@@ -372,18 +372,22 @@ def scalar_fill_value_hdf5_file(tmpdir):
372372compound_fill = (- 9999 , - 9999.0 )
373373
374374fill_values = [
375- {"fill_value" : - 9999 , "data" : np .random .randint (0 , 10 , size = (5 ))},
376- {"fill_value" : - 9999.0 , "data" : np .random .random (5 )},
377- {"fill_value" : np .nan , "data" : np .random .random (5 )},
378- {"fill_value" : False , "data" : np .array ([True , False , False , True , True ])},
379- {"fill_value" : "NaN" , "data" : np .array (["three" ], dtype = "S10" )},
380- {"fill_value" : compound_fill , "data" : compound_data },
375+ {"label" : "int" , "fill_value" : - 9999 , "data" : np .random .randint (0 , 10 , size = (5 ))},
376+ {"label" : "float" , "fill_value" : - 9999.0 , "data" : np .random .random (5 )},
377+ {"label" : "npNan" , "fill_value" : np .nan , "data" : np .random .random (5 )},
378+ {
379+ "label" : "False" ,
380+ "fill_value" : False ,
381+ "data" : np .array ([True , False , False , True , True ]),
382+ },
383+ {"label" : "NaN" , "fill_value" : "NaN" , "data" : np .array (["three" ], dtype = "S10" )},
384+ {"label" : "compound" , "fill_value" : compound_fill , "data" : compound_data },
381385]
382386
383387
384388@pytest .fixture (params = fill_values )
385389def cf_fill_value_hdf5_file (tmpdir , request ):
386- filepath = f"{ tmpdir } /cf_fill_value .nc"
390+ filepath = f"{ tmpdir } /cf_fill_value_ { request . param [ 'label' ] } .nc"
387391 f = h5py .File (filepath , "w" )
388392 dset = f .create_dataset (name = "data" , data = request .param ["data" ], chunks = True )
389393 dim_scale = f .create_dataset (
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