def GetPointData(info):
reconstruction = Info.ReadReconstructionData(info)['shots']
reconstruction_data = []
latlon_data = []
frame_lst = []
f = open(Info.GetMatchLstFileName(info), 'r')
for line in f:
line = line[0:-1].split('\t')
frame_name = line[0]
pano_name = line[1]
try:
[x, y, z] = optical_center(reconstruction[frame_name])
except:
continue
lat = float(line[2])
lon = float(line[3])
frame_lst.append(line[0])
reconstruction_data.append([x, y])
latlon_data.append([lat, lon])
f.close()
reconstruction_data = np.array(reconstruction_data, dtype=np.float32)
latlon_data = np.array(latlon_data, dtype=np.float32)
#plt.figure()
#plt.subplot('111')
#plt.plot(reconstruction_data[:,0], reconstruction_data[:,1], 'o')
#plt.show()
return [frame_lst, reconstruction_data, latlon_data]
def import_template():
if os.path.isfile("./Resources/template.json"):
with open('./Resources/template.json') as data_file:
temp = json.load(data_file)
else:
temp = {}
id = visuals.get_text_input("Template ID",
"Please paste the ID of a sample file")
if not id:
exit()
sheets = Info.get_sheets(id)
temp['sheets'] = []
for title in sheets:
row_num = visuals.get_number_input(
"Header Row",
"What is the header row for sheet '{0}'".format(title))
row = Info.get_row(id, title, row_num)
rows = []
if row_num > 1:
rows = Info.get_first_col(id, title, row_num)
temp['sheets'].append({
'title': title,
'header_row': row_num,
'header_columns': row,
'rows': rows
})
Template.set_template(temp)
def moveSheet(title, index, spreadsheet=None):
id = Info.getSheetId(spreadsheet, title=title)
if id < 0:
return
if Info.getSheetIndex(spreadsheet, title) <= (int(index) - 1):
index = int(index)
else:
index = int(index) - 1
request = SHEET_SERVICE.spreadsheets().batchUpdate(
spreadsheetId=spreadsheet['id'],
body={
"requests": [{
"updateSheetProperties": {
"properties": {
"sheetId": id,
"index": index
},
"fields": "index"
}
}]
})
try:
request.execute()
RateLimiter.write_request()
except HttpError as err:
Log.err(spreadsheet, err, True)
def move_column(sheet_title, column, location, spreadsheet=None):
location = int(location)
index = Info.getColumnIndex(spreadsheet, sheet_title, column)
if index < 0:
return
if location > index:
location += 1
#print(location)
#print(index)
request = SHEET_SERVICE.spreadsheets().batchUpdate(
spreadsheetId=spreadsheet['id'],
body={
"requests": [{
"moveDimension": {
"source": {
"sheetId": Info.getSheetId(spreadsheet, sheet_title),
"dimension": "COLUMNS",
"startIndex": index,
"endIndex": index + 1
},
"destinationIndex": location
}
}]
})
try:
request.execute()
RateLimiter.write_request()
except HttpError as err:
Log.err(spreadsheet, err, True)
def delete_column(sheet_title, column, spreadsheet=None):
index = Info.getColumnIndex(spreadsheet, sheet_title, column)
if index < 0:
return
request = SHEET_SERVICE.spreadsheets().batchUpdate(
spreadsheetId=spreadsheet['id'],
body={
"requests": [
{
"deleteDimension": {
"range": {
"sheetId": Info.getSheetId(spreadsheet,
sheet_title),
"dimension": "COLUMNS",
"startIndex": index,
"endIndex": index + 1
}
}
},
]
})
try:
request.execute()
RateLimiter.write_request()
except HttpError as err:
Log.err(spreadsheet, err, True)
def RunRANSAC(ID):
print ID
info = Info.GetVideoInfo(ID)
subprocess.call('rm %s' % (Info.GetGCPFileName(info)), shell=True)
[frame_lst, reconstruct_set, latlon_set] = GetPointData(info)
