asp.net data matrix reader

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The object value type provides a way for you to create a place in memory for related values, which may be named with an identifier or string. Those related values are referred to as members. So, we say an object contains members. Alright, click Clear in both Firebug panels. Then create an empty object literal named iceCream by keying in a pair of curly braces, followed of course by a semicolon. var iceCream = { }; Now add a member named "Chocolate Fudge Brownie" followed by an expression with the number of calories per pint. Just like variables, members may contain a literal value or an expression for a value. Note that the name of the member is separated from the value by a colon. var iceCream = { "Chocolate Fudge Brownie": 4 * 260 }; OK, now members are separated by a comma. So to add a second member, follow the first one with a comma, like so: var iceCream = { "Chocolate Fudge Brownie": 4 * 260, "Half Baked": 4 * 250 }; Now there are several more members so that we have ten in all. Just remember to separate them with a comma. But don t follow the final member "Mission to Marzipan" with a comma.

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var iceCream = { "Chocolate Fudge Brownie": 4 * 260, "Half Baked": 4 * 250, "New York Super Fudge Chunk": 4 * 300, "Coffee Heath Bar Crunch": 4 * 280, "Cherry Garcia": 4 * 240, "Mud Pie": 4 * 270, "Milk & Cookies": 4 * 270, "Cinnamon Buns": 4 * 290, "Chocolate Chip Cookie Dough": 4 * 270, "Mission to Marzipan": 4 * 260 }; To query a member in iceCream, type iceCream, and then put the member name within the [] operator. Let s query "Chocolate Fudge Brownie", my favorite Ben & Jerry s, then verify our work with Figure 1 6. var iceCream = { "Chocolate Fudge Brownie": 4 * 260, "Half Baked": 4 * 250, "New York Super Fudge Chunk": 4 * 300, "Coffee Heath Bar Crunch": 4 * 280, "Cherry Garcia": 4 * 240, "Mud Pie": 4 * 270, "Milk & Cookies": 4 * 270, "Cinnamon Buns": 4 * 290, "Chocolate Chip Cookie Dough": 4 * 270, "Mission to Marzipan": 4 * 260 }; iceCream["Chocolate Fudge Brownie"] + " calories per pint"; // "1040 calories per pint"

5 On the Trace Template Properties page, ensure that Microsoft SQL Server 2005 is set as the Server Type In the New Template Name box, enter MCITP Application Trace 6 Click the check box next to Base New Template On Existing One In the dropdown box, select the Standard template 7 Click the Events Selection tab Ensure that Reads and Writes are checked for each event possible Reads monitors the number of logical disk reads, and Writes monitors the number of physical disk writes 8 Click the Column Filters button Click the + next to Like and enter MCITP This assumes the application we want to measure is named MCITP Click OK Since we don t have an MCITP application, this trace won t actually do anything, but the exercise does show how to create a template TIP You may notice that the Standard template includes a Not Like box with SQL Server Profiler listed This is so the trace does not capture data generated from SQL Profiler 9 Click Save to save the template The template will be saved and closed 10 Click File | Templates | Export Template 11 In the Select Template Name dialog box, ensure that Microsoft SQL Server 2005 is chosen as the Server Type Select MCITP Application Trace (User), and then click OK 12 In the Save As dialog box, enter MCITPApplicationTrace Ensure the Save As Type is set to SQL Server Profiler Template Files (*tdf) Click Save On the SQL Server Profiler dialog box, click OK 13 Delete the template Select File | Templates | Edit Template In the Trace Template Properties dialog box, select the item labeled MCITP Application Trace (User) in the Select Template Name drop-down box Click Delete, and then click Cancel 14 Import the template Select File | Templates | Import Template 15 In the Open File dialog box, select the MCITPApplicationTracetdf file Click Open, and then click OK.

Figure 1 6. Querying a member in iceCream Hmm. It think I mismarked "Half Baked". It ought to be 270 per serving, not 250. So, how would we write a new value to the "Half Baked" member

Summary Table 31 provides an overview of the major classes of tiny objects that can be examined using various types of microscopes

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