Which parameter should we use with the Get-Command cmdlet to filter our query if If we want to find all cmdlets in the ActiveDirectory module?

Add in loader spinners within each button in the Logs page. Currently it takes a very long time to load players/stats/etc. This is understandable given the amount of data. While the query is going on behind the scenes, please add loaders into the buttons — Player, Stats, Min/Max Timestamps (and make them non-clickable) — so that is it clear what the user is waiting on. Here is the filter code: import { map } from 'lodash'import React from 'react'import { Button } from 'reactstrap' import * as Dropdowns from './dropdowns' const isSubmittable = filterOptions => {if (!filterOptions.sport|| !filterOptions.schema|| !filterOptions.event) return false return true} const BetFeedFilters = props => {const { metadata, selectedMetadata, updateApiDropdown, filterOptions, events, players, stats, timestamps, submitApiCall, loading } = props if (!metadata) return <div></div> return (<div style={{ paddingTop: 10, paddingBottom: 10, display: 'flex', flexDirection: 'column', gap: 20,…

Please write a code for Edit and Delete function in Backbone framework. Please Just simple create example , and let the function work properly.

this is a nodejs page .it works well on my pc , i am trying to run it on heroku . the others pages are all working ,only this index page cant be work . how could i fix this issue ? const express = require('express');const exphbs = require('express-handlebars');const bodyParser = require("body-parser");const fs = require("fs");const createError = require("http-errors");const passport = require("passport");const path = require("path");const session = require("express-session");var cookieParser = require("cookie-parser");var logger = require("morgan"); var app = express();app.engine('hbs', exphbs({defaultLayout: false, extname:'.hbs',})); app.set("views", path.join(__dirname, "views"));app.set("view engine", "hbs");app.use(logger("dev"));app.use(express.json());app.use(express.urlencoded({ extended: false }));app.use(cookieParser());app.use(express.static(path.join(__dirname, "/public")));app.use(bodyParser.urlencoded({ extended: false }));app.use(bodyParser.json()); var userLogin = {};…

Please help me with this problem. Thank you Testing Your MergeSorter: I have given you a very limited set of JUnit tests to help determine if your implementation is correct. You need to add at least 5 more JUnit tests for the mergeSort method that test typical and edge cases. You are welcome to create more than five JUnit tests, but as long as you create and pass five JUnit tests package divideandconquer; import static org.junit.Assert.*; import org.junit.Before;import org.junit.BeforeClass;import org.junit.Test; public class MergeSorterTest {     @BeforeClass    public static void setUpBeforeClass() throws Exception {    }     @Before    public void setUp() throws Exception {    }     @Test    public void test() {        int[] nums = new int[]{4,3,2,1};        int[] sorted = new int[] {1,2,3,4};        MergeSorter.mergeSort(nums);        assertArrayEquals(sorted,nums);    } }

Try switching the joins pthread_join(tid2, NULL); pthread_join(tid1, NULL); Do you see any difference? Please report if and why you do or do not see any difference in terms of the randomness in the result of the shared resource.  In the inc_dec_resource() function, implement mutual exclusion (pthread_mutex_lock) to ensure that the result becomes 0 every time when you execute your program. Put your updated code in the report (highlighted) and show your screenshot of the execution by running the script three time using $ time ./shared_resource_mutex. Hint: Your loop is incrementing/decrementing the resource which should be protected by each thread while it is executing that portion.   #include <stdio.h> #include <pthread.h>   #define iterations 300000000 long long shared_resource = 0;   pthread_mutex_t mutex = PTHREAD_MUTEX_INITIALIZER; // Thread function to modify shared resource void* inc_dec_resource(void* arg){     //get the pointer from main thread and dereference it…

Complete the docstring using the information attached (images):def upgrade_stations(threshold: int, num_bikes: int,                     stations: List["Station"]) -> int:    """Modify each station in stations that has a capacity that is less than    threshold by adding num_bikes to the capacity and bikes available counts.    Modify each station at most once.     Return the total number of bikes that were added to the bike share network.     Precondition: num_bikes >= 0     >>> handout_copy = [HANDOUT_STATIONS[0][:], HANDOUT_STATIONS[1][:]]    >>> upgrade_stations(25, 5, handout_copy)    5    >>> handout_copy[0] == HANDOUT_STATIONS[0]    True    >>> handout_copy[1] == [7001, 'Lower Jarvis St SMART / The Esplanade', \                            43.647992, -79.370907, 20, 10, 10]    True    """

Any comments i could add to this? package attendance; import java.sql.Connection;import java.sql.DriverManager;import java.sql.SQLException;import java.sql.Statement; public class SqliteDB {Connection conn = null;Statement stmt = null;public SqliteDB() throws ClassNotFoundException {//try to connect with dbtry {Class.forName("org.sqlite.JDBC");// db parametersString url = "jdbc:sqlite:C:/sqlite/db/attendance.db";// create a connection to the databaseconn = DriverManager.getConnection(url);System.out.println("Connection to SQLite has been established.");} catch (SQLException e) {System.out.println(e.getMessage());}}public void executeQuery(String query) {try {this.stmt = conn.createStatement();stmt.execute(query);}catch (Exception e) {System.out.println(e);}}public void closeConnection() {try {this.conn.close();}catch( Exception e) {System.out.println(e);}}}

I've wrote a script to find the top three features for a random forest, but it is not work.please assist to fix the below code. #Import scikit-learn dataset libraryfrom sklearn import datasets#Load datasetiris = datasets.load_iris()# Creating a DataFrame of given iris dataset.import pandas as pdimport numpy as npdata=pd.DataFrame({'sepal length':iris.data[:,0],'sepal width':iris.data[:,1],'petal length':iris.data[:,2],'petal width':iris.data[:,3],'species':iris.target})iris['target_names']print(data.head())# Import train_test_split functionfrom sklearn.model_selection import train_test_splitX=data[['sepal length', 'sepal width', 'petal length', 'petal width']] # Featuresy=data['species'] # Labels# Split dataset into training set and test setX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)#Import Random Forest Modelfrom sklearn.ensemble import RandomForestClassifier#Create a Gaussian Classifierrf=RandomForestClassifier(n_estimators=100)#Train the model using the…

Thank you, it has the correct output now!  Last thing, can this be done without using a Hashmap, but instead with the original method of using just the LinkedList in the original question? If so, please provide another solution without using hashmap to see the difference in structure of the code!