117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 0-0 } } data[i] = data[i-1]; data[current_index] = entry; used++; template void sequence::attach(const value_type& entry) if(used >= capacity) resize((1.5*capacity) + 1); { } if (current_index >= used) { current_index = 0; advance();
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- 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 40 M ㅏ void sequence::insert(const value_type& entry) if(used capacity) { resize((1.5* capacity) + 1); } if (current_index >= used) { current_index = 0; } for (int i = used; i > current_index; i--) { data[i] = data[i-1];00 H2BH 45 6F84958123455%望859123456印丽的龙12B7M □ 41 42 43 44 50 47 { 60 66 #include #include "Sequence.h" #include using namespace std; 70 namespace CS3358_FA2022 // CONSTRUCTORS and DESTRUCTOR sequence::sequence (size_type initial_capacity) cout << "sequence(size_type initial_capacity) not implemented yet" << endl; } sequence::sequence (const sequence& source) sequence::~sequence() cout << "~sequence() not implemented yet" << endl; } cout << "sequence(const sequence& source) not implemented yet" << endl; // MODIFICATION MEMBER FUNCTIONS void { sequence::resize(size_type new_capacity) cout << "resize(size_type new_capacity) not implemented yet" << endl; } } void sequence::start() cout << "start() not implemented yet" << endl;88 89 90 91 92 WN 93 94 95 96 97 98 99 100 101 107 template void sequence::start() } current_index = 0; template void sequence:: advance() if(is_item()) current_index++; { }
- Student* func () { unique ptr arr[] make_unique ("CSC340") }; // #1 Insert Code int main () ( // #2 Insert Code [ #1 Insert Code]: Write code to keep all the object(s) which element(s) of array arr owns alive outside of the scope of func. [#2 Insert Code]: Write code to have a weak_ptr monitor the object which survived; Then test if it has any owner; Then properly destroy it; Then test again if has any owner; Then destroy the Control Block.typedef struct { short data[4];} MatrixElement; void copy_matrix(MatrixElement m1[], MatrixElement m2[], int ROWS, int COLS) { int i, j, k; for (i = 0; i < ROWS; i++) { for (j = 0; j < COLS; j++) { for (k = 0; k < 4; k++) { m1[i*COLS+j].data[k] = m2[i*COLS+j].data[k]; } } }} void copy_matrix_transpose(MatrixElement m1[], MatrixElement m2[], int ROWS, int COLS) { int i, j, k; for (i = 0; i < ROWS; i++) { for (j = 0; j < COLS; j++) { for (k = 0; k < 4; k++) { m1[i*COLS+j].data[k] = m2[j*ROWS+i].data[k]; } } }} You can assume the following conditions: The matrix m1 is allocated at memory address 0, and matrix m2 immediately follows it. Indices i, j, and k are kept in registers. ROWS and COLS are constants. The cache is initially empty before the function call. The cache is write-back (i.e., only writes back to memory when a line is…An indexer, which functions similarly to an array indexer, may be used to get a value using its associated key. As the index value, a key is provided in, and the value associated with the key is returned, unless the key does not exist, in which case a null is returned.use c#This approach is demonstrated by the following short code segment:
- Can you fix the code please on the first picture shows the error output. // Corrected code #define _CRT_SECURE_NO_WARNINGS #include "LibraryManagement.h" #include "Books.h" #include "DigitalMedia.h" #include "LibraryConfig.h" #include #include #include #include // Include the necessary header for boolean data type // Comparison function for qsort to sort Digital Media by ID int compareDigitalMedia(const void* a, const void* b) { return ((struct DigitalMedia*)a)->id - ((struct DigitalMedia*)b)->id; } // initializing library struct Library initializeLibrary() { struct Library lib; lib.bookCount = 0; lib.ebookCount = 0; lib.digitalMediaCount = 0; // Initialize book array for (int i = 0; i < MAX_BOOK_COUNT; i++) { lib.books[i].commonAttributes.id = -1; // Set an invalid ID to mark empty slot } // Initialize ebook array for (int i = 0; i < MAX_EBOOK_COUNT; i++) { lib.ebooks[i].commonAttributes.id = -1; }…array([[ 1960, 54211], [ 1961, 55438], [ 1962, 56225], [ 1963, 56695], [ 1964, 57032], [ 1965, 57360], [ 1966, 57715], [ 1967, 58055], [ 1968, 58386], [ 1969, 58726], [ 1970, 59063], [ 1971, 59440], [ 1972, 59840], [ 1973, 60243], [ 1974, 60528], [ 1975, 60657], [ 1976, 60586], [ 1977, 60366], [ 1978, 60103], [ 1979, 59980], [ 1980, 60096], [ 1981, 60567], [ 1982, 61345], [ 1983, 62201], [ 1984, 62836], [ 1985, 63026], [ 1986, 62644], [ 1987, 61833], [ 1988, 61079], [ 1989, 61032], [ 1990, 62149], [ 1991, 64622], [ 1992, 68235], [ 1993, 72504], [ 1994, 76700], [ 1995, 80324], [ 1996, 83200], [ 1997, 85451], [ 1998, 87277], [ 1999, 89005], [ 2000, 90853], [ 2001, 92898], [ 2002, 94992], [ 2003, 97017], [ 2004, 98737], [ 2005, 100031], [ 2006, 100832], [ 2007, 101220], [ 2008, 101353], [ 2009, 101453], [ 2010, 101669], [ 2011, 102053], [ 2012, 102577], [ 2013, 103187], [ 2014, 103795], [ 2015, 104341], [ 2016, 104822], [ 2017, 105264]]) Question 2 Now that we have have our…#The Iris Dataset import sklearn.datasetsimport matplotlib.pyplot as plt import numpy as np import scipy iris = sklearn.datasets.load_iris() Write a function that takes in an index i and prints out a verbose desciption of the species and measurements for data point i. For example:Data point 5 is of the species setosaIts sepal length (cm) is 5.4Its sepal width (cm) is 3.9Its petal length (cm) is 1.7Its petal width (cm) is 0.4
- PYTHON + DATAFRAMES (pandas) import pandas as pd crimeData = {'agency_code': ['UT01803','TXSPD00','CA03711','MOSPD00','NY05101'], 'location': ['Salt Lake City, UT','San Antonio, TX','San Diego, CA','St. Louis, MO','Suffolk County, NY'], 'population': [191992,1463586,1400467,317095,1341453], 'homicides': [8,94,37,188,24], 'assaults': [874,5465,3601,3521,895], 'robberies': [469,1986,1378,1790,677]} df = pd.DataFrame(crimeData) df.set_index('agency_code', inplace=True) homicidesPerCapita = {'homicides_per_capita':[4,6,3,59,2,9]} df2 = pd.DataFrame(homicidesPerCapita) df3 = df.join(df2) df3 Questions: Why is printing homicides_per_capita as NaN? Sort the DataFrame by homicides per capita from greatest to least on the original DataFrame Filter/reduce the DataFrame down to only those with more than 50 total homicides OR (not 'and') over 5000 assaults Print the DataFrame Thanks!Duplicate Count Code in C LanguageSTRING-ARRAY C program that scans a single char and prints out only the index/indexes of the character. If there are several matches, separate them by a single line. INPUT- scans a single char SAMPLE:Sample String: TheQuickBrownFoxJumpsOverTheLazyDogInput= TOutput= 0 26