nilq/small-python-stack · Datasets at Hugging Face

content stringlengths 5 1.05M
# -- coding: utf-8 -- import LINETCR from LINETCR.lib.curve.ttypes import * from datetime import datetime import time, random, sys, ast, re, os, io, json, subprocess, threading, string, codecs, requests, ctypes, urllib, urllib2, urllib3, wikipedia, tempfile from bs4 import BeautifulSoup from urllib import urlopen import requests from io import StringIO from threading import Thread from gtts import gTTS from googletrans import Translator cl = LINETCR.LINE() #cl.login(qr=True) cl.login(token='Erkv7l2j2mSASxwVFoZ8.sGpL7MhXv/v78cRSmT7doa.eTfxddkYkHiMYLCcObtFkIBTOUDFr4XWr//CjYbDAP0=') # BOT PUBLIK cl.loginResult() print "❂➣ [BOT PUBLIK BERHASIL LOGIN]" reload(sys) sys.setdefaultencoding('utf-8') #album = None #image_path = 'tmp/tmp.jpg' helpMessage =""" ============================ 🤖 BOT KEY 🤖 ============================ 01. Apakah [text] = Kr_ajaib 02. Kapan [text] = Tanya bot 03. Dosa @ [by tag] 04. Pahala @ [by tag] 05. Gcreator 06. Bot spam on [jml] [text] 07. Search image: [text] 08. Instagram: [username] 09. Wikipedia: [search words] 10. Playstore: [search words] 11. Anime: [search words] 12. Lirik: [artis] [judul] 13. Music: [artis] [judul] 14. youtube: [text] 15. youtube search: [text] 16. Mister/Mr (cek bot) 17. Dubbing [text] 18. Name: [tag member] 19. Bio: [tag member] 20. Info: [tag member] 21. Getinfo: [tag member] 22. Getprofile [tag member] 23. Getcontact: [tag member] 24. Getpp [tag member] 25. Gethome [tag member] 26. Getimage group 27. Set sider 28. Cek sider 29. setview 30. viewseen 31. Tagall/Mentionall 32. Gift 33. Gift1 34. Gift2 35. Gift3 36. Line clone 37. Key translate 38. love [Siti love adi] 39. sider on/off (auto) ============================= My creator: line.me//ti/p/~tak.dapat.tidur ============================= """ socmedMessage =""" ╔═════════════ ║ SOSMED KEY ║╔════════════ ║╠❂͜͡🌟➣Wikipedia: [тeхт] ║╠❂͜͡🌟➣Instagram: [username] ║╠❂͜͡🌟➣Image: [тeхт] ║╠❂͜͡🌟➣Lirik: [тeхт] ║╠❂͜͡🌟➣Lineid: [тeхт] ║╠❂͜͡🌟➣Music: [artis] [judul] ║╠❂͜͡🌟➣тιмe [тιмe] ║╠❂͜͡🌟➣ѕay [тeхт] ║╚════════════ ╚═════════════ """ translateMessage =""" ╔═════════════ ║ TRANSLATE KEY ║╔════════════ ║╠☔тr-ιd = ιndoneѕιa ║╠☔тr-мy = мyanмar ║╠☔тr-en = englιѕн ║╠☔тr-тн = тнaιland ║╠☔тr-ja = japaneѕe ║╠☔тr-мѕ = мalayѕιa ║╠☔тr-ιт = ιтalιan ║╠☔тr-тr = тυrĸιѕн ║╠☔тr-aғ = aғrιĸaanѕ ║╠☔тr-ѕq = alвanιan ║╠☔тr-aм = aмнarιc ║╠☔тr-ar = araвιc ║╠☔тr-нy = arмenιan ║╚════════════ ╚═════════════ """ botMessage =""" ╔═════════════ ║ BOT KEY ║╔════════════ ║╠❂͜͡⚡➣Set sider > Cek sider ║╠❂͜͡⚡➣Tes / Sepi ║╠❂͜͡⚡➣Reѕpon ║╠❂͜͡⚡➣Speed / Sp ║╠❂͜͡⚡➣Grup list ║╠❂͜͡⚡➣Tagall / Mentionall ║╚════════════ ╚═════════════ """ settingMessage ="""Empty""" #╔═════════════ #║ SETTING KEY #║╔════════════ #║╠❂͜͡🌟➣ѕeт #║╠❂͜͡🌟➣тag on/oғғ #║╠❂͜͡🌟➣aυтolιĸe on/oғғ #║╠❂͜͡🌟➣add on/oғғ #║╠❂͜͡🌟➣joιn on/oғғ #║╠❂͜͡🌟➣ѕнare on/oғғ #║╠❂͜͡🌟➣coммenт on/oғғ #║╚════════════ #╚═════════════ #""" giftMessage =""" ╔═════════════ ║ GIFT KEY ║╔════════════ ║╠❂͜͡🌟➣gιғт ║╠❂͜͡🌟➣gιғт 1 ║╠❂͜͡🌟➣gιғт 2 ║╠❂͜͡🌟➣gιғт 3 ║╚════════════ ╚═════════════ """ stealMessage =""" ╔═════════════ ║ STEAL KEY ║╔════════════ ║╠❂͜͡🌟➣geтnaмe @ ║╠❂͜͡🌟➣geтвιo @ ║╠❂͜͡🌟➣geтιnғo @ ║╠❂͜͡🌟➣geтpp @ ║╠❂͜͡🌟➣geтмιd @ ║╠❂͜͡🌟➣geтgroυp ║╠❂͜͡🌟➣papιмage ║╠❂͜͡🌟➣papvιdeo ║╚════════════ ╚═════════════ """ KAC=[cl] mid = cl.getProfile().mid Bots=[mid] owner=["u3cfa63811888b3a880bc4f348a95b23b","u0040a6dfc0a274f29899cccfc1c9b457",mid] admin=["u3cfa63811888b3a880bc4f348a95b23b","u0040a6dfc0a274f29899cccfc1c9b457",mid] baby=[""]#chery/barby/ranita creator=["u3cfa63811888b3a880bc4f348a95b23b","u0040a6dfc0a274f29899cccfc1c9b457"] owner=["u3cfa63811888b3a880bc4f348a95b23b","u0040a6dfc0a274f29899cccfc1c9b457"] wait = { 'contact':False, 'autoJoin':True, 'autoCancel':{"on":True,"members":1}, 'leaveRoom':False, 'autoAdd':False, 'timeline':True, 'displayName':True, "Timeline":True, "message":"""Thanks for add me (^_^)\n\nContact My cerator:\nline.me/ti/p/~tak.dapat.tidur""", "lang":"JP", "comment":"Invite to your group ヘ(^_^)ヘ\n\nContact My cerator:\nline.me/ti/p/~tak.dapat.tidur", "commentOn":True, "commentBlack":{}, "wblack":False, "dblack":False, "clock":False, "blacklist":{}, "wblacklist":False, "dblacklist":False, "auto":True, "tag":True, "pap":True, "steal":{}, 'pap':{}, 'invite':{}, "spam":{}, "gift":{}, "likeOn":True, "alwayRead":True, "detectMention":True, "detectMention2":True, 'point':False, 'sidermem':False, "mid":{}, "sendMessage":True, "Mimic":False, "mimic":False, "winvite":True, "winvite2":False, "Wc":True, "Lv":True, "atjointicket":True, "Sider":{}, "members":1, "Simi":{}, "BlGroup":{} } settings = { "simiSimi":{} } cctv = { "cyduk":{}, "point":{}, "sidermem":{} } wait2 = { 'readPoint':{}, 'readMember':{}, 'setTime':{}, 'ROM':{} } mimic = { "copy":False, "copy2":False, "status":False, "target":{} } setTime = {} setTime = wait2['setTime'] contact = cl.getProfile() mybackup = cl.getProfile() mybackup.displayName = contact.displayName mybackup.statusMessage = contact.statusMessage mybackup.pictureStatus = contact.pictureStatus contact = cl.getProfile() backup = cl.getProfile() backup.displayName = contact.displayName backup.statusMessage = contact.statusMessage backup.pictureStatus = contact.pictureStatus contact = cl.getProfile() profile = cl.getProfile() profile.displayName = contact.displayName profile.statusMessage = contact.statusMessage profile.pictureStatus = contact.pictureStatus mulai = time.time() agent = {'User-Agent' : "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)"} def translate(to_translate, to_language="auto", language="auto"): bahasa_awal = "auto" bahasa_tujuan = to_language kata = to_translate url = 'http://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] return result def download_page(url): version = (3,0) cur_version = sys.version_info if cur_version >= version: #If the Current Version of Python is 3.0 or above import urllib,request #urllib library for Extracting web pages try: headers = {} headers['User-Agent'] = "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36" req = urllib,request.Request(url, headers = headers) resp = urllib,request.urlopen(req) respData = str(resp.read()) return respData except Exception as e: print(str(e)) else: #If the Current Version of Python is 2.x import urllib2 try: headers = {} headers['User-Agent'] = "Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1312.27 Safari/537.17" req = urllib2.Request(url, headers = headers) response = urllib2.urlopen(req) page = response.read() return page except: return"Page Not found" #Finding 'Next Image' from the given raw page def _images_get_next_item(s): start_line = s.find('rg_di') if start_line == -1: #If no links are found then give an error! end_quote = 0 link = "no_links" return link, end_quote else: start_line = s.find('"class="rg_meta"') start_content = s.find('"ou"',start_line+90) end_content = s.find(',"ow"',start_content-90) content_raw = str(s[start_content+6:end_content-1]) return content_raw, end_content #Getting all links with the help of '_images_get_next_image' def _images_get_all_items(page): items = [] while True: item, end_content = _images_get_next_item(page) if item == "no_links": break else: items.append(item) #Append all the links in the list named 'Links' time.sleep(0.1) #Timer could be used to slow down the request for image downloads page = page[end_content:] return items def sendFileWithURL(self, url, name = ''): """Send a File with given File url :param url: File url to send """ from urlparse import urlparse from os.path import basename import urllib2 if name == '': name = basename(urlparse(url).path) file = urllib2.urlopen(url) output = open('pythonLine.data','wb') output.write(file.read()) output.close() try: self.sendFile('pythonLine.data', name) except Exception as e: raise e def yt(query): with requests.session() as s: isi = [] if query == "": query = "S1B tanysyz" s.headers['user-agent'] = 'Mozilla/5.0' url = 'https://www.youtube.com/results' params = {'search_query': query} r = s.get(url, params=params) soup = BeautifulSoup(r.content, 'html5lib') for a in soup.select('.yt-lockup-title > a[title]'): if '&list=' not in a['href']: if 'watch?v' in a['href']: b = a['href'].replace('watch?v=', '') isi += ['youtu.be' + b] return isi def waktu(secs): mins, secs = divmod(secs,60) hours, mins = divmod(mins,60) return '%02d Jam %02d Menit %02d Detik' % (hours, mins, secs) def upload_tempimage(client): ''' Upload a picture of a kitten. We don't ship one, so get creative! ''' config = { 'album': album, 'name': 'bot auto upload', 'title': 'bot auto upload', 'description': 'bot auto upload' } print("Uploading image... ") image = client.upload_from_path(image_path, config=config, anon=False) print("Done") print() return image def sendImage(self, to_, path): M = Message(to=to_,contentType = 1) M.contentMetadata = None M.contentPreview = None M_id = self.Talk.client.sendMessage(0,M).id files = { 'file': open(path, 'rb'), } params = { 'name': 'media', 'oid': M_id, 'size': len(open(path, 'rb').read()), 'type': 'image', 'ver': '1.0', } data = { 'params': json.dumps(params) } r = self.post_content('http://os.line.naver.jp/talk/m/upload.nhn', data=data, files=files) if r.status_code != 201: raise Exception('Upload image failure.') return True def sendImageWithURL(self, to_, url): path = '%s/pythonLine-%i.data' % (tempfile.gettempdir(), randint(0, 9)) r = requests.get(url, stream=True) if r.status_code == 200: with open(path, 'w') as f: shutil.copyfileobj(r.raw, f) else: raise Exception('Download image failure.') try: self.sendImage(to_, path) except Exception as e: raise e def restart_program(): python = sys.executable os.execl(python, python, * sys.argv) def post_content(self, urls, data=None, files=None): return self._session.post(urls, headers=self._headers, data=data, files=files) def NOTIFIED_READ_MESSAGE(op): try: if op.param1 in wait2['readPoint']: Name = cl.getContact(op.param2).displayName if Name in wait2['readMember'][op.param1]: pass else: wait2['readMember'][op.param1] += "\n9§9" + Name wait2['ROM'][op.param1][op.param2] = "9§9" + Name else: pass except: pass def sendAudio(self, to_, path): M = Message(to=to_, text=None, contentType = 3) M_id = self.Talk.client.sendMessage(0,M).id files = { 'file': open(path, 'rb'), } params = { 'name': 'media', 'oid': M_id, 'size': len(open(path, 'rb').read()), 'type': 'audio', 'ver': '1.0', } data = { 'params': json.dumps(params) } r = self.post_content('https://os.line.naver.jp/talk/m/upload.nhn', data=data, files=files) print r if r.status_code != 201: raise Exception('Upload audio failure.') def sendAudioWithURL(self, to_, url): path = '%s/pythonLine-%i.data' % (tempfile.gettempdir(), randint(0, 9)) r = requests.get(url, stream=True) if r.status_code == 200: with open(path, 'w') as f: shutil.copyfileobj(r.raw, f) else: raise Exception('Download audio failure.') try: self.sendAudio(to_, path) except Exception as e: raise e def sendVoice(self, to_, path): M = Message(to=to_, text=None, contentType = 3) M.contentPreview = None M_id = self._client.sendMessage(0,M).id files = { 'file': open(path, 'rb'), } params = { 'name': 'voice_message', 'oid': M_id, 'size': len(open(path, 'rb').read()), 'type': 'audio', 'ver': '1.0', } data = { 'params': json.dumps(params) } r = self.post_content('http://os.line.naver.jp/talk/m/upload.nhn', data=data, files=files) if r.status_code != 201: raise Exception('Upload voice failure.') return True def tagall(to,nama): aa = "" bb = "" strt = int(12) akh = int(12) nm = nama #print nm for mm in nm: akh = akh + 2 aa += """{"S":"""+json.dumps(str(strt))+""","E":"""+json.dumps(str(akh))+""","M":"""+json.dumps(mm)+"},""" strt = strt + 6 akh = akh + 4 bb += "✮ @c \n" aa = (aa[:int(len(aa)-1)]) msg = Message() msg.to = to msg.text = "「Mention」\n"+bb msg.contentMetadata = {'MENTION':'{"MENTIONEES":['+aa+']}','EMTVER':'4'} print "[Command] Tag All" try: cl.sendMessage(msg) except Exception as error: print error def summon(to,nama): aa = "" bb = "" strt = int(14) akh = int(14) nm = nama for mm in nm: akh = akh + 2 aa += """{"S":"""+json.dumps(str(strt))+""","E":"""+json.dumps(str(akh))+""","M":"""+json.dumps(mm)+"},""" strt = strt + 6 akh = akh + 4 bb += "\xe2\x95\xa0 @x \n" aa = (aa[:int(len(aa)-1)]) msg = Message() msg.to = to msg.text = "\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\n"+bb+"\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90" msg.contentMetadata ={'MENTION':'{"MENTIONEES":['+aa+']}','EMTVER':'4'} print "[Command] Tag Sider on" try: cl.sendMessage(msg) except Exception as error: print error def sendMessage(to, text, contentMetadata={}, contentType=0): mes = Message() mes.to, mes.from_ = to, profile.mid mes.text = text mes.contentType, mes.contentMetadata = contentType, contentMetadata if to not in messageReq: messageReq[to] = -1 messageReq[to] += 1 def removeAllMessages(self, lastMessageId): return self._client.removeAllMessages(0, lastMessageId) def bot(op): try: if op.type == 0: return if op.type == 13: if wait["auto"] == True: cl.acceptGroupInvitation(op.param1) cl.sendText(op.param1, "Do not invite anyone !! In addition to permission from the board or group owner. Thank you 🙂") if op.type == 5: if wait["autoAdd"] == True: cl.findAndAddContactsByMid(op.param1) if(wait["message"]in[""," ","\n",None]): pass else: cl.sendText(op.param1,str(wait["message"])) if op.type == 55: try: group_id = op.param1 user_id=op.param2 subprocess.Popen('echo "'+ user_id+'\|'+str(op.createdTime)+'" >> dataSeen/%s.txt' % group_id, shell=True, stdout=subprocess.PIPE, ) except Exception as e: print e if op.type == 55: try: if cctv['cyduk'][op.param1]==True: if op.param1 in cctv['point']: Name = cl.getContact(op.param2).displayName # Name = summon(op.param2) if Name in cctv['sidermem'][op.param1]: pass else: cctv['sidermem'][op.param1] += "\n• " + Name if " " in Name: nick = Name.split(' ') if len(nick) == 2: cl.sendText(op.param1, "Haii " + "☞ " + Name + " ☜" + "\nCie cie yang jones ngintip aja cie . . .\nSini napa nes (-__-) ") time.sleep(0.2) summon(op.param1,[op.param2]) else: cl.sendText(op.param1, "Haii " + "☞ " + Name + " ☜" + "\nBisulan tujuh turunan cctv telus . . .\nChat Napa (-__-) ") time.sleep(0.2) summon(op.param1,[op.param2]) else: cl.sendText(op.param1, "Haii " + "☞ " + Name + " ☜" + "\nKak ngapain ngintip ? \nSini Dong ih.. ") time.sleep(0.2) summon(op.param1,[op.param2]) else: pass else: pass except: pass else: pass if op.type == 26: msg = op.message if msg.to in settings["simiSimi"]: if settings["simiSimi"][msg.to] == True: if msg.text is not None: text = msg.text r = requests.get("http://api.ntcorp.us/chatbot/v1/?text=" + text.replace(" ","+") + "&key=beta1.nt") data = r.text data = json.loads(data) if data['status'] == 200: if data['result']['result'] == 100: cl.sendText(msg.to, "[From Simi]\n" + data['result']['response'].encode('utf-8')) if 'MENTION' in msg.contentMetadata.keys() != None: if wait["detectMention"] == True: contact = cl.getContact(msg.from_) cName = contact.displayName balas = ["",cName + " Ada apa kak panggil aku ?, ", cName + " Kangen kak ? Datang aja ke lumah aku", cName + " Yang tag jones ", "Maaf aku lagi nikung janga ganggu, " + cName + "?","Au ah tag mulu, ", "Lagi anu kak tanggung mau keluar, "] ret_ = random.choice(balas) name = re.findall(r'@(\w+)', msg.text) mention = ast.literal_eval(msg.contentMetadata['MENTION']) mentionees = mention['MENTIONEES'] for mention in mentionees: if mention['M'] in Bots: cl.sendText(msg.to,ret_) cl.sendText(msg.from_,ret_) time.sleep(0.2) summon(op.param1,[op.param2]) break if 'MENTION' in msg.contentMetadata.keys() != None: if wait["detectMention2"] == True: contact = cl.getContact(msg.from_) cName = contact.displayName balas = ["Woii " + cName + ", Dasar Jones Ngetag Mulu!"] balas1 = "Ini Foto Sii Jones Yang Suka Ngetag. . ." ret_ = random.choice(balas) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus name = re.findall(r'@(\w+)', msg.text) mention = ast.literal_eval(msg.contentMetadata['MENTION']) mentionees = mention['MENTIONEES'] for mention in mentionees: if mention['M'] in Bots: cl.sendText(msg.to,ret_) cl.sendText(msg.to,balas1) cl.sendImageWithURL(msg.to,image) msg.contentType = 7 msg.text = None msg.contentMetadata = { "STKID": "7", "STKPKGID": "1", "STKVER": "100" } cl.sendMessage(msg) break #--------------------------------------------------------------------- if op.type == 26: msg = op.message if msg.text is None: return if "@"+cl.getProfile().displayName in msg.text: if wait["tag"] == True: tanya = msg.text.replace("@"+cl.getProfile().displayName,"") jawab = ("Kenapa Tag Si "+cl.getProfile().displayName+" Kangen yah..!!!\nPC aja langsung biar anu hihi..!!","Nah ngetag lagi si "+cl.getProfile().displayName+" mending ajak mojok nah bozz saya 👉 🍁հմՏɑíղ✍️ line.me//t/p/~tak.dapat.tidur kasian bozz saya jones,, dari pada ngetag mulu.. wkwk...!!!") jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) #------Open QR Kick finish-----# if wait["alwayRead"] == True: if msg.toType == 0: cl.sendChatChecked(msg.from_,msg.id) else: cl.sendChatChecked(msg.to,msg.id) if op.type == 25: msg = op.message if msg.contentType == 13: if wait["wblack"] == True: if msg.contentMetadata["mid"] in wait["commentBlack"]: cl.sendText(msg.to,"In Blacklist") wait["wblack"] = False else: wait["commentBlack"][msg.contentMetadata["mid"]] = True wait["wblack"] = False cl.sendText(msg.to,"Nothing") if op.type == 17: if wait["Wc"] == True: if op.param2 in Bots: return ginfo = cl.getGroup(op.param1) contact = cl.getContact(op.param2) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus c = Message(to=op.param1, from_=None, text=None, contentType=13) c.contentMetadata={'mid':op.param2} cl.sendMessage(c) cl.sendImageWithURL(op.param1,image) cl.sendText(op.param1,"Hii... " + cl.getContact(op.param2).displayName + " \nWelcome to " + str(ginfo.name) + "\n\n" + "Group creator :\n👉 " + ginfo.creator.displayName + "\n\nObey the rules in the group admin\nAnd hopefully feel at home here 🙂\nPlease type [Help/Key], For help. And use wisely. Thank you 🙂") print "MEMBER HAS JOIN THE GROUP" if op.type == 15: if wait["Lv"] == True: if op.param2 in Bots: return contact = cl.getContact(op.param2) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus c = Message(to=op.param1, from_=None, text=None, contentType=13) c.contentMetadata={'mid':op.param2} cl.sendMessage(c) cl.sendImageWithURL(op.param1,image) cl.sendText(op.param1,"Good bye " + cl.getContact(op.param2).displayName + "\nSee you next time . . . (p′︵‵。) 🤗") print "MEMBER HAS LEFT THE GROUP" #----------------------------------------------- if op.type == 25: msg = op.message if msg.contentType == 13: if wait["winvite"] == True: if msg.from_ in admin: _name = msg.contentMetadata["displayName"] invite = msg.contentMetadata["mid"] groups = cl.getGroup(msg.to) pending = groups.invitee targets = [] for s in groups.members: if _name in s.displayName: cl.sendText(msg.to,"-> " + _name + " was here") break elif invite in wait["blacklist"]: cl.sendText(msg.to,"Sorry, " + _name + " On Blacklist") cl.sendText(msg.to,"Call my daddy to use command !, \n➡Unban: " + invite) break else: targets.append(invite) if targets == []: pass else: for target in targets: try: cl.findAndAddContactsByMid(target) cl.inviteIntoGroup(msg.to,[target]) cl.sendText(msg.to,"Done Invite : \n➡" + _name) wait["winvite"] = False break except: try: cl.findAndAddContactsByMid(invite) cl.inviteIntoGroup(op.param1,[invite]) wait["winvite"] = False except: cl.sendText(msg.to,"Negative, Error detected") wait["winvite"] = False break #--------------NOTIFIED_INVITE_INTO_GROUP---------------- if op.type == 13: print op.param3 if op.param3 in mid: if op.param2 in creator: cl.acceptGroupInvitation(op.param1) #-------------------------------------------------------- if op.type == 13: if mid in op.param3: if wait["autoJoin"] == True: if op.param2 in Bots or owner or mid: cl.acceptGroupInvitation(op.param1) cl.rejectGroupInvitation(op.param1) cl.sendText(op.param1, "Thank you for inviting me.\nIntroduce my name is Mr. Rius 🤖\n\nPlease type [Help/Key], For help. And use wisely. Thank you 🙂") else: cl.rejectGroupInvitation(op.param1) else: print "autoJoin is Off" #================================================================ if op.type == 22: if wait["leaveRoom"] == True: cl.leaveRoom(op.param1) if op.type == 24: if wait["leaveRoom"] == True: cl.leaveRoom(op.param1) if op.type == 26: msg = op.message #----------------------------------------- if msg.toType == 1: if wait["leaveRoom"] == True: cl.leaveRoom(msg.to) if msg.contentType == 16: url = msg.contentMetadata("line://home/post?userMid="+mid+"&postId="+"new_post") cl.like(url[25:58], url[66:], likeType=1001) if op.type == 26: msg = op.message if msg.contentType == 13: if wait["wblack"] == True: if msg.contentMetadata["mid"] in wait["commentBlack"]: cl.sendText(msg.to,"already") wait["wblack"] = False else: wait["commentBlack"][msg.contentMetadata["mid"]] = True wait["wblack"] = False cl.sendText(msg.to,"decided not to comment") elif wait["dblack"] == True: if msg.contentMetadata["mid"] in wait["commentBlack"]: del wait["commentBlack"][msg.contentMetadata["mid"]] cl.sendText(msg.to,"deleted") cl.sendText(msg.to,"deleted") cl.sendText(msg.to,"deleted") kc.sendText(msg.to,"deleted") wait["dblack"] = False else: wait["dblack"] = False cl.sendText(msg.to,"It is not in the black list") cl.sendText(msg.to,"It is not in the black list") cl.sendText(msg.to,"It is not in the black list") kc.sendText(msg.to,"It is not in the black list") elif wait["wblacklist"] == True: if msg.contentMetadata["mid"] in wait["blacklist"]: cl.sendText(msg.to,"already") cl.sendText(msg.to,"already") cl.sendText(msg.to,"already") kc.sendText(msg.to,"already") wait["wblacklist"] = False else: wait["blacklist"][msg.contentMetadata["mid"]] = True wait["wblacklist"] = False cl.sendText(msg.to,"aded") cl.sendText(msg.to,"aded") cl.sendText(msg.to,"aded") kc.sendText(msg.to,"aded") elif wait["dblacklist"] == True: if msg.contentMetadata["mid"] in wait["blacklist"]: del wait["blacklist"][msg.contentMetadata["mid"]] cl.sendText(msg.to,"deleted") cl.sendText(msg.to,"deleted") cl.sendText(msg.to,"deleted") kc.sendText(msg.to,"deleted") wait["dblacklist"] = False else: wait["dblacklist"] = False cl.sendText(msg.to,"It is not in the black list") cl.sendText(msg.to,"It is not in the black list") cl.sendText(msg.to,"It is not in the black list") kc.sendText(msg.to,"It is not in the black list") elif wait["contact"] == True: msg.contentType = 0 cl.sendText(msg.to,msg.contentMetadata["mid"]) if 'displayName' in msg.contentMetadata: contact = cl.getContact(msg.contentMetadata["mid"]) try: cu = cl.channel.getCover(msg.contentMetadata["mid"]) except: cu = "" cl.sendText(msg.to,"[displayName]:\n" + msg.contentMetadata["displayName"] + "\n[mid]:\n" + msg.contentMetadata["mid"] + "\n[statusMessage]:\n" + contact.statusMessage + "\n[pictureStatus]:\nhttp://dl.profile.line-cdn.net/" + contact.pictureStatus + "\n[coverURL]:\n" + str(cu)) else: contact = cl.getContact(msg.contentMetadata["mid"]) try: cu = cl.channel.getCover(msg.contentMetadata["mid"]) except: cu = "" cl.sendText(msg.to,"[displayName]:\n" + contact.displayName + "\n[mid]:\n" + msg.contentMetadata["mid"] + "\n[statusMessage]:\n" + contact.statusMessage + "\n[pictureStatus]:\nhttp://dl.profile.line-cdn.net/" + contact.pictureStatus + "\n[coverURL]:\n" + str(cu)) elif msg.contentType == 16: if wait["timeline"] == True: msg.contentType = 0 if wait["lang"] == "JP": msg.text = "post URL\n" + msg.contentMetadata["postEndUrl"] else: msg.text = "URL�0�10��9�0�16�0�69�0�3�0�4\n" + msg.contentMetadata["postEndUrl"] cl.sendText(msg.to,msg.text) elif msg.text is None: return elif msg.text in ["Help","Key","help","key"]: if wait["lang"] == "JP": cl.sendText(msg.to,helpMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key translate"]: if wait["lang"] == "JP": cl.sendText(msg.to,translateMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key7"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,botMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key2"]: if wait["lang"] == "JP": cl.sendText(msg.to,socmedMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key4"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,protectMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key5"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,settingMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key6"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,stealMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key3"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,giftMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif ("Gn: " in msg.text): if msg.from_ in admin or owner: if msg.toType == 2: X = cl.getGroup(msg.to) X.name = msg.text.replace("Gn: ","") cl.updateGroup(X) else: cl.sendText(msg.to,"It can't be used besides the group.") #-------------------------------------------------- elif "Jemput dia " in msg.text: if msg.from_ in admin or owner: midd = msg.text.replace("Jemput dia ","") cl.findAndAddContactsByMid(midd) cl.inviteIntoGroup(msg.to,[midd]) #-------------------------------------------------- elif msg.text in ["Me"]: msg.contentType = 13 msg.contentMetadata = {'mid': mid} cl.sendMessage(msg) #-------------------------------------------------- elif msg.text in ["Ourl","Link on","Urlon"]: if msg.from_ in admin or owner: if msg.toType == 2: X = cl.getGroup(msg.to) X.preventJoinByTicket = False cl.updateGroup(X) if wait["lang"] == "JP": cl.sendText(msg.to,"Done") else: cl.sendText(msg.to,"already open") else: if wait["lang"] == "JP": cl.sendText(msg.to,"Can not be used outside the group") else: cl.sendText(msg.to,"Not for use less than group") #-------------------------------------------------- elif msg.text in ["Curl","Link off","Urloff"]: if msg.from_ in admin or owner: if msg.toType == 2: X = cl.getGroup(msg.to) X.preventJoinByTicket = True cl.updateGroup(X) if wait["lang"] == "JP": cl.sendText(msg.to,"Done") else: cl.sendText(msg.to,"already close") else: if wait["lang"] == "JP": cl.sendText(msg.to,"Can not be used outside the group") else: cl.sendText(msg.to,"Not for use less than group") #-------------------------------------------------- elif "jointicket " in msg.text.lower(): rplace=msg.text.lower().replace("jointicket ") if rplace == "on": wait["atjointicket"]=True elif rplace == "off": wait["atjointicket"]=False cl.sendText(msg.to,"Auto Join Group by Ticket is %s" % str(wait["atjointicket"])) elif '/ti/g/' in msg.text.lower(): link_re = re.compile('(?:line\:\/\|line\.me\/R)\/ti\/g\/([a-zA-Z0-9_-]+)?') links = link_re.findall(msg.text) n_links=[] for l in links: if l not in n_links: n_links.append(l) for ticket_id in n_links: if wait["atjointicket"] == True: group=cl.findGroupByTicket(ticket_id) cl.acceptGroupInvitationByTicket(group.mid,ticket_id) cl.sendText(msg.to,"Sukses join ke grup %s" % str(group.name)) #-------------------------------------------------- elif msg.text == "Ginfo": if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: gCreator = ginfo.creator.displayName except: gCreator = "Error" if wait["lang"] == "JP": if ginfo.invitee is None: sinvitee = "0" else: sinvitee = str(len(ginfo.invitee)) if ginfo.preventJoinByTicket == True: u = "Close" else: u = "Open" cl.sendText(msg.to,"[Group Name]\n" + str(ginfo.name) + "\n\n[Group id]\n" + msg.to + "\n\n[Group Creator]\n" + gCreator + "\n\n[Profile Status]\nhttp://dl.profile.line.naver.jp/" + ginfo.pictureStatus + "\nMembers: " + str(len(ginfo.members)) + " members\nPending: " + sinvitee + " people\nURL: " + u + " it is inside") else: cl.sendText(msg.to,"[Group Name]\n" + str(ginfo.name) + "\n\n[Group id]\n" + msg.to + "\n\n[Group Creator]\n" + gCreator + "\n\n[Profile Status]\nhttp://dl.profile.line.naver.jp/" + ginfo.pictureStatus) else: if wait["lang"] == "JP": cl.sendText(msg.to,"Can not be used outside the group") else: cl.sendText(msg.to,"Not for use less than group") #-------------------------------------------------- elif "Details group: " in msg.text: if msg.from_ in admin: gid = msg.text.replace("Details group: ","") if gid in [""," "]: cl.sendText(msg.to,"Grup id tidak valid") else: try: groups = cl.getGroup(gid) if groups.members is not None: members = str(len(groups.members)) else: members = "0" if groups.invitee is not None: pendings = str(len(groups.invitee)) else: pendings = "0" h = "[" + groups.name + "]\n -+GroupID : " + gid + "\n -+Members : " + members + "\n -+MembersPending : " + pendings + "\n -+Creator : " + groups.creator.displayName + "\n -+GroupPicture : http://dl.profile.line.naver.jp/" + groups.pictureStatus cl.sendText(msg.to,h) except Exception as error: cl.sendText(msg.to,(error)) elif "Spamtag @" in msg.text: _name = msg.text.replace("Spamtag @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: xname = g.displayName xlen = str(len(xname)+1) msg.contentType = 0 msg.text = "@"+xname+" " msg.contentMetadata ={'MENTION':'{"MENTIONEES":[{"S":"0","E":'+json.dumps(xlen)+',"M":'+json.dumps(g.mid)+'}]}','EMTVER':'4'} cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) print "Spamtag Berhasil." #-------------------------------------------------- elif msg.text.lower() in ["wkwk","wkwkwk","ckck","ckckck"]: msg.contentType = 7 msg.contentMetadata={'STKID': '100', 'STKPKGID': '1', 'STKVER': '100' } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["hehehe","hehe"]: msg.contentType = 7 msg.contentMetadata={'STKID': '10', 'STKPKGID': '1', 'STKVER': '100' } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["galon","galo","galau"]: msg.contentType = 7 msg.contentMetadata={'STKID': '9', 'STKPKGID': '1', 'STKVER': '100' } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["you","kamu","km","u","qm"]: msg.contentType = 7 msg.contentMetadata={"STKID": "7", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["hadeuh","hadeh","hadech"]: msg.contentType = 7 msg.contentMetadata={"STKID": "6", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["please"]: msg.contentType = 7 msg.contentMetadata={"STKID": "4", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["haaa","hah","kaget","terkejut"]: msg.contentType = 7 msg.contentMetadata={"STKID": "3", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["lol","haha","hahaha","ngakak","lucu"]: msg.contentType = 7 msg.contentMetadata={"STKID": "110", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["hmmm","hmm"]: msg.contentType = 7 msg.contentMetadata={"STKID": "101", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["come","ayo","kuy"]: msg.contentType = 7 msg.contentMetadata={"STKID": "247", "STKPKGID": "3", "STKVER": "100" } msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["marah","hadeuh","hadeh"]: msg.contentType = 7 msg.contentMetadata={'STKID': '6', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["tidur","turu","bobo","bubu","sleep","nite"]: msg.contentType = 7 msg.contentMetadata={'STKID': '1', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["gemes"]: msg.contentType = 7 msg.contentMetadata={'STKID': '2', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["cantik","imut"]: msg.contentType = 7 msg.contentMetadata={'STKID': '5', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["nyanyi","lalala"]: msg.contentType = 7 msg.contentMetadata={'STKID': '11', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["gugup"]: msg.contentType = 7 msg.contentMetadata={'STKID': '8', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["ok","oke","okay","oce","okee","sip","siph"]: msg.contentType = 7 msg.contentMetadata={'STKID': '13', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["mantab","mantap","nice","keren"]: msg.contentType = 7 msg.contentMetadata={'STKID': '14', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["ngejek"]: msg.contentType = 7 msg.contentMetadata={'STKID': '15', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["nangis","sedih"]: msg.contentType = 7 msg.contentMetadata={'STKID': '16', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["kampret"]: msg.contentType = 7 msg.contentMetadata={'STKID': '102', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["huft"]: msg.contentType = 7 msg.contentMetadata={'STKID': '104', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) #--------------------------------------------------- elif "Id" == msg.text: if msg.from_ in admin or owner: cl.sendText(msg.to,msg.to) #-------------------------------------------------- elif msg.text in ["TL "]: if msg.from_ in admin or owner: tl_text = msg.text.replace("TL ","") cl.sendText(msg.to,"line://home/post?userMid="+mid+"&postId="+cl.new_post(tl_text)["result"]["post"]["postInfo"]["postId"]) #-------------------------------------------------- elif msg.text in ["Undang"]: if msg.from_ in admin or owner: wait["winvite"] = True cl.sendText(msg.to,"send contact") #-------------------------------------------------- elif msg.text in ["Mc "]: if msg.from_ in admin or owner: mmid = msg.text.replace("Mc ","") msg.contentType = 13 msg.contentMetadata = {"mid":mmid} cl.sendMessage(msg) #-------------------------------------------------- elif msg.text in ["Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¥Ââ 1�71¤7šÃ¥Å 1�71¤7 :Ã£â€šÂªÃ£Æ�1�7�Â�1�7�1�71¤7","Join on","Auto join:on","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¥ÂÆ’Ã¥Å�1�7�1�71¤7 Ã¯Â¼Å¡Ã©â€�1�7�â�1�7�1�71¤7 1�71¤7"]: if msg.from_ in admin or owner: if wait["autoJoin"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"already on") else: cl.sendText(msg.to,"done") else: wait["autoJoin"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"already on") else: cl.sendText(msg.to,"done") #-------------------------------------------------- elif msg.text in ["Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¥Ââ 1�71¤7šÃ¥Å 1�71¤7 :Ã£â€šÂªÃ£Æ�1�7�â�1�7�1�71¤7 1�71¤7","Join off","Auto join:off","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¥ÂÆ’Ã¥Å�1�7�1�71¤7 Ã¯Â¼Å¡Ã©â€�1�7�Å�1�7�1�71¤7"]: if msg.from_ in admin or owner: if wait["autoJoin"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"already off") else: cl.sendText(msg.to,"done") else: wait["autoJoin"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"already off") else: cl.sendText(msg.to,"done") #----------------------------------------------------# elif msg.text in ["Respontagbot on","Autoresponbot:on","Responbot on","Responbot:on"]: if msg.from_ in admin: wait["detectMention"] = True cl.sendText(msg.to,"Auto respon tag On") elif msg.text in ["Responbot2 on"]: if msg.from_ in admin: wait["detectMention"] = False wait["detectMention2"] = True wait["detectMention3"] = False wait["kickMention"] = False cl.sendText(msg.to,"Auto Respon2 Sudah Aktif") else: cl.sendText(msg.to,"Khusus Admin") elif msg.text in ["Responbot2 off"]: if msg.from_ in admin: wait["detectMention2"] = False cl.sendText(msg.to,"Auto Respon2 Sudah Off") else: cl.sendText(msg.to,"Khusus Admin") elif msg.text in ["Respontagbot off","Autoresponbot:off","Responbot off","Responbot:off"]: if msg.from_ in admin: wait["detectMention"] = False cl.sendText(msg.to,"Auto respon tag Off") #-------------------------------------------------- elif msg.text in ["Gcancel:"]: if msg.from_ in admin or owner: try: strnum = msg.text.replace("Gcancel:","") if strnum == "off": wait["autoCancel"]["on"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Invitation refused turned off\nTo turn on please specify the number of people and send") else: cl.sendText(msg.to,"Ã¥â€¦Â³Ã¤Âºâ�1�7�1�71¤7 Ã©â 1�71¤7šâ‚¬Ã¨Â¯Â·Ã¦â€¹â 1�71¤7™Ã§Â»ÂÃ£â�1�7�¬â€šÃ¨Â¦ÂÃ¦â 1�71¤7”Â¶Ã¥Â¼â�1�7�¬Ã¨Â¯Â·Ã¦Å�1�7�â€¡Ã¥Â®Å¡Ã¤ÂºÂºÃ¦â 1�71¤7¢Â°Ã¥Ââ 1�71¤7˜Ã©â‚¬Â1�7") else: num = int(strnum) wait["autoCancel"]["on"] = True if wait["lang"] == "JP": cl.sendText(msg.to,strnum + "The group of people and below decided to automatically refuse invitation") else: cl.sendText(msg.to,strnum + "Ã¤Â½Â¿Ã¤ÂºÂºÃ¤Â»Â¥Ã¤Â¸â€¹Ã§Å¡â�1�7�1�71¤7žÃ¥Â°ÂÃ§Â»â 1�71¤7žÃ§â 1�71¤7Â¨Ã¨â 1�71¤7¡ÂªÃ¥Å Â¨Ã©â 1�71¤7šâ‚¬Ã¨Â¯Â·Ã¦â€¹â 1�71¤7™Ã§Â»Â�1�7�1�71¤7") except: if wait["lang"] == "JP": cl.sendText(msg.to,"Value is wrong") else: cl.sendText(msg.to,"Bizarre ratings") #-------------------------------------------------- elif msg.text in ["Ã¥Â¼Â·Ã¥Ë†Â¶Ã¨â€¡ÂªÃ¥â 1�71¤7¹â 1�71¤7¢Ã©â‚¬â�1�7�¬Ã¥â�1�7�1�71¤7¡Â 1�71¤7:Ã£â€šÂªÃ£Æ�1�7�Â�1�7�1�71¤7","Leave on","Auto leave:on","Ã¥Â¼Â·Ã¥Ë†Â¶Ã¨â€¡ÂªÃ¥â 1�71¤7¹â 1�71¤7¢Ã©â‚¬â�1�7�¬Ã¥â�1�7�1�71¤7¡ÂºÃ¯Â¼Å¡Ã©â 1�71¤7“â�1�7�1�71¤7 1�71¤7"]: if msg.from_ in admin or owner: if wait["leaveRoom"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"already on") else: cl.sendText(msg.to,"done") else: wait["leaveRoom"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥Â¼â�1�7�¬Ã£â�1�7�¬â�1�7�1�71¤7 1�71¤7") #-------------------------------------------------- elif msg.text in ["Ã¥Â¼Â·Ã¥Ë†Â¶Ã¨â€¡ÂªÃ¥â 1�71¤7¹â 1�71¤7¢Ã©â‚¬â�1�7�¬Ã¥â�1�7�1�71¤7¡Â 1�71¤7:Ã£â€šÂªÃ£Æ�1�7�â�1�7�1�71¤7 1�71¤7","Leave off","Auto leave:off","Ã¥Â¼Â·Ã¥Ë†Â¶Ã¨â€¡ÂªÃ¥â 1�71¤7¹â 1�71¤7¢Ã©â‚¬â�1�7�¬Ã¥â�1�7�1�71¤7¡ÂºÃ¯Â¼Å¡Ã©â 1�71¤7”Å�1�7�1�71¤7"]: if msg.from_ in admin or owner: if wait["leaveRoom"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"already off") else: cl.sendText(msg.to,"done") else: wait["leaveRoom"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"already") #-------------------------------------------------- elif msg.text in ["Ã¥â€¦Â±Ã¦Å�1�7�â�1�7�1�71¤7 1�71¤7:Ã£â€šÂªÃ£Æ�1�7�Â�1�7�1�71¤7","Share on","Share on"]: if msg.from_ in admin or owner: if wait["timeline"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"already on") else: cl.sendText(msg.to,"done") else: wait["timeline"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥Â¼â�1�7�¬Ã£â�1�7�¬â�1�7�1�71¤7 1�71¤7") #-------------------------------------------------- elif msg.text in ["Ã¥â€¦Â±Ã¦Å�1�7�â�1�7�1�71¤7 1�71¤7:Ã£â€šÂªÃ£Æ�1�7�â�1�7�1�71¤7 1�71¤7","Share off","Share off"]: if msg.from_ in admin or owner: if wait["timeline"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"already off") else: cl.sendText(msg.to,"done") else: wait["timeline"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥â�1�7�1�71¤7¦Â³Ã¦â 1�71¤7“ÂÃ£â�1�7�¬â€ 1�71¤7") elif "Sider on" in msg.text: try: del cctv['point'][msg.to] del cctv['sidermem'][msg.to] del cctv['cyduk'][msg.to] except: pass cctv['point'][msg.to] = msg.id cctv['sidermem'][msg.to] = "" cctv['cyduk'][msg.to]=True wait["Sider"] = True cl.sendText(msg.to,"Siap On Cek Sider") elif "Sider off" in msg.text: if msg.to in cctv['point']: cctv['cyduk'][msg.to]=False wait["Sider"] = False cl.sendText(msg.to, "Cek Sider Off") else: cl.sendText(msg.to, "Heh Belom Di Set") #-------------------------------------------------- elif msg.text in ["Status bot"]: if msg.from_ in admin or owner: md = "" if wait["contact"] == True: md+="[􀜁􀇔Mask􏿿] CONTACT : [✅]\n" else: md+="[􀜁􀇔Mask􏿿] CONTACT : [❌]\n" if wait["autoJoin"] == True: md+="[􀜁􀇔Mask􏿿] AUTOJOIN : [✅]\n" else: md +="[􀜁􀇔Mask􏿿] AUTOJOIN : [❌]\n" if wait["leaveRoom"] == True: md+="[􀜁􀇔Mask􏿿] AUTOLEAVE : [✅]\n" else: md+="[􀜁􀇔􀜁􀇔Mask􏿿􏿿] AUTOLEAVE : [❌]\n" if wait["timeline"] == True: md+="[􀜁􀇔Mask􏿿] SHARE : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] SHARE : [❌]\n" if wait["autoAdd"] == True: md+="[􀜁􀇔Mask􏿿] AUTOADD : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] AUTOADD : [❌]\n" if wait["commentOn"] == True: md+="[􀜁􀇔Mask􏿿] COMMENT : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] COMMENT : [❌]\n" if wait["likeOn"] == True: md+="[􀜁􀇔Mask􏿿] AUTOLIKE : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] AUTOLIKE : [❌]\n" if wait["Wc"] == True: md+="[􀜁􀇔Mask􏿿] WELCOME : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] WELCOME : [❌]\n" if wait["Lv"] == True: md+="[􀜁􀇔Mask􏿿] LEAVE : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] LEAVE : [❌]\n" if wait["tag"] == True: md+="[􀜁􀇔Mask􏿿] TAG 1 : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] TAG 1 : [❌]\n" if wait["auto"] == True: md+="[􀜁􀇔Mask􏿿] AutoBot Join : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] AutoBot Join : [❌]\n" if wait["auto"] == True: md+="[􀜁􀇔Mask􏿿] Autoread On : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] Autoread Off : [❌]\n" if wait["auto"] == True: md+="[􀜁􀇔Mask􏿿] Auto Sider : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] Auto Sider : [❌]\n" if wait["auto"] == True: md+="[􀜁􀇔Mask􏿿] Simisimi On : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] Simisimi Off : [❌]\n" if wait["detectMention"] == True: md+="[􀜁􀇔Mask􏿿] Respon on [✅]\n" else:md+="[􀜁􀇔Mask􏿿] Respon off [❌]\n" if wait["detectMention2"] == True: md+="[􀜁􀇔Mask􏿿] Respon on [✅]\n" else:md+="[􀜁􀇔Mask􏿿] Respon off [❌]\n" cl.sendText(msg.to,md) msg.contentType = 13 msg.contentMetadata = {'mid': "u3cfa63811888b3a880bc4f348a95b23b"} cl.sendMessage(msg) #-------------------------------------------------- elif "album merit " in msg.text: if msg.from_ in admin or owner: gid = msg.text.replace("album merit ","") album = cl.getAlbum(gid) if album["result"]["items"] == []: if wait["lang"] == "JP": cl.sendText(msg.to,"There is no album") else: cl.sendText(msg.to,"Ã§â€ºÂ¸Ã¥â�1�7�1�71¤7 Å’Ã¦Â²Â¡Ã¥Å�1�7�Â¨Ã£â�1�7�¬â€ 1�71¤7") else: if wait["lang"] == "JP": mg = "The following is the target album" else: mg = "Ã¤Â»Â¥Ã¤Â¸â€¹Ã¦ËœÂ¯Ã¥Â¯Â¹Ã¨Â±Â¡Ã§Å¡â�1�7�1�71¤7žÃ§â 1�71¤7ºÂ¸Ã¥â 1�71¤7 Å 1�71¤7" for y in album["result"]["items"]: if "photoCount" in y: mg += str(y["title"]) + ":" + str(y["photoCount"]) + "sheet\n" else: mg += str(y["title"]) + ":0sheet\n" cl.sendText(msg.to,mg) #-------------------------------------------------- elif "album " in msg.text: if msg.from_ in admin or owner: gid = msg.text.replace("album ","") album = cl.getAlbum(gid) if album["result"]["items"] == []: if wait["lang"] == "JP": cl.sendText(msg.to,"There is no album") else: cl.sendText(msg.to,"Ã§â€ºÂ¸Ã¥â�1�7�1�71¤7 Å’Ã¦Â²Â¡Ã¥Å�1�7�Â¨Ã£â�1�7�¬â€ 1�71¤7") else: if wait["lang"] == "JP": mg = "The following is the target album" else: mg = "Ã¤Â»Â¥Ã¤Â¸â€¹Ã¦ËœÂ¯Ã¥Â¯Â¹Ã¨Â±Â¡Ã§Å¡â�1�7�1�71¤7žÃ§â 1�71¤7ºÂ¸Ã¥â 1�71¤7 Å 1�71¤7" for y in album["result"]["items"]: if "photoCount" in y: mg += str(y["title"]) + ":" + str(y["photoCount"]) + "sheet\n" else: mg += str(y["title"]) + ":0sheet\n" #-------------------------------------------------- elif "album remove " in msg.text: if msg.from_ in admin or owner: gid = msg.text.replace("album remove ","") albums = cl.getAlbum(gid)["result"]["items"] i = 0 if albums != []: for album in albums: cl.deleteAlbum(gid,album["id"]) i += 1 if wait["lang"] == "JP": cl.sendText(msg.to,str(i) + "Deleted albums") else: cl.sendText(msg.to,str(i) + "Ã¥Ë 1�7 Ã©â„¢Â¤Ã¤Âºâ�1�7�1�71¤7 Ã¤Âºâ 1�71¤7¹Ã§Å¡â 1�71¤7žÃ§â 1�71¤7ºÂ¸Ã¥â 1�71¤7 Å’Ã£â�1�7�¬â€ 1�71¤7") elif msg.text in ["Group id","Ã§Â¾Â¤Ã§Âµâ€žÃ¥â�1�7�1�71¤7¦Â¨id"]: if msg.from_ in admin or owner: gid = cl.getGroupIdsJoined() h = "" for i in gid: h += "[%s]:%s\n" % (cl.getGroup(i).name,i) cl.sendText(msg.to,h) #-------------------------------------------------- elif msg.text in ["Clear"]: if msg.from_ in admin or owner: gid = cl.getGroupIdsInvited() for i in gid: cl.rejectGroupInvitation(i) if wait["lang"] == "JP": cl.sendText(msg.to,"All invitations have been refused") else: cl.sendText(msg.to,"Ã¦â€¹â�1�7�1�71¤7™Ã§Â»ÂÃ¤Âºâ�1�7�1�71¤7 Ã¥â 1�71¤7¦Â¨Ã©Æ’Â¨Ã§Å¡â�1�7�1�71¤7žÃ©â 1�71¤7šâ‚¬Ã¨Â¯Â·Ã£â�1�7�¬â�1�7�1�71¤7 1�71¤7") #-------------------------------------------------- elif "album removeÃ¢â€ â�1�7�1�71¤7 1�71¤7" in msg.text: if msg.from_ in admin or owner: gid = msg.text.replace("album removeÃ¢â€ â�1�7�1�71¤7 1�71¤7","") albums = cl.getAlbum(gid)["result"]["items"] i = 0 if albums != []: for album in albums: cl.deleteAlbum(gid,album["id"]) i += 1 if wait["lang"] == "JP": cl.sendText(msg.to,str(i) + "Albums deleted") else: cl.sendText(msg.to,str(i) + "Ã¥Ë 1�7 Ã©â„¢Â¤Ã¤Âºâ�1�7�1�71¤7 Ã¤Âºâ 1�71¤7¹Ã§Å¡â 1�71¤7žÃ§â 1�71¤7ºÂ¸Ã¥â 1�71¤7 Å’Ã£â�1�7�¬â€ 1�71¤7") #-------------------------------------------------- elif msg.text in ["Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¨Â¿Â½Ã¥Å 1�71¤7 :Ã£â€šÂªÃ£Æ�1�7�Â�1�7�1�71¤7","Add on","Auto add:on","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¨Â¿Â½Ã¥Å 1�71¤7 Ã¯Â¼Å¡Ã©â€�1�7�â�1�7�1�71¤7 1�71¤7"]: if msg.from_ in admin or owner: if wait["autoAdd"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"already on") else: cl.sendText(msg.to,"done") else: wait["autoAdd"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥Â¼â�1�7�¬Ã£â�1�7�¬â�1�7�1�71¤7 1�71¤7") #-------------------------------------------------- elif msg.text in ["Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¨Â¿Â½Ã¥Å 1�71¤7 :Ã£â€šÂªÃ£Æ�1�7�â�1�7�1�71¤7 1�71¤7","Add off","Auto add:off","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¨Â¿Â½Ã¥Å 1�71¤7 Ã¯Â¼Å¡Ã©â€�1�7�Å�1�7�1�71¤7"]: if msg.from_ in admin or owner: if wait["autoAdd"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"already off") else: cl.sendText(msg.to,"done") else: wait["autoAdd"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥â�1�7�1�71¤7¦Â³Ã¦â 1�71¤7“ÂÃ£â�1�7�¬â€ 1�71¤7") #-------------------------------------------------- elif "Message change: " in msg.text: if msg.from_ in admin or owner: wait["message"] = msg.text.replace("Message change: ","") cl.sendText(msg.to,"message changed") elif "Message add: " in msg.text: if msg.from_ in admin or owner: wait["message"] = msg.text.replace("Message add: ","") if wait["lang"] == "JP": cl.sendText(msg.to,"message changed") else: cl.sendText(msg.to,"doneÃ£â‚¬â�1�7�1�71¤7 1�71¤7") #-------------------------------------------------- elif msg.text in ["Message","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¨Â¿Â½Ã¥Å 1�71¤7 Ã¥â€¢ÂÃ¥â�1�7�¬â�1�7�¢Ã¨ÂªÅ¾Ã§Â¢ÂºÃ¨ÂªÂ�1�7�1�71¤7"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,"message change to\n\n" + wait["message"]) else: cl.sendText(msg.to,"The automatic appending information is set as followsÃ£â‚¬â�1�7�1�71¤7š\n\n" + wait["message"]) #-------------------------------------------------- elif "Comment:" in msg.text: if msg.from_ in admin or owner: c = msg.text.replace("Comment:","") if c in [""," ","\n",None]: cl.sendText(msg.to,"message changed") else: wait["comment"] = c cl.sendText(msg.to,"changed\n\n" + c) #-------------------------------------------------- elif "Add comment:" in msg.text: if msg.from_ in admin or owner: c = msg.text.replace("Add comment:","") if c in [""," ","\n",None]: cl.sendText(msg.to,"String that can not be changed") else: wait["comment"] = c cl.sendText(msg.to,"changed\n\n" + c) elif msg.text in ["Ã£â€šÂ³Ã£Æ�1�7�Â¡Ã£Æ�1�7�Â³Ã£Æ�1�7�Ë�1�7�1�71¤7:Ã£â€šÂªÃ£Æ�1�7�Â�1�7�1�71¤7","Comment on","Comment:on","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã©Â¦â 1�71¤7“Ã�1�7�1�71¤7 ÂÃ§â€¢â�1�7�¢Ã¨Â¨â�1�7�¬Ã¯Â¼Å¡Ã©â�1�7�1�71¤7“â�1�7�1�71¤7 1�71¤7"]: if msg.from_ in admin or owner: if wait["commentOn"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"already on") else: wait["commentOn"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥Â¼â�1�7�¬Ã£â�1�7�¬â�1�7�1�71¤7 1�71¤7") elif msg.text in ["Ã£â€šÂ³Ã£Æ�1�7�Â¡Ã£Æ�1�7�Â³Ã£Æ�1�7�Ë�1�7�1�71¤7:Ã£â€šÂªÃ£Æ�1�7�â�1�7�1�71¤7 1�71¤7","Comment on","Comment off","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã©Â¦â 1�71¤7“Ã�1�7�1�71¤7 ÂÃ§â€¢â�1�7�¢Ã¨Â¨â�1�7�¬Ã¯Â¼Å¡Ã©â�1�7�1�71¤7”Å�1�7�1�71¤7"]: if msg.from_ in admin or owner: if wait["commentOn"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"already off") else: wait["commentOn"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥â�1�7�1�71¤7¦Â³Ã¦â 1�71¤7“ÂÃ£â�1�7�¬â€ 1�71¤7") elif msg.text in ["Comment","Ã§â€¢â�1�7�¢Ã¨Â¨â�1�7�¬Ã§Â¢ÂºÃ¨ÂªÂ�1�7�1�71¤7"]: if msg.from_ in admin or owner: cl.sendText(msg.to,"message changed to\n\n" + str(wait["comment"])) #--------------------------------------------------------------------------------------------------------------------- elif msg.text in ["Gurl"]: if msg.from_ in admin or owner: if msg.toType == 2: x = cl.getGroup(msg.to) if x.preventJoinByTicket == True: x.preventJoinByTicket = False cl.updateGroup(x) gurl = cl.reissueGroupTicket(msg.to) cl.sendText(msg.to,"line://ti/g/" + gurl) else: if wait["lang"] == "JP": cl.sendText(msg.to,"Can't be used outside the group") else: cl.sendText(msg.to,"Not for use less than group") #-------------------------------------------------------------------------------------------------------------------- elif msg.text in ["Comment bl "]: if msg.from_ in admin or owner: wait["wblack"] = True cl.sendText(msg.to,"add to comment bl") elif msg.text in ["Comment wl "]: if msg.from_ in admin or owner: wait["dblack"] = True cl.sendText(msg.to,"wl to comment bl") elif msg.text in ["Comment bl confirm"]: if msg.from_ in admin or owner: if wait["commentBlack"] == {}: cl.sendText(msg.to,"confirmed") else: cl.sendText(msg.to,"Blacklist") mc = "" for mi_d in wait["commentBlack"]: mc += "" +cl.getContact(mi_d).displayName + "\n" cl.sendText(msg.to,mc) elif msg.text in ["Jam on"]: if msg.from_ in admin or owner: if wait["clock"] == True: cl.sendText(msg.to,"already on") else: wait["clock"] = True now2 = datetime.now() nowT = datetime.strftime(now2,"(%H:%M)") profile = cl.getProfile() profile.displayName = wait["cName"] + nowT cl.updateProfile(profile) cl.sendText(msg.to,"done") elif msg.text in ["Jam off"]: if msg.from_ in admin or owner: if wait["clock"] == False: cl.sendText(msg.to,"already off") else: wait["clock"] = False cl.sendText(msg.to,"done") elif msg.text in ["Change clock "]: if msg.from_ in admin or owner: n = msg.text.replace("Change clock ","") if len(n.decode("utf-8")) > 13: cl.sendText(msg.to,"changed") else: wait["cName"] = n cl.sendText(msg.to,"changed to\n\n" + n) #----------------------------------------------- elif msg.text.lower() in ["mentionall","tagall"]: group = cl.getGroup(msg.to) nama = [contact.mid for contact in group.members] nm1, nm2, nm3, nm4, nm5, jml = [], [], [], [], [], len(nama) if jml <= 100: tagall(msg.to, nama) if jml > 100 and jml < 500: for i in range(0,99): nm1 += [nama[i]] tagall(msg.to, nm1) for j in range(100, len(nama)-1): nm2 += [nama[j]] tagall(msg.to, nm2) for k in range(200, len(nama)-1): nm3 += [nama[k]] tagall(msg.to, nm3) for l in range(300, len(nama)-1): nm4 += [nama[l]] tagall(msg.to, nm4) for m in range(400, len(nama)-1): nm5 += [nama[m]] tagall(msg.to, nm5) cnt = Message() cnt.text = "Results mention all : "+str(jml) + " Members" cnt.to = msg.to cl.sendText(msg.to,"Mention all success") cl.sendMessage(cnt) if jml > 500: cnt = Message() cnt.text = "" cnt.to = msg.to cl.sendMessage(cnt) #----------------------------------------------- elif msg.text in ["Bot pergi"]: if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: cl.sendText(msg.to,"Sɪᴀᴘ ʙᴏᴢᴢ!! Lasanakan!!\n\nBʏᴇ,, Bʏᴇᴇ... " + str(ginfo.name) + "\nJᴀɴɢᴀɴ Lᴜᴘᴀ Bᴀʜᴀɢɪᴀ...") cl.leaveGroup(msg.to) print "[Command]Bot pergi" except: pass #----------------------------------------------- elif "Gruplist" in msg.text: if msg.from_ in owner: gid = cl.getGroupIdsJoined() h = "" for i in gid: h += "☄ %s \n" % (cl.getGroup(i).name + " 👥 ▄ [ " + str(len (cl.getGroup(i).members))+" ]") cl.sendText(msg.to, " ☄ [ ♡List Grup♄ ] ☜\n"+ h +"Total Group ▄" +"[ "+str(len(gid))+" ]") #-----------------------------SALAM or SELAMAT-------------------------------------- elif msg.text in ["Pagi","Pagi all","Pagi semua","Pageeh","Vagi","Vageeh"]: cl.sendText(msg.to,"Pagi kak...") cl.sendText(msg.to,"Buruan mandi gih,, bau jigong tuh") cl.sendText(msg.to,"Wkwkwk") cl.sendText(msg.to,"Dan buruan sarapan 😁") elif msg.text in ["Assalamu alaikum","Salamu alaikum","Assalamu ‘alaikum"]: cl.sendText(msg.to,"وَعَلَيْكُمُ السَّلاَمُ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ") cl.sendText(msg.to,"Wa'alaikumsallam.Wr,Wb") #----------------------------------------------- elif msg.text == "Set sider": cl.sendText(msg.to, "Lurking Is Starting!! "+ datetime.today().strftime('%H:%M:%S')) try: del wait2['readPoint'][msg.to] del wait2['readMember'][msg.to] except: pass now2 = datetime.now() wait2['readPoint'][msg.to] = msg.id wait2['readMember'][msg.to] = "" wait2['ROM'][msg.to] = {} wait2['setTime'][msg.to] = datetime.today().strftime('%Y-%m-%d %H:%M:%S') print wait2 elif msg.text in ["Cek sider"]: if msg.toType == 2: print "\nRead aktif..." if msg.to in wait2['readPoint']: if wait2["ROM"][msg.to].items() == []: chiya = "" else: chiya = "" for rom in wait2["ROM"][msg.to].items(): print rom chiya += rom[1] + "\n" cl.sendText(msg.to, "Yang baca ↴\n =========================== %s\n===========================\n\nTukang nyimak ↴\n%s\n===========================\nIn the last seen point:\n[%s]\n===========================" % (wait2['readMember'][msg.to],chiya,setTime[msg.to])) print "\nReading Point Set..." try: del wait2['readPoint'][msg.to] del wait2['readMember'][msg.to] except: pass wait2['readPoint'][msg.to] = msg.id wait2['readMember'][msg.to] = "" wait2['setTime'][msg.to] = datetime.today().strftime('%Y-%m-%d %H:%M:%S') wait2['ROM'][msg.to] = {} print "lukers" cl.sendText(msg.to, "Auto Read Point!!" + (wait2['setTime'][msg.to])) else: cl.sendText(msg.to, "Ketik [Set sider] dulu") #------------------------------------- elif "Bot rename " in msg.text: if msg.from_ in admin or owner: string = msg.text.replace("Bot rename ","") if len(string.decode('utf-8')) <= 500: profile = cl.getProfile() profile.displayName = string cl.updateProfile(profile) cl.sendText(msg.to,"UpdateName => " + string + " <= Success") #----------------------------------------------- elif msg.text in ['kontol','Kontol','jancuk','Jancuk','jancok','Jancok','asu','Asu','jembut','Jembut','jembot','Jembot','tempek','Tempek','itil','Itil','makmu','Makmu','mak mu','Mak mu']: msg.contentType = 13 msg.contentMetadata = {'mid': "ua7fb5762d5066629323d113e1266e8ca',"} cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) #----------------------------------------------- elif msg.text in ["Lag"]: if msg.from_ in admin: cl.sendText(msg.to,"44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") elif msg.text in ["Sepi"]: cl.sendText(msg.to,"Mᴇɴᴛɪᴏɴᴀʟʟ Oʀ Tᴀɢᴀʟʟ") elif msg.text in ["Mister","Mr"]: cl.sendText(msg.to,"Sɪᴀᴘ ʙᴏᴢᴢ") elif msg.text in ["Test","test","Tes","tes"]: cl.sendText(msg.to,"Cᴇᴋ") cl.sendText(msg.to,"1") cl.sendText(msg.to,"2") cl.sendText(msg.to,"3") cl.sendText(msg.to,"Pᴏꜱɪᴛɪғ ʙᴏᴢᴢ") cl.sendText(msg.to,"Sᴇʟᴀᴍᴀᴛ ʏᴀ... 􀜁􀅔haha􏿿") elif msg.text in ["Woy","woy","Woi","woi","bot","Bot"]: jawab = ['Aʜ Kᴜᴘʀᴇᴛ Lᴜ','Mᴜᴋᴀ Lᴜ Kᴀʏᴀ Jᴀᴍʙᴀɴ','Aᴅᴀ Oʀᴀɴɢ ᴋᴀʜ ᴅɪꜱɪɴɪ?','Sᴀɴɢᴇ Eᴜʏ','Aᴅᴀ Pᴇʀᴀᴡᴀɴ Nɢᴀɴɢɢᴜʀ ɢᴀ Cᴏʏ?'] jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) #-------------Fungsi Spam Start---------------------# elif msg.text in ["Up","up","Up Chat","Up chat","up chat","Upchat","upchat"]: if msg.from_ in admin: cl.sendText(msg.to,"Kita nge-spam kuy!") cl.sendText(msg.to,"Kuy 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Kuy 􀜁􀅔haha􏿿") cl.sendText(msg.to,"3") cl.sendText(msg.to,"2") cl.sendText(msg.to,"1") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Kurang ga? 􀜁􀅔XD􏿿") cl.sendText(msg.to,"KURAAAANG BANYAAK") cl.sendText(msg.to,"Kurang Mastaah") cl.sendText(msg.to,"Ok!") cl.sendText(msg.to,"Tambah ya! 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Udh cukup?") cl.sendText(msg.to,"Udh cukup 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Cape nih") cl.sendText(msg.to,"Ok sudah.") cl.sendText(msg.to,"MAKASIH SEMUA 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Done") elif msg.text in ["Up up","up up"]: if msg.from_ in admin: cl.sendText(msg.to,"Ha? ada apa nih") cl.sendText(msg.to,"Di up in bos") cl.sendText(msg.to,"Butuh balon udara nggak?") cl.sendText(msg.to,"Buat di up in nih") cl.sendText(msg.to,"Gausah lah ya") cl.sendText(msg.to,"Up atuh") cl.sendText(msg.to,"Panjat bos") cl.sendText(msg.to,"Jangan panjat sosyal aja") cl.sendText(msg.to,"Panjat panjat pohon") cl.sendText(msg.to,"yiha") cl.sendText(msg.to,"Pohon aja di panjat") cl.sendText(msg.to,"Apalagi kamu.gg unch") cl.sendText(msg.to,"Maaf, harus kita up in") cl.sendText(msg.to,"Demi kebaikan bersama sayang") cl.sendText(msg.to,"Iya sayang") cl.sendText(msg.to,"Opo koe krungu?") cl.sendText(msg.to,"Jerite atiku") cl.sendText(msg.to,"Oaoee..") cl.sendText(msg.to,"Males lanjutin ah") cl.sendText(msg.to,"Sepi bat") cl.sendText(msg.to,"Iya sepi udah udah") cl.sendText(msg.to,"Gaada yang denger juga") cl.sendText(msg.to,"Yaiyalah, ini kan ketik ogeb") cl.sendText(msg.to,"Mending gua nyari BBG dulu") cl.sendText(msg.to,"Sono huss") cl.sendText(msg.to,"Up unch") cl.sendText(msg.to,"Up in dulu bos") cl.sendText(msg.to,"Ada apa nih") cl.sendText(msg.to,"Up atuh") cl.sendText(msg.to,"Maaf di up bos") elif msg.text in ["Spam"]: if msg.from_ in admin: cl.sendText(msg.to,"Aku belum mandi") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Tapi masih cantik juga") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"apalagi kalau sudah mandi") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Pasti cantik sekali") cl.sendText(msg.to,"yiha") cl.sendText(msg.to,"Kalau orang lain melihatku") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Badak aku taba bana") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Tak tuntuang") cl.sendText(msg.to,"Tapi kalau langsuang diidu") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Atagfirullah baunya") cl.sendText(msg.to,"Males lanjutin ah") cl.sendText(msg.to,"Sepi bat") cl.sendText(msg.to,"Iya sepi udah udah") cl.sendText(msg.to,"Gaada yang denger juga kita nyanyi") cl.sendText(msg.to,"Nah") cl.sendText(msg.to,"Mending gua makan dulu") cl.sendText(msg.to,"Siyap") cl.sendText(msg.to,"Okeh") cl.sendText(msg.to,"Katanya owner kita Jomblo ya") cl.sendText(msg.to,"Iya emang") cl.sendText(msg.to,"Denger denger si lagi nyari pacar doi") cl.sendText(msg.to,"Udah ah gosip mulu doain aja biar dapet") elif msg.text == "Myspam": if msg.from_ in admin: cl.sendText(msg.to,"3") cl.sendText(msg.to,"2") cl.sendText(msg.to,"1") cl.sendText(msg.to,"Fuck Off") cl.sendText(msg.to,"Ku mengejar bus yang mulai berjalan") cl.sendText(msg.to,"Ku ingin ungkapkan kepada dirimu") cl.sendText(msg.to,"Kabut dalam hatiku telah menghilang") cl.sendText(msg.to,"Dan hal yang penting bagiku pun terlihat") cl.sendText(msg.to,"Walaupun jawaban itu sebenarnya begitu mudah") cl.sendText(msg.to,"Tetapi entah mengapa diriku melewatkannya") cl.sendText(msg.to,"Untukku menjadi diri sendiri") cl.sendText(msg.to,"Ku harus jujur, pada perasaanku") cl.sendText(msg.to,"Ku suka dirimu ku suka") cl.sendText(msg.to,"Ku berlari sekuat tenaga") cl.sendText(msg.to,"Ku suka selalu ku suka") cl.sendText(msg.to,"Ku teriak sebisa suaraku") cl.sendText(msg.to,"Ku suka dirimu ku suka") cl.sendText(msg.to,"Walau susah untukku bernapas") cl.sendText(msg.to,"Tak akan ku sembunyikan") cl.sendText(msg.to,"Oogoe daiyamondo~") cl.sendText(msg.to,"Saat ku sadari sesuatu menghilang") cl.sendText(msg.to,"Hati ini pun resah tidak tertahankan") cl.sendText(msg.to,"Sekarang juga yang bisa ku lakukan") cl.sendText(msg.to,"Merubah perasaan ke dalam kata kata") cl.sendText(msg.to,"Mengapa sedari tadi") cl.sendText(msg.to,"Aku hanya menatap langit") cl.sendText(msg.to,"Mataku berkaca kaca") cl.sendText(msg.to,"Berlinang tak bisa berhenti") cl.sendText(msg.to,"Di tempat kita tinggal, didunia ini") cl.sendText(msg.to,"Dipenuhi cinta, kepada seseorang") cl.sendText(msg.to,"Ku yakin ooo ku yakin") cl.sendText(msg.to,"Janji tak lepas dirimu lagi") cl.sendText(msg.to,"Ku yakin ooo ku yakin") cl.sendText(msg.to,"Akhirnya kita bisa bertemu") cl.sendText(msg.to,"Ku yakin ooo ku yakin") cl.sendText(msg.to,"Ku akan bahagiakan dirimu") cl.sendText(msg.to,"Ku ingin kau mendengarkan") cl.sendText(msg.to,"Oogoe daiyamondo~") cl.sendText(msg.to,"Jika jika kamu ragu") cl.sendText(msg.to,"Takkan bisa memulai apapun") cl.sendText(msg.to,"Ungkapkan perasaanmu") cl.sendText(msg.to,"Jujurlah dari sekarang juga") cl.sendText(msg.to,"Jika kau bersuar") cl.sendText(msg.to,"Cahaya kan bersinar") cl.sendText(msg.to,"Ku suka dirimu ku suka") cl.sendText(msg.to,"Ku berlari sekuat tenaga") cl.sendText(msg.to,"Ku suka selalu ku suka") cl.sendText(msg.to,"Ku teriak sebisa suaraku") cl.sendText(msg.to,"Ku suka dirimu ku suka") cl.sendText(msg.to,"Sampaikan rasa sayangku ini") cl.sendText(msg.to,"Ku suka selalu ku suka") cl.sendText(msg.to,"Ku teriakkan ditengah angin") cl.sendText(msg.to,"Ku suka dirimu ku suka") cl.sendText(msg.to,"Walau susah untuk ku bernapas") cl.sendText(msg.to,"Tak akan ku sembunyikan") cl.sendText(msg.to,"Oogoe daiyamondo~") cl.sendText(msg.to,"Katakan dengan berani") cl.sendText(msg.to,"Jika kau diam kan tetap sama") cl.sendText(msg.to,"Janganlah kau merasa malu") cl.sendText(msg.to,"“Suka” itu kata paling hebat!") cl.sendText(msg.to,"“Suka” itu kata paling hebat!") cl.sendText(msg.to,"“Suka” itu kata paling hebat!") cl.sendText(msg.to,"Ungkapkan perasaanmu") cl.sendText(msg.to,"Jujurlah dari sekarang juga..") cl.sendText(msg.to,"Anugerah terindah adalah ketika kita masih diberikan waktu untuk berkumpul bersama orang-orang yang kita sayangi.") cl.sendText(msg.to,"Cuma dirimu seorang yang bisa meluluhkan hati ini. Kamulah yang terindah dalam hidupku.") cl.sendText(msg.to,"Aku ingin meraih kembali cintamu menjadi kenyataan. Saat diriku dalam siksaan cinta, dirimu melenggang pergi tanpa pernah memikirkan aku.") cl.sendText(msg.to,"Tak ada yang salah dengan CINTA. Karena ia hanyalah sebuah kata dan kita sendirilah yang memaknainya.") cl.sendText(msg.to,"Mencintaimu adalah inginku. memilikimu adalah dambaku. meski jarak jadi pemisah, hati tak akan bisa terpisah.") cl.sendText(msg.to,"Dalam cinta ada bahagia, canda, tawa, sedih, kecewa, terluka, semua itu tidak akan terlupakan dalam hal cinta, itu yang artinya cinta.") cl.sendText(msg.to,"Seseorang yang berarti, tak akan dengan mudah kamu miliki. Jika kamu sungguh mencintai, jangan pernah berhenti berusaha untuk hati.") cl.sendText(msg.to,"Jika esok pagi menjelang, akan aku tantang matahari yang terbangun dari tidur lelap nya.") cl.sendText(msg.to,"Ketulusan cinta hanya dapat dirasakan mereka yang benar-benar mempunyai hati tulus dalam cinta.") cl.sendText(msg.to,"Kamu tak perlu menjadikan dirimu cantik/ganteng untuk bisa memilikiku, kamu hanya perlu menunjukkan bahwa aku membutuhkanmu.") cl.sendText(msg.to,"Ada seribu hal yang bisa membuatku berpikir ununtuk meninggalkanmu, namun ada satu kata yang membuatku tetap disini. Aku Cinta Kamu.") cl.sendText(msg.to,"Aku pernah jatuhkan setetes air mata di selat Sunda. Di hari aku bisa menemukannya lagi, itulah waktunya aku berhenti mencintaimu.") cl.sendText(msg.to,"Cinta adalah caraku bercerita tentang dirimu, caraku menatap kepergian mu dan caraku tersenyum, saat menatap indah wajahmu.") cl.sendText(msg.to,"Datang dan pergi seperti angin tidak beraturan dan arah merasakan cinta dalam kehidupan kadang ku bahagia kadang ku bersedih.") cl.sendText(msg.to,"Cinta adalah caraku bercerita tentang dirimu, caraku menatap kepergian mu dan caraku tersenyum, saat menatap indah wajahmu.") cl.sendText(msg.to,"Saat jarak memisahkan, satu yang harus kamu ketahui. Akan aku jaga cinta ini ununtukmu.") cl.sendText(msg.to,"Bersandarlah di pundaku sampai kau merasakan kenyamanan, karena sudah keharusan bagiku ununtuk memberikanmu rasa nyaman.") cl.sendText(msg.to,"Air mata merupakan satu-satunya cara bagimana mata berbicara ketika bibir tidak mampu menjelaskan apa yang membuatmu terluka.") cl.sendText(msg.to,"Hidup tidak bisa lebih baik tanpa ada cinta, tapi cinta dengan cara yang salah akan membuat hidupmu lebih buruk.") cl.sendText(msg.to,"Mencintaimu hanya butuh waktu beberapa detik, namun untuk melupakanmu butuh waktu seumur hidupku.") cl.sendText(msg.to,"Hidup tidak bisa lebih baik tanpa ada cinta, tapi cinta dengan cara yang salah akan membuat hidupmu lebih buruk.") cl.sendText(msg.to,"Mencintaimu hanya butuh waktu beberapa detik, namun ununtuk melupakanmu butuh waktu seumur hidupku.") cl.sendText(msg.to,"Cinta merupakan keteguhan hati yang ditambatkan pada kemanusiaan yang menghubungkan masa lalu, masa kini dan masa depan.") cl.sendText(msg.to,"Ketika mencintai seseorang, cintailah apa adanya. Jangan berharap dia yang sempurna, karena kesempurnaan adalah ketika mencinta tanpa syarat.") cl.sendText(msg.to,"Cinta bukanlah tentang berapa lama kamu mengenal seseorang, tapi tentang seseorang yang membuatmu tersenyum sejak kamu mengenalnya.") cl.sendText(msg.to,"Ketika mereka bertanya tentang kelemahanku, aku ingin mengatidakan bahwa kelemahanku itul adalah kamu. Aku merindukanmu di mana-mana dan aku sanagat mencintaimu.") cl.sendText(msg.to,"Kehadiranmu dalam hidupku, aku tahu bahwa aku bisa menghadapi setiap tantangan yang ada di hadapanku, terima kasih telah menjadi kekuatanku.") cl.sendText(msg.to,"Meneriakkan namamu di deras hujan, memandangmu dari kejauhan, dan berdo’a di hening malam. Cinta dalam diam ini lah yang mampu kupertahankan.") cl.sendText(msg.to,"Perempuan selalu menjaga hati orang yang dia sayangsehingga hati dia sendiri tersiksa. inilah pengorbanan perempuan ununtuk lelaki yang tidak pernah sadar.") cl.sendText(msg.to,"Ketika kau belum bisa mengambil keputusan ununtuk tetap bertahan dengan perasaan itu, sabarlah, cinta yang akan menguatkanmu.") cl.sendText(msg.to,"Aku tidak akan pernah menjajikan ununtuk sebuah perasaan, tapi aku bisa menjanjikan ununtuk sebuah kesetiaan.") cl.sendText(msg.to,"Cinta yang sebenarnya tidak buta, cinta yaitu adalah hal yang murni, luhur serta diharapkan. Yang buta itu jika cinta itu menguasai dirimu tanpa adanya suatu pertimbangan.") cl.sendText(msg.to,"Aku tercipta dalam waktu, ununtuk mengisi waktu, selalu memperbaiki diri di setiap waktu, dan semua waktu ku adalah ununtuk mencintai kamu.") cl.sendText(msg.to,"Cinta akan indah jika berpondasikan dengan kasih sang pencipta. Karena sesungguhnya Cinta berasal dari-Nya Dan cinta yang paling utama adalah cinta kepada Yang Kuasa.") cl.sendText(msg.to,"Bagi aku, dalam hidup ini, hidup hanya sekali, cinta sekali dan matipun juga sekali. Maka tidak ada yang namanya mendua.") cl.sendText(msg.to,"Tuhan..jagalah ia yang jauh disana, lindungi tiap detik hidup yang ia lewati,sayangi dia melebihi engkau menyayangiku.") cl.sendText(msg.to,"Kapan kau akan berhenti menyakitiku, lelah ku hadapi semua ini tapi aku tidak bisa memungkiri aku sangat mencintaimu.") cl.sendText(msg.to,"Ketidakutan terbesar dalam hidupku bukan kehilanganmu, tapi melihat dirimu kehilangan kebahagiaanmu.") cl.sendText(msg.to,"Cinta yang sesungguhnya akan mengatidakan aku butuh kamu karna aku siap ununtuk mencintaimu dan menjalani suka duka bersamamu") cl.sendText(msg.to,"Seseorang pacar yang baik adalah dia yang JUJUR dan tidak pernah membuat kamu selalu bertanya-tanya atau selalu mencurigai dia") cl.sendText(msg.to,"Cinta bukanlah sebuah kata cinta, yang sebenarnya adalah cinta yang menyentuh hati dan perasaan") cl.sendText(msg.to,"Kau datang di saat ke egoisan akan cinta tengah mendera. Membawa cahaya dan kedamaian, membuatku tidak mudah menyerah ununtuk merengkuh kisah cinta bersamamu") cl.sendText(msg.to,"Aku sangat menyukai kebersamaan karena kebersamaan mengajarkan kita tentang suka dan duka di lalui bersama") cl.sendText(msg.to,"Mungkin Tuhan sengaja memberi kita berjumpa dengan orang yang salah sebelum menemui insan yang betul supaya apabila kita akhirnya menemui insan yang betul, kita akan tahu bagaimana ununtuk bersyukur dengan pemberian dan hikmah di balik pemberian tersebut.") cl.sendText(msg.to,"Getaran di hatiku yang lama haus akan belaianmu seperti saat dulu dan kau bisikan kata ‘aku cinta padamu’ aku merindukannya") cl.sendText(msg.to,"Terkadang air mata adalah tanda kebahagiaan yang tidak terucapkan. Dan senyuman adalah tanda sakit yang mencoba ununtuk kuat") cl.sendText(msg.to,"Dicintai dan disayangi kamu adalah anugerah terindah yang tuhan berikan padaku.") cl.sendText(msg.to,"Mencintai kamu butuh waktu beberapa detik, Namun melupakanmu butuh waktu ku seumur hidup.") cl.sendText(msg.to,"Datang dan pergi seperti angin tidak beraturan dan arah merasakan cinta dalam kehidupan kadang aku bahagia dan juga kadang aku bersedih.") cl.sendText(msg.to,"Air mata merupakan satu-satunya cara bagimana mata berbicara ketika bibir tidak mampu lagi menjelaskan apa yang membuatmu terluka.") cl.sendText(msg.to,"Jauh sebelum bertemu denganmu, aku telah mengenalmu dalam doaku.") cl.sendText(msg.to,"Mungkin dia tidak sadar bahwa aku itu cemburu dan mungkin juga dia tidak merasa bahwa aku sangat terluka, tidak mendengar bahwa hatiku sedang menangis.") cl.sendText(msg.to,"Kehadirmu membawa cinta, memberi bahagia, dan juga rasa rindu yang tiada pernah ada akhirnya.") cl.sendText(msg.to,"Aku nngak mau jadi wakil rakyat, aku maunya jadi wali murid yang ngambil raport anak kita besok.") cl.sendText(msg.to,"Seperti hujan yang turun di tanah yang tandus, seperti itulah arti hadirmu dengan cinta dan kasih sayang untukku.") cl.sendText(msg.to,"Tanda-tanda cinta adalah ketika anda merasa bahwa kebahagiaan orang tersebut lebih penting daripada kebahagiaanmu sendiri.") cl.sendText(msg.to,"Cinta tidak hanya apa yang anda rasakan, tetapi apa yang harus anda lakukan.") cl.sendText(msg.to,"Cinta adalah sebuah kekuatan untuk melihat kesamaan dan tidak kesamaan.") cl.sendText(msg.to,"Cinta adalah pengalaman penuh emosi yang dirasakan banyak orang tetapi hanya beberapa orang saja yang bisa menikmatinya.") cl.sendText(msg.to,"Cinta adalah berbagi. Karena walau ada di dua raga yang berbeda, setiap pasangan hanya memiliki satu hati.") cl.sendText(msg.to,"Saat kita berjauhan, sebenarnya hanya raga kitalah yang jauh. Namun hati kita selalu dekat, karena hatiku ada di hatimu.") cl.sendText(msg.to,"Cinta datang dengan pengorbanan yang akan memberikan petunjuk siapa diri kita yang sebenarnya.") cl.sendText(msg.to,"Cinta begitu lembut dan merdu, namun jangan kau gunankan untuk merayu. Karena rayuan hanyalah akan mengosongkan makna kecintaan yang sesungguhnya.") cl.sendText(msg.to,"Cinta bukanlah penuntutan, penguasaan, pemaksaan, dan pengintimidasian. Tak lain itu hanyalah cara manusia mendefinisikannya. Karena cinta adalah perjuangan, pengorbanan, tanggungjawab, kejujuran, dan keikhlasan.") cl.sendText(msg.to,"Derajat cinta hanya bisa diukur dengan seberapa besar “Pemberian” yang kita korbankan.") elif msg.text in ["Ngantuk","Sleep","Nite","Good night"]: cl.sendText(msg.to,"Have a nice dream 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Have a nice dream 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Have a nice dream 􀜁􀅔Har Har􏿿") elif msg.text in ["Pekok","Pea","Dudul"]: cl.sendText(msg.to,"􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"􀜁􀅔Har Har􏿿") elif msg.text in ["PING","Ping","ping"]: cl.sendText(msg.to,"PONG 􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"PONG 􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"PONG 􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") elif msg.text in ["Bot resek ae coeg","Berisik","Rame ae","Rame wae","Sepi bet","Sepi banget","Sepi Bgt"]: cl.sendText(msg.to,"Kasian dy jones 􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") elif "Pap creator" in msg.text: tanya = msg.text.replace("Pap creator","") link = ["http://dl.profile.line-cdn.net/0hMJ3w03iOEmUODj51FXRtMjJLHAh5IAMtYGhbUHsOSAclNlYxMW4NAnxaSgEmOAUxZThaCikPRFVz","http://dl.profile.line-cdn.net/0hMJ3w9GpxEmUODj6JvWxtMjJLHAh5IAMtYGhbUHsOSAclNlYxMW4NAnxaSgEmOAUxZThaCikPRFVz","http://dl.profile.line-cdn.net/0hMJ3wzUdrEmUODj6JveNtMjJLHAh5IAMtYGhbUHsOSAclNlYxMW4NAnxaSgEmOAUxZThaCikPRFVz","http://dl.profile.line-cdn.net/0hMJ3w5Xh8EmUODj6JvY9tMjJLHAh5IAMtYGhbUHsOSAclNlYxMW4NAnxaSgEmOAUxZThaCikPRFVz"] pilih = random.choice(link) cl.sendImageWithURL(msg.to,pilih) #---------------------- elif "Pap cecan" in msg.text: tanya = msg.text.replace("Pap cecan","") jawab = ("https://i.pinimg.com/736x/fa/b0/de/fab0def5ba3108d51ba40747791bb089.jpg","https://i.pinimg.com/736x/8b/c6/0e/8bc60e8fd6fb5d142a074b6d2cf5c7ed.jpg","https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcQAa0KQ8XfoVfKRh82Ys63AX3VcuPml1JJFLk7iTEtMpmd7OzbN-yk_MGK6","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRPMwr1Igswf8wgrTURHbGAt9jn54SvimA6Ps6W6lCtItkrh4I-kA","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRg5SRVDjILsjUyBeLkBnbV96kX22_1mplLyjfCKws6nv8E_VtMDyV07e56bw","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTOXZ4yFF8R8vPVmEl21Txhvzh4YpUJkJ2uuO3KQLUzYIEVsuT9") jawaban = random.choice(jawab) cl.sendImageWithURL(msg.to,jawaban) #----------------------------------------------- #---------------------- elif "Pap cogan" in msg.text: tanya = msg.text.replace("Pap cogan","") jawab = ("https://i.pinimg.com/736x/41/9b/a5/419ba5606edf61dbab6dfdcc8014624d.jpg","https://i.pinimg.com/736x/38/9c/b1/389cb1203841730a1a8ba322daa7ecb0.jpg","https://i.pinimg.com/736x/76/e3/dc/76e3dc311ddbd61f666083b963910cea.jpg","https://i.pinimg.com/736x/e4/96/67/e496676ca6ea785c8ca5d28f514f9b69.jpg","https://i.pinimg.com/736x/c7/c9/d6/c7c9d6ee5e7d5214d89e3d8bab964497.jpg","https://i.pinimg.com/736x/98/79/5c/98795c07ad9b84ef22e4a6c2cdb135cc.jpg","https://i.pinimg.com/736x/63/fe/b0/63feb07620c1fab54e98ed2139be8aae.jpg","https://i.pinimg.com/736x/66/fc/f2/66fcf2d7d405398f8f163c4ea61aafbf.jpg","https://i.pinimg.com/736x/d9/52/ca/d952caf7b7de45d70f058be2b44e28b3.jpg","https://i.pinimg.com/736x/34/59/c5/3459c5208c819675eff6273210eed009.jpg","https://i.pinimg.com/736x/2a/55/76/2a557666df14a2594f6f3aade212021e.jpg","https://i.pinimg.com/736x/f0/b7/d5/f0b7d5140ec2fb65e58a53bef4506b52.jpg","https://i.pinimg.com/736x/ea/7b/4d/ea7b4d364c0150060e6b9bca249527b9.jpg","https://i.pinimg.com/736x/05/45/a4/0545a45040b9e368726bc134abf78075.jpg","https://i.pinimg.com/736x/f5/92/3a/f5923a99bfd83e0d8f7c0362e649c33a.jpg","http://dl.profile.line-cdn.net/0hMJ3wh4HFEmUODj6JvBNtMjJLHAh5IAMtYGhbUHsOSAclNlYxMW4NAnxaSgEmOAUxZThaCikPRFVz") jawaban = random.choice(jawab) cl.sendImageWithURL(msg.to,jawaban) #---------------------- elif "Pap abs" in msg.text: tanya = msg.text.replace("Pap abs","") jawab = ("https://i.pinimg.com/736x/80/1f/e8/801fe86de5b3768ac2994230b1a579e2.jpg","https://i.pinimg.com/736x/a0/e4/89/a0e489d5aeb8cc33c902f49b3b1f8006.jpg","https://i.pinimg.com/736x/91/b0/ee/91b0ee956c46b29f74b0e6d015be3255.jpg","https://i.pinimg.com/736x/f4/92/4d/f4924d75fe3170a73929fa3408592c86.jpg","https://i.pinimg.com/736x/d5/31/ba/d531ba0b7e72056eaedffa54620707e9.jpg","https://i.pinimg.com/736x/51/9b/99/519b9954e1b2ca5f4ab18a4e7c325619.jpg","https://i.pinimg.com/736x/3c/31/8c/3c318cae8e2a5e41ea1ed326737bf12f.jpg","https://i.pinimg.com/736x/87/d3/cb/87d3cb48f2e8eef33a49cd28d971d14b.jpg","https://i.pinimg.com/736x/0d/a3/57/0da357eeeeb9711317f2755a525d07db.jpg","https://i.pinimg.com/736x/09/7a/22/097a2296802dc6535edf1f10d35e64e8.jpg","https://i.pinimg.com/736x/e7/75/cc/e775cc97b9d52777f561daf284ace68b.jpg","https://i.pinimg.com/736x/76/bd/bf/76bdbfa728dcc6dfdd90cb816310af75.jpg","https://i.pinimg.com/736x/49/3a/98/493a988a4872216568844b319f022ac9.jpg","https://i.pinimg.com/736x/f0/f1/cf/f0f1cf3a347dd44c7416ca7baf2da7ed.jpg") jawaban = random.choice(jawab) cl.sendImageWithURL(msg.to,jawaban) #-----------------------------------------------#---------------------- #---------------------- elif "Pap toket" in msg.text: tanya = msg.text.replace("Pap toket","") jawab = ("https://encrypted-tbn2.gstatic.com/images?q=tbn:ANd9GcTilO50kExe4q_t-l8Kfn98sxyrHcbWPWCu2GP2SNgg8XWGMaZc8h5zaxAeVA","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQKgSYYgB33GP3LAvVSYxKjDlbPokmtzSWjbWJogz8lbZMNSyvqJTE3qWpwBg","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTgwKO_CAdZpSlXVVfA29qglGQR00WHkeqq4JakyYDuzIW2tKhvGg","https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcSC3ZMq4PnCX5dj7Fc_N6HOG6R_XrmOM7r6uBtpEcBfbO4hMEXQirK_lU_ePw","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRgynJUxS4uYgaIiV_R6e4FY62QfhYRUEgYZg6psfJzWH_ci4dFng") jawaban = random.choice(jawab) cl.sendImageWithURL(msg.to,jawaban) #-----------------------------------------------#---------------------- elif "Pap anu" in msg.text: tanya = msg.text.replace("Pap anu","") jawab = ("https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcQFFKdXErF56KzAa4oWnWQT34jmGKJ66lj1g0hnN4zwYh9GgW0dHWZfRnuM","https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcQTn4_JMD1ZAg-XIk6JZ1Crhz9gtXEIS8AcjTA3SYmazAutt7ekHw","https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcTIVuITo7KicaU6UwPhol1Rvkq4aQwznly8Xl2SiTlAa_1FrSHuwhwV5XoElA") jawaban = random.choice(jawab) cl.sendImageWithURL(msg.to,jawaban) elif msg.text in ["Raisa"]: try: cl.sendImageWithURL(msg.to, "https://cdn.brilio.net/news/2017/05/10/125611/750xauto-selalu-tampil-cantik-memesona-ini-harga-10-sepatu-raisa-andriana-170510q.jpg") except Exception as e: cl.sendMessage(msg.to, str(e)) #----------------------------------------------- elif msg.text in ["Mode:on","mode:on"]: if msg.from_ in admin or owner: if wait["Wc"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ joιn on") else: wait["Wc"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"already on") if wait["Lv"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ leave on") else: wait["Lv"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"already on") if wait["tag"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"Already on") else: cl.sendText(msg.to,"Tag On") else: wait["tag"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"Tag On") else: cl.sendText(msg.to,"already on") #================================================= elif msg.text in ["Mode Off","mode off"]: if msg.from_ in admin or owner: if wait["Wc"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ joιn oғғ") else: wait["Wc"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Nayapa yg gabung already oғғ") if wait["Lv"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ leave oғғ") else: wait["Lv"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Nayapa yg left already oғғ") if wait["tag"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"Already Tag off") else: cl.sendText(msg.to,"Tag Off") else: wait["tag"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Tag Off") else: cl.sendText(msg.to,"Already Tag off") #=================================================== elif msg.text in ["Creator"]: msg.contentType = 13 msg.contentMetadata = {'mid': "u3cfa63811888b3a880bc4f348a95b23b"} cl.sendMessage(msg) cl.sendText(msg.to,'Mʏ Cʀᴇᴀᴛᴏʀ👉 line.me/ti/p/~tak.dapat.tidur') #-------------Fungsi Creator Finish-----------------# elif "Spam: " in msg.text: txt = msg.text.split(" ") jmlh = int(txt[2]) teks = msg.text.replace("Spam: "+str(txt[1])+" "+str(jmlh)+" ","") tulisan = jmlh * (teks+"\n") #Vicky Kull~ if txt[1] == "on": if jmlh <= 100000: for x in range(jmlh): cl.sendText(msg.to, teks) else: cl.sendText(msg.to, "Out of Range!") elif txt[1] == "off": if jmlh <= 100000: cl.sendText(msg.to, tulisan) else: cl.sendText(msg.to, "Out Of Range!") #---------------------------------------------------- elif "Botstatus " in msg.text: if msg.from_ in admin or owner: string = msg.text.replace("Botstatus ","") if len(string.decode('utf-8')) <= 500: profile = cl.getProfile() profile.statusMessage = string cl.updateProfile(profile) else: cl.sendText(msg.to,"Done") #----------------------------------------------- elif "dubbing " in msg.text.lower(): say = msg.text.lower().replace("dubbing ","") lang = 'id' tts = gTTS(text=say, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") #-------------------- elif 'wikipedia: ' in msg.text.lower(): try: wiki = msg.text.lower().replace("wikipedia: ","") wikipedia.set_lang("id") pesan="Title (" pesan+=wikipedia.page(wiki).title pesan+=")\n\n" pesan+=wikipedia.summary(wiki, sentences=3) pesan+="\n" pesan+=wikipedia.page(wiki).url cl.sendText(msg.to, pesan) except: try: pesan="Over Text Limit! Please Click link\n" pesan+=wikipedia.page(wiki).url cl.sendText(msg.to, pesan) except Exception as e: cl.sendText(msg.to, str(e)) #----------------------------------------------- elif "Apakah " in msg.text: tanya = msg.text.replace("Apakah ","") jawab = ("Ya","Tidak","Bisa Jadi","Mungkin") jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) cl.sendText(msg.to,jawaban) cl.sendText(msg.to,jawaban) #----------------------------------------------- elif "Dosa @" in msg.text: tanya = msg.text.replace("Dosa @","") jawab = ("60%","70%","80%","90%","100%","Tak terhingga") jawaban = random.choice(jawab) cl.sendText(msg.to,"Dosanya " + tanya + "adalah " + jawaban + "\nBanyak banyak tobat Nak ") elif "Pahala @" in msg.text: tanya = msg.text.replace("Pahala @","") jawab = ("0%","20%","40%","50%","60%","Tak ada") jawaban = random.choice(jawab) cl.sendText(msg.to,"Pahalanya " + tanya + "adalah " + jawaban + "\nTobatlah nak") #----------------------------------------------- elif "Steal group" in msg.text: group = cl.getGroup(msg.to) path =("http://dl.profile.line-cdn.net/" + group.pictureStatus) cl.sendImageWithURL(msg.to, path) #----------------------------------------------- elif "Name: @" in msg.text: _name = msg.text.replace("Name: @","") _nametarget = _name.rstrip(" ") gs = cl.getGroup(msg.to) for h in gs.members: if _nametarget == h.displayName: cl.sendText(msg.to,"[DisplayName]:\n" + h.displayName ) else: pass elif "Bio: @" in msg.text: _name = msg.text.replace("Bio: @","") _nametarget = _name.rstrip(" ") gs = cl.getGroup(msg.to) for h in gs.members: if _nametarget == h.displayName: cl.sendText(msg.to,"[Status]:\n" + h.statusMessage ) else: pass elif "Getprofile:" in msg.text: key = eval(msg.contentMetadata["MENTION"]) key1 = key["MENTIONEES"][0]["M"] contact = cl.getContact(key1) cu = cl.channel.getCover(key1) path = str(cu) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus try: cl.sendText(msg.to,"Nᴀᴍᴀ :\n" + contact.displayName + "\n\nBɪᴏ :\n" + contact.statusMessage) cl.sendText(msg.to,"Pʀᴏғɪʟᴇ Pɪᴄᴛᴜʀᴇ " + contact.displayName) cl.sendImageWithURL(msg.to,image) cl.sendText(msg.to,"Cᴏᴠᴇʀ " + contact.displayName) cl.sendImageWithURL(msg.to,path) except: pass elif "Getinfo:" in msg.text: key = eval(msg.contentMetadata["MENTION"]) key1 = key["MENTIONEES"][0]["M"] contact = cl.getContact(key1) cu = cl.channel.getCover(key1) try: cl.sendText(msg.to,"[Dɪꜱᴘʟᴀʏ Nᴀᴍᴇ]:\n" + contact.displayName + "\n\n[Mɪᴅ]:\n" + contact.mid + "\n\n[Bɪᴏ]:\n" + contact.statusMessage + "\n\n[Pʀᴏғɪʟᴇ Pɪᴄᴛᴜʀᴇ]:\nhttp://dl.profile.line-cdn.net/" + contact.pictureStatus + "\n\n[Cᴏᴠᴇʀ]:\n" + str(cu)) except: cl.sendText(msg.to,"[Dɪꜱᴘʟᴀʏ Nᴀᴍᴇ]:\n" + contact.displayName + "\n\n[Mɪᴅ]:\n" + contact.mid + "\n\n[Bɪᴏ]:\n" + contact.statusMessage + "\n\n[Pʀᴏғɪʟᴇ Pɪᴄᴛᴜʀᴇ]:\n" + str(cu)) elif "Contact:" in msg.text: key = eval(msg.contentMetadata["MENTION"]) key1 = key["MENTIONEES"][0]["M"] mmid = cl.getContact(key1) msg.contentType = 13 msg.contentMetadata = {"mid": key1} cl.sendMessage(msg) elif "Info: @" in msg.text: _name = msg.text.replace("Info: @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: xname = g.displayName xlen = str(len(xname)+1) msg.contentType = 0 kelamin = ("Waria","Laki-laki","Perempuan","Tidak Diketahui","Bencong","Kalau pagi cowo","Kalau pagi cewe") wajah = ("Standar","Ganteng","Cantik","Beruk","Hancur","Kembaran miper","Tidak beraturan") status = ("Menikah","Pacaran","Jones","Gamon dari mantan") k = random.choice(kelamin) w = random.choice(wajah) s = random.choice(status) cl.sendText(msg.to,"Dᴇᴛᴀɪʟ ɪɴғᴏ :\n Nᴀᴍᴀ : "+xname+"\n Kᴇʟᴀᴍɪɴ : "+k+"\n Wᴀᴊᴀʜ : "+w+"\n Sᴛᴀᴛᴜꜱ Kᴇʜɪᴅᴜᴘᴀɴ : "+s) elif "Status: @" in msg.text: _name = msg.text.replace("Status: @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: xname = g.displayName xlen = str(len(xname)+1) msg.contentType = 0 kelamin = ("Keturunan darah biru","Keturunan darah kotor","Saudaranya miper","Keturunan kerajaan","Keturunan ubab","Anaknya miper","Kembaran dijjah") wajah = ("Gajelas","Digantungin doi","Status ngambang kek anu","Pacaran","Bentar lagi Nikah","Menikah","Jomblo","Jonez seumur hidup","Menyedihkan") status = ("Jodohnya miper","Jodohnya Dijjah","Jodohnya artis","Jodohnya dari khayangan","Gapunya jodoh","Jodohnya ganti ganti","Kan jonez gapunya jodoh:'v") k = random.choice(kelamin) w = random.choice(wajah) s = random.choice(status) cl.sendText(msg.to,"Dᴇᴛᴀɪʟ ɪɴғᴏ :\n Nᴀᴍᴀ : "+xname+"\n Kᴇʟᴀᴍɪɴ : "+k+"\n Sᴛᴀᴛᴜꜱ : "+w+"\n Jᴏᴅᴏʜ : "+s) elif "love " in msg.text: tanya = msg.text.replace("love ","") jawab = ("10%\nCoba lah untuk melupakan","20%\nKu tak tau lagi:'","30%\nButuh perjuangan yang berat inih","40%\nCobalah saling mencimtai dengan tulus\nIngatlah kenangan indah kalian","50%\nSegeralah mengerti satu sama lain","60%\nLebih perhatian lagi oke","70%\nAyo sedikit lagi","80%\nWahhh, ada kemungkinan kalian jodoh","90%\nAyo sedikit lgi kak","100%\nKeterangan Moga - Moga Langgeng Ya Kak","0%\nKeterangan Ngak Cinta Sama Sekali :v") jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) elif msg.text in ["Ajg","Bgst","Bacot","Tai","Bazeng","Anjir","Fck","Fuck","Najiz","Bego","Najis"]: # if msg.from_ in admin: cl.sendText(msg.to,"Hayo jangan ngomong kasar kak") cl.sendText(msg.to,"Aku kick nih.gg") if msg.contentType == 16: if wait['likeOn'] == True: url = msg.contentMetadata["postEndUrl"] cl.like(url[25:58], url[66:], likeType=1005) cl.like(url[25:58], url[66:], likeType=1002) cl.like(url[25:58], url[66:], likeType=1004) cl.like(url[25:58], url[66:], likeType=1003) cl.like(url[25:58], url[66:], likeType=1001) cl.comment(url[25:58], url[66:], wait["comment1"]) cl.comment(url[25:58], url[66:], wait["comment2"]) cl.comment(url[25:58], url[66:], wait["comment3"]) cl.comment(url[25:58], url[66:], wait["comment4"]) cl.comment(url[25:58], url[66:], wait["comment5"]) cl.sendText(msg.to,"Like Success") wait['likeOn'] = False if op.type == 26: msg = op.message if msg.to in settings["simiSimi"]: if settings["simiSimi"][msg.to] == True: if msg.text is not None: text = msg.text r = requests.get("http://api.ntcorp.us/chatbot/v1/?text=" + text.replace(" ","+") + "&key=beta1.nt") data = r.text data = json.loads(data) if data['status'] == 200: if data['result']['result'] == 100: cl.sendText(msg.to,data['result']['response'].encode('utf-8')) #----------------------------------------------- elif "zodiak " in msg.text: tanggal = msg.text.replace("zodiak ","") r=requests.get('https://script.google.com/macros/exec?service=AKfycbw7gKzP-WYV2F5mc9RaR7yE3Ve1yN91Tjs91hp_jHSE02dSv9w&nama=ervan&tanggal='+tanggal) data=r.text data=json.loads(data) lahir = data["data"]["lahir"] usia = data["data"]["usia"] ultah = data["data"]["ultah"] zodiak = data["data"]["zodiak"] cl.sendText(msg.to,"Tanggal Lahir: "+lahir+"\n\nUsia: "+usia+"\n\nUltah: "+ultah+"\n\nZodiak: "+zodiak) #---------------------------------------------- elif "Stalk " in msg.text: print "[Command]Stalk executing" stalkID = msg.text.replace("Stalk ","") subprocess.call(["instaLooter",stalkID,"tmp/","-n","1"]) files = glob.glob("tmp/.jpg") for file in files: os.rename(file,"tmp/tmp.jpg") fileTmp = glob.glob("tmp/tmp.jpg") if not fileTmp: cl.sendText(msg.to, "Image not found, maybe the account haven't post a single picture or the account is private") print "[Command]Stalk,executed - no image found" else: image = upload_tempimage(client) cl.sendText(msg.to, format(image['link'])) subprocess.call(["sudo","rm","-rf","tmp/tmp.jpg"]) print "[Command]Stalk executed - succes" #------------------------------------------------------------- elif "Gbc: " in msg.text: if msg.from_ in admin or owner: bctxt = msg.text.replace("Gbc: ", "") n = cl.getGroupIdsJoined() for manusia in n: cl.sendText(manusia, (bctxt)) elif "Pm cast: " in msg.text: if msg.from_ in admin or owner: bctxt = msg.text.replace("Pm cast: ", "") t = cl.getAllContactIds() for manusia in t: cl.sendText(manusia,(bctxt)) elif "Fbc: " in msg.text: if msg.from_ in admin or owner: bctxt = msg.text.replace("Fbc: ", "") t = cl.getAllContactIds() for manusia in t: cl.sendText(manusia, (bctxt)) #------------------------------------------------------ elif "Gethome @" in msg.text: print "[Command]cover executing" _name = msg.text.replace("Gethome @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: contact = cl.getContact(target) cu = cl.channel.getCover(target) path = str(cu) cl.sendImageWithURL(msg.to, path) except Exception as e: raise e print "[Command]cover executed" #----------------------------------------------- elif "Getpp @" in msg.text: print "[Command]dp executing" _name = msg.text.replace("Getpp @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: contact = cl.getContact(target) path = "http://dl.profile.line-cdn.net/" + contact.pictureStatus cl.sendImageWithURL(msg.to, path) except Exception as e: raise e print "[Command]dp executed" #-------------------------------------------- elif msg.text in ["Steal contact"]: wait["contact"] = True cl.sendText(msg.to,"Send Contact") elif msg.text in ["Like:me","Like me"]: #Semua Bot Ngelike Status Akun Utama print "[Command]Like executed" cl.sendText(msg.to,"Like Status Owner") try: likeme() except: pass elif msg.text in ["Like:friend","Like friend"]: #Semua Bot Ngelike Status Teman print "[Command]Like executed" cl.sendText(msg.to,"Like Status Teman") try: likefriend() except: pass elif msg.text in ["Auto like"]: wait["likeOn"] = True cl.sendText(msg.to,"Shere Post Kamu Yang Mau Di Like!") elif msg.text in ["Steal contact"]: wait["steal"] = True cl.sendText(msg.to,"Send Contact") elif msg.text in ["Giftbycontact"]: wait["gift"] = True cl.sendText(msg.to,"Send Contact") elif msg.text in ["Autolike on"]: if wait["likeOn"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"Done。") else: wait["likeOn"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"Already。") elif msg.text in ["Autolike off"]: if wait["likeOn"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"Done。") else: wait["likeOn"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Already") #-------------------------- elif msg.text in ["Njoin on"]: if wait["Wc"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ joιn on") else: wait["Wc"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"already on") elif msg.text in ["Njoin off"]: if wait["Wc"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ joιn oғғ") else: wait["Wc"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"already oғғ") #-------------------------- elif msg.text in ["Nleave on"]: if wait["Lv"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ leave on") else: wait["Lv"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"already on") elif msg.text in ["Nleave off"]: if wait["Lv"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ leave oғғ") else: wait["Lv"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"already oғғ") elif msg.text in ["Autoread:on"]: wait['alwayRead'] = True cl.sendText(msg.to,"Auto read On") elif msg.text in ["Autoread:off"]: wait['alwayRead'] = False cl.sendText(msg.to,"Auto read Off") elif msg.text in ["Simisimi on","Simisimi:on"]: settings["simiSimi"][msg.to] = True wait["Simi"] = True cl.sendText(msg.to," Simisimi Di Aktifkan") elif msg.text in ["Simisimi off","Simisimi:off"]: settings["simiSimi"][msg.to] = False wait["Simi"] = False cl.sendText(msg.to,"Simisimi Di Nonaktifkan") ##-------------------------- elif 'music: ' in msg.text.lower(): try: songname = msg.text.lower().replace('music: ','') params = {'songname': songname} r = requests.get('http://ide.fdlrcn.com/workspace/yumi-apis/joox?' + urllib.urlencode(params)) # r = requests.get('http://ide.ntorp.us/joox/client' + urllib.urlencode(params)) data = r.text data = json.loads(data) for song in data: hasil = 'This is Your Music\n' hasil += 'Judul : ' + song[0] hasil += '\nDurasi : ' + song[1] hasil += '\nLink Download : ' + song[4] songz = song[5].encode('utf-8') lyric = songz.replace('ti:','Title -') lyric = lyric.replace('ar:','Artist -') lyric = lyric.replace('al:','Album -') removeString = "[1234567890.:]" for char in removeString: lyric = lyric.replace(char,'') cl.sendText(msg.to, hasil) cl.sendAudioWithURL(msg.to, song[4]) cl.sendText(msg.to, "Judul: " + song[0].encode('utf-8') + "\n\n" + lyric) except Exception as njer: cl.sendText(msg.to, str(njer)) #------------------------------------------------ elif 'lirik: ' in msg.text.lower(): try: songname = msg.text.lower().replace('lirik: ','') params = {'songname': songname} r = requests.get('http://ide.fdlrcn.com/workspace/yumi-apis/joox?' + urllib.urlencode(params)) data = r.text data = json.loads(data) for song in data: hasil = 'Lyric Lagu (' hasil += song[0] hasil += ')\n\n' hasil += song[5] cl.sendText(msg.to, hasil) except Exception as wak: cl.sendText(msg.to, str(wak)) #----------------------------------- elif "idline: " in msg.text: id = msg.text.replace("idline: ", "") find = cl.findContactsByUserId(id) for findid in find: try: msg.contentType = 13 msg.contentMetadata = {'mid': findid.mid} cl.sendMessage(msg) except Exception as error: print error #----------------------------------- elif "Getimage group" in msg.text: group = cl.getGroup(msg.to) path =("http://dl.profile.line-cdn.net/" + group.pictureStatus) cl.sendImageWithURL(msg.to, path) #---------------------------------- elif "Leavegroup " in msg.text.split(): if msg.from_ in admin or owner: ng = msg.text.split().replace("Leavegroup ","") gid = cl.getGroupIdsJoined() if msg.from_ in admin or owner: for i in gid: h = cl.getGroup(i).name if h == ng: cl.sendText(i,"Bot di paksa keluar oleh owner!") cl.leaveGroup(i) cl.sendText(msg.to,"Success left ["+ h +"] group") #else: #pass #else: #cl.sendText(msg.to,"Khusus Creator/Admin") elif msg.text in ["LG"]: #Melihat List Group if msg.from_ in admin or owner: gids = cl.getGroupIdsJoined() h = "" for i in gids: #####gn = cl.getGroup(i).name h += "[•]%s Member\n" % (cl.getGroup(i).name +"👉"+str(len(cl.getGroup(i).members))) cl.sendText(msg.to,"=======[List Group]======\n"+ h +"Total Group :"+str(len(gids))) elif msg.text in ["LG2"]: #Melihat List Group + ID Groupnya (Gunanya Untuk Perintah InviteMeTo:) if msg.from_ in owner: gid = cl.getGroupIdsJoined() h = "" for i in gid: h += "[%s]:%s\n" % (cl.getGroup(i).name,i) cl.sendText(msg.to,h) #--------------List Group------------ elif "Invitegrup " in msg.text: if msg.from_ in owner: gid = msg.text.replace("Invitegrup ","") if gid == "": cl.sendText(msg.to,"Invalid group id") else: try: cl.findAndAddContactsByMid(msg.from_) cl.inviteIntoGroup(gid,[msg.from_]) except: cl.sendText(msg.to,"Mungkin saya tidak di dalaam grup itu") #---------------------------------- elif "Getcontact: " in msg.text: if msg.from_ in admin or owner: key = eval(msg.contentMetadata["MENTION"]) key1 = key["MENTIONEES"][0]["M"] mmid = cl.getContact(key1) msg.contentType = 13 msg.contentMetadata = {"mid": key1} #---------------------------------- elif "youtube search: " in msg.text.lower(): query = msg.text.lower().replace("youtube search: ","") with requests.session() as s: s.headers['user-agent'] = 'Mozilla/5.0' url = 'https://www.youtube.com/results' params = {'search_query': query} r = s.get(url, params=params) soup = BeautifulSoup(r.content, 'html5lib') for a in soup.select('.yt-lockup-title > a[title]'): if '&List' not in a['href']: cl.sendText(msg.to,'Judul : ' + a['title'] + '\nLink : ' + 'https://www.youtube.com' + a['href']) print '[Command] Youtube Search' elif 'youtube: ' in msg.text.lower(): query = msg.text.split(" ") try: if len(query) == 3: isi = yt(query[2]) hasil = isi[int(query[1])-1] cl.sendText(msg.to, hasil) else: isi = yt(query[1]) cl.sendText(msg.to, isi[0]) except Exception as e: print(e) elif "Vidio " in msg.text: try: textToSearch = (msg.text).replace("Vidio ", "").strip() query = urllib.quote(textToSearch) url = "https://www.youtube.com/results?search_query=" + query response = urllib2.urlopen(url) html = response.read() soup = BeautifulSoup(html, "html.parser") results = soup.find(attrs={'class':'yt-uix-tile-link'}) ght=('https://www.youtube.com' + results['href']) cl.sendVideoWithURL(msg.to,ght) except: cl.sendText(msg.to,"Could not find it") #--------------------------------- #----------------------------------------- elif msg.text.lower() == 'runtime': if msg.from_ in admin or owner: eltime = time.time() - mulai van = "Bot sudah berjalan selama "+waktu(eltime) cl.sendText(msg.to,van) #----------------------------------------- elif msg.text in ["Bot restart"]: if msg.from_ in owner: cl.sendText(msg.to, "Bot has been restarted") restart_program() print "@Restart" #----------------------------------------- elif msg.text in ["Like temen","Bot like temen"]: #Semua Bot Ngelike Status Teman if msg.from_ in owner: print "[Command]Like executed" cl.sendText(msg.to,"Kami Siap Like Status Teman Boss") try: autolike() except: pass #----------------------------------------- elif msg.text in ["Gcreator"]: if msg.toType == 2: msg.contentType = 13 ginfo = cl.getGroup(msg.to) gCreator = ginfo.creator.mid try: msg.contentMetadata = {'mid': gCreator} gCreator1 = ginfo.creator.displayName except: gCreator = "Error" cl.sendText(msg.to, "Group Creator : " + gCreator1) cl.sendMessage(msg) #----------------------------------------------- elif msg.text in ["Tag on"]: if wait["tag"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"Already on") else: cl.sendText(msg.to,"Tag On") else: wait["tag"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"Tag On") else: cl.sendText(msg.to,"already on") elif msg.text in ["Tag off"]: if wait["tag"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"Already off") else: cl.sendText(msg.to,"Tag Off") else: wait["tag"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Tag Off") else: cl.sendText(msg.to,"Already off") elif msg.text in ["Auto on"]: if msg.from_ in admin or owner: if wait["auto"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"Bot join on") else: cl.sendText(msg.to,"Bot join On") else: wait["auto"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"Bot join On") else: cl.sendText(msg.to,"Bot join On") elif msg.text in ["Auto off"]: if msg.from_ in admin or owner: if wait["auto"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"Bot join off") else: cl.sendText(msg.to,"Bot join off") else: wait["auto"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Bot join off") else: cl.sendText(msg.to,"Bot join off") #----------------------------------------------- elif "Admadd @" in msg.text: if msg.from_ in admin or owner: print "[Command]Staff add executing" _name = msg.text.replace("Admadd @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = kc.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: admin.append(target) cl.sendText(msg.to,"Admin Telah Ditambahkan") except: pass print "[Command]Staff add executed" else: cl.sendText(msg.to,"Command Di Tolak Jangan Sedih") cl.sendText(msg.to,"Sudah Menjadi Admin Maka Tidak Bisa Menjadi Admin Lagi") elif "Admrem @" in msg.text: if msg.from_ in admin or owner: print "[Command]Staff remove executing" _name = msg.text.replace("Admrem @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = kc.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: admin.remove(target) cl.sendText(msg.to,"Admin Telah Dihapus") except: pass print "[Command]Staff remove executed" else: cl.sendText(msg.to,"Command DiTolak") cl.sendText(msg.to,"Admin Tidak Bisa Menggunakan") elif msg.text in ["Adminlist bot"]: if msg.from_ in admin or owner: if admin == []: cl.sendText(msg.to,"The adminlist is empty") else: cl.sendText(msg.to,"Sabar Dikit Mamang.....") mc = "🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖" for mi_d in admin: mc += "☄1�7 " +cl.getContact(mi_d).displayName + "\n" cl.sendText(msg.to,mc) print "[Command]Stafflist executed" #----------------------------------------------- elif "Kapan " in msg.text: tanya = msg.text.replace("Kapan ","") jawab = ("Besok","Tahun Depan","Minggu Depan","Satu Abad Lagi") jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) elif "Waktu" in msg.text: wait2['setTime'][msg.to] = datetime.today().strftime('TANGGAL : %Y-%m-%d \nHARI : %A \nJAM : %H:%M:%S') cl.sendText(msg.to, " Waktu/Tanggal\n\n" + (wait2['setTime'][msg.to])) cl.sendText(msg.to, "Mungkin Tidak Sesuai Atau Sesuai Dengan Tanggal/Waktu Sekrang Dikarenakan Ini Robot Bukan Manusia :v") #----------------------------------------------- #----------------------------------------------- elif "Quotes" in msg.text: tanya = msg.text.replace(".quotes","") jawab = ("Don't cry because it's over, smile because it happened.\nDr. Seuss","I'm selfish, impatient and a little insecure. I make mistakes, I am out of control and at times hard to handle. But if you can't handle me at my worst, then you sure as hell don't deserve me at my best.\nMarilyn Monroe","Be yourself; everyone else is already taken.\nOscar Wilde","Two things are infinite: the universe and human stupidity; and I'm not sure about the universe.\nAlbert Einstein","Jangan makan, berat\nNanti kamu gendutan:'v","Nggak perlu orang yang sexy maupun rupawan untukku\nCukup kamu yang bisa buat aku bahagia") jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) elif msg.text in ["pap","Pap"]: cl.sendImageWithURL(msg.to, "https://i.pinimg.com/736x/d1/93/25/d19325b71789e33bedb054468c1fd134--girls-generation-tiffany-girls-generation.jpg") elif "/apakah " in msg.text: apk = msg.text.replace("/apakah ","") rnd = ["Ya","Tidak","Bisa Jadi","Mungkin"] p = random.choice(rnd) lang = 'id' tts = gTTS(text=p, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") cl.sendText(msg.to,p) elif "Hari " in msg.text: apk = msg.text.replace("Hari ","") rnd = ["Senin","Selasa","Rabu","Kamis","Jumat","Sabtu","Minggu"] p = random.choice(rnd) lang = 'id' tts = gTTS(text=p, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") cl.sendText(msg.to,p) elif "Berapa " in msg.text: apk = msg.text.replace("Berapa ","") rnd = ['10%','20%','30%','40%','50%','60%','70%','80%','90%','100%','0%'] p = random.choice(rnd) lang = 'id' tts = gTTS(text=p, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") cl.sendText(msg.to,p) elif "Berapakah " in msg.text: apk = msg.text.replace("Berapakah ","") rnd = ['1','2','3','4','5','6','7','8','9','10','Tidak Ada'] p = random.choice(rnd) lang = 'id' tts = gTTS(text=p, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") cl.sendText(msg.to,p) elif "/kapan " in msg.text: apk = msg.text.replace("/kapan ","") rnd = ["kapan kapan","besok","satu abad lagi","Hari ini","Tahun depan","Minggu depan","Bulan depan","Sebentar lagi","Tidak Akan Pernah"] p = random.choice(rnd) lang = 'id' tts = gTTS(text=p, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") cl.sendText(msg.to,p) #-------------------------------------- elif msg.text in ["Kalender","Time","Waktu"]: timeNow = datetime.now() timeHours = datetime.strftime(timeNow,"(%H:%M)") day = ["Sunday", "Monday", "Tuesday", "Wednesday", "Thursday","Friday", "Saturday"] hari = ["Minggu", "Senin", "Selasa", "Rabu", "Kamis", "Jumat", "Sabtu"] bulan = ["Januari", "Februari", "Maret", "April", "Mei", "Juni", "Juli", "Agustus", "September", "Oktober", "November", "Desember"] inihari = datetime.today() hr = inihari.strftime('%A') bln = inihari.strftime('%m') for i in range(len(day)): if hr == day[i]: hasil = hari[i] for k in range(0, len(bulan)): if bln == str(k): bln = bulan[k-1] rst = hasil + ", " + inihari.strftime('%d') + " - " + bln + " - " + inihari.strftime('%Y') + "\nJam : [ " + inihari.strftime('%H:%M:%S') + " ]" cl.sendText(msg.to, rst) #client.sendText(msg.to, rst) #----------------------------------------------- elif "Search image: " in msg.text: search = msg.text.replace("Search image: ","") url = 'https://www.google.com/search?espv=2&biw=1366&bih=667&tbm=isch&oq=kuc&aqs=mobile-gws-lite.0.0l5&q=' + search raw_html = (download_page(url)) items = [] items = items + (_images_get_all_items(raw_html)) path = random.choice(items) print path try: cl.sendImageWithURL(msg.to,path) except: pass elif 'searchimage' in msg.text.lower(): try: shi = msg.text.lower().replace("searchimage ","") kha = random.choice(items) url = 'https://www.google.com/search?hl=en&biw=1366&bih=659&tbm=isch&sa=1&ei=vSD9WYimHMWHvQTg_53IDw&q=' + shi raw_html = (download_page(url)) items = items + (_images_get_all_items(raw_html)) items = [] except: try: start = timeit.timeit() cl.sendImageWithURL(msg.to,random.choice(items)) cl.sendText(msg.to,"Total Image Links ="+str(len(items))) except Exception as e: cl.sendText(msg.to,str(e)) elif "anime: " in msg.text.lower(): van = msg.text.lower().replace("anime: ","") cl.sendText(msg.to,"Sedang Mencari...") cl.sendText(msg.to,"https://myanimelist.net/anime.php?q=" + van) cl.sendText(msg.to,"Bener Gak?") elif "Google: " in msg.text: a = msg.text.replace("Google: ","") b = urllib.quote(a) cl.sendText(msg.to,"Sedang Mencari...") cl.sendText(msg.to, "https://www.google.com/" + b) cl.sendText(msg.to,"Itu Dia Linknya. . .") cl.sendImageWithUrl(msg.to,b) elif "playstore: " in msg.text.lower(): tob = msg.text.lower().replace("playstore: ","") cl.sendText(msg.to,"Sedang Mencari...") cl.sendText(msg.to,"Title : "+tob+"\nSource : Google Play\nLink : https://play.google.com/store/search?q=" + tob) cl.sendText(msg.to,"Tuh link nya boss") #----------------------------------------------- elif 'instagram: ' in msg.text.lower(): try: instagram = msg.text.lower().replace("instagram: ","") html = requests.get('https://www.instagram.com/' + instagram + '/?') soup = BeautifulSoup(html.text, 'html5lib') data = soup.find_all('meta', attrs={'property':'og:description'}) text = data[0].get('content').split() data1 = soup.find_all('meta', attrs={'property':'og:image'}) text1 = data1[0].get('content').split() user = "Name: " + text[-2] + "\n" user1 = "Username: " + text[-1] + "\n" followers = "Followers: " + text[0] + "\n" following = "Following: " + text[2] + "\n" post = "Post: " + text[4] + "\n" link = "Link: " + "https://www.instagram.com/" + instagram detail = "========INSTAGRAM INFO USER========\n" details = "\n========INSTAGRAM INFO USER========" cl.sendText(msg.to, detail + user + user1 + followers + following + post + link + details) cl.sendImageWithURL(msg.to, text1[0]) except Exception as njer: cl.sendText(msg.to, str(njer)) elif "twitter: " in msg.text.lower(): a = msg.text.replace("twitter: ","") b = urllib.quote(a) cl.sendText(msg.to,"「 Searching 」\n" "Type:Search Info\nStatus: Processing") cl.sendText(msg.to, "https://www.twitter.com/" + b) cl.sendText(msg.to,"「 Searching 」\n" "Type:Search Info\nStatus: Success") #----------------------------------------------- elif "Tr-id " in msg.text: nk0 = msg.text.replace("Tr-id ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'id') cl.sendText(msg.to,str(trans)) elif "Tr-th " in msg.text: nk0 = msg.text.replace("Tr-th ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'th') cl.sendText(msg.to,str(trans)) elif "Tr-ja " in msg.text: nk0 = msg.text.replace("Tr-ja ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'ja') cl.sendText(msg.to,str(trans)) elif "Tr-en " in msg.text: nk0 = msg.text.replace("Tr-en ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'en') cl.sendText(msg.to,str(trans)) elif "Tr-ms " in msg.text: nk0 = msg.text.replace("Tr-ms ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'ms') cl.sendText(msg.to,str(trans)) elif "Tr-it " in msg.text: nk0 = msg.text.replace("Tr-it ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'it') cl.sendText(msg.to,str(trans)) elif "Tr-tr " in msg.text: nk0 = msg.text.replace("Tr-tr ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'tr') cl.sendText(msg.to,str(trans)) elif "Tr-my " in msg.text: nk0 = msg.text.replace("Tr-my ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'my') cl.sendText(msg.to,str(trans)) elif "Tr-af " in msg.text: nk0 = msg.text.replace("Tr-af ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'af') cl.sendText(msg.to,str(trans)) elif "Tr-sq " in msg.text: nk0 = msg.text.replace("Tr-sq ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'sq') cl.sendText(msg.to,str(trans)) elif "Tr-am " in msg.text: nk0 = msg.text.replace("Tr-am ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'am') cl.sendText(msg.to,str(trans)) elif "Tr-ar " in msg.text: nk0 = msg.text.replace("Tr-ar ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'ar') cl.sendText(msg.to,str(trans)) elif "Tr-hy " in msg.text: nk0 = msg.text.replace("Tr-hy ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'hy') cl.sendText(msg.to,str(trans)) #----------------UpdateFotoProfil----------------# elif "Cpp" in msg.text: if msg.from_ in admin or owner: path = "Robot.jpg" cl.sendText(msg.to,"Update PP :") cl.sendImage(msg.to,path) cl.updateProfilePicture(path) #--------------------------CEK SIDER------------------------------ elif "setview" in msg.text: subprocess.Popen("echo '' > dataSeen/"+msg.to+".txt", shell=True, stdout=subprocess.PIPE) cl.sendText(msg.to, "Checkpoint checked!") print "@setview" elif "viewseen" in msg.text: lurkGroup = "" dataResult, timeSeen, contacts, userList, timelist, recheckData = [], [], [], [], [], [] with open('dataSeen/'+msg.to+'.txt','r') as rr: contactArr = rr.readlines() for v in xrange(len(contactArr) -1,0,-1): num = re.sub(r'\n', "", contactArr[v]) contacts.append(num) pass contacts = list(set(contacts)) for z in range(len(contacts)): arg = contacts[z].split('\|') userList.append(arg[0]) timelist.append(arg[1]) uL = list(set(userList)) for ll in range(len(uL)): try: getIndexUser = userList.index(uL[ll]) timeSeen.append(time.strftime("%H:%M:%S", time.localtime(int(timelist[getIndexUser]) / 1000))) recheckData.append(userList[getIndexUser]) except IndexError: conName.append('nones') pass contactId = cl.getContacts(recheckData) for v in range(len(recheckData)): dataResult.append(contactId[v].displayName + ' ('+timeSeen[v]+')') pass if len(dataResult) > 0: tukang = "List Viewer\n" grp = '\n* '.join(str(f) for f in dataResult) total = '\n\nTotal %i viewers (%s)' % (len(dataResult), datetime.now().strftime('%H:%M:%S') ) cl.sendText(msg.to, "%s %s %s" % (tukang, grp, total)) else: cl.sendText(msg.to, "Belum ada viewers") print "@viewseen" #--------------------------CEK SIDER------------------------------ elif msg.from_ in mimic["target"] and mimic["status"] == True and mimic["target"][msg.from_] == True: text = msg.text if text is not None: cl.sendText(msg.to,text) else: if msg.contentType == 7: msg.contentType = 7 msg.text = None msg.contentMetadata = { "STKID": "6", "STKPKGID": "1", "STKVER": "100" } cl.sendMessage(msg) elif msg.contentType == 13: msg.contentType = 13 msg.contentMetadata = {'mid': msg.contentMetadata["mid"]} cl.sendMessage(msg) elif "Mimic:" in msg.text: cmd = msg.text.replace("Mimic:","") if cmd == "on": if mimic["status"] == False: mimic["status"] = True cl.sendText(msg.to,"Mimic on") else: cl.sendText(msg.to,"Mimic already on") elif cmd == "off": if mimic["status"] == True: mimic["status"] = False cl.sendText(msg.to,"Mimic off") else: cl.sendText(msg.to,"Mimic already off") elif "Add: " in cmd: target0 = msg.text.replace("Add: ","") target1 = target0.lstrip() target2 = target1.replace("@","") target3 = target2.rstrip() _name = target3 gInfo = cl.getGroup(msg.to) targets = [] for a in gInfo.members: if _name == a.displayName: targets.append(a.mid) if targets == []: cl.sendText(msg.to,"No targets") else: for target in targets: try: mimic["target"][target] = True cl.sendText(msg.to,"Success added target") #cl.sendMessageWithMention(msg.to,target) break except: cl.sendText(msg.to,"Failed") break elif "Del: " in cmd: target0 = msg.text.replace("Del: ","") target1 = target0.lstrip() target2 = target1.replace("@","") target3 = target2.rstrip() _name = target3 gInfo = cl.getGroup(msg.to) targets = [] for a in gInfo.members: if _name == a.displayName: targets.append(a.mid) if targets == []: cl.sendText(msg.to,"No targets") else: for target in targets: try: del mimic["target"][target] cl.sendText(msg.to,"Success deleted target") #cl.sendMessageWithMention(msg.to,target) break except: cl.sendText(msg.to,"Failed!") break elif cmd == "ListTarget": if mimic["target"] == {}: cl.sendText(msg.to,"No target") else: lst = "<<List Target>>" total = len(mimic["target"]) for a in mimic["target"]: if mimic["target"][a] == True: stat = "On" else: stat = "Off" lst += "\n☄1�7" + cl.getContact(mi_d).displayName + " \| " + stat cl.sendText(msg.to,lst + "\nTotal:" + total) #---------------------------------------------------------------- #-------------------------------- elif msg.text in ["Gift","gift"]: msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '5'} msg.text = None cl.sendMessage(msg) elif msg.text in ["Gift1"]: msg.contentType = 9 msg.contentMetadata={'PRDID': '696d7046-843b-4ed0-8aac-3113ed6c0733', 'PRDTYPE': 'THEME', 'MSGTPL': '6'} msg.text = None cl.sendMessage(msg) elif msg.text in ["Gift2"]: msg.contentType = 9 msg.contentMetadata={'PRDID': '8fe8cdab-96f3-4f84-95f1-6d731f0e273e', 'PRDTYPE': 'THEME', 'MSGTPL': '7'} msg.text = None cl.sendMessage(msg) elif msg.text in ["Gift3"]: msg.contentType = 9 msg.contentMetadata={'PRDID': 'ae3d9165-fab2-4e70-859b-c14a9d4137c4', 'PRDTYPE': 'THEME', 'MSGTPL': '8'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift01': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '1'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift02': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '2'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift03': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '3'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift04': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '4'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift05': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '5'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift06': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '6'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift012': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '12'} msg.text = None cl.sendMessage(msg) # elif "Gift dia 5000c " in msg.text: # if msg.from_ in admin or owner: # msg.contentType = 13 # nk0 = msg.text.replace("Gift dia 5000c ","") # nk1 = nk0.lstrip() # nk2 = nk1.replace("@","") # nk3 = nk2.rstrip() # _name = nk3 # gs = cl.getGroup(msg.to) # targets = [] # for s in gs.members: # if _name in s.displayName: # targets.append(s.mid) # if targets == []: # sendMessage(msg.to,"user does not exist") # pass # else: # for target in targets: # try: # cl.sendText(msg.to,_name + " Cʜᴇᴄᴋ Yᴏᴜʀ Gɪғᴛ Bᴏx") # msg.contentType = 9 # msg.contentMetadata= {'PRDTYPE': 'STICKER', # 'STKVER': '1', # 'MSGTPL': '1', # 'STKPKGID': '1380280'} # msg.to = target # msg.text = None # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendText(msg.to,_name + "Dᴏɴᴇ 5000 ᴄᴏɪɴ") # except: # msg.contentMetadata = {'mid': target} elif "Gift1 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift1 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '1', 'STKPKGID': '1380280'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift2 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift2 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '2', 'STKPKGID': '1360738'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift3 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift3 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '3', 'STKPKGID': '1395389'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift4 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift4 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '4', 'STKPKGID': '1329191'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift5 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift5 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '1', 'STKPKGID': '9057'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift6 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift6 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '2', 'STKPKGID': '9167'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift7 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift7 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '3', 'STKPKGID': '7334'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift8 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift8 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '1', 'STKPKGID': '1380280'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift9 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift9 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '4', 'STKPKGID': '1405277'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift10 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift10 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '1', 'STKPKGID': '1296261'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} #------------------------------ elif msg.text in ["Line clone","line clone"]: cl.sendText(msg.to,"Key:\nLine1\nLine2\nLine3\nLine4\nLine5") elif msg.text in ["Line1","line1"]: cl.sendText(msg.to,"Clone 1:\nhttps://drive.google.com/open?id=1M4MvuodyebWZ_3ePUySEh3fdhnoWgLes") elif msg.text in ["Line2","line2"]: cl.sendText(msg.to,"Clone 2:\nhttps://drive.google.com/open?id=1AKDbRW7O-ql4t1wUYe2KkfGahjXvShsJ") elif msg.text in ["Line3","line3"]: cl.sendText(msg.to,"Clone 3:\nhttps://drive.google.com/open?id=1zUPVQrI8fq9Z0W6IenqtgB5qtLfZq2if") elif msg.text in ["Line4","line4"]: cl.sendText(msg.to,"Clone 4:\nhttps://drive.google.com/open?id=1SzUe4lqQehfqYC-FsKmsYT7RkLsYAgJV") elif msg.text in ["Line5","line5"]: cl.sendText(msg.to,"Clone 5:\nhttps://drive.google.com/open?id=1JfStADgnukTsg1CyACR-PN3_cOxGuGpb") #-------------------------------------- elif msg.text in ["hmm","hmmm"]: cl.sendText(msg.to,"Waduh kenapa? gatel tenggorokan ya") elif msg.text in ["Welcome","welcome","Welkam","welkam","Wc","wc","Kam","kam"]: gs = cl.getGroup(msg.to) cl.sendText(msg.to,"Sᴇʟᴀᴍᴀᴛ Dᴀᴛᴀɴɢ Dɪ "+ gs.name) msg.contentType = 7 msg.contentMetadata={'STKID': '247', 'STKPKGID': '3', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) cl.sendText(msg.to,"Jangan nakal ok!") #----------------------------------------------- #-------------- Add Friends ------------ elif "botadd @" in msg.text: if msg.from_ in admin or owner: if msg.toType == 2: if msg.from_ in admin or owner: print "[Command]Add executing" _name = msg.text.replace("botadd @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = kc.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: cl.findAndAddContactsByMid(target) cl.senText(msg.to, "Berhasil Menambah Kan Teman") except: cl.sendText(msg.to,"Error") else: cl.sendText(msg.to,"Perintah Ditolak") cl.sendText(msg.to,"Perintah ini Hanya Untuk Admin") #------------------------------------------------- elif "Mid: @" in msg.text: if msg.from_ in admin or owner: _name = msg.text.replace("Mid: @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: cl.sendText(msg.to, g.mid) else: pass #-------------------------- elif msg.text in ["Bye all gc"]: # Keluar Dari Semua Group Yang Di dalem nya ada bot(Kalo Bot Kalian Nyangkut di Group lain :D) if msg.from_ in admin or owner: gid = cl.getGroupIdsJoined() for i in gid: cl.leaveGroup(i) if wait["lang"] == "JP": cl.sendText(msg.to,"Bʏᴇ,, Bʏᴇᴇ... " + str(ginfo.name) + "\n\nBᴏᴛꜱ Dɪᴘᴀᴋꜱᴀ Kᴇʟᴜᴀʀ ᴏʟᴇʜ Oᴡɴᴇʀ Bᴏᴛꜱ...!!!\nMᴀᴋᴀꜱɪʜ...!!!") else: cl.sendText(msg.to,"He declined all invitations") #-------------------------- elif "Bcgrup: " in msg.text: bc = msg.text.replace("Bcgrup: ","") gid = cl.getGroupIdsJoined() if msg.from_ in admin or owner: for i in gid: cl.sendText(i,""+bc+"\n\n@Bʀᴏᴀᴅᴄᴀꜱᴛ") cl.sendText(msg.to,"Success BC BosQ") else: cl.sendText(msg.to,"Khusus Admin") #-------------------------------------------------------- elif msg.text in ["Bot like","bot like"]: try: print "activity" url = cl.activity(limit=1) print url cl.like(url['result']['posts'][0]['userInfo']['mid'], url['result']['posts'][0]['postInfo']['postId'], likeType=1001) cl.comment(url['result']['posts'][0]['userInfo']['mid'], url['result']['posts'][0]['postInfo']['postId'], "Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") cl.sendText(msg.to, "Success~") except Exception as E: try: cl.sendText(msg.to,str(E)) except: pass elif msg.text in ["timeline"]: try: url = cl.activity(limit=5) cl.sendText(msg.to,url['result']['posts'][0]['postInfo']['postId']) except Exception as E: print E #--------------------------------------------------------------------- elif msg.text in ["Sp","Speed",".sp"]: start = time.time() cl.sendText(msg.to, "🏹Proses...➴") elapsed_time = time.time() - start cl.sendText(msg.to, "%s/Detik" % (elapsed_time)) #------------------------------------------------------------------ elif "album" in msg.text: if msg.from_ in admin or owner: try: albumtags = msg.text.replace("album","") gid = albumtags[:6] name = albumtags.replace(albumtags[:34],"") cl.createAlbum(gid,name) cl.sendText(msg.to,name + "created an album") except: cl.sendText(msg.to,"Error") elif "fakecÃ¢â€ â�1�7�1�71¤7 1�71¤7" in msg.text: if msg.from_ in admin or owner: try: source_str = 'abcdefghijklmnopqrstuvwxyz1234567890@:;./_][!&%$#)(=~^\|' name = "".join([random.choice(source_str) for x in xrange(10)]) anu = msg.text.replace("fakecÃ¢â€ â�1�7�1�71¤7 1�71¤7","") cl.sendText(msg.to,str(cl.channel.createAlbum(msg.to,name,anu))) except Exception as e: try: cl.sendText(msg.to,str(e)) except: pass #------------------------------------------------------------------ elif "#rmegs " in msg.text: if msg.from_ in owner: gName = msg.text.replace("#rmegs ","") ap = cl.getGroups([msg.to]) semua = findAndAddContactsByMid(Mi_d) nya = ap[0].members for a in nya: Mi_d = str(a.mid) klis=[cl] team=random.choice(klis) cl.findAndAddContactsByMid(Mi_d) cl.createGroup(gName, semua) elif "Bot spin" in msg.text: if msg.from_ in owner: thisgroup = cl.getGroups([msg.to]) Mids = [contact.mid for contact in thisgroup[0].members] mi_d = Mids[:33] cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.sendText(msg.to,"Success...!!!!") elif msg.text in ["Remove all chat"]: if msg.from_ in owner: cl.removeAllMessages(op.param2) cl.sendText(msg.to,"Removed all chat Finish") elif "Gif gore" in msg.text: gif = ("https://media.giphy.com/media/l2JHVsQiOZrNMGzYs/giphy.gif","https://media.giphy.com/media/OgltQ2hbilzJS/200w.gif") gore = random.choice(gif) cl.sendGifWithURL(msg.to,gore) if op.type == 59: print op except Exception as error: print error if op.type == 55: print "[NOTIFIED_READ_MESSAGE]" try: if op.param1 in wait2['readPoint']: Nama = cl.getContact(op.param2).displayName if Nama in wait2['readMember'][op.param1]: pass else: wait2['readMember'][op.param1] += "\n-> " + Nama wait2['ROM'][op.param1][op.param2] = "-> " + Nama wait2['setTime'][msg.to] = datetime.today().strftime('%Y-%m-%d %H:%M:%S') else: cl.sendText except: pass if op.type == 59: print op except Exception as error: print error def a2(): now2 = datetime.now() nowT = datetime.strftime(now2,"%M") if nowT[14:] in ["10","20","30","40","50","00"]: return False else: return True def nameUpdate(): while True: try: #while a2(): #pass if wait["clock"] == True: now2 = datetime.now() nowT = datetime.strftime(now2,"(%H:%M)") profile = cl.getProfile() profile.displayName = wait["cName"] + nowT cl.updateProfile(profile) time.sleep(600) except: pass thread2 = threading.Thread(target=nameUpdate) thread2.daemon = True thread2.start() def autolike(): count = 1 while True: try: for posts in cl.activity(1)["result"]["posts"]: if posts["postInfo"]["liked"] is False: if wait["likeOn"] == True: cl.like(posts["userInfo"]["writerMid"], posts["postInfo"]["postId"], 1001) print "Like" if wait["commentOn"] == True: if posts["userInfo"]["writerMid"] in wait["commentBlack"]: pass else: cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") print "Like" except: count += 1 if(count == 50): sys.exit(0) else: pass thread2 = threading.Thread(target=autolike) thread2.daemon = True thread2.start() def likefriend(): for zx in range(0,20): hasil = cl.activity(limit=20) if hasil['result']['posts'][zx]['postInfo']['liked'] == False: try: cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1001) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") print "Like" except: pass else: print "Already Liked Om" time.sleep(0.60) def likeme(): for zx in range(0,20): hasil = cl.activity(limit=20) if hasil['result']['posts'][zx]['postInfo']['liked'] == False: if hasil['result']['posts'][zx]['userInfo']['mid'] in mid: try: cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") print "Like" except: pass else: print "Status Sudah di Like Om" while True: try: Ops = cl.fetchOps(cl.Poll.rev, 5) except EOFError: raise Exception("It might be wrong revision\n" + str(cl.Poll.rev)) for Op in Ops: if (Op.type != OpType.END_OF_OPERATION): cl.Poll.rev = max(cl.Poll.rev, Op.revision) bot(Op)
import os from unittest import TestCase from aibolit.patterns.joined_validation.joined_validation import JoinedValidation from pathlib import Path class TestJoinedValidation(TestCase): dir_path = Path(os.path.realpath(__file__)).parent pattern = JoinedValidation() def test_canFindSimpleJoinedValidation(self): file = Path(self.dir_path, 'SimpleJoinedValidation.java') self.assertEqual( [3], self.pattern.value(file), 'Could not find simple joined validation' ) def test_canFindJoinedValidationAndOr(self): file = Path(self.dir_path, 'JoinedValidationAndOr.java') self.assertEqual( [3], self.pattern.value(file), 'Could not find joined validation in AndOr condition' ) def test_canFindJoinedValidationOrAnd(self): file = Path(self.dir_path, 'JoinedValidationOrAnd.java') self.assertEqual( [3], self.pattern.value(file), 'Could not find joined validation in OrAnd condition' ) def test_canFindJoinedValidationOrOr(self): file = Path(self.dir_path, 'JoinedValidationOrOr.java') self.assertEqual( [3], self.pattern.value(file), 'Could not find joined validation in OrOr condition' ) def test_canFindJoinedValidationOrFunctionCall(self): file = Path(self.dir_path, 'JoinedValidationOrFunctionCall.java') self.assertEqual( [8], self.pattern.value(file), 'Could not find joined validation in function call' ) def test_canFindJoinedValidationOrFieldAccess(self): file = Path(self.dir_path, 'JoinedValidationOrFieldAccess.java') self.assertEqual( [6], self.pattern.value(file), 'Could not find joined validation in field access' ) def test_canFindNoBracketsJoinedValidation(self): file = Path(self.dir_path, 'NoBracketsJoinedValidation.java') self.assertEqual( [3], self.pattern.value(file), 'Could not find joined validation when using no brackets' ) def test_canSkipEmptyJoinedValidation(self): file = Path(self.dir_path, 'EmptyJoinedValidation.java') self.assertEqual( [], self.pattern.value(file), 'Could not skip empty joined validation' ) def test_canSkipNoJoinedValidation(self): file = Path(self.dir_path, 'NoJoinedValidation.java') self.assertEqual( [], self.pattern.value(file), 'Could not skip when there is no joined validation' )
from .openFilePathAndSelect import *
from soykeyword.proportion import CorpusbasedKeywordExtractor corpusbased_extractor = CorpusbasedKeywordExtractor( min_tf=20, min_df=2, tokenize=lambda x:x.strip().split(), verbose=True ) # docs: list of str like f=open('text/news/input5-1.txt','r') lines="" while True: line = f.readline() if not line: break lines+=line docs=corpusbased_extractor.train(lines) keywords = corpusbased_extractor.extract_from_docs( docs, min_score=0.8, ) print(keywords)
import tweepy, facebook def twitter_auth(): """OAuth procedure for the Twitter API""" consumer_key = '8U4SH1S8MqMlxFASj6GlgeobL' consumer_secret = 'iHGgrHBnGJJhnLfH7g2ZaggAwuun2QuNEspvg2ftUD4Ij6UnTp' access_token = '928672057042391043-Niz2uWC8iXeXepr0NVn8GEzZ8yh5gDG' access_token_secret = 'DSIXLThko0e0Dcem7OGsa1ht2zpR2oZbZM4dxcSn9lHLr' auth = tweepy.OAuthHandler(consumer_key, consumer_secret) auth.set_access_token(access_token, access_token_secret) api = tweepy.API(auth) return api def facebook_auth(): """OAuth procedure for Twitter API Long-lived access_token obtained via: https://graph.facebook.com/v2.11/oauth/access_token?grant_type=fb_exchange_token&client_id={page_id}&client_secret={app_secret}&fb_exchange_token={short-lived token}""" cfg = { "page_id": "128390027869974", "access_token": "EAAFQgmJkMMMBAFypMLjn9R8mJZCUFoZCchyXu1RnqEHApiOoK30G8vPZCUzKjC8mSGkZCekOuq5PVmIpsRPUegUmZAzLmSshDps6S6b08StDNRaz4PLdZBfLbp6Huss0k7iSgCodQyo9Tv0f9kd7I2w0nWIvyAeZCCq4ensTzWWlDl0xxNjyj9vnF9jSx4mPjoZD" # long-lived token for 2 months from Nov 19 2017 } return facebook.GraphAPI(access_token = cfg['access_token'])
import os import sys import io import pytz import yaml from datetime import datetime import rx from rx import operators as ops from concurrent.futures import ProcessPoolExecutor from urllib.request import urlopen from csv import DictReader from functools import partial from collections import namedtuple from rich import print from rich.progress import Progress from rich.progress import TextColumn, TimeElapsedColumn, SpinnerColumn from histdatacom.fx_enums import TimeFormat from histdatacom.utils import get_csv_dialect from histdatacom.concurrency import get_pool_cpu_count from histdatacom.concurrency import ProcessPool from histdatacom.concurrency import InfluxDBWriter from histdatacom.api import _API class _Influx(): def __init__(self, args, records_current_, records_next_, csv_chunks_queue_): self.args = args global records_current records_current = records_current_ global records_next records_next = records_next_ global csv_chunks_queue csv_chunks_queue = csv_chunks_queue_ def init_counters(self, csv_chunks_queue_, records_current_, records_next_, args_): global csv_chunks_queue csv_chunks_queue = csv_chunks_queue_ global records_current records_current = records_current_ global records_next records_next = records_next_ global args args = args_ def parse_csv_row(self, row, record): # line protocol example: myMeasurement,tag1=value1,tag2=value2 fieldKey="fieldValue" 1556813561098000000 measurement = f"{record.data_fxpair}" tags = f"source=histdata.com,format={record.data_format},timeframe={record.data_timeframe}".replace(" ", "") time = self.convert_datetime_to_utc_timestamp(record.data_format, record.data_timeframe, row) match record.data_timeframe: case "M1": fields = f"openbid={row['openBid']},highbid={row['highBid']},lowbid={row['lowBid']},closebid={row['closeBid']}".replace(" ", "") case "T": fields = f"bidquote={row['bidQuote']},askquote={row['askQuote']}".replace(" ", "") line_protocol = f"{measurement},{tags} {fields} {time}" return line_protocol def parse_csv_rows(self, rows, record): mapfunc = partial(self.parse_csv_row, record=record) _parsed_rows = list(map(mapfunc, rows)) csv_chunks_queue.put(_parsed_rows) def parse_jay_row(self, row, record): measurement = f"{record.data_fxpair}" tags = f"source=histdata.com,format={record.data_format},timeframe={record.data_timeframe}".replace(" ", "") match record.data_timeframe: case "M1": _row = namedtuple('_row', ['datetime', 'open', 'high', 'low', 'close', 'vol']) named_row = _row(row[0], row[1], row[2], row[3], row[4], row[5]) fields = f"openbid={named_row.open},highbid={named_row.high},lowbid={named_row.low},closebid={named_row.close}".replace(" ", "") time = str(named_row.datetime) case "T": _row = namedtuple('_row', ['datetime','bid','ask','vol']) named_row = _row(row[0], row[1], row[2], row[3]) fields = f"bidquote={named_row.bid},askquote={named_row.ask}".replace(" ", "") time = str(named_row.datetime) line_protocol = f"{measurement},{tags} {fields} {time}" return line_protocol def parse_jay_rows(self, iterable, record): mapfunc = partial(self.parse_jay_row, record=record) _parsed_rows = list(map(mapfunc, iterable)) csv_chunks_queue.put(_parsed_rows) def import_file(self, record, args, records_current, records_next, csv_chunks_queue): try: if str.lower(record.data_format) == "ascii": jay_path = f"{record.data_dir}.data" if os.path.exists(jay_path): self.import_jay(record, args, records_current, records_next, csv_chunks_queue) elif "CSV" in record.status: if "ZIP" in record.status: _API.test_for_jay_or_create(record, args) self.import_jay(record, args, records_current, records_next, csv_chunks_queue) else: self.import_csv(record, args, records_current, records_next, csv_chunks_queue) records_next.put(record) except Exception: print("Unexpected error from here:", sys.exc_info()) record.delete_into_file() raise finally: records_current.task_done() def import_jay(self, record, args, records_current, records_next, csv_chunks_queue): jay = _API.import_jay_data(record.data_dir + record.jay_filename) with ProcessPoolExecutor(max_workers=2, initializer=self.init_counters, initargs=(csv_chunks_queue, records_current, records_next, self.args.copy())) as executor: data = rx.from_iterable(jay.to_tuples()) \ .pipe(ops.buffer_with_count(25_000), ops.flat_map( lambda rows: executor.submit(self.parse_jay_rows, rows, record))) data.subscribe( on_next=lambda x: None, on_error=lambda er: print(f"Unexpected error: {er}")) record.status = "INFLUX_UPLOAD" record.write_info_file(base_dir=args['default_download_dir']) def import_csv(self, record, args, records_current, records_next, csv_chunks_queue): csv_path = record.data_dir + record.csv_filename file_endpoint = f"file://{record.data_dir}{record.csv_filename}" res = urlopen(file_endpoint) io_wrapper = io.TextIOWrapper(res) with ProcessPoolExecutor(max_workers=2, initializer=self.init_counters, initargs=(csv_chunks_queue, records_current, records_next, self.args.copy())) as executor: fieldnames = self.fieldnames_match(record.data_format, record.data_timeframe) dialect = get_csv_dialect(csv_path) data = rx.from_iterable( DictReader(io_wrapper, fieldnames=fieldnames, dialect=dialect)) \ .pipe( ops.buffer_with_count(25_000), ops.flat_map( lambda rows: executor.submit(self.parse_csv_rows, rows, record))) data.subscribe( on_next=lambda x: None, on_error=lambda er: print(f"Unexpected error: {er}")) os.remove(csv_path) record.status = "INFLUX_UPLOAD" record.write_info_file(base_dir=args['default_download_dir']) def import_data(self, records_current, records_next, csv_chunks_queue): writer = InfluxDBWriter(self.args, csv_chunks_queue) writer.start() pool = ProcessPool(self.import_file, self.args, "Adding", "CSVs to influx queue...", get_pool_cpu_count(self.args['cpu_utilization']) - 1\ if get_pool_cpu_count(self.args['cpu_utilization']) >= 2 \ else 1, join=False, dump=False) pool(records_current, records_next, csv_chunks_queue) with Progress(TextColumn(text_format="[cyan]...finishing upload to influxdb"), SpinnerColumn(), SpinnerColumn(), SpinnerColumn(), TimeElapsedColumn()) as progress: task_id = progress.add_task("waiting", total=0) records_current.join() csv_chunks_queue.put(None) csv_chunks_queue.join() progress.advance(task_id, 0.75) print("[cyan] done.") records_next.dump_to_queue(records_current) @classmethod def load_influx_yaml(cls): if os.path.exists('influxdb.yaml'): with open('influxdb.yaml', 'r') as file: try: yamlfile = yaml.safe_load(file) except yaml.YAMLError as exc: print(exc) sys.exit() return yamlfile print(""" ERROR: -I flag is used to import data to a influxdb instance... there is no influxdb.yaml file in working directory. did you forget to set it up? """) sys.exit() @classmethod def fieldnames_match(cls, csv_format, timeframe): try: match csv_format: case "ASCII" if timeframe == "M1": fieldnames = ["msSinceEpochUTC", "openBid", "highBid", "lowBid", "closeBid", "Volume"] case "ASCII" if timeframe == "T": fieldnames = ["msSinceEpochUTC", "bidQuote", "askQuote", "Volume"] case _: raise ValueError("Invalid format for influx import") return fieldnames except ValueError as err: print(err) sys.exit() @classmethod def get_timeformat(cls, csv_format, timeframe): format_enum_key = f'{str(csv_format)}_{str(timeframe)}' return TimeFormat[format_enum_key].value @classmethod def convert_datetime_to_utc_timestamp(cls, csv_format, timeframe, row): est_timestamp = row["msSinceEpochUTC"] date_object = datetime.strptime(est_timestamp, cls.get_timeformat(csv_format, timeframe)) tz_date_object = date_object.replace(tzinfo=pytz.timezone("Etc/GMT-5")) timestamp = int(tz_date_object.timestamp() * 1000) return str(timestamp)
from typing import Optional from fastapi import FastAPI import requests import json import mail def get_token(): with open('config.json') as config_file: config = json.load(config_file) token = config.get('token') return token def get_status(url): r = requests.get(url, allow_redirects=False, verify=False) return r.status_code def get_url(): stat_list = [] with open('web.json') as data_file: data = json.load(data_file) url = data.get('url') for u in url: print(u) try: status = get_status(u) except requests.exceptions.RequestException as e: stat = {'url': u, 'status': 408, 'msg': 'false'} stat_list.append(stat) continue if status == 200 or status == 302 or status == 301: a = "true" stat = {'url': u, 'status': status, 'msg': a} stat_list.append(stat) else: a = "false" stat = {'url': u, 'status': status, 'msg': a} stat_list.append(stat) return stat_list app = FastAPI() @app.get("/{token}") def read_root(token: Optional[str] = None): true_token = get_token() if token == true_token: message = get_url() return {"message": message} else: return {"message": "Token is not true"} @app.get("/mail/{token}") def read_root(token: Optional[str] = None): true_token = get_token() if token == true_token: massage = mail.result() return {"message": massage} else: return {"message": "Token is not true"}
from django.conf.urls import include from django.conf.urls import url from rest_framework import routers from .api import DataStoreViewset router = routers.SimpleRouter() router.register(r'datastore', DataStoreViewset, base_name='datastore') urlpatterns = [ url(r'^', include(router.urls)), ]
# encoding: utf-8 """ Enable pyglet to be used interacive by setting PyOS_InputHook. Authors ------- * Nicolas P. Rougier * Fernando Perez """ #----------------------------------------------------------------------------- # Copyright (C) 2008-2011 The IPython Development Team # # Distributed under the terms of the BSD License. The full license is in # the file COPYING, distributed as part of this software. #----------------------------------------------------------------------------- # This has been modified from the Pyglet and GLUT event hooks to work with # glfw. #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- import os import sys import time #----------------------------------------------------------------------------- # Platform-dependent imports and functions #----------------------------------------------------------------------------- if os.name == 'posix': import select def stdin_ready(): infds, outfds, erfds = select.select([sys.stdin],[],[],0) if infds: return True else: return False elif sys.platform == 'win32': import msvcrt def stdin_ready(): return msvcrt.kbhit() #----------------------------------------------------------------------------- # Code #----------------------------------------------------------------------------- def create_inputhook_glfw(mgr, render_loop): """Run the GLFW event loop by processing pending events only. This keeps processing pending events until stdin is ready. After processing all pending events, a call to time.sleep is inserted. This is needed, otherwise, CPU usage is at 100%. This sleep time should be tuned though for best performance. """ def inputhook_glfw(): # We need to protect against a user pressing Control-C when IPython is # idle and this is running. We trap KeyboardInterrupt and pass. import cyglfw3 as glfw try: t = glfw.GetTime() while not stdin_ready(): render_loop.next() used_time = glfw.GetTime() - t if used_time > 10.0: # print 'Sleep for 1 s' # dbg time.sleep(1.0) elif used_time > 0.1: # Few GUI events coming in, so we can sleep longer # print 'Sleep for 0.05 s' # dbg time.sleep(0.05) else: # Many GUI events coming in, so sleep only very little time.sleep(0.001) except KeyboardInterrupt: pass return 0 return inputhook_glfw from IPython.lib.inputhook import inputhook_manager, InputHookBase @inputhook_manager.register('glfw') class GLFWInputHook(InputHookBase): def enable(self, app=None): """Enable event loop integration with GLFW. Parameters ---------- app : ignored Ignored, it's only a placeholder to keep the call signature of all gui activation methods consistent, which simplifies the logic of supporting magics. Notes ----- This methods sets the ``PyOS_InputHook`` for GLFW, which allows GLFW to integrate with terminal based applications like IPython. """ inputhook_glfw = create_inputhook_glfw(self.manager, app) self.manager.set_inputhook(inputhook_glfw) return
from systemofrecord.repository import blockchain_object_repository from systemofrecord.repository.message_id_validator import InvalidTitleIdException from tests.system_of_record_message_fixtures import * from datatypes import system_of_record_request_validator from datatypes.core import unicoded from tests.teardown_unittest import TeardownUnittest from datatypes.exceptions import DataDoesNotMatchSchemaException test_object_id = valid_system_of_record_input_message_with_two_tags['object']['object_id'] class BlockchainObjectRepositoryTestCase(TeardownUnittest): def test_can_store_object_data(self): blockchain_object_repository.store_object( object_id=test_object_id, data=valid_system_of_record_input_message_with_two_tags) loaded_object = blockchain_object_repository.load_most_recent_object_with_id(test_object_id) self.check_loaded_object(unicoded(loaded_object.as_dict())) def test_can_store_object_with_chains(self): blockchain_object_repository.store_object( object_id=test_object_id, data=valid_system_of_record_input_message_with_two_tags) loaded_object = blockchain_object_repository.load_most_recent_object_with_id(test_object_id) self.check_loaded_object(unicoded(loaded_object.as_dict())) self.check_chains_are_equal( loaded_object, valid_system_of_record_input_message_with_two_tags['object']['chains']) def test_adding_new_object_with_same_id_can_load_most_recent_object(self): blockchain_object_repository.store_object( object_id=test_object_id, data=valid_system_of_record_input_message_with_two_tags) loaded_first_object = blockchain_object_repository.load_most_recent_object_with_id(test_object_id) blockchain_object_repository.store_object( object_id=test_object_id, data=valid_system_of_record_input_message_with_two_tags) loaded_second_object = blockchain_object_repository.load_most_recent_object_with_id(test_object_id) self.assertNotEquals(loaded_first_object.blockchain_index, loaded_second_object.blockchain_index) self.assertGreater(loaded_second_object.blockchain_index, loaded_first_object.blockchain_index) def test_cannot_store_object_with_the_same_tag_and_value_pair_twice(self): self.assertRaises(DataDoesNotMatchSchemaException, blockchain_object_repository.store_object, test_object_id, invalid_message_with_duplicate_tag_value) self.assertRaises(DataDoesNotMatchSchemaException, blockchain_object_repository.store_object, test_object_id, another_invalid_message_with_duplicate_tag_value) def test_cannot_store_title_with_title_id_not_matching_json_payload(self): self.assertRaises(InvalidTitleIdException, blockchain_object_repository.store_object, "foo", valid_system_of_record_input_message_with_two_tags) def check_chains_are_equal(self, loaded_data, expected_chains): self.assertEqual(len(loaded_data.chains), len(expected_chains)) for expected_chain in expected_chains: found_chain = 0 for maybe_chain in loaded_data.as_dict()['object']['chains']: if (maybe_chain['chain_name'] == expected_chain['chain_name']) and \ (maybe_chain['chain_value'] == expected_chain['chain_value']): found_chain = 1 if not found_chain: self.fail("Could not find chain " + repr(expected_chain)) def check_loaded_object(self, loaded_data): self.assertIsNotNone(loaded_data) system_of_record_request_validator.validate(loaded_data) self.assertEquals(loaded_data['object']['object_id'], test_object_id)
# -- coding: utf-8 -- # Copyright 2021, CS GROUP - France, https://www.csgroup.eu/ # # This file is part of EODAG project # https://www.github.com/CS-SI/EODAG # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import unittest from tests import TEST_RESOURCES_PATH from tests.context import ( EODataAccessGateway, FilterDate, FilterLatestByName, FilterOverlap, FilterProperty, SearchResult, ) class TestSearchStacStatic(unittest.TestCase): def setUp(self): super(TestSearchStacStatic, self).setUp() self.dag = EODataAccessGateway() self.cat_dir_path = self.root_cat = os.path.join(TEST_RESOURCES_PATH, "stac") self.root_cat = os.path.join(self.cat_dir_path, "catalog.json") self.root_cat_len = 5 self.child_cat = os.path.join( self.cat_dir_path, "country", "FRA", "year", "2018", "2018.json" ) self.child_cat_len = 2 self.item = os.path.join( os.path.dirname(self.child_cat), "items", "S2A_MSIL1C_20181231T141041_N0207_R110_T21NYF_20181231T155050", "S2A_MSIL1C_20181231T141041_N0207_R110_T21NYF_20181231T155050.json", ) self.singlefile_cat = os.path.join(TEST_RESOURCES_PATH, "stac_singlefile.json") self.singlefile_cat_len = 5 self.stac_provider = "astraea_eod" self.product_type = "S2_MSI_L1C" self.extent_big = {"lonmin": -55, "lonmax": -53, "latmin": 2, "latmax": 5} self.extent_small = {"lonmin": -55, "lonmax": -54.5, "latmin": 2, "latmax": 2.5} self.static_stac_provider = "foo_static" self.dag.update_providers_config( f""" {self.static_stac_provider}: search: type: StaticStacSearch api_endpoint: {self.root_cat} products: GENERIC_PRODUCT_TYPE: productType: '{{productType}}' download: type: HTTPDownload base_uri: https://fake-endpoint flatten_top_dirs: True """ ) self.dag.set_preferred_provider(self.static_stac_provider) def test_search_stac_static_load_child(self): """load_stac_items from child catalog must provide items""" items = self.dag.load_stac_items( self.child_cat, recursive=True, provider=self.stac_provider ) self.assertIsInstance(items, SearchResult) self.assertEqual(len(items), self.child_cat_len) self.assertEqual(items[0].provider, self.stac_provider) # if no product_type is provided, product_type should be guessed from properties self.assertEqual(items[0].product_type, "S2_MSI_L1C") def test_search_stac_static_load_root_not_recursive(self): """load_stac_items from root must provide an empty list when no recursive""" items = self.dag.load_stac_items( self.root_cat, recursive=False, provider=self.stac_provider ) self.assertEqual(len(items), 0) def test_search_stac_static_load_root_recursive(self): """load_stac_items from root must provide items when recursive""" items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, ) self.assertEqual(len(items), self.root_cat_len) for item in items: self.assertEqual(item.provider, self.stac_provider) self.assertEqual(item.product_type, self.product_type) def test_search_stac_static(self): """Use StaticStacSearch plugin to search all items""" items, nb = self.dag.search() self.assertEqual(len(items), self.root_cat_len) self.assertEqual(nb, self.root_cat_len) for item in items: self.assertEqual(item.provider, self.static_stac_provider) def test_search_stac_static_load_item(self): """load_stac_items from a single item must provide it""" item = self.dag.load_stac_items(self.item, provider=self.stac_provider) self.assertIsInstance(item, SearchResult) self.assertEqual(len(item), 1) self.assertEqual(item[0].provider, self.stac_provider) # if no product_type is provided, product_type should be guessed from properties self.assertEqual(item[0].product_type, "S2_MSI_L1C") def test_search_stac_static_load_item_updated_provider(self): """load_stac_items from a single item using updated provider""" item = self.dag.load_stac_items(self.item, provider=self.stac_provider) self.assertEqual(item[0].properties["license"], "proprietary") self.assertEqual(item[0].properties["platform"], "S2ST") self.assertEqual(item[0].properties["orbitDirection"], "descending") self.assertNotIn("foo", item[0].properties) # fake provider with mixed metadata_mapping self.dag.update_providers_config( """ fake_provider: search: type: StacSearch api_endpoint: 'https://fake-endpoint' metadata_mapping: license: '{platform}' foo: '{orbitDirection}' products: GENERIC_PRODUCT_TYPE: productType: '{productType}' download: type: HTTPDownload base_uri: 'https://fake-uri' """ ) item = self.dag.load_stac_items( self.item, provider="fake_provider", raise_errors=True ) self.assertEqual(item[0].properties["platform"], "S2ST") self.assertEqual(item[0].properties["license"], "S2ST") self.assertEqual(item[0].properties["orbitDirection"], "descending") self.assertIn("foo", item[0].properties) self.assertEqual(item[0].properties["foo"], "descending") @unittest.skip( "skipped as single-file-stac has been removed and is being rethought" ) def test_search_stac_static_load_singlefile_catalog(self): """load_stac_items from child catalog must provide items""" items = self.dag.load_stac_items( self.singlefile_cat, provider=self.stac_provider ) self.assertIsInstance(items, SearchResult) self.assertEqual(len(items), self.singlefile_cat_len) self.assertEqual(items[0].provider, self.stac_provider) # if no product_type is provided, product_type is None self.assertIsNone(items[0].product_type) def test_search_stac_static_crunch_filter_date(self): """load_stac_items from root and filter by date""" items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, ) filtered_items = items.crunch( FilterDate({"start": "2018-01-01", "end": "2019-01-01"}) ) self.assertEqual(len(filtered_items), self.child_cat_len) for item in filtered_items: self.assertIn("2018", item.properties["startTimeFromAscendingNode"]) def test_search_stac_static_by_date(self): """Use StaticStacSearch plugin to search by date""" filtered_items, nb = self.dag.search(start="2018-01-01", end="2019-01-01") self.assertEqual(len(filtered_items), self.child_cat_len) self.assertEqual(nb, self.child_cat_len) for item in filtered_items: self.assertIn("2018", item.properties["startTimeFromAscendingNode"]) def test_search_stac_static_crunch_filter_overlap(self): """load_stac_items from root and filter by overlap""" # tests over extent_big search geometry items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, geom=self.extent_big, ) self.assertEqual(len(items), self.root_cat_len) filtered_items = items.crunch( FilterOverlap({"minimum_overlap": 10}), geometry=self.extent_big ) self.assertEqual(len(filtered_items), 3) filtered_items = items.crunch( FilterOverlap({"minimum_overlap": 100}), geometry=self.extent_big ) self.assertEqual(len(filtered_items), 1) filtered_items = items.crunch( FilterOverlap({"within": True}), geometry=self.extent_big ) self.assertEqual(len(filtered_items), 1) filtered_items = items.crunch( FilterOverlap({"contains": True}), geometry=self.extent_big ) self.assertEqual(len(filtered_items), 0) filtered_items = items.crunch( FilterOverlap({"intersects": True}), geometry=self.extent_big ) self.assertEqual(len(filtered_items), 3) # tests over extent_small search geometry items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, geom=self.extent_small, ) self.assertEqual(len(items), self.root_cat_len) filtered_items = items.crunch( FilterOverlap({"contains": True}), geometry=self.extent_small ) self.assertEqual(len(filtered_items), 1) def test_search_stac_static_by_geom(self): """Use StaticStacSearch plugin to search by geometry""" items, nb = self.dag.search( geom=self.extent_big, ) self.assertEqual(len(items), 3) self.assertEqual(nb, 3) def test_search_stac_static_crunch_filter_property(self): """load_stac_items from root and filter by property""" items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, ) self.assertEqual(len(items), self.root_cat_len) filtered_items = items.crunch(FilterProperty({"orbitNumber": 110})) self.assertEqual(len(filtered_items), 3) filtered_items = items.crunch( FilterProperty({"platformSerialIdentifier": "S2A", "operator": "eq"}) ) self.assertEqual(len(filtered_items), 4) filtered_items = items.crunch( FilterProperty({"cloudCover": 10, "operator": "lt"}) ) self.assertEqual(len(filtered_items), 1) def test_search_stac_static_by_property(self): """Use StaticStacSearch plugin to search by property""" items, nb = self.dag.search(orbitNumber=110) self.assertEqual(len(items), 3) self.assertEqual(nb, 3) def test_search_stac_static_by_cloudcover(self): """Use StaticStacSearch plugin to search by cloud cover""" items, nb = self.dag.search(cloudCover=10) self.assertEqual(len(items), 1) self.assertEqual(nb, 1) def test_search_stac_static_crunch_filter_lastest_by_name(self): """load_stac_items from root and filter by name""" items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, ) self.assertEqual(len(items), self.root_cat_len) filtered_items = items.crunch( FilterLatestByName( {"name_pattern": r"S2[AB]_MSIL1C_20(?P<tileid>\d{6}).T21NY."} ) ) self.assertEqual(len(filtered_items), 2)
from datetime import datetime from dependency_injector.wiring import inject, Provide from fastapi import Depends, FastAPI, Request from .configuration import WebhookGatewayConfig from .request import WebhookRequest from .routes.service import RouteService api = FastAPI() start_time = datetime.now() @api.post("/route/{route_name}") @inject async def dispatch( route_name: str, req: Request, routes: RouteService = Depends(Provide[WebhookGatewayConfig.routes_service]), ): wrapper_req = WebhookRequest(req) await wrapper_req.init() # Awaits request body call_results = routes.dispatch(route_name, wrapper_req) return {"route": route_name, "called_rules": [r.__dict__ for r in call_results]} @api.get("/status") @inject async def status( routes: RouteService = Depends(Provide[WebhookGatewayConfig.routes_service]), ): delta = datetime.now() - start_time delta_str_without_micros = str(delta).split(".")[0] return { "status": "available", "route_count": routes.route_count, "uptime": delta_str_without_micros, }
#!/usr/bin/env python import sys from collections import defaultdict import itertools from operator import itemgetter s = 0.005 outputLine = 30 C1 = defaultdict(int) L1 = set() C2 = defaultdict(int) L2 = set() C3 = defaultdict(int) L3 = defaultdict(int) fr = open('baskets', 'r') # Calculate C1 basketCount = 0 for line in fr: basket = line.strip() items = basket.split() for item in items: if item in C1: C1[item] += 1 else: C1[item] = 1 basketCount += 1 # Define support support = s * basketCount # Calculate L1 for item in C1: if C1[item] >= support: L1.add(item) # Calculate C2 for pair in itertools.combinations(sorted(L1), 2): C2[pair] = 0 fr.seek(0) for line in fr: basket = line.strip() items = basket.split() for pair in itertools.combinations(sorted(items), 2): if pair in C2: C2[pair] += 1 # Calculate L2 for pair in C2: if C2[pair] >= support: if pair[0] in L1 and pair[1] in L1: L2.add(pair) # Calculate C3 decomposed_L2 = set() for pair in L2: decomposed_L2.add(pair[0]) decomposed_L2.add(pair[1]) for triple in itertools.combinations(sorted(decomposed_L2), 3): C3[triple] = 0 fr.seek(0) for line in fr: basket = line.strip() items = basket.split() for triple in itertools.combinations(sorted(items), 3): if triple in C3: C3[triple] += 1 # Calculate L3 for triple in C3: if C3[triple] >= support: L3[triple] = C3[triple] for triple in sorted(L3.items(), key=itemgetter(1), reverse=True): print triple[0][0], triple[0][1], triple[0][2] outputLine -= 1 if not outputLine: break
#===- enumerations.py - Python Enumerations ------------------- python ---===# # # The LLVM37 Compiler Infrastructure # # This file is distributed under the University of Illinois Open Source # License. See LICENSE.TXT for details. # #===------------------------------------------------------------------------===# """ Clang Enumerations ================== This module provides static definitions of enumerations that exist in libclang. Enumerations are typically defined as a list of tuples. The exported values are typically munged into other types or classes at module load time. All enumerations are centrally defined in this file so they are all grouped together and easier to audit. And, maybe even one day this file will be automatically generated by scanning the libclang headers! """ # Maps to CXTokenKind. Note that libclang maintains a separate set of token # enumerations from the C++ API. TokenKinds = [ ('PUNCTUATION', 0), ('KEYWORD', 1), ('IDENTIFIER', 2), ('LITERAL', 3), ('COMMENT', 4), ] __all__ = ['TokenKinds']
# This file is part of Indico. # Copyright (C) 2002 - 2021 CERN # # Indico is free software; you can redistribute it and/or # modify it under the terms of the MIT License; see the # LICENSE file for more details. from __future__ import unicode_literals from wtforms import BooleanField, StringField from wtforms.fields.html5 import EmailField from wtforms.validators import DataRequired, Email from indico.util.i18n import _ from indico.web.forms.base import IndicoForm from indico.web.forms.validators import UsedIfChecked from indico.web.forms.widgets import SwitchWidget class CephalopodForm(IndicoForm): joined = BooleanField('Join the community', widget=SwitchWidget()) contact_name = StringField('Contact Name', [UsedIfChecked('joined'), DataRequired()], description=_('Name of the person responsible for your Indico server.')) contact_email = EmailField('Contact Email', [UsedIfChecked('joined'), DataRequired(), Email()], description=_('Email address of the person responsible for your Indico server.'))
import rospy import subprocess import threading import re from lg_common.msg import WindowGeometry import awesome class ManagedWindow(object): def __init__(self, w_name=None, w_class=None, w_instance=None, geometry=None, visible=True, chrome_kiosk_workaround=False): self.w_name = w_name self.w_class = w_class self.w_instance = w_instance self.geometry = geometry self.is_visible = visible self.chrome_kiosk_workaround = chrome_kiosk_workaround self.lock = threading.RLock() self.proc = None rospy.on_shutdown(self._cleanup_proc) @staticmethod def parse_geometry(geometry): """ Parses Xorg window geometry in the form WxH[+-]X[+-]Y Raises ValueError if the geometry string is invalid. """ m = re.match(r'^(\d+)x(\d+)([+-]\d+)([+-]\d+)$', geometry) if m is None: raise ValueError( 'Invalid window geometry: {}'.format(geometry)) dims = map(int, m.groups()) return WindowGeometry(width=dims[0], height=dims[1], x=dims[2], y=dims[3]) @staticmethod def lookup_viewport_geometry(viewport_key): """ Looks up geometry for the given viewport name. Raises KeyError if the viewport is not configured. """ param_name = '/viewport/{}'.format(viewport_key) if not rospy.has_param(param_name): raise KeyError( 'Viewport parameter not set: {}'.format(param_name)) viewport_value = rospy.get_param(param_name) return ManagedWindow.parse_geometry(viewport_value) @staticmethod def get_viewport_geometry(): """ Returns WindowGeometry if the private '~viewport' param is set. Returns None if the private '~viewport' param is not set. """ if rospy.has_param('~viewport'): viewport = rospy.get_param('~viewport') geometry = ManagedWindow.lookup_viewport_geometry(viewport) else: geometry = None return geometry def _get_command(self): with self.lock: cmd = [] cmd.append('echo "{}" \| /usr/bin/awesome-client'.format( awesome.get_script(self, chrome_kiosk_workaround=self.chrome_kiosk_workaround) )) return cmd def _cleanup_proc(self): with self.lock: if self.proc is not None: self.proc.kill() def set_visibility(self, visible): with self.lock: self.is_visible = visible def set_geometry(self, geometry): with self.lock: self.geometry = geometry def converge(self): with self.lock: cmd = self._get_command() self._cleanup_proc() cmd_str = ' '.join(cmd) rospy.logdebug(cmd_str) try: awesome.setup_environ() except Exception as e: rospy.logerr( 'failed to setup awesome environment: {}'.format(e.message) ) try: self.proc = subprocess.Popen(cmd, close_fds=True, shell=True) self.proc.wait() self.proc = None except OSError: rospy.logerr('failed to run {}'.format(cmd_str)) # vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4
from pydantic import BaseModel, Field from .value_objects import UUID from .mixins import BusinessRuleValidationMixin class Entity(BusinessRuleValidationMixin, BaseModel): id: UUID = Field(default_factory=UUID.v4)
