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The key_value parser element is the one we are really interested in This matches a word a sequence of alphanumeric characters, followed by an equals sign, followed by the rest of the line (which may be empty) The restOfLine is a prede ned parser element supplied by PyParsing Since we want to accumulate results as we go we add a parse action (a function reference) to the key_value parser element this function will be called for every key=value that is matched Although PyParsing provides a prede ned pythonStyleComment parser element, here we prefer the simpler Literal("#") followed by the rest of the line (And thanks to PyParsing s smart operator overloading we were able to write the literal # as a string because when we concatenated it with another parser element to produce the comment parser element, PyParsing promoted the # to be a Literal()) The parser itself is a parser element that matches one or more ini_header or key_value parser elements, and that ignores comment parser elements

The term relational database implies the use of relationships, right If you don t know how data is related, using a relational database to simply store information is no different from dumping all your receipts, paycheck stubs, and financial statements into a large trash bag for storage Tax season would be a nightmare; sure, all the data is there, but how long would it take you to sort out the relevant information and file your taxes The real power of a relational database lies in the efficient and flexible storage and retrieval of data Identifying and implementing the correct relationships in a logical model are two of the most critical design steps To correctly identify relationships, it s important to understand all the possibilities, know how to recognize each one, and determine when each should be used

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Because the volatile keyword can be applied only to references to an array and not to the individual elements, the javautil concurrent atomic package introduced in Java 2 15 adds a notion of atomic arrays where the individual elements are accessed with volatile semantics For example, in a Java version of the OpenMP example shown in Fig 62, we would declare the flag array to be of type AtomicIntegerArray and update and read with that class's set and get methods Another technique for ensuring proper memory synchronization is synchronized blocks A synchronized block appears as follows:

def accumulate(tokens): key, value = tokens key = keylower() if lowercase_keys else key key_values[key] = value

This function is called once for each key=value match The tokens parameter is a tuple of the matched parser elements In this case we would have expected the tuple to have the key, the equals sign, and the value, but since we used Suppress() on the equals sign we get only the key and the value, which is exactly what we want The lowercase_keys variable is a Boolean created in an outer scope and that for pls les is set to True (Note that for ease of explanation we have shown this function after the creation of the parser, although in fact it must be de ned before we create the parser since the parser refers to it)

synchronized(some_object){/*do something with shared variables*/}

try: parserparseFile(file) except ParseException as err: print("parse error: {0}"format(err)) return {} return key_values

With the parser set up we are ready to call the parseFile() method, which in this example takes the name of a pls le and attempts to parse it If the parse fails we output a simple error message based on what PyParsing tells us At the end we return the key_values dictionary or an empty dictionary if the parsing failed and we ignore the parseFile() method s return value since we did all our processing in the parse action

Logically, there are three distinct types of relationships between entities: one-to-one, one-to-many, and many-to-many Each represents the way two entities logically relate to each other It is important to remember that these relationships are logical; physical implementation is another step, as discussed later in 9

In the previous section s second subsection we created a handcrafted regexbased parser for m3u les In this subsection we will create a parser to do the same thing, but this time using the PyParsing module An extract from a m3u le is shown in Figure 146 (523 ), and the BNF is shown in Figure 147 (523 ) As we did when reviewing the previous subsection s pls parser, we will review the m3u parser in three parts: rst the creation of the parser, then the helper function, and nally the call to the parser Just as with the pls parser, we are ignoring the parser s return value and instead populating our data structure as the parsing progresses (In the following two subsections we will create parsers whose return values are used)

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