def main():
ctrl = True # 标记是否退出系统
while (ctrl):
menu.menu()
option = input("请选择：")
option_str = re.sub('\D', '', option) # 提取数字
if option_str in ['0', '1', '2', '3', '4', '5', '6', '7']:
option_int = int(option_str)
if option_int == 0:
print("您已退出学生管理系统！")
ctrl = False
elif option_int == 1:
insert.insert()
elif option_int == 2:
search.search()
elif option_int == 3:
delete.delete()
elif option_int == 4:
modify.modify()
elif option_int == 5:
sort.sort()
elif option_int == 6:
total.total()
elif option_int == 7:
show.show()
def edit_marks(class_name):
print('all info compile module')
a = class_name[0]
b = class_name[1]
b = b.upper()
file_name = b + '_' + str(a)
file_name1 = file_name + '.db'
con = _sqlite3.connect(file_name1)
csr = con.cursor()
try:
a = 'select * from ' + file_name + ';'
csr.execute(a)
x = csr.fetchall()
print(x)
con.commit()
con.close()
a = str(input('input if you want to add(a) or modify(m) values '))
if (a.lower() == 'a'):
add.add_new(file_name)
elif (a.lower() == 'm'):
modify.modify(file_name)
else:
print('wrong input ')
except:
file_name = file_name.rstrip(';')
add.add(file_name)
def speak_w_command(self, add, command):
print(add, command)
s = self.speak
ss = self.scripts
if command == "right":
s.Skip("SENTENCE", 1)
if self.speak_line < len(ss) - 1:
self.speak_line += 1
if self.is_train == "t":
print(ss[self.speak_line],
modify.modify(ss[self.speak_line]))
s.Speak(modify.modify(ss[self.speak_line]), 3)
#s.Speak("Hello World", 3)
elif command == "left":
s.Skip("SENTENCE", 1)
if self.speak_line > 1:
self.speak_line -= 1
if self.is_train == "t":
print(ss[self.speak_line])
s.Speak(modify.modify(ss[self.speak_line]), 3)
elif command == "surprised":
s.Skip("SENTENCE", 1)
if 0 <= self.speak_line and self.speak_line < len(ss) - 1:
if self.is_train == "t":
print(ss[self.speak_line])
s.Speak(modify.modify(ss[self.speak_line]), 3)
def saving():
jsonData = request.get_json(cache=False)
user=jsonData["userName"]
type = "Goal"
if request.method =='GET':
getData = access(graph, type, user, user)
elif request.method=='POST':
postData = [jsonData["userName"], jsonData["savingsName"], jsonData["amount"], jsonData["downpay"],jsonData["term"],jsonData["description"]]
insert(graph,type,postData)
elif request.method=='PUT':
current=["currentItem"]
mod = jsonData["modItem"]
modify(graph,type,user,current,mod)
elif request.method=='DELETE':
delItem=jsonData["delItem"]
delete(graph,type,user,delItem)
def __init__(self, remoteShell, domainAdmin="admin", domain=None):
self.remoteShell = remoteShell
self.uptoolPath = "/opt/quest/bin/uptool"
self.domainAdmin = domainAdmin
self.defaultDomain = domain
self.container = container.container(self.remoteShell, self.domainAdmin, self.defaultDomain)
self.create = upCreate.create(self.remoteShell, self.domainAdmin, self.defaultDomain)
self.delete = upDelete.delete(self.remoteShell, self.domainAdmin, self.defaultDomain)
self.depopulate = depopulate.depopulate(self.remoteShell, self.domainAdmin, self.defaultDomain)
self.list = upList.list(self.remoteShell, self.domainAdmin, self.defaultDomain)
self.membership = membership.membership(self.remoteShell, self.domainAdmin, self.defaultDomain)
self.migrate = migrate.migrate(self.remoteShell, self.domainAdmin, self.defaultDomain)
self.modify = modify.modify(self.remoteShell, self.domainAdmin, self.defaultDomain)
self.populate = populate.populate(self.remoteShell, self.domainAdmin, self.defaultDomain)
isinstance(self.container, container.container)
isinstance(self.create, upCreate.create)
isinstance(self.delete, upDelete.delete)
isinstance(self.depopulate, depopulate.depopulate)
isinstance(self.list, upList.list)
isinstance(self.membership, membership.membership)
isinstance(self.migrate, migrate.migrate)
isinstance(self.modify, modify.modify)
isinstance(self.populate, populate.populate)
def transaction():
jsonData = request.get_json(cache=False)
user=jsonData["userName"]
type = "Transaction"
if request.method =='GET':
getData = access(graph, type, user, user)
elif request.method=='POST':
postData = [jsonData["userName"], jsonData["transName"], jsonData["transDate"], jsonData["transLocation"],jsonData["transAmount"]]
insert(graph,type,postData)
elif request.method=='PUT':
current=["currentItem"]
mod = jsonData["modItem"]
modify(graph,type,user,current,mod)
elif request.method=='DELETE':
delItem=jsonData["delItem"]
delete(graph,type,user,delItem)
def site(domain):
queue = deque()
try:
soup = BeautifulSoup(
user_agent('http://www.baidu.com/s?wd=site:' + domain),
'html.parser')
except Exception as e:
print(e)
return
allDomainRecorders = soup.find_all(['a'])
print('解析百度站点查询 “' + domain + '” 成功')
for item in allDomainRecorders:
classLabel = item.get('class')
if not classLabel:
continue
if 'c-showurl' not in classLabel:
continue
domainRecorder = item.string
if domainRecorder is None:
continue
pattern = re.compile(r'/ $')
domainRecorder = pattern.sub('', item.string)
print('获取百度收录域名 “' + domainRecorder + '” 成功')
queue.append(domainRecorder)
if not queue.__contains__(domain):
return
if not queue.__contains__('www.' + domain):
return
print('此域名 "' + domain + '" 符合百度收录要求，已保存')
fp = open("./Results/BaiDu_Results.txt", "a", encoding="utf-8")
fp.write(domain)
fp.write(u"\n")
fp.close()
current = gloVar.current
modify(current + 1)
import time import cmh import modify,download mon = time.localtime().tm_mon day = time.localtime().tm_mday page_list = [] url_list = [] title_list = [] pop_list = [] index_list = [] y = 0 cmh.get_article_url(page_list, url_list, title_list, pop_list, index_list) for x in url_list: catch = title_list[y] index =str(index_list[y]) title_list[y] =catch[1:len(catch)-1] +"_"+str(index_list[y]) try: soup = download.download(x,title_list[y]) modify.modify(soup,title_list[y]) y +=1 except: pass
#svr = svm.SVR()
###svr = RandomForestRegressor(n_estimators=400)
##GRB = GradientBoostingRegressor()
#grid = GridSearchCV(svr,parameter_range)
##clf = linear_model.SGDRegressor()
##clf.fit(samples_train,responses_train)
##results = clf.predict(samples_test)
##grid.fit (samples_train[0], responses_train[:,0])
Mo =[]
Mo_tem = []
for t in range (0,10):
locals()['clf' + str(0)] = svm.SVR(C=ind[0],kernel='rbf', epsilon = ind[1],gamma =0.001)
X_train, X_test, y_train, y_test = cross_validation.train_test_split(samples[0], responses[:,0], test_size=0.2, random_state=0)
locals()['clf' + str(0)].fit (X_train,y_train[:,0])
results = locals()['clf' + str(0)].predict(X_test)
