From e97e28e3e944d5d31f44cad5cf925ce9b31dfb0e Mon Sep 17 00:00:00 2001
From: Daniel Obraczka <obraczka@informatik.uni-leipzig.de>
Date: Tue, 2 Jan 2024 13:20:52 +0100
Subject: [PATCH] Switch to ruff, include new rules and adapt code (#34)

* Switch to ruff and adapt

* More linting rules and adaptations

* Even more linting and adjustements

* Remove unnecessary test
---
 .pre-commit-config.yaml                       |   29 +-
 docs/conf.py                                  |    5 +-
 docs/source/installation.rst                  |    5 +-
 kiez/analysis/__init__.py                     |    1 -
 kiez/analysis/estimation.py                   |   46 +-
 kiez/evaluate/eval_metrics.py                 |    6 +-
 kiez/hubness_reduction/base.py                |    6 +-
 kiez/hubness_reduction/csls.py                |    7 +-
 kiez/hubness_reduction/dis_sim.py             |   28 +-
 kiez/hubness_reduction/local_scaling.py       |   12 +-
 kiez/hubness_reduction/mutual_proximity.py    |   14 +-
 kiez/io/data_loading.py                       |   11 +-
 kiez/io/temp_file_handling.py                 |    6 +-
 kiez/kiez.py                                  |   16 +-
 kiez/neighbors/approximate/faiss.py           |    8 +-
 kiez/neighbors/approximate/nmslib.py          |   20 +-
 kiez/neighbors/approximate/nng.py             |   38 +-
 .../approximate/random_projection_trees.py    |   14 +-
 kiez/neighbors/neighbor_algorithm_base.py     |   10 +-
 kiez/neighbors/util.py                        |    5 +-
 noxfile.py                                    |   61 +-
 poetry.lock                                   | 1258 +++++++----------
 pyproject.toml                                |   79 +-
 tests/analysis/test_estimation.py             |   21 +-
 tests/evaluate/test_eval_metrics.py           |    2 +-
 tests/hubness_reduction/test_wrong_inputs.py  |    8 +-
 tests/io/test_data_loading.py                 |    6 +-
 tests/neighbors/test_annoy.py                 |   17 +-
 tests/neighbors/test_base.py                  |   17 +-
 tests/neighbors/test_faiss.py                 |    6 +-
 tests/neighbors/test_hnsw.py                  |    8 +-
 tests/neighbors/test_nng.py                   |   14 +-
 tests/test_kiez.py                            |   30 +-
 33 files changed, 750 insertions(+), 1064 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index ec8eb47..c236b01 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,9 +1,24 @@
 repos:
-  - repo: local
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.5.0
     hooks:
-      - id: nox
-        name: Nox
-        entry: nox -rs lint --
-        language: system
-        types: [python]
-        require_serial: true
+      - id: check-added-large-files
+      - id: check-case-conflict
+      - id: check-merge-conflict
+      - id: check-symlinks
+      - id: check-yaml
+      - id: debug-statements
+      - id: end-of-file-fixer
+      - id: mixed-line-ending
+      - id: requirements-txt-fixer
+      - id: trailing-whitespace
+  - repo: https://github.com/tox-dev/pyproject-fmt
+    rev: "1.3.0"
+    hooks:
+      - id: pyproject-fmt
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.1.3
+    hooks:
+      - id: ruff
+        args: ["--fix", "--show-fixes"]
+      - id: ruff-format
diff --git a/docs/conf.py b/docs/conf.py
index 8aa0628..b9badef 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -13,9 +13,10 @@
 import os
 import sys
 
-from kiez import __version__
 from sphinx.ext.autodoc import between
 
+from kiez import __version__
+
 sys.path.insert(0, os.path.abspath("."))
 
 
@@ -30,7 +31,7 @@ def setup(app):
 # -- Project information -----------------------------------------------------
 
 project = "kiez"
-copyright = "2021, Daniel Obraczka"
+copyright = "2021, Daniel Obraczka"  # noqa: A001
 author = "Daniel Obraczka"
 
 # The full version, including alpha/beta/rc tags
diff --git a/docs/source/installation.rst b/docs/source/installation.rst
index d90f35e..5e24f51 100644
--- a/docs/source/installation.rst
+++ b/docs/source/installation.rst
@@ -31,11 +31,10 @@ You can also get other specific libraries with e.g.:
 Other options to get specific libraries are ``nmslib``,``annoy``, ``ngt``. However faiss is the recommended library, which provides the most accurate and fastest results.
 
 
-To build kiez from source use `poetry <https://python-poetry.org/>`_ 
+To build kiez from source use `poetry <https://python-poetry.org/>`_
 
 .. code-block:: bash
 
-   git clone git@github.com:dobraczka/kiez.git 
+   git clone git@github.com:dobraczka/kiez.git
    cd kiez
    poetry install
-
diff --git a/kiez/analysis/__init__.py b/kiez/analysis/__init__.py
index 03127fd..bd4cff1 100644
--- a/kiez/analysis/__init__.py
+++ b/kiez/analysis/__init__.py
@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 # SPDX-License-Identifier: BSD-3-Clause
 
 from .estimation import hubness_score
diff --git a/kiez/analysis/estimation.py b/kiez/analysis/estimation.py
index 22f92d9..3433161 100644
--- a/kiez/analysis/estimation.py
+++ b/kiez/analysis/estimation.py
@@ -1,17 +1,14 @@
 #!/usr/bin/env python3
-# -*- coding: utf-8 -*-
 # SPDX-License-Identifier: BSD-3-Clause
 # adapted from skhubness: https://github.com/VarIr/scikit-hubness/
-"""
-Estimate hubness in datasets
-"""
+"""Estimate hubness in datasets."""
 
 
 from __future__ import annotations
 
 import logging
 import warnings
-from typing import Optional, Tuple, Union
+from typing import Optional, Union
 
 import numpy as np
 from scipy import stats
@@ -34,6 +31,8 @@
     "k_occurrence",
 ]
 
+_SPACE_LIMIT = 10000
+
 
 def _calc_skewness_truncnorm(k_occurrence: np.ndarray) -> float:
     """Hubness measure; corrected for non-negativity of k-occurrence.
@@ -56,8 +55,7 @@ def _calc_skewness_truncnorm(k_occurrence: np.ndarray) -> float:
     k_occurrence_std = k_occurrence.std(ddof=1)
     a = (clip_left - k_occurrence_mean) / k_occurrence_std
     b = (clip_right - k_occurrence_mean) / k_occurrence_std
-    skew_truncnorm = stats.truncnorm(a, b).moment(3)
-    return skew_truncnorm
+    return stats.truncnorm(a, b).moment(3)
 
 
 def _calc_gini_index(
@@ -151,7 +149,7 @@ def _calc_atkinson_index(k_occurrence: np.ndarray, eps: float = 0.5) -> float:
     return float(1.0 - 1.0 / k_occurrence.mean() * term)
 
 
-def _calc_antihub_occurrence(k_occurrence: np.ndarray) -> Tuple[np.ndarray, float]:
+def _calc_antihub_occurrence(k_occurrence: np.ndarray) -> tuple[np.ndarray, float]:
     """Proportion of antihubs in data set.
 
     Antihubs are objects that are never among the nearest neighbors
@@ -173,7 +171,7 @@ def _calc_antihub_occurrence(k_occurrence: np.ndarray) -> Tuple[np.ndarray, floa
 
 def _calc_hub_occurrence(
     k: int, k_occurrence: np.ndarray, n_test: int, hub_size: float = 2
-) -> Tuple[np.ndarray, float]:
+) -> tuple[np.ndarray, float]:
     """Proportion of nearest neighbor slots occupied by hubs.
 
     Parameters
@@ -202,8 +200,6 @@ def hubness_score(
     *,
     k: Optional[int] = None,
     hub_size: float = 2.0,
-    shuffle_equal: bool = True,
-    random_state=None,
     verbose: int = 0,
     return_value: str = "all_but_gini",
     store_k_occurrence: bool = False,
@@ -222,16 +218,6 @@ def hubness_score(
         number of k for k-nearest neighbor
     hub_size : float
         Hubs are defined as objects with k-occurrence > hub_size * k.
-    shuffle_equal : bool
-        If true shuffle neighbors with identical distances
-        to avoid artifact hubness.
-        NOTE: This is especially useful for secondary distance measures
-        with a finite number of possible values
-    random_state: int, RandomState instance or None, optional
-        If int, random_state is the seed used by the random number generator;
-        If RandomState instance, random_state is the random number generator;
-        If None, the random number generator is the RandomState instance used
-        by `np.random`.
     verbose : int
         Level of output messages
     return_value : str
@@ -288,12 +274,11 @@ def hubness_score(
     k_neighbors = nn_ind.copy()
     if k is None:
         k = nn_ind.shape[1]
-    else:
-        if k < k_neighbors.shape[1]:
-            k_neighbors = k_neighbors[:, :k]
-        elif k > k_neighbors.shape[1]:
-            k = nn_ind.shape[1]
-            warnings.warn(f"k > nn_ind.shape[1], k will be set to {k}")
+    elif k < k_neighbors.shape[1]:
+        k_neighbors = k_neighbors[:, :k]
+    elif k > k_neighbors.shape[1]:
+        k = nn_ind.shape[1]
+        warnings.warn(f"k > nn_ind.shape[1], k will be set to {k}", stacklevel=2)
     assert k is not None
 
     # Negative indices can occur, when ANN does not find enough neighbors,
@@ -317,7 +302,7 @@ def hubness_score(
 
     # Gini index
     if return_value in ["gini", "all"]:
-        limiting = "space" if k_occurrence.shape[0] > 10_000 else "time"
+        limiting = "space" if k_occurrence.shape[0] > _SPACE_LIMIT else "time"
         gini_index = _calc_gini_index(k_occurrence, limiting, verbose=verbose)
     else:
         gini_index = np.nan
@@ -360,8 +345,7 @@ def hubness_score(
         hubness_measures["k_occurrence"] = k_occurrence
     if return_value == "all":
         return hubness_measures
-    elif return_value == "all_but_gini":
+    if return_value == "all_but_gini":
         del hubness_measures["gini"]
         return hubness_measures
-    else:
-        return hubness_measures[return_value]
+    return hubness_measures[return_value]
diff --git a/kiez/evaluate/eval_metrics.py b/kiez/evaluate/eval_metrics.py
index 7b52042..cbb7499 100644
--- a/kiez/evaluate/eval_metrics.py
+++ b/kiez/evaluate/eval_metrics.py
@@ -1,6 +1,4 @@
-"""
-Calculate evaluation metrics such as hits@k
-"""
+"""Calculate evaluation metrics such as hits@k."""
 from typing import Any, Dict, List, Union
 
 import numpy as np
@@ -27,7 +25,7 @@ def hits(
     gold: Dict[Any, Any],  # source -> target
     k=None,
 ) -> Dict[int, float]:
-    """Show hits@k
+    """Show hits@k.
 
