import unittest
import tracemalloc
import functools
import re

# Helper function to dynamically generate test names and assertions
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)


class TestUserCode(unittest.TestCase):

    def test_snapshot_before_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, "snapshot_before"),
            "The `snapshot_before` variable is declared.",
            "Expected `snapshot_before` to be declared."
        )

    def test_snapshot_after_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, "snapshot_after"),
            "The `snapshot_after` variable is declared.",
            "Expected `snapshot_after` to be declared."
        )

    def test_top_stats_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, "top_stats"),
            "The `top_stats` variable is declared.",
            "Expected `top_stats` to be declared."
        )

    def test_top_stats_is_list(self):
        import user_code
        try:
            condition = isinstance(user_code.top_stats, list) and len(user_code.top_stats) > 0
            failure_message = f"Expected `top_stats` to be a non-empty list, but got `{type(user_code.top_stats)}`."
        except AttributeError:
            condition = False
            failure_message = "The `top_stats` variable is not declared."
        _dynamic_test(
            self,
            condition,
            "The `top_stats` is a non-empty list of snapshot statistics.",
            failure_message
        )

    def test_generate_report_fixed_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, "generate_report_fixed"),
            "The `generate_report_fixed` function is declared.",
            "Expected `generate_report_fixed` to be declared."
        )

    def test_lru_cache_used(self):
        with open("user_code.py", "r") as file:
            source = file.read()
        _dynamic_test(
            self,
            bool(re.search(r"lru_cache\s*\(\s*maxsize\s*=\s*256\s*\)", source)),
            "`@functools.lru_cache(maxsize=256)` is applied to `generate_report_fixed`.",
            "Expected `@functools.lru_cache(maxsize=256)` to be used."
        )

    def test_generate_report_fixed_returns_list(self):
        import user_code
        try:
            result = user_code.generate_report_fixed(1)
            condition = isinstance(result, list) and len(result) == 500
            failure_message = f"Expected `generate_report_fixed()` to return a list of 500 elements, but got `{type(result)}` with length `{len(result) if isinstance(result, list) else 'N/A'}`."
        except AttributeError:
            condition = False
            failure_message = "The `generate_report_fixed` function is not declared."
        _dynamic_test(
            self,
            condition,
            "`generate_report_fixed()` returns a list of `500` elements.",
            failure_message
        )

    def test_tracemalloc_start_used(self):
        with open("user_code.py", "r") as file:
            source = file.read()
        _dynamic_test(
            self,
            bool(re.search(r"tracemalloc\.start\s*\(\s*\)", source)),
            "`tracemalloc.start()` is called to begin tracing.",
            "Expected `tracemalloc.start()` to be called."
        )

    def test_compare_to_used(self):
        with open("user_code.py", "r") as file:
            source = file.read()
        _dynamic_test(
            self,
            bool(re.search(r"compare_to\s*\(", source)),
            "`compare_to()` is used to compare the two snapshots.",
            "Expected `snapshot_after.compare_to(snapshot_before, ...)` to be used."
        )


if __name__ == "__main__":
    unittest.main()

test_main.py

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Explore the essentials of Python's memory management, including reference counting, garbage collection, and memory allocation strategies.

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Challenge: Profiling and Fixing a Leaky Pipeline

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