Packages

c

scalation.activity

Transition

class Transition extends PQItem with Ordered[Transition] with PetriNetRules with Identifiable

The Transition class represents a timed transition.

Linear Supertypes
PetriNetRules, Ordered[Transition], Comparable[Transition], PQItem, Identifiable, Error, AnyRef, Any
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Inherited
  1. Transition
  2. PetriNetRules
  3. Ordered
  4. Comparable
  5. PQItem
  6. Identifiable
  7. Error
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new Transition(x: Double, y: Double, firingDist: Variate, colors: Array[Color])

    x

    the x-coordinate for 'this' transition

    y

    the y-coordinate for 'this' transition

    firingDist

    the random variate for the firing distribution

    colors

    the colors of the tokens (needed for firing rules)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def <(that: Transition): Boolean
    Definition Classes
    Ordered
  4. def <=(that: Transition): Boolean
    Definition Classes
    Ordered
  5. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  6. def >(that: Transition): Boolean
    Definition Classes
    Ordered
  7. def >=(that: Transition): Boolean
    Definition Classes
    Ordered
  8. val actTime: Double
    Definition Classes
    PQItem
  9. def addFluids(_fluids: VectorD): Unit

    Add fluids to 'this' transition.

    Add fluids to 'this' transition.

    _fluids

    the fluid vector to add

  10. def addTokens(_tokens: VectorI): Unit

    Add tokens to 'this' transition.

  11. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  12. def calcFiringDelay(v: Variate, w_t: VectorD, t: VectorI, w_f: VectorD, f: VectorD): Double

    Function to compute the delay in firing a transition.

    Function to compute the delay in firing a transition. The base time is given by a random variate. This is adjusted by weight vectors multiplying the number of aggregate tokens and the aggregate amount of fluids summed over all input places: delay = v + w_t * t + w_f * f.

    v

    the random variate used to compute base firing time

    w_t

    the weight for the token vector

    t

    the aggregate token vector (summed over all input places)

    w_f

    the weight for the fluid vector

    f

    the aggregate fluid level vector (summed over all input places)

    Definition Classes
    PetriNetRules
  13. def checkGuard: Boolean

    Check the incoming arcs from discrete place for enough tokens of the right colors and the incoming arcs from continuous places for enough fluid of the right colors.

  14. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  15. def compare(tr2: Transition): Int

    Compare 'this' transition to 'tr2' based on firing time.

    Compare 'this' transition to 'tr2' based on firing time.

    tr2

    the other transition

    Definition Classes
    Transition → Ordered
  16. def compare(other: PQItem): Int
    Definition Classes
    PQItem
  17. def compareTo(that: Transition): Int
    Definition Classes
    Ordered → Comparable
  18. def connect(_pnet: PetriNet, _inI: Array[ArcI], _inD: Array[ArcD], _outI: Array[ArcI], _outD: Array[ArcD]): Unit

    Connect 'this' transition to all the incoming and outgoing arcs as well as the containing Petri net.

    Connect 'this' transition to all the incoming and outgoing arcs as well as the containing Petri net.

    _pnet

    the containing Petri net

    _inI

    the incoming arcs from discrete/Int places

    _inD

    the incoming arcs from continuous/Double places

    _outI

    the outgoing arcs to discrete/Int places

    _outD

    the outgoing arcs to continuous/Double places

  19. def connect(_pnet: PetriNet, _in: Array[ArcD], _out: Array[ArcD]): Unit

    Connect 'this' transition to all the incoming and outgoing continuous arcs as well as the containing Petri net.

    Connect 'this' transition to all the incoming and outgoing continuous arcs as well as the containing Petri net.

    _pnet

    the containing Petri net

    _in

    the incoming arcs from continuous/Double places

    _out

    the outgoing arcs to continuous/Double places

  20. def connect(_pnet: PetriNet, _in: Array[ArcI], _out: Array[ArcI]): Unit

    Connect 'this' transition to all the incoming and outgoing discrete arcs as well as the containing Petri net.

    Connect 'this' transition to all the incoming and outgoing discrete arcs as well as the containing Petri net.

    _pnet

    the containing Petri net

    _in

    the incoming arcs from discrete/Int places

    _out

    the outgoing arcs to discrete/Int places

  21. var cqueue: ConcurrentLinkedQueue[AnimateCommand]

    The animation command queue

  22. def enable(): Double

    Enable 'this' transition by computing the firing delay.

    Enable 'this' transition by computing the firing delay. Should immediately place it on the time ordered firing list. Also, move tokens/fluids from input places to 'this' transition.

