human
Solve the following python programming problem given the following code:
def test_download_blob_then_upload_as_dataframe_then_read_dataset(self) : 
    def datatypeid_from_header_and_format(header, format) : 
        if (format == 'csv') : 
            if (header == 'wh') : 
                return DataTypeIds.GenericCSV 
else : 
                return DataTypeIds.GenericCSVNoHeader 
else : 
            if (format == 'tsv') : 
                if (header == 'wh') : 
                    return DataTypeIds.GenericTSV 
else : 
                    return DataTypeIds.GenericTSVNoHeader 
else : 
                if (format == 'txt') : 
                    return DataTypeIds.PlainText 
else : 
                    self.assertTrue (False, 'Unexpected format') 
def split_blob_name(blob_name) : 
        (name, format) = blob_name.lower ().split ('.') 
        if (format != 'txt') : 
            (name, header) = name.split ('_') 
else : 
            header = 'nh' 
return (name, format, header) 
for blob_name in settings.storage.blobs : 
        print (blob_name) 
        (name, format, header) = split_blob_name (blob_name) 
        original_data = self.blob.get_blob_to_bytes (settings.storage.container, blob_name) 
        self._write_blob_contents (blob_name, original_data) 
        original_dataframe = pd.read_csv (BytesIO (original_data), header = (0 if (header == 'wh') else None), sep = (',' if (format == 'csv') else ('\t' if (format == 'tsv') else '
')), encoding = 'utf-8-sig') 
        dataset_name = (('unittest' + name) + id_generator ()) 
        description = ('safe to be deleted - ' + dataset_name) 
        data_type_id = datatypeid_from_header_and_format (header, format) 
        self.workspace.datasets.add_from_dataframe (original_dataframe, data_type_id, dataset_name, description) 
        dataset = self.workspace.datasets [dataset_name] 
        self.assertIsNotNone (dataset) 
        result_data = dataset.read_as_binary () 
        self._write_serialized_frame (header, result_data) 
        result_dataframe = dataset.to_dataframe () 
        assert_frame_equal...

    
    

    Fix the buggy line: self._write_serialized_frame (header, result_data)
assistant
#Here is Python program to fix the buggy line: self.

self._write_serialized_frame (blob_name, result_data)