In this challenge, you'll **manage the daily stock levels** of essential grocery store products over a week. By utilizing the `range()` function in conjunction with the `len()` function, you'll simulate sales impacts on inventory.


import unittest
import importlib
import io
import re
import inspect
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)


def strip_comments_from_source(module):
    try:
        source = inspect.getsource(module)
        lines = source.split('\\n')
        cleaned = []
        for line in lines:
            stripped = line.strip()
            if stripped.startswith('#'):
                continue
            if '#' in line:
                line = line.split('#')[0]
            if line.strip():
                cleaned.append(line)
        return '\\n'.join(cleaned)
    except Exception:
        return ""


class TestSimpleStockUpdate(unittest.TestCase):

    def normalize_text(self, text):
        text = text.lower()
        text = re.sub(r'\s+', ' ', text)
        text = re.sub(r'\s*([,:?\[\]\(\)])\s*', r'\1', text)
        return text.strip()

    def test_apples_stock(self):
        importlib.reload(user_code)
        result = user_code.products[0]
        _dynamic_test(
            self,
            result == ["Apples", 7],
            "Apples stock is correctly updated to 7",
            f"Expected ['Apples', 7], got {result}"
        )

    def test_bananas_stock(self):
        importlib.reload(user_code)
        result = user_code.products[1]
        _dynamic_test(
            self,
            result == ["Bananas", 3],
            "Bananas stock is correctly updated to 3",
            f"Expected ['Bananas', 3], got {result}"
        )

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

        expected_line = "Final stock levels: [['Apples', 7], ['Bananas', 3]]"
        expected = self.normalize_text(expected_line)
        _dynamic_test(
            self,
            expected in output,
            f"Output includes line: {expected_line}",
            f"Expected output: '{expected_line}' not found."
        )

    def test_uses_for_loop_with_range(self):
        source = strip_comments_from_source(user_code)
        loops = re.findall(r'for\s+\w+\s+in\s+range\s*\(', source)
        _dynamic_test(
            self,
            len(loops) >= 1,
            "Code uses a for loop with range() as required",
            f"Expected at least 1 for loop with range(), found {len(loops)}"
        )


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!

Challenge: Sales and Shipments

解答