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I am trying this with Colab, hopefully it works fine. #1
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,123 @@ | ||
| { | ||
| "nbformat": 4, | ||
| "nbformat_minor": 0, | ||
| "metadata": { | ||
| "colab": { | ||
| "provenance": [] | ||
| }, | ||
| "kernelspec": { | ||
| "name": "python3", | ||
| "display_name": "Python 3" | ||
| }, | ||
| "language_info": { | ||
| "name": "python" | ||
| } | ||
| }, | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "source": [ | ||
| " #PART 1\n", | ||
| "\n", | ||
| "\n", | ||
| "from collections import Counter\n", | ||
| "\n", | ||
| "def anagram_checker(word_a, word_b, is_case_sensitive=False):\n", | ||
| " \"\"\"\n", | ||
| " Checks if two words are anagrams of each other.\n", | ||
| "\n", | ||
| " Parameters:\n", | ||
| " word_a (str): The first word.\n", | ||
| " word_b (str): The second word.\n", | ||
| " is_case_sensitive (bool): If True, considers case sensitivity in anagram checking.\n", | ||
| "\n", | ||
| " Returns:\n", | ||
| " bool: True if words are anagrams, False otherwise.\n", | ||
| " \"\"\"\n", | ||
| " # Normalize words: Remove spaces and apply lowercase if case sensitivity is off\n", | ||
| " if not is_case_sensitive:\n", | ||
| " word_a = word_a.lower()\n", | ||
| " word_b = word_b.lower()\n", | ||
| "\n", | ||
| " # Use Counter to compare character occurrences\n", | ||
| " return Counter(word_a) == Counter(word_b)\n", | ||
| "\n", | ||
| "# Test Cases\n", | ||
| "print(anagram_checker(\"Silent\", \"listen\", False)) # Expected: True\n", | ||
| "print(anagram_checker(\"Silent\", \"Listen\", True)) # Expected: False\n", | ||
| "print(anagram_checker(\"Silent\", \"Night\", False)) # Expected: False\n", | ||
| "print(anagram_checker(\"night\", \"Thing\", False)) # Expected: True\n" | ||
| ], | ||
| "metadata": { | ||
| "colab": { | ||
| "base_uri": "https://localhost:8080/" | ||
| }, | ||
| "id": "f3oB2Z02wpwS", | ||
| "outputId": "eac66ff9-89ae-4bdb-bb6d-9344245c7049" | ||
| }, | ||
| "execution_count": 2, | ||
| "outputs": [ | ||
| { | ||
| "output_type": "stream", | ||
| "name": "stdout", | ||
| "text": [ | ||
| "True\n", | ||
| "False\n", | ||
| "False\n", | ||
| "True\n" | ||
| ] | ||
| } | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "def anagram_checker(word_a, word_b, is_case_sensitive=False):\n", | ||
| " \"\"\"\n", | ||
| " Checks if two words are anagrams of each other with an optional case-sensitive check.\n", | ||
| "\n", | ||
| " Parameters:\n", | ||
| " word_a (str): The first word.\n", | ||
| " word_b (str): The second word.\n", | ||
| " is_case_sensitive (bool): If True, considers case sensitivity in anagram checking.\n", | ||
| "\n", | ||
| " Returns:\n", | ||
| " bool: True if words are anagrams, False otherwise.\n", | ||
| " \"\"\"\n", | ||
| " # Normalize words: Remove spaces, apply lowercase if case sensitivity is off\n", | ||
| " if not is_case_sensitive:\n", | ||
| " word_a = word_a.lower()\n", | ||
| " word_b = word_b.lower()\n", | ||
| "\n", | ||
| " # Use Counter to compare character occurrences\n", | ||
| " return Counter(word_a) == Counter(word_b)\n", | ||
| "\n", | ||
| "# Test Cases for Part 2\n", | ||
| "print(anagram_checker(\"Silent\", \"listen\", False)) # Expected: True\n", | ||
| "print(anagram_checker(\"Silent\", \"Listen\", True)) # Expected: False\n", | ||
| "print(anagram_checker(\"Silent\", \"Night\", False)) # Expected: False\n", | ||
| "print(anagram_checker(\"night\", \"Thing\", False)) # Expected: True\n" | ||
| ], | ||
| "metadata": { | ||
| "colab": { | ||
| "base_uri": "https://localhost:8080/" | ||
| }, | ||
| "id": "pJdptaCPw0nK", | ||
| "outputId": "209fdf88-4ca4-414c-fca6-cef759d55746" | ||
| }, | ||
| "execution_count": 3, | ||
| "outputs": [ | ||
| { | ||
| "output_type": "stream", | ||
| "name": "stdout", | ||
| "text": [ | ||
| "True\n", | ||
| "False\n", | ||
| "False\n", | ||
| "True\n" | ||
| ] | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| } | ||
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,135 @@ | ||
| { | ||
| "nbformat": 4, | ||
| "nbformat_minor": 0, | ||
| "metadata": { | ||
| "colab": { | ||
| "provenance": [], | ||
| "authorship_tag": "ABX9TyMWnXObtyzsz92ucZBuFrDu", | ||
