write a mongodb code to add the ‘Publication_Year’ to the whole coe ,iwith value ‘1932’.
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Insertion
db.books.insertMany([
{
"_id": "78945612",
"Title": "The Hobbit",
"Author": "J.R.R. Tolkien"
},
{
"_id": "65432187",
"Title": "DaVinci Code",
"Author": "Daneil Brown"
},
{
"_id": "your id",
"Title": "DBS311",
"Author": "your name"
}
])
write a mongodb code to add the ‘Publication_Year’ to the whole coe ,iwith value ‘1932’.
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- Implement a blog server in C 1. Implement get of all posts (GET /posts), and individual post (GET /post/1) 2. Implement creation of post (POST /posts). Allow the user to enter their name, but check that they are a valid user in db. Do error checking! The user should not specify the post id; that should come from the database. 3. Write three html files to test this; serve them with the blog server: index.html shows the list of posts with a link to each. post.html shows a post. publish.html allows the creation of a new post. Link these together as a user would expect!Please correct the code for this lab. Current code: import random def create_random_open_ports(): #Create empty list / dictionary port = [] ports = {} #Fill list with 100 random port numbers from 10 - 100 for i in range(1,101): random_port = random.randint(10, 100) port.append(random_port) #Create a new dictionary with ports numbers as keys new_ports = ports.fromkeys(port, 0) #Iterate through new dictionary add random 0 / 1 #Closed port = 0, Open port = 1 for key in new_ports: r1 = random.randint(0,1) new_ports[key] = r1 return new_ports # TODO: create a function called create_host_IPs() that randomly generates a list of 10 IP addresses # concatenating the 4 values into a string and appending it to a host list. The function returns the generated # host list def create_host_IPs(): host = [] octet1 = "" octet2 = "" octet3 = "" octet4 = "" #Add loop with range 1 - 11 to create the 10 host IPs EX: 192.123.11.1…Please fix this JAVA code so that it will not overwrite the contents of the file every time I click on a row @Overridepublic void valueChanged(ListSelectionEvent event) {File file = new File("sample json file");int row = table.getSelectedRow();JSONObject obj = (JSONObject) jsonArray.get(row);ObjectMapper mapper = new ObjectMapper();mapper.enable(SerializationFeature.INDENT_OUTPUT);try {JsonGenerator g = mapper.getFactory().createGenerator(new FileOutputStream(file));mapper.writeValue(g, obj);g.close();} catch (IOException e) {throw new RuntimeException(e);}}});
- DEFAULT_SIZE = (256, 512) import torch class LaneDataset(torch.utils.data.Dataset): def__init__(self, dataset_path, train=True, size=DEFAULT_SIZE): # code here def__getitem__(self, idx): # code here return image, segmentation_image, instance_image # l x H x W [[0, 1], [2, 0]] def__len__(self): # code here The output dimension of the instance segmentation embedding should be equal to 5.1. a JFrame objects content panel is a(n)________ of type _________ A. object; container B. object; JPanel C. primitive; int D. primitive; double E. none of the above 2. You have a large array that you want to be sorted In ascending order. Under what circumstances would the bubblesort algorithm sort that array very quickly? A. if the array is initially in descending order B. if the array elements can be mapped to a linked list C. if the array elements are already close to their eventual sorted position D. if the array elements are string objects E. never, heapsort will always be fasterWhich element is stored at index 1 after the following sequence? ArrayList<String>groceryList;groceryList=newArrayList<String>();groceryList.add("Bread");groceryList.add("Apples");groceryList.add("Grape Jelly");groceryList.add(1,"Peanut Butter");groceryList.set(1,"Frozen Pizza");groceryList.remove(1); Bread Peanut Butter Apples Frozen Pizza For the given code, when is numType.setText() called? publicclassOddEvenextendsJFrameimplementsChangeListener{privateJSpinnernumSpinner;privateJTextFieldnumType;...numSpinner.addChangeListener(this);...@OverridepublicvoidstateChanged(ChangeEventevent){IntegernumValue;numValue=(Integer)numSpinner.getValue();if(numValue%2==0){numType.setText("Even");}else{numType.setText("Odd");}}...} Every time numSpinner's value changes Only the first time numSpinner's value changes Every time numSpinner's…
