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/*
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* Scala (https://www.scala-lang.org)
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*
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* Copyright EPFL and Lightbend, Inc.
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*
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* Licensed under Apache License 2.0
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* (http://www.apache.org/licenses/LICENSE-2.0).
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*
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* See the NOTICE file distributed with this work for
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* additional information regarding copyright ownership.
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*/
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package scala
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/**
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* The `scala.language` object controls the language features available to the programmer, as proposed in the
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* [[https://docs.google.com/document/d/1nlkvpoIRkx7at1qJEZafJwthZ3GeIklTFhqmXMvTX9Q/edit '''SIP-18 document''']].
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*
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* Each of these features has to be explicitly imported into the current scope to become available:
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* {{{
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* import language.postfixOps // or language._
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* List(1, 2, 3) reverse
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* }}}
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*
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* The language features are:
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* - [[dynamics `dynamics`]] enables defining calls rewriting using the [[scala.Dynamic `Dynamic`]] trait
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* - [[existentials `existentials`]] enables writing existential types
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* - [[higherKinds `higherKinds`]] enables writing higher-kinded types
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* - [[implicitConversions `implicitConversions`]] enables defining implicit methods and members
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* - [[postfixOps `postfixOps`]] enables postfix operators (not recommended)
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* - [[reflectiveCalls `reflectiveCalls`]] enables using structural types
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* - [[experimental `experimental`]] contains newer features that have not yet been tested in production
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*
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* @groupname production Language Features
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* @groupname experimental Experimental Language Features
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* @groupprio experimental 10
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*/
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object language {
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import languageFeature._
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/** Only where this feature is enabled, can direct or indirect subclasses of trait scala.Dynamic
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* be defined. If `dynamics` is not enabled, a definition of a class, trait,
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* or object that has `Dynamic` as a base trait is rejected by the compiler.
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*
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* Selections of dynamic members of existing subclasses of trait `Dynamic` are unaffected;
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* they can be used anywhere.
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*
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* '''Why introduce the feature?''' To enable flexible DSLs and convenient interfacing
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* with dynamic languages.
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*
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* '''Why control it?''' Dynamic member selection can undermine static checkability
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* of programs. Furthermore, dynamic member selection often relies on reflection,
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* which is not available on all platforms.
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*
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* @group production
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*/
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implicit lazy val dynamics: dynamics = languageFeature.dynamics
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/** Only where this feature is enabled, is postfix operator notation `(expr op)` permitted.
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* If `postfixOps` is not enabled, an expression using postfix notation is rejected by the compiler.
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*
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* '''Why keep the feature?''' Postfix notation is preserved for backward
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* compatibility only. Historically, several DSLs written in Scala need the notation.
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*
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* '''Why control it?''' Postfix operators interact poorly with semicolon inference.
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* Most programmers avoid them for this reason alone. Postfix syntax is
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* associated with an abuse of infix notation, `a op1 b op2 c op3`,
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* that can be harder to read than ordinary method invocation with judicious
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* use of parentheses. It is recommended not to enable this feature except for
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* legacy code.
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*
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* @group production
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*/
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implicit lazy val postfixOps: postfixOps = languageFeature.postfixOps
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/** Where this feature is enabled, accesses to members of structural types that need
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* reflection are supported. If `reflectiveCalls` is not enabled, an expression
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* requiring reflection will trigger a warning from the compiler.
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*
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* A structural type is a type of the form
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* `Parents { Decls }` where `Decls` contains declarations of new members that do
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* not override any member in `Parents`. To access one of these members, a
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* reflective call is needed.
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*
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* '''Why keep the feature?''' Structural types provide great flexibility because
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* they avoid the need to define inheritance hierarchies a priori. Besides,
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* their definition falls out quite naturally from Scala’s concept of type refinement.
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*
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* '''Why control it?''' Reflection is not available on all platforms. Popular tools
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* such as ProGuard have problems dealing with it. Even where reflection is available,
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* reflective dispatch can lead to surprising performance degradations.
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*
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* @group production
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*/
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implicit lazy val reflectiveCalls: reflectiveCalls = languageFeature.reflectiveCalls
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/** Where this feature is enabled, definitions of implicit conversions are allowed.
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* If `implicitConversions` is not enabled, the definition of an implicit
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* conversion will trigger a warning from the compiler.
