| @@ -154,10 +154,10 @@ These features may be implemented some day: | |||
| | Code | CPython Time | PyPy Time | CPython Mem | PyPy Mem | |||
| |:-----|:-------------|:------------|:----------|:--------- | |||
| | **Lark - LALR(1)** | 4.2s | 1.1s | 0.4M | 0.3M | | |||
| | PyParsing | 32s | 4.1s | 0.4M | 0.2M | | |||
| | funcparserlib | 11s | 1.9s | 0.5M | 0.3M | | |||
| | Parsimonious | | 7s | | 1.4M | | |||
| | **Lark - LALR(1)** | 4.7s | 1.2s | 70M | 134M | | |||
| | PyParsing | 32s | 3.5s | 443M | 225M | | |||
| | funcparserlib | 8.5s | 1.3s | 483M | 293M | | |||
| | Parsimonious | | 5.7s | | 1545M | | |||
| Check out the [JSON tutorial](/docs/json_tutorial.md#conclusion) for more details on how the comparison was made. | |||
| @@ -327,7 +327,7 @@ class TreeToJson(Transformer): | |||
| true = lambda self, _: True | |||
| false = lambda self, _: False | |||
| json_parser = Lark(json_grammar, start='value') | |||
| json_parser = Lark(json_grammar, start='value', lexer='standard') | |||
| if __name__ == '__main__': | |||
| with open(sys.argv[1]) as f: | |||
| @@ -419,12 +419,13 @@ I measured memory consumption using a little script called [memusg](https://gist | |||
| | Code | CPython Time | PyPy Time | CPython Mem | PyPy Mem | |||
| |:-----|:-------------|:------------|:----------|:--------- | |||
| | Lark - Earley | 36s | 4.3s | 6.2M | 1.2M | | |||
| | Lark - LALR(1) | 7s | 1.3s | 0.6M | 0.3M | | |||
| | Lark - LALR(1) tree-less | 4.2s | 1.1s | 0.4M | 0.3M | | |||
| | PyParsing ([Parser](http://pyparsing.wikispaces.com/file/view/jsonParser.py)) | 32s | 4.1s | 0.4M | 0.2M | | |||
| | funcparserlib ([Parser](https://github.com/vlasovskikh/funcparserlib/blob/master/funcparserlib/tests/json.py)) | 11s | 1.9s | 0.5M | 0.3M | | |||
| | Parsimonious ([Parser](https://gist.githubusercontent.com/reclosedev/5222560/raw/5e97cf7eb62c3a3671885ec170577285e891f7d5/parsimonious_json.py)) | ? | 7s | ? | 1.4M | | |||
| | Lark - Earley *(with lexer)* | 42s | 4s | 1167M | 608M | | |||
| | Lark - LALR(1) | 8s | 1.53s | 453M | 266M | | |||
| | Lark - LALR(1) tree-less | 4.76s | 1.23s | 70M | 134M | | |||
| | PyParsing ([Parser](http://pyparsing.wikispaces.com/file/view/jsonParser.py)) | 32s | 3.53s | 443M | 225M | | |||
| | funcparserlib ([Parser](https://github.com/vlasovskikh/funcparserlib/blob/master/funcparserlib/tests/json.py)) | 8.5s | 1.3s | 483M | 293M | | |||
| | Parsimonious ([Parser](https://gist.githubusercontent.com/reclosedev/5222560/raw/5e97cf7eb62c3a3671885ec170577285e891f7d5/parsimonious_json.py)) | ? | 5.7s | ? | 1545M | | |||
| I added a few other parsers for comparison. PyParsing and funcparselib fair pretty well in their memory usage (they don't build a tree), but they can't compete with the run-time speed of LALR(1). | |||
| @@ -47,7 +47,7 @@ class TreeToJson(Transformer): | |||
| true = lambda self, _: True | |||
| false = lambda self, _: False | |||
| # json_parser = Lark(json_grammar, parser='earley') | |||
| # json_parser = Lark(json_grammar, parser='earley', lexer='standard') | |||
| # def parse(x): | |||
| # return TreeToJson().transform(json_parser.parse(x)) | |||
| @@ -72,7 +72,7 @@ def test(): | |||
| assert j == json.loads(test_json) | |||
| if __name__ == '__main__': | |||
| test() | |||
| # test() | |||
| with open(sys.argv[1]) as f: | |||
| print(parse(f.read())) | |||
| @@ -3,4 +3,4 @@ from .common import ParseError, GrammarError | |||
| from .lark import Lark | |||
| from .utils import inline_args | |||
| __version__ = "0.2.2" | |||
| __version__ = "0.2.3" | |||
| @@ -324,7 +324,7 @@ class TokenTreeToPattern(Transformer): | |||
| def expansion(self, items): | |||
| if len(items) == 1: | |||
| return items[0] | |||
| if len(set(i.flags for i in items)) > 1: | |||
| if len({i.flags for i in items}) > 1: | |||
| raise GrammarError("Lark doesn't support joining tokens with conflicting flags!") | |||
| return PatternRE(''.join(i.to_regexp() for i in items), items[0].flags) | |||
| @@ -348,60 +348,64 @@ def _interleave(l, item): | |||
| elif is_terminal(e): | |||
| yield item | |||
| def _choice_of_rules(rules): | |||