     Parameters
     ----------
diff --git a/kiez/hubness_reduction/base.py b/kiez/hubness_reduction/base.py
index 9040384..1447455 100644
--- a/kiez/hubness_reduction/base.py
+++ b/kiez/hubness_reduction/base.py
@@ -46,13 +46,15 @@ def transform(self, neigh_dist, neigh_ind, query) -> Tuple[np.ndarray, np.ndarra
     def _set_k_if_needed(self, k: Optional[int] = None) -> int:
         if k is None:
             warnings.warn(
-                f"No k supplied, setting to n_candidates = {self.nn_algo.n_candidates}"
+                f"No k supplied, setting to n_candidates = {self.nn_algo.n_candidates}",
+                stacklevel=2,
             )
             return self.nn_algo.n_candidates
         if k > self.nn_algo.n_candidates:
             warnings.warn(
                 "k > n_candidates supplied! Setting to n_candidates ="
-                f" {self.nn_algo.n_candidates}"
+                f" {self.nn_algo.n_candidates}",
+                stacklevel=2,
             )
             return self.nn_algo.n_candidates
         return k
diff --git a/kiez/hubness_reduction/csls.py b/kiez/hubness_reduction/csls.py
index c252f77..191d1ec 100644
--- a/kiez/hubness_reduction/csls.py
+++ b/kiez/hubness_reduction/csls.py
@@ -1,10 +1,7 @@
 from __future__ import annotations
 
-import warnings
-from typing import Tuple
-
 import numpy as np
-from sklearn.utils.validation import check_consistent_length, check_is_fitted
+from sklearn.utils.validation import check_is_fitted
 from tqdm.auto import tqdm
 
 from .base import HubnessReduction
@@ -62,7 +59,7 @@ def transform(
         neigh_dist,
         neigh_ind,
         query,
-    ) -> Tuple[np.ndarray, np.ndarray]:
+    ) -> tuple[np.ndarray, np.ndarray]:
         """Transform distance between test and training data with CSLS.
 
         Parameters
diff --git a/kiez/hubness_reduction/dis_sim.py b/kiez/hubness_reduction/dis_sim.py
index 49849ba..1c1cc11 100644
--- a/kiez/hubness_reduction/dis_sim.py
+++ b/kiez/hubness_reduction/dis_sim.py
@@ -1,19 +1,18 @@
-# -*- coding: utf-8 -*-
 # SPDX-License-Identifier: BSD-3-Clause
 # adapted from skhubness: https://github.com/VarIr/scikit-hubness/
 
 from __future__ import annotations
 
-import warnings
-from typing import Tuple
-
 import numpy as np
 from sklearn.metrics import euclidean_distances
 from sklearn.utils.extmath import row_norms
-from sklearn.utils.validation import check_consistent_length, check_is_fitted
+from sklearn.utils.validation import check_is_fitted
 
 from .base import HubnessReduction
 
+_DESIRED_P_VALUE = 2
+_MINIMUM_DIST = 0.0
+
 
 class DisSimLocal(HubnessReduction):
     """Hubness reduction with DisSimLocal.
@@ -31,7 +30,7 @@ class DisSimLocal(HubnessReduction):
     ----------
     .. [1] Hara K, Suzuki I, Kobayashi K, Fukumizu K, Radovanović M (2016)
            Flattening the density gradient for eliminating spatial centrality to reduce hubness.
-           In: Proceedings of the 30th AAAI conference on artificial intelligence, pp 1659–1665.
+           In: Proceedings of the 30th AAAI conference on artificial intelligence, pp 1659-1665.
            https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/viewPaper/12055
     """
 
@@ -40,13 +39,12 @@ def __init__(self, squared: bool = True, **kwargs):
         self.squared = squared
         if self.nn_algo.metric in ["euclidean", "minkowski"]:
             self.squared = False
-            if hasattr(self.nn_algo, "p"):
-                if self.nn_algo.p != 2:
-                    raise ValueError(
-                        "DisSimLocal only supports squared Euclidean distances. If"
-                        " the provided NNAlgorithm has a `p` parameter it must be"
-                        f" set to p=2. Now it is p={self.nn_algo.p}"
-                    )
+            if hasattr(self.nn_algo, "p") and self.nn_algo.p != _DESIRED_P_VALUE:
+                raise ValueError(
+                    "DisSimLocal only supports squared Euclidean distances. If"
+                    " the provided NNAlgorithm has a `p` parameter it must be"
+                    f" set to p=2. Now it is p={self.nn_algo.p}"
+                )
         elif self.nn_algo.metric in ["sqeuclidean"]:
             self.squared = True
         else:
@@ -102,7 +100,7 @@ def transform(
         neigh_dist: np.ndarray,
         neigh_ind: np.ndarray,
         query: np.ndarray,
-    ) -> Tuple[np.ndarray, np.ndarray]:
+    ) -> tuple[np.ndarray, np.ndarray]:
         """Transform distance between test and training data with DisSimLocal.
 
         Parameters
@@ -156,7 +154,7 @@ def transform(
         # certain scikit-learn routines (e.g. in metric='precomputed' usages).
         # We, therefore, shift dissimilarities to non-negative values, if necessary.
         min_dist = hub_reduced_dist.min()
-        if min_dist < 0.0:
+        if min_dist < _MINIMUM_DIST:
             hub_reduced_dist += -min_dist
 
         # Return Euclidean or squared Euclidean distances?
diff --git a/kiez/hubness_reduction/local_scaling.py b/kiez/hubness_reduction/local_scaling.py
index 03fb7b2..0cadcad 100644
--- a/kiez/hubness_reduction/local_scaling.py
+++ b/kiez/hubness_reduction/local_scaling.py
@@ -1,14 +1,10 @@
-# -*- coding: utf-8 -*-
 # SPDX-License-Identifier: BSD-3-Clause
 # adapted from skhubness: https://github.com/VarIr/scikit-hubness/
 
 from __future__ import annotations
 
-import warnings
-from typing import Tuple
-
 import numpy as np
-from sklearn.utils.validation import check_consistent_length, check_is_fitted
+from sklearn.utils.validation import check_is_fitted
 from tqdm.auto import tqdm
 
 from .base import HubnessReduction
@@ -34,7 +30,7 @@ class LocalScaling(HubnessReduction):
     ----------
     .. [1] Schnitzer, D., Flexer, A., Schedl, M., & Widmer, G. (2012).
            Local and global scaling reduce hubs in space. The Journal of Machine
-           Learning Research, 13(1), 2871–2902.
+           Learning Research, 13(1), 2871-2902.
     """
 
     def __init__(self, method: str = "standard", **kwargs):
@@ -86,7 +82,7 @@ def transform(
         neigh_dist,
         neigh_ind,
         query=None,
-    ) -> Tuple[np.ndarray, np.ndarray]:
+    ) -> tuple[np.ndarray, np.ndarray]:
         """Transform distance between test and training data with Mutual Proximity.
 
         Parameters
@@ -146,7 +142,7 @@ def transform(
             r_s_to_t = r_dist_s_to_t.mean(axis=1)
             for i in range_n_test:
                 hub_reduced_dist[i, :] = neigh_dist[i] / np.sqrt(
-                    (r_s_to_t[i] * r_t_to_s[neigh_ind[i]])
+                    r_s_to_t[i] * r_t_to_s[neigh_ind[i]]
                 )
 
         # Return the hubness reduced distances
diff --git a/kiez/hubness_reduction/mutual_proximity.py b/kiez/hubness_reduction/mutual_proximity.py
index 358b474..98cbf4e 100644
--- a/kiez/hubness_reduction/mutual_proximity.py
+++ b/kiez/hubness_reduction/mutual_proximity.py
@@ -1,18 +1,11 @@
-# -*- coding: utf-8 -*-
 # SPDX-License-Identifier: BSD-3-Clause
 # adapted from skhubness: https://github.com/VarIr/scikit-hubness/
 
 from __future__ import annotations
 
-import warnings
-
 import numpy as np
 from scipy import stats
-from sklearn.utils.validation import (
-    check_array,
-    check_consistent_length,
-    check_is_fitted,
-)
+from sklearn.utils.validation import check_is_fitted
 from tqdm.auto import tqdm
 
 from .base import HubnessReduction
@@ -36,7 +29,7 @@ class MutualProximity(HubnessReduction):
     ----------
     .. [1] Schnitzer, D., Flexer, A., Schedl, M., & Widmer, G. (2012).
            Local and global scaling reduce hubs in space. The Journal of Machine
-           Learning Research, 13(1), 2871–2902.
+           Learning Research, 13(1), 2871-2902.
     """
 
     def __init__(self, method: str = "normal", **kwargs):
@@ -46,7 +39,8 @@ def __init__(self, method: str = "normal", **kwargs):
                 f'Mutual proximity method "{method}" not recognized. Try "normal"'
                 ' or "empiric".'
             )
-        elif method in ["exact", "empiric"]:
+
+        if method in ["exact", "empiric"]:
             self.method = "empiric"
         elif method in ["normal", "gaussi"]:
             self.method = "normal"
diff --git a/kiez/io/data_loading.py b/kiez/io/data_loading.py
index 98a8b65..b3ddff7 100644
--- a/kiez/io/data_loading.py
+++ b/kiez/io/data_loading.py
@@ -1,6 +1,4 @@
-"""
-Convenience methods for loading entity embeddings from knowledge graph embeddings
-"""
+"""Convenience methods for loading entity embeddings from knowledge graph embeddings."""
 import os
 from typing import Dict, Tuple
 
@@ -48,7 +46,8 @@ def _seperate_common_embedding(
     kg2_ids: Dict[int, str],
     ent_links: Dict[str, str],
 ) -> Tuple[np.ndarray, np.ndarray, Dict[int, str], Dict[int, str], Dict[str, str]]:
-    """Seperate single embedding array into two arrays split by knowledge graph
+    """Seperate single embedding array into two arrays split by knowledge graph.
+
     Parameters
     ----------
     emb: np.ndarray
@@ -76,7 +75,8 @@ def _seperate_common_embedding(
 def from_openea(
     emb_dir_path: str, kg_path: str
 ) -> Tuple[np.ndarray, np.ndarray, Dict[int, str], Dict[int, str], Dict[str, str]]:
-    """Load OpenEA-type data
+    """Load OpenEA-type data.
+
     Parameters
     ----------
     emb_dir_path: str
@@ -90,6 +90,7 @@ def from_openea(
         embeddings of both knowledge graphs
         entity ids per embedding row for both knowledge graphs
         entity links
+
     Notes
     -----
     See here for more information on the dataset structure
diff --git a/kiez/io/temp_file_handling.py b/kiez/io/temp_file_handling.py
index 83829d3..abe206b 100644
--- a/kiez/io/temp_file_handling.py
+++ b/kiez/io/temp_file_handling.py
@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 # SPDX-License-Identifier: BSD-3-Clause
 # Author: Roman Feldbauer
 
@@ -16,6 +15,7 @@ def create_tempfile_preferably_in_dir(
     persistent: Optional[bool] = False,
 ):
     """Create a temporary file with precedence for directory if possible, in TMP otherwise.
+
     For example, this is useful to try to save into /dev/shm.
 