if len(reconstruct_set) == 0 or len(latlon_set) == 0:
return
#try:
[M, model] = RANSAC_2D(reconstruct_set,
latlon_set,
iteration=1000,
tolerance=Info.Config.STEP_TEN_METER)
print M
#except:
# return
if not M is None and not model is None:
reconstruct = Info.ReadReconstructionData(info)['shots']
f = open(Info.GetGCPFileName(info), 'w')
frame_lst = sorted(reconstruct.keys())
for index, frame in enumerate(frame_lst):
[x, y, z] = optical_center(reconstruct[frame])
point = np.dot(M,
np.transpose(np.array([x, y, 1], dtype=np.float32)))
s = '%s\t%f\t%f\n' % (frame, point[0], point[1])
f.write(s)
f.close()
def delete_sheet():
title = visuals.get_app().getTabbedFrameSelectedTab("SheetFrame")
if visuals.get_app().yesNoBox(
"Confirm Delete",
"Are you sure you delete sheet '{0}'?".format(title)):
Bulk.deleteSheet(title)
Template.delete_sheet(title)
Info.deleteSheet(title)
visuals.edit_files()
def rename_sheet():
title = visuals.get_app().getTabbedFrameSelectedTab("SheetFrame")
new_title = visuals.get_app().textBox(
"Rename " + title,
"Please enter a new name for sheet '{0}':".format(title))
if new_title:
Bulk.renameSheet(title, new_title)
Template.rename_sheet(title, new_title)
Info.rename_sheet(title, new_title)
visuals.edit_files()
def delete_col():
sheet = visuals.get_app().getLabel("title").split("'")[1]
col = visuals.get_app().getOptionBox("cols")
if visuals.get_app().yesNoBox(
"Confirm Delete",
"Are you sure you delete column '{0}' from sheet '{1}'?".format(
col, sheet)):
Bulk.delete_column(sheet, col)
Template.delete_column(sheet, col)
Info.delete_columns(sheet)
visuals.get_app().changeOptionBox("cols", Template.get_columns(sheet),
0)
def rename_col():
sheet = visuals.get_app().getLabel("title").split("'")[1]
col = visuals.get_app().getOptionBox("cols")
new_col = visuals.get_app().textBox(
"Rename Column",
"Please enter a new name for column '{0}' in sheet '{1}':".format(
col, sheet))
if new_col:
Bulk.rename_column(sheet, col, new_col)
Template.rename_column(sheet, col, new_col)
Info.rename_column(sheet, col, new_col)
visuals.get_app().changeOptionBox("cols", Template.get_columns(sheet),
0)
def move_col():
sheet = visuals.get_app().getLabel("title").split("'")[1]
col = visuals.get_app().getOptionBox("cols")
loc = visuals.get_app().textBox(
"Move Column",
"Please enter the location (A, B, etc) to which you would like to move column "
"'{0}' in sheet '{1}':".format(col, sheet))
if loc:
index = Info.col_to_index(loc)
Bulk.move_column(sheet, col, index)
Template.move_column(sheet, col, index)
Info.delete_columns(sheet)
visuals.get_app().changeOptionBox("cols", Template.get_columns(sheet),
0)
def move_sheet():
title = visuals.get_app().getTabbedFrameSelectedTab("SheetFrame")
max = len(Template.get_sheets())
index = visuals.get_app().numberBox(
"New Index",
"Please pick a new index, min of 1, max of {0}:".format(max))
if index and 0 < index <= max:
Bulk.moveSheet(title, index)
Template.moveSheet(title, index)
Info.invalidate_indexes()
visuals.edit_files()
elif index and (index < 0 or index > max):
visuals.get_app().errorBox(
"Number Error",
"The index you entered was outside the acceptable range")
def __init__(self):
self.aPlot = AmmoniaPlot.AmmoniaPlot()
self.energy = Energy.Energy()
self.info = inf.Info()
self.total = False
self.sp = False
self.rAndM = False
self.omegas = False
self.sensibility = False
self.tofSensibility = False
self.kindOfSensibility = False
