
import unittest
import user_code
import ast
import re   
import importlib
import csv
import unittest
import importlib
import io
from contextlib import redirect_stdout

class TestTask(unittest.TestCase):
    def test_positive_integers(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.print_max_min([5, 2, 8, 1, 9])
        output = normalize_text(f.getvalue())
        _dynamic_test(
            self,
            "maximum value: 9" in output and "minimum value: 1" in output,
            "Correct max/min printed for [5, 2, 8, 1, 9]",
            f"Output incorrect for positive integers: {output}"
        )

    def test_negative_and_positive(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.print_max_min([-3, 0, 7, 4, -10])
        output = normalize_text(f.getvalue())
        _dynamic_test(
            self,
            "maximum value: 7" in output and "minimum value: -10" in output,
            "Correct max/min printed for [-3, 0, 7, 4, -10]",
            f"Output incorrect for negative/positive mix: {output}"
        )

    def test_max_min_any_position(self):
        import user_code
        importlib.reload(user_code)
        test_cases = [
            ([100, 2, 3], 100, 2),
            ([2, 3, 100], 100, 2),
            ([3, 2, 100], 100, 2),
            ([2, 100, 3], 100, 2),
            ([2, 3, -5], 3, -5),
            ([-5, 2, 3], 3, -5),
            ([2, -5, 3], 3, -5),
        ]
        for nums, exp_max, exp_min in test_cases:
            f = io.StringIO()
            with redirect_stdout(f):
                user_code.print_max_min(nums)
            output = normalize_text(f.getvalue())
            _dynamic_test(
                self,
                f"maximum value: {exp_max}" in output and f"minimum value: {exp_min}" in output,
                f"Correct max/min printed for {nums}",
                f"Output incorrect for {nums}: {output}"
            )

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 normalize_text(text):
    text = text.lower()
    text = re.sub(r"\\s{2,}", " ", text)
    text = re.sub(r"\\s*([,:?])\\s*", r"\\1 ", text)
    return text.strip()

def change_var(code: str, var_name: str, value: str) -> str:
    tree = ast.parse(code)
    lines = code.splitlines()
    changed = False
    # Collect all assignment nodes to modify
    assign_nodes = [
        (i, node)
        for i, node in enumerate(tree.body)
        if isinstance(node, ast.Assign)
        and any(isinstance(target, ast.Name) and target.id == var_name for target in node.targets)
    ]

    # If nothing to change, return unmodified code
    if not assign_nodes:
        return code

    # Perform replacements for all matching assignments (from last to first to not break line offsets)
    for i, node in reversed(assign_nodes):
        start_line = node.lineno - 1
        line = lines[start_line]
        indent = ' ' * (len(line) - len(line.lstrip()))
        lines[start_line] = f"{indent}{var_name} = {value}"
        next_line = len(lines)
        for next_node in tree.body[i+1:]:
            if hasattr(next_node, 'lineno'):
                next_line = next_node.lineno - 1
                break
        if next_line > start_line + 1:
            lines[start_line+1:next_line] = []
        changed = True

    return '\\n'.join(lines) if changed else code

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


test_main.py

Learn how to automate everyday and system-related tasks using Python. This beginner-friendly course alternates between conceptual explanations and hands-on tasks, guiding you through practical automation scenarios and essential system operations.

Explore practical automation scenarios using Python, from simple repetitive tasks to essential system operations. Alternate between conceptual learning and hands-on practice.

Challenge: Find Maximum and Minimum

Solution