     Parameters
@@ -36,10 +36,10 @@ def create_tempfile_preferably_in_dir(
     """
     temp_file = mkstemp if persistent else NamedTemporaryFile
     try:
-        handle = temp_file(suffix=suffix, prefix=prefix, dir=directory)  # type: ignore
+        handle = temp_file(suffix=suffix, prefix=prefix, dir=directory)  # type: ignore[operator]
         warn = False
     except FileNotFoundError:
-        handle = temp_file(suffix=suffix, prefix=prefix, dir=None)  # type: ignore
+        handle = temp_file(suffix=suffix, prefix=prefix, dir=None)  # type: ignore[operator]
         warn = True
 
     # Extract the path (as string)
diff --git a/kiez/kiez.py b/kiez/kiez.py
index 9e23f2d..8d39b6b 100644
--- a/kiez/kiez.py
+++ b/kiez/kiez.py
@@ -1,15 +1,14 @@
 from __future__ import annotations
 
 import json
-import warnings
 from pathlib import Path
-from typing import Any, Dict, Optional, Tuple, Union
+from typing import Any, Optional, Union
 
 import numpy as np
 from class_resolver import HintOrType
 
 from kiez.hubness_reduction import hubness_reduction_resolver
-from kiez.hubness_reduction.base import HubnessReduction, NoHubnessReduction
+from kiez.hubness_reduction.base import HubnessReduction
 from kiez.neighbors import NNAlgorithm, nn_algorithm_resolver
 
 
@@ -80,16 +79,17 @@ def __init__(
         self,
         n_candidates: int = 10,
         algorithm: HintOrType[NNAlgorithm] = None,
-        algorithm_kwargs: Optional[Dict[str, Any]] = None,
+        algorithm_kwargs: Optional[dict[str, Any]] = None,
         hubness: HintOrType[HubnessReduction] = None,
-        hubness_kwargs: Optional[Dict[str, Any]] = None,
+        hubness_kwargs: Optional[dict[str, Any]] = None,
     ):
         if not np.issubdtype(type(n_candidates), np.integer):
             raise TypeError(
                 f"n_neighbors does not take {type(n_candidates)} value, enter"
                 " integer value"
             )
-        elif n_candidates <= 0:
+
+        if n_candidates <= 0:
             raise ValueError(f"Expected n_candidates > 0. Got {n_candidates}")
         if algorithm_kwargs is None:
             algorithm_kwargs = {"n_candidates": n_candidates}
@@ -104,7 +104,7 @@ def __init__(
             algorithm = nn_algorithm_resolver.make(algorithm, algorithm_kwargs)
         assert algorithm
         if hubness_kwargs is None:
-            hubness_kwargs = dict()
+            hubness_kwargs = {}
         hubness_kwargs["nn_algo"] = algorithm
         self.hubness = hubness_reduction_resolver.make(hubness, hubness_kwargs)
 
@@ -151,7 +151,7 @@ def kneighbors(
         self,
         k: Optional[int] = None,
         return_distance=True,
-    ) -> Union[np.ndarray, Tuple[np.ndarray, np.ndarray]]:
+    ) -> Union[np.ndarray, tuple[np.ndarray, np.ndarray]]:
         """Retrieve the k-nearest neighbors using the supplied nearest neighbor algorithm and hubness reduction method.
 
         Parameters
diff --git a/kiez/neighbors/approximate/faiss.py b/kiez/neighbors/approximate/faiss.py
index 72d0be9..1775cc8 100644
--- a/kiez/neighbors/approximate/faiss.py
+++ b/kiez/neighbors/approximate/faiss.py
@@ -1,5 +1,4 @@
 import logging
-import warnings
 from typing import Optional
 
 import numpy as np
@@ -55,8 +54,8 @@ class Faiss(NNAlgorithm):
     For details about configuring faiss consult their wiki: https://github.com/facebookresearch/faiss/wiki
     """
 
-    valid_metrics = ["l2", "euclidean"]
-    valid_spaces = ["l2"]
+    valid_metrics = ("l2", "euclidean")
+    valid_spaces = "l2"
 
     def __init__(
         self,
@@ -118,5 +117,4 @@ def _kneighbors(self, k, query, index, return_distance, is_self_querying):
             if self.metric == "euclidean":
                 dist = np.sqrt(dist)
             return dist, ind
-        else:
-            return ind
+        return ind
diff --git a/kiez/neighbors/approximate/nmslib.py b/kiez/neighbors/approximate/nmslib.py
index 4386873..e84dfa4 100644
--- a/kiez/neighbors/approximate/nmslib.py
+++ b/kiez/neighbors/approximate/nmslib.py
@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 # SPDX-License-Identifier: BSD-3-Clause
 # Author: Roman Feldbauer (version for scikit-hubness)
 #         Daniel Obraczka (adaptation for kiez)
@@ -15,10 +14,11 @@
 except ImportError:  # pragma: no cover
     nmslib = None
 
+_VERBOSE_THRESH = 2
+
 
 class NMSLIB(NNAlgorithm):
-    """
-    Wrapper for hierarchical navigable small world graphs based approximate nearest neighbor search implementation from NMSLIB
+    """Wrapper for hierarchical navigable small world graphs based approximate nearest neighbor search implementation from NMSLIB.
 
     Parameters
     ----------
@@ -46,7 +46,7 @@ class NMSLIB(NNAlgorithm):
     See the nmslib documentation for more details: https://github.com/nmslib/nmslib/blob/master/manual/methods.md
     """
 
-    valid_metrics = [
+    valid_metrics = (
         "euclidean",
         "l2",
         "minkowski",
@@ -54,20 +54,19 @@ class NMSLIB(NNAlgorithm):
         "sqeuclidean",
         "cosine",
         "cosinesimil",
-    ]
+    )
 
     def __init__(
         self,
         n_candidates: int = 5,
         metric: str = "euclidean",
         method: str = "hnsw",
-        M: int = 16,  # noqa: N803
+        M: int = 16,
         post_processing: int = 2,
         ef_construction: int = 200,
         n_jobs: int = 1,
         verbose: int = 0,
     ):
-
         self.space = None
         if nmslib is None:  # pragma: no cover
             raise ImportError(
@@ -100,7 +99,7 @@ def __init__(
         super().__init__(n_candidates=n_candidates, metric=metric, n_jobs=n_jobs)
         self.verbose = verbose
         self.method = method
-        self.M = M  # noqa: N803
+        self.M = M
         self.post_processing = post_processing
         self.ef_construction = ef_construction
 
@@ -131,7 +130,7 @@ def _fit(self, data, is_source: bool):
                 "post": post_processing,
                 "indexThreadQty": self.n_jobs,
             },
-            print_progress=(self.verbose >= 2),
+            print_progress=(self.verbose >= _VERBOSE_THRESH),
         )
         return hnsw_index
 
@@ -161,5 +160,4 @@ def _kneighbors(self, k, query, index, return_distance, is_self_querying):
 
         if return_distance:
             return neigh_dist, neigh_ind
-        else:
-            return neigh_ind
+        return neigh_ind
diff --git a/kiez/neighbors/approximate/nng.py b/kiez/neighbors/approximate/nng.py
index 2491cc9..40bf840 100644
--- a/kiez/neighbors/approximate/nng.py
+++ b/kiez/neighbors/approximate/nng.py
@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 # SPDX-License-Identifier: BSD-3-Clause
 # Author: Roman Feldbauer (adaptions for scikit-hubness)
 #         Daniel Obraczka (adaptions for kiez)
@@ -7,6 +6,7 @@
 from __future__ import annotations
 
 import logging
+from types import MappingProxyType
 
 import numpy as np
 from tqdm.auto import tqdm
@@ -15,7 +15,7 @@
 from kiez.neighbors.neighbor_algorithm_base import NNAlgorithmWithJoblib
 
 try:
-    import ngtpy  # noqa: autoimport
+    import ngtpy
 
 except ImportError:  # pragma: no cover
     ngtpy = None
@@ -27,8 +27,7 @@
 
 
 class NNG(NNAlgorithmWithJoblib):
-    """
-    Wrapper for NGT's graph based approximate nearest neighbor search
+    """Wrapper for NGT's graph based approximate nearest neighbor search.
 
