mirror of
https://github.com/Brandon-Rozek/matmod.git
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Support Custom Connectives
This commit is contained in:
commit
7b93a9ff35
1 changed files with 337 additions and 211 deletions
528
parse_magic.py
528
parse_magic.py
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@ -4,6 +4,7 @@ Parses the Magic Ugly Data File Format
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Assumes the base logic is R with no extra connectives
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Assumes the base logic is R with no extra connectives
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"""
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"""
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import argparse
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import argparse
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import re
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import sys
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import sys
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from typing import TextIO, List, Optional, Tuple, Set, Dict
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from typing import TextIO, List, Optional, Tuple, Set, Dict
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@ -13,7 +14,8 @@ from logic import (
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Conjunction,
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Conjunction,
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Negation,
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Negation,
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Necessitation,
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Necessitation,
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Disjunction
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Disjunction,
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Operation
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)
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)
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from vsp import has_vsp
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from vsp import has_vsp
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@ -21,161 +23,320 @@ class SourceFile:
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def __init__(self, fileobj: TextIO):
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def __init__(self, fileobj: TextIO):
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self.fileobj = fileobj
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self.fileobj = fileobj
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self.current_line = 0
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self.current_line = 0
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self.reststr = ""
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def __next__(self):
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def next_line(self):
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contents = next(self.fileobj)
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"""
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Grabs the next line.
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If reststr is populated return that, otherwise
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consume generator
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"""
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if self.reststr != "":
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reststr = self.reststr
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self.reststr = ""
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return reststr
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contents = next(self.fileobj).strip()
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self.current_line += 1
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self.current_line += 1
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return contents
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return contents
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def __next__(self):
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"""
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Grabs the next word token from the stream
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"""
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if self.reststr == "":
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self.reststr = next(self.fileobj).strip()
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self.current_line += 1
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tokens = self.reststr.split(" ")
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next_token = tokens[0]
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self.reststr = " ".join(tokens[1:])
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return next_token
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class UglyHeader:
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class UglyHeader:
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def __init__(self, negation: bool, necessitation: bool):
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def __init__(self, negation: bool, necessitation: bool, custom_model_functions: List[Tuple[int, str]]):
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# Booleans describing the logical fragment
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self.negation = negation
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self.negation = negation
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self.necessitation = necessitation
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self.necessitation = necessitation
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# List of custom model functions described as
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# a sequence of (adicity, symbol) pairs
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self.custom_model_functions = custom_model_functions
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class ModelBuilder:
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class ModelBuilder:
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def __init__(self):
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def __init__(self):
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self.size : int = 0
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self.size : int = 0
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self.carrier_set : Set[ModelValue] = set()
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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.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.mconjunction: Optional[ModelFunction] = None
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self.mdisjunction: 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.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.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.mnecessitation: Optional[ModelFunction] = None
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# Map symbol to model function
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self.custom_model_functions: Dict[str, ModelFunction] = {}
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class Stage:
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def __init__(self, name: str):
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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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# This corresponds to a portion of the model name in MaGIC
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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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end_stage = Stage("end")
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self.stages: Dict[str, Stage] = {"end": end_stage}
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self.last_added_stage: Stage = end_stage
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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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stage.previous = self.last_added_stage
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# End stage is a sink so don't
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# mark any stages as next
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if self.last_added_stage.name != "end":
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self.last_added_stage.next = stage
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else:
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# If this is triggered, than this is the first
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# stage added
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self.first_stage = stage
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self.stages[name] = stage
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self.last_added_stage = stage
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def reset_after(self, name):
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"""
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Resets the stage counters after a given stage.
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This is to accurately reflect the name of the
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model within MaGIC.
