mirror of https://github.com/lark-parser/lark.git
Improvements to the Earley parser code
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@ -17,8 +17,8 @@ from functools import cmp_to_key
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from ..utils import compare
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from ..common import ParseError, UnexpectedToken, Terminal
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from .grammar_analysis import GrammarAnalyzer
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from ..tree import Tree, Visitor_NoRecurse, Transformer_NoRecurse
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from .grammar_analysis import GrammarAnalyzer
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class EndToken:
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@ -32,6 +32,8 @@ class Derivation(Tree):
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END_TOKEN = EndToken()
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class Item(object):
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"An Earley Item, the atom of the algorithm."
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def __init__(self, rule, ptr, start, tree):
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self.rule = rule
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self.ptr = ptr
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@ -77,7 +79,7 @@ class NewsList(list):
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class Column:
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"An entry in the table, aka Earley Chart"
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"An entry in the table, aka Earley Chart. Contains lists of items."
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def __init__(self, i):
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self.i = i
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self.to_reduce = NewsList()
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@ -94,7 +96,6 @@ class Column:
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Makes sure only unique items are added.
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"""
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added = self.added
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for item in items:
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if item.is_complete:
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@ -112,8 +113,8 @@ class Column:
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self.completed[item] = item
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self.to_reduce.append(item)
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else:
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if item not in added:
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added.add(item)
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if item not in self.added:
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self.added.add(item)
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if isinstance(item.expect, Terminal):
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self.to_scan.append(item)
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else:
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@ -125,9 +126,9 @@ class Column:
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return bool(self.item_count)
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class Parser:
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def __init__(self, rules, start, callback, resolve_ambiguity=True):
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self.analysis = GrammarAnalyzer(rules, start)
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self.start = start
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def __init__(self, rules, start_symbol, callback, resolve_ambiguity=True):
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self.analysis = GrammarAnalyzer(rules, start_symbol)
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self.start_symbol = start_symbol
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self.resolve_ambiguity = resolve_ambiguity
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self.postprocess = {}
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@ -138,60 +139,57 @@ class Parser:
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self.postprocess[rule] = a if callable(a) else (a and getattr(callback, a))
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self.predictions[rule.origin] = [x.rule for x in self.analysis.expand_rule(rule.origin)]
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def parse(self, stream, start=None):
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def parse(self, stream, start_symbol=None):
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# Define parser functions
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start = start or self.start
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start_symbol = start_symbol or self.start_symbol
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def predict(nonterm, i):
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def predict(nonterm, column):
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assert not isinstance(nonterm, Terminal), nonterm
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return [Item(rule, 0, i, None) for rule in self.predictions[nonterm]]
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return [Item(rule, 0, column, None) for rule in self.predictions[nonterm]]
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def complete(item):
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name = item.rule.origin
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return [i.advance(item.tree) for i in item.start.to_predict if i.expect == name]
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def process_column(i, token, cur_set):
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next_set = Column(i)
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def predict_and_complete(column):
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while True:
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to_predict = {x.expect for x in cur_set.to_predict.get_news()
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to_predict = {x.expect for x in column.to_predict.get_news()
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if x.ptr} # if not part of an already predicted batch
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to_reduce = cur_set.to_reduce.get_news()
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to_reduce = column.to_reduce.get_news()
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if not (to_predict or to_reduce):
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break
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for nonterm in to_predict:
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cur_set.add( predict(nonterm, cur_set) )
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column.add( predict(nonterm, column) )
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for item in to_reduce:
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cur_set.add( complete(item) )
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column.add( complete(item) )
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if token is not END_TOKEN:
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to_scan = cur_set.to_scan.get_news()
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for item in to_scan:
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if item.expect.match(token):
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next_set.add([item.advance(token)])
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def scan(i, token, column):
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to_scan = column.to_scan.get_news()
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if not next_set and token is not END_TOKEN:
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expect = {i.expect for i in cur_set.to_scan}
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next_set = Column(i)
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next_set.add(item.advance(token) for item in to_scan if item.expect.match(token))
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if not next_set:
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expect = {i.expect for i in column.to_scan}
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raise UnexpectedToken(token, expect, stream, i)
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return cur_set, next_set
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return next_set
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# Main loop starts
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column0 = Column(0)
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column0.add(predict(start, column0))
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column0.add(predict(start_symbol, column0))
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cur_set = column0
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i = 0
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for token in stream:
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_, cur_set = process_column(i, token, cur_set)
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i += 1
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column = column0
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for i, token in enumerate(stream):
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predict_and_complete(column)
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column = scan(i, token, column)
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last_set, _ = process_column(i, END_TOKEN, cur_set)
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predict_and_complete(column)
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# Parse ended. Now build a parse tree
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solutions = [n.tree for n in last_set.to_reduce
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if n.rule.origin==start and n.start is column0]
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solutions = [n.tree for n in column.to_reduce
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if n.rule.origin==start_symbol and n.start is column0]
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if not solutions:
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raise ParseError('Incomplete parse: Could not find a solution to input')
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