Comparing system responses is essential for design decisions. This challenge will help you automate comparative analysis using Python. You will use your knowledge of **mass-spring-damper system simulation** and **plotting** to directly compare the time-domain responses of two different systems. By visualizing both displacement curves on the same graph, you can quickly identify differences in performance, such as **damping**, **oscillation frequency**, or **settling time**.


import unittest
import user_code
import ast
import re   
import importlib
import csv
import unittest
import importlib
import math
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt

class TestTask(unittest.TestCase):
    def setUp(self):
        # Reload user module for each test
        import user_code
        importlib.reload(user_code)
        self.uc = user_code
        self.t = [i*0.01 for i in range(1001)]

    def test_displacement_first_system(self):
        # The function must compute the displacement for the first system using the provided parameters and time vector
        x1 = self.uc.simulate_mass_spring_damper(1.0, 0.2, 2.0, 1.0, 0.0, self.t)
        _dynamic_test(
            self,
            isinstance(x1, list) and len(x1) == len(self.t) and abs(x1[0] - 1.0) < 1e-6,
            "First system displacement computed and starts at correct initial value",
            f"Displacement for first system not computed correctly. Length: {len(x1)}; First value: {x1[0] if x1 else None}"
        )
        # Check that the displacement decreases over time (damped)
        _dynamic_test(
            self,
            x1[100] < x1[0],
            "First system displacement shows decay (damping present)",
            f"Displacement for first system does not show decay: x1[0]={x1[0]}, x1[100]={x1[100]}"
        )

    def test_displacement_second_system(self):
        # The function must compute the displacement for the second system using the provided parameters and time vector
        x2 = self.uc.simulate_mass_spring_damper(1.0, 0.8, 2.0, 1.0, 0.0, self.t)
        _dynamic_test(
            self,
            isinstance(x2, list) and len(x2) == len(self.t) and abs(x2[0] - 1.0) < 1e-6,
            "Second system displacement computed and starts at correct initial value",
            f"Displacement for second system not computed correctly. Length: {len(x2)}; First value: {x2[0] if x2 else None}"
        )
        # Should decay faster due to higher damping
        _dynamic_test(
            self,
            abs(x2[100]) < abs(x2[100] + 0.1),
            "Second system shows expected decay in displacement",
            f"Displacement for second system does not show expected decay: x2[0]={x2[0]}, x2[100]={x2[100]}"
        )

    def test_displacement_same_length(self):
        # Both displacement lists must have the same length as the time vector
        x1 = self.uc.simulate_mass_spring_damper(1.0, 0.2, 2.0, 1.0, 0.0, self.t)
        x2 = self.uc.simulate_mass_spring_damper(1.0, 0.8, 2.0, 1.0, 0.0, self.t)
        _dynamic_test(
            self,
            len(x1) == len(self.t) and len(x2) == len(self.t),
            "Both displacement lists have the same length as the time vector",
            f"x1 length: {len(x1)}, x2 length: {len(x2)}, t length: {len(self.t)}"
        )

    def test_plot_labels_and_legend(self):
        # The script must plot both displacement curves with clear labeling and a legend
        import sys
        import types
        import builtins
        # Patch plt.show to prevent blocking
        plt_show_called = {'called': False}
        orig_show = plt.show
        def fake_show(*args, **kwargs):
            plt_show_called['called'] = True
        plt.show = fake_show

        # Reload user_code and run script
        import user_code
        importlib.reload(user_code)
        # Check that both lines are in the axes
        found_labels = []
        for ax in plt.gcf().axes:
            for line in ax.get_lines():
                found_labels.append(line.get_label())
        # Check for axis labels, title, and legend
        xlabel = plt.gca().get_xlabel()
        ylabel = plt.gca().get_ylabel()
        title = plt.gca().get_title()
        legend = plt.gca().get_legend()
        _dynamic_test(
            self,
            "System 1 (c=0.2)" in found_labels and "System 2 (c=0.8)" in found_labels,
            "Both system curves are plotted with correct labels",
            f"Expected curve labels not found. Found: {found_labels}"
        )
        _dynamic_test(
            self,
            xlabel.lower().startswith("time"),
            "X-axis is labeled as time",
            f"X-axis label is not correct: {xlabel}"
        )
        _dynamic_test(
            self,
            ylabel.lower().startswith("displacement"),
            "Y-axis is labeled as displacement",
            f"Y-axis label is not correct: {ylabel}"
        )
        _dynamic_test(
            self,
            "mass-spring-damper" in title.lower(),
            "Plot title contains 'mass-spring-damper'",
            f"Plot title is not correct: {title}"
        )
        _dynamic_test(
            self,
            legend is not None,
            "Legend is present on the plot",
            "Legend is missing from the plot"
        )
        plt.show = orig_show

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: Compare System Responses

Solution

Challenge: Compare System Responses

Solution