Collection Data Types in Java

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3 Collection Data Types
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many items it is to produce a number that cannot be less than the number of items the iterable can return The randomsample() function returns an iterator that will produce up to the speci ed number of items from the iterable it is given with no repeats So this version of the program will always produce unique names
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Tuple unpacking 110
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str format()
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In the for in loop we unpack each tuple returned by the zip() function We want to limit the length of each name to 25 characters, and to do this we must rst create a string with the complete name, and then set the maximum width for that string when we call strformat() the second time We left-align each name, and for names shorter than 25 characters we ll with periods The extra period ensures that names that occupy the full eld width are still separated from the year by a period We will conclude this subsection by mentioning two other iterable-related functions, sorted() and reversed() The sorted() function returns a list with the items sorted, and the reversed() function simply returns an iterator that iterates in the reverse order to the iterator it is given as its argument Here is an example of reversed():
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>>> [0, >>> [5, list(range(6)) 1, 2, 3, 4, 5] list(reversed(range(6))) 4, 3, 2, 1, 0]
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The sorted() function is more sophisticated, as these examples show:
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>>> x = [] >>> for t in zip(range(-10, 0, 1), range(0, 10, 2), range(1, 10, 2)): x += t >>> x [-10, 0, 1, -9, 2, 3, -8, 4, 5, -7, 6, 7, -6, 8, 9] >>> sorted(x) [-10, -9, -8, -7, -6, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> sorted(x, reverse=True) [9, 8, 7, 6, 5, 4, 3, 2, 1, 0, -6, -7, -8, -9, -10] >>> sorted(x, key=abs) [0, 1, 2, 3, 4, 5, 6, -6, -7, 7, -8, 8, -9, 9, -10]
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In the preceding snippet, the zip() function returns 3-tuples, (-10, 0, 1), (-9, 2, 3), and so on The += operator extends a list, that is, it appends each item in the sequence it is given to the list The rst call to sorted() returns a copy of the list using the conventional sort order The second call returns a copy of the list in the reverse of the conventional sort order The last call to sorted() speci es a key function which we will come back to in a moment
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Iterating and Copying Collections
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Notice that since Python functions are objects like any other, they can be passed as arguments to other functions, and stored in collections without formality Recall that a function s name is an object reference to the function; it is the parentheses that follow the name that tell Python to call the function When a key function is passed (in this case the abs() function), it is called once for every item in the list (with the item passed as the function s sole parameter), to create a decorated list Then the decorated list is sorted, and the sorted list without the decoration is returned as the result We are free to use our own custom function as the key function, as we will see shortly For example, we can case-insensitively sort a list of strings by passing the
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strlower() method as a key If we have the list, x, of ["Sloop", "Yawl", "Cutter", "schooner", "ketch"], we can sort it case-insensitively using DSU
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(Decorate, Sort, Undecorate) with a single line of code by passing a key function, or do the DSU explicitly, as these two equivalent code snippets show:
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temp = [] for item in x: tempappend((itemlower(), item)) x = [] for key, value in sorted(temp): xappend(value)
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x = sorted(x, key=strlower)
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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:
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>>> 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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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
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