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 TestStockProcessing(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_final_stock(self):
        importlib.reload(user_code)
        result = user_code.products[0]
        _dynamic_test(
            self,
            result == ["Apples", 170],
            "Final stock for Apples is correctly updated to 170",
            f"Expected ['Apples', 170], got {result}"
        )

    def test_bananas_final_stock(self):
        importlib.reload(user_code)
        result = user_code.products[1]
        _dynamic_test(
            self,
            result == ["Bananas", 225],
            "Final stock for Bananas is correctly updated to 225",
            f"Expected ['Bananas', 225], got {result}"
        )

    def test_oranges_final_stock(self):
        importlib.reload(user_code)
        result = user_code.products[2]
        _dynamic_test(
            self,
            result == ["Oranges", 110],
            "Final stock for Oranges is correctly updated to 110",
            f"Expected ['Oranges', 110], got {result}"
        )

    def test_mangoes_final_stock(self):
        importlib.reload(user_code)
        result = user_code.products[3]
        _dynamic_test(
            self,
            result == ["Mangoes", 150],
            "Final stock for Mangoes is correctly updated to 150",
            f"Expected ['Mangoes', 150], 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 for all products: [['Apples', 170], ['Bananas', 225], ['Oranges', 110], ['Mangoes', 150]]"
        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_two_for_loops_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) >= 2,
            "Code uses two for loops with range() as required",
            f"Expected 2 for loops with range(), found {len(loops)}"
        )


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


test_main.py

Gain a solid foundation in Python for data analysis. Learn to work with variables, data types, strings, conditional statements, loops, core data structures, and functions using examples relevant to analytical tasks.

Challenge: Sales and Shipments

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