The tree command prints all files/directories contained in the current di- rectory as a tree. If we run ./tree from the cs214 directory, we should see: hw1 - factor.c - grep.c - monster.c - sort.c - uniq.c hw2 - find.c 1s.c Makefile - tree.c
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- implement a python code that is a filesystem using a tree data structure. If the specific path does not exist, disregard that file using the code template given in this pastebin link: https://pastebin.com/NuPaPAFT The input format is as follows, the first line is the name of the root directory second line is the number of subdirectories that follows For the next files that follows, the format is: Filename-root node,next path,next path,... Please note the output format. Sample input 1: C12Users-CWindows-CProgramFiles-CAdobe-C,ProgramFilesSteam-C,ProgramFilesferdie-C,Usersjohn-C,Usersguest-C,UsersFirmware-C,WindowsSystem-C,WindowsDocuments-C,Users,ferdieDownloads-C,Users,ferdie Output: C Users ferdie Documents Downloads john guest Windows Firmware System ProgramFiles Adobe SteamIn this task, we would like to generate a keyed hash (i.e. MAC) for a file. We can use the “-hmac” option (this option is currently undocumented, but it is supported byopenssl). The following example generates a keyed hash for a file using the HMAC-MD5 algorithm. The string following the “-hmac” option is the key. “openssl dgst -md5 -hmac "abcdefg" filename” Please generate a keyed hash using HMAC-MD5, HMAC-SHA256, and HMAC-SHA1 for any file that you choose. Please try several keys with different lengths. 1. Do we have to use a key with a fixed size in HMAC? 2. If so, what is the key size? 3. If not, why?Given the values in order: 5 8 10 30 34 50 68 80 98 restore the binary search tree of minimum height using the code shown below: void Restore(ifstream & infile, ptrType & nodePtr, int numOfRecords) { if (numOfRecords > 0) { nodePtr = new treeNode; Restore (infile, nodePtrLChildPtr, numOfRecords/2); infile >> newItem; // overloaded >> operator nodePtrItem = newItem // overloaded = operator Restore(infile, nodePtrRChildPtr, (numOfRecords-1)/2 } else nodePtr = NULL; } After the BST tree is built, show the order of the nodes when post-order traversal is applied.
- q6) Which of the following linked list can move only in one direction to access the data of the node? a. Single linked list b. Circular Double linked list c. None d. Double linked listSuppose we have a table: Doctor (DOCNO INT, DocName INT, Specialization VARCHAR(10), Salary Float) and it has an extendible hashing index. The hash function h (k) uses two rightmost bits of binary value of the number k and global depth of the directory structure is 2. The bucket size is four records ie it can store upto 4 records. Insert the elements 13, 22, 4, 2, 19, 6, 14, 16, 26, 28, 8, 7, 23,24 using extendible hashing technique.Please help me with this code becuase I dont think my output is correct. QUENEMAIN.CPP #include <iostream>#include <fstream>#include <cstdlib>#include <string>#include <stdexcept>#include <cassert>#include "LinkedQueue.h"using namespace std; /*** Name of input file containing officer names*/const char INPUT_FILE[] = "Alamo.csv";/*** Inputs data from a text file and places each officer's name into the* queue passed as a parameter.* @param officers - dynamic queue of Confederate officers in the Civil War*/void loadQueue(LinkedQueue<string> &officers); /*** Displays a list of officers removed from the queue and also displays* the name of the officer going for help. Retrieves officers from the * officers queue, one at a time, counting as each is retrieved. If the * count is not equal to hatNumber, the officer is put back into the* queue. When the count reaches hatNumber, that officer is removed from* the queue permanently (i.e., not put back…
- You can make this code connection functions between P2P machines: import threading import socket import pickle import time import struct import hashlib import os class FileManager(object): def __init__(self): self.files = {} self.download_path = "" def hash_data(self, data): hasher = hashlib.md5() hasher.update(data) return str(hasher.hexdigest()) def hashFile(self, filepath): hasher = hashlib.md5() try: with open(filepath, "rb") as afile: buf = afile.read() while len(buf) > 0: hasher.update(buf) buf = afile.read() return hasher.hexdigest() except: print("Couldn't find/hash file " + filepath) def refresh(self): for i in list(self.files): if self.files[i]["path"] is not None: if not os.path.exists(self.files[i]["path"]): print(…Using the attached shell program (AirportCombos.cpp), create a list of strings to process and place on a STL DEQUE container. Using the provided 3 char airport codes, create a 6 character string that is the origin & destination city pair. Create all the possible origin/destinations possible combinations from the airport codes provided. Load the origin/destination string onto a queue ( using the STL deque) for processing. Do not load same/same values, such as DALDAL, or LAXLAX. See comments in the program from more details. Do not confuse the term queue with the 'queue' container. A queue provides data in a First-in First-out (FIFO) order. A 'queue' container adapter is a coding definition that can be built using vectors or lists or deques. After loading the values, display all the values in the container. #include <iostream>#include <string> using namespace std; const int AIRPORT_COUNT = 12;string airports[AIRPORT_COUNT] =…def count_never_close(directorypath,list_of_locations,distance):"""return how many of the entities in the directory are never withinthe distance of any of the locations in the list.:param directorypath::param list_of_locations: list of tuples (lat,long):param distance::return: the count"""passENTITIES:ID,City,State,Latitude,LongitudeA45419E,Plattsburgh,NY,44.704021,-73.471148A19312D,Aiken,SC,33.554433,-81.69588A90172S,Tuscaloosa,AL,33.170238,-87.616169A19394D,Alexandria,VA,38.819853,-77.059645A27218D,Pittsburgh,PA,40.47441,-79.950968A68626D,Meadville,PA,41.611599,-80.114891A17494D,Allentown,PA,40.602658,-75.469236A86034S,Tonawanda,NY,42.99704,-78.878659A45142D,Asheville,NC,35.602711,-82.567281A38298S,Atlanta,GA,33.844371,-84.47405A14497Y,Roswell,GA,34.055198,-84.370475A25954D,Austin,TX,30.326374,-97.771258B46374X,Fairhope,AL,30.480713,-87.861306B52199S,Cedar…
- Which of the following concepts make extensive use of arrays?a) Binary treesb) Scheduling of processesc) Cachingd) Spatial localityHow do you access, modify, or search a BST (Binary Search Tree) containing a set of user IDs and passwords?BY USING PYTHON The file100000 in question 2 is shown in question 1. QUESTION 2: Perform a benchmark analysis of the following searching methods:- Linear (Sequential) Search- Binary Search- Hashing Read the file “file100000” into a list. Sort the file using the one of fast sorting algorithms. You can use orderedSequentialSearch, binarySearch, and HashTable code given in https://runestone.academy/runestone/books/published/pythonds/SortSearch/toctree.html. Fill the hash table with key values stored in the file100000. The data values mapping to the key values can be assigned to a string like “Data” + str(key). Make the hash table size 10% bigger. For example you can set self.size = 110017 which is a prime number.Generate a list of 1000 random numbers using random.randint(0,100000). By using the searching methods, make a search of these random numbers. Record their total execution times into a file named “searchStats.txt”. The “searchStats.txt” file should contain entries for…