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Explanation texts english
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@ -214,9 +214,8 @@ explanationTree.constStep=Der aktuelle Term %0% ist eine Konstante. Daher wird i
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die Konstante %0% vom Typ %1% angewendet. Da %0% ein %2%-Wert ist, wird die Bedingung %3% der Constraintmenge hinzugefügt.
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die Konstante %0% vom Typ %1% angewendet. Da %0% ein %2%-Wert ist, wird die Bedingung %3% der Constraintmenge hinzugefügt.
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explanationTree.letStep=Da der aktuelle Term %0% ein Let-Ausdruck vom Typ %1% mit Variable %2%, Definition %3% \
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explanationTree.letStep=Da der aktuelle Term %0% ein Let-Ausdruck vom Typ %1% mit Variable %2%, Definition %3% \
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und innerem Term %4% ist, wird in diesem Schritt die Let-Regel angewendet. Dafür wird im linken Teilbaum eine neue \
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und innerem Term %4% ist, wird in diesem Schritt die Let-Regel angewendet. Dafür wird im linken Teilbaum eine neue \
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Typinferenz mit dem Term %3% gestartet. Mit dem Ergebnis der Let-Teilinferenz lässt sich anschließend der Typ der Variable \
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Typinferenz mit dem Term %3% gestartet. Da der Let-Ausdruck und der innere Term vom gleichen Typ sein müssen, wird außerdem \
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%2% bestimmen. Da der Let-Ausdruck und der innere Term vom gleichen Typ sind, muss außerdem die \
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die Bedingung %5% der Constraintmenge hinzugefügt werden.
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Bedingung %5% der Constraintmenge hinzugefügt werden.
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expUnification.initial=In den folgenden Schritten wird der Unifikationsalgorithmus auf der Constraintmenge %0% ausgeführt, \
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expUnification.initial=In den folgenden Schritten wird der Unifikationsalgorithmus auf der Constraintmenge %0% ausgeführt, \
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um den Typen des eingegebenen Terms zu bestimmen.
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um den Typen des eingegebenen Terms zu bestimmen.
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expLetUnification.initial=In den folgenden Schritten wird der Unifikationsalgorithmus auf der Constraintmenge %0% \
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expLetUnification.initial=In den folgenden Schritten wird der Unifikationsalgorithmus auf der Constraintmenge %0% \
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@ -244,7 +243,6 @@ expLetUnification.typeAss=In diesem Schritt werden die Typannahmen %0% für die
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berechnet. Im ersten Schritt wird dafür %1% auf die aktuelle Menge von Typannahmen angewandt. Die dadurch entstandenen \
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berechnet. Im ersten Schritt wird dafür %1% auf die aktuelle Menge von Typannahmen angewandt. Die dadurch entstandenen \
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Typannahmen werden anschließend der Menge %0% hinzugefügt. Im zweiten Schritt wird der Typ der let-Variable %2% berechnet\
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Typannahmen werden anschließend der Menge %0% hinzugefügt. Im zweiten Schritt wird der Typ der let-Variable %2% berechnet\
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. Dafür wird die Typabstraktion %3% zuerst instanziiert und dann gemeinsam mit der Variable %2% als Typannahme der Menge \
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. Dafür wird die Typabstraktion %3% zuerst instanziiert und dann gemeinsam mit der Variable %2% als Typannahme der Menge \
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%0% hinzugefügt. Bei der Instanziierung werden alle Typvariablen, die frei in %4% aber nicht frei in %5% vorkommen \
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%0% hinzugefügt.
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allquantifiziert.
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expLetUnification.letStep=Die Let-Teilinferenz ist jetzt abgeschlossen. Der Typinferenz-Algorithmus wird mit der um %0% \
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expLetUnification.letStep=Die Let-Teilinferenz ist jetzt abgeschlossen. Der Typinferenz-Algorithmus wird mit der um %0% \
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erweiterten Constraintmenge und den neu berechneten Typannahmen fortgeführt.
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erweiterten Constraintmenge und den neu berechneten Typannahmen fortgeführt.
