diff --git a/.coverage b/.coverage new file mode 100644 index 0000000..dce1319 Binary files /dev/null and b/.coverage differ diff --git a/bosco/benchmark.py b/bosco/benchmark.py index 63547e0..cb7f986 100644 --- a/bosco/benchmark.py +++ b/bosco/benchmark.py @@ -22,10 +22,8 @@ def run_sorting_algorithm( except (ImportError, AttributeError): raise ValueError(f"Could not import {algorithm} from {file_path}") - stmt = f"{algorithm_func.__name__}({array})" times = repeat( - setup=f"from {module_name} import {algorithm}", - stmt=stmt, + lambda: algorithm_func(array), repeat=3, number=10, ) diff --git a/bosco/generate.py b/bosco/generate.py index e52522e..a52e34b 100644 --- a/bosco/generate.py +++ b/bosco/generate.py @@ -1,12 +1,27 @@ -"""Generate random container.""" - import random -from typing import List +import string +from typing import List, Union def generate_random_container( size: int, -) -> List[int]: - """Generate a random list defined by the size.""" - random_list = [random.randint(1, size * size) for _ in range(size)] - return random_list \ No newline at end of file + type_: str = "int", +) -> List[Union[int, float, str]]: + """Generate a random list defined by the size and element type.""" + if type_ == "int": + # Generate a list of random integers within the range [1, size*size] + random_list = [random.randint(1, size * size) for _ in range(size)] + elif type_ == "float": + # Generate a list of random floating-point numbers within the range [1, size*size] + random_list = [random.uniform(1, size * size) for _ in range(size)] + elif type_ == "str": + # Generate a list of random strings of length 10 composed of letters and digits + random_list = [ + "".join(random.choices(string.ascii_letters + string.digits, k=10)) + for _ in range(size) + ] + else: + # Raise an error if an unsupported type is specified + raise ValueError(f"Unsupported type: {type_}") + + return random_list # Return the generated random list diff --git a/bosco/main.py b/bosco/main.py index ed24d8e..b5852c5 100644 --- a/bosco/main.py +++ b/bosco/main.py @@ -18,22 +18,24 @@ def bosco( number_doubles: int = typer.Option(5), file: str = typer.Option("./bosco/sorting.py"), function_name: str = typer.Option("bubble_sort"), + element_type: str = typer.Option( + "int", help="Type of the generated elements (int, float, or str)" + ), ) -> None: """Conduct a doubling experiment to measure the performance of list sorting for a specific algorithm.""" - console.print( - "\n:dog: Bosco is fetching our results!\n" - ) + console.print("\n:dog: Bosco is fetching our results!\n") console.print(f"Path to the desired file: {file}\n") console.print(f"Name of the desired function: {function_name}\n") console.print(f"Starting size of the data container: {starting_size}\n") console.print(f"Number of doubles to execute: {number_doubles}\n") + console.print(f"Type of the generated elements: {element_type}\n") console.print("📈 Here are the results from running the 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+python-versions = "*" +files = [ + {file = "xtermcolor-1.3.tar.gz", hash = "sha256:66dd9f4b1489ba8a24d5be746fbbd70ecbe55a9cc1795ab552e9734e14bdbcdd"}, +] [metadata] lock-version = "2.0" python-versions = "^3.11" -content-hash = "81b2fa642d7f2d1219cf80112ace12d689d053d81be7f7addb98144d56fc0fb2" +content-hash = "1fc3de09ce4297000f7d172edff9ef58a2e56f2df6300e8f5d4ce31e11a0a723" diff --git a/pyproject.toml b/pyproject.toml index 5debbc3..6be0197 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,6 +12,8 @@ bosco = "bosco.main:cli" python = "^3.11" rich = "^10.9.0" typer = {extras = ["all"], version = "^0.7.0"} +plotly = "^5.21.0" +tabulate = "^0.9.0" [tool.poetry.dev-dependencies] taskipy = "^1.8.1" diff --git a/tests/test_benchmark.py b/tests/test_benchmark.py new file mode 100644 index 0000000..10e0f0f --- /dev/null +++ b/tests/test_benchmark.py @@ -0,0 +1,62 @@ +import os +import sys +from unittest.mock import Mock, patch + +import pytest + +from bosco.benchmark import run_sorting_algorithm + + +@pytest.fixture +def setup(): + array = [5, 2, 8, 12, 1, 6] + file_path = "bosco/sorting.py" + algorithm = "bubble_sort" + return array, file_path, algorithm + + +def test_run_sorting_algorithm_success(setup): + array, file_path, algorithm = setup + with patch( + "builtins.