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"""
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stage = self.stages[name]
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while stage.name != "process_model":
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stage.reset()
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stage = 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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if header.negation:
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stages.add("negation")
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stages.add("order")
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stages.add("designated")
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stages.add("implication")
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if header.necessitation:
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stages.add("necessitation")
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for (adicity, symbol) in header.custom_model_functions:
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stages.add(f"custom--{adicity}--{symbol}")
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stages.add("process_model")
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# After processing the model, go to the previous stage
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stages.get("process_model").next = stages.get("process_model").previous
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return stages
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def parse_matrices(infile: SourceFile) -> List[Tuple[Model, Dict]]:
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def parse_matrices(infile: SourceFile) -> List[Tuple[Model, Dict]]:
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solutions = [] # Reset
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solutions = []
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header = parse_header(infile)
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header = parse_header(infile)
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stages = derive_stages(header)
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first_run = True
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current_model_parts = ModelBuilder()
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current_model_parts = ModelBuilder()
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process_sizes(infile, header, current_model_parts, solutions)
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stage = stages.first_stage
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while True:
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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(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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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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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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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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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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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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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 = process_custom_connective(infile, symbol, adicity, current_model_parts)
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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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return solutions
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def process_sizes(infile: SourceFile, header: UglyHeader, current_model_parts: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
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def process_sizes(infile: SourceFile, current_model_parts: ModelBuilder, first_run: bool) -> bool:
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"""Stage 1"""
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first_run = True
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while True:
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print("Processing next size")
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try:
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try:
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size = parse_size(infile, first_run)
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size = parse_size(infile, first_run)
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first_run = False
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except StopIteration:
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except StopIteration:
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# For some reason, when necessitation is enabled this doesn't
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return False
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# have a -1 on the last line
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break
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if size is None:
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if size is None:
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break
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return False
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carrier_set = carrier_set_from_size(size)
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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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current_model_parts.carrier_set = carrier_set
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process_negations(infile, header, current_model_parts, solutions)
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current_model_parts.size = size
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def process_negations(infile: SourceFile, header: UglyHeader, current_model_parts: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
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return True
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def process_negations(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
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"""Stage 2 (Optional)"""
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"""Stage 2 (Optional)"""
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num_negation = 0
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mnegation = parse_single_monadic_connective(infile, "¬", current_model_parts.size)
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while True:
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print("Processing next negation")
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mnegation = None
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if header.negation:
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mnegation = parse_single_negation(infile, current_model_parts.size)
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if mnegation is None:
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if mnegation is None:
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break
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return False
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num_negation += 1
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current_model_parts.num_negation = num_negation
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current_model_parts.mnegation = mnegation
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current_model_parts.mnegation = mnegation
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return True
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process_orders(infile, header, current_model_parts, solutions)
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def process_orders(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
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if not header.negation:
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break
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def process_orders(infile: SourceFile, header: UglyHeader, current_model_parts: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
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"""Stage 3"""
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"""Stage 3"""
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num_order = 0
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while True:
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print("Processing next order")
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result = parse_single_order(infile, current_model_parts.size)
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result = parse_single_order(infile, current_model_parts.size)
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if result is None:
