object Thm extends OperationCollection
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- Thm.scala
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def
!=(arg0: Any): Boolean
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##(): Int
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def
Ops(implicit isabelle: Isabelle, ec: ExecutionContext): Ops
Returns an instance of type Ops.
Returns an instance of type Ops. It is guaranteed that for each instance
isabelle, exactly one instance ofObsis created (using theecfrom the first such invocation). (If you see this doc string in a class different from OperationCollection but no definition of the class Ops, treat this function as if it was private.)- Definition Classes
- OperationCollection
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def
apply(context: Context, name: String)(implicit isabelle: Isabelle, ec: ExecutionContext): Thm
Retrieves a theorem from the Isabelle process by name.
Retrieves a theorem from the Isabelle process by name. The theorem needs to be available in the given context. Both short and fully qualified names work. (I.e.,
Thm(context, "TrueI")andThm(context, "HOL.TrueI)return the same theorem.) -
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asInstanceOf[T0]: T0
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hashCode(): Int
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def
init()(implicit isabelle: Isabelle, executionContext: ExecutionContext): Unit
Makes sure an Ops instance for the instance
isabelleis initialized.Makes sure an Ops instance for the instance
isabelleis initialized. This is useful when code needs to be sure that the global initialization inside the Ops class has happened (e.g., declarations of ML types via Isabelle.executeMLCodeNow) even if it does not access any of the fields in the Ops class.Can safely be called several times with the same
isabelleand/orexecutionContext.- Definition Classes
- OperationCollection
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ne(arg0: AnyRef): Boolean
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def
newOps(implicit isabelle: Isabelle, ec: ExecutionContext): Ops
Should construct an instance of type Ops
Should construct an instance of type Ops
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notify(): Unit
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notifyAll(): Unit
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object
ThmConverter extends Converter[Thm]
Representation of theorems in ML.
Representation of theorems in ML. (See the general discussion of Context, the same things apply to Thm.)
- ML type:
thm - Representation of theorem
thas an exception:E_Thm th
Available as an implicit value by importing de.unruh.isabelle.pure.Implicits
._ - ML type: