{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Radix Sort\n", "(c) 2020, Joe James" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# get number of digits in largest item\n", "def __get_num_digits(A):\n", " m = 0\n", " for item in A:\n", " m = max(m, item)\n", " return len(str(m))" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# flatten into a 1D List\n", "from functools import reduce\n", "def __flatten(A):\n", " return reduce(lambda x, y: x + y, A)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Changed from YouTube video:\n", "It's much cleaner to put the _get_num_digits call inside the radix function rather than in main as shown in the video. That way you only need to pass a List to the radix function. Thanks to Brother Lui for this suggestion." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "def radix(A):\n", " num_digits = __get_num_digits(A)\n", " for digit in range(0, num_digits):\n", " B = [[] for i in range(10)]\n", " for item in A:\n", " # num is the bucket number that the item will be put into\n", " num = item // 10 ** (digit) % 10\n", " B[num].append(item)\n", " A = __flatten(B)\n", " return A" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1, 2, 3, 45, 53, 55, 213, 288, 289]\n", "[0, 1, 2, 3, 4, 5] [999994, 999995, 999996, 999997, 999998, 999999]\n" ] } ], "source": [ "def main():\n", " A = [55, 45, 3, 289, 213, 1, 288, 53, 2]\n", " A = radix(A)\n", " print(A)\n", " \n", " B = [i for i in range(1000000)]\n", " from random import shuffle\n", " shuffle(B)\n", " B = radix(B)\n", " print(B[:6], B[-6:])\n", "\n", "main()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.0" } }, "nbformat": 4, "nbformat_minor": 2 }