
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

Lær det grunnleggende innen geometrisk modellering med Python. Utforsk hvordan man kan representere, manipulere og tilnærme geometriske figurer programmatisk. Dette kurset dekker grunnleggende former, transformasjoner og praktiske tilnærmingsteknikker, og gjør geometriske konsepter tilgjengelige og interaktive.

Kom i gang med kjernebegrepene innen geometrisk modellering og hvordan Python kan brukes til å representere og manipulere grunnleggende former.

Fordyp deg i geometriske transformasjoner som translasjon, rotasjon og skalering, og se hvordan de påvirker former i Python.

Lær hvordan du kan tilnærme kurver og komplekse former ved hjelp av polygoner og andre teknikker i Python.

Challenge: Skalering

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