code: def cases_tests(
      self, x, y, data_encoder, target_encoder, name, value
  ):
      import dirty_cat
  
      self.assertIsInstance(
          x,
          pd.DataFrame,
          f"Returned data matrix is not Pandas DataFrame for {name} {value}",
      )
      self.assertFalse(
          x.empty,
          f"Pandas DataFrame should not be empty for {name} {value}",
      )
      self.assertIsInstance(
          y,
          pd.DataFrame,
          f"Returned Target is not a Pandas DataFrame for {name} {value}",
      )
      self.assertFalse(
          y.empty,
          f"Pandas Target DataFrame should not be empty for {name} {value}",
      )
      self.assertIsInstance(
          data_encoder,
          dirty_cat.super_vectorizer.SuperVectorizer,
          f"Data Encoder is not a dirty_cat.super_vectorizer.SuperVectorizer instance for {name} {value}",
      )
      self.assertIsInstance(
          target_encoder,
          dirty_cat.super_vectorizer.SuperVectorizer,
          f"Data Target Encoder is not a dirty_cat.super_vectorizer.SuperVectorizer instance for {name} {value}",
      )
  
imports: import datetime
  import graphistry
  import logging
  import numpy
  import pandas
  from typing import Any
  import pytest
  import unittest
  import warnings
  from graphistry.feature_utils import process_dirty_dataframes, process_nodes_dataframes, resolve_feature_engine, lazy_import_has_min_dependancy, lazy_import_has_dependancy_text, FastEncoder
  from graphistry.features import topic_model, ngrams_model
  from graphistry.constants import SCALERS
label_desc: Use image node_id 1 for calling the TestFeatureProcessors obj's underlying member method code with example usage: obj.cases_tests(x, y, data_encoder, target_encoder, name, value) without return types