     Parameters
     ----------
@@ -64,7 +63,7 @@ class NNG(NNAlgorithmWithJoblib):
     when required.
     """
 
-    valid_metrics = [
+    valid_metrics = (
         "manhattan",
         "L1",
         "euclidean",
@@ -77,13 +76,15 @@ class NNG(NNAlgorithmWithJoblib):
         "Normalized Cosine",
         "Hamming",
         "Jaccard",
-    ]
-    _internal_distance_type = {
-        "manhattan": "L1",
-        "euclidean": "L2",
-        "minkowski": "L2",
-        "sqeuclidean": "L2",
-    }
+    )
+    _internal_distance_type = MappingProxyType(
+        {
+            "manhattan": "L1",
+            "euclidean": "L2",
+            "minkowski": "L2",
+            "sqeuclidean": "L2",
+        }
+    )
 
     def __init__(
         self,
@@ -96,7 +97,6 @@ def __init__(
         n_jobs: int = 1,
         verbose: int = 0,
     ):
-
         if ngtpy is None:  # pragma: no cover
             raise ImportError(
                 "Please install the `ngt` package, before using this class.\n"
@@ -150,10 +150,7 @@ def _index_dir_plausibility_check(self):
             )
 
     def _fit(self, data, is_source: bool):
-        if is_source:
-            prefix = "kiez_source"
-        else:
-            prefix = "kiez_target"
+        prefix = "kiez_source" if is_source else "kiez_target"
 
         index_path = None
         # Set up a directory to save the index to
@@ -232,7 +229,7 @@ def _kneighbors_part(self, k, query, index, return_distance, is_self_querying):
                     epsilon=self.epsilon,
                 )
                 if return_distance:
-                    ind, dist = [np.array(arr) for arr in zip(*response)]
+                    ind, dist = (np.array(arr) for arr in zip(*response))
                 else:
                     ind = response
                 ind = ind[start:]
@@ -253,7 +250,7 @@ def _kneighbors_part(self, k, query, index, return_distance, is_self_querying):
                     epsilon=self.epsilon,
                 )
                 if return_distance:
-                    ind, dist = [np.array(arr) for arr in zip(*response)]
+                    ind, dist = (np.array(arr) for arr in zip(*response))
                 else:
                     ind = response
                 ind = ind[start:]
@@ -267,5 +264,4 @@ def _kneighbors_part(self, k, query, index, return_distance, is_self_querying):
 
         if return_distance:
             return neigh_dist, neigh_ind
-        else:
-            return neigh_ind
+        return neigh_ind
diff --git a/kiez/neighbors/approximate/random_projection_trees.py b/kiez/neighbors/approximate/random_projection_trees.py
index 979c467..ae60a3a 100644
--- a/kiez/neighbors/approximate/random_projection_trees.py
+++ b/kiez/neighbors/approximate/random_projection_trees.py
@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 # SPDX-License-Identifier: BSD-3-Clause
 # Author: Tom Dupre la Tour (original work)
 #         Roman Feldbauer (adaptions for scikit-hubness)
@@ -17,15 +16,14 @@
 from kiez.neighbors.neighbor_algorithm_base import NNAlgorithmWithJoblib
 
 try:
-    import annoy  # noqa: autoimport
+    import annoy
 
 except ImportError:  # pragma: no cover
     annoy = None
 
 
 class Annoy(NNAlgorithmWithJoblib):
-    """
-    Wrapper for Spotify's approximate nearest neighbor library
+    """Wrapper for Spotify's approximate nearest neighbor library.
 
     Parameters
     ----------
@@ -56,14 +54,14 @@ class Annoy(NNAlgorithmWithJoblib):
     See more details in the annoy documentation: https://github.com/spotify/annoy#full-python-api
     """
 
-    valid_metrics = [
+    valid_metrics = (
         "angular",
         "euclidean",
         "manhattan",
         "hamming",
         "dot",
         "minkowski",
-    ]
+    )
 
     def __init__(
         self,
@@ -75,7 +73,6 @@ def __init__(
         n_jobs: int = 1,
         verbose: int = 0,
     ):
-
         if annoy is None:  # pragma: no cover
             raise ImportError(
                 "Please install the `annoy` package, before using this class.\n"
@@ -242,5 +239,4 @@ def _kneighbors_part(self, k, query, index, return_distance, is_self_querying):
 
         if return_distance:
             return neigh_dist, neigh_ind
-        else:
-            return neigh_ind
+        return neigh_ind
diff --git a/kiez/neighbors/neighbor_algorithm_base.py b/kiez/neighbors/neighbor_algorithm_base.py
index 0e5f397..303e7ec 100644
--- a/kiez/neighbors/neighbor_algorithm_base.py
+++ b/kiez/neighbors/neighbor_algorithm_base.py
@@ -1,5 +1,6 @@
 import warnings
 from abc import ABC, abstractmethod
+from typing import Optional
 
 import numpy as np
 from joblib import Parallel, delayed, effective_n_jobs
@@ -8,7 +9,7 @@
 
 
 class NNAlgorithm(ABC):
-    """Base class for nearest neighbor algorithms"""
+    """Base class for nearest neighbor algorithms."""
 
     def __init__(self, n_candidates, metric, n_jobs):
         self.n_candidates = n_candidates
@@ -35,10 +36,10 @@ def _fit(self, data, is_source: bool):
     def fit(
         self,
         source: np.ndarray,
-        target: np.ndarray = None,
+        target: Optional[np.ndarray] = None,
         only_fit_target: bool = False,
     ):
-        """Indexes the given data using the underlying algorithm
+        """Indexes the given data using the underlying algorithm.
 
         Parameters
         ----------
@@ -84,7 +85,8 @@ def _check_k_value(self, k, needed_space):
         if k > needed_space:
             warnings.warn(
                 f"k={k} is larger than number of samples in indexed space.\n"
-                + f"Setting to k={needed_space}"
+                + f"Setting to k={needed_space}",
+                stacklevel=2,
             )
             return needed_space
         return k
diff --git a/kiez/neighbors/util.py b/kiez/neighbors/util.py
index 56ce333..6fc85c0 100644
--- a/kiez/neighbors/util.py
+++ b/kiez/neighbors/util.py
@@ -4,7 +4,8 @@
 
 
 def available_nn_algorithms() -> List[Type[NNAlgorithm]]:
-    """Get available (approximate) nearest neighbor algorithms
+    """Get available (approximate) nearest neighbor algorithms.
+
     Returns
     -------
     algorithms: List[Type[NNAlgorithm]]
@@ -16,6 +17,6 @@ def available_nn_algorithms() -> List[Type[NNAlgorithm]]:
         try:
             nn_algorithm_resolver.make(ann)
             available.append(nn_algorithm_resolver.lookup(ann))
-        except ImportError:
+        except ImportError:  # noqa: PERF203
             pass
     return available
diff --git a/noxfile.py b/noxfile.py
index 3884ff6..b0c7b30 100644
--- a/noxfile.py
+++ b/noxfile.py
@@ -2,7 +2,7 @@
 from nox_poetry import Session, session
 
 
-@session()
+@session(tags=["tests"])
 def tests(session: Session) -> None:
     args = session.posargs or ["tests/"]
     session.install(".")
@@ -15,11 +15,11 @@ def tests(session: Session) -> None:
         "--data-file=.coverage.base",
         "-m",
         "pytest",
-        *args
+        *args,
     )
 
 
-@nox_session(python="3.10", venv_backend="conda")
+@nox_session(python="3.10", venv_backend="conda", tags=["tests"])
 def test_faiss(session: Session) -> None:
     args = session.posargs or ["tests/"]
     session.conda_install(
@@ -36,11 +36,11 @@ def test_faiss(session: Session) -> None:
         "--data-file=.coverage.faiss",
         "-m",
         "pytest",
-        *args
+        *args,
     )
 
 
-@session(python="3.10")
+@session(python="3.10", tags=["tests"])
 def test_ngt(session: Session) -> None:
     args = session.posargs or ["tests/"]
     session.install(".[ngt]")
@@ -53,11 +53,11 @@ def test_ngt(session: Session) -> None:
         "--data-file=.coverage.ngt",
         "-m",
         "pytest",
-        *args
+        *args,
     )
 
 
-@session(python="3.10")
+@session(python="3.10", tags=["tests"])
 def test_nmslib(session: Session) -> None:
     args = session.posargs or ["tests/"]
     session.install(".[nmslib]")
@@ -70,11 +70,11 @@ def test_nmslib(session: Session) -> None:
         "--data-file=.coverage.nmslib",
         "-m",
         "pytest",
-        *args
+        *args,
     )
 
 
-@session(python="3.10")
+@session(python="3.10", tags=["tests"])
 def test_annoy(session: Session) -> None:
     args = session.posargs or ["tests/"]
     session.install(".[annoy]")
@@ -87,36 +87,45 @@ def test_annoy(session: Session) -> None:
         "--data-file=.coverage.annoy",
         "-m",
         "pytest",
-        *args
+        *args,
     )
 
 
+@session(python="3.10", tags=["tests"])
+def coverage(session: Session) -> None:
+    session.install("pytest")
+    session.install("pytest-cov")
+    session.run("coverage", "combine")
+    session.run("coverage", "html")
+
+
 locations = ["kiez", "tests", "noxfile.py"]
 
 
 @session()
 def lint(session: Session) -> None:
-    args = session.posargs or locations
-    session.install("black", "isort")
-    session.run("black", *args)
-    session.run("isort", *args)
+    session.install("pre-commit")
+    session.run(
+        "pre-commit",
+        "run",
+        "--all-files",
+        "--hook-stage=manual",
+        *session.posargs,
+    )
 
 
 @session()
 def style_checking(session: Session) -> None:
     args = session.posargs or locations
-    session.install(
-        "pyproject-flake8",
-        "flake8-eradicate",
-        "flake8-isort",
-        "flake8-debugger",
-        "flake8-comprehensions",
-        "flake8-print",
-        "flake8-black",
-        "flake8-bugbear",
-        "pydocstyle",
-    )
-    session.run("pflake8", *args)
+    session.install("ruff")
+    session.run("ruff", "check", *args)
+
+
+@session()
+def pedantic_checking(session: Session) -> None:
+    args = session.posargs or locations
+    session.install("ruff")
+    session.run("ruff", "check", '--extend-select="ARG,TID,PLR0913,PLR0912"', *args)
 
 
 @session()
diff --git a/poetry.lock b/poetry.lock
index 666c267..8da471f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -14,14 +14,14 @@ files = [
 
 [[package]]
 name = "annoy"
-version = "1.17.1"
+version = "1.17.3"
 description = "Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk."
 category = "main"
 optional = true
 python-versions = "*"
 files = [
-    {file = "annoy-1.17.1-cp39-cp39-macosx_10_12_universal2.whl", hash = "sha256:d15f03c8986f0d48244843cbfd706b4530047edb1700de463d034e8d10c89dbf"},
-    {file = "annoy-1.17.1.tar.gz", hash = "sha256:bf177dbeafb81f63b2ac1e1246b1f26a2acc82e73ba46638734d29d8258122da"},
+    {file = "annoy-1.17.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c33a5d4d344c136c84976bfb2825760142a8bb25335165e24e11c9afbfa8c2e9"},
+    {file = "annoy-1.17.3.tar.gz", hash = "sha256:9cbfebefe0a5f843eba29c6be4c84d601f4f41ad4ded0486f1b88c3b07739c15"},
 ]
 
