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	Break out of saturation computation early when top/bottom are found
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					 2 changed files with 46 additions and 3 deletions
				
			
		
							
								
								
									
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								model.py
									
										
									
									
									
								
							
							
						
						
									
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								model.py
									
										
									
									
									
								
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			@ -219,15 +219,18 @@ def satisfiable(logic: Logic, model: Model, interpretation: Dict[Operation, Mode
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def model_closure(initial_set: Set[ModelValue], mfunctions: Set[ModelFunction]):
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def model_closure(initial_set: Set[ModelValue], mfunctions: Set[ModelFunction], top: Optional[ModelValue], bottom: Optional[ModelValue]) -> Set[ModelValue]:
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    """
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    Given an initial set of model values and a set of model functions,
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    compute the complete set of model values that are closed
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    under the operations.
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    If top or bottom is encountered, then we end the saturation procedure early.
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    """
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    closure_set: Set[ModelValue] = initial_set
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    last_new: Set[ModelValue] = initial_set
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    changed: bool = True
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    topbottom_found = False
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    while changed:
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        changed = False
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			@ -251,6 +254,18 @@ def model_closure(initial_set: Set[ModelValue], mfunctions: Set[ModelFunction]):
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                    if element not in closure_set:
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                        new_elements.add(element)
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                    # Optimization: Break out of computation
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                    # early when top or bottom element is foun
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                    if top is not None and element == top:
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                        topbottom_found = True
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                    if bottom is not None and element == bottom:
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                        topbottom_found = True
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                    if topbottom_found:
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                        break
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                if topbottom_found:
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                    break
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                # We don't need to compute the arguments
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                # thanks to the cache, so move onto the
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                # next function.
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			@ -274,8 +289,27 @@ def model_closure(initial_set: Set[ModelValue], mfunctions: Set[ModelFunction]):
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                        if element not in closure_set:
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                            new_elements.add(element)
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                        # Optimization: Break out of computation
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                        # early when top or bottom element is foun
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                        if top is not None and element == top:
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                            topbottom_found = True
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                        if bottom is not None and element == bottom:
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                            topbottom_found = True
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                        if topbottom_found:
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                            break
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                    if topbottom_found:
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                        break
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                if topbottom_found:
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                    break
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        closure_set.update(new_elements)
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        changed = len(new_elements) > 0
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        last_new = new_elements
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        if topbottom_found:
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            break
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    return closure_set
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