Upgrade libraries

MLStructFP_benchmarks/ml/model/core/_data_floor_photo.py

@@ -348,6 +348,7 @@ def save_session(self, filename: str, description: str = '') -> None:
                 'split': self._split,
 
             }
+            # noinspection PyTypeChecker
             json.dump(data, fp, indent=2)
 
             self._loaded_session = {

MLStructFP_benchmarks/ml/model/core/_model.py

@@ -230,7 +230,7 @@ def __init__(self, name: str, path: Union[str, Path] = '') -> None:
         self._production = False  # Set model immutable to changes, also test and train data does not exist
         self._path = str(path)
         if self._path != '':
-            self._path += os.path.sep
+            self._path += os.pathsep
         _check_path(self._path)
 
         # Model
@@ -2092,6 +2092,7 @@ def _sorted_dict(d: Dict[str, Any]) -> Dict[str, Any]:
             # Save history, last as this is a large data
             data['history'] = self._history
 
+            # noinspection PyTypeChecker
             json.dump(data, fp, indent=2)
             self._loaded_session = {
                 'description': description,

MLStructFP_benchmarks/utils/_fp_patch_generator.py

@@ -90,10 +90,10 @@ def __init__(
         lx, ly = len(delta_x), len(delta_y)
         assert lx * ly != 0, 'deltas for x and y-axis must have at least 1 item'
         if 0 not in delta_x:
-            warn('Delta x must contain 0, which was added automatically')
+            warn('Delta x must contain 0, which has been automatically added')
             delta_x.append(0)
         if 0 not in delta_y:
-            warn('Delta y must contain 0, which was added automatically')
+            warn('Delta y must contain 0, which has been automatically added')
             delta_y.append(0)
         for i in range(lx):
             assert isinstance(delta_x[i], (int, float))

setup.py

@@ -18,7 +18,7 @@
     'Keras <= 2.3.1',
     'keras_tqdm <= 2.0.1',
     'matplotlib <= 3.5.3',
-    'MLStructFP >= 0.6.8',
+    'MLStructFP >= 0.6.9',
     'numpy <= 1.18.5',
     'Pillow >= 10.4.0',
     'plotly >= 5.23.0',