export HDF5_USE_FILE_LOCKING='FALSE';
        #if $input_options.selected_input == 'refseq_and_interval'
        bgzip -c '$input_options.target_file' > '${target_file.element_identifier}.gz' &&
        tabix -p bed '${target_file.element_identifier}.gz' &&
        cp '$input_options.ref_genome_file' '${ref_genome_file.element_identifier}' &&
        #end if
        python '$__tool_directory__/keras_train_and_eval.py'
            --inputs '$inputs'
            --estimator '$experiment_schemes.infile_estimator'
            #if $input_options.selected_input == 'seq_fasta'
                --fasta_path '$input_options.fasta_path'
            #elif $input_options.selected_input == 'refseq_and_interval'
                --ref_seq "`pwd`/${ref_genome_file.element_identifier}"
                --interval '$input_options.interval_file'
                --targets "`pwd`/${target_file.element_identifier}.gz"
            #else
                --infile1 '$input_options.infile1'
            #end if
                --infile2 '$input_options.infile2'
                --outfile_result '$outfile_result'
            #if $save and 'save_estimator' in str($save)
                --outfile_object '$outfile_object'
                --outfile_weights '$outfile_weights'
            #end if
            #if $save and 'save_prediction' in str($save)
                --outfile_y_true '$outfile_y_true'
                --outfile_y_preds '$outfile_y_preds'
            #end if
            #if $experiment_schemes.test_split.split_algos.shuffle == 'group'
                --groups '$experiment_schemes.test_split.split_algos.groups_selector.infile_g'
            #end if