Synch with remote repo

instruments/readers/flag_reader.py

@@ -1,39 +1,39 @@
-import os
-import json
-
-#root_dir = os.path.abspath(os.curdir)
-#sys.path.append(root_dir)
-#print(__file__)
-
-#from instruments.readers import set_dima_path as configpath
-#configpath.set_dima_path()
-
-from utils import g5505_utils
-
-
-def read_jsonflag_as_dict(path_to_file):
-
-
-    file_dict = {}
-    path_tail, path_head = os.path.split(path_to_file)
-
-    file_dict['name'] = path_head
-    # TODO: review this header dictionary, it may not be the best way to represent header data
-    file_dict['attributes_dict'] = {}
-    file_dict['datasets'] = []
-
-    try:
-        with open(path_to_file, 'r') as stream:
-            flag = json.load(stream)#, Loader=json.FullLoader)
-    except (FileNotFoundError, json.JSONDecodeError) as exc:
-        print(exc)
-
-    dataset = {}
-    dataset['name'] = 'data_table'#_numerical_variables'
-    dataset['data'] = g5505_utils.convert_attrdict_to_np_structured_array(flag) #df_numerical_attrs.to_numpy()
-    dataset['shape'] = dataset['data'].shape
-    dataset['dtype'] = type(dataset['data'])  
-
-    file_dict['datasets'].append(dataset)
-
+import os
+import json
+
+#root_dir = os.path.abspath(os.curdir)
+#sys.path.append(root_dir)
+#print(__file__)
+
+#from instruments.readers import set_dima_path as configpath
+#configpath.set_dima_path()
+
+from utils import g5505_utils
+
+
+def read_jsonflag_as_dict(path_to_file):
+
+
+    file_dict = {}
+    path_tail, path_head = os.path.split(path_to_file)
+
+    file_dict['name'] = path_head
+    # TODO: review this header dictionary, it may not be the best way to represent header data
+    file_dict['attributes_dict'] = {}
+    file_dict['datasets'] = []
+
+    try:
+        with open(path_to_file, 'r') as stream:
+            flag = json.load(stream)#, Loader=json.FullLoader)
+    except (FileNotFoundError, json.JSONDecodeError) as exc:
+        print(exc)
+
+    dataset = {}
+    dataset['name'] = 'data_table'#_numerical_variables'
+    dataset['data'] = g5505_utils.convert_attrdict_to_np_structured_array(flag) #df_numerical_attrs.to_numpy()
+    dataset['shape'] = dataset['data'].shape
+    dataset['dtype'] = type(dataset['data'])  
+
+    file_dict['datasets'].append(dataset)
+
     return file_dict