘<:’ Type]
                {‘<%’ Type} {‘:’ Type}
```

A type parameter $A$ of a method or non-trait class may have one or more view
bounds `$A$ <% $T$`. In this case the type parameter may be
instantiated to any type $S$ which is convertible by application of a
view to the bound $T$.

A type parameter $A$ of a method or non-trait class may also have one
or more context bounds `$A$ : $T$`. In this case the type parameter may be
instantiated to any type $S$ for which _evidence_ exists at the
instantiation point that $S$ satisfies the bound $T$. Such evidence
consists of an implicit value with type $T[S]$.

A method or class containing type parameters with view or context bounds is treated as being
equivalent to a method with implicit parameters. Consider first the case of a
single parameter with view and/or context bounds such as:

```scala
def $f$[$A$ <% $T_1$ ... <% $T_m$ : $U_1$ : $U_n$]($\mathit{ps}$): $R$ = ...
```

Then the method definition above is expanded to

```scala
def $f$[$A$]($\mathit{ps}$)(implicit $v_1$: $A$ => $T_1$, ..., $v_m$: $A$ => $T_m$,
                       $w_1$: $U_1$[$A$], ..., $w_n$: $U_n$[$A$]): $R$ = ...
```

where the $v_i$ and $w_j$ are fresh names for the newly introduced implicit parameters. These
parameters are called _evidence parameters_.

If a class or method has several view- or context-bounded type parameters, each
such type parameter is expanded into evidence parameters in the order
they appear and all the resulting evidence parameters are concatenated
in one implicit parameter section.  Since traits do not take
constructor parameters, this translation does not work for them.
Consequently, type-parameters in traits may not be view- or context-bounded.

Evidence parameters are prepended to the existing implicit parameter section, if one exists.

For example:

```scala
def foo[A: M](implicit b: B): C
// expands to:
// def foo[A](implicit evidence$1: M[A], b: B): C
```

###### Example
The `<=` method from the [`Ordered` example](#example-ordered) can be declared
more concisely as follows:

```scala
def <= [B >: A <% Ordered[B]](that: B): Boolean
```

## Manifests

Manifests are type descriptors that can be automatically generated by
the Scala compiler as arguments to implicit parameters. The Scala
standard library contains a hierarchy of four manifest classes,
with `OptManifest`
at the top. Their signatures follow the outline below.

```scala
trait OptManifest[+T]
object NoManifest extends OptManifest[Nothing]
trait ClassManifest[T] extends OptManifest[T]
trait Manifest[T] extends ClassManifest[T]
```

If an implicit parameter of a method or constructor is of a subtype $M[T]$ of
class `OptManifest[T]`, _a manifest is determined for $M[S]$_,
according to the following rules.

First if there is already an implicit argument that matches $M[T]$, this
argument is selected.

Otherwise, let $\mathit{Mobj}$ be the companion object `scala.reflect.Manifest`
if $M$ is trait `Manifest`, or be
the companion object `scala.reflect.ClassManifest` otherwise. Let $M'$ be the trait
`Manifest` if $M$ is trait `Manifest`, or be the trait `OptManifest` otherwise.
Then the following rules apply.

1.  If $T$ is a value class or one of the classes `Any`, `AnyVal`, `Object`,
    `Null`, or `Nothing`,
    a manifest for it is generated by selecting
    the corresponding manifest value `Manifest.$T$`, which exists in the
    `Manifest` module.
1.  If $T$ is an instance of `Array[$S$]`, a manifest is generated
    with the invocation `$\mathit{Mobj}$.arrayType[S](m)`, where $m$ is the manifest
    determined for $M[S]$.
1.  If $T$ is some other class type $S$#$C[U_1, \ldots, U_n]$ where the prefix
    type $S$ cannot be statically determined from the class $C$,
    a manifest is generated with the invocation `$\mathit{Mobj}$.classType[T]($m_0$, classOf[T], $ms$)`
    where $m_0$ is the manifest determined for $M'[S]$ and $ms$ are the
    manifests determined for $M'[U_1], \ldots, M'[U_n]$.
1.  If $T$ is some other class type with type arguments $U_1 , \ldots , U_n$,
    a manifest is generated
    with the invocation `$\mathit{Mobj}$.classType[T](classOf[T], $ms$)`
    where $ms$ are the
    manifests determined for $M'[U_1] , \ldots , M'[U_n]$.
1.  If $T$ is a singleton type `$p$.type`, a manifest is generated with
    the invocation `$\mathit{Mobj}$.singleType[T]($p$)`
1.  If $T$ is a refined type $T' \{ R \}$, a manifest is generated for $T'$.
    (That is, refinements are never reflected in manifests).
1.  If $T$ is an intersection type
    `$T_1$ with $, \ldots ,$ with $T_n$`
    where $n > 1$, the result depends on whether a full manifest is
    to be determined or not.
    If $M$ is trait `Manifest`, then
    a manifest is generated with the invocation
    `Manifest.intersectionType[T]($ms$)` where $ms$ are the manifests
    determined for $M[T_1] , \ldots , M[T_n]$.
    Otherwise, if $M$ is trait `ClassManifest`,
    then a manifest is generated for the [intersection dominator](03-types.html#type-erasure)
    of the types $T_1 , \ldots , T_n$.
1.  If $T$ is some other type, then if $M$ is trait `OptManifest`,
    a manifest is generated from the designator `scala.reflect.NoManifest`.
    If $M$ is a type different from `OptManifest`, a static error results.