matmod/parse_magic.py

"""
Parses the Magic Ugly Data File Format

Assumes the base logic is R with no extra connectives
"""
import sys
from typing import TextIO, List, Optional, Tuple, Set, Dict

from model import Model, ModelValue, ModelFunction
from logic import (
    Implication,
    Conjunction,
    Negation,
    Disjunction
)

def parse_matrices(infile: TextIO) -> List[Tuple[Model, Dict]]:
    next(infile) # Skip header line

    solutions: List[Tuple[Model, Dict]] = []

    while True:
        size = parse_size(infile)
        if size is None:
            break

        carrier_set = carrier_set_from_size(size)

        while True:
            mnegation = parse_negation(infile, size)
            if mnegation is None:
                break

            while True:
                result = parse_order(infile, size)
                if result is None:
                    break
                mconjunction, mdisjunction = result

                while True:
                    designated_values = parse_designated(infile, size)
                    if designated_values is None:
                        break

                    while True:
                        result = parse_implication(infile, size)
                        if result is None:
                            break
                        mimplication, hasnext = result

                        logical_operations = {
                            mnegation, mconjunction, mdisjunction,
                            mimplication
                        }
                        model = Model(carrier_set, logical_operations, designated_values)
                        interpretation = {
                            Negation: mnegation,
                            Conjunction: mconjunction,
                            Disjunction: mdisjunction,
                            Implication: mimplication
                        }
                        solutions.append((model, interpretation))
                        print(f"Parsed {len(solutions)} so far")

                        if not hasnext:
                            break
    return solutions

def carrier_set_from_size(size: int):
    return {
        mvalue_from_index(i) for i in range(size + 1)
    }

def parse_size(infile: TextIO) -> Optional[int]:
    # Elements are represented in hexidecimal
    size = int(next(infile), 16)
    if size == -1:
        return None
    assert size > 0, "Unexpected size"
    return size
    
def parse_negation(infile: TextIO, size: int) -> Optional[ModelFunction]:
    line = next(infile).strip()
    if line == '-1':
        return None

    row = line.split(" ")
    assert len(row) == size + 1, "Negation table doesn't match size"
    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, "Negation")


def mvalue_from_index(i: int):
    return ModelValue(f"a{hex(i)[-1]}")

def parse_mvalue(x: str) -> ModelValue:
    return mvalue_from_index(int(x, 16))

def determine_cresult(size: int, ordering: Dict[ModelValue, ModelValue], a: ModelValue, b: ModelValue) -> ModelValue:
    for i in range(size + 1):
        c = mvalue_from_index(i)
        if not ordering[(c, a)]:
            continue
        if not ordering[(c, b)]:
            continue

        invalid = False
        for j in range(size + 1):
            d = mvalue_from_index(j)
            if c == d:
                continue
            if ordering[(c, d)]:
                if ordering[(d, a)] and ordering [(d, b)]:
                    invalid = True
        
        if not invalid:
            return c

    print(a, "&", b, "is not defined")

def determine_dresult(size: int, ordering: Dict[ModelValue, ModelValue], a: ModelValue, b: ModelValue) -> ModelValue:
    for i in range(size + 1):
        c = mvalue_from_index(i)
        if not ordering[(a, c)]:
            continue
        if not ordering[(b, c)]:
            continue
        
        invalid = False

        for j in range(size + 1):
            d = mvalue_from_index(j)
            if d == c:
                continue
            if ordering[(d, c)]:
                if ordering[(a, d)] and ordering[(b, d)]:
                    invalid = True

        if not invalid:
            return c

def parse_order(infile: TextIO, size: int) -> Optional[Tuple[ModelFunction, ModelFunction]]:
    line = next(infile).strip()
    if line == '-1':
        return None 
    
    table = line.split(" ")

    assert len(table) == (size + 1)**2

    omapping = {}
    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)
            omapping[(x, y)] = table[table_i] == '1'
            table_i += 1

    cmapping = {}
    dmapping = {}


    for i in range(size + 1):
        x = mvalue_from_index(i)
        for j in range(size + 1):
            y = mvalue_from_index(j)

            cmapping[(x, y)] = determine_cresult(size, omapping, x, y)
            dmapping[(x, y)] = determine_dresult(size, omapping, x, y)


    mconjunction = ModelFunction(2, cmapping, "Conjunction")
    mdisjunction = ModelFunction(2, dmapping, "Disjunction")

    return mconjunction, mdisjunction

def parse_designated(infile: TextIO, size: int) -> Optional[Set[ModelValue]]:
    line = next(infile).strip()
    if line == '-1':
        return None
    
    row = line.split(" ")
    assert len(row) == size + 1, "Designated table doesn't match size"

    designated_values = set()

    for i, j in zip(range(size + 1), row):
        if j == '1':
            x = mvalue_from_index(i)
            designated_values.add(x)

    return designated_values


def parse_implication(infile: TextIO, size: int) -> Optional[Tuple[ModelFunction, bool]]:
    line = next(infile).strip()
    if line == '-1':
        return None
    
    table = line.split(" ")
    has_next = True
    if table[-1] == '-1':
        has_next = False
        table = table[:-1] 

    assert len(table) == (size + 1)**2

    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, "Implication")
    return mimplication, has_next


if __name__ == "__main__":
    from model import has_vsp

    solutions: List[Model] = parse_matrices(sys.stdin)
    print(f"Parsed {len(solutions)} matrices")
    for model, interpretation in solutions:
        # print(model)
        if has_vsp(model, interpretation):
            print(model)
            print("Has VSP")