def getfold():
#预测十折验证
for i in range(10):
#输入数据
rawdata = getdata("./train_cv/fold_" + str(i) + "/train.csv")
#处理数据
n, feature, label = process(rawdata)
pfeature, plabel = padding(n, feature, label)
#训练模型
model = trainmodel((pfeature, plabel))
#预测测试集
testdata = getdata("./train_cv/fold_" + str(i) + "/test.csv")
tn, tfeature, tlabel = process(testdata)
predict = evaluate(model, (tfeature, tlabel))
#输出预测结果
fle = open("./pred/pred" + str(i) + ".out", "w")
for i in range(tn):
fle.write(str(predict[i][1]) + '\n')
fle.close()
#计算分数
getscore(predict, tlabel)
def getfold():
#预测十折验证
for i in range(0, 10):
#输入数据
rawdata = getdata("./train_cv/fold_" + str(i) + "/train.csv")
#处理数据
n, feature, label = process(rawdata)
pfeature, plabel = padding(n, feature, label)
#训练
model = trainmodel((pfeature, plabel))
#预测dev集
#testdata = getdata("./train_cv/fold_"+str(i)+"/dev.csv")
#预测测试集
testdata = getdata("./train_cv/fold_" + str(i) + "/test.csv")
tn, tfeature, tlabel = process(testdata)
#概率预测prob
predict = evaluate_prob(model, (tfeature, tlabel))
#输出到文件
fle = open("./pred/pred" + str(i) + ".out", "w")
for i in range(tn):
fle.write(str(tlabel[i]) + ' ' + str(predict[i][1]) + '\n')
fle.close()
#输出概率预测prob
nr, np = getscore(predict, tlabel)
def get(self):
title = 'contacts'
subtitle = getdata(title,'NGOData').custom['subtitle'].text
content = getdata(title,'NGOData').custom['content'].text
self.response.content_type='text/html'
self.response.out.write(template.render('template/contacts.html',{
'page_title':title.title(),
'page_subtitle':subtitle,
'page_content':content, }))
def getfold():
#pretrain
'''
rawdata = getdata("AID1706_binarized_sars.csv")
n,feature,label = process ( rawdata )
pfeature,plabel = padding ( n , feature , label )
print ( "prepared" )
premodel = trainmodel ( (pfeature,plabel) )
torch.save ( premodel , "premodel.mod" )
'''
for i in range(0, 10):
rawdata = getdata("./train_cv/fold_" + str(i) + "/train.csv")
#rawdata2 = getdata("./train_cv/fold_"+str(i)+"/dev.csv")
#rawdata = [rawdata[0]+rawdata2[0],rawdata[1]+rawdata2[1]]
n, feature, label = process(rawdata)
pfeature, plabel = padding(n, feature, label)
# prt = pfeature.astype(np.int32)
# fle = open("pred.out","w")
# for i in prt:
# fle.write(str(i)+'\n')
# fle.close ()
# print ( "finish" )
model = trainmodel((pfeature, plabel))
#model = conttrain ( (pfeature,plabel))
#预测训练集
#predict = evaluate ( model , (feature,label) )
#print ( predict )
#fle = open ( "pred.out" , "w" )
#for i in range (n):
# fle.write(str(label[i])+' '+str(predict[i][1])+'\n')
#fle.close ()
#预测测试集
#testdata = getdata("./train_cv/fold_"+str(i)+"/dev.csv")
testdata = getdata("./train_cv/fold_" + str(i) + "/test.csv")
tn, tfeature, tlabel = process(testdata)
predict = evaluate(model, (tfeature, tlabel))
#print ( predict )
fle = open("./pred/pred" + str(i) + ".out", "w")
for i in range(tn):
fle.write(str(tlabel[i]) + ' ' + str(predict[i][1]) + '\n')
#for i in range (tn):
# fle.write(str(predict[i][1])+'\n')
fle.close()
getscore(predict, tlabel)
def get(self):
title = 'programs'
subtitle = getdata(title, 'NGOData').custom['subtitle'].text
content = getdata(title, 'NGOData').custom['content'].text
self.response.content_type = 'text/html'
self.response.out.write(
template.render(
'template/standard.html', {
'page_title': title.title(),
'page_subtitle': subtitle,
'page_content': content,
}))
def get(self):
list = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep']
list2 = []
for title in list:
list2.append(int(getdata(title, 'funds').custom['amount'].text))
max_y = 10000
chart = SimpleLineChart(200, 125, y_range=[0, max_y])
chart.add_data([2000, 3000, 5000, 1200, 5000, 4000, 1000, 3000, 5900])
# Set the line colour to blue
chart.set_colours(['0000FF'])
# Set the vertical stripes
chart.fill_linear_stripes(Chart.CHART, 0, 'CCCCCC', 0.2, 'FFFFFF', 0.2)
# Set the horizontal dotted lines
chart.set_grid(0, 25, 5, 5)