#!/usr/bin/env python # # Licensed under the Apache License, Version 2.0 (the "License"); # You may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0OA # # Authors: # - Wen Guan, <wen.guan@cern.ch>, 2019 import datetime from traceback import format_exc from flask import Blueprint from idds.common import exceptions from idds.common.constants import HTTP_STATUS_CODE from idds.core.requests import get_requests from idds.rest.v1.controller import IDDSController class Monitor(IDDSController): """ Monitor """ def get_month_list(self, start, end): mlist = [] total_months = lambda dt: dt.month + 12 * dt.year for tot_m in range(total_months(start) - 1, total_months(end)): y, m = divmod(tot_m, 12) mlist.append(datetime.datetime(y, m + 1, 1).strftime("%Y-%m")) return mlist def get_requests(self, request_id, workload_id, with_request=False, with_transform=False, with_processing=False): if with_request: rets, ret_reqs = [], {} reqs = get_requests(request_id=request_id, workload_id=workload_id, with_detail=True, with_processing=False, with_metadata=False) for req in reqs: if req['request_id'] not in ret_reqs: ret_reqs[req['request_id']] = {'request_id': req['request_id'], 'workload_id': req['workload_id'], 'status': req['status'].name if req['status'] else req['status'], 'created_at': req['created_at'], 'updated_at': req['updated_at'], 'transforms': {}, 'input_total_files': 0, 'input_coll_bytes': 0, 'input_processed_files': 0, 'input_processing_files': 0, 'output_total_files': 0, 'output_coll_bytes': 0, 'output_processed_files': 0, 'output_processing_files': 0 } if req['transform_status']: if req['transform_status'].name not in ret_reqs[req['request_id']]['transforms']: ret_reqs[req['request_id']]['transforms'][req['transform_status'].name] = 0 ret_reqs[req['request_id']]['transforms'][req['transform_status'].name] += 1 if req['input_total_files']: ret_reqs[req['request_id']]['input_total_files'] += req['input_total_files'] if req['input_coll_bytes']: ret_reqs[req['request_id']]['input_coll_bytes'] += req['input_coll_bytes'] if req['input_processed_files']: ret_reqs[req['request_id']]['input_processed_files'] += req['input_processed_files'] if req['input_processing_files']: ret_reqs[req['request_id']]['input_processing_files'] += req['input_processing_files'] if req['output_total_files']: ret_reqs[req['request_id']]['output_total_files'] += req['output_total_files'] if req['output_coll_bytes']: ret_reqs[req['request_id']]['output_coll_bytes'] += req['output_coll_bytes'] if req['output_processed_files']: ret_reqs[req['request_id']]['output_processed_files'] += req['output_processed_files'] if req['output_processing_files']: ret_reqs[req['request_id']]['output_processing_files'] += req['output_processing_files'] for req_id in ret_reqs: rets.append(ret_reqs[req_id]) return rets elif with_transform: rets = [] reqs = get_requests(request_id=request_id, workload_id=workload_id, with_detail=True, with_processing=False, with_metadata=False) for req in reqs: ret = {'request_id': req['request_id'], 'transform_id': req['transform_id'], 'workload_id': req['workload_id'], 'transform_workload_id': req['transform_workload_id'], 'transform_type': req['transform_type'].name if req['transform_type'] else req['transform_type'], 'output_coll_scope': req['output_coll_scope'], 'output_coll_name': req['output_coll_name'], 'transform_status': req['transform_status'].name if req['transform_status'] else req['transform_status'], 'transform_created_at': req['transform_created_at'], 'transform_updated_at': req['transform_updated_at'], 'transform_finished_at': req['transform_finished_at'], 'input_total_files': req['input_total_files'] if req['input_total_files'] else 0, 'input_coll_bytes': req['input_coll_bytes'] if req['input_coll_bytes'] else 0, 'input_processed_files': req['input_processed_files'] if req['input_processed_files'] else 0, 'input_processing_files': req['input_processing_files'] if req['input_processing_files'] else 0, 'output_total_files': req['output_total_files'] if req['output_total_files'] else 0, 'output_coll_bytes': req['output_coll_bytes'] if req['output_coll_bytes'] else 0, 'output_processed_files': req['output_processed_files'] if req['output_processed_files'] else 0, 'output_processing_files': req['output_processing_files'] if req['output_processing_files'] else 0, 'errors': req['errors'] } rets.append(ret) return rets elif with_processing: rets = [] reqs = get_requests(request_id=request_id, workload_id=workload_id, with_detail=False, with_processing=True, with_metadata=False) for req in reqs: ret = {'request_id': req['request_id'], 'workload_id': req['workload_id'], 'processing_id': req['processing_id'], 'processing_status': req['processing_status'].name if req['processing_status'] else req['processing_status'], 'processing_created_at': req['processing_created_at'], 'processing_updated_at': req['processing_updated_at'], 'processing_finished_at': req['processing_finished_at'] } rets.append(ret) return rets else: rets = [] reqs = get_requests(request_id=request_id, workload_id=workload_id, with_detail=False, with_processing=False, with_metadata=False) for req in reqs: ret = {'request_id': req['request_id'], 'workload_id': req['workload_id'], 'status': req['status'].name if req['status'] else req['status'], 'created_at': req['created_at'], 'updated_at': req['updated_at'] } rets.append(ret) return rets def get(self, request_id, workload_id, with_request='false', with_transform='false', with_processing='false'): """ Get details about a specific Request with given id. HTTP Success: 200 OK HTTP Error: 404 Not Found 500 InternalError :returns: dictionary of an request. """ try: if request_id == 'null': request_id = None if workload_id == 'null': workload_id = None if with_request and with_request.lower() in ['true']: with_request = True else: with_request = False if with_transform and with_transform.lower() in ['true']: with_transform = True else: with_transform = False if with_processing and with_processing.lower() in ['true']: with_processing = True else: with_processing = False rets = self.get_requests(request_id=request_id, workload_id=workload_id, with_request=with_request, with_transform=with_transform, with_processing=with_processing) except exceptions.NoObject as error: return self.generate_http_response(HTTP_STATUS_CODE.NotFound, exc_cls=error.__class__.__name__, exc_msg=error) except exceptions.IDDSException as error: return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=error.__class__.__name__, exc_msg=error) except Exception as error: print(error) print(format_exc()) return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=exceptions.CoreException.__name__, exc_msg=error) return self.generate_http_response(HTTP_STATUS_CODE.OK, data=rets) def post_test(self): import pprint pprint.pprint(self.get_request()) pprint.pprint(self.get_request().endpoint) pprint.pprint(self.get_request().url_rule) class MonitorRequest(Monitor): """ Monitor Request """ def get(self, request_id, workload_id): """ Get details about a specific Request with given id. HTTP Success: 200 OK HTTP Error: 404 Not Found 500 InternalError :returns: dictionary of an request. """ try: if request_id == 'null': request_id = None if workload_id == 'null': workload_id = None rets = self.get_requests(request_id=request_id, workload_id=workload_id, with_request=False, with_transform=False, with_processing=False) status_dict = {'Total': {}} min_time, max_time = None, None for ret in rets: if ret['status'] not in status_dict: status_dict[ret['status']] = {} if min_time is None or ret['updated_at'] < min_time: min_time = ret['updated_at'] if max_time is None or ret['updated_at'] > max_time: max_time = ret['updated_at'] month_list = self.get_month_list(min_time, max_time) for key in status_dict: for m in month_list: status_dict[key][m] = 0 for ret in rets: m_time = ret['updated_at'].strftime(r"%Y-%m") status_dict['Total'][m_time] += 1 status_dict[ret['status']][m_time] += 1 status_dict_acc = {} for key in status_dict: status_dict_acc[key] = {} for i in range(len(month_list)): if i == 0: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] else: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] + status_dict_acc[key][month_list[i - 1]] ret_status = {'total': len(rets), 'month_status': status_dict, 'month_acc_status': status_dict_acc} except exceptions.NoObject as error: return self.generate_http_response(HTTP_STATUS_CODE.NotFound, exc_cls=error.__class__.__name__, exc_msg=error) except exceptions.IDDSException as error: return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=error.__class__.__name__, exc_msg=error) except Exception as error: print(error) print(format_exc()) return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=exceptions.CoreException.__name__, exc_msg=error) return self.generate_http_response(HTTP_STATUS_CODE.OK, data=ret_status) class MonitorTransform(Monitor): """ Monitor Transform """ def get(self, request_id, workload_id): """ Get details about a specific Request with given id. HTTP Success: 200 OK HTTP Error: 404 Not Found 500 InternalError :returns: dictionary of an request. """ try: if request_id == 'null': request_id = None if workload_id == 'null': workload_id = None rets = self.get_requests(request_id=request_id, workload_id=workload_id, with_request=False, with_transform=True, with_processing=False) status_dict = {'Total': {}} status_dict_by_type = {} processed_files, processed_bytes = {}, {} processed_files_by_type, processed_bytes_by_type = {}, {} min_time, max_time = None, None total_files, total_bytes = 0, 0 for ret in rets: if ret['transform_status'] and ret['transform_status'] not in status_dict: status_dict[ret['transform_status']] = {} if ret['transform_type'] and ret['transform_type'] not in status_dict_by_type: status_dict_by_type[ret['transform_type']] = {} processed_files_by_type[ret['transform_type']] = {} processed_bytes_by_type[ret['transform_type']] = {} if ret['transform_updated_at'] and (min_time is None or ret['transform_updated_at'] < min_time): min_time = ret['transform_updated_at'] if ret['transform_updated_at'] and (max_time is None or ret['transform_updated_at'] > max_time): max_time = ret['transform_updated_at'] month_list = self.get_month_list(min_time, max_time) for key in status_dict: processed_files[key] = {} processed_bytes[key] = {} for t_type in status_dict_by_type: status_dict_by_type[t_type][key] = {} processed_files_by_type[t_type][key] = {} processed_bytes_by_type[t_type][key] = {} for m in month_list: status_dict[key][m] = 0 processed_files[key][m] = 0 processed_bytes[key][m] = 0 for t_type in status_dict_by_type: status_dict_by_type[t_type][key][m] = 0 processed_files_by_type[t_type][key][m] = 0 processed_bytes_by_type[t_type][key][m] = 0 for ret in rets: if not ret['transform_updated_at']: continue m_time = ret['transform_updated_at'].strftime(r"%Y-%m") status_dict['Total'][m_time] += 1 status_dict[ret['transform_status']][m_time] += 1 processed_files[ret['transform_status']][m_time] += ret['output_processed_files'] # processed_bytes[ret['transform_status']][m_time] += ret['output_coll_bytes'] # output_coll_bytes is not filled, need to be fixed on the server processed_bytes[ret['transform_status']][m_time] += ret['input_coll_bytes'] processed_files['Total'][m_time] += ret['output_processed_files'] # processed_bytes['Total'][m_time] += ret['output_coll_bytes'] processed_bytes['Total'][m_time] += ret['input_coll_bytes'] total_files += ret['output_processed_files'] total_bytes += ret['output_coll_bytes'] total_bytes += ret['input_coll_bytes'] t_type = ret['transform_type'] status_dict_by_type[t_type][ret['transform_status']][m_time] += 1 processed_files_by_type[t_type][ret['transform_status']][m_time] += ret['output_processed_files'] # processed_bytes_by_type[t_type][ret['transform_status']][m_time] += ret['output_coll_bytes'] processed_bytes_by_type[t_type][ret['transform_status']][m_time] += ret['input_coll_bytes'] status_dict_by_type[t_type]['Total'][m_time] += 1 processed_files_by_type[t_type]['Total'][m_time] += ret['output_processed_files'] # processed_bytes_by_type[t_type]['Total'][m_time] += ret['output_coll_bytes'] processed_bytes_by_type[t_type]['Total'][m_time] += ret['input_coll_bytes'] status_dict_acc = {} processed_files_acc, processed_bytes_acc = {}, {} status_dict_by_type_acc = {} processed_files_by_type_acc = {} processed_bytes_by_type_acc = {} for t_type in status_dict_by_type: status_dict_by_type_acc[t_type] = {} processed_files_by_type_acc[t_type] = {} processed_bytes_by_type_acc[t_type] = {} for key in status_dict: status_dict_acc[key] = {} processed_files_acc[key] = {} processed_bytes_acc[key] = {} for t_type in status_dict_by_type: status_dict_by_type_acc[t_type][key] = {} processed_files_by_type_acc[t_type][key] = {} processed_bytes_by_type_acc[t_type][key] = {} for i in range(len(month_list)): if i == 0: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] processed_files_acc[key][month_list[i]] = processed_files[key][month_list[i]] processed_bytes_acc[key][month_list[i]] = processed_bytes[key][month_list[i]] for t_type in status_dict_by_type_acc: status_dict_by_type_acc[t_type][key][month_list[i]] = status_dict_by_type[t_type][key][month_list[i]] processed_files_by_type_acc[t_type][key][month_list[i]] = processed_files_by_type[t_type][key][month_list[i]] processed_bytes_by_type_acc[t_type][key][month_list[i]] = processed_bytes_by_type[t_type][key][month_list[i]] else: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] + status_dict_acc[key][month_list[i - 1]] processed_files_acc[key][month_list[i]] = processed_files[key][month_list[i]] + processed_files_acc[key][month_list[i - 1]] processed_bytes_acc[key][month_list[i]] = processed_bytes[key][month_list[i]] + processed_bytes_acc[key][month_list[i - 1]] for t_type in status_dict_by_type_acc: status_dict_by_type_acc[t_type][key][month_list[i]] = status_dict_by_type[t_type][key][month_list[i]] + status_dict_by_type_acc[t_type][key][month_list[i - 1]] processed_files_by_type_acc[t_type][key][month_list[i]] = processed_files_by_type[t_type][key][month_list[i]] + processed_files_by_type_acc[t_type][key][month_list[i - 1]] processed_bytes_by_type_acc[t_type][key][month_list[i]] = processed_bytes_by_type[t_type][key][month_list[i]] + processed_bytes_by_type_acc[t_type][key][month_list[i - 1]] ret_status = {'total': len(rets), 'total_files': total_files, 'total_bytes': total_bytes, 'month_status': status_dict, 'month_acc_status': status_dict_acc, 'month_processed_files': processed_files, 'month_acc_processed_files': processed_files_acc, 'month_processed_bytes': processed_bytes, 'month_acc_processed_bytes': processed_bytes_acc, 'month_status_dict_by_type': status_dict_by_type, 'month_acc_status_dict_by_type': status_dict_by_type_acc, 'month_processed_files_by_type': processed_files_by_type, 'month_acc_processed_files_by_type': processed_files_by_type_acc, 'month_processed_bytes_by_type': processed_bytes_by_type, 'month_acc_processed_bytes_by_type': processed_bytes_by_type_acc } except exceptions.NoObject as error: return self.generate_http_response(HTTP_STATUS_CODE.NotFound, exc_cls=error.__class__.__name__, exc_msg=error) except exceptions.IDDSException as error: return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=error.__class__.__name__, exc_msg=error) except Exception as error: print(error) print(format_exc()) return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=exceptions.CoreException.__name__, exc_msg=error) return self.generate_http_response(HTTP_STATUS_CODE.OK, data=ret_status) class MonitorProcessing(Monitor): """ Monitor Processing """ def get(self, request_id, workload_id): """ Get details about a specific Request with given id. HTTP Success: 200 OK HTTP Error: 404 Not Found 500 InternalError :returns: dictionary of an request. """ try: if request_id == 'null': request_id = None if workload_id == 'null': workload_id = None rets = self.get_requests(request_id=request_id, workload_id=workload_id, with_request=False, with_transform=False, with_processing=True) status_dict = {'Total': {}} min_time, max_time = None, None for ret in rets: if ret['processing_status'] and ret['processing_status'] not in status_dict: status_dict[ret['processing_status']] = {} if ret['processing_updated_at'] and (min_time is None or ret['processing_updated_at'] < min_time): min_time = ret['processing_updated_at'] if ret['processing_updated_at'] and (max_time is None or ret['processing_updated_at'] > max_time): max_time = ret['processing_updated_at'] month_list = self.get_month_list(min_time, max_time) for key in status_dict: for m in month_list: status_dict[key][m] = 0 for ret in rets: if ret['processing_updated_at']: m_time = ret['processing_updated_at'].strftime(r"%Y-%m") status_dict['Total'][m_time] += 1 status_dict[ret['processing_status']][m_time] += 1 status_dict_acc = {} for key in status_dict: status_dict_acc[key] = {} for i in range(len(month_list)): if i == 0: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] else: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] + status_dict_acc[key][month_list[i - 1]] ret_status = {'total': len(rets), 'month_status': status_dict, 'month_acc_status': status_dict_acc} except exceptions.NoObject as error: return self.generate_http_response(HTTP_STATUS_CODE.NotFound, exc_cls=error.__class__.__name__, exc_msg=error) except exceptions.IDDSException as error: return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=error.__class__.__name__, exc_msg=error) except Exception as error: print(error) print(format_exc()) return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=exceptions.CoreException.__name__, exc_msg=error) return self.generate_http_response(HTTP_STATUS_CODE.OK, data=ret_status) """---------------------- Web service url maps ----------------------""" def get_blueprint(): bp = Blueprint('monitor', __name__) monitor_view = Monitor.as_view('monitor') bp.add_url_rule('/monitor/<request_id>/<workload_id>/<with_request>/<with_transform>/<with_processing>', view_func=monitor_view, methods=['get', ]) monitor_request_view = MonitorRequest.as_view('monitor_request') bp.add_url_rule('/monitor_request/<request_id>/<workload_id>', view_func=monitor_request_view, methods=['get', ]) monitor_transform_view = MonitorTransform.as_view('monitor_transform') bp.add_url_rule('/monitor_transform/<request_id>/<workload_id>', view_func=monitor_transform_view, methods=['get', ]) monitor_processing_view = MonitorProcessing.as_view('monitor_processing') bp.add_url_rule('/monitor_processing/<request_id>/<workload_id>', view_func=monitor_processing_view, methods=['get', ]) return bp
import sys import json import shutil from urllib.parse import urlparse from contextlib import redirect_stdout import sh import humanize from loguru import logger from .config import config from .utils import get_process_memory, get_process_cpu, get_current_time from .download_handlers import DEFAULT_PROVIDER, get_provider_dict STATUS_FILENAME = '.plyder.status' LOG_FILENAME = '.download.log' PROVIDER_DICT = get_provider_dict(config) @logger.catch def download_url(url: str, output_dir: str) -> bool: o = urlparse(url) provider = PROVIDER_DICT.get(o.netloc) if provider is None: logger.warning(f'No provider for "{url}" found, using wget fallback') provider = DEFAULT_PROVIDER logger.info(f'[{provider["name"]}] Downloading "{url}" to "{output_dir}"') try: func = provider['function'] if isinstance(func, sh.Command): func(url, output_dir, _out=sys.stdout, _err_to_out=True) else: func(url, output_dir) except Exception as e: logger.exception(e) return False return True def download_package(job: 'JobSubmission') -> None: # prepare environment output_dir = config['download_directory'] / job.package_name output_dir.mkdir(parents=True, exist_ok=True) with (output_dir / STATUS_FILENAME).open('w') as fd: json.dump({'status': 'running', 'start_time': get_current_time()}, fd) # download logger.info(f'Processing "{job.package_name}"') with (output_dir / LOG_FILENAME).open('w') as fd: with redirect_stdout(fd): any_url_failed = False for url in job.url_field: success = download_url(url, output_dir) any_url_failed \|= not success logger.info(f'Finished "{job.package_name}"') # update final status with (output_dir / STATUS_FILENAME).open() as fd: status_data = json.load(fd) status_data['status'] = 'failed' if any_url_failed else 'done' status_data['end_time'] = get_current_time() with (output_dir / STATUS_FILENAME).open('w') as fd: json.dump(status_data, fd) def clean_packages() -> None: if not config['download_directory'].exists(): logger.warning( f'Download directory ({config["download_directory"]}) does not exist.' ) return for entry in config['download_directory'].iterdir(): if not entry.is_dir(): continue status_file = entry / STATUS_FILENAME if not status_file.exists(): continue with status_file.open() as fd: info = json.load(fd) if info['status'] not in ('done', 'failed'): logger.warning( f'Package "{entry.name}" in inconsistent state, setting to failed' ) with status_file.open('w') as fd: json.dump({'status': 'failed'}, fd) def list_packages(): if not config['download_directory'].exists(): logger.warning( f'Download directory ({config["download_directory"]}) does not exist.' ) return [] res = [] for entry in config['download_directory'].iterdir(): if not entry.is_dir(): continue # read log log_file = entry / LOG_FILENAME if log_file.exists(): with log_file.open() as fd: log_text = fd.read()[-10000:] # truncate else: log_text = '' # assemble information status_file = entry / STATUS_FILENAME try: with status_file.open() as fd: info = json.load(fd) except (FileNotFoundError, json.decoder.JSONDecodeError): # due to race conditions, the file may not contain valid JSON # even if it exists info = {'status': 'unknown'} res.append({'name': entry.name, 'info': info, 'log': log_text}) return res def get_server_info(): if config['download_directory'].exists(): total, used, free = shutil.disk_usage(config['download_directory']) else: total, used, free = -1, -1, -1 return { 'download_directory': str(config['download_directory']), 'disk_usage': { 'total': humanize.naturalsize(total), 'used': humanize.naturalsize(used), 'free': humanize.naturalsize(free), }, 'process': { 'memory': round(get_process_memory(), 2), 'cpu': round(get_process_cpu(), 2), }, }
import json import urllib import pymysql def videoList(): url = '주소를 쓰거라' jsonData = urllib.urlopen(url) data = json.loads(jsonData) videoId = data["videoId"] videoTitle = data["title"] videoId = data["id"] def messages(): url = '' jsonData = urllib.urlopen(url) data = json.loads(jsonData) def youtube(): url = '' jsonData = urllib.urlopen(url) data = json.loads(jsonData) videoStop = data["videoStop"] videoEnd = data["videoEnd"] videoSec = data["Number"] sql = "SELECT * FROM 'naver-db'" cursor.execute(sql) result = cursor.fetchall()
import win32con import win32clipboard print('本程序可以模仿马雷用人名刷屏的行为.\n') inputString = input("请输入要重复的字符串:\n") if(inputString ==""): print("使用默认重复串。\n") inputString = "malayniubi" inputTimes = abs(int(input("请输入要重复的次数:\n"))) if(inputTimes == 0): print("至少重复一次。\n已使用默认重复次数 100。\n") inputTimes = 100 print("你的马雷序列如下:\n") MalayString = (inputString.lower()+inputString.upper())*inputTimes print(MalayString) win32clipboard.OpenClipboard() win32clipboard.EmptyClipboard() win32clipboard.SetClipboardData(win32con.CF_UNICODETEXT, MalayString) win32clipboard.CloseClipboard() print("已经将结果输出到剪贴板。\n按任意键退出程序。\n") input()
#!/usr/bin/env python # -- coding: utf-8 -- """ Interest rate is bank service that periodically deposits an interest amount to each account in the database based on some fixed rate. """ from time import time from threading import Thread, Event, Lock class InterestRateManager( Thread ): #DEFAULT VALUES PERIOD = 10*60 # in Seconds RATE = 0.05 def __init__( self, accounts, depositInterest, rate = 0.05 ): self.RATE = rate Thread.__init__( self ) self.__accounts = accounts self.__handler = depositInterest self.__schedule = [] self.__lock = Lock() self.__terminateFlag = False self.__event = Event() self.start() def ScheduleDeposit( self, Aid ): if not self.__schedule: flag = True else: flag = False begining = self.__accounts[ str(Aid) ][ 'AdateOfBegin' ] self.__lock.acquire() self.__schedule.append( [ Aid, begining, 0 ] ) self.__lock.release() if flag: self.__event.set() def Close( self ): self.__terminateFlag = True self.__event.set() def __CalcTimeToNext( self ): timeToWait = time()-self.__schedule[0][1] n = int( timeToWait / self.PERIOD ) if n > self.__schedule[0][2]: return 0 else: timeToWait = timeToWait%self.PERIOD timeToWait = self.PERIOD-timeToWait return timeToWait def run( self ): while True: #Thread waits for event or timeout if self.__schedule: timeToWait = self.__CalcTimeToNext() self.__flag = True self.__event.clear() self.__event.wait( timeToWait ) else: self.__flag = False self.__event.clear() self.__event.wait() if self.__event.is_set(): #Close, First ScheduleDeposit if self.__terminateFlag: break else: #timeout if self.__accounts.get( str( self.__schedule[0][0] ), None ) is None: self.__deleteInterest() else: self.__applyRotationInterest() def __applyRotationInterest( self ): self.__lock.acquire() event = self.__schedule.pop(0) self.__handler( str( event[0] ), self.RATE ) event[2] += 1 self.__schedule.append( event ) self.__lock.release() def __deleteInterest( self ): self.__lock.acquire() self.__schedule.pop( 0 ) self.__lock.release()
import argparse import multiprocessing as mp import os from functools import partial import numpy as np import pandas as pd from qpputils import dataparser as dp from RBO import rbo_dict from Timer import Timer parser = argparse.ArgumentParser(description='Features for UQV query variations Generator', usage='python3 features.py -q queries.txt -c CORPUS -r QL.res ', epilog='Unless --generate is given, will try loading the file') parser.add_argument('-c', '--corpus', default='ROBUST', type=str, help='corpus (index) to work with', choices=['ROBUST', 'ClueWeb12B']) parser.add_argument('-g', '--group', help='group of queries to predict', choices=['top', 'low', 'medh', 'medl', 'title']) parser.add_argument('--quantile', help='quantile of query variants to use for prediction', default=None, choices=['all', 'low', 'low-0', 'high', 'cref']) parser.add_argument('-l', '--load', default=None, type=str, help='features file to load') parser.add_argument('--generate', help="generate new features file", action="store_true") parser.add_argument('--predict', help="generate new predictions", action="store_true") parser.add_argument('--graphs', default=None, help="generate new features for graphs", choices=['asce', 'desc']) parser.add_argument('-v', '--vars', default=None, type=int, help="number of variations, valid with graphs") NUMBER_OF_DOCS = (5, 10, 25, 50, 100, 250, 500) def jaccard_coefficient(st1: str, st2: str): st1_set = set(st1.split()) st2_set = set(st2.split()) union = st1_set.union(st2_set) intersect = st1_set.intersection(st2_set) return float(len(intersect) / len(union)) def list_overlap(x, y): x_set = set(x) intersection = x_set.intersection(y) return len(intersection) # TODO: Implement the class QueryFeatureFactory to be meta class that can be used by other classes class QueryFeatureFactory: """TODO: At the moment this will save for each combination a separate pickle file, should change it to a pickle file that consists of all the calculations and then filter the relevant query variations from it""" def __init__(self, corpus, queries_group, vars_quantile, *kwargs): self.top_docs_overlap = kwargs.get('top_docs_overlap', 10) self.rbo_top = kwargs.get('rbo_top', 100) self.corpus = corpus self.queries_group = queries_group graphs = kwargs.get('graphs', None) if graphs: n = kwargs.get('n', None) assert n, 'Missing number of vars' self.__set_graph_paths(corpus, queries_group, graphs, n) else: self.__set_paths(corpus, queries_group, vars_quantile) _raw_res_data = dp.ResultsReader(self.results_file, 'trec') if queries_group == 'title': _title_res_data = dp.ResultsReader(self.title_res_file, 'trec') self.prediction_queries_res_data = _title_res_data else: self.prediction_queries_res_data = _raw_res_data self.queries_data = dp.QueriesTextParser(self.queries_full_file, 'uqv') self.topics_data = dp.QueriesTextParser(self.queries_topic_file) # Uncomment the next lines if you want to write the basic results of the topic queries. # write_basic_results(self.prediction_queries_res_data.data_df.loc[self.topics_data.queries_df['qid']], corpus, # queries_group) # exit() # These 2 DF used for the filtering method self.variations_data = dp.QueriesTextParser(self.queries_variations_file, 'uqv') self.quantile_variations_data = dp.QueriesTextParser(self.queries_quantile_vars, 'uqv') # _var_scores_df.loc[_var_scores_df['qid'].isin(_vars_list)] self.raw_res_data = _raw_res_data self.fused_data = dp.ResultsReader(self.fused_results_file, 'trec') self.query_vars = self.queries_data.query_vars @classmethod def __set_paths(cls, corpus, qgroup, vars_quantile): """This method sets the default paths of the files and the working directories, it assumes the standard naming convention of the project""" # cls.predictor = predictor _corpus_res_dir = dp.ensure_dir(f'~/QppUqvProj/Results/{corpus}') _corpus_dat_dir = dp.ensure_dir(f'~/QppUqvProj/data/{corpus}') _results_file = f'{_corpus_res_dir}/test/raw/QL.res' cls.results_file = os.path.normpath(_results_file) dp.ensure_file(cls.results_file) _title_results_file = f'{_corpus_res_dir}/test/basic/QL.res' cls.title_res_file = os.path.normpath(_title_results_file) dp.ensure_file(cls.title_res_file) cls.queries_full_file = dp.ensure_file(f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.stemmed.txt') # The variations file is used in the filter function - it consists of all the vars w/o the query at hand _queries_variations_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_wo_{qgroup}.txt' cls.queries_variations_file = dp.ensure_file(_queries_variations_file) # The vars quantile file is used in the filter function - it consists of the relevant vars quantile if vars_quantile == 'all': _queries_quantile_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.txt' else: _queries_quantile_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_{vars_quantile}_variants.txt' cls.queries_quantile_vars = dp.ensure_file(_queries_quantile_file) _queries_topic_file = f'{_corpus_dat_dir}/queries_{corpus}_{qgroup}.stemmed.txt' cls.queries_topic_file = dp.ensure_file(_queries_topic_file) _fused_results_file = f'{_corpus_res_dir}/test/fusion/QL.res' cls.fused_results_file = dp.ensure_file(_fused_results_file) # cls.output_dir = dp.ensure_dir(f'{_corpus_res_dir}/test/raw/') _predictions_out = f'{_corpus_res_dir}/uqvPredictions/referenceLists/{qgroup}/{vars_quantile}_vars/sim_as_pred/' cls.predictions_output_dir = dp.ensure_dir(_predictions_out) cls.pkl_dir = dp.ensure_dir(f'{_corpus_res_dir}/test/ref/pkl_files/') @classmethod def __set_graph_paths(cls, corpus, qgroup, direct, n): """This method sets the default paths of the files and the working directories, it assumes the standard naming convention of the project""" # cls.predictor = predictor _corpus_res_dir = dp.ensure_dir(f'~/QppUqvProj/Results/{corpus}') _corpus_dat_dir = dp.ensure_dir(f'~/QppUqvProj/data/{corpus}') _graphs_base_dir = dp.ensure_dir(f'~/QppUqvProj/Graphs/{corpus}') _graphs_res_dir = dp.ensure_dir(f'{_graphs_base_dir}/referenceLists/{qgroup}/{direct}/{n}_vars') _graphs_dat_dir = dp.ensure_dir(f'{_graphs_base_dir}/data') cls.number_of_vars = n _results_file = f'{_corpus_res_dir}/test/raw/QL.res' cls.results_file = os.path.normpath(_results_file) dp.ensure_file(cls.results_file) _title_results_file = f'{_corpus_res_dir}/test/basic/QL.res' cls.title_res_file = os.path.normpath(_title_results_file) dp.ensure_file(cls.title_res_file) _queries_full_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.stemmed.txt' cls.queries_full_file = dp.ensure_file(_queries_full_file) # The variations file is used in the filter function - it consists of all the vars w/o the query at hand _queries_variations_file = f'{_graphs_dat_dir}/{direct}/queries/queries_wo_{qgroup}_{n}_vars.txt' cls.queries_variations_file = dp.ensure_file(_queries_variations_file) cls.queries_quantile_vars = cls.queries_variations_file _queries_topic_file = f'{_corpus_dat_dir}/queries_{corpus}_{qgroup}.stemmed.txt' cls.queries_topic_file = dp.ensure_file(_queries_topic_file) _fused_results_file = f'{_corpus_res_dir}/test/fusion/QL.res' # _fused_results_file = f'{_corpus_res_dir}/test/fusion/all_wo_{qgroup}_fused_QL.res' cls.fused_results_file = dp.ensure_file(_fused_results_file) # cls.output_dir = dp.ensure_dir(f'{_graphs_res_dir}/test/raw/') cls.predictions_output_dir = dp.ensure_dir(f'{_graphs_res_dir}/sim_as_pred/') cls.pkl_dir = dp.ensure_dir(f'{_graphs_dat_dir}/pkl_files/features') def _calc_features(self): """This method calculates the similarity features for all the variations with the 'query at hand' i.e. the query that being predicted, including the query itself (if it's among the variations)""" _dict = {'topic': [], 'qid': [], 'Jac_coefficient': [], f'Top_{self.top_docs_overlap}_Docs_overlap': [], f'RBO_EXT_{self.rbo_top}': [], f'RBO_FUSED_EXT_{self.rbo_top}': []} for topic in self.topics_data.queries_dict.keys(): _topic = topic.split('-')[0] q_vars = self.query_vars.get(_topic) _dict['topic'] += [topic] len(q_vars) res_dict = self.fused_data.get_res_dict_by_qid(_topic, top=self.rbo_top) topic_txt = self.topics_data.get_qid_txt(topic) topics_top_list = self.prediction_queries_res_data.get_docs_by_qid(topic, self.top_docs_overlap) # topics_top_list = self.title_res_data.get_docs_by_qid(topic, 25) topic_results_list = self.prediction_queries_res_data.get_res_dict_by_qid(topic, top=self.rbo_top) for var in q_vars: var_txt = self.queries_data.get_qid_txt(var) jc = jaccard_coefficient(topic_txt, var_txt) var_top_list = self.raw_res_data.get_docs_by_qid(var, self.top_docs_overlap) # var_top_list = self.raw_res_data.get_docs_by_qid(var, 25) docs_overlap = list_overlap(topics_top_list, var_top_list) # All RBO values are rounded to 10 decimal digits, to avoid float overflow var_results_list = self.raw_res_data.get_res_dict_by_qid(var, top=self.rbo_top) _rbo_scores_dict = rbo_dict(topic_results_list, var_results_list, p=0.95) rbo_ext_score = np.around(_rbo_scores_dict['ext'], 10) _fused_rbo_scores_dict = rbo_dict(res_dict, var_results_list, p=0.95) _rbo_fused_ext_score = np.around(_fused_rbo_scores_dict['ext'], 10) _dict['qid'] += [var] _dict['Jac_coefficient'] += [jc] _dict[f'Top_{self.top_docs_overlap}_Docs_overlap'] += [docs_overlap] _dict[f'RBO_EXT_{self.rbo_top}'] += [rbo_ext_score] _dict[f'RBO_FUSED_EXT_{self.rbo_top}'] += [_rbo_fused_ext_score] _df = pd.DataFrame.from_dict(_dict) # _df.set_index(['topic', 'qid'], inplace=True) return _df def _filter_queries(self, df): if 'qid' in df.index.names: df.reset_index(inplace=True) # Remove the topic queries _df = df.loc[df['qid'].isin(self.variations_data.queries_df['qid'])] # Filter only the relevant quantile variations _df = _df.loc[_df['qid'].isin(self.quantile_variations_data.queries_df['qid'])] return _df def _soft_max_scores(self, df): _df = self._filter_queries(df) _df = df _df.set_index(['topic', 'qid'], inplace=True) _exp_df = _df.apply(np.exp) # For debugging purposes z_e = _exp_df.groupby(['topic']).sum() softmax_df = (_exp_df.groupby(['topic', 'qid']).sum() / z_e) # _temp = softmax_df.dropna() # For debugging purposes return softmax_df def _average_scores(self, df): _df = self._filter_queries(df) # _df = df _df.set_index(['topic', 'qid'], inplace=True) # _exp_df = _df.apply(np.exp) # For debugging purposes avg_df = _df.groupby(['topic']).mean() # avg_df = (_df.groupby(['topic', 'qid']).mean()) # _temp = softmax_df.dropna() # For debugging purposes return avg_df def _max_norm_scores(self, df): # _df = self._filter_queries(df) _df = df _df.set_index(['topic', 'qid'], inplace=True) # For debugging purposes z_m = _df.groupby(['topic']).max() z_m.drop('qid', axis='columns', inplace=True) max_norm_df = (_df.groupby(['topic', 'qid']).sum() / z_m).fillna(0) # _temp = softmax_df.dropna() # For debugging purposes return max_norm_df def _sum_scores(self, df): _df = df # filter only variations different from original query # _df = self._filter_queries(df) z_n = _df.groupby(['topic']).sum() z_n.drop('qid', axis='columns', inplace=True) # All nan values will be filled with 0 norm_df = (_df.groupby(['topic', 'qid']).sum() / z_n).fillna(0) return norm_df def divide_by_size(self, df): # _df = df # filter only variations different from original query _df = self._filter_queries(df) z_n = _df.groupby(['topic']).count() z_n.drop('qid', axis='columns', inplace=True) # All nan values will be filled with 0 # norm_df = (_df.groupby(['topic', 'qid']) / z_n).fillna('!@#!@#!@#!') _df.set_index(['topic', 'qid'], inplace=True) norm_df = _df / z_n return norm_df def __load_features_df(self, _file_name): """The method will try to load the features DF from a pkl file, if it fails it will generate a new df and save it""" try: # Will try loading a DF, if fails will generate and save a new one file_to_load = dp.ensure_file(_file_name) _df = pd.read_pickle(file_to_load) except AssertionError: print(f'\nFailed to load {_file_name}') print(f'Will generate {self.pkl_dir.rsplit("/")[-1]} vars {self.queries_group}_query_features ' f'features and save') _df = self._calc_features() _df.to_pickle(_file_name) n = self.top_docs_overlap _df[f'Top_{n}_Docs_overlap'] = _df[f'Top_{n}_Docs_overlap'] / n return _df def __get_pkl_file_name(self): _file = '{}/{}_queries_{}_RBO_{}_TopDocs_{}.pkl'.format(self.pkl_dir, self.queries_group, self.corpus, self.rbo_top, self.top_docs_overlap) return _file def generate_features(self, load_from_pkl=True): """If `load_from_pkl` is True the method will try to load the features DF from a pkl file, otherwise it will generate a new df and save it""" _file = self.__get_pkl_file_name() if load_from_pkl: _df = self.__load_features_df(_file) else: _df = self._calc_features() _df.to_pickle(_file) n = self.top_docs_overlap _df[f'Top_{n}_Docs_overlap'] = _df[f'Top_{n}_Docs_overlap'] / n return self.divide_by_size(_df) # return _df # return self._soft_max_scores(_df) # return self._sum_scores(_df) # return self._average_scores(_df) # return self._max_norm_scores(_df) def save_predictions(self, df: pd.DataFrame): _df = self._filter_queries(df) _df = _df.groupby('topic').mean() _df = dp.convert_vid_to_qid(_df) _rboP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/rboP/predictions') _FrboP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/FrboP/predictions') _topDocsP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/topDocsP/predictions') _jcP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/jcP/predictions') _df[f'RBO_EXT_{self.rbo_top}'].to_csv(f'{_rboP_dir}/predictions-{self.rbo_top}', sep=' ') _df[f'RBO_FUSED_EXT_{self.rbo_top}'].to_csv(f'{_FrboP_dir}/predictions-{self.rbo_top}', sep=' ') _df[f'Top_{self.top_docs_overlap}_Docs_overlap'].to_csv(f'{_topDocsP_dir}/predictions-{self.top_docs_overlap}', sep=' ') _df['Jac_coefficient'].to_csv(f'{_jcP_dir}/predictions-{self.rbo_top}', sep=' ') def generate_predictions(self, load_from_pkl=True): _file = self.__get_pkl_file_name() if load_from_pkl: _df = self.__load_features_df(_file) else: _df = self._calc_features() _df.to_pickle(_file) self.save_predictions(_df) class RefQueryFeatureFactory(QueryFeatureFactory): """TODO: At the moment this will save for each combination a separate pickle file, should change it to a pickle file that consists of all the calculations and then filter the relevant query variations from it""" def __init__(self, corpus, queries_group, vars_quantile, kwargs): super().__init__(corpus, queries_group, vars_quantile, kwargs) self.top_docs_overlap = kwargs.get('top_docs_overlap', 10) self.rbo_top = kwargs.get('rbo_top', 100) self.corpus = corpus self.queries_group = queries_group graphs = kwargs.get('graphs', None) if graphs: n = kwargs.get('n', None) assert n, 'Missing number of vars' self.__set_graph_paths(corpus, queries_group, graphs, n) else: self.__set_paths(corpus, queries_group, vars_quantile) _raw_res_data = dp.ResultsReader(self.results_file, 'trec') if queries_group == 'title': _title_res_data = dp.ResultsReader(self.title_res_file, 'trec') self.prediction_queries_res_data = _title_res_data else: self.prediction_queries_res_data = _raw_res_data self.queries_data = dp.QueriesTextParser(self.queries_full_file, 'uqv') self.topics_data = dp.QueriesTextParser(self.queries_topic_file) # Uncomment the next lines if you want to write the basic results of the topic queries. # write_basic_results(self.prediction_queries_res_data.data_df.loc[self.topics_data.queries_df['qid']], corpus, # queries_group) # exit() # These 2 DF used for the filtering method self.variations_data = dp.QueriesTextParser(self.queries_variations_file, 'uqv') self.quantile_variations_data = dp.QueriesTextParser(self.queries_quantile_vars, 'uqv') # _var_scores_df.loc[_var_scores_df['qid'].isin(_vars_list)] self.raw_res_data = _raw_res_data self.fused_data = dp.ResultsReader(self.fused_results_file, 'trec') self.query_vars = self.queries_data.query_vars @classmethod def __set_paths(cls, corpus, qgroup, vars_quantile): """This method sets the default paths of the files and the working directories, it assumes the standard naming convention of the project""" # cls.predictor = predictor _corpus_res_dir = dp.ensure_dir(f'~/QppUqvProj/Results/{corpus}') _corpus_dat_dir = dp.ensure_dir(f'~/QppUqvProj/data/{corpus}') _results_file = f'{_corpus_res_dir}/test/raw/QL.res' cls.results_file = os.path.normpath(_results_file) dp.ensure_file(cls.results_file) _title_results_file = f'{_corpus_res_dir}/test/basic/QL.res' cls.title_res_file = os.path.normpath(_title_results_file) dp.ensure_file(cls.title_res_file) cls.queries_full_file = dp.ensure_file(f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.stemmed.txt') # The variations file is used in the filter function - it consists of all the vars w/o the query at hand _queries_variations_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_wo_{qgroup}.txt' cls.queries_variations_file = dp.ensure_file(_queries_variations_file) # The vars quantile file is used in the filter function - it consists of the relevant vars quantile if vars_quantile == 'all': _queries_quantile_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.txt' else: _queries_quantile_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_{vars_quantile}_variants.txt' cls.queries_quantile_vars = dp.ensure_file(_queries_quantile_file) _queries_topic_file = f'{_corpus_dat_dir}/queries_{corpus}_{qgroup}.stemmed.txt' cls.queries_topic_file = dp.ensure_file(_queries_topic_file) _fused_results_file = f'{_corpus_res_dir}/test/fusion/QL.res' cls.fused_results_file = dp.ensure_file(_fused_results_file) # cls.output_dir = dp.ensure_dir(f'{_corpus_res_dir}/test/raw/') _predictions_out = f'{_corpus_res_dir}/uqvPredictions/referenceLists/{qgroup}/{vars_quantile}_vars/sim_as_pred/' cls.predictions_output_dir = dp.ensure_dir(_predictions_out) cls.pkl_dir = dp.ensure_dir(f'{_corpus_res_dir}/test/ref/pkl_files/') @classmethod def __set_graph_paths(cls, corpus, qgroup, direct, n): """This method sets the default paths of the files and the working directories, it assumes the standard naming convention of the project""" # cls.predictor = predictor _corpus_res_dir = dp.ensure_dir(f'~/QppUqvProj/Results/{corpus}') _corpus_dat_dir = dp.ensure_dir(f'~/QppUqvProj/data/{corpus}') _graphs_base_dir = dp.ensure_dir(f'~/QppUqvProj/Graphs/{corpus}') _graphs_res_dir = dp.ensure_dir(f'{_graphs_base_dir}/referenceLists/{qgroup}/{direct}/{n}_vars') _graphs_dat_dir = dp.ensure_dir(f'{_graphs_base_dir}/data') cls.number_of_vars = n _results_file = f'{_corpus_res_dir}/test/raw/QL.res' cls.results_file = os.path.normpath(_results_file) dp.ensure_file(cls.results_file) _title_results_file = f'{_corpus_res_dir}/test/basic/QL.res' cls.title_res_file = os.path.normpath(_title_results_file) dp.ensure_file(cls.title_res_file) _queries_full_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.stemmed.txt' cls.queries_full_file = dp.ensure_file(_queries_full_file) # The variations file is used in the filter function - it consists of all the vars w/o the query at hand _queries_variations_file = f'{_graphs_dat_dir}/{direct}/queries/queries_wo_{qgroup}_{n}_vars.txt' cls.queries_variations_file = dp.ensure_file(_queries_variations_file) cls.queries_quantile_vars = cls.queries_variations_file _queries_topic_file = f'{_corpus_dat_dir}/queries_{corpus}_{qgroup}.stemmed.txt' cls.queries_topic_file = dp.ensure_file(_queries_topic_file) _fused_results_file = f'{_corpus_res_dir}/test/fusion/QL.res' # _fused_results_file = f'{_corpus_res_dir}/test/fusion/all_wo_{qgroup}_fused_QL.res' cls.fused_results_file = dp.ensure_file(_fused_results_file) # cls.output_dir = dp.ensure_dir(f'{_graphs_res_dir}/test/raw/') cls.predictions_output_dir = dp.ensure_dir(f'{_graphs_res_dir}/sim_as_pred/') cls.pkl_dir = dp.ensure_dir(f'{_graphs_dat_dir}/pkl_files/features') def _calc_features(self): """This method calculates the similarity features for all the variations with the 'query at hand' i.e. the query that being predicted, including the query itself (if it's among the variations)""" _dict = {'topic': [], 'qid': [], 'Jac_coefficient': [], f'Top_{self.top_docs_overlap}_Docs_overlap': [], f'RBO_EXT_{self.rbo_top}': [], f'RBO_FUSED_EXT_{self.rbo_top}': []} for topic in self.topics_data.queries_dict.keys(): _topic = topic.split('-')[0] q_vars = self.query_vars.get(_topic) _dict['topic'] += [topic] * len(q_vars) res_dict = self.fused_data.get_res_dict_by_qid(_topic, top=self.rbo_top) topic_txt = self.topics_data.get_qid_txt(topic) topics_top_list = self.prediction_queries_res_data.get_docs_by_qid(topic, self.top_docs_overlap) # topics_top_list = self.title_res_data.get_docs_by_qid(topic, 25) topic_results_list = self.prediction_queries_res_data.get_res_dict_by_qid(topic, top=self.rbo_top) for var in q_vars: var_txt = self.queries_data.get_qid_txt(var) jc = jaccard_coefficient(topic_txt, var_txt) var_top_list = self.raw_res_data.get_docs_by_qid(var, self.top_docs_overlap) # var_top_list = self.raw_res_data.get_docs_by_qid(var, 25) docs_overlap = list_overlap(topics_top_list, var_top_list) # All RBO values are rounded to 10 decimal digits, to avoid float overflow var_results_list = self.raw_res_data.get_res_dict_by_qid(var, top=self.rbo_top) _rbo_scores_dict = rbo_dict(topic_results_list, var_results_list, p=0.95) rbo_ext_score = np.around(_rbo_scores_dict['ext'], 10) _fused_rbo_scores_dict = rbo_dict(res_dict, var_results_list, p=0.95) _rbo_fused_ext_score = np.around(_fused_rbo_scores_dict['ext'], 10) _dict['qid'] += [var] _dict['Jac_coefficient'] += [jc] _dict[f'Top_{self.top_docs_overlap}_Docs_overlap'] += [docs_overlap] _dict[f'RBO_EXT_{self.rbo_top}'] += [rbo_ext_score] _dict[f'RBO_FUSED_EXT_{self.rbo_top}'] += [_rbo_fused_ext_score] _df = pd.DataFrame.from_dict(_dict) # _df.set_index(['topic', 'qid'], inplace=True) return _df def _filter_queries(self, df): if 'qid' in df.index.names: df.reset_index(inplace=True) # Remove the topic queries _df = df.loc[df['qid'].isin(self.variations_data.queries_df['qid'])] # Filter only the relevant quantile variations _df = _df.loc[_df['qid'].isin(self.quantile_variations_data.queries_df['qid'])] return _df def _soft_max_scores(self, df): _df = self._filter_queries(df) _df = df _df.set_index(['topic', 'qid'], inplace=True) _exp_df = _df.apply(np.exp) # For debugging purposes z_e = _exp_df.groupby(['topic']).sum() softmax_df = (_exp_df.groupby(['topic', 'qid']).sum() / z_e) # _temp = softmax_df.dropna() # For debugging purposes return softmax_df def _average_scores(self, df): _df = self._filter_queries(df) # _df = df _df.set_index(['topic', 'qid'], inplace=True) # _exp_df = _df.apply(np.exp) # For debugging purposes avg_df = _df.groupby(['topic']).mean() # avg_df = (_df.groupby(['topic', 'qid']).mean()) # _temp = softmax_df.dropna() # For debugging purposes return avg_df def _max_norm_scores(self, df): # _df = self._filter_queries(df) _df = df _df.set_index(['topic', 'qid'], inplace=True) # For debugging purposes z_m = _df.groupby(['topic']).max() z_m.drop('qid', axis='columns', inplace=True) max_norm_df = (_df.groupby(['topic', 'qid']).sum() / z_m).fillna(0) # _temp = softmax_df.dropna() # For debugging purposes return max_norm_df def _sum_scores(self, df): _df = df # filter only variations different from original query # _df = self._filter_queries(df) z_n = _df.groupby(['topic']).sum() z_n.drop('qid', axis='columns', inplace=True) # All nan values will be filled with 0 norm_df = (_df.groupby(['topic', 'qid']).sum() / z_n).fillna(0) return norm_df def divide_by_size(self, df): # _df = df # filter only variations different from original query _df = self._filter_queries(df) z_n = _df.groupby(['topic']).count() z_n.drop('qid', axis='columns', inplace=True) # All nan values will be filled with 0 # norm_df = (_df.groupby(['topic', 'qid']) / z_n).fillna('!@#!@#!@#!') _df.set_index(['topic', 'qid'], inplace=True) norm_df = _df / z_n return norm_df def __load_features_df(self, _file_name): """The method will try to load the features DF from a pkl file, if it fails it will generate a new df and save it""" try: # Will try loading a DF, if fails will generate and save a new one file_to_load = dp.ensure_file(_file_name) _df = pd.read_pickle(file_to_load) except AssertionError: print(f'\nFailed to load {_file_name}') print(f'Will generate {self.pkl_dir.rsplit("/")[-1]} vars {self.queries_group}_query_features ' f'features and save') _df = self._calc_features() _df.to_pickle(_file_name) n = self.top_docs_overlap _df[f'Top_{n}_Docs_overlap'] = _df[f'Top_{n}_Docs_overlap'] / n return _df def __get_pkl_file_name(self): _file = '{}/{}_queries_{}_RBO_{}_TopDocs_{}.pkl'.format(self.pkl_dir, self.queries_group, self.corpus, self.rbo_top, self.top_docs_overlap) return _file def generate_features(self, load_from_pkl=True): """If `load_from_pkl` is True the method will try to load the features DF from a pkl file, otherwise it will generate a new df and save it""" _file = self.__get_pkl_file_name() if load_from_pkl: _df = self.__load_features_df(_file) else: _df = self._calc_features() _df.to_pickle(_file) n = self.top_docs_overlap _df[f'Top_{n}_Docs_overlap'] = _df[f'Top_{n}_Docs_overlap'] / n return self.divide_by_size(_df) # return _df # return self._soft_max_scores(_df) # return self._sum_scores(_df) # return self._average_scores(_df) # return self._max_norm_scores(_df) def save_predictions(self, df: pd.DataFrame): _df = self._filter_queries(df) _df = _df.groupby('topic').mean() _df = dp.convert_vid_to_qid(_df) _rboP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/rboP/predictions') _FrboP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/FrboP/predictions') _topDocsP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/topDocsP/predictions') _jcP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/jcP/predictions') _df[f'RBO_EXT_{self.rbo_top}'].to_csv(f'{_rboP_dir}/predictions-{self.rbo_top}', sep=' ') _df[f'RBO_FUSED_EXT_{self.rbo_top}'].to_csv(f'{_FrboP_dir}/predictions-{self.rbo_top}', sep=' ') _df[f'Top_{self.top_docs_overlap}_Docs_overlap'].to_csv(f'{_topDocsP_dir}/predictions-{self.top_docs_overlap}', sep=' ') _df['Jac_coefficient'].to_csv(f'{_jcP_dir}/predictions-{self.rbo_top}', sep=' ') def generate_predictions(self, load_from_pkl=True): _file = self.__get_pkl_file_name() if load_from_pkl: _df = self.__load_features_df(_file) else: _df = self._calc_features() _df.to_pickle(_file) self.save_predictions(_df) def features_loader(file_to_load, corpus): if file_to_load is None: file = dp.ensure_file('features_{}_uqv.JSON'.format(corpus)) else: file = dp.ensure_file(file_to_load) features_df = pd.read_json(file, dtype={'topic': str, 'qid': str}) features_df.reset_index(drop=True, inplace=True) features_df.set_index(['topic', 'qid'], inplace=True) features_df.rename(index=lambda x: x.split('-')[0], level=0, inplace=True) features_df.sort_values(['topic', 'qid'], axis=0, inplace=True) return features_df def write_basic_results(df: pd.DataFrame, corpus, qgroup): """The function is used to save basic predictions of a given queries set""" _df = dp.convert_vid_to_qid(df) _df.insert(loc=0, column='trec_Q0', value='Q0') _df.insert(loc=4, column='trec_indri', value='indri') _file_path = f'~/QppUqvProj/Results/{corpus}/test/ref/QL_{qgroup}.res' # dp.ensure_dir(os.path.normpath(os.path.expanduser(_file_path))) _df.to_csv(_file_path, sep=" ", header=False, index=True) def run_predictions_process(n, corpus, queries_group, quantile): sim_ref_pred = RefQueryFeatureFactory(corpus, queries_group, quantile, rbo_top=n, top_docs_overlap=n) sim_ref_pred.generate_predictions() return sim_ref_pred def run_features_process(n, corpus, queries_group, quantile): sim_ref_pred = RefQueryFeatureFactory(corpus, queries_group, quantile, rbo_top=n, top_docs_overlap=n) df = sim_ref_pred.generate_features() return df.drop('Jac_coefficient', axis=1) def load_full_features_df(**kwargs): """ :param kwargs: corpus, queries_group, quantile or features_factory_obj: QueryFeatureFactory() object :return: pd.DataFrame that contains all the features values """ corpus = kwargs.get('corpus', None) queries_group = kwargs.get('queries_group', None) quantile = kwargs.get('quantile', None) features_factory_obj = kwargs.get('features_factory_obj', None) if features_factory_obj: features_obj = features_factory_obj corpus = features_obj.corpus queries_group = features_obj.queries_group else: assert corpus and queries_group and quantile, f"Can't create a factory object from Corpus={corpus}, " \ f"Queries group={queries_group}, Variations Quantile={quantile}" features_obj = RefQueryFeatureFactory(corpus, queries_group, quantile) pkl_dir = dp.ensure_dir(f'~/QppUqvProj/Results/{corpus}/test/ref/pkl_files/') _list = [] last_df = pd.DataFrame() for n in NUMBER_OF_DOCS: _file = f'{pkl_dir}/{queries_group}_queries_{corpus}_RBO_{n}_TopDocs_{n}.pkl' try: dp.ensure_file(_file) _df = pd.read_pickle(_file).set_index(['topic', 'qid']) _df[f'Top_{n}_Docs_overlap'] = _df[f'Top_{n}_Docs_overlap'] / n _list.append(_df.drop('Jac_coefficient', axis=1)) last_df = _df['Jac_coefficient'] except AssertionError: print(f'!! Warning !! The file {_file} is missing') df = pd.concat(_list + [last_df], axis=1) return features_obj.divide_by_size(df) def main(args): corpus = args.corpus generate = args.generate predict = args.predict queries_group = args.group file_to_load = args.load quantile = args.quantile graphs = args.graphs number_of_vars = args.vars # Debugging # corpus = 'ClueWeb12B' # corpus = 'ROBUST' # print('\n------+++^+++------ Debugging !! ------+++^+++------\n') # queries_group = 'title' # quantile = 'all' # testing_feat = QueryFeatureFactory('ROBUST', 'title', 'all') # norm_features_df = testing_feat.generate_features() # norm_features_df.reset_index().to_json('query_features_{}_uqv.JSON'.format(corpus)) # return cores = mp.cpu_count() - 1 if generate: n = NUMBER_OF_DOCS[0] sim_ref_pred = RefQueryFeatureFactory(corpus, queries_group, quantile, rbo_top=n, top_docs_overlap=n) df = sim_ref_pred.generate_features() with mp.Pool(processes=cores) as pool: norm_features_list = pool.map( partial(run_features_process, corpus=corpus, queries_group=queries_group, quantile=quantile), NUMBER_OF_DOCS[1:]) norm_features_df = pd.concat(norm_features_list + [df], axis=1) _path = f'~/QppUqvProj/Results/{corpus}/test/ref' _path = dp.ensure_dir(_path) norm_features_df.reset_index().to_json( f'{_path}/{queries_group}_query_{quantile}_variations_features_{corpus}_uqv.JSON') elif predict: with mp.Pool(processes=cores) as pool: sim_ref_pred = pool.map( partial(run_predictions_process, corpus=corpus, queries_group=queries_group, quantile=quantile), NUMBER_OF_DOCS) elif graphs: assert number_of_vars, 'Missing number of variations' testing_feat = RefQueryFeatureFactory(corpus, queries_group, quantile, graphs=graphs) norm_features_df = testing_feat.generate_features() _path = f'~/QppUqvProj/Graphs/{corpus}/data/ref/' _path = dp.ensure_dir(_path) norm_features_df.reset_index().to_json( f'{_path}/{queries_group}_query_{quantile}_variations_features_{corpus}_uqv.JSON') elif file_to_load: features_df = features_loader(file_to_load, corpus) print(features_df) else: _path = f'~/QppUqvProj/Results/{corpus}/test/ref' _path = dp.ensure_dir(_path) df = load_full_features_df(corpus=corpus, queries_group=queries_group, quantile=quantile) df.reset_index().to_json(f'{_path}/{queries_group}_query_{quantile}_variations_features_{corpus}_uqv.JSON') if __name__ == '__main__': args = parser.parse_args() overall_timer = Timer('Total runtime') main(args) overall_timer.stop()
from django import template from ..conf import settings from ..forms import SubscriberForm register = template.Library() @register.inclusion_tag('easy_subscription/subscription_form.html') def subscription_form(): return { 'title': settings.EASY_SUBSCRIPTION_FORM_TITLE, 'subtitle': settings.EASY_SUBSCRIPTION_FORM_SUBTITLE, 'footer_message': settings.EASY_SUBSCRIPTION_FORM_FOTTER_MESSAGE, 'form': SubscriberForm(), 'form_border_color': settings.EASY_SUBSCRIPTION_FORM_BORDER_COLOR, 'form_button_color': settings.EASY_SUBSCRIPTION_FORM_BUTTON_COLOR, }
import collections import pathlib from typing import DefaultDict, Iterator from unittest import mock import pytest from pysen import mypy from pysen.mypy import _get_differences_from_base from pysen.process_utils import add_python_executable from pysen.reporter import Reporter from pysen.runner_options import PathContext, RunOptions from pysen.setting import SettingFile BASE_DIR = pathlib.Path(__file__).resolve().parent @pytest.fixture def reporter() -> Iterator[Reporter]: r = Reporter("") with r: yield r def test__get_differences_from_base() -> None: A = {"A": "a", "B": "b", "C": "c", "X": ["1", "2", "3"], "Y": ["a", "b"]} B = {"A": "a", "C": "c2", "D": "d", "X": ["1", "2", "3"], "Y": ["a", "c"]} assert _get_differences_from_base(A, B) == {"B": "b", "C": "c", "Y": ["a", "b"]} assert _get_differences_from_base(B, A) == {"C": "c2", "D": "d", "Y": ["a", "c"]} def test_mypy_setting() -> None: s = mypy.MypySetting.very_strict() assert s == mypy.MypySetting.very_strict() assert s != mypy.MypySetting.strict() section, settings = s.export(BASE_DIR) assert section == ["mypy"] assert settings["check_untyped_defs"] assert "target_module" not in settings s.check_untyped_defs = False section, settings = s.export(BASE_DIR) assert not settings["check_untyped_defs"] section, settings = s.export(BASE_DIR, target_module="hoge.fuga.") assert section == ["mypy-hoge.fuga."] s.mypy_path = [ "/opt/pysen/stubs", "stubs2", pathlib.Path("/usr/pysen/stubs3"), pathlib.Path("stub4"), ] section, settings = s.export(pathlib.Path("/opt/pysen/package/python")) assert settings["mypy_path"] == [ "/opt/pysen/stubs", "stubs2", "/usr/pysen/stubs3", "stub4", ] # This option is set by pyproject loader s._pysen_convert_abspath = True section, settings = s.export(pathlib.Path("/opt/pysen/package/python")) assert settings["mypy_path"] == [ "../../stubs", "stubs2", "../../../../usr/pysen/stubs3", "stub4", ] def test_settings() -> None: m = mypy.Mypy( setting=mypy.MypySetting.very_strict(), module_settings={"hoge.fuga": mypy.MypySetting.strict()}, ) assert m.setting == mypy.MypySetting.very_strict() assert m.module_settings == {"hoge.fuga": mypy.MypySetting.strict()} m = mypy.Mypy() assert m.setting == mypy.MypySetting() assert m.module_settings == {} def test_commands(reporter: Reporter) -> None: m = mypy.Mypy( mypy_targets=[mypy.MypyTarget([pathlib.Path("/bar"), pathlib.Path("baz")])] ) expected_cmds = add_python_executable( "mypy", "--show-absolute-path", "--no-color-output", "--show-column-numbers", "--no-error-summary", "--config-file", "/setting/setup.cfg", "/bar", "/foo/baz", ) cmd = m.create_command( "lint", PathContext(pathlib.Path("/foo"), pathlib.Path("/setting")), RunOptions(), ) with mock.patch("os.chdir", return_value=None): with mock.patch("pysen.process_utils.run", return_value=(0, "", "")) as patch: assert cmd(reporter=reporter) == 0 patch.assert_called_with(expected_cmds, reporter) def test_export_settings() -> None: m = mypy.Mypy( setting=mypy.MypySetting( mypy_path=["hoge"], plugins=[mypy.MypyPlugin(script=BASE_DIR / pathlib.Path("foo/bar"))], disallow_any_decorated=False, ignore_missing_imports=False, warn_redundant_casts=True, follow_imports=mypy.MypyFollowImports.ERROR, _pysen_convert_abspath=True, ), module_settings={ "foo.": mypy.MypySetting(disallow_any_decorated=True), # duplicated "bar.baz": mypy.MypySetting( ignore_missing_imports=True, # duplicated disallow_any_decorated=False, # same (not emitted in exported settings) disallow_any_unimported=False, # new ), }, ) files: DefaultDict[str, SettingFile] = collections.defaultdict(SettingFile) m.export_settings(PathContext(BASE_DIR, BASE_DIR), files) assert files.keys() == {"setup.cfg"} setting_file = files["setup.cfg"] expected = { "mypy": { "disallow_any_decorated": False, "follow_imports": "error", "ignore_missing_imports": False, "mypy_path": ["hoge"], "warn_redundant_casts": True, "plugins": ["foo/bar"], }, "mypy-foo.": {"disallow_any_decorated": True}, "mypy-bar.baz": { "disallow_any_unimported": False, "ignore_missing_imports": True, }, } assert setting_file.as_dict() == expected
#!/usr/bin/env python import os, re def getFileName(allLogsName='AllCode'): # Function finds the lowest numbered filename in the form AllLogs(n) # that doesn't already exist and assigns it as the new filename filepath = os.path.join('.', allLogsName) for n in range(1,100): newFile = filepath + '{0}.txt'.format(n) if os.path.exists(newFile): pass else: return newFile def textCombiner(rootDir='.', filetype=".sas", outname="AllCode.txt"): '''Walks through directory tree starting at [rootDir] opening any text files with extension [filetype] default ".sas", and writes the combined files to a text doc [outname] in the rootDir, default "AllCode.txt" As the text files are read they are scanned for any %INCLUDE statements that refer to code files found outside of the directory tree , these are then appended to the compiled code file (dynamically generated filepaths, e.g. those containing macro variables will not be found, but will be listed at the end, along with any files that could not be found.)''' outpath = os.path.join(rootDir, outname) extras = [] #initiate list to contain files paths taken from %include statements #creates and opens output file. with open(outpath, "w") as outfile: #walks down directory tree from rootDir for dirName, subdirList, fileList in os.walk(rootDir): #for each file found for fname in fileList: #create file path from directory and filename filepath = "\\".join([dirName, fname]) #filepath = os.path.join(dirName, fname) #check file is of type specified by parameter [filetype] if fname.endswith(filetype): #compile regex to find %include statements inc = re.compile(r'%include\s+[\'\"]([^;]+)[\'\"];', re.IGNORECASE) #open code file with open(filepath, "r") as f: #write code file details to output outfile.write('\nSTART FILE\n\n') theDir = "DIRECTORY --> {}\n".format(dirName.upper()) theFile = "FILE -------> {}".format(fname.upper()) outfile.write(theDir) outfile.write(theFile) outfile.write('\n\n') #print(f.read()) for line in f.readlines(): outfile.write(line) #scan file for %include statements and append any to the extras matches = re.findall(inc, line) if matches: for match in matches: if match not in extras: extras.append(match) else: pass else: pass outfile.write('\n\nEND OF SAS FILE\n') outfile.write('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n') #outfile.write('\n\n\nSTART FILE\n\n') else: pass macropath = [] #list of filepaths from %include statements that contain macro variables notfound = [] #list of filepaths from %include statements that could not be found #if any %include statements found if extras: outfile.write("\n\nTHE FOLLOWING CODE FILES WERE FOUND IN %INCLUDE STATEMENTS AND REFER \nTO FILES OUTSIDE OF THE DIRECTORY TREE DEFINED BY THE ROOT DIRECTORY\n\n") for e in extras: #if filepath already included within the directory tree ignore it here if e.startswith(rootDir): print("Already included: {}".format(e)) pass #if filepath includes macro statement add it to the macropath list elif '&' in e: print("MACRO in: {}".format(e)) macropath.append(e) #attempt to open file and append details to the output file else: print("LEGIT path: {}".format(e)) try: with open(e, "r") as ef: outfile.write('\n\n\nSTART FILE\n\n') theDir = "DIRECTORY --> {}\n".format("\\".join(e.split('\\')[:-1]).upper()) theFile = "FILE -------> {}\n".format(e.split('\\')[-1].upper()) outfile.write(theDir) outfile.write(theFile) outfile.write('\n\n') for line in ef.readlines(): outfile.write(line) outfile.write('\n\nEND OF SAS FILE\n') outfile.write('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n') #outfile.write('\n\n\nSTART FILE\n\n') except FileNotFoundError: print("File not found: {}".format(e)) notfound.append(e) except error: print("Unknown error with file: {}".format(e)) if macropath: outfile.write("The following file paths include dynamically generated file paths with macro variables\nand it was not possible to add them to the compiled code file:\n\n") for m in macropath: outfile.write('\n\t') outfile.write(m) else: pass if notfound: outfile.write("\n\nThe following files were not found. Check that the file has not been moved \nand that the network drive is currently available:\n") for nf in notfound: outfile.write('\n\t') outfile.write(nf) else: pass print('Done') os.popen(outpath) return outpath #if __name__ == "__main__":
""" prefix.py Created by Diego Garcia del Rio on 2015-03-12. Copyright (c) 2015 Alcatel-Lucent. All rights reserved. Based on work by Thomas Morin on mac.py Copyright (c) 2014-2017 Orange. All rights reserved. Copyright (c) 2014-2017 Exa Networks. All rights reserved. License: 3-clause BSD. (See the COPYRIGHT file) """ from exabgp.protocol.ip import IP from exabgp.util import character from exabgp.util import ordinal from exabgp.util import concat_bytes from exabgp.bgp.message.update.nlri.qualifier import RouteDistinguisher from exabgp.bgp.message.update.nlri.qualifier import Labels from exabgp.bgp.message.update.nlri.qualifier import ESI from exabgp.bgp.message.update.nlri.qualifier import EthernetTag from exabgp.bgp.message.update.nlri import NLRI from exabgp.bgp.message.update.nlri.evpn.nlri import EVPN from exabgp.bgp.message.notification import Notify # ------------ EVPN Prefix Advertisement NLRI ------------ # As described here: # https://tools.ietf.org/html/draft-ietf-bess-evpn-prefix-advertisement-01 # +---------------------------------------+ # \| RD (8 octets) \| # +---------------------------------------+ # \|Ethernet Segment Identifier (10 octets)\| # +---------------------------------------+ # \| Ethernet Tag ID (4 octets) \| # +---------------------------------------+ # \| IP Prefix Length (1 octet) \| # +---------------------------------------+ # \| IP Prefix (4 or 16 octets) \| # +---------------------------------------+ # \| GW IP Address (4 or 16 octets) \| # +---------------------------------------+ # \| MPLS Label (3 octets) \| # +---------------------------------------+ # total NLRI length is 34 bytes for IPv4 or 58 bytes for IPv6 # ======================================================================= Prefix # https://tools.ietf.org/html/draft-rabadan-l2vpn-evpn-prefix-advertisement-03 @EVPN.register class Prefix (EVPN): CODE = 5 NAME = "IP Prefix Advertisement" SHORT_NAME = "PrfxAdv" def __init__(self, rd, esi, etag, label, ip, iplen, gwip, packed=None,nexthop=None,action=None,addpath=None): ''' rd: a RouteDistinguisher esi: an EthernetSegmentIdentifier etag: an EthernetTag mac: a MAC label: a LabelStackEntry ip: an IP address (dotted quad string notation) iplen: prefixlength for ip (defaults to 32) gwip: an IP address (dotted quad string notation) ''' EVPN.__init__(self,action,addpath) self.nexthop = nexthop self.rd = rd self.esi = esi self.etag = etag self.ip = ip self.iplen = iplen self.gwip = gwip self.label = label self.label = label if label else Labels.NOLABEL self._pack(packed) def __eq__ (self, other): return \ NLRI.__eq__(self,other) and \ self.CODE == other.CODE and \ self.rd == other.rd and \ self.etag == other.etag and \ self.ip == other.ip and \ self.iplen == other.iplen # esi, label and gwip must not be compared def __ne__ (self, other): return not self.__eq__(other) def __str__ (self): return "%s:%s:%s:%s:%s%s:%s:%s" % ( self._prefix(), self.rd._str(), self.esi, self.etag, self.ip, "/%d" % self.iplen, self.gwip, self.label ) def __hash__ (self): # esi, and label, gwip must not be part of the hash return hash("%s:%s:%s:%s" % (self.rd,self.etag,self.ip,self.iplen)) def _pack (self, packed=None): if self._packed: return self._packed if packed: self._packed = packed return packed self._packed = concat_bytes( self.rd.pack(), self.esi.pack(), self.etag.pack(), character(self.iplen), self.ip.pack(), self.gwip.pack(), self.label.pack(), ) return self._packed @classmethod def unpack (cls, exdata): data = exdata # Get the data length to understand if addresses are IPv4 or IPv6 datalen = len(data) rd = RouteDistinguisher.unpack(data[:8]) data = data[8:] esi = ESI.unpack(data[:10]) data = data[10:] etag = EthernetTag.unpack(data[:4]) data = data[4:] iplen = ordinal(data[0]) data = data[1:] if datalen == (26 + 8): # Using IPv4 addresses ip = IP.unpack(data[:4]) data = data[4:] gwip = IP.unpack(data[:4]) data = data[4:] elif datalen == (26 + 32): # Using IPv6 addresses ip = IP.unpack(data[:16]) data = data[16:] gwip = IP.unpack(data[:16]) data = data[16:] else: raise Notify(3,5,"Data field length is given as %d, but EVPN route currently support only IPv4 or IPv6(34 or 58)" % datalen) label = Labels.unpack(data[:3]) return cls(rd,esi,etag,label,ip,iplen,gwip,exdata) def json (self, compact=None): content = ' "code": %d, ' % self.CODE content += '"parsed": true, ' content += '"raw": "%s", ' % self._raw() content += '"name": "%s", ' % self.NAME content += '%s, ' % self.rd.json() content += '%s, ' % self.esi.json() content += '%s, ' % self.etag.json() content += '%s, ' % self.label.json() content += '"ip": "%s", ' % str(self.ip) content += '"iplen": %d, ' % self.iplen content += '"gateway": "%s" ' % str(self.gwip) return '{%s}' % content
from django.conf.urls.defaults import * urlpatterns = patterns('', (r'example/', 'simple.localsite.views.example', {}), )
class TestDataBridge: async def test_version(self, client_databridge): resp = await client_databridge.get('api') assert resp.status == 200 data = await resp.json() assert 'api_version' in data async def test_ping(self, client_databridge): resp = await client_databridge.get('api/ping') assert resp.status == 200 data = await resp.json() assert data['text'] == 'pong'
from time import sleep from kafka import KafkaProducer from alpha_vantage.timeseries import TimeSeries import random import json import sys def dataGrabber(): try: ticker = 'GOOGL' lines = open('key.txt').read().splitlines() keys = random.choice(lines) time = TimeSeries(key=keys, output_format='json') data, metadata = time.get_intraday(symbol=ticker, interval='1min', outputsize='full') return data except Exception: print("Invalid Key!") sys.exit(1) def messagePublisher(producerKey, key, data_key): keyBytes = bytes(key, encoding='utf-8') producerKey.send("GoogleStock", json.dumps(data[key]).encode('utf-8'), keyBytes) print("Message Published!") def kafkaProducerConnect(): try: producer = KafkaProducer(bootstrap_servers=['localhost:9092']) return producer except Exception: print("Connection Refused!") if __name__ == "__main__": data = dataGrabber() if len(data) > 0: kafkaProducer = kafkaProducerConnect() for key in sorted(data): messagePublisher(kafkaProducer, key, data[key]) sleep(3)
# # Copyright (c) 2019 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # ############################################################################ # # This file contains common collectd plugin constructs and utilities # ############################################################################ import collectd import json import uuid import httplib2 import socket import os from oslo_concurrency import processutils from fm_api import constants as fm_constants import tsconfig.tsconfig as tsc # http request constants PLUGIN_TIMEOUT = 10 PLUGIN_HTTP_HEADERS = {'Accept': 'application/json', 'Connection': 'close'} MIN_AUDITS_B4_FIRST_QUERY = 2 class PluginObject(object): def __init__(self, plugin, url): # static variables set in init_func self.plugin = plugin # the name of this plugin self.hostname = '' # the name of this host self.port = 0 # the port number for this plugin self.base_eid = '' # the base entity id host=<hostname> self.controller = False # set true if node is controller # dynamic gate variables self.virtual = False # set to True if host is virtual self.config_complete = False # set to True once config is complete self.config_done = False # set true if config_func completed ok self.init_done = False # set true if init_func completed ok self.fm_connectivity = False # set true when fm connectivity ok self.alarm_type = fm_constants.FM_ALARM_TYPE_7 # OPERATIONAL self.cause = fm_constants.ALARM_PROBABLE_CAUSE_50 # THRESHOLD CROSS self.suppression = True self.service_affecting = False # dynamic variables set in read_func self.usage = float(0) # last usage value recorded as float self.value = float(0) # last read value self.audits = 0 # number of audit since init self.enabled = False # tracks a plugin's enabled state self.alarmed = False # tracks the current alarmed state self.mode = '' # mode specific to plugin # http and json specific variables self.url = url # target url self.jresp = None # used to store the json response self.resp = '' self.objects = [] # list of plugin specific objects self.cmd = '' # plugin specific command string # Log controls self.config_logged = False # used to log once the plugin config self.error_logged = False # used to prevent log flooding self.log_throttle_count = 0 # used to count throttle logs self.INIT_LOG_THROTTLE = 10 # the init log throttle threshold self.phase = 0 # tracks current phase; init, sampling collectd.debug("%s Common PluginObject constructor [%s]" % (plugin, url)) ########################################################################### # # Name : init_ready # # Description: Test for init ready condition # # Parameters : plugin name # # Returns : False if initial config complete is not done # True if initial config complete is done # ########################################################################### def init_ready(self): """Test for system init ready state""" if os.path.exists(tsc.INITIAL_CONFIG_COMPLETE_FLAG) is False: self.log_throttle_count += 1 if self.log_throttle_count > self.INIT_LOG_THROTTLE: collectd.info("%s initialization needs retry" % self.plugin) self.log_throttle_count = 0 return False else: self.log_throttle_count = 0 return True ########################################################################### # # Name : gethostname # # Description: load the hostname # # Parameters : plugin name # # Returns : Success - hostname # Failure - None # # Updates : obj.hostname # ########################################################################### def gethostname(self): """Fetch the hostname""" # get current hostname try: hostname = socket.gethostname() if hostname: return hostname except: collectd.error("%s failed to get hostname" % self.plugin) return None ########################################################################### # # Name : is_virtual # # Description: Execute facter command with output filter on 'is_virtual' # # Parameters : None # # Returns : True if current host is virtual. # False if current host is NOT virtual # ########################################################################### def is_virtual(self): """Check for virtual host""" try: cmd = '/usr/bin/facter is_virtual' res, err = processutils.execute(cmd, shell=True) if err: return False elif res: # remove the trailing '\n' with strip() if res.strip() == 'true': collectd.info("%s %s is virtual" % (self.plugin, self.hostname)) return True except Exception as ex: collectd.info("%s failed to execute '/usr/bin/facter' ; %s" % self.plugin, ex) return False ########################################################################### # # Name : check_for_fit # # Description: load FIT data if it is present # # Fit Format : unit data -> 0 89 # - instance 0 value 89 # # Parameters : plugin name # object to update with fit # name in fit file # unit # # Returns : Did a failure occur ? # False = no # True = yes # # Updates : self.usage with FIT value if FIT conditions are present # and apply # ########################################################################### def check_for_fit(self, name, unit): """Load FIT data into usage if it exists""" fit_file = '/var/run/fit/' + name + '_data' if os.path.exists(fit_file): valid = False with open(fit_file, 'r') as infile: for line in infile: try: inst, val = line.split(' ') if int(unit) == int(inst): self.usage = float(val) valid = True except: try: val = float(line) self.usage = float(val) valid = True except: collectd.error("%s bad FIT data; ignoring" % self.plugin) if valid is True: collectd.info("%s %.2f usage (unit %d) (FIT)" % (self.plugin, unit, self.usage)) return False return True ########################################################################### # # Name : make_http_request # # Description: Issue an http request to the specified URL. # Load and return the response # Handling execution errors # # Parameters : self as current context. # # Optional: # # url - override the default self url with http address to # issue the get request to. # to - timeout override # hdrs - override use of the default header list # # Updates : self.jresp with the json string response from the request. # # Returns : Error indication (True/False) # True on error # False on success # ########################################################################### def make_http_request(self, url=None, to=None, hdrs=None): """Make a blocking HTTP Request and return result""" try: # handle timeout override if to is None: to = PLUGIN_TIMEOUT # handle url override if url is None: url = self.url # handle header override if hdrs is None: hdrs = PLUGIN_HTTP_HEADERS http = httplib2.Http(timeout=to) resp = http.request(url, headers=hdrs) except Exception as ex: collectd.info("%s http request failure (%s)" % (self.plugin, str(ex))) return True try: collectd.debug("%s Resp: %s" % (self.plugin, resp[1])) self.resp = resp[1] self.jresp = json.loads(resp[1]) except Exception as ex: collectd.info("%s http request parse failure (%s) (%s)" % (self.plugin, str(ex), resp)) return True return False def is_uuid_like(val): """Returns validation of a value as a UUID For our purposes, a UUID is a canonical form string: aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa """ try: return str(uuid.UUID(val)) == val except (TypeError, ValueError, AttributeError): return False def get_severity_str(severity): """get string that represents the specified severity""" if severity == fm_constants.FM_ALARM_SEVERITY_CLEAR: return "clear" elif severity == fm_constants.FM_ALARM_SEVERITY_CRITICAL: return "critical" elif severity == fm_constants.FM_ALARM_SEVERITY_MAJOR: return "major" elif severity == fm_constants.FM_ALARM_SEVERITY_MINOR: return "minor" else: return "unknown"
# Copyright 2016 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style # license that can be found in the LICENSE file or at # https://developers.google.com/open-source/licenses/bsd """Tests for the Monorail home page.""" from __future__ import print_function from __future__ import division from __future__ import absolute_import import unittest from third_party import ezt import settings from framework import permissions from proto import site_pb2 from services import service_manager from sitewide import hostinghome from sitewide import projectsearch from testing import fake from testing import testing_helpers class MockProjectSearchPipeline(object): def __init__(self, _mr, services): self.visible_results = services.mock_visible_results self.pagination = None def SearchForIDs(self): pass def GetProjectsAndPaginate(self, cnxn, list_page_url): pass class HostingHomeTest(unittest.TestCase): def setUp(self): self.services = service_manager.Services( project=fake.ProjectService(), project_star=fake.ProjectStarService()) self.services.mock_visible_results = [] self.project_a = self.services.project.TestAddProject('a', project_id=1) self.project_b = self.services.project.TestAddProject('b', project_id=2) self.servlet = hostinghome.HostingHome('req', 'res', services=self.services) self.mr = testing_helpers.MakeMonorailRequest(user_info={'user_id': 111}) self.orig_pipeline_class = projectsearch.ProjectSearchPipeline projectsearch.ProjectSearchPipeline = MockProjectSearchPipeline def tearDown(self): projectsearch.ProjectSearchPipeline = self.orig_pipeline_class def testSearch_ZeroResults(self): self.services.mock_visible_results = [] page_data = self.servlet.GatherPageData(self.mr) self.assertEqual([], page_data['projects']) def testSearch_NonzeroResults(self): self.services.mock_visible_results = [self.project_a, self.project_b] page_data = self.servlet.GatherPageData(self.mr) self.assertEqual(['a', 'b'], [pv.project_name for pv in page_data['projects']]) def testStarCounts(self): """Test the display of star counts on each displayed project.""" self.services.mock_visible_results = [self.project_a, self.project_b] # We go straight to the services layer because this is a test set up # rather than an actual user request. self.services.project_star.SetStar('fake cnxn', 1, 111, True) self.services.project_star.SetStar('fake cnxn', 1, 222, True) page_data = self.servlet.GatherPageData(self.mr) project_view_a, project_view_b = page_data['projects'] self.assertEqual(2, project_view_a.num_stars) self.assertEqual(0, project_view_b.num_stars) def testStarredProjects(self): self.services.mock_visible_results = [self.project_a, self.project_b] self.services.project_star.SetStar('fake cnxn', 1, 111, True) page_data = self.servlet.GatherPageData(self.mr) project_view_a, project_view_b = page_data['projects'] self.assertTrue(project_view_a.starred) self.assertFalse(project_view_b.starred) def testGatherPageData(self): mr = testing_helpers.MakeMonorailRequest() page_data = self.servlet.GatherPageData(mr) self.assertEqual(settings.learn_more_link, page_data['learn_more_link']) def testGatherPageData_CanCreateProject(self): mr = testing_helpers.MakeMonorailRequest() mr.perms = permissions.PermissionSet([permissions.CREATE_PROJECT]) page_data = self.servlet.GatherPageData(mr) self.assertEqual( ezt.boolean(settings.project_creation_restriction == site_pb2.UserTypeRestriction.ANYONE), page_data['can_create_project']) mr.perms = permissions.PermissionSet([]) page_data = self.servlet.GatherPageData(mr) self.assertEqual(ezt.boolean(False), page_data['can_create_project'])
#!/usr/bin/env python # -- coding: utf-8 -- import web import time from bson.objectid import ObjectId from config import setting import helper db = setting.db_web url = ('/report/voice') # - 用户反馈－－－－－－－－－－－ class handler: #class PosReport: def GET(self): if helper.logged(helper.PRIV_USER,'REPORT_VOICE'): render = helper.create_render() #user_data=web.input(start_date='', shop='__ALL__', ret_type='table') # 显示最近30天的 start_date = helper.time_str(time.time()-36002430, format=1) # 起至时间 begin_date = '%s 00:00:00' % start_date #end_date = '%s 23:59:59' % start_date #print begin_date, end_date # db_voice = db.customer_voice.find({'time' : {'$gt' : begin_date}},{'_id':0}).sort([('_id',-1)]) return render.report_voice(helper.get_session_uname(), helper.get_privilege_name(), db_voice) else: raise web.seeother('/')
from rezgui.qt import QtGui from rezgui.widgets.BrowsePackageWidget import BrowsePackageWidget from rezgui.widgets.ContextSettingsWidget import ContextSettingsWidget from rezgui.mixins.ContextViewMixin import ContextViewMixin from rezgui.util import get_icon class BrowsePackagePane(QtGui.QTabWidget, ContextViewMixin): """A widget for browsing rez packages. Unlike `BrowsePackageWidget`, this class has its own settings tab, so that packages path can be changed. In contrast, `BrowsePackageWidget` does not, because it is intended to allow browsing of packages within an existing context. """ def __init__(self, context_model=None, parent=None): super(BrowsePackagePane, self).__init__(parent) ContextViewMixin.__init__(self, context_model) self.browse = BrowsePackageWidget(self.context_model) self.settings = ContextSettingsWidget(self.context_model, attributes=("packages_path",)) icon = get_icon("package", as_qicon=True) self.addTab(self.browse, icon, "packages") icon = get_icon("cog", as_qicon=True) self.addTab(self.settings, icon, "settings") # Copyright 2013-2016 Allan Johns. # # This library is free software: you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation, either # version 3 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this library. If not, see <http://www.gnu.org/licenses/>.
""" This modules defines the board of the game based on the configuration the user has requested """ import numpy as np import pawn import math ##DIRECTIONS## NORTHWEST = "northwest" NORTHEAST = "northeast" SOUTHWEST = "southwest" SOUTHEAST = "southeast" # Constant for Obstacle in the game, 21 because max pawn_id in our game is 20 OBSTACLE = 21 class Board: # Initialize the board based on the config the user requested def __init__(self, numOfSquares=8, num_of_pawns = 12): self.board = np.zeros((numOfSquares, numOfSquares)) self.p1_pawns = {} self.p2_pawns = {} self.num_of_pawns = num_of_pawns if numOfSquares == 10: self.num_of_pawns = 20 elif numOfSquares == 6: self.num_of_pawns = 6 num_of_rows = self.num_of_pawns / (numOfSquares / 2) self.initialize_players(0, 1, self.num_of_pawns) if numOfSquares == 8 and num_of_pawns != 6: self.initialize_players(int(numOfSquares - num_of_rows), 0, self.num_of_pawns, False) else: self.initialize_players(int(numOfSquares - num_of_rows), 1, self.num_of_pawns, False) self.total_moves = 0 self.moves_since_last_capture = 0 # Initialize player pawns and populate the board with their positions def initialize_players(self, start_row, start_index, num_of_pawns, p1=True): rows, cols = self.board.shape num_rows_to_fill = math.ceil(num_of_pawns / (cols / 2)) pawn_id = 1 for row in range(start_row, start_row + num_rows_to_fill): for col in range(start_index, cols, 2): if pawn_id > num_of_pawns: break if (p1): self.board[row, col] = pawn_id self.p1_pawns[pawn_id] = pawn.Pawn(pawn_id, row, col, start_row) pawn_id += 1 else: self.board[row, col] = -pawn_id self.p2_pawns[-pawn_id] = pawn.Pawn(-pawn_id, row, col, start_row) pawn_id += 1 if start_index == 0: start_index = 1 else: start_index = 0 # Updates the board and pawn object to according to new coordinate def update_board_pawn(self, new_x, new_y, pawn, p1=True): old_x, old_y = pawn.coordinates temp = self.board[new_x][new_y] self.board[new_x][new_y] = pawn.id self.board[old_x][old_y] = temp if p1: self.p1_pawns[pawn.id].coordinates = (new_x, new_y) else: self.p2_pawns[pawn.id].coordinates = (new_x, new_y) # Returns all the available to move for a given player # TODO: Rename the parameters to follow consistency def get_available_pawns(self, player_pawns_list, p2_list, dir): temp_dict = player_pawns_list player_available_pawns = [] for p in temp_dict: if not temp_dict[int(p)].is_king: x, y = self.get_new_coordinates(dir[0], temp_dict[p]) a, b = self.get_new_coordinates(dir[1], temp_dict[p]) if self.check_boundry(x, y) and p not in player_available_pawns: if self.board[x][y] == 0: player_available_pawns.append(p) elif self.board[x][y] in p2_list: x1, y1 = self.get_new_coordinates(dir[0], p2_list[self.board[x][y]]) if self.check_boundry(x1, y1) and self.board[x1, y1] == 0: player_available_pawns.append(p) if self.check_boundry(a, b) and p not in player_available_pawns: if self.board[a][b] == 0: player_available_pawns.append(p) elif self.board[a][b] in p2_list: a1, b1 = self.get_new_coordinates(dir[1], p2_list[self.board[a][b]]) if self.check_boundry(a1, b1) and self.board[a1, b1] == 0: player_available_pawns.append(p) else: temp_list = self.get_kings_move(temp_dict[p]) if len(temp_list) > 0: player_available_pawns.append(p) return player_available_pawns # Checks if given point (x, y) is within the board def check_boundry(self, x, y): rows, cols = self.board.shape if (0 <= x < rows) and (0 <= y < cols): return True else: return False # This method is used to search for all the movable pawns of the players def check_available_pawns_to_move(self, p1=False): """ :param p1 boolean :return array array of pawns that can move forward/backward Available pawns to move """ if p1 == True: return self.get_available_pawns(self.p1_pawns, self.p2_pawns, [SOUTHWEST, SOUTHEAST]) else: return self.get_available_pawns(self.p2_pawns, self.p1_pawns, [NORTHWEST, NORTHEAST]) # Given direction, return the corresponding pawn def get_new_coordinates(self, dir, pawn): """ Returns the coordinates one square in a different direction to (x,y). """ x, y = (pawn.coordinates) if dir == NORTHWEST: return x - 1, y - 1 elif dir == SOUTHWEST: return x + 1, y - 1 elif dir == NORTHEAST: return x - 1, y + 1 elif dir == SOUTHEAST: return x + 1, y + 1 else: return 0 # Given pawn, return all the coordinates the pawn can move for player 1 def get_player1_moves(self, dir1, dir2, pawn): get_pawn_moves = [] sw_x, sw_y = self.get_new_coordinates(dir1, pawn) se_x, se_y = self.get_new_coordinates(dir2, pawn) if self.check_boundry(sw_x, sw_y) and self.board[sw_x][sw_y] < 0 and self.board[sw_x][sw_y] != OBSTACLE: sw_sw_x, sw_sw_y = self.get_new_coordinates(dir1, self.p2_pawns[self.board[sw_x][sw_y]]) if self.check_boundry(sw_sw_x, sw_sw_y) and self.board[sw_sw_x][sw_sw_y] == 0: get_pawn_moves.append((sw_sw_x, sw_sw_y)) if self.check_boundry(se_x, se_y) and self.board[se_x][se_y] < 0 and self.board[sw_x][sw_y] != OBSTACLE: se_se_x, se_se_y = self.get_new_coordinates(dir2, self.p2_pawns[self.board[se_x][se_y]]) if self.check_boundry(se_se_x, se_se_y) and self.board[se_se_x][se_se_y] == 0: get_pawn_moves.append((se_se_x, se_se_y)) if self.check_boundry(sw_x, sw_y) and self.board[sw_x][sw_y] == 0: get_pawn_moves.append((sw_x, sw_y)) if self.check_boundry(se_x, se_y) and self.board[se_x][se_y] == 0: get_pawn_moves.append((se_x, se_y)) return get_pawn_moves # Given pawn, return all the coordinates the pawn can move for player 1 # TODO: combine this and above method to one single method def get_player2_moves(self, dir1, dir2, pawn): get_pawn_moves = [] nw_x, nw_y = self.get_new_coordinates(dir1, pawn) ne_x, ne_y = self.get_new_coordinates(dir2, pawn) if self.check_boundry(nw_x, nw_y) and self.board[nw_x][nw_y] > 0 and self.board[nw_x][nw_y] != OBSTACLE: nw_nw_x, nw_nw_y = self.get_new_coordinates(dir1, self.p1_pawns[self.board[nw_x][nw_y]]) if self.check_boundry(nw_nw_x, nw_nw_y) and self.board[nw_nw_x][nw_nw_y] == 0: get_pawn_moves.append((nw_nw_x, nw_nw_y)) if self.check_boundry(ne_x, ne_y) and self.board[ne_x][ne_y] > 0 and self.board[ne_x][ne_y] != OBSTACLE: ne_ne_x, ne_ne_y = self.get_new_coordinates(dir2, self.p1_pawns[self.board[ne_x][ne_y]]) if self.check_boundry(ne_ne_x, ne_ne_y) and self.board[ne_ne_x][ne_ne_y] == 0: get_pawn_moves.append((ne_ne_x, ne_ne_y)) if self.check_boundry(nw_x, nw_y) and self.board[nw_x][nw_y] == 0: get_pawn_moves.append((nw_x, nw_y)) if self.check_boundry(ne_x, ne_y) and self.board[ne_x][ne_y] == 0: get_pawn_moves.append((ne_x, ne_y)) return get_pawn_moves # This method is used to check the possible coordinates that the pawn can move to def get_moves(self, pawn): """ :param pawn Pawn object :return array array of coordinates the pawn can move to Returns a list of legal move locations from a set of coordinates (x,y) on the board. If that location is empty, then get_moves() return an empty list. """ x, y = (pawn.coordinates) pawn_id = self.board[x][y] if pawn_id != 0: if pawn_id < 0 and pawn.is_king is False: get_pawn_moves = self.get_player2_moves(NORTHWEST, NORTHEAST, pawn) elif pawn_id > 0 and pawn.is_king is False: get_pawn_moves = self.get_player1_moves(SOUTHWEST, SOUTHEAST, pawn) else: get_pawn_moves = self.get_kings_move(pawn) else: get_pawn_moves = [] return get_pawn_moves # Given a King pawn, get all the possible coordinates that the pawn can move to def get_kings_move(self, pawn): x, y = (pawn.coordinates) get_pawn_moves = [] pawn_id = self.board[x][y] if pawn_id != 0: if pawn_id < 0: get_pawn_moves.extend(self.get_player2_moves(NORTHWEST, NORTHEAST, pawn)) get_pawn_moves.extend(self.get_player2_moves(SOUTHWEST, SOUTHEAST, pawn)) elif pawn_id > 0: get_pawn_moves.extend(self.get_player1_moves(NORTHWEST, NORTHEAST, pawn)) get_pawn_moves.extend(self.get_player1_moves(SOUTHWEST, SOUTHEAST, pawn)) return get_pawn_moves # This method is used to analyze the move when the pawn is selected def check_move_type(self, pawn, direction): """ :param pawn Pawn object :return int 0 for simple move, 1 capturing move and -1 if the move cannot be made """ new_x, new_y = self.get_new_coordinates(direction, pawn) new_id = self.board[new_x, new_y] if new_id == 0: return 0 elif new_id > 0 and pawn.id > 0 or new_id < 0 and pawn.id < 0: return -1 else: return 1 # This method controls the pawn's movement def move_pawn(self, pawn, coordinate): """ This method handle the pawn movement inside the board :param pawn_id int Changes the position of the pawn selected and state of board :return list if the move is of type capture and can be chained """ direction = self.get_direction_from_coordinates(pawn, coordinate) self.total_moves += 1 self.moves_since_last_capture += 1 chain_capture_coordinates = [] if self.check_move_type(pawn, direction) == 0: self.simple_move(pawn, direction) elif self.check_move_type(pawn, direction) == 1: self.move_capture_pawn(pawn, direction) # Check if the move can be chained by another capture chain_capture_coordinates = self.get_chain_capture_coordinates(pawn) if (pawn.id > 0 and pawn.coordinates[0] == self.board.shape[0] - 1) or ( pawn.id < 0 and pawn.coordinates[0] == 0): pawn.is_king = True return chain_capture_coordinates def get_chain_capture_coordinates(self, pawn): chain_capture_coordinates = [] moves_list = self.get_moves(pawn) for coordinate in moves_list: move_type = self.check_move_type(pawn, self.get_direction_from_coordinates(pawn, coordinate)) if move_type == 1: chain_capture_coordinates.append(coordinate) return chain_capture_coordinates # This method is used when the move type is a capturing move def move_capture_pawn(self, pawn, direction): """ :param pawn Pawn object """ pawn_id = pawn.id pawn_coordinates = pawn.coordinates rival_pawn_coordinates = self.get_new_coordinates(direction, pawn) rival_pawn = self.p1_pawns[self.board[rival_pawn_coordinates]] if self.board[rival_pawn_coordinates] > 0 else \ self.p2_pawns[self.board[rival_pawn_coordinates]] new_x, new_y = self.get_new_coordinates(direction, rival_pawn) self.remove_pawn(rival_pawn, rival_pawn.id > 0) self.update_board_pawn(new_x, new_y, pawn, pawn.id > 0) # This method is used when the move type is simple, move the pawn diagonally, change the state of board and coordinate of given pawn def simple_move(self, pawn, direction): """ :param pawn Pawn object """ new_x, new_y = self.get_new_coordinates(direction, pawn) self.update_board_pawn(new_x, new_y, pawn, pawn.id > 0) # This method is used to update the state of the board and pawn def update_board_pawn(self, new_x, new_y, pawn, p1=True): self.board[new_x, new_y] = pawn.id self.board[pawn.coordinates] = 0 if (p1): self.p1_pawns[pawn.id].coordinates = (new_x, new_y) else: self.p2_pawns[pawn.id].coordinates = (new_x, new_y) # This method is used to remove pawn from players' dictionary and updates the state of board def remove_pawn(self, pawn, p1=True): self.moves_since_last_capture = 0 pawn_id = pawn.id pawn_coordinates = pawn.coordinates if p1: self.p1_pawns.pop(pawn_id, None) else: self.p2_pawns.pop(pawn_id, None) self.board[pawn_coordinates] = 0 # This method checks if the game is over or not. def check_game_status(self): """ This method checks the status of the game Returns true if the game is over and false if the game is still active in progress """ if self.moves_since_last_capture > 40 or len(self.p1_pawns) == 0 or len(self.p2_pawns) == 0: return True return False # This method is used to declare winner def declare_winner(self): """ This method declares the winner of the game Returns 1 \| 0 \| -1, 1 if player1 is the winner, -1 if player2 is the winner and 0 if its a tie """ if len(self.p1_pawns) == 0: return -1 elif len(self.p2_pawns) == 0: return 1 else: return 1 if len(self.p1_pawns) > len(self.p2_pawns) else -1 # This method gives the direction from the given pawn and new coordinate def get_direction_from_coordinates(self, pawn, new_coordinate): x, y = (pawn.coordinates) new_x, new_y = new_coordinate if x > new_x and y > new_y: return NORTHWEST elif x < new_x and y > new_y: return SOUTHWEST elif x > new_x and y < new_y: return NORTHEAST elif x < new_x and y < new_y: return SOUTHEAST # Returns the number of kings in the given pawn list def total_kings(self, pawns): count = 0 for pawn in pawns.values(): if pawn.is_king: count += 1 return count # Evaluate score (simpler version) def game_score(self): return len(self.p1_pawns) - len(self.p2_pawns) + \ (self.total_kings(self.p1_pawns) * 0.5 - self.total_kings(self.p2_pawns) * 0.5) # Computes the score of the state according to pawn coordinate position and is_king status def compute_score(self): score = 0 # if player1's turn if self.total_moves % 2 == 0: for i in range(self.board[0].size): for j in range(self.board[0].size): pawn = self.board[i][j] if pawn in self.p1_pawns.keys() or pawn in self.p2_pawns.keys(): if pawn in self.p1_pawns.keys() and self.p1_pawns[pawn].is_king: score += 10 elif pawn in self.p2_pawns.keys() and self.p2_pawns[pawn].is_king: score -= 10 elif pawn in self.p1_pawns.keys() and i < 4: score += 5 elif pawn in self.p2_pawns.keys() and i < 4: score -= 7 elif pawn in self.p1_pawns.keys() and i >= 4: score += 7 elif pawn in self.p2_pawns.keys() and i >= 4: score -= 5 # if player2's turn else: for i in range(self.board[0].size): for j in range(self.board[0].size): pawn = self.board[i][j] if pawn in self.p1_pawns.keys() or pawn in self.p2_pawns.keys(): if pawn in self.p1_pawns.keys() and self.p1_pawns[pawn].is_king: score += 10 elif pawn in self.p2_pawns.keys() and self.p2_pawns[pawn].is_king: score -= 10 elif pawn in self.p1_pawns.keys() and i < 4: score += 7 elif pawn in self.p2_pawns.keys() and i < 4: score -= 5 elif pawn in self.p1_pawns.keys() and i >= 4: score += 7 elif pawn in self.p2_pawns.keys() and i >= 4: score -= 5 #print(f"score: {score / (len(self.p1_pawns) + (len(self.p2_pawns)))}") return score / (len(self.p1_pawns) + (len(self.p2_pawns))) # This method adds obstacles to the board def set_obstacles(self, num_of_obstacles=0): obstacles = [] rows = self.board.shape[0] while num_of_obstacles > 0: x = np.random.randint(rows) y = np.random.randint(rows) if self.board[x, y] == 0: self.board[x, y] = OBSTACLE obstacles.append((x, y)) num_of_obstacles -= 1 return obstacles # String representation of the Board object def __str__(self): return f"Board: \n{self.board}\n" if __name__ == "__main__": board = Board() obs = board.set_obstacles(3) print(board) print(obs)
import pandas as pd import numpy as np #import matplotlib.pyplot as plt import time from pymongo import * import re from TopicModeling import #algorito LDA dbName = "tw_arg_usa"; client = MongoClient('localhost', 27017) db = client['twitter_db'] collection = db[dbName] class Document(): def __init__(self,col): self.documentText="" self.collection=col def obtenerPedazoDocumento(self,row): texto=self.obtenerTexto(row['id']) texto = re.sub('[.@/:!?"#$\n]', '', texto) self.documentText=self.documentText+texto return 1 def obtenerTexto(self,idTuit): tuits = self.collection.find({"id": idTuit}) if(tuits.count()==0): print("No existe ese tuit") return None t = tuits.next() texto = t["text"] return texto documents=[] df = pd.read_csv("tw_arg_usa.csv") df['hour']=df.apply(lambda x:time.strftime('%H', time.strptime(x['created_at'],'%a %b %d %H:%M:%S +0000 %Y')),axis=1) df['minute']=df.apply(lambda x:int(time.strftime('%M', time.strptime(x['created_at'],'%a %b %d %H:%M:%S +0000 %Y')))//1010,axis=1) #df['time']=df.apply(lambda x:str(x['hour'])+":"+str(x['minute']),axis=1) grouped_df=df.groupby(['hour','minute']) for key, item in grouped_df: aux_df= grouped_df.get_group(key) document=Document(collection) aux_df.apply(document.obtenerPedazoDocumento,axis=1) documents.append(document.documentText) #clase que clacula LDA, #tern score es el metodo que selecciona las palabras mas relevantes lda_wrapper = TopicModelingLDA(documents, "term_score") #recibe numero de topicos: le pongo el numero de documentos xd #recibe el numero de iteraciones: le pongo 10 lda_wrapper.fit(len(documents), 10) #se obtienen las 10 palabras mas importantes de cada topico top10 = lda_wrapper.get_highest_scores() """ for i,doc in enumerate(documents): print ("****************DOCUMENTO NUMERO: ",i, " ******************") print (doc) """
import subprocess import os import math template_dir = "new-template" outers = ["one","two","three","four","five"] inners = ["two","three","four","five"] adds = ["const","lin","quad","cub","quar","quin"] def writeLoop(outfile, degree, typ): template = open(template_dir + "/" + adds[degree] + typ + ".tmp") for line in template: outfile.write(line) outfile.write("\n") template.close() def createFile(target, a, b, degree, typ): outfile = open(target, "w+") outfile.write("int __cost = 0;\n\n") if (degree != 0 and typ != "") : writeLoop(outfile, degree, typ) outfile.write("void recursive(int n) {\n") outfile.write(" __VERIFIER_assume (n >= 0);\n") terminating_cond = " \|\| ".join(["n == " + str(i) for i in range(b, 2b)]) outfile.write(" if (" + terminating_cond + ") {\n") if (degree != 0): outfile.write(" __cost += " + str(2b-1) + ";\n") else : outfile.write(" __cost++;\n") outfile.write(" return;\n") outfile.write(" }\n") outfile.write(" int m = n/" + str(b) + ";\n") for i in range(0, a): outfile.write(" recursive(m);\n") if (typ == ""): if (degree == 0): outfile.write(" __cost++;\n") elif (degree == 1): outfile.write(" __cost+=m;\n") elif (degree == 2): outfile.write(" __cost+=mm;\n") elif (degree == 3): outfile.write(" __cost+=mmm;\n") elif (degree == 4): outfile.write(" __cost+=mmmm;\n") else : outfile.write(" __cost+=mmmmm;\n") else : outfile.write(" loop(m);\n") outfile.write(" return;\n") outfile.write("}\n\n") outfile.write("void main(int n) {\n") outfile.write(" recursive(n);\n") outfile.write("}\n") outfile.close() for outerval, outer in enumerate(outers): for innerval, inner in enumerate(inners): for degree, add in enumerate(adds): case = "case" if (outerval == 0): if (degree == 0): case = case + "2" else: continue elif (math.log(outerval+1,innerval+2) > degree): case = case + "1" elif (math.log(outerval+1,innerval+2) == degree): case = case + "2" elif (math.pow(innerval+2,degree)>(outerval+1)): case = case + "3" else: continue if (not os.path.isdir(case)): subprocess.run(["mkdir", case]) if (not os.path.isdir(case+"/a-"+outer)): subprocess.run(["mkdir", case + "/a-"+outer]) if (not os.path.isdir(case+"/a-"+outer+"/b-"+inner)): subprocess.run(["mkdir", case+"/a-"+outer+"/b-"+inner]) if (not os.path.isdir(case+"/a-"+outer+"/b-"+inner+"/add-"+add)): subprocess.run(["mkdir", case+"/a-"+outer+"/b-"+inner+"/add-"+add]) if (add == "const"): target = case + "/a-"+outer+"/b-" + inner + "/add-" +add+"/a_"+outer+"_b_"+inner+"_add_"+add+".c" createFile(target, outerval+1, innerval+2, degree, "") else : types = ["","_rec","_loop"] for typ in types: target = case + "/a-"+outer+"/b-" + inner + "/add-" +add+"/a_"+outer+"_b_"+inner+"_add_"+add+typ+".c" createFile(target, outerval+1, innerval+2, degree, typ)
# To affect an HSMM, we want the probability of the state given the length of # time to the last word # This is only for non-0 transitions in the HMM import numpy as np import time from collections import defaultdict from sklearn import metrics from sklearn.linear_model import LogisticRegression # from sklearn.naive_bayes import GaussianNB # from sklearn.tree import DecisionTreeClassifier # from sklearn.ensemble import RandomForestClassifier from sklearn.preprocessing import StandardScaler import cPickle # import sys # sys.path.append("../") from deep_disfluency.feature_extraction.feature_utils import \ load_data_from_corpus_file from deep_disfluency.load.load import load_tags def load_timing_data(dialogues, labels2idx, simple=False): # make the args into a dict # get relevant dictionaries if simple: # overall_simple_trp_label2idx = {0: "<cc/>", # 1: "<ct/>", # 2: "<tc/>", # 3: "<tt/>"} simple_trp_label2idx = {0: "<c", 1: "<t"} # simple_trp_label2idx2 = {0: "c/>", # 1: "t/>"} else: simple_trp_label2idx = labels2idx # a map from the label index to every duration of that label timing_dict = defaultdict(list) for dialogue in dialogues: _, dialogue_speaker_data = dialogue _, lex_data, _, _, labels = dialogue_speaker_data timings = [float(l[2]) for l in lex_data] # just word end timings prev = 0 prev_t = 0 prev_prev_t = 0 # effecting a trigram of timings for i in range(0, len(timings)): t = timings[i] - prev complex_tag = labels[i] # print complex_tag found = False tag = labels[i] if simple: for k, v in simple_trp_label2idx.items(): if v in complex_tag: tag = k found = True break if not found: if "<laughter" in complex_tag: continue raw_input("warning: " + complex_tag + " " + tag) if t < 0: print "below zero" t = np.average([x[0] for x in timing_dict[tag]]) timings[i-1] = timings[i] - t # turn to milliseconds timing_dict[tag].append((prev_prev_t, prev_t, t)) # now the second one prev = timings[i] prev_prev_t = prev_t prev_t = t # compile all the timings information together X = [] y = [] for i in sorted(timing_dict.keys()): print simple_trp_label2idx[i] print np.average([time[0] for time in timing_dict[i]]), print np.std([time[0] for time in timing_dict[i]]) for tup in timing_dict[i]: X.append(list(tup)) y.append(i) X = np.asarray(X) y = np.asarray(y) print X.shape print y.shape return X, y def train(X, y): scaler = StandardScaler() X = scaler.fit_transform(X) # quite a sparsity problem model = LogisticRegression(class_weight='balanced', multi_class='ovr') model.fit(X, y) print(model) return model, scaler def test_simple(model, scaler, data, y): # make predictions X = scaler.transform(data) expected = y print expected predicted = model.predict(X) print model.predict_proba(X) print metrics.classification_report(expected, predicted) print metrics.confusion_matrix(expected, predicted) def test(model, scaler, X, y): # make predictions def convert_to_overall_dict(a, b): if a == 0: if b == 0: return 0 elif b == 1: return 1 elif a == 1: if b == 0: return 2 elif b == 1: return 3 print a, b, "wrong!" return None def convert_to_two_singles(a): if a == 0: return 0, 0 if a == 1: return 0, 1 if a == 2: return 1, 0 if a == 3: return 1, 1 test1 = [] for x in list(y): a, _ = convert_to_two_singles(x) test1.append(a) X1 = scaler.transform(X) predicted = model.predict(X1) print metrics.classification_report(np.asarray(test1), predicted) print metrics.confusion_matrix(np.asarray(test1), predicted) if __name__ == '__main__': disf_dir = "../data/disfluency_detection/switchboard" training_file = disf_dir + "/swbd_disf_train_1_2_partial_data_timings.csv" heldout_file = disf_dir + "/swbd_disf_heldout_partial_data_timings.csv" tag_dir = "../data/tag_representations" labels2idx = load_tags(tag_dir + "/swbd_uttseg_tags.csv") dialogues = load_data_from_corpus_file(training_file) X, y = load_timing_data(dialogues, labels2idx, simple=True) model, scaler = train(X, y) dialogues = load_data_from_corpus_file(heldout_file) X, y = load_timing_data(dialogues, labels2idx, simple=True) test_simple(model, scaler, X, y) # save the classifier with open('timing_models/' + 'LogReg_balanced_timing_classifier.pkl', 'wb') as fid: cPickle.dump(model, fid) with open('timing_models/' + 'LogReg_balanced_timing_scaler.pkl', 'wb') as fid: cPickle.dump(scaler, fid)
moveSet1 = 'R1009,D117,L888,D799,L611,U766,L832,U859,L892,D79,R645,U191,L681,D787,R447,D429,L988,U536,L486,D832,R221,D619,R268,D545,L706,U234,L528,D453,R493,D24,L688,U658,L74,D281,R910,D849,L5,U16,R935,D399,L417,U609,R22,D782,L432,D83,L357,D982,L902,U294,L338,U102,R342,D621,R106,U979,L238,U158,R930,D948,L700,D808,R445,U897,R980,U227,L466,D416,R244,U396,R576,U157,R548,U795,R709,U550,R137,U212,L977,U786,L423,D792,R391,D974,R390,U771,R270,D409,L917,D9,R412,D699,L170,D276,L912,U710,R814,U656,R4,D800,R596,U970,L194,U315,L845,D490,L303,U514,L675,D737,L880,D86,L253,D525,R861,D5,R424,D113,L764,D900,R485,D421,R125,U684,R53,U96,L871,U260,R456,U378,L448,D450,L903,D482,R750,U961,R264,D501,R605,D367,R550,U642,R228,U164,L343,U868,R595,D318,R452,U845,L571,D281,R49,D889,L481,U963,R182,U358,R454,U267,L790,D252,R455,D188,L73,U256,L835,D816,R503,U895,L259,U418,R642,U818,L187,U355,R772,U466,R21,U91,R707,D349,L200,U305,R931,D982,L334,D416,L247,D935,L326,U449,L398,D914,R602,U10,R762,D944,L639,D141,L457,U579,L198,U527,R750,U167,R816,D753,R850,D281,L712,D583,L172,D254,L544,D456,R966,U839,R673,D479,R730,D912,R992,D969,R766,U205,R477,D719,R172,D735,R998,D687,R698,D407,R172,U945,R199,U348,L256,D876,R580,U770,L483,D437,R353,D214,R619,U541,R234,D962,R842,U639,R520,D354,L279,D15,R42,U138,L321,D376,L628,D893,L670,D574,L339,U298,L321,D120,L370,U408,L333,D353,L263,D79,R535,D487,R113,D638,R623,D59,L508,D866,R315,U166,L534,U927,L401,D626,L19,D994,L778,D317,L936,U207,L768,U948,R452,U165,R864,D283,L874' moveSet2 = 'L995,D93,L293,U447,L793,D605,R497,D155,L542,D570,R113,D779,L510,U367,L71,D980,R237,U290,L983,U49,R745,U182,L922,D174,L189,D629,R315,D203,R533,U72,L981,D848,L616,U654,R445,D864,R526,D668,L678,U378,L740,D840,L202,D429,R136,D998,L116,D554,L893,U759,R617,U942,R999,U582,L220,U447,R895,D13,R217,U743,L865,U950,R91,D381,R662,D518,L798,D637,L213,D93,L231,D185,R704,U581,L268,U773,R405,U862,R796,U73,L891,U553,L952,U450,R778,D868,R329,D669,L182,U378,L933,D83,R574,U807,R785,D278,R139,D362,R8,U546,R651,U241,L462,D309,L261,D307,L85,U701,L913,U271,R814,U723,L777,D256,R417,U814,L461,U652,R198,D747,R914,U520,R806,U956,L771,D229,R984,U685,R663,D812,R650,U214,R839,U574,L10,U66,R644,D371,L917,D819,L73,D236,R277,U611,R390,U723,L129,D496,L552,D451,R584,U105,L805,U165,R179,D372,L405,D702,R14,U332,L893,D419,R342,D146,R907,D672,L316,U257,L903,U919,L942,U771,R879,U624,L280,U150,L320,U220,R590,D242,R744,U291,R562,U418,L898,U66,L564,U495,R837,D555,L739,D780,R409,D122,L426,D857,R937,D600,R428,D592,R727,U917,R256,D680,L422,U630,L14,U240,R617,D664,L961,D554,L302,U925,L376,D187,L700,D31,L762,U397,L554,D217,R679,D683,R680,D572,R54,D164,L940,D523,R140,U52,L506,D638,R331,D415,R389,D884,R410,D62,R691,U665,R889,U864,L663,D690,R487,U811,L190,U780,L758,U267,R155,D344,L133,D137,R93,D229,L729,U878,L889,D603,R288,U890,R251,U531,L249,D995,R863,D257,R655,D311,R874,U356,L833,U151,L741,U246,R694,D899,L48,U915,L900,U757,L861,U402,R971,U537,R460,D844,R54,U956,L151,U74,R892,U248,R677,D881,R99,D931,R427' def move_calculator(move_string: str): move_set = move_string.split(",") x_pos = 0 y_pos = 0 move_list = [] for move in move_set: for step in range(0, int(move[1:])): if move[0] == 'U': y_pos += 1 elif move[0] == 'D': y_pos -= 1 elif move[0] == 'L': x_pos -= 1 elif move[0] == 'R': x_pos += 1 move_list.append([x_pos, y_pos]) return move_list def x_reference(move_list1: list, move_list2: list): intersections = [] for move in move_list2: if move in move_list1: intersections.append(move) return intersections move_output1 = move_calculator(moveSet1) move_output2 = move_calculator(moveSet1) intersections = x_reference(move_output1, move_output2) lowest_distance = 10000000000000000000000000000000000000000000000000000 for intersect in intersections: final_x = 0 final_y = 0 if intersect[0] < 0: final_x = intersect[0] * -1 else: final_x = intersect[0] if intersect[1] < 0: final_y = intersect[1] * -1 else: final_y = intersect[1] if (final_x + final_y) < lowest_distance: lowest_distance = final_x + final_y print(lowest_distance)
from django.core.management import BaseCommand from django.db import transaction from voter.models import ChangeTracker, NCVoter BULK_CREATE_AMOUNT = 3000 @transaction.atomic def remove_changes(fileID): print("Rebuiding voter table", flush=True) processed_ncids = set() rebuilt_records = [] for ncid in ChangeTracker.objects.filter(file_tracker_id=fileID).values_list('ncid', flat=True): if ncid not in processed_ncids: data = dict() for change in ChangeTracker.objects.filter(ncid=ncid, file_tracker_id__lt=fileID).order_by('snapshot_dt'): data.update(change.data) rebuilt_records.append((ncid, data)) processed_ncids.add(ncid) if len(rebuilt_records) > BULK_CREATE_AMOUNT: for i in rebuilt_records: NCVoter.objects.filter(ncid=i[0]).update((i[1])) rebuilt_records.clear() if len(rebuilt_records) > 0: for i in rebuilt_records: NCVoter.objects.filter(ncid=i[0]).update((i[1])) rebuilt_records.clear() print("Removing change trackers", flush=True) ChangeTracker.objects.filter(file_tracker_id=fileID).delete() class Command(BaseCommand): help = "Rebuild the voter table until file ID" def add_arguments(self, parser): parser.add_argument( '--fileid', type=int, help='Rebuild the voter table until file ID') def handle(self, args, *options): fileID = options['fileid'] print('Removing all changes from file {}'.format(fileID), flush=True) remove_changes(fileID)
# coding: utf-8 """ Tool Name: Exploratory Regression Source Name: ExploratoryRegression.py Version: ArcGIS 10.0 Author: Environmental Systems Research Institute Inc. """ ################ Imports #################### import sys as SYS import copy as COPY import os as OS import collections as COLL import operator as OP import locale as LOCALE import numpy as NUM import math as MATH import numpy.linalg as LA import arcpy as ARCPY import arcpy.management as DM import arcpy.da as DA import ErrorUtils as ERROR import SSDataObject as SSDO import SSUtilities as UTILS import Stats as STATS import MoransI_Step as GI import WeightsUtilities as WU import gapy as GAPY import itertools as ITER import locale as LOCALE LOCALE.setlocale(LOCALE.LC_ALL, '') ################ Output Field Names ################# erFieldNames = ["RunID", "AdjR2", "AICc", "JB", "K_BP", "MaxVIF", "SA", "NumVars"] ############## Helper Functions ############## masterJustify = ["right"] * 6 + ["left"] def returnPerc(numer, denom): if numer == 0: return 0.0 else: return ( (numer * 1.0) / denom) * 100. def runMoransI(ssdo, residuals, weightsMatrix, weightsType = "SWM", silent = True): mi = GI.GlobalI_Step(ssdo, residuals, weightsMatrix, weightsType = weightsType, silent = silent) return mi def nChooseK(n, k): top = MATH.factorial(n) left = MATH.factorial(k) right = MATH.factorial(n - k) return (top * 1.0) / (left * right) def inSameCombo(n, k): top = MATH.factorial(n - 2) left = MATH.factorial(k - 2) right = MATH.factorial(n - k) return (top * 1.0) / (left * right) ################ Interfaces ################## def runExploratoryRegression(): """Retrieves the parameters from the User Interface and executes the appropriate commands.""" #### Get User Provided Inputs #### ARCPY.env.overwriteOutput = True inputFC = ARCPY.GetParameterAsText(0) dependentVar = ARCPY.GetParameterAsText(1).upper() independentVarsReg = ARCPY.GetParameterAsText(2) independentVars = independentVarsReg.upper().split(";") weightsFile = UTILS.getTextParameter(3) #### Derived Output #### outputReportFile = OS.path.join(ARCPY.env.scratchFolder, "ModelSelectionOLS.txt") #### Search Criterion #### maxIndVars = UTILS.getNumericParameter(5) minIndVars = UTILS.getNumericParameter(6) minR2 = UTILS.getNumericParameter(7) maxCoef = UTILS.getNumericParameter(8) maxVIF = UTILS.getNumericParameter(9) minJB = UTILS.getNumericParameter(10) minMI = UTILS.getNumericParameter(11) #### Create a Spatial Stats Data Object (SSDO) #### ssdo = SSDO.SSDataObject(inputFC) #### Set Unique ID Field #### masterField = UTILS.setUniqueIDField(ssdo, weightsFile = weightsFile) #### MasterField Can Not Be The Dependent Variable #### if masterField == dependentVar: ARCPY.AddIDMessage("ERROR", 945, masterField, ARCPY.GetIDMessage(84112)) raise SystemExit() #### Remove the MasterField from Independent Vars #### if masterField in independentVars: independentVars.remove(masterField) ARCPY.AddIDMessage("WARNING", 736, masterField) #### Remove the Dependent Variable from Independent Vars #### if dependentVar in independentVars: independentVars.remove(dependentVar) ARCPY.AddIDMessage("WARNING", 850, dependentVar) #### Raise Error If No Independent Vars #### if not len(independentVars): ARCPY.AddIDMessage("ERROR", 737) raise SystemExit() #### Obtain Data #### allVars = [dependentVar] + independentVars #### Populate SSDO with Data #### if not weightsFile: ssdo.obtainDataGA(masterField, allVars, minNumObs = 5, warnNumObs = 30) else: ssdo.obtainData(masterField, allVars, minNumObs = 5, warnNumObs = 30) ExploratoryRegression(ssdo, dependentVar, independentVars, weightsFile = weightsFile, outputReportFile = outputReportFile, maxIndVars = maxIndVars, minIndVars = minIndVars, minR2 = minR2, maxCoef = maxCoef, maxVIF = maxVIF, minJB = minJB, minMI = minMI) #### Send Derived Output back to the tool #### ARCPY.SetParameterAsText(4, outputReportFile) ################## Classes ################### class ResultHandler(object): """Handles result information for Exploratory Regression.""" def __init__(self, allVarNames, numChoose, ssdo, weightMatrix, weightsType = "SWM", minR2 = .5, maxCoef = .01, maxVIF = 5.0, minJB = .1, minMI = .1, silent = False): #### Set Initial Attributes #### UTILS.assignClassAttr(self, locals()) #### Set Label #### self.numVars = len(self.allVarNames) self.label = ARCPY.GetIDMessage(84283).format(numChoose, self.numVars) if numChoose <= 2: self.eachAppears = 1 else: self.eachAppears = nChooseK(self.numVars - 2, numChoose - 2) #### Set Result Structures #### self.varSignDict = {} self.signDict = {} self.vifDict = {} for varName in self.allVarNames: self.varSignDict[varName] = [0, 0] self.signDict[varName] = [0, 0] self.vifDict[varName] = [0, []] self.olsResults = {} self.bestR2Vals = [] self.bestR2Res = [] self.passTable = [] self.passBools = [] self.r2Residuals = NUM.empty((self.ssdo.numObs, 3), dtype = float) self.allJBPass = UTILS.compareFloat(0.0, self.minJB, rTol = .00000001) self.allMIPass = UTILS.compareFloat(0.0, self.minMI, rTol = .00000001) self.miVals = [] def returnSilentBool(self): """Returns whether SWM neighbor warnings should be printed.""" if not self.silent and not len(self.miVals): #### Only Return Neighbor Warnings Once #### self.silent = True return False else: return True def runR2Moran(self): """Runs Moran's I for highest R2 Models.""" resultList = [] for ind, olsID in enumerate(self.bestR2Res): olsRes = self.olsResults[olsID] if olsRes.miPVal is None: silentBool = self.returnSilentBool() residuals = self.r2Residuals[:,ind].flatten() if not self.allMIPass: mi = runMoransI(self.ssdo, residuals, self.weightMatrix, weightsType = self.weightsType, silent = silentBool) miPVal = mi.pVal else: miPVal = 1.0 olsRes.setMoransI(miPVal) self.miVals.append(miPVal) #### Allows the Update of Output Table #### resultList.append( (olsID, olsRes.miPVal) ) return resultList def evaluateResult(self, olsResult, residuals, keep = False): """Evaluates an OLS result in the context of search criteria.""" #### Evaluate R2 #### r2Value = olsResult.r2 lenR2 = len(self.bestR2Vals) inR2 = False if lenR2 < 3: self.bestR2Vals.append(r2Value) self.bestR2Res.append(olsResult.id) self.r2Residuals[:,lenR2] = residuals inR2 = True else: minIndex = NUM.argsort(self.bestR2Vals)[0] minValue = self.bestR2Vals[minIndex] if r2Value > minValue: self.bestR2Vals[minIndex] = r2Value self.bestR2Res[minIndex] = olsResult.id self.r2Residuals[:,minIndex] = residuals inR2 = True #### Add to Master List of OLS Results #### keepBool = (keep or inR2) if keepBool: self.olsResults[olsResult.id] = olsResult #### Evaluate p-values #### pValVars = olsResult.evaluatePVals(maxCoef = self.maxCoef) #### Evaluate VIF #### vifVars = olsResult.evaluateVIF(maxVIF = self.maxVIF) #### Populate Result Structures #### for ind, varName in enumerate(olsResult.varNames): self.signDict[varName][0] += 1 if olsResult.coef[ind] < 0.0: self.varSignDict[varName][0] += 1 else: self.varSignDict[varName][1] += 1 for varName in pValVars: self.signDict[varName][1] += 1 for varName in vifVars: self.vifDict[varName][0] += 1 self.vifDict[varName][1] += list(vifVars) #### Obtain Bools #### pvBool = len(pValVars) == self.numChoose vifBool = len(vifVars) == 0 r2Bool = olsResult.r2 >= self.minR2 if not self.allJBPass: jbBool = olsResult.jb > self.minJB else: jbBool = True #### Decision Based on Bools #### tableBool = pvBool and vifBool if tableBool: self.passTable.append(olsResult.id) allBool = pvBool and vifBool and r2Bool and jbBool miBool = False if allBool: silentBool = self.returnSilentBool() if not self.allMIPass: mi = runMoransI(self.ssdo, residuals, self.weightMatrix, weightsType = self.weightsType, silent = silentBool) miPVal = mi.pVal else: miPVal = 1.0 olsResult.setMoransI(miPVal) self.miVals.append(miPVal) if miPVal > self.minMI: self.passBools.append(olsResult.id) self.olsResults[olsResult.id] = olsResult miBool = True return r2Bool, pvBool, vifBool, jbBool, miBool, keepBool def report(self): """Reports the results from exploratory regression analysis.""" #### Set Title #### title = self.label #### Column Labels #### labs = [ARCPY.GetIDMessage(84021), ARCPY.GetIDMessage(84249), ARCPY.GetIDMessage(84042), ARCPY.GetIDMessage(84036), ARCPY.GetIDMessage(84284), ARCPY.GetIDMessage(84292), ARCPY.GetIDMessage(84286)] r2Info = [ labs ] #### Adjusted R2, Sorted Highest to Lowest with ID Tie Breaks #### header = ARCPY.GetIDMessage(84287) numRes = UTILS.ssRange(len(self.bestR2Res)) r2Data = [] for i in numRes: r2Val = self.bestR2Vals[i] idVal = int(self.bestR2Res[i].split(":")[-1]) r2Data.append((r2Val, idVal)) r2Data = NUM.array(r2Data, dtype = [('r2', float), ('ids', int)]) r2SortedInds = r2Data.argsort(order = ('r2', 'ids')) sortIndex = reversed(r2SortedInds) for ind in sortIndex: olsID = self.bestR2Res[ind] olsRes = self.olsResults[olsID] olsOut = olsRes.report(formatStr = "%0.2f") r2Info.append(olsOut) r2Report = UTILS.outputTextTable(r2Info, header = header, justify = masterJustify) #### Passing Models #### header = ARCPY.GetIDMessage(84288) passList = [ labs ] r2Values = [] olsIDs = [] for olsID in self.passBools: olsRes = self.olsResults[olsID] r2Values.append(olsRes.r2) olsIDs.append(olsID) sortIndex = NUM.argsort(r2Values).tolist() sortIndex.reverse() for ind in sortIndex: olsID = olsIDs[ind] olsRes = self.olsResults[olsID] olsOut = olsRes.report(formatStr = "%0.6f") passList.append(olsOut) passingReport = UTILS.outputTextTable(passList, header = header) #### Print Report #### starMess = ARCPY.GetIDMessage(84289) * 78 finalReport = [starMess, title, r2Report, passingReport] finalReport = "\n".join(finalReport) finalReport = finalReport + "\n" ARCPY.AddMessage(finalReport) return finalReport class OLSResult(object): """Holds OLS Result Info for Exploratory Regression.""" def __init__(self, id, varNames, coef, pVals, vifVals, r2, aic, jb, bp, allMIPass = False): #### Set Initial Attributes #### UTILS.assignClassAttr(self, locals()) self.pVals = NUM.array(pVals) self.varNameArray = NUM.array(self.varNames) self.miPVal = None self.k = len(varNames) #### Create Model to Print #### self.createModel() def evaluateVIF(self, maxVIF = 5.0): """Evaluates VIF values.""" if self.k >= 2: self.maxVIFValue = self.vifVals.max() overIndices = NUM.where(self.vifVals >= maxVIF) return self.varNameArray[overIndices] else: self.maxVIFValue = 1.0 return NUM.array([]) def evaluatePVals(self, maxCoef = .01): """Evaluates coefficient p-values.""" overIndices = NUM.where(self.pVals <= maxCoef) return self.varNameArray[overIndices] def createModel(self): model = [] for ind, varName in enumerate(self.varNames): pVal = self.pVals[ind] coefVal = self.coef[ind] #### Determine Variable Sign #### if coefVal < 0: vRes = " -" else: vRes = " +" #### Determine Significance Level #### if pVal <= .1 and pVal > .05: vRes += varName + "" elif pVal <= .05 and pVal > .01: vRes += varName + "" elif pVal <= .01: vRes += varName + "*" else: vRes += varName #### Add to Model #### model.append(vRes) #### Set Attribute #### self.model = " ".join(model) def setMoransI(self, value): self.miPVal = value def report(self, orderType = 0, formatStr = "%0.6f", addModel = True): """Reports the results of the OLS run. INPUTS: orderType {int, 0}: Sort by - 0:R2, 1:Jarque-Bera, 2:Moran formatStr (str): format string, E.g. "%0.6f" addModel {bool, True}: Add model to report? """ #### Set Output Moran's I p-value #### if self.allMIPass: #### Make p-value NA #### miVal = ARCPY.GetIDMessage(84499) else: if self.miPVal is None: miVal = "" else: miVal = self.miPVal vifInd = -2 if orderType == 0: resultList = [ self.r2, self.aic, self.jb, self.bp, self.maxVIFValue, miVal ] elif orderType == 1: resultList = [ self.jb, self.r2, self.aic, self.bp, self.maxVIFValue, miVal ] else: resultList = [ miVal, self.r2, self.aic, self.jb, self.bp, self.maxVIFValue ] vifInd = -1 resultListVals = [] for val in resultList: try: outValue = UTILS.formatValue(val, formatStr) except: outValue = val resultListVals.append(outValue) if self.maxVIFValue >= 1000: resultListVals[vifInd] = ">" + LOCALE.format("%0.2f", 1000.) if addModel: resultListVals.append(self.model) return resultListVals class ExploratoryRegression(object): """Computes linear regression via Ordinary Least Squares, Psuedo-Step-Wise """ def __init__(self, ssdo, dependentVar, independentVars, weightsFile, outputReportFile = None, maxIndVars = 5, minIndVars = 1, minR2 = .5, maxCoef = .01, maxVIF = 5.0, minJB = .1, minMI = .1): ARCPY.env.overwriteOutput = True #### Set Initial Attributes #### UTILS.assignClassAttr(self, locals()) self.masterField = self.ssdo.masterField self.warnedTProb = False #### Set Boolean For Passing All Moran's I #### self.allMIPass = UTILS.compareFloat(0.0, self.minMI, rTol = .00000001) #### Assess Whether SWM File Being Used #### if weightsFile: weightSuffix = weightsFile.split(".")[-1].lower() if weightSuffix == "swm": self.weightsType = "SWM" self.weightsMatrix = self.weightsFile else: self.weightsType = "GWT" self.weightsMatrix = WU.buildTextWeightDict(weightsFile, self.ssdo.master2Order) else: #### If No Weightsfile Provided, Use 8 Nearest Neighbors #### if ssdo.numObs <= 9: nn = ssdo.numObs - 2 ARCPY.AddIDMessage("WARNING", 1500, 8, nn) else: nn = 8 self.weightsType = "GA" gaSearch = GAPY.ga_nsearch(self.ssdo.gaTable) gaSearch.init_nearest(0.0, nn, "euclidean") self.weightsMatrix = gaSearch #### Initialize Data #### self.runModels() def runModels(self): """Performs additional validation and populates the SSDataObject.""" #### Shorthand Attributes #### ssdo = self.ssdo #### Create Dependent Variable #### self.y = ssdo.fields[self.dependentVar].returnDouble() self.n = ssdo.numObs self.y.shape = (self.n, 1) #### Assure that Variance is Larger than Zero #### yVar = NUM.var(self.y) if NUM.isnan(yVar) or yVar <= 0.0: ARCPY.AddIDMessage("Error", 906) raise SystemExit() #### Validate Chosen Number of Combos #### k = len(ssdo.fields) if self.maxIndVars > (k - 1): ARCPY.AddIDMessage("WARNING", 1171, self.maxIndVars) self.maxIndVars = k - 1 ARCPY.AddIDMessage("WARNING", 1172, self.maxIndVars) #### Assure Degrees of Freedom #### withIntercept = self.maxIndVars + 1 dof = self.n - withIntercept if dof <= 2: ARCPY.AddIDMessage("WARNING", 1128, 2) dofLimit = self.n - 4 ARCPY.AddIDMessage("WARNING", 1419, dofLimit) self.maxIndVars = dofLimit if self.maxIndVars < 1: ARCPY.AddIDMessage("WARNING", 1173) #### Assure Min Vars is less than or equal to Max Vars #### if self.maxIndVars < self.minIndVars: ARCPY.AddIDMessage("WARNING", 1174) ARCPY.AddIDMessage("WARNING", 1175) self.minIndVars = self.maxIndVars #### Gen Range Combos #### rangeVars = range(1, k) rangeCombos = NUM.arange(self.minIndVars, self.maxIndVars+1) #### Create Base Design Matrix #### self.x = NUM.ones((self.n, k), dtype = float) for column, variable in enumerate(self.independentVars): self.x[:,column + 1] = ssdo.fields[variable].data #### Calculate Global VIF #### self.globalVifVals = COLL.defaultdict(float) if k > 2: #### Values Less Than One Were Forced by Psuedo-Inverse #### self.printVIF = True else: self.printVIF = False #### Create Output Report File #### fo = UTILS.openFile(self.outputReportFile, "w") #### Hold Results for Every Choose Combo #### self.resultDict = {} self.vifVarCount = COLL.defaultdict(int) self.model2Table = {} self.sumRuns = 0 self.sumGI = 0 self.boolGI = 0 self.boolResults = NUM.zeros(4, dtype = int) self.jbModels = [] self.jbValues = [] self.jbResiduals = NUM.empty((self.n, 3), dtype = float) self.perfectMultiWarnBool = False self.neighborWarn = False for choose in rangeCombos: #### Generate Index Combos #### comboGenerator = ITER.combinations(rangeVars, choose) #### Set Progressor #### message = ARCPY.GetIDMessage(84293).format(k-1, choose) ARCPY.SetProgressor("default", message) #### Set Result Structure #### rh = ResultHandler(self.independentVars, choose, self.ssdo, self.weightsMatrix, weightsType = self.weightsType, minR2 = self.minR2, maxCoef = self.maxCoef, maxVIF = self.maxVIF, minJB = self.minJB, minMI = self.minMI, silent = self.neighborWarn) #### Loop Through All Combinations #### modelCount = 0 emptyTabValues = [""] ( self.maxIndVars - choose ) perfectMultiModels = [] for combo in comboGenerator: #### Create Design Matrix for Given Combination #### columns = [0] + list(combo) comboX = self.x[0:,columns] #### Get Model Info for given Combination #### N, K = comboX.shape varNameList = [ self.independentVars[j-1] for j in combo ] varNameListInt = ["Intercept"] + varNameList modelAll = self.dependentVar + " ~ " modelAll += " + ".join(varNameListInt) modelID = str(K) + ":" + str(modelCount) #### Run Linear Regression #### runModel = self.calculate(comboX) #### Set Near/Perfect Multicoll Bool #### nearPerfectBool = False if K > 2 and runModel: nearPerfectBool = NUM.any(abs(self.vifVal) >= 1000) if (not runModel) or nearPerfectBool: #### Perfect Multicollinearity #### #### Unable to Invert the Matrix #### perfectMultiModels.append(modelAll) else: #### Keep Track of Total Number of Models Ran #### modelCount += 1 self.sumRuns += 1 residuals = self.residuals.flatten() #### Evaluate p-values #### if self.BPProb < .1: #### Use Robust Coefficients #### pValsOut = self.pValsRob[1:] else: pValsOut = self.pVals[1:] coefOut = self.coef[1:] #### Process Largest VIF Values #### if K > 2: for ind, varName in enumerate(varNameList): vif = self.vifVal[ind] previousVIF = self.globalVifVals[varName] if vif > previousVIF: self.globalVifVals[varName] = vif #### Set OLS Result #### res = OLSResult(modelID, varNameList, coefOut, pValsOut, self.vifVal, self.r2Adj, self.aicc, self.JBProb, self.BPProb, allMIPass = self.allMIPass) #### Evaluate Jarque-Bera Stat #### keep = self.pushPopJB(res, self.residuals.flatten()) boolReport = rh.evaluateResult(res, residuals, keep = keep) r2Bool, pvBool, vifBool, jbBool, giBool, keepBool = boolReport #### Add Booleans for End Total Summary #### boolResult = [r2Bool, pvBool, vifBool, jbBool] self.boolResults += boolResult #### Delete OLS Instance if Not Necessary For Summary #### if not keepBool: del res #### Run Moran's I for Highest Adj. R2 #### r2ResultList = rh.runR2Moran() self.neighborWarn = True #### Add Results to Report File #### result2Print = rh.report() UTILS.writeText(fo, result2Print) if len(perfectMultiModels): self.perfectMultiWarnBool = True ARCPY.AddIDMessage("WARNING", 1304) for modelStr in perfectMultiModels: ARCPY.AddIDMessage("WARNING", 1176, modelStr) #### Add Choose Run to Result Dictionary #### self.resultDict[choose] = rh #### Run Moran's I on Best Jarque-Bera #### self.createJBReport() #### Final Moran Stats #### self.getMoranStats() #### Ending Summary #### self.endSummary() UTILS.writeText(fo, self.fullReport) fo.close() def getMoranStats(self): self.sumMoranRuns = 0 self.sumMoranPass = 0 miValues = [] miModels = [] miSorted = NUM.array([(0.0, 0.0), (0.0, 0.0), (0.0, 0.0)], dtype = [('mi', float), ('r2', float)]) for resKey, resHandler in UTILS.iteritems(self.resultDict): for olsKey, olsRes in UTILS.iteritems(resHandler.olsResults): miValue = olsRes.miPVal if miValue is not None: numRes = len(miValues) if numRes < 3: miValues.append(miValue) miModels.append(olsRes) else: if numRes == 3: miSorted['mi'] = miValues miSorted['r2'] = [ ols.r2 for ols in miModels ] minIndex = miSorted.argsort(order = ('mi', 'r2'))[0] minValue = miValues[minIndex] valueSame = UTILS.compareFloat(minValue, miValue) update = False if valueSame: if olsRes.r2 > miModels[minIndex].r2: update = True else: if minValue < miValue: update = True if update: miValues[minIndex] = miValue miModels[minIndex] = olsRes miSorted['mi'][minIndex] = miValue miSorted['r2'][minIndex] = olsRes.r2 self.sumMoranRuns += 1 if miValue > self.minMI: self.sumMoranPass += 1 miOrder = list(miSorted.argsort(order = ('mi', 'r2'))) #miOrder = list(NUM.argsort(miValues)) miOrder.reverse() self.miReportRows = [] for miIndex in miOrder: try: miResult = miModels[miIndex] self.miReportRows.append(miResult.report(orderType = 2)) except: pass def createJBReport(self): self.jbReportRows = [] sortIndex = NUM.argsort(self.jbValues).tolist() sortIndex.reverse() for ind in sortIndex: olsRes = self.jbModels[ind] if olsRes.miPVal is None: if not self.allMIPass: residuals = self.jbResiduals[:,ind].flatten() mi = runMoransI(self.ssdo, residuals, self.weightsMatrix, weightsType = self.weightsType) miPVal = mi.pVal else: miPVal = 1.0 olsRes.setMoransI(miPVal) olsOut = olsRes.report(orderType = 1) self.jbReportRows.append(olsOut) def pushPopJB(self, olsRes, residuals): """Keeps track of the best (highest) Jarque-Bera p-values.""" lenRes = len(self.jbValues) keep = False if lenRes < 3: self.jbValues.append(self.JBProb) self.jbModels.append(olsRes) self.jbResiduals[:,lenRes] = residuals keep = True else: minIndex = NUM.argsort(self.jbValues)[0] minValue = self.jbValues[minIndex] if minValue < self.JBProb: self.jbValues[minIndex] = self.JBProb self.jbModels[minIndex] = olsRes self.jbResiduals[:,minIndex] = residuals keep = True return keep def endSummary(self): """Creates End Summary for Report File.""" #### Passing Model Global Summary #### passHeader = ARCPY.GetIDMessage(84294) emptyValue = ARCPY.GetIDMessage(84092) perfectMultiStr = ARCPY.GetIDMessage(84368) perfectInterStr = ARCPY.GetIDMessage(84369) perfectInterStr += " (%s)" % LOCALE.format("%0.2f", 100) passResults = [ [ARCPY.GetIDMessage(84295), ARCPY.GetIDMessage(84296), ARCPY.GetIDMessage(84297), ARCPY.GetIDMessage(84298), ARCPY.GetIDMessage(84299)] ] cutoffList = [ "> " + UTILS.formatValue(self.minR2, "%0.2f"), "< " + UTILS.formatValue(self.maxCoef, "%0.2f"), "< " + UTILS.formatValue(self.maxVIF, "%0.2f"), "> " + UTILS.formatValue(self.minJB, "%0.2f"), "> " + UTILS.formatValue(self.minMI, "%0.2f") ] categories = [ARCPY.GetIDMessage(84300), ARCPY.GetIDMessage(84301), ARCPY.GetIDMessage(84302), ARCPY.GetIDMessage(84303), ARCPY.GetIDMessage(84304)] boolPerc = [ returnPerc(i, self.sumRuns) for i in self.boolResults ] boolPerc.append( returnPerc(self.sumMoranPass, self.sumMoranRuns) ) boolOut = list(self.boolResults) + [self.sumMoranPass] sumOut = [ self.sumRuns for i in self.boolResults ] sumOut += [self.sumMoranRuns] for ind, category in enumerate(categories): outValue = LOCALE.format("%0.2f", boolPerc[ind]) outCutoff = cutoffList[ind] outTrial = sumOut[ind] outCount = boolOut[ind] passResults.append( [category, outCutoff, outTrial, outCount, outValue] ) self.passReport = UTILS.outputTextTable(passResults, header = passHeader, pad = 1, justify = "right") ##### Variable Significance and VIF Reports #### ##### Create Table Headers #### signHeader = ARCPY.GetIDMessage(84305) vifHeader = ARCPY.GetIDMessage(84306) #### Create Column Labels and Result Lists #### signColInfo = [ [ARCPY.GetIDMessage(84068), ARCPY.GetIDMessage(84307), ARCPY.GetIDMessage(84366), ARCPY.GetIDMessage(84367)] ] signResults = [] vifResults = [ [ARCPY.GetIDMessage(84068), ARCPY.GetIDMessage(84284), ARCPY.GetIDMessage(84308), ARCPY.GetIDMessage(84309)] ] ##### Get Covariate Total #### percVarRes = [] totalTogether = 0 for resultKey, result in UTILS.iteritems(self.resultDict): totalTogether += result.eachAppears ##### Populate Result Lists #### for ind, varName in enumerate(self.independentVars): totalNeg = 0 totalPos = 0 totalSign = 0 totalRan = 0 totalViolations = 0 totalCovariates = COLL.defaultdict(int) for resultKey, result in UTILS.iteritems(self.resultDict): #### Significance Results #### numRan, numSign = result.signDict[varName] totalSign += numSign totalRan += numRan numNeg, numPos = result.varSignDict[varName] totalNeg += numNeg totalPos += numPos #### VIF Results #### numViolate, covariates = result.vifDict[varName] totalViolations += numViolate for covariate in covariates: if covariate != varName: totalCovariates[covariate] += 1 #### Add Perfect Multicollinearity Results * #### successfulRun = totalRan > 0 #### Complete Significance Row #### if successfulRun: percentSign = ((totalSign * 1.0) / totalRan) * 100.0 percentNeg = ((totalNeg * 1.0) / totalRan) * 100.0 percentPos = ((totalPos * 1.0) / totalRan) * 100.0 rowRes = [varName, LOCALE.format("%0.2f", percentSign), LOCALE.format("%0.2f", percentNeg), LOCALE.format("%0.2f", percentPos)] else: percentSign = -1.0 rowRes = [varName, emptyValue, emptyValue, emptyValue] ind2Insert = None if len(percVarRes): for ind, percVal in enumerate(percVarRes): if percVal < percentSign: ind2Insert = ind break if ind2Insert is None: percVarRes.append(percentSign) signResults.append(rowRes) else: percVarRes.insert(ind2Insert, percentSign) signResults.insert(ind2Insert, rowRes) #### Complete VIF Row #### if successfulRun: if self.printVIF: globalVIF = self.globalVifVals[varName] if abs(globalVIF) >= 1000: globalVIFOut = "> " + LOCALE.format("%0.2f", 1000.) else: globalVIFOut = LOCALE.format("%0.2f", globalVIF) else: globalVIFOut = emptyValue coString = [] sortedCovariates = sorted(UTILS.iteritems(totalCovariates), key=OP.itemgetter(1), reverse=True) for covariate, totalTimes in sortedCovariates: tRatio = (totalTimes/totalTogether) * 100 tRatio = LOCALE.format("%0.2f", tRatio) coString.append(covariate + " (" + str(tRatio) + ")") if len(coString): coString = ", ".join(coString) else: coString = emptyValue vifRes = [varName, globalVIFOut, "%i" % totalViolations, coString] else: vifRes = [varName, emptyValue, perfectMultiStr, perfectInterStr] vifResults.append(vifRes) #### Create Report Tables #### signResults = signColInfo + signResults self.signReport = UTILS.outputTextTable(signResults, header = signHeader, justify = ["left", "right", "right", "right"], pad = 1) if self.perfectMultiWarnBool: vifHeader += ARCPY.GetIDMessage(84111) self.vifReport = UTILS.outputTextTable(vifResults, header = vifHeader, justify = ["left", "right", "center", "left"], pad = 1) #### Add Perfect Multi Warning #### if self.perfectMultiWarnBool: msg = ARCPY.GetIDMessage(84409) + "\n" + ARCPY.GetIDMessage(84410) self.vifReport += msg ##### Residual Normality Summary #### jbHeader = ARCPY.GetIDMessage(84310) jbResults = [ [ARCPY.GetIDMessage(84042), ARCPY.GetIDMessage(84021), ARCPY.GetIDMessage(84249), ARCPY.GetIDMessage(84036), ARCPY.GetIDMessage(84284), ARCPY.GetIDMessage(84292), ARCPY.GetIDMessage(84286)] ] jbResults += self.jbReportRows self.jbReport = UTILS.outputTextTable(jbResults, header = jbHeader, pad = 1, justify = masterJustify) ##### Residual Autocorrelation #### if not self.allMIPass: miHeader = ARCPY.GetIDMessage(84311) miResults = [ [ARCPY.GetIDMessage(84292), ARCPY.GetIDMessage(84021), ARCPY.GetIDMessage(84249), ARCPY.GetIDMessage(84042), ARCPY.GetIDMessage(84036), ARCPY.GetIDMessage(84284), ARCPY.GetIDMessage(84286)] ] miResults += self.miReportRows justify = ["right"] * 6 + ["left"] self.miReport = UTILS.outputTextTable(miResults, header = miHeader, pad = 1, justify = masterJustify) else: self.miReport = "\n" + ARCPY.GetIDMessage(84311) self.miReport += " (" + ARCPY.GetIDMessage(84500) + ")\n" #### Significance Locale String #### decimalSep = UTILS.returnDecimalChar() modelString2 = ARCPY.GetIDMessage(84314) if decimalSep == ".": numSep = "," else: numSep = ";" modelString2 = modelString2.format(LOCALE.format("%0.2f", .1), numSep, LOCALE.format("%0.2f", .05), LOCALE.format("%0.2f", .01)) ##### Abbreviation Table #### modelStrip = ARCPY.GetIDMessage(84286).strip() abbHeader = ARCPY.GetIDMessage(84312) modelString1 = ARCPY.GetIDMessage(84313) abbResults = [ [ARCPY.GetIDMessage(84021),ARCPY.GetIDMessage(84315)], [ARCPY.GetIDMessage(84249),ARCPY.GetIDMessage(84316)], [ARCPY.GetIDMessage(84042),ARCPY.GetIDMessage(84317)], [ARCPY.GetIDMessage(84036),ARCPY.GetIDMessage(84318)], [ARCPY.GetIDMessage(84284),ARCPY.GetIDMessage(84319)], [ARCPY.GetIDMessage(84292),ARCPY.GetIDMessage(84320)], [modelStrip, modelString1], [modelStrip, modelString2]] self.abbReport = UTILS.outputTextTable(abbResults) self.abbReport = "\n" + abbHeader + "\n" + self.abbReport + "\n" ##### Display Tables #### starMess = "" 78 dashMess = "-" * 78 ARCPY.AddMessage(starMess) globalHeader = ARCPY.GetIDMessage(84321) globalHeader = globalHeader.format(self.dependentVar) globalHeader = globalHeader.center(78, "") ARCPY.AddMessage(globalHeader) ARCPY.AddMessage(self.passReport) ARCPY.AddMessage(dashMess) ARCPY.AddMessage(self.signReport) ARCPY.AddMessage(dashMess) ARCPY.AddMessage(self.vifReport) ARCPY.AddMessage(dashMess) ARCPY.AddMessage(self.jbReport) ARCPY.AddMessage(dashMess) ARCPY.AddMessage(self.miReport) ARCPY.AddMessage(dashMess) ARCPY.AddMessage(self.abbReport) ARCPY.AddMessage(dashMess) self.fullReport = [starMess, globalHeader, self.passReport, dashMess, self.signReport, dashMess, self.vifReport, dashMess, self.jbReport, dashMess, self.miReport, dashMess, self.abbReport, dashMess] self.fullReport = "\n".join(self.fullReport) def calculate(self, comboX): """Performs OLS and related diagnostics.""" #### Shorthand Attributes #### ssdo = self.ssdo x = comboX n, k = NUM.shape(comboX) y = self.y #### General Information #### fn = n 1.0 dof = n - k fdof = dof * 1.0 xt = x.T yt = y.T xx = NUM.dot(xt, x) #### Check for Perfect Multicollinearity #### U, s, V = LA.svd(xx) if UTILS.compareFloat(0.0, s[-1]): return False #### Attempt to Invert Design Matrix #### try: xxi = LA.inv(xx) except: #### Perfect multicollinearity, cannot proceed #### return False #### Bad Probabilities - Near Multicollinearity #### badProbs = False #### Compute Coefficients #### xy = NUM.dot(xt, y) coef = NUM.dot(xxi, xy) #### Residuals, Sum Of Squares, R2, Etc. #### yHat = NUM.dot(x, coef) yBar = (y.sum())/fn e = y - yHat ess = ( NUM.dot(e.T, e) )[0][0] s2 = (ess / fdof) s2mle = (ess / fn) seResiduals = NUM.sqrt(s2) ss = y - yBar tss = ( NUM.dot(ss.T, ss) )[0][0] r2 = 1.0 - (ess/tss) r2Adj = 1.0 - ( (ess / (fdof)) / (tss / (fn-1)) ) u2 = e * e #### Variance-Covariance for Coefficients #### varBeta = xxi * s2 #### Standard Errors / t-Statistics #### seBeta = NUM.sqrt(varBeta.diagonal()) tStat = (coef.T / seBeta).flatten() #### White's Robust Standard Errors #### dofScale = (int( n / (n - k) )) * 1.0 sHat = NUM.dot((u2 * x).T, x) * dofScale varBetaRob = NUM.dot(NUM.dot(xxi, sHat), xxi) seBetaRob = NUM.sqrt(varBetaRob.diagonal()) tStatRob = (coef.T / seBetaRob).flatten() #### DOF Warning Once for t-Stats #### silentVector = [ True for i in range(k) ] if (2 <= dof <= 4) and not self.warnedTProb: silentVector[0] = False self.warnedTProb = True #### Coefficient t-Tests #### pVals = [] pValsRob = [] for varInd in UTILS.ssRange(k): #### General #### try: p = STATS.tProb(tStat[varInd], dof, type = 2, silent = silentVector[varInd]) except: p = NUM.nan badProbs = True pVals.append(p) #### Robust #### try: p = STATS.tProb(tStatRob[varInd], dof, type = 2, silent = True) except: p = NUM.nan badProbs = True pValsRob.append(p) #### Jarque-Bera Test For Normality of the Residuals #### muE = (e.sum()) / fn devE = e - muE u3 = (devE3.0).sum() / fn u4 = (devE4.0).sum() / fn denomS = s2mle1.5 denomK = s2mle2.0 skew = u3 / denomS kurt = u4 / denomK self.JB = (n/6.) * ( skew2. + ( (kurt - 3.)2. / 4. )) if self.JB >= 0.0: self.JBProb = STATS.chiProb(self.JB, 2, type = 1) else: self.JBProb = NUM.nan badProbs = True #### Breusch-Pagan Test for Heteroskedasticity #### u2y = NUM.dot(xt, u2) bpCoef = NUM.dot(xxi, u2y) u2Hat = NUM.dot(x, bpCoef) eU = u2 - u2Hat essU = NUM.dot(eU.T, eU) u2Bar = (u2.sum()) / fn ssU = u2 - u2Bar tssU = NUM.dot(ssU.T, ssU) r2U = 1.0 - (essU/tssU) self.BP = (fn * r2U)[0][0] if self.BP >= 0.0: self.BPProb = STATS.chiProb(self.BP, (k-1), type = 1) else: self.BPProb = NUM.nan badProbs = True #### Classic Joint-Hypothesis F-Test #### q = k - 1 fq = q * 1.0 self.fStat = (r2/fq) / ((1 - r2) / (fn - k)) try: self.fProb = abs(STATS.fProb(self.fStat, q, (n-k), type = 1)) except: self.fProb = NUM.nan badProbs = True #### Wald Robust Joint Hypothesis Test #### R = NUM.zeros((q,k)) R[0:,1:] = NUM.eye(q) Rb = NUM.dot(R, coef) try: invRbR = LA.inv( NUM.dot(NUM.dot(R, varBetaRob), R.T) ) except: #### Perfect multicollinearity, cannot proceed #### return False self.waldStat = ( NUM.dot(NUM.dot(Rb.T, invRbR), Rb) )[0][0] if self.waldStat >= 0.0: self.waldProb = STATS.chiProb(self.waldStat, q, type = 1) else: self.waldProb = NUM.nan badProbs = True #### Log-Likelihood #### self.logLik = -(n / 2.) * (1. + NUM.log(2. * NUM.pi)) - \ (n / 2.) * NUM.log(s2mle) #### AIC/AICc #### k1 = k + 1 self.aic = -2. * self.logLik + 2. * k1 self.aicc = -2. * self.logLik + 2. * k1 * (fn / (fn - k1 - 1)) #### Calculate the Variance Inflation Factor #### if k <= 2: self.vifVal = ARCPY.GetIDMessage(84090) self.vif = False else: xTemp = xt[1:] corX = NUM.corrcoef(xTemp) try: ic = LA.inv(corX) self.vifVal = abs(ic.diagonal()) self.vifVal[self.vifVal >= 1000] = 1000 self.vif = True except: #### Perfect multicollinearity, cannot proceed #### return False #### Set Attributes #### self.dof = dof self.coef = coef self.yHat = yHat self.yBar = yBar self.residuals = e self.seResiduals = seResiduals self.stdRedisuals = e / self.seResiduals self.ess = ess self.tss = tss self.varCoef = varBeta self.seCoef = seBeta self.tStats = tStat self.pVals = pVals self.varCoefRob = varBetaRob self.seCoefRob = seBetaRob self.tStatsRob = tStatRob self.pValsRob = pValsRob self.r2 = r2 self.r2Adj = r2Adj self.s2 = s2 self.s2mle = s2mle self.q = q self.badProbs = badProbs self.varLabels = [ARCPY.GetIDMessage(84064)] + self.independentVars return True if __name__ == '__main__': er = runExploratoryRegression()
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class OpenpmdApi(CMakePackage): """API for easy reading and writing of openPMD files""" homepage = "http://www.openPMD.org" git = "https://github.com/openPMD/openPMD-api.git" maintainers = ['ax3l'] version('dev', branch='dev') version('0.12.0', tag='0.12.0-alpha') version('0.11.1', tag='0.11.1-alpha') version('0.11.0', tag='0.11.0-alpha') version('0.10.3', tag='0.10.3-alpha') version('0.10.2', tag='0.10.2-alpha') version('0.10.1', tag='0.10.1-alpha') version('0.10.0', tag='0.10.0-alpha') variant('shared', default=True, description='Build a shared version of the library') variant('mpi', default=True, description='Enable parallel I/O') variant('hdf5', default=True, description='Enable HDF5 support') variant('adios1', default=False, description='Enable ADIOS1 support') variant('adios2', default=True, description='Enable ADIOS2 support') variant('python', default=False, description='Enable Python bindings') depends_on('cmake@3.12.0:', type='build') depends_on('mpark-variant@1.4.0:') depends_on('catch2@2.6.1:', type='test') depends_on('mpi@2.3:', when='+mpi') # might become MPI 3.0+ depends_on('hdf5@1.8.13:', when='+hdf5') depends_on('hdf5@1.8.13: ~mpi', when='~mpi +hdf5') depends_on('hdf5@1.8.13: +mpi', when='+mpi +hdf5') depends_on('adios@1.13.1: ~sz', when='+adios1') depends_on('adios@1.13.1: ~mpi ~sz', when='~mpi +adios1') depends_on('adios@1.13.1: +mpi ~sz', when='+mpi +adios1') depends_on('adios2@2.5.0:', when='+adios2') depends_on('adios2@2.6.0:', when='+adios2 @0.12.0:') depends_on('adios2@2.5.0: ~mpi', when='~mpi +adios2') depends_on('adios2@2.5.0: +mpi', when='+mpi +adios2') depends_on('nlohmann-json@3.7.0:') depends_on('py-pybind11@2.3.0:', when='+python', type='link') depends_on('py-numpy@1.15.1:', when='+python', type=['test', 'run']) depends_on('py-mpi4py@2.1.0:', when='+python +mpi', type=['test', 'run']) depends_on('python@3.5:', when='+python', type=['link', 'test', 'run']) extends('python', when='+python') # Fix breaking HDF5 1.12.0 API # https://github.com/openPMD/openPMD-api/pull/696 patch('hdf5-1.12.0.patch', when='@:0.11.0 +hdf5') def cmake_args(self): spec = self.spec args = [ '-DBUILD_SHARED_LIBS:BOOL={0}'.format( 'ON' if '+shared' in spec else 'OFF'), # variants '-DopenPMD_USE_MPI:BOOL={0}'.format( 'ON' if '+mpi' in spec else 'OFF'), '-DopenPMD_USE_HDF5:BOOL={0}'.format( 'ON' if '+hdf5' in spec else 'OFF'), '-DopenPMD_USE_ADIOS1:BOOL={0}'.format( 'ON' if '+adios1' in spec else 'OFF'), '-DopenPMD_USE_ADIOS2:BOOL={0}'.format( 'ON' if '+adios2' in spec else 'OFF'), '-DopenPMD_USE_PYTHON:BOOL={0}'.format( 'ON' if '+python' in spec else 'OFF'), # tests and examples '-DBUILD_TESTING:BOOL={0}'.format( 'ON' if self.run_tests else 'OFF'), '-DBUILD_EXAMPLES:BOOL={0}'.format( 'ON' if self.run_tests else 'OFF'), ] # switch internally shipped third-party libraries for spack if spec.satisfies('+python'): args.append('-DopenPMD_USE_INTERNAL_PYBIND11:BOOL=OFF') args.append('-DPYTHON_EXECUTABLE:FILEPATH={0}'.format( self.spec['python'].command.path)) args.extend([ '-DopenPMD_USE_INTERNAL_JSON:BOOL=OFF', '-DopenPMD_USE_INTERNAL_VARIANT:BOOL=OFF' ]) if self.run_tests: args.append('-DopenPMD_USE_INTERNAL_CATCH:BOOL=OFF') return args def setup_run_environment(self, env): spec = self.spec # pre-load dependent CMake-PUBLIC header-only libs env.prepend_path('CMAKE_PREFIX_PATH', spec['mpark-variant'].prefix) env.prepend_path('CPATH', spec['mpark-variant'].prefix.include) # more deps searched in openPMDConfig.cmake if spec.satisfies("+mpi"): env.prepend_path('CMAKE_PREFIX_PATH', spec['mpi'].prefix) if spec.satisfies("+adios1"): env.prepend_path('CMAKE_PREFIX_PATH', spec['adios'].prefix) env.prepend_path('PATH', spec['adios'].prefix.bin) # adios-config if spec.satisfies("+adios2"): env.prepend_path('CMAKE_PREFIX_PATH', spec['adios2'].prefix) if spec.satisfies("+hdf5"): env.prepend_path('CMAKE_PREFIX_PATH', spec['hdf5'].prefix) def setup_dependent_build_environment(self, env, dependent_spec): # pre-load dependent CMake-PUBLIC header-only libs env.prepend_path('CMAKE_PREFIX_PATH', self.spec['mpark-variant'].prefix) env.prepend_path('CPATH', self.spec['mpark-variant'].prefix.include)
import rospy # time evaluation import time from sensor_msgs.msg import JointState, PointCloud from geometry_msgs.msg import Polygon, Point32, PolygonStamped from jsk_recognition_msgs.msg import PolygonArray from std_msgs.msg import Header,Float64 from visualization_msgs.msg import Marker import tf import numpy as np def create_vertex_msg(force_vertex, pose, frame, scaling_factor = 500): pointcloud_massage = PointCloud() for i in range(force_vertex.shape[1]): point = Point32() point.x = force_vertex[0,i]/scaling_factor + pose[0] point.y = force_vertex[1,i]/scaling_factor + pose[1] point.z = force_vertex[2,i]/scaling_factor + pose[2] pointcloud_massage.points.append(point) # polytop stamped message pointcloud_massage.header = Header() pointcloud_massage.header.frame_id = frame pointcloud_massage.header.stamp = rospy.Time.now() return pointcloud_massage def create_polytopes_msg(force_polytopes, pose, frame, scaling_factor = 500): polygonarray_message = PolygonArray() polygonarray_message.header = Header() polygonarray_message.header.frame_id = frame polygonarray_message.header.stamp = rospy.Time.now() for face_polygon in force_polytopes: polygon_massage = Polygon() for i in range(face_polygon.shape[1]): point = Point32() point.x = face_polygon[0,i]/scaling_factor + pose[0] point.y = face_polygon[1,i]/scaling_factor + pose[1] point.z = face_polygon[2,i]/scaling_factor + pose[2] polygon_massage.points.append(point) # polytope stamped message polygon_stamped = PolygonStamped() polygon_stamped.polygon = polygon_massage polygon_stamped.header = Header() polygon_stamped.header.frame_id = frame polygon_stamped.header.stamp = rospy.Time.now() polygonarray_message.polygons.append(polygon_stamped) polygonarray_message.likelihood.append(1.0) return polygonarray_message def create_ellipsoid_msg(S, U, pose, frame, scaling_factor = 500): # calculate rotation matrix Rot_f = np.identity(4) Rot_f[0:3,0:3] = U marker = Marker() marker.header.frame_id = frame marker.pose.position.x = pose[0] marker.pose.position.y = pose[1] marker.pose.position.z = pose[2] quaternion = tf.transformations.quaternion_from_matrix( Rot_f ) #type(pose) = geometry_msgs.msg.Pose marker.pose.orientation.x = quaternion[0] marker.pose.orientation.y = quaternion[1] marker.pose.orientation.z = quaternion[2] marker.pose.orientation.w = quaternion[3] marker.type = marker.SPHERE marker.color.g = 0.7 marker.color.r = 1.0 marker.color.a = 0.5 marker.scale.x = 2S[0]/scaling_factor marker.scale.y = 2S[1]/scaling_factor marker.scale.z = 2*S[2]/scaling_factor return marker # definition of the four_link_solver module if __name__ == '__main__': capacity_visual_utils()
""" 14. 最长公共前缀 https://leetcode-cn.com/problems/longest-common-prefix/ """ def longestCommonPrefix(strs): if not strs: return "" def findPrefix(p, s): length, i = min(len(p), len(s)), 0 while i < length: if p[i] == s[i]: i += 1 else: break return p[:i] prefix = strs[0] for v in strs[1:]: prefix = findPrefix(prefix, v) if not prefix: return "" return prefix print(longestCommonPrefix(["flower","flow","flight"]))
import mysql.connector #连接数据库 # 获取操作游标 #创建数据库表 #存储过程 #关闭数据库 # mydb = mysql.connector.connect(host="localhost",user="root",password="gziscas",database="mydatabase",charset='utf8') # mycursor = mydb.cursor() # # 如果数据表已经存在使用 execute() 方法删除表。 # #mycursor.execute("DROP TABLE IF EXISTS EMPLOYEE") # # 创建数据表SQL语句 def createDatabase(): mydb = mysql.connector.connect(host="localhost",user="root",password="password",database="oneplum",charset="utf8") mycursor = mydb.cursor() sql = """CREATE TABLE test_one( id int (11) PRIMARY KEY AUTO_INCREMENT, date_time char(20) NOT NULL, rank_code char(20) NOT NULL) ENGINE=InnoDB DEFAULT CHARSET=utf8""" mycursor.execute(sql) mycursor.close() #连接数据库 #获取游标 #插入数据 #发送数据 #关闭数据 def addDatabase(value_date, value_rank): mydb = mysql.connector.connect(host="localhost",user="root",password="password",database="oneplum",charset="utf8") mycursor = mydb.cursor() sql = "insert into test_one(date_time,rank_code)values('%s','%s')"%(value_date,value_rank) try: # 执行sql语句 mycursor.execute(sql) # 提交到数据库执行 mydb.commit() print("success") except: mydb.rollback() print("error") mycursor.execute(sql) mydb.close() #链接数据库 #找游标 #写数据库要干嘛、 #try， #连接游标 #关闭数据库 #删除数据库 def deleteDatabase(): mydb = mysql.connector.connect(host="192.168.229.136",user="root",password="password",database="oneplum",charset="utf8") mycursor = mydb.cursor() sql = "delete from test_one where id = 1 " try: #执行sql语句 mycursor.execute(sql) #提交到数据库执行 mydb.commit() print("success") except: mydb.rollback() print("error") #mycursor.execute(sql) mydb.close() #deleteDatabase() #连接数据库，通过定义一个变量来连接到数据库 #获取数据库游标 #编写数据库要执行的命令 #try #用获取到的游标q启动数据库 #关闭数据库 import time def updateDatabase(value3,value4,ids): mydb = mysql.connector.connect(host="localhost",user="root",password="password",database="oneplum",charset="utf8") mycursor = mydb.cursor() # sql = "update test_one set(date_time ,rank_code)values('%s','%s',) "%(value3,value4) where id='%d'%('ids') sql = "update test_one set date_time = '%s', rank_code = '%s' where id='%d'"%(value3,value4,ids) #sql = "UPDATE EMPLOYEE SET AGE = AGE + 1 WHERE SEX = '%c'" % ('M') #sql = "insert into test_one(date_time,rank_code)values('%s','%s')"%(value_date,value_rank) try: #执行sql语句 mycursor.execute(sql) #提交到数据库执行 mydb.commit() print("success!") except: mydb.rollback() print("error") #mycursor.execute(sql) mydb.close() value1 = "sadf23" value2="dshgj" #addDatabase(value1,value2) value3="xiaoming" value4="xiaomei" id=4 #updateDatabase(value3,value4,id) #连接数据库 #获取数据库游标 #编写数据 #try #关闭数据库 def selectDatabase(): mydb = mysql.connector.connect(host="localhost",user="root",password="password",database="oneplum",charset="utf8") mycursor = mydb.cursor() sql = "select * from test_one" try: #执行sql语句 mycursor.execute(sql) #获取所有记录表 results = mycursor.fetchall() #打印结果 for row in results: id = row[0] date_time = row[1] rank_code = row[2] #打印结果 #print ("id=%d,date_time=%s,rank_code=%s" % (id,date_time,rank_code)) #美观一些 print(id,date_time,rank_code) print("success!!!!!!!") except: mydb.rollback() print("error") #mycursor.execute(sql) mydb.close() selectDatabase() ide ="id" values5 = "date_time" values6 = "rank_code" print(ide,values5,values6)
import sys def getWays(squares, d, m): # Complete this function cumSum = [0] for val in squares: cumSum.append(cumSum[-1] + val) #print(cumSum) count = 0 for i in range(1, len(cumSum) - m + 1): sumVal = cumSum[i + m - 1] - cumSum[i -1] #print(sumVal) if(sumVal == d): count +=1 return count n = int(input().strip()) s = list(map(int, input().strip().split(' '))) d,m = input().strip().split(' ') d,m = [int(d),int(m)] result = getWays(s, d, m) print(result)
""" metric_tree.py This file uses sklearn trees generally used for KNN calculation as an approximate metric tree for wasserstein distance. Further extensions are quadtree, and one based on hierarchical clustering. The idea is to use the tree with edge lengths as the (L2) distance between means. The distance between any two points embedded in this tree is then the geodesic distance along the tree. Note that this is an offline algorithm, we do not support adding points after the initial construction. """ import numpy as np from sklearn.base import BaseEstimator from sklearn.utils.validation import check_X_y, check_is_fitted from sklearn.neighbors import KDTree, BallTree, DistanceMetric from sklearn.cluster import MiniBatchKMeans from scipy.sparse import coo_matrix class QuadTree(object): """ This quadtree could be sped up, but is an easy implementation """ def __init__(self, X, n_levels=25, noise=1.0, args, kwargs): assert np.all(np.min(X, axis=0) >= 0) assert np.all(np.max(X, axis=0) <= 1) assert n_levels >= 1 self.kwargs = kwargs self.X = X self.noise = noise # self.X = self.X + np.random.randn(self.X.shape) * noise self.dims = X.shape[1] self.n_clusters = 2 ** self.dims self.n_levels = n_levels center = np.random.rand(self.dims) * noise self.tree, self.indices, self.centers, self.dists = self._cluster( center, np.arange(X.shape[0]), n_levels=self.n_levels - 1, start=0 ) self.tree = [(0, self.X.shape[0], n_levels, 0), self.tree] self.dists = np.array([0, self.dists]) self.centers = [center, self.centers] self.centers = np.array(self.centers) def _cluster(self, center, index, n_levels, start): """ Parameters ---------- bounds: [2 x D] matrix giving min / max of bounding box for this cluster """ if n_levels == 0 or len(index) == 0: return None labels = np.ones_like(index) -1 dim_masks = np.array([self.X[index, d] > center[d] for d in range(self.dims)]) import itertools bin_masks = np.array(list(itertools.product([False, True], repeat=self.dims))) label_masks = np.all(bin_masks[..., None] == dim_masks[None, ...], axis=1) for i, mask in enumerate(label_masks): labels[mask] = i assert np.all(labels > -1) shift = 2 ** -(self.n_levels - n_levels + 2) shifts = np.array(list(itertools.product([-shift, shift], repeat=self.dims))) cluster_centers = shifts + center sorted_index = [] children = [] ccenters = [] cdists = [] is_leaf = [0] * self.n_clusters unique, ucounts = np.unique(labels, return_counts=True) counts = np.zeros(self.n_clusters, dtype=np.int32) for u, c in zip(unique, ucounts): counts[u] = c cstart = 0 for i, count, ccenter in zip(unique, counts, cluster_centers): ret = self._cluster( ccenter, index[labels == i], n_levels - 1, start + cstart ) if ret is None: sorted_index.extend(index[labels == i]) is_leaf[i] = 1 continue sorted_index.extend(ret[1]) children.extend(ret[0]) ccenters.extend(ret[2]) cdists.extend(ret[3]) cstart += count to_return = list( zip( [ np.array([0, np.cumsum(counts)]) + start, np.cumsum(counts) + start, [n_levels] * self.n_clusters, is_leaf, ] ) ) dists = np.linalg.norm(cluster_centers - center[None, :], axis=1) return ( [to_return, children], sorted_index, [cluster_centers, ccenters], [dists, cdists], ) def get_arrays(self): return None, self.indices, self.tree, self.centers, self.dists class ClusterTree(object): def __init__(self, X, n_clusters=10, n_levels=5, args, kwargs): self.X = X self.n_clusters = n_clusters self.n_levels = n_levels center = self.X.mean(axis=0) self.tree, self.indices, self.centers, self.dists = self._cluster( center, np.arange(X.shape[0]), n_levels=self.n_levels - 1, start=0 ) self.tree = [(0, self.X.shape[0], n_levels, n_levels == 1), self.tree] self.centers = [center, self.centers] self.dists = np.array([0, self.dists]) self.centers = np.array(self.centers) def _cluster(self, center, index, n_levels, start): """ Returns a list of tuples corresponding to each subnode of the tree (center, level, start, end, is_leaf), sorted_index center is the cluster center level is the level of the node counting the root as the zeroth level sorted_index is athe list of """ if n_levels == 0 or len(index) < self.n_clusters: return None cl = MiniBatchKMeans(n_clusters=self.n_clusters) cl.fit(self.X[index]) sorted_index = [] children = [] ccenters = [] cdists = [] is_leaf = [0] * self.n_clusters unique, ucounts = np.unique(cl.labels_, return_counts=True) counts = np.zeros(self.n_clusters, dtype=np.int32) for u, c in zip(unique, ucounts): counts[u] = c cstart = 0 for i, count in zip(unique, counts): ret = self._cluster( cl.cluster_centers_[i], index[cl.labels_ == i], n_levels - 1, start + cstart, ) if ret is None: sorted_index.extend(index[cl.labels_ == i]) is_leaf[i] = 1 continue sorted_index.extend(ret[1]) children.extend(ret[0]) ccenters.extend(ret[2]) cdists.extend(ret[3]) cstart += count to_return = list( zip( [ np.array([0, np.cumsum(counts)]) + start, np.cumsum(counts) + start, [n_levels] * self.n_clusters, is_leaf, ] ) ) dists = np.linalg.norm(cl.cluster_centers_ - center[None, :], axis=1) return ( [to_return, children], sorted_index, [cl.cluster_centers_, ccenters], [dists, cdists], ) def get_arrays(self): return None, self.indices, self.tree, self.centers, self.dists class MetricTree(BaseEstimator): def __init__(self, tree_type="ball", leaf_size=40, metric="euclidean", kwargs): self.tree_type = tree_type if tree_type == "ball": self.tree_cls = BallTree elif tree_type == "kd": self.tree_cls = KDTree elif tree_type == "cluster": self.tree_cls = ClusterTree elif tree_type == "quad": self.tree_cls = QuadTree else: raise NotImplementedError("Unknown tree type") self.kwargs = kwargs self.leaf_size = leaf_size self.metric = metric self.dist_fn = DistanceMetric.get_metric(metric) def get_node_weights(self): """ Takes the middle of the bounds as the node center for each node TODO (alex): This could be improved or at least experimented with """ node_weights = self.tree.get_arrays()[-1] if self.tree_type == "ball": centers = node_weights[0] n = centers.shape[0] # Subtracts the child from the parent relying on the order of nodes in the tree lengths = np.linalg.norm( centers[np.insert(np.arange(n - 1) // 2, 0, 0)] - centers[np.arange(n)], axis=1, ) return lengths elif self.tree_type == "kd": # Averages the two boundaries of the KD box centers = node_weights.mean(axis=0) n = centers.shape[0] # Subtracts the child from the parent relying on the order of nodes in the tree lengths = np.linalg.norm( centers[np.insert(np.arange(n - 1) // 2, 0, 0)] - centers[np.arange(n)], axis=1, ) return lengths elif self.tree_type == "cluster": return node_weights elif self.tree_type == "quad": return node_weights else: raise NotImplementedError("Unknown tree type") def fit_transform(self, X, y): """ X is data array (np array) y is one-hot encoded distribution index (np array of size # points x # distributions. """ X, y = check_X_y(X, y, accept_sparse=True, multi_output=True) self.classes_ = y.shape[1] # unique_labels(y) self.X_ = X self.y_ = y self.tree = self.tree_cls( X, leaf_size=self.leaf_size, metric=self.metric, self.kwargs ) tree_indices = self.tree.get_arrays()[1] node_data = self.tree.get_arrays()[2] y_indices = y[tree_indices] # reorders point labels by tree order. self.edge_weights = self.get_node_weights() counts = np.empty((len(node_data), y.shape[1])) for node_idx in reversed(range(len(node_data))): start, end, is_leaf, radius = node_data[node_idx] # Find the number of points present in this range from each distribution counts[node_idx] = np.sum( y_indices[start:end], axis=0 ) # as y is a one-hot encoding, we just need to sum over the relevant bits. if np.issubdtype(y.dtype, np.floating): # if is floating then don't worry about the logic below self.counts_mtx = coo_matrix(counts).T return self.counts_mtx, self.edge_weights # convert to COO format dim = (self.classes_, len(node_data)) dist_list = np.arange(1, self.classes_ + 1) self.counts_mtx = coo_matrix(dim, dtype=np.int32) for i, count in enumerate(counts): if np.sum(count) == 0: # if no classes have signals in this region continue # get the signals with nonzero representation in the region # count is a list of the representation per distribution. # count_copy is used to eliminate distributions without representation count_copy = count.copy() count_copy[count_copy > 0] = 1 dists_represented = np.multiply(dist_list, count_copy) j_list = ( dists_represented[dists_represented != 0] - 1 ) # we added 1 to the distribution numbers to do the zero trick. val_list = count[count != 0] i_list = [i] * len(j_list) self.counts_mtx += coo_matrix( (val_list, (j_list, i_list)), shape=dim, dtype=np.int32 ) return self.counts_mtx, self.edge_weights def transform(self, X): """ Transforms datasets y to (L1) vector space. Returns vectors representing edge weights and weights over vector. """ check_is_fitted(self, "X_") if X != self.X_: raise ValueError("X transformed must equal fitted X") if __name__ == "__main__": mt = MetricTree(tree_type="cluster") gt = np.repeat(np.arange(10), 100) gt = ( (np.repeat(np.arange(max(gt) + 1)[:, None], len(gt), axis=1) == gt) .astype(int) .T ) counts, edge_weights = mt.fit_transform(X=np.random.random_sample((1000, 3)), y=gt) print(counts, edge_weights) print(counts.toarray()[:50])
