def quantity_ques(analysis):
"""
This function verbalises a question about quantity
Input=class sentence Output=sentence
"""
#init
phrase = []
#We have to memorise the verb
verb = other_functions.list_rebuilding(analysis.sv[0].vrb_main[0])
if analysis.sv:
#First case : aim is the subject with verb be
if analysis.sv[0].d_obj == [] and (verb[0] == 'be' or (len(verb) > 1 and verb[1] == 'be')):
phrase = statement(analysis)
return ['how', 'much'] + phrase[1:len(phrase) - 1] + ['?']
#Second case : aim is the subject without verb be
elif not analysis.sv[0].d_obj:
return ['how', 'much'] + y_o_question(analysis)
#Third case : as yes no question without the direct complement
else:
subject = element_rebuilding.nom_struc_rebuilding(analysis.sn)
#Same processing with yes no question
phrase = element_rebuilding.vrb_ques_rebuilding(analysis.sv[0].vrb_tense, analysis.sv[0].vrb_main,
analysis.sv[0].vrb_adv, analysis.sn, analysis.sv[0].state,
analysis.aim)
for x in analysis.sv[0].i_cmpl:
phrase = phrase + element_rebuilding.indirect_compl_rebuilding(x)
phrase = phrase + analysis.sv[0].advrb
flag = 0
for j in ResourcePool().verb_need_to:
if analysis.sv[0].vrb_main[0] == j:
flag = 1
for k in analysis.sv[0].sv_sec:
phrase = element_rebuilding.scd_vrb_rebuilding(k, phrase, flag)
for s in analysis.sv[0].vrb_sub_sentence:
phrase = phrase + sub_process(s)
#processing of the state
if analysis.sv[0].state == VerbalGroup.negative:
phrase = phrase[0:2] + subject + phrase[2:]
else:
phrase = [phrase[0]] + subject + phrase[1:]
return ['how', 'much'] + analysis.sv[0].d_obj[0].noun + phrase + ['?']
def statement(analysis):
"""
verbalises a statment
Input=class sentence Output=sentence
"""
#Recovering the subject
phrase = element_rebuilding.nom_struc_rebuilding(analysis.sn)
if not phrase:
return []
if analysis.sv:
#Recovering the end of the sentence
phrase = element_rebuilding.end_statement_rebuilding(phrase, analysis.sv, analysis.sn, analysis.data_type,
analysis.aim)
#Recovering subsentences
for s in analysis.sv[0].vrb_sub_sentence:
phrase = phrase + sub_process(s)
#Eliminate redundancies if there are
phrase = other_functions.eliminate_redundancy(phrase)
#If it is a relative form
if analysis.data_type == RELATIVE or analysis.data_type.startswith(SUBSENTENCE):
if phrase[len(phrase) - 1][len(phrase[len(phrase) - 1]) - 1] != ',':
phrase[len(phrase) - 1] += ','
return phrase
if analysis.data_type == W_QUESTION:
return phrase + ['?']
#To take of all not useless comma
while phrase[len(phrase) - 1][len(phrase[len(phrase) - 1]) - 1] == ',':
phrase[len(phrase) - 1] = phrase[len(phrase) - 1][:len(phrase[len(phrase) - 1]) - 1]
return phrase + ['.']
def y_o_question(analysis):
"""
This function verbalises an yes or no question
Input=class sentence Output=sentence
"""
#init
phrase = []
#Recovering the subject
subject = element_rebuilding.nom_struc_rebuilding(analysis.sn)
if analysis.sv:
#Recovering the end of the sentence
phrase = element_rebuilding.end_question_rebuilding(phrase, analysis.sv, analysis.sn, analysis.aim)
#We need special processing to find the position of the subject
if analysis.sv[0].state == VerbalGroup.negative:
phrase = phrase[0:2] + subject + phrase[2:]
else:
phrase = [phrase[0]] + subject + phrase[1:]
#Recovering subsentences
for s in analysis.sv[0].vrb_sub_sentence:
phrase = phrase + sub_process(s)
else:
phrase = subject
#Eliminate redundancies if there are
phrase = other_functions.eliminate_redundancy(phrase)
#If it is a question about the origin
if analysis.aim == 'origin':
return phrase + ['from'] + ['?']
return phrase + ['?']