mo = modify(results, y_test[:,0])
Mo_tem = np.append(Mo_tem,mo)
Mo = np.mean(Mo_tem)
Mo_tem =[]
#a = np.abs(responses_test[:,0]-results)
#b = responses_test[:,0]-results
#sum_ = 0
#num_ = 0
#for i in range(results.shape[0]):
# if (responses_test[:,0][i] != 0):
# sum_ = sum_ + a[i]/responses_test[:,0][i]
# num_ = num_ + 1
#print 'Dist'+str(0)+'eva: %f' %(sum_/num_)
for i in range(1,66):
## for R in range(0,KmeanPOI[size_index].shape[0]):
Mo = []
Mos = []
Mo_tem = []
for t in range(0, 1):
locals()['clf' + str(0)] = svm.SVR(C=ind[0],
kernel='rbf',
epsilon=ind[1],
gamma=0.001)
# locals()['clf' + str(0)] = RandomForestRegressor(n_estimators = 1500, max_features=0.5,min_samples_leaf= 50, n_jobs = - 1, verbose=1)
X_train, X_test, y_train, y_test = cross_validation.train_test_split(
samples[0], Responses[:, 0], test_size=0.2, random_state=t)
locals()['clf' + str(0)].fit(X_train, y_train)
results = locals()['clf' + str(0)].predict(X_test)
Response = y_test
print 'dis' + str(0 + 1) + 'rounds:' + str(t)
mo = modify(results, y_test)
Mo_tem = np.append(Mo_tem, mo)
Mo = np.mean(Mo_tem)
Mo_tem = []
Mos = np.append(Mos, Mo)
results_m = [max(i + Mo, 1) for i in results]
for i in range(1, 66):
for e in range(0, 1):
locals()['clf' + str(i)] = svm.SVR(C=ind[0],
kernel='rbf',
epsilon=ind[1],
gamma=0.001)
# locals()['clf' + str(i)] = RandomForestRegressor(n_estimators = 1500, max_features=0.5,min_samples_leaf= 50, n_jobs = - 1, verbose=1)
X_train, X_test, y_train, y_test = cross_validation.train_test_split(
samples[i], Responses[:, i], test_size=0.2, random_state=e)
from modify import modify
FILE_NAME = 'mobile.dbs'
def init():
if not os.path.isfile(FILE_NAME):
data = []
with open(FILE_NAME, 'wb') as fp:
pickle.dump(data, fp, protocol=0)
print(FILE_NAME + " created")
if __name__ == '__main__':
init()
while True:
# os.system("clear")
print("1.Add\n2.Delete\n3.Modify\n4.Search\n5.Display\n6.Exit")
choice = int(input("Enter your choice:"))
if choice == 1:
addMobile()
elif choice == 2:
delete()
elif choice == 3:
modify()
elif choice == 4:
search.search()
elif choice == 5:
display()
else:
break
def speak_scripts():
global cut_loop
global input_word2
th = None
speak = wincl.Dispatch("SAPI.SpVoice")
speak.Rate = -3
speak.Priority = 1 #0, 1, 2
speak.SynchronousSpeakTimeout = 0
speak_line = -1
lines = setup.read_files(is_train, username, num)
#speak.SpeakCompleteEvent = print_some()
#print(speak.SpeakCompleteEvent)
#print(speak.WaitForSingleObject(speak.SpeakCompleteEvent, -1))
while True:
#print("input_word2", input_word2 == "")
if input_word2 == "":
input_word = input("""
コマンドを選んでください
r->同じ行を繰り返して読む
u->次の行を読み上げる
d->前の行を読み上げる
>""")
else:
input_word = input_word2
input_word2 = ""
#if len(input_word) > 1:
# input_word = input_word[0]
if len(input_word) > 0 and input_word[0] == "u":
speak.Skip("SENTENCE", 1)
#speak.Pause()
if speak_line < len(lines) - 1:
speak_line += 1
if is_train == "t":
print(lines[speak_line])
speak.Speak(modify.modify(lines[speak_line]), 3)
elif len(input_word) > 0 and input_word[0] == "d":
speak.Skip("SENTENCE", 1)
if speak_line > 0:
speak_line -= 1
if is_train == "t":
print(lines[speak_line])
speak.Speak(modify.modify(lines[speak_line]), 3)
