Allow virtual tensors .data to use indra_ts.numpy as fallback.

deeplake/core/dataset/indra_tensor_view.py

@@ -62,21 +62,33 @@ def numpy(
 
     def text(self, fetch_chunks: bool = False):
         """Return text data. Only applicable for tensors with 'text' base htype."""
-        bs = self.indra_tensor.bytes()
-        if self.ndim == 1:
-            return bs.decode()
-        if isinstance(bs, bytes):
-            return [bs.decode()]
-        return list(b.decode() for b in bs)
+        try:
+            bs = self.indra_tensor.bytes()
+            if self.ndim == 1:
+                return bs.decode()
+            if isinstance(bs, bytes):
+                return [bs.decode()]
+            return list(b.decode() for b in bs)
+        except Exception as e:
+            bs = self.indra_tensor.numpy(aslist=True)
+            if self.ndim == 1:
+                return bs[0]
+            return list(b[0] for b in bs)
 
     def dict(self, fetch_chunks: bool = False):
         """Return json data. Only applicable for tensors with 'json' base htype."""
-        bs = self.indra_tensor.bytes()
-        if self.ndim == 1:
-            return json.loads(bs.decode())
-        if isinstance(bs, bytes):
-            return [json.loads(bs.decode())]
-        return list(json.loads(b.decode()) for b in self.indra_tensor.bytes())
+        try:
+            bs = self.indra_tensor.bytes()
+            if self.ndim == 1:
+                return json.loads(bs.decode())
+            if isinstance(bs, bytes):
+                return [json.loads(bs.decode())]
+            return list(json.loads(b.decode()) for b in self.indra_tensor.bytes())
+        except Exception as e:
+            bs = self.indra_tensor.numpy(aslist=True)
+            if self.ndim == 1:
+                return bs[0]
+            return list(b[0] for b in bs)
 
     @property
     def dtype(self):

deeplake/util/bugout_token.py

@@ -1 +1 @@
-BUGOUT_TOKEN = "f7176d62-73fa-4ecc-b24d-624364bddcb0"
+BUGOUT_TOKEN = "0095ccd3-7ff0-41b9-b031-f4eb58f00906"