Raj067

import React, { Component } from "react";
import instance from "../axiosInstanceReact";

class Home extends Component {
  constructor(props) {
    super(props);
    this.state = {};
  }

  async componentDidMount() {

Raj067

import numpy as np
from sklearn.cluster import DBSCAN
from sklearn import metrics
from sklearn.datasets.samples_generator import make_blobs
from sklearn.preprocessing import StandardScaler

centers = [[1, 1], [-1, -1], [1, -1]]
X, labels_true = make_blobs(n_samples=750, centers=centers, cluster_std=0.4,
random_state=0)
X = StandardScaler().fit_transform(X)

Raj067

from sklearn.neighbors.nearest_centroid import NearestCentroid
import numpy as np
X = np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])
y = np.array([1, 1, 1, 2, 2, 2])
clf = NearestCentroid()
clf.fit(X, y)
print(clf.predict([[-0.8, -1]]))

Raj067

import time
import math

def time_since(val: str) -> str:
    '''Returning since time'''
    sec = math.floor(time.time() - float(val))
    interval = sec // 31536000
    if interval > 1:
        return f'{math.floor(interval)} years ago'

Raj067

def arithmetic_arranger(data, cond=False):
    if len(data) > 5:
        raise ValueError('Too many problems')
    
    req = ''
    req1 = ''
    req2 = ''
    req3 = ''