self.lmbdas = False
self.one = False
self.ext = ""
self.labelAlfa = [
r"P1 $V \rightarrow NH_3$", # P1
r"P2 $NH_3 \rightarrow V$", # P2
r"P3 $2V + O_2(g) \rightarrow 2O$", # P3
r"P4 $2O \rightarrow 2V + O_2(g)$", # P4
r"P5 $NH_3 + O \rightarrow NH_2 + OH$", # P5
r"P6 $NH_2 + OH \rightarrow NH + H_2O(g)$", # P6
r"P7 $NH + OH \rightarrow N + H_2O(g)$", # P7
r"P8 $NH + O \rightarrow N + OH$", # P8
r"P9 $N + O \rightarrow NO + V$", # P9 TOF
r"P10$N + N \rightarrow N_2(g)$", # P10 TOF
r"P11$NO \rightarrow V$", # P11
r"P12$N \rightarrow N$", # P12
r"P13$O \rightarrow O$", # P13
r"P14$OH \rightarrow OH$", # P14
r"P15$NH_2 + O \rightarrow NH + OH$", # P15
r"P16$NH + OH \rightarrow NH_2 + O$", # P16
r"P17$NH_2 + OH \rightarrow NH_3 + O$", # P17
r"P18$N + OH \rightarrow NH + O$"
] # P18
def MatchFunM(ID):
print ID
info = Info.GetVideoInfo(ID)
frame_sift_lst = [x for x in sorted(os.listdir(info['frame_sift_path'])) if x.endswith('.sift')]
pano_sift_lst = [x for x in sorted(os.listdir(info['pano_sift_path'])) if x.endswith('.sift')]
results = np.load('%s/fisher_results.npy'%info['pano_path'])
MM = []
for index, name in enumerate(frame_sift_lst):
Mi = []
frame_short_name = name.split('.')[0]
for i in range(0,results.shape[1]):
pano_name = pano_sift_lst[results[index, i]]
pano_short_name = pano_name.split('.')[0]
kp_pairs = lib_SIFTmatch.flann_match('%s/%s'%(info['frame_sift_path'],frame_short_name),
'%s/%s'%(info['pano_sift_path'],pano_short_name))
#print kp_pairs
try:
(mkp1, mkp2) = zip(*kp_pairs)
mkp1_pts = [ (x[0],x[1]) for x in mkp1 ]
mkp2_pts = [ (x[0],x[1]) for x in mkp2 ]
mkp1_pts = np.float32(mkp1_pts)
mkp2_pts = np.float32(mkp2_pts)
F, mask = cv2.findFundamentalMat(mkp1_pts,mkp2_pts,cv2.FM_RANSAC,20)
q_pts = mkp1_pts[mask.ravel()==1]
t_pts = mkp2_pts[mask.ravel()==1]
Mi.append(len(q_pts))
except:
Mi.append(0)
continue
MM.append(Mi)
np.save('%s/results_fundM'%info['pano_path'],MM)
def highlight_info(self):
if self.highlight_changed:
token_name = self.health_tokens[self.highlighted_index].type.name
self._highlight_info = '\n'.join(
Info.complete_info(("Token", token_name), 10))
self.highlight_changed = False
return self._highlight_info
def DownloadPano(ID):
info = Info.GetVideoInfo(ID)
print ID
circle = PanoProcess.GetCircleBound.GetCircleBound(info['location'])
#print circle
id_lst = []
start_time = time.time()
for loc in circle:
#print loc
try:
panoid = PanoProcess.GetPanoID(loc)
except:
continue
if panoid != None and not panoid in id_lst:
id_lst.append(panoid)
#a = time.time()
PanoProcess.GetPanoByID.GetPanoByID(panoid, info['pano_download_path'])
#print time.time() - a
pano_lst = [x for x in sorted(os.listdir(info['pano_download_path'])) if x.endswith('.jpg')]
f_name = '%s/pano_lst.txt'%info['pano_path']
f = open(f_name, 'w')
for img_name in pano_lst:
s = img_name + '\n'
f.write(s)
f.close()
end = time.time()
print '%s use %f minutes and total %d images'%(ID, (end-start_time)/60, len(id_lst))
def GetVideoTime(video_info):
ID = video_info[0][0]
CutFrame = video_info[0][1]
Name = video_info[1]
print ID, CutFrame
info = Info.GetVideoInfo(ID)
f_name = Info.Config.VIDEO_SOURCE_FOLDER + '/%d.mp4' % int(ID)
video = mve.VideoFileClip(f_name)
end_second = (CutFrame - 1) / video.fps
start_second = end_second - 25
frame_lst = [
x for x in sorted(os.listdir(info['frame_path'])) if x.endswith('.jpg')
]
if start_second >= 0:
f = open('%s/timeline.json' % info['match_path'], 'w')
t = start_second
inter = 0.2 # 0.25 s
d = {}
d['time'] = {}
for i in frame_lst:
#print i
d['time'][i] = t
t += inter
d['time'] = OrderedDict(sorted(d['time'].items()))
d['id'] = Name
f.write(json.dumps(d, indent=4) + '\n')
f.close()
return False
else:
return True
def computeMavgAndOmega(self, fileNumber):
p = self.info
name = "dataAePossibleFromList"#name = "dataAeAll"
inf = Info.Info()
inf.setParams()
#pTemp = inf.getInformationFromFile()
ratios = inf.getRatiosTotal()[p.minA:p.maxA]
possiblesFromList = np.loadtxt(fname=name+"{:03d}".format(fileNumber)+".txt")
time = np.array(possiblesFromList[:p.mMsr,0])
possiblesFromList = possiblesFromList[:,1:] # remove time
Mavg = np.zeros(shape=(p.mMsr,p.maxA-p.minA))
for i,a in enumerate(range(p.minA,p.maxA)): # iterate alfa
Mavg[:,i] = (possiblesFromList[:p.mMsr,a])/time/p.sizI/p.sizJ
if a == 2:
Mavg[:,i] = 2*Mavg[:,i]
totalRate = np.array(ratios.dot(np.transpose(Mavg)))#/time/p.sizI/p.sizJ
#totalRate = (totalRate+occupied)/time/p.sizI/p.sizJ
# define omegas
omega = np.zeros(shape=(p.mMsr,p.maxA-p.minA)) # [co2amount, alfa]
for i in range(0,p.mMsr):
omega[i,:] = Mavg[i,:] * ratios / totalRate[i]
#omega[i,:] = (Mavg[i,:]+occupied[i]) * ratios / totalRate[i]
return Mavg, omega, totalRate, ratios
def duplicateBlock():
# Duplicate the info.
print('---- TEST Duplicate -----')
Block_ID = request.json['Block_ID']
Address = request.json['Address']
Stored = request.json['Stored']
print(Block_ID)
print(Address)
print(Stored)
input = Info(Block_ID, Address, Stored, None)
newDataNode, block_data = dataNode.duplicate(input)
if newDataNode is not None:
requests.put(newDataNode + '/Block',
json={
'Block_ID': Block_ID,
'Address': Address,
'Stored': Stored,
'Data': block_data
})
return json.dumps({'success': True}), 200, {
'ContentType': 'application/json'
}
if newDataNode is None:
return json.dumps({
'success': False,
'Error_Message': 'Block Not Found'
}), 404, {
'ContentType': 'application/json'
}
def ExtractSift(ID):
print ID
info = Info.GetVideoInfo(ID)
frame_path = info['frame_path']
pano_download_path = info['pano_download_path']
pano_path = info['pano_path']
frame_sift_path = info['frame_sift_path']
pano_sift_path = info['pano_sift_path']
frame_lst_name = frame_path + '/list.txt'
pano_lst_name = pano_download_path + '/list.txt'
frame_sift_lst_name = pano_path + '/frame_sift_lst.txt'
pano_sift_lst_name = pano_path + '/pano_sift_lst.txt'
WriteImageList(frame_path, frame_lst_name)
WriteImageList(pano_download_path, pano_lst_name)
command_1 = 'VisualSFM siftgpu %s' % frame_lst_name
command_2 = 'VisualSFM siftgpu %s' % pano_lst_name
subprocess.call(command_1, shell=True)
subprocess.call(command_2, shell=True)
command_1 = 'mv %s/*.sift %s' % (frame_path, frame_sift_path)
command_2 = 'mv %s/*.sift %s' % (pano_download_path, pano_sift_path)
subprocess.call(command_1, shell=True)
subprocess.call(command_2, shell=True)
GetSiftList(frame_sift_path, frame_sift_lst_name)
GetSiftList(pano_sift_path, pano_sift_lst_name)
os.remove(frame_lst_name)
os.remove(pano_lst_name)
def storeBlock():
print('---- TEST Add -----')
Block_ID = request.json['Block_ID']
Address = request.json['Address']
Stored = request.json['Stored']
Data = request.json['Data']
print(Block_ID)
print(Address)
print(Stored)
#print(Data)
# create Info class input
input = Info(Block_ID, Address, Stored, Data)
