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https://github.com/Brandon-Rozek/matmod.git
synced 2024-11-22 22:06:29 -05:00
Fixed numbering scheme
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parent
17fb542bd0
commit
9744f976dd
1 changed files with 108 additions and 65 deletions
173
parse_magic.py
173
parse_magic.py
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@ -62,16 +62,11 @@ class ModelBuilder:
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def __init__(self):
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self.size : int = 0
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self.carrier_set : Set[ModelValue] = set()
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self.num_negation: int = 0
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self.mnegation: Optional[ModelFunction] = None
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self.num_order: int = 0
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self.mconjunction: Optional[ModelFunction] = None
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self.mdisjunction: Optional[ModelFunction] = None
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self.num_designated: int = 0
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self.designated_values: Set[ModelValue] = set()
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self.num_implication: int = 0
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self.mimplication: Optional[ModelFunction] = None
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self.num_necessitation: int = 0
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self.mnecessitation: Optional[ModelFunction] = None
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self.custom_model_functions: Dict[str, ModelFunction] = {}
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@ -80,34 +75,82 @@ class Stage:
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self.name = name
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self.next: Optional['Stage'] = None
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self.previous: Optional['Stage'] = None
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self.num = 0
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def increment(self):
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self.num += 1
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def reset(self):
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self.num = 0
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def __str__(self):
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return self.name
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class Stages:
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def __init__(self):
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self.stages: Dict[str, Stage] = {}
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self.last_stage: Optional[Stage] = None
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self.last_added_stage: Optional[Stage] = None
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self.first_stage: Optional[Stage] = None
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def add(self, name: str):
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stage = Stage(name)
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stage.next = stage
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if self.last_stage is not None:
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stage.previous = self.last_stage
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self.last_stage.next = stage
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if self.last_added_stage is not None:
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stage.previous = self.last_added_stage
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self.last_added_stage.next = stage
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else:
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# The previous of the first stage
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# is the end
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self.first_stage = stage
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stage.previous = Stage("end")
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self.stages[name] = stage
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self.last_stage = stage
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self.last_added_stage = stage
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def next_stage(self, name):
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return self.stages[name].next
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def previous_stage(self, name):
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return self.stages[name].previous
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def reset_after(self, name):
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stage = self.stages[name]
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stage.reset()
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if stage.next.name == "process_model":
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return
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next_stage = stage.next
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while next_stage is not None:
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next_stage.reset()
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if next_stage.next.name == "process_model":
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next_stage = None
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else:
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next_stage = next_stage.next
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def get(self, name):
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return self.stages[name]
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def name(self):
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result = ""
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stage = self.first_stage
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if stage is None:
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return ""
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result = f"{stage.num}"
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if stage.next == "process_model":
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return result
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stage = stage.next
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while stage is not None:
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result += f".{stage.num}"
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if stage.next.name != "process_model":
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stage = stage.next
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else:
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stage = None
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return result
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def derive_stages(header: UglyHeader) -> Stages:
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stages = Stages()
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stages.add("size")
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@ -135,49 +178,84 @@ def parse_matrices(infile: SourceFile) -> List[Tuple[Model, Dict]]:
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current_model_parts = ModelBuilder()
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stage = stages.get("size")
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while True:
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print("Current stage:", stage)
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match stage.name:
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case "end":
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break
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case "process_model":
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process_model(current_model_parts, solutions)
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process_model(stages.name(), current_model_parts, solutions)
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stage = stage.next
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case "size":
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processed = process_sizes(infile, current_model_parts, first_run)
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first_run = False
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stage = stage.next if processed else stage.previous
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if processed:
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stage.num = current_model_parts.size + 1
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stage = stage.next
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else:
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stages.reset_after(stage.name)
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stage = stage.previous
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case "negation":
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processed = process_negations(infile, current_model_parts)
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stage = stage.next if processed else stage.previous
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if processed:
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stage.increment()
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stage = stage.next
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else:
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stages.reset_after(stage.name)
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stage = stage.previous
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case "order":
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processed = process_orders(infile, current_model_parts)
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stage = stage.next if processed else stage.previous
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if processed:
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stage.increment()
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stage = stage.next
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else:
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stages.reset_after(stage.name)
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stage = stage.previous
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case "designated":
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processed = process_designateds(infile, current_model_parts)
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stage = stage.next if processed else stage.previous
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if processed:
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stage.increment()
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stage = stage.next
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else:
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stages.reset_after(stage.name)
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stage = stage.previous
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case "implication":
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processed = process_implications(infile, current_model_parts)
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stage = stage.next if processed else stage.previous
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if processed:
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stage.increment()
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stage = stage.next
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else:
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stages.reset_after(stage.name)
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stage = stage.previous
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case "necessitation":
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processed = process_necessitations(infile, current_model_parts)
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stage = stage.next if processed else stage.previous
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if processed:
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stage.increment()
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stage = stage.next
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else:
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stages.reset_after(stage.name)
