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For example, given a sentence in the English language, such as the dog barked , we might transform the sentence into a sequence of (part-of-speech word) 2-tuples, ((DEFINITE_ARTICLE, "the"), (NOUN, "dog"), (VERB, "barked")) We would then perform syntactic analysis to see if this is a valid English sentence n this case it is, but our parser would have to reject, say, the barked dog The lexing phase is used to convert the data into a stream of tokens In typical cases, each token holds at least two pieces of information: the token s type (the kind of data or language construct being represented), and the token s value (which may be empty if the type stands for itself for example, a keyword in a programming language) The parsing phase is where a parser reads each token and performs some semantic action The parser operates according to a prede ned set of grammar rules that de ne the syntax that the data is expected to follow (If the data doesn t follow the syntax rules the parser will correctly fail) In multiphase parsers, the semantic action consists of building up an internal representation of the input in memory (called an Abstract Syntax Tree AST), which serves as input to the next phase Once the AST has been constructed, it can be traversed, for example, to query the data, or to write the data out in a different format, or to perform computations that correspond to the meanings encoded in the data Data formats and DSLs (and programming languages generally) can be described using a grammar a set of syntax rules that de ne what is valid syntax for the data or language Of course, just because a statement is syntactically valid doesn t mean that it makes sense for example, the cat ate democracy is syntactically valid English, but meaningless Nonetheless, being able to de ne the grammar is very useful, so much so that there is a commonly used syntax for describing grammars BNF (Backus Naur Form) Creating a BNF is the rst step to creating a parser, and although not formally necessary, for all but the most trivial grammars it should be considered essential Here we will describe a very simple subset of BNF syntax that is suf cient for our needs In a BNF there are two kinds of item: terminals and nonterminals A terminal is an item which is in its nal form, for example, a literal number or string A nonterminal is an item that is de ned in terms of zero or more other items (which themselves may be terminals or nonterminals) Every nonterminal must ultimately be de ned in terms of zero or more terminals Figure 141 shows an example BNF that de nes the syntax of a le of attributes , to put things into perspective.

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This simply calls the program s main() function, and does not execute the program s doctests To exercise the program s doctests there are two approaches we can take One is to import the doctest module and then run the program for example, at the console, python3 -m doctest blockspy (on Windows, replacing python3 with something like C:\Python31\pythonexe) If all the tests run ne there is no output, so we might prefer to execute python3 -m doctest blockspy -v instead, since this will list every doctest that is executed, and provide a summary of results at the end Another way to execute doctests is to create a separate test program using the unittest module The unittest module is conceptually modeled on Java s JUnit unit testing library and is used to create test suites that contain test cases The unittest module can create test cases based on doctests, without having to know anything about what the program or module contains, apart from the fact that it has doctests So to make a test suite for the lockspy program, we can create the following simple program (which we have called test_blockspy):.

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