from django.core.mail import EmailMultiAlternatives from django.http import JsonResponse from django.template.loader import render_to_string from django.utils.decorators import method_decorator from django.views.decorators.csrf import csrf_exempt from django.views.generic import CreateView from management.models import Feedback from sky_storage.settings import HOST, EMAIL_HOST_USER @method_decorator(csrf_exempt, name='dispatch') class AjaxFeedbackCreateView(CreateView): model = Feedback success_url = '/' fields = ('email', 'phone', 'name', 'message') def form_invalid(self, form): super().form_invalid(form) return JsonResponse(form.errors, status=400) def form_valid(self, form): super().form_valid(form) # todo use send email self.send_email() return JsonResponse({ 'pk': self.object.pk, }) def send_email(self): # todo write and use # send email using the self.cleaned_data dictionary form_kwargs = self.get_form_kwargs()["data"] context = { 'host': HOST, 'name': form_kwargs.get("name"), 'email': form_kwargs.get("email"), 'message': form_kwargs.get("message"), 'phone': form_kwargs.get("phone"), } text_content = f'Feedback from: {form_kwargs.get("name")}, with email: {form_kwargs.get("email")},' \ f' his message is: {form_kwargs.get("message")},and his phone number are:' \ f' {form_kwargs.get("phone")}' html_content = render_to_string('emails/feedback.html', context) msg = EmailMultiAlternatives('Feedback', text_content, f'{form_kwargs.get("name")}', [EMAIL_HOST_USER]) # msg.attach_alternative(html_content, "text/html") msg.send()
from bson import ObjectId class PymongoExecutor: def __init__(self, db): self.db = db def execute(self, expression): return eval(expression)
from .steps import AppsFlyerEventsStep from .steps import DestinationType THIRD_PARTY_STEPS = [AppsFlyerEventsStep]
import FWCore.ParameterSet.Config as cms from DQMOffline.Trigger.SiPixel_OfflineMonitoring_Cluster_cff import * from DQMOffline.Trigger.SiPixel_OfflineMonitoring_TrackCluster_cff import * from DQM.HLTEvF.dqmCorrelationClient_cfi import * pixelClusterVsLumi = dqmCorrelationClient.clone( me = cms.PSet( folder = cms.string("HLT/Pixel/"), name = cms.string("num_clusters_per_instLumi"), doXaxis = cms.bool( True ), nbinsX = cms.int32( 40 ), xminX = cms.double( 0.), xmaxX = cms.double(20000.), # doYaxis = cms.bool( False ), doYaxis = cms.bool( True ), nbinsY = cms.int32 ( 400 ), xminY = cms.double( 0.), xmaxY = cms.double( 400000.), ), me1 = cms.PSet( folder = cms.string("HLT/LumiMonitoring"), name = cms.string("lumiVsLS"), profileX = cms.bool(True) ), me2 = cms.PSet( folder = cms.string("HLT/Pixel"), name = cms.string("num_clusters_per_Lumisection_PXBarrel"), profileX = cms.bool(True) ), ) pixelClusterVsLumiPXBarrel = pixelClusterVsLumi.clone() pixelClusterVsLumiPXBarrel.me.name = "num_clusters_per_instLumi_PXBarrel" pixelClusterVsLumiPXBarrel.me2.name = "num_clusters_per_Lumisection_PXBarrel" pixelClusterVsLumiPXForward = pixelClusterVsLumi.clone() pixelClusterVsLumiPXForward.me.name = "num_clusters_per_instLumi_PXForward" pixelClusterVsLumiPXForward.me2.name = "num_clusters_per_Lumisection_PXForward" pixelTrackClusterVsLumiPXBarrel = pixelClusterVsLumi.clone() pixelTrackClusterVsLumiPXBarrel.me.folder = "HLT/Pixel/TrackClusters/" pixelTrackClusterVsLumiPXBarrel.me.name = "num_clusters_ontrack_per_instLumi_PXBarrel" pixelTrackClusterVsLumiPXBarrel.me2.folder = "HLT/Pixel/TrackClusters" pixelTrackClusterVsLumiPXBarrel.me2.name = "num_clusters_ontrack_per_Lumisection_PXBarrel" pixelTrackClusterVsLumiPXForward = pixelClusterVsLumi.clone() pixelTrackClusterVsLumiPXForward.me.folder = "HLT/Pixel/TrackClusters/" pixelTrackClusterVsLumiPXForward.me.name = "num_clusters_ontrack_per_instLumi_PXForward" pixelTrackClusterVsLumiPXForward.me2.folder = "HLT/Pixel/TrackClusters" pixelTrackClusterVsLumiPXForward.me2.name = "num_clusters_ontrack_per_Lumisection_PXForward" sipixelHarvesterHLTsequence = cms.Sequence( # hltSiPixelPhase1ClustersHarvester # + hltSiPixelPhase1TrackClustersHarvester pixelClusterVsLumiPXBarrel + pixelClusterVsLumiPXForward # + pixelTrackClusterVsLumiPXBarrel # + pixelTrackClusterVsLumiPXForward )
from django.apps import AppConfig class ChainsConfig(AppConfig): name = 'cajas.chains' verbose_name = 'Cadenas' def ready(self): try: import chains.signals # noqa F401 except ImportError: pass
from random import randint from data_structures.LinkedList import LinkedList from data_structures.Queue import Queue from data_structures.Stack import Stack def run_linked_list_demo(): print("\nRandomly generated linked list:") l_list = LinkedList() for i in range(10): num = randint(1, 100) print(f"Add {num}") l_list.add(num) def run_stack_demo(): print("\nRandomly generated stack") stack = Stack() for i in range(10): stack.push_random_number() popped = 1 while popped: popped = stack.pop() print(f"Popped {popped}") def run_queue_demo(): print("\nRandomly generated queue") queue = Queue() for i in range(10): num = randint(1, 100) print(f"Enqueue {num}") queue.Enqueue(num) deq = 1 while deq: deq = queue.Dequeue() print(f"Dequeued {deq}") def run(): run_linked_list_demo() run_stack_demo() run_queue_demo()
import pandas as pd from app.app.routing.graph import Graph def get_test_graph(): node_dict = { 'id': ['N1', 'N2', 'N3', 'N4'], 'lat': [52.3, 52.4, 52.4, 52.3], 'lon': [13.4, 13.4, 13.3, 13.3] } edge_dict = { 'node1': ['N1', 'N2', 'N3', 'N4'], 'node2': ['N2', 'N3', 'N4', 'N1'], 'distance': [30, 20, 20, 25] } nodes = pd.DataFrame.from_dict(node_dict) nodes.set_index('id', inplace=True) edges = pd.DataFrame(edge_dict) return Graph(nodes, edges)
from shared_utils import * from BaseModel import BaseModel from config import * import pymc3 as pm import pickle as pkl import pandas as pd import os import sys from config_window import start as startixs start = int(os.environ["SGE_DATE_ID"]) number_of_weeks = 3# int(sys.argv[4]) model_i = 35 start_date = pd.Timestamp("2020-01-28") + pd.Timedelta(start) #NOTE: for jureca, extend to the number of available cores (chains and cores!) num_samples = 250 num_chains = 4 num_cores = num_chains # whether to sample the parameters or load them SAMPLE_PARAMS = True # whether to sample predictions on training, test or both # SAMPLE_PREDS = "both" # can be "train", "test" or "both" disease = "covid19" prediction_region = "germany" # model 15 selected by WAICS # model 35 ohne report delay und mit trend order 1 # model 47 mit trend 4 use_ia, use_report_delay, use_demographics, trend_order, periodic_order = combinations[model_i] # Print Model Eigenschaften print("Model {} - IA: {} - RD: {} - DEMO: {} - Trend: {} - Per: {}".format( model_i, use_ia, use_report_delay, use_demographics, trend_order, periodic_order )) # use_interactions, use_report_delay = combinations_ia_report[model_complexity] filename_params = "../data/mcmc_samples_backup/parameters_{}_{}".format(disease,start) filename_pred = "../data/mcmc_samples_backup/predictions_{}_{}.pkl".format(disease, start) #filename_pred_nowcast = "../data/mcmc_samples_backup/predictions_nowcast_{}_model_{}_window_{}_{}.pkl".format(disease, model_i, start, number_of_weeks) filename_pred_trend = "../data/mcmc_samples_backup/predictions_trend_{}_{}.pkl".format(disease, start ) filename_model = "../data/mcmc_samples_backup/model_{}_{}.pkl".format(disease, start) import os print(os.getcwd()) print('../data/counties/counties.pkl') # Load data with open('../data/counties/counties.pkl', "rb") as f: county_info = pkl.load(f) # pad = days to look into the future #days_into_future = 5 #data = load_daily_data(disease, prediction_region, county_info, pad=days_into_future) days_into_future = 5 data = load_daily_data_n_weeks(start, number_of_weeks, disease, prediction_region, county_info, pad=days_into_future) first_day = data.index.min() last_day = data.index.max() data_train, target_train, data_test, target_test = split_data( data, train_start=first_day, test_start=last_day - pd.Timedelta(days=days_into_future+4), post_test=last_day + pd.Timedelta(days=1) ) tspan = (target_train.index[0], target_train.index[-1]) print("training for {} in {} with final model from {} to {}\nWill create files {}, {} and {}".format( disease, prediction_region, *tspan, filename_params, filename_pred, filename_model)) print(os.getcwd()) print('../data/iaeffect') year = str(start_date)[:4] month = str(start_date)[5:7] day = str(start_date)[8:10] model = BaseModel(tspan, county_info, ["../data/ia_effect_samples/{}_{}.pkl".format(disease, i) for i in range(100)], include_ia=use_ia, include_report_delay=use_report_delay, include_demographics=use_demographics, trend_poly_order=trend_order, periodic_poly_order=periodic_order) if SAMPLE_PARAMS: print("Sampling parameters on the training set.") trace = model.sample_parameters( target_train, samples=num_samples, tune=100, target_accept=0.95, max_treedepth=15, chains=num_chains, cores=num_cores, window=True) with open(filename_model, "wb") as f: pkl.dump(model.model, f) with model.model: pm.save_trace(trace, filename_params, overwrite=True) else: print("Load parameters.") trace = load_trace_window(disease,model_i, start, number_of_weeks ) print("Sampling predictions on the training and test set.") pred = model.sample_predictions(target_train.index, target_train.columns, trace, target_test.index, average_periodic_feature=False, average_all=False, window=True) pred_trend = model.sample_predictions(target_train.index, target_train.columns, trace, target_test.index, average_periodic_feature=False, average_all=True, window=True) with open(filename_pred, 'wb') as f: pkl.dump(pred, f) with open(filename_pred_trend, "wb") as f: pkl.dump(pred_trend, f)
class Solution: def singleNumber(self, A): extraNumber = reduce(lambda x, y: x ^ y, A) return extraNumber
import os ''' Class : sourceControl Description : A class processing file IO on the source received. ''' class sourceControl: preCode = None body = None postCode = None ''' Function : __init__(...) Description : A function that initializes the class Parameters : preCode : A source executed prior to the body source body : A source executed in the middle. User input from the dashboard is required. postCode : A source that wraps up the whole process. BE ADVISED : Unless there is a reason to modify both the preCode and postCode, do not put anything on both the preCode and postCode parameter. ''' def __init__(self, preCode = None, body = None, postCode = None): self.preCode = preCode self.body = body self.postCode = postCode self.storeSources() ''' Function : storeSources() Descriptions : A function that stores the sources received. ''' def storeSources(self): ''' if not self.preCode or not self.body or self.postCode: print("At least one of the source is empty\n") ''' fileDir = os.path.dirname(os.path.realpath('__file__')) pathPreCode = os.path.join(fileDir, 'enow/jython/pythonSrc/preCode.py') pathbodyCode = os.path.join(fileDir, 'enow/jython/pythonSrc/body.py') pathPostCode = os.path.join(fileDir, 'enow/jython/pythonSrc/preCode.py') # fPreCode = open(pathPreCode, "wb") fBodyCode = open(pathbodyCode, "wb") # fPostCode = open(pathPostCode, "wb") # fPreCode.seek(0) fBodyCode.seek(0) # fPostCode.seek(0) fBodyCode.truncate() fBodyCode.seek(0) # if self.preCode: # fPreCode.writelines(self.preCode) fBodyCode.write(self.body) # if self.postCode: # fPostCode.writelines(self.postCode) # fPreCode.close() fBodyCode.close() # fPostCode.close()
import json from hypernets.experiment import CompeteExperiment from hypernets.experiment import Experiment from hypernets.tabular import dask_ex as dex from hypernets.tests.model.plain_model_test import create_plain_model from hypernets.tests.tabular.dask_transofromer_test import setup_dask from hypernets.tabular.datasets import dsutils import numpy as np import pandas as pd from dask import dataframe as dd from dask.distributed import LocalCluster, Client from sklearn.preprocessing import LabelEncoder class Test_Get_character: @classmethod def setup_class(cls): setup_dask(cls) cls.boston = dd.from_pandas(dsutils.load_boston(), npartitions=1) cls.blood = dd.from_pandas(dsutils.load_blood(), npartitions=1) cls.bike_sharing = dd.from_pandas(dsutils.load_Bike_Sharing(), npartitions=1) # A test for multiclass task def experiment_with_bike_sharing(self, init_kwargs, run_kwargs, row_count=3000, with_dask=False): if with_dask: X = self.bike_sharing.copy() y = X.pop('count') y = y.astype('str') else: X = dsutils.load_Bike_Sharing() if row_count is not None: X = X.head(row_count) X['count'] = LabelEncoder().fit_transform(X['count']) y = X.pop('count') hyper_model = create_plain_model(with_encoder=True) X_train, X_test, y_train, y_test = \ dex.train_test_split(X, y, test_size=0.3, random_state=9527) X_train, X_eval, y_train, y_eval = \ dex.train_test_split(X_train, y_train, test_size=0.3, random_state=9527) init_kwargs = { 'X_eval': X_eval, 'y_eval': y_eval, 'X_test': X_test, init_kwargs } compete_experiment = CompeteExperiment(hyper_model, X_train, y_train, init_kwargs) base_experiment = Experiment(hyper_model, X_train, y_train, init_kwargs) mydict_compete = compete_experiment.get_data_character() mydict_base = base_experiment.get_data_character() assert mydict_base assert mydict_compete assert mydict_base['experimentType'] is 'base' assert mydict_compete['experimentType'] is 'compete' assert mydict_base['target']['taskType'] is 'multiclass' assert mydict_base['target']['freq'] is None assert mydict_base['target']['unique'] assert mydict_base['target']['mean'] is None assert mydict_base['target']['max'] is None assert mydict_base['target']['min'] is None assert mydict_base['target']['stdev'] is None assert mydict_base['target']['dataType'] assert len(mydict_base['targetDistribution']) <= 10 assert mydict_base['datasetShape']['X_train'] assert mydict_base['datasetShape']['y_train'] assert mydict_base['datasetShape']['X_eval'] assert mydict_base['datasetShape']['y_eval'] assert mydict_base['datasetShape']['X_test'] assert mydict_compete['featureDistribution'] # A test for binary task def experiment_with_blood(self, init_kwargs, run_kwargs, row_count=3000, with_dask=False): if with_dask: X = self.blood.copy() y = X.pop('Class') else: X = dsutils.load_blood() if row_count is not None: X = X.head(row_count) X['Class'] = LabelEncoder().fit_transform(X['Class']) y = X.pop('Class') hyper_model = create_plain_model(with_encoder=True) X_train, X_test, y_train, y_test = \ dex.train_test_split(X, y, test_size=0.3, random_state=9527) X_train, X_eval, y_train, y_eval = \ dex.train_test_split(X_train, y_train, test_size=0.3, random_state=9527) init_kwargs = { 'X_eval': X_eval, 'y_eval': y_eval, 'X_test': X_test, init_kwargs } compete_experiment = CompeteExperiment(hyper_model, X_train, y_train, init_kwargs) base_experiment = Experiment(hyper_model, X_train, y_train, init_kwargs) mydict_compete = compete_experiment.get_data_character() mydict_base = base_experiment.get_data_character() assert mydict_base assert mydict_compete assert mydict_base['experimentType'] is 'base' assert mydict_compete['experimentType'] is 'compete' assert mydict_base['target']['taskType'] is 'binary' assert mydict_base['target']['freq'] is not None assert mydict_base['target']['unique'] is 2 assert mydict_base['target']['mean'] is None assert mydict_base['target']['max'] is None assert mydict_base['target']['min'] is None assert mydict_base['target']['stdev'] is None assert mydict_base['target']['dataType'] assert len(mydict_base['targetDistribution']) <= 10 assert mydict_base['datasetShape']['X_train'] assert mydict_base['datasetShape']['y_train'] assert mydict_base['datasetShape']['X_eval'] assert mydict_base['datasetShape']['y_eval'] assert mydict_base['datasetShape']['X_test'] assert mydict_compete['featureDistribution'] # A test for regression task def experiment_with_boston(self, init_kwargs, run_kwargs, row_count=3000, with_dask=False): if with_dask: X = self.boston y = X.pop('target') else: X = dsutils.load_boston() if row_count is not None: X = X.head(row_count) X['target'] = LabelEncoder().fit_transform(X['target']) y = X.pop('target') y = y.astype('float64') hyper_model = create_plain_model(with_encoder=True) X_train, X_test, y_train, y_test = \ dex.train_test_split(X, y, test_size=0.3, random_state=9527) X_train, X_eval, y_train, y_eval = \ dex.train_test_split(X_train, y_train, test_size=0.3, random_state=9527) init_kwargs = { 'X_eval': X_eval, 'y_eval': y_eval, 'X_test': X_test, init_kwargs } compete_experiment = CompeteExperiment(hyper_model, X_train, y_train, init_kwargs) base_experiment = Experiment(hyper_model, X_train, y_train, **init_kwargs) mydict_compete = compete_experiment.get_data_character() mydict_base = base_experiment.get_data_character() assert mydict_base assert mydict_compete assert mydict_base['experimentType'] is 'base' assert mydict_compete['experimentType'] is 'compete' assert mydict_base['target']['taskType'] is 'regression' assert mydict_base['target']['freq'] is None assert mydict_base['target']['unique'] assert mydict_base['target']['mean'] is not None assert mydict_base['target']['max'] is not None assert mydict_base['target']['min'] is not None assert mydict_base['target']['stdev'] is not None assert mydict_base['target']['dataType'] is 'float' assert len(mydict_base['targetDistribution']) <= 10 assert mydict_base['datasetShape']['X_train'] assert mydict_base['datasetShape']['y_train'] assert mydict_base['datasetShape']['X_eval'] assert mydict_base['datasetShape']['y_eval'] assert mydict_base['datasetShape']['X_test'] assert mydict_compete['featureDistribution'] def test_multiclass_with_bike_sharing(self): self.experiment_with_bike_sharing({}, {}) self.experiment_with_bike_sharing({}, {}, with_dask = True) def test_binary_with_blood(self): self.experiment_with_blood({}, {}) self.experiment_with_blood({}, {}, with_dask = True) def test_regression_with_boston(self): self.experiment_with_boston({}, {}) self.experiment_with_boston({}, {}, with_dask = True)
import sst from sst.merlin.base import * from sst.merlin.endpoint import * from sst.merlin.topology import * from sst.merlin.interface import * from sst.merlin.router import * platdef = PlatformDefinition("platform_dragon") PlatformDefinition.registerPlatformDefinition(platdef) ##------------------------------------------------ routing_alogrithm = 'q-adaptive' # VALn ugal-g ugal-n par minimal q-adaptive num_msgs = 5000 msg_size = '128B' msg_interval = '64ns' pattern = 'Uniform' # Uniform, Tornado, Stencil_3D, FFT3D_all2all, RandomNeighbors dynamicload = False ##------------------------------------------------ #1056-node system hpr = 4 rpg = 8 inter_link = 1 num_group = 33 size3dx = 4 size3dy = 8 size3dz = 33 #2550-node system: # hpr = 5 # rpg = 10 # inter_link = 1 # num_group = 51 # size3dx = 5 # size3dy = 10 # size3dz = 51 platdef.addParamSet("topology",{ "hosts_per_router" : hpr, "routers_per_group" : rpg, "intergroup_links" : inter_link, "num_groups" : num_group, }) platdef.addParamSet("topology",{ "algorithm" : routing_alogrithm, 'link_lat_host' : '10ns', 'link_lat_local' : '30ns', 'link_lat_global' : '300ns', }) platdef.addParamSet("topology",{ "adaptive_threshold": 2, }) platdef.addParamSet("topology",{ "learning_rate": 0.2, "learning_rate2": 0.04, "epsilon": 0.001, "q_threshold1": 0.2, "q_threshold2": 0.35, "save_qtable": 'yes', "save_qtable_time": 1000, ##us }) platdef.addClassType("topology","sst.merlin.topology.topoDragonFly") platdef.addParamSet("router",{ "link_bw" : '4GB/s', "link_bw:host" : '4GB/s', "xbar_bw" : '40GB/s', "flit_size" : '128B', "input_buf_size" : '2560B', "output_buf_size" : '2560B', "input_latency" : "10ns", "output_latency" : "10ns", "input_buf_size:host" : '2560B', "output_buf_size:host" : '2560B', "num_vns" : 1, "xbar_arb" : "merlin.xbar_arb_lru", }) platdef.addClassType("router","sst.merlin.base.hr_router") platdef.addParamSet("network_interface",{ "link_bw" : '4GB/s', "input_buf_size" : '2560B', "output_buf_size" : '2560B', }) #platdef.addClassType("network_interface","sst.merlin.base.ReorderLinkControl") platdef.addClassType("network_interface","sst.merlin.interface.LinkControl") PlatformDefinition.setCurrentPlatform("platform_dragon") # Allocate the system. This will create the topology since it's # set up in the platform file system = System() ### set up the endpoint #---------------------------------------- syssize = system.topology.getNumNodes() ep = TrafficGenJob(0, syssize) ep.packets_to_send = num_msgs ep.packet_size = msg_size ep.delay_between_packets = msg_interval ep.message_rate = '1GHz' ep.extargs["PacketDest:pattern"] = pattern if dynamicload: ep.extargs["PacketDelay:pattern"] = "Step" ep.extargs["PacketDelay:packet_delay_list"] = ['160ns', '80ns'] ep.extargs["PacketDelay:packet_num_list"] = [1000,1000] if pattern == 'Tornado': ep.topology = 'dragonfly' ep.extargs["dragonfly:hosts_per_router"] = hpr ep.extargs["dragonfly:routers_per_group"] = rpg ep.extargs["dragonfly:num_groups"] = num_group ep.extargs["Tornado:shift"] = 1 if pattern == 'Stencil_3D': ep.extargs["PacketDest:Stencil_3D:3DSize"] = "{} {} {}".format(size3dx, size3dy, size3dz) if pattern == 'FFT3D_all2all': ep.extargs["PacketDest:FFT3D_all2all:3DSize"] = "{} {} {}".format(size3dx, size3dy, size3dz) if pattern == 'RandomNeighbors': ep.extargs["PacketDest:RandomNeighbors:range_min"] = 6 ep.extargs["PacketDest:RandomNeighbors:range_max"] = 21 system.allocateNodes(ep,"linear") system.build() sst.setStatisticLoadLevel(9) sst.setStatisticOutput("sst.statOutputCSV") sst.setStatisticOutputOptions({ "filepath" : 'stats.csv', "separator" : ", " }) sst.enableAllStatisticsForAllComponents()
import sqlite3 from tqdm import tqdm def is_number(val): try: float(val) return True except Exception as e: return False def init_autocomplete(schema, db_path, redis, debug=False): if debug: print('Flushing autocomplete...', end='') redis.delete(schema.db_id) if debug: print('Done') conn = sqlite3.connect(db_path) conn.text_factory = bytes phrases = {} if debug: print('Retrieving phrases from columns...') iterator = schema.columns if debug: iterator = tqdm(iterator) for col in iterator: if col.type != 'text' or col.syn_name == '*': continue cur = conn.cursor() cur.execute(f'SELECT DISTINCT "{col.syn_name}" FROM "{col.table.syn_name}"') for phrase in cur.fetchall(): if phrase[0] and not is_number(phrase[0]): try: val = phrase[0].decode() cleaned = val.strip().lower() phrase_key = f'{cleaned}\t{val}' if phrase_key not in phrases: phrases[phrase_key] = [] phrases[phrase_key].append(str(col.id)) except Exception as e: continue if debug: print('Storing phrases in autocomplete...') phrases = [f'{k}\t{",".join(v)}' for k, v in phrases.items()] batch_size = 20000 iterator = range(0, len(phrases), batch_size) if debug: iterator = tqdm(iterator) for start in iterator: end = start + batch_size redis.zadd(schema.db_id, dict.fromkeys(phrases[start:end], 0), nx=True)
from django.urls import path,include from .views import CustomUserCreate from rest_framework.authtoken.views import obtain_auth_token urlpatterns = [ path('create-user/', CustomUserCreate.as_view(), name="create_user"), path('auth/', include('dj_rest_auth.urls')), path('teacher/', include('api.teacher.urls')), path('class/', include('api.class.urls')), ]
#!/usr/bin/python # # Copyright 2016 British Broadcasting Corporation and Contributors(1) # # (1) Contributors are listed in the AUTHORS file (please extend AUTHORS, # not this header) # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import json import sys print "Content-type: application/json" print raw_stdin = sys.stdin.read() myjson = json.loads(raw_stdin) file_tag = str(myjson["repr"]["id"]) z = open("../upload/%s.json" % file_tag) rj = z.read() j = json.loads(rj) z.close() record = j["myjson"] record = json.loads(record) program_xml= record["repr"] print json.dumps(program_xml)
#!/usr/bin/env python # -- coding: utf-8 -- # # date: 2018/4/15 # author: he.zhiming # from __future__ import unicode_literals, absolute_import import logging import logging.config class LogFactory: _LOG_CONFIG_DICT = { } logging.config.dictConfig(_LOG_CONFIG_DICT) @classmethod def get_logger(cls, logger_name) -> logging.Logger: return logging.getLogger(logger_name) DEBUGGER = LogFactory.get_logger('debugger') CONSOLE_LOGGER = LogFactory.get_logger('console_logger')
"""Test ISY994 system health.""" import asyncio from unittest.mock import Mock from aiohttp import ClientError from openpeerpower.components.isy994.const import DOMAIN, ISY994_ISY, ISY_URL_POSTFIX from openpeerpower.const import CONF_HOST from openpeerpower.setup import async_setup_component from .test_config_flow import MOCK_HOSTNAME, MOCK_UUID from tests.common import MockConfigEntry, get_system_health_info MOCK_ENTRY_ID = "cad4af20b811990e757588519917d6af" MOCK_CONNECTED = "connected" MOCK_HEARTBEAT = "2021-05-01T00:00:00.000000" async def test_system_health(opp, aioclient_mock): """Test system health.""" aioclient_mock.get(f"http://{MOCK_HOSTNAME}{ISY_URL_POSTFIX}", text="") opp.config.components.add(DOMAIN) assert await async_setup_component(opp, "system_health", {}) MockConfigEntry( domain=DOMAIN, entry_id=MOCK_ENTRY_ID, data={CONF_HOST: f"http://{MOCK_HOSTNAME}"}, unique_id=MOCK_UUID, ).add_to_opp(opp) opp.data[DOMAIN] = {} opp.data[DOMAIN][MOCK_ENTRY_ID] = {} opp.data[DOMAIN][MOCK_ENTRY_ID][ISY994_ISY] = Mock( connected=True, websocket=Mock( last_heartbeat=MOCK_HEARTBEAT, status=MOCK_CONNECTED, ), ) info = await get_system_health_info(opp, DOMAIN) for key, val in info.items(): if asyncio.iscoroutine(val): info[key] = await val assert info["host_reachable"] == "ok" assert info["device_connected"] assert info["last_heartbeat"] == MOCK_HEARTBEAT assert info["websocket_status"] == MOCK_CONNECTED async def test_system_health_failed_connect(opp, aioclient_mock): """Test system health.""" aioclient_mock.get(f"http://{MOCK_HOSTNAME}{ISY_URL_POSTFIX}", exc=ClientError) opp.config.components.add(DOMAIN) assert await async_setup_component(opp, "system_health", {}) MockConfigEntry( domain=DOMAIN, entry_id=MOCK_ENTRY_ID, data={CONF_HOST: f"http://{MOCK_HOSTNAME}"}, unique_id=MOCK_UUID, ).add_to_opp(opp) opp.data[DOMAIN] = {} opp.data[DOMAIN][MOCK_ENTRY_ID] = {} opp.data[DOMAIN][MOCK_ENTRY_ID][ISY994_ISY] = Mock( connected=True, websocket=Mock( last_heartbeat=MOCK_HEARTBEAT, status=MOCK_CONNECTED, ), ) info = await get_system_health_info(opp, DOMAIN) for key, val in info.items(): if asyncio.iscoroutine(val): info[key] = await val assert info["host_reachable"] == {"error": "unreachable", "type": "failed"}
import struct # particles format version 0 PARS_FMT_VER_0 = 0 # particles format support versions PARS_FMT_SUPP = (PARS_FMT_VER_0, ) # particle attributes # position POS = 0 # velocity VEL = 1 # color COL = 2 # material id MAT = 3 def write_pars_v0(par_data): data = bytearray() # particles format version data.extend(struct.pack('I', 0)) # particles count pars_cnt = len(par_data[POS]) data.extend(struct.pack('I', pars_cnt)) print('Particles count:', pars_cnt) # par_i - particles index for par_i in range(pars_cnt): data.extend(struct.pack('3f', par_data[POS][par_i])) data.extend(struct.pack('3f', par_data[VEL][par_i])) data.extend(struct.pack('I', par_data[COL][par_i])) data.extend(struct.pack('I', par_data[MAT][par_i])) return data def read_pars_v0(data, caches, offs, folder): # particles positions pos = [] # particles velocities vel = [] # particles colors col = [] # particles materials mat = [] # particles count count = struct.unpack('I', data[offs : offs + 4])[0] offs += 4 for index in range(count): # particle position p_pos = struct.unpack('3f', data[offs : offs + 12]) offs += 12 pos.append(p_pos) # particle velocity p_vel = struct.unpack('3f', data[offs : offs + 12]) offs += 12 vel.append(p_vel) # particle color p_col = struct.unpack('I', data[offs : offs + 4])[0] offs += 4 col.append(p_col) # particle material p_mat = struct.unpack('I', data[offs : offs + 4])[0] offs += 4 mat.append(p_mat) caches[folder] = {POS: pos, VEL: vel, COL: col, MAT: mat} # read particles def read_pars(data, caches, folder): # read offset in file offs = 0 # particles format version ver = struct.unpack('I', data[offs : offs + 4])[0] offs += 4 if not ver in PARS_FMT_SUPP: msg = 'Unsupported particles format version: {0}'.format(ver) raise BaseException(msg) if ver == PARS_FMT_VER_0: read_pars_v0(data, caches, offs, folder)
class Solution: def XXX(self, root: TreeNode) -> bool: def depth(root): if(not root):return 0 left=depth(root.left) if(left==-1):return -1 right=depth(root.right) if(right==-1):return -1 return max(left,right)+1 if abs(left-right)<2 else -1 return depth(root)!=-1
# coding=utf-8 # Runner for daemon import os from pyramid.paster import get_appsettings from pyramid.paster import setup_logging from tracim_backend.config import CFG from tracim_backend.lib.mail_notifier.daemon import MailSenderDaemon config_uri = os.environ["TRACIM_CONF_PATH"] setup_logging(config_uri) settings = get_appsettings(config_uri) settings.update(settings.global_conf) app_config = CFG(settings) app_config.configure_filedepot() daemon = MailSenderDaemon(app_config, burst=False) daemon.run()
#!/usr/bin/python3 """ Calculates the size of the hypotenuse of a right triangle, using the Pythagorean Theorem. a2 + b2 = c2 Basically, the theorem says: - the sum of the squares of the legs, is equal to the square of the hypotenuse """ from math import sqrt __author__ = "@ivanleoncz" def hypotenuse_calc(): """ Calculates the hypotenuse. """ leg_a = int(input("\nSize of leg A: ")) leg_b = int(input("Size of leg B: ")) squared_a = leg_a 2 squared_b = leg_b ** 2 hypotenuse_c = squared_a + squared_b return "Hypotenuse: %s " % int(sqrt(hypotenuse_c)) print(hypotenuse_calc(),"\n")
from torch.utils import data import torch import numpy as np from model_training.utils import loadmat, CustomTensorDataset, load_weights, load_labels, resample, slide_and_cut, load_challenge_data from utils.denoising import filter_and_detrend import neurokit2 as nk import os # from process.extract_peak_targets import get_target_peaks as get_target_peak_bak class CustomDataset(data.Dataset): """ PyTorch Dataset generator class Ref: https://stanford.edu/~shervine/blog/pytorch-how-to-generate-data-parallel """ def __init__(self, label_files, labels_onehot, label_dir, leads_index, name_list_full=[], transform=None, sample_rate=500, to_get_feature=False): """Initialization""" self.file_names_list = label_files self.label_dir = label_dir self.labels_onehot = labels_onehot self.class_weights = self.get_class_weights() self.leads_index = leads_index self.transform = transform self.to_get_feature = to_get_feature self.sample_rate = sample_rate # self.normalization = TNormalize() def __len__(self): """Return total number of data samples""" return len(self.file_names_list) def __getitem__(self, idx): """Generate data sample""" sample_file_name = self.file_names_list[idx] # header_file_name = self.file_names_list[idx][:-3] + "hea" label = self.labels_onehot[idx] recording, header, name = load_challenge_data(sample_file_name, self.label_dir) # get class_weight by name class_weight, data_source = self.get_class_weight_and_source_by_name(name) # divide ADC_gain and resample recording = resample(recording, header, resample_Fs=self.sample_rate) for lead in recording: assert np.isnan(lead).any() == False # if lead.sum() == 0: # print(idx) # to extract features # recording = self.normalization(recording) feature = np.zeros((50,)) if self.to_get_feature: feature = self.get_features(recording) feature = torch.tensor(feature) if self.transform is not None: recording = self.transform(recording) recording = filter_and_detrend(recording) # recording = nk.ecg_clean(recording, method='biosppy') # # slide and cut # recording = slide_and_cut(recording, n_segment=1, window_size=4992, sampling_rate=500) # recording = recording[0] # to filter and detrend samples recording = recording[self.leads_index, :] recording = torch.tensor(recording) label = torch.tensor(label) class_weight = torch.tensor(class_weight) data_source = torch.tensor(data_source) if self.to_get_feature: return recording, label, class_weight, data_source, feature return recording, label, class_weight def get_class_weights(self): classes = "164889003,164890007,6374002,426627000,733534002,713427006,270492004,713426002,39732003,445118002,164947007,251146004,111975006,698252002,426783006,63593006,10370003,365413008,427172004,164917005,47665007,427393009,426177001,427084000,164934002,59931005" ### equivalent SNOMED CT codes merged, noted as the larger one classes = classes.split(',') CPSC_classes = ['270492004', '164889003', '733534002', '63593006', '426783006', '713427006'] # "59118001" = "713427006" CPSC_class_weight = np.zeros((26,)) for cla in CPSC_classes: CPSC_class_weight[classes.index(cla)] = 1 # CPSC_extra CPSC_extra_excluded_classes = ['6374002', '39732003', '445118002', '251146004', '365413008', '164947007', '365413008', '164947007', '698252002', '426783006', '10370003', '111975006', '164917005', '47665007', '427393009', '426177001', '164934002', '59931005'] CPSC_extra_class_weight = np.ones((26,)) for cla in CPSC_extra_excluded_classes: CPSC_extra_class_weight[classes.index(cla)] = 0 # PTB-XL PTB_XL_excluded_classes = ['6374002', '426627000', '365413008', '427172004'] # , '17338001' PTB_XL_class_weight = np.ones((26,)) for cla in PTB_XL_excluded_classes: PTB_XL_class_weight[classes.index(cla)] = 0 # PTB_XL_class_weight[classes.index('426783006')] = 0.1 # G12ECG G12ECG_excluded_classes = ['10370003', '365413008', '164947007'] G12ECG_class_weight = np.ones((26,)) for cla in G12ECG_excluded_classes: G12ECG_class_weight[classes.index(cla)] = 0 # Chapman Shaoxing Chapman_excluded_classes = ['6374002', '426627000', '713426002', '445118002', '10370003', '365413008', '427172004', '427393009', '63593006'] Chapman_class_weight = np.ones((26,)) for cla in Chapman_excluded_classes: Chapman_class_weight[classes.index(cla)] = 0 # Ningbo Ningbo_excluded_classes = ['164889003', '164890007', '426627000'] Ningbo_class_weight = np.ones((26,)) for cla in Ningbo_excluded_classes: Ningbo_class_weight[classes.index(cla)] = 0 return [CPSC_extra_class_weight, CPSC_extra_class_weight, PTB_XL_class_weight, G12ECG_class_weight, Chapman_class_weight, Ningbo_class_weight] def get_class_weight_and_source_by_name(self, name): if name[0] == 'A': # CPSC class_weight = self.class_weights[0] data_source_class = 0 elif name[0] == 'Q': # CPSC-extra class_weight = self.class_weights[1] data_source_class = 2 elif name[0] == 'H': # PTB-XL class_weight = self.class_weights[2] data_source_class = 0 elif name[0] == 'E': # G12ECG class_weight = self.class_weights[3] data_source_class = 1 elif name[0] == 'J' and int(name[2:]) <= 10646: # Chapman class_weight = self.class_weights[4] data_source_class = 2 elif name[0] == 'J' and int(name[2:]) > 10646: # Ningbo class_weight = self.class_weights[5] data_source_class = 2 elif name[0] == 'S' or name[0] == 'I': # Ningbo class_weight = np.zeros((26,)) data_source_class = 2 return class_weight, data_source_class class CustomDataset4PeakDetection(CustomDataset): """ PyTorch Dataset generator class Ref: https://stanford.edu/~shervine/blog/pytorch-how-to-generate-data-parallel """ def __init__(self, label_files, labels_onehot, label_dir, leads_index, name_list_full=[], sample_rate=500, transform=None, to_get_feature=False): super().__init__(label_files, labels_onehot, label_dir, leads_index, name_list_full=name_list_full, sample_rate=sample_rate, transform=transform, to_get_feature=to_get_feature) name_list_full_path = './name_list_all.npy' self.name_list_full = np.load(name_list_full_path) # load peak targets if os.path.exists('./peak_targets_full_v2.npy') == False: os.system('gunzip ./peak_targets_full_v2.npy.gz') self.peak_targets_full = np.load('./peak_targets_full_v2.npy') print("get peak target") def __getitem__(self, idx): """Generate data sample""" sample_file_name = self.file_names_list[idx] # header_file_name = self.file_names_list[idx][:-3] + "hea" label = self.labels_onehot[idx] recording, header, name = load_challenge_data(sample_file_name, self.label_dir) # get class_weight by name class_weight, data_source = self.get_class_weight_and_source_by_name(name) # divide ADC_gain and resample recording = resample(recording, header, resample_Fs=self.sample_rate) for lead in recording: assert np.isnan(lead).any() == False # if lead.sum() == 0: # print(idx) # to extract features # recording = self.normalization(recording) if self.transform is not None: recording = self.transform(recording) assert len(recording) <= 4992 recording = filter_and_detrend(recording) # recording = nk.ecg_clean(recording, method='biosppy') # target_peaks, _ = get_target_peak_bak(recording, type_num=5) # target_peaks = self.get_target_peaks(recording) target_peaks = self.peak_targets_full[np.where(self.name_list_full==name)] recording = recording[self.leads_index, :] recording = torch.tensor(recording) label = torch.tensor(label) # class_weight = torch.tensor([0]) # data_source = torch.tensor([0]) target_peaks = torch.tensor(target_peaks[0]) # print(recording.size(), label.size(), class_weight.size(), target_peaks.size()) return recording, label, class_weight, target_peaks
import string import emoji main_special_characters = string.punctuation + string.digits + string.whitespace other_special_characters = ( "   　 ’“”–ー一▬…✦�£•€«»°·═" "×士＾˘⇓↓↑←→（）§″′´¿−±∈¢ø‚„½¼¾¹²³―⁃，ˌ¸‹›ʺˈʻ¦‐⠀‰‑≤≥‖" "◆●■►▼▲▴∆▻¡★☆✱ːº。¯˜¥ɪ≈†上ン：∼⁄・♡✓⊕․．⋅÷１‟；،、¨ाাी्े◦˚" "゜ʼ≖ʼ¤ッツシ℃√！【】‿∞➤～πه۩☛₨➩☻๑٪♥ıॽ《‘©﴿٬？▷Г♫∟™ª₪®「—❖" "」﴾》" ) emoji = list(emoji.UNICODE_EMOJI["en"].keys()) special_characters_default = set(main_special_characters + other_special_characters) special_characters_default.update(emoji) parameters_filtering_default = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": False, "length_word_max_cutoff": 50, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.4, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": False, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.70, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_af = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.6, "cond_check_perplexity": True, "perplexity_max_cutoff": 3000000, } parameters_filtering_ar = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.45, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 1000000, } parameters_filtering_arz = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.5, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_as = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_bn = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.275, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.05, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 575000, } parameters_filtering_ca = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.35, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 1750000, } parameters_filtering_en = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": True, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 20, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.4, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.3, "cond_check_flagged_words": True, "flagged_words_max_cutoff": 0.045, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.80, "cond_check_perplexity": True, "perplexity_max_cutoff": 2500, } parameters_filtering_es = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.2, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 2500000, } parameters_filtering_eu = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 35, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_fr = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.35, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.15, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 3000000, } parameters_filtering_gu = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 250000, } parameters_filtering_hi = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.35, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 600000, } parameters_filtering_id = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.25, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 2500000, } parameters_filtering_kn = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 50, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 400000, } parameters_filtering_ml = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 50, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.2, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 1600000, } parameters_filtering_mr = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 425000, } parameters_filtering_pt = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.15, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 3000000, } parameters_filtering_so = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": False, "length_word_max_cutoff": 1000, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": False, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_sw = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.275, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_ta = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 50, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_te = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 35, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_ur = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.4, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_vi = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.35, "cond_words_augmentation": True, "words_augmentation_group_sizes": [2, 3], "words_augmentation_join_char": " ", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_yo = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_zh = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": False, "length_word_max_cutoff": 1000, "cond_check_number_words": True, "tokenization": True, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.4, "cond_words_augmentation": True, "words_augmentation_group_sizes": [2, 3], "words_augmentation_join_char": "", "cond_check_stopwords": False, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering = { "default": parameters_filtering_default, "af": parameters_filtering_af, "ar": parameters_filtering_ar, "arz": parameters_filtering_arz, "as": parameters_filtering_as, "bn": parameters_filtering_bn, "ca": parameters_filtering_ca, "en": parameters_filtering_en, "es": parameters_filtering_es, "eu": parameters_filtering_eu, "fr": parameters_filtering_fr, "gu": parameters_filtering_gu, "hi": parameters_filtering_hi, "id": parameters_filtering_id, "kn": parameters_filtering_kn, "ml": parameters_filtering_ml, "mr": parameters_filtering_mr, "pt": parameters_filtering_pt, "so": parameters_filtering_so, "sw": parameters_filtering_sw, "ta": parameters_filtering_ta, "te": parameters_filtering_te, "ur": parameters_filtering_ur, "vi": parameters_filtering_vi, "yo": parameters_filtering_yo, "zh": parameters_filtering_zh, }
# Copyright 2020 The Trieste Contributors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from typing import Dict import pytest import numpy.testing as npt import tensorflow as tf from trieste.acquisition.function import NegativeLowerConfidenceBound from trieste.acquisition.rule import ( EfficientGlobalOptimization, ThompsonSampling, TrustRegion, OBJECTIVE, ) from trieste.data import Dataset from trieste.models import ProbabilisticModel from trieste.space import SearchSpace, DiscreteSearchSpace, Box from tests.util.misc import one_dimensional_range, zero_dataset from tests.util.model import QuadraticWithUnitVariance @pytest.mark.parametrize('datasets', [{}, {"foo": zero_dataset()}]) @pytest.mark.parametrize( 'models', [{}, {"foo": QuadraticWithUnitVariance()}, {OBJECTIVE: QuadraticWithUnitVariance()}] ) def test_trust_region_raises_for_missing_datasets_key( datasets: Dict[str, Dataset], models: Dict[str, ProbabilisticModel] ) -> None: search_space = one_dimensional_range(-1, 1) rule = TrustRegion() with pytest.raises(KeyError): rule.acquire(search_space, datasets, models, None) @pytest.mark.parametrize('models', [ {}, {"foo": QuadraticWithUnitVariance()}, {"foo": QuadraticWithUnitVariance(), OBJECTIVE: QuadraticWithUnitVariance()} ]) @pytest.mark.parametrize('datasets', [{}, {OBJECTIVE: zero_dataset()}]) def test_thompson_sampling_raises_for_invalid_models_keys( datasets: Dict[str, Dataset], models: Dict[str, ProbabilisticModel] ) -> None: search_space = one_dimensional_range(-1, 1) rule = ThompsonSampling(100, 10) with pytest.raises(ValueError): rule.acquire(search_space, datasets, models) @pytest.mark.parametrize('search_space, expected_minimum', [ ( DiscreteSearchSpace(tf.constant([[-2.2, -1.0], [0.1, -0.1], [1.3, 3.3]])), tf.constant([[0.1, -0.1]]) ), (Box(tf.constant([-2.2, -1.0]), tf.constant([1.3, 3.3])), tf.constant([[0.0, 0.0]])), ]) def test_ego(search_space: SearchSpace, expected_minimum: tf.Tensor) -> None: ego = EfficientGlobalOptimization(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.zeros([0, 2]), tf.zeros([0, 1])) query_point, _ = ego.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()} ) npt.assert_array_almost_equal(query_point, expected_minimum, decimal=5) def test_trust_region_for_default_state() -> None: tr = TrustRegion(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.constant([[0.1, 0.2]]), tf.constant([[0.012]])) lower_bound = tf.constant([-2.2, -1.0]) upper_bound = tf.constant([1.3, 3.3]) search_space = Box(lower_bound, upper_bound) query_point, state = tr.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()}, None ) npt.assert_array_almost_equal(query_point, tf.constant([[0.0, 0.0]]), 5) npt.assert_array_almost_equal(state.acquisition_space.lower, lower_bound) npt.assert_array_almost_equal(state.acquisition_space.upper, upper_bound) npt.assert_array_almost_equal(state.y_min, [0.012]) assert state.is_global def test_trust_region_successful_global_to_global_trust_region_unchanged() -> None: tr = TrustRegion(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.constant([[0.1, 0.2], [-0.1, -0.2]]), tf.constant([[0.4], [0.3]])) lower_bound = tf.constant([-2.2, -1.0]) upper_bound = tf.constant([1.3, 3.3]) search_space = Box(lower_bound, upper_bound) eps = 0.5 * (search_space.upper - search_space.lower) / 10 previous_y_min = dataset.observations[0] is_global = True previous_state = TrustRegion.State(search_space, eps, previous_y_min, is_global) query_point, current_state = tr.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()}, previous_state ) npt.assert_array_almost_equal(current_state.eps, previous_state.eps) assert current_state.is_global npt.assert_array_almost_equal(query_point, tf.constant([[0.0, 0.0]]), 5) npt.assert_array_almost_equal(current_state.acquisition_space.lower, lower_bound) npt.assert_array_almost_equal(current_state.acquisition_space.upper, upper_bound) def test_trust_region_for_unsuccessful_global_to_local_trust_region_unchanged() -> None: tr = TrustRegion(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.constant([[0.1, 0.2], [-0.1, -0.2]]), tf.constant([[0.4], [0.5]])) lower_bound = tf.constant([-2.2, -1.0]) upper_bound = tf.constant([1.3, 3.3]) search_space = Box(lower_bound, upper_bound) eps = 0.5 * (search_space.upper - search_space.lower) / 10 previous_y_min = dataset.observations[0] is_global = True acquisition_space = search_space previous_state = TrustRegion.State(acquisition_space, eps, previous_y_min, is_global) query_point, current_state = tr.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()}, previous_state ) npt.assert_array_almost_equal(current_state.eps, previous_state.eps) assert not current_state.is_global npt.assert_array_less(lower_bound, current_state.acquisition_space.lower) npt.assert_array_less(current_state.acquisition_space.upper, upper_bound) assert query_point[0] in current_state.acquisition_space def test_trust_region_for_successful_local_to_global_trust_region_increased() -> None: tr = TrustRegion(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.constant([[0.1, 0.2], [-0.1, -0.2]]), tf.constant([[0.4], [0.3]])) lower_bound = tf.constant([-2.2, -1.0]) upper_bound = tf.constant([1.3, 3.3]) search_space = Box(lower_bound, upper_bound) eps = 0.5 * (search_space.upper - search_space.lower) / 10 previous_y_min = dataset.observations[0] is_global = False acquisition_space = Box(dataset.query_points - eps, dataset.query_points + eps) previous_state = TrustRegion.State(acquisition_space, eps, previous_y_min, is_global) query_point, current_state = tr.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()}, previous_state ) npt.assert_array_less(previous_state.eps, current_state.eps) # current TR larger than previous assert current_state.is_global npt.assert_array_almost_equal(current_state.acquisition_space.lower, lower_bound) npt.assert_array_almost_equal(current_state.acquisition_space.upper, upper_bound) def test_trust_region_for_unsuccessful_local_to_global_trust_region_reduced() -> None: tr = TrustRegion(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.constant([[0.1, 0.2], [-0.1, -0.2]]), tf.constant([[0.4], [0.5]])) lower_bound = tf.constant([-2.2, -1.0]) upper_bound = tf.constant([1.3, 3.3]) search_space = Box(lower_bound, upper_bound) eps = 0.5 * (search_space.upper - search_space.lower) / 10 previous_y_min = dataset.observations[0] is_global = False acquisition_space = Box(dataset.query_points - eps, dataset.query_points + eps) previous_state = TrustRegion.State(acquisition_space, eps, previous_y_min, is_global) query_point, current_state = tr.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()}, previous_state ) npt.assert_array_less(current_state.eps, previous_state.eps) # current TR smaller than previous assert current_state.is_global npt.assert_array_almost_equal(current_state.acquisition_space.lower, lower_bound)
import matplotlib.pyplot as plt import numpy as np import copy import time def brute_force_find_max(array): max_profit = 0 max_left = 0 max_right = 0 for i in range(len(array)): profit = 0 for j in range(i, len(array)-1): profit = profit + array[j] if profit>max_profit: max_left = i max_right = j max_profit = profit return max_left, max_right, max_profit def find_max_crossing_subarray(array, low, mid, high): left_sum = -1500 sum_subarray = 0 max_left = 0 max_right = 0 for i in range(mid, low-1,-1): sum_subarray = sum_subarray + array[i] if sum_subarray > left_sum: left_sum = sum_subarray max_left = i right_sum = -1500 sum_subarray = 0 for i in range(mid+1, high+1): sum_subarray = sum_subarray + array[i] if sum_subarray > right_sum: right_sum = sum_subarray max_right = i return max_left, max_right, (left_sum + right_sum) def find_maximum_subarray(array, low, high): if low == high: return low, high, 0 else: mid = (low+high)//2 left_low, left_high, left_sum = find_maximum_subarray(array, low, mid) right_low, right_high, right_sum = find_maximum_subarray(array, mid+1, high) cross_low, cross_high, cross_sum = find_max_crossing_subarray(array, low, mid, high) if left_sum >= right_sum and left_sum >= cross_sum: return left_low, left_high, left_sum elif right_sum >= left_sum and right_sum >= cross_sum: return right_low, right_high, right_sum else: return cross_low, cross_high, cross_sum def display_plots( size, brute_time, recursive_time): incrementer = brute_time / size array_of_time_brute = [incrementer * x for x in range(size)] n = np.arange(0, size) plt.plot(n, array_of_time_brute,label='$O(n^2)$') incrementer = recursive_time / size array_of_time_recursive = [incrementer * x for x in range(size)] n = np.arange(0, size) plt.plot(n, array_of_time_recursive, label='$O(nlgn)$') temp = np.argwhere(np.diff(np.sign(np.array(array_of_time_brute) - np.array(array_of_time_recursive)))).flatten() print("the intercept is at times: ", temp, " seconds.") plt.xlabel('n') plt.ylabel('seconds') plt.title('Brute Force vs Recursive') plt.grid('on') plt.legend() plt.show() def main(): size_of_array = -1 #makes sure input is positive int while size_of_array < 1: size_of_array = int(input("Enter the size of the array to be filled: ")) if size_of_array < 1: print("please enter a positive number!") # display info to screen print("your number was: ", size_of_array) random_array_of_ints = np.random.randint(-999, 1001, size_of_array) copy_of_array = copy.deepcopy(random_array_of_ints) #print("Array: ", random_array_of_ints) # here we print sorted array #max subarray brute force start_brute = time.time() max_left, max_right, max_profit = brute_force_find_max(random_array_of_ints) end_brute = time.time() print("BRUTE FORCE: max left index: ", max_left, "max right index", max_right, "max profit value: ",max_profit) random_array_of_ints = copy_of_array #max subarray recursive start_recursive = time.time() max_left, max_right, max_profit = find_maximum_subarray(random_array_of_ints, 0, size_of_array-1) end_recursive = time.time() print("RECURSIVE: max left index: ", max_left, "max right index", max_right, "max profit value: ", max_profit) display_plots(size_of_array, (end_brute-start_brute), (end_recursive-start_recursive)) if __name__ == "__main__": main()
"""Utility functions for Dyson Python library.""" import base64 import hashlib import re import time from typing import Tuple from .const import DEVICE_TYPE_360_EYE from .exceptions import DysonFailedToParseWifiInfo # For some devices, the model in WiFi SSID is not the same as the model for MQTT. # The model on Dyson Cloud always matches the one used for MQTT. _DEVICE_TYPE_MAP = { "455A": "455", } def mqtt_time(): """Return current time string for mqtt messages.""" return time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()) def get_credential_from_wifi_password(wifi_password: str) -> str: """Calculate MQTT credential from WiFi password.""" hash_ = hashlib.sha512() hash_.update(wifi_password.encode("utf-8")) return base64.b64encode(hash_.digest()).decode("utf-8") def get_mqtt_info_from_wifi_info( wifi_ssid: str, wifi_password: str ) -> Tuple[str, str, str]: """Get MQTT information from WiFi information.""" result = re.match(r"^[0-9A-Z]{3}-[A-Z]{2}-[0-9A-Z]{8}$", wifi_ssid) if result is not None: serial = wifi_ssid device_type = DEVICE_TYPE_360_EYE else: result = re.match( r"^DYSON-([0-9A-Z]{3}-[A-Z]{2}-[0-9A-Z]{8})-([0-9]{3}[A-Z]?)$", wifi_ssid ) if result is not None: serial = result.group(1) device_type = result.group(2) device_type = _DEVICE_TYPE_MAP.get(device_type, device_type) else: raise DysonFailedToParseWifiInfo credential = get_credential_from_wifi_password(wifi_password) return serial, credential, device_type
from http_parser.parser import HttpParser import aiohttp class EmulatedClient(object): """ Class for emulating the client to the server. Notes: To accomplish a proper man-in-the-middle attack with TLS capability, the man-in-the-middle must be the one sending the original request to the server. With the emulated client we are changing the typical structure: client <-> server To one that looks like so: client <-> mitm (server) <-> mitm (emulated client) <-> server Where we then reply back to the client with the response the emulated client retrieved from the server on behalf of the client. """ def __init__(self, using_ssl): # Creates our HttpParser object. self.http_parser = HttpParser() # Sets flag to whether or not we are using SSL. self.using_ssl = using_ssl async def connect(self, data): # Parses the data coming in. self.http_parser.execute(data, len(data)) host = self.http_parser.get_wsgi_environ()["HTTP_HOST"] uri = self.http_parser.get_wsgi_environ()["RAW_URI"] # Sets the proper URL client is trying to reach. if self.using_ssl: url = f"https://{host}:{uri}" else: url = uri # Retrieves the destination server data. async with aiohttp.ClientSession() as session: async with session.get(url, ssl=False) as response: status = response.status reason = response.reason headers = response.headers response = await response.read() # Re-creates the servers response. resp = f"HTTP/1.1 {status} {reason}\r\n".encode("latin-1") for header in headers: resp += f"{header}: {headers[header]}\r\n".encode("latin-1") resp += b"\r\n" + response # Returns the data. return resp
#!/bin/python # -- coding: utf-8 -- # @brief PovRay Planetary Grid representation # @date 2016/11/28 # @author B.Seignovert (univ-reims@seignovert.fr) # @version 1.0 #---------------------------------------------------- import vapory as pov import numpy as np DIST_SUN = {'TITAN': 1.5e9 } # Distance to the Sun BODY_RADIUS = {'TITAN': 2575 } # Planetary body radius[km] INST_FOV = {'ISSNA': .352, 'ISSWA': 3.52 } # Instrument field of view [deg] class PLANET_GRID: def __init__(self,planet,inst,verbose=True): self.target = planet self.inst = inst self.scene = None self.verbose = verbose return def __repr__(self): return 'PovRay Planetary Grid representation of %s seen by %s.' % (self.target, self,inst) # Convert lon/lat in Cartesian coordinates def XYZ(self,lon,lat): return np.array([ np.cos(np.radians(-lon))np.cos(np.radians(lat)),np.sin(np.radians(lat)),np.sin(np.radians(-lon))np.cos(np.radians(lat)) ]) # Set the observation geometry (Planet + Instrument positions) def setGeo(self,SS,SC,dist,North): SS_xyz = self.XYZ( SS['lon'], SS['lat'] ) ; SC_xyz = self.XYZ( SC['lon'], SC['lat'] ) declares = [ 'SS_lon = %f; // Subsolar longitude [deg_W]' % SS['lon'], 'SS_lat = %f; // Subsolar latitude [deg_N]' % SS['lat'], 'SC_lon = %f; // Subspacecraft longitude [deg_W]' % SC['lon'], 'SC_lat = %f; // Subspacecraft latitude [deg_N]' % SC['lat'], 'R_Body = %f; // Planetary body radius [km]' % BODY_RADIUS[self.target] ] camera = pov.Camera('angle', INST_FOV[self.inst], 'location', SC_xyz * dist, 'look_at', [0,0,0],'Axis_Rotate_Trans(',SC_xyz,',',-North,')') light = pov.LightSource(SS_xyz * DIST_SUN[self.target], 'color','White') obj = pov.Object('Grid') self.scene = pov.Scene(declares=declares, camera=camera, objects=[light,obj], included=['colors.inc','transforms.inc','Planet_grid.inc']) return self # Render with PovRay script def render(self,filename=None,width=None,height=None): if filename is None: filename = '%s-%s.png' % (self.target, self.inst) if self.scene is None: raise ValueError('Planet geo is not set. Run self.setGeo(SS,SC,dist,North)') if self.verbose: print '>> Rendering PovRay Grid Globe...' self.scene.render(filename , width=width, height=height, antialiasing=0.01) return if __name__ == '__main__': # ISS image of Titan (N1827821295_1) width = 1024 height = 1024 inst = 'ISSNA' target = 'TITAN' SS = {'lat': 25.6, 'lon': 129.4} SC = {'lat': 0.4, 'lon': 277.0} dist = 1.4e6 North = -178.7 filename = None import sys if sys.argv[1] in ['-h', '--help', 'usage']: print 'USAGE: python grid.py filename SC_lat SC_lon SS_lat SS_lon dist north [NAC\|WAC]' sys.exit() if len(sys.argv) > 1: filename = sys.argv[1] SC['lat'] = float(sys.argv[2]) SC['lon'] = float(sys.argv[3]) SS['lat'] = float(sys.argv[4]) SS['lon'] = float(sys.argv[5]) dist = float(sys.argv[6]) North = float(sys.argv[7]) if len(sys.argv) > 8: if 'NA' in sys.argv[8]: inst = 'ISSNA' elif 'WA' in sys.argv[8]: inst = 'ISSWA' else: raise ValueError('Instrument unknown') PLANET_GRID(target,inst).setGeo(SS,SC,dist,North).render(filename=filename,width=width,height=height)
from django.urls import path from . import views urlpatterns = [ path('home/',views.terminal_home, name='index'), path('latest/',views.terminal_news,name='terminal_news'), path('sign-in/',views.sign_in,name='sign-in') ]
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Base value for integer blank. can be used as an unspecified blank DCGM_INT32_BLANK = 0x7ffffff0 DCGM_INT64_BLANK = 0x7ffffffffffffff0 # Base value for double blank. 2 ** 47. FP 64 has 52 bits of mantissa, #so 47 bits can still increment by 1 and represent each value from 0-15 DCGM_FP64_BLANK = 140737488355328.0 DCGM_STR_BLANK = "<<<NULL>>>" # Represents an error where data was not found DCGM_INT32_NOT_FOUND = (DCGM_INT32_BLANK+1) DCGM_INT64_NOT_FOUND = (DCGM_INT64_BLANK+1) DCGM_FP64_NOT_FOUND = (DCGM_FP64_BLANK+1.0) DCGM_STR_NOT_FOUND = "<<<NOT_FOUND>>>" # Represents an error where fetching the value is not supported DCGM_INT32_NOT_SUPPORTED = (DCGM_INT32_BLANK+2) DCGM_INT64_NOT_SUPPORTED = (DCGM_INT64_BLANK+2) DCGM_FP64_NOT_SUPPORTED = (DCGM_FP64_BLANK+2.0) DCGM_STR_NOT_SUPPORTED = "<<<NOT_SUPPORTED>>>" # Represents and error where fetching the value is not allowed with our current credentials DCGM_INT32_NOT_PERMISSIONED = (DCGM_INT32_BLANK+3) DCGM_INT64_NOT_PERMISSIONED = (DCGM_INT64_BLANK+3) DCGM_FP64_NOT_PERMISSIONED = (DCGM_FP64_BLANK+3.0) DCGM_STR_NOT_PERMISSIONED = "<<<NOT_PERM>>>" ############################################################################### # Functions to check if a value is blank or not def DCGM_INT32_IS_BLANK(val): if val >= DCGM_INT32_BLANK: return True else: return False def DCGM_INT64_IS_BLANK(val): if val >= DCGM_INT64_BLANK: return True else: return False def DCGM_FP64_IS_BLANK(val): if val >= DCGM_FP64_BLANK: return True else: return False #Looks for <<< at first position and >>> inside string def DCGM_STR_IS_BLANK(val): if 0 != val.find("<<<"): return False elif 0 > val.find(">>>"): return False return True ############################################################################### class DcgmValue: def __init__(self, value): self.value = value #Contains either an integer (int64), string, or double of the actual value ########################################################################### def SetFromInt32(self, i32Value): ''' Handle the special case where our source data was an int32 but is currently stored in a python int (int64), dealing with blanks ''' value = int(i32Value) if not DCGM_INT32_IS_BLANK(i32Value): self.value = value return if value == DCGM_INT32_NOT_FOUND: self.value = DCGM_INT64_NOT_FOUND elif value == DCGM_INT32_NOT_SUPPORTED: self.value = DCGM_INT64_NOT_SUPPORTED elif value == DCGM_INT32_NOT_PERMISSIONED: self.value = DCGM_INT64_NOT_PERMISSIONED else: self.value = DCGM_INT64_BLANK ########################################################################### def IsBlank(self): ''' Returns True if the currently-stored value is a blank value. False if not ''' if self.value is None: return True elif type(self.value) == int or type(self.value) == long: return DCGM_INT64_IS_BLANK(self.value) elif type(self.value) == float: return DCGM_FP64_IS_BLANK(self.value) elif type(self.value) == str: return DCGM_STR_IS_BLANK(self.value) else: raise Exception("Unknown type: %s") % str(type(self.value)) ########################################################################### def __str__(self): return str(self.value) ########################################################################### ############################################################################### def self_test(): v = DcgmValue(1.0) assert(not v.IsBlank()) assert(v.value == 1.0) v = DcgmValue(100) assert(not v.IsBlank()) assert(v.value == 100) v = DcgmValue(DCGM_INT64_NOT_FOUND) assert(v.IsBlank()) v = DcgmValue(DCGM_FP64_NOT_FOUND) assert(v.IsBlank()) v.SetFromInt32(DCGM_INT32_NOT_SUPPORTED) assert(v.IsBlank()) assert(v.value == DCGM_INT64_NOT_SUPPORTED) print "Tests passed" return ############################################################################### if __name__ == "__main__": self_test() ###############################################################################
# -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- import os from azure.identity import DefaultAzureCredential from azure.mgmt.resource import ApplicationClient, ResourceManagementClient def main(): SUBSCRIPTION_ID = os.environ.get("SUBSCRIPTION_ID", None) GROUP_NAME = "testgroupx" GROUP_NAME_2 = "testgroupx2" APP_DEF_NAME = "applicationdefinition" APPLICATION_NAME = "applicationtest" # Create client # For other authentication approaches, please see: https://pypi.org/project/azure-identity/ app_client = ApplicationClient( credential=DefaultAzureCredential(), subscription_id=SUBSCRIPTION_ID ) resource_client = ResourceManagementClient( credential=DefaultAzureCredential(), subscription_id=SUBSCRIPTION_ID ) # Create resource group resource_client.resource_groups.create_or_update( GROUP_NAME, {"location": "eastus"} ) resource_client.resource_groups.create_or_update( GROUP_NAME_2, {"location": "eastus"} ) # Create application definition app_definition = app_client.application_definitions.begin_create_or_update( GROUP_NAME, APP_DEF_NAME, { "lock_level": "None", "display_name": "myManagedApplicationDef", "description": "myManagedApplicationDef description", "authorizations": [], "package_file_uri": "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/101-managed-application/artifacts/ManagedAppZip/pkg.zip", "location": "East US" } ).result() print("Create application definition: {}".format(app_definition)) # Get application definition app_definition = app_client.application_definitions.get( GROUP_NAME, APP_DEF_NAME ) print("Get application definition: {}".format(app_definition)) # Create application app = app_client.applications.begin_create_or_update( GROUP_NAME, APPLICATION_NAME, { "application_definition_id": app_definition.id, "managed_resource_group_id": "/subscriptions/" + SUBSCRIPTION_ID + "/resourceGroups/myManagedRG" + GROUP_NAME_2, "location": "East US", "kind": "ServiceCatalog" } ) # ).result() print("Create application: {}".format(app)) # Get application app = app_client.applications.get( GROUP_NAME, APPLICATION_NAME ) print("Get application: {}".format(app)) # Update application app = app_client.applications.update( GROUP_NAME, APPLICATION_NAME, { "managed_resource_group_id": "/subscriptions/" + SUBSCRIPTION_ID + "/resourceGroups/myManagedRG" + GROUP_NAME_2, "kind": "ServiceCatalog" } ) print("Update application: {}".format(app)) # Delete application app_client.applications.begin_delete( GROUP_NAME, APPLICATION_NAME ).result() print("Delete application.") # Delete application definition app_client.application_definitions.begin_delete( GROUP_NAME, APP_DEF_NAME ).result() print("Delete appliation definition.") if __name__ == "__main__": main()
import numpy as np import platform import matplotlib as mpl if platform.system() == 'Darwin': # avoid bugs in some versions of matplotlib with macOS catalina mpl.use('Qt5Agg') import matplotlib.pyplot as plt import networkx as nx from typing import Any, Callable, List, Union from .agents import BaseAgent, SingleIntegratorAgent from .event_trigger import EventTrigger from .common import length, calculate_convex_optimal class MultiagentControl(): def __init__(self, num_agents: int, id: int = None, graph: nx.Graph = None, agents: List[BaseAgent] = None, agent_type: BaseAgent = SingleIntegratorAgent, state_dim: int = 1, init_state: List[List[float]] = None, step_size: float = 1.0): """Initialisation for the multi-agent system Args: num_agents (int): Number of agents in the network id (int, optional): Identifier of the multi-agent system. Defaults to None. graph (nx.Graph, optional): Graph representation of the communication network. Defaults to a random regular graph. agents (List[BaseAgent], optional): List of the agents. Defaults to None. agent_type (BaseAgent, optional): Type of the agents. Defaults to SingleIntegratorAgent. state_dim (int, optional): Dimension of the agents' internal state. Defaults to 1. init_state (List[List[float]], optional): Initial states for all agents. Defaults to None. step_size (float, optional): Step size for time discretisation. Defaults to 1.0. """ self.num_agents = num_agents self.state_dim = state_dim self.step_size = step_size self.id = id if graph is not None: self.graph = graph else: self.graph = nx.random_regular_graph(2, num_agents) self.laplacian = nx.laplacian_matrix(graph) if init_state is None: self.agents = agents if agents is not None else [agent_type(state_dim=state_dim, step_size=step_size) for _ in range(self.num_agents)] else: self.agents = agents if agents is not None else [agent_type(state_dim=state_dim, step_size=step_size, init_state=init_state[i]) for i in range(self.num_agents)] for i in range(self.num_agents): for j in range(self.num_agents): Lij = self.laplacian[i,j] if Lij < 0: self.agents[i].add_neighbours(self.agents[j], -Lij) def step(self): """Proceed one step for all agents """ for agent in self.agents: agent.step() def reset(self): """Reset the multi-agent system """ # TODO: implement the reset function pass def set_triggering_law(self, trigger: 'EventTrigger'): """Set the event-triggering law for all agents Args: trigger (EventTrigger): Event-triggering law to be set """ for agent in self.agents: agent.set_triggering_law(trigger) def set_objective_functions(self, objective_functions: List[Callable]): """Set the objective functions for each agent Args: objective_functions (List[Callable]): List of objective functions for each agent, according to the agent id """ self.global_obj = lambda x: np.sum([f(x) for f in objective_functions]) for i in range(self.num_agents): self.agents[i].set_objective_function(objective_functions[i]) def set_dynamics_functions(self, dynamics_functions: List[Callable]): """Set the dynamics functions for each agent Args: dynamics_functions (List[Callable]): [description] """ for i in range(self.num_agents): self.agents[i].set_dynamics_function(dynamics_functions[i]) def get_id(self) -> Union[int, None]: """Get the object identifier if it exists Returns: Union[int, None]: the object identifier """ return self.id def get_num_agents(self) -> int: """Get the number of agents in the multi-agent system Returns: int: number of agents in the system """ return self.num_agents def get_time(self) -> float: """Get the current time of the multi-agent system Returns: float: current time """ _t = np.array(self.agents[0].stat['t']) return _t def get_step_size(self) -> float: """Get the step size of the multi-agent system Returns: float: step size """ return self.step_size def get_states(self) -> List[np.array]: """Get the states of all agents Returns: List[np.array]: List of states of agents """ return [agent.stat['x'] for agent in self.agents] def get_mean_states(self) -> np.array: """Get the mean state of all agents Returns: np.array: mean state of all agents """ return np.mean([agent.get_state() for agent in self.agents], axis=0) def get_current_consensus_error(self) -> float: """Get the latest consensus error Returns: float: latest consensus error """ return self.get_consensus_error()[-1] def get_consensus_error(self) -> np.array: """Get the consensus error for all time instances Returns: np.array: consensus error """ _err = 0 _shape = np.transpose(self.agents[0].stat['x']).shape _e = np.zeros(_shape) try: _e = 0 for agent in self.agents: _e += np.transpose(agent.stat['x']) _e = _e / self.num_agents except AttributeError: _e = 0 for agent in self.agents: _e += np.transpose(agent.stat['x']) _e = _e / self.num_agents for agent in self.agents: _err += (np.transpose(agent.stat['x']) - _e) ** 2 _err = np.sum(_err, axis=0) return _err def get_communication_rate(self) -> float: """Get the average communication rate for all time instances Returns: float: average communication rate """ _Gamma = 0 _gammas = 0 _t = self.get_time() for agent in self.agents: _gammas = _gammas + np.array(agent.stat['gamma']) _gammas[0] = 0 _t[0] = 1e-5 _Gamma = np.cumsum(_gammas) / (self.num_agents * _t) _Gamma[0] = 0 return _Gamma def get_state_dim(self) -> int: """Get the dimension of agent states Returns: int: state dimension """ return self.state_dim def plot_states(self, index: int = 1, grid: bool = True, xlim: tuple = None, ylim: tuple = None, zoom: bool = True): """Plot the agent states Args: index (int, optional): figure index. Defaults to 1. grid (bool, optional): whether of not to display grid. Defaults to True. xlim (tuple, optional): display limit on x axis. Defaults to None. ylim (tuple, optional): display limit on y axis. Defaults to None. zoom (bool, optional): whether of not to create zoomed view. Defaults to True. """ for k in range(self.num_agents): agent = self.agents[k] _t = agent.stat['t'] _x = np.transpose(agent.stat['x']) for n in range(self.state_dim): fig = plt.figure(n+index) _xn = _x[n] plt.plot(_t, _xn, label='Agent ' + str(k+1)) plt.xlabel('$t$', fontsize=14) plt.ylabel('$x_i^' + str(n+1) + '(t)$', fontsize=14) try: _obj = self.global_obj _opt_sol = calculate_convex_optimal(_obj, self.state_dim) if self.state_dim == 1: _v = np.ones(length(_t)) * _opt_sol plt.plot(_t, _v, label='Optimal Value', linestyle='dashdot') else: for n in range(self.state_dim): plt.figure(n+index) _v = np.ones(length(_t)) * _opt_sol[n] plt.plot(_t, _v, label='Optimal Value', linestyle='dashdot') except AttributeError: pass for n in range(self.state_dim): plt.figure(n+index) if self.num_agents < 10: plt.legend() if grid: plt.grid(True) if xlim != None: plt.xlim(xlim) if ylim != None: plt.ylim(ylim) if zoom: for n in range(self.state_dim): fig = plt.figure(n+index) ax_new = fig.add_axes([0.2, 0.175, 0.35, 0.225]) for k in range(self.num_agents): agent = self.agents[k] _t = agent.stat['t'] _x = np.transpose(agent.stat['x']) _xn = _x[n] plt.plot(_t[0:160], _xn[0:160]) ax_new.set_xlim([0, 0.4]) # ax_new.set_ylim(ylim) def plot_consensus_error(self, index: int = None, loglog: bool = False, semilogy: bool = True, grid: bool = True, label: bool = '', color: str = None, xlim: tuple = None, ylim: tuple = None, zoom: bool = True, fig = None, ax1 = None, ax_new = None, zoom_xlim: tuple = None, zoom_ylim: tuple = None, zoom_pos: List[float] = [0.325, 0.65, 0.35, 0.225]): """Plot the consensus error Args: index (int, optional): figure index. Defaults to None. loglog (bool, optional): log-log scale. Defaults to False. semilogy (bool, optional): semilog-y scale. Defaults to True. grid (bool, optional): display grid. Defaults to True. label (bool, optional): figure label. Defaults to ''. color (str, optional): plot colour. Defaults to None. xlim (tuple, optional): display limit on x axis. Defaults to None. ylim (tuple, optional): display limit on y axis. Defaults to None. zoom (bool, optional): display zoomed view. Defaults to True. fig ([type], optional): figure to superpose on. Defaults to None. ax1 ([type], optional): axis to superpose on. Defaults to None. ax_new ([type], optional): new axis. Defaults to None. zoom_xlim (tuple, optional): range limit on x axis of the zoomed view. Defaults to None. zoom_ylim (tuple, optional): range limit on y axis of the zoomed view. Defaults to None. zoom_pos (List[float], optional): zoomed view position. Defaults to [0.325, 0.65, 0.35, 0.225]. Returns: Any: figure, ax1, ax_new """ if index is None: index = self.state_dim + 1 _t = self.get_time() _err = self.get_consensus_error() if fig is None and ax1 is None: fig = plt.figure(index) ax1 = plt.subplot(1,1,1, label='ce') if loglog: plot = ax1.loglog elif semilogy: plot = ax1.semilogy else: plot = ax1.plot if color != None: plot(_t, _err, label=label, color=color) else: plot(_t, _err, label=label) ax1.set_xlabel(r'$t$', fontsize=14) ax1.set_ylabel(r'$\varepsilon(t)$', fontsize=14) if grid: ax1.grid(True) if label != '' or label != None: ax1.legend() if xlim != None: ax1.set_xlim(xlim) if ylim != None: ax1.set_ylim(ylim) if zoom: if ax_new is None: ax_new = fig.add_axes(zoom_pos) if loglog: plot = ax_new.loglog elif semilogy: plot = ax_new.semilogy else: plot = ax_new.plot if color != None: plot(_t, _err, color=color) else: plot(_t, _err) if zoom_xlim != None: ax_new.set_xlim(zoom_xlim) else: ax_new.set_xlim([0, 2]) if zoom_ylim != None: ax_new.set_ylim(zoom_ylim) return fig, ax1, ax_new def plot_communication_rate(self, index: int = None, grid: bool = True, label: str = '', color: str = None, xlim: tuple = None, ylim: tuple = None, legend_loc: int = 1, zoom: bool = True, fig = None, ax1 = None, ax_new = None, zoom_xlim: tuple = None, zoom_ylim: tuple = None, zoom_pos: List[float] = [0.17, 0.65, 0.35, 0.225]): """Plot the average communication rate Args: index (int, optional): figure index. Defaults to None. grid (bool, optional): display grid. Defaults to True. label (str, optional): figure label. Defaults to ''. color (str, optional): plot colour. Defaults to None. xlim (tuple, optional): display limit on x axis. Defaults to None. ylim (tuple, optional): display limit on y axis. Defaults to None. legend_loc (int, optional): legend location. Defaults to 1. zoom (bool, optional): display zoomed view. Defaults to True. fig ([type], optional): figure to superpose on. Defaults to None. ax1 ([type], optional): axis to superpose on. Defaults to None. ax_new ([type], optional): new axis. Defaults to None. zoom_xlim (tuple, optional): range limit on x axis of the zoomed view. Defaults to None. zoom_ylim (tuple, optional): range limit on y axis of the zoomed view. Defaults to None. zoom_pos (List[float], optional): zoomed view position. Defaults to [0.17, 0.65, 0.35, 0.225]. Returns: Any: figure, ax1, ax_new """ if index is None: index = self.state_dim + 2 _t = self.get_time() _Gamma = self.get_communication_rate() if fig is None and ax1 is None: fig = plt.figure(index) ax1 = plt.subplot(1,1,1, label='ce') if color != None: ax1.plot(_t, _Gamma, label=label, color=color) else: ax1.plot(_t, _Gamma, label=label) ax1.set_xlabel(r'$t$', fontsize=14) ax1.set_ylabel(r'$\Gamma(t)$', fontsize=14) if grid: ax1.grid(True) if label != '' or label != None: ax1.legend(loc=legend_loc) if xlim != None: ax1.set_xlim(xlim) if ylim != None: ax1.set_ylim(ylim) if zoom: if ax_new is None: ax_new = fig.add_axes(zoom_pos) if color != None: plt.plot(_t, _Gamma, color=color) else: plt.plot(_t, _Gamma) if zoom_xlim != None: ax_new.set_xlim(zoom_xlim) else: ax_new.set_xlim([0, 2]) if zoom_ylim != None: ax_new.set_ylim(zoom_ylim) return fig, ax1, ax_new def plot_interevent_time(self, index = 100, grid = True, label = '', color = None, xlim = None, ylim = None, legend_loc = 1): # TODO: plot the interevent interval pass def draw_graph(self, index: int = None): """Display the underlying communication graph of the multi-agent system Args: index (int, optional): figure index. Defaults to 100. """ plt.figure(index) nx.draw(self.graph) def show_plots(self): """Alias function for plt.show() from matplotlib """ plt.show()
''' Unit tests for module utility_functions ''' import unittest from utility_functions import calculate_distance, delete_indexes from class_definitions import ThreeDimensionalPoint class TestDistance(unittest.TestCase): '''Test return value and test type error ''' # Check if calculation is done correctly def test_distance(self): ''' Check if calculation is done correctly ''' # Check to see if the distance is calculated correctly 1, 1, 1 to 1, 1, 2 should be 1 self.assertAlmostEqual(calculate_distance(ThreeDimensionalPoint(1, 1, 1), ThreeDimensionalPoint(1, 1, 2)), 1) # Check if the distance from a point to itself is 0 self.assertAlmostEqual(calculate_distance(ThreeDimensionalPoint(1, 2, 3), ThreeDimensionalPoint(1, 2, 3)), 0) # Check if the distance is calculated correctly(Should be: 6.928203230275509) self.assertAlmostEqual(calculate_distance(ThreeDimensionalPoint(-1, -2, -3), ThreeDimensionalPoint(-5, -6, -7)), 6.928203230275509) def test_inputs(self): ''' Check if type errors are raised correctly ''' # 1. Test response to wrong type # 1.1 arg1 of correct type, arg2 of wrong type self.assertRaises(TypeError, calculate_distance, ThreeDimensionalPoint(-5, -6, -7), 5) # 1.2 arg1 of wrong type, arg2 of correct type self.assertRaises(TypeError, calculate_distance, 5, ThreeDimensionalPoint(-5, -6, -7)) class TestDeleteIndexes(unittest.TestCase): ''' Test type errors and value errors ''' # Check to see if type errors and value errors are raised correctly def test_inputs(self): ''' Test for errors with wrong type and empty list ''' # 1. Test response to wrong type # 1.1 arg1 of correct type, arg2 of wrong type self.assertRaises(TypeError, delete_indexes, [1, 2, 3, 4, 5], 5) # 1.2 arg1 of wrong type, arg2 of correct type self.assertRaises(TypeError, delete_indexes, 5, [1, 2, 3, 4, 5]) # 2. Test response to empty list # 2.1 arg1 of correct type, arg2 empty list self.assertRaises(ValueError, delete_indexes, [0, 1, 2], []) # 2.2 arg1 empty list, arg2 of correct type self.assertRaises(ValueError, delete_indexes, [], [0, 1, 2]) # 3. Test if code is correctly working data = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] deletion = [0, 3, 6, 9] correct_result = [1, 2, 4, 5, 7, 8] self.assertEqual(delete_indexes(data, deletion), correct_result)
#!/opt/conda_envs/collection-2018-1.0/bin/python import sys import os fname1 = sys.argv[1] fname2 = sys.argv[2] pinAlignDir = os.environ['PINALIGNDIR'] baseDirectory = os.environ["PWD"] beamline = os.environ["BEAMLINE_ID"] runningDir = baseDirectory + "/pinAlign" os.chdir(runningDir) scriptName = os.path.join(pinAlignDir, f'pin_align_{beamline}.sh') comm_s = f'{scriptName} {fname1} {fname2}' lines = os.popen(comm_s).readlines() tilted = False ##### TODO add check for high values for outputline in lines: if (outputline.find("TILTED") != -1 or outputline.find('MISSING') != -1 or outputline.find('VIOLATION') != -1): print(outputline) tilted = True sys.exit() if (not tilted): for outputline in lines: try: if (outputline.find("OVERALL X,Y,Z OFFSETS TO CENTER") != -1): index_s = outputline.find("[") substring = outputline[index_s + 1:len(outputline) - 3] offsetTokens = substring.split(',') print(offsetTokens[0] + " " + offsetTokens[1] + " " + offsetTokens[2]) sys.exit() except Exception: print('Top-view error, pin could be out of view, manual centering required')
import unittest class UnionFind: def __init__( self ): self.numberOfDisjointSets = 0 self.elementToRepresentativeDict = dict() def add( self, element ): assert element not in self.elementToRepresentativeDict self.elementToRepresentativeDict[ element ] = element self.numberOfDisjointSets += 1 def merge( self, elementA, elementB ): assert elementA in self.elementToRepresentativeDict and elementB in self.elementToRepresentativeDict _representativeA = self.representative( elementA ) _representativeB = self.representative( elementB ) if _representativeA != _representativeB: self.elementToRepresentativeDict[ _representativeA ] = _representativeB self.numberOfDisjointSets -= 1 def representative( self, element ): assert element in self.elementToRepresentativeDict _representative = self.elementToRepresentativeDict[ element ] if _representative == element: return _representative _representative = self.elementToRepresentativeDict[ element ] = self.representative( _representative ) return _representative def getDisjointSets( self ): representativeToElementsDict = dict() for element in self.elementToRepresentativeDict.keys(): representative = self.representative( element ) if representative not in representativeToElementsDict: representativeToElementsDict[ representative ] = list() representativeToElementsDict[ representative ].append( element ) return list( representativeToElementsDict.values() ) class CallingCirclesComparator: @staticmethod def compare( testObject, circleList1, circleList2 ): circleSet1 = set() circleSet2 = set() for circleElementList in circleList1: circleSet1.add( '#'.join( sorted( circleElementList ) ) ) for circleElementList in circleList2: circleSet2.add( '#'.join( sorted( circleElementList ) ) ) testObject.assertEqual( circleSet1, circleSet2 ) class CallingCircles: def __init__( self, callLogList ): self.callLogDict = dict() for caller, callee in callLogList: for customer in (caller, callee): if customer not in self.callLogDict: self.callLogDict[ customer ] = list() self.callLogDict[ caller ].append( callee ) self.uf = UnionFind() for caller in self.callLogDict: self.uf.add( caller ) def circles( self ): for caller in self.callLogDict.keys(): self._search( caller, set(), set(), list() ) return self.uf.getDisjointSets() def _search( self, caller, visited, pathTaken, pathTakenStack ): if caller in visited: return if caller in pathTaken: index = -1 while pathTakenStack[ index ] != caller: self.uf.merge( caller, pathTakenStack[ index ] ) index = index - 1 return pathTaken.add( caller ) pathTakenStack.append( caller ) for callee in self.callLogDict[ caller ]: self._search( callee, visited, pathTaken, pathTakenStack ) pathTakenStack.pop() pathTaken.remove( caller ) visited.add( caller ) class CallingCirclesTest( unittest.TestCase ): def test_callingCircles( self ): for datafile in ('example', 'sample', 'callingcircles'): self._verify( datafile ) def _verify( self, datafile ): callingCirclesObjectList = list() testcaseCount = 0 with open( 'tests/{}.in'.format( datafile ) ) as inputFile: while True: m, n = map( int, inputFile.readline().strip().split() ) if m == 0 and n == 0: break testcaseCount += 1 print( 'datafile = {} testcase = {} CallLog Size = {}'.format( datafile, testcaseCount, n ) ) callLogList = list() for _ in range( n ): callLogList.append( tuple( inputFile.readline().strip().split() ) ) callingCirclesObjectList.append( CallingCircles( callLogList ) ) index = 0 currentCallingCircle = list() with open( 'tests/{}.ans'.format( datafile ) ) as solutionFile: for line in solutionFile.readlines(): line = line.strip() if 'Calling circles' in line: continue if len( line ) == 0: CallingCirclesComparator.compare( self, currentCallingCircle, callingCirclesObjectList[ index ].circles() ) index += 1 currentCallingCircle = list() else: currentCallingCircle.append( list( map( lambda name : name.strip(), line.split( ',' ) ) ) ) if len( currentCallingCircle ) > 0: CallingCirclesComparator.compare( self, currentCallingCircle, callingCirclesObjectList[ index ].circles() ) if __name__ == '__main__': unittest.main()
# -*- coding: utf-8 def create_auth_token(auth_token_store, user): return auth_token_store.create(user)
# -- coding: utf-8 -- """ Created on Sun Oct 28 09:51:36 2018 @author: user """ from ynltk import Langvowel, OmnibusStem txt = "Dit is een boek." l=Langvowel() s=OmnibusStem() print(l.langvowel(txt)) print(s.compStemmer("haus","huis"))
import re from ansible.plugins.action import ActionBase class ActionModule(ActionBase): prefix = 'rails' private_var_names = [ 'deploy_user', 'env', 'env_vars', 'gemset', 'group', 'root_dir', 'ruby', 'rvm', 'service', 'user', ] path_re = re.compile(r'^/[-_./a-z0-9]$') common_name_re = re.compile(r'^[a-z_][a-z0-9_-]{0,30}(\$\|[a-z0-9_-])?$') env_var_name_re = re.compile(r'^[a-zA-Z_][a-zA-Z0-9_]$') ruby_version_re = re.compile(r'^ruby-[0-9]+\.[0-9]+\.[0-9]+$') domain_name_re = re.compile( r'^(?:[a-z0-9]' # First character of the domain r'(?:[a-z0-9-_]{0,61}[a-z0-9])?\.)' # Sub domain + hostname r'+[a-z0-9][a-z0-9-_]{0,61}' # First 61 characters of the gTLD r'[a-z0-9]$' # Last character of the gTLD ) def run(self, tmp=None, task_vars=None): if task_vars is None: task_vars = dict() result = super(ActionModule, self).run(tmp, task_vars) result['changed'] = False result['failed'] = False for var_name in self.private_var_names: full_var_name = '%s__%s' % (self.prefix, var_name) validator = getattr(self, 'validate_' + var_name) value = task_vars[full_var_name] msg_part = validator(value) if msg_part is not None: value = str(value) if len(value) <= 30: partial_value = value else: partial_value = '%s...' % value[0:30] full_msg = "Invalid var '%s' with value '%s': %s" % ( full_var_name, partial_value, msg_part, ) result['failed'] = True result['msg'] = full_msg return result return result def validate_deploy_user(self, value): if not isinstance(value, str): return 'is not str' if not self.common_name_re.fullmatch(value): return 'has invalid format' def validate_env(self, value): if not isinstance(value, str): return 'is not str' if value not in ['production', 'staging']: return 'is invalid' def validate_env_vars(self, obj): if not isinstance(obj, dict): return 'is not dict' if not all(isinstance(key, str) for key in obj.keys()): return 'key is not str' if not all(self.env_var_name_re.fullmatch(key) for key in obj.keys()): return 'key has invalid format' def validate_gemset(self, value): if not isinstance(value, str): return 'is not str' if not self.common_name_re.fullmatch(value): return 'has invalid format' def validate_group(self, value): if not isinstance(value, str): return 'is not str' if not self.common_name_re.fullmatch(value): return 'has invalid format' def validate_root_dir(self, value): if not isinstance(value, str): return 'is not str' if not self.path_re.fullmatch(value): return 'has invalid format' def validate_ruby(self, value): if not isinstance(value, str): return 'is not str' if not self.ruby_version_re.fullmatch(value): return 'has invalid format' def validate_rvm(self, value): if not isinstance(value, str): return 'is not str' if not self.path_re.fullmatch(value): return 'has invalid format' def validate_service(self, value): if not isinstance(value, str): return 'is not str' if not self.common_name_re.fullmatch(value): return 'has invalid format' def validate_user(self, value): if not isinstance(value, str): return 'is not str' if not self.common_name_re.fullmatch(value): return 'has invalid format'
#!/usr/bin/env python # -- coding: utf-8 -- from os import path import smtplib import quopri from jinja2 import Template from PyMassMailer.ConfigData import ConfigData from PyMassMailer.SenderMail import SenderMail from PyMassMailer.DataParser import DataParser from PyMassMailer.TemplateEngine import TemplateEngine if __name__ == "__main__": conf = ConfigData() data_parser = DataParser(conf.get_section('data')) address = data_parser.getData() engine = TemplateEngine(Template) sender = SenderMail(conf, smtplib, engine) view = open( path.normpath('templates/test.html'), 'r', encoding='UTF-8' ).read() # print(view) sender.set_address(address).send_all( view, {}, 'test' )
from newton.trade.tools import last_price from newton.rules.exit.base import Exit class BuyLowerExit(Exit): def __init__(self, exit_price, name=None): super().__init__(name=name) self.exit_price = exit_price def can_exit(self, trade): return self.exit_price > last_price(trade.currency_pair)
# ImageNet-CoG Benchmark # Copyright 2021-present NAVER Corp. # 3-Clause BSD License import logging from typing import List import numpy as np import torch as th logger = logging.getLogger() class FeatureSet(): """ Store (image feature, label) pairs. """ def __init__(self, x, y, name): assert x.shape[0] == y.shape[0] self.name = name self.x = x self.y = y def print_info(self): logger.info("FeatureSet:{} \| x:{}, y:{} \| x.norm:{:.3f} +- {:.3f}, x.non_zero:{:.3f} \| unique(y):{}".format( self.name, list(self.x.shape), list(self.y.shape), self.x.norm(dim=1, p=2).mean(), self.x.norm(dim=1, p=2).std(), (self.x != 0).float().sum(dim=1).mean(), th.unique(self.y).shape[0] )) def to_gpu(self): """ Move the tensors into GPU. """ self.x = self.x.to("cuda") self.y = self.y.to("cuda") def move_data_to_cuda(data_sets: List[FeatureSet]): """ Moves the data to GPU if we have enough GPU memory. """ mem_1gb = 1024 * 1024 * 1024 mem_required = sum([np.prod(set.x.shape) for set in data_sets]) * 4 + 2 * mem_1gb # a float is 4 bytes mem_available = th.cuda.get_device_properties(0).total_memory mem_available -= th.cuda.memory_cached(0) + th.cuda.memory_allocated(0) def in_gb(x): return x / mem_1gb logger.info("{:.1f}GB GPU memory available, {:.1f}GB required.".format(in_gb(mem_available), in_gb(mem_required))) if mem_available > mem_required: logger.info("Moving all the data to GPU.") for set in data_sets: set.to_gpu() else: logger.info("Not enough space in GPU. Data will stay in CPU memory.") def load_feature_set(path, name="", normalize=False): """ Loads features from the file (path). The file is expected to be saved by torch.save and contain torch.tensors named X and Y. normalize: whether to apply l2 normalization or not. """ # load features pkl = th.load(path, "cpu") X = pkl["X"] Y = pkl["Y"] name = pkl.get("name", name) assert X.shape[0] == Y.shape[0] logger.info(f"Features of {name} are loaded.") if normalize: logger.info("Applying l2-normalization to the features.") X = normalize_features(X) fset = FeatureSet(X, Y, name) return fset def normalize_features(X): """ L2-Normalizes the features. """ if isinstance(X, np.ndarray): norm = np.linalg.norm(X, axis=1) X = X / (norm + 1e-5)[:, np.newaxis] elif isinstance(X, th.Tensor): X = th.nn.functional.normalize(X, p=2, dim=1) else: raise NotImplementedError("Unknown type:{}".format(type(X))) return X def split_trainset(trainset, p_val=0.2): """ Randomly split the trainin set into train and val. Args: p_val: percentage of the validation set. """ train_inds = [] val_inds = [] for cix in th.unique(trainset.y): # samples belonging to this class cix inds = th.where(trainset.y == cix)[0] # random ordering of these samples order = th.randperm(inds.shape[0]) inds = inds[order] # number of validation samples n_val = int(inds.shape[0] * p_val) # split the indices into train and val train_inds.append(inds[:-n_val]) val_inds.append(inds[-n_val:]) train_inds = th.cat(train_inds, dim=0) val_inds = th.cat(val_inds, dim=0) assert len(trainset.y) == len(train_inds) + len(val_inds), \ "While splitting the training set into (train, val), some samples are ignored." assert len(np.intersect1d(train_inds.numpy(), val_inds.numpy())) == 0, \ "Training and validation sets overlap!" x_train = trainset.x[train_inds] y_train = trainset.y[train_inds] x_val = trainset.x[val_inds] y_val = trainset.y[val_inds] return ( FeatureSet(x_train, y_train, "train"), FeatureSet(x_val, y_val, "val"), ) def make_fewshot_dataset(feature_set, n_shot): """ Randomly select n_shot sample per class from the feature set. """ assert n_shot > 0, f"n_shot ({n_shot}) must be > 0" x = [] y = [] for cix in th.unique(feature_set.y): # samples whose label is cix inds = th.where(feature_set.y == cix)[0] # random order of samples inds = inds[th.randperm(inds.shape[0])] # split the validation set x.append(feature_set.x[inds[:n_shot]]) y.append(feature_set.y[inds[:n_shot]]) x = th.cat(x, dim=0) y = th.cat(y, dim=0) assert len(x) == len(y), f"Interesting, the length of x ({x.shape}) and y ({y.shape}) do not match." assert len(x) == n_shot * len(th.unique(feature_set.y)), "It seems that we didn't sample the same number of samples per class." return FeatureSet(x, y, feature_set.name + "_{}-shot".format(n_shot))
# 1530. Number of Good Leaf Nodes Pairs # User Accepted:2427 # User Tried:3383 # Total Accepted:2509 # Total Submissions:6456 # Difficulty:Medium # Given the root of a binary tree and an integer distance. # A pair of two different leaf nodes of a binary tree is said to be good # if the length of the shortest path between them is less than or equal to distance. # Return the number of good leaf node pairs in the tree. # Example 1: # Input: root = [1,2,3,null,4], distance = 3 # Output: 1 # Explanation: The leaf nodes of the tree are 3 and 4 # and the length of the shortest path between them is 3. This is the only good pair. # Example 2: # Input: root = [1,2,3,4,5,6,7], distance = 3 # Output: 2 # Explanation: The good pairs are [4,5] and [6,7] with shortest path = 2. # The pair [4,6] is not good because the length of ther shortest path between them is 4. # Example 3: # Input: root = [7,1,4,6,null,5,3,null,null,null,null,null,2], distance = 3 # Output: 1 # Explanation: The only good pair is [2,5]. # Example 4: # Input: root = [100], distance = 1 # Output: 0 # Example 5: # Input: root = [1,1,1], distance = 2 # Output: 1 # Constraints: # The number of nodes in the tree is in the range [1, 2^10]. # Each node's value is between [1, 100]. # 1 <= distance <= 10 # Definition for a binary tree node. # class TreeNode(object): # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right class Solution(object): def countPairs(self, root, distance): """ :type root: TreeNode :type distance: int :rtype: int """ pass
from json import loads from os.path import splitext import boto3 from botocore.exceptions import ClientError import pandas as pd import pickle from smart_open import open as s_open from vespid import setup_logger logger = setup_logger(__name__) def yield_object_keys(bucket, prefix, limit=float('inf'), skip_until_suffix=None): """yield object keys matching s3://bucket/prefix up to limit, skipping until suffix given""" logger.debug(f"yielding {limit} object keys from {bucket} / {prefix}") s3_client = boto3.client('s3') paginator = s3_client.get_paginator('list_objects_v2') pages = paginator.paginate(Bucket=bucket, Prefix=prefix) count = 0 skipping = False if skip_until_suffix: skipping = True for page in pages: for obj in page['Contents']: if count >= limit: return logger.debug(f"{count} key found: {obj}") if skip_until_suffix: key = obj['Key'] basename = splitext(key)[0] if basename.endswith(skip_until_suffix): skipping = False logger.debug(f"stop skipping {obj} vs {skip_until_suffix}") else: logger.debug(f"keep skipping! {obj} vs {skip_until_suffix}") if skipping: logger.debug(f"{count} key skipped: {obj}") continue logger.debug(f"{count} yielding: {obj}") yield obj['Key'] count += 1 def yield_json_from_s3_obj(key, s3_bucket, encoding='utf-8', limit=float('inf')): """yield lines of loaded JSON from s3://bucket/key up to limit, assuming open access to the S3 bucket""" logger.info(f"yielding {limit} json rows from {s3_bucket} / {key} with encoding {encoding}") with s_open(f"s3://{s3_bucket}/{key}", encoding=encoding) as thing: count = 0 for line in thing: if count >= limit: break line = line.strip() if not line: continue json_paper = loads(line) logger.debug(f"{count} json found: {json_paper}") yield json_paper count += 1 def get_s3_file(bucket, key, resource=None): ''' Pulls the contents of a given object in S3 into memory. Parameters ---------- bucket : str Name of the S3 bucket containing the object key : str Object prefix + name. E.g. if the bucket is called "vespid", and the file of interest is s3://vespid/data/a.json, the key would be "data/a.json" resource : boto3.resource object, optional Result of calling `boto3.resource('s3')`, by default None Returns ------- bytestring The file contents ''' if resource is None: s3 = boto3.resource('s3') else: s3 = resource return s3.Bucket(bucket).Object(key).get()['Body'].read() def count_s3_objects(bucket, prefix): ''' Given a bucket name and file prefix to match, counts how many qualifying objects there are. Parameters ---------- bucket : str Name of S3 bucket to inspect prefix : str Prefix of matching objects (e.g. 'data/processed/') Returns ------- int The number of matching objects found ''' s3 = boto3.resource('s3') bucket = s3.Bucket(bucket) num_s3_objects = sum( 1 for _ in bucket.objects.filter( Prefix=prefix ) ) return num_s3_objects def upload_file(file_name, bucket, object_prefix=None): """Upload a file to an S3 bucket :param file_name: File to upload :param bucket: Bucket to upload to :param object_prefix: prefix to add to ``file_name``, e.g. '<data/external/>filename' :return: True if file was uploaded, else False """ # If S3 object_name was not specified, use file_name if object_prefix is None: object_name = file_name else: object_name = object_prefix + file_name # Upload the file s3_client = boto3.client('s3') try: response = s3_client.upload_file(file_name, bucket, object_name) except ClientError as e: logger.error(e) return False return True def upload_object( object, path, access_key_path=None, bucket='vespid', session=None, auto_pickle=False ): """ Upload an arbitrary object to an S3 bucket, such as a pickled DataFrame. Note that, if you send an object as a bytestring (e.g. via pickle.dumps()), you will want to read the resulting file when you need it via with open('path/to/file.pkl', 'rb') as f: obj = pickle.load(f) or pickle.loads('path/to/file.pkl') Parameters ---------- object: object to upload, usually in a StringIO or ByteStringIO format path: str. URI to use for object when in the bucket (e.g. <bucket>/<path>). access_key_path: str. Indicates filepath to AWS access credentials CSV. If None, will assume it's operating in a pre-approved security environment (e.g. an AWS instance with proper role permissions) bucket: str. Target S3 bucket. session: boto3.Session object. If None, will attempt to upload via boto3.resource auto_pickle: bool. If True, and `object` is determined to not already be a bytestring, will pickle `object` before sending to S3 via `pickle.dumps(object)' Returns ------- Nothing. """ if path[-1] == '/': raise ValueError("object name should not end with '/'. " "Please ensure a valid object name has been provided.") if access_key_path is not None: aws_access_key, secret_access_key = pd.read_csv(access_key_path).loc[0] else: aws_access_key, secret_access_key = None, None # Upload the file if session is None: s3_resource = boto3.resource( 's3', aws_access_key_id=aws_access_key, aws_secret_access_key=secret_access_key ) else: s3_resource = session.resource('s3') # Detect if object is not already in proper format, transform accordingly if not isinstance(object, bytes) and auto_pickle: logger.debug(f"Detected that object is of type {type(object)}; " "pickling it and sending to S3 as a byte string...") to_upload = pickle.dumps(object) else: to_upload = object try: s3_resource.Object(bucket, path).put(Body=to_upload) except Exception as e: raise e def test_s3_access(bucket): ''' Tests S3 ingress and egress. Useful for code run in different environments (e.g. AWS Batch) to run this before doing any heavy lifting to make sure access credentialing, etc. is good to go. Parameters ---------- bucket : str Name of S3 bucket to test ''' # Test uploading test_object = pd.DataFrame({'a': [1,2,3], 'b': [4,5,6]}) logger.debug("Testing upload of a pickled DataFrame to S3...") upload_object( test_object, 'upload_test.pkl', auto_pickle=True, bucket=bucket ) # Testing downloading assert get_s3_file(bucket, 'upload_test.pkl') is not None, \ "S3 file download failed" logger.info("S3 upload test successful!")
# -- encoding: utf-8 -- from __future__ import absolute_import, division, print_function, unicode_literals from .model_base import ModelBase from h2o.utils.shared_utils import can_use_pandas class H2OAnomalyDetectionModel(ModelBase): def varsplits(self, use_pandas=False): """ Retrieve per-variable split information for a given Isolation Forest model. Output will include: - count - The number of times a variable was used to make a split. - aggregated_split_ratios - The split ratio is defined as "abs(#left_observations - #right_observations) / #before_split". Even splits (#left_observations approx the same as #right_observations) contribute less to the total aggregated split ratio value for the given feature; highly imbalanced splits (eg. #left_observations >> #right_observations) contribute more. - aggregated_split_depths - The sum of all depths of a variable used to make a split. (If a variable is used on level N of a tree, then it contributes with N to the total aggregate.) :param use_pandas: If True, then the variable splits will be returned as a Pandas data frame. :returns: A list or Pandas DataFrame. """ model = self._model_json["output"] if "variable_splits" in list(model.keys()) and model["variable_splits"]: vals = model["variable_splits"].cell_values header = model["variable_splits"].col_header if use_pandas and can_use_pandas(): import pandas return pandas.DataFrame(vals, columns=header) else: return vals else: print("Warning: This model doesn't provide variable split information")
# -- coding: utf-8 -- from __future__ import absolute_import, unicode_literals import pytest import dawg class TestPrediction(object): DATA = ['ЁЖИК', 'ЁЖИКЕ', 'ЁЖ', 'ДЕРЕВНЯ', 'ДЕРЁВНЯ', 'ЕМ', 'ОЗЕРА', 'ОЗЁРА', 'ОЗЕРО'] LENGTH_DATA = list(zip(DATA, ((len(w),) for w in DATA))) REPLACES = dawg.DAWG.compile_replaces({'Е': 'Ё'}) SUITE = [ ('УЖ', []), ('ЕМ', ['ЕМ']), ('ЁМ', []), ('ЁЖ', ['ЁЖ']), ('ЕЖ', ['ЁЖ']), ('ЁЖИК', ['ЁЖИК']), ('ЕЖИКЕ', ['ЁЖИКЕ']), ('ДЕРЕВНЯ', ['ДЕРЕВНЯ', 'ДЕРЁВНЯ']), ('ДЕРЁВНЯ', ['ДЕРЁВНЯ']), ('ОЗЕРА', ['ОЗЕРА', 'ОЗЁРА']), ('ОЗЕРО', ['ОЗЕРО']), ] SUITE_ITEMS = [ ( it[0], # key [ (w, [(len(w),)]) # item, value pair for w in it[1] ] ) for it in SUITE ] SUITE_VALUES = [ ( it[0], # key [[(len(w),)] for w in it[1]] ) for it in SUITE ] @pytest.mark.parametrize(("word", "prediction"), SUITE) def test_dawg_prediction(self, word, prediction): d = dawg.DAWG(self.DATA) assert d.similar_keys(word, self.REPLACES) == prediction @pytest.mark.parametrize(("word", "prediction"), SUITE) def test_record_dawg_prediction(self, word, prediction): d = dawg.RecordDAWG(str("=H"), self.LENGTH_DATA) assert d.similar_keys(word, self.REPLACES) == prediction @pytest.mark.parametrize(("word", "prediction"), SUITE_ITEMS) def test_record_dawg_items(self, word, prediction): d = dawg.RecordDAWG(str("=H"), self.LENGTH_DATA) assert d.similar_items(word, self.REPLACES) == prediction @pytest.mark.parametrize(("word", "prediction"), SUITE_VALUES) def test_record_dawg_items_values(self, word, prediction): d = dawg.RecordDAWG(str("=H"), self.LENGTH_DATA) assert d.similar_item_values(word, self.REPLACES) == prediction
#!/usr/bin/env python # -- coding: utf-8 -- __author__ = 'chengzhi' from tqsdk import TqApi # 创建API实例. api = TqApi() # 获得上期所 cu2001 的行情引用，当行情有变化时 quote 中的字段会对应更新 quote = api.get_quote("SHFE.cu2001") # 输出 cu2001 的最新行情时间和最新价 print(quote.datetime, quote.last_price) # 关闭api,释放资源 api.close()
""" Command line actions to manage workenv """ import os import subprocess from pathlib import Path from . import bash from .config import Command, Project from .constants import COMMAND_NAME from .io import echo, error registry = {} def action(fn): def wrap(config, actions, args): return fn(config, actions, args) registry[fn.__name__] = fn return wrap @action def install(config, actions, args): """ Install workenv into your bashrc """ command_name = COMMAND_NAME if len(args) == 1: command_name = args[0] elif len(args) > 1: error("Usage: workenv --install [<as>]") return bash.install(command_name) echo(f"Installed as {command_name}, open a new shell to use") @action def edit(config, actions, args): """ Open the yaml source in the shell editor """ if len(args) > 0: error("Usage: workenv --edit") editor = os.environ.get("EDITOR") or "vim" subprocess.call([editor, config.file]) @action def add(config, actions, args): """ Register a new project or command using the current path """ cwd = Path.cwd() if len(args) == 0: error("Must specify a project name to add it") return project_name, command_name = (args + [None])[0:2] # Get or create project if not command_name and project_name in config.projects: error(f"Project {project_name} already exists") return if project_name not in config.projects: config.projects[project_name] = Project( config=config, name=project_name, path=cwd, source=[], env=[], run=[], parent=None, ) project = config.projects[project_name] if not command_name: config.save() echo(f"Added project {project_name}") return if command_name in project.commands: error(f"Command {command_name} already exists in project {project_name}") return project.commands[command_name] = Command( name=command_name, path=cwd, source=[], env=[], run=[], parent=project, ) config.save() echo(f"Added command {command_name} to project {project_name}")
from oscar.apps.customer import config class CustomerConfig(config.CustomerConfig): name = 'oscar_apps.customer'
# -- coding: utf-8 -- # Generated by Django 1.11.4 on 2018-11-02 03:21 from __future__ import unicode_literals from tqdm import tqdm from django.db import migrations from django.db.models import F def extract_external_id_from_url(apps, schema_editor): AttachmentFile = apps.get_model('data', 'AttachmentFile') non_documentcloud_files = AttachmentFile.objects.exclude(source_type='DOCUMENTCLOUD') for file in tqdm(non_documentcloud_files, desc='Get external_id from original_url '): url = file.original_url file.external_id = url[url.rindex('/') + 1:] if '/' in url else url file.save() def use_url_for_external_id(apps, schema_editor): AttachmentFile = apps.get_model('data', 'AttachmentFile') AttachmentFile.objects.exclude(source_type='DOCUMENTCLOUD').update(external_id=F('original_url')) class Migration(migrations.Migration): dependencies = [ ('data', '0093_attachment_request_add_airtable_record_id'), ] operations = [ migrations.RunPython( extract_external_id_from_url, reverse_code=use_url_for_external_id, elidable=True), ]
from owlready2 import * import csv import sys import os def aro_query(start_id=sys.argv[1], depth=sys.argv[2]): # Load the ontology os.chdir('..') aro_path = os.path.abspath(os.curdir) onto = get_ontology(aro_path + '\\aro.owl').load() namespace = onto.get_namespace("http://purl.obolibrary.org/obo/") #onto.search(label = 'microbial susceptibility test') # Grab the relevant subclasses, starting from start_id and progressing down through the hierarchy <depth> # of times # If the depth is 1, only the subclasses of the initial element are pulled. subclass_list = [start_id] done = [] for d in range(0,int(depth)): for sc in range(len(subclass_list)): if subclass_list[sc] not in done: checking = subclass_list[sc] # Pull the subclasses and add them to the list curr_query_string = 'list(namespace.%s.subclasses())' % (checking) subclass_list.extend(eval(curr_query_string)) # Format the ARO IDs: remove '.obo' prefix, convert to string subclass_list = [str(aro).split('.')[1] if 'obo.' in str(aro) else aro for aro in subclass_list] # Prevent the current ARO element from having its subclasses pulled again by marking it as done done.append(checking) # Extract the parent term of "child" term in the subclass list, and extract the labels for each term in the subclass list hierarchy_dict = dict.fromkeys(subclass_list) label_list = [] for term in hierarchy_dict: # Extract the labels query_label_string = 'namespace.%s.label' % (term) label_list.append(eval(query_label_string)[0]) # Search for terms that are subclasses ("children") of the current <term> (the "parent") search_string = 'onto.search(is_a = namespace.%s)' % (term) children = eval(search_string) children = [str(aro).split('.')[1] for aro in children] # Map the current parent to any of its children that are part of the hierarchy dictionary for c in range(len(children)): child = children[c] # Since the onto.search method includes the search term or parent in the returned results, skip the parent (otherwise the parent of this term will be recorded as itself). # Also, skip any children that are not present in the hierarchy dictionary. if child != term and child in subclass_list: hierarchy_dict[child] = term parent_terms = list(hierarchy_dict.values()) # Store labels in a separate list #label_list = [] #for i in range(len(subclass_list)): #query_label_string = 'namespace.%s.label' % (subclass_list[i]) #label_list.append(eval(query_label_string)[0]) # Combine the lists in preparation for writing to a csv rows = zip(subclass_list, label_list, parent_terms) # Write to csv file = open('aro-query.csv', 'w', newline='') with file: writer = csv.writer(file) writer.writerow(['ARO_id', 'label', 'parent_ARO_id']) for row in rows: writer.writerow(row) # Allow function to be called from the command line if __name__ == '__main__': aro_query(sys.argv[1], sys.argv[2])
""" Tests for bitarray Author: Ilan Schnell """ import os import sys import unittest import tempfile import shutil from random import randint is_py3k = bool(sys.version_info[0] == 3) if is_py3k: from io import StringIO else: from cStringIO import StringIO if __name__ == '__main__': from __init__ import bitarray, bits2bytes repr_type = "<class '__init__.bitarray'>" else: from bitarray import bitarray, bits2bytes repr_type = "<class 'bitarray.bitarray'>" tests = [] if sys.version_info[:2] < (2, 6): def next(x): return x.next() def to_bytes(s): if is_py3k: return bytes(s.encode('latin1')) elif sys.version_info[:2] >= (2, 6): return bytes(s) else: return s class Util(object): def randombitarrays(self): for n in list(range(25)) + [randint(1000, 2000)]: yield bitarray([randint(0, 1) for d in range(n)], endian='big' if randint(0, 1) else 'little') def randomlists(self): for n in list(range(25)) + [randint(1000, 2000)]: yield [bool(randint(0, 1)) for d in range(n)] def rndsliceidx(self, length): return randint(-2length, 2length-1) if randint(0, 1) == 1 else None def slicelen(self, r, length): return getIndicesEx(r, length)[-1] def check_obj(self, a): self.assertEqual(repr(type(a)), repr_type) unused = 8 * a.buffer_info()[1] - len(a) self.assert_(0 <= unused < 8) self.assertEqual(unused, a.buffer_info()[3]) def assertEQUAL(self, a, b): self.assertEqual(a, b) self.assertEqual(a.endian(), b.endian()) self.check_obj(a) self.check_obj(b) def getIndicesEx(r, length): if not isinstance(r, slice): raise TypeError("slice object expected") start = r.start stop = r.stop step = r.step if r.step is None: step = 1 else: if step == 0: raise ValueError("slice step cannot be zero") defstart = length-1 if step < 0 else 0 defstop = -1 if step < 0 else length if r.start is None: start = defstart else: if start < 0: start += length if start < 0: start = -1 if step < 0 else 0 if start >= length: start = length-1 if step < 0 else length if r.stop is None: stop = defstop else: if stop < 0: stop += length if stop < 0: stop = -1 if stop > length: stop = length if (step < 0 and stop >= length) or (step > 0 and start >= stop): slicelength = 0 elif step < 0: slicelength = (stop-start+1) / step + 1 else: slicelength = (stop-start-1) / step + 1 if slicelength < 0: slicelength = 0 return start, stop, step, slicelength # --------------------------------------------------------------------------- class TestsModuleFunctions(unittest.TestCase, Util): def test_bits2bytes(self): for arg in ['foo', [], None, {}]: self.assertRaises(TypeError, bits2bytes, arg) self.assertRaises(TypeError, bits2bytes) self.assertRaises(TypeError, bits2bytes, 1, 2) self.assertRaises(ValueError, bits2bytes, -1) self.assertRaises(ValueError, bits2bytes, -924) for n in range(1000): self.assertEqual(bits2bytes(n), 0 if n==0 else ((n - 1) // 8 + 1)); for n, m in [(0, 0), (1, 1), (2, 1), (7, 1), (8, 1), (9, 2), (10, 2), (15, 2), (16, 2), (64, 8), (65, 9), (0, 0), (1, 1), (65, 9), (229, 226), (231, 228), (232, 229), (234, 231), (234+793, 231+100), (235-8, 232-1), (262, 259), (263-8, 260-1)]: self.assertEqual(bits2bytes(n), m) tests.append(TestsModuleFunctions) # --------------------------------------------------------------------------- class CreateObjectTests(unittest.TestCase, Util): def test_noInitializer(self): a = bitarray() self.assertEqual(len(a), 0) self.assertEqual(a.tolist(), []) self.check_obj(a) def test_endian(self): a = bitarray(endian='little') a.fromstring('A') self.assertEqual(a.endian(), 'little') self.check_obj(a) b = bitarray(endian='big') b.fromstring('A') self.assertEqual(b.endian(), 'big') self.check_obj(b) self.assertEqual(a.tostring(), b.tostring()) a = bitarray(endian='little') a.fromstring(' ') self.assertEqual(a.endian(), 'little') self.check_obj(a) b = bitarray(endian='big') b.fromstring(' ') self.assertEqual(b.endian(), 'big') self.check_obj(b) self.assertEqual(a.tostring(), b.tostring()) self.assertRaises(TypeError, bitarray.__new__, bitarray, endian=0) self.assertRaises(ValueError, bitarray.__new__, bitarray, endian='') def test_integers(self): for n in range(50): a = bitarray(n) self.assertEqual(len(a), n) self.check_obj(a) a = bitarray(int(n)) self.assertEqual(len(a), n) self.check_obj(a) self.assertRaises(ValueError, bitarray.__new__, bitarray, -1) self.assertRaises(ValueError, bitarray.__new__, bitarray, -924) def test_list(self): lst = ['foo', None, [1], {}] a = bitarray(lst) self.assertEqual(a.tolist(), [True, False, True, False]) self.check_obj(a) for n in range(50): lst = [bool(randint(0, 1)) for d in range(n)] a = bitarray(lst) self.assertEqual(a.tolist(), lst) self.check_obj(a) def test_tuple(self): tup = ('', True, [], {1:2}) a = bitarray(tup) self.assertEqual(a.tolist(), [False, True, False, True]) self.check_obj(a) for n in range(50): lst = [bool(randint(0, 1)) for d in range(n)] a = bitarray(tuple(lst)) self.assertEqual(a.tolist(), lst) self.check_obj(a) def test_iter(self): for n in range(50): lst = [bool(randint(0, 1)) for d in range(n)] a = bitarray(iter(lst)) self.assertEqual(a.tolist(), lst) self.check_obj(a) def test_iter2(self): for lst in self.randomlists(): def foo(): for x in lst: yield x a = bitarray(foo()) self.assertEqual(a, bitarray(lst)) self.check_obj(a) def test_01(self): a = bitarray('0010111') self.assertEqual(a.tolist(), [0, 0, 1, 0, 1, 1, 1]) self.check_obj(a) for n in range(50): lst = [bool(randint(0, 1)) for d in range(n)] s = ''.join('1' if x else '0' for x in lst) a = bitarray(s) self.assertEqual(a.tolist(), lst) self.check_obj(a) self.assertRaises(ValueError, bitarray.__new__, bitarray, '01012100') def test_bitarray(self): for n in range(50): a = bitarray(n) b = bitarray(a) self.assert_(a is not b) self.assertEQUAL(a, b) for end in ('little', 'big'): a = bitarray(endian=end) c = bitarray(a) self.assertEqual(c.endian(), end) c = bitarray(a, endian='little') self.assertEqual(c.endian(), 'little') c = bitarray(a, endian='big') self.assertEqual(c.endian(), 'big') def test_None(self): self.assertEQUAL(bitarray(), bitarray(0)) self.assertEQUAL(bitarray(), bitarray(None)) def test_WrongArgs(self): self.assertRaises(TypeError, bitarray.__new__, bitarray, 'A', 42, 69) self.assertRaises(TypeError, bitarray.__new__, bitarray, Ellipsis) self.assertRaises(TypeError, bitarray.__new__, bitarray, slice(0)) self.assertRaises(TypeError, bitarray.__new__, bitarray, 2.345) self.assertRaises(TypeError, bitarray.__new__, bitarray, 4+3j) self.assertRaises(TypeError, bitarray.__new__, bitarray, '', 0, 42) self.assertRaises(ValueError, bitarray.__new__, bitarray, 0, 'foo') tests.append(CreateObjectTests) # --------------------------------------------------------------------------- class MetaDataTests(unittest.TestCase): def test_buffer_info(self): a = bitarray('0000111100001', endian='little') self.assertEqual(a.buffer_info()[1:4], (2, 'little', 3)) a = bitarray() self.assertRaises(TypeError, a.buffer_info, 42) bi = a.buffer_info() self.assert_(isinstance(bi, tuple)) self.assertEqual(len(bi), 5) self.assert_(isinstance(bi[0], int)) if is_py3k: self.assert_(isinstance(bi[1], int)) self.assert_(isinstance(bi[2], str)) self.assert_(isinstance(bi[3], int)) if is_py3k: self.assert_(isinstance(bi[4], int)) for n in range(50): bi = bitarray(n).buffer_info() self.assertEqual(bi[1], bits2bytes(n)) self.assertEqual(bi[3] + n, 8 * bi[1]) self.assert_(bi[4] >= bi[1]) a = bitarray(endian='little') self.assertEqual(a.buffer_info()[2], 'little') a = bitarray(endian='big') self.assertEqual(a.buffer_info()[2], 'big') def test_endian(self): a = bitarray(endian='little') self.assertEqual(a.endian(), 'little') a = bitarray(endian='big') self.assertEqual(a.endian(), 'big') def test_length(self): for n in range(1000): a = bitarray(n) self.assertEqual(len(a), n) self.assertEqual(a.length(), n) tests.append(MetaDataTests) # --------------------------------------------------------------------------- class SliceTests(unittest.TestCase, Util): def test_getitem(self): a = bitarray() self.assertRaises(IndexError, a.__getitem__, 0) a.append(True) self.assertEqual(a[0], True) self.assertRaises(IndexError, a.__getitem__, 1) self.assertRaises(IndexError, a.__getitem__, -2) a.append(False) self.assertEqual(a[1], False) self.assertRaises(IndexError, a.__getitem__, 2) self.assertRaises(IndexError, a.__getitem__, -3) a = bitarray('1100010') for i, b in enumerate([True, True, False, False, False, True, False]): self.assertEqual(a[i], b) self.assertEqual(a[i-7], b) self.assertRaises(IndexError, a.__getitem__, 7) self.assertRaises(IndexError, a.__getitem__, -8) a = bitarray('0100000100001') self.assertEQUAL(a[:], a) self.assert_(a[:] is not a) aa = a.tolist() self.assertEQUAL(a[11:2:-3], bitarray(aa[11:2:-3])) self.check_obj(a[:]) self.assertRaises(ValueError, a.__getitem__, slice(None, None, 0)) self.assertRaises(TypeError, a.__getitem__, (1, 2)) for a in self.randombitarrays(): aa = a.tolist() la = len(a) if la == 0: continue for dum in range(10): step = self.rndsliceidx(la) if step == 0: step = None s = slice(self.rndsliceidx(la), self.rndsliceidx(la), step) self.assertEQUAL(a[s], bitarray(aa[s], endian=a.endian())) def test_setitem(self): a = bitarray([False]) a[0] = 1 self.assertEqual(a.tolist(), [True]) a = bitarray(2) a[0] = 0 a[1] = 1 self.assertEqual(a.tolist(), [False, True]) a[-1] = 0 a[-2] = 1 self.assertEqual(a.tolist(), [True, False]) self.assertRaises(IndexError, a.__setitem__, 2, True) self.assertRaises(IndexError, a.__setitem__, -3, False) for a in self.randombitarrays(): la = len(a) if la == 0: continue i = randint(0, la-1) aa = a.tolist() ida = id(a) val = bool(randint(0, 1)) a[i] = val aa[i] = val self.assertEqual(a.tolist(), aa) self.assertEqual(id(a), ida) self.check_obj(a) b = bitarray(la) b[0:la] = bitarray(a) self.assertEqual(a, b) self.assertNotEqual(id(a), id(b)) b = bitarray(la) b[:] = bitarray(a) self.assertEqual(a, b) self.assertNotEqual(id(a), id(b)) b = bitarray(la) b[::-1] = bitarray(a) self.assertEqual(a.tolist()[::-1], b.tolist()) a = bitarray(5[False]) a[0] = 1 a[-2] = 1 self.assertEqual(a, bitarray('10010')) self.assertRaises(IndexError, a.__setitem__, 5, 'foo') self.assertRaises(IndexError, a.__setitem__, -6, 'bar') for a in self.randombitarrays(): la = len(a) if la == 0: continue for dum in range(3): step = self.rndsliceidx(la) if step == 0: step = None s = slice(self.rndsliceidx(la), self.rndsliceidx(la), step) for b in self.randombitarrays(): if len(b) == self.slicelen(s, len(a)) or step is None: c = bitarray(a) d = c c[s] = b self.assert_(c is d) self.check_obj(c) cc = a.tolist() cc[s] = b.tolist() self.assertEqual(c, bitarray(cc)) def test_setslice_to_bool(self): a = bitarray('11111111') a[::2] = False self.assertEqual(a, bitarray('01010101')) a[4::] = True self.assertEqual(a, bitarray('01011111')) a[-2:] = False self.assertEqual(a, bitarray('01011100')) a[:2:] = True self.assertEqual(a, bitarray('11011100')) a[:] = True self.assertEqual(a, bitarray('11111111')) def test_delitem(self): a = bitarray('100110') del a[1] self.assertEqual(len(a), 5) del a[3] del a[-2] self.assertEqual(a, bitarray('100')) self.assertRaises(IndexError, a.__delitem__, 3) self.assertRaises(IndexError, a.__delitem__, -4) for a in self.randombitarrays(): la = len(a) if la == 0: continue for dum in range(10): step = self.rndsliceidx(la) if step == 0: step = None s = slice(self.rndsliceidx(la), self.rndsliceidx(la), step) c = bitarray(a) d = c del c[s] self.assert_(c is d) self.check_obj(c) cc = a.tolist() del cc[s] self.assertEQUAL(c, bitarray(cc, endian=c.endian())) tests.append(SliceTests) # --------------------------------------------------------------------------- class MiscTests(unittest.TestCase, Util): def test_booleanness(self): self.assertEqual(bool(bitarray('')), False) self.assertEqual(bool(bitarray('0')), True) self.assertEqual(bool(bitarray('1')), True) def test_iterate(self): for lst in self.randomlists(): acc = [] for b in bitarray(lst): acc.append(b) self.assertEqual(acc, lst) def test_iterable(self): a = iter(bitarray('011')) self.assertEqual(next(a), False) self.assertEqual(next(a), True) self.assertEqual(next(a), True) if is_py3k: self.assertRaises(StopIteration, a.__next__) else: self.assertRaises(StopIteration, a.next) def test_assignment(self): a = bitarray('00110111001') a[1:3] = a[7:9] a[-1:] = a[:1] b = bitarray('01010111000') self.assertEqual(a, b) def test_compare(self): for a in self.randombitarrays(): aa = a.tolist() for b in self.randombitarrays(): bb = b.tolist() self.assertEqual(a == b, aa == bb) self.assertEqual(a != b, aa != bb) self.assertEqual(a <= b, aa <= bb) self.assertEqual(a < b, aa < bb) self.assertEqual(a >= b, aa >= bb) self.assertEqual(a > b, aa > bb) def test_subclassing(self): class ExaggeratingBitarray(bitarray): def __new__(cls, data, offset): return bitarray.__new__(cls, data) def __init__(self, data, offset): self.offset = offset def __getitem__(self, i): return bitarray.__getitem__(self, i - self.offset) for a in self.randombitarrays(): if len(a) == 0: continue b = ExaggeratingBitarray(a, 1234) for i in range(len(a)): self.assertEqual(a[i], b[i+1234]) def test_endianness(self): a = bitarray(endian='little') a.frombytes(to_bytes('\x01')) self.assertEqual(a.to01(), '10000000') b = bitarray(endian='little') b.frombytes(to_bytes('\x80')) self.assertEqual(b.to01(), '00000001') c = bitarray(endian='big') c.frombytes(to_bytes('\x80')) self.assertEqual(c.to01(), '10000000') d = bitarray(endian='big') d.frombytes(to_bytes('\x01')) self.assertEqual(d.to01(), '00000001') self.assertEqual(a, c) self.assertEqual(b, d) a = bitarray(8, endian='little') a.setall(False) a[0] = True self.assertEqual(a.tobytes(), to_bytes('\x01')) a[1] = True self.assertEqual(a.tobytes(), to_bytes('\x03')) a.frombytes(to_bytes(' ')) self.assertEqual(a.tobytes(), to_bytes('\x03 ')) self.assertEqual(a.to01(), '1100000000000100') a = bitarray(8, endian='big') a.setall(False) a[7] = True self.assertEqual(a.tobytes(), to_bytes('\x01')) a[6] = True self.assertEqual(a.tobytes(), to_bytes('\x03')) a.frombytes(to_bytes(' ')) self.assertEqual(a.tobytes(), to_bytes('\x03 ')) self.assertEqual(a.to01(), '0000001100100000') a = bitarray('00100000', endian='big') self.assertEqual(a.tobytes(), to_bytes(' ')) b = bitarray('00000100', endian='little') self.assertEqual(b.tobytes(), to_bytes(' ')) self.assertNotEqual(a, b) a = bitarray('11100000', endian='little') b = bitarray(a, endian='big') self.assertNotEqual(a, b) self.assertEqual(a.tobytes(), b.tobytes()) def test_pickle(self): from pickle import loads, dumps for a in self.randombitarrays(): b = loads(dumps(a)) self.assert_(b is not a) self.assertEQUAL(a, b) def test_cPickle(self): from pickle import loads, dumps for a in self.randombitarrays(): b = loads(dumps(a)) self.assert_(b is not a) self.assertEQUAL(a, b) def test_overflow(self): from platform import architecture if architecture()[0] == '64bit': return self.assertRaises(OverflowError, bitarray.__new__, bitarray, 234 + 1) a = bitarray(106) self.assertRaises(OverflowError, a.__imul__, 17180) tests.append(MiscTests) # --------------------------------------------------------------------------- class SpecialMethodTests(unittest.TestCase, Util): def test_all(self): a = bitarray() self.assertTrue(a.all()) for a in self.randombitarrays(): self.assertEqual(all(a), a.all()) self.assertEqual(all(a.tolist()), a.all()) def test_any(self): a = bitarray() self.assertFalse(a.any()) for a in self.randombitarrays(): self.assertEqual(any(a), a.any()) self.assertEqual(any(a.tolist()), a.any()) def test_repr(self): a = bitarray() self.assertEqual(repr(a), "bitarray()") a = bitarray('10111') self.assertEqual(repr(a), "bitarray('10111')") for a in self.randombitarrays(): b = eval(repr(a)) self.assert_(b is not a) self.assertEqual(a, b) self.check_obj(b) def test_copy(self): import copy for a in self.randombitarrays(): b = a.copy() self.assert_(b is not a) self.assertEQUAL(a, b) b = copy.copy(a) self.assert_(b is not a) self.assertEQUAL(a, b) b = copy.deepcopy(a) self.assert_(b is not a) self.assertEQUAL(a, b) def assertReallyEqual(self, a, b): # assertEqual first, because it will have a good message if the # assertion fails. self.assertEqual(a, b) self.assertEqual(b, a) self.assertTrue(a == b) self.assertTrue(b == a) self.assertFalse(a != b) self.assertFalse(b != a) if not is_py3k: self.assertEqual(0, cmp(a, b)) self.assertEqual(0, cmp(b, a)) def assertReallyNotEqual(self, a, b): # assertNotEqual first, because it will have a good message if the # assertion fails. self.assertNotEqual(a, b) self.assertNotEqual(b, a) self.assertFalse(a == b) self.assertFalse(b == a) self.assertTrue(a != b) self.assertTrue(b != a) if not is_py3k: self.assertNotEqual(0, cmp(a, b)) self.assertNotEqual(0, cmp(b, a)) def test_equality(self): self.assertReallyEqual(bitarray(''), bitarray('')) self.assertReallyEqual(bitarray('0'), bitarray('0')) self.assertReallyEqual(bitarray('1'), bitarray('1')) def test_not_equality(self): self.assertReallyNotEqual(bitarray(''), bitarray('1')) self.assertReallyNotEqual(bitarray(''), bitarray('0')) self.assertReallyNotEqual(bitarray('0'), bitarray('1')) tests.append(SpecialMethodTests) # --------------------------------------------------------------------------- class NumberTests(unittest.TestCase, Util): def test_add(self): c = bitarray('001') + bitarray('110') self.assertEQUAL(c, bitarray('001110')) for a in self.randombitarrays(): aa = a.copy() for b in self.randombitarrays(): bb = b.copy() c = a + b self.assertEqual(c, bitarray(a.tolist() + b.tolist())) self.assertEqual(c.endian(), a.endian()) self.check_obj(c) self.assertEQUAL(a, aa) self.assertEQUAL(b, bb) a = bitarray() self.assertRaises(TypeError, a.__add__, 42) def test_iadd(self): c = bitarray('001') c += bitarray('110') self.assertEQUAL(c, bitarray('001110')) for a in self.randombitarrays(): for b in self.randombitarrays(): c = bitarray(a) d = c d += b self.assertEqual(d, a + b) self.assert_(c is d) self.assertEQUAL(c, d) self.assertEqual(d.endian(), a.endian()) self.check_obj(d) a = bitarray() self.assertRaises(TypeError, a.__iadd__, 42) def test_mul(self): c = 0 bitarray('1001111') self.assertEQUAL(c, bitarray()) c = 3 * bitarray('001') self.assertEQUAL(c, bitarray('001001001')) c = bitarray('110') * 3 self.assertEQUAL(c, bitarray('110110110')) for a in self.randombitarrays(): b = a.copy() for n in range(-10, 20): c = a * n self.assertEQUAL(c, bitarray(n * a.tolist(), endian=a.endian())) c = n * a self.assertEqual(c, bitarray(n * a.tolist(), endian=a.endian())) self.assertEQUAL(a, b) a = bitarray() self.assertRaises(TypeError, a.__mul__, None) def test_imul(self): c = bitarray('1101110011') idc = id(c) c = 0 self.assertEQUAL(c, bitarray()) self.assertEqual(idc, id(c)) c = bitarray('110') c = 3 self.assertEQUAL(c, bitarray('110110110')) for a in self.randombitarrays(): for n in range(-10, 10): b = a.copy() idb = id(b) b = n self.assertEQUAL(b, bitarray(n a.tolist(), endian=a.endian())) self.assertEqual(idb, id(b)) a = bitarray() self.assertRaises(TypeError, a.__imul__, None) tests.append(NumberTests) # --------------------------------------------------------------------------- class BitwiseTests(unittest.TestCase, Util): def test_misc(self): for a in self.randombitarrays(): b = ~a c = a & b self.assertEqual(c.any(), False) self.assertEqual(a, a ^ c) d = a ^ b self.assertEqual(d.all(), True) b &= d self.assertEqual(~b, a) def test_and(self): a = bitarray('11001') b = bitarray('10011') self.assertEQUAL(a & b, bitarray('10001')) b = bitarray('1001') self.assertRaises(ValueError, a.__and__, b) # not same length self.assertRaises(TypeError, a.__and__, 42) def test_iand(self): a = bitarray('110010110') ida = id(a) a &= bitarray('100110011') self.assertEQUAL(a, bitarray('100010010')) self.assertEqual(ida, id(a)) def test_or(self): a = bitarray('11001') b = bitarray('10011') self.assertEQUAL(a \| b, bitarray('11011')) def test_iand(self): a = bitarray('110010110') a \|= bitarray('100110011') self.assertEQUAL(a, bitarray('110110111')) def test_xor(self): a = bitarray('11001') b = bitarray('10011') self.assertEQUAL(a ^ b, bitarray('01010')) def test_ixor(self): a = bitarray('110010110') a ^= bitarray('100110011') self.assertEQUAL(a, bitarray('010100101')) def test_invert(self): a = bitarray() a.invert() self.assertEQUAL(a, bitarray()) a = bitarray('11011') a.invert() self.assertEQUAL(a, bitarray('00100')) a = bitarray('11011') b = ~a self.assertEQUAL(b, bitarray('00100')) self.assertEQUAL(a, bitarray('11011')) self.assert_(a is not b) for a in self.randombitarrays(): aa = a.tolist() b = bitarray(a) b.invert() for i in range(len(a)): self.assertEqual(b[i], not aa[i]) self.check_obj(b) c = ~a self.assert_(c is not a) self.assertEQUAL(a, bitarray(aa, endian=a.endian())) for i in range(len(a)): self.assertEqual(c[i], not aa[i]) self.check_obj(b) tests.append(BitwiseTests) # --------------------------------------------------------------------------- class SequenceTests(unittest.TestCase, Util): def test_contains(self): a = bitarray() self.assert_(False not in a) self.assert_(True not in a) a.append(True) self.assert_(True in a) self.assert_(False not in a) a = bitarray([False]) self.assert_(False in a) self.assert_(True not in a) a.append(True) self.assert_(0 in a) self.assert_(1 in a) for n in range(2, 100): a = bitarray(n) a.setall(0) self.assert_(False in a) self.assert_(True not in a) a[randint(0, n-1)] = 1 self.assert_(True in a) self.assert_(False in a) a.setall(1) self.assert_(True in a) self.assert_(False not in a) a[randint(0, n-1)] = 0 self.assert_(True in a) self.assert_(False in a) a = bitarray('011010000001') self.assert_('1' in a) self.assert_('11' in a) self.assert_('111' not in a) self.assert_(bitarray('00') in a) self.assert_([0, 0, 0, 1] in a) self.assert_((0, 0, 0, 1, 1) not in a) self.assert_((0, 0, 0, 0, 2) in a) tests.append(SequenceTests) # --------------------------------------------------------------------------- class ExtendTests(unittest.TestCase, Util): def test_wrongArgs(self): a = bitarray() self.assertRaises(TypeError, a.extend) self.assertRaises(TypeError, a.extend, None) self.assertRaises(TypeError, a.extend, True) self.assertRaises(TypeError, a.extend, 24) self.assertRaises(ValueError, a.extend, '0011201') def test_bitarray(self): a = bitarray() a.extend(bitarray()) self.assertEqual(a, bitarray()) a.extend(bitarray('110')) self.assertEqual(a, bitarray('110')) a.extend(bitarray('1110')) self.assertEqual(a, bitarray('1101110')) a = bitarray('00001111', endian='little') a.extend(bitarray('00111100', endian='big')) self.assertEqual(a, bitarray('0000111100111100')) for a in self.randombitarrays(): for b in self.randombitarrays(): c = bitarray(a) idc = id(c) c.extend(b) self.assertEqual(id(c), idc) self.assertEqual(c, a + b) def test_list(self): a = bitarray() a.extend([0, 1, 3, None, {}]) self.assertEqual(a, bitarray('01100')) a.extend([True, False]) self.assertEqual(a, bitarray('0110010')) for a in self.randomlists(): for b in self.randomlists(): c = bitarray(a) idc = id(c) c.extend(b) self.assertEqual(id(c), idc) self.assertEqual(c.tolist(), a + b) self.check_obj(c) def test_iterable(self): def bar(): for x in ('', '1', None, True, []): yield x a = bitarray() a.extend(bar()) self.assertEqual(a, bitarray('01010')) for a in self.randomlists(): for b in self.randomlists(): def foo(): for e in b: yield e c = bitarray(a) idc = id(c) c.extend(foo()) self.assertEqual(id(c), idc) self.assertEqual(c.tolist(), a + b) self.check_obj(c) def test_tuple(self): a = bitarray() a.extend((0, 1, 2, 0, 3)) self.assertEqual(a, bitarray('01101')) for a in self.randomlists(): for b in self.randomlists(): c = bitarray(a) idc = id(c) c.extend(tuple(b)) self.assertEqual(id(c), idc) self.assertEqual(c.tolist(), a + b) self.check_obj(c) def test_iter(self): a = bitarray() a.extend(iter([3, 9, 0, 1, -2])) self.assertEqual(a, bitarray('11011')) for a in self.randomlists(): for b in self.randomlists(): c = bitarray(a) idc = id(c) c.extend(iter(b)) self.assertEqual(id(c), idc) self.assertEqual(c.tolist(), a + b) self.check_obj(c) def test_string01(self): a = bitarray() a.extend('0110111') self.assertEqual(a, bitarray('0110111')) for a in self.randomlists(): for b in self.randomlists(): c = bitarray(a) idc = id(c) c.extend(''.join(('1' if x else '0') for x in b)) self.assertEqual(id(c), idc) self.assertEqual(c.tolist(), a + b) self.check_obj(c) tests.append(ExtendTests) # --------------------------------------------------------------------------- class MethodTests(unittest.TestCase, Util): def test_append(self): a = bitarray() a.append(True) a.append(False) a.append(False) self.assertEQUAL(a, bitarray('100')) for a in self.randombitarrays(): aa = a.tolist() b = a b.append(1) self.assert_(a is b) self.check_obj(b) self.assertEQUAL(b, bitarray(aa+[1], endian=a.endian())) b.append('') self.assertEQUAL(b, bitarray(aa+[1, 0], endian=a.endian())) def test_insert(self): a = bitarray() b = a a.insert(0, True) self.assert_(a is b) self.assertEqual(a, bitarray('1')) self.assertRaises(TypeError, a.insert) self.assertRaises(TypeError, a.insert, None) for a in self.randombitarrays(): aa = a.tolist() item = bool(randint(0, 1)) pos = randint(-len(a), len(a)) a.insert(pos, item) aa.insert(pos, item) self.assertEqual(a.tolist(), aa) self.check_obj(a) def test_index(self): a = bitarray() for i in (True, False, 1, 0): self.assertRaises(ValueError, a.index, i) a = bitarray(100[False]) self.assertRaises(ValueError, a.index, True) a[20] = a[27] = 54 self.assertEqual(a.index(42), 20) self.assertEqual(a.index(0), 0) a = bitarray(200[True]) self.assertRaises(ValueError, a.index, False) a[173] = a[187] = 0 self.assertEqual(a.index(False), 173) self.assertEqual(a.index(True), 0) for n in range(50): for m in range(n): a = bitarray(n) a.setall(0) self.assertRaises(ValueError, a.index, 1) a[m] = 1 self.assertEqual(a.index(1), m) a.setall(1) self.assertRaises(ValueError, a.index, 0) a[m] = 0 self.assertEqual(a.index(0), m) def test_count(self): a = bitarray('10011') self.assertEqual(a.count(), 3) self.assertEqual(a.count(True), 3) self.assertEqual(a.count(False), 2) self.assertEqual(a.count(1), 3) self.assertEqual(a.count(0), 2) self.assertRaises(TypeError, a.count, 'A') for a in self.randombitarrays(): self.assertEqual(a.count(), a.count(1)) self.assertEqual(a.count(1), a.to01().count('1')) self.assertEqual(a.count(0), a.to01().count('0')) def test_search(self): a = bitarray('') self.assertEqual(a.search(bitarray('0')), []) self.assertEqual(a.search(bitarray('1')), []) a = bitarray('1') self.assertEqual(a.search(bitarray('0')), []) self.assertEqual(a.search(bitarray('1')), [0]) self.assertEqual(a.search(bitarray('11')), []) a = bitarray(100'1') self.assertEqual(a.search(bitarray('0')), []) self.assertEqual(a.search(bitarray('1')), list(range(100))) a = bitarray('10011') for s, res in [('0', [1, 2]), ('1', [0, 3, 4]), ('01', [2]), ('11', [3]), ('000', []), ('1001', [0]), ('011', [2]), ('0011', [1]), ('10011', [0]), ('100111', [])]: self.assertEqual(a.search(s), res) b = bitarray(s) self.assertEqual(a.search(b), res) self.assertEqual(a.search(list(b)), res) self.assertEqual(a.search(tuple(b)), res) a = bitarray('10010101110011111001011') for limit in range(10): self.assertEqual(a.search('011', limit), [6, 11, 20][:limit]) # search is overlapping self.assertEqual(a.search('111'), [7, 12, 13, 14]) def test_fill(self): a = bitarray('') self.assertEqual(a.fill(), 0) self.assertEqual(len(a), 0) a = bitarray('101') self.assertEqual(a.fill(), 5) self.assertEQUAL(a, bitarray('10100000')) self.assertEqual(a.fill(), 0) self.assertEQUAL(a, bitarray('10100000')) for a in self.randombitarrays(): aa = a.tolist() la = len(a) b = a self.assert_(0 <= b.fill() < 8) self.assertEqual(b.endian(), a.endian()) bb = b.tolist() lb = len(b) self.assert_(a is b) self.check_obj(b) if la % 8 == 0: self.assertEqual(bb, aa) self.assertEqual(lb, la) else: self.assert_(lb % 8 == 0) self.assertNotEqual(bb, aa) self.assertEqual(bb[:la], aa) self.assertEqual(b[la:], (lb-la)bitarray('0')) self.assert_(0 < lb-la < 8) def test_sort(self): a = bitarray('1101000') a.sort() self.assertEqual(a, bitarray('0000111')) a = bitarray('1101000') a.sort(reverse=True) self.assertEqual(a, bitarray('1110000')) a = bitarray('1101000') a.sort(True) self.assertEqual(a, bitarray('1110000')) self.assertRaises(TypeError, a.sort, 'A') for a in self.randombitarrays(): ida = id(a) rev = randint(0, 1) a.sort(rev) self.assertEqual(a, bitarray(sorted(a.tolist(), reverse=rev))) self.assertEqual(id(a), ida) def test_reverse(self): self.assertRaises(TypeError, bitarray().reverse, 42) a = bitarray() a.reverse() self.assertEQUAL(a, bitarray()) a = bitarray('1001111') a.reverse() self.assertEQUAL(a, bitarray('1111001')) a = bitarray('11111000011') a.reverse() self.assertEQUAL(a, bitarray('11000011111')) for a in self.randombitarrays(): aa = a.tolist() ida = id(a) a.reverse() self.assertEqual(ida, id(a)) self.assertEQUAL(a, bitarray(aa[::-1], endian=a.endian())) def test_tolist(self): a = bitarray() self.assertEqual(a.tolist(), []) a = bitarray('110') self.assertEqual(a.tolist(), [True, True, False]) for lst in self.randomlists(): a = bitarray(lst) self.assertEqual(a.tolist(), lst) def test_remove(self): a = bitarray() for i in (True, False, 1, 0): self.assertRaises(ValueError, a.remove, i) a = bitarray(21) a.setall(0) self.assertRaises(ValueError, a.remove, 1) a.setall(1) self.assertRaises(ValueError, a.remove, 0) a = bitarray('1010110') a.remove(False); self.assertEqual(a, bitarray('110110')) a.remove(True); self.assertEqual(a, bitarray('10110')) a.remove(1); self.assertEqual(a, bitarray('0110')) a.remove(0); self.assertEqual(a, bitarray('110')) a = bitarray('0010011') b = a b.remove('1') self.assert_(b is a) self.assertEQUAL(b, bitarray('000011')) def test_pop(self): a = bitarray() self.assertRaises(IndexError, a.pop) for a in self.randombitarrays(): self.assertRaises(IndexError, a.pop, len(a)) self.assertRaises(IndexError, a.pop, -len(a)-1) if len(a) == 0: continue aa = a.tolist() enda = a.endian() self.assertEqual(a.pop(), aa[-1]) self.check_obj(a) self.assertEqual(a.endian(), enda) for a in self.randombitarrays(): if len(a) == 0: continue n = randint(-len(a), len(a)-1) aa = a.tolist() self.assertEqual(a.pop(n), aa[n]) self.check_obj(a) def test_setall(self): a = bitarray(5) a.setall(True) self.assertEQUAL(a, bitarray('11111')) for a in self.randombitarrays(): val = randint(0, 1) b = a b.setall(val) self.assertEqual(b, bitarray(len(b)[val])) self.assert_(a is b) self.check_obj(b) def test_bytereverse(self): a = bitarray() a.bytereverse() self.assertEqual(a, bitarray()) a = bitarray('1011') a.bytereverse() self.assertEqual(a, bitarray('0000')) a = bitarray('111011') a.bytereverse() self.assertEqual(a, bitarray('001101')) a = bitarray('11101101') a.bytereverse() self.assertEqual(a, bitarray('10110111')) for i in range(256): a = bitarray() a.frombytes(to_bytes(chr(i))) aa = a.tolist() b = a b.bytereverse() self.assertEqual(b, bitarray(aa[::-1])) self.assert_(a is b) self.check_obj(b) tests.append(MethodTests) # --------------------------------------------------------------------------- class StringTests(unittest.TestCase, Util): def randombytes(self): for n in range(1, 20): yield to_bytes(''.join(chr(randint(0, 255)) for x in range(n))) def test_frombytes(self): a = bitarray(endian='big') a.frombytes(to_bytes('A')) self.assertEqual(a, bitarray('01000001')) b = a b.frombytes(to_bytes('BC')) self.assertEQUAL(b, bitarray('01000001' '01000010' '01000011')) self.assert_(b is a) for b in self.randombitarrays(): c = b.__copy__() b.frombytes(to_bytes('')) self.assertEQUAL(b, c) for b in self.randombitarrays(): for s in self.randombytes(): a = bitarray(endian=b.endian()) a.frombytes(s) c = b.__copy__() b.frombytes(s) self.assertEQUAL(b[-len(a):], a) self.assertEQUAL(b[:-len(a)], c) self.assertEQUAL(c + a, b) def test_tobytes(self): a = bitarray() self.assertEqual(a.tobytes(), to_bytes('')) for end in ('big', 'little'): a = bitarray(endian=end) a.frombytes(to_bytes('foo')) self.assertEqual(a.tobytes(), to_bytes('foo')) for s in self.randombytes(): a = bitarray(endian=end) a.frombytes(s) self.assertEqual(a.tobytes(), s) for n, s in [(1, '\x01'), (2, '\x03'), (3, '\x07'), (4, '\x0f'), (5, '\x1f'), (6, '\x3f'), (7, '\x7f'), (8, '\xff'), (12, '\xff\x0f'), (15, '\xff\x7f'), (16, '\xff\xff'), (17, '\xff\xff\x01'), (24, '\xff\xff\xff')]: a = bitarray(n, endian='little') a.setall(1) self.assertEqual(a.tobytes(), to_bytes(s)) def test_unpack(self): a = bitarray('01') self.assertEqual(a.unpack(), to_bytes('\x00\xff')) self.assertEqual(a.unpack(to_bytes('A')), to_bytes('A\xff')) self.assertEqual(a.unpack(to_bytes('0'), to_bytes('1')), to_bytes('01')) self.assertEqual(a.unpack(one=to_bytes('\x01')), to_bytes('\x00\x01')) self.assertEqual(a.unpack(zero=to_bytes('A')), to_bytes('A\xff')) self.assertEqual(a.unpack(one=to_bytes('t'), zero=to_bytes('f')), to_bytes('ft')) self.assertRaises(TypeError, a.unpack, to_bytes('a'), zero=to_bytes('b')) self.assertRaises(TypeError, a.unpack, foo=to_bytes('b')) for a in self.randombitarrays(): self.assertEqual(a.unpack(to_bytes('0'), to_bytes('1')), to_bytes(a.to01())) b = bitarray() b.pack(a.unpack()) self.assertEqual(b, a) b = bitarray() b.pack(a.unpack(to_bytes('\x01'), to_bytes('\x00'))) b.invert() self.assertEqual(b, a) def test_pack(self): a = bitarray() a.pack(to_bytes('\x00')) self.assertEqual(a, bitarray('0')) a.pack(to_bytes('\xff')) self.assertEqual(a, bitarray('01')) a.pack(to_bytes('\x01\x00\x7a')) self.assertEqual(a, bitarray('01101')) a = bitarray() for n in range(256): a.pack(to_bytes(chr(n))) self.assertEqual(a, bitarray('0' + 255 '1')) self.assertRaises(TypeError, a.pack, 0) if is_py3k: self.assertRaises(TypeError, a.pack, '1') self.assertRaises(TypeError, a.pack, [1, 3]) self.assertRaises(TypeError, a.pack, bitarray()) tests.append(StringTests) # --------------------------------------------------------------------------- class FileTests(unittest.TestCase, Util): def setUp(self): self.tmpdir = tempfile.mkdtemp() self.tmpfname = os.path.join(self.tmpdir, 'testfile') def tearDown(self): shutil.rmtree(self.tmpdir) def test_cPickle(self): from pickle import load, dump for a in self.randombitarrays(): fo = open(self.tmpfname, 'wb') dump(a, fo) fo.close() b = load(open(self.tmpfname, 'rb')) self.assert_(b is not a) self.assertEQUAL(a, b) def test_shelve(self): import shelve, hashlib d = shelve.open(self.tmpfname) stored = [] for a in self.randombitarrays(): key = hashlib.md5(repr(a).encode() + a.endian().encode()).hexdigest() d[key] = a stored.append((key, a)) d.close() del d d = shelve.open(self.tmpfname) for k, v in stored: self.assertEQUAL(d[k], v) d.close() def test_fromfile_wrong_args(self): b = bitarray() self.assertRaises(TypeError, b.fromfile) self.assertRaises(TypeError, b.fromfile, StringIO()) # file not open self.assertRaises(TypeError, b.fromfile, 42) self.assertRaises(TypeError, b.fromfile, 'bar') def test_from_empty_file(self): fo = open(self.tmpfname, 'wb') fo.close() a = bitarray() a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(a, bitarray()) def test_from_large_file(self): N = 100000 fo = open(self.tmpfname, 'wb') fo.write(N * to_bytes('X')) fo.close() a = bitarray() a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(len(a), 8 * N) self.assertEqual(a.buffer_info()[1], N) # make sure there is no over-allocation self.assertEqual(a.buffer_info()[4], N) def test_fromfile_Foo(self): fo = open(self.tmpfname, 'wb') fo.write(to_bytes('Foo\n')) fo.close() a = bitarray(endian='big') a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(a, bitarray('01000110011011110110111100001010')) a = bitarray(endian='little') a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(a, bitarray('01100010111101101111011001010000')) a = bitarray('1', endian='little') a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(a, bitarray('101100010111101101111011001010000')) for n in range(20): a = bitarray(n, endian='little') a.setall(1) a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(a, nbitarray('1') + bitarray('01100010111101101111011001010000')) def test_fromfile_n(self): a = bitarray() a.fromstring('ABCDEFGHIJ') fo = open(self.tmpfname, 'wb') a.tofile(fo) fo.close() b = bitarray() f = open(self.tmpfname, 'rb') b.fromfile(f, 1); self.assertEqual(b.tostring(), 'A') f.read(1) b = bitarray() b.fromfile(f, 2); self.assertEqual(b.tostring(), 'CD') b.fromfile(f, 1); self.assertEqual(b.tostring(), 'CDE') b.fromfile(f, 0); self.assertEqual(b.tostring(), 'CDE') b.fromfile(f); self.assertEqual(b.tostring(), 'CDEFGHIJ') b.fromfile(f); self.assertEqual(b.tostring(), 'CDEFGHIJ') f.close() b = bitarray() f = open(self.tmpfname, 'rb') f.read(1); self.assertRaises(EOFError, b.fromfile, f, 10) f.close() self.assertEqual(b.tostring(), 'BCDEFGHIJ') b = bitarray() f = open(self.tmpfname, 'rb') b.fromfile(f); self.assertEqual(b.tostring(), 'ABCDEFGHIJ') self.assertRaises(EOFError, b.fromfile, f, 1) f.close() def test_tofile(self): a = bitarray() f = open(self.tmpfname, 'wb') a.tofile(f) f.close() fi = open(self.tmpfname, 'rb') self.assertEqual(fi.read(), to_bytes('')) fi.close() a = bitarray('01000110011011110110111100001010', endian='big') f = open(self.tmpfname, 'wb') a.tofile(f) f.close() fi = open(self.tmpfname, 'rb') self.assertEqual(fi.read(), to_bytes('Foo\n')) fi.close() for a in self.randombitarrays(): b = bitarray(a, endian='big') fo = open(self.tmpfname, 'wb') b.tofile(fo) fo.close() s = open(self.tmpfname, 'rb').read() self.assertEqual(len(s), a.buffer_info()[1]) for n in range(3): a.fromstring(n 'A') self.assertRaises(TypeError, a.tofile) self.assertRaises(TypeError, a.tofile, StringIO()) f = open(self.tmpfname, 'wb') a.tofile(f) f.close() self.assertRaises(TypeError, a.tofile, f) for n in range(20): a = n * bitarray('1', endian='little') fo = open(self.tmpfname, 'wb') a.tofile(fo) fo.close() s = open(self.tmpfname, 'rb').read() self.assertEqual(len(s), a.buffer_info()[1]) b = a.__copy__() b.fill() c = bitarray(endian='little') c.frombytes(s) self.assertEqual(c, b) tests.append(FileTests) # --------------------------------------------------------------------------- class PrefixCodeTests(unittest.TestCase): def test_encode_check_codedict(self): a = bitarray() self.assertRaises(TypeError, a.encode, 0, '') self.assertRaises(ValueError, a.encode, {}, '') self.assertRaises(TypeError, a.encode, {'a':42}, '') self.assertRaises(ValueError, a.encode, {'a':bitarray()}, '') # 42 not iterable self.assertRaises(TypeError, a.encode, {'a':bitarray('0')}, 42) self.assertEqual(len(a), 0) def test_encode_string(self): a = bitarray() d = {'a':bitarray('0')} a.encode(d, '') self.assertEqual(a, bitarray()) a.encode(d, 'a') self.assertEqual(a, bitarray('0')) self.assertEqual(d, {'a':bitarray('0')}) def test_encode_list(self): a = bitarray() d = {'a':bitarray('0')} a.encode(d, []) self.assertEqual(a, bitarray()) a.encode(d, ['a']) self.assertEqual(a, bitarray('0')) self.assertEqual(d, {'a':bitarray('0')}) def test_encode_iter(self): a = bitarray() d = {'a':bitarray('0'), 'b':bitarray('1')} a.encode(d, iter('abba')) self.assertEqual(a, bitarray('0110')) def foo(): for c in 'bbaabb': yield c a.encode(d, foo()) self.assertEqual(a, bitarray('0110110011')) self.assertEqual(d, {'a':bitarray('0'), 'b':bitarray('1')}) def test_encode(self): d = {'I':bitarray('1'), 'l':bitarray('01'), 'a':bitarray('001'), 'n':bitarray('000')} a = bitarray() a.encode(d, 'Ilan') self.assertEqual(a, bitarray('101001000')) a.encode(d, 'a') self.assertEqual(a, bitarray('101001000001')) self.assertEqual(d, {'I':bitarray('1'), 'l':bitarray('01'), 'a':bitarray('001'), 'n':bitarray('000')}) self.assertRaises(ValueError, a.encode, d, 'arvin') def test_decode_check_codedict(self): a = bitarray() self.assertRaises(TypeError, a.decode, 0) self.assertRaises(ValueError, a.decode, {}) # 42 not iterable self.assertRaises(TypeError, a.decode, {'a':42}) self.assertRaises(ValueError, a.decode, {'a':bitarray()}) def test_decode_simple(self): d = {'I':bitarray('1'), 'l':bitarray('01'), 'a':bitarray('001'), 'n':bitarray('000')} a = bitarray('101001000') self.assertEqual(a.decode(d), ['I', 'l', 'a', 'n']) self.assertEqual(d, {'I':bitarray('1'), 'l':bitarray('01'), 'a':bitarray('001'), 'n':bitarray('000')}) self.assertEqual(a, bitarray('101001000')) def test_decode_empty(self): d = {'a':bitarray('1')} a = bitarray() self.assertEqual(a.decode(d), []) self.assertEqual(d, {'a':bitarray('1')}) def test_decode_buggybitarray(self): d = {'a':bitarray('0')} a = bitarray('1') self.assertRaises(ValueError, a.decode, d) self.assertEqual(a, bitarray('1')) self.assertEqual(d, {'a':bitarray('0')}) def test_decode_buggybitarray2(self): d = {'a':bitarray('00'), 'b':bitarray('01')} a = bitarray('1') self.assertRaises(ValueError, a.decode, d) self.assertEqual(a, bitarray('1')) def test_decode_ambiguous_code(self): d = {'a':bitarray('0'), 'b':bitarray('0'), 'c':bitarray('1')} a = bitarray() self.assertRaises(ValueError, a.decode, d) def test_decode_ambiguous2(self): d = {'a':bitarray('01'), 'b':bitarray('01'), 'c':bitarray('1')} a = bitarray() self.assertRaises(ValueError, a.decode, d) def test_miscitems(self): d = {None :bitarray('00'), 0 :bitarray('110'), 1 :bitarray('111'), '' :bitarray('010'), 2 :bitarray('011')} a = bitarray() a.encode(d, [None, 0, 1, '', 2]) self.assertEqual(a, bitarray('00110111010011')) self.assertEqual(a.decode(d), [None, 0, 1, '', 2]) def test_real_example(self): code = {' ' : bitarray('001'), '.' : bitarray('0101010'), 'a' : bitarray('0110'), 'b' : bitarray('0001100'), 'c' : bitarray('000011'), 'd' : bitarray('01011'), 'e' : bitarray('111'), 'f' : bitarray('010100'), 'g' : bitarray('101000'), 'h' : bitarray('00000'), 'i' : bitarray('1011'), 'j' : bitarray('0111101111'), 'k' : bitarray('00011010'), 'l' : bitarray('01110'), 'm' : bitarray('000111'), 'n' : bitarray('1001'), 'o' : bitarray('1000'), 'p' : bitarray('101001'), 'q' : bitarray('00001001101'), 'r' : bitarray('1101'), 's' : bitarray('1100'), 't' : bitarray('0100'), 'u' : bitarray('000100'), 'v' : bitarray('0111100'), 'w' : bitarray('011111'), 'x' : bitarray('0000100011'), 'y' : bitarray('101010'), 'z' : bitarray('00011011110')} a = bitarray() a.encode(code, 'the quick brown fox jumps over the lazy dog.') self.assertEqual(a, bitarray('01000000011100100001001101000100101100' '00110001101000100011001101100001111110010010101001000000010001100' '10111101111000100000111101001110000110000111100111110100101000000' '0111001011100110000110111101010100010101110001010000101010')) self.assertEqual(''.join(a.decode(code)), 'the quick brown fox jumps over the lazy dog.') tests.append(PrefixCodeTests) # --------------------------------------------------------------------------- def pages(): if sys.platform != 'linux2': return 0 dat = open('/proc/%i/statm' % os.getpid()).read() return int(dat.split()[0]) def check_memory_leaks(verbosity): suite = unittest.TestSuite() for cls in tests: suite.addTest(unittest.makeSuite(cls)) logfile = 'pages.log' if os.path.isfile(logfile): os.unlink(logfile) i = 0 runner = unittest.TextTestRunner(verbosity=verbosity) while True: print('Run', i) r = runner.run(suite) if i % 1 == 0: fo = open(logfile, 'a') fo.write('%10i %r %10i\n' % (i, r.wasSuccessful(), pages())) fo.close() i += 1 def run(verbosity, chk_mem_leaks=False): suite = unittest.TestSuite() for cls in tests: suite.addTest(unittest.makeSuite(cls)) runner = unittest.TextTestRunner(verbosity=verbosity) return runner.run(suite) if __name__ == '__main__': verbosity = 2 if 'v' in sys.argv else 1 if 'm' in sys.argv: check_memory_leaks(verbosity) else: run(verbosity) else: from bitarray import __version__ print('bitarray is installed in:', os.path.dirname(__file__)) print('bitarray version:', __version__) print(sys.version)
import argparse import os import pickle from typing import Callable import pandas as pd import torch from torch.optim import Adagrad, Adadelta, Adam from common.data_iterator import DataLoader, NegativeSampler, TestIterator from config import CONFIG from model.callbacks import ModelCheckPoint, MlflowLogger from model.hrnn4recom import HRNN from model.loss_functions import TOP1Loss from model.metrics import nDCG, RecallAtK def args(): parser = argparse.ArgumentParser() parser.add_argument('-v', '--model_version', required=True, help='모델 버전', type=str) parser.add_argument('-d', '--dataset', default='10M', choices=['10M', '1M', 'BRUNCH'], help='데이터셋', type=str) parser.add_argument('-k', '--eval_k', default=25, help='', type=int) parser.add_argument('-lr', '--learning_rate', default=0.1, help='learning rate', type=float) parser.add_argument('-o', '--dropout', default=0.2, help='dropout', type=float) parser.add_argument('-bs', '--batch_size', default=50, help='batch size', type=int) parser.add_argument('-ns', '--negative_sample', default=0, help='negative sample size', type=int) return parser.parse_args() def get_optimizer(model, name: str, lr: float) -> Callable: """ optimizer를 return 하는 함수 Args: name: optimizer name lr: learning rate Returns: pytorch optimizer function """ functions = { 'Adagrad': Adagrad(model.parameters(), lr=lr, eps=0.00001, weight_decay=0.0), 'Adadelta': Adadelta(model.parameters(), lr=lr, eps=1e-06, weight_decay=0.0), 'Adam': Adam(model.parameters(), lr=lr, betas=(0.9, 0.999), eps=1e-06, weight_decay=0.0, amsgrad=False) } try: return functions[name] except KeyError: raise ValueError(f'optimizer [{name}] not exist, available optimizer {list(functions.keys())}') if __name__ == '__main__': argument = args() device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu') model_params = { 'hiddenUnits': 100, # 500 'negativeSampleSize': argument.negative_sample, 'learningRate': argument.learning_rate, 'loss': 'TOP1Loss', 'optimizer': 'Adagrad', #Adagrad 'k': argument.eval_k, 'dropout': argument.dropout, 'batchSize': argument.batch_size } print('loading data...') data_dir = os.path.join(CONFIG.DATA, argument.dataset) train_dataset = pickle.load(open(os.path.join(data_dir, f'train.pkl'), 'rb')) context_dataset = pickle.load(open(os.path.join(data_dir, f'valid.pkl'), 'rb')) item_meta = pd.read_csv(os.path.join(data_dir, f'item_meta.tsv'), sep='\t', low_memory=False) item_size = int(item_meta.item_id.max() + 1) model_params['itemSize'] = item_size n_sampler = NegativeSampler(item_meta, sample_size=model_params['negativeSampleSize']) train_dataloader = DataLoader( train_dataset, batch_size=model_params['batchSize'], device=device, negative_sampler=n_sampler if model_params['negativeSampleSize'] > 0 else None ) test_iterator = TestIterator( os.path.join(data_dir, 'negative_test.dat'), context_dataset, device=device ) hrnn = HRNN( model_params['hiddenUnits'], item_size, device=device, k=model_params['k'], dropout=model_params['dropout'] ) loss_func = TOP1Loss() optimizer = get_optimizer(hrnn, model_params['optimizer'], lr=model_params['learningRate']) metrics = [nDCG(), RecallAtK()] model_name = f'hrnn_v{argument.model_version}' callbacks = [ ModelCheckPoint( os.path.join( '.', 'result', argument.dataset, model_name + '-e{epoch:02d}-loss{val_loss:1.4f}-nDCG{val_nDCG:1.3f}.zip'), monitor='val_nDCG', mode='max' ) , MlflowLogger(f'{argument.dataset}', model_params, run_name=model_name, log_model=False) ] print(hrnn) print(f"device : {device}") hrnn.fit( 50, train_dataloader, test_iterator, loss_func=loss_func, optimizer=optimizer, metrics=metrics, callback=callbacks, sample=1. )
import datetime import os import time from numpy.lib import index_tricks import torch import torch.utils.data import transforms as T from torch import nn import torchvision import numpy as np import scipy.io import random from PIL import Image import matplotlib.image as mpimg from tqdm import tqdm from coco_utils import get_coco import presets import utils from torchvision import utils as torch_utils import os import sys import torch import torch.distributed as dist import matplotlib.pyplot as plt import math from torchvision.utils import save_image import torch import torchvision from torch.utils.tensorboard import SummaryWriter from models.segmentation.segmentation import _load_model import csv from torchvision.utils import save_image seed=565 random.seed(seed) os.environ['PYTHONHASHSEED'] = str(seed) np.random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed(seed) torch.cuda.manual_seed_all(seed) # if you are using multi-GPU. torch.backends.cudnn.benchmark = False torch.backends.cudnn.deterministic = True g = torch.Generator() g.manual_seed(seed) evaluate_step = 0 train_step = 0 def get_dataset(dir_path, name, image_set, transform): def sbd(args, kwargs): return torchvision.datasets.SBDataset(args, mode='segmentation', **kwargs) paths = { "coco": (dir_path, get_coco, 21), "voc": (dir_path, torchvision.datasets.VOCSegmentation, 21), "voc_aug": (dir_path, sbd, 21) } p, ds_fn, num_classes = paths[name] if name == "voc": ds = ds_fn(p, year="2012", image_set=image_set, transforms=transform, download=False) elif name == "voc_aug": ds = ds_fn(p, image_set=image_set, transforms=transform, download=False) else: ds = ds_fn(p, image_set=image_set, transforms=transform, download=False) return ds, num_classes def get_transform(train): base_size = 520 crop_size = 480 return presets.SegmentationPresetTrain(base_size, crop_size) if train else presets.SegmentationPresetEval(base_size, contrast=args.contrast, grid_size=args.grid_size) def main(args): utils.init_distributed_mode(args) print(args) iterator = utils.Iterator() device = torch.device(args.device) dataset, num_classes = get_dataset(args.data_path, args.dataset, "train", get_transform(train=True)) dataset_test, _ = get_dataset(args.data_path, args.dataset, "val", get_transform(train=False)) if args.distributed: train_sampler = torch.utils.data.distributed.DistributedSampler(dataset) test_sampler = torch.utils.data.distributed.DistributedSampler(dataset_test) else: train_sampler = torch.utils.data.RandomSampler(dataset) test_sampler = torch.utils.data.SequentialSampler(dataset_test) data_loader = torch.utils.data.DataLoader( dataset, batch_size=args.batch_size, sampler=train_sampler, num_workers=args.workers, collate_fn=utils.collate_fn, drop_last=True) data_loader_test = torch.utils.data.DataLoader( dataset_test, batch_size=1, sampler=test_sampler, num_workers=args.workers, collate_fn=utils.collate_fn) torch.save(data_loader_test, '/home/AD/rraina/segmentation_benchmark/semseg/dataloaders/dataloader_test_contrast(1.0,{:.1f}).pth'.format(args.contrast)) def get_args_parser(add_help=True): import argparse parser = argparse.ArgumentParser(description='PyTorch Segmentation Training', add_help=add_help) parser.add_argument('--data-path', default='/home/AD/rraina/segmentation_benchmark/', help='dataset path') parser.add_argument('--seed', default=429, type=float, help='seed') parser.add_argument('--dataset', default='coco', help='dataset name') parser.add_argument('--model', default='deeplabv3', help='model') parser.add_argument('--backbone', default='resnet101', help='backbone') parser.add_argument('--aux-loss', action='store_true', help='auxiliar loss') parser.add_argument('--device', default='cuda', help='device') parser.add_argument('-b', '--batch-size', default=8, type=int) parser.add_argument('--epochs', default=30, type=int, metavar='N', help='number of total epochs to run') parser.add_argument('-j', '--workers', default=16, type=int, metavar='N', help='number of data loading workers (default: 16)') parser.add_argument('--lr', default=0.01, type=float, help='initial learning rate') parser.add_argument('--momentum', default=0.9, type=float, metavar='M', help='momentum') parser.add_argument('--wd', '--weight-decay', default=1e-4, type=float, metavar='W', help='weight decay (default: 1e-4)', dest='weight_decay') parser.add_argument('--contrast', default=1.0, type=float) parser.add_argument('--grid-size', default=20, type=int) parser.add_argument('--print-freq', default=10, type=int, help='print frequency') parser.add_argument('--output', default='./deeplabv3resnet50', help='path where to save') parser.add_argument('--use-tensorboard', dest="use_tensorboard", help="Flag to use tensorboard", action="store_true",) parser.add_argument('--tensorboard-dir', default='runs', help='path where to save tensorboard') parser.add_argument('--resume', default='', help='resume from checkpoint') parser.add_argument('--start-epoch', default=0, type=int, metavar='N', help='start epoch') parser.add_argument( "--test-only", dest="test_only", help="Only test the model", action="store_true", ) parser.add_argument( "--pretrained", dest="pretrained", help="Use pre-trained models from the modelzoo", action="store_true", ) # distributed training parameters parser.add_argument('--world-size', default=1, type=int, help='number of distributed processes') parser.add_argument('--dist-url', default='env://', help='url used to set up distributed training') return parser if __name__ == "__main__": args = get_args_parser().parse_args() if args.use_tensorboard: writer = SummaryWriter(str(args.tensorboard_dir)) main(args)