- 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…get_avg_ratings() takes a 2-D list similar to ratings_db as the parameter and returns a dictionary, where each {key: value} of this dictionary is {a valid movie id: the average rating this movie received by the reviewers}. I will refer to this dictionary as ratings.>>> ratings = get_avg_ratings(ratings_db)>>>> display_dict(ratings)1: 3.922: 3.433: 3.264: 2.365: 3.076: 3.957: 3.198: 2.889: 3.1210: 3.511: 3.6712: 2.4213: 3.1214: 3.83 15: 3.016: 3.9317: 3.7818: 3.719: 2.7320: 2.5 userId,movieId,rating,timestamp1,1,4,9649827035,1,4,8474349627,1,4.5,110663594615,1,2.5,151057797017,1,4.5,130569648318,1,3.5,145520981619,1,4,96570563721,1,3.5,140761887827,1,3,96268526231,1,5,85046661632,1,3,85673611933,1,3,93964744440,1,5,83205895943,1,5,84899398344,1,3,86925186045,1,4,95117018246,1,5,83478790650,1,3,151423811654,1,3,83024733057,1,5,965796031Computer Science Write a python program that reads the data file https://archive.ics.uci.edu/ml/machine-learning-databases/eventdetection/CalIt2.data and finds the total count of outflow and the total count of inflow. The attributes in the file are as follows: 1. Flow ID: 7 is out flow, 9 is in flow 2. Date: MM/DD/YY 3. Time: HH:MM:SS 4. Count: Number of counts reported for the previous half hour Rows: Each half hour time slice is represented by 2 rows: one row for the out flow during that time period (ID=7) and one row for the in flow during that time period (ID=9) Hint: # Importing the dataset dataset = pd.read_csv('CalIt2.data') https://archive.ics.uci.edu/ml/machine-learning-databases/event-detection/CalIt2.data this link should work.
- Using your Server that streams the Dictionary Based Object from question2 to a Client defined in question4. Note that streaming the fields in the dictionary is NOT streaming the Dictionary Based Object. question 2 : import json class CO2Data: def __init__(self, json_data): self.data = json.loads(json_data) def sort_by_key(self): self.data = dict(sorted(self.data[0].items())) def sort_by_value(self): self.data = dict(sorted(self.data[0].items(), key=lambda x: x[1])) def search_by_key(self, key): for item in self.data: if key in item: return item return None def to_json(self): return json.dumps(self.data) url = 'https://gml.noaa.gov/webdata/ccgg/trends/co2/co2_mm_mlo.txt'web_scraping = WebScraping(url)json_data = web_scraping.extract_data() co2_data = CO2Data(json_data)co2_data.sort_by_key()print(co2_data.to_json()) co2_data.sort_by_value()print(co2_data.to_json())…Create a .txt file with 3 rows of various movies data of your choice in the following table format: Movie ID number of viewers rating release year Movie name 0000012211 174 8.4 2017 "Star Wars: The Last Jedi" 0000122110 369 7.9 2017 "Thor: Ragnarok" Create a class Movie which instantiates variables corresponds to the table columns. Implement getters, setters, constructors and toString. ----Important 1. Implement two search methods to search Movies by their rating from unsorted array and by year (first) and a rating (second) from unsorted List. Test your methods and explain their time complexity.Hi need you to add the feature that is in the picture to the code down below, please def add():id = input("Enter ID:")f = open("data.txt", "r")id_list = []lines = f.readlines()if lines != "":for line in lines:token = line.split(" ")id_list.append(token[0])for i in id_list:if i == id:print("The student record is already in the database!Zero records added")returnf.close()file = open("data.txt", "a")name = input("Enter name: ")course = input("Enter course: ")absences = int(input("Enter absences: "))exam1 = int(input("Enter exam 1 grade: "))exam2 = int(input("Enter exam 2 grade: "))marks = int(input("Enter Total Marks: "))s = id+" "+name+" "+course+" "+str(absences)+" "+str(exam1)+" "+str(exam2)+" "+str(marks)+"\n"file.write(s)file.close() while True:print("1.Add a student")print("Any other numeric to terminate")choice = int(input())if choice == 1:add()else:break
