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The dictitems(), dictkeys(), and dictvalues() methods all return dictionary views A dictionary view is effectively a read-only iterable object that appears to hold the dictionary s items or keys or values, depending on the view we have asked for In general, we can simply treat views as iterables However, two things make a view different from a normal iterable One is that if the dictionary the view refers to is changed, the view re ects the change The other is that key and item views support some set-like operations Given dictionary view v and set or dictionary view x, the supported operations are:

We can use the membership operator, in, to see whether a particular key is in a dictionary, for example, x in d And we can use the intersection operator to see which keys from a given set are in a dictionary For example:

WCF pre xes all bindings that are meant to be used between NET applications with the net pre x The binding name pre x is one indicator that you should use when selecting a particular binding to use This means that these bindings have speci c features that are available only to NET applications Conversely, all bindings that begin with the ws pre x are meant for interoperability with non-NET applications using Web services

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Access to the secure HTTP connection may be restricted to prevent unauthorized transmission or reception of data Trusted MIDlet suites needing to use HTTPS must request the javaxmicroeditionioConnectorhttps permission as described in "Trusted MIDlet Suite Security Model" on page 308

d = {}fromkeys("ABCD", 3) s = set("ACX") matches = dkeys() & s # d == {'A': 3, 'B': 3, 'C': 3, 'D': 3} # s == {'A', 'C', 'X'} # matches == {'A', 'C'}

Note that in the snippet s comments we have used alphabetical order this is purely for ease of reading since dictionaries and sets are unordered Dictionaries are often used to keep counts of unique items One such example of this is counting the number of occurrences of each unique word in a le Here is a complete program (uniquewords1py) that lists every word and the number of times it occurs in alphabetical order for all the les listed on the command line:

import string import sys words = {} strip = stringwhitespace + stringpunctuation + stringdigits + "\"'" for filename in sysargv[1:]: for line in open(filename): for word in linelower()split(): word = wordstrip(strip) if len(word) > 2: words[word] = wordsget(word, 0) + 1 for word in sorted(words): print("'{0}' occurs {1} times"format(word, words[word]))

The binding is designed to support communication between NET applications that are deployed on separate machines across a network, including communication across intranets and the Internet We refer to this type of communication as cross-machine communication In this situation there is no need for interoperability because both applications are built on NET This gives us a great deal of exibility when communicating across the network Because no interoperability requirement exists, communication can be optimized for the best performance binding uses binary encoding and the TCP protocol The to achieve the best performance across the network The general guideline

The device may try to authorize the MIDlet when the MIDlet calls the Connectoropen method with a valid HTTPS connection string If the authorization fails and the MIDlet is not allowed to use the HTTPS API, the Connectoropen method throws a SecurityException The device might also check the MIDlet's permission when the MIDlet calls the openInputStream, openDataInputStream, openOutputStream, and openDataOutputStream methods

We begin by creating an empty dictionary called words Then we create a string that contains all those characters that we want to ignore, by concatenating some useful strings provided by the string module We iterate over each lename given on the command line, and over each line in each le See the sidebar Reading and Writing Text Files ( 131) for an explanation of the open() function We don t specify an encoding (because we don t know what each le s encoding will be), so we let Python open each le using the default local encoding We split each lowercased line into words, and then strip off the characters that we want to ignore from both ends of each word If the resultant word is at least three characters long we need to update the dictionary We cannot use the syntax words[word] += 1 because this will raise a KeyError exception the rst time a new word is encountered after all, we can t increment the value of an item that does not yet exist in the dictionary So we use

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