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although this can lead to if statements with lots of elifs and nested if elifs that can be dif cult to maintain For more complex grammars, and those that are recursive, PyParsing, PLY, and other generic parser generators are a better choice than using regexes or nite state automata, or doing a handcrafted recursive descent parser Of all the approaches, PyParsing seems to require the least amount of code, although it can be tricky to get recursive grammars right, at least at rst PyParsing works at its best when we take full advantage of its prede ned functionality of which there is quite a lot more than we covered in this chapter and use the programming patterns that suit it This means that in more complex cases we cannot simply translate a BNF directly into PyParsing syntax, but must adapt the implementation of the BNF to t in with the PyParsing philosophy PyParsing is an excellent module, and it is used in many programming projects PLY not only supports the direct translation of BNFs, it requires that we do this, at least for the plyyacc module It also has a powerful and exible lexer which is suf cient in its own right for handling many simple grammars PLY also has excellent error reporting PLY uses a table-driven algorithm that makes its speed independent of the size or complexity of the grammar, so it tends to run faster than parsers that use recursive descent such as PyParsing One aspect of PLY that may take some getting used to is its heavy reliance on introspection, where both docstrings and function names have signi cance Nonetheless, PLY is an excellent module, and has been used to create some complex parsers, including ones for the C and ZXBasic programming languages Although it is generally straightforward to create a parser that accepts valid input, creating one that accepts all valid input and rejects all invalid input can be quite a challenge For example, do the rst-order logic parsers in this chapter s last section accept all valid formulas and eject all invalid ones And even if we do manage to reject invalid input, do we provide error messages that correctly identify what the problem is and where it occurred Parsing is a large and fascinating topic, and this chapter is designed to introduce the very basics, so further reading and practical experience are essential for those wanting to go further One other point that this chapter hints at is that as large and wide-ranging as Python s standard library is, many high-quality, third-party packages and modules that provide very useful additional functionality are also available Most of these are available through the Python Package Index, pypipythonorg/pypi, but some can only be discovered using a search engine In general, when you have some specialized need that is not met by Python s standard library, it is always worth looking for a third-party solution before writing your own.

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All this left poor Judge Spencer in a bit of a box A jury trial had already ruled against RIM And without a new trial, he had to act inside his trial judge role until nal ruling after the inevitable appeals Until that happened, the NTP patents were assumed valid and he had to rule that way His job was not to decide whether NTP s patent claims were really valid Strictly speaking, the onus was still on RIM to prove with clear and convincing evidence that NTP s claims, most of them still presumed by law to be valid, were in fact ot But in real life this could still take years NTP also had the right to appeal any nal rejection notice to a three-judge panel at the USPTO and could le further appeals at the Federal Court level And Donald Stout and James Wallace were automatically appealing each USPTO decision as it came down The company stood a good chance of having at least some of the claims reinstated If RIM could not satisfy the standard, all Judge Spencer was supposed to do was nd that RIM had failed to meet its burden As for NTP s patent claims, all he could do was nd they were not invalid Judge Spencer was a fair and honorable man, and he wanted to minimize damage and deliver some kind of rough justice that would let both sides walk away with their heads held high If he dropped the injunction bomb, RIM would pay the damages it owed to NTP But the situation was becoming absurd and even dangerous What if RIM appealed again and lost RIM would have to shut down the BlackBerry system If NTP s patents were later eradicated either in court or by the USPTO and NTP lost all appeals, the injunction against RIM might still not be lifted, and the company might not get its money back Then anyone but RIM could offer a BlackBerry-type service without fear of infringing NTP s patents All in all there was too much uncertainty because of the density of the case and the issues, not to mention public safety considerations.

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at RIM s lawyer and told him, I ll count to twenty I don t want to yell at you After chewing out the legal team, he summarily ruled that RIM had infringed four claims across three patents He then called the jury back in, told them to disregard the whole RIM demo, and asked them to come up with a verdict The jurors led out of the courtroom with the impression that RIM s lawyers had tried to pull a fast one with fabricated evidence They took just four hours to reach a verdict It was bad news for Research In Motion They found that RIM had infringed in fourteen claims on the remaining ve NTP patents and, worse, that its conduct had been willful On November 21, 2002, after thirteen days of trial, Judge Spencer declared that RIM s case was not even close He assessed damages of $23 million, a royalty based on the number of BlackBerrys sold in the United States, and then slammed down his gavel to end the trial RIM said t would appeal the decision We do not believe these patents are valid We do not believe we infringe on them And we are willing and prepared to do whatever is necessary to ensure that we prevail, RIM co-chief executive Jim Balsillie said in a conference call But RIM s trial wasn t over yet NTP then applied to Judge Spencer to have the damages enhanced because of RIM s fraudulent demo during the trial The judge agreed and said RIM had consistently engaged in a variety of questionable litigation tactics throughout the course of this action He then boosted the damages to $53 million, plus about $45 million in legal fees, and jacked the royalty rate to 855 percent But there was more bad news to come On August 5, 2003, Judge Spencer issued a surprise injunction barring the sale of BlackBerrys in the United States until NTP s patents expired on May 20, 2012 He only agreed to stay the injunction if RIM would.

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The figures for this example show a simple Java framework for pipelines and an example application The framework consists of a base class for pipeline stages, PipelineStage, shown in Fig 427, and a base class for pipelines, LinearPipeline, shown in Fig 428 Applications provide a subclass of PipelineStage for each desired stage, implementing its three abstract methods to indicate what the stage should do on the initial step, the computation steps, and the final step, and a subclass of LinearPipeline that implements its abstract methods to create an array containing the desired pipeline stages and the desired queues connecting the stages For the queue connecting the stages, we use LinkedBlockingQueue, an implementation of the BlockingQueue interface These classes are found in the javautil concurrent package These classes se generics to specify the type of objects the queue can hold For example, new LinkedBlockingQueue<String> creates a BlockingQueue implemented by an underlying linked list that can hold Strings The operations of interest are put, to add an object to the queue, and take, to remove an object, take blocks if the queue is empty The class CountDownLatch, also found in the javautilconcurrent package, is a simple barrier that allows the program to print a message when it has terminated Barriers in general, and CountDownLatch in particular, are discussed in the Implementation Mechanisms design space The remaining figures show code for an example application, a pipeline to sort integers Fig 429 is the required subclass of LinearPipeline, and Fig 430 is the required subclass of PipelineStage Additional pipeline stages to generate or read the input and to handle the output are not shown.