# call the dataNode received method to store data.
# This should return another data node to send data.
otherDataNode, stored_data = dataNode.received(input)
report = dataNode.getBlockReport()
if otherDataNode is not None:
requests.put(otherDataNode + '/Block',
json={
'Block_ID': Block_ID,
'Address': Address,
'Stored': stored_data,
'Data': Data
})
requests.put(NAME_NODE_IP + '/BlockReport',
json={
'dn_ip': MY_IP,
'dn_block_report': report
})
return json.dumps({'success': True}), 200, {
'ContentType': 'application/json'
}
def Merge(ID):
print ID
info = Info.GetVideoInfo(ID)
f_name = info['match_path'] + '/' + name
f = open(f_name, 'r')
data = json.load(f)
f.close()
key_lst = sorted(data.keys())
pano_lst = []
for key in key_lst:
loc = data[key]
print key
try:
panoid = GSV.getIDbyloc(lat=loc[0], lon=loc[1])
except:
data.pop(key)
continue
#print panoid
if panoid is None:
data.pop(key)
continue
elif not panoid in pano_lst:
pano_lst.append(panoid)
try:
loc = GSV.getLocationbyID(panoid)
data[key] = [float(loc[0]), float(loc[1])]
except:
data.pop(key)
continue
else:
data.pop(key)
f = open(info['match_path'] + '/google_info.json', 'w')
f.write(json.dumps(data, indent=4))
f.close()
def CheckState(ID):
info = Info.GetVideoInfo(ID)
rigid_f = info['deep_match_path'] + '/rigid_distance_result.json'
affine_f = info['deep_match_path'] + '/affine_distance_result.json'
ourmethod_f = info['deep_match_path'] + '/distance_result.json'
func = os.path.isfile
if func(rigid_f) and func(affine_f) and func(ourmethod_f):
return True
return False
def CheckState(ID):
info = Info.GetVideoInfo(ID)
deep_f = info['deep_match_path'] + '/distance_result.json'
hog_f = info['hog_match_path'] + '/distance_result.json'
dsift_f = info['dsift_match_path'] + '/distance_result.json'
func = os.path.isfile
if func(deep_f) and func(hog_f) and func(dsift_f):
return True
return False
def Merge(ID):
info = Info.GetVideoInfo(ID)
f1_name = Info.Get3DRansacFileName(info)
subprocess.call('cp %s %s/ransac_3D_result_old.json' %
(f1_name, info['match_path']),
shell=True)
f2_name = info['match_path'] + '/timeline.json'
f1 = open(f1_name, 'r')
f2 = open(f2_name, 'r')
data = json.load(f1)
tim = json.load(f2)
data['id'] = tim['id']
data['time'] = tim['time']
f1.close()
f2.close()
f1 = open(f1_name, 'w')
f1.write(json.dumps(data, indent=4))
f1.close()
def join_service(appeui, appkey):
print("======================")
appnonce = Info.get_appnonce()
#appnonce = 1537598872
challenge = calculate_challenge.get_challenge(appeui, appkey, appnonce)
joindata = '{\"cmd\":\"join\",\"cmdseq\":%d,\"appeui\":\"%s\",\"appnonce\":%d,\"challenge\":\"%s\"}' % (
getcmdseq(), appeui, appnonce, challenge)
start_send(joindata)
print("======================")
def welcome():
pygame.init()
# 这是一个游戏的界面的设置
GOLD = 255, 255, 0
welcome_str_font = pygame.freetype.Font("Sofadione.ttf", 36)
welcome_info = Info.Info()
welcome_info.welcome_init()
while True:
welcome_info.screen.fill((0, 0, 0))
welcome_info.screen.blit(welcome_info.welcome_image, (0, 0))
welcome_str_font.render_to(welcome_info.screen, (80, 430),
