def one_conf((conf, v)):
def print_conf(conf, values, is_exists=False):
ars_list = '#'.join([v.strip() for v in values]).replace(",", "0x32") \
if conf.method != "none" and conf.name != cst.label_name else ""
print ','.join(
map(str, [
conf.name, conf.method,
conf.filter_threds if conf.filter_threds else "", conf.status,
ars_list if not is_exists else conf.ars
]))
return ','.join(
map(str, [
conf.name, conf.method,
conf.filter_threds if conf.filter_threds else "", conf.status,
ars_list if not is_exists else conf.ars
]))
if len(conf.ars) > 0:
print "conf.ars already exists", conf.ars
return print_conf(conf, [], True)
key, value, frac = cst.parse_method(
conf.method) # number freq 5 key, value, frac
if key != "none":
data_method = globals().get("process_{key}".format(**{"key": key}))
rs = data_method(conf, value, frac, v)
else:
rs = []
return print_conf(conf, rs)
def read_conf(self):
with codecs.open(self.config, 'r', 'utf8') as f:
for n, l in enumerate(f.readlines()):
if not l.startswith("#"): # 过掉注释
n += 1
print l
cf = Conf(*l.split(","))
cf.arrs_list = gen_cates(cst.parse_method(cf.method)[0], cf.ars)
self.fea_conf[cf.name] = cf
self.fea_number_dict[cf.name] = n
self.num_fea_dict = {self.fea_number_dict[x]: x for x in self.fea_number_dict}
self.fea_number_value_list = {x: list() for x in self.fea_number_dict}
def read_conf(self):
with codecs.open(self.config, 'r', 'utf8') as f:
for n, l in enumerate(f.readlines()):
if not l.startswith("#"): # 过掉注释
n += 1
cf = Conf(*l.split(","))
cf.method_arr_list = gen_arr_list_by_method_name(cst.parse_method(cf.method)[0], cf.args)
self.name_conf_dict[cf.name] = cf
self.name_id_dict[cf.name] = n
self.id_name_dict = {self.name_id_dict[x]: x for x in self.name_id_dict}
# 初始化特征的value list
self.name_values_dict = {x: list() for x in self.name_id_dict}
def read_conf(self):
with codecs.open(self.config, 'r', 'utf8') as f:
for n, l in enumerate(f.readlines()):
if not l.startswith("#"): # 过掉注释
n += 1
print l
cf = Conf(*l.split(","))
cf.arrs_list = gen_cates(
cst.parse_method(cf.method)[0], cf.ars)
self.fea_conf[cf.name] = cf
self.fea_number_dict[cf.name] = n
self.num_fea_dict = {
self.fea_number_dict[x]: x
for x in self.fea_number_dict
}
self.fea_number_value_list = {x: list() for x in self.fea_number_dict}
def one_conf(conf):
def print_conf(conf, values):
with codecs.open(FEAS_RECONSTRUCT_FILE, 'a', 'utf8') as f:
f.write(
','.join(map(str, [conf.name, conf.method, "#".join(conf.filter_threds) if conf.filter_threds else "",conf.status,
'#'.join([v.strip() for v in values]).replace(",", "0x32")])) + '\n')
print(','.join(map(str, [conf.name, conf.method, conf.status,"#".join(conf.filter_threds) if conf.filter_threds else "",
'#'.join([v.strip() for v in values]).replace(",", "0x32")])))
if conf.method == "none" or conf.name == cst.LABEL:
print_conf(conf, [])
return
key, value, frac = cst.parse_method(conf.method)
data_method = globals().get("process_{key}".format(**{"key": key}))
rs = data_method(conf, value,frac)
print_conf(conf, rs)
def normal(fc, fea_value, fea):
return FEA.__getattribute__(cst.parse_method(fc.method)[0])(fc.name, fea_value)
def normal(fc, fea_value, fea):
return FEA.__getattribute__(cst.parse_method(fc.method)[0])(fc.name,
fea_value)
def pre_cal(self):
# precalculate
self.arrs_list = gen_cates(cst.parse_method(self.method)[0], self.ars)
def pre_cal(self):
# precalculate
self.arrs_list = gen_cates(cst.parse_method(self.method)[0], self.ars)
def pre_cal(self):
# precalculate
self.method_arr_list = gen_arr_list_by_method_name(cst.parse_method(self.method)[0], self.args)