# -*- coding: utf-8 -*- import LINETCR from LINETCR.lib.curve.ttypes import * from datetime import datetime import time, random, sys, ast, re, os, io, json, subprocess, threading, string, codecs, requests, ctypes, urllib, urllib2, urllib3, wikipedia, tempfile from bs4 import BeautifulSoup from urllib import urlopen import requests from io import StringIO from threading import Thread from gtts import gTTS from googletrans import Translator cl = LINETCR.LINE() #cl.login(qr=True) cl.login(token='Erkv7l2j2mSASxwVFoZ8.sGpL7MhXv/v78cRSmT7doa.eTfxddkYkHiMYLCcObtFkIBTOUDFr4XWr//CjYbDAP0=') # BOT PUBLIK cl.loginResult() print "❂➣ [BOT PUBLIK BERHASIL LOGIN]" reload(sys) sys.setdefaultencoding('utf-8') #album = None #image_path = 'tmp/tmp.jpg' helpMessage =""" ============================ 🤖 BOT KEY 🤖 ============================ 01. Apakah [text] = Kr_ajaib 02. Kapan [text] = Tanya bot 03. Dosa @ [by tag] 04. Pahala @ [by tag] 05. Gcreator 06. Bot spam on [jml] [text] 07. Search image: [text] 08. Instagram: [username] 09. Wikipedia: [search words] 10. Playstore: [search words] 11. Anime: [search words] 12. Lirik: [artis] [judul] 13. Music: [artis] [judul] 14. youtube: [text] 15. youtube search: [text] 16. Mister/Mr (cek bot) 17. Dubbing [text] 18. Name: [tag member] 19. Bio: [tag member] 20. Info: [tag member] 21. Getinfo: [tag member] 22. Getprofile [tag member] 23. Getcontact: [tag member] 24. Getpp [tag member] 25. Gethome [tag member] 26. Getimage group 27. Set sider 28. Cek sider 29. setview 30. viewseen 31. Tagall/Mentionall 32. Gift 33. Gift1 34. Gift2 35. Gift3 36. Line clone 37. Key translate 38. love [Siti love adi] 39. sider on/off (auto) ============================= My creator: line.me//ti/p/~tak.dapat.tidur ============================= """ socmedMessage =""" ╔═════════════ ║ SOSMED KEY ║╔════════════ ║╠❂͜͡🌟➣Wikipedia: [тeхт] ║╠❂͜͡🌟➣Instagram: [username] ║╠❂͜͡🌟➣Image: [тeхт] ║╠❂͜͡🌟➣Lirik: [тeхт] ║╠❂͜͡🌟➣Lineid: [тeхт] ║╠❂͜͡🌟➣Music: [artis] [judul] ║╠❂͜͡🌟➣тιмe [тιмe] ║╠❂͜͡🌟➣ѕay [тeхт] ║╚════════════ ╚═════════════ """ translateMessage =""" ╔═════════════ ║ TRANSLATE KEY ║╔════════════ ║╠☔тr-ιd = ιndoneѕιa ║╠☔тr-мy = мyanмar ║╠☔тr-en = englιѕн ║╠☔тr-тн = тнaιland ║╠☔тr-ja = japaneѕe ║╠☔тr-мѕ = мalayѕιa ║╠☔тr-ιт = ιтalιan ║╠☔тr-тr = тυrĸιѕн ║╠☔тr-aғ = aғrιĸaanѕ ║╠☔тr-ѕq = alвanιan ║╠☔тr-aм = aмнarιc ║╠☔тr-ar = araвιc ║╠☔тr-нy = arмenιan ║╚════════════ ╚═════════════ """ botMessage =""" ╔═════════════ ║ BOT KEY ║╔════════════ ║╠❂͜͡⚡➣Set sider > Cek sider ║╠❂͜͡⚡➣Tes / Sepi ║╠❂͜͡⚡➣Reѕpon ║╠❂͜͡⚡➣Speed / Sp ║╠❂͜͡⚡➣Grup list ║╠❂͜͡⚡➣Tagall / Mentionall ║╚════════════ ╚═════════════ """ settingMessage ="""Empty""" #╔═════════════ #║ SETTING KEY #║╔════════════ #║╠❂͜͡🌟➣ѕeт #║╠❂͜͡🌟➣тag on/oғғ #║╠❂͜͡🌟➣aυтolιĸe on/oғғ #║╠❂͜͡🌟➣add on/oғғ #║╠❂͜͡🌟➣joιn on/oғғ #║╠❂͜͡🌟➣ѕнare on/oғғ #║╠❂͜͡🌟➣coммenт on/oғғ #║╚════════════ #╚═════════════ #""" giftMessage =""" ╔═════════════ ║ GIFT KEY ║╔════════════ ║╠❂͜͡🌟➣gιғт ║╠❂͜͡🌟➣gιғт 1 ║╠❂͜͡🌟➣gιғт 2 ║╠❂͜͡🌟➣gιғт 3 ║╚════════════ ╚═════════════ """ stealMessage =""" ╔═════════════ ║ STEAL KEY ║╔════════════ ║╠❂͜͡🌟➣geтnaмe @ ║╠❂͜͡🌟➣geтвιo @ ║╠❂͜͡🌟➣geтιnғo @ ║╠❂͜͡🌟➣geтpp @ ║╠❂͜͡🌟➣geтмιd @ ║╠❂͜͡🌟➣geтgroυp ║╠❂͜͡🌟➣papιмage ║╠❂͜͡🌟➣papvιdeo ║╚════════════ ╚═════════════ """ KAC=[cl] mid = cl.getProfile().mid Bots=[mid] owner=["u3cfa63811888b3a880bc4f348a95b23b","u0040a6dfc0a274f29899cccfc1c9b457",mid] admin=["u3cfa63811888b3a880bc4f348a95b23b","u0040a6dfc0a274f29899cccfc1c9b457",mid] baby=[""]#chery/barby/ranita creator=["u3cfa63811888b3a880bc4f348a95b23b","u0040a6dfc0a274f29899cccfc1c9b457"] owner=["u3cfa63811888b3a880bc4f348a95b23b","u0040a6dfc0a274f29899cccfc1c9b457"] wait = { 'contact':False, 'autoJoin':True, 'autoCancel':{"on":True,"members":1}, 'leaveRoom':False, 'autoAdd':False, 'timeline':True, 'displayName':True, "Timeline":True, "message":"""Thanks for add me (^_^)\n\nContact My cerator:\nline.me/ti/p/~tak.dapat.tidur""", "lang":"JP", "comment":"Invite to your group ヘ(^_^)ヘ\n\nContact My cerator:\nline.me/ti/p/~tak.dapat.tidur", "commentOn":True, "commentBlack":{}, "wblack":False, "dblack":False, "clock":False, "blacklist":{}, "wblacklist":False, "dblacklist":False, "auto":True, "tag":True, "pap":True, "steal":{}, 'pap':{}, 'invite':{}, "spam":{}, "gift":{}, "likeOn":True, "alwayRead":True, "detectMention":True, "detectMention2":True, 'point':False, 'sidermem':False, "mid":{}, "sendMessage":True, "Mimic":False, "mimic":False, "winvite":True, "winvite2":False, "Wc":True, "Lv":True, "atjointicket":True, "Sider":{}, "members":1, "Simi":{}, "BlGroup":{} } settings = { "simiSimi":{} } cctv = { "cyduk":{}, "point":{}, "sidermem":{} } wait2 = { 'readPoint':{}, 'readMember':{}, 'setTime':{}, 'ROM':{} } mimic = { "copy":False, "copy2":False, "status":False, "target":{} } setTime = {} setTime = wait2['setTime'] contact = cl.getProfile() mybackup = cl.getProfile() mybackup.displayName = contact.displayName mybackup.statusMessage = contact.statusMessage mybackup.pictureStatus = contact.pictureStatus contact = cl.getProfile() backup = cl.getProfile() backup.displayName = contact.displayName backup.statusMessage = contact.statusMessage backup.pictureStatus = contact.pictureStatus contact = cl.getProfile() profile = cl.getProfile() profile.displayName = contact.displayName profile.statusMessage = contact.statusMessage profile.pictureStatus = contact.pictureStatus mulai = time.time() agent = {'User-Agent' : "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)"} def translate(to_translate, to_language="auto", language="auto"): bahasa_awal = "auto" bahasa_tujuan = to_language kata = to_translate url = 'http://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] return result def download_page(url): version = (3,0) cur_version = sys.version_info if cur_version >= version: #If the Current Version of Python is 3.0 or above import urllib,request #urllib library for Extracting web pages try: headers = {} headers['User-Agent'] = "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36" req = urllib,request.Request(url, headers = headers) resp = urllib,request.urlopen(req) respData = str(resp.read()) return respData except Exception as e: print(str(e)) else: #If the Current Version of Python is 2.x import urllib2 try: headers = {} headers['User-Agent'] = "Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1312.27 Safari/537.17" req = urllib2.Request(url, headers = headers) response = urllib2.urlopen(req) page = response.read() return page except: return"Page Not found" #Finding 'Next Image' from the given raw page def _images_get_next_item(s): start_line = s.find('rg_di') if start_line == -1: #If no links are found then give an error! end_quote = 0 link = "no_links" return link, end_quote else: start_line = s.find('"class="rg_meta"') start_content = s.find('"ou"',start_line+90) end_content = s.find(',"ow"',start_content-90) content_raw = str(s[start_content+6:end_content-1]) return content_raw, end_content #Getting all links with the help of '_images_get_next_image' def _images_get_all_items(page): items = [] while True: item, end_content = _images_get_next_item(page) if item == "no_links": break else: items.append(item) #Append all the links in the list named 'Links' time.sleep(0.1) #Timer could be used to slow down the request for image downloads page = page[end_content:] return items def sendFileWithURL(self, url, name = ''): """Send a File with given File url :param url: File url to send """ from urlparse import urlparse from os.path import basename import urllib2 if name == '': name = basename(urlparse(url).path) file = urllib2.urlopen(url) output = open('pythonLine.data','wb') output.write(file.read()) output.close() try: self.sendFile('pythonLine.data', name) except Exception as e: raise e def yt(query): with requests.session() as s: isi = [] if query == "": query = "S1B tanysyz" s.headers['user-agent'] = 'Mozilla/5.0' url = 'https://www.youtube.com/results' params = {'search_query': query} r = s.get(url, params=params) soup = BeautifulSoup(r.content, 'html5lib') for a in soup.select('.yt-lockup-title > a[title]'): if '&list=' not in a['href']: if 'watch?v' in a['href']: b = a['href'].replace('watch?v=', '') isi += ['youtu.be' + b] return isi def waktu(secs): mins, secs = divmod(secs,60) hours, mins = divmod(mins,60) return '%02d Jam %02d Menit %02d Detik' % (hours, mins, secs) def upload_tempimage(client): ''' Upload a picture of a kitten. We don't ship one, so get creative! ''' config = { 'album': album, 'name': 'bot auto upload', 'title': 'bot auto upload', 'description': 'bot auto upload' } print("Uploading image... ") image = client.upload_from_path(image_path, config=config, anon=False) print("Done") print() return image def sendImage(self, to_, path): M = Message(to=to_,contentType = 1) M.contentMetadata = None M.contentPreview = None M_id = self.Talk.client.sendMessage(0,M).id files = { 'file': open(path, 'rb'), } params = { 'name': 'media', 'oid': M_id, 'size': len(open(path, 'rb').read()), 'type': 'image', 'ver': '1.0', } data = { 'params': json.dumps(params) } r = self.post_content('http://os.line.naver.jp/talk/m/upload.nhn', data=data, files=files) if r.status_code != 201: raise Exception('Upload image failure.') return True def sendImageWithURL(self, to_, url): path = '%s/pythonLine-%i.data' % (tempfile.gettempdir(), randint(0, 9)) r = requests.get(url, stream=True) if r.status_code == 200: with open(path, 'w') as f: shutil.copyfileobj(r.raw, f) else: raise Exception('Download image failure.') try: self.sendImage(to_, path) except Exception as e: raise e def restart_program(): python = sys.executable os.execl(python, python, * sys.argv) def post_content(self, urls, data=None, files=None): return self._session.post(urls, headers=self._headers, data=data, files=files) def NOTIFIED_READ_MESSAGE(op): try: if op.param1 in wait2['readPoint']: Name = cl.getContact(op.param2).displayName if Name in wait2['readMember'][op.param1]: pass else: wait2['readMember'][op.param1] += "\n9§9" + Name wait2['ROM'][op.param1][op.param2] = "9§9" + Name else: pass except: pass def sendAudio(self, to_, path): M = Message(to=to_, text=None, contentType = 3) M_id = self.Talk.client.sendMessage(0,M).id files = { 'file': open(path, 'rb'), } params = { 'name': 'media', 'oid': M_id, 'size': len(open(path, 'rb').read()), 'type': 'audio', 'ver': '1.0', } data = { 'params': json.dumps(params) } r = self.post_content('https://os.line.naver.jp/talk/m/upload.nhn', data=data, files=files) print r if r.status_code != 201: raise Exception('Upload audio failure.') def sendAudioWithURL(self, to_, url): path = '%s/pythonLine-%i.data' % (tempfile.gettempdir(), randint(0, 9)) r = requests.get(url, stream=True) if r.status_code == 200: with open(path, 'w') as f: shutil.copyfileobj(r.raw, f) else: raise Exception('Download audio failure.') try: self.sendAudio(to_, path) except Exception as e: raise e def sendVoice(self, to_, path): M = Message(to=to_, text=None, contentType = 3) M.contentPreview = None M_id = self._client.sendMessage(0,M).id files = { 'file': open(path, 'rb'), } params = { 'name': 'voice_message', 'oid': M_id, 'size': len(open(path, 'rb').read()), 'type': 'audio', 'ver': '1.0', } data = { 'params': json.dumps(params) } r = self.post_content('http://os.line.naver.jp/talk/m/upload.nhn', data=data, files=files) if r.status_code != 201: raise Exception('Upload voice failure.') return True def tagall(to,nama): aa = "" bb = "" strt = int(12) akh = int(12) nm = nama #print nm for mm in nm: akh = akh + 2 aa += """{"S":"""+json.dumps(str(strt))+""","E":"""+json.dumps(str(akh))+""","M":"""+json.dumps(mm)+"},""" strt = strt + 6 akh = akh + 4 bb += "✮ @c \n" aa = (aa[:int(len(aa)-1)]) msg = Message() msg.to = to msg.text = "「Mention」\n"+bb msg.contentMetadata = {'MENTION':'{"MENTIONEES":['+aa+']}','EMTVER':'4'} print "[Command] Tag All" try: cl.sendMessage(msg) except Exception as error: print error def summon(to,nama): aa = "" bb = "" strt = int(14) akh = int(14) nm = nama for mm in nm: akh = akh + 2 aa += """{"S":"""+json.dumps(str(strt))+""","E":"""+json.dumps(str(akh))+""","M":"""+json.dumps(mm)+"},""" strt = strt + 6 akh = akh + 4 bb += "\xe2\x95\xa0 @x \n" aa = (aa[:int(len(aa)-1)]) msg = Message() msg.to = to msg.text = "\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\n"+bb+"\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90" msg.contentMetadata ={'MENTION':'{"MENTIONEES":['+aa+']}','EMTVER':'4'} print "[Command] Tag Sider on" try: cl.sendMessage(msg) except Exception as error: print error def sendMessage(to, text, contentMetadata={}, contentType=0): mes = Message() mes.to, mes.from_ = to, profile.mid mes.text = text mes.contentType, mes.contentMetadata = contentType, contentMetadata if to not in messageReq: messageReq[to] = -1 messageReq[to] += 1 def removeAllMessages(self, lastMessageId): return self._client.removeAllMessages(0, lastMessageId) def bot(op): try: if op.type == 0: return if op.type == 13: if wait["auto"] == True: cl.acceptGroupInvitation(op.param1) cl.sendText(op.param1, "Do not invite anyone !! In addition to permission from the board or group owner. Thank you 🙂") if op.type == 5: if wait["autoAdd"] == True: cl.findAndAddContactsByMid(op.param1) if(wait["message"]in[""," ","\n",None]): pass else: cl.sendText(op.param1,str(wait["message"])) if op.type == 55: try: group_id = op.param1 user_id=op.param2 subprocess.Popen('echo "'+ user_id+'|'+str(op.createdTime)+'" >> dataSeen/%s.txt' % group_id, shell=True, stdout=subprocess.PIPE, ) except Exception as e: print e if op.type == 55: try: if cctv['cyduk'][op.param1]==True: if op.param1 in cctv['point']: Name = cl.getContact(op.param2).displayName # Name = summon(op.param2) if Name in cctv['sidermem'][op.param1]: pass else: cctv['sidermem'][op.param1] += "\n• " + Name if " " in Name: nick = Name.split(' ') if len(nick) == 2: cl.sendText(op.param1, "Haii " + "☞ " + Name + " ☜" + "\nCie cie yang jones ngintip aja cie . . .\nSini napa nes (-__-) ") time.sleep(0.2) summon(op.param1,[op.param2]) else: cl.sendText(op.param1, "Haii " + "☞ " + Name + " ☜" + "\nBisulan tujuh turunan cctv telus . . .\nChat Napa (-__-) ") time.sleep(0.2) summon(op.param1,[op.param2]) else: cl.sendText(op.param1, "Haii " + "☞ " + Name + " ☜" + "\nKak ngapain ngintip ? \nSini Dong ih.. ") time.sleep(0.2) summon(op.param1,[op.param2]) else: pass else: pass except: pass else: pass if op.type == 26: msg = op.message if msg.to in settings["simiSimi"]: if settings["simiSimi"][msg.to] == True: if msg.text is not None: text = msg.text r = requests.get("http://api.ntcorp.us/chatbot/v1/?text=" + text.replace(" ","+") + "&key=beta1.nt") data = r.text data = json.loads(data) if data['status'] == 200: if data['result']['result'] == 100: cl.sendText(msg.to, "[From Simi]\n" + data['result']['response'].encode('utf-8')) if 'MENTION' in msg.contentMetadata.keys() != None: if wait["detectMention"] == True: contact = cl.getContact(msg.from_) cName = contact.displayName balas = ["",cName + " Ada apa kak panggil aku ?, ", cName + " Kangen kak ? Datang aja ke lumah aku", cName + " Yang tag jones ", "Maaf aku lagi nikung janga ganggu, " + cName + "?","Au ah tag mulu, ", "Lagi anu kak tanggung mau keluar, "] ret_ = random.choice(balas) name = re.findall(r'@(\w+)', msg.text) mention = ast.literal_eval(msg.contentMetadata['MENTION']) mentionees = mention['MENTIONEES'] for mention in mentionees: if mention['M'] in Bots: cl.sendText(msg.to,ret_) cl.sendText(msg.from_,ret_) time.sleep(0.2) summon(op.param1,[op.param2]) break if 'MENTION' in msg.contentMetadata.keys() != None: if wait["detectMention2"] == True: contact = cl.getContact(msg.from_) cName = contact.displayName balas = ["Woii " + cName + ", Dasar Jones Ngetag Mulu!"] balas1 = "Ini Foto Sii Jones Yang Suka Ngetag. . ." ret_ = random.choice(balas) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus name = re.findall(r'@(\w+)', msg.text) mention = ast.literal_eval(msg.contentMetadata['MENTION']) mentionees = mention['MENTIONEES'] for mention in mentionees: if mention['M'] in Bots: cl.sendText(msg.to,ret_) cl.sendText(msg.to,balas1) cl.sendImageWithURL(msg.to,image) msg.contentType = 7 msg.text = None msg.contentMetadata = { "STKID": "7", "STKPKGID": "1", "STKVER": "100" } cl.sendMessage(msg) break #--------------------------------------------------------------------- if op.type == 26: msg = op.message if msg.text is None: return if "@"+cl.getProfile().displayName in msg.text: if wait["tag"] == True: tanya = msg.text.replace("@"+cl.getProfile().displayName,"") jawab = ("Kenapa Tag Si "+cl.getProfile().displayName+" Kangen yah..!!!\nPC aja langsung biar anu hihi..!!","Nah ngetag lagi si "+cl.getProfile().displayName+" mending ajak mojok nah bozz saya 👉 🍁հմՏɑíղ✍️ line.me//t/p/~tak.dapat.tidur kasian bozz saya jones,, dari pada ngetag mulu.. wkwk...!!!") jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) #------Open QR Kick finish-----# if wait["alwayRead"] == True: if msg.toType == 0: cl.sendChatChecked(msg.from_,msg.id) else: cl.sendChatChecked(msg.to,msg.id) if op.type == 25: msg = op.message if msg.contentType == 13: if wait["wblack"] == True: if msg.contentMetadata["mid"] in wait["commentBlack"]: cl.sendText(msg.to,"In Blacklist") wait["wblack"] = False else: wait["commentBlack"][msg.contentMetadata["mid"]] = True wait["wblack"] = False cl.sendText(msg.to,"Nothing") if op.type == 17: if wait["Wc"] == True: if op.param2 in Bots: return ginfo = cl.getGroup(op.param1) contact = cl.getContact(op.param2) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus c = Message(to=op.param1, from_=None, text=None, contentType=13) c.contentMetadata={'mid':op.param2} cl.sendMessage(c) cl.sendImageWithURL(op.param1,image) cl.sendText(op.param1,"Hii... " + cl.getContact(op.param2).displayName + " \nWelcome to " + str(ginfo.name) + "\n\n" + "Group creator :\n👉 " + ginfo.creator.displayName + "\n\nObey the rules in the group admin\nAnd hopefully feel at home here 🙂\nPlease type [Help/Key], For help. And use wisely. Thank you 🙂") print "MEMBER HAS JOIN THE GROUP" if op.type == 15: if wait["Lv"] == True: if op.param2 in Bots: return contact = cl.getContact(op.param2) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus c = Message(to=op.param1, from_=None, text=None, contentType=13) c.contentMetadata={'mid':op.param2} cl.sendMessage(c) cl.sendImageWithURL(op.param1,image) cl.sendText(op.param1,"Good bye " + cl.getContact(op.param2).displayName + "\nSee you next time . . . (p′︵‵。) 🤗") print "MEMBER HAS LEFT THE GROUP" #----------------------------------------------- if op.type == 25: msg = op.message if msg.contentType == 13: if wait["winvite"] == True: if msg.from_ in admin: _name = msg.contentMetadata["displayName"] invite = msg.contentMetadata["mid"] groups = cl.getGroup(msg.to) pending = groups.invitee targets = [] for s in groups.members: if _name in s.displayName: cl.sendText(msg.to,"-> " + _name + " was here") break elif invite in wait["blacklist"]: cl.sendText(msg.to,"Sorry, " + _name + " On Blacklist") cl.sendText(msg.to,"Call my daddy to use command !, \n➡Unban: " + invite) break else: targets.append(invite) if targets == []: pass else: for target in targets: try: cl.findAndAddContactsByMid(target) cl.inviteIntoGroup(msg.to,[target]) cl.sendText(msg.to,"Done Invite : \n➡" + _name) wait["winvite"] = False break except: try: cl.findAndAddContactsByMid(invite) cl.inviteIntoGroup(op.param1,[invite]) wait["winvite"] = False except: cl.sendText(msg.to,"Negative, Error detected") wait["winvite"] = False break #--------------NOTIFIED_INVITE_INTO_GROUP---------------- if op.type == 13: print op.param3 if op.param3 in mid: if op.param2 in creator: cl.acceptGroupInvitation(op.param1) #-------------------------------------------------------- if op.type == 13: if mid in op.param3: if wait["autoJoin"] == True: if op.param2 in Bots or owner or mid: cl.acceptGroupInvitation(op.param1) cl.rejectGroupInvitation(op.param1) cl.sendText(op.param1, "Thank you for inviting me.\nIntroduce my name is Mr. Rius 🤖\n\nPlease type [Help/Key], For help. And use wisely. Thank you 🙂") else: cl.rejectGroupInvitation(op.param1) else: print "autoJoin is Off" #================================================================ if op.type == 22: if wait["leaveRoom"] == True: cl.leaveRoom(op.param1) if op.type == 24: if wait["leaveRoom"] == True: cl.leaveRoom(op.param1) if op.type == 26: msg = op.message #----------------------------------------- if msg.toType == 1: if wait["leaveRoom"] == True: cl.leaveRoom(msg.to) if msg.contentType == 16: url = msg.contentMetadata("line://home/post?userMid="+mid+"&postId="+"new_post") cl.like(url[25:58], url[66:], likeType=1001) if op.type == 26: msg = op.message if msg.contentType == 13: if wait["wblack"] == True: if msg.contentMetadata["mid"] in wait["commentBlack"]: cl.sendText(msg.to,"already") wait["wblack"] = False else: wait["commentBlack"][msg.contentMetadata["mid"]] = True wait["wblack"] = False cl.sendText(msg.to,"decided not to comment") elif wait["dblack"] == True: if msg.contentMetadata["mid"] in wait["commentBlack"]: del wait["commentBlack"][msg.contentMetadata["mid"]] cl.sendText(msg.to,"deleted") cl.sendText(msg.to,"deleted") cl.sendText(msg.to,"deleted") kc.sendText(msg.to,"deleted") wait["dblack"] = False else: wait["dblack"] = False cl.sendText(msg.to,"It is not in the black list") cl.sendText(msg.to,"It is not in the black list") cl.sendText(msg.to,"It is not in the black list") kc.sendText(msg.to,"It is not in the black list") elif wait["wblacklist"] == True: if msg.contentMetadata["mid"] in wait["blacklist"]: cl.sendText(msg.to,"already") cl.sendText(msg.to,"already") cl.sendText(msg.to,"already") kc.sendText(msg.to,"already") wait["wblacklist"] = False else: wait["blacklist"][msg.contentMetadata["mid"]] = True wait["wblacklist"] = False cl.sendText(msg.to,"aded") cl.sendText(msg.to,"aded") cl.sendText(msg.to,"aded") kc.sendText(msg.to,"aded") elif wait["dblacklist"] == True: if msg.contentMetadata["mid"] in wait["blacklist"]: del wait["blacklist"][msg.contentMetadata["mid"]] cl.sendText(msg.to,"deleted") cl.sendText(msg.to,"deleted") cl.sendText(msg.to,"deleted") kc.sendText(msg.to,"deleted") wait["dblacklist"] = False else: wait["dblacklist"] = False cl.sendText(msg.to,"It is not in the black list") cl.sendText(msg.to,"It is not in the black list") cl.sendText(msg.to,"It is not in the black list") kc.sendText(msg.to,"It is not in the black list") elif wait["contact"] == True: msg.contentType = 0 cl.sendText(msg.to,msg.contentMetadata["mid"]) if 'displayName' in msg.contentMetadata: contact = cl.getContact(msg.contentMetadata["mid"]) try: cu = cl.channel.getCover(msg.contentMetadata["mid"]) except: cu = "" cl.sendText(msg.to,"[displayName]:\n" + msg.contentMetadata["displayName"] + "\n[mid]:\n" + msg.contentMetadata["mid"] + "\n[statusMessage]:\n" + contact.statusMessage + "\n[pictureStatus]:\nhttp://dl.profile.line-cdn.net/" + contact.pictureStatus + "\n[coverURL]:\n" + str(cu)) else: contact = cl.getContact(msg.contentMetadata["mid"]) try: cu = cl.channel.getCover(msg.contentMetadata["mid"]) except: cu = "" cl.sendText(msg.to,"[displayName]:\n" + contact.displayName + "\n[mid]:\n" + msg.contentMetadata["mid"] + "\n[statusMessage]:\n" + contact.statusMessage + "\n[pictureStatus]:\nhttp://dl.profile.line-cdn.net/" + contact.pictureStatus + "\n[coverURL]:\n" + str(cu)) elif msg.contentType == 16: if wait["timeline"] == True: msg.contentType = 0 if wait["lang"] == "JP": msg.text = "post URL\n" + msg.contentMetadata["postEndUrl"] else: msg.text = "URL�0�10��9�0�16�0�69�0�3�0�4\n" + msg.contentMetadata["postEndUrl"] cl.sendText(msg.to,msg.text) elif msg.text is None: return elif msg.text in ["Help","Key","help","key"]: if wait["lang"] == "JP": cl.sendText(msg.to,helpMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key translate"]: if wait["lang"] == "JP": cl.sendText(msg.to,translateMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key7"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,botMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key2"]: if wait["lang"] == "JP": cl.sendText(msg.to,socmedMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key4"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,protectMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key5"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,settingMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key6"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,stealMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif msg.text in ["Key3"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,giftMessage) else: cl.sendText(msg.to,helpt) #-------------------------------------------------- elif ("Gn: " in msg.text): if msg.from_ in admin or owner: if msg.toType == 2: X = cl.getGroup(msg.to) X.name = msg.text.replace("Gn: ","") cl.updateGroup(X) else: cl.sendText(msg.to,"It can't be used besides the group.") #-------------------------------------------------- elif "Jemput dia " in msg.text: if msg.from_ in admin or owner: midd = msg.text.replace("Jemput dia ","") cl.findAndAddContactsByMid(midd) cl.inviteIntoGroup(msg.to,[midd]) #-------------------------------------------------- elif msg.text in ["Me"]: msg.contentType = 13 msg.contentMetadata = {'mid': mid} cl.sendMessage(msg) #-------------------------------------------------- elif msg.text in ["Ourl","Link on","Urlon"]: if msg.from_ in admin or owner: if msg.toType == 2: X = cl.getGroup(msg.to) X.preventJoinByTicket = False cl.updateGroup(X) if wait["lang"] == "JP": cl.sendText(msg.to,"Done") else: cl.sendText(msg.to,"already open") else: if wait["lang"] == "JP": cl.sendText(msg.to,"Can not be used outside the group") else: cl.sendText(msg.to,"Not for use less than group") #-------------------------------------------------- elif msg.text in ["Curl","Link off","Urloff"]: if msg.from_ in admin or owner: if msg.toType == 2: X = cl.getGroup(msg.to) X.preventJoinByTicket = True cl.updateGroup(X) if wait["lang"] == "JP": cl.sendText(msg.to,"Done") else: cl.sendText(msg.to,"already close") else: if wait["lang"] == "JP": cl.sendText(msg.to,"Can not be used outside the group") else: cl.sendText(msg.to,"Not for use less than group") #-------------------------------------------------- elif "jointicket " in msg.text.lower(): rplace=msg.text.lower().replace("jointicket ") if rplace == "on": wait["atjointicket"]=True elif rplace == "off": wait["atjointicket"]=False cl.sendText(msg.to,"Auto Join Group by Ticket is %s" % str(wait["atjointicket"])) elif '/ti/g/' in msg.text.lower(): link_re = re.compile('(?:line\:\/|line\.me\/R)\/ti\/g\/([a-zA-Z0-9_-]+)?') links = link_re.findall(msg.text) n_links=[] for l in links: if l not in n_links: n_links.append(l) for ticket_id in n_links: if wait["atjointicket"] == True: group=cl.findGroupByTicket(ticket_id) cl.acceptGroupInvitationByTicket(group.mid,ticket_id) cl.sendText(msg.to,"Sukses join ke grup %s" % str(group.name)) #-------------------------------------------------- elif msg.text == "Ginfo": if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: gCreator = ginfo.creator.displayName except: gCreator = "Error" if wait["lang"] == "JP": if ginfo.invitee is None: sinvitee = "0" else: sinvitee = str(len(ginfo.invitee)) if ginfo.preventJoinByTicket == True: u = "Close" else: u = "Open" cl.sendText(msg.to,"[Group Name]\n" + str(ginfo.name) + "\n\n[Group id]\n" + msg.to + "\n\n[Group Creator]\n" + gCreator + "\n\n[Profile Status]\nhttp://dl.profile.line.naver.jp/" + ginfo.pictureStatus + "\nMembers: " + str(len(ginfo.members)) + " members\nPending: " + sinvitee + " people\nURL: " + u + " it is inside") else: cl.sendText(msg.to,"[Group Name]\n" + str(ginfo.name) + "\n\n[Group id]\n" + msg.to + "\n\n[Group Creator]\n" + gCreator + "\n\n[Profile Status]\nhttp://dl.profile.line.naver.jp/" + ginfo.pictureStatus) else: if wait["lang"] == "JP": cl.sendText(msg.to,"Can not be used outside the group") else: cl.sendText(msg.to,"Not for use less than group") #-------------------------------------------------- elif "Details group: " in msg.text: if msg.from_ in admin: gid = msg.text.replace("Details group: ","") if gid in [""," "]: cl.sendText(msg.to,"Grup id tidak valid") else: try: groups = cl.getGroup(gid) if groups.members is not None: members = str(len(groups.members)) else: members = "0" if groups.invitee is not None: pendings = str(len(groups.invitee)) else: pendings = "0" h = "[" + groups.name + "]\n -+GroupID : " + gid + "\n -+Members : " + members + "\n -+MembersPending : " + pendings + "\n -+Creator : " + groups.creator.displayName + "\n -+GroupPicture : http://dl.profile.line.naver.jp/" + groups.pictureStatus cl.sendText(msg.to,h) except Exception as error: cl.sendText(msg.to,(error)) elif "Spamtag @" in msg.text: _name = msg.text.replace("Spamtag @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: xname = g.displayName xlen = str(len(xname)+1) msg.contentType = 0 msg.text = "@"+xname+" " msg.contentMetadata ={'MENTION':'{"MENTIONEES":[{"S":"0","E":'+json.dumps(xlen)+',"M":'+json.dumps(g.mid)+'}]}','EMTVER':'4'} cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) print "Spamtag Berhasil." #-------------------------------------------------- elif msg.text.lower() in ["wkwk","wkwkwk","ckck","ckckck"]: msg.contentType = 7 msg.contentMetadata={'STKID': '100', 'STKPKGID': '1', 'STKVER': '100' } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["hehehe","hehe"]: msg.contentType = 7 msg.contentMetadata={'STKID': '10', 'STKPKGID': '1', 'STKVER': '100' } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["galon","galo","galau"]: msg.contentType = 7 msg.contentMetadata={'STKID': '9', 'STKPKGID': '1', 'STKVER': '100' } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["you","kamu","km","u","qm"]: msg.contentType = 7 msg.contentMetadata={"STKID": "7", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["hadeuh","hadeh","hadech"]: msg.contentType = 7 msg.contentMetadata={"STKID": "6", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["please"]: msg.contentType = 7 msg.contentMetadata={"STKID": "4", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["haaa","hah","kaget","terkejut"]: msg.contentType = 7 msg.contentMetadata={"STKID": "3", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["lol","haha","hahaha","ngakak","lucu"]: msg.contentType = 7 msg.contentMetadata={"STKID": "110", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["hmmm","hmm"]: msg.contentType = 7 msg.contentMetadata={"STKID": "101", "STKPKGID": "1", "STKVER": "100" } msg.text = None cl.sendMessage(msg) #-------------------------------------------------- elif msg.text.lower() in ["come","ayo","kuy"]: msg.contentType = 7 msg.contentMetadata={"STKID": "247", "STKPKGID": "3", "STKVER": "100" } msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["marah","hadeuh","hadeh"]: msg.contentType = 7 msg.contentMetadata={'STKID': '6', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["tidur","turu","bobo","bubu","sleep","nite"]: msg.contentType = 7 msg.contentMetadata={'STKID': '1', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["gemes"]: msg.contentType = 7 msg.contentMetadata={'STKID': '2', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["cantik","imut"]: msg.contentType = 7 msg.contentMetadata={'STKID': '5', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["nyanyi","lalala"]: msg.contentType = 7 msg.contentMetadata={'STKID': '11', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["gugup"]: msg.contentType = 7 msg.contentMetadata={'STKID': '8', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["ok","oke","okay","oce","okee","sip","siph"]: msg.contentType = 7 msg.contentMetadata={'STKID': '13', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["mantab","mantap","nice","keren"]: msg.contentType = 7 msg.contentMetadata={'STKID': '14', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["ngejek"]: msg.contentType = 7 msg.contentMetadata={'STKID': '15', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["nangis","sedih"]: msg.contentType = 7 msg.contentMetadata={'STKID': '16', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["kampret"]: msg.contentType = 7 msg.contentMetadata={'STKID': '102', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() in ["huft"]: msg.contentType = 7 msg.contentMetadata={'STKID': '104', 'STKPKGID': '1', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) #--------------------------------------------------- elif "Id" == msg.text: if msg.from_ in admin or owner: cl.sendText(msg.to,msg.to) #-------------------------------------------------- elif msg.text in ["TL "]: if msg.from_ in admin or owner: tl_text = msg.text.replace("TL ","") cl.sendText(msg.to,"line://home/post?userMid="+mid+"&postId="+cl.new_post(tl_text)["result"]["post"]["postInfo"]["postId"]) #-------------------------------------------------- elif msg.text in ["Undang"]: if msg.from_ in admin or owner: wait["winvite"] = True cl.sendText(msg.to,"send contact") #-------------------------------------------------- elif msg.text in ["Mc "]: if msg.from_ in admin or owner: mmid = msg.text.replace("Mc ","") msg.contentType = 13 msg.contentMetadata = {"mid":mmid} cl.sendMessage(msg) #-------------------------------------------------- elif msg.text in ["Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¥Ââ 1�71¤7šÃ¥Å 1�71¤7 :Ã£â€šÂªÃ£Æ�1�7�Â�1�7�1�71¤7","Join on","Auto join:on","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¥ÂÆ’Ã¥Å�1�7�1�71¤7 Ã¯Â¼Å¡Ã©â€�1�7�â�1�7�1�71¤7 1�71¤7"]: if msg.from_ in admin or owner: if wait["autoJoin"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"already on") else: cl.sendText(msg.to,"done") else: wait["autoJoin"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"already on") else: cl.sendText(msg.to,"done") #-------------------------------------------------- elif msg.text in ["Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¥Ââ 1�71¤7šÃ¥Å 1�71¤7 :Ã£â€šÂªÃ£Æ�1�7�â�1�7�1�71¤7 1�71¤7","Join off","Auto join:off","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¥ÂÆ’Ã¥Å�1�7�1�71¤7 Ã¯Â¼Å¡Ã©â€�1�7�Å�1�7�1�71¤7"]: if msg.from_ in admin or owner: if wait["autoJoin"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"already off") else: cl.sendText(msg.to,"done") else: wait["autoJoin"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"already off") else: cl.sendText(msg.to,"done") #----------------------------------------------------# elif msg.text in ["Respontagbot on","Autoresponbot:on","Responbot on","Responbot:on"]: if msg.from_ in admin: wait["detectMention"] = True cl.sendText(msg.to,"Auto respon tag On") elif msg.text in ["Responbot2 on"]: if msg.from_ in admin: wait["detectMention"] = False wait["detectMention2"] = True wait["detectMention3"] = False wait["kickMention"] = False cl.sendText(msg.to,"Auto Respon2 Sudah Aktif") else: cl.sendText(msg.to,"Khusus Admin") elif msg.text in ["Responbot2 off"]: if msg.from_ in admin: wait["detectMention2"] = False cl.sendText(msg.to,"Auto Respon2 Sudah Off") else: cl.sendText(msg.to,"Khusus Admin") elif msg.text in ["Respontagbot off","Autoresponbot:off","Responbot off","Responbot:off"]: if msg.from_ in admin: wait["detectMention"] = False cl.sendText(msg.to,"Auto respon tag Off") #-------------------------------------------------- elif msg.text in ["Gcancel:"]: if msg.from_ in admin or owner: try: strnum = msg.text.replace("Gcancel:","") if strnum == "off": wait["autoCancel"]["on"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Invitation refused turned off\nTo turn on please specify the number of people and send") else: cl.sendText(msg.to,"Ã¥â€¦Â³Ã¤Âºâ�1�7�1�71¤7 Ã©â 1�71¤7šâ‚¬Ã¨Â¯Â·Ã¦â€¹â 1�71¤7™Ã§Â»ÂÃ£â�1�7�¬â€šÃ¨Â¦ÂÃ¦â 1�71¤7”Â¶Ã¥Â¼â�1�7�¬Ã¨Â¯Â·Ã¦Å�1�7�â€¡Ã¥Â®Å¡Ã¤ÂºÂºÃ¦â 1�71¤7¢Â°Ã¥Ââ 1�71¤7˜Ã©â‚¬Â1�7") else: num = int(strnum) wait["autoCancel"]["on"] = True if wait["lang"] == "JP": cl.sendText(msg.to,strnum + "The group of people and below decided to automatically refuse invitation") else: cl.sendText(msg.to,strnum + "Ã¤Â½Â¿Ã¤ÂºÂºÃ¤Â»Â¥Ã¤Â¸â€¹Ã§Å¡â�1�7�1�71¤7žÃ¥Â°ÂÃ§Â»â 1�71¤7žÃ§â 1�71¤7Â¨Ã¨â 1�71¤7¡ÂªÃ¥Å Â¨Ã©â 1�71¤7šâ‚¬Ã¨Â¯Â·Ã¦â€¹â 1�71¤7™Ã§Â»Â�1�7�1�71¤7") except: if wait["lang"] == "JP": cl.sendText(msg.to,"Value is wrong") else: cl.sendText(msg.to,"Bizarre ratings") #-------------------------------------------------- elif msg.text in ["Ã¥Â¼Â·Ã¥Ë†Â¶Ã¨â€¡ÂªÃ¥â 1�71¤7¹â 1�71¤7¢Ã©â‚¬â�1�7�¬Ã¥â�1�7�1�71¤7¡Â 1�71¤7:Ã£â€šÂªÃ£Æ�1�7�Â�1�7�1�71¤7","Leave on","Auto leave:on","Ã¥Â¼Â·Ã¥Ë†Â¶Ã¨â€¡ÂªÃ¥â 1�71¤7¹â 1�71¤7¢Ã©â‚¬â�1�7�¬Ã¥â�1�7�1�71¤7¡ÂºÃ¯Â¼Å¡Ã©â 1�71¤7“â�1�7�1�71¤7 1�71¤7"]: if msg.from_ in admin or owner: if wait["leaveRoom"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"already on") else: cl.sendText(msg.to,"done") else: wait["leaveRoom"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥Â¼â�1�7�¬Ã£â�1�7�¬â�1�7�1�71¤7 1�71¤7") #-------------------------------------------------- elif msg.text in ["Ã¥Â¼Â·Ã¥Ë†Â¶Ã¨â€¡ÂªÃ¥â 1�71¤7¹â 1�71¤7¢Ã©â‚¬â�1�7�¬Ã¥â�1�7�1�71¤7¡Â 1�71¤7:Ã£â€šÂªÃ£Æ�1�7�â�1�7�1�71¤7 1�71¤7","Leave off","Auto leave:off","Ã¥Â¼Â·Ã¥Ë†Â¶Ã¨â€¡ÂªÃ¥â 1�71¤7¹â 1�71¤7¢Ã©â‚¬â�1�7�¬Ã¥â�1�7�1�71¤7¡ÂºÃ¯Â¼Å¡Ã©â 1�71¤7”Å�1�7�1�71¤7"]: if msg.from_ in admin or owner: if wait["leaveRoom"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"already off") else: cl.sendText(msg.to,"done") else: wait["leaveRoom"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"already") #-------------------------------------------------- elif msg.text in ["Ã¥â€¦Â±Ã¦Å�1�7�â�1�7�1�71¤7 1�71¤7:Ã£â€šÂªÃ£Æ�1�7�Â�1�7�1�71¤7","Share on","Share on"]: if msg.from_ in admin or owner: if wait["timeline"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"already on") else: cl.sendText(msg.to,"done") else: wait["timeline"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥Â¼â�1�7�¬Ã£â�1�7�¬â�1�7�1�71¤7 1�71¤7") #-------------------------------------------------- elif msg.text in ["Ã¥â€¦Â±Ã¦Å�1�7�â�1�7�1�71¤7 1�71¤7:Ã£â€šÂªÃ£Æ�1�7�â�1�7�1�71¤7 1�71¤7","Share off","Share off"]: if msg.from_ in admin or owner: if wait["timeline"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"already off") else: cl.sendText(msg.to,"done") else: wait["timeline"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥â�1�7�1�71¤7¦Â³Ã¦â 1�71¤7“ÂÃ£â�1�7�¬â€ 1�71¤7") elif "Sider on" in msg.text: try: del cctv['point'][msg.to] del cctv['sidermem'][msg.to] del cctv['cyduk'][msg.to] except: pass cctv['point'][msg.to] = msg.id cctv['sidermem'][msg.to] = "" cctv['cyduk'][msg.to]=True wait["Sider"] = True cl.sendText(msg.to,"Siap On Cek Sider") elif "Sider off" in msg.text: if msg.to in cctv['point']: cctv['cyduk'][msg.to]=False wait["Sider"] = False cl.sendText(msg.to, "Cek Sider Off") else: cl.sendText(msg.to, "Heh Belom Di Set") #-------------------------------------------------- elif msg.text in ["Status bot"]: if msg.from_ in admin or owner: md = "" if wait["contact"] == True: md+="[􀜁􀇔Mask􏿿] CONTACT : [✅]\n" else: md+="[􀜁􀇔Mask􏿿] CONTACT : [❌]\n" if wait["autoJoin"] == True: md+="[􀜁􀇔Mask􏿿] AUTOJOIN : [✅]\n" else: md +="[􀜁􀇔Mask􏿿] AUTOJOIN : [❌]\n" if wait["leaveRoom"] == True: md+="[􀜁􀇔Mask􏿿] AUTOLEAVE : [✅]\n" else: md+="[􀜁􀇔􀜁􀇔Mask􏿿􏿿] AUTOLEAVE : [❌]\n" if wait["timeline"] == True: md+="[􀜁􀇔Mask􏿿] SHARE : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] SHARE : [❌]\n" if wait["autoAdd"] == True: md+="[􀜁􀇔Mask􏿿] AUTOADD : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] AUTOADD : [❌]\n" if wait["commentOn"] == True: md+="[􀜁􀇔Mask􏿿] COMMENT : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] COMMENT : [❌]\n" if wait["likeOn"] == True: md+="[􀜁􀇔Mask􏿿] AUTOLIKE : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] AUTOLIKE : [❌]\n" if wait["Wc"] == True: md+="[􀜁􀇔Mask􏿿] WELCOME : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] WELCOME : [❌]\n" if wait["Lv"] == True: md+="[􀜁􀇔Mask􏿿] LEAVE : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] LEAVE : [❌]\n" if wait["tag"] == True: md+="[􀜁􀇔Mask􏿿] TAG 1 : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] TAG 1 : [❌]\n" if wait["auto"] == True: md+="[􀜁􀇔Mask􏿿] AutoBot Join : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] AutoBot Join : [❌]\n" if wait["auto"] == True: md+="[􀜁􀇔Mask􏿿] Autoread On : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] Autoread Off : [❌]\n" if wait["auto"] == True: md+="[􀜁􀇔Mask􏿿] Auto Sider : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] Auto Sider : [❌]\n" if wait["auto"] == True: md+="[􀜁􀇔Mask􏿿] Simisimi On : [✅]\n" else:md+="[􀜁􀇔Mask􏿿] Simisimi Off : [❌]\n" if wait["detectMention"] == True: md+="[􀜁􀇔Mask􏿿] Respon on [✅]\n" else:md+="[􀜁􀇔Mask􏿿] Respon off [❌]\n" if wait["detectMention2"] == True: md+="[􀜁􀇔Mask􏿿] Respon on [✅]\n" else:md+="[􀜁􀇔Mask􏿿] Respon off [❌]\n" cl.sendText(msg.to,md) msg.contentType = 13 msg.contentMetadata = {'mid': "u3cfa63811888b3a880bc4f348a95b23b"} cl.sendMessage(msg) #-------------------------------------------------- elif "album merit " in msg.text: if msg.from_ in admin or owner: gid = msg.text.replace("album merit ","") album = cl.getAlbum(gid) if album["result"]["items"] == []: if wait["lang"] == "JP": cl.sendText(msg.to,"There is no album") else: cl.sendText(msg.to,"Ã§â€ºÂ¸Ã¥â�1�7�1�71¤7 Å’Ã¦Â²Â¡Ã¥Å�1�7�Â¨Ã£â�1�7�¬â€ 1�71¤7") else: if wait["lang"] == "JP": mg = "The following is the target album" else: mg = "Ã¤Â»Â¥Ã¤Â¸â€¹Ã¦ËœÂ¯Ã¥Â¯Â¹Ã¨Â±Â¡Ã§Å¡â�1�7�1�71¤7žÃ§â 1�71¤7ºÂ¸Ã¥â 1�71¤7 Å 1�71¤7" for y in album["result"]["items"]: if "photoCount" in y: mg += str(y["title"]) + ":" + str(y["photoCount"]) + "sheet\n" else: mg += str(y["title"]) + ":0sheet\n" cl.sendText(msg.to,mg) #-------------------------------------------------- elif "album " in msg.text: if msg.from_ in admin or owner: gid = msg.text.replace("album ","") album = cl.getAlbum(gid) if album["result"]["items"] == []: if wait["lang"] == "JP": cl.sendText(msg.to,"There is no album") else: cl.sendText(msg.to,"Ã§â€ºÂ¸Ã¥â�1�7�1�71¤7 Å’Ã¦Â²Â¡Ã¥Å�1�7�Â¨Ã£â�1�7�¬â€ 1�71¤7") else: if wait["lang"] == "JP": mg = "The following is the target album" else: mg = "Ã¤Â»Â¥Ã¤Â¸â€¹Ã¦ËœÂ¯Ã¥Â¯Â¹Ã¨Â±Â¡Ã§Å¡â�1�7�1�71¤7žÃ§â 1�71¤7ºÂ¸Ã¥â 1�71¤7 Å 1�71¤7" for y in album["result"]["items"]: if "photoCount" in y: mg += str(y["title"]) + ":" + str(y["photoCount"]) + "sheet\n" else: mg += str(y["title"]) + ":0sheet\n" #-------------------------------------------------- elif "album remove " in msg.text: if msg.from_ in admin or owner: gid = msg.text.replace("album remove ","") albums = cl.getAlbum(gid)["result"]["items"] i = 0 if albums != []: for album in albums: cl.deleteAlbum(gid,album["id"]) i += 1 if wait["lang"] == "JP": cl.sendText(msg.to,str(i) + "Deleted albums") else: cl.sendText(msg.to,str(i) + "Ã¥Ë 1�7 Ã©â„¢Â¤Ã¤Âºâ�1�7�1�71¤7 Ã¤Âºâ 1�71¤7¹Ã§Å¡â 1�71¤7žÃ§â 1�71¤7ºÂ¸Ã¥â 1�71¤7 Å’Ã£â�1�7�¬â€ 1�71¤7") elif msg.text in ["Group id","Ã§Â¾Â¤Ã§Âµâ€žÃ¥â�1�7�1�71¤7¦Â¨id"]: if msg.from_ in admin or owner: gid = cl.getGroupIdsJoined() h = "" for i in gid: h += "[%s]:%s\n" % (cl.getGroup(i).name,i) cl.sendText(msg.to,h) #-------------------------------------------------- elif msg.text in ["Clear"]: if msg.from_ in admin or owner: gid = cl.getGroupIdsInvited() for i in gid: cl.rejectGroupInvitation(i) if wait["lang"] == "JP": cl.sendText(msg.to,"All invitations have been refused") else: cl.sendText(msg.to,"Ã¦â€¹â�1�7�1�71¤7™Ã§Â»ÂÃ¤Âºâ�1�7�1�71¤7 Ã¥â 1�71¤7¦Â¨Ã©Æ’Â¨Ã§Å¡â�1�7�1�71¤7žÃ©â 1�71¤7šâ‚¬Ã¨Â¯Â·Ã£â�1�7�¬â�1�7�1�71¤7 1�71¤7") #-------------------------------------------------- elif "album removeÃ¢â€ â�1�7�1�71¤7 1�71¤7" in msg.text: if msg.from_ in admin or owner: gid = msg.text.replace("album removeÃ¢â€ â�1�7�1�71¤7 1�71¤7","") albums = cl.getAlbum(gid)["result"]["items"] i = 0 if albums != []: for album in albums: cl.deleteAlbum(gid,album["id"]) i += 1 if wait["lang"] == "JP": cl.sendText(msg.to,str(i) + "Albums deleted") else: cl.sendText(msg.to,str(i) + "Ã¥Ë 1�7 Ã©â„¢Â¤Ã¤Âºâ�1�7�1�71¤7 Ã¤Âºâ 1�71¤7¹Ã§Å¡â 1�71¤7žÃ§â 1�71¤7ºÂ¸Ã¥â 1�71¤7 Å’Ã£â�1�7�¬â€ 1�71¤7") #-------------------------------------------------- elif msg.text in ["Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¨Â¿Â½Ã¥Å 1�71¤7 :Ã£â€šÂªÃ£Æ�1�7�Â�1�7�1�71¤7","Add on","Auto add:on","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¨Â¿Â½Ã¥Å 1�71¤7 Ã¯Â¼Å¡Ã©â€�1�7�â�1�7�1�71¤7 1�71¤7"]: if msg.from_ in admin or owner: if wait["autoAdd"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"already on") else: cl.sendText(msg.to,"done") else: wait["autoAdd"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥Â¼â�1�7�¬Ã£â�1�7�¬â�1�7�1�71¤7 1�71¤7") #-------------------------------------------------- elif msg.text in ["Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¨Â¿Â½Ã¥Å 1�71¤7 :Ã£â€šÂªÃ£Æ�1�7�â�1�7�1�71¤7 1�71¤7","Add off","Auto add:off","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¨Â¿Â½Ã¥Å 1�71¤7 Ã¯Â¼Å¡Ã©â€�1�7�Å�1�7�1�71¤7"]: if msg.from_ in admin or owner: if wait["autoAdd"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"already off") else: cl.sendText(msg.to,"done") else: wait["autoAdd"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥â�1�7�1�71¤7¦Â³Ã¦â 1�71¤7“ÂÃ£â�1�7�¬â€ 1�71¤7") #-------------------------------------------------- elif "Message change: " in msg.text: if msg.from_ in admin or owner: wait["message"] = msg.text.replace("Message change: ","") cl.sendText(msg.to,"message changed") elif "Message add: " in msg.text: if msg.from_ in admin or owner: wait["message"] = msg.text.replace("Message add: ","") if wait["lang"] == "JP": cl.sendText(msg.to,"message changed") else: cl.sendText(msg.to,"doneÃ£â‚¬â�1�7�1�71¤7 1�71¤7") #-------------------------------------------------- elif msg.text in ["Message","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã¨Â¿Â½Ã¥Å 1�71¤7 Ã¥â€¢ÂÃ¥â�1�7�¬â�1�7�¢Ã¨ÂªÅ¾Ã§Â¢ÂºÃ¨ÂªÂ�1�7�1�71¤7"]: if msg.from_ in admin or owner: if wait["lang"] == "JP": cl.sendText(msg.to,"message change to\n\n" + wait["message"]) else: cl.sendText(msg.to,"The automatic appending information is set as followsÃ£â‚¬â�1�7�1�71¤7š\n\n" + wait["message"]) #-------------------------------------------------- elif "Comment:" in msg.text: if msg.from_ in admin or owner: c = msg.text.replace("Comment:","") if c in [""," ","\n",None]: cl.sendText(msg.to,"message changed") else: wait["comment"] = c cl.sendText(msg.to,"changed\n\n" + c) #-------------------------------------------------- elif "Add comment:" in msg.text: if msg.from_ in admin or owner: c = msg.text.replace("Add comment:","") if c in [""," ","\n",None]: cl.sendText(msg.to,"String that can not be changed") else: wait["comment"] = c cl.sendText(msg.to,"changed\n\n" + c) elif msg.text in ["Ã£â€šÂ³Ã£Æ�1�7�Â¡Ã£Æ�1�7�Â³Ã£Æ�1�7�Ë�1�7�1�71¤7:Ã£â€šÂªÃ£Æ�1�7�Â�1�7�1�71¤7","Comment on","Comment:on","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã©Â¦â 1�71¤7“Ã�1�7�1�71¤7 ÂÃ§â€¢â�1�7�¢Ã¨Â¨â�1�7�¬Ã¯Â¼Å¡Ã©â�1�7�1�71¤7“â�1�7�1�71¤7 1�71¤7"]: if msg.from_ in admin or owner: if wait["commentOn"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"already on") else: wait["commentOn"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥Â¼â�1�7�¬Ã£â�1�7�¬â�1�7�1�71¤7 1�71¤7") elif msg.text in ["Ã£â€šÂ³Ã£Æ�1�7�Â¡Ã£Æ�1�7�Â³Ã£Æ�1�7�Ë�1�7�1�71¤7:Ã£â€šÂªÃ£Æ�1�7�â�1�7�1�71¤7 1�71¤7","Comment on","Comment off","Ã¨â€¡ÂªÃ¥â�1�7�1�71¤7¹â 1�71¤7¢Ã©Â¦â 1�71¤7“Ã�1�7�1�71¤7 ÂÃ§â€¢â�1�7�¢Ã¨Â¨â�1�7�¬Ã¯Â¼Å¡Ã©â�1�7�1�71¤7”Å�1�7�1�71¤7"]: if msg.from_ in admin or owner: if wait["commentOn"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"already off") else: wait["commentOn"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"done") else: cl.sendText(msg.to,"Ã¨Â¦ÂÃ¤Âºâ€ Ã¥â�1�7�1�71¤7¦Â³Ã¦â 1�71¤7“ÂÃ£â�1�7�¬â€ 1�71¤7") elif msg.text in ["Comment","Ã§â€¢â�1�7�¢Ã¨Â¨â�1�7�¬Ã§Â¢ÂºÃ¨ÂªÂ�1�7�1�71¤7"]: if msg.from_ in admin or owner: cl.sendText(msg.to,"message changed to\n\n" + str(wait["comment"])) #--------------------------------------------------------------------------------------------------------------------- elif msg.text in ["Gurl"]: if msg.from_ in admin or owner: if msg.toType == 2: x = cl.getGroup(msg.to) if x.preventJoinByTicket == True: x.preventJoinByTicket = False cl.updateGroup(x) gurl = cl.reissueGroupTicket(msg.to) cl.sendText(msg.to,"line://ti/g/" + gurl) else: if wait["lang"] == "JP": cl.sendText(msg.to,"Can't be used outside the group") else: cl.sendText(msg.to,"Not for use less than group") #-------------------------------------------------------------------------------------------------------------------- elif msg.text in ["Comment bl "]: if msg.from_ in admin or owner: wait["wblack"] = True cl.sendText(msg.to,"add to comment bl") elif msg.text in ["Comment wl "]: if msg.from_ in admin or owner: wait["dblack"] = True cl.sendText(msg.to,"wl to comment bl") elif msg.text in ["Comment bl confirm"]: if msg.from_ in admin or owner: if wait["commentBlack"] == {}: cl.sendText(msg.to,"confirmed") else: cl.sendText(msg.to,"Blacklist") mc = "" for mi_d in wait["commentBlack"]: mc += "" +cl.getContact(mi_d).displayName + "\n" cl.sendText(msg.to,mc) elif msg.text in ["Jam on"]: if msg.from_ in admin or owner: if wait["clock"] == True: cl.sendText(msg.to,"already on") else: wait["clock"] = True now2 = datetime.now() nowT = datetime.strftime(now2,"(%H:%M)") profile = cl.getProfile() profile.displayName = wait["cName"] + nowT cl.updateProfile(profile) cl.sendText(msg.to,"done") elif msg.text in ["Jam off"]: if msg.from_ in admin or owner: if wait["clock"] == False: cl.sendText(msg.to,"already off") else: wait["clock"] = False cl.sendText(msg.to,"done") elif msg.text in ["Change clock "]: if msg.from_ in admin or owner: n = msg.text.replace("Change clock ","") if len(n.decode("utf-8")) > 13: cl.sendText(msg.to,"changed") else: wait["cName"] = n cl.sendText(msg.to,"changed to\n\n" + n) #----------------------------------------------- elif msg.text.lower() in ["mentionall","tagall"]: group = cl.getGroup(msg.to) nama = [contact.mid for contact in group.members] nm1, nm2, nm3, nm4, nm5, jml = [], [], [], [], [], len(nama) if jml <= 100: tagall(msg.to, nama) if jml > 100 and jml < 500: for i in range(0,99): nm1 += [nama[i]] tagall(msg.to, nm1) for j in range(100, len(nama)-1): nm2 += [nama[j]] tagall(msg.to, nm2) for k in range(200, len(nama)-1): nm3 += [nama[k]] tagall(msg.to, nm3) for l in range(300, len(nama)-1): nm4 += [nama[l]] tagall(msg.to, nm4) for m in range(400, len(nama)-1): nm5 += [nama[m]] tagall(msg.to, nm5) cnt = Message() cnt.text = "Results mention all : "+str(jml) + " Members" cnt.to = msg.to cl.sendText(msg.to,"Mention all success") cl.sendMessage(cnt) if jml > 500: cnt = Message() cnt.text = "" cnt.to = msg.to cl.sendMessage(cnt) #----------------------------------------------- elif msg.text in ["Bot pergi"]: if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: cl.sendText(msg.to,"Sɪᴀᴘ ʙᴏᴢᴢ!! Lasanakan!!\n\nBʏᴇ,, Bʏᴇᴇ... " + str(ginfo.name) + "\nJᴀɴɢᴀɴ Lᴜᴘᴀ Bᴀʜᴀɢɪᴀ...") cl.leaveGroup(msg.to) print "[Command]Bot pergi" except: pass #----------------------------------------------- elif "Gruplist" in msg.text: if msg.from_ in owner: gid = cl.getGroupIdsJoined() h = "" for i in gid: h += "☄ %s \n" % (cl.getGroup(i).name + " 👥 ▄ [ " + str(len (cl.getGroup(i).members))+" ]") cl.sendText(msg.to, " ☄ [ ♡List Grup♄ ] ☜\n"+ h +"Total Group ▄" +"[ "+str(len(gid))+" ]") #-----------------------------SALAM or SELAMAT-------------------------------------- elif msg.text in ["Pagi","Pagi all","Pagi semua","Pageeh","Vagi","Vageeh"]: cl.sendText(msg.to,"Pagi kak...") cl.sendText(msg.to,"Buruan mandi gih,, bau jigong tuh") cl.sendText(msg.to,"Wkwkwk") cl.sendText(msg.to,"Dan buruan sarapan 😁") elif msg.text in ["Assalamu alaikum","Salamu alaikum","Assalamu ‘alaikum"]: cl.sendText(msg.to,"وَعَلَيْكُمُ السَّلاَمُ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ") cl.sendText(msg.to,"Wa'alaikumsallam.Wr,Wb") #----------------------------------------------- elif msg.text == "Set sider": cl.sendText(msg.to, "Lurking Is Starting!! "+ datetime.today().strftime('%H:%M:%S')) try: del wait2['readPoint'][msg.to] del wait2['readMember'][msg.to] except: pass now2 = datetime.now() wait2['readPoint'][msg.to] = msg.id wait2['readMember'][msg.to] = "" wait2['ROM'][msg.to] = {} wait2['setTime'][msg.to] = datetime.today().strftime('%Y-%m-%d %H:%M:%S') print wait2 elif msg.text in ["Cek sider"]: if msg.toType == 2: print "\nRead aktif..." if msg.to in wait2['readPoint']: if wait2["ROM"][msg.to].items() == []: chiya = "" else: chiya = "" for rom in wait2["ROM"][msg.to].items(): print rom chiya += rom[1] + "\n" cl.sendText(msg.to, "Yang baca ↴\n =========================== %s\n===========================\n\nTukang nyimak ↴\n%s\n===========================\nIn the last seen point:\n[%s]\n===========================" % (wait2['readMember'][msg.to],chiya,setTime[msg.to])) print "\nReading Point Set..." try: del wait2['readPoint'][msg.to] del wait2['readMember'][msg.to] except: pass wait2['readPoint'][msg.to] = msg.id wait2['readMember'][msg.to] = "" wait2['setTime'][msg.to] = datetime.today().strftime('%Y-%m-%d %H:%M:%S') wait2['ROM'][msg.to] = {} print "lukers" cl.sendText(msg.to, "Auto Read Point!!" + (wait2['setTime'][msg.to])) else: cl.sendText(msg.to, "Ketik [Set sider] dulu") #------------------------------------- elif "Bot rename " in msg.text: if msg.from_ in admin or owner: string = msg.text.replace("Bot rename ","") if len(string.decode('utf-8')) <= 500: profile = cl.getProfile() profile.displayName = string cl.updateProfile(profile) cl.sendText(msg.to,"UpdateName => " + string + " <= Success") #----------------------------------------------- elif msg.text in ['kontol','Kontol','jancuk','Jancuk','jancok','Jancok','asu','Asu','jembut','Jembut','jembot','Jembot','tempek','Tempek','itil','Itil','makmu','Makmu','mak mu','Mak mu']: msg.contentType = 13 msg.contentMetadata = {'mid': "ua7fb5762d5066629323d113e1266e8ca',"} cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) #----------------------------------------------- elif msg.text in ["Lag"]: if msg.from_ in admin: cl.sendText(msg.to,"44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.55.44.44.44.44.44.44.44.4444.44.44.4.44.4.44.44.4.440.440.004444.4444.44.33.") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Pekok 􀜁􀅔Har Har􏿿") elif msg.text in ["Sepi"]: cl.sendText(msg.to,"Mᴇɴᴛɪᴏɴᴀʟʟ Oʀ Tᴀɢᴀʟʟ") elif msg.text in ["Mister","Mr"]: cl.sendText(msg.to,"Sɪᴀᴘ ʙᴏᴢᴢ") elif msg.text in ["Test","test","Tes","tes"]: cl.sendText(msg.to,"Cᴇᴋ") cl.sendText(msg.to,"1") cl.sendText(msg.to,"2") cl.sendText(msg.to,"3") cl.sendText(msg.to,"Pᴏꜱɪᴛɪғ ʙᴏᴢᴢ") cl.sendText(msg.to,"Sᴇʟᴀᴍᴀᴛ ʏᴀ... 􀜁􀅔haha􏿿") elif msg.text in ["Woy","woy","Woi","woi","bot","Bot"]: jawab = ['Aʜ Kᴜᴘʀᴇᴛ Lᴜ','Mᴜᴋᴀ Lᴜ Kᴀʏᴀ Jᴀᴍʙᴀɴ','Aᴅᴀ Oʀᴀɴɢ ᴋᴀʜ ᴅɪꜱɪɴɪ?','Sᴀɴɢᴇ Eᴜʏ','Aᴅᴀ Pᴇʀᴀᴡᴀɴ Nɢᴀɴɢɢᴜʀ ɢᴀ Cᴏʏ?'] jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) #-------------Fungsi Spam Start---------------------# elif msg.text in ["Up","up","Up Chat","Up chat","up chat","Upchat","upchat"]: if msg.from_ in admin: cl.sendText(msg.to,"Kita nge-spam kuy!") cl.sendText(msg.to,"Kuy 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Kuy 􀜁􀅔haha􏿿") cl.sendText(msg.to,"3") cl.sendText(msg.to,"2") cl.sendText(msg.to,"1") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Kurang ga? 􀜁􀅔XD􏿿") cl.sendText(msg.to,"KURAAAANG BANYAAK") cl.sendText(msg.to,"Kurang Mastaah") cl.sendText(msg.to,"Ok!") cl.sendText(msg.to,"Tambah ya! 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔haha􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Up 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Udh cukup?") cl.sendText(msg.to,"Udh cukup 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Cape nih") cl.sendText(msg.to,"Ok sudah.") cl.sendText(msg.to,"MAKASIH SEMUA 􀜁􀅔XD􏿿") cl.sendText(msg.to,"Done") elif msg.text in ["Up up","up up"]: if msg.from_ in admin: cl.sendText(msg.to,"Ha? ada apa nih") cl.sendText(msg.to,"Di up in bos") cl.sendText(msg.to,"Butuh balon udara nggak?") cl.sendText(msg.to,"Buat di up in nih") cl.sendText(msg.to,"Gausah lah ya") cl.sendText(msg.to,"Up atuh") cl.sendText(msg.to,"Panjat bos") cl.sendText(msg.to,"Jangan panjat sosyal aja") cl.sendText(msg.to,"Panjat panjat pohon") cl.sendText(msg.to,"yiha") cl.sendText(msg.to,"Pohon aja di panjat") cl.sendText(msg.to,"Apalagi kamu.gg unch") cl.sendText(msg.to,"Maaf, harus kita up in") cl.sendText(msg.to,"Demi kebaikan bersama sayang") cl.sendText(msg.to,"Iya sayang") cl.sendText(msg.to,"Opo koe krungu?") cl.sendText(msg.to,"Jerite atiku") cl.sendText(msg.to,"Oaoee..") cl.sendText(msg.to,"Males lanjutin ah") cl.sendText(msg.to,"Sepi bat") cl.sendText(msg.to,"Iya sepi udah udah") cl.sendText(msg.to,"Gaada yang denger juga") cl.sendText(msg.to,"Yaiyalah, ini kan ketik ogeb") cl.sendText(msg.to,"Mending gua nyari BBG dulu") cl.sendText(msg.to,"Sono huss") cl.sendText(msg.to,"Up unch") cl.sendText(msg.to,"Up in dulu bos") cl.sendText(msg.to,"Ada apa nih") cl.sendText(msg.to,"Up atuh") cl.sendText(msg.to,"Maaf di up bos") elif msg.text in ["Spam"]: if msg.from_ in admin: cl.sendText(msg.to,"Aku belum mandi") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Tapi masih cantik juga") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"apalagi kalau sudah mandi") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Pasti cantik sekali") cl.sendText(msg.to,"yiha") cl.sendText(msg.to,"Kalau orang lain melihatku") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Badak aku taba bana") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Tak tuntuang") cl.sendText(msg.to,"Tapi kalau langsuang diidu") cl.sendText(msg.to,"Tak tun tuang") cl.sendText(msg.to,"Atagfirullah baunya") cl.sendText(msg.to,"Males lanjutin ah") cl.sendText(msg.to,"Sepi bat") cl.sendText(msg.to,"Iya sepi udah udah") cl.sendText(msg.to,"Gaada yang denger juga kita nyanyi") cl.sendText(msg.to,"Nah") cl.sendText(msg.to,"Mending gua makan dulu") cl.sendText(msg.to,"Siyap") cl.sendText(msg.to,"Okeh") cl.sendText(msg.to,"Katanya owner kita Jomblo ya") cl.sendText(msg.to,"Iya emang") cl.sendText(msg.to,"Denger denger si lagi nyari pacar doi") cl.sendText(msg.to,"Udah ah gosip mulu doain aja biar dapet") elif msg.text == "Myspam": if msg.from_ in admin: cl.sendText(msg.to,"3") cl.sendText(msg.to,"2") cl.sendText(msg.to,"1") cl.sendText(msg.to,"Fuck Off") cl.sendText(msg.to,"Ku mengejar bus yang mulai berjalan") cl.sendText(msg.to,"Ku ingin ungkapkan kepada dirimu") cl.sendText(msg.to,"Kabut dalam hatiku telah menghilang") cl.sendText(msg.to,"Dan hal yang penting bagiku pun terlihat") cl.sendText(msg.to,"Walaupun jawaban itu sebenarnya begitu mudah") cl.sendText(msg.to,"Tetapi entah mengapa diriku melewatkannya") cl.sendText(msg.to,"Untukku menjadi diri sendiri") cl.sendText(msg.to,"Ku harus jujur, pada perasaanku") cl.sendText(msg.to,"Ku suka dirimu ku suka") cl.sendText(msg.to,"Ku berlari sekuat tenaga") cl.sendText(msg.to,"Ku suka selalu ku suka") cl.sendText(msg.to,"Ku teriak sebisa suaraku") cl.sendText(msg.to,"Ku suka dirimu ku suka") cl.sendText(msg.to,"Walau susah untukku bernapas") cl.sendText(msg.to,"Tak akan ku sembunyikan") cl.sendText(msg.to,"Oogoe daiyamondo~") cl.sendText(msg.to,"Saat ku sadari sesuatu menghilang") cl.sendText(msg.to,"Hati ini pun resah tidak tertahankan") cl.sendText(msg.to,"Sekarang juga yang bisa ku lakukan") cl.sendText(msg.to,"Merubah perasaan ke dalam kata kata") cl.sendText(msg.to,"Mengapa sedari tadi") cl.sendText(msg.to,"Aku hanya menatap langit") cl.sendText(msg.to,"Mataku berkaca kaca") cl.sendText(msg.to,"Berlinang tak bisa berhenti") cl.sendText(msg.to,"Di tempat kita tinggal, didunia ini") cl.sendText(msg.to,"Dipenuhi cinta, kepada seseorang") cl.sendText(msg.to,"Ku yakin ooo ku yakin") cl.sendText(msg.to,"Janji tak lepas dirimu lagi") cl.sendText(msg.to,"Ku yakin ooo ku yakin") cl.sendText(msg.to,"Akhirnya kita bisa bertemu") cl.sendText(msg.to,"Ku yakin ooo ku yakin") cl.sendText(msg.to,"Ku akan bahagiakan dirimu") cl.sendText(msg.to,"Ku ingin kau mendengarkan") cl.sendText(msg.to,"Oogoe daiyamondo~") cl.sendText(msg.to,"Jika jika kamu ragu") cl.sendText(msg.to,"Takkan bisa memulai apapun") cl.sendText(msg.to,"Ungkapkan perasaanmu") cl.sendText(msg.to,"Jujurlah dari sekarang juga") cl.sendText(msg.to,"Jika kau bersuar") cl.sendText(msg.to,"Cahaya kan bersinar") cl.sendText(msg.to,"Ku suka dirimu ku suka") cl.sendText(msg.to,"Ku berlari sekuat tenaga") cl.sendText(msg.to,"Ku suka selalu ku suka") cl.sendText(msg.to,"Ku teriak sebisa suaraku") cl.sendText(msg.to,"Ku suka dirimu ku suka") cl.sendText(msg.to,"Sampaikan rasa sayangku ini") cl.sendText(msg.to,"Ku suka selalu ku suka") cl.sendText(msg.to,"Ku teriakkan ditengah angin") cl.sendText(msg.to,"Ku suka dirimu ku suka") cl.sendText(msg.to,"Walau susah untuk ku bernapas") cl.sendText(msg.to,"Tak akan ku sembunyikan") cl.sendText(msg.to,"Oogoe daiyamondo~") cl.sendText(msg.to,"Katakan dengan berani") cl.sendText(msg.to,"Jika kau diam kan tetap sama") cl.sendText(msg.to,"Janganlah kau merasa malu") cl.sendText(msg.to,"“Suka” itu kata paling hebat!") cl.sendText(msg.to,"“Suka” itu kata paling hebat!") cl.sendText(msg.to,"“Suka” itu kata paling hebat!") cl.sendText(msg.to,"Ungkapkan perasaanmu") cl.sendText(msg.to,"Jujurlah dari sekarang juga..") cl.sendText(msg.to,"Anugerah terindah adalah ketika kita masih diberikan waktu untuk berkumpul bersama orang-orang yang kita sayangi.") cl.sendText(msg.to,"Cuma dirimu seorang yang bisa meluluhkan hati ini. Kamulah yang terindah dalam hidupku.") cl.sendText(msg.to,"Aku ingin meraih kembali cintamu menjadi kenyataan. Saat diriku dalam siksaan cinta, dirimu melenggang pergi tanpa pernah memikirkan aku.") cl.sendText(msg.to,"Tak ada yang salah dengan CINTA. Karena ia hanyalah sebuah kata dan kita sendirilah yang memaknainya.") cl.sendText(msg.to,"Mencintaimu adalah inginku. memilikimu adalah dambaku. meski jarak jadi pemisah, hati tak akan bisa terpisah.") cl.sendText(msg.to,"Dalam cinta ada bahagia, canda, tawa, sedih, kecewa, terluka, semua itu tidak akan terlupakan dalam hal cinta, itu yang artinya cinta.") cl.sendText(msg.to,"Seseorang yang berarti, tak akan dengan mudah kamu miliki. Jika kamu sungguh mencintai, jangan pernah berhenti berusaha untuk hati.") cl.sendText(msg.to,"Jika esok pagi menjelang, akan aku tantang matahari yang terbangun dari tidur lelap nya.") cl.sendText(msg.to,"Ketulusan cinta hanya dapat dirasakan mereka yang benar-benar mempunyai hati tulus dalam cinta.") cl.sendText(msg.to,"Kamu tak perlu menjadikan dirimu cantik/ganteng untuk bisa memilikiku, kamu hanya perlu menunjukkan bahwa aku membutuhkanmu.") cl.sendText(msg.to,"Ada seribu hal yang bisa membuatku berpikir ununtuk meninggalkanmu, namun ada satu kata yang membuatku tetap disini. Aku Cinta Kamu.") cl.sendText(msg.to,"Aku pernah jatuhkan setetes air mata di selat Sunda. Di hari aku bisa menemukannya lagi, itulah waktunya aku berhenti mencintaimu.") cl.sendText(msg.to,"Cinta adalah caraku bercerita tentang dirimu, caraku menatap kepergian mu dan caraku tersenyum, saat menatap indah wajahmu.") cl.sendText(msg.to,"Datang dan pergi seperti angin tidak beraturan dan arah merasakan cinta dalam kehidupan kadang ku bahagia kadang ku bersedih.") cl.sendText(msg.to,"Cinta adalah caraku bercerita tentang dirimu, caraku menatap kepergian mu dan caraku tersenyum, saat menatap indah wajahmu.") cl.sendText(msg.to,"Saat jarak memisahkan, satu yang harus kamu ketahui. Akan aku jaga cinta ini ununtukmu.") cl.sendText(msg.to,"Bersandarlah di pundaku sampai kau merasakan kenyamanan, karena sudah keharusan bagiku ununtuk memberikanmu rasa nyaman.") cl.sendText(msg.to,"Air mata merupakan satu-satunya cara bagimana mata berbicara ketika bibir tidak mampu menjelaskan apa yang membuatmu terluka.") cl.sendText(msg.to,"Hidup tidak bisa lebih baik tanpa ada cinta, tapi cinta dengan cara yang salah akan membuat hidupmu lebih buruk.") cl.sendText(msg.to,"Mencintaimu hanya butuh waktu beberapa detik, namun untuk melupakanmu butuh waktu seumur hidupku.") cl.sendText(msg.to,"Hidup tidak bisa lebih baik tanpa ada cinta, tapi cinta dengan cara yang salah akan membuat hidupmu lebih buruk.") cl.sendText(msg.to,"Mencintaimu hanya butuh waktu beberapa detik, namun ununtuk melupakanmu butuh waktu seumur hidupku.") cl.sendText(msg.to,"Cinta merupakan keteguhan hati yang ditambatkan pada kemanusiaan yang menghubungkan masa lalu, masa kini dan masa depan.") cl.sendText(msg.to,"Ketika mencintai seseorang, cintailah apa adanya. Jangan berharap dia yang sempurna, karena kesempurnaan adalah ketika mencinta tanpa syarat.") cl.sendText(msg.to,"Cinta bukanlah tentang berapa lama kamu mengenal seseorang, tapi tentang seseorang yang membuatmu tersenyum sejak kamu mengenalnya.") cl.sendText(msg.to,"Ketika mereka bertanya tentang kelemahanku, aku ingin mengatidakan bahwa kelemahanku itul adalah kamu. Aku merindukanmu di mana-mana dan aku sanagat mencintaimu.") cl.sendText(msg.to,"Kehadiranmu dalam hidupku, aku tahu bahwa aku bisa menghadapi setiap tantangan yang ada di hadapanku, terima kasih telah menjadi kekuatanku.") cl.sendText(msg.to,"Meneriakkan namamu di deras hujan, memandangmu dari kejauhan, dan berdo’a di hening malam. Cinta dalam diam ini lah yang mampu kupertahankan.") cl.sendText(msg.to,"Perempuan selalu menjaga hati orang yang dia sayangsehingga hati dia sendiri tersiksa. inilah pengorbanan perempuan ununtuk lelaki yang tidak pernah sadar.") cl.sendText(msg.to,"Ketika kau belum bisa mengambil keputusan ununtuk tetap bertahan dengan perasaan itu, sabarlah, cinta yang akan menguatkanmu.") cl.sendText(msg.to,"Aku tidak akan pernah menjajikan ununtuk sebuah perasaan, tapi aku bisa menjanjikan ununtuk sebuah kesetiaan.") cl.sendText(msg.to,"Cinta yang sebenarnya tidak buta, cinta yaitu adalah hal yang murni, luhur serta diharapkan. Yang buta itu jika cinta itu menguasai dirimu tanpa adanya suatu pertimbangan.") cl.sendText(msg.to,"Aku tercipta dalam waktu, ununtuk mengisi waktu, selalu memperbaiki diri di setiap waktu, dan semua waktu ku adalah ununtuk mencintai kamu.") cl.sendText(msg.to,"Cinta akan indah jika berpondasikan dengan kasih sang pencipta. Karena sesungguhnya Cinta berasal dari-Nya Dan cinta yang paling utama adalah cinta kepada Yang Kuasa.") cl.sendText(msg.to,"Bagi aku, dalam hidup ini, hidup hanya sekali, cinta sekali dan matipun juga sekali. Maka tidak ada yang namanya mendua.") cl.sendText(msg.to,"Tuhan..jagalah ia yang jauh disana, lindungi tiap detik hidup yang ia lewati,sayangi dia melebihi engkau menyayangiku.") cl.sendText(msg.to,"Kapan kau akan berhenti menyakitiku, lelah ku hadapi semua ini tapi aku tidak bisa memungkiri aku sangat mencintaimu.") cl.sendText(msg.to,"Ketidakutan terbesar dalam hidupku bukan kehilanganmu, tapi melihat dirimu kehilangan kebahagiaanmu.") cl.sendText(msg.to,"Cinta yang sesungguhnya akan mengatidakan aku butuh kamu karna aku siap ununtuk mencintaimu dan menjalani suka duka bersamamu") cl.sendText(msg.to,"Seseorang pacar yang baik adalah dia yang JUJUR dan tidak pernah membuat kamu selalu bertanya-tanya atau selalu mencurigai dia") cl.sendText(msg.to,"Cinta bukanlah sebuah kata cinta, yang sebenarnya adalah cinta yang menyentuh hati dan perasaan") cl.sendText(msg.to,"Kau datang di saat ke egoisan akan cinta tengah mendera. Membawa cahaya dan kedamaian, membuatku tidak mudah menyerah ununtuk merengkuh kisah cinta bersamamu") cl.sendText(msg.to,"Aku sangat menyukai kebersamaan karena kebersamaan mengajarkan kita tentang suka dan duka di lalui bersama") cl.sendText(msg.to,"Mungkin Tuhan sengaja memberi kita berjumpa dengan orang yang salah sebelum menemui insan yang betul supaya apabila kita akhirnya menemui insan yang betul, kita akan tahu bagaimana ununtuk bersyukur dengan pemberian dan hikmah di balik pemberian tersebut.") cl.sendText(msg.to,"Getaran di hatiku yang lama haus akan belaianmu seperti saat dulu dan kau bisikan kata ‘aku cinta padamu’ aku merindukannya") cl.sendText(msg.to,"Terkadang air mata adalah tanda kebahagiaan yang tidak terucapkan. Dan senyuman adalah tanda sakit yang mencoba ununtuk kuat") cl.sendText(msg.to,"Dicintai dan disayangi kamu adalah anugerah terindah yang tuhan berikan padaku.") cl.sendText(msg.to,"Mencintai kamu butuh waktu beberapa detik, Namun melupakanmu butuh waktu ku seumur hidup.") cl.sendText(msg.to,"Datang dan pergi seperti angin tidak beraturan dan arah merasakan cinta dalam kehidupan kadang aku bahagia dan juga kadang aku bersedih.") cl.sendText(msg.to,"Air mata merupakan satu-satunya cara bagimana mata berbicara ketika bibir tidak mampu lagi menjelaskan apa yang membuatmu terluka.") cl.sendText(msg.to,"Jauh sebelum bertemu denganmu, aku telah mengenalmu dalam doaku.") cl.sendText(msg.to,"Mungkin dia tidak sadar bahwa aku itu cemburu dan mungkin juga dia tidak merasa bahwa aku sangat terluka, tidak mendengar bahwa hatiku sedang menangis.") cl.sendText(msg.to,"Kehadirmu membawa cinta, memberi bahagia, dan juga rasa rindu yang tiada pernah ada akhirnya.") cl.sendText(msg.to,"Aku nngak mau jadi wakil rakyat, aku maunya jadi wali murid yang ngambil raport anak kita besok.") cl.sendText(msg.to,"Seperti hujan yang turun di tanah yang tandus, seperti itulah arti hadirmu dengan cinta dan kasih sayang untukku.") cl.sendText(msg.to,"Tanda-tanda cinta adalah ketika anda merasa bahwa kebahagiaan orang tersebut lebih penting daripada kebahagiaanmu sendiri.") cl.sendText(msg.to,"Cinta tidak hanya apa yang anda rasakan, tetapi apa yang harus anda lakukan.") cl.sendText(msg.to,"Cinta adalah sebuah kekuatan untuk melihat kesamaan dan tidak kesamaan.") cl.sendText(msg.to,"Cinta adalah pengalaman penuh emosi yang dirasakan banyak orang tetapi hanya beberapa orang saja yang bisa menikmatinya.") cl.sendText(msg.to,"Cinta adalah berbagi. Karena walau ada di dua raga yang berbeda, setiap pasangan hanya memiliki satu hati.") cl.sendText(msg.to,"Saat kita berjauhan, sebenarnya hanya raga kitalah yang jauh. Namun hati kita selalu dekat, karena hatiku ada di hatimu.") cl.sendText(msg.to,"Cinta datang dengan pengorbanan yang akan memberikan petunjuk siapa diri kita yang sebenarnya.") cl.sendText(msg.to,"Cinta begitu lembut dan merdu, namun jangan kau gunankan untuk merayu. Karena rayuan hanyalah akan mengosongkan makna kecintaan yang sesungguhnya.") cl.sendText(msg.to,"Cinta bukanlah penuntutan, penguasaan, pemaksaan, dan pengintimidasian. Tak lain itu hanyalah cara manusia mendefinisikannya. Karena cinta adalah perjuangan, pengorbanan, tanggungjawab, kejujuran, dan keikhlasan.") cl.sendText(msg.to,"Derajat cinta hanya bisa diukur dengan seberapa besar “Pemberian” yang kita korbankan.") elif msg.text in ["Ngantuk","Sleep","Nite","Good night"]: cl.sendText(msg.to,"Have a nice dream 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Have a nice dream 􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"Have a nice dream 􀜁􀅔Har Har􏿿") elif msg.text in ["Pekok","Pea","Dudul"]: cl.sendText(msg.to,"􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"􀜁􀅔Har Har􏿿") elif msg.text in ["PING","Ping","ping"]: cl.sendText(msg.to,"PONG 􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"PONG 􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"PONG 􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") elif msg.text in ["Bot resek ae coeg","Berisik","Rame ae","Rame wae","Sepi bet","Sepi banget","Sepi Bgt"]: cl.sendText(msg.to,"Kasian dy jones 􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") cl.sendText(msg.to,"􀨁􀄻double thumbs up􏿿􀜁􀅔Har Har􏿿") elif "Pap creator" in msg.text: tanya = msg.text.replace("Pap creator","") link = ["http://dl.profile.line-cdn.net/0hMJ3w03iOEmUODj51FXRtMjJLHAh5IAMtYGhbUHsOSAclNlYxMW4NAnxaSgEmOAUxZThaCikPRFVz","http://dl.profile.line-cdn.net/0hMJ3w9GpxEmUODj6JvWxtMjJLHAh5IAMtYGhbUHsOSAclNlYxMW4NAnxaSgEmOAUxZThaCikPRFVz","http://dl.profile.line-cdn.net/0hMJ3wzUdrEmUODj6JveNtMjJLHAh5IAMtYGhbUHsOSAclNlYxMW4NAnxaSgEmOAUxZThaCikPRFVz","http://dl.profile.line-cdn.net/0hMJ3w5Xh8EmUODj6JvY9tMjJLHAh5IAMtYGhbUHsOSAclNlYxMW4NAnxaSgEmOAUxZThaCikPRFVz"] pilih = random.choice(link) cl.sendImageWithURL(msg.to,pilih) #---------------------- elif "Pap cecan" in msg.text: tanya = msg.text.replace("Pap cecan","") jawab = ("https://i.pinimg.com/736x/fa/b0/de/fab0def5ba3108d51ba40747791bb089.jpg","https://i.pinimg.com/736x/8b/c6/0e/8bc60e8fd6fb5d142a074b6d2cf5c7ed.jpg","https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcQAa0KQ8XfoVfKRh82Ys63AX3VcuPml1JJFLk7iTEtMpmd7OzbN-yk_MGK6","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRPMwr1Igswf8wgrTURHbGAt9jn54SvimA6Ps6W6lCtItkrh4I-kA","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRg5SRVDjILsjUyBeLkBnbV96kX22_1mplLyjfCKws6nv8E_VtMDyV07e56bw","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTOXZ4yFF8R8vPVmEl21Txhvzh4YpUJkJ2uuO3KQLUzYIEVsuT9") jawaban = random.choice(jawab) cl.sendImageWithURL(msg.to,jawaban) #----------------------------------------------- #---------------------- elif "Pap cogan" in msg.text: tanya = msg.text.replace("Pap cogan","") jawab = ("https://i.pinimg.com/736x/41/9b/a5/419ba5606edf61dbab6dfdcc8014624d.jpg","https://i.pinimg.com/736x/38/9c/b1/389cb1203841730a1a8ba322daa7ecb0.jpg","https://i.pinimg.com/736x/76/e3/dc/76e3dc311ddbd61f666083b963910cea.jpg","https://i.pinimg.com/736x/e4/96/67/e496676ca6ea785c8ca5d28f514f9b69.jpg","https://i.pinimg.com/736x/c7/c9/d6/c7c9d6ee5e7d5214d89e3d8bab964497.jpg","https://i.pinimg.com/736x/98/79/5c/98795c07ad9b84ef22e4a6c2cdb135cc.jpg","https://i.pinimg.com/736x/63/fe/b0/63feb07620c1fab54e98ed2139be8aae.jpg","https://i.pinimg.com/736x/66/fc/f2/66fcf2d7d405398f8f163c4ea61aafbf.jpg","https://i.pinimg.com/736x/d9/52/ca/d952caf7b7de45d70f058be2b44e28b3.jpg","https://i.pinimg.com/736x/34/59/c5/3459c5208c819675eff6273210eed009.jpg","https://i.pinimg.com/736x/2a/55/76/2a557666df14a2594f6f3aade212021e.jpg","https://i.pinimg.com/736x/f0/b7/d5/f0b7d5140ec2fb65e58a53bef4506b52.jpg","https://i.pinimg.com/736x/ea/7b/4d/ea7b4d364c0150060e6b9bca249527b9.jpg","https://i.pinimg.com/736x/05/45/a4/0545a45040b9e368726bc134abf78075.jpg","https://i.pinimg.com/736x/f5/92/3a/f5923a99bfd83e0d8f7c0362e649c33a.jpg","http://dl.profile.line-cdn.net/0hMJ3wh4HFEmUODj6JvBNtMjJLHAh5IAMtYGhbUHsOSAclNlYxMW4NAnxaSgEmOAUxZThaCikPRFVz") jawaban = random.choice(jawab) cl.sendImageWithURL(msg.to,jawaban) #---------------------- elif "Pap abs" in msg.text: tanya = msg.text.replace("Pap abs","") jawab = ("https://i.pinimg.com/736x/80/1f/e8/801fe86de5b3768ac2994230b1a579e2.jpg","https://i.pinimg.com/736x/a0/e4/89/a0e489d5aeb8cc33c902f49b3b1f8006.jpg","https://i.pinimg.com/736x/91/b0/ee/91b0ee956c46b29f74b0e6d015be3255.jpg","https://i.pinimg.com/736x/f4/92/4d/f4924d75fe3170a73929fa3408592c86.jpg","https://i.pinimg.com/736x/d5/31/ba/d531ba0b7e72056eaedffa54620707e9.jpg","https://i.pinimg.com/736x/51/9b/99/519b9954e1b2ca5f4ab18a4e7c325619.jpg","https://i.pinimg.com/736x/3c/31/8c/3c318cae8e2a5e41ea1ed326737bf12f.jpg","https://i.pinimg.com/736x/87/d3/cb/87d3cb48f2e8eef33a49cd28d971d14b.jpg","https://i.pinimg.com/736x/0d/a3/57/0da357eeeeb9711317f2755a525d07db.jpg","https://i.pinimg.com/736x/09/7a/22/097a2296802dc6535edf1f10d35e64e8.jpg","https://i.pinimg.com/736x/e7/75/cc/e775cc97b9d52777f561daf284ace68b.jpg","https://i.pinimg.com/736x/76/bd/bf/76bdbfa728dcc6dfdd90cb816310af75.jpg","https://i.pinimg.com/736x/49/3a/98/493a988a4872216568844b319f022ac9.jpg","https://i.pinimg.com/736x/f0/f1/cf/f0f1cf3a347dd44c7416ca7baf2da7ed.jpg") jawaban = random.choice(jawab) cl.sendImageWithURL(msg.to,jawaban) #-----------------------------------------------#---------------------- #---------------------- elif "Pap toket" in msg.text: tanya = msg.text.replace("Pap toket","") jawab = ("https://encrypted-tbn2.gstatic.com/images?q=tbn:ANd9GcTilO50kExe4q_t-l8Kfn98sxyrHcbWPWCu2GP2SNgg8XWGMaZc8h5zaxAeVA","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQKgSYYgB33GP3LAvVSYxKjDlbPokmtzSWjbWJogz8lbZMNSyvqJTE3qWpwBg","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTgwKO_CAdZpSlXVVfA29qglGQR00WHkeqq4JakyYDuzIW2tKhvGg","https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcSC3ZMq4PnCX5dj7Fc_N6HOG6R_XrmOM7r6uBtpEcBfbO4hMEXQirK_lU_ePw","https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRgynJUxS4uYgaIiV_R6e4FY62QfhYRUEgYZg6psfJzWH_ci4dFng") jawaban = random.choice(jawab) cl.sendImageWithURL(msg.to,jawaban) #-----------------------------------------------#---------------------- elif "Pap anu" in msg.text: tanya = msg.text.replace("Pap anu","") jawab = ("https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcQFFKdXErF56KzAa4oWnWQT34jmGKJ66lj1g0hnN4zwYh9GgW0dHWZfRnuM","https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcQTn4_JMD1ZAg-XIk6JZ1Crhz9gtXEIS8AcjTA3SYmazAutt7ekHw","https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcTIVuITo7KicaU6UwPhol1Rvkq4aQwznly8Xl2SiTlAa_1FrSHuwhwV5XoElA") jawaban = random.choice(jawab) cl.sendImageWithURL(msg.to,jawaban) elif msg.text in ["Raisa"]: try: cl.sendImageWithURL(msg.to, "https://cdn.brilio.net/news/2017/05/10/125611/750xauto-selalu-tampil-cantik-memesona-ini-harga-10-sepatu-raisa-andriana-170510q.jpg") except Exception as e: cl.sendMessage(msg.to, str(e)) #----------------------------------------------- elif msg.text in ["Mode:on","mode:on"]: if msg.from_ in admin or owner: if wait["Wc"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ joιn on") else: wait["Wc"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"already on") if wait["Lv"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ leave on") else: wait["Lv"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"already on") if wait["tag"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"Already on") else: cl.sendText(msg.to,"Tag On") else: wait["tag"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"Tag On") else: cl.sendText(msg.to,"already on") #================================================= elif msg.text in ["Mode Off","mode off"]: if msg.from_ in admin or owner: if wait["Wc"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ joιn oғғ") else: wait["Wc"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Nayapa yg gabung already oғғ") if wait["Lv"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ leave oғғ") else: wait["Lv"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Nayapa yg left already oғғ") if wait["tag"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"Already Tag off") else: cl.sendText(msg.to,"Tag Off") else: wait["tag"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Tag Off") else: cl.sendText(msg.to,"Already Tag off") #=================================================== elif msg.text in ["Creator"]: msg.contentType = 13 msg.contentMetadata = {'mid': "u3cfa63811888b3a880bc4f348a95b23b"} cl.sendMessage(msg) cl.sendText(msg.to,'Mʏ Cʀᴇᴀᴛᴏʀ👉 line.me/ti/p/~tak.dapat.tidur') #-------------Fungsi Creator Finish-----------------# elif "Spam: " in msg.text: txt = msg.text.split(" ") jmlh = int(txt[2]) teks = msg.text.replace("Spam: "+str(txt[1])+" "+str(jmlh)+" ","") tulisan = jmlh * (teks+"\n") #Vicky Kull~ if txt[1] == "on": if jmlh <= 100000: for x in range(jmlh): cl.sendText(msg.to, teks) else: cl.sendText(msg.to, "Out of Range!") elif txt[1] == "off": if jmlh <= 100000: cl.sendText(msg.to, tulisan) else: cl.sendText(msg.to, "Out Of Range!") #---------------------------------------------------- elif "Botstatus " in msg.text: if msg.from_ in admin or owner: string = msg.text.replace("Botstatus ","") if len(string.decode('utf-8')) <= 500: profile = cl.getProfile() profile.statusMessage = string cl.updateProfile(profile) else: cl.sendText(msg.to,"Done") #----------------------------------------------- elif "dubbing " in msg.text.lower(): say = msg.text.lower().replace("dubbing ","") lang = 'id' tts = gTTS(text=say, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") #-------------------- elif 'wikipedia: ' in msg.text.lower(): try: wiki = msg.text.lower().replace("wikipedia: ","") wikipedia.set_lang("id") pesan="Title (" pesan+=wikipedia.page(wiki).title pesan+=")\n\n" pesan+=wikipedia.summary(wiki, sentences=3) pesan+="\n" pesan+=wikipedia.page(wiki).url cl.sendText(msg.to, pesan) except: try: pesan="Over Text Limit! Please Click link\n" pesan+=wikipedia.page(wiki).url cl.sendText(msg.to, pesan) except Exception as e: cl.sendText(msg.to, str(e)) #----------------------------------------------- elif "Apakah " in msg.text: tanya = msg.text.replace("Apakah ","") jawab = ("Ya","Tidak","Bisa Jadi","Mungkin") jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) cl.sendText(msg.to,jawaban) cl.sendText(msg.to,jawaban) #----------------------------------------------- elif "Dosa @" in msg.text: tanya = msg.text.replace("Dosa @","") jawab = ("60%","70%","80%","90%","100%","Tak terhingga") jawaban = random.choice(jawab) cl.sendText(msg.to,"Dosanya " + tanya + "adalah " + jawaban + "\nBanyak banyak tobat Nak ") elif "Pahala @" in msg.text: tanya = msg.text.replace("Pahala @","") jawab = ("0%","20%","40%","50%","60%","Tak ada") jawaban = random.choice(jawab) cl.sendText(msg.to,"Pahalanya " + tanya + "adalah " + jawaban + "\nTobatlah nak") #----------------------------------------------- elif "Steal group" in msg.text: group = cl.getGroup(msg.to) path =("http://dl.profile.line-cdn.net/" + group.pictureStatus) cl.sendImageWithURL(msg.to, path) #----------------------------------------------- elif "Name: @" in msg.text: _name = msg.text.replace("Name: @","") _nametarget = _name.rstrip(" ") gs = cl.getGroup(msg.to) for h in gs.members: if _nametarget == h.displayName: cl.sendText(msg.to,"[DisplayName]:\n" + h.displayName ) else: pass elif "Bio: @" in msg.text: _name = msg.text.replace("Bio: @","") _nametarget = _name.rstrip(" ") gs = cl.getGroup(msg.to) for h in gs.members: if _nametarget == h.displayName: cl.sendText(msg.to,"[Status]:\n" + h.statusMessage ) else: pass elif "Getprofile:" in msg.text: key = eval(msg.contentMetadata["MENTION"]) key1 = key["MENTIONEES"][0]["M"] contact = cl.getContact(key1) cu = cl.channel.getCover(key1) path = str(cu) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus try: cl.sendText(msg.to,"Nᴀᴍᴀ :\n" + contact.displayName + "\n\nBɪᴏ :\n" + contact.statusMessage) cl.sendText(msg.to,"Pʀᴏғɪʟᴇ Pɪᴄᴛᴜʀᴇ " + contact.displayName) cl.sendImageWithURL(msg.to,image) cl.sendText(msg.to,"Cᴏᴠᴇʀ " + contact.displayName) cl.sendImageWithURL(msg.to,path) except: pass elif "Getinfo:" in msg.text: key = eval(msg.contentMetadata["MENTION"]) key1 = key["MENTIONEES"][0]["M"] contact = cl.getContact(key1) cu = cl.channel.getCover(key1) try: cl.sendText(msg.to,"[Dɪꜱᴘʟᴀʏ Nᴀᴍᴇ]:\n" + contact.displayName + "\n\n[Mɪᴅ]:\n" + contact.mid + "\n\n[Bɪᴏ]:\n" + contact.statusMessage + "\n\n[Pʀᴏғɪʟᴇ Pɪᴄᴛᴜʀᴇ]:\nhttp://dl.profile.line-cdn.net/" + contact.pictureStatus + "\n\n[Cᴏᴠᴇʀ]:\n" + str(cu)) except: cl.sendText(msg.to,"[Dɪꜱᴘʟᴀʏ Nᴀᴍᴇ]:\n" + contact.displayName + "\n\n[Mɪᴅ]:\n" + contact.mid + "\n\n[Bɪᴏ]:\n" + contact.statusMessage + "\n\n[Pʀᴏғɪʟᴇ Pɪᴄᴛᴜʀᴇ]:\n" + str(cu)) elif "Contact:" in msg.text: key = eval(msg.contentMetadata["MENTION"]) key1 = key["MENTIONEES"][0]["M"] mmid = cl.getContact(key1) msg.contentType = 13 msg.contentMetadata = {"mid": key1} cl.sendMessage(msg) elif "Info: @" in msg.text: _name = msg.text.replace("Info: @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: xname = g.displayName xlen = str(len(xname)+1) msg.contentType = 0 kelamin = ("Waria","Laki-laki","Perempuan","Tidak Diketahui","Bencong","Kalau pagi cowo","Kalau pagi cewe") wajah = ("Standar","Ganteng","Cantik","Beruk","Hancur","Kembaran miper","Tidak beraturan") status = ("Menikah","Pacaran","Jones","Gamon dari mantan") k = random.choice(kelamin) w = random.choice(wajah) s = random.choice(status) cl.sendText(msg.to,"Dᴇᴛᴀɪʟ ɪɴғᴏ :\n Nᴀᴍᴀ : "+xname+"\n Kᴇʟᴀᴍɪɴ : "+k+"\n Wᴀᴊᴀʜ : "+w+"\n Sᴛᴀᴛᴜꜱ Kᴇʜɪᴅᴜᴘᴀɴ : "+s) elif "Status: @" in msg.text: _name = msg.text.replace("Status: @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: xname = g.displayName xlen = str(len(xname)+1) msg.contentType = 0 kelamin = ("Keturunan darah biru","Keturunan darah kotor","Saudaranya miper","Keturunan kerajaan","Keturunan ubab","Anaknya miper","Kembaran dijjah") wajah = ("Gajelas","Digantungin doi","Status ngambang kek anu","Pacaran","Bentar lagi Nikah","Menikah","Jomblo","Jonez seumur hidup","Menyedihkan") status = ("Jodohnya miper","Jodohnya Dijjah","Jodohnya artis","Jodohnya dari khayangan","Gapunya jodoh","Jodohnya ganti ganti","Kan jonez gapunya jodoh:'v") k = random.choice(kelamin) w = random.choice(wajah) s = random.choice(status) cl.sendText(msg.to,"Dᴇᴛᴀɪʟ ɪɴғᴏ :\n Nᴀᴍᴀ : "+xname+"\n Kᴇʟᴀᴍɪɴ : "+k+"\n Sᴛᴀᴛᴜꜱ : "+w+"\n Jᴏᴅᴏʜ : "+s) elif "love " in msg.text: tanya = msg.text.replace("love ","") jawab = ("10%\nCoba lah untuk melupakan","20%\nKu tak tau lagi:'","30%\nButuh perjuangan yang berat inih","40%\nCobalah saling mencimtai dengan tulus\nIngatlah kenangan indah kalian","50%\nSegeralah mengerti satu sama lain","60%\nLebih perhatian lagi oke","70%\nAyo sedikit lagi","80%\nWahhh, ada kemungkinan kalian jodoh","90%\nAyo sedikit lgi kak","100%\nKeterangan Moga - Moga Langgeng Ya Kak","0%\nKeterangan Ngak Cinta Sama Sekali :v") jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) elif msg.text in ["Ajg","Bgst","Bacot","Tai","Bazeng","Anjir","Fck","Fuck","Najiz","Bego","Najis"]: # if msg.from_ in admin: cl.sendText(msg.to,"Hayo jangan ngomong kasar kak") cl.sendText(msg.to,"Aku kick nih.gg") if msg.contentType == 16: if wait['likeOn'] == True: url = msg.contentMetadata["postEndUrl"] cl.like(url[25:58], url[66:], likeType=1005) cl.like(url[25:58], url[66:], likeType=1002) cl.like(url[25:58], url[66:], likeType=1004) cl.like(url[25:58], url[66:], likeType=1003) cl.like(url[25:58], url[66:], likeType=1001) cl.comment(url[25:58], url[66:], wait["comment1"]) cl.comment(url[25:58], url[66:], wait["comment2"]) cl.comment(url[25:58], url[66:], wait["comment3"]) cl.comment(url[25:58], url[66:], wait["comment4"]) cl.comment(url[25:58], url[66:], wait["comment5"]) cl.sendText(msg.to,"Like Success") wait['likeOn'] = False if op.type == 26: msg = op.message if msg.to in settings["simiSimi"]: if settings["simiSimi"][msg.to] == True: if msg.text is not None: text = msg.text r = requests.get("http://api.ntcorp.us/chatbot/v1/?text=" + text.replace(" ","+") + "&key=beta1.nt") data = r.text data = json.loads(data) if data['status'] == 200: if data['result']['result'] == 100: cl.sendText(msg.to,data['result']['response'].encode('utf-8')) #----------------------------------------------- elif "zodiak " in msg.text: tanggal = msg.text.replace("zodiak ","") r=requests.get('https://script.google.com/macros/exec?service=AKfycbw7gKzP-WYV2F5mc9RaR7yE3Ve1yN91Tjs91hp_jHSE02dSv9w&nama=ervan&tanggal='+tanggal) data=r.text data=json.loads(data) lahir = data["data"]["lahir"] usia = data["data"]["usia"] ultah = data["data"]["ultah"] zodiak = data["data"]["zodiak"] cl.sendText(msg.to,"Tanggal Lahir: "+lahir+"\n\nUsia: "+usia+"\n\nUltah: "+ultah+"\n\nZodiak: "+zodiak) #---------------------------------------------- elif "Stalk " in msg.text: print "[Command]Stalk executing" stalkID = msg.text.replace("Stalk ","") subprocess.call(["instaLooter",stalkID,"tmp/","-n","1"]) files = glob.glob("tmp/*.jpg") for file in files: os.rename(file,"tmp/tmp.jpg") fileTmp = glob.glob("tmp/tmp.jpg") if not fileTmp: cl.sendText(msg.to, "Image not found, maybe the account haven't post a single picture or the account is private") print "[Command]Stalk,executed - no image found" else: image = upload_tempimage(client) cl.sendText(msg.to, format(image['link'])) subprocess.call(["sudo","rm","-rf","tmp/tmp.jpg"]) print "[Command]Stalk executed - succes" #------------------------------------------------------------- elif "Gbc: " in msg.text: if msg.from_ in admin or owner: bctxt = msg.text.replace("Gbc: ", "") n = cl.getGroupIdsJoined() for manusia in n: cl.sendText(manusia, (bctxt)) elif "Pm cast: " in msg.text: if msg.from_ in admin or owner: bctxt = msg.text.replace("Pm cast: ", "") t = cl.getAllContactIds() for manusia in t: cl.sendText(manusia,(bctxt)) elif "Fbc: " in msg.text: if msg.from_ in admin or owner: bctxt = msg.text.replace("Fbc: ", "") t = cl.getAllContactIds() for manusia in t: cl.sendText(manusia, (bctxt)) #------------------------------------------------------ elif "Gethome @" in msg.text: print "[Command]cover executing" _name = msg.text.replace("Gethome @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: contact = cl.getContact(target) cu = cl.channel.getCover(target) path = str(cu) cl.sendImageWithURL(msg.to, path) except Exception as e: raise e print "[Command]cover executed" #----------------------------------------------- elif "Getpp @" in msg.text: print "[Command]dp executing" _name = msg.text.replace("Getpp @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: contact = cl.getContact(target) path = "http://dl.profile.line-cdn.net/" + contact.pictureStatus cl.sendImageWithURL(msg.to, path) except Exception as e: raise e print "[Command]dp executed" #-------------------------------------------- elif msg.text in ["Steal contact"]: wait["contact"] = True cl.sendText(msg.to,"Send Contact") elif msg.text in ["Like:me","Like me"]: #Semua Bot Ngelike Status Akun Utama print "[Command]Like executed" cl.sendText(msg.to,"Like Status Owner") try: likeme() except: pass elif msg.text in ["Like:friend","Like friend"]: #Semua Bot Ngelike Status Teman print "[Command]Like executed" cl.sendText(msg.to,"Like Status Teman") try: likefriend() except: pass elif msg.text in ["Auto like"]: wait["likeOn"] = True cl.sendText(msg.to,"Shere Post Kamu Yang Mau Di Like!") elif msg.text in ["Steal contact"]: wait["steal"] = True cl.sendText(msg.to,"Send Contact") elif msg.text in ["Giftbycontact"]: wait["gift"] = True cl.sendText(msg.to,"Send Contact") elif msg.text in ["Autolike on"]: if wait["likeOn"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"Done。") else: wait["likeOn"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"Already。") elif msg.text in ["Autolike off"]: if wait["likeOn"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"Done。") else: wait["likeOn"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Already") #-------------------------- elif msg.text in ["Njoin on"]: if wait["Wc"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ joιn on") else: wait["Wc"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"already on") elif msg.text in ["Njoin off"]: if wait["Wc"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ joιn oғғ") else: wait["Wc"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"already oғғ") #-------------------------- elif msg.text in ["Nleave on"]: if wait["Lv"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ leave on") else: wait["Lv"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"already on") elif msg.text in ["Nleave off"]: if wait["Lv"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"noтιғ leave oғғ") else: wait["Lv"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"already oғғ") elif msg.text in ["Autoread:on"]: wait['alwayRead'] = True cl.sendText(msg.to,"Auto read On") elif msg.text in ["Autoread:off"]: wait['alwayRead'] = False cl.sendText(msg.to,"Auto read Off") elif msg.text in ["Simisimi on","Simisimi:on"]: settings["simiSimi"][msg.to] = True wait["Simi"] = True cl.sendText(msg.to," Simisimi Di Aktifkan") elif msg.text in ["Simisimi off","Simisimi:off"]: settings["simiSimi"][msg.to] = False wait["Simi"] = False cl.sendText(msg.to,"Simisimi Di Nonaktifkan") ##-------------------------- elif 'music: ' in msg.text.lower(): try: songname = msg.text.lower().replace('music: ','') params = {'songname': songname} r = requests.get('http://ide.fdlrcn.com/workspace/yumi-apis/joox?' + urllib.urlencode(params)) # r = requests.get('http://ide.ntorp.us/joox/client' + urllib.urlencode(params)) data = r.text data = json.loads(data) for song in data: hasil = 'This is Your Music\n' hasil += 'Judul : ' + song[0] hasil += '\nDurasi : ' + song[1] hasil += '\nLink Download : ' + song[4] songz = song[5].encode('utf-8') lyric = songz.replace('ti:','Title -') lyric = lyric.replace('ar:','Artist -') lyric = lyric.replace('al:','Album -') removeString = "[1234567890.:]" for char in removeString: lyric = lyric.replace(char,'') cl.sendText(msg.to, hasil) cl.sendAudioWithURL(msg.to, song[4]) cl.sendText(msg.to, "Judul: " + song[0].encode('utf-8') + "\n\n" + lyric) except Exception as njer: cl.sendText(msg.to, str(njer)) #------------------------------------------------ elif 'lirik: ' in msg.text.lower(): try: songname = msg.text.lower().replace('lirik: ','') params = {'songname': songname} r = requests.get('http://ide.fdlrcn.com/workspace/yumi-apis/joox?' + urllib.urlencode(params)) data = r.text data = json.loads(data) for song in data: hasil = 'Lyric Lagu (' hasil += song[0] hasil += ')\n\n' hasil += song[5] cl.sendText(msg.to, hasil) except Exception as wak: cl.sendText(msg.to, str(wak)) #----------------------------------- elif "idline: " in msg.text: id = msg.text.replace("idline: ", "") find = cl.findContactsByUserId(id) for findid in find: try: msg.contentType = 13 msg.contentMetadata = {'mid': findid.mid} cl.sendMessage(msg) except Exception as error: print error #----------------------------------- elif "Getimage group" in msg.text: group = cl.getGroup(msg.to) path =("http://dl.profile.line-cdn.net/" + group.pictureStatus) cl.sendImageWithURL(msg.to, path) #---------------------------------- elif "Leavegroup " in msg.text.split(): if msg.from_ in admin or owner: ng = msg.text.split().replace("Leavegroup ","") gid = cl.getGroupIdsJoined() if msg.from_ in admin or owner: for i in gid: h = cl.getGroup(i).name if h == ng: cl.sendText(i,"Bot di paksa keluar oleh owner!") cl.leaveGroup(i) cl.sendText(msg.to,"Success left ["+ h +"] group") #else: #pass #else: #cl.sendText(msg.to,"Khusus Creator/Admin") elif msg.text in ["LG"]: #Melihat List Group if msg.from_ in admin or owner: gids = cl.getGroupIdsJoined() h = "" for i in gids: #####gn = cl.getGroup(i).name h += "[•]%s Member\n" % (cl.getGroup(i).name +"👉"+str(len(cl.getGroup(i).members))) cl.sendText(msg.to,"=======[List Group]======\n"+ h +"Total Group :"+str(len(gids))) elif msg.text in ["LG2"]: #Melihat List Group + ID Groupnya (Gunanya Untuk Perintah InviteMeTo:) if msg.from_ in owner: gid = cl.getGroupIdsJoined() h = "" for i in gid: h += "[%s]:%s\n" % (cl.getGroup(i).name,i) cl.sendText(msg.to,h) #--------------List Group------------ elif "Invitegrup " in msg.text: if msg.from_ in owner: gid = msg.text.replace("Invitegrup ","") if gid == "": cl.sendText(msg.to,"Invalid group id") else: try: cl.findAndAddContactsByMid(msg.from_) cl.inviteIntoGroup(gid,[msg.from_]) except: cl.sendText(msg.to,"Mungkin saya tidak di dalaam grup itu") #---------------------------------- elif "Getcontact: " in msg.text: if msg.from_ in admin or owner: key = eval(msg.contentMetadata["MENTION"]) key1 = key["MENTIONEES"][0]["M"] mmid = cl.getContact(key1) msg.contentType = 13 msg.contentMetadata = {"mid": key1} #---------------------------------- elif "youtube search: " in msg.text.lower(): query = msg.text.lower().replace("youtube search: ","") with requests.session() as s: s.headers['user-agent'] = 'Mozilla/5.0' url = 'https://www.youtube.com/results' params = {'search_query': query} r = s.get(url, params=params) soup = BeautifulSoup(r.content, 'html5lib') for a in soup.select('.yt-lockup-title > a[title]'): if '&List' not in a['href']: cl.sendText(msg.to,'Judul : ' + a['title'] + '\nLink : ' + 'https://www.youtube.com' + a['href']) print '[Command] Youtube Search' elif 'youtube: ' in msg.text.lower(): query = msg.text.split(" ") try: if len(query) == 3: isi = yt(query[2]) hasil = isi[int(query[1])-1] cl.sendText(msg.to, hasil) else: isi = yt(query[1]) cl.sendText(msg.to, isi[0]) except Exception as e: print(e) elif "Vidio " in msg.text: try: textToSearch = (msg.text).replace("Vidio ", "").strip() query = urllib.quote(textToSearch) url = "https://www.youtube.com/results?search_query=" + query response = urllib2.urlopen(url) html = response.read() soup = BeautifulSoup(html, "html.parser") results = soup.find(attrs={'class':'yt-uix-tile-link'}) ght=('https://www.youtube.com' + results['href']) cl.sendVideoWithURL(msg.to,ght) except: cl.sendText(msg.to,"Could not find it") #--------------------------------- #----------------------------------------- elif msg.text.lower() == 'runtime': if msg.from_ in admin or owner: eltime = time.time() - mulai van = "Bot sudah berjalan selama "+waktu(eltime) cl.sendText(msg.to,van) #----------------------------------------- elif msg.text in ["Bot restart"]: if msg.from_ in owner: cl.sendText(msg.to, "Bot has been restarted") restart_program() print "@Restart" #----------------------------------------- elif msg.text in ["Like temen","Bot like temen"]: #Semua Bot Ngelike Status Teman if msg.from_ in owner: print "[Command]Like executed" cl.sendText(msg.to,"Kami Siap Like Status Teman Boss") try: autolike() except: pass #----------------------------------------- elif msg.text in ["Gcreator"]: if msg.toType == 2: msg.contentType = 13 ginfo = cl.getGroup(msg.to) gCreator = ginfo.creator.mid try: msg.contentMetadata = {'mid': gCreator} gCreator1 = ginfo.creator.displayName except: gCreator = "Error" cl.sendText(msg.to, "Group Creator : " + gCreator1) cl.sendMessage(msg) #----------------------------------------------- elif msg.text in ["Tag on"]: if wait["tag"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"Already on") else: cl.sendText(msg.to,"Tag On") else: wait["tag"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"Tag On") else: cl.sendText(msg.to,"already on") elif msg.text in ["Tag off"]: if wait["tag"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"Already off") else: cl.sendText(msg.to,"Tag Off") else: wait["tag"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Tag Off") else: cl.sendText(msg.to,"Already off") elif msg.text in ["Auto on"]: if msg.from_ in admin or owner: if wait["auto"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"Bot join on") else: cl.sendText(msg.to,"Bot join On") else: wait["auto"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"Bot join On") else: cl.sendText(msg.to,"Bot join On") elif msg.text in ["Auto off"]: if msg.from_ in admin or owner: if wait["auto"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"Bot join off") else: cl.sendText(msg.to,"Bot join off") else: wait["auto"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Bot join off") else: cl.sendText(msg.to,"Bot join off") #----------------------------------------------- elif "Admadd @" in msg.text: if msg.from_ in admin or owner: print "[Command]Staff add executing" _name = msg.text.replace("Admadd @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = kc.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: admin.append(target) cl.sendText(msg.to,"Admin Telah Ditambahkan") except: pass print "[Command]Staff add executed" else: cl.sendText(msg.to,"Command Di Tolak Jangan Sedih") cl.sendText(msg.to,"Sudah Menjadi Admin Maka Tidak Bisa Menjadi Admin Lagi") elif "Admrem @" in msg.text: if msg.from_ in admin or owner: print "[Command]Staff remove executing" _name = msg.text.replace("Admrem @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = kc.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: admin.remove(target) cl.sendText(msg.to,"Admin Telah Dihapus") except: pass print "[Command]Staff remove executed" else: cl.sendText(msg.to,"Command DiTolak") cl.sendText(msg.to,"Admin Tidak Bisa Menggunakan") elif msg.text in ["Adminlist bot"]: if msg.from_ in admin or owner: if admin == []: cl.sendText(msg.to,"The adminlist is empty") else: cl.sendText(msg.to,"Sabar Dikit Mamang.....") mc = "🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖" for mi_d in admin: mc += "☄1�7 " +cl.getContact(mi_d).displayName + "\n" cl.sendText(msg.to,mc) print "[Command]Stafflist executed" #----------------------------------------------- elif "Kapan " in msg.text: tanya = msg.text.replace("Kapan ","") jawab = ("Besok","Tahun Depan","Minggu Depan","Satu Abad Lagi") jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) elif "Waktu" in msg.text: wait2['setTime'][msg.to] = datetime.today().strftime('TANGGAL : %Y-%m-%d \nHARI : %A \nJAM : %H:%M:%S') cl.sendText(msg.to, " Waktu/Tanggal\n\n" + (wait2['setTime'][msg.to])) cl.sendText(msg.to, "Mungkin Tidak Sesuai Atau Sesuai Dengan Tanggal/Waktu Sekrang Dikarenakan Ini Robot Bukan Manusia :v") #----------------------------------------------- #----------------------------------------------- elif "Quotes" in msg.text: tanya = msg.text.replace(".quotes","") jawab = ("Don't cry because it's over, smile because it happened.\nDr. Seuss","I'm selfish, impatient and a little insecure. I make mistakes, I am out of control and at times hard to handle. But if you can't handle me at my worst, then you sure as hell don't deserve me at my best.\nMarilyn Monroe","Be yourself; everyone else is already taken.\nOscar Wilde","Two things are infinite: the universe and human stupidity; and I'm not sure about the universe.\nAlbert Einstein","Jangan makan, berat\nNanti kamu gendutan:'v","Nggak perlu orang yang sexy maupun rupawan untukku\nCukup kamu yang bisa buat aku bahagia") jawaban = random.choice(jawab) cl.sendText(msg.to,jawaban) elif msg.text in ["pap","Pap"]: cl.sendImageWithURL(msg.to, "https://i.pinimg.com/736x/d1/93/25/d19325b71789e33bedb054468c1fd134--girls-generation-tiffany-girls-generation.jpg") elif "/apakah " in msg.text: apk = msg.text.replace("/apakah ","") rnd = ["Ya","Tidak","Bisa Jadi","Mungkin"] p = random.choice(rnd) lang = 'id' tts = gTTS(text=p, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") cl.sendText(msg.to,p) elif "Hari " in msg.text: apk = msg.text.replace("Hari ","") rnd = ["Senin","Selasa","Rabu","Kamis","Jumat","Sabtu","Minggu"] p = random.choice(rnd) lang = 'id' tts = gTTS(text=p, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") cl.sendText(msg.to,p) elif "Berapa " in msg.text: apk = msg.text.replace("Berapa ","") rnd = ['10%','20%','30%','40%','50%','60%','70%','80%','90%','100%','0%'] p = random.choice(rnd) lang = 'id' tts = gTTS(text=p, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") cl.sendText(msg.to,p) elif "Berapakah " in msg.text: apk = msg.text.replace("Berapakah ","") rnd = ['1','2','3','4','5','6','7','8','9','10','Tidak Ada'] p = random.choice(rnd) lang = 'id' tts = gTTS(text=p, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") cl.sendText(msg.to,p) elif "/kapan " in msg.text: apk = msg.text.replace("/kapan ","") rnd = ["kapan kapan","besok","satu abad lagi","Hari ini","Tahun depan","Minggu depan","Bulan depan","Sebentar lagi","Tidak Akan Pernah"] p = random.choice(rnd) lang = 'id' tts = gTTS(text=p, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") cl.sendText(msg.to,p) #-------------------------------------- elif msg.text in ["Kalender","Time","Waktu"]: timeNow = datetime.now() timeHours = datetime.strftime(timeNow,"(%H:%M)") day = ["Sunday", "Monday", "Tuesday", "Wednesday", "Thursday","Friday", "Saturday"] hari = ["Minggu", "Senin", "Selasa", "Rabu", "Kamis", "Jumat", "Sabtu"] bulan = ["Januari", "Februari", "Maret", "April", "Mei", "Juni", "Juli", "Agustus", "September", "Oktober", "November", "Desember"] inihari = datetime.today() hr = inihari.strftime('%A') bln = inihari.strftime('%m') for i in range(len(day)): if hr == day[i]: hasil = hari[i] for k in range(0, len(bulan)): if bln == str(k): bln = bulan[k-1] rst = hasil + ", " + inihari.strftime('%d') + " - " + bln + " - " + inihari.strftime('%Y') + "\nJam : [ " + inihari.strftime('%H:%M:%S') + " ]" cl.sendText(msg.to, rst) #client.sendText(msg.to, rst) #----------------------------------------------- elif "Search image: " in msg.text: search = msg.text.replace("Search image: ","") url = 'https://www.google.com/search?espv=2&biw=1366&bih=667&tbm=isch&oq=kuc&aqs=mobile-gws-lite.0.0l5&q=' + search raw_html = (download_page(url)) items = [] items = items + (_images_get_all_items(raw_html)) path = random.choice(items) print path try: cl.sendImageWithURL(msg.to,path) except: pass elif 'searchimage' in msg.text.lower(): try: shi = msg.text.lower().replace("searchimage ","") kha = random.choice(items) url = 'https://www.google.com/search?hl=en&biw=1366&bih=659&tbm=isch&sa=1&ei=vSD9WYimHMWHvQTg_53IDw&q=' + shi raw_html = (download_page(url)) items = items + (_images_get_all_items(raw_html)) items = [] except: try: start = timeit.timeit() cl.sendImageWithURL(msg.to,random.choice(items)) cl.sendText(msg.to,"Total Image Links ="+str(len(items))) except Exception as e: cl.sendText(msg.to,str(e)) elif "anime: " in msg.text.lower(): van = msg.text.lower().replace("anime: ","") cl.sendText(msg.to,"Sedang Mencari...") cl.sendText(msg.to,"https://myanimelist.net/anime.php?q=" + van) cl.sendText(msg.to,"Bener Gak?") elif "Google: " in msg.text: a = msg.text.replace("Google: ","") b = urllib.quote(a) cl.sendText(msg.to,"Sedang Mencari...") cl.sendText(msg.to, "https://www.google.com/" + b) cl.sendText(msg.to,"Itu Dia Linknya. . .") cl.sendImageWithUrl(msg.to,b) elif "playstore: " in msg.text.lower(): tob = msg.text.lower().replace("playstore: ","") cl.sendText(msg.to,"Sedang Mencari...") cl.sendText(msg.to,"Title : "+tob+"\nSource : Google Play\nLink : https://play.google.com/store/search?q=" + tob) cl.sendText(msg.to,"Tuh link nya boss") #----------------------------------------------- elif 'instagram: ' in msg.text.lower(): try: instagram = msg.text.lower().replace("instagram: ","") html = requests.get('https://www.instagram.com/' + instagram + '/?') soup = BeautifulSoup(html.text, 'html5lib') data = soup.find_all('meta', attrs={'property':'og:description'}) text = data[0].get('content').split() data1 = soup.find_all('meta', attrs={'property':'og:image'}) text1 = data1[0].get('content').split() user = "Name: " + text[-2] + "\n" user1 = "Username: " + text[-1] + "\n" followers = "Followers: " + text[0] + "\n" following = "Following: " + text[2] + "\n" post = "Post: " + text[4] + "\n" link = "Link: " + "https://www.instagram.com/" + instagram detail = "========INSTAGRAM INFO USER========\n" details = "\n========INSTAGRAM INFO USER========" cl.sendText(msg.to, detail + user + user1 + followers + following + post + link + details) cl.sendImageWithURL(msg.to, text1[0]) except Exception as njer: cl.sendText(msg.to, str(njer)) elif "twitter: " in msg.text.lower(): a = msg.text.replace("twitter: ","") b = urllib.quote(a) cl.sendText(msg.to,"「 Searching 」\n" "Type:Search Info\nStatus: Processing") cl.sendText(msg.to, "https://www.twitter.com/" + b) cl.sendText(msg.to,"「 Searching 」\n" "Type:Search Info\nStatus: Success") #----------------------------------------------- elif "Tr-id " in msg.text: nk0 = msg.text.replace("Tr-id ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'id') cl.sendText(msg.to,str(trans)) elif "Tr-th " in msg.text: nk0 = msg.text.replace("Tr-th ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'th') cl.sendText(msg.to,str(trans)) elif "Tr-ja " in msg.text: nk0 = msg.text.replace("Tr-ja ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'ja') cl.sendText(msg.to,str(trans)) elif "Tr-en " in msg.text: nk0 = msg.text.replace("Tr-en ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'en') cl.sendText(msg.to,str(trans)) elif "Tr-ms " in msg.text: nk0 = msg.text.replace("Tr-ms ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'ms') cl.sendText(msg.to,str(trans)) elif "Tr-it " in msg.text: nk0 = msg.text.replace("Tr-it ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'it') cl.sendText(msg.to,str(trans)) elif "Tr-tr " in msg.text: nk0 = msg.text.replace("Tr-tr ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'tr') cl.sendText(msg.to,str(trans)) elif "Tr-my " in msg.text: nk0 = msg.text.replace("Tr-my ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'my') cl.sendText(msg.to,str(trans)) elif "Tr-af " in msg.text: nk0 = msg.text.replace("Tr-af ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'af') cl.sendText(msg.to,str(trans)) elif "Tr-sq " in msg.text: nk0 = msg.text.replace("Tr-sq ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'sq') cl.sendText(msg.to,str(trans)) elif "Tr-am " in msg.text: nk0 = msg.text.replace("Tr-am ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'am') cl.sendText(msg.to,str(trans)) elif "Tr-ar " in msg.text: nk0 = msg.text.replace("Tr-ar ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'ar') cl.sendText(msg.to,str(trans)) elif "Tr-hy " in msg.text: nk0 = msg.text.replace("Tr-hy ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 trans = translate(_name, 'hy') cl.sendText(msg.to,str(trans)) #----------------UpdateFotoProfil----------------# elif "Cpp" in msg.text: if msg.from_ in admin or owner: path = "Robot.jpg" cl.sendText(msg.to,"Update PP :") cl.sendImage(msg.to,path) cl.updateProfilePicture(path) #--------------------------CEK SIDER------------------------------ elif "setview" in msg.text: subprocess.Popen("echo '' > dataSeen/"+msg.to+".txt", shell=True, stdout=subprocess.PIPE) cl.sendText(msg.to, "Checkpoint checked!") print "@setview" elif "viewseen" in msg.text: lurkGroup = "" dataResult, timeSeen, contacts, userList, timelist, recheckData = [], [], [], [], [], [] with open('dataSeen/'+msg.to+'.txt','r') as rr: contactArr = rr.readlines() for v in xrange(len(contactArr) -1,0,-1): num = re.sub(r'\n', "", contactArr[v]) contacts.append(num) pass contacts = list(set(contacts)) for z in range(len(contacts)): arg = contacts[z].split('|') userList.append(arg[0]) timelist.append(arg[1]) uL = list(set(userList)) for ll in range(len(uL)): try: getIndexUser = userList.index(uL[ll]) timeSeen.append(time.strftime("%H:%M:%S", time.localtime(int(timelist[getIndexUser]) / 1000))) recheckData.append(userList[getIndexUser]) except IndexError: conName.append('nones') pass contactId = cl.getContacts(recheckData) for v in range(len(recheckData)): dataResult.append(contactId[v].displayName + ' ('+timeSeen[v]+')') pass if len(dataResult) > 0: tukang = "List Viewer\n*" grp = '\n* '.join(str(f) for f in dataResult) total = '\n\nTotal %i viewers (%s)' % (len(dataResult), datetime.now().strftime('%H:%M:%S') ) cl.sendText(msg.to, "%s %s %s" % (tukang, grp, total)) else: cl.sendText(msg.to, "Belum ada viewers") print "@viewseen" #--------------------------CEK SIDER------------------------------ elif msg.from_ in mimic["target"] and mimic["status"] == True and mimic["target"][msg.from_] == True: text = msg.text if text is not None: cl.sendText(msg.to,text) else: if msg.contentType == 7: msg.contentType = 7 msg.text = None msg.contentMetadata = { "STKID": "6", "STKPKGID": "1", "STKVER": "100" } cl.sendMessage(msg) elif msg.contentType == 13: msg.contentType = 13 msg.contentMetadata = {'mid': msg.contentMetadata["mid"]} cl.sendMessage(msg) elif "Mimic:" in msg.text: cmd = msg.text.replace("Mimic:","") if cmd == "on": if mimic["status"] == False: mimic["status"] = True cl.sendText(msg.to,"Mimic on") else: cl.sendText(msg.to,"Mimic already on") elif cmd == "off": if mimic["status"] == True: mimic["status"] = False cl.sendText(msg.to,"Mimic off") else: cl.sendText(msg.to,"Mimic already off") elif "Add: " in cmd: target0 = msg.text.replace("Add: ","") target1 = target0.lstrip() target2 = target1.replace("@","") target3 = target2.rstrip() _name = target3 gInfo = cl.getGroup(msg.to) targets = [] for a in gInfo.members: if _name == a.displayName: targets.append(a.mid) if targets == []: cl.sendText(msg.to,"No targets") else: for target in targets: try: mimic["target"][target] = True cl.sendText(msg.to,"Success added target") #cl.sendMessageWithMention(msg.to,target) break except: cl.sendText(msg.to,"Failed") break elif "Del: " in cmd: target0 = msg.text.replace("Del: ","") target1 = target0.lstrip() target2 = target1.replace("@","") target3 = target2.rstrip() _name = target3 gInfo = cl.getGroup(msg.to) targets = [] for a in gInfo.members: if _name == a.displayName: targets.append(a.mid) if targets == []: cl.sendText(msg.to,"No targets") else: for target in targets: try: del mimic["target"][target] cl.sendText(msg.to,"Success deleted target") #cl.sendMessageWithMention(msg.to,target) break except: cl.sendText(msg.to,"Failed!") break elif cmd == "ListTarget": if mimic["target"] == {}: cl.sendText(msg.to,"No target") else: lst = "<<List Target>>" total = len(mimic["target"]) for a in mimic["target"]: if mimic["target"][a] == True: stat = "On" else: stat = "Off" lst += "\n☄1�7" + cl.getContact(mi_d).displayName + " | " + stat cl.sendText(msg.to,lst + "\nTotal:" + total) #---------------------------------------------------------------- #-------------------------------- elif msg.text in ["Gift","gift"]: msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '5'} msg.text = None cl.sendMessage(msg) elif msg.text in ["Gift1"]: msg.contentType = 9 msg.contentMetadata={'PRDID': '696d7046-843b-4ed0-8aac-3113ed6c0733', 'PRDTYPE': 'THEME', 'MSGTPL': '6'} msg.text = None cl.sendMessage(msg) elif msg.text in ["Gift2"]: msg.contentType = 9 msg.contentMetadata={'PRDID': '8fe8cdab-96f3-4f84-95f1-6d731f0e273e', 'PRDTYPE': 'THEME', 'MSGTPL': '7'} msg.text = None cl.sendMessage(msg) elif msg.text in ["Gift3"]: msg.contentType = 9 msg.contentMetadata={'PRDID': 'ae3d9165-fab2-4e70-859b-c14a9d4137c4', 'PRDTYPE': 'THEME', 'MSGTPL': '8'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift01': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '1'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift02': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '2'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift03': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '3'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift04': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '4'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift05': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '5'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift06': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '6'} msg.text = None cl.sendMessage(msg) elif msg.text.lower() == 'gift012': msg.contentType = 9 msg.contentMetadata={'PRDID': 'a0768339-c2d3-4189-9653-2909e9bb6f58', 'PRDTYPE': 'THEME', 'MSGTPL': '12'} msg.text = None cl.sendMessage(msg) # elif "Gift dia 5000c " in msg.text: # if msg.from_ in admin or owner: # msg.contentType = 13 # nk0 = msg.text.replace("Gift dia 5000c ","") # nk1 = nk0.lstrip() # nk2 = nk1.replace("@","") # nk3 = nk2.rstrip() # _name = nk3 # gs = cl.getGroup(msg.to) # targets = [] # for s in gs.members: # if _name in s.displayName: # targets.append(s.mid) # if targets == []: # sendMessage(msg.to,"user does not exist") # pass # else: # for target in targets: # try: # cl.sendText(msg.to,_name + " Cʜᴇᴄᴋ Yᴏᴜʀ Gɪғᴛ Bᴏx") # msg.contentType = 9 # msg.contentMetadata= {'PRDTYPE': 'STICKER', # 'STKVER': '1', # 'MSGTPL': '1', # 'STKPKGID': '1380280'} # msg.to = target # msg.text = None # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendMessage(msg) # cl.sendText(msg.to,_name + "Dᴏɴᴇ 5000 ᴄᴏɪɴ") # except: # msg.contentMetadata = {'mid': target} elif "Gift1 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift1 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '1', 'STKPKGID': '1380280'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift2 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift2 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '2', 'STKPKGID': '1360738'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift3 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift3 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '3', 'STKPKGID': '1395389'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift4 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift4 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '4', 'STKPKGID': '1329191'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift5 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift5 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '1', 'STKPKGID': '9057'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift6 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift6 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '2', 'STKPKGID': '9167'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift7 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift7 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '3', 'STKPKGID': '7334'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift8 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift8 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '1', 'STKPKGID': '1380280'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift9 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift9 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '4', 'STKPKGID': '1405277'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} elif "Gift10 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift10 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '1', 'STKPKGID': '1296261'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} #------------------------------ elif msg.text in ["Line clone","line clone"]: cl.sendText(msg.to,"Key:\nLine1\nLine2\nLine3\nLine4\nLine5") elif msg.text in ["Line1","line1"]: cl.sendText(msg.to,"Clone 1:\nhttps://drive.google.com/open?id=1M4MvuodyebWZ_3ePUySEh3fdhnoWgLes") elif msg.text in ["Line2","line2"]: cl.sendText(msg.to,"Clone 2:\nhttps://drive.google.com/open?id=1AKDbRW7O-ql4t1wUYe2KkfGahjXvShsJ") elif msg.text in ["Line3","line3"]: cl.sendText(msg.to,"Clone 3:\nhttps://drive.google.com/open?id=1zUPVQrI8fq9Z0W6IenqtgB5qtLfZq2if") elif msg.text in ["Line4","line4"]: cl.sendText(msg.to,"Clone 4:\nhttps://drive.google.com/open?id=1SzUe4lqQehfqYC-FsKmsYT7RkLsYAgJV") elif msg.text in ["Line5","line5"]: cl.sendText(msg.to,"Clone 5:\nhttps://drive.google.com/open?id=1JfStADgnukTsg1CyACR-PN3_cOxGuGpb") #-------------------------------------- elif msg.text in ["hmm","hmmm"]: cl.sendText(msg.to,"Waduh kenapa? gatel tenggorokan ya") elif msg.text in ["Welcome","welcome","Welkam","welkam","Wc","wc","Kam","kam"]: gs = cl.getGroup(msg.to) cl.sendText(msg.to,"Sᴇʟᴀᴍᴀᴛ Dᴀᴛᴀɴɢ Dɪ "+ gs.name) msg.contentType = 7 msg.contentMetadata={'STKID': '247', 'STKPKGID': '3', 'STKVER': '100'} msg.text = None cl.sendMessage(msg) cl.sendText(msg.to,"Jangan nakal ok!") #----------------------------------------------- #-------------- Add Friends ------------ elif "botadd @" in msg.text: if msg.from_ in admin or owner: if msg.toType == 2: if msg.from_ in admin or owner: print "[Command]Add executing" _name = msg.text.replace("botadd @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = cl.getGroup(msg.to) gs = kc.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: cl.findAndAddContactsByMid(target) cl.senText(msg.to, "Berhasil Menambah Kan Teman") except: cl.sendText(msg.to,"Error") else: cl.sendText(msg.to,"Perintah Ditolak") cl.sendText(msg.to,"Perintah ini Hanya Untuk Admin") #------------------------------------------------- elif "Mid: @" in msg.text: if msg.from_ in admin or owner: _name = msg.text.replace("Mid: @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: cl.sendText(msg.to, g.mid) else: pass #-------------------------- elif msg.text in ["Bye all gc"]: # Keluar Dari Semua Group Yang Di dalem nya ada bot(Kalo Bot Kalian Nyangkut di Group lain :D) if msg.from_ in admin or owner: gid = cl.getGroupIdsJoined() for i in gid: cl.leaveGroup(i) if wait["lang"] == "JP": cl.sendText(msg.to,"Bʏᴇ,, Bʏᴇᴇ... " + str(ginfo.name) + "\n\nBᴏᴛꜱ Dɪᴘᴀᴋꜱᴀ Kᴇʟᴜᴀʀ ᴏʟᴇʜ Oᴡɴᴇʀ Bᴏᴛꜱ...!!!\nMᴀᴋᴀꜱɪʜ...!!!") else: cl.sendText(msg.to,"He declined all invitations") #-------------------------- elif "Bcgrup: " in msg.text: bc = msg.text.replace("Bcgrup: ","") gid = cl.getGroupIdsJoined() if msg.from_ in admin or owner: for i in gid: cl.sendText(i,""+bc+"\n\n@Bʀᴏᴀᴅᴄᴀꜱᴛ") cl.sendText(msg.to,"Success BC BosQ") else: cl.sendText(msg.to,"Khusus Admin") #-------------------------------------------------------- elif msg.text in ["Bot like","bot like"]: try: print "activity" url = cl.activity(limit=1) print url cl.like(url['result']['posts'][0]['userInfo']['mid'], url['result']['posts'][0]['postInfo']['postId'], likeType=1001) cl.comment(url['result']['posts'][0]['userInfo']['mid'], url['result']['posts'][0]['postInfo']['postId'], "Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") cl.sendText(msg.to, "Success~") except Exception as E: try: cl.sendText(msg.to,str(E)) except: pass elif msg.text in ["timeline"]: try: url = cl.activity(limit=5) cl.sendText(msg.to,url['result']['posts'][0]['postInfo']['postId']) except Exception as E: print E #--------------------------------------------------------------------- elif msg.text in ["Sp","Speed",".sp"]: start = time.time() cl.sendText(msg.to, "🏹Proses...➴") elapsed_time = time.time() - start cl.sendText(msg.to, "%s/Detik" % (elapsed_time)) #------------------------------------------------------------------ elif "album" in msg.text: if msg.from_ in admin or owner: try: albumtags = msg.text.replace("album","") gid = albumtags[:6] name = albumtags.replace(albumtags[:34],"") cl.createAlbum(gid,name) cl.sendText(msg.to,name + "created an album") except: cl.sendText(msg.to,"Error") elif "fakecÃ¢â€ â�1�7�1�71¤7 1�71¤7" in msg.text: if msg.from_ in admin or owner: try: source_str = 'abcdefghijklmnopqrstuvwxyz1234567890@:;./_][!&%$#)(=~^|' name = "".join([random.choice(source_str) for x in xrange(10)]) anu = msg.text.replace("fakecÃ¢â€ â�1�7�1�71¤7 1�71¤7","") cl.sendText(msg.to,str(cl.channel.createAlbum(msg.to,name,anu))) except Exception as e: try: cl.sendText(msg.to,str(e)) except: pass #------------------------------------------------------------------ elif "#rmegs " in msg.text: if msg.from_ in owner: gName = msg.text.replace("#rmegs ","") ap = cl.getGroups([msg.to]) semua = findAndAddContactsByMid(Mi_d) nya = ap[0].members for a in nya: Mi_d = str(a.mid) klis=[cl] team=random.choice(klis) cl.findAndAddContactsByMid(Mi_d) cl.createGroup(gName, semua) elif "Bot spin" in msg.text: if msg.from_ in owner: thisgroup = cl.getGroups([msg.to]) Mids = [contact.mid for contact in thisgroup[0].members] mi_d = Mids[:33] cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.createGroup("Nah kan", mi_d) cl.sendText(msg.to,"Success...!!!!") elif msg.text in ["Remove all chat"]: if msg.from_ in owner: cl.removeAllMessages(op.param2) cl.sendText(msg.to,"Removed all chat Finish") elif "Gif gore" in msg.text: gif = ("https://media.giphy.com/media/l2JHVsQiOZrNMGzYs/giphy.gif","https://media.giphy.com/media/OgltQ2hbilzJS/200w.gif") gore = random.choice(gif) cl.sendGifWithURL(msg.to,gore) if op.type == 59: print op except Exception as error: print error if op.type == 55: print "[NOTIFIED_READ_MESSAGE]" try: if op.param1 in wait2['readPoint']: Nama = cl.getContact(op.param2).displayName if Nama in wait2['readMember'][op.param1]: pass else: wait2['readMember'][op.param1] += "\n-> " + Nama wait2['ROM'][op.param1][op.param2] = "-> " + Nama wait2['setTime'][msg.to] = datetime.today().strftime('%Y-%m-%d %H:%M:%S') else: cl.sendText except: pass if op.type == 59: print op except Exception as error: print error def a2(): now2 = datetime.now() nowT = datetime.strftime(now2,"%M") if nowT[14:] in ["10","20","30","40","50","00"]: return False else: return True def nameUpdate(): while True: try: #while a2(): #pass if wait["clock"] == True: now2 = datetime.now() nowT = datetime.strftime(now2,"(%H:%M)") profile = cl.getProfile() profile.displayName = wait["cName"] + nowT cl.updateProfile(profile) time.sleep(600) except: pass thread2 = threading.Thread(target=nameUpdate) thread2.daemon = True thread2.start() def autolike(): count = 1 while True: try: for posts in cl.activity(1)["result"]["posts"]: if posts["postInfo"]["liked"] is False: if wait["likeOn"] == True: cl.like(posts["userInfo"]["writerMid"], posts["postInfo"]["postId"], 1001) print "Like" if wait["commentOn"] == True: if posts["userInfo"]["writerMid"] in wait["commentBlack"]: pass else: cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") print "Like" except: count += 1 if(count == 50): sys.exit(0) else: pass thread2 = threading.Thread(target=autolike) thread2.daemon = True thread2.start() def likefriend(): for zx in range(0,20): hasil = cl.activity(limit=20) if hasil['result']['posts'][zx]['postInfo']['liked'] == False: try: cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1001) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") print "Like" except: pass else: print "Already Liked Om" time.sleep(0.60) def likeme(): for zx in range(0,20): hasil = cl.activity(limit=20) if hasil['result']['posts'][zx]['postInfo']['liked'] == False: if hasil['result']['posts'][zx]['userInfo']['mid'] in mid: try: cl.like(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],likeType=1002) cl.comment(hasil['result']['posts'][zx]['userInfo']['mid'],hasil['result']['posts'][zx]['postInfo']['postId'],"Auto Like By Sain:\n\n🤖 ŤẸÃϻ ϻÃŇČỖЖ βỖŤ 🤖\n👉 line.me//ti/p/~tak.dapat.tidur") print "Like" except: pass else: print "Status Sudah di Like Om" while True: try: Ops = cl.fetchOps(cl.Poll.rev, 5) except EOFError: raise Exception("It might be wrong revision\n" + str(cl.Poll.rev)) for Op in Ops: if (Op.type != OpType.END_OF_OPERATION): cl.Poll.rev = max(cl.Poll.rev, Op.revision) bot(Op)

