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78f89d8c38
with line feeds. This was ported from the sandbox to the 3.3 branch, but didn't make it into 3.2. - Re-enable lib2to3's test_parser.py tests, though with an expected failure (see issue 13125).
206 lines
6.9 KiB
Python
206 lines
6.9 KiB
Python
# Copyright 2006 Google, Inc. All Rights Reserved.
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# Licensed to PSF under a Contributor Agreement.
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"""Pattern compiler.
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The grammer is taken from PatternGrammar.txt.
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The compiler compiles a pattern to a pytree.*Pattern instance.
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"""
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__author__ = "Guido van Rossum <guido@python.org>"
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# Python imports
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import io
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import os
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# Fairly local imports
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from .pgen2 import driver, literals, token, tokenize, parse, grammar
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# Really local imports
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from . import pytree
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from . import pygram
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# The pattern grammar file
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_PATTERN_GRAMMAR_FILE = os.path.join(os.path.dirname(__file__),
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"PatternGrammar.txt")
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class PatternSyntaxError(Exception):
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pass
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def tokenize_wrapper(input):
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"""Tokenizes a string suppressing significant whitespace."""
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skip = set((token.NEWLINE, token.INDENT, token.DEDENT))
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tokens = tokenize.generate_tokens(io.StringIO(input).readline)
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for quintuple in tokens:
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type, value, start, end, line_text = quintuple
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if type not in skip:
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yield quintuple
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class PatternCompiler(object):
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def __init__(self, grammar_file=_PATTERN_GRAMMAR_FILE):
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"""Initializer.
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Takes an optional alternative filename for the pattern grammar.
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"""
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self.grammar = driver.load_grammar(grammar_file)
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self.syms = pygram.Symbols(self.grammar)
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self.pygrammar = pygram.python_grammar
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self.pysyms = pygram.python_symbols
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self.driver = driver.Driver(self.grammar, convert=pattern_convert)
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def compile_pattern(self, input, debug=False, with_tree=False):
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"""Compiles a pattern string to a nested pytree.*Pattern object."""
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tokens = tokenize_wrapper(input)
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try:
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root = self.driver.parse_tokens(tokens, debug=debug)
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except parse.ParseError as e:
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raise PatternSyntaxError(str(e))
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if with_tree:
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return self.compile_node(root), root
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else:
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return self.compile_node(root)
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def compile_node(self, node):
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"""Compiles a node, recursively.
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This is one big switch on the node type.
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"""
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# XXX Optimize certain Wildcard-containing-Wildcard patterns
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# that can be merged
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if node.type == self.syms.Matcher:
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node = node.children[0] # Avoid unneeded recursion
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if node.type == self.syms.Alternatives:
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# Skip the odd children since they are just '|' tokens
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alts = [self.compile_node(ch) for ch in node.children[::2]]
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if len(alts) == 1:
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return alts[0]
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p = pytree.WildcardPattern([[a] for a in alts], min=1, max=1)
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return p.optimize()
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if node.type == self.syms.Alternative:
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units = [self.compile_node(ch) for ch in node.children]
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if len(units) == 1:
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return units[0]
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p = pytree.WildcardPattern([units], min=1, max=1)
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return p.optimize()
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if node.type == self.syms.NegatedUnit:
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pattern = self.compile_basic(node.children[1:])
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p = pytree.NegatedPattern(pattern)
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return p.optimize()
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assert node.type == self.syms.Unit
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name = None
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nodes = node.children
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if len(nodes) >= 3 and nodes[1].type == token.EQUAL:
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name = nodes[0].value
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nodes = nodes[2:]
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repeat = None
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if len(nodes) >= 2 and nodes[-1].type == self.syms.Repeater:
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repeat = nodes[-1]
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nodes = nodes[:-1]
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# Now we've reduced it to: STRING | NAME [Details] | (...) | [...]
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pattern = self.compile_basic(nodes, repeat)
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if repeat is not None:
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assert repeat.type == self.syms.Repeater
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children = repeat.children
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child = children[0]
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if child.type == token.STAR:
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min = 0
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max = pytree.HUGE
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elif child.type == token.PLUS:
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min = 1
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max = pytree.HUGE
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elif child.type == token.LBRACE:
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assert children[-1].type == token.RBRACE
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assert len(children) in (3, 5)
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min = max = self.get_int(children[1])
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if len(children) == 5:
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max = self.get_int(children[3])
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else:
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assert False
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if min != 1 or max != 1:
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pattern = pattern.optimize()
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pattern = pytree.WildcardPattern([[pattern]], min=min, max=max)
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if name is not None:
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pattern.name = name
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return pattern.optimize()
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def compile_basic(self, nodes, repeat=None):
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# Compile STRING | NAME [Details] | (...) | [...]
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assert len(nodes) >= 1
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node = nodes[0]
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if node.type == token.STRING:
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value = str(literals.evalString(node.value))
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return pytree.LeafPattern(_type_of_literal(value), value)
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elif node.type == token.NAME:
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value = node.value
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if value.isupper():
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if value not in TOKEN_MAP:
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raise PatternSyntaxError("Invalid token: %r" % value)
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if nodes[1:]:
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raise PatternSyntaxError("Can't have details for token")
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return pytree.LeafPattern(TOKEN_MAP[value])
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else:
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if value == "any":
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type = None
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elif not value.startswith("_"):
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type = getattr(self.pysyms, value, None)
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if type is None:
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raise PatternSyntaxError("Invalid symbol: %r" % value)
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if nodes[1:]: # Details present
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content = [self.compile_node(nodes[1].children[1])]
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else:
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content = None
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return pytree.NodePattern(type, content)
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elif node.value == "(":
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return self.compile_node(nodes[1])
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elif node.value == "[":
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assert repeat is None
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subpattern = self.compile_node(nodes[1])
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return pytree.WildcardPattern([[subpattern]], min=0, max=1)
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assert False, node
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def get_int(self, node):
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assert node.type == token.NUMBER
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return int(node.value)
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# Map named tokens to the type value for a LeafPattern
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TOKEN_MAP = {"NAME": token.NAME,
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"STRING": token.STRING,
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"NUMBER": token.NUMBER,
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"TOKEN": None}
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def _type_of_literal(value):
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if value[0].isalpha():
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return token.NAME
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elif value in grammar.opmap:
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return grammar.opmap[value]
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else:
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return None
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def pattern_convert(grammar, raw_node_info):
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"""Converts raw node information to a Node or Leaf instance."""
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type, value, context, children = raw_node_info
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if children or type in grammar.number2symbol:
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return pytree.Node(type, children, context=context)
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else:
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return pytree.Leaf(type, value, context=context)
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def compile_pattern(pattern):
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return PatternCompiler().compile_pattern(pattern)
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