import unittest
import user_code  # ÐºÐ¾Ð´ ÑÑÑÐ´ÐµÐ½ÑÐ°

def _dynamic(tc, ok, ok_msg, fail_msg):
    tc._testMethodName = ok_msg if ok else fail_msg
    (tc.assertTrue if ok else tc.fail)(tc._testMethodName)

class TestCustomerSets(unittest.TestCase):

    def test_input_lists_present(self):
        new_list = getattr(user_code, "new_customers", None)
        rep_list = getattr(user_code, "repeat_customers", None)
        ok = isinstance(new_list, list) and isinstance(rep_list, list)
        _dynamic(self, ok,
                 "PASS: input lists present",
                 f"FAIL: input lists missing or wrong types (new_customers={type(new_list).__name__ if new_list is not None else None}, "
                 f"repeat_customers={type(rep_list).__name__ if rep_list is not None else None})")

    def test_base_sets_correct(self):
        new_list = getattr(user_code, "new_customers", [])
        rep_list = getattr(user_code, "repeat_customers", [])
        exp_new = set(new_list)
        exp_rep = set(rep_list)

        set_new = getattr(user_code, "set_new", None)
        set_repeat = getattr(user_code, "set_repeat", None)

        reasons = []
        if set_new != exp_new:
            reasons.append(f"set_new != set(new_customers); got {set_new}")
        if set_repeat != exp_rep:
            reasons.append(f"set_repeat != set(repeat_customers); got {set_repeat}")

        _dynamic(self, len(reasons) == 0,
                 "PASS: set_new and set_repeat are correct",
                 "FAIL: " + " | ".join(reasons) if reasons else "FAIL")

    def test_derived_sets_correct(self):
        new_list = getattr(user_code, "new_customers", [])
        rep_list = getattr(user_code, "repeat_customers", [])
        A = set(new_list)
        B = set(rep_list)

        exp_union = A | B
        exp_inter = A & B
        exp_new_only = A - B

        all_customers = getattr(user_code, "all_customers", None)
        shared_customers = getattr(user_code, "shared_customers", None)
        exclusive_new = getattr(user_code, "exclusive_new", None)

        reasons = []
        if all_customers != exp_union:
            reasons.append(f"all_customers mismatch; expected={exp_union}, got={all_customers}")
        if shared_customers != exp_inter:
            reasons.append(f"shared_customers mismatch; expected={exp_inter}, got={shared_customers}")
        if exclusive_new != exp_new_only:
            reasons.append(f"exclusive_new mismatch; expected={exp_new_only}, got={exclusive_new}")

        _dynamic(self, len(reasons) == 0,
                 "PASS: all_customers, shared_customers, exclusive_new are correct",
                 "FAIL: " + " | ".join(reasons) if reasons else "FAIL")


test_code.py

Master the mathematical foundations essential for data science. Explore core concepts in functions, calculus, linear algebra, probability, and dimensionality reduction. Build both theoretical understanding and practical coding experience to strengthen your ability to analyze data, model complex systems, and apply advanced techniques in machine learning.

Explore the foundation of mathematical functions. Learn different types of algebraic and transcendental functions, their properties, and how to implement them in Python to solve real-world problems.

Master the concepts of sets and series, from basic operations to practical applications. Gain hands-on experience implementing set operations and working with arithmetic and geometric series in Python.

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Dive into probability theory and statistics. Study conditional probability, Bayes' theorem, and statistical measures. Implement key concepts in Python, simulate distributions, and strengthen your skills through challenges and quizzes.

Challenge: Customer Segmentation Using Sets

解答