From 2e587fb1457d5c158404f43472e482d49355eb98 Mon Sep 17 00:00:00 2001 From: David Muhr Date: Wed, 18 Sep 2024 15:26:28 +0200 Subject: [PATCH] :arrow_up: Bump safecheck and dev dependencies --- poetry.lock | 2334 +++++++++++++++--------------- pyproject.toml | 22 +- src/nearness/_autofaiss.py | 2 +- src/nearness/_base/_neighbors.py | 12 +- src/nearness/_faiss.py | 8 +- src/nearness/_scipy.py | 4 +- 6 files changed, 1206 insertions(+), 1176 deletions(-) diff --git a/poetry.lock b/poetry.lock index 79bf0ae..44c0d74 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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dist, idx = self._index.search(points, n_neighbors) # type: ignore[reportGeneralTypeIssues] + dist, idx = self._index.search(points, n_neighbors) # type: ignore[reportCallIssue] return idx, dist diff --git a/src/nearness/_base/_neighbors.py b/src/nearness/_base/_neighbors.py index b3df57d..45c832e 100644 --- a/src/nearness/_base/_neighbors.py +++ b/src/nearness/_base/_neighbors.py @@ -46,8 +46,8 @@ def __new__(cls, name: str, bases: tuple[type, ...], attrs: dict[str, Any]) -> t """Check the signature of ``__init__`` to ensure keyword-only arguments.""" if "__init__" in attrs: parameters = inspect.signature(attrs["__init__"]).parameters - for name, parameter in parameters.items(): - if name != "self" and (kind := parameter.kind) is not inspect.Parameter.KEYWORD_ONLY: + for param_name, parameter in parameters.items(): + if param_name != "self" and (kind := parameter.kind) is not inspect.Parameter.KEYWORD_ONLY: msg = ( "Only keyword-only arguments are allowed for classes inheriting from 'nearness." f"NearestNeighbors', but found parameter '{parameter}' of kind '{kind}'." @@ -89,9 +89,9 @@ def __call__(cls, *_: Any, **kwargs: Any) -> "NearestNeighbors": # now we set all the relevant attributes on the ``instance``, as they should not be class-bound. # order is important here as ``_wrap_fit_method`` and ``_wrap_check_method`` depend on the set attributes obj = type.__call__(cls, **kwargs) - obj._parameters_, obj._config_ = cls._parameters_, cls._config_ # noqa: SLF001 + obj._parameters_, obj._config_ = cls._parameters_, cls._config_ # make sure that the wrapped methods are in sync when the config is changed after class instantiation - obj._config_.register_callback( # noqa: SLF001 + obj._config_.register_callback( "methods_require_fit", partial(cls._check_callback, obj=obj), ) @@ -144,7 +144,7 @@ def _wrap_check_method(cls, obj: "NearestNeighbors") -> None: """ logger.debug("Starting to wrap methods to enable fit checking.") available_attributes = dir(obj) - methods_to_wrap = obj._config_.methods_require_fit # noqa: SLF001 + methods_to_wrap = obj._config_.methods_require_fit for attribute_name in available_attributes: attribute = getattr(obj, attribute_name) has_check = hasattr(attribute, "__check__") @@ -186,7 +186,7 @@ def _unwrap_check_method(cls, obj: "NearestNeighbors") -> None: is set in ``fit``, but unsafe when ``__fitted__`` is manually set to ``False`` after ``fit``. """ logger.debug("Starting to unwrap all fit checking methods.") - for method_name in obj._config_.methods_require_fit: # noqa: SLF001 + for method_name in obj._config_.methods_require_fit: # we set an __requires_fit__ attribute on the wrapper, because using ``__wrapped__`` alone is not # safe (methods also use ``__wrapped__`` starting with Python 3.10) if hasattr(obj, method_name) and hasattr(method := getattr(obj, method_name), "__check__"): diff --git a/src/nearness/_faiss.py b/src/nearness/_faiss.py index afffbee..eb8b211 100644 --- a/src/nearness/_faiss.py +++ b/src/nearness/_faiss.py @@ -50,17 +50,17 @@ def __init__( def fit(self, data: Float[NumpyArray, "n d"]) -> "FaissNeighbors": _, dim = data.shape self._index = self._create_index(dim) - self._index.train(data) # type: ignore[reportGeneralTypeIssues] + self._index.train(data) # type: ignore[reportCallIssue] if self.parameters.add_data_on_fit: # data might be added directly on fit, or using the ``add`` method - self._index.add(data) # type: ignore[reportGeneralTypeIssues] + self._index.add(data) # type: ignore[reportCallIssue] return self @typecheck def add(self, data: Float[NumpyArray, "n d"]) -> "FaissNeighbors": - self._index.add(data) # type: ignore[reportGeneralTypeIssues] + self._index.add(data) # type: ignore[reportCallIssue] return self def query( @@ -76,7 +76,7 @@ def query_batch( points: Float[NumpyArray, "m d"], n_neighbors: int, ) -> tuple[Int64[NumpyArray, "m {n_neighbors}"], Float32[NumpyArray, "m {n_neighbors}"]]: - dist, idx = self._index.search(points, n_neighbors) # type: ignore[reportGeneralTypeIssues] + dist, idx = self._index.search(points, n_neighbors) # type: ignore[reportCallIssue] return idx, dist def _create_index(self, dim: int) -> faiss.Index: diff --git a/src/nearness/_scipy.py b/src/nearness/_scipy.py index ba0dbd3..fdd6719 100644 --- a/src/nearness/_scipy.py +++ b/src/nearness/_scipy.py @@ -74,9 +74,9 @@ def query_batch( points: Float[NumpyArray, "m d"], n_neighbors: int, ) -> tuple[Int64[NumpyArray, "m {n_neighbors}"], Float[NumpyArray, "m {n_neighbors}"]]: - distance = cdist( + distance = cdist( # type: ignore[reportCallIssue] points, - self._data, # type: ignore[reportGeneralTypeIssues] + self._data, # type: ignore[reportArgumentType] metric=self.parameters.metric, **self.parameters.metric_args, )