Packages

  • package root
    Definition Classes
    root
  • package org
    Definition Classes
    root
  • package opalj

    OPAL is a Scala-based framework for the static analysis, manipulation and creation of Java bytecode.

    OPAL is a Scala-based framework for the static analysis, manipulation and creation of Java bytecode. OPAL is designed with performance, scalability and adaptability in mind.

    Its main components are:

    • a library (Common) which provides generally useful data-structures and algorithms for static analyses.
    • a framework for implementing lattice based static analyses (Static Analysis Infrastructure)
    • a framework for parsing Java bytecode (Bytecode Infrastructure) that can be used to create arbitrary representations.
    • a library to create a one-to-one in-memory representation of Java bytecode (Bytecode Disassembler).
    • a library to create a representation of Java bytecode that facilitates writing simple static analyses (Bytecode Representation - org.opalj.br).
    • a scalable, easily customizable framework for the abstract interpretation of Java bytecode (Abstract Interpretation Framework - org.opalj.ai).
    • a library to extract dependencies between code elements and to facilitate checking architecture definitions.
    • a library for the lightweight manipulation and creation of Java bytecode (Bytecode Assembler).

    General Design Decisions

    Thread Safety

    Unless explicitly noted, OPAL is thread safe. I.e., the classes defined by OPAL can be considered to be thread safe unless otherwise stated. (For example, it is possible to read and process class files concurrently without explicit synchronization on the client side.)

    No null Values

    Unless explicitly noted, OPAL does not null values I.e., fields that are accessible will never contain null values and methods will never return null. If a method accepts null as a value for a parameter or returns a null value it is always explicitly documented. In general, the behavior of methods that are passed null values is undefined unless explicitly documented.

    No Typecasts for Collections

    For efficiency reasons, OPAL sometimes uses mutable data-structures internally. After construction time, these data-structures are generally represented using their generic interfaces (e.g., scala.collection.{Set,Map}). However, a downcast (e.g., to add/remove elements) is always forbidden as it would effectively prevent thread-safety.

    Assertions

    OPAL makes heavy use of Scala's Assertion Facility to facilitate writing correct code. Hence, for production builds (after thorough testing(!)) it is highly recommend to build OPAL again using -Xdisable-assertions.

    Definition Classes
    org
  • package collection

    OPAL's collection library is primarily designed with high performance in mind.

    Design Goals

    OPAL's collection library is primarily designed with high performance in mind. I.e., all methods provided by the collection library are reasonably optimized. However, providing a very large number of methods is a non-goal. Overall, OPAL's collection library provides:

    • collection classes that are manually specialized for primitive data-types.
    • collection classes that are optimized for particularly small collections of values.
    • collection classes that target special use cases such as using a collection as a workset/worklist.
    • collection classes that offer special methods that minimize the number of steps when compared to general purpose methods.

    Integration With Scala's Collection Library

    Hence, OPAL's collection library complements Scala's default collection library and is not intended to replace it. Integration with Scala's collection library is primarily provided by means of iterators (OPAL's Iterators inherit from Scala's Iterators). Furthermore the companion object of each of OPAL's collection classes generally provides factory methods that facilitate the conversion from Scala collection classes to OPAL collection classes.

    Status

    The collection library is growing. Nevertheless, the existing classes are production ready.

    Definition Classes
    opalj
  • package mutable
    Definition Classes
    collection
  • ArrayMap
  • FixedSizeBitSet
  • FixedSizedHashIDMap
  • IntAppendChain
  • IntArrayStack
  • IntQueue
  • RefAccumulator
  • RefAppendChain
  • RefArrayBuffer
  • RefArrayStack

class ArrayMap[T >: Null <: AnyRef] extends AnyRef

Conceptually, a map where the (implicit) keys are positive Int values and the values are non-null; null values are not permitted! The key values always have to be larger than or equal to 0 and are ideally continues (0,1,2,3,...). The values are stored in a plain array to enable true O(1) retrieval. Furthermore, the array is only as large as it has to be to keep the value associated with the largest key.

Self Type
ArrayMap[T]
Note

This data structure is not thread safe.

Linear Supertypes
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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def apply(key: Int): T

    Returns the value stored for the given key or null instead.

    Returns the value stored for the given key or null instead.

    Annotations
    @throws( "if the key is negative" )
    Note

    If the key is not valid the result is not defined.

  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clear(): Unit

    Clears, but does not resize/shrink the map.

  7. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  8. def entries: Iterator[(Int, T)]
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. def equals(other: Any): Boolean
    Definition Classes
    ArrayMap → AnyRef → Any
  11. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. def forall(f: (T) ⇒ Boolean): Boolean
  13. def foreach(f: (Int, T) ⇒ Unit): Unit
  14. def foreachValue(f: (T) ⇒ Unit): Unit
  15. def get(key: Int): Option[T]
  16. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  17. def getOrElse(key: Int, f: ⇒ T): T
  18. def getOrElseUpdate(key: Int, f: ⇒ T): T
  19. def hashCode(): Int
    Definition Classes
    ArrayMap → AnyRef → Any
  20. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  21. def map[X](f: (Int, T) ⇒ X): List[X]
  22. def mkString(start: String, sep: String, end: String): String
  23. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  24. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  25. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  26. def remove(key: Int): Unit
  27. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  28. def toString(): String
    Definition Classes
    ArrayMap → AnyRef → Any
  29. final def update(key: Int, value: T): Unit

    Sets the value for the given key to the given value.

    Sets the value for the given key to the given value. If the key cannot be stored in the currently used array, the underlying array is immediately resized to make it possible to store the new value.

    Annotations
    @throws( "if the key is negative" )
  30. def valuesIterator: Iterator[T]
  31. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )

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