 [[package]]
@@ -38,72 +38,56 @@ files = [
 
 [[package]]
 name = "argcomplete"
-version = "2.1.2"
+version = "3.2.1"
 description = "Bash tab completion for argparse"
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "argcomplete-2.1.2-py3-none-any.whl", hash = "sha256:4ba9cdaa28c361d251edce884cd50b4b1215d65cdc881bd204426cdde9f52731"},
-    {file = "argcomplete-2.1.2.tar.gz", hash = "sha256:fc82ef070c607b1559b5c720529d63b54d9dcf2dcfc2632b10e6372314a34457"},
+    {file = "argcomplete-3.2.1-py3-none-any.whl", hash = "sha256:30891d87f3c1abe091f2142613c9d33cac84a5e15404489f033b20399b691fec"},
+    {file = "argcomplete-3.2.1.tar.gz", hash = "sha256:437f67fb9b058da5a090df505ef9be0297c4883993f3f56cb186ff087778cfb4"},
 ]
 
 [package.extras]
-lint = ["flake8", "mypy"]
-test = ["coverage", "flake8", "mypy", "pexpect", "wheel"]
+test = ["coverage", "mypy", "pexpect", "ruff", "wheel"]
 
 [[package]]
 name = "asttokens"
-version = "2.2.1"
+version = "2.4.1"
 description = "Annotate AST trees with source code positions"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"},
-    {file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"},
+    {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
+    {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
 ]
 
 [package.dependencies]
-six = "*"
-
-[package.extras]
-test = ["astroid", "pytest"]
-
-[[package]]
-name = "attrs"
-version = "22.2.0"
-description = "Classes Without Boilerplate"
-category = "dev"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"},
-    {file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"},
-]
+six = ">=1.12.0"
 
 [package.extras]
-cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"]
-tests = ["attrs[tests-no-zope]", "zope.interface"]
-tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
+astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
+test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 
 [[package]]
 name = "babel"
-version = "2.12.1"
+version = "2.14.0"
 description = "Internationalization utilities"
 category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "Babel-2.12.1-py3-none-any.whl", hash = "sha256:b4246fb7677d3b98f501a39d43396d3cafdc8eadb045f4a31be01863f655c610"},
-    {file = "Babel-2.12.1.tar.gz", hash = "sha256:cc2d99999cd01d44420ae725a21c9e3711b3aadc7976d6147f622d8581963455"},
+    {file = "Babel-2.14.0-py3-none-any.whl", hash = "sha256:efb1a25b7118e67ce3a259bed20545c29cb68be8ad2c784c83689981b7a57287"},
+    {file = "Babel-2.14.0.tar.gz", hash = "sha256:6919867db036398ba21eb5c7a0f6b28ab8cbc3ae7a73a44ebe34ae74a4e7d363"},
 ]
 
 [package.dependencies]
 pytz = {version = ">=2015.7", markers = "python_version < \"3.9\""}
 
+[package.extras]
+dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
+
 [[package]]
 name = "backcall"
 version = "0.2.0"
@@ -116,151 +100,133 @@ files = [
     {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
 ]
 
-[[package]]
-name = "black"
-version = "22.12.0"
-description = "The uncompromising code formatter."
-category = "dev"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "black-22.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eedd20838bd5d75b80c9f5487dbcb06836a43833a37846cf1d8c1cc01cef59d"},
-    {file = "black-22.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:159a46a4947f73387b4d83e87ea006dbb2337eab6c879620a3ba52699b1f4351"},
-    {file = "black-22.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d30b212bffeb1e252b31dd269dfae69dd17e06d92b87ad26e23890f3efea366f"},
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+[package.dependencies]
+importlib-metadata = {version = ">3.6", markers = "python_version < \"3.10\""}
+
 [package.extras]
 click = ["click"]
 docdata = ["docdata"]
@@ -268,23 +234,10 @@ docs = ["sphinx", "sphinx-autodoc-typehints", "sphinx-automodapi", "sphinx-rtd-t
 numpy = ["numpy"]
 optuna = ["optuna"]
 ray = ["ray[tune] (<2.0.0)"]
+sklearn = ["scikit-learn"]
 tests = ["coverage", "docdata", "pytest"]
 torch = ["torch"]
-
-[[package]]
-name = "click"
-version = "8.1.3"
-description = "Composable command line interface toolkit"
-category = "dev"
-optional = false
-python-versions = ">=3.7"
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-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
+torch-geometric = ["torch", "torch-geometric", "torch-sparse"]
 
 [[package]]
 name = "colorama"
@@ -300,14 +253,14 @@ files = [
 
 [[package]]
 name = "colorlog"
-version = "6.7.0"
+version = "6.8.0"
 description = "Add colours to the output of Python's logging module."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -318,63 +271,64 @@ development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
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-version = "7.2.2"
+version = "7.3.4"
 description = "Code coverage measurement for Python"
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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+    {file = "coverage-7.3.4.tar.gz", hash = "sha256:020d56d2da5bc22a0e00a5b0d54597ee91ad72446fa4cf1b97c35022f6b6dbf0"},
 ]
 
 [package.dependencies]
@@ -397,14 +351,14 @@ files = [
 
 [[package]]
 name = "distlib"
-version = "0.3.6"
+version = "0.3.8"
 description = "Distribution utilities"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "distlib-0.3.6-py2.py3-none-any.whl", hash = "sha256:f35c4b692542ca110de7ef0bea44d73981caeb34ca0b9b6b2e6d7790dda8f80e"},
-    {file = "distlib-0.3.6.tar.gz", hash = "sha256:14bad2d9b04d3a36127ac97f30b12a19268f211063d8f8ee4f47108896e11b46"},
+    {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
+    {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
 ]
 
 [[package]]
@@ -419,28 +373,16 @@ files = [
     {file = "docutils-0.19.tar.gz", hash = "sha256:33995a6753c30b7f577febfc2c50411fec6aac7f7ffeb7c4cfe5991072dcf9e6"},
 ]
 
-[[package]]
-name = "eradicate"
-version = "2.2.0"
-description = "Removes commented-out code."
-category = "dev"
-optional = false
-python-versions = "*"
-files = [
-    {file = "eradicate-2.2.0-py3-none-any.whl", hash = "sha256:751813c315a48ce7e3d0483410991015342d380a956e86e0265c61bfb875bcbc"},
-    {file = "eradicate-2.2.0.tar.gz", hash = "sha256:c329a05def6a4b558dab58bb1b694f5209706b7c99ba174d226dfdb69a5ba0da"},
-]
-
 [[package]]
 name = "exceptiongroup"
-version = "1.1.1"
+version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.1.1-py3-none-any.whl", hash = "sha256:232c37c63e4f682982c8b6459f33a8981039e5fb8756b2074364e5055c498c9e"},
-    {file = "exceptiongroup-1.1.1.tar.gz", hash = "sha256:d484c3090ba2889ae2928419117447a14daf3c1231d5e30d0aae34f354f01785"},
+    {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
+    {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
 ]
 
 [package.extras]
@@ -448,164 +390,46 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "executing"
-version = "1.2.0"
+version = "2.0.1"
 description = "Get the currently executing AST node of a frame, and other information"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.5"
 files = [
-    {file = "executing-1.2.0-py2.py3-none-any.whl", hash = "sha256:0314a69e37426e3608aada02473b4161d4caf5a4b244d1d0c48072b8fee7bacc"},
-    {file = "executing-1.2.0.tar.gz", hash = "sha256:19da64c18d2d851112f09c287f8d3dbbdf725ab0e569077efb6cdcbd3497c107"},
+    {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"},
+    {file = "executing-2.0.1.tar.gz", hash = "sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147"},
 ]
 
 [package.extras]
-tests = ["asttokens", "littleutils", "pytest", "rich"]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
 [[package]]
 name = "filelock"
-version = "3.10.7"
+version = "3.13.1"
 description = "A platform independent file lock."
 category = "dev"
 optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "filelock-3.10.7-py3-none-any.whl", hash = "sha256:bde48477b15fde2c7e5a0713cbe72721cb5a5ad32ee0b8f419907960b9d75536"},
-    {file = "filelock-3.10.7.tar.gz", hash = "sha256:892be14aa8efc01673b5ed6589dbccb95f9a8596f0507e232626155495c18105"},
-]
-
-[package.extras]
-docs = ["furo (>=2022.12.7)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.2.2)", "diff-cover (>=7.5)", "pytest (>=7.2.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"]
-
-[[package]]
-name = "flake8"
-version = "4.0.1"
-description = "the modular source code checker: pep8 pyflakes and co"
-category = "dev"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "flake8-4.0.1-py2.py3-none-any.whl", hash = "sha256:479b1304f72536a55948cb40a32dce8bb0ffe3501e26eaf292c7e60eb5e0428d"},
-    {file = "flake8-4.0.1.tar.gz", hash = "sha256:806e034dda44114815e23c16ef92f95c91e4c71100ff52813adf7132a6ad870d"},
-]
-
-[package.dependencies]
-mccabe = ">=0.6.0,<0.7.0"
-pycodestyle = ">=2.8.0,<2.9.0"
-pyflakes = ">=2.4.0,<2.5.0"
-
-[[package]]
-name = "flake8-bugbear"
-version = "22.12.6"
-description = "A plugin for flake8 finding likely bugs and design problems in your program. Contains warnings that don't belong in pyflakes and pycodestyle."
-category = "dev"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
-[package.dependencies]
-attrs = ">=19.2.0"
-flake8 = ">=3.0.0"
-
-[package.extras]
-dev = ["coverage", "hypothesis", "hypothesmith (>=0.2)", "pre-commit", "tox"]
-
-[[package]]
-name = "flake8-comprehensions"
-version = "3.11.1"
-description = "A flake8 plugin to help you write better list/set/dict comprehensions."
-category = "dev"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "flake8_comprehensions-3.11.1-py3-none-any.whl", hash = "sha256:d1e27f4099900c61fb156cbb7461e0e49702385fd388326e1a892d04b069c48e"},
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-]
-
-[package.dependencies]
-flake8 = ">=3.0,<3.2.0 || >3.2.0"
-
-[[package]]
-name = "flake8-debugger"
-version = "4.1.2"
-description = "ipdb/pdb statement checker plugin for flake8"
-category = "dev"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "flake8-debugger-4.1.2.tar.gz", hash = "sha256:52b002560941e36d9bf806fca2523dc7fb8560a295d5f1a6e15ac2ded7a73840"},
-    {file = "flake8_debugger-4.1.2-py3-none-any.whl", hash = "sha256:0a5e55aeddcc81da631ad9c8c366e7318998f83ff00985a49e6b3ecf61e571bf"},
-]
-
-[package.dependencies]
-flake8 = ">=3.0"
-pycodestyle = "*"
-
-[[package]]
-name = "flake8-eradicate"
-version = "1.4.0"
-description = "Flake8 plugin to find commented out code"
-category = "dev"
-optional = false
-python-versions = ">=3.7,<4.0"
-files = [
-    {file = "flake8-eradicate-1.4.0.tar.gz", hash = "sha256:3088cfd6717d1c9c6c3ac45ef2e5f5b6c7267f7504d5a74b781500e95cb9c7e1"},
-    {file = "flake8_eradicate-1.4.0-py3-none-any.whl", hash = "sha256:e3bbd0871be358e908053c1ab728903c114f062ba596b4d40c852fd18f473d56"},
-]
-
-[package.dependencies]
-attrs = "*"
-eradicate = ">=2.0,<3.0"
-flake8 = ">=3.5,<6"
-
-[[package]]
-name = "flake8-isort"
-version = "4.2.0"
-description = "flake8 plugin that integrates isort ."
-category = "dev"
-optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "flake8-isort-4.2.0.tar.gz", hash = "sha256:26571500cd54976bbc0cf1006ffbcd1a68dd102f816b7a1051b219616ba9fee0"},
-    {file = "flake8_isort-4.2.0-py3-none-any.whl", hash = "sha256:5b87630fb3719bf4c1833fd11e0d9534f43efdeba524863e15d8f14a7ef6adbf"},
+    {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
+    {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
 ]
 