"Player Vs Player",
fgcolor=GOLD,
size=welcome_info.welcome_str_rect1_size)
welcome_str_font.render_to(welcome_info.screen, (50, 480),
"Player Vs Computer",
fgcolor=GOLD,
size=welcome_info.welcome_str_rect2_size)
welcome_str_font.render_to(welcome_info.screen, (180, 530),
"QUIT",
fgcolor=GOLD,
size=welcome_info.welcome_str_rect3_size)
for event in pygame.event.get():
if event.type == pygame.MOUSEBUTTONDOWN and (
467 >= pygame.mouse.get_pos()[1] >= 427):
welcome_info.welcome_str_rect1_size = 30
elif event.type == pygame.MOUSEBUTTONUP and (
467 >= pygame.mouse.get_pos()[1] >= 427):
welcome_info.welcome_str_rect1_size = 40
welcome_info.mode = 4
names = choice.choice(welcome_info.mode)
return names
elif event.type == pygame.MOUSEBUTTONDOWN and (
516 >= pygame.mouse.get_pos()[1] >= 486):
welcome_info.welcome_str_rect2_size = 30
elif event.type == pygame.MOUSEBUTTONUP and (
516 >= pygame.mouse.get_pos()[1] >= 486):
welcome_info.welcome_str_rect2_size = 40
welcome_info.mode = 1
names = choice.choice(welcome_info.mode)
return names
elif event.type == pygame.MOUSEBUTTONDOWN and (
562 >= pygame.mouse.get_pos()[1] >= 522):
welcome_info.welcome_str_rect3_size = 30
elif event.type == pygame.MOUSEBUTTONUP and (
562 >= pygame.mouse.get_pos()[1] >= 522):
welcome_info.welcome_str_rect3_size = 40
sys.exit()
pygame.display.update()
def rename_column(sheet_title, old_column, new_column, spreadsheet=None):
index = Info.getColumnIndex(spreadsheet, sheet_title, old_column)
if index < 0:
return
col = Info.index_to_col(index)
values = [
[new_column],
]
body = {'values': values}
request = SHEET_SERVICE.spreadsheets().values().update(
spreadsheetId=spreadsheet['id'],
range="'{0}'!{1}1:{2}1".format(sheet_title, col, col),
valueInputOption="USER_ENTERED",
body=body)
try:
request.execute()
RateLimiter.write_request()
except HttpError as err:
Log.err(spreadsheet, err, True)
def __init__(self, w, p, process):
self.background = pygame.image.load('Assets/epitank.png')
self.players = p
self.bullets = Bullets.Bullets(w)
self.keys = [KEYUP, KEYDOWN]
self.DISPLAYSURF = w.getDisplay()
self.window = w
self.font = pygame.font.SysFont("monospace", 50)
self.wait = self.font.render("Waiting for players...", 2, (255, 0, 0))
self.IP_server = self.font.render(
"IP_SERVER : " + str(Info.getinfoserver()['IP_ADDRESS']), 2,
(255, 0, 0))
self.PORT_server = self.font.render(
"PORT_SERVER : " + str(Info.getinfoserver()['PORT']), 2,
(255, 0, 0))
self.tabpressed = False
self.pressed = False
self.lastkey = None
self.DISPLAYSURF.blit(self.background, (0, 0))
self.process = process
pygame.display.update()
def Label(ID):
info = Info.GetVideoInfo(ID)
frame_lst = [
x for x in sorted(os.listdir(info['frame_path'])) if x.endswith
]
i = 0
f = open(Info.GetMatchLstFileName(info), 'w')
while True:
f_name = info['frame_path'] + '/' + frame_lst[i]
command = 'eog %s' % f_name
subprocess.call(command, shell=True)
panoid = raw_input('Pano ID : ')
loc = GSV.getLocationbyID(panoid)
print loc
s = '%s\t%s\t%s\t%s\n' % (frame_lst[i], panoid, loc[0], loc[1])
f.write(s)
i += 10
