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This module defines the data structures used to represent a grammar.

These are a bit arcane because they are derived from the data
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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.

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    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
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    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
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    dfas          -- a dict mapping symbol numbers to (DFA, first)
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                     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
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                     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.

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