import os from unittest import TestCase from aibolit.patterns.joined_validation.joined_validation import JoinedValidation from pathlib import Path class TestJoinedValidation(TestCase): dir_path = Path(os.path.realpath(__file__)).parent pattern = JoinedValidation() def test_canFindSimpleJoinedValidation(self): file = Path(self.dir_path, 'SimpleJoinedValidation.java') self.assertEqual( [3], self.pattern.value(file), 'Could not find simple joined validation' ) def test_canFindJoinedValidationAndOr(self): file = Path(self.dir_path, 'JoinedValidationAndOr.java') self.assertEqual( [3], self.pattern.value(file), 'Could not find joined validation in AndOr condition' ) def test_canFindJoinedValidationOrAnd(self): file = Path(self.dir_path, 'JoinedValidationOrAnd.java') self.assertEqual( [3], self.pattern.value(file), 'Could not find joined validation in OrAnd condition' ) def test_canFindJoinedValidationOrOr(self): file = Path(self.dir_path, 'JoinedValidationOrOr.java') self.assertEqual( [3], self.pattern.value(file), 'Could not find joined validation in OrOr condition' ) def test_canFindJoinedValidationOrFunctionCall(self): file = Path(self.dir_path, 'JoinedValidationOrFunctionCall.java') self.assertEqual( [8], self.pattern.value(file), 'Could not find joined validation in function call' ) def test_canFindJoinedValidationOrFieldAccess(self): file = Path(self.dir_path, 'JoinedValidationOrFieldAccess.java') self.assertEqual( [6], self.pattern.value(file), 'Could not find joined validation in field access' ) def test_canFindNoBracketsJoinedValidation(self): file = Path(self.dir_path, 'NoBracketsJoinedValidation.java') self.assertEqual( [3], self.pattern.value(file), 'Could not find joined validation when using no brackets' ) def test_canSkipEmptyJoinedValidation(self): file = Path(self.dir_path, 'EmptyJoinedValidation.java') self.assertEqual( [], self.pattern.value(file), 'Could not skip empty joined validation' ) def test_canSkipNoJoinedValidation(self): file = Path(self.dir_path, 'NoJoinedValidation.java') self.assertEqual( [], self.pattern.value(file), 'Could not skip when there is no joined validation' )