# The Y axis labels contains 0 to 100 skipping every 25, but remove the
# first number because it's obvious and gets in the way of the first X
# label.
left_axis = range(0, max_y + 1, 25)
left_axis[0] = ''
chart.set_axis_labels(Axis.LEFT, left_axis)
# X axis labels
chart.set_axis_labels(Axis.BOTTOM, list)
url2 = chart.get_url()
self.response.out.write(
template.render('template/donate.html', {
'url2': url2,
}))
def sync():
user_collection = mongo.db.users
user_collection.drop()
repo_collection = mongo.db.repos
repo_collection.drop()
data = getdata()
user_list = list()
repo_list = list()
for user in data:
res = requests.get(get_user_api(user['name']))
user_list.append(res.json())
for repo in user['repos']:
res = requests.get(get_repo_api(user['name'], repo))
print(res.json())
repo_list.append(res.json())
user_collection.insert_many(user_list)
repo_collection.insert_many(repo_list)
return jsonify({'message': 'sync ok'})
def get(self):
list = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep']
list2 = []
for title in list:
list2.append( int(getdata(title,'funds').custom['amount'].text))
max_y = 10000
chart = SimpleLineChart(200, 125, y_range=[0, max_y])
chart.add_data([2000,3000,5000,1200,5000,4000,1000,3000,5900])
# Set the line colour to blue
chart.set_colours(['0000FF'])
# Set the vertical stripes
chart.fill_linear_stripes(Chart.CHART, 0, 'CCCCCC', 0.2, 'FFFFFF', 0.2)
# Set the horizontal dotted lines
chart.set_grid(0, 25, 5, 5)
# The Y axis labels contains 0 to 100 skipping every 25, but remove the
# first number because it's obvious and gets in the way of the first X
# label.
left_axis = range(0, max_y + 1, 25)
left_axis[0] = ''
chart.set_axis_labels(Axis.LEFT, left_axis)
# X axis labels
chart.set_axis_labels(Axis.BOTTOM, list)
url2 = chart.get_url()
self.response.out.write(template.render('template/donate.html',{
'url2' :url2, }))
def get(self):
username = '******'
gd_client = gdata.photos.service.PhotosService()
albums = gd_client.GetUserFeed(user=username)
for album in albums.entry:
if album.title.text == 'test':
photos = gd_client.GetFeed(
'/data/feed/api/user/%s/albumid/%s?kind=photo' % (
username, album.gphoto_id.text))
title = 'about'
subtitle = getdata(title,'NGOData').custom['subtitle'].text
content = getdata(title,'NGOData').custom['content'].text
self.response.content_type='text/html'
self.response.out.write(template.render('template/index.html',{
'photolist':photos.entry,
'page_title':title.title(),
'page_subtitle':subtitle,
'page_content':content,
}))
def getans():
rawdata = getdata("train.csv")
n, feature, label = process(rawdata)
pfeature, plabel = padding(n, feature, label)
model = trainmodel((pfeature, plabel))
testdata = getdata_nolabel("test.csv")
tn, tfeature, tlabel = process(testdata)
predict = evaluate(model, (tfeature, tlabel))
fle = open("myans.out", "w")
for i in predict:
fle.write(str(i[1]) + '\n')
fle.close()
def commstest():
#print("comms")
cport=myapp.ui.SerialList.currentText()
cdevice=myapp.ui.CommsList.currentText()
data=getdata(cport,cdevice,"TS","V")
