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C = {I0, I1, Im} We ll refer to the parser based on this canonical collection as a canonical LR parser Similar to SLR parser, each state is represented by a set of LR(1) items, so we ll construct the set of states C as a set (or collection) of sets of LR(1) items I0, I1, Im But, unlike the SLR parser, the canonical LR parser performs a reduce action only if the corresponding LR(1) item, with the dot standing after the right part of the rule, belongs to the current state, and (the most important) if the current input symbol a is exactly the same symbol as the second member of the LR(1) item In other words, the canonical LR(1) parser performs reductions by a rule A -> y only if an LR(1) item [A -> y, a] belongs to the current state, where a is the input.

Sadly, many conversations between the CEO and the CIO go like this: CEO: We ve got to cut costs another 3% to meet our quarterly earnings projections or the analysts will hammer us. Which IT projects can you kill or put on hold CIO: I ll get you a list this afternoon. Now imagine the CEO is the defendant in a trial and he is talking to his lawyer: CEO: Gee, this is getting more expensive than I thought it would. Do we really need all these expert witnesses Lawyer: Only if you want to be acquitted. I suppose that if the lawyer had an MBA (master of business administration) in addition to his JD (doctor of jurisprudence), he might advise his client to think of the expert witnesses as assets rather than costs. He might advise the CEO to think of acquittal as a future bene t of his investment in the witnesses. My advice to every CEO is this: Treat your CIO like gold, because your future success will depend largely on his or her performance. Treat your CIO and the IT department as strategic assets. That does not mean that you give them a free ride in fact, it means that you need to manage them more carefully and more closely because now you recognize just how valuable and important they really are to you.

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.MoveUp wdLine, 6 End With Set the Word object to Nothing to free resources: Set WordObj = Nothing DoCmd.Hourglass False End Sub

The scheme of the algorithm of constructing the set of states C [5] is just the same as for SLR parser: We take the initial state (formed as a closure of the starting LR(1) item) and then try to construct possible next states as the results of goto function, applied to the current state and to any symbol that has a dot standing before it in any of the LR(1) items belonging to the current state: Algorithm to construct C = {I0, I1, Im} the collection of sets of LR(1) items for the canonical LR(1) parser: 1 let I0 = closure ({[S -> S, EOF]}) the initial state (set of LR(1) items 2 for each I already in C for each LR(1) item [A -> .

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Ingredients Sole llets: 24 llets, 2 oz (60 g) each Beaujolais wine Fish stock Butter Salt Pepper Chervil sprigs for garnish

x , y] in I where x is a terminal and y in Vt + EOF, add J = goto(I, x) to C, in case J is not already in C 3 for each I already in C for each LR(1) item [B -> , z] in I add the set K = goto(I, B) to C, in case K is not already in C 4) repeat steps 2 and 3 until no more I-sets can be added to C The parsing tables for the canonical LR(1) parser Let C = {I0, I1, Im} the canonical collection of sets of LR(1) items To each of the sets, Ik corresponds to a state number k of the canonical LR(1) parser The action and goto tables for canonical LR parser are constructed the same way as for the SLR parser, with the only difference: The reduce.

Prepare as in basic recipe. Brown sliced almonds in the butter used for garnishing. Omit garnish of lemon slices, and garnish plate with lemon wedges.

binary(50), varbinary, varbinary(50), varbinary(MAX) uniqueidentifier xml: XML data type for storing both content and functionality of XML documents. sql_variant: A variable data type, except it does not allow text, ntext, image, or timestamp.

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