Fix a Not Defined Variable `filepath` in streaming=False mode, and reshape ndim of timestamp from 0 to 1

gfs-reforecast.py

@@ -72,6 +72,17 @@ class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
 
     DEFAULT_CONFIG_NAME = "gfs_v16"  # It's not mandatory to have a default configuration. Just use one if it make sense.
 
+    def __init__(self, filepath="https://huggingface.co/datasets/openclimatefix/gfs-reforecast/resolve/main/gfs_v16.json", **kwargs):
+        """BuilderConfig for GFEReforecastDataset.
+
+        Args:
+        filepath: *string*, the path of a json file, which consists of the relative path of https://huggingface.co/datasets/openclimatefix/gfs-reforecast
+        to the data files we want to load, default = "https://huggingface.co/datasets/openclimatefix/gfs-reforecast/resolve/main/gfs_v16.json"
+        **kwargs: keyword arguments forwarded to super.
+        """
+        super().__init__(version=datasets.Version("1.0.0"), **kwargs)
+        self.filepath = filepath
+    
     def _info(self):
         features = {}
         if "v16" in self.config.name:
@@ -133,7 +144,7 @@ class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
         if streaming:
             urls = dl_manager.download_and_extract(urls)
         else:
-            with open(filepath, "r") as f:
+            with open(self.filepath, "r") as f:
                 filepaths = json.load(f)
                 data_dir = dl_manager.download_and_extract(filepaths)
         return [
@@ -186,7 +197,7 @@ class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
                         data_t1 = dataset.isel(time=(t+1))
                         value = {"current_state": np.stack([data_t[v].values for v in sorted(data_t.data_vars)], axis=2),
                                  "next_state": np.stack([data_t1[v].values for v in sorted(data_t.data_vars)], axis=2),
-                                 "timestamp": data_t["time"].values,
+                                 "timestamp": data_t["time"].values.reshape(-1),
                                  "latitude": data_t["latitude"].values,
                                  "longitude": data_t["longitude"].values}
                         idx += 1