Delete errorManager class commited by mistake

modules/module_BiasExplorer.py

@@ -12,8 +12,7 @@ __all__ = ['WordBiasExplorer', 'WEBiasExplorer2Spaces', 'WEBiasExplorer4Spaces']
 class WordBiasExplorer:
     def __init__(
         self, 
-        embedding,      # Embedding class instance
-        errorManager    # ErrorManager class instance
+        embedding  # Embedding Class instance
     ) -> None:
 
         self.embedding = embedding
@@ -21,7 +20,6 @@ class WordBiasExplorer:
         self.positive_end = None
         self.negative_end = None
         self.DIRECTION_METHODS = ['single', 'sum', 'pca']
-        self.errorManager = errorManager
 
     def __copy__(
         self
@@ -247,12 +245,12 @@ class WordBiasExplorer:
         out_msj = ""
 
         if not word:
-            out_msj = ['EMBEDDING_NO_WORD_PROVIDED']
+            out_msj = "Error: Primero debe ingresar una palabra!"
         else:
             if word not in self.embedding:
-                out_msj = ['EMBEDDING_WORD_OOV', word]
+                out_msj = f"Error: La palabra '<b>{word}</b>' no se encuentra en el vocabulario!"
 
-        return self.errorManager.process(out_msj)
+        return out_msj
 
     def check_oov(
         self, 
@@ -269,11 +267,10 @@ class WordBiasExplorer:
 class WEBiasExplorer2Spaces(WordBiasExplorer):
     def __init__(
         self, 
-        embedding,      # Embedding class instance
-        errorManager    # ErrorManager class instance
+        embedding   # Embedding class instance
     ) -> None:
 
-        super().__init__(embedding, errorManager)
+        super().__init__(embedding)
 
     def calculate_bias(
         self,
@@ -286,7 +283,7 @@ class WEBiasExplorer2Spaces(WordBiasExplorer):
         
         for wordlist in wordlists:
             if not wordlist:
-                raise Exception('At least one word should be in the to diagnose list, bias 1 list and bias 2 list')
+                raise Exception('Debe ingresar al menos 1 palabra en las lista de palabras a diagnosticar, sesgo 1 y sesgo 2')
         
         err = self.check_oov(wordlists)
         if err:
@@ -371,8 +368,10 @@ class WEBiasExplorer2Spaces(WordBiasExplorer):
         plt.xticks(np.arange(-most_extream_projection,
                              most_extream_projection + axis_projection_step,
                              axis_projection_step))
-
-
+        
+        # xlabel = ('← {} {} {} →'.format(self.negative_end,
+        #                                 ' ' * 20,
+        #                                 self.positive_end))
         xlabel = axes_labels_format(
             left=self.negative_end,
             right=self.positive_end,
@@ -389,11 +388,10 @@ class WEBiasExplorer2Spaces(WordBiasExplorer):
 class WEBiasExplorer4Spaces(WordBiasExplorer):
     def __init__(
         self, 
-        embedding,      # Embedding Class instance
-        errorManager    # ErrorManager class instance
+        embedding   # Embedding Class instance
     ) -> None:
 
-        super().__init__(embedding, errorManager)
+        super().__init__(embedding)
 
     def calculate_bias(
         self,
@@ -414,7 +412,7 @@ class WEBiasExplorer4Spaces(WordBiasExplorer):
 
         for wordlist in wordlists:
             if not wordlist:
-                raise Exception('To plot with 4 spaces, you must enter at least one word in all lists')
+                raise Exception('¡Para graficar con 4 espacios, debe ingresar al menos 1 palabra en todas las listas!')
 
         err = self.check_oov(wordlists)
         if err:
@@ -504,15 +502,9 @@ class WEBiasExplorer4Spaces(WordBiasExplorer):
             projections_df['projection']
             .abs()
             .max(),
-            decimals=1
-        )
-        
-        sns.scatterplot(x='projection_x', 
-                        y='projection_y', 
-                        data=projections_df,
-                        # color=list(projections_df['color'].to_list()), # No se distinguen los colores
-                        color='blue'
-        )
+            decimals=1)
+        sns.scatterplot(x='projection_x', y='projection_y', data=projections_df,
+                        palette=projections_df['color'])
 
         plt.xticks(np.arange(-most_extream_projection,
                              most_extream_projection + axis_projection_step,
@@ -520,7 +512,13 @@ class WEBiasExplorer4Spaces(WordBiasExplorer):
         for _, row in (projections_df.iterrows()):
             ax.annotate(
                 row['word'], (row['projection_x'], row['projection_y']))
+        # x_label = '← {} {} {} →'.format(name_left,
+        #                                 ' ' * 20,
+        #                                 name_right)
 
+        # y_label = '← {} {} {} →'.format(name_top,
+        #                                 ' ' * 20,
+        #                                 name_bottom)
 
         x_label = axes_labels_format(
             left=name_left,