| "include_colab_link": true | ||
| }, | ||
| "kernelspec": { | ||
| "name": "python3", | ||
| "display_name": "Python 3" | ||
| }, | ||
| "language_info": { | ||
| "name": "python" | ||
| } | ||
| }, | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": { | ||
| "id": "view-in-github", | ||
| "colab_type": "text" | ||
| }, | ||
| "source": [ | ||
| "<a href=\"https://colab.research.google.com/github/afesobi/python/blob/Assignment-1/Assignment-1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "source": [ | ||
| " #PART 1\n", | ||
| "\n", | ||
| "\n", | ||
| "from collections import Counter\n", | ||
| "\n", | ||
| "def anagram_checker(word_a, word_b, is_case_sensitive=False):\n", | ||
| " \"\"\"\n", | ||
| " Checks if two words are anagrams of each other.\n", | ||
| "\n", | ||
| " Parameters:\n", | ||
| " word_a (str): The first word.\n", | ||
| " word_b (str): The second word.\n", | ||
| " is_case_sensitive (bool): If True, considers case sensitivity in anagram checking.\n", | ||
| "\n", | ||
| " Returns:\n", | ||
| " bool: True if words are anagrams, False otherwise.\n", | ||
| " \"\"\"\n", | ||
| " # Normalize words: Remove spaces and apply lowercase if case sensitivity is off\n", | ||
| " if not is_case_sensitive:\n", | ||
| " word_a = word_a.lower()\n", | ||
| " word_b = word_b.lower()\n", | ||
| "\n", | ||
| " # Use Counter to compare character occurrences\n", | ||
| " return Counter(word_a) == Counter(word_b)\n", | ||
| "\n", | ||
| "# Test Cases\n", | ||
| "print(anagram_checker(\"Silent\", \"listen\", False)) # Expected: True\n", | ||
| "print(anagram_checker(\"Silent\", \"Listen\", True)) # Expected: False\n", | ||
| "print(anagram_checker(\"Silent\", \"Night\", False)) # Expected: False\n", | ||
| "print(anagram_checker(\"night\", \"Thing\", False)) # Expected: True\n" | ||
| ], | ||
| "metadata": { | ||
| "colab": { | ||
| "base_uri": "https://localhost:8080/" | ||
| }, | ||
| "id": "f3oB2Z02wpwS", | ||
| "outputId": "eac66ff9-89ae-4bdb-bb6d-9344245c7049" | ||
| }, | ||
| "execution_count": 2, | ||
| "outputs": [ | ||
| { | ||
| "output_type": "stream", | ||
| "name": "stdout", | ||
| "text": [ | ||
| "True\n", | ||
| "False\n", | ||
| "False\n", | ||
| "True\n" | ||
| ] | ||
| } | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "def anagram_checker(word_a, word_b, is_case_sensitive=False):\n", | ||
| " \"\"\"\n", | ||
| " Checks if two words are anagrams of each other with an optional case-sensitive check.\n", | ||
| "\n", | ||
| " Parameters:\n", | ||
| " word_a (str): The first word.\n", | ||
| " word_b (str): The second word.\n", | ||
| " is_case_sensitive (bool): If True, considers case sensitivity in anagram checking.\n", | ||
| "\n", | ||
| " Returns:\n", | ||
| " bool: True if words are anagrams, False otherwise.\n", | ||
| " \"\"\"\n", | ||
| " # Normalize words: Remove spaces, apply lowercase if case sensitivity is off\n", | ||
| " if not is_case_sensitive:\n", | ||
| " word_a = word_a.lower()\n", | ||
| " word_b = word_b.lower()\n", | ||
| "\n", | ||
| " # Use Counter to compare character occurrences\n", | ||
| " return Counter(word_a) == Counter(word_b)\n", | ||
| "\n", | ||
| "# Test Cases for Part 2\n", | ||
| "print(anagram_checker(\"Silent\", \"listen\", False)) # Expected: True\n", | ||
| "print(anagram_checker(\"Silent\", \"Listen\", True)) # Expected: False\n", | ||
| "print(anagram_checker(\"Silent\", \"Night\", False)) # Expected: False\n", | ||
| "print(anagram_checker(\"night\", \"Thing\", False)) # Expected: True\n" | ||
| ], | ||
| "metadata": { | ||
| "colab": { | ||
| "base_uri": "https://localhost:8080/" | ||
| }, | ||
| "id": "pJdptaCPw0nK", | ||
| "outputId": "209fdf88-4ca4-414c-fca6-cef759d55746" | ||
| }, | ||
| "execution_count": 3, | ||
| "outputs": [ | ||
| { | ||
| "output_type": "stream", | ||
| "name": "stdout", | ||
| "text": [ | ||
| "True\n", | ||
| "False\n", | ||
| "False\n", | ||
| "True\n" | ||
| ] | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| } |
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Counter()is a very powerful tool, but is probably a overuse for the task. We can simply compare two strings without turning them into dictionaries:word_a == word_b