diff --git a/.coveragerc b/.coveragerc new file mode 100644 index 0000000..c19467b --- /dev/null +++ b/.coveragerc @@ -0,0 +1,5 @@ +[run] +source = inheritance_explorer + +[report] +fail_under = 97 \ No newline at end of file diff --git a/.github/workflows/run-tests.yml b/.github/workflows/run-tests.yaml similarity index 92% rename from .github/workflows/run-tests.yml rename to .github/workflows/run-tests.yaml index 6acfe9e..bc420b2 100644 --- a/.github/workflows/run-tests.yml +++ b/.github/workflows/run-tests.yaml @@ -1,10 +1,7 @@ name: Run tests on: - pull_request: - paths: - - '**.py' - - '**run-tests.yml' + pull_request: schedule: - cron: "30 1 * * 1" diff --git a/.github/workflows/type-check.yaml b/.github/workflows/type-check.yaml new file mode 100644 index 0000000..703647f --- /dev/null +++ b/.github/workflows/type-check.yaml @@ -0,0 +1,39 @@ +name: type checking + +on: + pull_request: + paths: + - inheritance_explorer/**/*.py + - pyproject.toml + - requirements/typecheck.txt + - .github/workflows/type-checking.yaml + workflow_dispatch: + +jobs: + build: + runs-on: ubuntu-latest + name: type check + timeout-minutes: 60 + + steps: + - name: Checkout repo + uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + # run with oldest supported python version + # so that we always get compatible versions of + # core dependencies at type-check time + python-version: '3.10' + + - name: Build + run: | + python3 -m pip install --upgrade pip + python3 -m pip install -r requirements/typecheck.txt + + - name: list installed deps + run: python -m pip list + + - name: Run mypy + run: mypy inheritance_explorer diff --git a/HISTORY.rst b/HISTORY.rst index d4de3b2..558bf9a 100644 --- a/HISTORY.rst +++ b/HISTORY.rst @@ -2,6 +2,10 @@ History ======= +v0.2.0dev +--------- +* Improved typing (`PR 42 `_) + v0.2.0 ------ * enable styling on interactive graphs (see `new example `_) diff --git a/docs/examples/ex_001_basic_usage.ipynb b/docs/examples/ex_001_basic_usage.ipynb index 72406d4..0d47560 100644 --- a/docs/examples/ex_001_basic_usage.ipynb +++ b/docs/examples/ex_001_basic_usage.ipynb @@ -30,7 +30,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ "" ] @@ -58,7 +58,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ "" ] @@ -106,7 +106,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ "" ] @@ -163,7 +163,7 @@ "data": { "text/plain": [ "({0: 'Axes', 1: 'GeoAxes', 2: 'LambertAxes', 3: 'PolarAxes', 4: 'Axes3D'},\n", - " )" + " )" ] }, "execution_count": 5, @@ -172,7 +172,7 @@ }, { "data": { - "image/png": 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\n", 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", 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" ] @@ -860,14 +860,6 @@ "metadata": {}, "outputs": [], "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "53bd4234-de2d-4b4b-a090-b9fcde9bff5e", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { @@ -886,7 +878,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.10.11" } }, "nbformat": 4, diff --git a/docs/examples/ex_002_inheritance_scope.ipynb b/docs/examples/ex_002_inheritance_scope.ipynb index 000ac64..9517f12 100644 --- a/docs/examples/ex_002_inheritance_scope.ipynb +++ b/docs/examples/ex_002_inheritance_scope.ipynb @@ -265,7 +265,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.10.11" } }, "nbformat": 4, diff --git a/docs/examples/ex_003_Qwidgets.ipynb b/docs/examples/ex_003_Qwidgets.ipynb index 39c9821..5dad745 100644 --- a/docs/examples/ex_003_Qwidgets.ipynb +++ b/docs/examples/ex_003_Qwidgets.ipynb @@ -214,7 +214,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.10.11" } }, "nbformat": 4, diff --git a/inheritance_explorer/_testing.py b/inheritance_explorer/_testing.py index 1ace9e8..0813d5b 