fixed max_view

deeplake/api/tests/test_api.py

@@ -46,6 +46,7 @@
     SampleExtendError,
 )
 from deeplake.util.path import convert_string_to_pathlib_if_needed, verify_dataset_name
+from deeplake.tests.common import requires_libdeeplake, disabale_hidden_tensors_config
 from deeplake.util.testing import assert_array_equal
 from deeplake.util.pretty_print import summary_tensor, summary_dataset
 from deeplake.util.shape_interval import ShapeInterval
@@ -2544,6 +2545,32 @@ def test_pickle_bug(local_ds):
     )
 
 
+@requires_libdeeplake
+def test_max_view_with_query(local_auth_ds):
+    import random
+
+    with local_auth_ds as ds:
+        ds.create_tensor(
+            "label1", htype="generic", dtype=np.int32, **disabale_hidden_tensors_config
+        )
+        ds.create_tensor(
+            "label2", htype="generic", dtype=np.int32, **disabale_hidden_tensors_config
+        )
+
+        for _ in range(1000):
+            ds.label1.append(int(100 * random.uniform(0.0, 1.0)))
+
+        for _ in range(100):
+            ds.label2.append(int(100 * random.uniform(0.0, 1.0)))
+
+    view = local_auth_ds.query("select label1, label2 LIMIT 200")
+    view_max = view.max_view
+
+    labels2 = view_max.label2.numpy(aslist=True)
+    assert labels2[150] == None
+    print(labels2, labels2[150])
+
+
 def test_max_view(memory_ds):
     with memory_ds as ds:
         ds.create_tensor("abc")

deeplake/core/dataset/dataset.py

@@ -4928,6 +4928,11 @@ def max_view(self):
             (20, 20, 3) [1]
             (20, 20, 3) [None]
         """
+        from deeplake.core.dataset.indra_dataset_view import IndraDatasetView
+
+        if isinstance(self, IndraDatasetView):
+            return self
+
         return self.__class__(
             storage=self.storage,
             index=self.index,

deeplake/core/dataset/indra_dataset_view.py

@@ -203,7 +203,7 @@ def __getitem__(
                 )
         else:
             raise InvalidKeyTypeError(item)
-        raise AttributeError("Dataset has no attribute - {item}")
+        raise AttributeError(f"Dataset has no attribute - {item}")
 
     def __getattr__(self, key):
         try: