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3 commits

Author SHA1 Message Date
9744f976dd Fixed numbering scheme 2024-10-28 13:48:36 -04:00
17fb542bd0 Progress on handling custom connectives
TODO: Fix matrix numbering
2024-10-28 12:54:13 -04:00
e293e5ac3e Finished parse refactor 2024-10-28 11:14:33 -04:00

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@ -4,6 +4,7 @@ Parses the Magic Ugly Data File Format
Assumes the base logic is R with no extra connectives Assumes the base logic is R with no extra connectives
""" """
import argparse import argparse
import re
import sys import sys
from typing import TextIO, List, Optional, Tuple, Set, Dict from typing import TextIO, List, Optional, Tuple, Set, Dict
@ -23,14 +24,31 @@ class SourceFile:
self.current_line = 0 self.current_line = 0
self.reststr = "" self.reststr = ""
def __next__(self): def next_line(self):
if self.reststr != "": if self.reststr != "":
return self.reststr reststr = self.reststr
self.reststr = ""
return reststr
contents = next(self.fileobj) contents = next(self.fileobj).strip()
self.current_line += 1 self.current_line += 1
return contents return contents
def __next__(self):
"""
Grabs the next word token from the stream
"""
if self.reststr == "":
self.reststr = next(self.fileobj).strip()
self.current_line += 1
tokens = self.reststr.split(" ")
next_token = tokens[0]
self.reststr = " ".join(tokens[1:])
return next_token
def set_reststr(self, reststr: str): def set_reststr(self, reststr: str):
self.reststr = reststr self.reststr = reststr
@ -44,49 +62,95 @@ class ModelBuilder:
def __init__(self): def __init__(self):
self.size : int = 0 self.size : int = 0
self.carrier_set : Set[ModelValue] = set() self.carrier_set : Set[ModelValue] = set()
self.num_negation: int = 0
self.mnegation: Optional[ModelFunction] = None self.mnegation: Optional[ModelFunction] = None
self.num_order: int = 0
self.mconjunction: Optional[ModelFunction] = None self.mconjunction: Optional[ModelFunction] = None
self.mdisjunction: Optional[ModelFunction] = None self.mdisjunction: Optional[ModelFunction] = None
self.num_designated: int = 0
self.designated_values: Set[ModelValue] = set() self.designated_values: Set[ModelValue] = set()
self.num_implication: int = 0
self.mimplication: Optional[ModelFunction] = None self.mimplication: Optional[ModelFunction] = None
self.num_necessitation: int = 0
self.mnecessitation: Optional[ModelFunction] = None self.mnecessitation: Optional[ModelFunction] = None
self.custom_model_functions: List[Tuple[int, ModelFunction]] self.custom_model_functions: Dict[str, ModelFunction] = {}
class Stage: class Stage:
def __init__(self, name: str): def __init__(self, name: str):
self.name = name self.name = name
self.next: Optional['Stage'] = None self.next: Optional['Stage'] = None
self.previous: Optional['Stage'] = None self.previous: Optional['Stage'] = None
self.num = 0
def increment(self):
self.num += 1
def reset(self):
self.num = 0
def __str__(self): def __str__(self):
return self.name return self.name
class Stages: class Stages:
def __init__(self): def __init__(self):
self.stages: Dict[str, Stage] = {} self.stages: Dict[str, Stage] = {}
self.last_stage: Optional[Stage] = None self.last_added_stage: Optional[Stage] = None
self.first_stage: Optional[Stage] = None
def add(self, name: str): def add(self, name: str):
stage = Stage(name) stage = Stage(name)
stage.next = stage stage.next = stage
if self.last_stage is not None:
stage.previous = self.last_stage if self.last_added_stage is not None:
self.last_stage.next = stage stage.previous = self.last_added_stage
self.last_added_stage.next = stage
else: else:
# The previous of the first stage
# is the end
self.first_stage = stage
stage.previous = Stage("end") stage.previous = Stage("end")
self.stages[name] = stage self.stages[name] = stage
self.last_stage = stage self.last_added_stage = stage
def next_stage(self, name): def next_stage(self, name):
return self.stages[name].next return self.stages[name].next
def previous_stage(self, name): def previous_stage(self, name):
return self.stages[name].previous return self.stages[name].previous
def reset_after(self, name):
stage = self.stages[name]
stage.reset()
if stage.next.name == "process_model":
return
next_stage = stage.next
while next_stage is not None:
next_stage.reset()
if next_stage.next.name == "process_model":
next_stage = None
else:
next_stage = next_stage.next
def get(self, name): def get(self, name):
return self.stages[name] return self.stages[name]
def name(self):
result = ""
stage = self.first_stage
if stage is None:
return ""
result = f"{stage.num}"
if stage.next == "process_model":
return result
stage = stage.next
while stage is not None:
result += f".{stage.num}"
if stage.next.name != "process_model":
stage = stage.next
else:
stage = None
return result
def derive_stages(header: UglyHeader) -> Stages: def derive_stages(header: UglyHeader) -> Stages:
stages = Stages() stages = Stages()
stages.add("size") stages.add("size")
@ -97,9 +161,8 @@ def derive_stages(header: UglyHeader) -> Stages:
stages.add("implication") stages.add("implication")
if header.necessitation: if header.necessitation:
stages.add("necessitation") stages.add("necessitation")
# TODO: Can't use -- as that can be a custom symbol for (adicity, symbol) in header.custom_model_functions:
# for (acidity, symbol) in header.custom_model_functions: stages.add(f"custom--{adicity}--{symbol}")
# stages.add(f"custom--{acidity}--{symbol}")
stages.add("process_model") stages.add("process_model")
# After processing the model, go to the previous stage # After processing the model, go to the previous stage
@ -107,7 +170,6 @@ def derive_stages(header: UglyHeader) -> Stages:
return stages return stages
def parse_matrices(infile: SourceFile) -> List[Tuple[Model, Dict]]: def parse_matrices(infile: SourceFile) -> List[Tuple[Model, Dict]]:
solutions = [] # Reset solutions = [] # Reset
header = parse_header(infile) header = parse_header(infile)
@ -116,34 +178,85 @@ def parse_matrices(infile: SourceFile) -> List[Tuple[Model, Dict]]:
current_model_parts = ModelBuilder() current_model_parts = ModelBuilder()
stage = stages.get("size") stage = stages.get("size")
while True: while True:
print("Current stage:", stage)
match stage.name: match stage.name:
case "end": case "end":
break break
case "process_model": case "process_model":
process_model(current_model_parts, solutions) process_model(stages.name(), current_model_parts, solutions)
stage = stage.next stage = stage.next
case "size": case "size":
processed = process_sizes(infile, current_model_parts, first_run) processed = process_sizes(infile, current_model_parts, first_run)
first_run = False first_run = False
stage = stage.next if processed else stage.previous if processed:
stage.num = current_model_parts.size + 1
stage = stage.next
else:
stages.reset_after(stage.name)
stage = stage.previous
case "negation": case "negation":
processed = process_negations(infile, current_model_parts) processed = process_negations(infile, current_model_parts)
stage = stage.next if processed else stage.previous if processed:
stage.increment()
stage = stage.next
else:
stages.reset_after(stage.name)
stage = stage.previous
case "order": case "order":
processed = process_orders(infile, current_model_parts) processed = process_orders(infile, current_model_parts)
stage = stage.next if processed else stage.previous if processed:
stage.increment()
stage = stage.next
else:
stages.reset_after(stage.name)
stage = stage.previous
case "designated": case "designated":
processed = process_designateds(infile, current_model_parts) processed = process_designateds(infile, current_model_parts)
stage = stage.next if processed else stage.previous if processed:
stage.increment()
stage = stage.next
else:
stages.reset_after(stage.name)
stage = stage.previous
case "implication": case "implication":
processed = process_implications(infile, current_model_parts) processed = process_implications(infile, current_model_parts)
stage = stage.next if processed else stage.previous if processed:
stage.increment()
stage = stage.next
else:
stages.reset_after(stage.name)
stage = stage.previous
case "necessitation": case "necessitation":
processed = process_necessitations(infile, current_model_parts) processed = process_necessitations(infile, current_model_parts)
stage = stage.next if processed else stage.previous if processed:
