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A common compile-time error experienced by novice Symbian OS le system users occurs when attempting to use a 16-bit descriptor to read from or write to a le using an RFile handle. The RFile::Read() and RFile::Write() methods take only 8-bit descriptors, which means that wide strings must rst be converted. Another common error is the failure to make stack-based RFs or RFile objects leave-safe, through use of the cleanup stack. Connections to the le server can take a signi cant amount of time to set up. Rather than creating multiple sessions on demand, RFs session should be passed between functions where possible, or stored and reused. It is also possible to share RFile handles within a process, and even between two processes. Allowing an open le handle to be passed from one process to another is a necessary feature in secure versions of Symbian OS. File system access code can also be made more ef cient by remembering the implications of client server interaction. As described in 11, ef ciency can be improved by minimizing the number of client server calls. The main technique for achieving this is to transfer more data and thus make fewer le server requests. For example, it is more ef cient to read once from a le into one large buffer, and then access and manipulate this client-side, than to make multiple read requests for smaller sections of a le. In fact, most data-transfer clients of the le server will use the stream store (see Section 12.2), or a relational database, both of which perform this buffering automatically. These components have optimized their use of the le server, and callers that use these APIs rather than access the le server directly gain ef ciency automatically.

c& = 1.45, c& = 0.82,

Saut 2 lb (900 g) sliced mushrooms and 3 oz (90 g) chopped onion in 3 oz (90 g) butter. Add 1 tbsp (15 mL) lemon juice to keep the mushrooms white. Cook until juices have evaporated. Cool and add to the empty pie shell. Omit cheese.

Given a collection of numbers called numbers, this MAXScript computes the average. Unfortunately, every time you need to compute the average, you have to type all that MAXScript again. Or you might be smart and just cut and paste it in each time you need it. Still, your script is quickly becoming large and ugly, and you always have to change the script to match the name of your collection you re averaging.

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As an example for an application of Eq. (1.23), consider a bus stop with the following schedule: Buses arrive with exponentially distributed interarrival times and identical mean x. Now if you have already been waiting in vain for u units of time for the bus to come, the probability of a bus arrival within the next t units of time is the same as if you had just shown up at the bus stop, that is, you can forget about the past or about the time already spent waiting. Another important property of the exponential distribution is its relation to the discrete Poisson random variable. If the interarrival times are exponentially distributed and successive interarrival times are independent with identical mean F, then the random variable that represents the number of buses that arrive in a fixed interval of time [0, t) has a Poisson distribution with parameter a = t/s . Two additional properties of the exponential distribution can be derived from the Poisson property: 1. If we merge n Poisson processeswith distributions for the interarrival times 1 - eSxtt, 1 - i < n, into one single process, then the result is < a Poisson process for which the interarrival times have the distribution 1 - eext with X = Cy=, Xi (seeFig. 1.3).

Now you need to shut down the computer, unplug the power cord, and physically remove the device from the system. Then plug the machine back in, start it up, and everything should be back to the way it was before you ever installed the device. If you set a protection point just before installing the hardware, you can return to that protection point just to make sure.

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