rdlc data matrix

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rdlc data matrix

rdlc data matrix

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exportssum = sum; // incrementjs var sum = require('sum')sum; var increment = function(num){ return sum(num, 1); }; exportsincrement = increment; // programjs var increment = require('increment')increment; consolelog(increment(302)); // 303 Here we split up the math module into two modules: sum and increment The sum module, in sumjs, is simply a declaration of the function together with an exports declaration In incrementjs, which is a separate module, we first import the sum module, then define the increment method that uses the sum function we imported Finally, we import the increment module into the program itself Thus, we are able to put together three separate modules into one program transparently.

public string Address { get { return m_Address; } set { m_Address = value; } } private string m_City; public string City { get { return m_City; } set { m_City = value; } } private string m_Region; public string Region { get { return m_Region; } set { m_Region = value; } } private string m_PostalCode; public string PostalCode { get { return m_PostalCode; } set { m_PostalCode = value; } } private string m_Country; public string Country { get { return m_Country; } set { m_Country = value; } } private string m_Phone; public string Phone { get { return m_Phone; } set { m_Phone = value; } } public string CustomerID { get { return m_CustomerID; } set { m_CustomerID = value; } } }

public void clear()

Module imports using the require function are done linearly: when a module imports another module, the engine first interprets the contents of the imported module before returning the value of the exports object and continuing to interpret the rest of the importing module In our example, the engine will first interpret the programjs file and see that we re importing the increment module, so it will pause execution of programjs and open incrementjs to start interpreting this file In the incrementjs file, it ll see that there s another call to require, so it ll again halt execution and perform the import by opening and interpreting sumjs After interpreting sumjs, the engine will take the value of the sum module s exports object and return to the importing module, which is incrementjs The increment.

public Iterator<Map.Entry<String,String>> iterator()

js file will then continue execution, thereby defining the increment function and exporting it Then the engine will again take the value of the exports object and return to the main programjs file where execution will continue This linear execution of modules is done in order to prevent race conditions on dependencies In our example, the increment module depends on the sum function from the sum module Because of this dependency, the engine needs to make sure that the sum function will be available before the increment module can use it Thus, the modules are interpreted in a linear fashion..

This method serializes the key/value pairs in the configuration to XML in the standard configuration file format and writes the data to out. The destination for this output data can be used as input to the addResource() method. This method is used by the framework to serialize the job configuration and store it in HDFS so that the individual tasks load the job configuration at task start.

When you write a web service that s accessing data from a database, you might be tempted to simply return a dataset from a web method. This is a bad idea for a few reasons: Datasets carry a significant amount of metadata overhead. Remember that web services have to serialize and deserialize all data returned constructs with large amounts of overhead can adversely affect scalability. Datasets are a .NET-only structure. Returning a dataset from a web service means your web service is not vendor-agnostic. Datasets are not structured data. That is to say, you cannot know in advance what is going to be in the dataset; it s effectively a bag of objects. This makes for a weak contract at the interface, and makes designing to consume a web service problematic. It s much better to return structured data so that consumers of the web service can write appropriate code to consume what s being returned. One way to leverage datasets and still provide an appropriate interface is to take advantage of strongly typed datasets.

public ClassLoader getClassLoader()