Input Format: First line will contain number of rows m of inmatrix The next m lines will contain the elements of inmatrix. Each line will have n elements separated by ',' (comma) The next line will contain innum. Read the inputs from the standard input stream. Output format: Print outarray, with the elements separated by ',' (comma)to the standard output stream. Sample input 3 12,3,8 8,2,44 6,2,2 1 Sample Output 54,10,23
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Input Format:
First line will contain number of rows m of inmatrix
The next m lines will contain the elements of inmatrix. Each line will have n elements separated by ',' (comma)
The next line will contain innum.
Read the inputs from the standard input stream.
Output format:
Print outarray, with the elements separated by ',' (comma)to the standard output stream.
Sample input
3
12,3,8
8,2,44
6,2,2 1
Sample Output
54,10,23
Step by step
Solved in 2 steps
- Integer dataSize is read from input. Then, strings and integers are read and stored into string vector subjectList and integer vector pageList, respectively. Lastly, integer pageThreshold is read from input. Set matchCount with the number of element pairs with a page greater than or equal to pageThreshold. Output the subject of each pair found with a page greater than or equal to pageThreshold. End with a newline. Ex: If the input is: 3 Environment 416 Cooking 353 Science 306 349 Then the output is: Environment Cooking Total: 2 By using the following code: #include #include using namespace std; int main() { int numElements; int pageThreshold; int matchCount; unsigned int i; cin >> numElements; vector subjectList(numElements); vector pageList(numElements); for (i = 0; i < subjectList.size(); ++i) { cin >> subjectList.at(i); cin >> pageList.at(i); } cin >> pageThreshold; /* Your code goes here */ cout << "Total: " << matchCount;…Input with the stream extraction operator >> always skips leading white-space charactersin the input stream, by default. T/F• Your program reads one text file:– input.txt• Your program creates a text file:– output.txt• Your program solves the following problem:– You are given a water level information L. Condition: 0<L<128.– You are given a terrain information (elevation matrix M). Condition: 0M[i][j]<128 8i,j<512.– Definition of an island: An island is the collection of terrain points( elevation values M[i][j]), abovewater( greater than L value), from which you can find a path to any other without having to pass thepath through water.– Definition of a path: A path is an ordered set of points where successive points have either their Xcoordinates the same and their Y coordinates different only by one in magnitude (so can be y - 1 or y +1); or have their Y coordinates the same and have their X coordinates different only by one in magnitude(so can be x - 1 or x + 1). But not both of them: in other words they have to touch either in the Xdirection or in the Y direction, and not in the diagonal.–…
- Taking the attached code as a basis: Employee.py. Write code that reads from the attached comma-delimited file EmplData.txt to initialize a list of Employee objects. Then, using the initialized objects print a list of Employee IDs, Last Names, and Weekly Pay both to the screen and to a common delimited file (one line per entry) Use a Filter to also generate output limited to employees whose weekly salary is over $2600. Employee.py #create this sample class that uses encapsulation and class methods class Employee: # Private variables and methods names should be preceded with __ (two underscores) __hourly_rate = None __weekly_hours = None __last_name = None __first_name = None def __init__(self, l, f, h, w): self.__hourly_rate = h self.__weekly_hours = w self.__last_name = l self.__first_name = f def setLastName(self, last_name): self.__last_name = last_name def getLastName(self): return…DataFile.txt contains the information of poker cards. 1. C: clubs (lowest), D: diamonds, H: hearts, S: spades (highest) 2. 2 (lowest), 3, 4, 5, 6, 7, 8, 9, 10, J, Q, K, A 3. No Joker cards 4. Any C cards are lower than any D cards. DataFile Content (You can write the file specification into your program.) : H4,C8,HJ,C9,D10,D5,DK,D2,S7,DJ,H3,H6,S10,HK,DQ,C2,CJ,C4,CQ,D8,C3,SA,S2,HQ,S8, C6,D9,S3,SQ,C5,S4,H5,SJ,D3,H8,CK,S6,D7,S9,H2,CA,C7,H7,DA,D4,H9,D6,HA,H10,S5,C10 H4, D5, HK, D2 H4, HK, SK C9,C10 1. Create a list by dynamic allocated array and set the size to 20 2. Read the first 20 cards in the first line of the file, the put them one by one into the list by implementing and using putItem(). The list must be kept sorted in ascending order. Then print out all the cards in the list in one line separating by commas. 3. Then delete the cards indicated in the second line of the file by using deleteItem() Then print out all the cards in the list in one line separating by commas. 4. Then put…Read student data in the form Jane Lee 100 98 97 100 Aaron X. Schmidt 37 42 49 54 Frank von Tardy 2 3 10 7 ... Use getline to read the name of the student. Then read the next line and convert it to an input string stream. Read the numbers from the input stream, adding them to the total. Print the name and total score for each student.