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if result is None:
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break
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return False
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num_order += 1
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mconjunction, mdisjunction = result
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mconjunction, mdisjunction = result
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current_model_parts.num_order = num_order
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current_model_parts.mconjunction = mconjunction
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current_model_parts.mconjunction = mconjunction
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current_model_parts.mdisjunction = mdisjunction
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current_model_parts.mdisjunction = mdisjunction
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process_designateds(infile, header, current_model_parts, solutions)
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def process_designateds(infile: SourceFile, header: UglyHeader, current_model_parts: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
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return True
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def process_designateds(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
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"""Stage 4"""
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"""Stage 4"""
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num_designated = 0
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while True:
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print("Processing next designated")
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designated_values = parse_single_designated(infile, current_model_parts.size)
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designated_values = parse_single_designated(infile, current_model_parts.size)
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if designated_values is None:
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if designated_values is None:
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break
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return False
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num_designated += 1
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current_model_parts.num_designated = num_designated
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current_model_parts.designated_values = designated_values
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current_model_parts.designated_values = designated_values
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process_implications(infile, header, current_model_parts, solutions)
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return True
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def process_implications(
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def process_implications(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
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infile: SourceFile, header: UglyHeader, current_model_parts: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
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"""Stage 5"""
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"""Stage 5"""
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if header.necessitation:
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mimplication = parse_single_dyadic_connective(infile, "→", current_model_parts.size)
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num_implication = 0
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while True:
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print("Processing next implication")
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instr = next(infile).strip()
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mimplication, reststr = parse_single_implication(instr, infile.current_line, current_model_parts.size)
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if mimplication is None:
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if mimplication is None:
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break
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return False
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num_implication += 1
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|
||||||
current_model_parts.num_implication = num_implication
|
|
||||||
current_model_parts.mimplication = mimplication
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current_model_parts.mimplication = mimplication
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process_necessitations(infile, reststr, header, current_model_parts, solutions)
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return True
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else:
|
|
||||||
results = parse_implications(infile, current_model_parts.size)
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|
||||||
for num_implication, mimplication in enumerate(results, 1):
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|
||||||
current_model_parts.num_implication = num_implication
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|
||||||
current_model_parts.mimplication = mimplication
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|
||||||
process_model(current_model_parts, solutions)
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|
||||||
|
|
||||||
def process_necessitations(infile: SourceFile, instr: str, header: UglyHeader, current_model_parts: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
|
def process_necessitations(infile: SourceFile, current_model_parts: ModelBuilder) -> bool:
|
||||||
|
mnecessitation = parse_single_monadic_connective(infile, "!", current_model_parts.size)
|
||||||
# NOTE: For some reason, one necessitation table will be on the same line as the implication table
|
|
||||||
mnecessitation = parse_single_necessitation_from_str(instr, infile.current_line, current_model_parts.size)
|
|
||||||
assert mnecessitation is not None, f"Expected Necessitation Table at line {infile.current_line}"
|
|
||||||
num_necessitation = 1
|
|
||||||
|
|
||||||
current_model_parts.num_necessitation = num_necessitation
|
|
||||||
current_model_parts.mnecessitation = mnecessitation
|
|
||||||
process_model(current_model_parts, solutions)
|
|
||||||
|
|
||||||
while True:
|
|
||||||
print("Processing next necessitation")
|
|
||||||
mnecessitation = parse_single_necessitation(infile, current_model_parts.size)
|
|
||||||
if mnecessitation is None:
|
if mnecessitation is None:
|
||||||
break
|
return False
|
||||||
num_necessitation += 1
|
|
||||||
|
|
||||||
current_model_parts.num_necessitation = num_necessitation
|
|
||||||
current_model_parts.mnecessitation = mnecessitation
|
current_model_parts.mnecessitation = mnecessitation
|
||||||
process_model(current_model_parts, solutions)
|
return True
|
||||||
|
|
||||||
def process_model(mp: ModelBuilder, solutions: List[Tuple[Model, Dict]]):
|
def process_custom_connective(infile: SourceFile, symbol: str, adicity: int, current_model_parts: ModelBuilder) -> bool:
|
||||||
|
if adicity == 0:
|
||||||
|
mfunction = parse_single_nullary_connective(infile, symbol)
|
||||||
|
elif adicity == 1:
|
||||||
|
mfunction = parse_single_monadic_connective(infile, symbol, current_model_parts.size)
|
||||||
|
elif adicity == 2:
|
||||||
|
mfunction = parse_single_dyadic_connective(infile, symbol, current_model_parts.size)
|
||||||
|
else:
|
||||||
|
raise NotImplementedError("Unable to process connectives of adicity greater than 2")
|
||||||
|
|
||||||
|
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.size > 0
|
||||||
|
assert mp.size + 1 == len(mp.carrier_set)
|
||||||
|
assert len(mp.designated_values) <= len(mp.carrier_set)
|
||||||
assert mp.mimplication is not None
|
assert mp.mimplication is not None
|
||||||
assert len(mp.carrier_set) > 0
|
|
||||||
|
|
||||||
logical_operations = { mp.mimplication }
|
logical_operations = { mp.mimplication }
|
||||||
model_name = f"{mp.size}{'.' + 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
|
||||||
|
@ -193,23 +354,34 @@ 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)
|
||||||
|
op = Operation(custom_mf.operation_name, custom_mf.arity)
|
||||||
|
interpretation[op] = custom_mf
|
||||||
|
|
||||||
solutions.append((model, interpretation))
|
solutions.append((model, interpretation))
|
||||||
print(f"Parsed Matrix {model.name}")
|
|
||||||
|
|
||||||
def parse_header(infile: SourceFile) -> UglyHeader:
|
def parse_header(infile: SourceFile) -> UglyHeader:
|
||||||
"""
|
"""
|
||||||
Parse the header line from the ugly data format.
|
Parse the header line from the ugly data format.
|
||||||
NOTE: Currently Incomplete.
