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1 9 1 9 Premium Alma

1 9 1 9 Premium Alma

1 ci yöntem : Sunucuya 2 boost basmak.   2 ci yöntem : TikToka beleÅŸ panel yazıp karşına çıkan random 15 videonun yorumuna https://discord.gg/x7TCxMuJpb ( Sunucunun Linkini ) 3 kere yazmalı ve ss alarak bana atmalısınız.   3 cü yöntem : 30tl.   Premium alınca sizde açılacak :    

Palace menu

Palace menu

Palace menu   COUNTY FARMERS MENU   JOIN THE TELEGRAM : https://t.me/+44RWEuiaATE2YzBk   SEND ORDERS TO THE TELEGRAM USE SECRET CHATS : @DOKTORDOOM1   MAKE SURE THE USERNAME MATCHES WHEN ORDERING!   ========== UK FLOWER : >AVAILABLE ON REQUEST<   ========== SMALLS : Cookies > 🌟 NEW IN 🌟 1z – £90 9z – £800 …

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MTL diss

MTL diss

MTL diss   Why’d you break it with 50? He ain’t no spare change, why don’t we rearrange so you could spare change Or maybe we could get through this exchange and currently I’ve won Currently/currency, you get it? M, don’t run And if you gonna battle, I don’t wanna hear no puns Cause I’ve …

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1 9 1 9 a aittir Çalma OC

1 9 1 9 a aittir Çalma OC

1 9 1 9 a aittir Çalma OC   ___ CONTROL ULTMATE EDITION ile Steam hesabı Kullanıcı adi: kz8718 Sifre: Hh60395143 ____ THE LAST OF US Steam hesabı içinde Hesap: wwssoo3759 Åžifre: Tj9Qwjsplay ____ GTA 4 ile steam hesabı Kullanıcı adı:youngsierra57 Åžifre:june2006 ____ GTA V- Watch Dogs 2 ve daha fazlası olan Steam hesabı Hesap: …

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Dijkstras Algorithm

Dijkstras_Algorithm

import java.util.Scanner;public class Dijkstras_Algorithm {public static int path[] = new int[10];public static void main(String[] args) {int tot_nodes,i,j;int cost[][]=new int[10][10];int dist[]=new int[10];int s[]=new int[10];System.out.println(“\n\t\t——-Creation of Graph—–“);System.out.println(“\nEnter Total Number of Nodes:”);Scanner in = new Scanner(System.in);tot_nodes=in.nextInt();create(tot_nodes,cost);for(i=0;i<tot_nodes;i++) {System.out.println(“\n\t\tPress any Key To Continue…”);System.out.println(“\n\t\tWhen Source=”+i);for(j=0;j<tot_nodes;j++) {Dijkstra(tot_nodes,cost,i,dist);if(dist[j]==999)System.out.println(“\n There is no Path to”+j);else{display(i,j,dist);}}}}public static void create(int tot_nodes,int cost[][]) {int i,j,val,tot_edges,count=0;for(i=0;i<tot_nodes;i++) {for(j=0;j<tot_nodes;j++) {if(i==j)cost[i][j]=0;elsecost[i][j]=999;}}System.out.println(“\n Total …

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Robo 2.0 Review

Robo 2.0 Review

K-MEANS CLUSTERINGimport numpy as npimport matplotlib.pyplot as pltfrom sklearn.datasets import make_blobsfrom sklearn.cluster import KMeansX, y_true = make_blobs(n_samples=300, centers=4, cluster_std=0.6, random_state=0)kmeans = KMeans(n_clusters=4)kmeans.fit(X)labels = kmeans.labels_centers = kmeans.cluster_centers_plt.scatter(X[:, 0], X[:, 1], c=labels, cmap=’viridis’)plt.scatter(centers[:, 0], centers[:, 1], marker=’X’, color=’red’, s=200)plt.title(“K-means Clustering”)plt.xlabel(“Feature 1”)plt.ylabel(“Feature 2”)plt.show()   Decision trees import warningswarnings.filterwarnings(“ignore”)# Importing the required packagesimport numpy as npimport pandas as pdfrom …

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