100644 --- a/inheritance_explorer/_testing.py +++ b/inheritance_explorer/_testing.py @@ -1,10 +1,12 @@ class ClassForTesting: - def use_this_func(self, a): + misc_attr: int = 1 + + def use_this_func(self, a: int) -> int: return a class ClassForTesting2(ClassForTesting): - def use_this_func(self, a): + def use_this_func(self, a: int) -> int: b = a * 10 return b @@ -14,7 +16,7 @@ class ClassForTesting3(ClassForTesting): class ClassForTesting4(ClassForTesting2): - def use_this_func(self, a): + def use_this_func(self, a: int) -> int: b = a * 10 c = b + 10 return c diff --git a/inheritance_explorer/_widget_support.py b/inheritance_explorer/_widget_support.py index 5cd83f3..43bd0d4 100644 --- a/inheritance_explorer/_widget_support.py +++ b/inheritance_explorer/_widget_support.py @@ -73,8 +73,8 @@ def update_source_2(event): class_dropdown_1.observe(update_source_1, ["value"]) class_dropdown_2.observe(update_source_2, ["value"]) - update_source_1(None) - update_source_2(None) + update_source_1(None) # type: ignore[no-untyped-call] + update_source_2(None) # type: ignore[no-untyped-call] if class_1_name is not None: class_dropdown_1.value = class_1_name diff --git a/inheritance_explorer/inheritance_explorer.py b/inheritance_explorer/inheritance_explorer.py index 1cf8cba..35bdc60 100644 --- a/inheritance_explorer/inheritance_explorer.py +++ b/inheritance_explorer/inheritance_explorer.py @@ -1,11 +1,12 @@ import collections import inspect import textwrap -from typing import Any, List, Optional, Tuple, Union +from typing import Any, Optional, OrderedDict import matplotlib.pyplot as plt import networkx as nx import numpy as np +import numpy.typing as npt import pydot from matplotlib.axes import Axes from matplotlib.colors import rgb2hex @@ -24,7 +25,7 @@ def __init__( color: Optional[str] = "#000000", ): self.child = child - self.child_name = child.__name__ + self.child_name: str = str(child.__name__) self._child_id = child_id self.parent = parent @@ -41,10 +42,13 @@ def child_id(self) -> str: return str(self._child_id) @property - def parent_id(self) -> str: + def parent_id(self) -> str | None: if self._parent_id: return str(self._parent_id) - return + return None + + +_similarity_container_types = PycodeSimilarity class ClassGraphTree: @@ -76,38 +80,44 @@ def __init__( self, baseclass: Any, funcname: Optional[str] = None, - default_color: Optional[str] = "#000000", - func_override_color: Optional[str] = "#ff0000", - similarity_cutoff: Optional[float] = 0.75, - max_recursion_level: Optional[int] = 500, - classes_to_exclude: Optional[List[str]] = None, + default_color: str = "#000000", + func_override_color: str = "#ff0000", + similarity_cutoff: float = 0.75, + max_recursion_level: int = 500, + classes_to_exclude: Optional[list[str]] = None, ): self.baseclass = baseclass self.basename: str = baseclass.__name__ self.funcname = funcname + self._tracking_function = self.funcname is not None self.max_recursion_level = max_recursion_level self._nodenum: int = 0 - self._node_list = [] # a list of unique ChildNodes - self._node_map = {} # map of global node index to node name - self._override_src = collections.OrderedDict() - self._override_src_files = {} + self._node_list: list[_ChildNode] = [] # a list of unique ChildNodes + self._node_map: dict[int, str] = {} # map of global node index to node name + self._override_src: OrderedDict[int, str] = collections.OrderedDict() + self._override_src_files: dict[int, str] = {} self._current_node = 1 # the current global node, must start at 1 self._default_color = default_color self._override_color = func_override_color - self._graphviz_args_kwargs = {} - self.similarity_container = None - self.similarity_results = None + self._graphviz_args_kwargs: dict[str, Any] = {} + self.similarity_container: _similarity_container_types | None = None + self.similarity_results: dict[str, npt.NDArray[Any]] self.similarity_cutoff = similarity_cutoff if classes_to_exclude is None: classes_to_exclude = [] self.classes_to_exclude = classes_to_exclude self._build() - self._node_map_r = {v: k for k, v in self._node_map.items()} # name to index + self._node_map_r: dict[str, int] = { + v: k for k, v in self._node_map.items() + } # name to index def _get_source_info(self, obj) -> Optional[str]: - f = getattr(obj, self.funcname) - if isinstance(f, collections.abc.Callable): + if self.funcname is None: + raise RuntimeError("this functionality requires function tracking.") + fname: str = self.funcname + f = getattr(obj, fname) + if isinstance(f, collections.abc.Callable): # type: ignore[arg-type] return f"{inspect.getsourcefile(f)}:{inspect.getsourcelines(f)[1]}" return None @@ -157,8 +167,12 @@ def _store_node_func_source(self, clss, current_node: int): # store the source code of funcname for the current class and node # clss: a class # current_node: the - f = getattr(clss, self.funcname) - if isinstance(f, collections.abc.Callable): + if self.funcname is None: + raise RuntimeError("this functionality requires function tracking.") + fname: str = self.funcname + + f = getattr(clss, fname) + if isinstance(f, collections.abc.Callable): # type: ignore[arg-type] src = textwrap.dedent(inspect.getsource(f)) self._override_src_files[current_node] = ( f"{inspect.getsourcefile(f)}:{inspect.getsourcelines(f)[1]}" @@ -167,21 +181,28 @@ def _store_node_func_source(self, clss, current_node: int): def check_source_similarity( self, - SimilarityContainer=PycodeSimilarity, - method="reference", + similarity_container_class: str = "PycodeSimilarity", + method: str = "reference", reference: Optional[int] = None, ): # compares all the source code of the child methods that have # over-ridden funcname if reference is None: - reference = 1 # use whatever the basenode is + ref = 1 # use whatever the basenode is + else: + ref = reference + + if similarity_container_class == "PycodeSimilarity": + SimClass = PycodeSimilarity + else: + raise ValueError(f"unexpected value, {similarity_container_class=}") - self.similarity_container = SimilarityContainer(method=method) - sim = self.similarity_container.run(self._override_src, reference=reference) + self.similarity_container = SimClass(method=method) + sim = self.similarity_container.run(self._override_src, reference=ref) return sim - def _build(self): + def _build(self) -> None: # construct the first node color = self._get_baseclass_color() @@ -201,11 +222,12 @@ def _build(self): # construct the full similarity matrix s_c = PycodeSimilarity(method="permute") _, sim_matrix, sim_axis = s_c.run(self._override_src) - sim_axis = np.array(sim_axis) + assert isinstance(sim_matrix, np.ndarray) + sim_axis_array = np.array(sim_axis) sim_axis_names = np.array([c.child_name for c in self._node_list]) self.similarity_results = { "matrix": sim_matrix, - "axis": sim_axis, + "axis": sim_axis_array, "axis_names": sim_axis_names, } @@ -216,9 +238,9 @@ def _build(self): rowvals = M[irow, :] indxs = np.where(rowvals >= cutoff_sim)[0] indxs = indxs[indxs != irow] # these are matrix indeces - node_ids = sim_axis[indxs] + node_ids = sim_axis_array[indxs] if len(node_ids) > 0: - this_child = sim_axis[irow] + this_child = sim_axis_array[irow] similarity_sets[this_child] = set(node_ids.tolist()) self.similarity_sets = similarity_sets @@ -292,7 +314,7 @@ def plot_similarity( ax: Optional[Axes] = None, colorbar: Optional[bool] = True, **kwargs, - ) -> Tuple[dict, Axes]: + ) -> tuple[dict[int, str], Axes]: """ add the similarity plot to a matplotlib