-[package.dependencies]
-flake8 = ">=3.2.1,<6"
-isort = ">=4.3.5,<6"
-
 [package.extras]
-test = ["pytest-cov"]
-
-[[package]]
-name = "flake8-print"
-version = "5.0.0"
-description = "print statement checker plugin for flake8"
-category = "dev"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "flake8-print-5.0.0.tar.gz", hash = "sha256:76915a2a389cc1c0879636c219eb909c38501d3a43cc8dae542081c9ba48bdf9"},
-    {file = "flake8_print-5.0.0-py3-none-any.whl", hash = "sha256:84a1a6ea10d7056b804221ac5e62b1cee1aefc897ce16f2e5c42d3046068f5d8"},
-]
-
-[package.dependencies]
-flake8 = ">=3.0"
-pycodestyle = "*"
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
 category = "main"
 optional = true
 python-versions = ">=3.5"
 files = [
-    {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
-    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
+    {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
+    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
 ]
 
 [[package]]
@@ -622,23 +446,23 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "6.1.0"
+version = "7.0.0"
 description = "Read metadata from Python packages"
 category = "main"
-optional = true
-python-versions = ">=3.7"
+optional = false
+python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-6.1.0-py3-none-any.whl", hash = "sha256:ff80f3b5394912eb1b108fcfd444dc78b7f1f3e16b16188054bd01cb9cb86f09"},
-    {file = "importlib_metadata-6.1.0.tar.gz", hash = "sha256:43ce9281e097583d758c2c708c4376371261a02c34682491a8e98352365aad20"},
+    {file = "importlib_metadata-7.0.0-py3-none-any.whl", hash = "sha256:d97503976bb81f40a193d41ee6570868479c69d5068651eb039c40d850c59d67"},
+    {file = "importlib_metadata-7.0.0.tar.gz", hash = "sha256:7fc841f8b8332803464e5dc1c63a2e59121f46ca186c0e2e182e80bf8c1319f7"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
 [[package]]
 name = "iniconfig"
@@ -683,14 +507,14 @@ tomli = {version = "*", markers = "python_version > \"3.6\" and python_version <
 
 [[package]]
 name = "ipython"
-version = "8.11.0"
+version = "8.12.3"
 description = "IPython: Productive Interactive Computing"
 category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipython-8.11.0-py3-none-any.whl", hash = "sha256:5b54478e459155a326bf5f42ee4f29df76258c0279c36f21d71ddb560f88b156"},
-    {file = "ipython-8.11.0.tar.gz", hash = "sha256:735cede4099dbc903ee540307b9171fbfef4aa75cfcacc5a273b2cda2f02be04"},
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 ]
 
 [package.dependencies]
@@ -706,6 +530,7 @@ prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
 traitlets = ">=5"
+typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
 
 [package.extras]
 all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
@@ -720,43 +545,25 @@ qtconsole = ["qtconsole"]
 test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
 test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
 
-[[package]]
-name = "isort"
-version = "5.12.0"
-description = "A Python utility / library to sort Python imports."
-category = "dev"
-optional = false
-python-versions = ">=3.8.0"
-files = [
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-]
-
-[package.extras]
-colors = ["colorama (>=0.4.3)"]
-pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib"]
-plugins = ["setuptools"]
-requirements-deprecated-finder = ["pip-api", "pipreqs"]
-
 [[package]]
 name = "jedi"
-version = "0.18.2"
+version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
-parso = ">=0.8.0,<0.9.0"
+parso = ">=0.8.3,<0.9.0"
 
 [package.extras]
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-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jinja2"
@@ -778,74 +585,74 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.2.0"
+version = "1.3.2"
 description = "Lightweight pipelining with Python functions"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
 ]
 
 [[package]]
 name = "markupsafe"
-version = "2.1.2"
+version = "2.1.3"
 description = "Safely add untrusted strings to HTML/XML markup."
 category = "main"
 optional = true
 python-versions = ">=3.7"
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 [[package]]
@@ -863,53 +670,41 @@ files = [
 [package.dependencies]
 traitlets = "*"
 
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-description = "McCabe checker, plugin for flake8"
-category = "dev"
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-
 [[package]]
 name = "mypy"
-version = "1.6.0"
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 description = "Optional static typing for Python"
 category = "dev"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -920,6 +715,7 @@ typing-extensions = ">=4.1.0"
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
 install-types = ["pip"]
+mypyc = ["setuptools (>=50)"]
 reports = ["lxml"]
 
 [[package]]
@@ -1010,35 +806,35 @@ pybind11 = "<2.6.2"
 
 [[package]]
 name = "nox"
-version = "2022.11.21"
+version = "2023.4.22"
 description = "Flexible test automation."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
-argcomplete = ">=1.9.4,<3.0"
+argcomplete = ">=1.9.4,<4.0"
 colorlog = ">=2.6.1,<7.0.0"
 packaging = ">=20.9"
 virtualenv = ">=14"
 
 [package.extras]
-tox-to-nox = ["jinja2", "tox"]
+tox-to-nox = ["jinja2", "tox (<4)"]
 
 [[package]]
 name = "nox-poetry"
-version = "1.0.2"
+version = "1.0.3"
 description = "nox-poetry"
 category = "dev"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1048,52 +844,52 @@ tomlkit = ">=0.7"
 
 [[package]]
 name = "numpy"
-version = "1.24.2"
+version = "1.24.4"
 description = "Fundamental package for array computing in Python"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "packaging"
-version = "23.0"
+version = "23.2"
 description = "Core utilities for Python packages"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "packaging-23.0-py3-none-any.whl", hash = "sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2"},
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 ]
 
 [[package]]
@@ -1161,28 +957,16 @@ files = [
 qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
 testing = ["docopt", "pytest (<6.0.0)"]
 
-[[package]]
-name = "pathspec"
-version = "0.11.1"
-description = "Utility library for gitignore style pattern matching of file paths."
-category = "dev"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
 [[package]]
 name = "pexpect"
-version = "4.8.0"
+version = "4.9.0"
 description = "Pexpect allows easy control of interactive console applications."
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "pexpect-4.8.0-py2.py3-none-any.whl", hash = "sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937"},
-    {file = "pexpect-4.8.0.tar.gz", hash = "sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c"},
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 ]
 
 [package.dependencies]
@@ -1202,30 +986,30 @@ files = [
 
 [[package]]
 name = "platformdirs"
-version = "3.2.0"
+version = "4.1.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "platformdirs-4.1.0.tar.gz", hash = "sha256:906d548203468492d432bcb294d4bc2fff751bf84971fbb2c10918cc206ee420"},
 ]
 
 [package.extras]
-docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"]
-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.2.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
 
 [[package]]
 name = "pluggy"
-version = "1.0.0"
+version = "1.3.0"
 description = "plugin and hook calling mechanisms for python"
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1234,14 +1018,14 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.38"
+version = "3.0.43"
 description = "Library for building powerful interactive command lines in Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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+    {file = "prompt_toolkit-3.0.43.tar.gz", hash = "sha256:3527b7af26106cbc65a040bcc84839a3566ec1b051bb0bfe953631e704b0ff7d"},
 ]
 
 [package.dependencies]
@@ -1249,26 +1033,28 @@ wcwidth = "*"
 
 [[package]]
 name = "psutil"
-version = "5.9.4"
+version = "5.9.7"
 description = "Cross-platform lib for process and system monitoring in Python."
 category = "main"
 optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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@@ -1316,93 +1102,35 @@ files = [
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-
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+windows-terminal = ["colorama (>=0.4.6)"]
 
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+version = "7.4.3"
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 category = "dev"
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 iniconfig = "*"
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 tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
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+testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-cov"
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+version = "4.1.0"
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+python-versions = ">=3.7"
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@@ -1434,14 +1162,14 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtuale
 
 [[package]]
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+version = "3.12.0"
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@@ -1467,80 +1195,112 @@ six = ">=1.5"
 
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 [package.dependencies]
 joblib = ">=1.1.1"
-numpy = ">=1.17.3"
-scipy = ">=1.3.2"
+numpy = ">=1.17.3,<2.0"
+scipy = ">=1.5.0"
 threadpoolctl = ">=2.0.0"
 
 [package.extras]
 benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
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 [[package]]
 name = "scipy"
@@ -1598,7 +1358,7 @@ name = "snowballstemmer"
 version = "2.2.0"
 description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
 category = "main"
-optional = false
+optional = true
 python-versions = "*"
 files = [
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@@ -1738,14 +1498,14 @@ test = ["pytest"]
 
 [[package]]
 name = "stack-data"
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+version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 category = "dev"
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 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -1758,14 +1518,14 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
 name = "threadpoolctl"
-version = "3.1.0"
+version = "3.2.0"
 description = "threadpoolctl"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -1794,130 +1554,130 @@ files = [
 
