From 44fd8b73fdaa28f07896d6846b7b04199315c7d1 Mon Sep 17 00:00:00 2001
From: Lint Action <lint-action@samuelmeuli.com>
Date: Tue, 19 Dec 2023 20:47:54 +0000
Subject: [PATCH] Fix code style issues with Black

---
 rocketpy/mathutils/function.py | 17 +++++----
 rocketpy/tools.py              | 70 ++++++++++++++++------------------
 2 files changed, 43 insertions(+), 44 deletions(-)

diff --git a/rocketpy/mathutils/function.py b/rocketpy/mathutils/function.py
index 9cfa32641..84936c84b 100644
--- a/rocketpy/mathutils/function.py
+++ b/rocketpy/mathutils/function.py
@@ -200,7 +200,7 @@ def set_source(self, source):
             self.__outputs__,
             self.__interpolation__,
             self.__extrapolation__,
-        ) 
+        )
         # If the source is a Function
         if isinstance(source, Function):
             source = source.get_source()
@@ -211,7 +211,9 @@ def set_source(self, source):
                     source = np.loadtxt(file, delimiter=",")
                 except ValueError:
                     # If an error occurs, headers are present
-                    source = np.loadtxt(data_preprocessing(source), delimiter=",", dtype=np.float64)
+                    source = np.loadtxt(
+                        data_preprocessing(source), delimiter=",", dtype=np.float64
+                    )
                 except Exception as e:
                     raise ValueError(
                         "The source file is not a valid csv or txt file."
@@ -1119,8 +1121,7 @@ def low_pass_filter(self, alpha):
             source=filtered_signal,
             interpolation=self.__interpolation__,
             extrapolation=self.__extrapolation__,
-        )   
-    
+        )
 
     # Define all presentation methods
     def __call__(self, *args):
@@ -2918,7 +2919,9 @@ def _check_user_input(
                     source = np.loadtxt(source, delimiter=",", dtype=np.float64)
                 except ValueError:
                     # If an error occurs, there is a header
-                    source = np.loadtxt(data_preprocessing(source), delimiter=",", dtype=np.float64)
+                    source = np.loadtxt(
+                        data_preprocessing(source), delimiter=",", dtype=np.float64
+                    )
                 except Exception as e:
                     raise ValueError(
                         "The source file is not a valid csv or txt file."
@@ -2991,8 +2994,8 @@ def _check_user_input(
                     + f"and output dimension ({in_out_dim})."
                 )
         return inputs, outputs, interpolation, extrapolation
-    
-    
+
+
 class PiecewiseFunction(Function):
     """Class for creating piecewise functions. These kind of functions are
     defined by a dictionary of functions, where the keys are tuples that
diff --git a/rocketpy/tools.py b/rocketpy/tools.py
index 07d2fa5e4..136a82a57 100644
--- a/rocketpy/tools.py
+++ b/rocketpy/tools.py
@@ -382,31 +382,31 @@ def check_requirement_version(module_name, version):
     return True
 
 
-
 def is_float(element):
-        """
-        Returns a boolean indicating us if an element is convertible to a float or not.
-        True : the element is convertible to a float
-        False : the element is not convertible to a float
-
-        Parameters
-        ----------
-        element : any
-            This is the element to test.
-
-        Returns
-        -------
-        result : boolean
-            The element is convertible or not.
-        """
-        if element is None: 
-            return False
-        try:
-            float(element)
-            return True
-        except ValueError:
-            return False
-        
+    """
+    Returns a boolean indicating us if an element is convertible to a float or not.
+    True : the element is convertible to a float
+    False : the element is not convertible to a float
+
+    Parameters
+    ----------
+    element : any
+        This is the element to test.
+
+    Returns
+    -------
+    result : boolean
+        The element is convertible or not.
+    """
+    if element is None:
+        return False
+    try:
+        float(element)
+        return True
+    except ValueError:
+        return False
+
+
 def return_first_data(source):
     """
     Returns the first data of a CSV file.
@@ -422,10 +422,10 @@ def return_first_data(source):
         The first data of the CSV file.
     """
     native_data = open(source)
-    for row in native_data : 
-        for value in row :
+    for row in native_data:
+        for value in row:
             return value
-            
+
 
 def if_header(source):
     """
@@ -459,9 +459,9 @@ def data_preprocessing(source):
     Function
         The function with the incoming cleared CSV
     """
-    output_path = 'cleaned_data.csv'
-    
-    with open(source, 'r') as file:
+    output_path = "cleaned_data.csv"
+
+    with open(source, "r") as file:
         reader = csv.reader(file)
         header = next(reader)  # Read the header
 
@@ -476,12 +476,11 @@ def data_preprocessing(source):
             data_no_headers.append(row)
 
     # Save the processed data to a new CSV file
-    with open(output_path, 'w', encoding='utf-8') as output_file:
-        writer = csv.writer(output_file, delimiter=',')
+    with open(output_path, "w", encoding="utf-8") as output_file:
+        writer = csv.writer(output_file, delimiter=",")
         writer.writerows(data_no_headers)
-            
+
     return output_path
-    
 
 
 if __name__ == "__main__":
@@ -492,6 +491,3 @@ def data_preprocessing(source):
         print(f"All the {results.attempted} tests passed!")
     else:
         print(f"{results.failed} out of {results.attempted} tests failed.")
-
-
-