elif len(input_word) > 0 and input_word[0] == "r":
speak.Skip("SENTENCE", 1)
if 0 <= speak_line and speak_line < len(lines) - 1:
if is_train == "t":
print(lines[speak_line])
speak.Speak(modify.modify(lines[speak_line]), 3)
elif len(input_word) > 0 and input_word[0] == "h":
print(datetime.now().strftime("%Y/%m/%d %H:%M:%S.%f'"))
f = open(username + str(num) + 'test.txt','a')
f.write(datetime.now().strftime("%Y/%m/%d %H:%M:%S") + '\n')
f.close()
elif input_word == "w":
speak.Skip("SENTENCE", 1)
if speak_line < len(lines) - 2:
speak_line += 1
words = modify.modify(lines[speak_line]).split(" ")
#input_word2 = ""
howmanytimes_speak = 0
howmany_thread = 0
for word in words:
#for cw in modify.change_words:
# if word in cw:
# ws = word.split(cw)
speak.Speak(word, 3)
while speak.WaitUntilDone(0) == False:
is_start_reading = True
if howmanytimes_speak == 0 and howmany_thread == 0:
th = multi()
howmany_thread += 1
cut_loop = False
else:
howmanytimes_speak += 1
print(word)
if howmanytimes_speak == len(words):
print("\007")
is_start_reading = False
cut_loop = True
#event.set()
#event.clear()
#th.join()
elif input_word == "s":
sys.exit()
elif input_word == "a":
speak.Rate += 1
elif input_word == "m":
speak.Rate -= 1
elif input_word in ["1", "2", "3", "4", "5", "6", "7", "8", "9"]:
speak.Rate = int(input_word) - 6
else:
print(input_word)
##clf = linear_model.SGDRegressor()
##clf.fit(samples_train,responses_train)
##results = clf.predict(samples_test)
##grid.fit (samples_train[0], responses_train[:,0])
Mo = []
Mo_tem = []
for t in range(0, 10):
locals()['clf' + str(0)] = svm.SVR(C=ind[0],
kernel='rbf',
epsilon=ind[1],
gamma=0.001)
X_train, X_test, y_train, y_test = cross_validation.train_test_split(
samples[0], responses[:, 0], test_size=0.2, random_state=0)
locals()['clf' + str(0)].fit(X_train, y_train[:, 0])
results = locals()['clf' + str(0)].predict(X_test)
mo = modify(results, y_test[:, 0])
Mo_tem = np.append(Mo_tem, mo)
Mo = np.mean(Mo_tem)
Mo_tem = []
#a = np.abs(responses_test[:,0]-results)
#b = responses_test[:,0]-results
#sum_ = 0
#num_ = 0
#for i in range(results.shape[0]):
# if (responses_test[:,0][i] != 0):
# sum_ = sum_ + a[i]/responses_test[:,0][i]
# num_ = num_ + 1
#print 'Dist'+str(0)+'eva: %f' %(sum_/num_)
for i in range(1, 66):
## for R in range(0,KmeanPOI[size_index].shape[0]):
def run(self, key, cyIO):
# Display Active Python Process Threads.
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
if eval(cyIO.getInfo("verbose")) == True:
t_array = str(
list(map(lambda x: x.getName(), threading.enumerate())))
mirror.text("\r\nActive Threads = {")
mirror.text(" " + t_array)
mirror.text("} \r\n")
tasks.queue.clear()
# Bypass Sending Header Data.
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
if eval(cyIO.getInfo("noheader")) == False:
# Connected. Send Device Header to Data Stream.
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
if eval(cyIO.getInfo("status")) == True and eval(
cyIO.getInfo("noweb")) == False:
cyIO.sendInfo("device")
cyIO.sendInfo("serial")
cyIO.sendInfo("keymodel")
cyIO.sendInfo("config")
cyIO.sendInfo("datamode")
cyIO.sendData(
1, "CyKITv2:::Info:::delimiter:::" +
str(ord(cyIO.getInfo("delimiter"))))
self.generic = cyIO.getInfo("generic")