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 name = "tomlkit"
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+version = "0.12.3"
 description = "Style preserving TOML library"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "tqdm"
-version = "4.65.0"
+version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
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+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.9.0"
+version = "5.14.0"
 description = "Traitlets Python configuration system"
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.5.0"
-description = "Backported and Experimental Type Hints for Python 3.7+"
+version = "4.9.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "urllib3"
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+version = "2.1.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.8"
 files = [
-    {file = "urllib3-1.26.15-py2.py3-none-any.whl", hash = "sha256:aa751d169e23c7479ce47a0cb0da579e3ede798f994f5816a74e4f4500dcea42"},
-    {file = "urllib3-1.26.15.tar.gz", hash = "sha256:8a388717b9476f934a21484e8c8e61875ab60644d29b9b39e11e4b9dc1c6b305"},
+    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
+    {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
-socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.21.0"
+version = "20.25.0"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.21.0-py3-none-any.whl", hash = "sha256:31712f8f2a17bd06234fa97fdf19609e789dd4e3e4bf108c3da71d710651adbc"},
-    {file = "virtualenv-20.21.0.tar.gz", hash = "sha256:f50e3e60f990a0757c9b68333c9fdaa72d7188caa417f96af9e52407831a3b68"},
+    {file = "virtualenv-20.25.0-py3-none-any.whl", hash = "sha256:4238949c5ffe6876362d9c0180fc6c3a824a7b12b80604eeb8085f2ed7460de3"},
+    {file = "virtualenv-20.25.0.tar.gz", hash = "sha256:bf51c0d9c7dd63ea8e44086fa1e4fb1093a31e963b86959257378aef020e1f1b"},
 ]
 
 [package.dependencies]
-distlib = ">=0.3.6,<1"
-filelock = ">=3.4.1,<4"
-platformdirs = ">=2.4,<4"
+distlib = ">=0.3.7,<1"
+filelock = ">=3.12.2,<4"
+platformdirs = ">=3.9.1,<5"
 
 [package.extras]
-docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=22.12)"]
-test = ["covdefaults (>=2.2.2)", "coverage (>=7.1)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23)", "pytest (>=7.2.1)", "pytest-env (>=0.8.1)", "pytest-freezegun (>=0.4.2)", "pytest-mock (>=3.10)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)"]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
 
 [[package]]
 name = "wcwidth"
-version = "0.2.6"
+version = "0.2.12"
 description = "Measures the displayed width of unicode strings in a terminal"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
-    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
+    {file = "wcwidth-0.2.12-py2.py3-none-any.whl", hash = "sha256:f26ec43d96c8cbfed76a5075dac87680124fa84e0855195a6184da9c187f133c"},
+    {file = "wcwidth-0.2.12.tar.gz", hash = "sha256:f01c104efdf57971bcb756f054dd58ddec5204dd15fa31d6503ea57947d97c02"},
 ]
 
 [[package]]
 name = "zipp"
-version = "3.15.0"
+version = "3.17.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
-optional = true
-python-versions = ">=3.7"
+optional = false
+python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
-    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
+    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
+    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [extras]
 annoy = ["annoy"]
@@ -1928,4 +1688,4 @@ nmslib = ["nmslib"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8,<4.0"
-content-hash = "8b6ab0beb0856b8cd9178084ab5eb80f1d1510ec537941a3132ff082903cfee1"
+content-hash = "2e6c90c08e3e720f7dc84463c0e74b89b65741e54c619f423f529c0ad025493e"
diff --git a/pyproject.toml b/pyproject.toml
index 0706cf4..e7eebff 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -39,21 +39,13 @@ insegel = {version = "^1.3.1", optional = true}
 
 [tool.poetry.group.dev.dependencies]
 ipdb = "^0.13.9"
-mypy = "^1.5.1"
-pytest = "^7.1.2"
-pytest-cov = "^3.0.0"
-pyproject-flake8 = "^0.0.1a4"
-flake8-eradicate = "^1.2.1"
-flake8-isort = "^4.1.1"
-flake8-debugger = "^4.1.2"
-flake8-comprehensions = "^3.10.0"
-flake8-print = "^5.0.0"
+mypy = "^1.8.0"
+pytest = "^7.4.3"
+pytest-cov = "^4.1.0"
 nox-poetry = "^1.0.0"
-black = "^22.3.0"
-pytest-mock = "^3.7.0"
-pydocstyle = "^6.1.1"
-flake8-bugbear = "^22.7.1"
+pytest-mock = "^3.12.0"
 toml = "^0.10.2"
+ruff = "^0.1.9"
 
 [tool.poetry.extras]
 docs = ["sphinx", "insegel"]
@@ -62,40 +54,39 @@ nmslib = ["nmslib"]
 annoy = ["annoy"]
 
 [build-system]
-requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
+requires = [
+  "poetry-core>=1",
+]
+
+[tool.ruff]
+# Same as Black.
+line-length = 88
+indent-width = 4
+
+# Assume Python 3.8
+target-version = "py38"
 
-[tool.flake8]
-ignore = "E203, E266, E501, W503, F403, F401, B950, B905, C408"
-max-line-length = 88
+[tool.ruff.lint]
+ignore = ["E111", "E114", "E117", "E501", "D1", "D203", "D213", "D206", "D300", "Q000", "Q001", "Q002", "Q003", "COM812", "COM819", "ISC001","ISC002", "B905", "W191", "PLR0913", "PLR0912"]
+select = ["B", "C", "E", "F", "W", "B", "I", "D", "UP", "A", "C4", "T10", "ICN", "PIE", "PYI", "PT", "RET", "SIM", "ERA", "PD", "PGH", "PL", "NPY", "PERF", "RUF"]
+
+[tool.ruff.lint.mccabe]
 max-complexity = 18
-select = "B,C,E,F,W,T4,B9"
-count = "true"
-show-source = "true"
-statistics = "true"
 
-[tool.black]
-line-length = 88
-experimental-string-processing = true
-include = '\.pyi?$'
-exclude = '''
-/(
-    \.git
-  | \.hg
-  | \.mypy_cache
-  | \.tox
-  | \.venv
-  | _build
-  | buck-out
-  | build
-  | dist
-)/
-'''
+[tool.ruff.lint.pyupgrade]
+# Preserve types, even if a file imports `from __future__ import annotations`.
+keep-runtime-typing = true
+
+[tool.ruff.format]
+# Like Black, use double quotes for strings.
+quote-style = "double"
+
+# Like Black, indent with spaces, rather than tabs.
+indent-style = "space"
 
+# Like Black, respect magic trailing commas.
+skip-magic-trailing-comma = false
 
-[tool.isort]
-profile = "black"
-multi_line_output = 3
-line_length = 88
-include_trailing_comma = true
-reverse_relative = true
+# Like Black, automatically detect the appropriate line ending.
+line-ending = "auto"
diff --git a/tests/analysis/test_estimation.py b/tests/analysis/test_estimation.py
index 40a4227..077627e 100644
--- a/tests/analysis/test_estimation.py
+++ b/tests/analysis/test_estimation.py
@@ -26,7 +26,7 @@
 rng = np.random.RandomState(2)
 
 
-@pytest.fixture
+@pytest.fixture()
 def get_expected():
     expected = {}
     for k in [2, 5, 10, 50]:
@@ -68,23 +68,6 @@ def test_all(k, get_expected):
             assert pytest.approx(v) == measures[score_key]
 
 
-@pytest.mark.parametrize("verbose", [True, False])
-def test_shuffle_equal(verbose):
-    assert hubness_score(
-        PRE_CALC_NEIGHBORS,
-        1000,
-        shuffle_equal=True,
-        verbose=verbose,
-        return_value="k_skewness",
-    ) == hubness_score(
-        PRE_CALC_NEIGHBORS,
-        1000,
-        shuffle_equal=False,
-        verbose=verbose,
-        return_value="k_skewness",
-    )
-
-
 def test_atkinson():
     atkinson_0999 = _calc_atkinson_index(K_OCC, eps=0.999)
     atkinson_1000 = _calc_atkinson_index(K_OCC, eps=1)
@@ -129,5 +112,5 @@ def test_k_too_large():
 
 
 def test_wrong_neighbors():
-    with pytest.raises(ValueError):
+    with pytest.raises(ValueError, match="no negative"):
         hubness_score(np.array([[np.inf], [0]]), 1)
diff --git a/tests/evaluate/test_eval_metrics.py b/tests/evaluate/test_eval_metrics.py
index e23e67b..94b5e6b 100644
--- a/tests/evaluate/test_eval_metrics.py
+++ b/tests/evaluate/test_eval_metrics.py
@@ -4,7 +4,7 @@
 
 
 @pytest.mark.parametrize(
-    "nn_ind, gold, k, expected",
+    ("nn_ind", "gold", "k", "expected"),
     [
         (
             [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6]],
diff --git a/tests/hubness_reduction/test_wrong_inputs.py b/tests/hubness_reduction/test_wrong_inputs.py
index f88a908..3dcd975 100644
--- a/tests/hubness_reduction/test_wrong_inputs.py
+++ b/tests/hubness_reduction/test_wrong_inputs.py
@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
-from numpy.testing import assert_array_equal
 
-from kiez import Kiez
 from kiez.hubness_reduction import LocalScaling, MutualProximity
 from kiez.neighbors import SklearnNN
 
@@ -10,12 +8,10 @@
 
 
 def test_wrong_input_mp():
-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="not recognized"):
         MutualProximity(nn_algo=SklearnNN(), method="wrong")
-    assert "not recognized" in str(exc_info.value)
 
 
 def test_wrong_input_ls():
-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="Invalid"):
         LocalScaling(nn_algo=SklearnNN(), method="wrong")
-    assert "Invalid" in str(exc_info.value)
diff --git a/tests/io/test_data_loading.py b/tests/io/test_data_loading.py
index e9fe80d..95dd5d9 100644
--- a/tests/io/test_data_loading.py
+++ b/tests/io/test_data_loading.py
@@ -6,7 +6,7 @@
 
 
 @pytest.mark.parametrize(
-    "input,expected",
+    ("values", "expected"),
     [
         (
             (
@@ -40,8 +40,8 @@
         ),
     ],
 )
-def test_seperate_common_embedding(input, expected):
-    emb1, emb2, ids1, ids2, ent_links = _seperate_common_embedding(*input)
+def test_seperate_common_embedding(values, expected):
+    emb1, emb2, ids1, ids2, ent_links = _seperate_common_embedding(*values)
     assert_array_equal(expected[0], emb1)
     assert_array_equal(expected[1], emb2)
     assert expected[2] == ids1
diff --git a/tests/neighbors/test_annoy.py b/tests/neighbors/test_annoy.py
index 76511ad..dd24e91 100644
--- a/tests/neighbors/test_annoy.py
+++ b/tests/neighbors/test_annoy.py
@@ -6,10 +6,7 @@
 from kiez.neighbors.util import available_nn_algorithms
 
