feat: improve behavior of clipped blocks

If avoid_clipped is True, the algorithm will not run on clipped block, they will not appear in the outputs.csv
Otherwise, the algorithm will search antecedent of clipped blocks with the search upper bound multiplied by 2.

antecedent/image.py

@@ -189,8 +189,6 @@ class Image:
     def filter_blocks(self, purge=False):
         if self.is_filtered and not purge:
             return
-        if not self.avoid_clipped and not purge:
-            return
 
         is_pixel = not self.is_jpeg
         backward_blocks = np.copy(self.block_view).reshape(-1, self.channel, 8, 8)  # List of blocks (None, c, 8, 8)
@@ -210,11 +208,16 @@ class Image:
         self.is_filtered = True
         return clip_mask
 
-    def select_blocks(self, purge=False, ignore_clipped=False):
+    def select_blocks(self, purge=False):
         if np.any(self.selected_blocks) and not purge:
             return self.selected_blocks
+        blocks = [b for _, b in self.block_collection.items() if
+                  not (self.avoid_clipped and b.is_clipped[self.pipeline])]
+
+        if self.selection_percentage == 100:
+            self.selected_blocks = blocks
+            return self.selected_blocks
 
-        blocks = [b for _, b in self.block_collection.items() if not (ignore_clipped and b.is_clipped[self.pipeline])]
         n = min(int(len(self.block_collection) * self.selection_percentage / 100), len(blocks))
 
         if self.method_name == 'random':