  23. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  24. def equals(that: Any): Boolean
    Definition Classes
    Identifiable → AnyRef → Any
  25. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  26. def fire(): Unit

    Fire 'this' transition by moving the requisite number and color of tokens from 'this' transition to each outgoing discrete place and the requisite amount and color of fluid to each outgoing continuous place.

  27. var firingDelay: Double

    The firing delay for 'this' transition

  28. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  29. def fluidFlow(f: VectorD, derv: Array[Derivative], t0: Double, d: Double): VectorD

    Compute the amount of fluid to flow over an arc according to the system of first-order Ordinary Differential Equation 'ODE's: "integral 'derv' from t0 to t".

    Compute the amount of fluid to flow over an arc according to the system of first-order Ordinary Differential Equation 'ODE's: "integral 'derv' from t0 to t". Supports ODE base flow models.

    f

    the fluid vector (amount of fluid per color)

    derv

    the array of derivative functions

    t0

    the current time

    d

    the time delay

    Definition Classes
    PetriNetRules
  30. def fluidFlow(f: VectorD, b: VectorD, r: VectorD = null, d: Double = 0): VectorD

    Compute the amount of fluid to flow over an arc according to the vector expression: b + r * (f-b) * d.

    Compute the amount of fluid to flow over an arc according to the vector expression: b + r * (f-b) * d. If r is 0, returns b. Supports linear (w.r.t. time delay) and constant (d == 0) flow models.

    f

    the fluid vector (amount of fluid per color)

    b

    the constant vector for base fluid flow

    r

    the rate vector (amounts of fluids per unit time)

    d

    the time delay

    Definition Classes
    PetriNetRules
  31. var fluids: VectorD

    Fluid vector for transition

  32. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  33. def hashCode(): Int
    Definition Classes
    Identifiable → AnyRef → Any
  34. val id: Int
    Definition Classes
    Identifiable
  35. var inD: Array[ArcD]

    Arcs incoming from continuous places

  36. var inI: Array[ArcI]

    Arcs incoming from discrete places

  37. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  38. var locked: Boolean

    A transition is locked from the time it is enabled until it fires

  39. def me: String
    Definition Classes
    Identifiable
  40. def name: String
    Definition Classes
    Identifiable
  41. def name_=(name: String): Unit
    Definition Classes
    Identifiable
  42. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  43. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  44. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  45. var outD: Array[ArcD]

    Arcs outgoing to continuous places

  46. var outI: Array[ArcI]

    Arcs outgoing to discrete places

  47. var pnet: PetriNet

    The containing Petri net

  48. def simType: String
    Definition Classes
    Identifiable
  49. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  50. def takeFluids(_fluids: VectorD): Unit

    Take fluids from 'this' transition.

    Take fluids from 'this' transition.

    _fluids

    the fluid vector to take away

  51. def takeTokens(_tokens: VectorI): Unit

    Take tokens from 'this' transition.

  52. def thresholdD(f: VectorD, b: VectorD): Boolean

    Return whether the vector inequality is true: f >= b.

    Return whether the vector inequality is true: f >= b. The firing threshold should be checked for every incoming arc. If all return true, the transition should fire.

    f

    The fluid vector (amount of fluid per color)

    b

    The base constant vector

    Definition Classes
    PetriNetRules
  53. def thresholdI(t: VectorI, b: VectorI): Boolean

    Return whether the vector inequality is true: t >= b.

    Return whether the vector inequality is true: t >= b. The firing threshold should be checked for every incoming arc. If all return true, the transition should fire.

    t

    the token vector (number of tokens per color)

    b

    the base constant vector

    Definition Classes
    PetriNetRules
  54. def toString(): String
    Definition Classes
    PQItem → AnyRef → Any
  55. def tokenFlow(t: VectorI, b: VectorI, r: VectorI = null, d: Double = 0): VectorI

    Compute the number of tokens to flow over an arc according to the vector expression: b + r * (t-b) * d.

    Compute the number of tokens to flow over an arc according to the vector expression: b + r * (t-b) * d. If d is 0, returns b. Supports linear (w.r.t. time delay) and constant (d == 0) flow models.

    t

    the token vector (number of tokens per color)

    b

    the constant vector for base token flow

    r

    the rate vector (number of tokens per unit time)

    d

    the time delay

    Definition Classes
    PetriNetRules
  56. var tokens: VectorI

    Token vector for transition

  57. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  58. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  59. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  60. val x: Double
  61. val y: Double

Inherited from PetriNetRules

Inherited from Ordered[Transition]

Inherited from Comparable[Transition]

Inherited from PQItem

Inherited from Identifiable

Inherited from Error

Inherited from AnyRef

Inherited from Any

Ungrouped