@@ -492,25 +492,10 @@ def test_hybrid_search_not_available_in_server(index):
492492 REDIS_HYBRID_AVAILABLE , reason = "Requires hybrid search to NOT be available"
493493)
494494def test_hybrid_query_not_available (index ):
495- hybrid_query = HybridQuery (
496- text = "a medical professional with expertise in lung cancer" ,
497- text_field_name = "description" ,
498- yield_text_score_as = "text_score" ,
499- vector = [0.1 , 0.1 , 0.5 ],
500- vector_field_name = "user_embedding" ,
501- yield_vsim_score_as = "vsim_score" ,
502- combination_method = "RRF" ,
503- yield_combined_score_as = "hybrid_score" ,
504- return_fields = ["user" , "credit_score" , "age" , "job" , "location" , "description" ],
505- )
506-
507- with pytest .raises (ImportError ):
508- index .query (hybrid_query )
509-
510-
511- @pytest .mark .skipif (
512- REDIS_HYBRID_AVAILABLE , reason = "Requires hybrid search to NOT be available"
513- )
514- def test_hybrid_search_method_missing (index ):
515495 with pytest .raises (ImportError ):
516- index .query (None )
496+ HybridQuery (
497+ text = "a medical professional with expertise in lung cancer" ,
498+ text_field_name = "description" ,
499+ vector = [0.1 , 0.1 , 0.5 ],
500+ vector_field_name = "user_embedding" ,
501+ )
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