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the untarpy example program that comes with this book s examples For instance, assuming the book s examples are located in C:\py3eg, the command to execute in the console is C:\Python31\pythonexe C:\py3eg\untarpy ply32targz Once the tarball is unpacked, change directory to PLY s directory this directory should contain a le called setuppy and a subdirectory called ply PLY can be installed automatically or manually To do it automatically, in the console execute python setuppy install, or on Windows execute C:\Python31\pythonexe setuppy install Alternatively, just copy or move the ply directory and its contents to Python s site-packages directory (or to your local site-packages directory) Once installed, PLY s modules are available as plylex and plyyacc PLY makes a clear distinction between lexing (tokenizing) and parsing And in fact, PLY s lexer is so powerful that it is suf cient on its own to handle all the examples shown in this chapter except for the rst-order logic parser for which we use both the plylex and plyyacc modules When we discussed the PyParsing module we began by rst reviewing various PyParsing-speci c concepts, and in particular how to convert certain BNF constructs into PyParsing syntax This isn t necessary with PLY since it is designed to work directly with regexes and BNFs, so rather than give any conceptual overview, we will summarize a few key PLY conventions and then dive straight into the examples and explain the details as we go along PLY makes extensive use of naming conventions and introspection, so it is important to be aware of these when we create lexers and parsers using PLY Every PLY lexer and parser depends on a variable called tokens This variable must hold a tuple or list of token names they are usually uppercase strings corresponding to nonterminals in the BNF Every token must have a corresponding variable or function whose name is of the form t_TOKEN_NAME If a variable is de ned it must be set to a string containing a regex so normally a raw string is used for convenience; if a function is de ned it must have a docstring that contains a regex, again usually using a raw string In either case the regex speci es a pattern that matches the corresponding token One name that is special to PLY is t_error(); if a lexing error occurs and a function with this name is de ned, it will be called If we want the lexer to match a token but discard it from the results (eg, a comment in a programming language), we can do this in one of two ways If we are using a variable then we make its name t_ignore_TOKEN_NAME; if we are using a function then we use the normal name t_TOKEN_NAME, but ensure that it returns None The PLY parser follows a similar convention to the lexer in that for each BNF rule we create a function with the pre x p_, and whose docstring contains the BNF rule we re matching (only with ::= replaced with :) Whenever a.

8, "MIDP User Interface Libraries," introduces the user interface libraries defined by the MIDP Specification

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rule matches its corresponding function is called with a parameter (called p, following the PLY documentation s examples); this parameter can be indexed with p[0] corresponding to the nonterminal that the rule de nes, and p[1] and so on, corresponding to the parts on the right-hand side of the BNF Precedence and associativity can be set by creating a variable called precedence and giving it a tuple of tuples in precedence order that indicate the tokens associativities Similarly to the lexer, if there is a parsing error and we have created a function called p_error(), it will be called We will make use of all the conventions described here, and more, when we review the examples To avoid duplicating information from earlier in the chapter, the examples and explanations given here focus purely on parsing with PLY It is assumed that you are familiar with the formats to be parsed and their contexts of use This means that either you have read at least this chapter s second section and the rst-order logic parser from the third section s last subsection, or that you skip back using the backreferences provided when necessary

The Ubiquitous GET One thing in common with all the URIs in Table 131 is that they use the HTTP protocol to access resources The HTTP protocol is considered the protocol of the Web The original purpose of HTTP was to exchange HTML pages, but it has since been used to access all types of resources, including images, video, applications, and much more The way in which it does this is by specifying a resource identi er and an action to be performed on that resource URIs identify the resource The action is de ned by a set of HTTP verbs that specify the action to be performed on the resource Table 132 shows a list of common HTTP verbs used on the Web today There are many ways to interact with resources over the Web using the HTTP protocol, but none is as ubiquitous as GET GET is by far the most widely used verb POST comes in second, followed by other verbs such as PUT and DELETE

PLY s lexer is suf cient to handle the key value data held in pls les Every PLY lexer (and parser) has a list of tokens which must be stored in the tokens variable PLY makes extensive use of introspection, so the names of variables and functions, and even the contents of docstrings, must follow PLY s conventions Here are the tokens and their regexes and functions for the PLY pls parser:

tokens = ("INI_HEADER", "COMMENT", "KEY", "VALUE") t_ignore_INI_HEADER = r"\[[^]]+\]" t_ignore_COMMENT = r"\#*" def t_KEY(t): r"\w+" if lowercase_keys: tvalue = tvaluelower() return t def t_VALUE(t): r"=*" tvalue = tvalue[1:]strip() return t

9, "MIDP High-Level User Interface Screen," introduces the part of the MIDP high-level user interface revolving around the Screen class

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