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Directory users in the United States may never have to re ect on the fact that string data can be represented in many different character sets Directory servers that comply with LDAPv3 transmit all string data in the UTF8 character set, a variant of Unicode UTF8 has the pleasant characteristic that the ASCII characters are represented with the same 7-bit values (one character per byte) as in ASCII That means that ASCII text can easily be added to a directory, searched, and updated; the data is the same in the UTF8 character set Things are trickier beyond the ASCII characters Programmers and users in some European countries may expect to be able to use characters from the latin-1 character set for example, , , , and users in Japan might want to input data in shift-jis or EUC The good news is that UTF8 can accommodate all the characters anyone can come up with for all these character sets; the bad news is that any data in those character sets must be converted to UTF8 before being stored in the server, and it must be converted back when reading from the server Suppose you have an LDIF le with data you would like to add to a directory If the data was typed in with a German-language or Japanese-language word processor, it will most likely contain characters that are not valid in UTF8 You can add the contents of the le to the directory with java LDAPModify, but you will not be able to search for values containing those characters; if you search for something else and receive attribute values containing the characters, most likely the results will be truncated The solution is to run the LDIF le through a converter (to UTF8) before adding it Clients of the C LDAP API are expected to convert their string data to UTF8 (if it is not in ASCII) before passing it to any API function, and to convert it back when receiving data from the server Users of the Java LDAP API are much more fortunate Character sets are handled in the Java language, the Java class libraries, and Directory SDK for Java as follows:.

def copy(self): d = SortedDict() super(SortedDict, d)update(self) d__keys = self__keyscopy() return d

where n is known to be positive A trick known as Duff s device can be used in C or C++ to unroll the loop, but this is not valid code in the Java programming language:

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/** * Report if this node is to be considered a container * * @return true if the node has children or is of container * type */ protected boolean checkIfContainer() { if ( getCountFromEntry() > 0 ) { return true; } Hashtable containers = getModel()getContainers(); Enumeration e = _objectClasseselements(); while ( ehasMoreElements() ) { String s = (String)enextElement(); if ( containersget( s ) != null ) { return true; } } return false; } /** * Find an appropriate image for a node, based on the * object classes specified and whether or not it is a * leaf node * * @param objectClasses hash table containing object classes * for which to look for an icon * @param isLeafNode true if this is for a leaf node * @return an appropriate image */ static ImageIcon checkIcon( Hashtable objectClasses, boolean isLeafNode ) { String iconName = ""; Enumeration e = objectClasseskeys(); while ( ehasMoreElements() ) { String s = ((String)enextElement())toLowerCase(); iconName = (String)_iconsget( s ); if ( iconName == null ) { iconName = _resourcegetString( _section, s+"-icon" ); if ( iconName == null ) iconName = ""; _iconsput( s, iconName ); }

The easiest reimplementation is simply def copy(self): return SortedDict( self) We ve chosen a slightly more complicated solution that avoids re-sorting the already sorted keys We create an empty sorted dictionary, then update it with the items in the original sorted dictionary using the base class dictupdate() to avoid the SortedDictupdate() reimplementation, and replace the dictionary s self__keys SortedList with a shallow copy of the original one When super() is called with no arguments it works on the base class and the self object But we can make it work on any class and any object by passing in a class and an object explicitly Using this syntax, the super() call works on the immediate base class of the class it is given, so in this case the code has the same effect as (and could be written as) dictupdate(d, self) In view of the fact that Python s sort algorithm is very fast, and is particularly well optimized for partially sorted lists, the ef ciency gain is likely to be little or nothing except for huge dictionaries However, the implementation shows that at least in principle, a custom copy() method can be more ef cient than using the copy_of_x = ClassOfX(x) idiom that Python s built-in types support And just as we did for SortedList, we have set __copy__ = copy so that the copycopy() function uses our custom copy method rather than its own code

int q = (n+7)/8; switch (n%8) { case 0: do {foo(); // Great C hack, Tom, case 7: foo(); // but it s not valid here case 6: foo(); case 5: foo(); case 4: foo(); case 3: foo(); case 2: foo(); case 1: foo(); } while (--q > 0); }

def value_at(self, index): return self[self__keys[index]] def set_value_at(self, index, value): self[self__keys[index]] = value

if ( !iconNameequals( "" ) ) break; } if ( iconNameequals( "" ) ) { if ( isLeafNode ) iconName = _defaultImageName; else iconName = _defaultFolderImageName; } return ImageUtilgetPackageImage( iconName ); }

Fortunately, this trick does not seem to be widely known or used Moreover, it is less needed nowadays; this sort of code transformation is properly in the province of state-of-the-art optimizing compilers

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