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Web Services Coordination v11 A framework for providing protocols that coordinate the actions of distributed applications

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The rst print() statement prints the column titles, and the second print() statement prints hyphens under each title This second statement s str format() call is slightly subtle The string we give to be printed is "", that is, the empty string we get the hyphens by printing the empty string padded with hyphens to the given widths Next we use a for in loop to print the details of each user, extracting the key for each user s dictionary item in sorted order For convenience we create the user variable so that we don t have to keep writing users[key] throughout the rest of the function In the loop s rst call to strformat() we set the name variable to the user s name in surname, forename (and optional initial) form We access items in the user named tuple by name Once we have the user s name as a single string we print the user s details, constraining each column, (name, ID, username) to the widths we want The complete program (which differs from what we have reviewed only in that it has some initial comment lines and some imports) is in generate_usernamespy The program s structure read in a data le, process each record, write output is one that is very frequently used, and we will meet it again in the next example

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[ Team LiB ]

Suppose we have a bunch of data les containing numbers relating to some processing we have done, and we want to produce some basic statistics to give us some kind of overview of the data Each le uses plain text (ASCII encoding) with one or more numbers per line (whitespace-separated) Here is an example of the kind of output we want to produce:

The following code shows the addressing formats for the binding:

count mean median mode std dev = 183 = 13056 = 4300 = [500, 700, 5000] = 23501

Here, we read 183 numbers, with 5, 7, and 50 occurring most frequently, and with a sample standard deviation of 23501 The statistics themselves are held in a named tuple called Statistics:

CLDC provides a number of classes that have been derived from Java 2 Standard Edition (J2SE) The rules for J2ME configurations require that each class with the same name and package name as a J2SE class must be identical to or a subset of the corresponding J2SE class The semantics of the classes and their methods included in the subset may not be changed The classes may not add any public or protected methods or fields that are not available in the corresponding J2SE classes

Statistics = collectionsnamedtuple("Statistics", "mean mode median std_dev")

The default port is port 80 for http and port 443 for https This is the case binding elefor any binding based on the binding ment, including the Table 49 shows the binding properties that are con gurable on the binding

The main() function also serves as an overview of the program s structure:

def main(): if len(sysargv) == 1 or sysargv[1] in {"-h", "--help"}: print("usage: {0} file1 [file2 [ fileN]]"format( sysargv[0])) sysexit() numbers = [] frequencies = collectionsdefaultdict(int) for filename in sysargv[1:]: read_data(filename, numbers, frequencies) if numbers: statistics = calculate_statistics(numbers, frequencies) print_results(len(numbers), statistics) else: print("no numbers found")

J2SE class libraries include several classes that are intimately coupled with the Java Virtual Machine Similarly, several commonly used Java tools assume the presence of certain classes in the system For instance, the standard Java compiler (javac) generates code that requires certain methods of classes String and StringBuffer to be available

We store all the numbers from all the les in the numbers list To calculate the mode ( most frequently occurring ) numbers, we need to know how many times each number occurs, so we create a default dictionary using the int() factory function, to keep track of the counts We iterate over each lename and read in its data We pass the list and default dictionary as additional parameters so that the read_data() function can update them Once we have read all the data, assuming some numbers were successfully read, we call calculate_statistics() This returns a named tuple of type Statistics which we then use to print the results

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