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*
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* An implicit conversion is an implicit value of unary function type `A => B`,
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* or an implicit method that has in its first parameter section a single,
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* non-implicit parameter. Examples:
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*
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* {{{
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* implicit def stringToInt(s: String): Int = s.length
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* implicit val conv = (s: String) => s.length
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* implicit def listToX(xs: List[T])(implicit f: T => X): X = ...
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* }}}
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*
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* Implicit classes and implicit values of other types are not governed by this
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* language feature.
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*
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* '''Why keep the feature?''' Implicit conversions are central to many aspects
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* of Scala’s core libraries.
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*
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* '''Why control it?''' Implicit conversions are known to cause many pitfalls
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* if over-used. And there is a tendency to over-use them because they look
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* very powerful and their effects seem to be easy to understand. Also, in
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* most situations using implicit parameters leads to a better design than
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* implicit conversions.
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*
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* @group production
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*/
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implicit lazy val implicitConversions: implicitConversions = languageFeature.implicitConversions
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/** Where this feature is enabled, higher-kinded types can be written.
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* If `higherKinds` is not enabled, a higher-kinded type such as `F[A]`
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* will trigger a warning from the compiler.
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*
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* '''Why keep the feature?''' Higher-kinded types enable the definition of very general
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* abstractions such as functor, monad, or arrow. A significant set of advanced
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* libraries relies on them. Higher-kinded types are also at the core of the
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* scala-virtualized effort to produce high-performance parallel DSLs through staging.
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*
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* '''Why control it?''' Higher kinded types in Scala lead to a Turing-complete
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* type system, where compiler termination is no longer guaranteed. They tend
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* to be useful mostly for type-level computation and for highly generic design
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* patterns. The level of abstraction implied by these design patterns is often
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* a barrier to understanding for newcomers to a Scala codebase. Some syntactic
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* aspects of higher-kinded types are hard to understand for the uninitiated and
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* type inference is less effective for them than for normal types. Because we are
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* not completely happy with them yet, it is possible that some aspects of
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* higher-kinded types will change in future versions of Scala. So an explicit
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* enabling also serves as a warning that code involving higher-kinded types
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* might have to be slightly revised in the future.
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*
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* @group production
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*/
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@deprecated("higherKinds no longer needs to be imported explicitly", "2.13.1")
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implicit lazy val higherKinds: higherKinds = languageFeature.higherKinds
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/** Where this feature is enabled, existential types that cannot be expressed as wildcard
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* types can be written and are allowed in inferred types of values or return
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* types of methods. If `existentials` is not enabled, those cases will trigger
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* a warning from the compiler.
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*
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* Existential types with wildcard type syntax such as `List[_]`,
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* or `Map[String, _]` are not affected.
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*
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* '''Why keep the feature?''' Existential types are needed to make sense of Java’s wildcard
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* types and raw types and the erased types of run-time values.
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*
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* '''Why control it?''' Having complex existential types in a code base usually makes
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* application code very brittle, with a tendency to produce type errors with
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* obscure error messages. Therefore, going overboard with existential types
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* is generally perceived not to be a good idea. Also, complicated existential types
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* might be no longer supported in a future simplification of the language.
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*
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* @group production
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*/
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implicit lazy val existentials: existentials = languageFeature.existentials
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/** The experimental object contains features that are known to have unstable API or
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* behavior that may change in future releases.
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*
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* Experimental features '''may undergo API changes''' in future releases, so production
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* code should not rely on them.
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*
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* Programmers are encouraged to try out experimental features and
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* [[https://github.com/scala/bug/issues report any bugs or API inconsistencies]]
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* they encounter so they can be improved in future releases.
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*
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* @group experimental
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*/
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object experimental {
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import languageFeature.experimental._
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/** Only where this feature is enabled, are macro definitions allowed.
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* If `macros` is not enabled, macro definitions are rejected by the compiler.
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*
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* Macro implementations and macro applications are not governed by this
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* language feature; they can be used anywhere.
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*
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* '''Why introduce the feature?''' Macros promise to make the language more regular,
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* replacing ad-hoc language constructs with a general powerful abstraction
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* capability that can express them. Macros are also a more disciplined and
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* powerful replacement for compiler plugins.
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*
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* '''Why control it?''' For their very power, macros can lead to code that is hard
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* to debug and understand.
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*/
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implicit lazy val macros: macros = languageFeature.experimental.macros
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}
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}

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