chore: hatch format

src/holisticai/bias/mitigation/inprocessing/commons/regression/_constraints.py

@@ -1,6 +1,5 @@
 import numpy as np
 import pandas as pd
-
 from holisticai.bias.mitigation.inprocessing.commons._conventions import (
     _ALL,
     _EVENT,

src/holisticai/bias/mitigation/inprocessing/grid_search/algorithm.py

@@ -2,8 +2,6 @@
 from typing import Any
 
 import pandas as pd
-from joblib import Parallel, delayed
-
 from holisticai.bias.mitigation.inprocessing.grid_search._grid_generator import GridGenerator
 
 
@@ -88,7 +86,7 @@ def fit(self, X: Any, y: Any, sensitive_features: Any):
         """
         self._load_data(X, y, sensitive_features)
         grid = self._generate_grid()
-        
+
         """            
         results = Parallel(n_jobs=self.n_jobs, verbose=self.verbose)(
             delayed(self.evaluate_candidate)(

src/holisticai/bias/mitigation/inprocessing/grid_search/transformer.py

@@ -1,15 +1,14 @@
 from __future__ import annotations
 
-from typing import Literal, Optional
+from typing import Literal
 
 import numpy as np
-from sklearn.base import BaseEstimator, clone
-
 from holisticai.bias.mitigation.inprocessing.commons.classification import _constraints as cc
 from holisticai.bias.mitigation.inprocessing.commons.regression import _constraints as rc
 from holisticai.bias.mitigation.inprocessing.commons.regression import _losses as rl
 from holisticai.bias.mitigation.inprocessing.grid_search.algorithm import GridSearchAlgorithm
 from holisticai.utils.transformers.bias import BMInprocessing as BMImp
+from sklearn.base import BaseEstimator, clone
 
 
 class GridSearchReduction(BMImp, BaseEstimator):

src/holisticai/bias/mitigation/postprocessing/lp_debiaser/multiclass_balancer/algorithm.py

@@ -1,7 +1,6 @@
 import numpy as np
 import pandas as pd
 import scipy
-
 from holisticai.bias.mitigation.postprocessing.lp_debiaser.multiclass_balancer import algorithm_utils as tools
 
 

src/holisticai/bias/mitigation/postprocessing/lp_debiaser/multiclass_balancer/transformer.py

@@ -1,7 +1,6 @@
 from typing import Literal
 
 import numpy as np
-
 from holisticai.bias.mitigation.postprocessing.lp_debiaser.multiclass_balancer.algorithm import (
     MulticlassBalancerAlgorithm,
 )
@@ -182,4 +181,4 @@ def _get_catalogs(self):
 
         obj_cat = {"macro": MacroLosses, "micro": MicroLosses}
 
-        return cons_cat, obj_cat
+        return cons_cat, obj_cat

src/holisticai/datasets/_dataset.py

@@ -10,7 +10,6 @@
 if TYPE_CHECKING:
     from collections.abc import Iterable
 
-import json
 
 import numpy as np
 from numpy.random import RandomState

src/holisticai/datasets/_load_dataset.py

@@ -116,7 +116,7 @@ def load_law_school_dataset(
     if preprocessed:
         y = y.map({"FALSE": 0, "TRUE": 1}).astype("category")
     X = df.drop(drop_columns, axis=1)
-    
+
     if protected_attribute is not None:
         if protected_attribute == "race":
             ga_label = "white"

src/holisticai/pipeline/_pipeline.py

@@ -184,4 +184,4 @@ def repr_info(self):
             "dtype": self.__class__.__name__,
             "attributes": {},
             "nested_objects": nested_objects,
-        }
+        }

src/holisticai/utils/transformers/bias/_inprocessing.py

@@ -55,4 +55,4 @@ def repr_info(self):
             "attributes": {
                 "Type": "Bias Mitigation Inprocessing",
             },
-        }
+        }

src/holisticai/utils/transformers/bias/_postprocessing.py

@@ -90,4 +90,4 @@ def repr_info(self):
             "attributes": {
                 "Type": "Bias Mitigation Postprocessing",
             },
-        }
+        }

src/holisticai/utils/transformers/bias/_preprocessing.py

@@ -57,4 +57,4 @@ def repr_info(self):
             "attributes": {
                 "Type": "Bias Mitigation Preprocessing",
             },
-        }
+        }