fix: formatting errors

Author: ruivieira

src/trustyai/__init__.py

@@ -21,7 +21,8 @@
 def init():
     """Deprecated manual initializer for the JVM. This function has been replaced by
     automatic initialization when importing the components of the module that require
-    JVM access, or by manual user initialization via :func:`trustyai`initializer.init`."""
+    JVM access, or by manual user initialization via :func:`trustyai`initializer.init`.
+    """
     warnings.warn(
         "trustyai.init() is now deprecated; the trustyai library will now "
         + "automatically initialize. For manual initialization options, see "

src/trustyai/explainers/__init__.py

@@ -1,4 +1,5 @@
 """Explainers module"""
+
 # pylint: disable=duplicate-code
 from .counterfactuals import CounterfactualResult, CounterfactualExplainer
 from .lime import LimeExplainer, LimeResults

src/trustyai/explainers/counterfactuals.py

@@ -1,4 +1,5 @@
 """Explainers.countefactual module"""
+
 # pylint: disable = import-error, too-few-public-methods, wrong-import-order, line-too-long,
 # pylint: disable = unused-argument
 from typing import Optional, Union, List

src/trustyai/explainers/explanation_results.py

@@ -1,4 +1,5 @@
 """Generic class for Explanation and Saliency results"""
+
 from abc import ABC, abstractmethod
 
 import pandas as pd

src/trustyai/explainers/extras/tsice.py

@@ -2,6 +2,7 @@
 Wrapper module for TSICEExplainer from aix360.
 Original at https://github.com/Trusted-AI/AIX360/
 """
+
 # pylint: disable=too-many-arguments,import-error
 from typing import Callable, List, Optional, Union
 
@@ -46,7 +47,8 @@ def as_html(self) -> pd.io.formats.style.Styler:
 
     def plot_forecast(self, variable):  # pylint: disable=too-many-locals
         """Plots the explanation.
-        Based on https://github.com/Trusted-AI/AIX360/blob/master/examples/tsice/plots.py"""
+        Based on https://github.com/Trusted-AI/AIX360/blob/master/examples/tsice/plots.py
+        """
         forecast_horizon = self.explanation["current_forecast"].shape[0]
         original_ts = pd.DataFrame(
             data={variable: self.explanation["data_x"][variable]}
@@ -161,7 +163,8 @@ def _add_timeseries(
 
     def plot_impact(self, feature_per_row=2):
         """Plot the impace.
-        Based on https://github.com/Trusted-AI/AIX360/blob/master/examples/tsice/plots.py"""
+        Based on https://github.com/Trusted-AI/AIX360/blob/master/examples/tsice/plots.py
+        """
 
         n_row = int(np.ceil(len(self.explanation["feature_names"]) / feature_per_row))
         feat_values = np.array(self.explanation["feature_values"])

src/trustyai/explainers/extras/tslime.py

@@ -35,7 +35,8 @@ def as_html(self) -> Styler:
 
     def plot(self):
         """Plot TSLime explanation for the time-series instance. Based on
-        https://github.com/Trusted-AI/AIX360/blob/master/examples/tslime/tslime_univariate_demo.ipynb"""
+        https://github.com/Trusted-AI/AIX360/blob/master/examples/tslime/tslime_univariate_demo.ipynb
+        """
         relevant_history = self.explanation["history_weights"].shape[0]
         input_data = self.explanation["input_data"]
         relevant_df = input_data[-relevant_history:]

src/trustyai/explainers/lime.py

@@ -1,4 +1,5 @@
 """Explainers.lime module"""
+
 # pylint: disable = import-error, too-few-public-methods, wrong-import-order, line-too-long,
 # pylint: disable = unused-argument, duplicate-code, consider-using-f-string, invalid-name
 from typing import Dict, Union

src/trustyai/explainers/pdp.py

@@ -1,4 +1,5 @@
 """Explainers.pdp module"""
+
 import math
 import pandas as pd
 from pandas.io.formats.style import Styler

src/trustyai/explainers/shap.py

@@ -1,4 +1,5 @@
 """Explainers.shap module"""
+
 # pylint: disable = import-error, too-few-public-methods, wrong-import-order, line-too-long,
 # pylint: disable = unused-argument, consider-using-f-string, invalid-name
 from typing import Dict, Optional, Union

src/trustyai/language/detoxify/__init__.py

@@ -1,2 +1,3 @@
 """Language detoxification module."""
+
 from trustyai.language.detoxify.tmarco import TMaRCo