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As always with PyParsing parsers, we create parser elements to match the BNF from last to rst so that for every parser element we create that depends on one or more other parser elements, the elements it depends on already exist The brackets are an important part of the BNF, but are of no interest to us for the results, so we create suitable Suppress() parser elements for them For the new_rows parser element it might be tempting to use Literal("/") but that must match the given text exactly whereas we want to match as many /s as are present Having created the new_rows parser element, we give a name to its results and add a parsing action that replaces the string of one or more /s with an integer count of how many /s there were Notice also that because we gave a name to the result, we can access the result (ie, the matched text), by using the name as an attribute of the tokens object in the lambda The name parser element is slightly different from that speci ed in the BNF in that we have chosen to disallow not only brackets and forward slashes, but also newlines Again, we give the result a name We also set a parse action, this

In this chapter we begin to take a much more detailed look at the Python language We start with a discussion of the rules governing the names we give to object references, and provide a list of Python s keywords Then we look at all of Python s most important data types excluding collection data types, which are covered in 3 The data types considered are all built-in, except for one which comes from the standard library The only difference between builtin data types and library data types is that in the latter case, we must rst import the relevant module and we must qualify the data type s name with the name of the module it comes from 5 covers importing in depth

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to be wired up properly within the channel stack and is the recommended approach The simple and easy approach is to handle the addressing manually within application code, which we will demonstrate next Listing 1214 shows the client code needed to handle addressing The manual addressing is handled by setting the location to the The local address is the address that the client is listening on to receive callback messages

When we create a data item we can either assign it to a variable, or insert it into a collection (As we noted in the preceding chapter, when we assign in Python, what really happens is that we bind an object reference to refer to the object in memory that holds the data) The names we give to our object references are called identi ers or just plain names A valid Python identi er is a nonempty sequence of characters of any length that consists of a start character and zero or more continuation characters Such an identi er must obey a couple of rules and ought to follow certain conventions The rst rule concerns the start and continuation characters The start character can be anything that Unicode considers to be a letter, including the ASCII letters ( a , b , , z , A , B , , Z ), the underscore ( _ ), as well as the letters from most non-English languages Each continuation character can be any character that is permitted as a start character, or pretty well any nonwhitespace character, including any character that Unicode considers to be a digit, such as ( 0 , 1 , , 9 ), or the Catalan character Identi ers are case51

The Graphics class has been improved with: the ability to draw a rectangular portion of the source Image with image transformation including rotation and mirroring (see the drawRegion method),

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