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Convert your NFA from Homework No. 2 into a DFA. Identify if this DFA is (already) minimized. If it is not, minimize it.
Hint: Use the "table filling method" for minimizing your DFA (if needed).
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- *System Programming (C language) Add to the previous shell the following features: Input file redirection using < Output file redirection, both truncating (>) and appending (>>) #include <stdio.h>#include <stdlib.h>#include <string.h>#include <unistd.h>#include <sys/types.h>#include <sys/wait.h> #define MAX_INPUT_LENGTH 1024#define MAX_ARG_LENGTH 128 void execute_command(char *args[]) {pid_t pid = fork(); if (pid == 0) {// Child processif (execvp(args[0], args) == -1) {perror("Shell");}exit(EXIT_FAILURE);} else if (pid < 0) {// Forking failedperror("Shell");} else {// Parent processwaitpid(pid, NULL, 0);}} int main() {char input[MAX_INPUT_LENGTH];char *args[MAX_ARG_LENGTH];char *token; while (1) {printf("MyShell> ");fgets(input, sizeof(input), stdin); // Remove newline characterinput[strlen(input) - 1] = '\0'; // Tokenize the inputtoken = strtok(input, " ");int i = 0;while (token != NULL) {args[i++] = token;token = strtok(NULL, "…IN C++ Comp Sci 203 Write a program that will copy columns "Feeder" ,"Time Open", and "Time Close" to an existing CSV file called "Feeder Report"#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
- The program, word_frequency, counts the number of occurrences of words in a document. The program takes a filename as a parameter and performs the task. Get the program to run using the attached text file called document.txt. The file contains a piece of text. After you run the program and understand it's logic, modify word_frequency.py to use a binary search tree instead of a dictionary. Tasks: 1. Import a binary search tree 2. Change the filename in the program to reflect the change(s) made Python Only and no other coding languages. Import the module first before running it. Please show output when done. (build off of this file and try not to change too much) word_frequency.py: import sysfilename = sys.argv[1] freq = {}for piece in open(filename).read().lower().split():# only consider alphabetic characters within this pieceword = ''.join(c for c in piece if c.isalpha())if word: # require at least one alphabetic character freq[word] = 1 +…#include <iostream>#include <fstream> #include <cctype> #include <string>#include <chrono> #include "CommonName.h"#include "Name.h" using namespace std; // function prototype(s)string toUpper(string name); int main() { // constant const int SIZE = 1000; fstream inputFile; Name nameList; // cout << names[0].getName(); string name; string ranking; int nextName = 0; string searchKey; inputFile.open("CommonFemaleNames.txt", ios::in); if (!inputFile) cout << "cannot access file"; else cout << "file opened\n"; if (inputFile) { inputFile >> ranking; int ranking_num = stoi(ranking); inputFile >> name; CommonName* newName = new CommonName(ranking_num, name); nameList.addName(newName); cout << newName->getName() << " "; cout << newName->getOrdinal() << endl;…File read write and string manipulation data1.txt(down below) 4,5-t 2,4-d 20-p7int 2D 2nd 2 1080 &c 10-p7int 10th 11-p7int 12-p7int 16-p7int 18-p7int 1st 2,4,5-t 2,4-d 20-p7int 2D 2nd 30-30 3D 3-D 3M 3rd 48-p7int 4-D 4GL 4H 4th 5-p7int 5-T 5th 6-p7int 6th 7-p7int 7th 8-p7int 8th 9-p7int 9th @ @' @- @&M @&P @. @.@.@. @.B. @.B.@. @.C. @.D. @.D.C. @.F. @.F.@.M. @.G. @.H. @.I. @.I.@. @.I.D. @.L. @.L.P. @.M. @.M.@. @.M.D.G. @.N. @.p. @.r. @.R.C.S. @.U. @.U.C. @.V. @.w. @.W.O.L. @/C @/F j54rs54y54d J54rs54yit54 j54rs54yit54s J54rs54ym@n j54rs54ys j54rs54y's J54rs54yvill54 j54rt J54rubb@@l J54rubb@l J54rus@l54m J54rus@l54mit54 j54rvi@ j54rvin j54rvin@ j54rvin54 J54rvis J54rk J54S J54sh J54sh54r J54smin54 j54sp54r J54sp54rs54n J54ss J54ss@ J54ss@b54ll j54ss@k5454d J54ss@lin J54ss@lyn j54ss@my j54ss@mi54s J54ss@myn J54ss@min54 j54ss@nt J54ss54 J54ss54@n j54ss54d J54ss5454 J54ss54y J54ss54lyn J54ss54lt7n J54ss54n j54ss54s J54ssi J54ssy J54ssic@ J54ssi54 kikkl54 kikkl54d kikkl54s…
- Send the code in c++. Pseudocode: Open file Read header While Not End-Of-File Read line Increment record count Close file Declare array with length based on record count Read Header While Not End-Of-File Read line Split line into field(s) Convert numeric values to numeric data types Add field(s) to array or parallel arrays Close file(C Language) Write a program that reads movie data from a CSV (comma separated values) file and output the data in a formatted table. The program first reads the name of the CSV file from the user. The program then reads the CSV file and outputs the contents according to the following requirements: Each row contains the title, rating, and all showtimes of a unique movie. A space is placed before and after each vertical separator ('|') in each row. Column 1 displays the movie titles and is left justified with a minimum of 44 characters. If the movie title has more than 44 characters, output the first 44 characters only. Column 2 displays the movie ratings and is right justified with a minimum of 5 characters. Column 3 displays all the showtimes of the same movie, separated by a space.please do not change def main and attach pic for input and output import image def modify(pic, m):'''Multiply each pixel by m to darken or brighten an image'''pass #You can leave this or remove it#Your code here to change the brightness of the image def main():'''Controls the program'''fname = "https://runestone.academy/runestone/books/published/StudentCSP/_static/beach.jpg"img = image.Image(fname)width = img.getWidth()height = img.getHeight()win = image.ImageWin(width, height)modify(img, 0.5)img.draw(win) main() #Run the program
- In Python: The Broadway dataset contains data for Broadway shows' Capacity (percentage of the theatre filled) and Gross Potential (maximum amount that can be earned) for multiple shows in a specific month and year. Given a CSV file name read from user input, write a program that performs the following tasks: Read in the CSV file as a dataframe. Insert a new column labelled "Size" at the end of the dataframe. The "Size" column contains values in column "Gross Potential" divided by 2. Output the dataframe using the print() function. Create a scatter plot of "Gross Potential" vs "Capacity" with the following marker styling parameters: markers: 'x' color: orange size: values in column "Size" Add the x-label ("Capacity", fontsize = 10), y-label ("Gross Potential", fontsize = 10), and title ("Gross Potential vs Capacity", fontsize = 16) to the figure. Add gridlines to the figure using '--' as linestyle. Save the figure as output_fig.png. Click here to view Input and Output ExampleProgram is not run; error found in print(row) # Import the python CSV moduleimport csv# Create a python file object in read mode for the `baby_names.csv` file: csvfilecsvfile = open('baby_names.csv', 'r')# Loop over a DictReader on the filefor row in csv.DictReaderreader(csvfile): # Print each row print(row) # Add the rank and name to the dictionary: baby_names baby_names[row['RANK']] = row['NAME']# Print the dictionaryprint(baby_names.keys())(True/False): The ReadConsole function reads mouse information from the input buffer