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@ -185,3 +185,49 @@ share.packagesTree.label=Packages (inference tree)
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share.latexTree.label=LaTeX code (whole inference tree)
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share.latexTree.label=LaTeX code (whole inference tree)
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share.packagesUnification.label=Packages (unification/MGU)
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share.packagesUnification.label=Packages (unification/MGU)
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share.latexUnification.label=LaTeX code (current step in unifcation/MGU)
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share.latexUnification.label=LaTeX code (current step in unifcation/MGU)
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explanationTree.initial=At the beginning of the algorithm the type variable %1% is assigned to the input %0%. \
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In the following steps the type of %1% will be determined gradually.
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explanationTree.varStep=The current expression %0% is a variable. Therefore the var rule is applied to the variable \
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%0% of type %1%. Since %0% is of type %2% under the given type assumptions, the constraint %3% is added to the set \
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of constraints.
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explanationTree.absStep=Since the current expression %0% is an abstraction of type %1% with parameter %2% and result %3%, \
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the abs rule is applied in this step. To do this, the parameter is assigned type %4% and the result is assigned type %5%. \
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Therefore the abstraction is of type %6% and the constraint %7% has to be added to the set of constraints.
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explanationTree.appStep=Since the current expression %0% is an application of type %1% with function %2% and argument %3% \
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the app rule is applied in this step. To do this, the function is assigned type %4% and the argument is assigned type \
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%5%. Therefore the function is of the type %6% and the constraint %7% has to be added to the set of constraints.
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explanationTree.constStep=The current expression %0% is a constant. Therefore the const rule is applied to the constant \
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%0% of type %1%. Since the value of %0% is %2%, the constraint %3% is added to the set of constraints.
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explanationTree.letStep=Since the current expression %0% is a let-expression of type %1% with variable %2%, definition %3% \
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and inner term %4%, the let rule is applied in this step. To do this, a new type inference with expression %3% is started \
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in the left subtree. As the let-expression and the inner term have to be of the same type, the constraint %5% is added to \
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the set of constraints.
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expUnification.initial=In the following steps the unfication algorithm will be executed on the set of constraints %0% to \
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determine the type of the initial input.
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expLetUnification.initial=In the following steps the unfication algorithm will be executed on the set of constraints %0% \
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to determine the type of the let-variable %1%.
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expUnification.trivial=In this step the constraint %0% has been removed. Since the left and right side of the constraint \
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are identical, the constraint is always fulfilled and hence is of no use.
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expUnification.variable=In this step the constraint %0% has been replaced. Since %1% is a variable type and does not appear \
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in %2%, all other appearances of %1% can be replaced by %2%. To do this, the substitution %3% is created and is applied to \
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the remaining set of constraints. All changes of the set are highlighted in blue.
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expUnification.function=In this step the constraint %0% has been replaced. Since %1% as well as %2% are function types, \
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the constraints %3% and %4% have to be added to the set of constraints. The original constraint %0% has been removed from \
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the set.
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expUnification.mgu=In this step the most general unifier %0% for the set of constraints %1% is calculated. Therefore the \
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whole set of substitutions is applied to every single substitution of the set.
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expUnification.finalType=In this step the most general unifier %0% is applied to the type %1% of the input. The result %2% \
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is the final type of the input.
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expUnification.infiniteType=The same type variable appears on both sides of the constraint. Since this would cause an \
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infinite type, the execution of the unification is stopped.
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expUnification.differentTypes=Since the types on both sides of the constraint are incompatible, the execution of the \
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unification is stopped.
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expLetUnification.finalType=In this step the most general unifier %0% is applied to the type %1% of the let-definition. \
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The result %2% is the final type of the let-definition.
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expLetUnification.typeAss=In this step the type assumptions %0% for the further execution of the algorithm are \
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calculated. To do this, %1% is applied to the current set of type assumptions. The resulting new type assumptions are \
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added to the set %0%. Afterwards the type of the let-variable %2% is calculated. Therefore the type assumption is \
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instantiated and then added to the set %0% as a type assumption with variable %2%.
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expLetUnification.letStep=The let-inference is now finished. The execution of the algorithm continues with the newly \
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calculated type assumptions and the old set of constraints extended by the set %0%.
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