Source code for lambeq.bobcat.tree

# Copyright 2021-2024 Cambridge Quantum Computing Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from __future__ import annotations

from dataclasses import dataclass, replace
from enum import Enum
from functools import cached_property
from typing import Any

from lambeq.bobcat.lexicon import Atom, Category, Feature, Relation


@dataclass
class IndexedWord:
    """A word in a sentence, annotated with its position (1-indexed)."""
    word: str
    index: int

    def __repr__(self) -> str:
        return f'{self.word}_{self.index}'


@dataclass
class Dependency:
    relation: Relation
    head: IndexedWord
    var: int
    unary_rule_id: int
    filler: IndexedWord | None = None

    def replace(self,
                var: int,
                unary_rule_id: int | None = None) -> Dependency:
        if unary_rule_id is None:
            unary_rule_id = self.unary_rule_id
        return replace(self, var=var, unary_rule_id=unary_rule_id)

    @classmethod
    def generate(cls,
                 cat: Category,
                 unary_rule_id: int,
                 head: IndexedWord | Variable) -> list[Dependency]:
        if cat.relation:
            if isinstance(head, IndexedWord):
                deps = [cls(cat.relation, head, cat.var, unary_rule_id)]
            else:
                deps = [cls(cat.relation, filler, cat.var, unary_rule_id)
                        for filler in head.fillers]
        else:
            deps = []

        if cat.complex:
            for c in (cat.result, cat.argument):
                deps += cls.generate(c, unary_rule_id, head)
        return deps

    def fill(self, var: Variable) -> list[Dependency]:
        return [Dependency(self.relation,
                           self.head,
                           0,
                           self.unary_rule_id,
                           filler)
                for filler in var.fillers]

    def __str__(self) -> str:
        return (f'{self.head} {self.relation} {self.filler} '
                f'{self.unary_rule_id}')


@dataclass
class Variable:
    fillers: list[IndexedWord]
    filled: bool

    def __init__(self, word: IndexedWord | None = None) -> None:
        if word is not None:
            self.fillers = [word]
        else:
            self.fillers = []
        self.filled = True

    def __add__(self, other: Any) -> Variable:
        ret = Variable()
        ret.fillers = self.fillers + other.fillers
        return ret

    def as_filled(self, filled: bool) -> Variable:
        if filled == self.filled:
            return self

        ret = Variable()
        ret.fillers = self.fillers
        ret.filled = filled
        return ret

    @property
    def filler(self) -> IndexedWord:
        return self.fillers[0]


class Unify:
    def __init__(self,
                 left: ParseTree,
                 right: ParseTree,
                 result_is_left: bool) -> None:
        self.feature = Feature.NONE
        self.num_variables = 1

        self.trans_left: dict[int, int] = {}
        self.trans_right: dict[int, int] = {}
        self.old_left: dict[int, int] = {}
        self.old_right: dict[int, int] = {}

        self.left = left
        self.right = right
        self.result_is_left = result_is_left
        if result_is_left:
            self.res, self.arg = left.cat, right.cat
            self.trans_res, self.trans_arg = self.trans_left, self.trans_right
        else:
            self.arg, self.res = left.cat, right.cat
            self.trans_arg, self.trans_res = self.trans_left, self.trans_right

    def unify(self, arg: Category, res: Category) -> bool:
        if self.result_is_left:
            left, right = res, arg
        else:
            left, right = arg, res

        if not self.unify_recursive(left, right):
            return False

        self.add_vars(self.arg, self.trans_arg)
        self.add_vars(self.res, self.trans_res)

        return True

    def unify_recursive(self, left: Category, right: Category) -> bool:
        if left.atomic:
            if left.atom != right.atom:
                return False

            if left.atom == Atom.S:
                if left.feature == Feature.X:
                    self.feature = right.feature
                elif right.feature == Feature.X:
                    self.feature = left.feature
                elif left.feature != right.feature:
                    return False
        else:
            if not (left.dir == right.dir
                    and self.unify_recursive(left.result, right.result)
                    and self.unify_recursive(left.argument, right.argument)):
                return False

        if (left.var not in self.trans_left
                and right.var not in self.trans_right):
            try:
                v1 = self.left.var_map[left.var]
                v2 = self.right.var_map[right.var]
            except KeyError:
                pass
            else:
                if v1.filled and v2.filled:
                    return False

            self.trans_left[left.var] = self.num_variables
            self.trans_right[right.var] = self.num_variables
            self.old_left[self.num_variables] = left.var
            self.old_right[self.num_variables] = right.var

            self.num_variables += 1

        return True

    def add_vars(self, cat: Category, trans: dict[int, int]) -> None:
        old = self.old_left if trans is self.trans_left else self.old_right
        for var in cat.vars:
            if var not in trans:
                trans[var] = self.num_variables
                old[self.num_variables] = var

                self.num_variables += 1

    def get_new_outer_var(self) -> int:
        return self.trans_left.get(self.left.cat.var, 0)

    def translate_arg(self, category: Category) -> Category:
        return category.translate(self.trans_arg, self.feature)

    def translate_res(self, category: Category) -> Category:
        return category.translate(self.trans_res, self.feature)


class Rule(Enum):
    """The possible CCG rules."""
    NONE = 0
    L = 1
    U = 2
    BA = 3
    FA = 4
    BC = 5
    FC = 6
    BX = 7
    GBC = 8
    GFC = 9
    GBX = 10
    LP = 11
    RP = 12
    BTR = 13
    FTR = 14
    CONJ = 15
    ADJ_CONJ = 16