# Update Local Variables from ControllerIO Dictionary.
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
for index in self.configFlags:
setattr(self, index, eval(cyIO.getInfo(index)))
# EPOC+ Mode. (Direct USB Connection)
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
if key == "":
while self.running:
time.sleep(0)
if eval(cyIO.getInfo("status")) != True:
time.sleep(0)
self.running = False
continue
return
AES_key = key
# Create AES(ECB) Cipher.
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
try:
print(key)
AES_key = bytes(bytearray(key))
cipher = AES.new(AES_key, AES.MODE_ECB)
except Exception as exception:
mirror.text(
" eegThread.run() : E1. Failed to Create AES Cipher ::: " +
(str(exception)))
while self.running:
time.sleep(0)
if self.blankdata == True:
try:
if self.blank_data[self.KeyModel] == None:
mirror.text(
" ¯¯¯¯ No 'blankdata' for this model. Disabling 'blankdata' Mode."
)
self.blankdata = False
return
data = self.blank_data[self.KeyModel]
join_data = ''.join(map(chr, data))
time.sleep(0) # Slow it down.
encrypted_blank_cipher = b"0" + (cipher.encrypt(
bytes(join_data, 'latin-1')))
except Exception as e:
mirror.text(
" ¯¯¯¯ eegThread.run() Failed to Create Blank Cipher. Disabling 'blankdata' Mode."
)
mirror.text(" =E.4: " + str(e))
self.blankdata = False
return
if eeg_driver == "pyusb":
tasks.put(encrypted_blank_cipher[1:])
if eeg_driver == "pyusb" and self.blankdata == False:
print(self.device)
task = self.device.read(0x82, 32, 100)
print('2')
tasks.put(task.tostring())
sleep_time = time.time()
dataLoss = 0
pre_deep_learning = []
while not tasks.empty() and self.running == True:
time.sleep(0)
if eeg_driver == "pyusb":
if self.blankdata == False:
try:
task = self.device.read(0x82, 32, 1000)
tasks.put(task.tostring())
except Exception as e:
if str(e.errno) != "10060":
mirror.text("Error.eeg() = " + str(e.errno))
exc_type, ex, tb = sys.exc_info()
imported_tb_info = traceback.extract_tb(tb)[-1]
line_number = imported_tb_info[1]
print_format = "{}: Exception in line: {}, message: {}"
if 'dataLoss' not in locals():
dataLoss = 0
dataLoss += 1
if dataLoss > 50:
mirror.text(
"\r\n ░░░ Device Interference or Turned Off ░░░ \r\n"
)
if cyIO.isRecording() == True:
cyIO.stopRecord()
else:
time.sleep(0)
tasks.put(encrypted_blank_cipher[1:])
# Update Run-Time Config Options.
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
self.format = int(cyIO.getInfo("format"))
self.datamode = int(cyIO.getInfo("datamode"))
self.delimiter = cyIO.getInfo("delimiter")
self.baseline = eval(cyIO.getInfo("baselinemode"))
try:
counter_data = ""
packet_data = ""
filter_data = ""
if eeg_driver == "pyusb":
task = tasks.get()
data = cipher.decrypt(task)
if self.outputraw == True:
mirror.text(str(list(task)))
self.getSeconds = int(time.time() % 60)
# Epoc+
# ¯¯¯¯¯¯¯¯
if self.KeyModel == 6 or self.KeyModel == 5:
if str(data[1]) == "16":
if self.datamode == 2:
continue
if str(data[1]) == "32":
self.format = 1
if self.datamode == 1:
continue
if self.nocounter == True:
counter_data = ""
else:
counter_data = str(data[0]) + self.delimiter + str(
data[1]) + self.delimiter
# ~Format 0: (Default) (Decode to Floating Point)
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
if self.format < 1:
packet_data_list = []
for i in range(2, 16, 2):
packet_data = packet_data + str(
self.convertEPOC_PLUS(
str(data[i]), str(
data[i + 1]))) + self.delimiter
packet_data_list.append(
float(
self.convertEPOC_PLUS(
str(data[i]), str(data[i + 1]))))
for i in range(18, len(data), 2):
packet_data = packet_data + str(
self.convertEPOC_PLUS(
str(data[i]), str(
data[i + 1]))) + self.delimiter
packet_data_list.append(
float(
self.convertEPOC_PLUS(
str(data[i]), str(data[i + 1]))))
packet_data = packet_data[:-len(self.delimiter)]
#mirror.text(str(packet_data))
pre_deep_learning.append(packet_data_list)
if (len(pre_deep_learning) >= 512):
pre_deep_learning_array = np.array(
pre_deep_learning[-256:])
pre_deep_learning_array = np.reshape(
pre_deep_learning_array, [256, -1])
filterarray = np.array(
pre_deep_learning[-512:])
filterarray = np.reshape(
filterarray, [512, -1])
pre_deep_learning = pre_deep_learning[-512:]
global pre_filter
pre_filter = filterarray
global npeeg
npeeg = pre_deep_learning_array
modify(pre_filter)
modify2(npeeg)
self.baseline = False
# Averages Signal Data and Sends to Client.
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
if self.baseline == True:
if (int(time.time() % 60) - self.baseSeconds
) == 1: # Baseline Every Second.
#mirror.text("BASELINE ¯¯¯¯¯¯¯ " + str(self.baseline))
try:
if 'baseline_values' in locals():
baseline_last = baseline_values
baseline_values = [
float(x) for x in
packet_data.split(self.delimiter)
]
if baseline_values != None and 'baseline_last' in locals(
):
baseline_values = list(
map(operator.add,
baseline_last,
baseline_values))
set_values = ([2] *
len(baseline_values))
baseline_values = list(
map(operator.truediv,
baseline_values,
set_values))
# Re-order values.
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
# self.epocOrder = [2,3,0,1,4,5,6,7,8,9,12,13,10,11]
#baseline_new = [baseline_values[i] for i in self.epocOrder]
cyIO.setBaseline(baseline_values)
send_baseline = [
0.0, float(str(data[1]))
] + baseline_values
send_baseline = str(send_baseline)
send_baseline = send_baseline[1:]
send_baseline = send_baseline[:(
len(send_baseline) - 1)]
if self.outputdata == True:
mirror.text(
"Python Baseline:::")
mirror.text(str(send_baseline))
cyIO.sendData(
1, "CyKITv2:::Baseline:::" +
str(send_baseline))
except Exception as e:
exc_type, ex, tb = sys.exc_info()
imported_tb_info = traceback.extract_tb(
tb)[-1]
line_number = imported_tb_info[1]
print_format = "{}: Exception in line: {}, message: {}"
mirror.text(
" ¯¯¯¯ eegThread.run() Error Creating Baseline Data."
)
mirror.text(" =E.7: " +
print_format.format(
exc_type.__name__,
line_number, ex))
self.baseSeconds = int(time.time() % 60)
# Contact Quality. RMS Value.
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
#if self.quality == True:
#baseline_values = map(math.sqrt, baseline_values)
if self.nobattery == False:
packet_data = packet_data + self.delimiter + str(
data[16]) + str(self.delimiter) + str(
data[17])
if self.outputdata == True:
pass
# print(packet_data)
#mirror.text(str(counter_data + packet_data))
try:
if self.filter == True and self.format == 0:
if 'baseline_values' in locals():
mirror.text(str("Baseline:"))
mirror.text(str(packet_data))
if self.nocounter == False:
split_packet = packet_data.split(
self.delimiter)
split_packet = split_packet[:-2]
else:
split_packet = packet_data.split(
self.delimiter)
convert_packet = [
float(x) for x in split_packet
]
filter_data = map(operator.sub,
baseline_values,
convert_packet)
mirror.text(str("subtract::"))
mirror.text(str(convert_packet))
packet_data = str(filter_data)
packet_data = packet_data[1:]
packet_data = packet_data[:(len(packet_data) -
1)]
except OSError as e:
error_info = str(e.errno)
if error_info == "10035":
self.time_delay += .001
time.sleep(self.time_delay)
continue
if error_info == 9 or error_info == 10053 or error_info == 10035 or error_info == 10054:
mirror.text("\r\n Connection Closing.\r\n")
tasks.queue.clear()
if self.generic == True:
cyIO.onClose("0")
else:
cyIO.onClose("1")
if eeg_driver == "pywinusb":
self.device.close()
cyIO.stopRecord()
continue
mirror.text(
" ¯¯¯¯ eegThread.run() Error creating OpenVibe Data and or Filtering Data."