from .openFilePathAndSelect import *

from soykeyword.proportion import CorpusbasedKeywordExtractor corpusbased_extractor = CorpusbasedKeywordExtractor( min_tf=20, min_df=2, tokenize=lambda x:x.strip().split(), verbose=True ) # docs: list of str like f=open('text/news/input5-1.txt','r') lines="" while True: line = f.readline() if not line: break lines+=line docs=corpusbased_extractor.train(lines) keywords = corpusbased_extractor.extract_from_docs( docs, min_score=0.8, ) print(keywords)

import tweepy, facebook def twitter_auth(): """OAuth procedure for the Twitter API""" consumer_key = '8U4SH1S8MqMlxFASj6GlgeobL' consumer_secret = 'iHGgrHBnGJJhnLfH7g2ZaggAwuun2QuNEspvg2ftUD4Ij6UnTp' access_token = '928672057042391043-Niz2uWC8iXeXepr0NVn8GEzZ8yh5gDG' access_token_secret = 'DSIXLThko0e0Dcem7OGsa1ht2zpR2oZbZM4dxcSn9lHLr' auth = tweepy.OAuthHandler(consumer_key, consumer_secret) auth.set_access_token(access_token, access_token_secret) api = tweepy.API(auth) return api def facebook_auth(): """OAuth procedure for Twitter API Long-lived access_token obtained via: https://graph.facebook.com/v2.11/oauth/access_token?grant_type=fb_exchange_token&client_id={page_id}&client_secret={app_secret}&fb_exchange_token={short-lived token}""" cfg = { "page_id": "128390027869974", "access_token": "EAAFQgmJkMMMBAFypMLjn9R8mJZCUFoZCchyXu1RnqEHApiOoK30G8vPZCUzKjC8mSGkZCekOuq5PVmIpsRPUegUmZAzLmSshDps6S6b08StDNRaz4PLdZBfLbp6Huss0k7iSgCodQyo9Tv0f9kd7I2w0nWIvyAeZCCq4ensTzWWlDl0xxNjyj9vnF9jSx4mPjoZD" # long-lived token for 2 months from Nov 19 2017 } return facebook.GraphAPI(access_token = cfg['access_token'])

import os import sys import io import pytz import yaml from datetime import datetime import rx from rx import operators as ops from concurrent.futures import ProcessPoolExecutor from urllib.request import urlopen from csv import DictReader from functools import partial from collections import namedtuple from rich import print from rich.progress import Progress from rich.progress import TextColumn, TimeElapsedColumn, SpinnerColumn from histdatacom.fx_enums import TimeFormat from histdatacom.utils import get_csv_dialect from histdatacom.concurrency import get_pool_cpu_count from histdatacom.concurrency import ProcessPool from histdatacom.concurrency import InfluxDBWriter from histdatacom.api import _API class _Influx(): def __init__(self, args, records_current_, records_next_, csv_chunks_queue_): self.args = args global records_current records_current = records_current_ global records_next records_next = records_next_ global csv_chunks_queue csv_chunks_queue = csv_chunks_queue_ def init_counters(self, csv_chunks_queue_, records_current_, records_next_, args_): global csv_chunks_queue csv_chunks_queue = csv_chunks_queue_ global records_current records_current = records_current_ global records_next records_next = records_next_ global args args = args_ def parse_csv_row(self, row, record): # line protocol example: myMeasurement,tag1=value1,tag2=value2 fieldKey="fieldValue" 1556813561098000000 measurement = f"{record.data_fxpair}" tags = f"source=histdata.com,format={record.data_format},timeframe={record.data_timeframe}".replace(" ", "") time = self.convert_datetime_to_utc_timestamp(record.data_format, record.data_timeframe, row) match record.data_timeframe: case "M1": fields = f"openbid={row['openBid']},highbid={row['highBid']},lowbid={row['lowBid']},closebid={row['closeBid']}".replace(" ", "") case "T": fields = f"bidquote={row['bidQuote']},askquote={row['askQuote']}".replace(" ", "") line_protocol = f"{measurement},{tags} {fields} {time}" return line_protocol def parse_csv_rows(self, rows, record): mapfunc = partial(self.parse_csv_row, record=record) _parsed_rows = list(map(mapfunc, rows)) csv_chunks_queue.put(_parsed_rows) def parse_jay_row(self, row, record): measurement = f"{record.data_fxpair}" tags = f"source=histdata.com,format={record.data_format},timeframe={record.data_timeframe}".replace(" ", "") match record.data_timeframe: case "M1": _row = namedtuple('_row', ['datetime', 'open', 'high', 'low', 'close', 'vol']) named_row = _row(row[0], row[1], row[2], row[3], row[4], row[5]) fields = f"openbid={named_row.open},highbid={named_row.high},lowbid={named_row.low},closebid={named_row.close}".replace(" ", "") time = str(named_row.datetime) case "T": _row = namedtuple('_row', ['datetime','bid','ask','vol']) named_row = _row(row[0], row[1], row[2], row[3]) fields = f"bidquote={named_row.bid},askquote={named_row.ask}".replace(" ", "") time = str(named_row.datetime) line_protocol = f"{measurement},{tags} {fields} {time}" return line_protocol def parse_jay_rows(self, iterable, record): mapfunc = partial(self.parse_jay_row, record=record) _parsed_rows = list(map(mapfunc, iterable)) csv_chunks_queue.put(_parsed_rows) def import_file(self, record, args, records_current, records_next, csv_chunks_queue): try: if str.lower(record.data_format) == "ascii": jay_path = f"{record.data_dir}.data" if os.path.exists(jay_path): self.import_jay(record, args, records_current, records_next, csv_chunks_queue) elif "CSV" in record.status: if "ZIP" in record.status: _API.test_for_jay_or_create(record, args) self.import_jay(record, args, records_current, records_next, csv_chunks_queue) else: self.import_csv(record, args, records_current, records_next, csv_chunks_queue) records_next.put(record) except Exception: print("Unexpected error from here:", sys.exc_info()) record.delete_into_file() raise finally: records_current.task_done() def import_jay(self, record, args, records_current, records_next, csv_chunks_queue): jay = _API.import_jay_data(record.data_dir + record.jay_filename) with ProcessPoolExecutor(max_workers=2, initializer=self.init_counters, initargs=(csv_chunks_queue, records_current, records_next, self.args.copy())) as executor: data = rx.from_iterable(jay.to_tuples()) \ .pipe(ops.buffer_with_count(25_000), ops.flat_map( lambda rows: executor.submit(self.parse_jay_rows, rows, record))) data.subscribe( on_next=lambda x: None, on_error=lambda er: print(f"Unexpected error: {er}")) record.status = "INFLUX_UPLOAD" record.write_info_file(base_dir=args['default_download_dir']) def import_csv(self, record, args, records_current, records_next, csv_chunks_queue): csv_path = record.data_dir + record.csv_filename file_endpoint = f"file://{record.data_dir}{record.csv_filename}" res = urlopen(file_endpoint) io_wrapper = io.TextIOWrapper(res) with ProcessPoolExecutor(max_workers=2, initializer=self.init_counters, initargs=(csv_chunks_queue, records_current, records_next, self.args.copy())) as executor: fieldnames = self.fieldnames_match(record.data_format, record.data_timeframe) dialect = get_csv_dialect(csv_path) data = rx.from_iterable( DictReader(io_wrapper, fieldnames=fieldnames, dialect=dialect)) \ .pipe( ops.buffer_with_count(25_000), ops.flat_map( lambda rows: executor.submit(self.parse_csv_rows, rows, record))) data.subscribe( on_next=lambda x: None, on_error=lambda er: print(f"Unexpected error: {er}")) os.remove(csv_path) record.status = "INFLUX_UPLOAD" record.write_info_file(base_dir=args['default_download_dir']) def import_data(self, records_current, records_next, csv_chunks_queue): writer = InfluxDBWriter(self.args, csv_chunks_queue) writer.start() pool = ProcessPool(self.import_file, self.args, "Adding", "CSVs to influx queue...", get_pool_cpu_count(self.args['cpu_utilization']) - 1\ if get_pool_cpu_count(self.args['cpu_utilization']) >= 2 \ else 1, join=False, dump=False) pool(records_current, records_next, csv_chunks_queue) with Progress(TextColumn(text_format="[cyan]...finishing upload to influxdb"), SpinnerColumn(), SpinnerColumn(), SpinnerColumn(), TimeElapsedColumn()) as progress: task_id = progress.add_task("waiting", total=0) records_current.join() csv_chunks_queue.put(None) csv_chunks_queue.join() progress.advance(task_id, 0.75) print("[cyan] done.") records_next.dump_to_queue(records_current) @classmethod def load_influx_yaml(cls): if os.path.exists('influxdb.yaml'): with open('influxdb.yaml', 'r') as file: try: yamlfile = yaml.safe_load(file) except yaml.YAMLError as exc: print(exc) sys.exit() return yamlfile print(""" ERROR: -I flag is used to import data to a influxdb instance... there is no influxdb.yaml file in working directory. did you forget to set it up? """) sys.exit() @classmethod def fieldnames_match(cls, csv_format, timeframe): try: match csv_format: case "ASCII" if timeframe == "M1": fieldnames = ["msSinceEpochUTC", "openBid", "highBid", "lowBid", "closeBid", "Volume"] case "ASCII" if timeframe == "T": fieldnames = ["msSinceEpochUTC", "bidQuote", "askQuote", "Volume"] case _: raise ValueError("Invalid format for influx import") return fieldnames except ValueError as err: print(err) sys.exit() @classmethod def get_timeformat(cls, csv_format, timeframe): format_enum_key = f'{str(csv_format)}_{str(timeframe)}' return TimeFormat[format_enum_key].value @classmethod def convert_datetime_to_utc_timestamp(cls, csv_format, timeframe, row): est_timestamp = row["msSinceEpochUTC"] date_object = datetime.strptime(est_timestamp, cls.get_timeformat(csv_format, timeframe)) tz_date_object = date_object.replace(tzinfo=pytz.timezone("Etc/GMT-5")) timestamp = int(tz_date_object.timestamp() * 1000) return str(timestamp)

from typing import Optional from fastapi import FastAPI import requests import json import mail def get_token(): with open('config.json') as config_file: config = json.load(config_file) token = config.get('token') return token def get_status(url): r = requests.get(url, allow_redirects=False, verify=False) return r.status_code def get_url(): stat_list = [] with open('web.json') as data_file: data = json.load(data_file) url = data.get('url') for u in url: print(u) try: status = get_status(u) except requests.exceptions.RequestException as e: stat = {'url': u, 'status': 408, 'msg': 'false'} stat_list.append(stat) continue if status == 200 or status == 302 or status == 301: a = "true" stat = {'url': u, 'status': status, 'msg': a} stat_list.append(stat) else: a = "false" stat = {'url': u, 'status': status, 'msg': a} stat_list.append(stat) return stat_list app = FastAPI() @app.get("/{token}") def read_root(token: Optional[str] = None): true_token = get_token() if token == true_token: message = get_url() return {"message": message} else: return {"message": "Token is not true"} @app.get("/mail/{token}") def read_root(token: Optional[str] = None): true_token = get_token() if token == true_token: massage = mail.result() return {"message": massage} else: return {"message": "Token is not true"}

from django.conf.urls import include from django.conf.urls import url from rest_framework import routers from .api import DataStoreViewset router = routers.SimpleRouter() router.register(r'datastore', DataStoreViewset, base_name='datastore') urlpatterns = [ url(r'^', include(router.urls)), ]

