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rdlc data matrix

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Source: /website/ROOT/scripts/common.js var Generics = { expand : function(toProcess, itemsToInject) { var bufferToProcess = ops.singleSerialize(toProcess); for( itemToReplace in itemsToInject) { var recurFind = function(startIndex) { var offset = bufferToProcess.indexOf(itemToReplace, startIndex); if (offset == -1) { return; } var left = bufferToProcess.slice(0, offset); var right = bufferToProcess.slice(offset + itemToReplace.length); var middle = ops.simpleSerialize(itemsToInject[itemToReplace]); bufferToProcess = left + middle + right; offset ++; recurFind(offset); } recurFind(0); } var genBuffer = "var cls = " + bufferToProcess + ";"; eval(genBuffer); return cls; } } To expand a JavaScript object, the object has to first be converted to a buffer. The ops.singleSerialize method converts any JavaScript object into a buffer, and in the case of the preceding example, it converts the toProcess parameter into a buffer. After the conversion to a buffer, the process of finding an identifier and replacing it using a loop is started. With each iteration of the loop stored in the itemToReplace variable is the identifier to replace in bufferToProcess. In the loop, the recurToFind variable references a function that is called recursively. The purpose of the recursion is to incrementally search the buffer for the identifier to replace.

What about the tree One simple design is: TREE { ID INTEGER, V INTEGER, LEFT INTEGER, RIGHT INTEGER } KEY { ID } Explanation: After it s built, the tree will contain n nodes i.e., there will be n tuples in TREE and attribute ID ( node identifier ) will take exactly the values 1, 2, ..., n. For a given node, LEFT and RIGHT refer to the left and right child, respectively; I adopt the convention that a LEFT or RIGHT value of zero means no corresponding child exists. Note: As I ve explained elsewhere (see, e.g., my book An Introduction to Database Systems, 8th edition, Addison-Wesley, 2004), INLIST, OUTLIST, and TREE are strictly speaking not relations as such but, rather, relation variables (relvars for short). From this point forward I ll be careful always to use the term relvar when it really is a relvar I m talking about, and reserve the term relation to mean a relation value (in particular, the value of some relvar).

ipfw add pipe 1 ip from any to any src-port 548 ipfw pipe 1 config mask src-ip 0x0000ffff bw 75Mbits/s

Essentially I want to propose just one new relational operator here, which I ll call (unsurprisingly) TREESORT TREESORT takes a single relation as input and produces another as output The input relation has two attributes, which I ll assume for the moment are called ID and V and have semantics as explained in the previous subsection, and the output relation has the same heading as the input one Thus, if INLIST is as in the previous subsection, the expression TREESORT ( INLIST ) yields a relation looking like, and having the same semantics as, OUTLIST in the previous subsection Points arising: In practice we would need a way to specify which attribute is which, as it were, in the input relation, so that TREESORT knows which is the identifier attribute and which the value one I omit such details here for simplicity.

NOTE: As with other ipfw rules, your pipes must be added to your ipfw.conf file in order to be persistent after restarts.

In practice we wouldn t want TREESORT to be limited to sorting lists of integers but to work for values of any ordinal type (where an ordinal type is simply a type for which the operator < is defined) I limit my attention to integers here for simplicity It should be clear that the user of TREESORT needs to know the structure of the input and output relations but not the structure of the tree relation, which is purely internal to the TREESORT implementation Of course, we could make the structure of that tree relation externally visible (and provide user-visible BUILD and INORDER operators as well) if we had some good reason to do so.

Note Recursion strategy is covered in Recipe 2-6.

Pipes can allow multiple queues per traffic flow. This allows you to cap the bandwidth of each server and not just the aggregate bandwidth of all traffic moving through the pipe. This allows an administrator to manually create a pipe for each server when using Mac OS X as a gateway device (router). Masks are used to define which hosts belong to a pipe. Masks can be specified as follows: dst-ip: IP packets sent using the pipe for which they re bound. src-ip: Mask for the specified source. dst-port: Mask for the specified destination port. src-port: Mask for the specified source ports. proto: Mask for the specified protocol. all: Mask for any computer. For example, if you have a network behind a firewall and all your systems have a desired 500Kbit/s bandwidth maximum, all the traffic can be sent through a pipe. The cap of the pipe will then be applied to the aggregate traffic from all the hosts and not applied to

One final point: Remarks similar to those of the present subsection apply to the discussions of the next section ( Traversing the Nodes of a Tree ) also, mutatis mutandis, and I won t bother to spell the details out again in that section..