Keeping track of attendance is a common classroom task. In this challenge, you'll use a **list** of attendance counts to calculate the **total** and **average attendance**.


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_total_attendance_non_empty(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.calculate_attendance([10, 15, 20])
        output = normalize_text(f.getvalue())
        _dynamic_test(
            self,
            "total attendance: 45" in output,
            "Correct total attendance for [10, 15, 20]",
            f"Expected total 45 in output, got: {output}",
        )

    def test_average_attendance_non_empty(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.calculate_attendance([10, 15, 20])
        output = normalize_text(f.getvalue())
        _dynamic_test(
            self,
            "average attendance: 15.0" in output,
            "Correct average attendance for [10, 15, 20]",
            f"Expected average 15.0 in output, got: {output}",
        )

    def test_total_attendance_empty(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.calculate_attendance([])
        output = normalize_text(f.getvalue())
        _dynamic_test(
            self,
            "total attendance: 0" in output,
            "Correct total attendance for empty list",
            f"Expected total 0 in output, got: {output}",
        )

    def test_average_attendance_empty(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.calculate_attendance([])
        output = normalize_text(f.getvalue())
        _dynamic_test(
            self,
            "average attendance: 0" in output or "average attendance: 0.0" in output,
            "Correct average attendance for empty list",
            f"Expected average 0 in output, got: {output}",
        )

    def test_sample_call_attendance_numbers(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.calculate_attendance([15, 18, 20, 17, 19])
        output = normalize_text(f.getvalue())
        _dynamic_test(
            self,
            "total attendance: 89" in output and "average attendance: 17.8" in output,
            "Correct output for sample attendance_numbers",
            f"Expected total 89 and average 17.8 in output, got: {output}",
        )

    def test_sample_call_empty_attendance(self):
        import user_code
        importlib.reload(user_code)
        f = io.StringIO()
        with redirect_stdout(f):
            user_code.calculate_attendance([])
        output = normalize_text(f.getvalue())
        _dynamic_test(
            self,
            "total attendance: 0" in output and ("average attendance: 0" in output or "average attendance: 0.0" in output),
            "Correct output for sample empty_attendance",
            f"Expected total 0 and average 0 in output, got: {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

A beginner-friendly Python course designed specifically for teachers. Learn how to use Python to organize grades, analyze student performance, and automate classroom tasks with engaging, real-world examples.

Learn the basics of Python programming with a focus on classroom and grade organization. This section introduces Python syntax, variables, and simple data structures through relatable educational scenarios.

Dive deeper into Python by learning how to organize, analyze, and visualize student grades. This section covers dictionaries, conditional logic, and basic data analysis techniques tailored for teachers.

Explore how Python can automate common classroom tasks such as attendance tracking, assignment management, and generating reports. This section introduces file operations and more advanced automation techniques.

Challenge: Calculate Class Attendance

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