brozek/matmod
1
0
Fork 0
mirror of https://github.com/Brandon-Rozek/matmod.git synced 2024-10-17 21:05:05 -04:00
Code Issues Projects Releases Packages Wiki Activity

Refactored

Browse source
This commit is contained in:
Brandon Rozek 2024-10-04 14:09:18 -04:00
parent 45ee3d546c
commit b4b5a7d4e6
1 changed files with 60 additions and 39 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

99
parse_magic.py
View file

@ -31,91 +31,112 @@ class UglyHeader:
self.negation = negation self.negation = negation
self.necessitation = necessitation self.necessitation = necessitation
# NOTE: Global variable used to keep track of solution models class ModelBuilder:
solutions: List[Tuple[Model, Dict]] = [] def __init__(self):
self.size : int = 0
self.carrier_set : Set[ModelValue] = set()
self.num_negation: int = 0
self.mnegation: Optional[ModelFunction] = None
self.num_order: int = 0
self.mconjunction: Optional[ModelFunction] = None
self.mdisjunction: Optional[ModelFunction] = None
self.num_designated: int = 0
self.designated_values: Set[ModelValue] = set()
self.num_implication: int = 0
self.mimplication: Optional[ModelFunction] = None
def parse_matrices(infile: SourceFile) -> List[Tuple[Model, Dict]]: def parse_matrices(infile: SourceFile) -> List[Tuple[Model, Dict]]:
global solutions
solutions = [] # Reset solutions = [] # Reset
header = parse_header(infile) header = parse_header(infile)
process_sizes(infile, header) current_model_parts = ModelBuilder()
process_sizes(infile, header, current_model_parts, solutions)
return solutions
def process_sizes(infile: SourceFile, header: UglyHeader): def process_sizes(infile: SourceFile, header: UglyHeader, current_model_parts: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
"""Stage 1""" """Stage 1"""
while True: while True:
size = parse_size(infile) size = parse_size(infile)
if size is None: if size is None:
break break
carrier_set = carrier_set_from_size(size) carrier_set = carrier_set_from_size(size)
process_negations(infile, header, size, carrier_set) current_model_parts.size = size
current_model_parts.carrier_set = carrier_set
process_negations(infile, header, current_model_parts, solutions)
def process_negations(infile: SourceFile, header: UglyHeader, size: int, carrier_set: Set[ModelValue]): def process_negations(infile: SourceFile, header: UglyHeader, current_model_parts: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
"""Stage 2 (Optional)""" """Stage 2 (Optional)"""
num_negation = 0 num_negation = 0
while True: while True:
mnegation = None mnegation = None
if header.negation: if header.negation:
mnegation = parse_single_negation(infile, size) mnegation = parse_single_negation(infile, current_model_parts.size)
if mnegation is None: if mnegation is None:
break break
num_negation += 1 num_negation += 1
process_orders(infile, header, size, carrier_set, num_negation, mnegation) current_model_parts.num_negation = num_negation
current_model_parts.mnegation = mnegation
process_orders(infile, header, current_model_parts, solutions)
if not header.negation: if not header.negation:
break break
def process_orders(infile: SourceFile, header: UglyHeader, size: int, carrier_set: Set[ModelValue], num_negation: int, mnegation: Optional[ModelFunction]): def process_orders(infile: SourceFile, header: UglyHeader, current_model_parts: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
"""Stage 3""" """Stage 3"""
num_order = 0 num_order = 0
while True: while True:
result = parse_single_order(infile, size) result = parse_single_order(infile, current_model_parts.size)
if result is None: if result is None:
break break
mconjunction, mdisjunction = result
num_order += 1 num_order += 1
process_designateds(infile, header, size, carrier_set, num_negation, mnegation, num_order, mconjunction, mdisjunction) mconjunction, mdisjunction = result
current_model_parts.num_order = num_order
current_model_parts.mconjunction = mconjunction
current_model_parts.mdisjunction = mdisjunction
process_designateds(infile, header, current_model_parts, solutions)
def process_designateds(infile: SourceFile, header: UglyHeader, size: int, carrier_set: Set[ModelValue], num_negation: int, mnegation: Optional[ModelFunction], num_order: int, mconjunction: Optional[ModelFunction], mdisjunction: Optional[ModelFunction]): def process_designateds(infile: SourceFile, header: UglyHeader, current_model_parts: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
