You are managing a grocery store's system, and you need to maintain **decision-making** for the inventory, track prices, and perform checks to determine if actions like restocking or removing items from the inventory are needed based on their price or stock. 

# Unit tests (test_main.py) â strongly simplified and flexible

import unittest
import importlib
import io
from contextlib import redirect_stdout
import user_code


def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)


class TestGroceryInventorySimplified(unittest.TestCase):

    def normalize_text(self, text: str) -> str:
        return " ".join(text.lower().split())

    # Core state checks

    def test_eggs_price_reduced(self):
        importlib.reload(user_code)
        price = user_code.grocery_inventory["Eggs"][1]
        _dynamic_test(
            self,
            abs(price - 4.50) < 1e-9,
            "Eggs price reduced to 4.50",
            f"Expected Eggs price 4.50, got {price}",
        )

    def test_tomatoes_added(self):
        importlib.reload(user_code)
        inv = user_code.grocery_inventory
        _dynamic_test(
            self,
            "Tomatoes" in inv and inv["Tomatoes"] == ("Produce", 1.20, 30),
            "Tomatoes added with correct details",
            "Tomatoes missing or incorrect",
        )

    def test_milk_stock_increased(self):
        importlib.reload(user_code)
        stock = user_code.grocery_inventory["Milk"][2]
        _dynamic_test(
            self,
            stock == 28,
            "Milk stock increased by 20 to 28",
            f"Expected Milk stock 28, got {stock}",
        )

    def test_apples_remain(self):
        importlib.reload(user_code)
        _dynamic_test(
            self,
            "Apples" in user_code.grocery_inventory,
            "Apples remain in inventory at price <= 2",
            "Apples should not have been removed",
        )

    # Light output checks (no strict punctuation)

    def test_output_messages_present(self):
        f = io.StringIO()
        with redirect_stdout(f):
            importlib.reload(user_code)
        out = self.normalize_text(f.getvalue())

        expected_phrases = [
            "eggs are too expensive, reducing the price by $1.",
            "inventory after adding tomatoes:",
            "milk needs to be restocked. increasing stock by 20 units.",
            "updated inventory:",
        ]
        for phrase in expected_phrases:
            _dynamic_test(
                self,
                phrase in out,
                f"Output includes: {phrase}",
                f"Expected output to include: {phrase}",
            )


if __name__ == "__main__":
    unittest.main()

test_main.py

Python is a high-level, interpreted, general-purpose programming
language. Distinguished from languages such as HTML, CSS, and JavaScript, which are mainly
utilized in web development, Python boasts versatility across multiple domains, including
software development, data science, and back-end development. This course will guide you
through Python's fundamental concepts, equipping you with the skills to create your own
functions by the conclusion of the program.

In this section, you will explore the fundamentals of Python, get acquainted
with your workspace, perform simple math operations, and display your findings.

In this section, you'll discover how to save items such as numbers and text
in computer memory and retrieve them by name. Additionally, you'll gain an introduction to text
manipulation in Python.

In this section, you'll explore the boolean data type and learn how it is used
to develop programs that react to certain conditions.

In this section, you will continue learning about data types and discover
how to organize various attributes in a single variable using lists, tuples, and dictionaries.

In this section, you'll learn how to create loops in Python — an essential skill
for iterating through lists, tuples, and dictionaries.

To conclude this introductory course, you will explore some built-in
functions and then begin to develop your own!

How can you access the third element in this list?

How would you change "green" to "yellow"?

Challenge: Pricing Adjustment Capstone

Solution