debugging

SPIDER.py

@@ -66,11 +66,6 @@ DEFAULT_SCAN_TYPES = ['t1', 't2', 't2_SPACE']
 DEFAULT_RESIZE = (512, 512, 30)
 DEMO_SUBSET_N = 10
 
-# Import variable types
-var_types_path = os.path.join(os.getcwd(), "TextFiles", "var_types.json")
-with open(var_types_path, "r") as io:
-    VAR_TYPES = json.load(io)
-
 _CITATION = """\
 @misc{vandergraaf2023lumbar,
       title={Lumbar spine segmentation in MR images: a dataset and a public benchmark}, 
@@ -146,11 +141,12 @@ class CustomBuilderConfig(datasets.BuilderConfig):
         shuffle: bool = True,
     ):
         super().__init__(name, version, data_dir, data_files, description)
-        self.scan_types = self.validate_scan_types(scan_types)
+        self.scan_types = self._validate_scan_types(scan_types)
         self.resize_shape = resize_shape
         self.shuffle = shuffle
-        
-    def validate_scan_types(self, scan_types):
+        self.var_types = self._import_var_types()
+            
+    def _validate_scan_types(self, scan_types):
         for item in scan_types:
             if item not in ['t1', 't2', 't2_SPACE']:
                 raise ValueError(
@@ -158,6 +154,12 @@ class CustomBuilderConfig(datasets.BuilderConfig):
                     Verify scan type argument.'
                 )
         return scan_types
+    
+    def _import_var_types(self):
+        var_types_path = os.path.join("TextFiles", "var_types.json")
+        with open(var_types_path, "r") as io:
+            var_types = json.load(io)
+        return var_types
 
 
 class SPIDER(datasets.GeneratorBasedBuilder):
@@ -195,7 +197,7 @@ class SPIDER(datasets.GeneratorBasedBuilder):
     def _info(self):
         """Specify datasets.DatasetInfo object containing information and typing
         for the dataset."""
-
+        
         features = datasets.Features({
             "patient_id": datasets.Value("string"),
             "scan_type": datasets.Value("string"),
@@ -203,7 +205,10 @@ class SPIDER(datasets.GeneratorBasedBuilder):
             "mask": datasets.Array3D(shape=self.config.resize_shape, dtype='uint8'),
             "image_path": datasets.Value("string"),
             "mask_path": datasets.Value("string"),
-            "metadata": {k:datasets.Value(v) for k,v in VAR_TYPES['metadata'].items()},
+            "metadata": {
+                k:datasets.Value(v) for k,v in 
+                self.config.var_types['metadata'].items()
+            },
             #     {
             #     "num_vertebrae": datasets.Value("int16"),
             #     "num_discs": datasets.Value("int16"),
@@ -379,8 +384,8 @@ class SPIDER(datasets.GeneratorBasedBuilder):
         for scan_id, scan_metadata in overview_dict.items():
             cast_dict = {}
             for key, value in scan_metadata.items():
-                if key in VAR_TYPES['metadata']:
-                    new_type = VAR_TYPES['metadata'][key]
+                if key in self.config.var_types['metadata']:
+                    new_type = self.config.var_types['metadata'][key]
                     if new_type != "string":
                         cast_dict[key] = eval(f'np.{new_type}({value})')
                     else: