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- Q/Complete the following code in Python (Biometrics for Voice Recognition)import osimport numpy as npfrom pyAudioAnalysis import audioBasicIO, audioFeatureExtraction, audioTrainTestfrom pydub import AudioSegment# Function to capture and save voice samplesdef capture_voice_samples(num_samples, speaker_name):os.makedirs("speakers", exist_ok=True)for i in range(num_samples):input("Press Enter and start speaking...")os.makedirs(f"speakers/{speaker_name}", exist_ok=True)audio = audioBasicIO.read_audio_file(f"speakers/{speaker_name}/sample_{i + 1}.wav")audio = AudioSegment.from_wav(f"speakers/{speaker_name}/sample_{i + 1}.wav")audio.export(f"speakers/{speaker_name}/sample_{i + 1}.wav", format="wav")print(f"Sample {i + 1} saved for {speaker_name}")# Function to extract features from voice samplesdef extract_features():speakers = [d for d in os.listdir("speakers") if os.path.isdir(os.path.join("speakers", d))]all_features = []all_labels = []for i, speaker in enumerate(speakers):features =…Case # 4 is bold where I am stuck. I am trying to list the College input Case 1. I have it input but it only shows the last inser. How do I input the first to last from the college function #include "stdafx.h"#include <iostream>#include <cstdlib>#include <ctime>#include <string>#include <vector>#include <cctype>#include <iterator>#include <algorithm>#include <cmath>#include "ConsoleApplication11.h" using namespace std; string FBTeam;string College;string location;string Price_of_Ticket;int choice; int main(){vector<string> CULIST(5);vector<string> FBTEAM(5);string itemNumber; int num;int tuition = 0;int dorm = 0;int meal = 0;int total_tuition = 0;int average;const int size = 5;double averages[size] = { 0.0 };bool stop = false, itemFound; cout << "--------------------------------------------------------------------------------" << endl;cout << " Colleges in Texas "<< endl;cout <<…Instrument FrequencyCounter to use Stopwatch and StdDraw to make a plot where the x-axis is the number of calls on get() or put() and the y-axis is the total running time, with a point plotted of the cumulative time after each call. Run your program for Tale of Two Cities using SequentialSearchST and again using BinarySearchST and discuss the results. Note : Sharp jumps in the curve may be explained by caching, which is beyond the scope of this question.
- """Q2: Using numpy and pyplot, make an overlapping histogram that shows the score distribution vs. count of R-Rated movies and PG-13 ones.Describe your plot. Save your plot in a variable called plt2, and your dataframes in variables called df_R and df_PG13""" import matplotlib.pyplot as plt2 # your code here plt2.show() """to test Q2: assert_frame_equal(df_R, sol.df_R)assert_frame_equal(df_PG13, sol.df_PG13)np.testing.assert_array_equal(plt2, sol.plt2)print("Success!")Q/Complete the following code in Python language (biometrics) for voice recognition and apply the code, mentioning the approved source if it exists import osimport numpy as npfrom pyAudioAnalysis import audioBasicIO, audioFeatureExtraction, audioTrainTestfrom pydub import AudioSegment# Function to capture and save voice samplesdef capture_voice_samples(num_samples, speaker_name):os.makedirs("speakers", exist_ok=True)os.makedirs(f"speakers/{speaker_name}", exist_ok=True)for i in range(num_samples):input(f"Press Enter and start speaking for sample {i + 1}...")# Recording audio using pyAudioAnalysisaudio = audioBasicIO.record_audio(4, 44100)filepath = f"speakers/{speaker_name}/sample_{i + 1}.wav"audioBasicIO.write_audio_file(filepath, audio, 44100)print(f"Sample {i + 1} saved for {speaker_name}")# Function to extract features from voice samplesdef extract_features():speakers = [d for d in os.listdir("speakers") if os.path.isdir(os.path.join("speakers", d))]all_features = []all_labels =…Twitter Data: twitter_url = 'https://raw.githubusercontent.com/Explore-AI/Public-Data/master/Data/twitter_nov_2019.csv'twitter_df = pd.read_csv(twitter_url)twitter_df.head() Question: Write the Number of Tweets per Day Write a function which calculates the number of tweets that were posted per day. Function Specifications: It should take a pandas dataframe as input. It should return a new dataframe, grouped by day, with the number of tweets for that day. The index of the new dataframe should be named Date, and the column of the new dataframe should be 'Tweets', corresponding to the date and number of tweets, respectively. The date should be formated as yyyy-mm-dd, and should be a datetime object. Hint: look up pd.to_datetime to see how to do this.
- import requests import json mydict = {"cost":0, "KM": 0,"Description": ""} text = """ Welcome to AA Calculator Please select one of the following options: 1. Have a look at the previous entry. 2. Make a new entry. 3. Close the Program. --> """ text2 = """ Here is the list of vehicles, please select one: 1. Hatchback 2. SUV 3. Sports Car --> """ while True: choice = int(input(text)) if choice not in [1,2,3]: print("Incorrect Choice, Try again!") if choice == 3: exit() elif choice == 2: AA_Calc = 'https://raw.githubusercontent.com/tyrone0501/AA-Petrol-Price/main/Cars.json' response = requests.get(AA_Calc) response_json = response.json() dist = float(input("\nHow many meters have you travelled: ")) choice2 = -1 while choice2 not in [1, 2, 3]: choice2 = int(input(text2)) if choice2 not in [1, 2, 3]: print("Incorrect Choice, Try again!") if choice2 == 1:…Regex, APIs, BeautifulSoup: python import requests, refrom pprint import pprintfrom bs4 import BeautifulSoup complete the missing bodies of the functions below: def mathmatic(target):"""Question 1You are doing fun math problems. Given a string of combination of '{}', '[]','()', you are required to return the substring included by the outermost '{}'.You need to write your code in one line.Args:target (str): the string to search inReturns:str>>> mathmatic('{[[[[]()]]]}')'[[[[]()]]]'>>> mathmatic('[(){([{}])}]')'([{}])'"""pass test code: # print(mathmatic('{[[[[]()]]]}'))# print(mathmatic('[(){([{}])}]'))// Task 2 // For this function, you must build a string that when printed,// will output the entire binary representation of the integer x,// no matter how many bits an integer is. You may NOT use// division (/) or mod (%) anywhere in your code, and should// instead rely on bitwise operations to read the underlying binary// representation of x.stringbuilder get_bin_1(int x) { stringbuilder sb = new_sb(); sb_append(sb, '$'); return sb;}
- STEP 1: Begin work within your Jupyter Notebook by importing the following modules: import numpy as np import pandas as pd from matplotlib import pyplot as plt import re Jupyter Notebooks Q1. Within your Jupyter Notebook, write the code for a Python function called def parseWeatherByYear(year) : This function will parse an html page containing weather for an entire year of data for the city of Toronto. The html pages containing weather data can be downloaded from: https://www.extremeweatherwatch.com/cities/toronto/year-2023 The file to parse for this lab however can be downloaded here: https://matrix.senecacollege.ca/~danny.abesdris/prg550.232/labs/lab6/torontoWeather.2023.html The html file itself contains markers as where to begin parsing the data to extract. The 3 pieces of data that must be extracted consist of the high and low temperatures (in degrees Celsius) as well as the amount of precipitation (in cm) for every day so far in the current year (2023). A series…def sum_string(string: str) -> int:"""Given a string <string>, return the sum of this string, as computed by theformula given below: To compute the sum of a string as defined by this function, we add everyodd positioned digit, and subtract every even positioned digit. For example,if we had an input of "54321", we would add 5, subtract 4, add 3, subtract2, and add 1, bringing us to a total of 3. In other words, you would add thefirst digit, subtract the second digit, and keep alternating until you reachthe end of the string. If the string is empty, then the sum is 0. Note: since we give the input as a string, you will have to do some typeconversion in order to solve this problem. Precondition: <string> will only contain the characters 0-9."""pass " please do this on python and don't use any import functions"# Create Custom Transformer Create a custom transformer, just as we did in the lecture video entitled "Custom Transformers", that performs two computations: 1. Adds an attribute to the end of the numerical data (i.e. new last column) that is equal to $\frac{x_1^3}{x_5}$ for each observation. In other words, for each instance, you will cube the $x_1$ column and then divide by the $x_5$ column. 2. Drops the entire $x_4$ feature column if the passed function argument `drop_x4` is `True` and doesn't drop the column if `drop_x4` is `False`. (See further instructions below.) You must name your custom transformer class `Assignment4Transformer`. Your class should include an input parameter called `drop_x4` with a default value of `True` that deletes the $x_4$ feature column when its value is `True`, but preserves the $x_4$ feature column when you pass a value of `False`. This transformer will be used in a pipeline. In that pipeline, an imputer will be run *before* this transformer. Keep…