# Path: abkhazia/decode/_score.py
# def options():
# def format(score_opts, mkgraph_opts):
# def skip_scoring(score_opts):


import os
import abkhazia.utils as utils
import abkhazia.kaldi as kaldi
from abkhazia.decode import _score
        opt('lattice-beam', default=6.0, type=float,
            help='Lattice generation beam'))}


def decode(decoder, graph_dir):
    decoder.log.info('decoding and computing WER')

    # generate option string for decoding
    decode_opts = ' '.join(
        '--{} {}'.format(n, str(o))
        for n, o in decoder.decode_opts.items())

    target = os.path.join(decoder.recipe_dir, 'decode')
    if not os.path.isdir(target):
        os.makedirs(target)

    if decoder.fmllr_dir is not None:
        fmllr_dir = " --transform-dir " + decoder.fmllr_dir
    else:
        fmllr_dir = ""
    print(fmllr_dir)
    print('steps/decode.sh --nj {njobs} --cmd "{cmd}" '
          '--model {model} {decode_opts} {skip_scoring} '
          '--scoring-opts "{score_opts}" {graph} {data} '
          ' {decode} {fmllr_dir}'.format(
              njobs=decoder.njobs,
              cmd=utils.config.get('kaldi', 'decode-cmd'),
              # TODO .mdl or .alimdl ?
              model=os.path.join(decoder.am_dir, 'final.mdl'),
              decode_opts=decode_opts,

# Path: abkhazia/decode/_score.py
# def options():
# def format(score_opts, mkgraph_opts):
# def skip_scoring(score_opts):


# Path: abkhazia/decode/_decoder.py
import os
import abkhazia.utils as utils
import abkhazia.kaldi as kaldi
from abkhazia.decode import _score

        opt('lattice-beam', default=6.0, type=float,
            help='Lattice generation beam'))}


def decode(decoder, graph_dir):
    decoder.log.info('decoding and computing WER')

    # generate option string for decoding
    decode_opts = ' '.join(
        '--{} {}'.format(n, str(o))
        for n, o in decoder.decode_opts.items())

    target = os.path.join(decoder.recipe_dir, 'decode')
    if not os.path.isdir(target):
        os.makedirs(target)

    if decoder.fmllr_dir is not None:
        fmllr_dir = " --transform-dir " + decoder.fmllr_dir
    else:
        fmllr_dir = ""
    print(fmllr_dir)
    print('steps/decode.sh --nj {njobs} --cmd "{cmd}" '
          '--model {model} {decode_opts} {skip_scoring} '
          '--scoring-opts "{score_opts}" {graph} {data} '
          ' {decode} {fmllr_dir}'.format(
              njobs=decoder.njobs,
              cmd=utils.config.get('kaldi', 'decode-cmd'),
              # TODO .mdl or .alimdl ?
              model=os.path.join(decoder.am_dir, 'final.mdl'),
              decode_opts=decode_opts,

              skip_scoring=_score.skip_scoring(decoder.score_opts),