Python コードのリファクタリング

Python コードをリファクタリングしてモジュール性を高め、機能を追加します。

モデルにクエリを直接実行して、返された結果をテストできます。その場合、Cloud コンソールでさまざまなパラメータ値を使用することも、Vertex AI API を直接呼び出すこともできます。

自由形式のプロンプト

ランダムな名前を生成し、コンソールのメニューからユーザーが選択した内容に基づいてさまざまな種類のデータ処理を行う Python プログラムがあります。data_processor 関数を分割し、完全に削除して、コードをリファクタリングしてください。また、逆頭字語名の機能を追加し、ユーザー入力の取得を別の関数に移動してください。メインガードには 1 つの関数呼び出しのみが含まれるようにしてください。

import random
from faker import Faker

def transform_data(data):
    upper_names = [name.upper() for name in data]
    lower_names = [name.lower() for name in data]
    reversed_names = [name[::-1] for name in data]
    acronym_names = ["".join([word[0] for word in name.split()]) for name in data]
    return upper_names, lower_names, reversed_names, acronym_names

def calculate_statistics(data):
    name_lengths = [len(name) for name in data]
    average_length = sum(name_lengths) / len(name_lengths)
    max_length = max(name_lengths)
    min_length = min(name_lengths)
    return average_length, max_length, min_length

def group_by_first_letter(data):
    grouped_data = {}
    for name in data:
        grouped_data.setdefault(name[0], []).append(name)
    return grouped_data

def analyze_name_frequencies(data):
    name_counts = {}
    for name in data:
        name_counts[name] = name_counts.get(name, 0) + 1
    return name_counts

def display_menu():
    print("Menu:")
    print("1. Display original names")
    print("2. Display uppercased names")
    print("3. Display lowercased names")
    print("4. Display reversed names")
    print("5. Display acronym names")
    print("6. Display name statistics")
    print("7. Display names grouped by first letter")
    print("8. Display name frequencies")
    print("9. Exit")
    choice = input("Enter your choice: ")
    return choice

if __name__ == "__main__":
    # Generate random names
    fake = Faker()
    names = [fake.name() for _ in range(10)]

    upper_names, lower_names, reversed_names, acronym_names = transform_data(names)
    avg_length, max_length, min_length = calculate_statistics(names)
    grouped_names = group_by_first_letter(names)
    name_frequencies = analyze_name_frequencies(names)

    processed_data = {
        "original_names": names,
        "upper_names": upper_names,
        "lower_names": lower_names,
        "reversed_names": reversed_names,
        "acronym_names": acronym_names,
        "average_length": avg_length,
        "max_length": max_length,
        "min_length": min_length,
        "grouped_names": grouped_names,
        "name_frequencies": name_frequencies
    }

    while True:
        choice = display_menu()
        if choice == "1":
            print(processed_data["original_names"])
        elif choice == "2":
            print(processed_data["upper_names"])
        elif choice == "3":
            print(processed_data["lower_names"])
        elif choice == "4":
            print(processed_data["reversed_names"])
        elif choice == "5":
            print(processed_data["acronym_names"])
        elif choice == "6":
            print(f"Average name length: {processed_data['average_length']}")
            print(f"Maximum name length: {processed_data['max_length']}")
            print(f"Minimum name length: {processed_data['min_length']}")
        elif choice == "7":
            for letter, names in processed_data["grouped_names"].items():
                print(f"Names starting with {letter}: {names}")
        elif choice == "8":
            for name, count in processed_data["name_frequencies"].items():
                print(f"{name}: {count}")
        elif choice == "9":
            break
        else:
            print("Invalid choice")

レスポンス

import random
from faker import Faker

def generate_names(num_names=10):
    fake = Faker()
    return [fake.name() for _ in range(num_names)]

def transform_names(names):
    upper_names = [name.upper() for name in names]
    lower_names = [name.lower() for name in names]
    reversed_names = [name[::-1] for name in names]
    acronym_names = ["".join(word[0] for word in name.split()) for name in names]
    reversed_acronym_names = ["".join(word[0] for word in name.split())[::-1] for name in names] #Added reversed acronym
    return upper_names, lower_names, reversed_names, acronym_names, reversed_acronym_names

def calculate_statistics(names):
    name_lengths = [len(name) for name in names]
    average_length = sum(name_lengths) / len(name_lengths) if name_lengths else 0
    max_length = max(name_lengths) if name_lengths else 0
    min_length = min(name_lengths) if name_lengths else 0
    return average_length, max_length, min_length

def group_by_first_letter(names):
    grouped_data = {}
    for name in names:
        grouped_data.setdefault(name[0], []).append(name)
    return grouped_data

def analyze_name_frequencies(names):
    name_counts = {}
    for name in names:
        name_counts[name] = name_counts.get(name, 0) + 1
    return name_counts

def get_user_input():
    choice = input("Enter your choice: ")
    return choice

def display_menu():
    print("Menu:")
    print("1. Display original names")
    print("2. Display uppercased names")
    print("3. Display lowercased names")
    print("4. Display reversed names")
    print("5. Display acronym names")
    print("6. Display reversed acronym names") #Added menu option
    print("7. Display name statistics")
    print("8. Display names grouped by first letter")
    print("9. Display name frequencies")
    print("10. Exit")
    return get_user_input()

def main():
    names = generate_names()
    upper_names, lower_names, reversed_names, acronym_names, reversed_acronym_names = transform_names(names)
    avg_length, max_length, min_length = calculate_statistics(names)
    grouped_names = group_by_first_letter(names)
    name_frequencies = analyze_name_frequencies(names)

    processed_data = {
        "original_names": names,
        "upper_names": upper_names,
        "lower_names": lower_names,
        "reversed_names": reversed_names,
        "acronym_names": acronym_names,
        "reversed_acronym_names": reversed_acronym_names,
        "average_length": avg_length,
        "max_length": max_length,
        "min_length": min_length,
        "grouped_names": grouped_names,
        "name_frequencies": name_frequencies
    }

    while True:
        choice = display_menu()
        try:
            choice = int(choice)
            if choice == 1:
                print(processed_data["original_names"])
            elif choice == 2:
                print(processed_data["upper_names"])
            elif choice == 3:
                print(processed_data["lower_names"])
            elif choice == 4:
                print(processed_data["reversed_names"])
            elif choice == 5:
                print(processed_data["acronym_names"])
            elif choice == 6:
                print(processed_data["reversed_acronym_names"])
            elif choice == 7:
                print(f"Average name length: {processed_data['average_length']}")
                print(f"Maximum name length: {processed_data['max_length']}")
                print(f"Minimum name length: {processed_data['min_length']}")
            elif choice == 8:
                for letter, names in processed_data["grouped_names"].items():
                    print(f"Names starting with {letter}: {names}")
            elif choice == 9:
                for name, count in processed_data["name_frequencies"].items():
                    print(f"{name}: {count}")
            elif choice == 10:
                break
            else:
                print("Invalid choice")
        except ValueError:
            print("Invalid input. Please enter a number.")


if __name__ == "__main__":
    main()
モデル: gemini-1.5-flash-002
温度: 0.2
最大出力トークン: 8192
TopK: 40.0
TopP: 0.95