"""Stage 4""" """Stage 4"""
num_designated = 0 num_designated = 0
while True: while True:
designated_values = parse_single_designated(infile, size) designated_values = parse_single_designated(infile, current_model_parts.size)
if designated_values is None: if designated_values is None:
break break
num_designated += 1 num_designated += 1
process_implications(infile, header, size, carrier_set, num_negation, mnegation, num_order, mconjunction, mdisjunction, num_designated, designated_values) current_model_parts.num_designated = num_designated
current_model_parts.designated_values = designated_values
process_implications(infile, header, current_model_parts, solutions)
def process_implications( def process_implications(
infile: SourceFile, header: UglyHeader, size: int, carrier_set: Set[ModelValue], num_negation: int, mnegation: Optional[ModelFunction], infile: SourceFile, header: UglyHeader, current_model_parts: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
num_order: int, mconjunction: Optional[ModelFunction], mdisjunction: Optional[ModelFunction], num_designated: int, designated_values: Set[ModelValue]):
"""Stage 5""" """Stage 5"""
results = parse_implications(infile, size) results = parse_implications(infile, current_model_parts.size)
for num_implication, mimplication in enumerate(results, 1): for num_implication, mimplication in enumerate(results, 1):
process_model(size, carrier_set, num_negation, mnegation, num_order, mconjunction, mdisjunction, num_designated, designated_values, num_implication, mimplication) current_model_parts.num_implication = num_implication
current_model_parts.mimplication = mimplication
process_model(current_model_parts, solutions)
def process_model( def process_model(mp: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
size: int, carrier_set: Set[ModelValue], num_negation: int, mnegation: Optional[ModelFunction],
num_order: int, mconjunction: Optional[ModelFunction], mdisjunction: Optional[ModelFunction], num_designated: int,
designated_values: Set[ModelValue], num_implication: int, mimplication: ModelFunction):
"""Create Model""" """Create Model"""
global solutions assert mp.mimplication is not None
assert len(mp.carrier_set) > 0
logical_operations = { mimplication } logical_operations = { mp.mimplication }
model_name = f"{size}{'.' + str(num_negation) if num_negation != 0 else ''}.{num_order}.{num_designated}.{num_implication}" model_name = f"{mp.size}{'.' + str(mp.num_negation) if mp.num_negation != 0 else ''}.{mp.num_order}.{mp.num_designated}.{mp.num_implication}"
model = Model(carrier_set, logical_operations, designated_values, name=model_name) model = Model(mp.carrier_set, logical_operations, mp.designated_values, name=model_name)
interpretation = { interpretation = {
Implication: mimplication Implication: mp.mimplication
} }
if mnegation is not None: if mp.mnegation is not None:
logical_operations.add(mnegation) logical_operations.add(mp.mnegation)
interpretation[Negation] = mnegation interpretation[Negation] = mp.mnegation
if mconjunction is not None: if mp.mconjunction is not None:
logical_operations.add(mconjunction) logical_operations.add(mp.mconjunction)
interpretation[Conjunction] = mconjunction interpretation[Conjunction] = mp.mconjunction
if mdisjunction is not None: if mp.mdisjunction is not None:
logical_operations.add(mdisjunction) logical_operations.add(mp.mdisjunction)
interpretation[Disjunction] = mdisjunction interpretation[Disjunction] = mp.mdisjunction
solutions.append((model, interpretation)) solutions.append((model, interpretation))
print(f"Parsed Matrix {model.name}") print(f"Parsed Matrix {model.name}")
@ -343,7 +364,7 @@ if __name__ == "__main__":
parser = argparse.ArgumentParser(description="VSP Checker") parser = argparse.ArgumentParser(description="VSP Checker")
parser.add_argument("--verbose", action='store_true', help="Print out all parsed matrices") parser.add_argument("--verbose", action='store_true', help="Print out all parsed matrices")
args = vars(parser.parse_args()) args = vars(parser.parse_args())
parse_matrices(SourceFile(sys.stdin)) solutions = parse_matrices(SourceFile(sys.stdin))
print(f"Parsed {len(solutions)} matrices") print(f"Parsed {len(solutions)} matrices")
num_has_vsp = 0 num_has_vsp = 0
for i, (model, interpretation) in enumerate(solutions): for i, (model, interpretation) in enumerate(solutions):