| return T('expansions', [T('expansion', [Token('RULE', name)]) for name in rules]) | |||
| class Grammar: | |||
| def __init__(self, rule_defs, token_defs, extra): | |||
| self.token_defs = token_defs | |||
| self.rule_defs = rule_defs | |||
| self.extra = extra | |||
| def compile(self, lexer=False, start=None): | |||
| if not lexer: | |||
| rule_defs = deepcopy(self.rule_defs) | |||
| # XXX VERY HACKY!! There must be a better way.. | |||
| ignore_tokens = [('_'+name, t) for name, t in self.token_defs if name in self.extra['ignore']] | |||
| if ignore_tokens: | |||
| self.token_defs = [('_'+name if name in self.extra['ignore'] else name,t) for name,t in self.token_defs] | |||
| ignore_names = [t[0] for t in ignore_tokens] | |||
| expr = Token('RULE', '__ignore') | |||
| for r, tree, _o in rule_defs: | |||
| for exp in tree.find_data('expansion'): | |||
| exp.children = list(_interleave(exp.children, expr)) | |||
| if r == start: | |||
| exp.children = [expr] + exp.children | |||
| for exp in tree.find_data('expr'): | |||
| exp.children[0] = T('expansion', list(_interleave(exp.children[:1], expr))) | |||
| x = [T('expansion', [Token('RULE', x)]) for x in ignore_names] | |||
| _ignore_tree = T('expr', [T('expansions', x), Token('OP', '?')]) | |||
| rule_defs.append(('__ignore', _ignore_tree, None)) | |||
| # End of "ignore" section | |||
| rule_defs += [(name, tree, RuleOptions(keep_all_tokens=True)) for name, tree in self.token_defs] | |||
| token_defs = [] | |||
| tokens_to_convert = {name: '__token_'+name for name, tree, _ in rule_defs if is_terminal(name)} | |||
| new_rule_defs = [] | |||
| for name, tree, options in rule_defs: | |||
| if name in tokens_to_convert: | |||
| if name.startswith('_'): | |||
| options = RuleOptions.new_from(options, filter_out=True) | |||
| else: | |||
| options = RuleOptions.new_from(options, create_token=name) | |||
| name = tokens_to_convert[name] | |||
| inner = Token('RULE', name + '_inner') | |||
| new_rule_defs.append((name, T('expansions', [T('expansion', [inner])]), None)) | |||
| name = inner | |||
| def _prepare_scanless_grammar(self, start): | |||
| # XXX Pretty hacky! There should be a better way to write this method.. | |||
| rule_defs = deepcopy(self.rule_defs) | |||
| term_defs = self.token_defs | |||
| # Implement the "%ignore" feature without a lexer.. | |||
| terms_to_ignore = {name:'__'+name for name in self.extra['ignore']} | |||
| if terms_to_ignore: | |||
| assert set(terms_to_ignore) <= {name for name, t in term_defs} | |||
| term_defs = [(terms_to_ignore.get(name,name),t) for name,t in term_defs] | |||
| expr = Token('RULE', '__ignore') | |||
| for r, tree, _o in rule_defs: | |||
| for exp in tree.find_data('expansion'): | |||
| exp.children = list(_interleave(exp.children, expr)) | |||
| if r == start: | |||
| exp.children = [expr] + exp.children | |||
| for exp in tree.find_data('expr'): | |||
| exp.children[0] = T('expansion', list(_interleave(exp.children[:1], expr))) | |||
| _ignore_tree = T('expr', [_choice_of_rules(terms_to_ignore.values()), Token('OP', '?')]) | |||
| rule_defs.append(('__ignore', _ignore_tree, None)) | |||
| # Convert all tokens to rules | |||
| new_terminal_names = {name: '__token_'+name for name, tree in term_defs} | |||
| for name, tree, options in rule_defs: | |||
| for exp in chain( tree.find_data('expansion'), tree.find_data('expr') ): | |||
| for i, sym in enumerate(exp.children): | |||
| if sym in new_terminal_names: | |||
| exp.children[i] = Token(sym.type, new_terminal_names[sym]) | |||
| for name, tree in term_defs: | |||
| if name.startswith('_'): | |||
| options = RuleOptions(filter_out=True) | |||
| else: | |||
| options = RuleOptions(keep_all_tokens=True, create_token=name) | |||
| else: | |||
| for exp in chain( tree.find_data('expansion'), tree.find_data('expr') ): | |||
| for i, sym in enumerate(exp.children): | |||
| if sym in tokens_to_convert: | |||
| exp.children[i] = Token(sym.type, tokens_to_convert[sym]) | |||
| name = new_terminal_names[name] | |||
| inner_name = name + '_inner' | |||
| rule_defs.append((name, _choice_of_rules([inner_name]), None)) | |||
