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The code begins with the same character length check that is used in the resize() function Rather than explicitly checking the row and column arguments, the function works by assuming that the arguments are valid If an IndexError exception occurs because a nonexistent row or column is accessed, we catch the exception and raise the appropriate module-speci c exception in its place This style of programming is known colloquially as it s easier to ask forgiveness than permission , and is generally considered more Pythonic (good Python programming style) than look before you leap , where checks are made in advance Relying on exceptions to be raised rather than checking in advance is more ef cient when exceptions are rare (Assertions don t count as look before you leap because they should never occur and are often commented out in deployed code)

A continue statement may occur only in a while, do, or for statement; statements of these three kinds are called iteration statements Control passes to the loop-continuation point of an iteration statement ContinueStatement: continue Identi eropt ;

(|(objectclass=organizationalUnit)(title=*))

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A continue statement with no label attempts to transfer control to the innermost enclosing while, do, or for statement of the immediately enclosing method

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The SDK includes a cache mechanism, which is not used by default It is a search-level cache, not an entry-level cache Results will be retrieved from the cache rather than from the LDAP server if and only if all of the following apply: The cache is enabled The host and port of the connection match a cache entry The credentials of the connection match those of the cache entry Any controls in the request match those of the cache entry

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Note the use of two statement labels, edgelist and search, and the use of break statements This allows the code that copies a list, omitting one edge, to be shared between two separate tests, the test for an edge from node i to node j , and the test for an edge from node j to node i

For more about the bytes data type, see the sidebar The Bytes and Bytearray Data Types (293 ), and Tables 71, 72, and 73 ( 299 301), which list their methods Here is the code for reading an incidents pickle le:

The scope and search lter match those of the cache entry The requested attribute list matches that of the cache entry Some applications do repeated identical searches, and using this cache will signi cantly improve their performance We have benchmarked a 17-fold speed increase when the server is on the same machine as the client, or when the two are connected on a LAN If the connection is slower for example, if it is a modem connection the relative gain will be even greater However, maintaining a cache incurs runtime overhead in performance and memory If your application does a large number of unique searches or does searches with varying credentials, you will pay the price for this overhead but not see much bene t In this case you are better off keeping a simple entry-level cache as a Hashtable in the application, or not using a cache at all The same is true if you will be doing many different searches that each return a very large number of entries, because a large result set may ll the cache and force previous results to be expunged A cache is shared by all objects that share the same physical connection that is, by all connection clones The cache can also be used by multiple independent LDAPConnection objects, but there is no bene t if the objects are connected to different servers To enable the search-level cache, construct an LDAPCache object and apply it to the connection:

Your experience has been a most entertaining one, remarked Holmes as his client paused and refreshed his memory with a huge pinch of snuff Pray continue your very interesting statement

Protocol 3 is Python 3-speci c If we want pickles that are readable and writable by both Python 2 and Python 3 programs, we must use protocol 2 instead Note, though, that protocol 2 les written by Python 31 can be read by Python 31 and Python 2x, but not by Python 30!

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LDAPCache cache = new LDAPCache( 3600, 1000000 ); ldsetCache( cache );

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