def init_state_basic(TableFile, RobustMatchFile):
random.seed()
log.print_log_message(['load_tables', TableFile])
NamespaceEtc = tables.load_data(TableFile)
(Namespace, Domain, L2,
L1) = (NamespaceEtc['namespace'], NamespaceEtc['domain'],
NamespaceEtc['l2'], NamespaceEtc['l1'])
log.print_log_message([
'load_tables_succeeded', {
'namespace': Namespace,
'domain': Domain,
'l2': L2,
'l1': L1
}
])
log.print_log_message(['load_robust_matching_tables', RobustMatchFile])
lgm_tables.load_data(RobustMatchFile, Namespace)
log.print_log_message(
['load_robust_matching_tables_succeeded', RobustMatchFile, Namespace])
#add_regularised_keys_to_sent_atom_namespace_lf_l1_text(Namespace, Domain)
State = initial_state()
process_call_message(
['set_namespace_domain_and_language', Namespace, Domain, L1], State)
import_course_info_into_state(State)
#State['l2'] = L2
return State
def init_state(TableFile, RobustMatchFile):
random.seed()
log.print_log_message(['load_tables', TableFile])
NamespaceEtc = tables.load_data(TableFile)
(Namespace, Domain, L2,
L1) = (NamespaceEtc['namespace'], NamespaceEtc['domain'],
NamespaceEtc['l2'], NamespaceEtc['l1'])
log.print_log_message([
'load_tables_succeeded', {
'namespace': Namespace,
'domain': Domain,
'l2': L2,
'l1': L1
}
])
log.print_log_message(['load_robust_matching_tables', RobustMatchFile])
lgm_tables.load_data(RobustMatchFile, Namespace)
log.print_log_message(
['load_robust_matching_tables_succeeded', RobustMatchFile, Namespace])
#add_regularised_keys_to_sent_atom_namespace_lf_l1_text(Namespace, Domain)
State = initial_state()
process_call_message(
['set_namespace_domain_and_language', Namespace, Domain, L1], State)
import_course_info_into_state(State)
#State['l2'] = L2
FirstLesson = get_available_lessons(State)['lessons'][0]
AbstractAction = process_call_message(['set_lesson', FirstLesson], State)
InitialAction = output_manager.abstract_call_action_to_action(
AbstractAction, L1, L2)
if 'text_to_repeat' in InitialAction:
State['text_to_repeat'] = InitialAction['text_to_repeat']
output_manager.prepend_invocation_name_to_action_text(InitialAction, State)
DontUnderstandAction = output_manager.dont_understand_action(L1, L2, State)
log.print_log_message([
'initialised', {
'state': State,
'initial_action': InitialAction,
'dont_understand_action': DontUnderstandAction
}
])
return (State, InitialAction, DontUnderstandAction)
def load_babeldr_english():
lgm_tables.load_data(babeldr_eng2_parser_tables, 'babeldr_eng2')
lgm_tables.load_translation_file_data(babeldr_eng2_translation_tables,
'babeldr_eng2')
lgm_tables.load_tts_file_data(babeldr_eng2_tts_tables, 'babeldr_eng2')
def load_babeldr_small():
lgm_tables.load_data(
'c:/cygwin64/home/speech/medslt-code/trunk/medslt2/fre/generatedfiles/babeldr_tmp_python_tables_small.data.gz',
'babeldr')
def load_babeldr_french():
lgm_tables.load_data(babeldr_parser_tables, 'babeldr')
lgm_tables.load_translation_file_data(babeldr_translation_tables,
'babeldr')
lgm_tables.load_tts_file_data(babeldr_audio_tables, 'babeldr')