axis (or create a new one) @@ -340,16 +362,16 @@ def plot_similarity( sim_labels = [ self._node_list[cid - 1].child_name for cid in self._override_src.keys() ] - sim_labels = {lid: label for lid, label in enumerate(sim_labels)} - return sim_labels, ax + sim_labels_dict = {lid: label for lid, label in enumerate(sim_labels)} + return sim_labels_dict, ax def build_interactive_graph( self, include_similarity: bool = True, - node_style: dict = None, - edge_style: dict = None, - similarity_edge_style: dict = None, - override_node_color: Union[str, tuple] = None, + node_style: dict[str, Any] | None = None, + edge_style: dict[str, Any] | None = None, + similarity_edge_style: dict[str, Any] | None = None, + override_node_color: str | tuple[float, ...] | None = None, **kwargs, ) -> Network: """ @@ -454,14 +476,14 @@ def build_interactive_graph( network_wrapper.from_nx(grph) return network_wrapper - def get_source_code(self, node: Union[str, int]) -> str: + def get_source_code(self, node: int | str) -> str: """ retrieve the source code of the comparison function for a specified node Parameters ---------- - node: Union[str, int] + node: int the node to fetch the source code for Returns @@ -469,19 +491,26 @@ def get_source_code(self, node: Union[str, int]) -> str: str a string containing the source code for the node. """ - if node in self._override_src: - return self._override_src[node] + node_id: int + + if not isinstance(node, int) and not isinstance(node, str): + raise TypeError("Unexpected type for node") + + if isinstance(node, int) and node in self._node_map: + node_id = node elif isinstance(node, str) and node in self._node_map_r: node_id = self._node_map_r[node] - if node_id in self._override_src: - return self._override_src[node_id] - else: - raise ValueError( - f"node {node} does not override the " f"chosen function." - ) - raise KeyError(f"Could not find node for {node}") + else: + raise ValueError(f"Could not find node for {node}") + + if node_id in self._override_src: + return self._override_src[node_id] + else: + raise ValueError(f"node {node} does not override the chosen function.") - def get_multiple_source_code(self, node_1: Union[str, int], *args) -> dict: + def get_multiple_source_code( + self, node_1: int | str, *args + ) -> dict[int | str, str]: """ Retrieve the source code for multiple nodes @@ -515,11 +544,11 @@ def display_code_comparison(self): display_code_compare(self) -def _validate_color(clr, default_rgb_tuple: tuple) -> str: +def _validate_color(clr, default_rgb_tuple: tuple[float, float, float]) -> str: if clr is None: - return rgb2hex(default_rgb_tuple) + return str(rgb2hex(default_rgb_tuple)) elif isinstance(clr, tuple): - return rgb2hex(clr) + return str(rgb2hex(clr)) elif isinstance(clr, str): return clr msg = f"clr has unexpected type: {type(clr)}" diff --git a/inheritance_explorer/similarity.py b/inheritance_explorer/similarity.py index caa2096..f51ec9a 100644 --- a/inheritance_explorer/similarity.py +++ b/inheritance_explorer/similarity.py @@ -1,20 +1,45 @@ import abc import collections -from typing import Any, Dict, List, Optional, OrderedDict, Tuple +from typing import Any, Optional, OrderedDict import numpy as np +import numpy.typing as npt import pycode_similar class ResultsContainer: - def __init__(self, results_dict: dict): - for ky, val in results_dict.items(): - setattr(self, ky, val) + def __init__( + self, + count: int, + total: int, + similarity_fraction: float, + base_class: int, + this_class: int, + ): + self.count = count + self.total = total + self.similarity_fraction = similarity_fraction + self.base_class = base_class + self.this_class = this_class + + +_sdict_type = OrderedDict[int, str] + +_nested_source_dict = dict[int, OrderedDict[int, ResultsContainer]] + +_sim_results_tuple = tuple[ + _nested_source_dict, + npt.NDArray[Any], + tuple[int, ...], +] + + +_single_result = OrderedDict[int, ResultsContainer] class SimilarityContainer(abc.ABC): - _valid_methods: List[str] = ["permute", "reference"] + _valid_methods: list[str] = ["permute", "reference"] def __init__(self, method: str = "reference"): if method not in self._valid_methods: @@ -24,13 +49,16 @@ def __init__(self, method: str = "reference"): self.method = method self.results = None # for storing results of similarity tests - def run(self, source_dict: OrderedDict[Any, str], reference: Optional[Any] = None): + def run( + self, source_dict: _sdict_type, reference: Optional[Any] = None + ) -> _single_result | _sim_results_tuple: """ source_dict : dict dictionary mapping a node identifier to a source code string """ source_dict_c = source_dict.copy() + results: _single_result | _sim_results_tuple if self.method == "permute": results = self._permute_and_run(source_dict_c) else: @@ -42,22 +70,22 @@ def run(self, source_dict: OrderedDict[Any, str], reference: Optional[Any] = Non return results @abc.abstractmethod - def _permute_and_run( - self, source_dict: OrderedDict[Any, str] - ) -> Tuple[Dict, np.ndarray, tuple]: + def _permute_and_run(self, source_dict: _sdict_type) -> _sim_results_tuple: pass @abc.abstractmethod def _compare_single_set( - self, source_dict: OrderedDict[Any, str], reference: Any - ) -> OrderedDict[Any, ResultsContainer]: + self, source_dict: _sdict_type, reference: Any + ) -> _single_result: pass class PycodeSimilarity(SimilarityContainer): def _compare_single_set( - self, source_dict: OrderedDict[Any, str], reference: Any - ) -> OrderedDict[Any, ResultsContainer]: + self, + source_dict: _sdict_type, + reference: int, + ) -> _single_result: src = source_dict[reference] # extract the reference # this will result in a self-comparison, but that is OK and makes some @@ -67,25 +95,23 @@ def _compare_single_set( ] + [v for v in source_dict.values()] similarity = pycode_similar.detect(src_list) - results = collections.OrderedDict() - for id, sim in zip(source_dict.keys(), similarity): - results[id] = ResultsContainer( - { - "count": sim[1][0].plagiarism_count, - "total": sim[1][0].total_count, - "similarity_fraction": sim[1][0].plagiarism_percent, - "base_class": reference, - "this_class": id, - } + results: _single_result = collections.OrderedDict() + for class_id, sim in zip(source_dict.keys(), similarity): + results[class_id] = ResultsContainer( + count=sim[1][0].plagiarism_count, + total=sim[1][0].total_count, + similarity_fraction=sim[1][0].plagiarism_percent, + base_class=reference, + this_class=class_id, ) return results def _permute_and_run( - self, source_dict: OrderedDict[Any, str] - ) -> Tuple[Dict, np.ndarray, tuple]: + self, source_dict: OrderedDict[int, str] + ) -> _sim_results_tuple: N = len(source_dict) similarity_matrix = np.ones((N, N)) - results_by_ref = {} + results_by_ref: _nested_source_dict = {} sim_axis = tuple([i for i in source_dict.keys()]) for iref, ref in enumerate(source_dict.keys()): results = self._compare_single_set(source_dict.copy(), ref) diff --git a/inheritance_explorer/tests/test_cli.py b/inheritance_explorer/tests/test_cli.py index 6a5c865..84323e7 100644 --- a/inheritance_explorer/tests/test_cli.py +++ b/inheritance_explorer/tests/test_cli.py @@ -38,5 +38,5 @@ def test_map_class_no_format(tmp_path): def test_map_class_bad(): runner = CliRunner() arg_list = ["numpy.float64", "whatever.png", "--funcname", "notafunc"] - result = runner.invoke(map_class, arg_list, catch_exceptions=AttributeError) + result = runner.invoke(map_class, arg_list, catch_exceptions=True) assert isinstance(result.exception, AttributeError) diff --git a/inheritance_explorer/tests/test_inheritance_explorer.py b/inheritance_explorer/tests/test_inheritance_explorer.py index e89f4e5..8e54a5f 100644 --- a/inheritance_explorer/tests/test_inheritance_explorer.py +++ b/inheritance_explorer/tests/test_inheritance_explorer.py @@ -4,7 +4,11 @@ import pytest from inheritance_explorer._testing import ClassForTesting -from inheritance_explorer.inheritance_explorer import ClassGraphTree, _ChildNode +from inheritance_explorer.inheritance_explorer import ( + ClassGraphTree, + _ChildNode, + _validate_color, +) @pytest.fixture() @@ -55,11 +59,16 @@ def test_source_code_return(): with pytest.raises(ValueError, match="does not override the chosen"): _ = cgt.get_source_code("ClassForTesting3") + + with pytest.raises(ValueError, match="does not override the chosen"): _ = cgt.get_source_code(cgt._node_map_r["ClassForTesting3"]) - with pytest.raises(KeyError, match="Could not find node"): + with pytest.raises(ValueError, match="Could not find node"): _ = cgt.get_source_code(10) + with pytest.raises(ValueError, match="Could not find node"): + _ = cgt.get_source_code("does_not_exist") + def test_multi_source_code(): cgt = ClassGraphTree(ClassForTesting, funcname="use_this_func") @@ -73,14 +82,14 @@ def test_multi_source_code(): assert src_key in src_dict src_dict_nodes = [cgt._node_map_r[c] for c in test_classes] - src_dict = cgt.get_multiple_source_code(src_dict_nodes[0], *src_dict_nodes[1:]) - assert len(src_dict) == len(test_classes) + src_dict_2 = cgt.get_multiple_source_code(src_dict_nodes[0], *src_dict_nodes[1:]) + assert len(src_dict_2) == len(test_classes) with pytest.raises(ValueError, match="does not override the chosen"): _ = cgt.get_multiple_source_code("ClassForTesting", "ClassForTesting3") - with pytest.raises(KeyError, match="Could not find node"): - _ = cgt.get_multiple_source_code("ClassForTesting", 10) + with pytest.raises(ValueError, match="Could not find node"): + _ = cgt.get_multiple_source_code(0, 10) @pytest.mark.parametrize( @@ -143,3 +152,67 @@ def test_class_exclusion(): ) for node in cgt._node_list: assert node.child_name != "ClassForTesting2" + + +def test_errors_no_source_override(): + # _get_source_info + cgt = ClassGraphTree(ClassForTesting) + with pytest.raises( + RuntimeError, match="this functionality requires function tracking." + ): + _ = cgt._get_source_info(ClassForTesting) + + with pytest.raises( + RuntimeError, match="this functionality requires function tracking." + ): + cgt._store_node_func_source(ClassForTesting, 0) + + cgt = ClassGraphTree(ClassForTesting, funcname="use_this_func") + # monkey patch the funcname to make the callable fail + cgt.funcname = "misc_attr" + result = cgt._get_source_info(ClassForTesting) + assert result is None + + +def test_missing_source_node(cgt): + with pytest.raises(ValueError, match="Could not find node for not_a_node"): + cgt.get_source_code("not_a_node") + + +def test_class_graph_special_cases(cgt): + + # map out the structure of SimilarityContainer, track the run method + assert cgt._node_list[1].parent_id == "1" + with pytest.raises( + ValueError, match="unexpected value, similarity_container_class" + ): + _ = cgt.check_source_similarity(similarity_container_class="not_a_thing") + + cgt.check_source_similarity(reference=1) + + +def test_set_graphviz_args(cgt): + + cgt.set_graphviz_args_kwargs(1, 2, 3, other_arg="hello", another=True) + + d = cgt._graphviz_args_kwargs + assert all([val in d["args"] for val in (1, 2, 3)]) + assert "other_arg" in d["kwargs"] + assert d["kwargs"]["other_arg"] == "hello" + assert "another" in d["kwargs"] + assert d["kwargs"]["another"] is True + + +@pytest.mark.parametrize( + "input_clr,expected", + [((0.0, 0.0, 