mirror of
https://github.com/Brandon-Rozek/matmod.git
synced 2024-11-08 21:20:33 -05:00
Updates
- Fixed VSP check - Parse magic output files disregarding header row - TODO: Fix parsing multiple implication tables in a row
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parent
ff666c326e
commit
cf636eb7fd
2 changed files with 249 additions and 3 deletions
7
model.py
7
model.py
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@ -59,7 +59,7 @@ class ModelFunction:
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for k, v in self.mapping.items():
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inputstr = "(" + ", ".join(str(ki) for ki in k) + ")"
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str_dict[inputstr] = str(v)
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return str(str_dict)
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return self.operation_name + " " + str(str_dict)
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def __call__(self, *args):
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return self.mapping[args]
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@ -247,10 +247,13 @@ def has_vsp(model: Model, interpretation: Dict[Operation, ModelFunction]) -> boo
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if len(carrier_set_left & carrier_set_right) > 0:
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continue
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invalid = False
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for (x2, y2) in product(carrier_set_left, carrier_set_right):
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if impfunction(x2, y2) in model.designated_values:
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continue
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invalid = True
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break
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if not invalid:
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return True
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return False
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243
parse_magic.py
Normal file
243
parse_magic.py
Normal file
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@ -0,0 +1,243 @@
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"""
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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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"""
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import sys
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from typing import TextIO, List, Optional, Tuple, Set, Dict
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from model import Model, ModelValue, ModelFunction
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from logic import (
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Implication,
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Conjunction,
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Negation,
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Disjunction
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)
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def parse_matrices(infile: TextIO) -> List[Tuple[Model, Dict]]:
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next(infile) # Skip header line
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solutions: List[Tuple[Model, Dict]] = []
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while True:
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size = parse_size(infile)
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if size is None:
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break
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carrier_set = carrier_set_from_size(size)
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while True:
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mnegation = parse_negation(infile, size)
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if mnegation is None:
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break
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while True:
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result = parse_order(infile, size)
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if result is None:
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break
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mconjunction, mdisjunction = result
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while True:
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designated_values = parse_designated(infile, size)
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if designated_values is None:
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break
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while True:
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result = parse_implication(infile, size)
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if result is None:
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break
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mimplication, hasnext = result
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logical_operations = {
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mnegation, mconjunction, mdisjunction,
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mimplication
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}
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model = Model(carrier_set, logical_operations, designated_values)
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interpretation = {
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Negation: mnegation,
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Conjunction: mconjunction,
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Disjunction: mdisjunction,
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Implication: mimplication
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}
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solutions.append((model, interpretation))
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print(f"Parsed {len(solutions)} so far")
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if not hasnext:
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break
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return solutions
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def carrier_set_from_size(size: int):
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return {
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mvalue_from_index(i) for i in range(size + 1)
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}
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def parse_size(infile: TextIO) -> Optional[int]:
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# Elements are represented in hexidecimal
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size = int(next(infile), 16)
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if size == -1:
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return None
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assert size > 0, "Unexpected size"
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return size
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def parse_negation(infile: TextIO, size: int) -> Optional[ModelFunction]:
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line = next(infile).strip()
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if line == '-1':
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return None
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row = line.split(" ")
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assert len(row) == size + 1, "Negation table doesn't match size"
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mapping = {}
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for i, j in zip(range(size + 1), row):
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x = mvalue_from_index(i)
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y = parse_mvalue(j)
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mapping[(x, )] = y
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return ModelFunction(1, mapping, "Negation")
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def mvalue_from_index(i: int):
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return ModelValue(f"a{hex(i)[-1]}")
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def parse_mvalue(x: str) -> ModelValue:
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return mvalue_from_index(int(x, 16))
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def determine_cresult(size: int, ordering: Dict[ModelValue, ModelValue], a: ModelValue, b: ModelValue) -> ModelValue:
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for i in range(size + 1):
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c = mvalue_from_index(i)
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if not ordering[(c, a)]:
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continue
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if not ordering[(c, b)]:
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continue
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invalid = False
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for j in range(size + 1):
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d = mvalue_from_index(j)
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if c == d:
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continue
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if ordering[(c, d)]:
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if ordering[(d, a)] and ordering [(d, b)]:
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invalid = True
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if not invalid:
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return c
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print(a, "&", b, "is not defined")
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def determine_dresult(size: int, ordering: Dict[ModelValue, ModelValue], a: ModelValue, b: ModelValue) -> ModelValue:
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for i in range(size + 1):
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c = mvalue_from_index(i)
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if not ordering[(a, c)]:
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continue
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if not ordering[(b, c)]:
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continue
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invalid = False
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for j in range(size + 1):
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d = mvalue_from_index(j)
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if d == c:
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continue
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if ordering[(d, c)]:
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if ordering[(a, d)] and ordering[(b, d)]:
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invalid = True
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if not invalid:
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return c
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def parse_order(infile: TextIO, size: int) -> Optional[Tuple[ModelFunction, ModelFunction]]:
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line = next(infile).strip()
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if line == '-1':
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return None
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table = line.split(" ")
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assert len(table) == (size + 1)**2
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omapping = {}
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table_i = 0
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for i in range(size + 1):
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x = mvalue_from_index(i)
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for j in range(size + 1):
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y = mvalue_from_index(j)
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omapping[(x, y)] = table[table_i] == '1'
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table_i += 1
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cmapping = {}
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dmapping = {}
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for i in range(size + 1):
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x = mvalue_from_index(i)
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for j in range(size + 1):
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y = mvalue_from_index(j)
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cmapping[(x, y)] = determine_cresult(size, omapping, x, y)
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dmapping[(x, y)] = determine_dresult(size, omapping, x, y)
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mconjunction = ModelFunction(2, cmapping, "Conjunction")
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mdisjunction = ModelFunction(2, dmapping, "Disjunction")
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return mconjunction, mdisjunction
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def parse_designated(infile: TextIO, size: int) -> Optional[Set[ModelValue]]:
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line = next(infile).strip()
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if line == '-1':
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return None
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row = line.split(" ")
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assert len(row) == size + 1, "Designated table doesn't match size"
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designated_values = set()
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for i, j in zip(range(size + 1), row):
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if j == '1':
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x = mvalue_from_index(i)
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designated_values.add(x)
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return designated_values
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def parse_implication(infile: TextIO, size: int) -> Optional[Tuple[ModelFunction, bool]]:
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line = next(infile).strip()
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if line == '-1':
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return None
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table = line.split(" ")
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has_next = True
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if table[-1] == '-1':
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has_next = False
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table = table[:-1]
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assert len(table) == (size + 1)**2
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mapping = {}
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table_i = 0
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for i in range(size + 1):
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x = mvalue_from_index(i)
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for j in range(size + 1):
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y = mvalue_from_index(j)
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r = parse_mvalue(table[table_i])
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table_i += 1
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mapping[(x, y)] = r
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mimplication = ModelFunction(2, mapping, "Implication")
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return mimplication, has_next
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if __name__ == "__main__":
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from model import has_vsp
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solutions: List[Model] = parse_matrices(sys.stdin)
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print(f"Parsed {len(solutions)} matrices")
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for model, interpretation in solutions:
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# print(model)
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if has_vsp(model, interpretation):
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print(model)
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print("Has VSP")
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