{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Implement naive_with_counts by extending naive function\n", "from naive_with_counts import naive_with_counts" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Example 1" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "([40], 41, 46)\n" ] } ], "source": [ "p = 'word'\n", "t = 'there would have been a time for such a word'\n", "occurrences, num_alignments, num_character_comparisons = naive_with_counts(p, t)\n", "print(occurrences, num_alignments, num_character_comparisons)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Example 2" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "([0, 19], 20, 35)\n" ] } ], "source": [ "p = 'needle'\n", "t = 'needle need noodle needle'\n", "occurrences, num_alignments, num_character_comparisons = naive_with_counts(p, t)\n", "print(occurrences, num_alignments, num_character_comparisons)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }