def data_analizer(current_file, current_patterns):
patterns = []
number = 0
list_of_selections = []
for file_name in files:
if file_name+".dat" != current_file:
try:
_file = open(file_name+".dat", "r").readlines()
analizer = Analizer(_file)
analizer.find_patterns()
patterns.append([file_name, analizer])
except:
pass
for next_file in patterns:
matches = next_file[1].best_match(current_patterns)
match_filter = []
for match in matches:
if float(match[0]) < float(match[1]):
match_filter.append([match[1], match[0], len(match[2])])
last = None
dict_list = []
match_dict = []
for match in sorted(match_filter, key=itemgetter(0)):
if last != match[0]:
if last!= None:
match_dict.append({last:dict_list})
last = match[0]
dict_list = []
dict_list.append([match[1], match[2]])
selection = []
for match in reversed(match_dict):
print match
selection.append(best_option(match))
allow_time = real_duration
allow_time = allow_time-(allow_time*.15)
filter_selection = []
for element in selection:
if element[0] > allow_time:
filter_selection.append(element)
small_time = 0
for sel in sorted(filter_selection, key=itemgetter(1)):
if sel[2]!=0:
if small_time == 0:
small_time = sel
if small_time[1] > sel[1]:
small_time = sel
list_of_selections.append([next_file[0],small_time])
best_selection = None
small_time = None
for i in range(len(list_of_selections)):
if small_time == None:
small_time = list_of_selections[i][1][1]
if small_time < list_of_selections[i][1][1]:
small_time = list_of_selections[i][1][1]
best_selection = list_of_selections[i][0]
return best_selection
def next_track(current_file):
_file = open(current_file+".dat", "r").readlines()
a = Analizer(_file)
patterns = a.find_patterns()
data = data_analizer(current_file+".dat", patterns)
if data != None:
print data
print "from analizer\n"
else:
print files[random.randint(0, len(files)-1)]
print "from random\n"
