anuradhawick

use std::collections::HashMap;
use std::sync::{RwLock, Arc};
use std::sync::atomic::{AtomicU32, Ordering};
use std::cell::UnsafeCell;

struct MyHashTable {
    map: RwLock<UnsafeCell<HashMap<u64, AtomicU32>>>,
}

impl MyHashTable {

anuradhawick

import math
from tqdm import tqdm
from functools import cache
from collections import defaultdict


def sieve_of_Sundaram(n):
    """The sieve of Sundaram is a simple deterministic algorithm for finding all the prime numbers up to a specified integer."""
    k = (n - 2) // 2
    integers_list = [True] * (k + 1)

anuradhawick

import math
from collections import Counter


def get_masks(size):
    vals = []
    for x in range(1, 10**size):
        val = bin(x)[2:]
        if len(val) > size:
            return vals

anuradhawick

anuradhawick

/*
Credits to the original author in the post from StackOverflow: https://stackoverflow.com/questions/24824681/how-do-i-get-the-population-count-of-an-unsigned-unchecked-number-with-boostmu
*/

#include <bitset>
#include <limits>
#include <type_traits>

#include <boost/multiprecision/cpp_int.hpp>

anuradhawick

class User:
    def __init__(self, *args, **kwards):
        self.store = args
        self.key_store = kwards

    def __str__(self):
        output = 'Values\n-------\n'

        for v in self.store:
            output += str(v) + '\n'

anuradhawick

class User:
    def __init__(self, *args, **kwards):
        self.store = args
        self.key_store = kwards

    def __str__(self):
        output = 'Values\n-------\n'

        for v in self.store:
            output += str(v) + '\n'

anuradhawick

anuradhawick

anuradhawick

import csv
import pandas as pd
from collections import defaultdict

header = None
created_sheets = defaultdict(list)
lc = None

with open('INPUT.csv') as f:
    reader = csv.reader(f)