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import { Component, OnInit, Inject } from '@angular/core';
import { MatDialogRef, MAT_DIALOG_DATA } from '@angular/material/dialog';
import { ModalActionsService } from 'src/app/services/modal-actions.service';

@Component({
  selector: 'app-modal',
  templateUrl: './modal.component.html',
  styleUrls: ['./modal.component.css']
})
export class ModalComponent implements OnInit {

Ze1598

import { Injectable } from '@angular/core';

@Injectable({
  providedIn: 'root'
})
export class MockServ1Service {

  constructor() { }

  alertLogout(modalData: any) {

Ze1598

import { Injectable } from '@angular/core';

@Injectable({
  providedIn: 'root'
})
export class MockServ2Service {

  constructor() { }

  alertDelete(modalData: any) {

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import { Injectable } from '@angular/core';
import { MockServ1Service } from './mock-serv-1.service';
import { MockServ2Service } from './mock-serv-2.service';

@Injectable({
  providedIn: 'root'
})
export class ModalActionsService {

  constructor(

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# https://github.com/sivel/speedtest-cli
import speedtest as st
import pandas as pd
from datetime import datetime


def get_new_speeds():
    speed_test = st.Speedtest()
    speed_test.get_best_server()

Ze1598

from matplotlib import pyplot as plt

nums = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
doubles = [2, 4, 6, 8, 10, 12, 14, 16, 18, 20]
squares = [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]

plt.plot(nums, doubles, label="Doubles", color="red")
plt.plot(nums, squares, label="Squares", color="blue")

plt.xlabel("Number")

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from matplotlib import pyplot as plt

x_coords = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
fav_nums = [9, 37, 45, 32, 46, 56, 28, 9, 16, 68, 64, 100, 25, 1, 59, 50, 31, 96, 13, 76]

plt.scatter(x_coords, fav_nums, marker="x", color="red")

plt.ylabel("Favorite number")
plt.xticks([])
plt.title("Favorite number of twenty individuals")

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from matplotlib import pyplot as plt

slices = [1, 9, 3, 3, 4]
labels = ["Management", "Sales", "Quality Assurance", "Accounting", "Human Resources"]
colors = ["#ff9999", "#66b3ff", "#99ff99", "#ffcc99", "#cccccc"]

plt.pie(slices, labels=labels, colors=colors, autopct="%1.2f%%")

plt.title("Size of departments at Company A")
plt.tight_layout()

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from matplotlib import pyplot as plt

pairs_owned = [16, 9, 9, 6]
options = ["One", "Two", "Three", "Four+"]

plt.bar(options, pairs_owned)

plt.title("Years of experience working with Python (n=40)")
plt.ylabel("Number of respondents")
plt.tight_layout()

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from matplotlib import pyplot as plt

pairs_owned = [16, 9, 9, 6]
options = ["One", "Two", "Three", "Four+"]

plt.barh(options, pairs_owned)

plt.title("Years of experience working with Python (n=40)")
plt.xlabel("Number of respondents")
plt.tight_layout()