👷 update precommit config

.pre-commit-config.yaml

@@ -58,7 +58,7 @@ repos:
 
   # Python linting using ruff
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.8.0
+    rev: v0.8.1
     hooks:
       - id: ruff
         args: ["--fix", "--show-fixes"]
@@ -86,14 +86,14 @@ repos:
 
   # Format configuration files with prettier
   - repo: https://github.com/rbubley/mirrors-prettier
-    rev: v3.3.3
+    rev: v3.4.1
     hooks:
       - id: prettier
         types_or: [yaml, markdown, html, css, scss, javascript, json]
 
   # Check for spelling
   - repo: https://github.com/crate-ci/typos
-    rev: typos-dict-v0.11.35
+    rev: v1.28.1
     hooks:
       - id: typos
 
@@ -115,14 +115,14 @@ repos:
 
   # Check JSON schemata
   - repo: https://github.com/python-jsonschema/check-jsonschema
-    rev: 0.29.4
+    rev: 0.30.0
     hooks:
       - id: check-dependabot
       - id: check-github-workflows
       - id: check-readthedocs
 
   # Check the pyproject.toml file
   - repo: https://github.com/henryiii/validate-pyproject-schema-store
-    rev: 2024.11.22
+    rev: 2024.11.25
     hooks:
       - id: validate-pyproject

pyproject.toml

@@ -186,20 +186,17 @@ extend-select = [
     "SLF",         # flake8-self
     "SLOT",        # flake8-slots
     "SIM",         # flake8-simplify
-    "TCH",         # flake8-type-checking
+    "TC",         # flake8-type-checking
     "TID251",      # flake8-tidy-imports.banned-api
     "TRY",         # tryceratops
     "UP",          # pyupgrade
     "YTT",         # flake8-2020
 ]
 ignore = [
-    "ANN101",  # Missing type annotation for `self` in method
-    "ANN102",  # Missing type annotation for `cls` in classmethod
     "ISC001",  # Conflicts with formatter
     "PLR09",   # Too many <...>
     "PLR2004", # Magic value used in comparison
     "PLC0415", # Import should be at top of file
-    "PT004",   # Incorrect, just usefixtures instead.
     "S101",    # Use of assert detected
     "S404",    # `subprocess` module is possibly insecure
 ]

scripts/Knapsack/Knapsack.py

@@ -1,16 +1,17 @@
 from __future__ import annotations
 
 import locale
-import os
 from pathlib import Path
-from typing import cast
+from typing import TYPE_CHECKING, cast
 
 import numpy as np
-from sympy import Expr
 
 # for managing symbols
 from mqt.qao import Constraints, ObjectiveFunction, Problem, Solver, Variables
 
+if TYPE_CHECKING:
+    from sympy import Expr
+
 lambdas_method = [
     "upper_bound_only_positive",
     "maximum_coefficient",
@@ -44,8 +45,7 @@
     ("upper lower bound posiform and negaform method", "binary search penalty algorithm"),
 ]
 
-files = os.listdir("Data/")
-for file in files:
+for file in Path("Data/").iterdir():
     print(file)
     with Path("./Data/" + file).open("r", encoding=locale.getpreferredencoding(False)) as f:
         lines = f.readlines()
@@ -65,7 +65,7 @@
         variables = Variables()
         obj = variables.add_binary_variables_array("obj", [objects])
         objective_function = ObjectiveFunction()
-        objective_function.add_objective_function(cast(Expr, np.dot(np.transpose(obj), p_arr)), minimization=False)
+        objective_function.add_objective_function(cast("Expr", np.dot(np.transpose(obj), p_arr)), minimization=False)
         constraint = Constraints()
         constraint.add_constraint(str(np.dot(np.transpose(obj), w_arr)) + " <= " + format(W_max))
         problem = Problem()
@@ -85,7 +85,7 @@
         variables = Variables()
         obj = variables.add_binary_variables_array("obj", [objects])
         objective_function = ObjectiveFunction()
-        objective_function.add_objective_function(cast(Expr, np.dot(np.transpose(obj), p_arr)), minimization=False)
+        objective_function.add_objective_function(cast("Expr", np.dot(np.transpose(obj), p_arr)), minimization=False)
         constraint = Constraints()
         constraint.add_constraint(str(np.dot(np.transpose(obj), w_arr)) + " <= " + format(W_max))
         problem = Problem()

scripts/linear_regression/LinearRegression.py

@@ -1,16 +1,18 @@
 from __future__ import annotations
 
-from typing import cast
+from typing import TYPE_CHECKING, cast
 
 import numpy as np
 import pandas as pd
 from sklearn.decomposition import PCA
 from sklearn.utils import shuffle
-from sympy import Expr
 
 # for managing symbols
 from mqt.qao import Constraints, ObjectiveFunction, Problem, Solver, Variables
 
+if TYPE_CHECKING:
+    from sympy import Expr
+
 df = pd.read_csv("iris_csv.csv")
 df = shuffle(df)
 d = len(df.columns) - 1
@@ -48,7 +50,7 @@
 objective_function = ObjectiveFunction()
 objective_function.add_objective_function(
     cast(
-        Expr,
+        "Expr",
         (
             np.dot(np.dot(np.dot(np.transpose(w), np.transpose(X_training)), X_training), w)
             - 2 * np.dot(np.dot(np.transpose(w), np.transpose(X_training)), Y_training)