# Questionnare

{% tabs %}
{% tab title="main.py" %}

```python
from question_model import Question
from data import question_data
from quiz_brain import QuizBrain

question_bank = []
for question in question_data:
    question_text = question["text"]
    question_answer = question["answer"]
    new_queston = Question(question_text, question_answer)
    question_bank.append(new_queston)

quiz = QuizBrain(question_bank)

while quiz.still_has_questions():
    quiz.next_question()

print(f"Thanks for completing that!\nYour final score is: {quiz.score}/{quiz.question_number}")
```

{% endtab %}

{% tab title="data.py" %}

```python
question_data = [
    {"text": "A slug's blood is green.", "answer": "True"},
    {"text": "The loudest animal is the African Elephant.", "answer": "False"},
    {"text": "Approximately one quarter of human bones are in the feet.", "answer": "True"},
    {"text": "The total surface area of a human lungs is the size of a football pitch.", "answer": "True"},
    {"text": "In West Virginia, USA, if you accidentally hit an animal with your car, you are free to take it home "
             "to eat.", "answer": "True"},
    {"text": "In London, UK, if you happen to die in the House of Parliament, you are entitled to a state funeral."
        , "answer": "False"},
    {"text": "It is illegal to pee in the Ocean in Portugal.", "answer": "True"},
    {"text": "You can lead a cow down stairs but not up stairs.", "answer": "False"},
    {"text": "Google was originally called 'Backrub'.", "answer": "True"},
    {"text": "Buzz Aldrin's mother's maiden name was 'Moon'.", "answer": "True"},
    {"text": "No piece of square dry paper can be folded in half more than 7 times.", "answer": "False"},
    {"text": "A few ounces of chocolate can to kill a small dog.", "answer": "True"}

]
```

{% endtab %}

{% tab title="question\_model.py" %}

```python
class Question:

    def __init__(self, text, answer):
        self.text = text
        self.answer = answer
```

{% endtab %}

{% tab title="quiz\_brain.py" %}

```python
class QuizBrain:

    def __init__(self, question_list):
        self.question_number = 0
        self.question_list = question_list
        self.score = 0

    def still_has_questions(self):
        return self.question_number < len(self.question_list)

    def next_question(self):
        current_question = self.question_list[self.question_number]
        self.question_number += 1
        user_answer = input(f"Q.{self.question_number}: {current_question.text} (True/False): ")
        self.check_answer(user_answer, current_question.answer)

    def check_answer(self, user_answer, correct_answer):
        if user_answer.lower() == correct_answer.lower():
            print("You got it right!")
            self.score += 1
        else:
            print("That is incorrect")
        print(f"The correct answer was: {correct_answer}.")
        print(f"Your current score is {self.score}/{self.question_number}.")
        print("\n")
```

{% endtab %}
{% endtabs %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://digitalgarden.batamladen.com/notes/programming/python/examples-projects/questionnare.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.