|
|
||||||
"""
|
"""
|
||||||
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"]
|
||||||
|
assert len(header_tokens) >= 7
|
||||||
negation_defined = bool(int(header_tokens[0]))
|
negation_defined = bool(int(header_tokens[0]))
|
||||||
necessitation_defined = bool(int(header_tokens[6]))
|
necessitation_defined = bool(int(header_tokens[6]))
|
||||||
return UglyHeader(negation_defined, necessitation_defined)
|
num_custom_connectives = int(header_tokens[7])
|
||||||
|
custom_model_functions: List[Tuple[int, str]] = []
|
||||||
|
for i in range(num_custom_connectives):
|
||||||
|
arity = int(header_tokens[7 + (2 * i) + 1])
|
||||||
|
symbol = header_tokens[7 + (2 * i) + 2]
|
||||||
|
custom_model_functions.append((arity, symbol))
|
||||||
|
return UglyHeader(negation_defined, necessitation_defined, custom_model_functions)
|
||||||
|
|
||||||
def carrier_set_from_size(size: int):
|
def carrier_set_from_size(size: int) -> Set[ModelValue]:
|
||||||
"""
|
"""
|
||||||
Construct a carrier set of model values
|
Construct a carrier set of model values
|
||||||
based on the desired size.
|
based on the desired size.
|
||||||
|
@ -222,37 +394,21 @@ 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))
|
|
||||||
# HACK: The first size line may be -1 due to a bug. Skip it
|
size = int(infile.next_line())
|
||||||
if size == -1 and first_run:
|
|
||||||
size = int(next(infile))
|
# HACK: When necessitation and custom connectives are enabled
|
||||||
|
# MaGIC may produce -1s at the beginning of the file
|
||||||
|
if first_run:
|
||||||
|
while size == -1:
|
||||||
|
size = int(infile.next_line())
|
||||||
|
|
||||||
if size == -1:
|
if size == -1:
|
||||||
return None
|
return None
|
||||||
assert size > 0, f"Unexpected size at line {infile.current_line}"
|
assert size > 0, f"Unexpected size at line {infile.current_line}"
|
||||||
return size
|
return size
|
||||||
|
|
||||||
def parse_single_negation(infile: SourceFile, size: int) -> Optional[ModelFunction]:
|
def mvalue_from_index(i: int) -> ModelValue:
|
||||||
"""
|
|
||||||
Parse the line representing the negation table.
|
|
||||||
"""
|
|
||||||
line = next(infile).strip()
|
|
||||||
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):
|
|
||||||
"""
|
"""
|
||||||
Given an index, return the
|
Given an index, return the
|
||||||
representation of the model value.
|
representation of the model value.
|
||||||
|
@ -317,7 +473,7 @@ 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
|
||||||
|
|
||||||
|
@ -338,7 +494,6 @@ def parse_single_order(infile: SourceFile, size: int) -> Optional[Tuple[ModelFun
|
||||||
cmapping = {}
|
cmapping = {}
|
||||||
dmapping = {}
|
dmapping = {}
|
||||||
|
|
||||||
|
|
||||||
for i in range(size + 1):
|
for i in range(size + 1):
|
||||||
x = mvalue_from_index(i)
|
x = mvalue_from_index(i)
|
||||||
for j in range(size + 1):
|
for j in range(size + 1):
|
||||||
|
@ -368,7 +523,7 @@ 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
|
||||||
|
|
||||||
|
@ -385,77 +540,25 @@ 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_nullary_connective(infile: SourceFile, symbol: str) -> Optional[ModelFunction]:
|
||||||
"""
|
line = infile.next_line()
|
||||||
Take the current string, parse an implication table from it,
|
if line == "-1":
|
||||||
and return along with it the remainder of the string
|
|
||||||
"""
|
|
||||||
if instr == "-1":
|
|
||||||
return None, ""
|
|
||||||
|
|
||||||
table = instr.split(" ")
|
|
||||||
|
|
||||||
assert len(table) >= (size + 1)**2, f"Implication table does not match expected size at line {line}"
|
|
||||||
|
|
||||||
mapping = {}
|
|
||||||
table_i = 0
|
|
||||||
for i in range(size + 1):
|
|
||||||
x = mvalue_from_index(i)
|
|
||||||
for j in range(size + 1):
|
|
||||||
y = mvalue_from_index(j)
|
|
||||||
|
|
||||||
r = parse_mvalue(table[table_i])
|
|
||||||
table_i += 1
|
|
||||||
|
|
||||||
mapping[(x, y)] = r
|
|
||||||
|
|
||||||
mimplication = ModelFunction(2, mapping, "→")
|
|
||||||
reststr = " ".join(table[(size + 1)**2:])
|
|
||||||
return mimplication, reststr
|
|
||||||
|
|
||||||
|
|
||||||
def parse_implications(infile: SourceFile, size: int) -> List[ModelFunction]:
|
|
||||||
"""
|
|
||||||
Parse the line representing the list of implication
|
|
||||||
tables.
