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will cause the output of plain print() function calls made in the ctitious testpy program to be written to the le resultstxt This syntax works in the Windows console (usually) and in Unix consoles For Windows, we must write C:\Python31\pythonexe testpy > resultstxt if Python 2 is the machine s default Python version or if the console exhibits the le association bug; otherwise, assuming Python 3 is in the PATH, python testpy > resultstxt should be suf cient, if plain testpy > resultstxt doesn t work For Unixes we must make the program executable (chmod +x testpy) and then invoke it by typing /testpy unless the directory it is in happens to be in the PATH, in which case invoking it by typing testpy is suf cient Reading data can be achieved by redirecting a le of data as input in an analogous way to redirecting output However, if we used redirection with sum1py, the program would fail This is because the input() function raises an exception if it receives an EOF (end of le) character Here is a more robust version (sum2py) that can accept input from the user typing at the keyboard, or via le redirection:

AWT has extensive support for window management, such as overlapping windows, window resizing, and so forth In contrast, MIDP target devices have small displays that are not large enough for multiple overlapping windows The lcdui API of MIDP has no window management capabilities A lcdui user interface is constructed using a set of Displayables This displayable model and the class structure of user interface are described in the next section [ Team LiB ]

print("Type integers, each followed by Enter; or ^D or ^Z to finish") total = 0 count = 0 while True: try: line = input() if line: number = int(line) total += number count += 1 except ValueError as err: print(err) continue except EOFError: break if count: print("count =", count, "total =", total, "mean =", total / count)

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Host in WAS for unattended services that start and stop with the system but that use TCP, MSMQ, named pipes, or other transports Host in a managed service (aka NT Service) if you want a custom administration interface for starting and stopping the host Managed services can be con gured to start and stop with the system Many commercial grade applications run as managed services

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The collections package provides the collectionsdefaultdict dictionary and the collectionsnamedtuple collection data types that we have previously discussed In addition, this package provides the collectionsUserList and collectionsUserDict types, although subclassing the built-in list and dict types is probably more common than using these types Another type is collectionsdeque, which is similar to a list, but whereas a list is very fast for adding and removing items at the end, a collectionsdeque is very fast for adding and removing items both at the beginning and at the end Python 31 introduced the collectionsOrderedDict and the collectionsCounter classes OrderedDicts have the same API as normal dicts, although when iterated the items are always returned in insertion order (ie, from rst to last inserted), and the popitem() method always returns the most recently added (ie, last) item The Counter class is a dict subclass used to provide a fast and easy way of keeping various counts Given an iterable or a mapping (such as a dictionary), a Counter instance can, for example, return a list of the unique elements or a list of the most common elements as (element, count) 2-tuples Python s non-numeric abstract base classes (classes that can be inherited from but that cannot be used directly) are also in the collections package They are discussed in 8 The array module provides the arrayarray sequence type that can store numbers or characters in a very space-ef cient way It has similar behavior to lists except that the type of object it can store is xed when it is created, so unlike lists it cannot store objects of different types The third-party NumPy package mentioned earlier also provides ef cient arrays The weakref module provides functionality for creating weak references these behave like normal object references, except that if the only reference to an object is a weak reference, the object can still be scheduled for garbage collection This prevents objects from being kept in memory simply because we have a reference to them Naturally, we can check whether the object a weak reference refers to still exists, and can access the object if it does.

[ Team LiB ]

The heapq module provides functions for converting a list into a heap and for adding and removing items from the heap while preserving the heap property A heap is a binary tree that respects the heap property, which is that the rst item (at index position 0) is always the smallest item Each of a heap s subtrees is also a heap, so they too respect the heap property Here is how a heap could be created from scratch:

Host a desktop application if you re implementing a service for user interaction Peer networking is a common example Console applications are great for testing services because debugging is very straightforward

Strictly speaking, the heapq module provides a min heap; heaps where the rst item is always the largest are max heaps

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