| rule_defs.append((inner_name, tree, options)) | |||
| new_rule_defs.append((name, tree, options)) | |||
| return [], rule_defs | |||
| rule_defs = new_rule_defs | |||
| def compile(self, lexer=False, start=None): | |||
| if not lexer: | |||
| token_defs, rule_defs = self._prepare_scanless_grammar(start) | |||
| else: | |||
| token_defs = list(self.token_defs) | |||
| rule_defs = self.rule_defs | |||
| @@ -473,14 +477,6 @@ class RuleOptions: | |||
| self.filter_out = filter_out # remove this rule from the tree | |||
| # used for "token"-rules in scanless | |||
| @classmethod | |||
| def new_from(cls, options, **kw): | |||
| return cls( | |||
| keep_all_tokens=options and options.keep_all_tokens, | |||
| expand1=options and options.expand1, | |||
| **kw) | |||
| @classmethod | |||
| def from_rule(cls, name, expansions): | |||
| keep_all_tokens = name.startswith('!') | |||
| @@ -27,7 +27,7 @@ class LALR(WithLexer): | |||
| self.parser = lalr_parser.Parser(parser_conf) | |||
| def parse(self, text): | |||
| tokens = list(self.lex(text)) | |||
| tokens = self.lex(text) | |||
| return self.parser.parse(tokens) | |||
| class LALR_ContextualLexer: | |||
| @@ -160,7 +160,7 @@ class Earley(WithLexer): | |||
| return [Terminal_Token(sym) if is_terminal(sym) else sym for sym in expansion] | |||
| def parse(self, text): | |||
| tokens = list(self.lex(text)) | |||
| tokens = self.lex(text) | |||
| return self.parser.parse(tokens) | |||
| def get_frontend(parser, lexer): | |||
| @@ -98,7 +98,7 @@ class Column: | |||
| for item in items: | |||
| if item.is_complete: | |||
| # XXX TODO Potential bug: What happens if there's ambiguity in an empty rule? | |||
| # XXX Potential bug: What happens if there's ambiguity in an empty rule? | |||
| if item.rule.expansion and item in self.completed: | |||
| old_tree = self.completed[item].tree | |||
| if old_tree.data != 'ambig': | |||
| @@ -110,7 +110,7 @@ class Column: | |||
| old_tree.children.append(item.tree) | |||
| else: | |||
| self.completed[item] = item | |||
| self.to_reduce.append(item) | |||
| self.to_reduce.append(item) | |||
| else: | |||
| if item not in added: | |||
| added.add(item) | |||
| @@ -168,7 +168,7 @@ class Parser: | |||
| to_scan = cur_set.to_scan.get_news() | |||
| for item in to_scan: | |||
| if item.expect.match(token): | |||
| next_set.add([item.advance(stream[i])]) | |||
| next_set.add([item.advance(token)]) | |||
| if not next_set and token is not END_TOKEN: | |||
| expect = {i.expect for i in cur_set.to_scan} | |||
| @@ -181,10 +181,12 @@ class Parser: | |||
| column0.add(predict(start, column0)) | |||
| cur_set = column0 | |||
| for i, char in enumerate(stream): | |||
| _, cur_set = process_column(i, char, cur_set) | |||
| i = 0 | |||
| for token in stream: | |||
| _, cur_set = process_column(i, token, cur_set) | |||
| i += 1 | |||
| last_set, _ = process_column(len(stream), END_TOKEN, cur_set) | |||
| last_set, _ = process_column(i, END_TOKEN, cur_set) | |||
| # Parse ended. Now build a parse tree | |||
| solutions = [n.tree for n in last_set.to_reduce | |||
| @@ -19,6 +19,7 @@ logging.basicConfig(level=logging.INFO) | |||
| from lark.lark import Lark | |||
| from lark.common import GrammarError, ParseError | |||
| from lark.lexer import LexError | |||
| from lark.tree import Tree | |||
| __path__ = os.path.dirname(__file__) | |||
| def _read(n, *args): | |||
| @@ -104,6 +105,21 @@ class TestEarley(unittest.TestCase): | |||
| res = l.parse("aaa") | |||
| self.assertEqual(res.children, ['aaa']) | |||
| def test_earley_repeating_empty(self): | |||
| # This was a sneaky bug! | |||
| grammar = """ | |||
| !start: "a" empty empty "b" | |||
| empty: empty2 | |||
| empty2: | |||
| """ | |||
| parser = Lark(grammar, parser='earley', lexer=None) | |||
| res = parser.parse('ab') | |||
| empty_tree = Tree('empty', [Tree('empty2', [])]) | |||
| self.assertSequenceEqual(res.children, ['a', empty_tree, empty_tree, 'b']) | |||
| def _make_parser_test(LEXER, PARSER): | |||
| def _Lark(grammar, **kwargs): | |||
| return Lark(grammar, lexer=LEXER, parser=PARSER, **kwargs) | |||