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So the boundaries of step 1 (small) would be 10 and 20; for step 2 (medium), they would be 20 and 30; and for step 3 (large), they would be 30 and 40 To generalize this, let mn = MIN(val) and mx = MAX(val) and let stepsize = (mx mn) / @numsteps Given a step number n, the lower bound of the step (lb) is mn + (n 1) * stepsize and the higher bound (hb) is mn + n * stepsize Something is tricky here What predicate do you use to bracket the elements that belong in a speci c step You can t use val BETWEEN lb and hb because a value that is equal to hb appears in this step and also in the next step, where it equals the lower bound.

If a le already exists on a target server but the le is not identical to the version on the primary member, Windows moves the le on the target server to the local con ict folder and then replicates the primary member s version of the le, even if this le is older than the version on the target server. If a le exists on a target server that is not present on the primary member, Windows does not replicate it during the initial replication but does replicate it during subsequent replications to other members, including the primary member. After the initial replication, the primary member role goes away and replication is multiple-master-based. Do not delete, rename, or move les on the primary member or any member that has already replicated until the rst replication is complete. (Look for Event 4104 in the DFS Replication log.) Deleting, renaming, or moving les before the rst replication is complete can cause the les to reappear if they existed on a target that had not yet replicated.

Remember that the same calculation yielded the higher bound of one step and the lower bound of the next step One approach to deal with this problem is to increase each of the lower bounds besides the rst by one so that they exceed the previous step s higher bounds With integers, this is a ne solution, but with another data type (such as NUMERIC in our case) it doesn t work because there are potential values between adjacent steps but not within either one between the cracks, so to speak..

Object-oriented programming (OOP) has been around for many, many years . When it was first used in the late 1970s/early 1980s, applications were much smaller in size and all the code to make the application run was written by one company . Sure, there were operating systems back then and applications did make use of what they could out of those operating systems, but the operating systems offered very few features compared with the operating systems of today . Today, software is much more complex and users demand that applications offer rich features such as GUIs, menu items, mouse input, tablet input, printer output, networking, and so on . For this reason, our operating systems and development platforms have grown substantially over recent years . Furthermore, it is no longer feasible or even cost effective for application developers to write all of the code necessary for their application to work the way users expect . Today, applications consist of code produced by many different companies . This code is stitched together using an object-oriented paradigm . Component Software Programming (CSP) is OOP brought to this level . Here are some attributes of a component:

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<available file="${temp.dir}/writable.dat" property="test.failed"/> <fail if="test.failed"> Failed! Writable file copied! </fail> <echo>Test passed</echo> </target> <target name="main" depends="test"/> </project>

Hashtable x_unsafe = new Hashtable(); Console.WriteLine("Sync state: " + x_unsafe.IsSynchronized); Hashtable x_safe = Hashtable.Synchronized(x_unsafe); Console.WriteLine("Sync state: " + x_safe.IsSynchronized);

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