)
except Exception as e:
exc_type, ex, tb = sys.exc_info()
imported_tb_info = traceback.extract_tb(tb)[-1]
line_number = imported_tb_info[1]
print_format = "{}: Exception in line: {}, message: {}"
mirror.text(" ¯¯¯¯ eegThread.run() Error Formatting Data.")
mirror.text(" =E.8: " + print_format.format(
exc_type.__name__, line_number, ex))
# So Long. Merci for the <)))<.
# ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
print('stopped!!!!!!!!!!!!!!!!!!!!!!!!!!')
RT = responses[0:590]
responses_test = np.array(RT)
ind=[7,1]
Mo =[]
Mos = []
Mo_tem = []
for t in range (0,1):
locals()['clf' + str(0)] = svm.SVR(C=ind[0],kernel='rbf', epsilon = ind[1],gamma =0.001)
# locals()['clf' + str(0)] = RandomForestRegressor(n_estimators = 1500, max_features=0.5,min_samples_leaf= 50, n_jobs = - 1, verbose=1)
X_train, X_test, y_train, y_test = cross_validation.train_test_split(samples[0], Responses[:,0], test_size=0.2, random_state=t)
locals()['clf' + str(0)].fit (X_train,y_train)
results = locals()['clf' + str(0)].predict(X_test)
Response = y_test
print 'dis'+str(0+1)+'rounds:'+str(t)
mo = modify(results, y_test)
Mo_tem = np.append(Mo_tem,mo)
Mo = np.mean(Mo_tem)
Mo_tem =[]
Mos = np.append(Mos,Mo)
results_m = [max(i+Mo,1) for i in results]
for i in range(1,66):
for e in range(0,1):
locals()['clf' + str(i)] = svm.SVR(C=ind[0],kernel='rbf', epsilon = ind[1],gamma =0.001)
# locals()['clf' + str(i)] = RandomForestRegressor(n_estimators = 1500, max_features=0.5,min_samples_leaf= 50, n_jobs = - 1, verbose=1)
X_train, X_test, y_train, y_test = cross_validation.train_test_split(samples[i], Responses[:,i], test_size=0.2, random_state=e)
locals()['clf' + str(i)].fit (X_train,y_train)
locals()['result' + str(i)]= locals()['clf' + str(i)].predict(X_test)
print 'dis'+str(i+1)+'rounds:'+str(e)
mo = modify(locals()['result' + str(i)],y_test)
auth = lg_authority.AuthRoot()
auth__doc = "The object that serves authentication pages"
@cherrypy.expose
def index(self):
output = ""
output += getIndexContent()
output = getPage(output, '')
return output
if __name__ == '__main__':
#cherrypy.config.update({'server.socket_port':index_port})
cherrypy.config.update(cherry_settings)
index = index()
index.upload = upload.upload()
index.manage = manage.manage()
index.modify = modify.modify()
index.download = download.download()
index.learn = learn.learn()
index.support = support.support()
index.visualize = visualize.visualize()
#index.dashboard = dashboard.dashboard()
cherrypy.quickstart(index)
#tcpSerSock.close()
break
time.sleep(2)
if (choice == '2'):
x = temp[1]
y = temp[2]
x = int(x)
y = int(y)
duty_s = temp[3]
duty_s = int(duty_s)
modify.modify(duty_s, x, y)
break
if (choice == '3'):
duty_s = temp[1]
duty_s = int(duty_s)
maintain.maintain(duty_s)
except KeyboardInterrupt:
ldr.close()
GPIO.cleanup()
tcpSerSock.close()