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

class TestTask(unittest.TestCase):
    def setUp(self):
        # Patch plt.show to avoid displaying plots during tests
        self._show_backup = plt.show
        plt.show = lambda *args, **kwargs: None

    def tearDown(self):
        plt.show = self._show_backup

    def get_line_data(self, ax):
        # Get all lines from the axes
        lines = ax.get_lines()
        if not lines:
            return [], []
        xdata = lines[0].get_xdata()
        ydata = lines[0].get_ydata()
        return list(xdata), list(ydata)

    def test_connects_vertices_in_order(self):
        import user_code
        importlib.reload(user_code)
        plt.clf()
        vertices = [(0, 0), (2, 0), (1, 2)]
        user_code.plot_polygon(vertices)
        ax = plt.gca()
        xdata, ydata = self.get_line_data(ax)
        expected_x = [0, 2, 1, 0]
        expected_y = [0, 0, 2, 0]
        _dynamic_test(
            self,
            xdata == expected_x and ydata == expected_y,
            "Vertices are connected in the correct order and polygon is closed",
            f"Expected x: {expected_x}, y: {expected_y}; got x: {xdata}, y: {ydata}"
        )

    def test_polygon_closed(self):
        import user_code
        importlib.reload(user_code)
        plt.clf()
        vertices = [(1, 1), (4, 1), (4, 4), (1, 4)]
        user_code.plot_polygon(vertices)
        ax = plt.gca()
        xdata, ydata = self.get_line_data(ax)
        # Check if the last point connects to the first
        _dynamic_test(
            self,
            xdata[0] == xdata[-1] and ydata[0] == ydata[-1],
            "Polygon is closed by connecting last vertex to the first",
            f"Polygon is not closed: start ({xdata[0]}, {ydata[0]}), end ({xdata[-1]}, {ydata[-1]})"
        )

    def test_vertices_as_points(self):
        import user_code
        importlib.reload(user_code)
        plt.clf()
        vertices = [(3, 1), (6, 1), (6, 3), (3, 3)]
        user_code.plot_polygon(vertices)
        ax = plt.gca()
        lines = ax.get_lines()
        _dynamic_test(
            self,
            len(lines) > 0,
            "Plot contains at least one line object",
            "No line object found in plot"
        )
        xdata = lines[0].get_xdata()
        ydata = lines[0].get_ydata()
        # Check that all original vertices are present as points in the plot
        points = set((x, y) for x, y in zip(xdata, ydata))
        for vx, vy in vertices:
            _dynamic_test(
                self,
                (vx, vy) in points,
                f"Vertex ({vx}, {vy}) is plotted as a point",
                f"Vertex ({vx}, {vy}) is missing from the plot"
            )

    def test_handles_three_or_more_vertices(self):
        import user_code
        importlib.reload(user_code)
        plt.clf()
        # Triangle
        vertices3 = [(0, 0), (1, 0), (0.5, 1)]
        user_code.plot_polygon(vertices3)
        ax = plt.gca()
        xdata, ydata = self.get_line_data(ax)
        _dynamic_test(
            self,
            len(xdata) == 4 and len(ydata) == 4,
            "Function handles polygons with three vertices (triangle)",
            f"Triangle not plotted correctly: x={xdata}, y={ydata}"
        )
        plt.clf()
        # Pentagon
        vertices5 = [(0, 0), (1, 0), (1.5, 1), (0.5, 2), (-0.5, 1)]
        user_code.plot_polygon(vertices5)
        ax = plt.gca()
        xdata, ydata = self.get_line_data(ax)
        _dynamic_test(
            self,
            len(xdata) == 6 and len(ydata) == 6,
            "Function handles polygons with five vertices (pentagon)",
            f"Pentagon not plotted correctly: x={xdata}, y={ydata}"
        )

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

Impara i fondamenti della modellazione geometrica utilizzando Python. Esplora come rappresentare, manipolare e approssimare figure geometriche in modo programmatico. Questo corso copre le forme di base, le trasformazioni e le tecniche pratiche di approssimazione, rendendo i concetti geometrici accessibili e interattivi.

Inizia con i concetti fondamentali della modellazione geometrica e come Python può essere utilizzato per rappresentare e manipolare forme di base.

Approfondimento sulle trasformazioni geometriche come traslazione, rotazione e ridimensionamento, e analisi di come influenzano le forme in Python.

Imparare come approssimare curve e forme complesse utilizzando poligoni e altre tecniche in Python.

Sfida: Tracciamento di Poligoni

Soluzione