0.0), "#000000"), (None, "#ffffff"), ("#000000", "#000000")], +) +def test_validate_color(input_clr, expected): + default_clr = (1.0, 1.0, 1.0) + + assert _validate_color(input_clr, default_rgb_tuple=default_clr) == expected + + +def test_validate_color_invalid(): + with pytest.raises(TypeError, match="clr has unexpected type"): + _validate_color(100, (1.0, 1.0, 1.0)) diff --git a/inheritance_explorer/tests/test_similarity.py b/inheritance_explorer/tests/test_similarity.py index 613feaf..c975e88 100644 --- a/inheritance_explorer/tests/test_similarity.py +++ b/inheritance_explorer/tests/test_similarity.py @@ -6,25 +6,17 @@ from inheritance_explorer.similarity import PycodeSimilarity, ResultsContainer -def test_results_container(): - - results = {"a": 1, "b": "c", "c": 3} - r = ResultsContainer(results) - for key, val in results.items(): - assert getattr(r, key) == val - - @pytest.fixture def sample_source_dict(): test_source = "def test_func(a, b, c):\n" " return a * b * c" test_source2 = "def test_func(a, b, c):\n" " a = a * 10\n" " return a * b * c" test_source3 = "def test_func(a, b, c):\n" " a = a * b\n" " return a * b * c" source_dict = OrderedDict() - source_dict["a"] = test_source - source_dict["b"] = test_source - source_dict["c"] = test_source2 - source_dict["d"] = test_source - source_dict["e"] = test_source3 + source_dict[0] = test_source + source_dict[1] = test_source + source_dict[2] = test_source2 + source_dict[3] = test_source + source_dict[4] = test_source3 N = len(source_dict) s_matrix = np.ones((N, N)) @@ -41,38 +33,39 @@ def sample_source_dict(): return source_dict, s_matrix.astype(bool) -def check_result(results, source_dict, ref, expected_match): - for key, _ in source_dict.items(): - if key != ref: - assert key in results - f = results[key] - if expected_match[key]: - assert f.similarity_fraction == 1.0 - else: - assert f.similarity_fraction < 1.0 - - def test_pycode_similarity_single_ref(sample_source_dict): s_dict, s_matrix = sample_source_dict - ref = "a" + ref = 0 p = PycodeSimilarity() results = p.run(s_dict, reference=ref) s_bool = dict(zip(s_dict.keys(), s_matrix[:, 0])) - check_result(results, s_dict, ref, expected_match=s_bool) + + for key, _ in s_dict.items(): + if key != ref: + assert key in results + f = results[key] + assert isinstance(f, ResultsContainer) + if s_bool[key]: + assert f.similarity_fraction == 1.0 + else: + assert f.similarity_fraction < 1.0 def test_pycode_similarity_permuted(sample_source_dict): s_dict, s_bool = sample_source_dict p = PycodeSimilarity(method="permute") - results, sim_matrix, sim_axis = p.run(s_dict) + _, sim_matrix, sim_axis = p.run(s_dict) + assert isinstance(sim_matrix, np.ndarray) assert sim_matrix.shape == s_bool.shape bool_matrix = sim_matrix.astype(int).astype(bool) assert np.all(bool_matrix == s_bool) + assert isinstance(sim_axis, tuple) + assert len(sim_axis) == len(s_dict) for k in s_dict.keys(): assert k in sim_axis diff --git a/pyproject.toml b/pyproject.toml index 696b1a7..1775e1a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -67,3 +67,15 @@ docs = [ "nbsphinx", ] +[tool.mypy] +files = ["inheritance_explorer",] +python_version = "3.10" +warn_unused_configs = true +strict = true +enable_error_code = ["ignore-without-code", "redundant-expr", "truthy-bool"] +warn_unreachable = true +disallow_untyped_defs = false +disallow_incomplete_defs = false +implicit_optional = true +disable_error_code = ["import-untyped", "import-not-found"] +no_implicit_reexport = false \ No newline at end of file diff --git a/requirements/typecheck.txt b/requirements/typecheck.txt new file mode 100644 index 0000000..7482041 --- /dev/null +++ b/requirements/typecheck.txt @@ -0,0 +1 @@ +mypy \ No newline at end of file