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This decorator requires that every argument and the return value must be annotated with the expected type It checks that the function s arguments and return type are all annotated with their types when the function it is passed is created, and at runtime it checks that the types of the actual arguments match those expected The inspect module provides powerful introspection services for objects Here, we have made use of only a small part of the argument speci cation object it returns, to get the names of each positional and keyword argument in the correct order in the case of the positional arguments These names are then used in conjunction with the annotations dictionary to ensure that every parameter and the return value are annotated The wrapper function created inside the decorator begins by iterating over every name argument pair of the given positional and keyword arguments Since zip() returns an iterator and dictionaryitems() returns a dictionary view we cannot concatenate them directly, so rst we convert them both to lists If any actual argument has a different type from its corresponding annotation the assertion will fail; otherwise, the actual function is called and the type of the value returned is checked, and if it is of the right type, it is returned At the end of the strictly_typed() function, we return the wrapped function as usual Notice that the checking is done only in debug mode (which is Python s default mode controlled by the -O command-line option and the PYTHONOPTIMIZE environment variable) If we decorate the is_unicode_punctuation() function with the @strictly_typed decorator, and try the same examples as before using the decorated version, the annotations are acted upon:

public class MultiSubtreeSearch { public static void main( String[] args ) { String MY_FILTER = "objectclass=*"; String[] BASES = { "ou=People,o=Airiuscom", "ou=Groups,o=Airiuscom", "o=acmecom" }; LDAPConnection ld = new LDAPConnection(); try { ldconnect( "localhost", 389 ); // Get a response listener for one search LDAPSearchListener listener = ldsearch( BASES[0], ldSCOPE_SUB, MY_FILTER, null, false, (LDAPSearchListener)null ); // Share the listener for( int i = 1; i < BASESlength; i++ ) { // Do the parallel searches on clones ld = (LDAPConnection)ldclone(); ldsearch( BASES[i], ldSCOPE_SUB, MY_FILTER, null, false,

If all the maximally speci c methods have override-equivalent ( 842) signatures, then:

is_unicode_punctuation("zebr\a") is_unicode_punctuation(s="!@# ") is_unicode_punctuation(("!", "@")) # returns: False # returns: True # raises AssertionError

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In this chapter we have seen how controls allow a client to access additional functionality that a directory may offer beyond what is speci ed by the various RFCs We have looked at the controls that are prede ned in the SDK, and at how to create new controls and extended operations The chapter also has introduced the utility classes that make it easy to access and update the directory schema, and the options available for handling referrals The options for failover and transparent reconnection have been discussed, and the asynchronous operations for handling results in a nonblocking manner have been presented We ve now completed our tour of the Java LDAP API We hope we re leaving you with some new ideas on what LDAP can do for you and how you can use the SDK to accomplish your directory goals

The above conditions are the only circumstances under which one method may be more speci c than another A method m1 is strictly more speci c than another method m2 if and only if m1 is more speci c than m2 and m2 is not more speci c than m1 A method is said to be maximally speci c for a method invocation if it is accessible and applicable and there is no other method that is applicable and accessible that is strictly more speci c If there is exactly one maximally speci c method, then that method is in fact the most speci c method; it is necessarily more speci c than any other accessible method that is applicable It is then subjected to some further compile-time checks as described in 15123 It is possible that no method is the most speci c, because there are two or more methods that are maximally speci c In this case:

Now the argument types are checked, so in the last case an AssertionError is raised because a tuple is not a string or a subclass of str Now we will look at a completely different use of annotations Here s a small function that has the same functionality as the built-in range() function, except that it always returns floats:

If exactly one of the maximally speci c methods is not declared abstract, it is the most speci c method Otherwise, if all the maximally speci c methods are declared abstract, and the signatures of all of the maximally speci c methods have the same erasure ( 46), then the most speci c method is chosen arbitrarily among the subset of the maximally speci c methods that have the most speci c return type However, the most speci c method is considered to throw a checked exception if and only if that exception or its erasure is declared in the throws clauses of each of the maximally speci c methods

def range_of_floats(*args) -> "author=Reginald Perrin": return (float(x) for x in range(*args))

More to Learn about LDAP Classes of the LDAP SDK LDAP Utility Classes on the CD-ROM Common LDAP Schema Elements LDAP Error Codes

151226 Method Result and Throws Types The result type of the chosen method is determined as follows:

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