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A regular expression is an object that matches some collection of strings. You can use regular expressions to search and transform strings in sophisticated ways. Regular expressions use their own special syntax to describe strings to match. They can be very efficient, but also very cryptic if taken to extremes. Regular expressions are widely used in UNIX world. The module re provides full support for Perl-like regular expressions in Python. The re module raises the exception re.error if an error occurs while compiling or using a regular expression. Prior to Version 1.5, the modules regex and regsub provided support for regular expressions. These modules are now deprecated.

\Z is useful when reading lines from a file that may or may not have a newline character at the end. \b and \B are handy when searching text for complete words: echo preg_match( /over/ , My hovercraft is full of eels ); // Displays 1 echo preg_match( /\bover\b/ , My hovercraft is full of eels ); // Displays 0 echo preg_match( /\bover\b/ , One flew over the cuckoo s nest ); // Displays 1

(24.4.2.2)

As we showed in Section 3.1, the constraints were formulated in terms appropriate for the speci c domain. The results showed a strong difference between Dutch and Indonesian planners (x2 19.13; p , 0.00; df 5). Many Dutch planners changed the properties of the elements A, B, C, or D, whether it be staff members, products in the orders, or products in the containers. None of the Indonesian planners did so. They opted for service delay or for a higher occupation rate, or they did not want to give an answer. Remember that planners were considered to have solved the problem, if they indicated it was unsolvable. Some planners hesitated in making a choice for a particular constraint. In contradistinction with the country result, it was interesting to nd no differences between domains (x2 8.57; p , 0.57; df 10). This means that different planners in different domains to a certain degree relieve the same types of constraints. This might be an artifact of the problem presentation, but it might also point to a similar representation. 4.3.2.3.6. Representation in Memory and Visual Aids. It is always dif cult to see what people really think when they solve dif cult problems (Newell and Simon, 1972). In Section 4.2.2.3 we discussed the controversy regarding the issue whether problem solving consists in following a set of (production) rules or whether it consists in applying schemata and frames (from memory). An indication for the latter are remarks such as this looks like something I did then and then or I remember such a problem and then I did so and so. We analyzed the protocols for this kind of remarks and we saw a difference between the Dutch and Indonesian planners

SEEK_CUR Sets the pointer to the current position plus the specified offset SEEK_END Sets the pointer to the end of the file plus the specified offset (use with a negative

Developers of networking protocols adhere to a layered approach. Each layer is responsible for a different portion of the data communication that is occurring at any time. There are many protocols that are part of the TCP/IP protocol suite. Each protocol functions within a layer of the TCP/IP model, depending on its function. Figure 5-1 shows an example of the TCP/IP model, how it corresponds to the OSI model, and some of the more well-known protocols that are served at each layer.

create_image(x,y, image= [,anchor= ]) (x,y).

in the next interval t n , t nq1 x should be bounded by its future arrivals T ky1 t n y . plus its backlog at current time t n . So from 7.6.,

Thus, [x :y:z ] creates a row vector whose rst element is x and whose last element is z (depending on step size y), where the elements in between are of the form x + ky (where k is a positive integer). It can also be useful to create vectors of zeros:

(x, y, z) = (x) (y) (z),

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