def run_sampler(dec, c, beam_width=1, stochastic=False, use_unk=False):
 (sample, score) = gen_sample(dec['tparams'], dec['f_init'], dec['f_next'], c.reshape(1, dec['options']['dimctx']), dec['options'], trng=dec['trng'], k=beam_width, maxlen=1000, stochastic=stochastic, use_unk=use_unk)
 text = []
 if stochastic:
  sample = [sample]
 for c in sample:
  text.append(' '.join([dec['word_idict'][w] for w in c[:(-1)]]))
 return text

def run_sampler ( dec , c , beam_width = 1 , stochastic = False , use_unk = False ) : ( sample , score ) = gen_sample ( dec [ 'tparams' ] , dec [ 'f_init' ] , dec [ 'f_next' ] , c . reshape ( 1 , dec [ 'options' ] [ 'dimctx' ] ) , dec [ 'options' ] , trng = dec [ 'trng' ] , k = beam_width , maxlen = 1000 , stochastic = stochastic , use_unk = use_unk ) text = [ ] if stochastic : sample = [ sample ] for c in sample : text . append ( ' ' . join ( [ dec [ 'word_idict' ] [ w ] for w in c [ : ( - 1 ) ] ] ) ) return text
generate text conditioned on c .