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As we mentioned, the simple solution is to set the Default Value to 0 for the YearsWorked property. This will cause the instances of the Employee entity type to be materialized with a 0 for the YearsWorked property when the underlying value is null. The other approach is to use either LINQ or ESQL to project the results into a collection of an anonymous type. The query sets the YearsWorked to 0 when the underlying value is null. For the LINQ approach, we use the null-coalescing operator to assign the value of 0 when the underlying value is null. We project the results into a collection of an anonymous type. For Entity SQL we use a case statement to assign the value of 0 to YearsWorked when the underlying value is null. In the last bit of code, we show how to use Entity SQL to materialize instances of the Employee entity type without setting the Default Value property for the entity. To do this, we use the named constructor for the entity type. This constructor assigns the values from the parameters to the properties in the same order as the properties are defined in the entity. In our case, the properties for the Employee entity are defined in the following order: EmployeeId, Name, and YearsWorked. The parameters to the constructor follow this same order. We also changed the type for the CreateQuery() method from DbDataRecord to Employee. Unfortunately, there is no corresponding name constructor syntax for LINQ to Entities.

that contain multiple errors In fact, we often do not consider this until trying everything else But they do happen and if nothing else explains an issue, look for multiple bugs Normally you scrutinize the error messages you get very carefully, hoping for a clue as to where to start your debugging efforts But if you're not having any luck with that approach, remember that error messages can sometimes be misleading Sometimes programmers don't put as much thought into the handling and reporting of error conditions as one would like, so it may be wise to avoid interpreting the error message too literally, and to consider possibilities other than the ones that are specifically identified When you're really stuck on a bug, it can be helpful to grab another programmer and explain the bug to them Also tell them the efforts you've made so far to hunt down its source.

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It s called Manhattan because if you were walking down the streets of New York City, you wouldn t be able to take a shortcut diagonally through any city block. Ignoring possible diagonal routes makes the Manhattan heuristic fast to process. This is important because A* is an extremely CPU-hungry algorithm. If you need to do pathfinding for a lot of game characters each frame, Manhattan will save you some performance impact. However, because it doesn t account for diagonal routes, it may not always guarantee the absolute shortest path. The Euclidean method uses the Pythagorean theorem to calculate the distance. private function euclidean (testNode:Object, destinationNode:Object):uint { var vx:int = destinationNode.column - testNode.column; var vy:int = destinationNode.row - testNode.row; var h:uint = uint(Math.sqrt(vx * vx + vy * vy) * _straightCost); return h; } The Euclidean method does account for diagonals, so it produces a very natural-looking path. However, it s a little slower to process than the Manhattan method because of that hungry Math.sqrt method. The diagonal method compensates for the costs of moving straight across or diagonally, so it ends up with a very accurate cost estimate. This means that A* may need to do less searching and produce a faster result, and it will definitely produce the shortest possible path. private function diagonal (testNode:Object, destinationNode:Object):uint { var vx:uint = Math.abs(destinationNode.column - testNode.column); var vy:uint = Math.abs(destinationNode.row - testNode.row); var h:uint; if(vx > vy) { h = uint(_diagonalCost * vy + _straightCost * (vx - vy)); } else { h = uint(_diagonalCost * vx + _straightCost * (vy - vx)); } return h; }

You have a stored procedure that returns multiple result sets and you want to materialize entities from each result set.

They may offer some helpful advice, but this is not what the technique is really about It sometimes happens that in the course of explaining the problem to another person, you realize something about the bug you didn't think of before Many have noted that solutions come much easier after a period of intense concentration on the problem, followed by a period of rest Another way to get a fresh look at a piece of code you've been staring at for too long is to print it out and review it We read faster on paper than on the screen, so this may be why it's slightly easier to spot an error in printed code than displayed code After a time you may notice that you are prone to writing particular kinds of bugs If you can identify a consistent weakness like this, you can take preventative steps.

There s no one right heuristic to use. You just need to decide which produces the kind of path that seems the most natural for the game you re making.

Suppose you have a model like the one in Figure 3-8 and a stored procedure like the one in Listing 3-8 that returns both jobs and bids.

If you have a code-review checklist, augment the checklist to include a check specifically for the type of bug you favor Simply maintaining an awareness of your "favorite" defects can help reduce your tendency to inject them..

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