def _prep_sample_and_config(ldetail_group, fastq_dir, fastq_final_dir):
    """Prepare output fastq file and configuration for a single sample.

    Only passes non-empty files through for processing.
    """
    files = []
    print("->", ldetail_group[0]["name"], len(ldetail_group))
    for read in ["R1", "R2"]:
        fastq_inputs = sorted(list(set(reduce(operator.add,
                                              (_get_fastq_files(x, read, fastq_dir) for x in ldetail_group)))))
        if len(fastq_inputs) > 0:
            files.append(_concat_bgzip_fastq(fastq_inputs, fastq_final_dir, read, ldetail_group[0]))
    if len(files) > 0:
        if _non_empty(files[0]):
            out = ldetail_group[0]
            out["files"] = files
            return out
def _prep_sample_and_config ( ldetail_group , fastq_dir , fastq_final_dir ) : files = [ ] print ( "->" , ldetail_group [ 0 ] [ "name" ] , len ( ldetail_group ) ) for read in [ "R1" , "R2" ] : fastq_inputs = sorted ( list ( set ( reduce ( operator . add , ( _get_fastq_files ( x , read , fastq_dir ) for x in ldetail_group ) ) ) ) ) if len ( fastq_inputs ) > 0 : files . append ( _concat_bgzip_fastq ( fastq_inputs , fastq_final_dir , read , ldetail_group [ 0 ] ) ) if len ( files ) > 0 : if _non_empty ( files [ 0 ] ) : out = ldetail_group [ 0 ] out [ "files" ] = files return out
Prepare output fastq file and configuration for a single sample.

    Only passes non-empty files through for processing.