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

class TestTask(unittest.TestCase):
    def test_scaling_positive_factor(self):
        import user_code
        importlib.reload(user_code)
        polygon = [(1, 2), (3, 4), (5, 6)]
        scale = 2
        expected = [(2, 4), (6, 8), (10, 12)]
        result = user_code.scale_polygon(polygon, scale)
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Correct scaling for positive factor.",
            f"Expected {expected}, got {result} for scaling by {scale}",
        )

    def test_scaling_negative_factor(self):
        import user_code
        importlib.reload(user_code)
        polygon = [(1, -2), (-3, 4), (0, 0)]
        scale = -1
        expected = [(-1, 2), (3, -4), (0, 0)]
        result = user_code.scale_polygon(polygon, scale)
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            f"Correct scaling for negative factor.",
            f"Expected {expected}, got {result} for scaling by {scale}",
        )

    def test_scaling_zero_points(self):
        import user_code
        importlib.reload(user_code)
        polygon = []
        scale = 5
        expected = []
        result = user_code.scale_polygon(polygon, scale)
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Handles empty polygon correctly.",
            f"Expected empty list, got {result}",
        )

    def test_scaling_float_factor(self):
        import user_code
        importlib.reload(user_code)
        polygon = [(1, 2), (3, 4)]
        scale = 0.5
        expected = [(0.5, 1.0), (1.5, 2.0)]
        result = user_code.scale_polygon(polygon, scale)
        _dynamic_test(
            self,
            isinstance(result, list) and result == expected,
            "Handles float scaling factor correctly.",
            f"Expected {expected}, got {result} for scaling by {scale}",
        )

    def test_original_not_modified(self):
        import user_code
        importlib.reload(user_code)
        polygon = [(2, 3), (4, 5)]
        polygon_copy = list(polygon)
        scale = 3
        _ = user_code.scale_polygon(polygon, scale)
        _dynamic_test(
            self,
            polygon == polygon_copy,
            "Original polygon is not modified.",
            f"Original polygon was modified: {polygon} != {polygon_copy}",
        )

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

Lär dig grunderna i geometrisk modellering med Python. Utforska hur man representerar, manipulerar och approximerar geometriska figurer programmatiskt. Denna kurs täcker grundläggande former, transformationer och praktiska approximationstekniker, vilket gör geometriska koncept tillgängliga och interaktiva.

Kom igång med kärnbegreppen inom geometrisk modellering och hur Python kan användas för att representera och manipulera grundläggande former.

Fördjupa dig i geometriska transformationer såsom translation, rotation och skalning, och se hur de påverkar former i Python.

Lär dig hur du kan approximera kurvor och komplexa former med hjälp av polygoner och andra tekniker i Python.

Utmaning: Skalning

Lösning