stage.increment()
stage = stage.next
else:
stages.reset_after(stage.name)
stage = stage.previous
case _: case _:
raise NotImplementedError("Custom Connectives are not yet supported") custom_stage = re.search(r"custom--(\d+)--(\S+)", stage.name)
if custom_stage is None or len(custom_stage.groups()) != 2:
raise NotImplementedError(f"Unrecognized Stage: {stage.name}")
adicity, symbol = custom_stage.groups()
adicity = int(adicity)
processed = True
if adicity == 0:
# We don't need to do anything here
stage = stage.next
elif adicity == 1:
processed = process_custom_monadic_connective(infile, symbol, current_model_parts)
elif adicity == 2:
processed = process_custom_dyadic_connective(infile, symbol, current_model_parts)
else:
raise NotImplementedError("Unable to process connectives of adicity greater than c2")
if processed:
stage.increment()
stage = stage.next
else:
stages.reset_after(stage.name)
stage = stage.previous
return solutions return solutions
@ -156,15 +269,8 @@ def process_sizes(infile: SourceFile, current_model_parts: ModelBuilder, first_r
return False return False
carrier_set = carrier_set_from_size(size) carrier_set = carrier_set_from_size(size)
current_model_parts.size = size
current_model_parts.carrier_set = carrier_set current_model_parts.carrier_set = carrier_set
current_model_parts.size = size
# Reset counts
current_model_parts.num_negation = 0
current_model_parts.num_order = 0
current_model_parts.num_designated = 0
current_model_parts.num_implication = 0
current_model_parts.num_necessitation = 0
return True return True
@ -174,15 +280,7 @@ def process_negations(infile: SourceFile, current_model_parts: ModelBuilder) ->
if mnegation is None: if mnegation is None:
return False return False
current_model_parts.num_negation += 1
current_model_parts.mnegation = mnegation current_model_parts.mnegation = mnegation
# Reset counts
current_model_parts.num_order = 0
current_model_parts.num_designated = 0
current_model_parts.num_implication = 0
current_model_parts.num_necessitation = 0
return True return True
def process_orders(infile: SourceFile, current_model_parts: ModelBuilder) -> bool: def process_orders(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
@ -192,15 +290,9 @@ def process_orders(infile: SourceFile, current_model_parts: ModelBuilder) -> boo
return False return False
mconjunction, mdisjunction = result mconjunction, mdisjunction = result
current_model_parts.num_order += 1
current_model_parts.mconjunction = mconjunction current_model_parts.mconjunction = mconjunction
current_model_parts.mdisjunction = mdisjunction current_model_parts.mdisjunction = mdisjunction
# Reset counts
current_model_parts.num_designated = 0
current_model_parts.num_implication = 0
current_model_parts.num_necessitation = 0
return True return True
def process_designateds(infile: SourceFile, current_model_parts: ModelBuilder) -> bool: def process_designateds(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
@ -209,58 +301,48 @@ def process_designateds(infile: SourceFile, current_model_parts: ModelBuilder) -
if designated_values is None: if designated_values is None:
return False return False
current_model_parts.num_designated += 1
current_model_parts.designated_values = designated_values current_model_parts.designated_values = designated_values
# Reset counts
current_model_parts.num_implication = 0
current_model_parts.num_necessitation = 0
return True return True
def process_implications(infile: SourceFile, current_model_parts: ModelBuilder) -> bool: def process_implications(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
"""Stage 5""" """Stage 5"""
if infile.reststr == "": mimplication = parse_single_implication(infile, current_model_parts.size)
infile.reststr = next(infile).strip()
mimplication, reststr = parse_single_implication(infile.reststr, infile.current_line, current_model_parts.size)
infile.reststr = reststr
if mimplication is None: if mimplication is None:
return False return False
current_model_parts.num_implication += 1
current_model_parts.mimplication = mimplication current_model_parts.mimplication = mimplication
# Reset counts
current_model_parts.num_necessitation = 0
return True return True