if int(data[0])==-1 & int(data[1])==-1 & int(data[2])==-1:
myapp.ui.CommsResult.setText("Communication with " + cdevice + " failed")
myapp.ui.VTestResult.setText("")
else:
myapp.ui.CommsResult.setText("Communication with " + cdevice + " succeeded")
myapp.ui.VTestResult.setText("V1=" + str(data[0]) + "\nV2=" + str(data[1]) + "\nV3=" + str(data[0]))
def __init__(self,theta=40.0,store=False,verbose=False,TINY=1e-20):
self.verbose=verbose
self.theta = theta
self.store=store
self.TINY = TINY
self.errors = []
self.internal_db = os.path.abspath(os.path.realpath(__file__))\
.replace('__init__.pyc','').replace('__init__.py','')
if verbose: print self.internal_db
self.db = getdata(self.internal_db)
self.data = self.db.copy()
self.nw = self.db['refractive'].shape
def get(self):
username = '******'
gd_client = gdata.photos.service.PhotosService()
albums = gd_client.GetUserFeed(user=username)
for album in albums.entry:
if album.title.text == 'test':
photos = gd_client.GetFeed(
'/data/feed/api/user/%s/albumid/%s?kind=photo' %
(username, album.gphoto_id.text))
title = 'about'
subtitle = getdata(title, 'NGOData').custom['subtitle'].text
content = getdata(title, 'NGOData').custom['content'].text
self.response.content_type = 'text/html'
self.response.out.write(
template.render(
'template/index.html', {
'photolist': photos.entry,
'page_title': title.title(),
'page_subtitle': subtitle,
'page_content': content,
}))
def index():
return jsonify(getdata())
def __init__(self):
get = getdata()
mal = data_filter()
t = Threat()
if __name__ == "__main__":
try:
API_KEY = 'YOUR GOOGLE MAPS API HERE'
print('''
####### ##### #######
# # # # ###### # # ##### #### # ##### ## #### ###### #####
# # # # # # # # # # # # # # # # # # #
##### ## # ##### ##### # #### # # #### ##### # # # # # # ##### # #
# ## # # # # ##### # # ##### ###### # # #####
# # # # # # # # # # # # # # # # # # # #
####### # # # # ##### # #### # # # # # #### ###### # #
''')
gps, time = getdata()
l = len(gps)
latitude_list = []
longitude_list = []
date_true = []
for i in range(0, l):
if gps[i][0] and gps[i][1]:
latitude_list.append(gps[i][0])
longitude_list.append(gps[i][1])
date_true.append(time[i])
x = []
for i in range(0, len(latitude_list)):
x.append([latitude_list[i], longitude_list[i], date_true[i]])
if (x + 1) % 50 == 0:
time.sleep(100)
#print datos[x]['City']
ISSname = datos[x]['ISS-ID'].split('-E-')
debug = 1
if debug == 1:
try:
datos[x].lat, datos[x].lon, datos[x].nlat, datos[x].nlon, datos[
x].MODEL, datos[x].date, datos[x].hour, datos[x].alt, datos[
x].sunazt, datos[x].sunelv, datos[x].shu, datos[
x].lens, datos[x].ap, datos[
x].ISO, city, country, datos[x].NASA, datos[
x].URL, datos[x].small, datos[x].large, datos[
x].Thumbnail, datos[
x].coordimage = getdata(
ISSname[0], ISSname[1])
except IndexError:
print 'IndexError:'
print ISSname
except ValueError:
print 'ValueError:'
print ISSname
except urllib2.HTTPError:
print 'urllib2.HTTPError:'
print ISSname
except:
print "otras"
else:
#print str(ISSname)+' '+ datos[x]['City']
#
