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7.2 There are two parts to the token passing replication control algorithm as mentioned in this chapter. The rst part consists of ticketing transactions and the second part includes applying transactions. Draw the Petri net for each part of the algorithm. Do NOT worry about dealing with failures. 7.3 Assume the four-site system given in Figure 7.8 for the token passing replication control. Suppose, for fairness, when a site receives the token it can ticket a maximum of three transactions. A token is generated at Site 1 to start with. Answer the following questions for this setup for cycle 1 of the algorithm. (A) What is the ticket number when the token leaves Site 1 (B) What is the ticket number when the token comes back to Site 1 (C) How many transactions and in what order are they serialized for the rst cycle of the token (cycle starts at Site 1 and ends when the token arrives at Site 1 again) 7.4 As depicted in Figure 7.9, during the second cycle, the communication line between Sites 3 and 4, when the token is on it, goes down. For this cycle, answer the following questions:

Debit $3,400

Suppose that a computer is fed a random program. Imagine a monkey sitting at a keyboard and typing the keys at random. Equivalently, feed a series of fair coin ips into a universal Turing machine. In either case, most strings will not make sense to the computer. If a person sits at a terminal and types keys at random, he will probably get an error message (i.e., the computer will print the null string and halts). But with a certain probability she will hit on something that makes sense. The computer will then print out something meaningful. Will this output sequence look random From our earlier discussions, it is clear that most sequences of length n have complexity close to n. Since the probability of an input program p is 2 l(p) , shorter programs are much more probable than longer ones; and when they produce long strings, shorter programs do not produce random strings; they produce strings with simply described structure. The probability distribution on the output strings is far from uniform. Under the computer-induced distribution, simple strings are more likely

Note. 1 = participated; 0 = did not participate. The 15 patterns shown are those involving the largest numbers of participants. Sixteen additional patterns, each containing fewer than 20 students, are not shown.

Alchoholic Score 1 4 6 7 7 14 14 18 19 20 21 24 25 26 26 26 27 28 28 30 33 33 44 45 50 di. 1.00 .72 .56 .52 .52 .24 .24 .40 .52 .52 .52 .68 .68 .68 .68 .68 .72 .84 .84 .92 .92 .92 1.00 1.00 1.00

Although the following options map to all options present in revision 0.19, they may appear differently (or not at all) in your version. Indeed, they may appear alongside even more options. View Recordings (Recording Groups) You may password-protect your recordings from unauthorized viewing, specify a default group policy filter, and always have MythTV prompt you for an initial group filter. You can also save the current group filter when any changes are made, show the filter name instead of the All Programs filter, and declare a global default view on the frontend. Hardware Decoding Settings Unless you bought the Hauppage PVR-350 capture card, these options do not apply to you. A number of features appear only when you enable the first option. We recommended against enabling the following settings for any other TV capture card:

p(x) 2l(x) l (x) 1

You can use Movable Type s Perl API in two ways. You can develop extensions for Movable Type through its plugin architecture, or you can create external tools or full applications that use the Movable Type API. If you are creating your own tools or applications, you need to properly initialize Movable Type s framework before you can use any of the MT objects. The initialization process loads the Movable Type configuration file and establishes MT s home directory:

To apply settings to existing text, use the Text tool to select a text block or text blocks on the Stage.