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from sklearn.metrics import accuracy_score
from sklearn.metrics import cohen_kappa_score
from sklearn.metrics import precision_recall_fscore_support

def validation_prediction(dataloader,model,loss_fn): 
    model.eval()     
    total = 0
    correct = 0
    running_loss = 0
    actual_label_list = []

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import math
from functools import reduce

def primeFactor(num):

    pFactorList = []


    factor = 2
    while factor <= math.sqrt(num):

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import math
from functools import reduce

def primeFactor(num):

    pFactorList = []


    factor = 2
    while factor <= math.sqrt(num):

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import math
from functools import reduce

def primeFactor(num):

    pFactorList = []


    factor = 2
    while factor <= math.sqrt(num):

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def maxF(L):
    maxlength = 0
    for k, v in L.items():
        l = len(v)
        if l > maxlength:
            maxlength = l
    return maxlength

a = [1546, 89, 989, 1131, 289, 565, 10, 2, 54791]
L = {i:str(a[i]) for i in range(len(a))}

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def maxF(L):
    maxlength = 0
    for k, v in L.items():
        l = len(v)
        if l > maxlength:
            maxlength = l
    return maxlength

a = [1546, 89, 989, 1131, 289, 565, 10, 2]
L = {i:str(a[i]) for i in range(len(a))}

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        CS50::query("INSERT INTO places (country_code, postal_code, place_name, admin_name1, admin_code1, admin_name2, admin_code2, admin_name3, admin_code3, latitude, longitude, accuracy) VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", $data[0],$data[1],$data[2],$data[3],$data[4],$data[5],$data[6],$data[7],$data[8],$data[9],$data[10],$data[11]);

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

export class Hero {
    id: number;
    name: string;
}

@Component({
    template:`
        <h1>{{title}}</h1>

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let g:ycm_global_ycm_extra_conf = "~/.vim/.ycm_extra_conf.py"

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import os
import ycm_core

# These are the compilation flags that will be used in case there's no
# compilation database set (by default, one is not set).
# CHANGE THIS LIST OF FLAGS. YES, THIS IS THE DROID YOU HAVE BEEN LOOKING FOR.
flags = [
    '-Wall',
    '-Wextra',
    '-Werror',