From e75e68d9acc9336aea5293f61fa86f7898cd7d39 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 11 Dec 2023 16:29:04 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 src/fairlens/metrics/unified.py     | 1 -
 src/fairlens/scorer.py              | 1 -
 src/fairlens/sensitive/detection.py | 1 -
 3 files changed, 3 deletions(-)

diff --git a/src/fairlens/metrics/unified.py b/src/fairlens/metrics/unified.py
index ce49c459..0c3f7d0b 100644
--- a/src/fairlens/metrics/unified.py
+++ b/src/fairlens/metrics/unified.py
@@ -177,7 +177,6 @@ def _correlation_matrix_helper(
     cat_num_metric: Callable[[pd.Series, pd.Series], float] = kruskal_wallis,
     cat_cat_metric: Callable[[pd.Series, pd.Series], float] = cramers_v,
 ) -> float:
-
     a_type = utils.infer_distr_type(sr_a)
     b_type = utils.infer_distr_type(sr_b)
 
diff --git a/src/fairlens/scorer.py b/src/fairlens/scorer.py
index ca978b3a..7ec020f7 100644
--- a/src/fairlens/scorer.py
+++ b/src/fairlens/scorer.py
@@ -323,7 +323,6 @@ def _calculate_distance(
     method: str = "dist_to_all",
     p_value: bool = False,
 ) -> pd.DataFrame:
-
     unique = df[sensitive_attrs].drop_duplicates()
 
     dist = []
diff --git a/src/fairlens/sensitive/detection.py b/src/fairlens/sensitive/detection.py
index 70c1681b..4ce95490 100644
--- a/src/fairlens/sensitive/detection.py
+++ b/src/fairlens/sensitive/detection.py
@@ -81,7 +81,6 @@ def detect_names_df(
     sensitive_dict = _detect_names_dict(cols, threshold, str_distance, attr_synonym_dict)
 
     if deep_search:
-
         for col in cols:
             # Series containing only the unique values of the analyzed column.
             uniques = pd.Series(df[col].unique())