# encoding: utf-8 """ Enable pyglet to be used interacive by setting PyOS_InputHook. Authors ------- * Nicolas P. Rougier * Fernando Perez """ #----------------------------------------------------------------------------- # Copyright (C) 2008-2011 The IPython Development Team # # Distributed under the terms of the BSD License. The full license is in # the file COPYING, distributed as part of this software. #----------------------------------------------------------------------------- # This has been modified from the Pyglet and GLUT event hooks to work with # glfw. #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- import os import sys import time #----------------------------------------------------------------------------- # Platform-dependent imports and functions #----------------------------------------------------------------------------- if os.name == 'posix': import select def stdin_ready(): infds, outfds, erfds = select.select([sys.stdin],[],[],0) if infds: return True else: return False elif sys.platform == 'win32': import msvcrt def stdin_ready(): return msvcrt.kbhit() #----------------------------------------------------------------------------- # Code #----------------------------------------------------------------------------- def create_inputhook_glfw(mgr, render_loop): """Run the GLFW event loop by processing pending events only. This keeps processing pending events until stdin is ready. After processing all pending events, a call to time.sleep is inserted. This is needed, otherwise, CPU usage is at 100%. This sleep time should be tuned though for best performance. """ def inputhook_glfw(): # We need to protect against a user pressing Control-C when IPython is # idle and this is running. We trap KeyboardInterrupt and pass. import cyglfw3 as glfw try: t = glfw.GetTime() while not stdin_ready(): render_loop.next() used_time = glfw.GetTime() - t if used_time > 10.0: # print 'Sleep for 1 s' # dbg time.sleep(1.0) elif used_time > 0.1: # Few GUI events coming in, so we can sleep longer # print 'Sleep for 0.05 s' # dbg time.sleep(0.05) else: # Many GUI events coming in, so sleep only very little time.sleep(0.001) except KeyboardInterrupt: pass return 0 return inputhook_glfw from IPython.lib.inputhook import inputhook_manager, InputHookBase @inputhook_manager.register('glfw') class GLFWInputHook(InputHookBase): def enable(self, app=None): """Enable event loop integration with GLFW. Parameters ---------- app : ignored Ignored, it's only a placeholder to keep the call signature of all gui activation methods consistent, which simplifies the logic of supporting magics. Notes ----- This methods sets the ``PyOS_InputHook`` for GLFW, which allows GLFW to integrate with terminal based applications like IPython. """ inputhook_glfw = create_inputhook_glfw(self.manager, app) self.manager.set_inputhook(inputhook_glfw) return

from systemofrecord.repository import blockchain_object_repository from systemofrecord.repository.message_id_validator import InvalidTitleIdException from tests.system_of_record_message_fixtures import * from datatypes import system_of_record_request_validator from datatypes.core import unicoded from tests.teardown_unittest import TeardownUnittest from datatypes.exceptions import DataDoesNotMatchSchemaException test_object_id = valid_system_of_record_input_message_with_two_tags['object']['object_id'] class BlockchainObjectRepositoryTestCase(TeardownUnittest): def test_can_store_object_data(self): blockchain_object_repository.store_object( object_id=test_object_id, data=valid_system_of_record_input_message_with_two_tags) loaded_object = blockchain_object_repository.load_most_recent_object_with_id(test_object_id) self.check_loaded_object(unicoded(loaded_object.as_dict())) def test_can_store_object_with_chains(self): blockchain_object_repository.store_object( object_id=test_object_id, data=valid_system_of_record_input_message_with_two_tags) loaded_object = blockchain_object_repository.load_most_recent_object_with_id(test_object_id) self.check_loaded_object(unicoded(loaded_object.as_dict())) self.check_chains_are_equal( loaded_object, valid_system_of_record_input_message_with_two_tags['object']['chains']) def test_adding_new_object_with_same_id_can_load_most_recent_object(self): blockchain_object_repository.store_object( object_id=test_object_id, data=valid_system_of_record_input_message_with_two_tags) loaded_first_object = blockchain_object_repository.load_most_recent_object_with_id(test_object_id) blockchain_object_repository.store_object( object_id=test_object_id, data=valid_system_of_record_input_message_with_two_tags) loaded_second_object = blockchain_object_repository.load_most_recent_object_with_id(test_object_id) self.assertNotEquals(loaded_first_object.blockchain_index, loaded_second_object.blockchain_index) self.assertGreater(loaded_second_object.blockchain_index, loaded_first_object.blockchain_index) def test_cannot_store_object_with_the_same_tag_and_value_pair_twice(self): self.assertRaises(DataDoesNotMatchSchemaException, blockchain_object_repository.store_object, test_object_id, invalid_message_with_duplicate_tag_value) self.assertRaises(DataDoesNotMatchSchemaException, blockchain_object_repository.store_object, test_object_id, another_invalid_message_with_duplicate_tag_value) def test_cannot_store_title_with_title_id_not_matching_json_payload(self): self.assertRaises(InvalidTitleIdException, blockchain_object_repository.store_object, "foo", valid_system_of_record_input_message_with_two_tags) def check_chains_are_equal(self, loaded_data, expected_chains): self.assertEqual(len(loaded_data.chains), len(expected_chains)) for expected_chain in expected_chains: found_chain = 0 for maybe_chain in loaded_data.as_dict()['object']['chains']: if (maybe_chain['chain_name'] == expected_chain['chain_name']) and \ (maybe_chain['chain_value'] == expected_chain['chain_value']): found_chain = 1 if not found_chain: self.fail("Could not find chain " + repr(expected_chain)) def check_loaded_object(self, loaded_data): self.assertIsNotNone(loaded_data) system_of_record_request_validator.validate(loaded_data) self.assertEquals(loaded_data['object']['object_id'], test_object_id)

# -*- coding: utf-8 -*- # Copyright 2021, CS GROUP - France, https://www.csgroup.eu/ # # This file is part of EODAG project # https://www.github.com/CS-SI/EODAG # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import unittest from tests import TEST_RESOURCES_PATH from tests.context import ( EODataAccessGateway, FilterDate, FilterLatestByName, FilterOverlap, FilterProperty, SearchResult, ) class TestSearchStacStatic(unittest.TestCase): def setUp(self): super(TestSearchStacStatic, self).setUp() self.dag = EODataAccessGateway() self.cat_dir_path = self.root_cat = os.path.join(TEST_RESOURCES_PATH, "stac") self.root_cat = os.path.join(self.cat_dir_path, "catalog.json") self.root_cat_len = 5 self.child_cat = os.path.join( self.cat_dir_path, "country", "FRA", "year", "2018", "2018.json" ) self.child_cat_len = 2 self.item = os.path.join( os.path.dirname(self.child_cat), "items", "S2A_MSIL1C_20181231T141041_N0207_R110_T21NYF_20181231T155050", "S2A_MSIL1C_20181231T141041_N0207_R110_T21NYF_20181231T155050.json", ) self.singlefile_cat = os.path.join(TEST_RESOURCES_PATH, "stac_singlefile.json") self.singlefile_cat_len = 5 self.stac_provider = "astraea_eod" self.product_type = "S2_MSI_L1C" self.extent_big = {"lonmin": -55, "lonmax": -53, "latmin": 2, "latmax": 5} self.extent_small = {"lonmin": -55, "lonmax": -54.5, "latmin": 2, "latmax": 2.5} self.static_stac_provider = "foo_static" self.dag.update_providers_config( f""" {self.static_stac_provider}: search: type: StaticStacSearch api_endpoint: {self.root_cat} products: GENERIC_PRODUCT_TYPE: productType: '{{productType}}' download: type: HTTPDownload base_uri: https://fake-endpoint flatten_top_dirs: True """ ) self.dag.set_preferred_provider(self.static_stac_provider) def test_search_stac_static_load_child(self): """load_stac_items from child catalog must provide items""" items = self.dag.load_stac_items( self.child_cat, recursive=True, provider=self.stac_provider ) self.assertIsInstance(items, SearchResult) self.assertEqual(len(items), self.child_cat_len) self.assertEqual(items[0].provider, self.stac_provider) # if no product_type is provided, product_type should be guessed from properties self.assertEqual(items[0].product_type, "S2_MSI_L1C") def test_search_stac_static_load_root_not_recursive(self): """load_stac_items from root must provide an empty list when no recursive""" items = self.dag.load_stac_items( self.root_cat, recursive=False, provider=self.stac_provider ) self.assertEqual(len(items), 0) def test_search_stac_static_load_root_recursive(self): """load_stac_items from root must provide items when recursive""" items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, ) self.assertEqual(len(items), self.root_cat_len) for item in items: self.assertEqual(item.provider, self.stac_provider) self.assertEqual(item.product_type, self.product_type) def test_search_stac_static(self): """Use StaticStacSearch plugin to search all items""" items, nb = self.dag.search() self.assertEqual(len(items), self.root_cat_len) self.assertEqual(nb, self.root_cat_len) for item in items: self.assertEqual(item.provider, self.static_stac_provider) def test_search_stac_static_load_item(self): """load_stac_items from a single item must provide it""" item = self.dag.load_stac_items(self.item, provider=self.stac_provider) self.assertIsInstance(item, SearchResult) self.assertEqual(len(item), 1) self.assertEqual(item[0].provider, self.stac_provider) # if no product_type is provided, product_type should be guessed from properties self.assertEqual(item[0].product_type, "S2_MSI_L1C") def test_search_stac_static_load_item_updated_provider(self): """load_stac_items from a single item using updated provider""" item = self.dag.load_stac_items(self.item, provider=self.stac_provider) self.assertEqual(item[0].properties["license"], "proprietary") self.assertEqual(item[0].properties["platform"], "S2ST") self.assertEqual(item[0].properties["orbitDirection"], "descending") self.assertNotIn("foo", item[0].properties) # fake provider with mixed metadata_mapping self.dag.update_providers_config( """ fake_provider: search: type: StacSearch api_endpoint: 'https://fake-endpoint' metadata_mapping: license: '{platform}' foo: '{orbitDirection}' products: GENERIC_PRODUCT_TYPE: productType: '{productType}' download: type: HTTPDownload base_uri: 'https://fake-uri' """ ) item = self.dag.load_stac_items( self.item, provider="fake_provider", raise_errors=True ) self.assertEqual(item[0].properties["platform"], "S2ST") self.assertEqual(item[0].properties["license"], "S2ST") self.assertEqual(item[0].properties["orbitDirection"], "descending") self.assertIn("foo", item[0].properties) self.assertEqual(item[0].properties["foo"], "descending") @unittest.skip( "skipped as single-file-stac has been removed and is being rethought" ) def test_search_stac_static_load_singlefile_catalog(self): """load_stac_items from child catalog must provide items""" items = self.dag.load_stac_items( self.singlefile_cat, provider=self.stac_provider ) self.assertIsInstance(items, SearchResult) self.assertEqual(len(items), self.singlefile_cat_len) self.assertEqual(items[0].provider, self.stac_provider) # if no product_type is provided, product_type is None self.assertIsNone(items[0].product_type) def test_search_stac_static_crunch_filter_date(self): """load_stac_items from root and filter by date""" items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, ) filtered_items = items.crunch( FilterDate({"start": "2018-01-01", "end": "2019-01-01"}) ) self.assertEqual(len(filtered_items), self.child_cat_len) for item in filtered_items: self.assertIn("2018", item.properties["startTimeFromAscendingNode"]) def test_search_stac_static_by_date(self): """Use StaticStacSearch plugin to search by date""" filtered_items, nb = self.dag.search(start="2018-01-01", end="2019-01-01") self.assertEqual(len(filtered_items), self.child_cat_len) self.assertEqual(nb, self.child_cat_len) for item in filtered_items: self.assertIn("2018", item.properties["startTimeFromAscendingNode"]) def test_search_stac_static_crunch_filter_overlap(self): """load_stac_items from root and filter by overlap""" # tests over extent_big search geometry items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, geom=self.extent_big, ) self.assertEqual(len(items), self.root_cat_len) filtered_items = items.crunch( FilterOverlap({"minimum_overlap": 10}), geometry=self.extent_big ) self.assertEqual(len(filtered_items), 3) filtered_items = items.crunch( FilterOverlap({"minimum_overlap": 100}), geometry=self.extent_big ) self.assertEqual(len(filtered_items), 1) filtered_items = items.crunch( FilterOverlap({"within": True}), geometry=self.extent_big ) self.assertEqual(len(filtered_items), 1) filtered_items = items.crunch( FilterOverlap({"contains": True}), geometry=self.extent_big ) self.assertEqual(len(filtered_items), 0) filtered_items = items.crunch( FilterOverlap({"intersects": True}), geometry=self.extent_big ) self.assertEqual(len(filtered_items), 3) # tests over extent_small search geometry items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, geom=self.extent_small, ) self.assertEqual(len(items), self.root_cat_len) filtered_items = items.crunch( FilterOverlap({"contains": True}), geometry=self.extent_small ) self.assertEqual(len(filtered_items), 1) def test_search_stac_static_by_geom(self): """Use StaticStacSearch plugin to search by geometry""" items, nb = self.dag.search( geom=self.extent_big, ) self.assertEqual(len(items), 3) self.assertEqual(nb, 3) def test_search_stac_static_crunch_filter_property(self): """load_stac_items from root and filter by property""" items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, ) self.assertEqual(len(items), self.root_cat_len) filtered_items = items.crunch(FilterProperty({"orbitNumber": 110})) self.assertEqual(len(filtered_items), 3) filtered_items = items.crunch( FilterProperty({"platformSerialIdentifier": "S2A", "operator": "eq"}) ) self.assertEqual(len(filtered_items), 4) filtered_items = items.crunch( FilterProperty({"cloudCover": 10, "operator": "lt"}) ) self.assertEqual(len(filtered_items), 1) def test_search_stac_static_by_property(self): """Use StaticStacSearch plugin to search by property""" items, nb = self.dag.search(orbitNumber=110) self.assertEqual(len(items), 3) self.assertEqual(nb, 3) def test_search_stac_static_by_cloudcover(self): """Use StaticStacSearch plugin to search by cloud cover""" items, nb = self.dag.search(cloudCover=10) self.assertEqual(len(items), 1) self.assertEqual(nb, 1) def test_search_stac_static_crunch_filter_lastest_by_name(self): """load_stac_items from root and filter by name""" items = self.dag.load_stac_items( self.root_cat, recursive=True, provider=self.stac_provider, productType=self.product_type, ) self.assertEqual(len(items), self.root_cat_len) filtered_items = items.crunch( FilterLatestByName( {"name_pattern": r"S2[AB]_MSIL1C_20(?P<tileid>\d{6}).*T21NY.*"} ) ) self.assertEqual(len(filtered_items), 2)

from datetime import datetime from dependency_injector.wiring import inject, Provide from fastapi import Depends, FastAPI, Request from .configuration import WebhookGatewayConfig from .request import WebhookRequest from .routes.service import RouteService api = FastAPI() start_time = datetime.now() @api.post("/route/{route_name}") @inject async def dispatch( route_name: str, req: Request, routes: RouteService = Depends(Provide[WebhookGatewayConfig.routes_service]), ): wrapper_req = WebhookRequest(req) await wrapper_req.init() # Awaits request body call_results = routes.dispatch(route_name, wrapper_req) return {"route": route_name, "called_rules": [r.__dict__ for r in call_results]} @api.get("/status") @inject async def status( routes: RouteService = Depends(Provide[WebhookGatewayConfig.routes_service]), ): delta = datetime.now() - start_time delta_str_without_micros = str(delta).split(".")[0] return { "status": "available", "route_count": routes.route_count, "uptime": delta_str_without_micros, }

#!/usr/bin/env python import sys from collections import defaultdict import itertools from operator import itemgetter s = 0.005 outputLine = 30 C1 = defaultdict(int) L1 = set() C2 = defaultdict(int) L2 = set() C3 = defaultdict(int) L3 = defaultdict(int) fr = open('baskets', 'r') # Calculate C1 basketCount = 0 for line in fr: basket = line.strip() items = basket.split() for item in items: if item in C1: C1[item] += 1 else: C1[item] = 1 basketCount += 1 # Define support support = s * basketCount # Calculate L1 for item in C1: if C1[item] >= support: L1.add(item) # Calculate C2 for pair in itertools.combinations(sorted(L1), 2): C2[pair] = 0 fr.seek(0) for line in fr: basket = line.strip() items = basket.split() for pair in itertools.combinations(sorted(items), 2): if pair in C2: C2[pair] += 1 # Calculate L2 for pair in C2: if C2[pair] >= support: if pair[0] in L1 and pair[1] in L1: L2.add(pair) # Calculate C3 decomposed_L2 = set() for pair in L2: decomposed_L2.add(pair[0]) decomposed_L2.add(pair[1]) for triple in itertools.combinations(sorted(decomposed_L2), 3): C3[triple] = 0 fr.seek(0) for line in fr: basket = line.strip() items = basket.split() for triple in itertools.combinations(sorted(items), 3): if triple in C3: C3[triple] += 1 # Calculate L3 for triple in C3: if C3[triple] >= support: L3[triple] = C3[triple] for triple in sorted(L3.items(), key=itemgetter(1), reverse=True): print triple[0][0], triple[0][1], triple[0][2] outputLine -= 1 if not outputLine: break

#===- enumerations.py - Python Enumerations ------------------*- python -*--===# # # The LLVM37 Compiler Infrastructure # # This file is distributed under the University of Illinois Open Source # License. See LICENSE.TXT for details. # #===------------------------------------------------------------------------===# """ Clang Enumerations ================== This module provides static definitions of enumerations that exist in libclang. Enumerations are typically defined as a list of tuples. The exported values are typically munged into other types or classes at module load time. All enumerations are centrally defined in this file so they are all grouped together and easier to audit. And, maybe even one day this file will be automatically generated by scanning the libclang headers! """ # Maps to CXTokenKind. Note that libclang maintains a separate set of token # enumerations from the C++ API. TokenKinds = [ ('PUNCTUATION', 0), ('KEYWORD', 1), ('IDENTIFIER', 2), ('LITERAL', 3), ('COMMENT', 4), ] __all__ = ['TokenKinds']

# This file is part of Indico. # Copyright (C) 2002 - 2021 CERN # # Indico is free software; you can redistribute it and/or # modify it under the terms of the MIT License; see the # LICENSE file for more details. from __future__ import unicode_literals from wtforms import BooleanField, StringField from wtforms.fields.html5 import EmailField from wtforms.validators import DataRequired, Email from indico.util.i18n import _ from indico.web.forms.base import IndicoForm from indico.web.forms.validators import UsedIfChecked from indico.web.forms.widgets import SwitchWidget class CephalopodForm(IndicoForm): joined = BooleanField('Join the community', widget=SwitchWidget()) contact_name = StringField('Contact Name', [UsedIfChecked('joined'), DataRequired()], description=_('Name of the person responsible for your Indico server.')) contact_email = EmailField('Contact Email', [UsedIfChecked('joined'), DataRequired(), Email()], description=_('Email address of the person responsible for your Indico server.'))

import rospy import subprocess import threading import re from lg_common.msg import WindowGeometry import awesome class ManagedWindow(object): def __init__(self, w_name=None, w_class=None, w_instance=None, geometry=None, visible=True, chrome_kiosk_workaround=False): self.w_name = w_name self.w_class = w_class self.w_instance = w_instance self.geometry = geometry self.is_visible = visible self.chrome_kiosk_workaround = chrome_kiosk_workaround self.lock = threading.RLock() self.proc = None rospy.on_shutdown(self._cleanup_proc) @staticmethod def parse_geometry(geometry): """ Parses Xorg window geometry in the form WxH[+-]X[+-]Y Raises ValueError if the geometry string is invalid. """ m = re.match(r'^(\d+)x(\d+)([+-]\d+)([+-]\d+)$', geometry) if m is None: raise ValueError( 'Invalid window geometry: {}'.format(geometry)) dims = map(int, m.groups()) return WindowGeometry(width=dims[0], height=dims[1], x=dims[2], y=dims[3]) @staticmethod def lookup_viewport_geometry(viewport_key): """ Looks up geometry for the given viewport name. Raises KeyError if the viewport is not configured. """ param_name = '/viewport/{}'.format(viewport_key) if not rospy.has_param(param_name): raise KeyError( 'Viewport parameter not set: {}'.format(param_name)) viewport_value = rospy.get_param(param_name) return ManagedWindow.parse_geometry(viewport_value) @staticmethod def get_viewport_geometry(): """ Returns WindowGeometry if the private '~viewport' param is set. Returns None if the private '~viewport' param is not set. """ if rospy.has_param('~viewport'): viewport = rospy.get_param('~viewport') geometry = ManagedWindow.lookup_viewport_geometry(viewport) else: geometry = None return geometry def _get_command(self): with self.lock: cmd = [] cmd.append('echo "{}" | /usr/bin/awesome-client'.format( awesome.get_script(self, chrome_kiosk_workaround=self.chrome_kiosk_workaround) )) return cmd def _cleanup_proc(self): with self.lock: if self.proc is not None: self.proc.kill() def set_visibility(self, visible): with self.lock: self.is_visible = visible def set_geometry(self, geometry): with self.lock: self.geometry = geometry def converge(self): with self.lock: cmd = self._get_command() self._cleanup_proc() cmd_str = ' '.join(cmd) rospy.logdebug(cmd_str) try: awesome.setup_environ() except Exception as e: rospy.logerr( 'failed to setup awesome environment: {}'.format(e.message) ) try: self.proc = subprocess.Popen(cmd, close_fds=True, shell=True) self.proc.wait() self.proc = None except OSError: rospy.logerr('failed to run {}'.format(cmd_str)) # vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4

from pydantic import BaseModel, Field from .value_objects import UUID from .mixins import BusinessRuleValidationMixin class Entity(BusinessRuleValidationMixin, BaseModel): id: UUID = Field(default_factory=UUID.v4)

#!/usr/bin/env python # # Licensed under the Apache License, Version 2.0 (the "License"); # You may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0OA # # Authors: # - Wen Guan, <wen.guan@cern.ch>, 2019 import datetime from traceback import format_exc from flask import Blueprint from idds.common import exceptions from idds.common.constants import HTTP_STATUS_CODE from idds.core.requests import get_requests from idds.rest.v1.controller import IDDSController class Monitor(IDDSController): """ Monitor """ def get_month_list(self, start, end): mlist = [] total_months = lambda dt: dt.month + 12 * dt.year for tot_m in range(total_months(start) - 1, total_months(end)): y, m = divmod(tot_m, 12) mlist.append(datetime.datetime(y, m + 1, 1).strftime("%Y-%m")) return mlist def get_requests(self, request_id, workload_id, with_request=False, with_transform=False, with_processing=False): if with_request: rets, ret_reqs = [], {} reqs = get_requests(request_id=request_id, workload_id=workload_id, with_detail=True, with_processing=False, with_metadata=False) for req in reqs: if req['request_id'] not in ret_reqs: ret_reqs[req['request_id']] = {'request_id': req['request_id'], 'workload_id': req['workload_id'], 'status': req['status'].name if req['status'] else req['status'], 'created_at': req['created_at'], 'updated_at': req['updated_at'], 'transforms': {}, 'input_total_files': 0, 'input_coll_bytes': 0, 'input_processed_files': 0, 'input_processing_files': 0, 'output_total_files': 0, 'output_coll_bytes': 0, 'output_processed_files': 0, 'output_processing_files': 0 } if req['transform_status']: if req['transform_status'].name not in ret_reqs[req['request_id']]['transforms']: ret_reqs[req['request_id']]['transforms'][req['transform_status'].name] = 0 ret_reqs[req['request_id']]['transforms'][req['transform_status'].name] += 1 if req['input_total_files']: ret_reqs[req['request_id']]['input_total_files'] += req['input_total_files'] if req['input_coll_bytes']: ret_reqs[req['request_id']]['input_coll_bytes'] += req['input_coll_bytes'] if req['input_processed_files']: ret_reqs[req['request_id']]['input_processed_files'] += req['input_processed_files'] if req['input_processing_files']: ret_reqs[req['request_id']]['input_processing_files'] += req['input_processing_files'] if req['output_total_files']: ret_reqs[req['request_id']]['output_total_files'] += req['output_total_files'] if req['output_coll_bytes']: ret_reqs[req['request_id']]['output_coll_bytes'] += req['output_coll_bytes'] if req['output_processed_files']: ret_reqs[req['request_id']]['output_processed_files'] += req['output_processed_files'] if req['output_processing_files']: ret_reqs[req['request_id']]['output_processing_files'] += req['output_processing_files'] for req_id in ret_reqs: rets.append(ret_reqs[req_id]) return rets elif with_transform: rets = [] reqs = get_requests(request_id=request_id, workload_id=workload_id, with_detail=True, with_processing=False, with_metadata=False) for req in reqs: ret = {'request_id': req['request_id'], 'transform_id': req['transform_id'], 'workload_id': req['workload_id'], 'transform_workload_id': req['transform_workload_id'], 'transform_type': req['transform_type'].name if req['transform_type'] else req['transform_type'], 'output_coll_scope': req['output_coll_scope'], 'output_coll_name': req['output_coll_name'], 'transform_status': req['transform_status'].name if req['transform_status'] else req['transform_status'], 'transform_created_at': req['transform_created_at'], 'transform_updated_at': req['transform_updated_at'], 'transform_finished_at': req['transform_finished_at'], 'input_total_files': req['input_total_files'] if req['input_total_files'] else 0, 'input_coll_bytes': req['input_coll_bytes'] if req['input_coll_bytes'] else 0, 'input_processed_files': req['input_processed_files'] if req['input_processed_files'] else 0, 'input_processing_files': req['input_processing_files'] if req['input_processing_files'] else 0, 'output_total_files': req['output_total_files'] if req['output_total_files'] else 0, 'output_coll_bytes': req['output_coll_bytes'] if req['output_coll_bytes'] else 0, 'output_processed_files': req['output_processed_files'] if req['output_processed_files'] else 0, 'output_processing_files': req['output_processing_files'] if req['output_processing_files'] else 0, 'errors': req['errors'] } rets.append(ret) return rets elif with_processing: rets = [] reqs = get_requests(request_id=request_id, workload_id=workload_id, with_detail=False, with_processing=True, with_metadata=False) for req in reqs: ret = {'request_id': req['request_id'], 'workload_id': req['workload_id'], 'processing_id': req['processing_id'], 'processing_status': req['processing_status'].name if req['processing_status'] else req['processing_status'], 'processing_created_at': req['processing_created_at'], 'processing_updated_at': req['processing_updated_at'], 'processing_finished_at': req['processing_finished_at'] } rets.append(ret) return rets else: rets = [] reqs = get_requests(request_id=request_id, workload_id=workload_id, with_detail=False, with_processing=False, with_metadata=False) for req in reqs: ret = {'request_id': req['request_id'], 'workload_id': req['workload_id'], 'status': req['status'].name if req['status'] else req['status'], 'created_at': req['created_at'], 'updated_at': req['updated_at'] } rets.append(ret) return rets def get(self, request_id, workload_id, with_request='false', with_transform='false', with_processing='false'): """ Get details about a specific Request with given id. HTTP Success: 200 OK HTTP Error: 404 Not Found 500 InternalError :returns: dictionary of an request. """ try: if request_id == 'null': request_id = None if workload_id == 'null': workload_id = None if with_request and with_request.lower() in ['true']: with_request = True else: with_request = False if with_transform and with_transform.lower() in ['true']: with_transform = True else: with_transform = False if with_processing and with_processing.lower() in ['true']: with_processing = True else: with_processing = False rets = self.get_requests(request_id=request_id, workload_id=workload_id, with_request=with_request, with_transform=with_transform, with_processing=with_processing) except exceptions.NoObject as error: return self.generate_http_response(HTTP_STATUS_CODE.NotFound, exc_cls=error.__class__.__name__, exc_msg=error) except exceptions.IDDSException as error: return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=error.__class__.__name__, exc_msg=error) except Exception as error: print(error) print(format_exc()) return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=exceptions.CoreException.__name__, exc_msg=error) return self.generate_http_response(HTTP_STATUS_CODE.OK, data=rets) def post_test(self): import pprint pprint.pprint(self.get_request()) pprint.pprint(self.get_request().endpoint) pprint.pprint(self.get_request().url_rule) class MonitorRequest(Monitor): """ Monitor Request """ def get(self, request_id, workload_id): """ Get details about a specific Request with given id. HTTP Success: 200 OK HTTP Error: 404 Not Found 500 InternalError :returns: dictionary of an request. """ try: if request_id == 'null': request_id = None if workload_id == 'null': workload_id = None rets = self.get_requests(request_id=request_id, workload_id=workload_id, with_request=False, with_transform=False, with_processing=False) status_dict = {'Total': {}} min_time, max_time = None, None for ret in rets: if ret['status'] not in status_dict: status_dict[ret['status']] = {} if min_time is None or ret['updated_at'] < min_time: min_time = ret['updated_at'] if max_time is None or ret['updated_at'] > max_time: max_time = ret['updated_at'] month_list = self.get_month_list(min_time, max_time) for key in status_dict: for m in month_list: status_dict[key][m] = 0 for ret in rets: m_time = ret['updated_at'].strftime(r"%Y-%m") status_dict['Total'][m_time] += 1 status_dict[ret['status']][m_time] += 1 status_dict_acc = {} for key in status_dict: status_dict_acc[key] = {} for i in range(len(month_list)): if i == 0: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] else: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] + status_dict_acc[key][month_list[i - 1]] ret_status = {'total': len(rets), 'month_status': status_dict, 'month_acc_status': status_dict_acc} except exceptions.NoObject as error: return self.generate_http_response(HTTP_STATUS_CODE.NotFound, exc_cls=error.__class__.__name__, exc_msg=error) except exceptions.IDDSException as error: return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=error.__class__.__name__, exc_msg=error) except Exception as error: print(error) print(format_exc()) return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=exceptions.CoreException.__name__, exc_msg=error) return self.generate_http_response(HTTP_STATUS_CODE.OK, data=ret_status) class MonitorTransform(Monitor): """ Monitor Transform """ def get(self, request_id, workload_id): """ Get details about a specific Request with given id. HTTP Success: 200 OK HTTP Error: 404 Not Found 500 InternalError :returns: dictionary of an request. """ try: if request_id == 'null': request_id = None if workload_id == 'null': workload_id = None rets = self.get_requests(request_id=request_id, workload_id=workload_id, with_request=False, with_transform=True, with_processing=False) status_dict = {'Total': {}} status_dict_by_type = {} processed_files, processed_bytes = {}, {} processed_files_by_type, processed_bytes_by_type = {}, {} min_time, max_time = None, None total_files, total_bytes = 0, 0 for ret in rets: if ret['transform_status'] and ret['transform_status'] not in status_dict: status_dict[ret['transform_status']] = {} if ret['transform_type'] and ret['transform_type'] not in status_dict_by_type: status_dict_by_type[ret['transform_type']] = {} processed_files_by_type[ret['transform_type']] = {} processed_bytes_by_type[ret['transform_type']] = {} if ret['transform_updated_at'] and (min_time is None or ret['transform_updated_at'] < min_time): min_time = ret['transform_updated_at'] if ret['transform_updated_at'] and (max_time is None or ret['transform_updated_at'] > max_time): max_time = ret['transform_updated_at'] month_list = self.get_month_list(min_time, max_time) for key in status_dict: processed_files[key] = {} processed_bytes[key] = {} for t_type in status_dict_by_type: status_dict_by_type[t_type][key] = {} processed_files_by_type[t_type][key] = {} processed_bytes_by_type[t_type][key] = {} for m in month_list: status_dict[key][m] = 0 processed_files[key][m] = 0 processed_bytes[key][m] = 0 for t_type in status_dict_by_type: status_dict_by_type[t_type][key][m] = 0 processed_files_by_type[t_type][key][m] = 0 processed_bytes_by_type[t_type][key][m] = 0 for ret in rets: if not ret['transform_updated_at']: continue m_time = ret['transform_updated_at'].strftime(r"%Y-%m") status_dict['Total'][m_time] += 1 status_dict[ret['transform_status']][m_time] += 1 processed_files[ret['transform_status']][m_time] += ret['output_processed_files'] # processed_bytes[ret['transform_status']][m_time] += ret['output_coll_bytes'] # output_coll_bytes is not filled, need to be fixed on the server processed_bytes[ret['transform_status']][m_time] += ret['input_coll_bytes'] processed_files['Total'][m_time] += ret['output_processed_files'] # processed_bytes['Total'][m_time] += ret['output_coll_bytes'] processed_bytes['Total'][m_time] += ret['input_coll_bytes'] total_files += ret['output_processed_files'] total_bytes += ret['output_coll_bytes'] total_bytes += ret['input_coll_bytes'] t_type = ret['transform_type'] status_dict_by_type[t_type][ret['transform_status']][m_time] += 1 processed_files_by_type[t_type][ret['transform_status']][m_time] += ret['output_processed_files'] # processed_bytes_by_type[t_type][ret['transform_status']][m_time] += ret['output_coll_bytes'] processed_bytes_by_type[t_type][ret['transform_status']][m_time] += ret['input_coll_bytes'] status_dict_by_type[t_type]['Total'][m_time] += 1 processed_files_by_type[t_type]['Total'][m_time] += ret['output_processed_files'] # processed_bytes_by_type[t_type]['Total'][m_time] += ret['output_coll_bytes'] processed_bytes_by_type[t_type]['Total'][m_time] += ret['input_coll_bytes'] status_dict_acc = {} processed_files_acc, processed_bytes_acc = {}, {} status_dict_by_type_acc = {} processed_files_by_type_acc = {} processed_bytes_by_type_acc = {} for t_type in status_dict_by_type: status_dict_by_type_acc[t_type] = {} processed_files_by_type_acc[t_type] = {} processed_bytes_by_type_acc[t_type] = {} for key in status_dict: status_dict_acc[key] = {} processed_files_acc[key] = {} processed_bytes_acc[key] = {} for t_type in status_dict_by_type: status_dict_by_type_acc[t_type][key] = {} processed_files_by_type_acc[t_type][key] = {} processed_bytes_by_type_acc[t_type][key] = {} for i in range(len(month_list)): if i == 0: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] processed_files_acc[key][month_list[i]] = processed_files[key][month_list[i]] processed_bytes_acc[key][month_list[i]] = processed_bytes[key][month_list[i]] for t_type in status_dict_by_type_acc: status_dict_by_type_acc[t_type][key][month_list[i]] = status_dict_by_type[t_type][key][month_list[i]] processed_files_by_type_acc[t_type][key][month_list[i]] = processed_files_by_type[t_type][key][month_list[i]] processed_bytes_by_type_acc[t_type][key][month_list[i]] = processed_bytes_by_type[t_type][key][month_list[i]] else: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] + status_dict_acc[key][month_list[i - 1]] processed_files_acc[key][month_list[i]] = processed_files[key][month_list[i]] + processed_files_acc[key][month_list[i - 1]] processed_bytes_acc[key][month_list[i]] = processed_bytes[key][month_list[i]] + processed_bytes_acc[key][month_list[i - 1]] for t_type in status_dict_by_type_acc: status_dict_by_type_acc[t_type][key][month_list[i]] = status_dict_by_type[t_type][key][month_list[i]] + status_dict_by_type_acc[t_type][key][month_list[i - 1]] processed_files_by_type_acc[t_type][key][month_list[i]] = processed_files_by_type[t_type][key][month_list[i]] + processed_files_by_type_acc[t_type][key][month_list[i - 1]] processed_bytes_by_type_acc[t_type][key][month_list[i]] = processed_bytes_by_type[t_type][key][month_list[i]] + processed_bytes_by_type_acc[t_type][key][month_list[i - 1]] ret_status = {'total': len(rets), 'total_files': total_files, 'total_bytes': total_bytes, 'month_status': status_dict, 'month_acc_status': status_dict_acc, 'month_processed_files': processed_files, 'month_acc_processed_files': processed_files_acc, 'month_processed_bytes': processed_bytes, 'month_acc_processed_bytes': processed_bytes_acc, 'month_status_dict_by_type': status_dict_by_type, 'month_acc_status_dict_by_type': status_dict_by_type_acc, 'month_processed_files_by_type': processed_files_by_type, 'month_acc_processed_files_by_type': processed_files_by_type_acc, 'month_processed_bytes_by_type': processed_bytes_by_type, 'month_acc_processed_bytes_by_type': processed_bytes_by_type_acc } except exceptions.NoObject as error: return self.generate_http_response(HTTP_STATUS_CODE.NotFound, exc_cls=error.__class__.__name__, exc_msg=error) except exceptions.IDDSException as error: return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=error.__class__.__name__, exc_msg=error) except Exception as error: print(error) print(format_exc()) return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=exceptions.CoreException.__name__, exc_msg=error) return self.generate_http_response(HTTP_STATUS_CODE.OK, data=ret_status) class MonitorProcessing(Monitor): """ Monitor Processing """ def get(self, request_id, workload_id): """ Get details about a specific Request with given id. HTTP Success: 200 OK HTTP Error: 404 Not Found 500 InternalError :returns: dictionary of an request. """ try: if request_id == 'null': request_id = None if workload_id == 'null': workload_id = None rets = self.get_requests(request_id=request_id, workload_id=workload_id, with_request=False, with_transform=False, with_processing=True) status_dict = {'Total': {}} min_time, max_time = None, None for ret in rets: if ret['processing_status'] and ret['processing_status'] not in status_dict: status_dict[ret['processing_status']] = {} if ret['processing_updated_at'] and (min_time is None or ret['processing_updated_at'] < min_time): min_time = ret['processing_updated_at'] if ret['processing_updated_at'] and (max_time is None or ret['processing_updated_at'] > max_time): max_time = ret['processing_updated_at'] month_list = self.get_month_list(min_time, max_time) for key in status_dict: for m in month_list: status_dict[key][m] = 0 for ret in rets: if ret['processing_updated_at']: m_time = ret['processing_updated_at'].strftime(r"%Y-%m") status_dict['Total'][m_time] += 1 status_dict[ret['processing_status']][m_time] += 1 status_dict_acc = {} for key in status_dict: status_dict_acc[key] = {} for i in range(len(month_list)): if i == 0: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] else: status_dict_acc[key][month_list[i]] = status_dict[key][month_list[i]] + status_dict_acc[key][month_list[i - 1]] ret_status = {'total': len(rets), 'month_status': status_dict, 'month_acc_status': status_dict_acc} except exceptions.NoObject as error: return self.generate_http_response(HTTP_STATUS_CODE.NotFound, exc_cls=error.__class__.__name__, exc_msg=error) except exceptions.IDDSException as error: return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=error.__class__.__name__, exc_msg=error) except Exception as error: print(error) print(format_exc()) return self.generate_http_response(HTTP_STATUS_CODE.InternalError, exc_cls=exceptions.CoreException.__name__, exc_msg=error) return self.generate_http_response(HTTP_STATUS_CODE.OK, data=ret_status) """---------------------- Web service url maps ----------------------""" def get_blueprint(): bp = Blueprint('monitor', __name__) monitor_view = Monitor.as_view('monitor') bp.add_url_rule('/monitor/<request_id>/<workload_id>/<with_request>/<with_transform>/<with_processing>', view_func=monitor_view, methods=['get', ]) monitor_request_view = MonitorRequest.as_view('monitor_request') bp.add_url_rule('/monitor_request/<request_id>/<workload_id>', view_func=monitor_request_view, methods=['get', ]) monitor_transform_view = MonitorTransform.as_view('monitor_transform') bp.add_url_rule('/monitor_transform/<request_id>/<workload_id>', view_func=monitor_transform_view, methods=['get', ]) monitor_processing_view = MonitorProcessing.as_view('monitor_processing') bp.add_url_rule('/monitor_processing/<request_id>/<workload_id>', view_func=monitor_processing_view, methods=['get', ]) return bp

import sys import json import shutil from urllib.parse import urlparse from contextlib import redirect_stdout import sh import humanize from loguru import logger from .config import config from .utils import get_process_memory, get_process_cpu, get_current_time from .download_handlers import DEFAULT_PROVIDER, get_provider_dict STATUS_FILENAME = '.plyder.status' LOG_FILENAME = '.download.log' PROVIDER_DICT = get_provider_dict(config) @logger.catch def download_url(url: str, output_dir: str) -> bool: o = urlparse(url) provider = PROVIDER_DICT.get(o.netloc) if provider is None: logger.warning(f'No provider for "{url}" found, using wget fallback') provider = DEFAULT_PROVIDER logger.info(f'[{provider["name"]}] Downloading "{url}" to "{output_dir}"') try: func = provider['function'] if isinstance(func, sh.Command): func(url, output_dir, _out=sys.stdout, _err_to_out=True) else: func(url, output_dir) except Exception as e: logger.exception(e) return False return True def download_package(job: 'JobSubmission') -> None: # prepare environment output_dir = config['download_directory'] / job.package_name output_dir.mkdir(parents=True, exist_ok=True) with (output_dir / STATUS_FILENAME).open('w') as fd: json.dump({'status': 'running', 'start_time': get_current_time()}, fd) # download logger.info(f'Processing "{job.package_name}"') with (output_dir / LOG_FILENAME).open('w') as fd: with redirect_stdout(fd): any_url_failed = False for url in job.url_field: success = download_url(url, output_dir) any_url_failed |= not success logger.info(f'Finished "{job.package_name}"') # update final status with (output_dir / STATUS_FILENAME).open() as fd: status_data = json.load(fd) status_data['status'] = 'failed' if any_url_failed else 'done' status_data['end_time'] = get_current_time() with (output_dir / STATUS_FILENAME).open('w') as fd: json.dump(status_data, fd) def clean_packages() -> None: if not config['download_directory'].exists(): logger.warning( f'Download directory ({config["download_directory"]}) does not exist.' ) return for entry in config['download_directory'].iterdir(): if not entry.is_dir(): continue status_file = entry / STATUS_FILENAME if not status_file.exists(): continue with status_file.open() as fd: info = json.load(fd) if info['status'] not in ('done', 'failed'): logger.warning( f'Package "{entry.name}" in inconsistent state, setting to failed' ) with status_file.open('w') as fd: json.dump({'status': 'failed'}, fd) def list_packages(): if not config['download_directory'].exists(): logger.warning( f'Download directory ({config["download_directory"]}) does not exist.' ) return [] res = [] for entry in config['download_directory'].iterdir(): if not entry.is_dir(): continue # read log log_file = entry / LOG_FILENAME if log_file.exists(): with log_file.open() as fd: log_text = fd.read()[-10000:] # truncate else: log_text = '' # assemble information status_file = entry / STATUS_FILENAME try: with status_file.open() as fd: info = json.load(fd) except (FileNotFoundError, json.decoder.JSONDecodeError): # due to race conditions, the file may not contain valid JSON # even if it exists info = {'status': 'unknown'} res.append({'name': entry.name, 'info': info, 'log': log_text}) return res def get_server_info(): if config['download_directory'].exists(): total, used, free = shutil.disk_usage(config['download_directory']) else: total, used, free = -1, -1, -1 return { 'download_directory': str(config['download_directory']), 'disk_usage': { 'total': humanize.naturalsize(total), 'used': humanize.naturalsize(used), 'free': humanize.naturalsize(free), }, 'process': { 'memory': round(get_process_memory(), 2), 'cpu': round(get_process_cpu(), 2), }, }

import json import urllib import pymysql def videoList(): url = '주소를 쓰거라' jsonData = urllib.urlopen(url) data = json.loads(jsonData) videoId = data["videoId"] videoTitle = data["title"] videoId = data["id"] def messages(): url = '' jsonData = urllib.urlopen(url) data = json.loads(jsonData) def youtube(): url = '' jsonData = urllib.urlopen(url) data = json.loads(jsonData) videoStop = data["videoStop"] videoEnd = data["videoEnd"] videoSec = data["Number"] sql = "SELECT * FROM 'naver-db'" cursor.execute(sql) result = cursor.fetchall()

import win32con import win32clipboard print('本程序可以模仿马雷用人名刷屏的行为.\n') inputString = input("请输入要重复的字符串:\n") if(inputString ==""): print("使用默认重复串。\n") inputString = "malayniubi" inputTimes = abs(int(input("请输入要重复的次数:\n"))) if(inputTimes == 0): print("至少重复一次。\n已使用默认重复次数 100。\n") inputTimes = 100 print("你的马雷序列如下:\n") MalayString = (inputString.lower()+inputString.upper())*inputTimes print(MalayString) win32clipboard.OpenClipboard() win32clipboard.EmptyClipboard() win32clipboard.SetClipboardData(win32con.CF_UNICODETEXT, MalayString) win32clipboard.CloseClipboard() print("已经将结果输出到剪贴板。\n按任意键退出程序。\n") input()

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Interest rate is bank service that periodically deposits an interest amount to each account in the database based on some fixed rate. """ from time import time from threading import Thread, Event, Lock class InterestRateManager( Thread ): #DEFAULT VALUES PERIOD = 10*60 # in Seconds RATE = 0.05 def __init__( self, accounts, depositInterest, rate = 0.05 ): self.RATE = rate Thread.__init__( self ) self.__accounts = accounts self.__handler = depositInterest self.__schedule = [] self.__lock = Lock() self.__terminateFlag = False self.__event = Event() self.start() def ScheduleDeposit( self, Aid ): if not self.__schedule: flag = True else: flag = False begining = self.__accounts[ str(Aid) ][ 'AdateOfBegin' ] self.__lock.acquire() self.__schedule.append( [ Aid, begining, 0 ] ) self.__lock.release() if flag: self.__event.set() def Close( self ): self.__terminateFlag = True self.__event.set() def __CalcTimeToNext( self ): timeToWait = time()-self.__schedule[0][1] n = int( timeToWait / self.PERIOD ) if n > self.__schedule[0][2]: return 0 else: timeToWait = timeToWait%self.PERIOD timeToWait = self.PERIOD-timeToWait return timeToWait def run( self ): while True: #Thread waits for event or timeout if self.__schedule: timeToWait = self.__CalcTimeToNext() self.__flag = True self.__event.clear() self.__event.wait( timeToWait ) else: self.__flag = False self.__event.clear() self.__event.wait() if self.__event.is_set(): #Close, First ScheduleDeposit if self.__terminateFlag: break else: #timeout if self.__accounts.get( str( self.__schedule[0][0] ), None ) is None: self.__deleteInterest() else: self.__applyRotationInterest() def __applyRotationInterest( self ): self.__lock.acquire() event = self.__schedule.pop(0) self.__handler( str( event[0] ), self.RATE ) event[2] += 1 self.__schedule.append( event ) self.__lock.release() def __deleteInterest( self ): self.__lock.acquire() self.__schedule.pop( 0 ) self.__lock.release()

import argparse import multiprocessing as mp import os from functools import partial import numpy as np import pandas as pd from qpputils import dataparser as dp from RBO import rbo_dict from Timer import Timer parser = argparse.ArgumentParser(description='Features for UQV query variations Generator', usage='python3 features.py -q queries.txt -c CORPUS -r QL.res ', epilog='Unless --generate is given, will try loading the file') parser.add_argument('-c', '--corpus', default='ROBUST', type=str, help='corpus (index) to work with', choices=['ROBUST', 'ClueWeb12B']) parser.add_argument('-g', '--group', help='group of queries to predict', choices=['top', 'low', 'medh', 'medl', 'title']) parser.add_argument('--quantile', help='quantile of query variants to use for prediction', default=None, choices=['all', 'low', 'low-0', 'high', 'cref']) parser.add_argument('-l', '--load', default=None, type=str, help='features file to load') parser.add_argument('--generate', help="generate new features file", action="store_true") parser.add_argument('--predict', help="generate new predictions", action="store_true") parser.add_argument('--graphs', default=None, help="generate new features for graphs", choices=['asce', 'desc']) parser.add_argument('-v', '--vars', default=None, type=int, help="number of variations, valid with graphs") NUMBER_OF_DOCS = (5, 10, 25, 50, 100, 250, 500) def jaccard_coefficient(st1: str, st2: str): st1_set = set(st1.split()) st2_set = set(st2.split()) union = st1_set.union(st2_set) intersect = st1_set.intersection(st2_set) return float(len(intersect) / len(union)) def list_overlap(x, y): x_set = set(x) intersection = x_set.intersection(y) return len(intersection) # TODO: Implement the class QueryFeatureFactory to be meta class that can be used by other classes class QueryFeatureFactory: """TODO: At the moment this will save for each combination a separate pickle file, should change it to a pickle file that consists of all the calculations and then filter the relevant query variations from it""" def __init__(self, corpus, queries_group, vars_quantile, **kwargs): self.top_docs_overlap = kwargs.get('top_docs_overlap', 10) self.rbo_top = kwargs.get('rbo_top', 100) self.corpus = corpus self.queries_group = queries_group graphs = kwargs.get('graphs', None) if graphs: n = kwargs.get('n', None) assert n, 'Missing number of vars' self.__set_graph_paths(corpus, queries_group, graphs, n) else: self.__set_paths(corpus, queries_group, vars_quantile) _raw_res_data = dp.ResultsReader(self.results_file, 'trec') if queries_group == 'title': _title_res_data = dp.ResultsReader(self.title_res_file, 'trec') self.prediction_queries_res_data = _title_res_data else: self.prediction_queries_res_data = _raw_res_data self.queries_data = dp.QueriesTextParser(self.queries_full_file, 'uqv') self.topics_data = dp.QueriesTextParser(self.queries_topic_file) # Uncomment the next lines if you want to write the basic results of the topic queries. # write_basic_results(self.prediction_queries_res_data.data_df.loc[self.topics_data.queries_df['qid']], corpus, # queries_group) # exit() # These 2 DF used for the filtering method self.variations_data = dp.QueriesTextParser(self.queries_variations_file, 'uqv') self.quantile_variations_data = dp.QueriesTextParser(self.queries_quantile_vars, 'uqv') # _var_scores_df.loc[_var_scores_df['qid'].isin(_vars_list)] self.raw_res_data = _raw_res_data self.fused_data = dp.ResultsReader(self.fused_results_file, 'trec') self.query_vars = self.queries_data.query_vars @classmethod def __set_paths(cls, corpus, qgroup, vars_quantile): """This method sets the default paths of the files and the working directories, it assumes the standard naming convention of the project""" # cls.predictor = predictor _corpus_res_dir = dp.ensure_dir(f'~/QppUqvProj/Results/{corpus}') _corpus_dat_dir = dp.ensure_dir(f'~/QppUqvProj/data/{corpus}') _results_file = f'{_corpus_res_dir}/test/raw/QL.res' cls.results_file = os.path.normpath(_results_file) dp.ensure_file(cls.results_file) _title_results_file = f'{_corpus_res_dir}/test/basic/QL.res' cls.title_res_file = os.path.normpath(_title_results_file) dp.ensure_file(cls.title_res_file) cls.queries_full_file = dp.ensure_file(f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.stemmed.txt') # The variations file is used in the filter function - it consists of all the vars w/o the query at hand _queries_variations_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_wo_{qgroup}.txt' cls.queries_variations_file = dp.ensure_file(_queries_variations_file) # The vars quantile file is used in the filter function - it consists of the relevant vars quantile if vars_quantile == 'all': _queries_quantile_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.txt' else: _queries_quantile_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_{vars_quantile}_variants.txt' cls.queries_quantile_vars = dp.ensure_file(_queries_quantile_file) _queries_topic_file = f'{_corpus_dat_dir}/queries_{corpus}_{qgroup}.stemmed.txt' cls.queries_topic_file = dp.ensure_file(_queries_topic_file) _fused_results_file = f'{_corpus_res_dir}/test/fusion/QL.res' cls.fused_results_file = dp.ensure_file(_fused_results_file) # cls.output_dir = dp.ensure_dir(f'{_corpus_res_dir}/test/raw/') _predictions_out = f'{_corpus_res_dir}/uqvPredictions/referenceLists/{qgroup}/{vars_quantile}_vars/sim_as_pred/' cls.predictions_output_dir = dp.ensure_dir(_predictions_out) cls.pkl_dir = dp.ensure_dir(f'{_corpus_res_dir}/test/ref/pkl_files/') @classmethod def __set_graph_paths(cls, corpus, qgroup, direct, n): """This method sets the default paths of the files and the working directories, it assumes the standard naming convention of the project""" # cls.predictor = predictor _corpus_res_dir = dp.ensure_dir(f'~/QppUqvProj/Results/{corpus}') _corpus_dat_dir = dp.ensure_dir(f'~/QppUqvProj/data/{corpus}') _graphs_base_dir = dp.ensure_dir(f'~/QppUqvProj/Graphs/{corpus}') _graphs_res_dir = dp.ensure_dir(f'{_graphs_base_dir}/referenceLists/{qgroup}/{direct}/{n}_vars') _graphs_dat_dir = dp.ensure_dir(f'{_graphs_base_dir}/data') cls.number_of_vars = n _results_file = f'{_corpus_res_dir}/test/raw/QL.res' cls.results_file = os.path.normpath(_results_file) dp.ensure_file(cls.results_file) _title_results_file = f'{_corpus_res_dir}/test/basic/QL.res' cls.title_res_file = os.path.normpath(_title_results_file) dp.ensure_file(cls.title_res_file) _queries_full_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.stemmed.txt' cls.queries_full_file = dp.ensure_file(_queries_full_file) # The variations file is used in the filter function - it consists of all the vars w/o the query at hand _queries_variations_file = f'{_graphs_dat_dir}/{direct}/queries/queries_wo_{qgroup}_{n}_vars.txt' cls.queries_variations_file = dp.ensure_file(_queries_variations_file) cls.queries_quantile_vars = cls.queries_variations_file _queries_topic_file = f'{_corpus_dat_dir}/queries_{corpus}_{qgroup}.stemmed.txt' cls.queries_topic_file = dp.ensure_file(_queries_topic_file) _fused_results_file = f'{_corpus_res_dir}/test/fusion/QL.res' # _fused_results_file = f'{_corpus_res_dir}/test/fusion/all_wo_{qgroup}_fused_QL.res' cls.fused_results_file = dp.ensure_file(_fused_results_file) # cls.output_dir = dp.ensure_dir(f'{_graphs_res_dir}/test/raw/') cls.predictions_output_dir = dp.ensure_dir(f'{_graphs_res_dir}/sim_as_pred/') cls.pkl_dir = dp.ensure_dir(f'{_graphs_dat_dir}/pkl_files/features') def _calc_features(self): """This method calculates the similarity features for all the variations with the 'query at hand' i.e. the query that being predicted, including the query itself (if it's among the variations)""" _dict = {'topic': [], 'qid': [], 'Jac_coefficient': [], f'Top_{self.top_docs_overlap}_Docs_overlap': [], f'RBO_EXT_{self.rbo_top}': [], f'RBO_FUSED_EXT_{self.rbo_top}': []} for topic in self.topics_data.queries_dict.keys(): _topic = topic.split('-')[0] q_vars = self.query_vars.get(_topic) _dict['topic'] += [topic] * len(q_vars) res_dict = self.fused_data.get_res_dict_by_qid(_topic, top=self.rbo_top) topic_txt = self.topics_data.get_qid_txt(topic) topics_top_list = self.prediction_queries_res_data.get_docs_by_qid(topic, self.top_docs_overlap) # topics_top_list = self.title_res_data.get_docs_by_qid(topic, 25) topic_results_list = self.prediction_queries_res_data.get_res_dict_by_qid(topic, top=self.rbo_top) for var in q_vars: var_txt = self.queries_data.get_qid_txt(var) jc = jaccard_coefficient(topic_txt, var_txt) var_top_list = self.raw_res_data.get_docs_by_qid(var, self.top_docs_overlap) # var_top_list = self.raw_res_data.get_docs_by_qid(var, 25) docs_overlap = list_overlap(topics_top_list, var_top_list) # All RBO values are rounded to 10 decimal digits, to avoid float overflow var_results_list = self.raw_res_data.get_res_dict_by_qid(var, top=self.rbo_top) _rbo_scores_dict = rbo_dict(topic_results_list, var_results_list, p=0.95) rbo_ext_score = np.around(_rbo_scores_dict['ext'], 10) _fused_rbo_scores_dict = rbo_dict(res_dict, var_results_list, p=0.95) _rbo_fused_ext_score = np.around(_fused_rbo_scores_dict['ext'], 10) _dict['qid'] += [var] _dict['Jac_coefficient'] += [jc] _dict[f'Top_{self.top_docs_overlap}_Docs_overlap'] += [docs_overlap] _dict[f'RBO_EXT_{self.rbo_top}'] += [rbo_ext_score] _dict[f'RBO_FUSED_EXT_{self.rbo_top}'] += [_rbo_fused_ext_score] _df = pd.DataFrame.from_dict(_dict) # _df.set_index(['topic', 'qid'], inplace=True) return _df def _filter_queries(self, df): if 'qid' in df.index.names: df.reset_index(inplace=True) # Remove the topic queries _df = df.loc[df['qid'].isin(self.variations_data.queries_df['qid'])] # Filter only the relevant quantile variations _df = _df.loc[_df['qid'].isin(self.quantile_variations_data.queries_df['qid'])] return _df def _soft_max_scores(self, df): _df = self._filter_queries(df) _df = df _df.set_index(['topic', 'qid'], inplace=True) _exp_df = _df.apply(np.exp) # For debugging purposes z_e = _exp_df.groupby(['topic']).sum() softmax_df = (_exp_df.groupby(['topic', 'qid']).sum() / z_e) # _temp = softmax_df.dropna() # For debugging purposes return softmax_df def _average_scores(self, df): _df = self._filter_queries(df) # _df = df _df.set_index(['topic', 'qid'], inplace=True) # _exp_df = _df.apply(np.exp) # For debugging purposes avg_df = _df.groupby(['topic']).mean() # avg_df = (_df.groupby(['topic', 'qid']).mean()) # _temp = softmax_df.dropna() # For debugging purposes return avg_df def _max_norm_scores(self, df): # _df = self._filter_queries(df) _df = df _df.set_index(['topic', 'qid'], inplace=True) # For debugging purposes z_m = _df.groupby(['topic']).max() z_m.drop('qid', axis='columns', inplace=True) max_norm_df = (_df.groupby(['topic', 'qid']).sum() / z_m).fillna(0) # _temp = softmax_df.dropna() # For debugging purposes return max_norm_df def _sum_scores(self, df): _df = df # filter only variations different from original query # _df = self._filter_queries(df) z_n = _df.groupby(['topic']).sum() z_n.drop('qid', axis='columns', inplace=True) # All nan values will be filled with 0 norm_df = (_df.groupby(['topic', 'qid']).sum() / z_n).fillna(0) return norm_df def divide_by_size(self, df): # _df = df # filter only variations different from original query _df = self._filter_queries(df) z_n = _df.groupby(['topic']).count() z_n.drop('qid', axis='columns', inplace=True) # All nan values will be filled with 0 # norm_df = (_df.groupby(['topic', 'qid']) / z_n).fillna('!@#!@#!@#!') _df.set_index(['topic', 'qid'], inplace=True) norm_df = _df / z_n return norm_df def __load_features_df(self, _file_name): """The method will try to load the features DF from a pkl file, if it fails it will generate a new df and save it""" try: # Will try loading a DF, if fails will generate and save a new one file_to_load = dp.ensure_file(_file_name) _df = pd.read_pickle(file_to_load) except AssertionError: print(f'\nFailed to load {_file_name}') print(f'Will generate {self.pkl_dir.rsplit("/")[-1]} vars {self.queries_group}_query_features ' f'features and save') _df = self._calc_features() _df.to_pickle(_file_name) n = self.top_docs_overlap _df[f'Top_{n}_Docs_overlap'] = _df[f'Top_{n}_Docs_overlap'] / n return _df def __get_pkl_file_name(self): _file = '{}/{}_queries_{}_RBO_{}_TopDocs_{}.pkl'.format(self.pkl_dir, self.queries_group, self.corpus, self.rbo_top, self.top_docs_overlap) return _file def generate_features(self, load_from_pkl=True): """If `load_from_pkl` is True the method will try to load the features DF from a pkl file, otherwise it will generate a new df and save it""" _file = self.__get_pkl_file_name() if load_from_pkl: _df = self.__load_features_df(_file) else: _df = self._calc_features() _df.to_pickle(_file) n = self.top_docs_overlap _df[f'Top_{n}_Docs_overlap'] = _df[f'Top_{n}_Docs_overlap'] / n return self.divide_by_size(_df) # return _df # return self._soft_max_scores(_df) # return self._sum_scores(_df) # return self._average_scores(_df) # return self._max_norm_scores(_df) def save_predictions(self, df: pd.DataFrame): _df = self._filter_queries(df) _df = _df.groupby('topic').mean() _df = dp.convert_vid_to_qid(_df) _rboP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/rboP/predictions') _FrboP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/FrboP/predictions') _topDocsP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/topDocsP/predictions') _jcP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/jcP/predictions') _df[f'RBO_EXT_{self.rbo_top}'].to_csv(f'{_rboP_dir}/predictions-{self.rbo_top}', sep=' ') _df[f'RBO_FUSED_EXT_{self.rbo_top}'].to_csv(f'{_FrboP_dir}/predictions-{self.rbo_top}', sep=' ') _df[f'Top_{self.top_docs_overlap}_Docs_overlap'].to_csv(f'{_topDocsP_dir}/predictions-{self.top_docs_overlap}', sep=' ') _df['Jac_coefficient'].to_csv(f'{_jcP_dir}/predictions-{self.rbo_top}', sep=' ') def generate_predictions(self, load_from_pkl=True): _file = self.__get_pkl_file_name() if load_from_pkl: _df = self.__load_features_df(_file) else: _df = self._calc_features() _df.to_pickle(_file) self.save_predictions(_df) class RefQueryFeatureFactory(QueryFeatureFactory): """TODO: At the moment this will save for each combination a separate pickle file, should change it to a pickle file that consists of all the calculations and then filter the relevant query variations from it""" def __init__(self, corpus, queries_group, vars_quantile, **kwargs): super().__init__(corpus, queries_group, vars_quantile, **kwargs) self.top_docs_overlap = kwargs.get('top_docs_overlap', 10) self.rbo_top = kwargs.get('rbo_top', 100) self.corpus = corpus self.queries_group = queries_group graphs = kwargs.get('graphs', None) if graphs: n = kwargs.get('n', None) assert n, 'Missing number of vars' self.__set_graph_paths(corpus, queries_group, graphs, n) else: self.__set_paths(corpus, queries_group, vars_quantile) _raw_res_data = dp.ResultsReader(self.results_file, 'trec') if queries_group == 'title': _title_res_data = dp.ResultsReader(self.title_res_file, 'trec') self.prediction_queries_res_data = _title_res_data else: self.prediction_queries_res_data = _raw_res_data self.queries_data = dp.QueriesTextParser(self.queries_full_file, 'uqv') self.topics_data = dp.QueriesTextParser(self.queries_topic_file) # Uncomment the next lines if you want to write the basic results of the topic queries. # write_basic_results(self.prediction_queries_res_data.data_df.loc[self.topics_data.queries_df['qid']], corpus, # queries_group) # exit() # These 2 DF used for the filtering method self.variations_data = dp.QueriesTextParser(self.queries_variations_file, 'uqv') self.quantile_variations_data = dp.QueriesTextParser(self.queries_quantile_vars, 'uqv') # _var_scores_df.loc[_var_scores_df['qid'].isin(_vars_list)] self.raw_res_data = _raw_res_data self.fused_data = dp.ResultsReader(self.fused_results_file, 'trec') self.query_vars = self.queries_data.query_vars @classmethod def __set_paths(cls, corpus, qgroup, vars_quantile): """This method sets the default paths of the files and the working directories, it assumes the standard naming convention of the project""" # cls.predictor = predictor _corpus_res_dir = dp.ensure_dir(f'~/QppUqvProj/Results/{corpus}') _corpus_dat_dir = dp.ensure_dir(f'~/QppUqvProj/data/{corpus}') _results_file = f'{_corpus_res_dir}/test/raw/QL.res' cls.results_file = os.path.normpath(_results_file) dp.ensure_file(cls.results_file) _title_results_file = f'{_corpus_res_dir}/test/basic/QL.res' cls.title_res_file = os.path.normpath(_title_results_file) dp.ensure_file(cls.title_res_file) cls.queries_full_file = dp.ensure_file(f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.stemmed.txt') # The variations file is used in the filter function - it consists of all the vars w/o the query at hand _queries_variations_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_wo_{qgroup}.txt' cls.queries_variations_file = dp.ensure_file(_queries_variations_file) # The vars quantile file is used in the filter function - it consists of the relevant vars quantile if vars_quantile == 'all': _queries_quantile_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.txt' else: _queries_quantile_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_{vars_quantile}_variants.txt' cls.queries_quantile_vars = dp.ensure_file(_queries_quantile_file) _queries_topic_file = f'{_corpus_dat_dir}/queries_{corpus}_{qgroup}.stemmed.txt' cls.queries_topic_file = dp.ensure_file(_queries_topic_file) _fused_results_file = f'{_corpus_res_dir}/test/fusion/QL.res' cls.fused_results_file = dp.ensure_file(_fused_results_file) # cls.output_dir = dp.ensure_dir(f'{_corpus_res_dir}/test/raw/') _predictions_out = f'{_corpus_res_dir}/uqvPredictions/referenceLists/{qgroup}/{vars_quantile}_vars/sim_as_pred/' cls.predictions_output_dir = dp.ensure_dir(_predictions_out) cls.pkl_dir = dp.ensure_dir(f'{_corpus_res_dir}/test/ref/pkl_files/') @classmethod def __set_graph_paths(cls, corpus, qgroup, direct, n): """This method sets the default paths of the files and the working directories, it assumes the standard naming convention of the project""" # cls.predictor = predictor _corpus_res_dir = dp.ensure_dir(f'~/QppUqvProj/Results/{corpus}') _corpus_dat_dir = dp.ensure_dir(f'~/QppUqvProj/data/{corpus}') _graphs_base_dir = dp.ensure_dir(f'~/QppUqvProj/Graphs/{corpus}') _graphs_res_dir = dp.ensure_dir(f'{_graphs_base_dir}/referenceLists/{qgroup}/{direct}/{n}_vars') _graphs_dat_dir = dp.ensure_dir(f'{_graphs_base_dir}/data') cls.number_of_vars = n _results_file = f'{_corpus_res_dir}/test/raw/QL.res' cls.results_file = os.path.normpath(_results_file) dp.ensure_file(cls.results_file) _title_results_file = f'{_corpus_res_dir}/test/basic/QL.res' cls.title_res_file = os.path.normpath(_title_results_file) dp.ensure_file(cls.title_res_file) _queries_full_file = f'{_corpus_dat_dir}/queries_{corpus}_UQV_full.stemmed.txt' cls.queries_full_file = dp.ensure_file(_queries_full_file) # The variations file is used in the filter function - it consists of all the vars w/o the query at hand _queries_variations_file = f'{_graphs_dat_dir}/{direct}/queries/queries_wo_{qgroup}_{n}_vars.txt' cls.queries_variations_file = dp.ensure_file(_queries_variations_file) cls.queries_quantile_vars = cls.queries_variations_file _queries_topic_file = f'{_corpus_dat_dir}/queries_{corpus}_{qgroup}.stemmed.txt' cls.queries_topic_file = dp.ensure_file(_queries_topic_file) _fused_results_file = f'{_corpus_res_dir}/test/fusion/QL.res' # _fused_results_file = f'{_corpus_res_dir}/test/fusion/all_wo_{qgroup}_fused_QL.res' cls.fused_results_file = dp.ensure_file(_fused_results_file) # cls.output_dir = dp.ensure_dir(f'{_graphs_res_dir}/test/raw/') cls.predictions_output_dir = dp.ensure_dir(f'{_graphs_res_dir}/sim_as_pred/') cls.pkl_dir = dp.ensure_dir(f'{_graphs_dat_dir}/pkl_files/features') def _calc_features(self): """This method calculates the similarity features for all the variations with the 'query at hand' i.e. the query that being predicted, including the query itself (if it's among the variations)""" _dict = {'topic': [], 'qid': [], 'Jac_coefficient': [], f'Top_{self.top_docs_overlap}_Docs_overlap': [], f'RBO_EXT_{self.rbo_top}': [], f'RBO_FUSED_EXT_{self.rbo_top}': []} for topic in self.topics_data.queries_dict.keys(): _topic = topic.split('-')[0] q_vars = self.query_vars.get(_topic) _dict['topic'] += [topic] * len(q_vars) res_dict = self.fused_data.get_res_dict_by_qid(_topic, top=self.rbo_top) topic_txt = self.topics_data.get_qid_txt(topic) topics_top_list = self.prediction_queries_res_data.get_docs_by_qid(topic, self.top_docs_overlap) # topics_top_list = self.title_res_data.get_docs_by_qid(topic, 25) topic_results_list = self.prediction_queries_res_data.get_res_dict_by_qid(topic, top=self.rbo_top) for var in q_vars: var_txt = self.queries_data.get_qid_txt(var) jc = jaccard_coefficient(topic_txt, var_txt) var_top_list = self.raw_res_data.get_docs_by_qid(var, self.top_docs_overlap) # var_top_list = self.raw_res_data.get_docs_by_qid(var, 25) docs_overlap = list_overlap(topics_top_list, var_top_list) # All RBO values are rounded to 10 decimal digits, to avoid float overflow var_results_list = self.raw_res_data.get_res_dict_by_qid(var, top=self.rbo_top) _rbo_scores_dict = rbo_dict(topic_results_list, var_results_list, p=0.95) rbo_ext_score = np.around(_rbo_scores_dict['ext'], 10) _fused_rbo_scores_dict = rbo_dict(res_dict, var_results_list, p=0.95) _rbo_fused_ext_score = np.around(_fused_rbo_scores_dict['ext'], 10) _dict['qid'] += [var] _dict['Jac_coefficient'] += [jc] _dict[f'Top_{self.top_docs_overlap}_Docs_overlap'] += [docs_overlap] _dict[f'RBO_EXT_{self.rbo_top}'] += [rbo_ext_score] _dict[f'RBO_FUSED_EXT_{self.rbo_top}'] += [_rbo_fused_ext_score] _df = pd.DataFrame.from_dict(_dict) # _df.set_index(['topic', 'qid'], inplace=True) return _df def _filter_queries(self, df): if 'qid' in df.index.names: df.reset_index(inplace=True) # Remove the topic queries _df = df.loc[df['qid'].isin(self.variations_data.queries_df['qid'])] # Filter only the relevant quantile variations _df = _df.loc[_df['qid'].isin(self.quantile_variations_data.queries_df['qid'])] return _df def _soft_max_scores(self, df): _df = self._filter_queries(df) _df = df _df.set_index(['topic', 'qid'], inplace=True) _exp_df = _df.apply(np.exp) # For debugging purposes z_e = _exp_df.groupby(['topic']).sum() softmax_df = (_exp_df.groupby(['topic', 'qid']).sum() / z_e) # _temp = softmax_df.dropna() # For debugging purposes return softmax_df def _average_scores(self, df): _df = self._filter_queries(df) # _df = df _df.set_index(['topic', 'qid'], inplace=True) # _exp_df = _df.apply(np.exp) # For debugging purposes avg_df = _df.groupby(['topic']).mean() # avg_df = (_df.groupby(['topic', 'qid']).mean()) # _temp = softmax_df.dropna() # For debugging purposes return avg_df def _max_norm_scores(self, df): # _df = self._filter_queries(df) _df = df _df.set_index(['topic', 'qid'], inplace=True) # For debugging purposes z_m = _df.groupby(['topic']).max() z_m.drop('qid', axis='columns', inplace=True) max_norm_df = (_df.groupby(['topic', 'qid']).sum() / z_m).fillna(0) # _temp = softmax_df.dropna() # For debugging purposes return max_norm_df def _sum_scores(self, df): _df = df # filter only variations different from original query # _df = self._filter_queries(df) z_n = _df.groupby(['topic']).sum() z_n.drop('qid', axis='columns', inplace=True) # All nan values will be filled with 0 norm_df = (_df.groupby(['topic', 'qid']).sum() / z_n).fillna(0) return norm_df def divide_by_size(self, df): # _df = df # filter only variations different from original query _df = self._filter_queries(df) z_n = _df.groupby(['topic']).count() z_n.drop('qid', axis='columns', inplace=True) # All nan values will be filled with 0 # norm_df = (_df.groupby(['topic', 'qid']) / z_n).fillna('!@#!@#!@#!') _df.set_index(['topic', 'qid'], inplace=True) norm_df = _df / z_n return norm_df def __load_features_df(self, _file_name): """The method will try to load the features DF from a pkl file, if it fails it will generate a new df and save it""" try: # Will try loading a DF, if fails will generate and save a new one file_to_load = dp.ensure_file(_file_name) _df = pd.read_pickle(file_to_load) except AssertionError: print(f'\nFailed to load {_file_name}') print(f'Will generate {self.pkl_dir.rsplit("/")[-1]} vars {self.queries_group}_query_features ' f'features and save') _df = self._calc_features() _df.to_pickle(_file_name) n = self.top_docs_overlap _df[f'Top_{n}_Docs_overlap'] = _df[f'Top_{n}_Docs_overlap'] / n return _df def __get_pkl_file_name(self): _file = '{}/{}_queries_{}_RBO_{}_TopDocs_{}.pkl'.format(self.pkl_dir, self.queries_group, self.corpus, self.rbo_top, self.top_docs_overlap) return _file def generate_features(self, load_from_pkl=True): """If `load_from_pkl` is True the method will try to load the features DF from a pkl file, otherwise it will generate a new df and save it""" _file = self.__get_pkl_file_name() if load_from_pkl: _df = self.__load_features_df(_file) else: _df = self._calc_features() _df.to_pickle(_file) n = self.top_docs_overlap _df[f'Top_{n}_Docs_overlap'] = _df[f'Top_{n}_Docs_overlap'] / n return self.divide_by_size(_df) # return _df # return self._soft_max_scores(_df) # return self._sum_scores(_df) # return self._average_scores(_df) # return self._max_norm_scores(_df) def save_predictions(self, df: pd.DataFrame): _df = self._filter_queries(df) _df = _df.groupby('topic').mean() _df = dp.convert_vid_to_qid(_df) _rboP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/rboP/predictions') _FrboP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/FrboP/predictions') _topDocsP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/topDocsP/predictions') _jcP_dir = dp.ensure_dir(f'{self.predictions_output_dir}/jcP/predictions') _df[f'RBO_EXT_{self.rbo_top}'].to_csv(f'{_rboP_dir}/predictions-{self.rbo_top}', sep=' ') _df[f'RBO_FUSED_EXT_{self.rbo_top}'].to_csv(f'{_FrboP_dir}/predictions-{self.rbo_top}', sep=' ') _df[f'Top_{self.top_docs_overlap}_Docs_overlap'].to_csv(f'{_topDocsP_dir}/predictions-{self.top_docs_overlap}', sep=' ') _df['Jac_coefficient'].to_csv(f'{_jcP_dir}/predictions-{self.rbo_top}', sep=' ') def generate_predictions(self, load_from_pkl=True): _file = self.__get_pkl_file_name() if load_from_pkl: _df = self.__load_features_df(_file) else: _df = self._calc_features() _df.to_pickle(_file) self.save_predictions(_df) def features_loader(file_to_load, corpus): if file_to_load is None: file = dp.ensure_file('features_{}_uqv.JSON'.format(corpus)) else: file = dp.ensure_file(file_to_load) features_df = pd.read_json(file, dtype={'topic': str, 'qid': str}) features_df.reset_index(drop=True, inplace=True) features_df.set_index(['topic', 'qid'], inplace=True) features_df.rename(index=lambda x: x.split('-')[0], level=0, inplace=True) features_df.sort_values(['topic', 'qid'], axis=0, inplace=True) return features_df def write_basic_results(df: pd.DataFrame, corpus, qgroup): """The function is used to save basic predictions of a given queries set""" _df = dp.convert_vid_to_qid(df) _df.insert(loc=0, column='trec_Q0', value='Q0') _df.insert(loc=4, column='trec_indri', value='indri') _file_path = f'~/QppUqvProj/Results/{corpus}/test/ref/QL_{qgroup}.res' # dp.ensure_dir(os.path.normpath(os.path.expanduser(_file_path))) _df.to_csv(_file_path, sep=" ", header=False, index=True) def run_predictions_process(n, corpus, queries_group, quantile): sim_ref_pred = RefQueryFeatureFactory(corpus, queries_group, quantile, rbo_top=n, top_docs_overlap=n) sim_ref_pred.generate_predictions() return sim_ref_pred def run_features_process(n, corpus, queries_group, quantile): sim_ref_pred = RefQueryFeatureFactory(corpus, queries_group, quantile, rbo_top=n, top_docs_overlap=n) df = sim_ref_pred.generate_features() return df.drop('Jac_coefficient', axis=1) def load_full_features_df(**kwargs): """ :param kwargs: corpus, queries_group, quantile or features_factory_obj: QueryFeatureFactory() object :return: pd.DataFrame that contains all the features values """ corpus = kwargs.get('corpus', None) queries_group = kwargs.get('queries_group', None) quantile = kwargs.get('quantile', None) features_factory_obj = kwargs.get('features_factory_obj', None) if features_factory_obj: features_obj = features_factory_obj corpus = features_obj.corpus queries_group = features_obj.queries_group else: assert corpus and queries_group and quantile, f"Can't create a factory object from Corpus={corpus}, " \ f"Queries group={queries_group}, Variations Quantile={quantile}" features_obj = RefQueryFeatureFactory(corpus, queries_group, quantile) pkl_dir = dp.ensure_dir(f'~/QppUqvProj/Results/{corpus}/test/ref/pkl_files/') _list = [] last_df = pd.DataFrame() for n in NUMBER_OF_DOCS: _file = f'{pkl_dir}/{queries_group}_queries_{corpus}_RBO_{n}_TopDocs_{n}.pkl' try: dp.ensure_file(_file) _df = pd.read_pickle(_file).set_index(['topic', 'qid']) _df[f'Top_{n}_Docs_overlap'] = _df[f'Top_{n}_Docs_overlap'] / n _list.append(_df.drop('Jac_coefficient', axis=1)) last_df = _df['Jac_coefficient'] except AssertionError: print(f'!! Warning !! The file {_file} is missing') df = pd.concat(_list + [last_df], axis=1) return features_obj.divide_by_size(df) def main(args): corpus = args.corpus generate = args.generate predict = args.predict queries_group = args.group file_to_load = args.load quantile = args.quantile graphs = args.graphs number_of_vars = args.vars # Debugging # corpus = 'ClueWeb12B' # corpus = 'ROBUST' # print('\n------+++^+++------ Debugging !! ------+++^+++------\n') # queries_group = 'title' # quantile = 'all' # testing_feat = QueryFeatureFactory('ROBUST', 'title', 'all') # norm_features_df = testing_feat.generate_features() # norm_features_df.reset_index().to_json('query_features_{}_uqv.JSON'.format(corpus)) # return cores = mp.cpu_count() - 1 if generate: n = NUMBER_OF_DOCS[0] sim_ref_pred = RefQueryFeatureFactory(corpus, queries_group, quantile, rbo_top=n, top_docs_overlap=n) df = sim_ref_pred.generate_features() with mp.Pool(processes=cores) as pool: norm_features_list = pool.map( partial(run_features_process, corpus=corpus, queries_group=queries_group, quantile=quantile), NUMBER_OF_DOCS[1:]) norm_features_df = pd.concat(norm_features_list + [df], axis=1) _path = f'~/QppUqvProj/Results/{corpus}/test/ref' _path = dp.ensure_dir(_path) norm_features_df.reset_index().to_json( f'{_path}/{queries_group}_query_{quantile}_variations_features_{corpus}_uqv.JSON') elif predict: with mp.Pool(processes=cores) as pool: sim_ref_pred = pool.map( partial(run_predictions_process, corpus=corpus, queries_group=queries_group, quantile=quantile), NUMBER_OF_DOCS) elif graphs: assert number_of_vars, 'Missing number of variations' testing_feat = RefQueryFeatureFactory(corpus, queries_group, quantile, graphs=graphs) norm_features_df = testing_feat.generate_features() _path = f'~/QppUqvProj/Graphs/{corpus}/data/ref/' _path = dp.ensure_dir(_path) norm_features_df.reset_index().to_json( f'{_path}/{queries_group}_query_{quantile}_variations_features_{corpus}_uqv.JSON') elif file_to_load: features_df = features_loader(file_to_load, corpus) print(features_df) else: _path = f'~/QppUqvProj/Results/{corpus}/test/ref' _path = dp.ensure_dir(_path) df = load_full_features_df(corpus=corpus, queries_group=queries_group, quantile=quantile) df.reset_index().to_json(f'{_path}/{queries_group}_query_{quantile}_variations_features_{corpus}_uqv.JSON') if __name__ == '__main__': args = parser.parse_args() overall_timer = Timer('Total runtime') main(args) overall_timer.stop()

from django import template from ..conf import settings from ..forms import SubscriberForm register = template.Library() @register.inclusion_tag('easy_subscription/subscription_form.html') def subscription_form(): return { 'title': settings.EASY_SUBSCRIPTION_FORM_TITLE, 'subtitle': settings.EASY_SUBSCRIPTION_FORM_SUBTITLE, 'footer_message': settings.EASY_SUBSCRIPTION_FORM_FOTTER_MESSAGE, 'form': SubscriberForm(), 'form_border_color': settings.EASY_SUBSCRIPTION_FORM_BORDER_COLOR, 'form_button_color': settings.EASY_SUBSCRIPTION_FORM_BUTTON_COLOR, }

import collections import pathlib from typing import DefaultDict, Iterator from unittest import mock import pytest from pysen import mypy from pysen.mypy import _get_differences_from_base from pysen.process_utils import add_python_executable from pysen.reporter import Reporter from pysen.runner_options import PathContext, RunOptions from pysen.setting import SettingFile BASE_DIR = pathlib.Path(__file__).resolve().parent @pytest.fixture def reporter() -> Iterator[Reporter]: r = Reporter("") with r: yield r def test__get_differences_from_base() -> None: A = {"A": "a", "B": "b", "C": "c", "X": ["1", "2", "3"], "Y": ["a", "b"]} B = {"A": "a", "C": "c2", "D": "d", "X": ["1", "2", "3"], "Y": ["a", "c"]} assert _get_differences_from_base(A, B) == {"B": "b", "C": "c", "Y": ["a", "b"]} assert _get_differences_from_base(B, A) == {"C": "c2", "D": "d", "Y": ["a", "c"]} def test_mypy_setting() -> None: s = mypy.MypySetting.very_strict() assert s == mypy.MypySetting.very_strict() assert s != mypy.MypySetting.strict() section, settings = s.export(BASE_DIR) assert section == ["mypy"] assert settings["check_untyped_defs"] assert "target_module" not in settings s.check_untyped_defs = False section, settings = s.export(BASE_DIR) assert not settings["check_untyped_defs"] section, settings = s.export(BASE_DIR, target_module="hoge.fuga.*") assert section == ["mypy-hoge.fuga.*"] s.mypy_path = [ "/opt/pysen/stubs", "stubs2", pathlib.Path("/usr/pysen/stubs3"), pathlib.Path("stub4"), ] section, settings = s.export(pathlib.Path("/opt/pysen/package/python")) assert settings["mypy_path"] == [ "/opt/pysen/stubs", "stubs2", "/usr/pysen/stubs3", "stub4", ] # This option is set by pyproject loader s._pysen_convert_abspath = True section, settings = s.export(pathlib.Path("/opt/pysen/package/python")) assert settings["mypy_path"] == [ "../../stubs", "stubs2", "../../../../usr/pysen/stubs3", "stub4", ] def test_settings() -> None: m = mypy.Mypy( setting=mypy.MypySetting.very_strict(), module_settings={"hoge.fuga": mypy.MypySetting.strict()}, ) assert m.setting == mypy.MypySetting.very_strict() assert m.module_settings == {"hoge.fuga": mypy.MypySetting.strict()} m = mypy.Mypy() assert m.setting == mypy.MypySetting() assert m.module_settings == {} def test_commands(reporter: Reporter) -> None: m = mypy.Mypy( mypy_targets=[mypy.MypyTarget([pathlib.Path("/bar"), pathlib.Path("baz")])] ) expected_cmds = add_python_executable( "mypy", "--show-absolute-path", "--no-color-output", "--show-column-numbers", "--no-error-summary", "--config-file", "/setting/setup.cfg", "/bar", "/foo/baz", ) cmd = m.create_command( "lint", PathContext(pathlib.Path("/foo"), pathlib.Path("/setting")), RunOptions(), ) with mock.patch("os.chdir", return_value=None): with mock.patch("pysen.process_utils.run", return_value=(0, "", "")) as patch: assert cmd(reporter=reporter) == 0 patch.assert_called_with(expected_cmds, reporter) def test_export_settings() -> None: m = mypy.Mypy( setting=mypy.MypySetting( mypy_path=["hoge"], plugins=[mypy.MypyPlugin(script=BASE_DIR / pathlib.Path("foo/bar"))], disallow_any_decorated=False, ignore_missing_imports=False, warn_redundant_casts=True, follow_imports=mypy.MypyFollowImports.ERROR, _pysen_convert_abspath=True, ), module_settings={ "foo.*": mypy.MypySetting(disallow_any_decorated=True), # duplicated "bar.baz": mypy.MypySetting( ignore_missing_imports=True, # duplicated disallow_any_decorated=False, # same (not emitted in exported settings) disallow_any_unimported=False, # new ), }, ) files: DefaultDict[str, SettingFile] = collections.defaultdict(SettingFile) m.export_settings(PathContext(BASE_DIR, BASE_DIR), files) assert files.keys() == {"setup.cfg"} setting_file = files["setup.cfg"] expected = { "mypy": { "disallow_any_decorated": False, "follow_imports": "error", "ignore_missing_imports": False, "mypy_path": ["hoge"], "warn_redundant_casts": True, "plugins": ["foo/bar"], }, "mypy-foo.*": {"disallow_any_decorated": True}, "mypy-bar.baz": { "disallow_any_unimported": False, "ignore_missing_imports": True, }, } assert setting_file.as_dict() == expected

#!/usr/bin/env python import os, re def getFileName(allLogsName='AllCode'): # Function finds the lowest numbered filename in the form AllLogs(n) # that doesn't already exist and assigns it as the new filename filepath = os.path.join('.', allLogsName) for n in range(1,100): newFile = filepath + '{0}.txt'.format(n) if os.path.exists(newFile): pass else: return newFile def textCombiner(rootDir='.', filetype=".sas", outname="AllCode.txt"): '''Walks through directory tree starting at [rootDir] opening any text files with extension [filetype] default ".sas", and writes the combined files to a text doc [outname] in the rootDir, default "AllCode.txt" As the text files are read they are scanned for any %INCLUDE statements that refer to code files found outside of the directory tree , these are then appended to the compiled code file (dynamically generated filepaths, e.g. those containing macro variables will not be found, but will be listed at the end, along with any files that could not be found.)''' outpath = os.path.join(rootDir, outname) extras = [] #initiate list to contain files paths taken from %include statements #creates and opens output file. with open(outpath, "w") as outfile: #walks down directory tree from rootDir for dirName, subdirList, fileList in os.walk(rootDir): #for each file found for fname in fileList: #create file path from directory and filename filepath = "\\".join([dirName, fname]) #filepath = os.path.join(dirName, fname) #check file is of type specified by parameter [filetype] if fname.endswith(filetype): #compile regex to find %include statements inc = re.compile(r'%include\s+[\'\"]([^;]+)[\'\"];', re.IGNORECASE) #open code file with open(filepath, "r") as f: #write code file details to output outfile.write('\nSTART FILE\n\n') theDir = "DIRECTORY --> {}\n".format(dirName.upper()) theFile = "FILE -------> {}".format(fname.upper()) outfile.write(theDir) outfile.write(theFile) outfile.write('\n\n') #print(f.read()) for line in f.readlines(): outfile.write(line) #scan file for %include statements and append any to the extras matches = re.findall(inc, line) if matches: for match in matches: if match not in extras: extras.append(match) else: pass else: pass outfile.write('\n\nEND OF SAS FILE\n') outfile.write('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n') #outfile.write('\n\n\nSTART FILE\n\n') else: pass macropath = [] #list of filepaths from %include statements that contain macro variables notfound = [] #list of filepaths from %include statements that could not be found #if any %include statements found if extras: outfile.write("\n\nTHE FOLLOWING CODE FILES WERE FOUND IN %INCLUDE STATEMENTS AND REFER \nTO FILES OUTSIDE OF THE DIRECTORY TREE DEFINED BY THE ROOT DIRECTORY\n\n") for e in extras: #if filepath already included within the directory tree ignore it here if e.startswith(rootDir): print("Already included: {}".format(e)) pass #if filepath includes macro statement add it to the macropath list elif '&' in e: print("MACRO in: {}".format(e)) macropath.append(e) #attempt to open file and append details to the output file else: print("LEGIT path: {}".format(e)) try: with open(e, "r") as ef: outfile.write('\n\n\nSTART FILE\n\n') theDir = "DIRECTORY --> {}\n".format("\\".join(e.split('\\')[:-1]).upper()) theFile = "FILE -------> {}\n".format(e.split('\\')[-1].upper()) outfile.write(theDir) outfile.write(theFile) outfile.write('\n\n') for line in ef.readlines(): outfile.write(line) outfile.write('\n\nEND OF SAS FILE\n') outfile.write('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n') #outfile.write('\n\n\nSTART FILE\n\n') except FileNotFoundError: print("File not found: {}".format(e)) notfound.append(e) except error: print("Unknown error with file: {}".format(e)) if macropath: outfile.write("The following file paths include dynamically generated file paths with macro variables\nand it was not possible to add them to the compiled code file:\n\n") for m in macropath: outfile.write('\n\t') outfile.write(m) else: pass if notfound: outfile.write("\n\nThe following files were not found. Check that the file has not been moved \nand that the network drive is currently available:\n") for nf in notfound: outfile.write('\n\t') outfile.write(nf) else: pass print('Done') os.popen(outpath) return outpath #if __name__ == "__main__":

""" prefix.py Created by Diego Garcia del Rio on 2015-03-12. Copyright (c) 2015 Alcatel-Lucent. All rights reserved. Based on work by Thomas Morin on mac.py Copyright (c) 2014-2017 Orange. All rights reserved. Copyright (c) 2014-2017 Exa Networks. All rights reserved. License: 3-clause BSD. (See the COPYRIGHT file) """ from exabgp.protocol.ip import IP from exabgp.util import character from exabgp.util import ordinal from exabgp.util import concat_bytes from exabgp.bgp.message.update.nlri.qualifier import RouteDistinguisher from exabgp.bgp.message.update.nlri.qualifier import Labels from exabgp.bgp.message.update.nlri.qualifier import ESI from exabgp.bgp.message.update.nlri.qualifier import EthernetTag from exabgp.bgp.message.update.nlri import NLRI from exabgp.bgp.message.update.nlri.evpn.nlri import EVPN from exabgp.bgp.message.notification import Notify # ------------ EVPN Prefix Advertisement NLRI ------------ # As described here: # https://tools.ietf.org/html/draft-ietf-bess-evpn-prefix-advertisement-01 # +---------------------------------------+ # | RD (8 octets) | # +---------------------------------------+ # |Ethernet Segment Identifier (10 octets)| # +---------------------------------------+ # | Ethernet Tag ID (4 octets) | # +---------------------------------------+ # | IP Prefix Length (1 octet) | # +---------------------------------------+ # | IP Prefix (4 or 16 octets) | # +---------------------------------------+ # | GW IP Address (4 or 16 octets) | # +---------------------------------------+ # | MPLS Label (3 octets) | # +---------------------------------------+ # total NLRI length is 34 bytes for IPv4 or 58 bytes for IPv6 # ======================================================================= Prefix # https://tools.ietf.org/html/draft-rabadan-l2vpn-evpn-prefix-advertisement-03 @EVPN.register class Prefix (EVPN): CODE = 5 NAME = "IP Prefix Advertisement" SHORT_NAME = "PrfxAdv" def __init__(self, rd, esi, etag, label, ip, iplen, gwip, packed=None,nexthop=None,action=None,addpath=None): ''' rd: a RouteDistinguisher esi: an EthernetSegmentIdentifier etag: an EthernetTag mac: a MAC label: a LabelStackEntry ip: an IP address (dotted quad string notation) iplen: prefixlength for ip (defaults to 32) gwip: an IP address (dotted quad string notation) ''' EVPN.__init__(self,action,addpath) self.nexthop = nexthop self.rd = rd self.esi = esi self.etag = etag self.ip = ip self.iplen = iplen self.gwip = gwip self.label = label self.label = label if label else Labels.NOLABEL self._pack(packed) def __eq__ (self, other): return \ NLRI.__eq__(self,other) and \ self.CODE == other.CODE and \ self.rd == other.rd and \ self.etag == other.etag and \ self.ip == other.ip and \ self.iplen == other.iplen # esi, label and gwip must not be compared def __ne__ (self, other): return not self.__eq__(other) def __str__ (self): return "%s:%s:%s:%s:%s%s:%s:%s" % ( self._prefix(), self.rd._str(), self.esi, self.etag, self.ip, "/%d" % self.iplen, self.gwip, self.label ) def __hash__ (self): # esi, and label, gwip must *not* be part of the hash return hash("%s:%s:%s:%s" % (self.rd,self.etag,self.ip,self.iplen)) def _pack (self, packed=None): if self._packed: return self._packed if packed: self._packed = packed return packed self._packed = concat_bytes( self.rd.pack(), self.esi.pack(), self.etag.pack(), character(self.iplen), self.ip.pack(), self.gwip.pack(), self.label.pack(), ) return self._packed @classmethod def unpack (cls, exdata): data = exdata # Get the data length to understand if addresses are IPv4 or IPv6 datalen = len(data) rd = RouteDistinguisher.unpack(data[:8]) data = data[8:] esi = ESI.unpack(data[:10]) data = data[10:] etag = EthernetTag.unpack(data[:4]) data = data[4:] iplen = ordinal(data[0]) data = data[1:] if datalen == (26 + 8): # Using IPv4 addresses ip = IP.unpack(data[:4]) data = data[4:] gwip = IP.unpack(data[:4]) data = data[4:] elif datalen == (26 + 32): # Using IPv6 addresses ip = IP.unpack(data[:16]) data = data[16:] gwip = IP.unpack(data[:16]) data = data[16:] else: raise Notify(3,5,"Data field length is given as %d, but EVPN route currently support only IPv4 or IPv6(34 or 58)" % datalen) label = Labels.unpack(data[:3]) return cls(rd,esi,etag,label,ip,iplen,gwip,exdata) def json (self, compact=None): content = ' "code": %d, ' % self.CODE content += '"parsed": true, ' content += '"raw": "%s", ' % self._raw() content += '"name": "%s", ' % self.NAME content += '%s, ' % self.rd.json() content += '%s, ' % self.esi.json() content += '%s, ' % self.etag.json() content += '%s, ' % self.label.json() content += '"ip": "%s", ' % str(self.ip) content += '"iplen": %d, ' % self.iplen content += '"gateway": "%s" ' % str(self.gwip) return '{%s}' % content

from django.conf.urls.defaults import * urlpatterns = patterns('', (r'example/', 'simple.localsite.views.example', {}), )

class TestDataBridge: async def test_version(self, client_databridge): resp = await client_databridge.get('api') assert resp.status == 200 data = await resp.json() assert 'api_version' in data async def test_ping(self, client_databridge): resp = await client_databridge.get('api/ping') assert resp.status == 200 data = await resp.json() assert data['text'] == 'pong'

from time import sleep from kafka import KafkaProducer from alpha_vantage.timeseries import TimeSeries import random import json import sys def dataGrabber(): try: ticker = 'GOOGL' lines = open('key.txt').read().splitlines() keys = random.choice(lines) time = TimeSeries(key=keys, output_format='json') data, metadata = time.get_intraday(symbol=ticker, interval='1min', outputsize='full') return data except Exception: print("Invalid Key!") sys.exit(1) def messagePublisher(producerKey, key, data_key): keyBytes = bytes(key, encoding='utf-8') producerKey.send("GoogleStock", json.dumps(data[key]).encode('utf-8'), keyBytes) print("Message Published!") def kafkaProducerConnect(): try: producer = KafkaProducer(bootstrap_servers=['localhost:9092']) return producer except Exception: print("Connection Refused!") if __name__ == "__main__": data = dataGrabber() if len(data) > 0: kafkaProducer = kafkaProducerConnect() for key in sorted(data): messagePublisher(kafkaProducer, key, data[key]) sleep(3)

# # Copyright (c) 2019 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # ############################################################################ # # This file contains common collectd plugin constructs and utilities # ############################################################################ import collectd import json import uuid import httplib2 import socket import os from oslo_concurrency import processutils from fm_api import constants as fm_constants import tsconfig.tsconfig as tsc # http request constants PLUGIN_TIMEOUT = 10 PLUGIN_HTTP_HEADERS = {'Accept': 'application/json', 'Connection': 'close'} MIN_AUDITS_B4_FIRST_QUERY = 2 class PluginObject(object): def __init__(self, plugin, url): # static variables set in init_func self.plugin = plugin # the name of this plugin self.hostname = '' # the name of this host self.port = 0 # the port number for this plugin self.base_eid = '' # the base entity id host=<hostname> self.controller = False # set true if node is controller # dynamic gate variables self.virtual = False # set to True if host is virtual self.config_complete = False # set to True once config is complete self.config_done = False # set true if config_func completed ok self.init_done = False # set true if init_func completed ok self.fm_connectivity = False # set true when fm connectivity ok self.alarm_type = fm_constants.FM_ALARM_TYPE_7 # OPERATIONAL self.cause = fm_constants.ALARM_PROBABLE_CAUSE_50 # THRESHOLD CROSS self.suppression = True self.service_affecting = False # dynamic variables set in read_func self.usage = float(0) # last usage value recorded as float self.value = float(0) # last read value self.audits = 0 # number of audit since init self.enabled = False # tracks a plugin's enabled state self.alarmed = False # tracks the current alarmed state self.mode = '' # mode specific to plugin # http and json specific variables self.url = url # target url self.jresp = None # used to store the json response self.resp = '' self.objects = [] # list of plugin specific objects self.cmd = '' # plugin specific command string # Log controls self.config_logged = False # used to log once the plugin config self.error_logged = False # used to prevent log flooding self.log_throttle_count = 0 # used to count throttle logs self.INIT_LOG_THROTTLE = 10 # the init log throttle threshold self.phase = 0 # tracks current phase; init, sampling collectd.debug("%s Common PluginObject constructor [%s]" % (plugin, url)) ########################################################################### # # Name : init_ready # # Description: Test for init ready condition # # Parameters : plugin name # # Returns : False if initial config complete is not done # True if initial config complete is done # ########################################################################### def init_ready(self): """Test for system init ready state""" if os.path.exists(tsc.INITIAL_CONFIG_COMPLETE_FLAG) is False: self.log_throttle_count += 1 if self.log_throttle_count > self.INIT_LOG_THROTTLE: collectd.info("%s initialization needs retry" % self.plugin) self.log_throttle_count = 0 return False else: self.log_throttle_count = 0 return True ########################################################################### # # Name : gethostname # # Description: load the hostname # # Parameters : plugin name # # Returns : Success - hostname # Failure - None # # Updates : obj.hostname # ########################################################################### def gethostname(self): """Fetch the hostname""" # get current hostname try: hostname = socket.gethostname() if hostname: return hostname except: collectd.error("%s failed to get hostname" % self.plugin) return None ########################################################################### # # Name : is_virtual # # Description: Execute facter command with output filter on 'is_virtual' # # Parameters : None # # Returns : True if current host is virtual. # False if current host is NOT virtual # ########################################################################### def is_virtual(self): """Check for virtual host""" try: cmd = '/usr/bin/facter is_virtual' res, err = processutils.execute(cmd, shell=True) if err: return False elif res: # remove the trailing '\n' with strip() if res.strip() == 'true': collectd.info("%s %s is virtual" % (self.plugin, self.hostname)) return True except Exception as ex: collectd.info("%s failed to execute '/usr/bin/facter' ; %s" % self.plugin, ex) return False ########################################################################### # # Name : check_for_fit # # Description: load FIT data if it is present # # Fit Format : unit data -> 0 89 # - instance 0 value 89 # # Parameters : plugin name # object to update with fit # name in fit file # unit # # Returns : Did a failure occur ? # False = no # True = yes # # Updates : self.usage with FIT value if FIT conditions are present # and apply # ########################################################################### def check_for_fit(self, name, unit): """Load FIT data into usage if it exists""" fit_file = '/var/run/fit/' + name + '_data' if os.path.exists(fit_file): valid = False with open(fit_file, 'r') as infile: for line in infile: try: inst, val = line.split(' ') if int(unit) == int(inst): self.usage = float(val) valid = True except: try: val = float(line) self.usage = float(val) valid = True except: collectd.error("%s bad FIT data; ignoring" % self.plugin) if valid is True: collectd.info("%s %.2f usage (unit %d) (FIT)" % (self.plugin, unit, self.usage)) return False return True ########################################################################### # # Name : make_http_request # # Description: Issue an http request to the specified URL. # Load and return the response # Handling execution errors # # Parameters : self as current context. # # Optional: # # url - override the default self url with http address to # issue the get request to. # to - timeout override # hdrs - override use of the default header list # # Updates : self.jresp with the json string response from the request. # # Returns : Error indication (True/False) # True on error # False on success # ########################################################################### def make_http_request(self, url=None, to=None, hdrs=None): """Make a blocking HTTP Request and return result""" try: # handle timeout override if to is None: to = PLUGIN_TIMEOUT # handle url override if url is None: url = self.url # handle header override if hdrs is None: hdrs = PLUGIN_HTTP_HEADERS http = httplib2.Http(timeout=to) resp = http.request(url, headers=hdrs) except Exception as ex: collectd.info("%s http request failure (%s)" % (self.plugin, str(ex))) return True try: collectd.debug("%s Resp: %s" % (self.plugin, resp[1])) self.resp = resp[1] self.jresp = json.loads(resp[1]) except Exception as ex: collectd.info("%s http request parse failure (%s) (%s)" % (self.plugin, str(ex), resp)) return True return False def is_uuid_like(val): """Returns validation of a value as a UUID For our purposes, a UUID is a canonical form string: aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa """ try: return str(uuid.UUID(val)) == val except (TypeError, ValueError, AttributeError): return False def get_severity_str(severity): """get string that represents the specified severity""" if severity == fm_constants.FM_ALARM_SEVERITY_CLEAR: return "clear" elif severity == fm_constants.FM_ALARM_SEVERITY_CRITICAL: return "critical" elif severity == fm_constants.FM_ALARM_SEVERITY_MAJOR: return "major" elif severity == fm_constants.FM_ALARM_SEVERITY_MINOR: return "minor" else: return "unknown"

# Copyright 2016 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style # license that can be found in the LICENSE file or at # https://developers.google.com/open-source/licenses/bsd """Tests for the Monorail home page.""" from __future__ import print_function from __future__ import division from __future__ import absolute_import import unittest from third_party import ezt import settings from framework import permissions from proto import site_pb2 from services import service_manager from sitewide import hostinghome from sitewide import projectsearch from testing import fake from testing import testing_helpers class MockProjectSearchPipeline(object): def __init__(self, _mr, services): self.visible_results = services.mock_visible_results self.pagination = None def SearchForIDs(self): pass def GetProjectsAndPaginate(self, cnxn, list_page_url): pass class HostingHomeTest(unittest.TestCase): def setUp(self): self.services = service_manager.Services( project=fake.ProjectService(), project_star=fake.ProjectStarService()) self.services.mock_visible_results = [] self.project_a = self.services.project.TestAddProject('a', project_id=1) self.project_b = self.services.project.TestAddProject('b', project_id=2) self.servlet = hostinghome.HostingHome('req', 'res', services=self.services) self.mr = testing_helpers.MakeMonorailRequest(user_info={'user_id': 111}) self.orig_pipeline_class = projectsearch.ProjectSearchPipeline projectsearch.ProjectSearchPipeline = MockProjectSearchPipeline def tearDown(self): projectsearch.ProjectSearchPipeline = self.orig_pipeline_class def testSearch_ZeroResults(self): self.services.mock_visible_results = [] page_data = self.servlet.GatherPageData(self.mr) self.assertEqual([], page_data['projects']) def testSearch_NonzeroResults(self): self.services.mock_visible_results = [self.project_a, self.project_b] page_data = self.servlet.GatherPageData(self.mr) self.assertEqual(['a', 'b'], [pv.project_name for pv in page_data['projects']]) def testStarCounts(self): """Test the display of star counts on each displayed project.""" self.services.mock_visible_results = [self.project_a, self.project_b] # We go straight to the services layer because this is a test set up # rather than an actual user request. self.services.project_star.SetStar('fake cnxn', 1, 111, True) self.services.project_star.SetStar('fake cnxn', 1, 222, True) page_data = self.servlet.GatherPageData(self.mr) project_view_a, project_view_b = page_data['projects'] self.assertEqual(2, project_view_a.num_stars) self.assertEqual(0, project_view_b.num_stars) def testStarredProjects(self): self.services.mock_visible_results = [self.project_a, self.project_b] self.services.project_star.SetStar('fake cnxn', 1, 111, True) page_data = self.servlet.GatherPageData(self.mr) project_view_a, project_view_b = page_data['projects'] self.assertTrue(project_view_a.starred) self.assertFalse(project_view_b.starred) def testGatherPageData(self): mr = testing_helpers.MakeMonorailRequest() page_data = self.servlet.GatherPageData(mr) self.assertEqual(settings.learn_more_link, page_data['learn_more_link']) def testGatherPageData_CanCreateProject(self): mr = testing_helpers.MakeMonorailRequest() mr.perms = permissions.PermissionSet([permissions.CREATE_PROJECT]) page_data = self.servlet.GatherPageData(mr) self.assertEqual( ezt.boolean(settings.project_creation_restriction == site_pb2.UserTypeRestriction.ANYONE), page_data['can_create_project']) mr.perms = permissions.PermissionSet([]) page_data = self.servlet.GatherPageData(mr) self.assertEqual(ezt.boolean(False), page_data['can_create_project'])

#!/usr/bin/env python # -*- coding: utf-8 -*- import web import time from bson.objectid import ObjectId from config import setting import helper db = setting.db_web url = ('/report/voice') # - 用户反馈－－－－－－－－－－－ class handler: #class PosReport: def GET(self): if helper.logged(helper.PRIV_USER,'REPORT_VOICE'): render = helper.create_render() #user_data=web.input(start_date='', shop='__ALL__', ret_type='table') # 显示最近30天的 start_date = helper.time_str(time.time()-3600*24*30, format=1) # 起至时间 begin_date = '%s 00:00:00' % start_date #end_date = '%s 23:59:59' % start_date #print begin_date, end_date # db_voice = db.customer_voice.find({'time' : {'$gt' : begin_date}},{'_id':0}).sort([('_id',-1)]) return render.report_voice(helper.get_session_uname(), helper.get_privilege_name(), db_voice) else: raise web.seeother('/')

from rezgui.qt import QtGui from rezgui.widgets.BrowsePackageWidget import BrowsePackageWidget from rezgui.widgets.ContextSettingsWidget import ContextSettingsWidget from rezgui.mixins.ContextViewMixin import ContextViewMixin from rezgui.util import get_icon class BrowsePackagePane(QtGui.QTabWidget, ContextViewMixin): """A widget for browsing rez packages. Unlike `BrowsePackageWidget`, this class has its own settings tab, so that packages path can be changed. In contrast, `BrowsePackageWidget` does not, because it is intended to allow browsing of packages within an existing context. """ def __init__(self, context_model=None, parent=None): super(BrowsePackagePane, self).__init__(parent) ContextViewMixin.__init__(self, context_model) self.browse = BrowsePackageWidget(self.context_model) self.settings = ContextSettingsWidget(self.context_model, attributes=("packages_path",)) icon = get_icon("package", as_qicon=True) self.addTab(self.browse, icon, "packages") icon = get_icon("cog", as_qicon=True) self.addTab(self.settings, icon, "settings") # Copyright 2013-2016 Allan Johns. # # This library is free software: you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation, either # version 3 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this library. If not, see <http://www.gnu.org/licenses/>.