[docs] @dataclass class ParseTree: rule: Rule cat: Category left: ParseTree right: ParseTree unfilled_deps: list[Dependency] filled_deps: list[Dependency] var_map: dict[int, Variable] score: float = 0 @property def word(self) -> str: if self.is_leaf: return self.variable.filler.word else: raise AttributeError('only leaves have words') @property def variable(self) -> Variable: try: return self.var_map[self.cat.var] except KeyError as e: raise AttributeError('variable is not in map') from e @property def is_leaf(self) -> bool: return self.rule == Rule.L @property def coordinated_or_type_raised(self) -> bool: return self.rule in (Rule.CONJ, Rule.BTR, Rule.FTR) @property def coordinated(self) -> bool: return self.rule == Rule.CONJ @property def bwd_comp(self) -> bool: return self.rule in (Rule.BC, Rule.GBC) @property def fwd_comp(self) -> bool: return self.rule in (Rule.FC, Rule.GFC) @cached_property def deps_and_tags(self) -> tuple[list[Dependency], list[str]]: # pragma: no cover deps = self.filled_deps.copy() tags = [] if self.left: for child in (self.left, self.right): if child: child_deps, child_tags = child.deps_and_tags deps += child_deps tags += child_tags else: tags.append(str(self.cat).replace('[X]', '')) deps.sort(key=lambda dep: (dep.head.index, dep.filler.index)) return deps, tags @property def deps(self) -> list[Dependency]: return self.deps_and_tags[0]
def Lexical(cat: Category, word: str, index: int) -> ParseTree: head = IndexedWord(word, index) unfilled_deps = Dependency.generate(cat, 0, head) assert cat.var var_map = {cat.var: Variable(head)} return ParseTree(Rule.L, cat, None, None, unfilled_deps, [], var_map) def Coordination(cat: Category, left: ParseTree, right: ParseTree) -> ParseTree: var_map = {k: v.as_filled(False) for k, v in right.var_map.items()} unfilled_deps = right.unfilled_deps.copy() try: var = right.variable except AttributeError: pass else: if var.filled: unfilled_deps.append(Dependency(Relation.CONJ, left.variable.filler, cat.argument.var, 0)) return ParseTree(Rule.CONJ, cat, left, right, unfilled_deps, [], var_map) def TypeChanging(rule: Rule, cat: Category, left: ParseTree, right: ParseTree, unary_rule_id: int, replace: bool) -> ParseTree: head = left if rule != Rule.LP else right try: outer_var = head.variable except AttributeError: outer_var = None unfilled_deps = [] if replace: new_var = (cat.argument.argument.var if Category.parse(r'(S\NP)\(S\NP)').matches(cat) else cat.argument.var) unfilled_deps = [d.replace(new_var, unary_rule_id) for d in head.unfilled_deps if d.var == head.cat.argument.var] elif outer_var: unfilled_deps = Dependency.generate(cat, unary_rule_id, outer_var) if cat.var and outer_var: var_map = {cat.var: outer_var} else: var_map = {} return ParseTree(rule, cat, left, right, unfilled_deps, [], var_map) def PassThrough(rule: Rule, left: ParseTree, right: ParseTree, passthrough: ParseTree) -> ParseTree: return ParseTree(rule, passthrough.cat, left, right, passthrough.unfilled_deps, [], passthrough.var_map) def LeftPunct(left: ParseTree, right: ParseTree) -> ParseTree: return PassThrough(Rule.LP, left, right, right) def RightPunct(left: ParseTree, right: ParseTree) -> ParseTree: return PassThrough(Rule.RP, left, right, left) def AdjectivalConj(left: ParseTree, right: ParseTree) -> ParseTree: return PassThrough(Rule.ADJ_CONJ, left, right, right) def TypeRaising(cat: Category, left: ParseTree) -> ParseTree: if cat.type_raising_dep_var: unfilled_deps = [dep.replace(cat.type_raising_dep_var) for dep in left.unfilled_deps] else: unfilled_deps = [] try: var_map = {1: left.variable} except AttributeError: var_map = {} rule = Rule.FTR if cat.fwd else Rule.BTR return ParseTree(rule, cat, left, None, unfilled_deps, [], var_map) def BinaryCombinator(rule: Rule, cat: Category, left: ParseTree, right: ParseTree, unification: Unify) -> ParseTree: var_map = {} for i in range(1, unification.num_variables): left_var = left.var_map.get(unification.old_left.get(i)) right_var = right.var_map.get(unification.old_right.get(i)) if left_var is not None and right_var is not None: var_map[i] = left_var + right_var elif left_var is not None: var_map[i] = left_var.as_filled(True) elif right_var is not None: var_map[i] = right_var.as_filled(True) var_ids = [] for dep in left.unfilled_deps: try: var_ids.append((dep, unification.trans_left[dep.var])) except KeyError: continue for dep in right.unfilled_deps: try: var_ids.append((dep, unification.trans_right[dep.var])) except KeyError: continue unfilled_deps = [] filled_deps = [] for dep, v in var_ids: var = var_map.get(v, None) if var is not None and var.filled: filled_deps += dep.fill(var) else: unfilled_deps.append(dep.replace(v)) return ParseTree( rule, cat, left, right, unfilled_deps, filled_deps, var_map)