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- # Copyright 2004-2005 Elemental Security, Inc. All Rights Reserved.
- # Licensed to PSF under a Contributor Agreement.
- """This module defines the data structures used to represent a grammar.
- These are a bit arcane because they are derived from the data
- structures used by Python's 'pgen' parser generator.
- There's also a table here mapping operators to their names in the
- token module; the Python tokenize module reports all operators as the
- fallback token code OP, but the parser needs the actual token code.
- """
- # Python imports
- import pickle
- # Local imports
- from . import token
- class Grammar(object):
- """Pgen parsing tables conversion class.
- Once initialized, this class supplies the grammar tables for the
- parsing engine implemented by parse.py. The parsing engine
- accesses the instance variables directly. The class here does not
- provide initialization of the tables; several subclasses exist to
- do this (see the conv and pgen modules).
- The load() method reads the tables from a pickle file, which is
- much faster than the other ways offered by subclasses. The pickle
- file is written by calling dump() (after loading the grammar
- tables using a subclass). The report() method prints a readable
- representation of the tables to stdout, for debugging.
- The instance variables are as follows:
- symbol2number -- a dict mapping symbol names to numbers. Symbol
- numbers are always 256 or higher, to distinguish
- them from token numbers, which are between 0 and
- 255 (inclusive).
- number2symbol -- a dict mapping numbers to symbol names;
- these two are each other's inverse.
- states -- a list of DFAs, where each DFA is a list of
- states, each state is a list of arcs, and each
- arc is a (i, j) pair where i is a label and j is
- a state number. The DFA number is the index into
- this list. (This name is slightly confusing.)
- Final states are represented by a special arc of
- the form (0, j) where j is its own state number.
- dfas -- a dict mapping symbol numbers to (DFA, first)
- pairs, where DFA is an item from the states list
- above, and first is a set of tokens that can
- begin this grammar rule (represented by a dict
- whose values are always 1).
- labels -- a list of (x, y) pairs where x is either a token
- number or a symbol number, and y is either None
- or a string; the strings are keywords. The label
- number is the index in this list; label numbers
- are used to mark state transitions (arcs) in the
- DFAs.
- start -- the number of the grammar's start symbol.
- keywords -- a dict mapping keyword strings to arc labels.
- tokens -- a dict mapping token numbers to arc labels.
- """
- def __init__(self):
- self.symbol2number = {}
- self.number2symbol = {}
- self.states = []
- self.dfas = {}
- self.labels = [(0, "EMPTY")]
- self.keywords = {}
- self.tokens = {}
- self.symbol2label = {}
- self.start = 256
- def dump(self, filename):
- """Dump the grammar tables to a pickle file."""
- with open(filename, "wb") as f:
- pickle.dump(self.__dict__, f, pickle.HIGHEST_PROTOCOL)
- def load(self, filename):
- """Load the grammar tables from a pickle file."""
- with open(filename, "rb") as f:
- d = pickle.load(f)
- self.__dict__.update(d)
- def loads(self, pkl):
- """Load the grammar tables from a pickle bytes object."""
- self.__dict__.update(pickle.loads(pkl))
- def copy(self):
- """
- Copy the grammar.
- """
- new = self.__class__()
- for dict_attr in ("symbol2number", "number2symbol", "dfas", "keywords",
- "tokens", "symbol2label"):
- setattr(new, dict_attr, getattr(self, dict_attr).copy())
- new.labels = self.labels[:]
- new.states = self.states[:]
- new.start = self.start
- return new
- def report(self):
- """Dump the grammar tables to standard output, for debugging."""
- from pprint import pprint
- print("s2n")
- pprint(self.symbol2number)
- print("n2s")
- pprint(self.number2symbol)
- print("states")
- pprint(self.states)
- print("dfas")
- pprint(self.dfas)
- print("labels")
- pprint(self.labels)
- print("start", self.start)
- # Map from operator to number (since tokenize doesn't do this)
- opmap_raw = """
- ( LPAR
- ) RPAR
- [ LSQB
- ] RSQB
- : COLON
- , COMMA
- ; SEMI
- + PLUS
- - MINUS
- * STAR
- / SLASH
- | VBAR
- & AMPER
- < LESS
- > GREATER
- = EQUAL
- . DOT
- % PERCENT
- ` BACKQUOTE
- { LBRACE
- } RBRACE
- @ AT
- @= ATEQUAL
- == EQEQUAL
- != NOTEQUAL
- <> NOTEQUAL
- <= LESSEQUAL
- >= GREATEREQUAL
- ~ TILDE
- ^ CIRCUMFLEX
- << LEFTSHIFT
- >> RIGHTSHIFT
- ** DOUBLESTAR
- += PLUSEQUAL
- -= MINEQUAL
- *= STAREQUAL
- /= SLASHEQUAL
- %= PERCENTEQUAL
- &= AMPEREQUAL
- |= VBAREQUAL
- ^= CIRCUMFLEXEQUAL
- <<= LEFTSHIFTEQUAL
- >>= RIGHTSHIFTEQUAL
- **= DOUBLESTAREQUAL
- // DOUBLESLASH
- //= DOUBLESLASHEQUAL
- -> RARROW
- := COLONEQUAL
- """
- opmap = {}
- for line in opmap_raw.splitlines():
- if line:
- op, name = line.split()
- opmap[op] = getattr(token, name)
- del line, op, name
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