- Edit the following code to read the input for 10 students from a file testData1.txt and output the average of scores for 10 students using a loop. #include <fstream>using namespace std;#include <iomanip>int main(){string name1,name2,name3;double score1,score2,score3;char c1,c2,c3;double avg;ifstream inputFile;ofstream outputFile;inputFile.open("testData1.txt");outputFile.open("Results.txt");inputFile.clear();inputFile>>name1>>score1>>c1;inputFile.clear();inputFile.ignore(200,'\n');inputFile>>name2>>score2>>c2;inputFile.clear();inputFile.ignore(200,'\n');inputFile>>name3>>score3>>c3;avg =(score1 + score2 +score3)/3.0;outputFile << endl<<setw(20)<<left<<"Name" <<setw(20)<<"Score"<<setw(20)<<left<<"School Year";outputFile << endl<<setw(20)<<left<<"----" <<setw(20)<<"-----"<<setw(20)<<left<<"-----------";outputFile…Please Program in python and leave comments to help explain here is the google drive with the Test.xlsm file: https://drive.google.com/drive/folders/16utzb5_h7yMCN8_13E_JqasfcpykZOYr?usp=sharing The objective is to create a code in Python that can extract the columns highlighted in blue and output them to a .txt file. The code should be able to generate the text file with the columns that are highlighted in blue and store them on a seperate folder. Below shows how the Test.xlsm file looks like as well as how the text file should look like when the code extracts and outputs it.Please Program in python and leave comments to help explain here is the google drive with the Test.xlsm file: https://drive.google.com/drive/folders/16utzb5_h7yMCN8_13E_JqasfcpykZOYr?usp=sharing The objective is to create a code in Python that can extract the columns highlighted in blue and output them to a .txt file. The code should be able to generate the text file with the columns that are highlighted in blue and store them on a seperate folder. Below shows how the Test.xlsm file looks like as well as how the text file should look like when the code extracts and outputs it. The attached images is how we want to format the text file when/after extracting the columns highlighted in blue. The code should name the output text file according to the sheet name " Correct-L.txt " and its header should contain " Band Group Number Time " just so we know where it begins or when the next column is.
- The BufferedReader reads one line of text at a time. If there are several data items in a single line, we can separate the data into individual items by using this method of the String class. a) divide b) split d) parse e) none of the aboveConstruct the data using the sample() function: # change n <- your id/100n <- 12345/100a <- sample(n, 30, replace = T)b <- sample(n, 30, replace = T)c <- sample(n, 30, replace = T)d <- sample(n, 30, replace = T)mydata <- data.frame(a,b,c,d)head(mydata) Create a loop over the columns and create a histogram of the data in each column.• First, set up a 2 by 2 plotting space with par(mforw())• Next, write a loop to create four histograms for a,b,c, and d.Construct the data using the sample() function: # change n <- your id/100n <- 12345/100a <- sample(n, 30, replace = T)b <- sample(n, 30, replace = T)c <- sample(n, 30, replace = T)d <- sample(n, 30, replace = T)mydata <- data.frame(a,b,c,d)head(mydata) Create a loop over the columns and create a histogram of the data in each column.• First, set up a 2 by 2 plotting space with par(mforw())• Next, write a loop to create four histograms for a,b,c, and d. Write in R. Please and thank you.