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stage = stage.previous
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case _:
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custom_stage = re.search(r"custom--(\d+)--(\S+)", stage.name)
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if custom_stage is None or len(custom_stage.groups()) != 2:
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raise NotImplementedError(f"Unrecognized Stage: {stage.name}")
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adicity, symbol = custom_stage.groups()
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adicity = int(adicity)
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processed = True
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if adicity == 0:
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# We don't need to do anything here
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stage = stage.next
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elif adicity == 1:
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processed = process_monadic_connective(infile, symbol, current_model_parts)
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stage = stage.next if processed else stage.previous
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processed = process_custom_monadic_connective(infile, symbol, current_model_parts)
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elif adicity == 2:
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processed = process_dyadic_connective(infile, symbol, current_model_parts)
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stage = stage.next if processed else stage.previous
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processed = process_custom_dyadic_connective(infile, symbol, current_model_parts)
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else:
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raise NotImplementedError("Unable to process connectives of adicity greater than 2")
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raise NotImplementedError("Unable to process connectives of adicity greater than c2")
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if processed:
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stage.increment()
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stage = stage.next
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else:
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stages.reset_after(stage.name)
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stage = stage.previous
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return solutions
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@ -191,15 +269,8 @@ def process_sizes(infile: SourceFile, current_model_parts: ModelBuilder, first_r
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return False
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carrier_set = carrier_set_from_size(size)
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current_model_parts.size = size
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current_model_parts.carrier_set = carrier_set
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# Reset counts
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current_model_parts.num_negation = 0
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current_model_parts.num_order = 0
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current_model_parts.num_designated = 0
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current_model_parts.num_implication = 0
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current_model_parts.num_necessitation = 0
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current_model_parts.size = size
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return True
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@ -209,15 +280,7 @@ def process_negations(infile: SourceFile, current_model_parts: ModelBuilder) ->
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if mnegation is None:
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return False
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current_model_parts.num_negation += 1
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current_model_parts.mnegation = mnegation
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# Reset counts
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current_model_parts.num_order = 0
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current_model_parts.num_designated = 0
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current_model_parts.num_implication = 0
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current_model_parts.num_necessitation = 0
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return True
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def process_orders(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
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@ -227,15 +290,9 @@ def process_orders(infile: SourceFile, current_model_parts: ModelBuilder) -> boo
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return False
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mconjunction, mdisjunction = result
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current_model_parts.num_order += 1
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current_model_parts.mconjunction = mconjunction
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current_model_parts.mdisjunction = mdisjunction
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# Reset counts
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current_model_parts.num_designated = 0
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current_model_parts.num_implication = 0
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current_model_parts.num_necessitation = 0
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return True
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def process_designateds(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
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@ -244,13 +301,7 @@ def process_designateds(infile: SourceFile, current_model_parts: ModelBuilder) -
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if designated_values is None:
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return False
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current_model_parts.num_designated += 1
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current_model_parts.designated_values = designated_values
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# Reset counts
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current_model_parts.num_implication = 0
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current_model_parts.num_necessitation = 0
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return True
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def process_implications(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
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@ -259,12 +310,7 @@ def process_implications(infile: SourceFile, current_model_parts: ModelBuilder)
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if mimplication is None:
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return False
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current_model_parts.num_implication += 1
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current_model_parts.mimplication = mimplication
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# Reset counts
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current_model_parts.num_necessitation = 0
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return True
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def process_necessitations(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
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@ -272,12 +318,10 @@ def process_necessitations(infile: SourceFile, current_model_parts: ModelBuilder
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if mnecessitation is None:
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return False
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current_model_parts.num_necessitation += 1
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current_model_parts.mnecessitation = mnecessitation
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return True
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def process_monadic_connective(infile: SourceFile, symbol: str, current_model_parts: ModelBuilder) -> bool:
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def process_custom_monadic_connective(infile: SourceFile, symbol: str, current_model_parts: ModelBuilder) -> bool:
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mfunction = parse_single_monadic_connective(infile, symbol, current_model_parts.size)
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if mfunction is None:
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return False
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@ -285,7 +329,7 @@ def process_monadic_connective(infile: SourceFile, symbol: str, current_model_pa
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current_model_parts.custom_model_functions[symbol] = mfunction
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return True
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def process_dyadic_connective(infile: SourceFile, symbol: str, current_model_parts: ModelBuilder) -> bool:
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def process_custom_dyadic_connective(infile: SourceFile, symbol: str, current_model_parts: ModelBuilder) -> bool:
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mfunction = parse_single_dyadic_connective(infile, symbol, current_model_parts.size)
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if mfunction is None:
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return False
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@ -293,13 +337,12 @@ def process_dyadic_connective(infile: SourceFile, symbol: str, current_model_par
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current_model_parts.custom_model_functions[symbol] = mfunction
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return True
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def process_model(mp: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
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def process_model(model_name: str, mp: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
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"""Create Model"""
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assert mp.mimplication is not None
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assert mp.size + 1 == len(mp.carrier_set)
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logical_operations = { mp.mimplication }
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model_name = f"{mp.size + 1}{'.' + str(mp.num_negation) if mp.num_negation != 0 else ''}.{mp.num_order}.{mp.num_designated}.{mp.num_implication}{'.' + str(mp.num_necessitation) if mp.num_necessitation != 0 else ''}"
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model = Model(mp.carrier_set, logical_operations, mp.designated_values, name=model_name)
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interpretation = {
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Implication: mp.mimplication
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@ -318,10 +361,10 @@ def process_model(mp: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
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interpretation[Necessitation] = mp.mnecessitation
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for custom_mf in mp.custom_model_functions.values():
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if custom_mf is None:
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if custom_mf is not None:
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logical_operations.add(custom_mf)
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# NOTE: No need to assign interpretation
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# for VSP check
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# NOTE: No need to assign interpretation
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# for VSP check
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solutions.append((model, interpretation))
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print(f"Parsed Matrix {model.name}")
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