 NN_ALGORITHMS = available_nn_algorithms()
-if Annoy not in NN_ALGORITHMS:
-    skip = True
-else:
-    skip = False
+skip = Annoy not in NN_ALGORITHMS
 skip_reason = "Annoy not installed"
 
 
@@ -18,9 +15,8 @@
 
 @pytest.mark.skipif(skip, reason=skip_reason)
 def test_wrong_metric():
-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="Unknown"):
         Annoy(metric="jibberish")
-    assert "Unknown" in str(exc_info.value)
 
 
 @pytest.mark.skipif(skip, reason=skip_reason)
@@ -64,7 +60,7 @@ def test_inner_kneighbors(tmp_path, source_target, n_neighbors=5):
     source, target = source_target
     annoy = Annoy(n_candidates=n_neighbors)
     annoy.fit(source, target)
-    with pytest.raises(AssertionError) as exc_info:
+    with pytest.raises(AssertionError, match="Internal"):
         annoy._kneighbors_part(
             k=n_neighbors,
             query=source,
@@ -72,9 +68,8 @@ def test_inner_kneighbors(tmp_path, source_target, n_neighbors=5):
             return_distance=True,
             is_self_querying=False,
         )
-    assert "Internal" in str(exc_info.value)
 
-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="Internal"):
         annoy._kneighbors_part(
             k=n_neighbors,
             query=source,
@@ -82,9 +77,8 @@ def test_inner_kneighbors(tmp_path, source_target, n_neighbors=5):
             return_distance=True,
             is_self_querying=False,
         )
-    assert "Internal" in str(exc_info.value)
 
-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="Internal"):
         annoy._kneighbors_part(
             k=n_neighbors,
             query=source,
@@ -92,4 +86,3 @@ def test_inner_kneighbors(tmp_path, source_target, n_neighbors=5):
             return_distance=True,
             is_self_querying=False,
         )
-    assert "Internal" in str(exc_info.value)
diff --git a/tests/neighbors/test_base.py b/tests/neighbors/test_base.py
index 7812b8b..57f4242 100644
--- a/tests/neighbors/test_base.py
+++ b/tests/neighbors/test_base.py
@@ -1,7 +1,7 @@
 import numpy as np
 import pytest
 
-from kiez.neighbors import NMSLIB, NNG, Annoy, Faiss, SklearnNN
+from kiez.neighbors import SklearnNN
 from kiez.neighbors.util import available_nn_algorithms
 
 NN_ALGORITHMS = available_nn_algorithms()
@@ -19,13 +19,12 @@ def test_str_rep(algo_cls, source_target):
 
 
 def test_check_k_value():
-    with pytest.raises(ValueError) as exc_info:
-        SklearnNN()._check_k_value(k=-1, needed_space=2)
-    assert "Expected" in str(exc_info.value)
+    space = 2
+    with pytest.raises(ValueError, match="Expected"):
+        SklearnNN()._check_k_value(k=-1, needed_space=space)
 
-    with pytest.raises(TypeError) as exc_info:
-        SklearnNN()._check_k_value(k="test", needed_space=2)
-    assert "integer" in str(exc_info.value)
+    with pytest.raises(TypeError, match="integer"):
+        SklearnNN()._check_k_value(k="test", needed_space=space)
 
-    checked = SklearnNN()._check_k_value(k=3, needed_space=2)
-    assert checked == 2
+    checked = SklearnNN()._check_k_value(k=3, needed_space=space)
+    assert checked == space
diff --git a/tests/neighbors/test_faiss.py b/tests/neighbors/test_faiss.py
index 014f1ac..6c0de93 100644
--- a/tests/neighbors/test_faiss.py
+++ b/tests/neighbors/test_faiss.py
@@ -1,4 +1,3 @@
-import numpy as np
 import pytest
 from numpy.testing import assert_array_equal
 
@@ -6,10 +5,7 @@
 from kiez.neighbors.util import available_nn_algorithms
 
 NN_ALGORITHMS = available_nn_algorithms()
-if Faiss not in NN_ALGORITHMS:
-    skip = True
-else:
-    skip = False
+skip = Faiss not in NN_ALGORITHMS
 
 
 @pytest.mark.skipif(skip, reason="Faiss not installed")
diff --git a/tests/neighbors/test_hnsw.py b/tests/neighbors/test_hnsw.py
index 539ddcf..617b668 100644
--- a/tests/neighbors/test_hnsw.py
+++ b/tests/neighbors/test_hnsw.py
@@ -6,10 +6,7 @@
 from kiez.neighbors.util import available_nn_algorithms
 
 NN_ALGORITHMS = available_nn_algorithms()
-if NMSLIB not in NN_ALGORITHMS:
-    skip = True
-else:
-    skip = False
+skip = NMSLIB not in NN_ALGORITHMS
 skip_reason = "NMSLIB not installed"
 
 rng = np.random.RandomState(2)
@@ -17,9 +14,8 @@
 
 @pytest.mark.skipif(skip, reason=skip_reason)
 def test_wrong_metric():
-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="Unknown"):
         NMSLIB(metric="jibberish")
-    assert "Unknown" in str(exc_info.value)
 
 
 @pytest.mark.skipif(skip, reason=skip_reason)
diff --git a/tests/neighbors/test_nng.py b/tests/neighbors/test_nng.py
index 1cba671..2fc1908 100644
--- a/tests/neighbors/test_nng.py
+++ b/tests/neighbors/test_nng.py
@@ -6,10 +6,7 @@
 from kiez.neighbors.util import available_nn_algorithms
 
 NN_ALGORITHMS = available_nn_algorithms()
-if NNG not in NN_ALGORITHMS:
-    skip = True
-else:
-    skip = False
+skip = NNG not in NN_ALGORITHMS
 skip_reason = "NNG not installed"
 
 
@@ -18,18 +15,15 @@
 
 @pytest.mark.skipif(skip, reason=skip_reason)
 def test_wrong_metric():
-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="Unknown"):
         NNG(metric="jibberish")
-        assert "Unknown" in exc_info
 
 
 @pytest.mark.skipif(skip, reason=skip_reason)
 def test_wrong_dir(source_target):
     source, _ = source_target
-    with pytest.raises(TypeError) as exc_info:
-        nng = NNG(index_dir=1)
-        nng.fit(source)
-        assert "NNG requires" in exc_info
+    with pytest.raises(TypeError, match="NNG requires"):
+        NNG(index_dir=1)
 
 
 @pytest.mark.skipif(skip, reason=skip_reason)
diff --git a/tests/test_kiez.py b/tests/test_kiez.py
index 78bafe2..a527aa8 100644
--- a/tests/test_kiez.py
+++ b/tests/test_kiez.py
@@ -10,9 +10,9 @@
 
 NN_ALGORITHMS = available_nn_algorithms()
 
-MP = [("MutualProximity", dict(method=method)) for method in ["normal", "empiric"]]
-LS = [("LocalScaling", dict(method=method)) for method in ["standard", "nicdm"]]
-DSL = [("DisSimLocal", dict(squared=val)) for val in [True, False]]
+MP = [("MutualProximity", {"method": method}) for method in ["normal", "empiric"]]
+LS = [("LocalScaling", {"method": method}) for method in ["standard", "nicdm"]]
+DSL = [("DisSimLocal", {"squared": val}) for val in [True, False]]
 HUBNESS_AND_KWARGS = [(None, {}), ("CSLS", {}), *MP, *LS, *DSL]
 
 
@@ -27,12 +27,12 @@ def test_no_hub(source_target):
     # check only created target index
     assert not hasattr(k_inst.algorithm, "source_index")
     k_inst.algorithm = SklearnNN()
-    assert "f{k_inst}"
+    assert "f{k_inst}"  # noqa: PLW0129
     assert (
         Kiez(
             n_candidates=n_cand,
             algorithm="SklearnNN",
-            algorithm_kwargs=dict(metric="minkowski"),
+            algorithm_kwargs={"metric": "minkowski"},
         ).algorithm.n_candidates
         == n_cand
     )
@@ -63,7 +63,7 @@ def test_algo_resolver(source_target, algo, n_cand=5):
     assert_different_neighbors(k_inst, n_cand)
 
 
-@pytest.mark.parametrize("hub,hubkwargs", HUBNESS_AND_KWARGS)
+@pytest.mark.parametrize(("hub", "hubkwargs"), HUBNESS_AND_KWARGS)
 def test_hubness_resolver(hub, hubkwargs, source_target, n_cand=5):
     source, target = source_target
     k_inst = Kiez(
@@ -77,38 +77,33 @@ def test_hubness_resolver(hub, hubkwargs, source_target, n_cand=5):
     assert_different_neighbors(k_inst, n_cand)
     k_inst.fit(source, None)
     assert_different_neighbors(k_inst, n_cand)
-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="Cannot"):
         k_inst = Kiez(
             algorithm="SklearnNN",
             n_candidates=1,
             hubness=hub,
             hubness_kwargs=hubkwargs,
         )
-    assert "Cannot" in str(exc_info.value)
 
 
 def test_n_candidates_wrong():
-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="Expected"):
         Kiez(n_candidates=-1)
-    assert "Expected" in str(exc_info.value)
 
 
 def test_n_candidates_wrong_type():
-    with pytest.raises(TypeError) as exc_info:
+    with pytest.raises(TypeError, match="does not"):
         Kiez(n_candidates="1")
-    assert "does not" in str(exc_info.value)
 
 
 def test_dis_sim_local_wrong():
-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="only supports"):
         Kiez(algorithm=SklearnNN(p=1), hubness="DisSimLocal")
-    assert "only supports" in str(exc_info.value)
 
 
 def test_dis_sim_local_wrong_metric():
-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="only supports"):
         Kiez(algorithm=SklearnNN(metric="cosine"), hubness="DisSimLocal")
-    assert "only supports" in str(exc_info.value)
 
 
 def test_dis_sim_local_squaring():
@@ -132,8 +127,7 @@ def test_from_config():
 def mock_make(name, algorithm_kwargs):
     if name == "Faiss":
         raise ImportError
-    else:
-        return SklearnNN()
+    return SklearnNN()
 
 
 @mock.patch("kiez.kiez.nn_algorithm_resolver.make", mock_make)