if i >= 125:
f.close()
return
f.close()
def loadSinks(self):
self.sink_list.addSink(Info.init())
self.sink_list.addSink(Buttons.init())
self.sink_list.addSink(Menus.init())
self.sink_list.addSink(Images.init())
self.sink_list.addSink(Layouts.init())
self.sink_list.addSink(Lists.init())
self.sink_list.addSink(Popups.init())
self.sink_list.addSink(Tables.init())
self.sink_list.addSink(Text.init())
self.sink_list.addSink(Trees.init())
self.sink_list.addSink(Frames.init())
self.sink_list.addSink(Tabs.init())
def loadSinks(self):
#self.sink_list.addSink(DataTree.init())
#self.sink_list.addSink(RecipeSystemIFACE.init())
self.sink_list.addSink(ADViewerIFACE.init())
self.sink_list.addSink(RecipeViewer.init())
self.sink_list.addSink(FITSStoreFACE.init())
self.sink_list.addSink(DisplayIFACE.init())
self.sink_list.addSink(Info.init())
if False:
self.sink_list.addSink(Buttons.init())
self.sink_list.addSink(Menus.init())
self.sink_list.addSink(Images.init())
self.sink_list.addSink(Layouts.init())
self.sink_list.addSink(Lists.init())
self.sink_list.addSink(Popups.init())
self.sink_list.addSink(Tables.init())
self.sink_list.addSink(Text.init())
if False: #preserving originaly order
self.sink_list.addSink(Frames.init())
self.sink_list.addSink(Tabs.init())
def loadAlgorithms(self):
self.Algorithm_list.addAlgorithm(Info.init())
self.Algorithm_list.addAlgorithm(kMeans.init())
import http
import re
import time
import os
if __name__ == '__main__':
if Login.isLogin():
print("已登录")
else:
account = input("请输入你的用户名\n> ")
secret = input("请输入你的密码\n> ")
Login.login(secret, account)
index_page = Login.session.get('https://www.zhihu.com/#signin', headers=Login.headers) #主页
#index_page = Login.session.get('https://www.zhihu.com/explore', headers=Login.headers) #发现
"""
f = open('C:\\Users\\penguin\\Desktop\\dump.txt', 'wb+')
f.write(index_page.content)
f.close()
file = open('C:\\Users\\penguin\\Desktop\\dump.txt', 'r+', encoding= 'utf-8')
"""
file_name = str(time.localtime()[0]) + '.' + str(time.localtime()[1]) + '.' + str(time.localtime()[2])\
+ '.' + str(time.localtime()[3]) + '.' + str(time.localtime()[4]) + '.' + str(time.localtime()[5])
file_name += '_result.txt'
path = os.getcwd() + '\\' + file_name
file = open(path, 'w+', encoding='utf-8')
p = re.compile(r'<h2 class=".*"><a class=".*" target=".*" href=".*">.*</a></h2>')
for link in p.findall(index_page.text):
if link != None:
question_result = Info._question_info(link, file)
file.close()
new.tty = columns[6]
new.stat = columns[7]
new.start = columns[8]
new.time = columns[9]
new.command = columns[10]
psaux.append(new)
print ("There are %d active processes" % (len(psaux)))
users = []
infos = []
for process in psaux:
if(process.user not in users):
users.append(process.user)
info = Info()
info.user = process.user
info.cpu = float(process.cpu)
info.mem = float(process.mem)
infos.append(info)
else:
for info in infos:
if(info.user == process.user):
info.number += 1
info.cpu += float(process.cpu)
info.mem += float(process.mem)
break
print ("...and %d users using your memory.\n" % (len(users)))