code: def test_get_table_as_pandas(self, search_leaderboard_entries):
      # given
      now = datetime.now()
      attributes = self.build_attributes_leaderboard(now)
  
      # and
      empty_entry = LeaderboardEntry(str(uuid.uuid4()), [])
      filled_entry = LeaderboardEntry(str(uuid.uuid4()), attributes)
      search_leaderboard_entries.return_value = [
          empty_entry,
          filled_entry,
      ]
  
      # when
      df = self.get_table().to_pandas()
  
      # then
      self.assertEqual("Inactive", df["run/state"][1])
      self.assertEqual(12.5, df["float"][1])
      self.assertEqual("some text", df["string"][1])
      self.assertEqual(now, df["datetime"][1])
      self.assertEqual(8.7, df["float/series"][1])
      self.assertEqual("last text", df["string/series"][1])
      self.assertEqual("a,b", df["string/set"][1])
      self.assertEqual("abcdef0123456789", df["git/ref"][1])
  
      with self.assertRaises(KeyError):
          self.assertTrue(df["file"])
      with self.assertRaises(KeyError):
          self.assertTrue(df["file/set"])
      with self.assertRaises(KeyError):
          self.assertTrue(df["image/series"])
  
imports: import os
  import uuid
  from abc import abstractmethod
  from datetime import datetime
  from typing import List
  from mock import patch
  from neptune import ANONYMOUS_API_TOKEN
  from neptune.envs import API_TOKEN_ENV_NAME, PROJECT_ENV_NAME
  from neptune.exceptions import MetadataInconsistency
  from neptune.internal.backends.api_model import Attribute, AttributeType, AttributeWithProperties, LeaderboardEntry
  from neptune.internal.backends.neptune_backend_mock import NeptuneBackendMock
  from neptune.metadata_containers.metadata_containers_table import Table, TableEntry
label_desc: Use image node_id 7 for calling the AbstractTablesTestMixin obj's underlying member method code with example usage: obj.test_get_table_as_pandas(search_leaderboard_entries) without return types