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1 # Copyright 2004-2005 Elemental Security, Inc. All Rights Reserved.
2 # Licensed to PSF under a Contributor Agreement.
4 """This module defines the data structures used to represent a grammar.
6 These are a bit arcane because they are derived from the data
7 structures used by Python's 'pgen' parser generator.
9 There's also a table here mapping operators to their names in the
10 token module; the Python tokenize module reports all operators as the
11 fallback token code OP, but the parser needs the actual token code.
23 class Grammar(object):
24 """Pgen parsing tables conversion class.
26 Once initialized, this class supplies the grammar tables for the
27 parsing engine implemented by parse.py. The parsing engine
28 accesses the instance variables directly. The class here does not
29 provide initialization of the tables; several subclasses exist to
30 do this (see the conv and pgen modules).
32 The load() method reads the tables from a pickle file, which is
33 much faster than the other ways offered by subclasses. The pickle
34 file is written by calling dump() (after loading the grammar
35 tables using a subclass). The report() method prints a readable
36 representation of the tables to stdout, for debugging.
38 The instance variables are as follows:
40 symbol2number -- a dict mapping symbol names to numbers. Symbol
41 numbers are always 256 or higher, to distinguish
42 them from token numbers, which are between 0 and
45 number2symbol -- a dict mapping numbers to symbol names;
46 these two are each other's inverse.
48 states -- a list of DFAs, where each DFA is a list of
49 states, each state is a list of arcs, and each
50 arc is a (i, j) pair where i is a label and j is
51 a state number. The DFA number is the index into
52 this list. (This name is slightly confusing.)
53 Final states are represented by a special arc of
54 the form (0, j) where j is its own state number.
56 dfas -- a dict mapping symbol numbers to (DFA, first)
57 pairs, where DFA is an item from the states list
58 above, and first is a set of tokens that can
59 begin this grammar rule (represented by a dict
60 whose values are always 1).
62 labels -- a list of (x, y) pairs where x is either a token
63 number or a symbol number, and y is either None
64 or a string; the strings are keywords. The label
65 number is the index in this list; label numbers
66 are used to mark state transitions (arcs) in the
69 start -- the number of the grammar's start symbol.
71 keywords -- a dict mapping keyword strings to arc labels.
73 tokens -- a dict mapping token numbers to arc labels.
78 self.symbol2number = {}
79 self.number2symbol = {}
82 self.labels = [(0, "EMPTY")]
85 self.symbol2label = {}
88 def dump(self, filename):
89 """Dump the grammar tables to a pickle file."""
90 with open(filename, "wb") as f:
91 pickle.dump(self.__dict__, f, pickle.HIGHEST_PROTOCOL)
93 def load(self, filename):
94 """Load the grammar tables from a pickle file."""
95 with open(filename, "rb") as f:
97 self.__dict__.update(d)
100 """Load the grammar tables from a pickle bytes object."""
101 self.__dict__.update(pickle.loads(pkl))
107 new = self.__class__()
108 for dict_attr in ("symbol2number", "number2symbol", "dfas", "keywords",
109 "tokens", "symbol2label"):
110 setattr(new, dict_attr, getattr(self, dict_attr).copy())
111 new.labels = self.labels[:]
112 new.states = self.states[:]
113 new.start = self.start
117 """Dump the grammar tables to standard output, for debugging."""
118 from pprint import pprint
120 pprint(self.symbol2number)
122 pprint(self.number2symbol)
129 print("start", self.start)
132 # Map from operator to number (since tokenize doesn't do this)
185 for line in opmap_raw.splitlines():
187 op, name = line.split()
188 opmap[op] = getattr(token, name)