
import unittest
import user_code
import ast
import re   
import importlib
import csv
import unittest
import importlib

class TestTask(unittest.TestCase):
    def test_returns_only_calibrated_above_threshold(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'calibrate_and_filter_readings', None)
        _dynamic_test(
            self,
            callable(func),
            "Function 'calibrate_and_filter_readings' is defined.",
            "Function 'calibrate_and_filter_readings' is not defined."
        )
        # Sensor readings, calibration factor, threshold
        readings = [1.0, 5.0, 10.0, 15.0]
        calibration_factor = 2.0
        threshold = 15.0
        # Calibrated: [1*2+2=4, 5*2+2=12, 10*2+2=22, 15*2+2=32]
        # Only 22, 32 >= 15
        result = func(readings, calibration_factor, threshold) if func else None
        expected = [22.0, 32.0]
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            f"Correctly returns only calibrated readings >= threshold: {expected}",
            f"Expected {expected}, got {result}"
        )

    def test_applies_calibration_formula(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'calibrate_and_filter_readings', None)
        readings = [3.0]
        calibration_factor = 4.0
        threshold = 0.0
        # Calibrated: 3*4+2 = 14
        result = func(readings, calibration_factor, threshold) if func else None
        _dynamic_test(
            self,
            isinstance(result, list) and result == [14.0],
            "Calibration formula applied correctly.",
            f"Expected [14.0], got {result}"
        )

    def test_all_filtered_out(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'calibrate_and_filter_readings', None)
        readings = [1.0, 2.0]
        calibration_factor = 1.0
        threshold = 10.0
        # Calibrated: [1*1+2=3, 2*1+2=4] -> both < 10
        result = func(readings, calibration_factor, threshold) if func else None
        _dynamic_test(
            self,
            isinstance(result, list) and result == [],
            "Returns empty list when all readings are filtered out.",
            f"Expected [], got {result}"
        )

    def test_all_included(self):
        import user_code
        importlib.reload(user_code)
        func = getattr(user_code, 'calibrate_and_filter_readings', None)
        readings = [5.0, 6.0]
        calibration_factor = 2.0
        threshold = 0.0
        # Calibrated: [12, 14] (all >= 0)
        result = func(readings, calibration_factor, threshold) if func else None
        _dynamic_test(
            self,
            isinstance(result, list) and result == [12.0, 14.0],
            "All values included when threshold is low enough.",
            f"Expected [12.0, 14.0], got {result}"
        )

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

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Challenge: Batch Process Sensor Data

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Challenge: Batch Process Sensor Data

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