ci: add refurb to pre-commit config

.pre-commit-config.yaml

@@ -52,3 +52,8 @@ repos:
   hooks:
   - id: gitlint
     args: [--contrib=CT1, --ignore=B6, --msg-filename]
+
+- repo: https://github.com/dosisod/refurb
+  rev: v1.4.0
+  hooks:
+    - id: refurb

prototorch/models/architectures/comparison.py

@@ -32,9 +32,9 @@ class SimpleComparisonMixin(BaseYArchitecture):
         comparison_args: Keyword arguments for the comparison function. Default: {}.
         """
         comparison_fn: Callable = euclidean_distance
-        comparison_args: dict = field(default_factory=lambda: dict())
+        comparison_args: dict = field(default_factory=dict)
 
-        comparison_parameters: dict = field(default_factory=lambda: dict())
+        comparison_parameters: dict = field(default_factory=dict)
 
     # Steps
     # ----------------------------------------------------------------------------------------------
@@ -44,7 +44,7 @@ class SimpleComparisonMixin(BaseYArchitecture):
             **hparams.comparison_args,
         )
 
-        self.comparison_kwargs: dict[str, Tensor] = dict()
+        self.comparison_kwargs: dict[str, Tensor] = {}
 
     def comparison(self, batch, components):
         comp_tensor, _ = components
@@ -86,7 +86,7 @@ class OmegaComparisonMixin(SimpleComparisonMixin):
         latent_dim: int = 2
         omega_initializer: type[
             AbstractLinearTransformInitializer] = EyeLinearTransformInitializer
-        omega_initializer_kwargs: dict = field(default_factory=lambda: dict())
+        omega_initializer_kwargs: dict = field(default_factory=dict)
 
     # Steps
     # ----------------------------------------------------------------------------------------------

prototorch/models/architectures/optimization.py

@@ -46,7 +46,7 @@ class MultipleLearningRateMixin(BaseYArchitecture):
         lr: The learning rate. Default: 0.1.
         optimizer: The optimizer to use. Default: torch.optim.Adam.
         """
-        lr: dict = field(default_factory=lambda: dict())
+        lr: dict = field(default_factory=dict)
         optimizer: Type[torch.optim.Optimizer] = torch.optim.Adam
 
     # Hooks

prototorch/models/library/gmlvq.py

@@ -41,7 +41,7 @@ class GMLVQ(
         comparison_args: Keyword arguments for the comparison function. Override Default: {}.
         """
         comparison_fn: Callable = omega_distance
-        comparison_args: dict = field(default_factory=lambda: dict())
+        comparison_args: dict = field(default_factory=dict)
         optimizer: type[torch.optim.Optimizer] = torch.optim.Adam
 
         lr: dict = field(default_factory=lambda: dict(

setup.py

@@ -10,6 +10,8 @@
 
 ProtoTorch models Plugin Package
 """
+from pathlib import Path
+
 from pkg_resources import safe_name
 from setuptools import find_namespace_packages, setup
 
@@ -18,8 +20,7 @@ PLUGIN_NAME = "models"
 PROJECT_URL = "https://github.com/si-cim/prototorch_models"
 DOWNLOAD_URL = "https://github.com/si-cim/prototorch_models.git"
 
-with open("README.md", "r") as fh:
-    long_description = fh.read()
+long_description = Path("README.md").read_text(encoding='utf8')
 
 INSTALL_REQUIRES = [
     "prototorch>=0.7.3",