The Factory Pattern is an approach that allows us to traverse over collections, series and sequences in a uniform way A) True B) False
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The Factory Pattern is an approach that allows us to traverse over collections, series and sequences in a uniform way
A) True
B) False
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- True or False: Can indexing be viewed abstractly as a process to determine if an element with a particular value is a member of a particular set? Is the more common view of indexing an attempt to find the record within a collection of records that has a particular key value, or those records in a collection whose key values meet some criterion such as falling within a range of values? Thus, can we say indexing in data structure refers to the process of finding location of an element in a list? Give an example.When working with enumeration types, such as the arithmetic operators and the stream operators, is it possible to rapidly access operators that are often used, such as the arithmetic operators and the stream operators? Is it conceivable, for instance, to overload these operators in order to arrive at a result that is satisfactory? What are the arguments for and against doing so?Hashing Project in Python to Extract Features of Names You are given the following three functions. They take plain text names and covert then into features vefctors so that you can work with them in a classification system. Let's check your understanding of Python function. Add notes to each line describing what is happening in these functions. FUNCTION ONE: def hashfeatures(baby, B, FIX): """ Input: baby : a string representing the baby's name to be hashed B: the number of dimensions to be in the feature vector FIX: the number of chunks to extract and hash from each string Output: v: a feature vector representing the input string """ v = np.zeros(B) for m in range(FIX): featurestring = "prefix" + baby[:m] v[hash(featurestring) % B] = 1 featurestring = "suffix" + baby[-1*m:] v[hash(featurestring) % B] = 1 return v FUNCTION TWO: def name2features(filename, B=128, FIX=3, LoadFile=True): """ Output: X : n feature…
- LINKED LIST IMPLEMENTATION Subject: Data Structure and Algorithm in C++Create a Student Record Management system that can perform the following operations:1) Insert student records2) Delete student record3) Show student record4) Search student record The student record should contain the following items1) Name of Student2) Student Matriculation ID number3) Course in which the student is enrolled4) Total marks of the student Approach: With the basic knowledge of operations of Linked Lists like insertion, deletion of elements in linked list, the student record management can be created. Below are the functionalities explained that are to be implemented.●Check Record: It is a utility function of creating a record it checks before insertion that the Record Already exist or not. It uses the concept of checking for a Node with given Data in a linked list.-Create Record: It is as simple as creating a new node in the Empty Linked list or inserting a new node in a non-Empty linked list.-Search…Which best describes this axiom: aList . getEntry ( i + 1 ) = ( aList . remove ( i ) ) . getEntry ( i ) When an item is removed from a list the items below are all moved toward the end of the list to fill the gap When an item is removed from a list the position is held open for the next item that gets inserted When an item is removed from a list the items below are all moved toward the beginning of the list to fill the gap None of theseJava/Data Structures: The Java Class Library implementation of the interface list return null when an index is out of range. True or False
- Create a set-based implementation of an abstract data type with the following operations. insert(S, x) Insert x into the set S. delete(S, x) Delete x fromthe set S. member(S, x) Return true if x ∈ S, false otherwise. position(S, x) Return the number of elements of S less than x. concatenate(S, T) Set S to the union of S and T, assuming every element in S is smaller than every element of T. All operations on sets with n elements must finish in O(log n) time.15. Code to Recurrence Relation What is the recurrence relation of the runtime of the following algorithm: T(n) represents the time it takes to complete func called with the parameter n value n. def func(n): if n == 0: return print(n) func(n//2) func(n//3) Pick ONE option T(n) = T(n-1) + T(n-2) + C; T(1) = C T(n) = T(n-2) + T(n-3) + C; T(1) = C T(n) = T(n/2) + T(n/3) + C; T(1) = C T(n) = T(n-5) + C; T(1) = C Clear Selection 8111. deep-reverse Define a function similar to the built-in reverse function, except that it acts recursively, reversing the order the members of any nested sublists. You may not use the built-in reverse function as a helper function. However, you may use your own my-reverse function as a helper function. Input: A single list which may contain an arbitrary number of elements and sublists, each sublists may also contain an arbitrary number of elements and sublists, nested to an any depth. Output: A new list which contains all elements in reverse order, as well as recursively reverse order all members of sublists. Example: > (deep-reverse (((4 3) 6) ((7 2 9) (5 1)))) '(((15) (9 2 7)) (6 (34))) > (deep-reverse ((1 2) 3)) (3 (21)) > (deep-reverse '((4 5))) '((5 4)) > (deep-reverse (3 6 9 12)) (12 963)
- Write a program to implement disjoint set data structures and its operations find and union.?1. An enumeration type is a set of ordered values. True FalseRewrite the set of productions below in Extended Backus-Naur Form (EBNF). Set of Productions: P01: FN → FN–HEAD FN–BODY P02: FN–HEAD → TYPE id ( PARAM–LIST ) P03: TYPE → char P04: TYPE → int P05: TYPE → real P06: PARAM–LIST → TYPE id P07: PARAM–LIST → PARAM–LIST , TYPE id P08: FN–BODY → { VAR–DECL STMT return ( EXPRESN ) ; } P09: VAR–DECL → λ P10: VAR–DECL → TYPE ID–LIST ; P11: VAR–DECL → VAR–DECL TYPE ID–LIST ; P12: ID–LIST → id P13: ID–LIST → ID–LIST , id P14: STMT → λ P15: STMT → SIMPLE–STMT P16: STMT → SELECT–STMT P17: STMT → REPEAT–STMT P18: STMT → SEQUENCE–STMT P19: SIMPLE–STMT → ASSIGN–STMT P20: SIMPLE–STMT → FN–CALL–STMT P21: ASSIGN–STMT → var = EXPRESN ; P22: EXPRESN → ARITH–EXP P23: EXPRESN → BOOL–EXP P24: ARITH–EXP → TERM P25: ARITH–EXP → ARITH–EXP ADD–OP TERM P26: ADD–OP → + P27: ADD–OP → – P28: TERM → FAC P29: TERM → TERM MUL–OP FAC P30: MUL–OP → *…