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If you can t figure out the answer by referring to the documentation, then there s little choice other than to look online. Linux benefits from a massive community of users, all of whom are usually willing to help each other. The best way of getting help is to visit a forum. Here, you can post messages for others to reply to. Alternatively, you might choose to sign up for a mailing list. This is a way of sending e-mail to several hundreds, if not thousands, of people at once. Any individual can then reply. Mailing lists often have the benefit of allowing personal attention and interaction, but this comes at the expense of each subscriber receiving a whole lot of mail.

One final case of parsing is common when working with binary data. That is, say you want to work with a format that is conceptually relatively easy to parse and generate (such as a binary format) but where the process of actually writing the code to crack and encode the format is somewhat tedious. This section covers a useful set of techniques to write readers and writers for binary data quickly and reliably. The running example shows a set of pickling (also called marshalling) and unpickling combinators to generate and read a binary format of our design. You can easily adapt the combinators to work with existing binary formats such as those used for network packets. Picklers and unpicklers for different data types are function values that have signatures as follows: type outstate = System.IO.BinaryWriter type instate = System.IO.BinaryReader type pickler<'T> = 'T -> outstate -> unit type unpickler<'T> = instate -> 'T Here, instate and outstate are types that record information during the pickling or parsing process. In this section, these are just binary readers and writers; but more generally, they can be any type that can collect information and help compact the data during the writing process, such as by ensuring that repeated strings are given unique identifiers during the pickling process.

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These options may be very familiar, and for good reason: the list is identical to the options presented in the Disk Utility GUI However, there are a few additional properties that can be specified from the command line when dealing with sparse bundle images that are worth noting As mentioned, a sparsebundle image is actually comprised of numerous separate files, or bands, which comprise the entire volume By default, each band in a sparse bundle image is 8MB Apple likely chose this default size because it is a good compromise between small and large file access The truth of the matter is that one size doesn t necessarily fit all, and for some data sets, a small band size can adversely affect performance This is especially true in large data sets.

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