__import__", return_value=Mock(bubble_sort=lambda x: x) + ): + min_time, max_time, avg_time = run_sorting_algorithm( + file_path, algorithm, array + ) + assert isinstance(min_time, float) + assert isinstance(max_time, float) + assert isinstance(avg_time, float) + assert max_time >= min_time + + +def test_run_sorting_algorithm_import_error(setup): + array, file_path, algorithm = setup + with patch("builtins.__import__", side_effect=ImportError): + with pytest.raises(ValueError) as exc_info: + run_sorting_algorithm(file_path, algorithm, array) + assert ( + str(exc_info.value) + == f"Could not import {algorithm} from {file_path}" + ) + + +def test_run_sorting_algorithm_attribute_error(setup): + array, file_path, algorithm = setup + with patch("builtins.__import__", return_value=Mock(spec=[])): + with pytest.raises(ValueError) as exc_info: + run_sorting_algorithm(file_path, algorithm, array) + assert ( + str(exc_info.value) + == f"Could not import {algorithm} from {file_path}" + ) + + +def test_run_sorting_algorithm_directory_in_path(setup): + array, _, algorithm = setup + file_path = "algorithms/sorting_algorithms.py" + with patch( + "builtins.__import__", return_value=Mock(bubble_sort=lambda x: x) + ): + with patch.object(sys, "path", []): + run_sorting_algorithm(file_path, algorithm, array) + assert "algorithms" in sys.path diff --git a/tests/test_constants.py b/tests/test_constants.py index fdde0f9..63413e1 100644 --- a/tests/test_constants.py +++ b/tests/test_constants.py @@ -1,8 +1,10 @@ """Confirm the correctness of the constants module.""" -import pytest from dataclasses import FrozenInstanceError -from bosco import constants + +import pytest + +from bosco.constants import Bosco @pytest.fixture @@ -24,7 +26,7 @@ def bosco(): def test_number_of_constants(bosco): """Confirm that there are the correct number of constants.""" - assert len(bosco.__annotations__) == 9 + assert len(bosco.__annotations__) == 10 # noqa: PLR2004 def test_default_values(bosco): diff --git a/tests/test_generate.py b/tests/test_generate.py new file mode 100644 index 0000000..e4daa0a --- /dev/null +++ b/tests/test_generate.py @@ -0,0 +1,57 @@ +import random +from typing import List + +import pytest + +from bosco.generate import generate_random_container + + +def test_generate_random_container_size(): + sizes = [0, 1, 5, 10] + for size in sizes: + container = generate_random_container(size) + assert len(container) == size + + +def test_generate_random_container_elements_int(): + size = 10 + container = generate_random_container(size, type_="int") + for element in container: + assert isinstance(element, int) + assert 1 <= element <= size * size + + +def test_generate_random_container_elements_float(): + size = 10 + container = generate_random_container(size, type_="float") + for element in container: + assert isinstance(element, float) + assert 1 <= element <= size * size + + +def test_generate_random_container_elements_str(): + size = 10 + container = generate_random_container(size, type_="str") + for element in container: + assert isinstance(element, str) + assert len(element) == 10 # noqa: PLR2004 + + +def test_generate_random_container_randomness(): + size = 5 + container1 = generate_random_container(size) + container2 = generate_random_container(size) + assert container1 != container2 + + +def test_generate_random_container_return_type(): + size = 3 + container = generate_random_container(size) + assert isinstance(container, list) + + +def test_generate_random_container_invalid_type(): + size = 5 + with pytest.raises(ValueError) as exc_info: + generate_random_container(size, type_="invalid") + assert str(exc_info.value) == "Unsupported type: invalid"