def process_necessitations(infile: SourceFile, current_model_parts: ModelBuilder) -> bool: def process_necessitations(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
# TODO: In progress mnecessitation = parse_single_necessitation(infile, current_model_parts.size)
if infile.reststr != "":
infile.reststr = next(infile).strip()
# TODO: This should match the implication way of doing things when
# custom conenctives are involved (returning reststr)
mnecessitation, reststr = parse_single_necessitation_from_str(infile.reststr, infile.current_line, current_model_parts.size)
infile.reststr = reststr
if mnecessitation is None: if mnecessitation is None:
return False return False
current_model_parts.num_necessitation += 1
current_model_parts.mnecessitation = mnecessitation current_model_parts.mnecessitation = mnecessitation
return True return True
def process_model(mp: ModelBuilder, solutions: List[Tuple[Model, Dict]]): def process_custom_monadic_connective(infile: SourceFile, symbol: str, current_model_parts: ModelBuilder) -> bool:
mfunction = parse_single_monadic_connective(infile, symbol, current_model_parts.size)
if mfunction is None:
return False
current_model_parts.custom_model_functions[symbol] = mfunction
return True
def process_custom_dyadic_connective(infile: SourceFile, symbol: str, current_model_parts: ModelBuilder) -> bool:
mfunction = parse_single_dyadic_connective(infile, symbol, current_model_parts.size)
if mfunction is None:
return False
current_model_parts.custom_model_functions[symbol] = mfunction
return True
def process_model(model_name: str, mp: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
"""Create Model""" """Create Model"""
assert mp.mimplication is not None assert mp.mimplication is not None
assert len(mp.carrier_set) > 0
assert mp.size + 1 == len(mp.carrier_set) assert mp.size + 1 == len(mp.carrier_set)
logical_operations = { mp.mimplication } logical_operations = { mp.mimplication }
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 ''}"
model = Model(mp.carrier_set, logical_operations, mp.designated_values, name=model_name) model = Model(mp.carrier_set, logical_operations, mp.designated_values, name=model_name)
interpretation = { interpretation = {
Implication: mp.mimplication Implication: mp.mimplication
@ -278,6 +360,12 @@ def process_model(mp: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
logical_operations.add(mp.mnecessitation) logical_operations.add(mp.mnecessitation)
interpretation[Necessitation] = mp.mnecessitation interpretation[Necessitation] = mp.mnecessitation
for custom_mf in mp.custom_model_functions.values():
if custom_mf is not None:
logical_operations.add(custom_mf)
# NOTE: No need to assign interpretation
# for VSP check
solutions.append((model, interpretation)) solutions.append((model, interpretation))
print(f"Parsed Matrix {model.name}") print(f"Parsed Matrix {model.name}")
@ -285,7 +373,7 @@ def parse_header(infile: SourceFile) -> UglyHeader:
""" """
Parse the header line from the ugly data format. Parse the header line from the ugly data format.
""" """
header_line = next(infile).strip() header_line = infile.next_line()
header_tokens = header_line.split(" ") header_tokens = header_line.split(" ")
assert header_tokens[0] in ["0", "1"] assert header_tokens[0] in ["0", "1"]
assert header_tokens[6] in ["0", "1"] assert header_tokens[6] in ["0", "1"]
@ -314,12 +402,12 @@ def parse_size(infile: SourceFile, first_run: bool) -> Optional[int]:
Parse the line representing the matrix size. Parse the line representing the matrix size.
""" """
size = int(next(infile)) size = int(infile.next_line())
# HACK: When necessitation and custom connectives are enabled # HACK: When necessitation and custom connectives are enabled
# MaGIC may produce -1s at the beginning of the file # MaGIC may produce -1s at the beginning of the file
if first_run: if first_run:
while size == -1: while size == -1:
size = int(next(infile)) size = int(infile.next_line())
if size == -1: if size == -1:
return None return None
@ -330,20 +418,7 @@ def parse_single_negation(infile: SourceFile, size: int) -> Optional[ModelFuncti
""" """
Parse the line representing the negation table. Parse the line representing the negation table.
