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Both snippets produce a new list: ["Cutter", "ketch", "schooner", "Sloop", "Yawl"], although the computations they perform are not identical because the right-hand snippet creates the temp list variable Python s sort algorithm is an adaptive stable mergesort that is both fast and smart, and it is especially well optimized for partially sorted lists a very common case The adaptive part means that the sort algorithm adapts to circumstances for example, taking advantage of partially sorted data The stable part means that items that sort equally are not moved in relation to each other (after all, there is no need), and the mergesort part is the generic name for the sorting algorithm used When sorting collections of integers, strings, or other simple types their less than operator (<) is used Python can sort collections that contain collections, working recursively to any depth For example:

ManagementParser has one main public method, with two variants The rst variant of parseTree takes an active connection to a directory and a base DN as arguments The second variant takes as an additional parameter the DN of a manager If the DN corresponds to a directory entry, then the return value of the method will be the node that contains the entry, rather than the top-level node or nodes found:

0 1 2 3 4 5 6

>>> x = list(zip((1, 3, 1, 3), ("pram", "dorie", "kayak", "canoe"))) >>> x [(1, 'pram'), (3, 'dorie'), (1, 'kayak'), (3, 'canoe')] >>> sorted(x) [(1, 'kayak'), (1, 'pram'), (3, 'canoe'), (3, 'dorie')]

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Note that octal numerals always consist of two or more digits; 0 is always considered to be a decimal numeral not that it matters much in practice, for the numerals 0, 00, and 0x0 all represent exactly the same integer value The largest decimal literal of type int is 2147483648 ( 2 31 ) All decimal literals from 0 to 2147483647 may appear anywhere an int literal may appear, but the literal 2147483648 may appear only as the operand of the unary negation operator - The largest positive hexadecimal and octal literals of type int are 0x7fffffff and 017777777777, respectively, which equal 2147483647 ( 2 31 1 ) The most negative hexadecimal and octal literals of type int are 0x80000000 and 020000000000, respectively, each of which represents the decimal value 2147483648 ( 2 31 ) The hexadecimal and octal literals 0xffffffff and 037777777777, respectively, represent the decimal value -1 A compile-time error occurs if a decimal literal of type int is larger than 2147483648 ( 2 31 ), or if the literal 2147483648 appears anywhere other than as

static public DefaultMutableTreeNode parseTree( LDAPConnection ldc, String base ) throws LDAPException { static public DefaultMutableTreeNode parseTree( LDAPConnection ldc, String base, String rootDN ) throws LDAPException {

The algorithm was created by Tim Peters An interesting explanation and discussion of the algorithm is in the le listsorttxt which comes with Python s source code

class Point { int x = 0, y = 0, color;

Python has sorted the list of tuples by comparing the rst item of each tuple, and when these are the same, by comparing the second item This gives a sort order based on the integers, with the strings being tiebreakers We can force the sort to be based on the strings and use the integers as tiebreakers by de ning a simple key function:

DAP is not the rst protocol to provide directory services over a network This chapter will brie y outline the predecessors to LDAP, as well as other technologies that provide similar services today The chapter will also introduce some basic concepts in LDAP, including the information and naming models Finally, the chapter will summarize the state of LDAP today and the software development kits for LDAP that are currently available

This example is an extended variation of that in the preceding section:

def swap(t): return t[1], t[0]

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