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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def cmalign_from_file(cm_file_path, seqs, moltype=DNA, alignment_file_path=None,\ include_aln=False,return_stdout=False,params=None):
 """Uses cmalign to align seqs to alignment in cm_file_path. - cm_file_path: path to the file created by cmbuild, containing aligned sequences. This will be used to align sequences in seqs. - seqs: unaligned sequendes that are to be aligned to the sequences in cm_file. - moltype: cogent.core.moltype object. Must be DNA or RNA - alignment_file_path: path to stockholm alignment file used to create cm_file. __IMPORTANT__: This MUST be the same file used by cmbuild originally. Only need to pass in this file if include_aln=True. This helper function will NOT check if the alignment file is correct so you must use it correctly. - include_aln: Boolean to include sequences in aln_file in final alignment. (Default=False) - return_stdout: Boolean to return standard output from infernal. This includes alignment and structure bit scores and average probabilities for each sequence. (Default=False) """

    #NOTE: Must degap seqs or Infernal well seg fault!
    seqs = SequenceCollection(seqs,MolType=moltype).degap()

    #Create mapping between abbreviated IDs and full IDs
    int_map, int_keys = seqs.getIntMap()
    #Create SequenceCollection from int_map.
    int_map = SequenceCollection(int_map,MolType=moltype)

    if params is None:
        params = {}
    params.update({MOLTYPE_MAP[moltype]:True})

    app = Cmalign(InputHandler='_input_as_paths',WorkingDir='/tmp',\
        params=params)
    app.Parameters['--informat'].on('FASTA')

    #turn on --withali flag if True.
    if include_aln:
        if alignment_file_path is None:
            raise DataError, """Must have path to alignment file used to build CM if include_aln=True."""
        else:
            app.Parameters['--withali'].on(alignment_file_path)

    seqs_path = app._input_as_multiline_string(int_map.toFasta())
    paths = [cm_file_path,seqs_path]

    _, tmp_file = mkstemp(dir=app.WorkingDir)
    app.Parameters['-o'].on(tmp_file)
    res = app(paths)

    info, aligned, struct_string = \
        list(MinimalRfamParser(res['Alignment'].readlines(),\
            seq_constructor=SEQ_CONSTRUCTOR_MAP[moltype]))[0]


    #Make new dict mapping original IDs
    new_alignment={}
    for k,v in aligned.items():
        new_alignment[int_keys.get(k,k)]=v
    #Create an Alignment object from alignment dict
    new_alignment = Alignment(new_alignment,MolType=moltype)
    std_out = res['StdOut'].read()
    res.cleanUp()
    if return_stdout:
        return new_alignment, struct_string, std_out
    else:
        return new_alignment, struct_string