import randomimport jsondef intermediate_step_multi_run_process(request):    def generate():        counter = 0        while counter < 2:            time.sleep(0.3)            random_no_list = []             for i in range(1000000000):                random_no = random.random() ** 2                random_no_list.append(random_no)            random_no_list = json.dumps(random_no_list)            yield "data:" + random_no_list + "\n\n"            counter += 1    return StreamingHttpResponse(generate(), content_type="text/event-stream")           The above stated is an async function triggered by a websocket in a web application to render the list of 100 million squared random numbers. What is the possible error that this piece of code could result in a wsgi application and why?

Import wait_random from the previous python file that you’ve written and write an async routine called wait_n that takes in 2 int arguments (in this order): n and max_delay. You will spawn wait_random n times with the specified max_delay.wait_n should return the list of all the delays (float values). The list of the delays should be in ascending order without using sort() because of concurrency.

Suppose you are writing a python web client to access an API of an online supermarket. Given below are the API details.Base URL= http://host1.open.uom.lk:8080Write a python program to create a new product with the following information in JSON format. Print the response code of the request.{        "productName":"Araliya Basmathi Rice",        "description":"White Basmathi Rice imported from Pakistan. High-quality rice with extra fragrance. Organically grown.",        "category":"Rice",        "brand":"CIC",        "expiredDate":"2023.05.04",        "manufacturedDate":"2022.02.20",        "batchNumber":324567,        "unitPrice":1020,        "quantity":200,        "createdDate":"2022.02.24"}Answer:(penalty regime: 0 %)

Suppose you are writing a python web client to access an API of an online supermarket. Given below are the API details.Base URL= http://host1.open.uom.lk:8080Write a python program to create a new product with the following information in JSON format. Print the response code of the request.{        "productName":"Araliya Basmathi Rice",        "description":"White Basmathi Rice imported from Pakistan. High-quality rice with extra fragrance. Organically grown.",        "category":"Rice",        "brand":"CIC",        "expiredDate":"2023.05.04",        "manufacturedDate":"2022.02.20",        "batchNumber":324567,        "unitPrice":1020,        "quantity":200,        "createdDate":"2022.02.24"}Answer:(penalty regime: 0 %)12345678910111213141516171819202122232425import requestsimport json# Define the URLurl = "http://host1.open.uom.lk:8080"# Define the headersheaders = {'Content-Type': 'application/json'}# Define the product datadata = { "productName": "Araliya Basmathi Rice", "description": "White Basmathi Rice imported from Pakistan. High-quality rice with extra fragrance. Organically grown.", "category": "Rice", "brand": "CIC", "expiredDate": "2023.05.04", "manufacturedDate": "2022.02.20", "batchNumber": 324567, "unitPrice": 1020, "quantity": 200, "createdDate": "2022.02.24"}# Convert the data to JSON formatjson_data = json.dumps(data)

Define a function BMRCalculator(), which would complete the above-mentioned processes from section 1.1 to 1.7:Within the function, print the message "Would you like to try again? [Y/N]".If the user types 'Y', BMRCalculator() will repeat the process.If the user types 'N', the program will stop. When the program stops, it returns the python dictionary with the whole data, write the data in a json file 'data.json'.The json file should include key and value pairs (id, attributes) where each item reppresents a person. The value itself is a dictionary with {name, gender, age, height, mass, weight, bmr}.HintUse similar codes in section 1.7 to create the file, but with the following codes:value_tup = (name, gender, age, height, weight, bmr)dic_item = dict(zip(key, value_tup))Call the function you defined and input at least 5 data items (people)Example output for file data.json:{ "0": { "name": "Mark", "gender": 1, "age": 29, "height": 180, "weight": 156.0, "bmr": 1765.0 }, "1": { "name": "Jenny", "gender": 2, "age": 21, "height": 150, "weight": 90.0, "bmr": 1121.5 }, "2": { "name": "Xia", "gender": 2, "age": 29, "height": 170, "weight": 110.0, "bmr": 1306.5 }, "3": { "name": "Brian", "gender": 1, "age": 20, "height": 169, "weight": 132.0, "bmr": 1621.25 }, "4": { "name": "Cleo", "gender": 1, "age": 20, "height": 166, "weight": 110.0, "bmr": 1492.5 }}

Define a function BMRCalculator(), which would complete the above-mentioned processes from section 1.1 to 1.7:Within the function, print the message "Would you like to try again? [Y/N]".If the user types 'Y', BMRCalculator() will repeat the process.If the user types 'N', the program will stop. When the program stops, it returns the python dictionary with the whole data, write the data in a json file 'data.json'.The json file should include key and value pairs (id, attributes) where each item reppresents a person. The value itself is a dictionary with {name, gender, age, height, mass, weight, bmr}.HintUse similar codes in section 1.7 to create the file, but with the following codes:value_tup = (name, gender, age, height, weight, bmr)dic_item = dict(zip(key, value_tup))