Use count_reads on multiple files and store result in dict.

    Untested since does the same thing as count reads.

def multiple_files_count_reads_in_windows(bed_files, args):
    # type: (Iterable[str], Namespace) -> OrderedDict[str, List[pd.DataFrame]]
    """Use count_reads on multiple files and store result in dict.

    Untested since does the same thing as count reads."""

    bed_windows = OrderedDict() # type: OrderedDict[str, List[pd.DataFrame]]
    for bed_file in bed_files:
        logging.info("Binning " + bed_file)
        if ".bedpe" in bed_file:
            chromosome_dfs = count_reads_in_windows_paired_end(bed_file, args)
        else:
            chromosome_dfs = count_reads_in_windows(bed_file, args)
        bed_windows[bed_file] = chromosome_dfs

    return bed_windows