|
|
||||||
"""
|
|
||||||
line = next(infile).strip()
|
|
||||||
|
|
||||||
# Split and remove the last '-1' character
|
|
||||||
table = line.split(" ")[:-1]
|
|
||||||
|
|
||||||
assert len(table) % (size + 1)**2 == 0, f"Implication table does not match expected size at line {infile.current_line}"
|
|
||||||
|
|
||||||
table_i = 0
|
|
||||||
mimplications: List[ModelFunction] = []
|
|
||||||
|
|
||||||
for _ in range(len(table) // (size + 1)**2):
|
|
||||||
mapping = {}
|
|
||||||
|
|
||||||
for i in range(size + 1):
|
|
||||||
x = mvalue_from_index(i)
|
|
||||||
for j in range(size + 1):
|
|
||||||
y = mvalue_from_index(j)
|
|
||||||
|
|
||||||
r = parse_mvalue(table[table_i])
|
|
||||||
table_i += 1
|
|
||||||
|
|
||||||
mapping[(x, y)] = r
|
|
||||||
|
|
||||||
mimplication = ModelFunction(2, mapping, "→")
|
|
||||||
mimplications.append(mimplication)
|
|
||||||
|
|
||||||
return mimplications
|
|
||||||
|
|
||||||
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
|
return None
|
||||||
|
|
||||||
row = instr.split(" ")
|
row = line.split(" ")
|
||||||
assert len(row) == size + 1, f"Necessitation table doesn't match size at line {line}"
|
assert len(row) == 1, f"More than one assignment for a nullary connective was provided at line {infile.current_line}"
|
||||||
|
|
||||||
|
mapping = {}
|
||||||
|
mapping[()] = parse_mvalue(row[0])
|
||||||
|
return ModelFunction(0, mapping, symbol)
|
||||||
|
|
||||||
|
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 = {}
|
mapping = {}
|
||||||
|
|
||||||
for i, j in zip(range(size + 1), row):
|
for i, j in zip(range(size + 1), row):
|
||||||
|
@ -463,11 +566,34 @@ def parse_single_necessitation_from_str(instr: str, line: int, size: int) -> Opt
|
||||||
y = parse_mvalue(j)
|
y = parse_mvalue(j)
|
||||||
mapping[(x, )] = y
|
mapping[(x, )] = y
|
||||||
|
|
||||||
return ModelFunction(1, mapping, "!")
|
return ModelFunction(1, mapping, symbol)
|
||||||
|
|
||||||
def parse_single_necessitation(infile: SourceFile, size: int) -> Optional[ModelFunction]:
|
def parse_single_dyadic_connective(infile: SourceFile, symbol: str, size: int) -> Optional[ModelFunction]:
|
||||||
line = next(infile).strip()
|
first_token = next(infile)
|
||||||
return parse_single_necessitation_from_str(line, infile.current_line, size)
|
if first_token == "-1":
|
||||||
|
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 = {}
|
||||||
|
table_i = 0
|
||||||
|
for i in range(size + 1):
|
||||||
|
x = mvalue_from_index(i)
|
||||||
|
for j in range(size + 1):
|
||||||
|
y = mvalue_from_index(j)
|
||||||
|
|
||||||
|
r = parse_mvalue(table[table_i])
|
||||||
|
table_i += 1
|
||||||
|
|
||||||
|
mapping[(x, y)] = r
|
||||||
|
|
||||||
|
return ModelFunction(2, mapping, symbol)
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
|
|
Loading…
Reference in a new issue