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

class TestTask(unittest.TestCase):
    def test_merge_all_keys(self):
        import user_code
        importlib.reload(user_code)
        d1 = {'a': 1, 'b': 2}
        d2 = {'b': 3, 'c': 4}
        result = user_code.merge_dicts(d1, d2)
        expected = {'a': 1, 'b': 3, 'c': 4}
        _dynamic_test(
            self,
            isinstance(result, dict) and result == expected,
            "Merged dictionary contains all keys and correct values when keys overlap.",
            f"Expected {expected}, got {result}"
        )

    def test_merge_with_empty_first(self):
        import user_code
        importlib.reload(user_code)
        d1 = {}
        d2 = {'x': 10}
        result = user_code.merge_dicts(d1, d2)
        expected = {'x': 10}
        _dynamic_test(
            self,
            isinstance(result, dict) and result == expected,
            "Merging with an empty first dictionary works.",
            f"Expected {expected}, got {result}"
        )

    def test_merge_with_empty_second(self):
        import user_code
        importlib.reload(user_code)
        d1 = {'foo': 9}
        d2 = {}
        result = user_code.merge_dicts(d1, d2)
        expected = {'foo': 9}
        _dynamic_test(
            self,
            isinstance(result, dict) and result == expected,
            "Merging with an empty second dictionary works.",
            f"Expected {expected}, got {result}"
        )

    def test_no_modification_of_inputs(self):
        import user_code
        importlib.reload(user_code)
        d1 = {'a': 1, 'b': 2}
        d2 = {'b': 3, 'c': 4}
        d1_copy = d1.copy()
        d2_copy = d2.copy()
        result = user_code.merge_dicts(d1, d2)
        _dynamic_test(
            self,
            d1 == d1_copy and d2 == d2_copy,
            "Input dictionaries are not modified after merge.",
            f"Input dictionaries were modified. d1: {d1}, d2: {d2}"
        )

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

Beheers het inpakken/uitpakken, flexibele functieargumenten, hogere-orde functies, lambda's, variabele scope, closures, iterators en decorators. Ontworpen voor cursisten die een inleidende Python-cursus hebben voltooid en efficiëntere, expressievere en krachtigere code willen schrijven.

Ontdek de kunst van het inpakken en uitpakken van lijsten, tuples en dictionaries om expressievere en efficiëntere Python-code te schrijven.

Verdiep je in de wereld van hogere-orde functies, het doorgeven van functies als argumenten en het schrijven van beknopte anonieme functies met lambda.

Ontdek de geheimen van variabele scope en leer hoe geneste functies en closures krachtige encapsulatie mogelijk maken.

Verdiep u in het iteratieprotocol van Python, aangepaste iterators en generatorfuncties voor efficiënte gegevensverwerking.

Challenge: Dictionaries Samenvoegen Met Unpacking

Oplossing