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- {
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Hash Function"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "alphabet_prime = {'a': 2, 'b': 3, 'c': 5, 'd': 7, 'e': 11, 'f': 13, 'g': 17, 'h': 19, 'i': 23,\n",
- " 'j': 29, 'k': 31, 'l': 37, 'm': 41, 'n': 43, 'o': 47, 'p': 53, 'q': 59, 'r': 61, 's': 67,\n",
- " 't': 71, 'u': 73, 'v': 79, 'w': 83, 'x': 89, 'y': 97, 'z': 101 }"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "SIZE = 6"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "def hash_function(key, array_size=SIZE):\n",
- " hash = 0\n",
- " for k in key.lower():\n",
- " hash += alphabet_prime[k]\n",
- " return hash % array_size"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "hash_function('apple')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "a + p + p + l + e"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "2 + 53 + 53 + 37 + 11"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "156 % SIZE"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Key to index"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "hash_function('apple')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "hash_function('blueberry')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "hash_function('grape')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "hash_function('strawberry')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "hash_function('cherry')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "hash_function('pear')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "hash_function('kiwi')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "hash_function('melon')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "hash_function('peach')"
- ]
- }
- ],
- "metadata": {
- "gist": {
- "data": {
- "description": "Workspace/csbootcamp/Prime Hash.ipynb",
- "public": true
- },
- "id": ""
- },
- "kernelspec": {
- "display_name": "fastai",
- "language": "python",
- "name": "fastai"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.6.2"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 2
- }
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