In python Write a decorator to memoize functions with an arbitrary set of arguments. Memoization is onlypossible if the arguments are hashable. If the wrapper is called with arguments which are not hashable,then the wrapped function should just be called without caching.Note: To use args and kwargs as dictionary keys, they must be hashable, which basically means thatthey must be immutable. args is already a tuple, which is fine, but kwargs have to be converted.One way is tuple(sorted(kwargs.items())).

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Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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For the word count example, for the input of the Map function, keys are document IDs and values are document contents. For the output of the Map function, keys are words and values are counts of words (e.g., (a, 1)). After shuffling via a hashing function on keys of the output, we combine those values with the same key into a list, for example, (a, {1, 5}), which are used as the input of the Reduce function. Within the reduce function, it will count (sum up) the numbers in the value list of a key, and return the key/value pair (e.g., (a, 6)). How to Implement the WordCount example on Hadoop?
Let's assume that a player plays a multi-agent game where, every gun has a type: "Sidearms" or "Rifles" or "Sniper Rifles". Here, in every dictionary inside the tuple, the key is the gun name, the first index of the dictionary value is the gun type and the second index of the dictionary value is the kills done by that gun in a certain match. Now, write a Python program that will generate a dictionary from the given tuple of dictionaries: ================================================ Given Tuple 1: ({"Ghost" : ["Sidearms", 3]}, {"Vandal" : ["Rifles", 15]}, {"Sheriff" : ["Sidearms", 5]}, {"Operator": ["Sniper Rifles", 7]}, {"Phantom" : ["Rifles", 10]}) Sample Output 1: {"Sidearms" : ["Ghost","Sheriff", 8], "Rifles" : ["Vandal", "Phantom", 25], "Sniper Rifles" : ["Operator", 7]} Explanation1: Here, in the expected dictionary the keys will be the type of the guns and the values for an individual key will have the gun names and the sum of the kills by those guns in a…
You are given a hash map implementation that can store key-value pairs with the following operations/syntax. A pair (k,v) mapping k to v can be stored in a hash map H using the assignment syntax: H[k] = v and the value of a key k can be retrieved from H with the expression: H[k] Assume the value of the expression H[k] is -1 if the key k has not yet been added to the hash map. Using this hash map implementation and the syntax provided, write a pseudocode algorithm that checks whether all elements of a list are distinct. The input to your algorithm is an array A with n elements. The output should be True if all elements are distinct (no duplicates) and False if there is a duplicate. (Note: The hash map is a tool for you to use in your algorithm; you can create an empty one in your algorithm. The algorithm starts with the array A as input and nothing else.)
Implement the following Racket functions: You must use recursion, and not iteration. You may not use side-effects (e.g. set!). Transitive? Input: a list of pairs, L. Interpreting L as a binary relation, Transitive? returns #t if L is a transitive relation and #f otherwise. Examples: (display "Transitive? \n") (Transitive? '((a b) (b c) (a c))) ---> #t (Transitive? '((a a) (b b) (c c))) ---> #t (Transitive? '((a b) (b a))) ---> #f (Transitive? '((a b) (b a) (a a))) ---> #f (Transitive? '((a b) (b a) (a a) (b b))) ---> #t (Transitive? '())---> #t
Write a separate C function to implement the following hash functions with a formal parameter key. The function should return the hash value. Write a main program to generate keys randomly for around 100 keys and see how well your functions give unique hash values to each key. --Division Method with an integer key --Multiplication Method with an integer key and a value of (sqrt(5)-1)/2 for A --Mid-Square Method with 7-digit integer key --Folding Method with a 4-digit integer key
You are given an array of integers nums and an integer target. Return the indices of two numbers in the array such that they add up to target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Implement a function in Java to solve this problem using a hash map, and explain the time and space complexity of your solution.
Implement the following Racket functions: Reflexive? Input: a list of pairs, L and a list S. Interpreting L as a binary relation over the set S, Reflexive? returns #t if L is a reflexive relation over the set S and #f otherwise. Examples: (display "Reflexive?\n") (Reflexive? '((a a) (b b) (c c)) '(a b c)) ---> #t (Reflexive? '((a a) (b b)) '(a b c)) ---> #f (Reflexive? '((a a) (a s) (b b) (c c)) '(a b c)) ---> #f (Reflexive? '() '()) ---> #t You must use recursion, and not iteration. You may not use side-effects (e.g. set!).
Write a program that animates quadratic probing,as shown in Figure . You can change the initial size of the hash-table in theprogram. Assume the load-factor threshold to be 0.8.
Define function p:cat represents set concatenation ◦, which concatenates every pair of strings from both sets using racket. We can specify set concatenation as p1 ◦ p2 = {u · v | u ∈ p1 ∧ v ∈ p2}. Alternatively, we give an inductive specification: ∅ ◦ p2 = ∅ p1 ◦ p2 = prefix(u, p2) ∪ (p'1◦ p2) if p1={u} ∪ p'1.
In Python, implement a hashing table data structure of size 20, which can cope with collisions. Thus, you must implement the closed collision system in its three modes: Linear scanQuadratic scanDouble hashing scan. For halt use halt(k)= (k mod (m - 1)) + 1, where m is the size of the table. The data to be managed are students from a certain university who have a 5-digit registration number and it is unique. In addition, the student has a name, age and address. Create a .txt file with 10 students (one for each line) and have them loaded into your program. Build a menu of options where you can: - Find a student and print his data if found and position in the table. Otherwise print a "Not Found" message.
In Python, implement a hashing table data structure of size 20, which can cope with collisions. Thus, you must implement the closed collision system in its three modes: Linear scanQuadratic scanDouble hashing scan. For halt use halt(k)= (k mod (m - 1)) + 1, where m is the size of the table. The data to be managed are students from a certain university who have a 5-digit registration number and it is unique. In addition, the student has a name, age and address. Create a .txt file with 10 students (one for each line) and have them loaded into your program. Build a menu of options where you can: - Enter a new student. For this option, that only allows entering the 5-digit license plate and that random data is automatically generated for the name, age and address. Return the position where it was entered and if it is not possible to enter it, print a message that explains why the entry was not obtained.
Can you give me example of quadratic probing in C++ ? The quadratic problem function has one input, call it m where m is a int. The return type is an int. For example, you have the serial number 2232012, quadProb(2232012) will return an int. Assume that the hash table size is 450. Assume that you are working with an uninitialized 2D array. Also write an insert() function to populate this 2D array.

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