Challenges

Reddit challenges in python language.

Files Code and Result

challenge1_easy

challenge2_easy

challenge3_easy

challenge4_easy

challenge5_easy

challenge6_easy

challenge7_easy

challenge8_easy

challenge9_easy

challenge10_easy

challenge11.easy

challenge12_easy

challenge13_easy

challenge14_easy

challenge15_easy

challenge16_easy

challenge17_easy

challenge18_easy

challenge19_easy

challenge20_easy

challenge21_easy

challenge22_easy

challenge23_easy

challenge25_easy

challenge26_easy

challenge27_easy

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challenge32_easy

challenge33_easy

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challenge62_easy

challenge63_easy

challenge64_easy

challenge65_easy

challenge66_Dev

challenge66_easy

challenge67_easy

challenge68_easy

challenge69_easy

challenge69_easyBonus

challenge70_easy

challenge71_easy.py

challenge72_easy

challenge73_easy

challenge74_easy

challenge76_easy

challenge77_easy

challenge79_easy

challenge80_easyone

challenge82_easy

challenge83_easy

challenge84_easy

challenge85_easy

challenge85_easybonus

challenge86_easy

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challenge89_easy

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challenge100_easybonus

challenge101_easy

challenge101_easybonus

challenge102_easy

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challenge104_easy

challenge105_easy

challenge106_easy

challenge107_easy

challenge108_easy

challenge109_easy

challenge110_easy

challenge111_easy2

challenge112_easy

challenge113_easy

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challenge119_easy

challenge130_easy

challenge143_easy

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challenge153_easy

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challenge158_easy

challenge158_easybonus

challenge159_easy

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challenge169_easy

challenge169_easybonus

challenge172_easy

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challenge185_easy

challenge192_easy

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challenge204_easy

challenge204_easyBonus

challenge205_easy

challenge205_easyBonu

challenge206_easy

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challenge210_easy

challenge211_easy

challenge212_easy

challenge212_easybonus

challenge213_easy

challenge214_easy

challenge215_easy

challenge216_easy

challenge217_easy

challenge218_easy

challenge218_easyBonus1

challenge218_easyBunus2

challenge219_easy

challenge220_easy.py

challenge221_easy

challenge221_easy

challenge222_easy

challenge222_easy.py

challenge223_easy

challenge226_easy

challenge226_easy

challenge228_easy.py

challenge228_easydev

challenge229_easy

challenge229_easybonus.py

challenge232_easy

challenge232_easy

challenge232_easybonus

challenge232_easybonus

challenge234_easy

challenge234_easybonus

challenge235_easy

challenge236_easy

challenge237_easy

challenge238_easy

challenge238_easybonus

challenge239_easy

challenge240_easy

challenge242_easy

challenge242_easy

challenge242_easyBonus

challenge243_easy

challenge245_easy

challenge245_easyBonus

challenge246_easy

challenge247_easy

challenge249_easy

challenge252_easy

challenge254_easy

challenge255_easy

challenge270_easy

challenge284_easy

challenge286_easy

challenge287_easy

challenge288_easy

challenge290_easy

challenge290_easybonus

challenge291_easy

challenge291_easybonus

challenge91_easy

'''
An anonymous user on world4ch's programming text board posted a thread in early 2011
 in which he describes an ingenious O(n) sorting algorithm. This means it's,
 supposedly, more efficient than any sorting algorithm ever invented. Some bloggers
 picked up on it, and dubbed the algorithm sleep sort:

#!/bin/bash
function f() {
    sleep "$1"
    echo "$1"
}
while [ -n "$1" ]
do
    f "$1" &
    shift
done
wait

This program takes some command line arguments, like ./sleepsort.sh 3 1 4 1 5 9, and
starts a new thread for each number in the list, which first sleeps for n seconds,
then prints n. After 1 second, both 1s are printed, then after 2 more seconds the 3
follows, etc. Because it only loops through the list of numbers once, the algorithm
appears to run in linear time.

Your task is to re-implement sleep sort in a language of your choice (which might
look trivial, but this challenge is all about learning how your language handles
multithreading.)

BONUS: at first glance, this algorithm appears to be O(n). Can you prove this isn't
true? (This bonus requires some knowledge of both algorithms and concurrency.)

'''

import time
from multiprocessing import Process


def sleep(x):
    time.sleep(x)
    print(x)


if __name__ == '__main__':
    lst = [3, 1, 4, 1, 5, 9]
    for x in lst:
        proc = Process(target=sleep, args=(x,))
        proc.start()

Result

1
1
3
4
5
9