""" """
line = next(infile).strip() return parse_single_monadic_connective(infile, "¬", size)
if line == '-1':
return None
row = line.split(" ")
assert len(row) == size + 1, f"Negation table doesn't match size at line {infile.current_line}"
mapping = {}
for i, j in zip(range(size + 1), row):
x = mvalue_from_index(i)
y = parse_mvalue(j)
mapping[(x, )] = y
return ModelFunction(1, mapping, "¬")
def mvalue_from_index(i: int) -> ModelValue: def mvalue_from_index(i: int) -> ModelValue:
""" """
@ -410,7 +485,7 @@ def parse_single_order(infile: SourceFile, size: int) -> Optional[Tuple[ModelFun
""" """
Parse the line representing the ordering table Parse the line representing the ordering table
""" """
line = next(infile).strip() line = infile.next_line()
if line == '-1': if line == '-1':
return None return None
@ -461,7 +536,7 @@ def parse_single_designated(infile: SourceFile, size: int) -> Optional[Set[Model
""" """
Parse the line representing which model values are designated. Parse the line representing which model values are designated.
""" """
line = next(infile).strip() line = infile.next_line()
if line == '-1': if line == '-1':
return None return None
@ -477,17 +552,49 @@ def parse_single_designated(infile: SourceFile, size: int) -> Optional[Set[Model
return designated_values return designated_values
def parse_single_implication(instr: str, line: int, size: int) -> Tuple[ModelFunction, str]: def parse_single_implication(infile: SourceFile, size: int) -> Tuple[ModelFunction]:
""" """
Take the current string, parse an implication table from it, Take the current string, parse an implication table from it.
and return along with it the remainder of the string
""" """
if instr == "-1": return parse_single_dyadic_connective(infile, "", size)
return None, ""
table = instr.split(" ") def parse_single_necessitation(infile: SourceFile, size: int) -> Optional[ModelFunction]:
"""
Parse the line representing the necessitation table.
"""
return parse_single_monadic_connective(infile, "!", size)
assert len(table) >= (size + 1)**2, f"Implication table does not match expected size at line {line}" def parse_single_monadic_connective(infile: SourceFile, symbol: str, size: int) -> Optional[ModelFunction]:
line = infile.next_line()
if line == '-1':
return None
row = line.split(" ")
assert len(row) == size + 1, f"{symbol} table doesn't match size at line {infile.current_line}"
mapping = {}
for i, j in zip(range(size + 1), row):
x = mvalue_from_index(i)
y = parse_mvalue(j)
mapping[(x, )] = y
return ModelFunction(1, mapping, symbol)
def parse_single_dyadic_connective(infile: SourceFile, symbol: str, size: int) -> Optional[ModelFunction]:
try:
first_token = next(infile)
if first_token == "-1":
return None
except StopIteration:
return None
table = []
try:
table = [first_token] + [next(infile) for _ in range((size + 1)**2 - 1)]
except StopIteration:
pass
assert len(table) == (size + 1)**2, f"{symbol} table does not match expected size at line {infile.current_line}"
mapping = {} mapping = {}
table_i = 0 table_i = 0
@ -501,30 +608,7 @@ def parse_single_implication(instr: str, line: int, size: int) -> Tuple[ModelFun
mapping[(x, y)] = r mapping[(x, y)] = r
mimplication = ModelFunction(2, mapping, "") return ModelFunction(2, mapping, symbol)
reststr = " ".join(table[(size + 1)**2:])
return mimplication, reststr
def parse_single_necessitation_from_str(instr: str, line: int, size: int) -> Optional[ModelFunction]:
"""
Parse the line representing the necessitation table.
"""
if instr == "-1":
return None
row = instr.split(" ")
assert len(row) >= size + 1, f"Necessitation table doesn't match size at line {line}"
mapping = {}
for i, j in zip(range(size + 1), row):
x = mvalue_from_index(i)
y = parse_mvalue(j)
mapping[(x, )] = y
mnecessitation = ModelFunction(1, mapping, "!")
reststr = " ".join(row[(size + 1):])
return mnecessitation, reststr
if __name__ == "__main__": if __name__ == "__main__":