""" This modules defines the board of the game based on the configuration the user has requested """ import numpy as np import pawn import math ##DIRECTIONS## NORTHWEST = "northwest" NORTHEAST = "northeast" SOUTHWEST = "southwest" SOUTHEAST = "southeast" # Constant for Obstacle in the game, 21 because max pawn_id in our game is 20 OBSTACLE = 21 class Board: # Initialize the board based on the config the user requested def __init__(self, numOfSquares=8, num_of_pawns = 12): self.board = np.zeros((numOfSquares, numOfSquares)) self.p1_pawns = {} self.p2_pawns = {} self.num_of_pawns = num_of_pawns if numOfSquares == 10: self.num_of_pawns = 20 elif numOfSquares == 6: self.num_of_pawns = 6 num_of_rows = self.num_of_pawns / (numOfSquares / 2) self.initialize_players(0, 1, self.num_of_pawns) if numOfSquares == 8 and num_of_pawns != 6: self.initialize_players(int(numOfSquares - num_of_rows), 0, self.num_of_pawns, False) else: self.initialize_players(int(numOfSquares - num_of_rows), 1, self.num_of_pawns, False) self.total_moves = 0 self.moves_since_last_capture = 0 # Initialize player pawns and populate the board with their positions def initialize_players(self, start_row, start_index, num_of_pawns, p1=True): rows, cols = self.board.shape num_rows_to_fill = math.ceil(num_of_pawns / (cols / 2)) pawn_id = 1 for row in range(start_row, start_row + num_rows_to_fill): for col in range(start_index, cols, 2): if pawn_id > num_of_pawns: break if (p1): self.board[row, col] = pawn_id self.p1_pawns[pawn_id] = pawn.Pawn(pawn_id, row, col, start_row) pawn_id += 1 else: self.board[row, col] = -pawn_id self.p2_pawns[-pawn_id] = pawn.Pawn(-pawn_id, row, col, start_row) pawn_id += 1 if start_index == 0: start_index = 1 else: start_index = 0 # Updates the board and pawn object to according to new coordinate def update_board_pawn(self, new_x, new_y, pawn, p1=True): old_x, old_y = pawn.coordinates temp = self.board[new_x][new_y] self.board[new_x][new_y] = pawn.id self.board[old_x][old_y] = temp if p1: self.p1_pawns[pawn.id].coordinates = (new_x, new_y) else: self.p2_pawns[pawn.id].coordinates = (new_x, new_y) # Returns all the available to move for a given player # TODO: Rename the parameters to follow consistency def get_available_pawns(self, player_pawns_list, p2_list, dir): temp_dict = player_pawns_list player_available_pawns = [] for p in temp_dict: if not temp_dict[int(p)].is_king: x, y = self.get_new_coordinates(dir[0], temp_dict[p]) a, b = self.get_new_coordinates(dir[1], temp_dict[p]) if self.check_boundry(x, y) and p not in player_available_pawns: if self.board[x][y] == 0: player_available_pawns.append(p) elif self.board[x][y] in p2_list: x1, y1 = self.get_new_coordinates(dir[0], p2_list[self.board[x][y]]) if self.check_boundry(x1, y1) and self.board[x1, y1] == 0: player_available_pawns.append(p) if self.check_boundry(a, b) and p not in player_available_pawns: if self.board[a][b] == 0: player_available_pawns.append(p) elif self.board[a][b] in p2_list: a1, b1 = self.get_new_coordinates(dir[1], p2_list[self.board[a][b]]) if self.check_boundry(a1, b1) and self.board[a1, b1] == 0: player_available_pawns.append(p) else: temp_list = self.get_kings_move(temp_dict[p]) if len(temp_list) > 0: player_available_pawns.append(p) return player_available_pawns # Checks if given point (x, y) is within the board def check_boundry(self, x, y): rows, cols = self.board.shape if (0 <= x < rows) and (0 <= y < cols): return True else: return False # This method is used to search for all the movable pawns of the players def check_available_pawns_to_move(self, p1=False): """ :param p1 boolean :return array array of pawns that can move forward/backward Available pawns to move """ if p1 == True: return self.get_available_pawns(self.p1_pawns, self.p2_pawns, [SOUTHWEST, SOUTHEAST]) else: return self.get_available_pawns(self.p2_pawns, self.p1_pawns, [NORTHWEST, NORTHEAST]) # Given direction, return the corresponding pawn def get_new_coordinates(self, dir, pawn): """ Returns the coordinates one square in a different direction to (x,y). """ x, y = (pawn.coordinates) if dir == NORTHWEST: return x - 1, y - 1 elif dir == SOUTHWEST: return x + 1, y - 1 elif dir == NORTHEAST: return x - 1, y + 1 elif dir == SOUTHEAST: return x + 1, y + 1 else: return 0 # Given pawn, return all the coordinates the pawn can move for player 1 def get_player1_moves(self, dir1, dir2, pawn): get_pawn_moves = [] sw_x, sw_y = self.get_new_coordinates(dir1, pawn) se_x, se_y = self.get_new_coordinates(dir2, pawn) if self.check_boundry(sw_x, sw_y) and self.board[sw_x][sw_y] < 0 and self.board[sw_x][sw_y] != OBSTACLE: sw_sw_x, sw_sw_y = self.get_new_coordinates(dir1, self.p2_pawns[self.board[sw_x][sw_y]]) if self.check_boundry(sw_sw_x, sw_sw_y) and self.board[sw_sw_x][sw_sw_y] == 0: get_pawn_moves.append((sw_sw_x, sw_sw_y)) if self.check_boundry(se_x, se_y) and self.board[se_x][se_y] < 0 and self.board[sw_x][sw_y] != OBSTACLE: se_se_x, se_se_y = self.get_new_coordinates(dir2, self.p2_pawns[self.board[se_x][se_y]]) if self.check_boundry(se_se_x, se_se_y) and self.board[se_se_x][se_se_y] == 0: get_pawn_moves.append((se_se_x, se_se_y)) if self.check_boundry(sw_x, sw_y) and self.board[sw_x][sw_y] == 0: get_pawn_moves.append((sw_x, sw_y)) if self.check_boundry(se_x, se_y) and self.board[se_x][se_y] == 0: get_pawn_moves.append((se_x, se_y)) return get_pawn_moves # Given pawn, return all the coordinates the pawn can move for player 1 # TODO: combine this and above method to one single method def get_player2_moves(self, dir1, dir2, pawn): get_pawn_moves = [] nw_x, nw_y = self.get_new_coordinates(dir1, pawn) ne_x, ne_y = self.get_new_coordinates(dir2, pawn) if self.check_boundry(nw_x, nw_y) and self.board[nw_x][nw_y] > 0 and self.board[nw_x][nw_y] != OBSTACLE: nw_nw_x, nw_nw_y = self.get_new_coordinates(dir1, self.p1_pawns[self.board[nw_x][nw_y]]) if self.check_boundry(nw_nw_x, nw_nw_y) and self.board[nw_nw_x][nw_nw_y] == 0: get_pawn_moves.append((nw_nw_x, nw_nw_y)) if self.check_boundry(ne_x, ne_y) and self.board[ne_x][ne_y] > 0 and self.board[ne_x][ne_y] != OBSTACLE: ne_ne_x, ne_ne_y = self.get_new_coordinates(dir2, self.p1_pawns[self.board[ne_x][ne_y]]) if self.check_boundry(ne_ne_x, ne_ne_y) and self.board[ne_ne_x][ne_ne_y] == 0: get_pawn_moves.append((ne_ne_x, ne_ne_y)) if self.check_boundry(nw_x, nw_y) and self.board[nw_x][nw_y] == 0: get_pawn_moves.append((nw_x, nw_y)) if self.check_boundry(ne_x, ne_y) and self.board[ne_x][ne_y] == 0: get_pawn_moves.append((ne_x, ne_y)) return get_pawn_moves # This method is used to check the possible coordinates that the pawn can move to def get_moves(self, pawn): """ :param pawn Pawn object :return array array of coordinates the pawn can move to Returns a list of legal move locations from a set of coordinates (x,y) on the board. If that location is empty, then get_moves() return an empty list. """ x, y = (pawn.coordinates) pawn_id = self.board[x][y] if pawn_id != 0: if pawn_id < 0 and pawn.is_king is False: get_pawn_moves = self.get_player2_moves(NORTHWEST, NORTHEAST, pawn) elif pawn_id > 0 and pawn.is_king is False: get_pawn_moves = self.get_player1_moves(SOUTHWEST, SOUTHEAST, pawn) else: get_pawn_moves = self.get_kings_move(pawn) else: get_pawn_moves = [] return get_pawn_moves # Given a King pawn, get all the possible coordinates that the pawn can move to def get_kings_move(self, pawn): x, y = (pawn.coordinates) get_pawn_moves = [] pawn_id = self.board[x][y] if pawn_id != 0: if pawn_id < 0: get_pawn_moves.extend(self.get_player2_moves(NORTHWEST, NORTHEAST, pawn)) get_pawn_moves.extend(self.get_player2_moves(SOUTHWEST, SOUTHEAST, pawn)) elif pawn_id > 0: get_pawn_moves.extend(self.get_player1_moves(NORTHWEST, NORTHEAST, pawn)) get_pawn_moves.extend(self.get_player1_moves(SOUTHWEST, SOUTHEAST, pawn)) return get_pawn_moves # This method is used to analyze the move when the pawn is selected def check_move_type(self, pawn, direction): """ :param pawn Pawn object :return int 0 for simple move, 1 capturing move and -1 if the move cannot be made """ new_x, new_y = self.get_new_coordinates(direction, pawn) new_id = self.board[new_x, new_y] if new_id == 0: return 0 elif new_id > 0 and pawn.id > 0 or new_id < 0 and pawn.id < 0: return -1 else: return 1 # This method controls the pawn's movement def move_pawn(self, pawn, coordinate): """ This method handle the pawn movement inside the board :param pawn_id int Changes the position of the pawn selected and state of board :return list if the move is of type capture and can be chained """ direction = self.get_direction_from_coordinates(pawn, coordinate) self.total_moves += 1 self.moves_since_last_capture += 1 chain_capture_coordinates = [] if self.check_move_type(pawn, direction) == 0: self.simple_move(pawn, direction) elif self.check_move_type(pawn, direction) == 1: self.move_capture_pawn(pawn, direction) # Check if the move can be chained by another capture chain_capture_coordinates = self.get_chain_capture_coordinates(pawn) if (pawn.id > 0 and pawn.coordinates[0] == self.board.shape[0] - 1) or ( pawn.id < 0 and pawn.coordinates[0] == 0): pawn.is_king = True return chain_capture_coordinates def get_chain_capture_coordinates(self, pawn): chain_capture_coordinates = [] moves_list = self.get_moves(pawn) for coordinate in moves_list: move_type = self.check_move_type(pawn, self.get_direction_from_coordinates(pawn, coordinate)) if move_type == 1: chain_capture_coordinates.append(coordinate) return chain_capture_coordinates # This method is used when the move type is a capturing move def move_capture_pawn(self, pawn, direction): """ :param pawn Pawn object """ pawn_id = pawn.id pawn_coordinates = pawn.coordinates rival_pawn_coordinates = self.get_new_coordinates(direction, pawn) rival_pawn = self.p1_pawns[self.board[rival_pawn_coordinates]] if self.board[rival_pawn_coordinates] > 0 else \ self.p2_pawns[self.board[rival_pawn_coordinates]] new_x, new_y = self.get_new_coordinates(direction, rival_pawn) self.remove_pawn(rival_pawn, rival_pawn.id > 0) self.update_board_pawn(new_x, new_y, pawn, pawn.id > 0) # This method is used when the move type is simple, move the pawn diagonally, change the state of board and coordinate of given pawn def simple_move(self, pawn, direction): """ :param pawn Pawn object """ new_x, new_y = self.get_new_coordinates(direction, pawn) self.update_board_pawn(new_x, new_y, pawn, pawn.id > 0) # This method is used to update the state of the board and pawn def update_board_pawn(self, new_x, new_y, pawn, p1=True): self.board[new_x, new_y] = pawn.id self.board[pawn.coordinates] = 0 if (p1): self.p1_pawns[pawn.id].coordinates = (new_x, new_y) else: self.p2_pawns[pawn.id].coordinates = (new_x, new_y) # This method is used to remove pawn from players' dictionary and updates the state of board def remove_pawn(self, pawn, p1=True): self.moves_since_last_capture = 0 pawn_id = pawn.id pawn_coordinates = pawn.coordinates if p1: self.p1_pawns.pop(pawn_id, None) else: self.p2_pawns.pop(pawn_id, None) self.board[pawn_coordinates] = 0 # This method checks if the game is over or not. def check_game_status(self): """ This method checks the status of the game Returns true if the game is over and false if the game is still active in progress """ if self.moves_since_last_capture > 40 or len(self.p1_pawns) == 0 or len(self.p2_pawns) == 0: return True return False # This method is used to declare winner def declare_winner(self): """ This method declares the winner of the game Returns 1 | 0 | -1, 1 if player1 is the winner, -1 if player2 is the winner and 0 if its a tie """ if len(self.p1_pawns) == 0: return -1 elif len(self.p2_pawns) == 0: return 1 else: return 1 if len(self.p1_pawns) > len(self.p2_pawns) else -1 # This method gives the direction from the given pawn and new coordinate def get_direction_from_coordinates(self, pawn, new_coordinate): x, y = (pawn.coordinates) new_x, new_y = new_coordinate if x > new_x and y > new_y: return NORTHWEST elif x < new_x and y > new_y: return SOUTHWEST elif x > new_x and y < new_y: return NORTHEAST elif x < new_x and y < new_y: return SOUTHEAST # Returns the number of kings in the given pawn list def total_kings(self, pawns): count = 0 for pawn in pawns.values(): if pawn.is_king: count += 1 return count # Evaluate score (simpler version) def game_score(self): return len(self.p1_pawns) - len(self.p2_pawns) + \ (self.total_kings(self.p1_pawns) * 0.5 - self.total_kings(self.p2_pawns) * 0.5) # Computes the score of the state according to pawn coordinate position and is_king status def compute_score(self): score = 0 # if player1's turn if self.total_moves % 2 == 0: for i in range(self.board[0].size): for j in range(self.board[0].size): pawn = self.board[i][j] if pawn in self.p1_pawns.keys() or pawn in self.p2_pawns.keys(): if pawn in self.p1_pawns.keys() and self.p1_pawns[pawn].is_king: score += 10 elif pawn in self.p2_pawns.keys() and self.p2_pawns[pawn].is_king: score -= 10 elif pawn in self.p1_pawns.keys() and i < 4: score += 5 elif pawn in self.p2_pawns.keys() and i < 4: score -= 7 elif pawn in self.p1_pawns.keys() and i >= 4: score += 7 elif pawn in self.p2_pawns.keys() and i >= 4: score -= 5 # if player2's turn else: for i in range(self.board[0].size): for j in range(self.board[0].size): pawn = self.board[i][j] if pawn in self.p1_pawns.keys() or pawn in self.p2_pawns.keys(): if pawn in self.p1_pawns.keys() and self.p1_pawns[pawn].is_king: score += 10 elif pawn in self.p2_pawns.keys() and self.p2_pawns[pawn].is_king: score -= 10 elif pawn in self.p1_pawns.keys() and i < 4: score += 7 elif pawn in self.p2_pawns.keys() and i < 4: score -= 5 elif pawn in self.p1_pawns.keys() and i >= 4: score += 7 elif pawn in self.p2_pawns.keys() and i >= 4: score -= 5 #print(f"score: {score / (len(self.p1_pawns) + (len(self.p2_pawns)))}") return score / (len(self.p1_pawns) + (len(self.p2_pawns))) # This method adds obstacles to the board def set_obstacles(self, num_of_obstacles=0): obstacles = [] rows = self.board.shape[0] while num_of_obstacles > 0: x = np.random.randint(rows) y = np.random.randint(rows) if self.board[x, y] == 0: self.board[x, y] = OBSTACLE obstacles.append((x, y)) num_of_obstacles -= 1 return obstacles # String representation of the Board object def __str__(self): return f"Board: \n{self.board}\n" if __name__ == "__main__": board = Board() obs = board.set_obstacles(3) print(board) print(obs)

import pandas as pd import numpy as np #import matplotlib.pyplot as plt import time from pymongo import * import re from TopicModeling import *#algorito LDA dbName = "tw_arg_usa"; client = MongoClient('localhost', 27017) db = client['twitter_db'] collection = db[dbName] class Document(): def __init__(self,col): self.documentText="" self.collection=col def obtenerPedazoDocumento(self,row): texto=self.obtenerTexto(row['id']) texto = re.sub('[.@/:!?"#$\n]', '', texto) self.documentText=self.documentText+texto return 1 def obtenerTexto(self,idTuit): tuits = self.collection.find({"id": idTuit}) if(tuits.count()==0): print("No existe ese tuit") return None t = tuits.next() texto = t["text"] return texto documents=[] df = pd.read_csv("tw_arg_usa.csv") df['hour']=df.apply(lambda x:time.strftime('%H', time.strptime(x['created_at'],'%a %b %d %H:%M:%S +0000 %Y')),axis=1) df['minute']=df.apply(lambda x:int(time.strftime('%M', time.strptime(x['created_at'],'%a %b %d %H:%M:%S +0000 %Y')))//10*10,axis=1) #df['time']=df.apply(lambda x:str(x['hour'])+":"+str(x['minute']),axis=1) grouped_df=df.groupby(['hour','minute']) for key, item in grouped_df: aux_df= grouped_df.get_group(key) document=Document(collection) aux_df.apply(document.obtenerPedazoDocumento,axis=1) documents.append(document.documentText) #clase que clacula LDA, #tern score es el metodo que selecciona las palabras mas relevantes lda_wrapper = TopicModelingLDA(documents, "term_score") #recibe numero de topicos: le pongo el numero de documentos xd #recibe el numero de iteraciones: le pongo 10 lda_wrapper.fit(len(documents), 10) #se obtienen las 10 palabras mas importantes de cada topico top10 = lda_wrapper.get_highest_scores() """ for i,doc in enumerate(documents): print ("******************DOCUMENTO NUMERO: ",i, " ********************") print (doc) """

import subprocess import os import math template_dir = "new-template" outers = ["one","two","three","four","five"] inners = ["two","three","four","five"] adds = ["const","lin","quad","cub","quar","quin"] def writeLoop(outfile, degree, typ): template = open(template_dir + "/" + adds[degree] + typ + ".tmp") for line in template: outfile.write(line) outfile.write("\n") template.close() def createFile(target, a, b, degree, typ): outfile = open(target, "w+") outfile.write("int __cost = 0;\n\n") if (degree != 0 and typ != "") : writeLoop(outfile, degree, typ) outfile.write("void recursive(int n) {\n") outfile.write(" __VERIFIER_assume (n >= 0);\n") terminating_cond = " || ".join(["n == " + str(i) for i in range(b, 2*b)]) outfile.write(" if (" + terminating_cond + ") {\n") if (degree != 0): outfile.write(" __cost += " + str(2*b-1) + ";\n") else : outfile.write(" __cost++;\n") outfile.write(" return;\n") outfile.write(" }\n") outfile.write(" int m = n/" + str(b) + ";\n") for i in range(0, a): outfile.write(" recursive(m);\n") if (typ == ""): if (degree == 0): outfile.write(" __cost++;\n") elif (degree == 1): outfile.write(" __cost+=m;\n") elif (degree == 2): outfile.write(" __cost+=m*m;\n") elif (degree == 3): outfile.write(" __cost+=m*m*m;\n") elif (degree == 4): outfile.write(" __cost+=m*m*m*m;\n") else : outfile.write(" __cost+=m*m*m*m*m;\n") else : outfile.write(" loop(m);\n") outfile.write(" return;\n") outfile.write("}\n\n") outfile.write("void main(int n) {\n") outfile.write(" recursive(n);\n") outfile.write("}\n") outfile.close() for outerval, outer in enumerate(outers): for innerval, inner in enumerate(inners): for degree, add in enumerate(adds): case = "case" if (outerval == 0): if (degree == 0): case = case + "2" else: continue elif (math.log(outerval+1,innerval+2) > degree): case = case + "1" elif (math.log(outerval+1,innerval+2) == degree): case = case + "2" elif (math.pow(innerval+2,degree)>(outerval+1)): case = case + "3" else: continue if (not os.path.isdir(case)): subprocess.run(["mkdir", case]) if (not os.path.isdir(case+"/a-"+outer)): subprocess.run(["mkdir", case + "/a-"+outer]) if (not os.path.isdir(case+"/a-"+outer+"/b-"+inner)): subprocess.run(["mkdir", case+"/a-"+outer+"/b-"+inner]) if (not os.path.isdir(case+"/a-"+outer+"/b-"+inner+"/add-"+add)): subprocess.run(["mkdir", case+"/a-"+outer+"/b-"+inner+"/add-"+add]) if (add == "const"): target = case + "/a-"+outer+"/b-" + inner + "/add-" +add+"/a_"+outer+"_b_"+inner+"_add_"+add+".c" createFile(target, outerval+1, innerval+2, degree, "") else : types = ["","_rec","_loop"] for typ in types: target = case + "/a-"+outer+"/b-" + inner + "/add-" +add+"/a_"+outer+"_b_"+inner+"_add_"+add+typ+".c" createFile(target, outerval+1, innerval+2, degree, typ)

# To affect an HSMM, we want the probability of the state given the length of # time to the last word # This is only for non-0 transitions in the HMM import numpy as np import time from collections import defaultdict from sklearn import metrics from sklearn.linear_model import LogisticRegression # from sklearn.naive_bayes import GaussianNB # from sklearn.tree import DecisionTreeClassifier # from sklearn.ensemble import RandomForestClassifier from sklearn.preprocessing import StandardScaler import cPickle # import sys # sys.path.append("../") from deep_disfluency.feature_extraction.feature_utils import \ load_data_from_corpus_file from deep_disfluency.load.load import load_tags def load_timing_data(dialogues, labels2idx, simple=False): # make the args into a dict # get relevant dictionaries if simple: # overall_simple_trp_label2idx = {0: "<cc/>", # 1: "<ct/>", # 2: "<tc/>", # 3: "<tt/>"} simple_trp_label2idx = {0: "<c", 1: "<t"} # simple_trp_label2idx2 = {0: "c/>", # 1: "t/>"} else: simple_trp_label2idx = labels2idx # a map from the label index to every duration of that label timing_dict = defaultdict(list) for dialogue in dialogues: _, dialogue_speaker_data = dialogue _, lex_data, _, _, labels = dialogue_speaker_data timings = [float(l[2]) for l in lex_data] # just word end timings prev = 0 prev_t = 0 prev_prev_t = 0 # effecting a trigram of timings for i in range(0, len(timings)): t = timings[i] - prev complex_tag = labels[i] # print complex_tag found = False tag = labels[i] if simple: for k, v in simple_trp_label2idx.items(): if v in complex_tag: tag = k found = True break if not found: if "<laughter" in complex_tag: continue raw_input("warning: " + complex_tag + " " + tag) if t < 0: print "below zero" t = np.average([x[0] for x in timing_dict[tag]]) timings[i-1] = timings[i] - t # turn to milliseconds timing_dict[tag].append((prev_prev_t, prev_t, t)) # now the second one prev = timings[i] prev_prev_t = prev_t prev_t = t # compile all the timings information together X = [] y = [] for i in sorted(timing_dict.keys()): print simple_trp_label2idx[i] print np.average([time[0] for time in timing_dict[i]]), print np.std([time[0] for time in timing_dict[i]]) for tup in timing_dict[i]: X.append(list(tup)) y.append(i) X = np.asarray(X) y = np.asarray(y) print X.shape print y.shape return X, y def train(X, y): scaler = StandardScaler() X = scaler.fit_transform(X) # quite a sparsity problem model = LogisticRegression(class_weight='balanced', multi_class='ovr') model.fit(X, y) print(model) return model, scaler def test_simple(model, scaler, data, y): # make predictions X = scaler.transform(data) expected = y print expected predicted = model.predict(X) print model.predict_proba(X) print metrics.classification_report(expected, predicted) print metrics.confusion_matrix(expected, predicted) def test(model, scaler, X, y): # make predictions def convert_to_overall_dict(a, b): if a == 0: if b == 0: return 0 elif b == 1: return 1 elif a == 1: if b == 0: return 2 elif b == 1: return 3 print a, b, "wrong!" return None def convert_to_two_singles(a): if a == 0: return 0, 0 if a == 1: return 0, 1 if a == 2: return 1, 0 if a == 3: return 1, 1 test1 = [] for x in list(y): a, _ = convert_to_two_singles(x) test1.append(a) X1 = scaler.transform(X) predicted = model.predict(X1) print metrics.classification_report(np.asarray(test1), predicted) print metrics.confusion_matrix(np.asarray(test1), predicted) if __name__ == '__main__': disf_dir = "../data/disfluency_detection/switchboard" training_file = disf_dir + "/swbd_disf_train_1_2_partial_data_timings.csv" heldout_file = disf_dir + "/swbd_disf_heldout_partial_data_timings.csv" tag_dir = "../data/tag_representations" labels2idx = load_tags(tag_dir + "/swbd_uttseg_tags.csv") dialogues = load_data_from_corpus_file(training_file) X, y = load_timing_data(dialogues, labels2idx, simple=True) model, scaler = train(X, y) dialogues = load_data_from_corpus_file(heldout_file) X, y = load_timing_data(dialogues, labels2idx, simple=True) test_simple(model, scaler, X, y) # save the classifier with open('timing_models/' + 'LogReg_balanced_timing_classifier.pkl', 'wb') as fid: cPickle.dump(model, fid) with open('timing_models/' + 'LogReg_balanced_timing_scaler.pkl', 'wb') as fid: cPickle.dump(scaler, fid)

moveSet1 = 'R1009,D117,L888,D799,L611,U766,L832,U859,L892,D79,R645,U191,L681,D787,R447,D429,L988,U536,L486,D832,R221,D619,R268,D545,L706,U234,L528,D453,R493,D24,L688,U658,L74,D281,R910,D849,L5,U16,R935,D399,L417,U609,R22,D782,L432,D83,L357,D982,L902,U294,L338,U102,R342,D621,R106,U979,L238,U158,R930,D948,L700,D808,R445,U897,R980,U227,L466,D416,R244,U396,R576,U157,R548,U795,R709,U550,R137,U212,L977,U786,L423,D792,R391,D974,R390,U771,R270,D409,L917,D9,R412,D699,L170,D276,L912,U710,R814,U656,R4,D800,R596,U970,L194,U315,L845,D490,L303,U514,L675,D737,L880,D86,L253,D525,R861,D5,R424,D113,L764,D900,R485,D421,R125,U684,R53,U96,L871,U260,R456,U378,L448,D450,L903,D482,R750,U961,R264,D501,R605,D367,R550,U642,R228,U164,L343,U868,R595,D318,R452,U845,L571,D281,R49,D889,L481,U963,R182,U358,R454,U267,L790,D252,R455,D188,L73,U256,L835,D816,R503,U895,L259,U418,R642,U818,L187,U355,R772,U466,R21,U91,R707,D349,L200,U305,R931,D982,L334,D416,L247,D935,L326,U449,L398,D914,R602,U10,R762,D944,L639,D141,L457,U579,L198,U527,R750,U167,R816,D753,R850,D281,L712,D583,L172,D254,L544,D456,R966,U839,R673,D479,R730,D912,R992,D969,R766,U205,R477,D719,R172,D735,R998,D687,R698,D407,R172,U945,R199,U348,L256,D876,R580,U770,L483,D437,R353,D214,R619,U541,R234,D962,R842,U639,R520,D354,L279,D15,R42,U138,L321,D376,L628,D893,L670,D574,L339,U298,L321,D120,L370,U408,L333,D353,L263,D79,R535,D487,R113,D638,R623,D59,L508,D866,R315,U166,L534,U927,L401,D626,L19,D994,L778,D317,L936,U207,L768,U948,R452,U165,R864,D283,L874' moveSet2 = 'L995,D93,L293,U447,L793,D605,R497,D155,L542,D570,R113,D779,L510,U367,L71,D980,R237,U290,L983,U49,R745,U182,L922,D174,L189,D629,R315,D203,R533,U72,L981,D848,L616,U654,R445,D864,R526,D668,L678,U378,L740,D840,L202,D429,R136,D998,L116,D554,L893,U759,R617,U942,R999,U582,L220,U447,R895,D13,R217,U743,L865,U950,R91,D381,R662,D518,L798,D637,L213,D93,L231,D185,R704,U581,L268,U773,R405,U862,R796,U73,L891,U553,L952,U450,R778,D868,R329,D669,L182,U378,L933,D83,R574,U807,R785,D278,R139,D362,R8,U546,R651,U241,L462,D309,L261,D307,L85,U701,L913,U271,R814,U723,L777,D256,R417,U814,L461,U652,R198,D747,R914,U520,R806,U956,L771,D229,R984,U685,R663,D812,R650,U214,R839,U574,L10,U66,R644,D371,L917,D819,L73,D236,R277,U611,R390,U723,L129,D496,L552,D451,R584,U105,L805,U165,R179,D372,L405,D702,R14,U332,L893,D419,R342,D146,R907,D672,L316,U257,L903,U919,L942,U771,R879,U624,L280,U150,L320,U220,R590,D242,R744,U291,R562,U418,L898,U66,L564,U495,R837,D555,L739,D780,R409,D122,L426,D857,R937,D600,R428,D592,R727,U917,R256,D680,L422,U630,L14,U240,R617,D664,L961,D554,L302,U925,L376,D187,L700,D31,L762,U397,L554,D217,R679,D683,R680,D572,R54,D164,L940,D523,R140,U52,L506,D638,R331,D415,R389,D884,R410,D62,R691,U665,R889,U864,L663,D690,R487,U811,L190,U780,L758,U267,R155,D344,L133,D137,R93,D229,L729,U878,L889,D603,R288,U890,R251,U531,L249,D995,R863,D257,R655,D311,R874,U356,L833,U151,L741,U246,R694,D899,L48,U915,L900,U757,L861,U402,R971,U537,R460,D844,R54,U956,L151,U74,R892,U248,R677,D881,R99,D931,R427' def move_calculator(move_string: str): move_set = move_string.split(",") x_pos = 0 y_pos = 0 move_list = [] for move in move_set: for step in range(0, int(move[1:])): if move[0] == 'U': y_pos += 1 elif move[0] == 'D': y_pos -= 1 elif move[0] == 'L': x_pos -= 1 elif move[0] == 'R': x_pos += 1 move_list.append([x_pos, y_pos]) return move_list def x_reference(move_list1: list, move_list2: list): intersections = [] for move in move_list2: if move in move_list1: intersections.append(move) return intersections move_output1 = move_calculator(moveSet1) move_output2 = move_calculator(moveSet1) intersections = x_reference(move_output1, move_output2) lowest_distance = 10000000000000000000000000000000000000000000000000000 for intersect in intersections: final_x = 0 final_y = 0 if intersect[0] < 0: final_x = intersect[0] * -1 else: final_x = intersect[0] if intersect[1] < 0: final_y = intersect[1] * -1 else: final_y = intersect[1] if (final_x + final_y) < lowest_distance: lowest_distance = final_x + final_y print(lowest_distance)

from django.core.management import BaseCommand from django.db import transaction from voter.models import ChangeTracker, NCVoter BULK_CREATE_AMOUNT = 3000 @transaction.atomic def remove_changes(fileID): print("Rebuiding voter table", flush=True) processed_ncids = set() rebuilt_records = [] for ncid in ChangeTracker.objects.filter(file_tracker_id=fileID).values_list('ncid', flat=True): if ncid not in processed_ncids: data = dict() for change in ChangeTracker.objects.filter(ncid=ncid, file_tracker_id__lt=fileID).order_by('snapshot_dt'): data.update(change.data) rebuilt_records.append((ncid, data)) processed_ncids.add(ncid) if len(rebuilt_records) > BULK_CREATE_AMOUNT: for i in rebuilt_records: NCVoter.objects.filter(ncid=i[0]).update(**(i[1])) rebuilt_records.clear() if len(rebuilt_records) > 0: for i in rebuilt_records: NCVoter.objects.filter(ncid=i[0]).update(**(i[1])) rebuilt_records.clear() print("Removing change trackers", flush=True) ChangeTracker.objects.filter(file_tracker_id=fileID).delete() class Command(BaseCommand): help = "Rebuild the voter table until file ID" def add_arguments(self, parser): parser.add_argument( '--fileid', type=int, help='Rebuild the voter table until file ID') def handle(self, *args, **options): fileID = options['fileid'] print('Removing all changes from file {}'.format(fileID), flush=True) remove_changes(fileID)

# coding: utf-8 """ Tool Name: Exploratory Regression Source Name: ExploratoryRegression.py Version: ArcGIS 10.0 Author: Environmental Systems Research Institute Inc. """ ################ Imports #################### import sys as SYS import copy as COPY import os as OS import collections as COLL import operator as OP import locale as LOCALE import numpy as NUM import math as MATH import numpy.linalg as LA import arcpy as ARCPY import arcpy.management as DM import arcpy.da as DA import ErrorUtils as ERROR import SSDataObject as SSDO import SSUtilities as UTILS import Stats as STATS import MoransI_Step as GI import WeightsUtilities as WU import gapy as GAPY import itertools as ITER import locale as LOCALE LOCALE.setlocale(LOCALE.LC_ALL, '') ################ Output Field Names ################# erFieldNames = ["RunID", "AdjR2", "AICc", "JB", "K_BP", "MaxVIF", "SA", "NumVars"] ############## Helper Functions ############## masterJustify = ["right"] * 6 + ["left"] def returnPerc(numer, denom): if numer == 0: return 0.0 else: return ( (numer * 1.0) / denom) * 100. def runMoransI(ssdo, residuals, weightsMatrix, weightsType = "SWM", silent = True): mi = GI.GlobalI_Step(ssdo, residuals, weightsMatrix, weightsType = weightsType, silent = silent) return mi def nChooseK(n, k): top = MATH.factorial(n) left = MATH.factorial(k) right = MATH.factorial(n - k) return (top * 1.0) / (left * right) def inSameCombo(n, k): top = MATH.factorial(n - 2) left = MATH.factorial(k - 2) right = MATH.factorial(n - k) return (top * 1.0) / (left * right) ################ Interfaces ################## def runExploratoryRegression(): """Retrieves the parameters from the User Interface and executes the appropriate commands.""" #### Get User Provided Inputs #### ARCPY.env.overwriteOutput = True inputFC = ARCPY.GetParameterAsText(0) dependentVar = ARCPY.GetParameterAsText(1).upper() independentVarsReg = ARCPY.GetParameterAsText(2) independentVars = independentVarsReg.upper().split(";") weightsFile = UTILS.getTextParameter(3) #### Derived Output #### outputReportFile = OS.path.join(ARCPY.env.scratchFolder, "ModelSelectionOLS.txt") #### Search Criterion #### maxIndVars = UTILS.getNumericParameter(5) minIndVars = UTILS.getNumericParameter(6) minR2 = UTILS.getNumericParameter(7) maxCoef = UTILS.getNumericParameter(8) maxVIF = UTILS.getNumericParameter(9) minJB = UTILS.getNumericParameter(10) minMI = UTILS.getNumericParameter(11) #### Create a Spatial Stats Data Object (SSDO) #### ssdo = SSDO.SSDataObject(inputFC) #### Set Unique ID Field #### masterField = UTILS.setUniqueIDField(ssdo, weightsFile = weightsFile) #### MasterField Can Not Be The Dependent Variable #### if masterField == dependentVar: ARCPY.AddIDMessage("ERROR", 945, masterField, ARCPY.GetIDMessage(84112)) raise SystemExit() #### Remove the MasterField from Independent Vars #### if masterField in independentVars: independentVars.remove(masterField) ARCPY.AddIDMessage("WARNING", 736, masterField) #### Remove the Dependent Variable from Independent Vars #### if dependentVar in independentVars: independentVars.remove(dependentVar) ARCPY.AddIDMessage("WARNING", 850, dependentVar) #### Raise Error If No Independent Vars #### if not len(independentVars): ARCPY.AddIDMessage("ERROR", 737) raise SystemExit() #### Obtain Data #### allVars = [dependentVar] + independentVars #### Populate SSDO with Data #### if not weightsFile: ssdo.obtainDataGA(masterField, allVars, minNumObs = 5, warnNumObs = 30) else: ssdo.obtainData(masterField, allVars, minNumObs = 5, warnNumObs = 30) ExploratoryRegression(ssdo, dependentVar, independentVars, weightsFile = weightsFile, outputReportFile = outputReportFile, maxIndVars = maxIndVars, minIndVars = minIndVars, minR2 = minR2, maxCoef = maxCoef, maxVIF = maxVIF, minJB = minJB, minMI = minMI) #### Send Derived Output back to the tool #### ARCPY.SetParameterAsText(4, outputReportFile) ################## Classes ################### class ResultHandler(object): """Handles result information for Exploratory Regression.""" def __init__(self, allVarNames, numChoose, ssdo, weightMatrix, weightsType = "SWM", minR2 = .5, maxCoef = .01, maxVIF = 5.0, minJB = .1, minMI = .1, silent = False): #### Set Initial Attributes #### UTILS.assignClassAttr(self, locals()) #### Set Label #### self.numVars = len(self.allVarNames) self.label = ARCPY.GetIDMessage(84283).format(numChoose, self.numVars) if numChoose <= 2: self.eachAppears = 1 else: self.eachAppears = nChooseK(self.numVars - 2, numChoose - 2) #### Set Result Structures #### self.varSignDict = {} self.signDict = {} self.vifDict = {} for varName in self.allVarNames: self.varSignDict[varName] = [0, 0] self.signDict[varName] = [0, 0] self.vifDict[varName] = [0, []] self.olsResults = {} self.bestR2Vals = [] self.bestR2Res = [] self.passTable = [] self.passBools = [] self.r2Residuals = NUM.empty((self.ssdo.numObs, 3), dtype = float) self.allJBPass = UTILS.compareFloat(0.0, self.minJB, rTol = .00000001) self.allMIPass = UTILS.compareFloat(0.0, self.minMI, rTol = .00000001) self.miVals = [] def returnSilentBool(self): """Returns whether SWM neighbor warnings should be printed.""" if not self.silent and not len(self.miVals): #### Only Return Neighbor Warnings Once #### self.silent = True return False else: return True def runR2Moran(self): """Runs Moran's I for highest R2 Models.""" resultList = [] for ind, olsID in enumerate(self.bestR2Res): olsRes = self.olsResults[olsID] if olsRes.miPVal is None: silentBool = self.returnSilentBool() residuals = self.r2Residuals[:,ind].flatten() if not self.allMIPass: mi = runMoransI(self.ssdo, residuals, self.weightMatrix, weightsType = self.weightsType, silent = silentBool) miPVal = mi.pVal else: miPVal = 1.0 olsRes.setMoransI(miPVal) self.miVals.append(miPVal) #### Allows the Update of Output Table #### resultList.append( (olsID, olsRes.miPVal) ) return resultList def evaluateResult(self, olsResult, residuals, keep = False): """Evaluates an OLS result in the context of search criteria.""" #### Evaluate R2 #### r2Value = olsResult.r2 lenR2 = len(self.bestR2Vals) inR2 = False if lenR2 < 3: self.bestR2Vals.append(r2Value) self.bestR2Res.append(olsResult.id) self.r2Residuals[:,lenR2] = residuals inR2 = True else: minIndex = NUM.argsort(self.bestR2Vals)[0] minValue = self.bestR2Vals[minIndex] if r2Value > minValue: self.bestR2Vals[minIndex] = r2Value self.bestR2Res[minIndex] = olsResult.id self.r2Residuals[:,minIndex] = residuals inR2 = True #### Add to Master List of OLS Results #### keepBool = (keep or inR2) if keepBool: self.olsResults[olsResult.id] = olsResult #### Evaluate p-values #### pValVars = olsResult.evaluatePVals(maxCoef = self.maxCoef) #### Evaluate VIF #### vifVars = olsResult.evaluateVIF(maxVIF = self.maxVIF) #### Populate Result Structures #### for ind, varName in enumerate(olsResult.varNames): self.signDict[varName][0] += 1 if olsResult.coef[ind] < 0.0: self.varSignDict[varName][0] += 1 else: self.varSignDict[varName][1] += 1 for varName in pValVars: self.signDict[varName][1] += 1 for varName in vifVars: self.vifDict[varName][0] += 1 self.vifDict[varName][1] += list(vifVars) #### Obtain Bools #### pvBool = len(pValVars) == self.numChoose vifBool = len(vifVars) == 0 r2Bool = olsResult.r2 >= self.minR2 if not self.allJBPass: jbBool = olsResult.jb > self.minJB else: jbBool = True #### Decision Based on Bools #### tableBool = pvBool and vifBool if tableBool: self.passTable.append(olsResult.id) allBool = pvBool and vifBool and r2Bool and jbBool miBool = False if allBool: silentBool = self.returnSilentBool() if not self.allMIPass: mi = runMoransI(self.ssdo, residuals, self.weightMatrix, weightsType = self.weightsType, silent = silentBool) miPVal = mi.pVal else: miPVal = 1.0 olsResult.setMoransI(miPVal) self.miVals.append(miPVal) if miPVal > self.minMI: self.passBools.append(olsResult.id) self.olsResults[olsResult.id] = olsResult miBool = True return r2Bool, pvBool, vifBool, jbBool, miBool, keepBool def report(self): """Reports the results from exploratory regression analysis.""" #### Set Title #### title = self.label #### Column Labels #### labs = [ARCPY.GetIDMessage(84021), ARCPY.GetIDMessage(84249), ARCPY.GetIDMessage(84042), ARCPY.GetIDMessage(84036), ARCPY.GetIDMessage(84284), ARCPY.GetIDMessage(84292), ARCPY.GetIDMessage(84286)] r2Info = [ labs ] #### Adjusted R2, Sorted Highest to Lowest with ID Tie Breaks #### header = ARCPY.GetIDMessage(84287) numRes = UTILS.ssRange(len(self.bestR2Res)) r2Data = [] for i in numRes: r2Val = self.bestR2Vals[i] idVal = int(self.bestR2Res[i].split(":")[-1]) r2Data.append((r2Val, idVal)) r2Data = NUM.array(r2Data, dtype = [('r2', float), ('ids', int)]) r2SortedInds = r2Data.argsort(order = ('r2', 'ids')) sortIndex = reversed(r2SortedInds) for ind in sortIndex: olsID = self.bestR2Res[ind] olsRes = self.olsResults[olsID] olsOut = olsRes.report(formatStr = "%0.2f") r2Info.append(olsOut) r2Report = UTILS.outputTextTable(r2Info, header = header, justify = masterJustify) #### Passing Models #### header = ARCPY.GetIDMessage(84288) passList = [ labs ] r2Values = [] olsIDs = [] for olsID in self.passBools: olsRes = self.olsResults[olsID] r2Values.append(olsRes.r2) olsIDs.append(olsID) sortIndex = NUM.argsort(r2Values).tolist() sortIndex.reverse() for ind in sortIndex: olsID = olsIDs[ind] olsRes = self.olsResults[olsID] olsOut = olsRes.report(formatStr = "%0.6f") passList.append(olsOut) passingReport = UTILS.outputTextTable(passList, header = header) #### Print Report #### starMess = ARCPY.GetIDMessage(84289) * 78 finalReport = [starMess, title, r2Report, passingReport] finalReport = "\n".join(finalReport) finalReport = finalReport + "\n" ARCPY.AddMessage(finalReport) return finalReport class OLSResult(object): """Holds OLS Result Info for Exploratory Regression.""" def __init__(self, id, varNames, coef, pVals, vifVals, r2, aic, jb, bp, allMIPass = False): #### Set Initial Attributes #### UTILS.assignClassAttr(self, locals()) self.pVals = NUM.array(pVals) self.varNameArray = NUM.array(self.varNames) self.miPVal = None self.k = len(varNames) #### Create Model to Print #### self.createModel() def evaluateVIF(self, maxVIF = 5.0): """Evaluates VIF values.""" if self.k >= 2: self.maxVIFValue = self.vifVals.max() overIndices = NUM.where(self.vifVals >= maxVIF) return self.varNameArray[overIndices] else: self.maxVIFValue = 1.0 return NUM.array([]) def evaluatePVals(self, maxCoef = .01): """Evaluates coefficient p-values.""" overIndices = NUM.where(self.pVals <= maxCoef) return self.varNameArray[overIndices] def createModel(self): model = [] for ind, varName in enumerate(self.varNames): pVal = self.pVals[ind] coefVal = self.coef[ind] #### Determine Variable Sign #### if coefVal < 0: vRes = " -" else: vRes = " +" #### Determine Significance Level #### if pVal <= .1 and pVal > .05: vRes += varName + "*" elif pVal <= .05 and pVal > .01: vRes += varName + "**" elif pVal <= .01: vRes += varName + "***" else: vRes += varName #### Add to Model #### model.append(vRes) #### Set Attribute #### self.model = " ".join(model) def setMoransI(self, value): self.miPVal = value def report(self, orderType = 0, formatStr = "%0.6f", addModel = True): """Reports the results of the OLS run. INPUTS: orderType {int, 0}: Sort by - 0:R2, 1:Jarque-Bera, 2:Moran formatStr (str): format string, E.g. "%0.6f" addModel {bool, True}: Add model to report? """ #### Set Output Moran's I p-value #### if self.allMIPass: #### Make p-value NA #### miVal = ARCPY.GetIDMessage(84499) else: if self.miPVal is None: miVal = "" else: miVal = self.miPVal vifInd = -2 if orderType == 0: resultList = [ self.r2, self.aic, self.jb, self.bp, self.maxVIFValue, miVal ] elif orderType == 1: resultList = [ self.jb, self.r2, self.aic, self.bp, self.maxVIFValue, miVal ] else: resultList = [ miVal, self.r2, self.aic, self.jb, self.bp, self.maxVIFValue ] vifInd = -1 resultListVals = [] for val in resultList: try: outValue = UTILS.formatValue(val, formatStr) except: outValue = val resultListVals.append(outValue) if self.maxVIFValue >= 1000: resultListVals[vifInd] = ">" + LOCALE.format("%0.2f", 1000.) if addModel: resultListVals.append(self.model) return resultListVals class ExploratoryRegression(object): """Computes linear regression via Ordinary Least Squares, Psuedo-Step-Wise """ def __init__(self, ssdo, dependentVar, independentVars, weightsFile, outputReportFile = None, maxIndVars = 5, minIndVars = 1, minR2 = .5, maxCoef = .01, maxVIF = 5.0, minJB = .1, minMI = .1): ARCPY.env.overwriteOutput = True #### Set Initial Attributes #### UTILS.assignClassAttr(self, locals()) self.masterField = self.ssdo.masterField self.warnedTProb = False #### Set Boolean For Passing All Moran's I #### self.allMIPass = UTILS.compareFloat(0.0, self.minMI, rTol = .00000001) #### Assess Whether SWM File Being Used #### if weightsFile: weightSuffix = weightsFile.split(".")[-1].lower() if weightSuffix == "swm": self.weightsType = "SWM" self.weightsMatrix = self.weightsFile else: self.weightsType = "GWT" self.weightsMatrix = WU.buildTextWeightDict(weightsFile, self.ssdo.master2Order) else: #### If No Weightsfile Provided, Use 8 Nearest Neighbors #### if ssdo.numObs <= 9: nn = ssdo.numObs - 2 ARCPY.AddIDMessage("WARNING", 1500, 8, nn) else: nn = 8 self.weightsType = "GA" gaSearch = GAPY.ga_nsearch(self.ssdo.gaTable) gaSearch.init_nearest(0.0, nn, "euclidean") self.weightsMatrix = gaSearch #### Initialize Data #### self.runModels() def runModels(self): """Performs additional validation and populates the SSDataObject.""" #### Shorthand Attributes #### ssdo = self.ssdo #### Create Dependent Variable #### self.y = ssdo.fields[self.dependentVar].returnDouble() self.n = ssdo.numObs self.y.shape = (self.n, 1) #### Assure that Variance is Larger than Zero #### yVar = NUM.var(self.y) if NUM.isnan(yVar) or yVar <= 0.0: ARCPY.AddIDMessage("Error", 906) raise SystemExit() #### Validate Chosen Number of Combos #### k = len(ssdo.fields) if self.maxIndVars > (k - 1): ARCPY.AddIDMessage("WARNING", 1171, self.maxIndVars) self.maxIndVars = k - 1 ARCPY.AddIDMessage("WARNING", 1172, self.maxIndVars) #### Assure Degrees of Freedom #### withIntercept = self.maxIndVars + 1 dof = self.n - withIntercept if dof <= 2: ARCPY.AddIDMessage("WARNING", 1128, 2) dofLimit = self.n - 4 ARCPY.AddIDMessage("WARNING", 1419, dofLimit) self.maxIndVars = dofLimit if self.maxIndVars < 1: ARCPY.AddIDMessage("WARNING", 1173) #### Assure Min Vars is less than or equal to Max Vars #### if self.maxIndVars < self.minIndVars: ARCPY.AddIDMessage("WARNING", 1174) ARCPY.AddIDMessage("WARNING", 1175) self.minIndVars = self.maxIndVars #### Gen Range Combos #### rangeVars = range(1, k) rangeCombos = NUM.arange(self.minIndVars, self.maxIndVars+1) #### Create Base Design Matrix #### self.x = NUM.ones((self.n, k), dtype = float) for column, variable in enumerate(self.independentVars): self.x[:,column + 1] = ssdo.fields[variable].data #### Calculate Global VIF #### self.globalVifVals = COLL.defaultdict(float) if k > 2: #### Values Less Than One Were Forced by Psuedo-Inverse #### self.printVIF = True else: self.printVIF = False #### Create Output Report File #### fo = UTILS.openFile(self.outputReportFile, "w") #### Hold Results for Every Choose Combo #### self.resultDict = {} self.vifVarCount = COLL.defaultdict(int) self.model2Table = {} self.sumRuns = 0 self.sumGI = 0 self.boolGI = 0 self.boolResults = NUM.zeros(4, dtype = int) self.jbModels = [] self.jbValues = [] self.jbResiduals = NUM.empty((self.n, 3), dtype = float) self.perfectMultiWarnBool = False self.neighborWarn = False for choose in rangeCombos: #### Generate Index Combos #### comboGenerator = ITER.combinations(rangeVars, choose) #### Set Progressor #### message = ARCPY.GetIDMessage(84293).format(k-1, choose) ARCPY.SetProgressor("default", message) #### Set Result Structure #### rh = ResultHandler(self.independentVars, choose, self.ssdo, self.weightsMatrix, weightsType = self.weightsType, minR2 = self.minR2, maxCoef = self.maxCoef, maxVIF = self.maxVIF, minJB = self.minJB, minMI = self.minMI, silent = self.neighborWarn) #### Loop Through All Combinations #### modelCount = 0 emptyTabValues = [""] * ( self.maxIndVars - choose ) perfectMultiModels = [] for combo in comboGenerator: #### Create Design Matrix for Given Combination #### columns = [0] + list(combo) comboX = self.x[0:,columns] #### Get Model Info for given Combination #### N, K = comboX.shape varNameList = [ self.independentVars[j-1] for j in combo ] varNameListInt = ["Intercept"] + varNameList modelAll = self.dependentVar + " ~ " modelAll += " + ".join(varNameListInt) modelID = str(K) + ":" + str(modelCount) #### Run Linear Regression #### runModel = self.calculate(comboX) #### Set Near/Perfect Multicoll Bool #### nearPerfectBool = False if K > 2 and runModel: nearPerfectBool = NUM.any(abs(self.vifVal) >= 1000) if (not runModel) or nearPerfectBool: #### Perfect Multicollinearity #### #### Unable to Invert the Matrix #### perfectMultiModels.append(modelAll) else: #### Keep Track of Total Number of Models Ran #### modelCount += 1 self.sumRuns += 1 residuals = self.residuals.flatten() #### Evaluate p-values #### if self.BPProb < .1: #### Use Robust Coefficients #### pValsOut = self.pValsRob[1:] else: pValsOut = self.pVals[1:] coefOut = self.coef[1:] #### Process Largest VIF Values #### if K > 2: for ind, varName in enumerate(varNameList): vif = self.vifVal[ind] previousVIF = self.globalVifVals[varName] if vif > previousVIF: self.globalVifVals[varName] = vif #### Set OLS Result #### res = OLSResult(modelID, varNameList, coefOut, pValsOut, self.vifVal, self.r2Adj, self.aicc, self.JBProb, self.BPProb, allMIPass = self.allMIPass) #### Evaluate Jarque-Bera Stat #### keep = self.pushPopJB(res, self.residuals.flatten()) boolReport = rh.evaluateResult(res, residuals, keep = keep) r2Bool, pvBool, vifBool, jbBool, giBool, keepBool = boolReport #### Add Booleans for End Total Summary #### boolResult = [r2Bool, pvBool, vifBool, jbBool] self.boolResults += boolResult #### Delete OLS Instance if Not Necessary For Summary #### if not keepBool: del res #### Run Moran's I for Highest Adj. R2 #### r2ResultList = rh.runR2Moran() self.neighborWarn = True #### Add Results to Report File #### result2Print = rh.report() UTILS.writeText(fo, result2Print) if len(perfectMultiModels): self.perfectMultiWarnBool = True ARCPY.AddIDMessage("WARNING", 1304) for modelStr in perfectMultiModels: ARCPY.AddIDMessage("WARNING", 1176, modelStr) #### Add Choose Run to Result Dictionary #### self.resultDict[choose] = rh #### Run Moran's I on Best Jarque-Bera #### self.createJBReport() #### Final Moran Stats #### self.getMoranStats() #### Ending Summary #### self.endSummary() UTILS.writeText(fo, self.fullReport) fo.close() def getMoranStats(self): self.sumMoranRuns = 0 self.sumMoranPass = 0 miValues = [] miModels = [] miSorted = NUM.array([(0.0, 0.0), (0.0, 0.0), (0.0, 0.0)], dtype = [('mi', float), ('r2', float)]) for resKey, resHandler in UTILS.iteritems(self.resultDict): for olsKey, olsRes in UTILS.iteritems(resHandler.olsResults): miValue = olsRes.miPVal if miValue is not None: numRes = len(miValues) if numRes < 3: miValues.append(miValue) miModels.append(olsRes) else: if numRes == 3: miSorted['mi'] = miValues miSorted['r2'] = [ ols.r2 for ols in miModels ] minIndex = miSorted.argsort(order = ('mi', 'r2'))[0] minValue = miValues[minIndex] valueSame = UTILS.compareFloat(minValue, miValue) update = False if valueSame: if olsRes.r2 > miModels[minIndex].r2: update = True else: if minValue < miValue: update = True if update: miValues[minIndex] = miValue miModels[minIndex] = olsRes miSorted['mi'][minIndex] = miValue miSorted['r2'][minIndex] = olsRes.r2 self.sumMoranRuns += 1 if miValue > self.minMI: self.sumMoranPass += 1 miOrder = list(miSorted.argsort(order = ('mi', 'r2'))) #miOrder = list(NUM.argsort(miValues)) miOrder.reverse() self.miReportRows = [] for miIndex in miOrder: try: miResult = miModels[miIndex] self.miReportRows.append(miResult.report(orderType = 2)) except: pass def createJBReport(self): self.jbReportRows = [] sortIndex = NUM.argsort(self.jbValues).tolist() sortIndex.reverse() for ind in sortIndex: olsRes = self.jbModels[ind] if olsRes.miPVal is None: if not self.allMIPass: residuals = self.jbResiduals[:,ind].flatten() mi = runMoransI(self.ssdo, residuals, self.weightsMatrix, weightsType = self.weightsType) miPVal = mi.pVal else: miPVal = 1.0 olsRes.setMoransI(miPVal) olsOut = olsRes.report(orderType = 1) self.jbReportRows.append(olsOut) def pushPopJB(self, olsRes, residuals): """Keeps track of the best (highest) Jarque-Bera p-values.""" lenRes = len(self.jbValues) keep = False if lenRes < 3: self.jbValues.append(self.JBProb) self.jbModels.append(olsRes) self.jbResiduals[:,lenRes] = residuals keep = True else: minIndex = NUM.argsort(self.jbValues)[0] minValue = self.jbValues[minIndex] if minValue < self.JBProb: self.jbValues[minIndex] = self.JBProb self.jbModels[minIndex] = olsRes self.jbResiduals[:,minIndex] = residuals keep = True return keep def endSummary(self): """Creates End Summary for Report File.""" #### Passing Model Global Summary #### passHeader = ARCPY.GetIDMessage(84294) emptyValue = ARCPY.GetIDMessage(84092) perfectMultiStr = ARCPY.GetIDMessage(84368) perfectInterStr = ARCPY.GetIDMessage(84369) perfectInterStr += " (%s)" % LOCALE.format("%0.2f", 100) passResults = [ [ARCPY.GetIDMessage(84295), ARCPY.GetIDMessage(84296), ARCPY.GetIDMessage(84297), ARCPY.GetIDMessage(84298), ARCPY.GetIDMessage(84299)] ] cutoffList = [ "> " + UTILS.formatValue(self.minR2, "%0.2f"), "< " + UTILS.formatValue(self.maxCoef, "%0.2f"), "< " + UTILS.formatValue(self.maxVIF, "%0.2f"), "> " + UTILS.formatValue(self.minJB, "%0.2f"), "> " + UTILS.formatValue(self.minMI, "%0.2f") ] categories = [ARCPY.GetIDMessage(84300), ARCPY.GetIDMessage(84301), ARCPY.GetIDMessage(84302), ARCPY.GetIDMessage(84303), ARCPY.GetIDMessage(84304)] boolPerc = [ returnPerc(i, self.sumRuns) for i in self.boolResults ] boolPerc.append( returnPerc(self.sumMoranPass, self.sumMoranRuns) ) boolOut = list(self.boolResults) + [self.sumMoranPass] sumOut = [ self.sumRuns for i in self.boolResults ] sumOut += [self.sumMoranRuns] for ind, category in enumerate(categories): outValue = LOCALE.format("%0.2f", boolPerc[ind]) outCutoff = cutoffList[ind] outTrial = sumOut[ind] outCount = boolOut[ind] passResults.append( [category, outCutoff, outTrial, outCount, outValue] ) self.passReport = UTILS.outputTextTable(passResults, header = passHeader, pad = 1, justify = "right") ##### Variable Significance and VIF Reports #### ##### Create Table Headers #### signHeader = ARCPY.GetIDMessage(84305) vifHeader = ARCPY.GetIDMessage(84306) #### Create Column Labels and Result Lists #### signColInfo = [ [ARCPY.GetIDMessage(84068), ARCPY.GetIDMessage(84307), ARCPY.GetIDMessage(84366), ARCPY.GetIDMessage(84367)] ] signResults = [] vifResults = [ [ARCPY.GetIDMessage(84068), ARCPY.GetIDMessage(84284), ARCPY.GetIDMessage(84308), ARCPY.GetIDMessage(84309)] ] ##### Get Covariate Total #### percVarRes = [] totalTogether = 0 for resultKey, result in UTILS.iteritems(self.resultDict): totalTogether += result.eachAppears ##### Populate Result Lists #### for ind, varName in enumerate(self.independentVars): totalNeg = 0 totalPos = 0 totalSign = 0 totalRan = 0 totalViolations = 0 totalCovariates = COLL.defaultdict(int) for resultKey, result in UTILS.iteritems(self.resultDict): #### Significance Results #### numRan, numSign = result.signDict[varName] totalSign += numSign totalRan += numRan numNeg, numPos = result.varSignDict[varName] totalNeg += numNeg totalPos += numPos #### VIF Results #### numViolate, covariates = result.vifDict[varName] totalViolations += numViolate for covariate in covariates: if covariate != varName: totalCovariates[covariate] += 1 #### Add Perfect Multicollinearity Results * #### successfulRun = totalRan > 0 #### Complete Significance Row #### if successfulRun: percentSign = ((totalSign * 1.0) / totalRan) * 100.0 percentNeg = ((totalNeg * 1.0) / totalRan) * 100.0 percentPos = ((totalPos * 1.0) / totalRan) * 100.0 rowRes = [varName, LOCALE.format("%0.2f", percentSign), LOCALE.format("%0.2f", percentNeg), LOCALE.format("%0.2f", percentPos)] else: percentSign = -1.0 rowRes = [varName, emptyValue, emptyValue, emptyValue] ind2Insert = None if len(percVarRes): for ind, percVal in enumerate(percVarRes): if percVal < percentSign: ind2Insert = ind break if ind2Insert is None: percVarRes.append(percentSign) signResults.append(rowRes) else: percVarRes.insert(ind2Insert, percentSign) signResults.insert(ind2Insert, rowRes) #### Complete VIF Row #### if successfulRun: if self.printVIF: globalVIF = self.globalVifVals[varName] if abs(globalVIF) >= 1000: globalVIFOut = "> " + LOCALE.format("%0.2f", 1000.) else: globalVIFOut = LOCALE.format("%0.2f", globalVIF) else: globalVIFOut = emptyValue coString = [] sortedCovariates = sorted(UTILS.iteritems(totalCovariates), key=OP.itemgetter(1), reverse=True) for covariate, totalTimes in sortedCovariates: tRatio = (totalTimes/totalTogether) * 100 tRatio = LOCALE.format("%0.2f", tRatio) coString.append(covariate + " (" + str(tRatio) + ")") if len(coString): coString = ", ".join(coString) else: coString = emptyValue vifRes = [varName, globalVIFOut, "%i" % totalViolations, coString] else: vifRes = [varName, emptyValue, perfectMultiStr, perfectInterStr] vifResults.append(vifRes) #### Create Report Tables #### signResults = signColInfo + signResults self.signReport = UTILS.outputTextTable(signResults, header = signHeader, justify = ["left", "right", "right", "right"], pad = 1) if self.perfectMultiWarnBool: vifHeader += ARCPY.GetIDMessage(84111) self.vifReport = UTILS.outputTextTable(vifResults, header = vifHeader, justify = ["left", "right", "center", "left"], pad = 1) #### Add Perfect Multi Warning #### if self.perfectMultiWarnBool: msg = ARCPY.GetIDMessage(84409) + "\n" + ARCPY.GetIDMessage(84410) self.vifReport += msg ##### Residual Normality Summary #### jbHeader = ARCPY.GetIDMessage(84310) jbResults = [ [ARCPY.GetIDMessage(84042), ARCPY.GetIDMessage(84021), ARCPY.GetIDMessage(84249), ARCPY.GetIDMessage(84036), ARCPY.GetIDMessage(84284), ARCPY.GetIDMessage(84292), ARCPY.GetIDMessage(84286)] ] jbResults += self.jbReportRows self.jbReport = UTILS.outputTextTable(jbResults, header = jbHeader, pad = 1, justify = masterJustify) ##### Residual Autocorrelation #### if not self.allMIPass: miHeader = ARCPY.GetIDMessage(84311) miResults = [ [ARCPY.GetIDMessage(84292), ARCPY.GetIDMessage(84021), ARCPY.GetIDMessage(84249), ARCPY.GetIDMessage(84042), ARCPY.GetIDMessage(84036), ARCPY.GetIDMessage(84284), ARCPY.GetIDMessage(84286)] ] miResults += self.miReportRows justify = ["right"] * 6 + ["left"] self.miReport = UTILS.outputTextTable(miResults, header = miHeader, pad = 1, justify = masterJustify) else: self.miReport = "\n" + ARCPY.GetIDMessage(84311) self.miReport += " (" + ARCPY.GetIDMessage(84500) + ")\n" #### Significance Locale String #### decimalSep = UTILS.returnDecimalChar() modelString2 = ARCPY.GetIDMessage(84314) if decimalSep == ".": numSep = "," else: numSep = ";" modelString2 = modelString2.format(LOCALE.format("%0.2f", .1), numSep, LOCALE.format("%0.2f", .05), LOCALE.format("%0.2f", .01)) ##### Abbreviation Table #### modelStrip = ARCPY.GetIDMessage(84286).strip() abbHeader = ARCPY.GetIDMessage(84312) modelString1 = ARCPY.GetIDMessage(84313) abbResults = [ [ARCPY.GetIDMessage(84021),ARCPY.GetIDMessage(84315)], [ARCPY.GetIDMessage(84249),ARCPY.GetIDMessage(84316)], [ARCPY.GetIDMessage(84042),ARCPY.GetIDMessage(84317)], [ARCPY.GetIDMessage(84036),ARCPY.GetIDMessage(84318)], [ARCPY.GetIDMessage(84284),ARCPY.GetIDMessage(84319)], [ARCPY.GetIDMessage(84292),ARCPY.GetIDMessage(84320)], [modelStrip, modelString1], [modelStrip, modelString2]] self.abbReport = UTILS.outputTextTable(abbResults) self.abbReport = "\n" + abbHeader + "\n" + self.abbReport + "\n" ##### Display Tables #### starMess = "*" * 78 dashMess = "-" * 78 ARCPY.AddMessage(starMess) globalHeader = ARCPY.GetIDMessage(84321) globalHeader = globalHeader.format(self.dependentVar) globalHeader = globalHeader.center(78, "*") ARCPY.AddMessage(globalHeader) ARCPY.AddMessage(self.passReport) ARCPY.AddMessage(dashMess) ARCPY.AddMessage(self.signReport) ARCPY.AddMessage(dashMess) ARCPY.AddMessage(self.vifReport) ARCPY.AddMessage(dashMess) ARCPY.AddMessage(self.jbReport) ARCPY.AddMessage(dashMess) ARCPY.AddMessage(self.miReport) ARCPY.AddMessage(dashMess) ARCPY.AddMessage(self.abbReport) ARCPY.AddMessage(dashMess) self.fullReport = [starMess, globalHeader, self.passReport, dashMess, self.signReport, dashMess, self.vifReport, dashMess, self.jbReport, dashMess, self.miReport, dashMess, self.abbReport, dashMess] self.fullReport = "\n".join(self.fullReport) def calculate(self, comboX): """Performs OLS and related diagnostics.""" #### Shorthand Attributes #### ssdo = self.ssdo x = comboX n, k = NUM.shape(comboX) y = self.y #### General Information #### fn = n * 1.0 dof = n - k fdof = dof * 1.0 xt = x.T yt = y.T xx = NUM.dot(xt, x) #### Check for Perfect Multicollinearity #### U, s, V = LA.svd(xx) if UTILS.compareFloat(0.0, s[-1]): return False #### Attempt to Invert Design Matrix #### try: xxi = LA.inv(xx) except: #### Perfect multicollinearity, cannot proceed #### return False #### Bad Probabilities - Near Multicollinearity #### badProbs = False #### Compute Coefficients #### xy = NUM.dot(xt, y) coef = NUM.dot(xxi, xy) #### Residuals, Sum Of Squares, R2, Etc. #### yHat = NUM.dot(x, coef) yBar = (y.sum())/fn e = y - yHat ess = ( NUM.dot(e.T, e) )[0][0] s2 = (ess / fdof) s2mle = (ess / fn) seResiduals = NUM.sqrt(s2) ss = y - yBar tss = ( NUM.dot(ss.T, ss) )[0][0] r2 = 1.0 - (ess/tss) r2Adj = 1.0 - ( (ess / (fdof)) / (tss / (fn-1)) ) u2 = e * e #### Variance-Covariance for Coefficients #### varBeta = xxi * s2 #### Standard Errors / t-Statistics #### seBeta = NUM.sqrt(varBeta.diagonal()) tStat = (coef.T / seBeta).flatten() #### White's Robust Standard Errors #### dofScale = (int( n / (n - k) )) * 1.0 sHat = NUM.dot((u2 * x).T, x) * dofScale varBetaRob = NUM.dot(NUM.dot(xxi, sHat), xxi) seBetaRob = NUM.sqrt(varBetaRob.diagonal()) tStatRob = (coef.T / seBetaRob).flatten() #### DOF Warning Once for t-Stats #### silentVector = [ True for i in range(k) ] if (2 <= dof <= 4) and not self.warnedTProb: silentVector[0] = False self.warnedTProb = True #### Coefficient t-Tests #### pVals = [] pValsRob = [] for varInd in UTILS.ssRange(k): #### General #### try: p = STATS.tProb(tStat[varInd], dof, type = 2, silent = silentVector[varInd]) except: p = NUM.nan badProbs = True pVals.append(p) #### Robust #### try: p = STATS.tProb(tStatRob[varInd], dof, type = 2, silent = True) except: p = NUM.nan badProbs = True pValsRob.append(p) #### Jarque-Bera Test For Normality of the Residuals #### muE = (e.sum()) / fn devE = e - muE u3 = (devE**3.0).sum() / fn u4 = (devE**4.0).sum() / fn denomS = s2mle**1.5 denomK = s2mle**2.0 skew = u3 / denomS kurt = u4 / denomK self.JB = (n/6.) * ( skew**2. + ( (kurt - 3.)**2. / 4. )) if self.JB >= 0.0: self.JBProb = STATS.chiProb(self.JB, 2, type = 1) else: self.JBProb = NUM.nan badProbs = True #### Breusch-Pagan Test for Heteroskedasticity #### u2y = NUM.dot(xt, u2) bpCoef = NUM.dot(xxi, u2y) u2Hat = NUM.dot(x, bpCoef) eU = u2 - u2Hat essU = NUM.dot(eU.T, eU) u2Bar = (u2.sum()) / fn ssU = u2 - u2Bar tssU = NUM.dot(ssU.T, ssU) r2U = 1.0 - (essU/tssU) self.BP = (fn * r2U)[0][0] if self.BP >= 0.0: self.BPProb = STATS.chiProb(self.BP, (k-1), type = 1) else: self.BPProb = NUM.nan badProbs = True #### Classic Joint-Hypothesis F-Test #### q = k - 1 fq = q * 1.0 self.fStat = (r2/fq) / ((1 - r2) / (fn - k)) try: self.fProb = abs(STATS.fProb(self.fStat, q, (n-k), type = 1)) except: self.fProb = NUM.nan badProbs = True #### Wald Robust Joint Hypothesis Test #### R = NUM.zeros((q,k)) R[0:,1:] = NUM.eye(q) Rb = NUM.dot(R, coef) try: invRbR = LA.inv( NUM.dot(NUM.dot(R, varBetaRob), R.T) ) except: #### Perfect multicollinearity, cannot proceed #### return False self.waldStat = ( NUM.dot(NUM.dot(Rb.T, invRbR), Rb) )[0][0] if self.waldStat >= 0.0: self.waldProb = STATS.chiProb(self.waldStat, q, type = 1) else: self.waldProb = NUM.nan badProbs = True #### Log-Likelihood #### self.logLik = -(n / 2.) * (1. + NUM.log(2. * NUM.pi)) - \ (n / 2.) * NUM.log(s2mle) #### AIC/AICc #### k1 = k + 1 self.aic = -2. * self.logLik + 2. * k1 self.aicc = -2. * self.logLik + 2. * k1 * (fn / (fn - k1 - 1)) #### Calculate the Variance Inflation Factor #### if k <= 2: self.vifVal = ARCPY.GetIDMessage(84090) self.vif = False else: xTemp = xt[1:] corX = NUM.corrcoef(xTemp) try: ic = LA.inv(corX) self.vifVal = abs(ic.diagonal()) self.vifVal[self.vifVal >= 1000] = 1000 self.vif = True except: #### Perfect multicollinearity, cannot proceed #### return False #### Set Attributes #### self.dof = dof self.coef = coef self.yHat = yHat self.yBar = yBar self.residuals = e self.seResiduals = seResiduals self.stdRedisuals = e / self.seResiduals self.ess = ess self.tss = tss self.varCoef = varBeta self.seCoef = seBeta self.tStats = tStat self.pVals = pVals self.varCoefRob = varBetaRob self.seCoefRob = seBetaRob self.tStatsRob = tStatRob self.pValsRob = pValsRob self.r2 = r2 self.r2Adj = r2Adj self.s2 = s2 self.s2mle = s2mle self.q = q self.badProbs = badProbs self.varLabels = [ARCPY.GetIDMessage(84064)] + self.independentVars return True if __name__ == '__main__': er = runExploratoryRegression()

# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class OpenpmdApi(CMakePackage): """API for easy reading and writing of openPMD files""" homepage = "http://www.openPMD.org" git = "https://github.com/openPMD/openPMD-api.git" maintainers = ['ax3l'] version('dev', branch='dev') version('0.12.0', tag='0.12.0-alpha') version('0.11.1', tag='0.11.1-alpha') version('0.11.0', tag='0.11.0-alpha') version('0.10.3', tag='0.10.3-alpha') version('0.10.2', tag='0.10.2-alpha') version('0.10.1', tag='0.10.1-alpha') version('0.10.0', tag='0.10.0-alpha') variant('shared', default=True, description='Build a shared version of the library') variant('mpi', default=True, description='Enable parallel I/O') variant('hdf5', default=True, description='Enable HDF5 support') variant('adios1', default=False, description='Enable ADIOS1 support') variant('adios2', default=True, description='Enable ADIOS2 support') variant('python', default=False, description='Enable Python bindings') depends_on('cmake@3.12.0:', type='build') depends_on('mpark-variant@1.4.0:') depends_on('catch2@2.6.1:', type='test') depends_on('mpi@2.3:', when='+mpi') # might become MPI 3.0+ depends_on('hdf5@1.8.13:', when='+hdf5') depends_on('hdf5@1.8.13: ~mpi', when='~mpi +hdf5') depends_on('hdf5@1.8.13: +mpi', when='+mpi +hdf5') depends_on('adios@1.13.1: ~sz', when='+adios1') depends_on('adios@1.13.1: ~mpi ~sz', when='~mpi +adios1') depends_on('adios@1.13.1: +mpi ~sz', when='+mpi +adios1') depends_on('adios2@2.5.0:', when='+adios2') depends_on('adios2@2.6.0:', when='+adios2 @0.12.0:') depends_on('adios2@2.5.0: ~mpi', when='~mpi +adios2') depends_on('adios2@2.5.0: +mpi', when='+mpi +adios2') depends_on('nlohmann-json@3.7.0:') depends_on('py-pybind11@2.3.0:', when='+python', type='link') depends_on('py-numpy@1.15.1:', when='+python', type=['test', 'run']) depends_on('py-mpi4py@2.1.0:', when='+python +mpi', type=['test', 'run']) depends_on('python@3.5:', when='+python', type=['link', 'test', 'run']) extends('python', when='+python') # Fix breaking HDF5 1.12.0 API # https://github.com/openPMD/openPMD-api/pull/696 patch('hdf5-1.12.0.patch', when='@:0.11.0 +hdf5') def cmake_args(self): spec = self.spec args = [ '-DBUILD_SHARED_LIBS:BOOL={0}'.format( 'ON' if '+shared' in spec else 'OFF'), # variants '-DopenPMD_USE_MPI:BOOL={0}'.format( 'ON' if '+mpi' in spec else 'OFF'), '-DopenPMD_USE_HDF5:BOOL={0}'.format( 'ON' if '+hdf5' in spec else 'OFF'), '-DopenPMD_USE_ADIOS1:BOOL={0}'.format( 'ON' if '+adios1' in spec else 'OFF'), '-DopenPMD_USE_ADIOS2:BOOL={0}'.format( 'ON' if '+adios2' in spec else 'OFF'), '-DopenPMD_USE_PYTHON:BOOL={0}'.format( 'ON' if '+python' in spec else 'OFF'), # tests and examples '-DBUILD_TESTING:BOOL={0}'.format( 'ON' if self.run_tests else 'OFF'), '-DBUILD_EXAMPLES:BOOL={0}'.format( 'ON' if self.run_tests else 'OFF'), ] # switch internally shipped third-party libraries for spack if spec.satisfies('+python'): args.append('-DopenPMD_USE_INTERNAL_PYBIND11:BOOL=OFF') args.append('-DPYTHON_EXECUTABLE:FILEPATH={0}'.format( self.spec['python'].command.path)) args.extend([ '-DopenPMD_USE_INTERNAL_JSON:BOOL=OFF', '-DopenPMD_USE_INTERNAL_VARIANT:BOOL=OFF' ]) if self.run_tests: args.append('-DopenPMD_USE_INTERNAL_CATCH:BOOL=OFF') return args def setup_run_environment(self, env): spec = self.spec # pre-load dependent CMake-PUBLIC header-only libs env.prepend_path('CMAKE_PREFIX_PATH', spec['mpark-variant'].prefix) env.prepend_path('CPATH', spec['mpark-variant'].prefix.include) # more deps searched in openPMDConfig.cmake if spec.satisfies("+mpi"): env.prepend_path('CMAKE_PREFIX_PATH', spec['mpi'].prefix) if spec.satisfies("+adios1"): env.prepend_path('CMAKE_PREFIX_PATH', spec['adios'].prefix) env.prepend_path('PATH', spec['adios'].prefix.bin) # adios-config if spec.satisfies("+adios2"): env.prepend_path('CMAKE_PREFIX_PATH', spec['adios2'].prefix) if spec.satisfies("+hdf5"): env.prepend_path('CMAKE_PREFIX_PATH', spec['hdf5'].prefix) def setup_dependent_build_environment(self, env, dependent_spec): # pre-load dependent CMake-PUBLIC header-only libs env.prepend_path('CMAKE_PREFIX_PATH', self.spec['mpark-variant'].prefix) env.prepend_path('CPATH', self.spec['mpark-variant'].prefix.include)

import rospy # time evaluation import time from sensor_msgs.msg import JointState, PointCloud from geometry_msgs.msg import Polygon, Point32, PolygonStamped from jsk_recognition_msgs.msg import PolygonArray from std_msgs.msg import Header,Float64 from visualization_msgs.msg import Marker import tf import numpy as np def create_vertex_msg(force_vertex, pose, frame, scaling_factor = 500): pointcloud_massage = PointCloud() for i in range(force_vertex.shape[1]): point = Point32() point.x = force_vertex[0,i]/scaling_factor + pose[0] point.y = force_vertex[1,i]/scaling_factor + pose[1] point.z = force_vertex[2,i]/scaling_factor + pose[2] pointcloud_massage.points.append(point) # polytop stamped message pointcloud_massage.header = Header() pointcloud_massage.header.frame_id = frame pointcloud_massage.header.stamp = rospy.Time.now() return pointcloud_massage def create_polytopes_msg(force_polytopes, pose, frame, scaling_factor = 500): polygonarray_message = PolygonArray() polygonarray_message.header = Header() polygonarray_message.header.frame_id = frame polygonarray_message.header.stamp = rospy.Time.now() for face_polygon in force_polytopes: polygon_massage = Polygon() for i in range(face_polygon.shape[1]): point = Point32() point.x = face_polygon[0,i]/scaling_factor + pose[0] point.y = face_polygon[1,i]/scaling_factor + pose[1] point.z = face_polygon[2,i]/scaling_factor + pose[2] polygon_massage.points.append(point) # polytope stamped message polygon_stamped = PolygonStamped() polygon_stamped.polygon = polygon_massage polygon_stamped.header = Header() polygon_stamped.header.frame_id = frame polygon_stamped.header.stamp = rospy.Time.now() polygonarray_message.polygons.append(polygon_stamped) polygonarray_message.likelihood.append(1.0) return polygonarray_message def create_ellipsoid_msg(S, U, pose, frame, scaling_factor = 500): # calculate rotation matrix Rot_f = np.identity(4) Rot_f[0:3,0:3] = U marker = Marker() marker.header.frame_id = frame marker.pose.position.x = pose[0] marker.pose.position.y = pose[1] marker.pose.position.z = pose[2] quaternion = tf.transformations.quaternion_from_matrix( Rot_f ) #type(pose) = geometry_msgs.msg.Pose marker.pose.orientation.x = quaternion[0] marker.pose.orientation.y = quaternion[1] marker.pose.orientation.z = quaternion[2] marker.pose.orientation.w = quaternion[3] marker.type = marker.SPHERE marker.color.g = 0.7 marker.color.r = 1.0 marker.color.a = 0.5 marker.scale.x = 2*S[0]/scaling_factor marker.scale.y = 2*S[1]/scaling_factor marker.scale.z = 2*S[2]/scaling_factor return marker # definition of the four_link_solver module if __name__ == '__main__': capacity_visual_utils()

""" 14. 最长公共前缀 https://leetcode-cn.com/problems/longest-common-prefix/ """ def longestCommonPrefix(strs): if not strs: return "" def findPrefix(p, s): length, i = min(len(p), len(s)), 0 while i < length: if p[i] == s[i]: i += 1 else: break return p[:i] prefix = strs[0] for v in strs[1:]: prefix = findPrefix(prefix, v) if not prefix: return "" return prefix print(longestCommonPrefix(["flower","flow","flight"]))

import mysql.connector #连接数据库 # 获取操作游标 #创建数据库表 #存储过程 #关闭数据库 # mydb = mysql.connector.connect(host="localhost",user="root",password="gziscas",database="mydatabase",charset='utf8') # mycursor = mydb.cursor() # # 如果数据表已经存在使用 execute() 方法删除表。 # #mycursor.execute("DROP TABLE IF EXISTS EMPLOYEE") # # 创建数据表SQL语句 def createDatabase(): mydb = mysql.connector.connect(host="localhost",user="root",password="password",database="oneplum",charset="utf8") mycursor = mydb.cursor() sql = """CREATE TABLE test_one( id int (11) PRIMARY KEY AUTO_INCREMENT, date_time char(20) NOT NULL, rank_code char(20) NOT NULL) ENGINE=InnoDB DEFAULT CHARSET=utf8""" mycursor.execute(sql) mycursor.close() #连接数据库 #获取游标 #插入数据 #发送数据 #关闭数据 def addDatabase(value_date, value_rank): mydb = mysql.connector.connect(host="localhost",user="root",password="password",database="oneplum",charset="utf8") mycursor = mydb.cursor() sql = "insert into test_one(date_time,rank_code)values('%s','%s')"%(value_date,value_rank) try: # 执行sql语句 mycursor.execute(sql) # 提交到数据库执行 mydb.commit() print("success") except: mydb.rollback() print("error") mycursor.execute(sql) mydb.close() #链接数据库 #找游标 #写数据库要干嘛、 #try， #连接游标 #关闭数据库 #删除数据库 def deleteDatabase(): mydb = mysql.connector.connect(host="192.168.229.136",user="root",password="password",database="oneplum",charset="utf8") mycursor = mydb.cursor() sql = "delete from test_one where id = 1 " try: #执行sql语句 mycursor.execute(sql) #提交到数据库执行 mydb.commit() print("success") except: mydb.rollback() print("error") #mycursor.execute(sql) mydb.close() #deleteDatabase() #连接数据库，通过定义一个变量来连接到数据库 #获取数据库游标 #编写数据库要执行的命令 #try #用获取到的游标q启动数据库 #关闭数据库 import time def updateDatabase(value3,value4,ids): mydb = mysql.connector.connect(host="localhost",user="root",password="password",database="oneplum",charset="utf8") mycursor = mydb.cursor() # sql = "update test_one set(date_time ,rank_code)values('%s','%s',) "%(value3,value4) where id='%d'%('ids') sql = "update test_one set date_time = '%s', rank_code = '%s' where id='%d'"%(value3,value4,ids) #sql = "UPDATE EMPLOYEE SET AGE = AGE + 1 WHERE SEX = '%c'" % ('M') #sql = "insert into test_one(date_time,rank_code)values('%s','%s')"%(value_date,value_rank) try: #执行sql语句 mycursor.execute(sql) #提交到数据库执行 mydb.commit() print("success!") except: mydb.rollback() print("error") #mycursor.execute(sql) mydb.close() value1 = "sadf23" value2="dshgj" #addDatabase(value1,value2) value3="xiaoming" value4="xiaomei" id=4 #updateDatabase(value3,value4,id) #连接数据库 #获取数据库游标 #编写数据 #try #关闭数据库 def selectDatabase(): mydb = mysql.connector.connect(host="localhost",user="root",password="password",database="oneplum",charset="utf8") mycursor = mydb.cursor() sql = "select * from test_one" try: #执行sql语句 mycursor.execute(sql) #获取所有记录表 results = mycursor.fetchall() #打印结果 for row in results: id = row[0] date_time = row[1] rank_code = row[2] #打印结果 #print ("id=%d,date_time=%s,rank_code=%s" % (id,date_time,rank_code)) #美观一些 print(id,date_time,rank_code) print("success!!!!!!!") except: mydb.rollback() print("error") #mycursor.execute(sql) mydb.close() selectDatabase() ide ="id" values5 = "date_time" values6 = "rank_code" print(ide,values5,values6)

import sys def getWays(squares, d, m): # Complete this function cumSum = [0] for val in squares: cumSum.append(cumSum[-1] + val) #print(cumSum) count = 0 for i in range(1, len(cumSum) - m + 1): sumVal = cumSum[i + m - 1] - cumSum[i -1] #print(sumVal) if(sumVal == d): count +=1 return count n = int(input().strip()) s = list(map(int, input().strip().split(' '))) d,m = input().strip().split(' ') d,m = [int(d),int(m)] result = getWays(s, d, m) print(result)

""" metric_tree.py This file uses sklearn trees generally used for KNN calculation as an approximate metric tree for wasserstein distance. Further extensions are quadtree, and one based on hierarchical clustering. The idea is to use the tree with edge lengths as the (L2) distance between means. The distance between any two points embedded in this tree is then the geodesic distance along the tree. Note that this is an offline algorithm, we do not support adding points after the initial construction. """ import numpy as np from sklearn.base import BaseEstimator from sklearn.utils.validation import check_X_y, check_is_fitted from sklearn.neighbors import KDTree, BallTree, DistanceMetric from sklearn.cluster import MiniBatchKMeans from scipy.sparse import coo_matrix class QuadTree(object): """ This quadtree could be sped up, but is an easy implementation """ def __init__(self, X, n_levels=25, noise=1.0, *args, **kwargs): assert np.all(np.min(X, axis=0) >= 0) assert np.all(np.max(X, axis=0) <= 1) assert n_levels >= 1 self.kwargs = kwargs self.X = X self.noise = noise # self.X = self.X + np.random.randn(*self.X.shape) * noise self.dims = X.shape[1] self.n_clusters = 2 ** self.dims self.n_levels = n_levels center = np.random.rand(self.dims) * noise self.tree, self.indices, self.centers, self.dists = self._cluster( center, np.arange(X.shape[0]), n_levels=self.n_levels - 1, start=0 ) self.tree = [(0, self.X.shape[0], n_levels, 0), *self.tree] self.dists = np.array([0, *self.dists]) self.centers = [center, *self.centers] self.centers = np.array(self.centers) def _cluster(self, center, index, n_levels, start): """ Parameters ---------- bounds: [2 x D] matrix giving min / max of bounding box for this cluster """ if n_levels == 0 or len(index) == 0: return None labels = np.ones_like(index) * -1 dim_masks = np.array([self.X[index, d] > center[d] for d in range(self.dims)]) import itertools bin_masks = np.array(list(itertools.product([False, True], repeat=self.dims))) label_masks = np.all(bin_masks[..., None] == dim_masks[None, ...], axis=1) for i, mask in enumerate(label_masks): labels[mask] = i assert np.all(labels > -1) shift = 2 ** -(self.n_levels - n_levels + 2) shifts = np.array(list(itertools.product([-shift, shift], repeat=self.dims))) cluster_centers = shifts + center sorted_index = [] children = [] ccenters = [] cdists = [] is_leaf = [0] * self.n_clusters unique, ucounts = np.unique(labels, return_counts=True) counts = np.zeros(self.n_clusters, dtype=np.int32) for u, c in zip(unique, ucounts): counts[u] = c cstart = 0 for i, count, ccenter in zip(unique, counts, cluster_centers): ret = self._cluster( ccenter, index[labels == i], n_levels - 1, start + cstart ) if ret is None: sorted_index.extend(index[labels == i]) is_leaf[i] = 1 continue sorted_index.extend(ret[1]) children.extend(ret[0]) ccenters.extend(ret[2]) cdists.extend(ret[3]) cstart += count to_return = list( zip( *[ np.array([0, *np.cumsum(counts)]) + start, np.cumsum(counts) + start, [n_levels] * self.n_clusters, is_leaf, ] ) ) dists = np.linalg.norm(cluster_centers - center[None, :], axis=1) return ( [*to_return, *children], sorted_index, [*cluster_centers, *ccenters], [*dists, *cdists], ) def get_arrays(self): return None, self.indices, self.tree, self.centers, self.dists class ClusterTree(object): def __init__(self, X, n_clusters=10, n_levels=5, *args, **kwargs): self.X = X self.n_clusters = n_clusters self.n_levels = n_levels center = self.X.mean(axis=0) self.tree, self.indices, self.centers, self.dists = self._cluster( center, np.arange(X.shape[0]), n_levels=self.n_levels - 1, start=0 ) self.tree = [(0, self.X.shape[0], n_levels, n_levels == 1), *self.tree] self.centers = [center, *self.centers] self.dists = np.array([0, *self.dists]) self.centers = np.array(self.centers) def _cluster(self, center, index, n_levels, start): """ Returns a list of tuples corresponding to each subnode of the tree (center, level, start, end, is_leaf), sorted_index center is the cluster center level is the level of the node counting the root as the zeroth level sorted_index is athe list of """ if n_levels == 0 or len(index) < self.n_clusters: return None cl = MiniBatchKMeans(n_clusters=self.n_clusters) cl.fit(self.X[index]) sorted_index = [] children = [] ccenters = [] cdists = [] is_leaf = [0] * self.n_clusters unique, ucounts = np.unique(cl.labels_, return_counts=True) counts = np.zeros(self.n_clusters, dtype=np.int32) for u, c in zip(unique, ucounts): counts[u] = c cstart = 0 for i, count in zip(unique, counts): ret = self._cluster( cl.cluster_centers_[i], index[cl.labels_ == i], n_levels - 1, start + cstart, ) if ret is None: sorted_index.extend(index[cl.labels_ == i]) is_leaf[i] = 1 continue sorted_index.extend(ret[1]) children.extend(ret[0]) ccenters.extend(ret[2]) cdists.extend(ret[3]) cstart += count to_return = list( zip( *[ np.array([0, *np.cumsum(counts)]) + start, np.cumsum(counts) + start, [n_levels] * self.n_clusters, is_leaf, ] ) ) dists = np.linalg.norm(cl.cluster_centers_ - center[None, :], axis=1) return ( [*to_return, *children], sorted_index, [*cl.cluster_centers_, *ccenters], [*dists, *cdists], ) def get_arrays(self): return None, self.indices, self.tree, self.centers, self.dists class MetricTree(BaseEstimator): def __init__(self, tree_type="ball", leaf_size=40, metric="euclidean", **kwargs): self.tree_type = tree_type if tree_type == "ball": self.tree_cls = BallTree elif tree_type == "kd": self.tree_cls = KDTree elif tree_type == "cluster": self.tree_cls = ClusterTree elif tree_type == "quad": self.tree_cls = QuadTree else: raise NotImplementedError("Unknown tree type") self.kwargs = kwargs self.leaf_size = leaf_size self.metric = metric self.dist_fn = DistanceMetric.get_metric(metric) def get_node_weights(self): """ Takes the middle of the bounds as the node center for each node TODO (alex): This could be improved or at least experimented with """ node_weights = self.tree.get_arrays()[-1] if self.tree_type == "ball": centers = node_weights[0] n = centers.shape[0] # Subtracts the child from the parent relying on the order of nodes in the tree lengths = np.linalg.norm( centers[np.insert(np.arange(n - 1) // 2, 0, 0)] - centers[np.arange(n)], axis=1, ) return lengths elif self.tree_type == "kd": # Averages the two boundaries of the KD box centers = node_weights.mean(axis=0) n = centers.shape[0] # Subtracts the child from the parent relying on the order of nodes in the tree lengths = np.linalg.norm( centers[np.insert(np.arange(n - 1) // 2, 0, 0)] - centers[np.arange(n)], axis=1, ) return lengths elif self.tree_type == "cluster": return node_weights elif self.tree_type == "quad": return node_weights else: raise NotImplementedError("Unknown tree type") def fit_transform(self, X, y): """ X is data array (np array) y is one-hot encoded distribution index (np array of size # points x # distributions. """ X, y = check_X_y(X, y, accept_sparse=True, multi_output=True) self.classes_ = y.shape[1] # unique_labels(y) self.X_ = X self.y_ = y self.tree = self.tree_cls( X, leaf_size=self.leaf_size, metric=self.metric, **self.kwargs ) tree_indices = self.tree.get_arrays()[1] node_data = self.tree.get_arrays()[2] y_indices = y[tree_indices] # reorders point labels by tree order. self.edge_weights = self.get_node_weights() counts = np.empty((len(node_data), y.shape[1])) for node_idx in reversed(range(len(node_data))): start, end, is_leaf, radius = node_data[node_idx] # Find the number of points present in this range from each distribution counts[node_idx] = np.sum( y_indices[start:end], axis=0 ) # as y is a one-hot encoding, we just need to sum over the relevant bits. if np.issubdtype(y.dtype, np.floating): # if is floating then don't worry about the logic below self.counts_mtx = coo_matrix(counts).T return self.counts_mtx, self.edge_weights # convert to COO format dim = (self.classes_, len(node_data)) dist_list = np.arange(1, self.classes_ + 1) self.counts_mtx = coo_matrix(dim, dtype=np.int32) for i, count in enumerate(counts): if np.sum(count) == 0: # if no classes have signals in this region continue # get the signals with nonzero representation in the region # count is a list of the representation per distribution. # count_copy is used to eliminate distributions without representation count_copy = count.copy() count_copy[count_copy > 0] = 1 dists_represented = np.multiply(dist_list, count_copy) j_list = ( dists_represented[dists_represented != 0] - 1 ) # we added 1 to the distribution numbers to do the zero trick. val_list = count[count != 0] i_list = [i] * len(j_list) self.counts_mtx += coo_matrix( (val_list, (j_list, i_list)), shape=dim, dtype=np.int32 ) return self.counts_mtx, self.edge_weights def transform(self, X): """ Transforms datasets y to (L1) vector space. Returns vectors representing edge weights and weights over vector. """ check_is_fitted(self, "X_") if X != self.X_: raise ValueError("X transformed must equal fitted X") if __name__ == "__main__": mt = MetricTree(tree_type="cluster") gt = np.repeat(np.arange(10), 100) gt = ( (np.repeat(np.arange(max(gt) + 1)[:, None], len(gt), axis=1) == gt) .astype(int) .T ) counts, edge_weights = mt.fit_transform(X=np.random.random_sample((1000, 3)), y=gt) print(counts, edge_weights) print(counts.toarray()[:50])

from django.core.mail import EmailMultiAlternatives from django.http import JsonResponse from django.template.loader import render_to_string from django.utils.decorators import method_decorator from django.views.decorators.csrf import csrf_exempt from django.views.generic import CreateView from management.models import Feedback from sky_storage.settings import HOST, EMAIL_HOST_USER @method_decorator(csrf_exempt, name='dispatch') class AjaxFeedbackCreateView(CreateView): model = Feedback success_url = '/' fields = ('email', 'phone', 'name', 'message') def form_invalid(self, form): super().form_invalid(form) return JsonResponse(form.errors, status=400) def form_valid(self, form): super().form_valid(form) # todo use send email self.send_email() return JsonResponse({ 'pk': self.object.pk, }) def send_email(self): # todo write and use # send email using the self.cleaned_data dictionary form_kwargs = self.get_form_kwargs()["data"] context = { 'host': HOST, 'name': form_kwargs.get("name"), 'email': form_kwargs.get("email"), 'message': form_kwargs.get("message"), 'phone': form_kwargs.get("phone"), } text_content = f'Feedback from: {form_kwargs.get("name")}, with email: {form_kwargs.get("email")},' \ f' his message is: {form_kwargs.get("message")},and his phone number are:' \ f' {form_kwargs.get("phone")}' html_content = render_to_string('emails/feedback.html', context) msg = EmailMultiAlternatives('Feedback', text_content, f'{form_kwargs.get("name")}', [EMAIL_HOST_USER]) # msg.attach_alternative(html_content, "text/html") msg.send()

from bson import ObjectId class PymongoExecutor: def __init__(self, db): self.db = db def execute(self, expression): return eval(expression)

from .steps import AppsFlyerEventsStep from .steps import DestinationType THIRD_PARTY_STEPS = [AppsFlyerEventsStep]

import FWCore.ParameterSet.Config as cms from DQMOffline.Trigger.SiPixel_OfflineMonitoring_Cluster_cff import * from DQMOffline.Trigger.SiPixel_OfflineMonitoring_TrackCluster_cff import * from DQM.HLTEvF.dqmCorrelationClient_cfi import * pixelClusterVsLumi = dqmCorrelationClient.clone( me = cms.PSet( folder = cms.string("HLT/Pixel/"), name = cms.string("num_clusters_per_instLumi"), doXaxis = cms.bool( True ), nbinsX = cms.int32( 40 ), xminX = cms.double( 0.), xmaxX = cms.double(20000.), # doYaxis = cms.bool( False ), doYaxis = cms.bool( True ), nbinsY = cms.int32 ( 400 ), xminY = cms.double( 0.), xmaxY = cms.double( 400000.), ), me1 = cms.PSet( folder = cms.string("HLT/LumiMonitoring"), name = cms.string("lumiVsLS"), profileX = cms.bool(True) ), me2 = cms.PSet( folder = cms.string("HLT/Pixel"), name = cms.string("num_clusters_per_Lumisection_PXBarrel"), profileX = cms.bool(True) ), ) pixelClusterVsLumiPXBarrel = pixelClusterVsLumi.clone() pixelClusterVsLumiPXBarrel.me.name = "num_clusters_per_instLumi_PXBarrel" pixelClusterVsLumiPXBarrel.me2.name = "num_clusters_per_Lumisection_PXBarrel" pixelClusterVsLumiPXForward = pixelClusterVsLumi.clone() pixelClusterVsLumiPXForward.me.name = "num_clusters_per_instLumi_PXForward" pixelClusterVsLumiPXForward.me2.name = "num_clusters_per_Lumisection_PXForward" pixelTrackClusterVsLumiPXBarrel = pixelClusterVsLumi.clone() pixelTrackClusterVsLumiPXBarrel.me.folder = "HLT/Pixel/TrackClusters/" pixelTrackClusterVsLumiPXBarrel.me.name = "num_clusters_ontrack_per_instLumi_PXBarrel" pixelTrackClusterVsLumiPXBarrel.me2.folder = "HLT/Pixel/TrackClusters" pixelTrackClusterVsLumiPXBarrel.me2.name = "num_clusters_ontrack_per_Lumisection_PXBarrel" pixelTrackClusterVsLumiPXForward = pixelClusterVsLumi.clone() pixelTrackClusterVsLumiPXForward.me.folder = "HLT/Pixel/TrackClusters/" pixelTrackClusterVsLumiPXForward.me.name = "num_clusters_ontrack_per_instLumi_PXForward" pixelTrackClusterVsLumiPXForward.me2.folder = "HLT/Pixel/TrackClusters" pixelTrackClusterVsLumiPXForward.me2.name = "num_clusters_ontrack_per_Lumisection_PXForward" sipixelHarvesterHLTsequence = cms.Sequence( # hltSiPixelPhase1ClustersHarvester # + hltSiPixelPhase1TrackClustersHarvester pixelClusterVsLumiPXBarrel + pixelClusterVsLumiPXForward # + pixelTrackClusterVsLumiPXBarrel # + pixelTrackClusterVsLumiPXForward )

from django.apps import AppConfig class ChainsConfig(AppConfig): name = 'cajas.chains' verbose_name = 'Cadenas' def ready(self): try: import chains.signals # noqa F401 except ImportError: pass

from random import randint from data_structures.LinkedList import LinkedList from data_structures.Queue import Queue from data_structures.Stack import Stack def run_linked_list_demo(): print("\nRandomly generated linked list:") l_list = LinkedList() for i in range(10): num = randint(1, 100) print(f"Add {num}") l_list.add(num) def run_stack_demo(): print("\nRandomly generated stack") stack = Stack() for i in range(10): stack.push_random_number() popped = 1 while popped: popped = stack.pop() print(f"Popped {popped}") def run_queue_demo(): print("\nRandomly generated queue") queue = Queue() for i in range(10): num = randint(1, 100) print(f"Enqueue {num}") queue.Enqueue(num) deq = 1 while deq: deq = queue.Dequeue() print(f"Dequeued {deq}") def run(): run_linked_list_demo() run_stack_demo() run_queue_demo()

import pandas as pd from app.app.routing.graph import Graph def get_test_graph(): node_dict = { 'id': ['N1', 'N2', 'N3', 'N4'], 'lat': [52.3, 52.4, 52.4, 52.3], 'lon': [13.4, 13.4, 13.3, 13.3] } edge_dict = { 'node1': ['N1', 'N2', 'N3', 'N4'], 'node2': ['N2', 'N3', 'N4', 'N1'], 'distance': [30, 20, 20, 25] } nodes = pd.DataFrame.from_dict(node_dict) nodes.set_index('id', inplace=True) edges = pd.DataFrame(edge_dict) return Graph(nodes, edges)

from shared_utils import * from BaseModel import BaseModel from config import * import pymc3 as pm import pickle as pkl import pandas as pd import os import sys from config_window import start as startixs start = int(os.environ["SGE_DATE_ID"]) number_of_weeks = 3# int(sys.argv[4]) model_i = 35 start_date = pd.Timestamp("2020-01-28") + pd.Timedelta(start) #NOTE: for jureca, extend to the number of available cores (chains and cores!) num_samples = 250 num_chains = 4 num_cores = num_chains # whether to sample the parameters or load them SAMPLE_PARAMS = True # whether to sample predictions on training, test or both # SAMPLE_PREDS = "both" # can be "train", "test" or "both" disease = "covid19" prediction_region = "germany" # model 15 selected by WAICS # model 35 ohne report delay und mit trend order 1 # model 47 mit trend 4 use_ia, use_report_delay, use_demographics, trend_order, periodic_order = combinations[model_i] # Print Model Eigenschaften print("Model {} - IA: {} - RD: {} - DEMO: {} - Trend: {} - Per: {}".format( model_i, use_ia, use_report_delay, use_demographics, trend_order, periodic_order )) # use_interactions, use_report_delay = combinations_ia_report[model_complexity] filename_params = "../data/mcmc_samples_backup/parameters_{}_{}".format(disease,start) filename_pred = "../data/mcmc_samples_backup/predictions_{}_{}.pkl".format(disease, start) #filename_pred_nowcast = "../data/mcmc_samples_backup/predictions_nowcast_{}_model_{}_window_{}_{}.pkl".format(disease, model_i, start, number_of_weeks) filename_pred_trend = "../data/mcmc_samples_backup/predictions_trend_{}_{}.pkl".format(disease, start ) filename_model = "../data/mcmc_samples_backup/model_{}_{}.pkl".format(disease, start) import os print(os.getcwd()) print('../data/counties/counties.pkl') # Load data with open('../data/counties/counties.pkl', "rb") as f: county_info = pkl.load(f) # pad = days to look into the future #days_into_future = 5 #data = load_daily_data(disease, prediction_region, county_info, pad=days_into_future) days_into_future = 5 data = load_daily_data_n_weeks(start, number_of_weeks, disease, prediction_region, county_info, pad=days_into_future) first_day = data.index.min() last_day = data.index.max() data_train, target_train, data_test, target_test = split_data( data, train_start=first_day, test_start=last_day - pd.Timedelta(days=days_into_future+4), post_test=last_day + pd.Timedelta(days=1) ) tspan = (target_train.index[0], target_train.index[-1]) print("training for {} in {} with final model from {} to {}\nWill create files {}, {} and {}".format( disease, prediction_region, *tspan, filename_params, filename_pred, filename_model)) print(os.getcwd()) print('../data/iaeffect') year = str(start_date)[:4] month = str(start_date)[5:7] day = str(start_date)[8:10] model = BaseModel(tspan, county_info, ["../data/ia_effect_samples/{}_{}.pkl".format(disease, i) for i in range(100)], include_ia=use_ia, include_report_delay=use_report_delay, include_demographics=use_demographics, trend_poly_order=trend_order, periodic_poly_order=periodic_order) if SAMPLE_PARAMS: print("Sampling parameters on the training set.") trace = model.sample_parameters( target_train, samples=num_samples, tune=100, target_accept=0.95, max_treedepth=15, chains=num_chains, cores=num_cores, window=True) with open(filename_model, "wb") as f: pkl.dump(model.model, f) with model.model: pm.save_trace(trace, filename_params, overwrite=True) else: print("Load parameters.") trace = load_trace_window(disease,model_i, start, number_of_weeks ) print("Sampling predictions on the training and test set.") pred = model.sample_predictions(target_train.index, target_train.columns, trace, target_test.index, average_periodic_feature=False, average_all=False, window=True) pred_trend = model.sample_predictions(target_train.index, target_train.columns, trace, target_test.index, average_periodic_feature=False, average_all=True, window=True) with open(filename_pred, 'wb') as f: pkl.dump(pred, f) with open(filename_pred_trend, "wb") as f: pkl.dump(pred_trend, f)

class Solution: def singleNumber(self, A): extraNumber = reduce(lambda x, y: x ^ y, A) return extraNumber

import os ''' Class : sourceControl Description : A class processing file IO on the source received. ''' class sourceControl: preCode = None body = None postCode = None ''' Function : __init__(...) Description : A function that initializes the class Parameters : preCode : A source executed prior to the body source body : A source executed in the middle. User input from the dashboard is required. postCode : A source that wraps up the whole process. BE ADVISED : Unless there is a reason to modify both the preCode and postCode, do not put anything on both the preCode and postCode parameter. ''' def __init__(self, preCode = None, body = None, postCode = None): self.preCode = preCode self.body = body self.postCode = postCode self.storeSources() ''' Function : storeSources() Descriptions : A function that stores the sources received. ''' def storeSources(self): ''' if not self.preCode or not self.body or self.postCode: print("At least one of the source is empty\n") ''' fileDir = os.path.dirname(os.path.realpath('__file__')) pathPreCode = os.path.join(fileDir, 'enow/jython/pythonSrc/preCode.py') pathbodyCode = os.path.join(fileDir, 'enow/jython/pythonSrc/body.py') pathPostCode = os.path.join(fileDir, 'enow/jython/pythonSrc/preCode.py') # fPreCode = open(pathPreCode, "wb") fBodyCode = open(pathbodyCode, "wb") # fPostCode = open(pathPostCode, "wb") # fPreCode.seek(0) fBodyCode.seek(0) # fPostCode.seek(0) fBodyCode.truncate() fBodyCode.seek(0) # if self.preCode: # fPreCode.writelines(self.preCode) fBodyCode.write(self.body) # if self.postCode: # fPostCode.writelines(self.postCode) # fPreCode.close() fBodyCode.close() # fPostCode.close()

import json from hypernets.experiment import CompeteExperiment from hypernets.experiment import Experiment from hypernets.tabular import dask_ex as dex from hypernets.tests.model.plain_model_test import create_plain_model from hypernets.tests.tabular.dask_transofromer_test import setup_dask from hypernets.tabular.datasets import dsutils import numpy as np import pandas as pd from dask import dataframe as dd from dask.distributed import LocalCluster, Client from sklearn.preprocessing import LabelEncoder class Test_Get_character: @classmethod def setup_class(cls): setup_dask(cls) cls.boston = dd.from_pandas(dsutils.load_boston(), npartitions=1) cls.blood = dd.from_pandas(dsutils.load_blood(), npartitions=1) cls.bike_sharing = dd.from_pandas(dsutils.load_Bike_Sharing(), npartitions=1) # A test for multiclass task def experiment_with_bike_sharing(self, init_kwargs, run_kwargs, row_count=3000, with_dask=False): if with_dask: X = self.bike_sharing.copy() y = X.pop('count') y = y.astype('str') else: X = dsutils.load_Bike_Sharing() if row_count is not None: X = X.head(row_count) X['count'] = LabelEncoder().fit_transform(X['count']) y = X.pop('count') hyper_model = create_plain_model(with_encoder=True) X_train, X_test, y_train, y_test = \ dex.train_test_split(X, y, test_size=0.3, random_state=9527) X_train, X_eval, y_train, y_eval = \ dex.train_test_split(X_train, y_train, test_size=0.3, random_state=9527) init_kwargs = { 'X_eval': X_eval, 'y_eval': y_eval, 'X_test': X_test, **init_kwargs } compete_experiment = CompeteExperiment(hyper_model, X_train, y_train, **init_kwargs) base_experiment = Experiment(hyper_model, X_train, y_train, **init_kwargs) mydict_compete = compete_experiment.get_data_character() mydict_base = base_experiment.get_data_character() assert mydict_base assert mydict_compete assert mydict_base['experimentType'] is 'base' assert mydict_compete['experimentType'] is 'compete' assert mydict_base['target']['taskType'] is 'multiclass' assert mydict_base['target']['freq'] is None assert mydict_base['target']['unique'] assert mydict_base['target']['mean'] is None assert mydict_base['target']['max'] is None assert mydict_base['target']['min'] is None assert mydict_base['target']['stdev'] is None assert mydict_base['target']['dataType'] assert len(mydict_base['targetDistribution']) <= 10 assert mydict_base['datasetShape']['X_train'] assert mydict_base['datasetShape']['y_train'] assert mydict_base['datasetShape']['X_eval'] assert mydict_base['datasetShape']['y_eval'] assert mydict_base['datasetShape']['X_test'] assert mydict_compete['featureDistribution'] # A test for binary task def experiment_with_blood(self, init_kwargs, run_kwargs, row_count=3000, with_dask=False): if with_dask: X = self.blood.copy() y = X.pop('Class') else: X = dsutils.load_blood() if row_count is not None: X = X.head(row_count) X['Class'] = LabelEncoder().fit_transform(X['Class']) y = X.pop('Class') hyper_model = create_plain_model(with_encoder=True) X_train, X_test, y_train, y_test = \ dex.train_test_split(X, y, test_size=0.3, random_state=9527) X_train, X_eval, y_train, y_eval = \ dex.train_test_split(X_train, y_train, test_size=0.3, random_state=9527) init_kwargs = { 'X_eval': X_eval, 'y_eval': y_eval, 'X_test': X_test, **init_kwargs } compete_experiment = CompeteExperiment(hyper_model, X_train, y_train, **init_kwargs) base_experiment = Experiment(hyper_model, X_train, y_train, **init_kwargs) mydict_compete = compete_experiment.get_data_character() mydict_base = base_experiment.get_data_character() assert mydict_base assert mydict_compete assert mydict_base['experimentType'] is 'base' assert mydict_compete['experimentType'] is 'compete' assert mydict_base['target']['taskType'] is 'binary' assert mydict_base['target']['freq'] is not None assert mydict_base['target']['unique'] is 2 assert mydict_base['target']['mean'] is None assert mydict_base['target']['max'] is None assert mydict_base['target']['min'] is None assert mydict_base['target']['stdev'] is None assert mydict_base['target']['dataType'] assert len(mydict_base['targetDistribution']) <= 10 assert mydict_base['datasetShape']['X_train'] assert mydict_base['datasetShape']['y_train'] assert mydict_base['datasetShape']['X_eval'] assert mydict_base['datasetShape']['y_eval'] assert mydict_base['datasetShape']['X_test'] assert mydict_compete['featureDistribution'] # A test for regression task def experiment_with_boston(self, init_kwargs, run_kwargs, row_count=3000, with_dask=False): if with_dask: X = self.boston y = X.pop('target') else: X = dsutils.load_boston() if row_count is not None: X = X.head(row_count) X['target'] = LabelEncoder().fit_transform(X['target']) y = X.pop('target') y = y.astype('float64') hyper_model = create_plain_model(with_encoder=True) X_train, X_test, y_train, y_test = \ dex.train_test_split(X, y, test_size=0.3, random_state=9527) X_train, X_eval, y_train, y_eval = \ dex.train_test_split(X_train, y_train, test_size=0.3, random_state=9527) init_kwargs = { 'X_eval': X_eval, 'y_eval': y_eval, 'X_test': X_test, **init_kwargs } compete_experiment = CompeteExperiment(hyper_model, X_train, y_train, **init_kwargs) base_experiment = Experiment(hyper_model, X_train, y_train, **init_kwargs) mydict_compete = compete_experiment.get_data_character() mydict_base = base_experiment.get_data_character() assert mydict_base assert mydict_compete assert mydict_base['experimentType'] is 'base' assert mydict_compete['experimentType'] is 'compete' assert mydict_base['target']['taskType'] is 'regression' assert mydict_base['target']['freq'] is None assert mydict_base['target']['unique'] assert mydict_base['target']['mean'] is not None assert mydict_base['target']['max'] is not None assert mydict_base['target']['min'] is not None assert mydict_base['target']['stdev'] is not None assert mydict_base['target']['dataType'] is 'float' assert len(mydict_base['targetDistribution']) <= 10 assert mydict_base['datasetShape']['X_train'] assert mydict_base['datasetShape']['y_train'] assert mydict_base['datasetShape']['X_eval'] assert mydict_base['datasetShape']['y_eval'] assert mydict_base['datasetShape']['X_test'] assert mydict_compete['featureDistribution'] def test_multiclass_with_bike_sharing(self): self.experiment_with_bike_sharing({}, {}) self.experiment_with_bike_sharing({}, {}, with_dask = True) def test_binary_with_blood(self): self.experiment_with_blood({}, {}) self.experiment_with_blood({}, {}, with_dask = True) def test_regression_with_boston(self): self.experiment_with_boston({}, {}) self.experiment_with_boston({}, {}, with_dask = True)

import sst from sst.merlin.base import * from sst.merlin.endpoint import * from sst.merlin.topology import * from sst.merlin.interface import * from sst.merlin.router import * platdef = PlatformDefinition("platform_dragon") PlatformDefinition.registerPlatformDefinition(platdef) ##------------------------------------------------ routing_alogrithm = 'q-adaptive' # VALn ugal-g ugal-n par minimal q-adaptive num_msgs = 5000 msg_size = '128B' msg_interval = '64ns' pattern = 'Uniform' # Uniform, Tornado, Stencil_3D, FFT3D_all2all, RandomNeighbors dynamicload = False ##------------------------------------------------ #1056-node system hpr = 4 rpg = 8 inter_link = 1 num_group = 33 size3dx = 4 size3dy = 8 size3dz = 33 #2550-node system: # hpr = 5 # rpg = 10 # inter_link = 1 # num_group = 51 # size3dx = 5 # size3dy = 10 # size3dz = 51 platdef.addParamSet("topology",{ "hosts_per_router" : hpr, "routers_per_group" : rpg, "intergroup_links" : inter_link, "num_groups" : num_group, }) platdef.addParamSet("topology",{ "algorithm" : routing_alogrithm, 'link_lat_host' : '10ns', 'link_lat_local' : '30ns', 'link_lat_global' : '300ns', }) platdef.addParamSet("topology",{ "adaptive_threshold": 2, }) platdef.addParamSet("topology",{ "learning_rate": 0.2, "learning_rate2": 0.04, "epsilon": 0.001, "q_threshold1": 0.2, "q_threshold2": 0.35, "save_qtable": 'yes', "save_qtable_time": 1000, ##us }) platdef.addClassType("topology","sst.merlin.topology.topoDragonFly") platdef.addParamSet("router",{ "link_bw" : '4GB/s', "link_bw:host" : '4GB/s', "xbar_bw" : '40GB/s', "flit_size" : '128B', "input_buf_size" : '2560B', "output_buf_size" : '2560B', "input_latency" : "10ns", "output_latency" : "10ns", "input_buf_size:host" : '2560B', "output_buf_size:host" : '2560B', "num_vns" : 1, "xbar_arb" : "merlin.xbar_arb_lru", }) platdef.addClassType("router","sst.merlin.base.hr_router") platdef.addParamSet("network_interface",{ "link_bw" : '4GB/s', "input_buf_size" : '2560B', "output_buf_size" : '2560B', }) #platdef.addClassType("network_interface","sst.merlin.base.ReorderLinkControl") platdef.addClassType("network_interface","sst.merlin.interface.LinkControl") PlatformDefinition.setCurrentPlatform("platform_dragon") # Allocate the system. This will create the topology since it's # set up in the platform file system = System() ### set up the endpoint #---------------------------------------- syssize = system.topology.getNumNodes() ep = TrafficGenJob(0, syssize) ep.packets_to_send = num_msgs ep.packet_size = msg_size ep.delay_between_packets = msg_interval ep.message_rate = '1GHz' ep.extargs["PacketDest:pattern"] = pattern if dynamicload: ep.extargs["PacketDelay:pattern"] = "Step" ep.extargs["PacketDelay:packet_delay_list"] = ['160ns', '80ns'] ep.extargs["PacketDelay:packet_num_list"] = [1000,1000] if pattern == 'Tornado': ep.topology = 'dragonfly' ep.extargs["dragonfly:hosts_per_router"] = hpr ep.extargs["dragonfly:routers_per_group"] = rpg ep.extargs["dragonfly:num_groups"] = num_group ep.extargs["Tornado:shift"] = 1 if pattern == 'Stencil_3D': ep.extargs["PacketDest:Stencil_3D:3DSize"] = "{} {} {}".format(size3dx, size3dy, size3dz) if pattern == 'FFT3D_all2all': ep.extargs["PacketDest:FFT3D_all2all:3DSize"] = "{} {} {}".format(size3dx, size3dy, size3dz) if pattern == 'RandomNeighbors': ep.extargs["PacketDest:RandomNeighbors:range_min"] = 6 ep.extargs["PacketDest:RandomNeighbors:range_max"] = 21 system.allocateNodes(ep,"linear") system.build() sst.setStatisticLoadLevel(9) sst.setStatisticOutput("sst.statOutputCSV") sst.setStatisticOutputOptions({ "filepath" : 'stats.csv', "separator" : ", " }) sst.enableAllStatisticsForAllComponents()

import sqlite3 from tqdm import tqdm def is_number(val): try: float(val) return True except Exception as e: return False def init_autocomplete(schema, db_path, redis, debug=False): if debug: print('Flushing autocomplete...', end='') redis.delete(schema.db_id) if debug: print('Done') conn = sqlite3.connect(db_path) conn.text_factory = bytes phrases = {} if debug: print('Retrieving phrases from columns...') iterator = schema.columns if debug: iterator = tqdm(iterator) for col in iterator: if col.type != 'text' or col.syn_name == '*': continue cur = conn.cursor() cur.execute(f'SELECT DISTINCT "{col.syn_name}" FROM "{col.table.syn_name}"') for phrase in cur.fetchall(): if phrase[0] and not is_number(phrase[0]): try: val = phrase[0].decode() cleaned = val.strip().lower() phrase_key = f'{cleaned}\t{val}' if phrase_key not in phrases: phrases[phrase_key] = [] phrases[phrase_key].append(str(col.id)) except Exception as e: continue if debug: print('Storing phrases in autocomplete...') phrases = [f'{k}\t{",".join(v)}' for k, v in phrases.items()] batch_size = 20000 iterator = range(0, len(phrases), batch_size) if debug: iterator = tqdm(iterator) for start in iterator: end = start + batch_size redis.zadd(schema.db_id, dict.fromkeys(phrases[start:end], 0), nx=True)

from django.urls import path,include from .views import CustomUserCreate from rest_framework.authtoken.views import obtain_auth_token urlpatterns = [ path('create-user/', CustomUserCreate.as_view(), name="create_user"), path('auth/', include('dj_rest_auth.urls')), path('teacher/', include('api.teacher.urls')), path('class/', include('api.class.urls')), ]

#!/usr/bin/python # # Copyright 2016 British Broadcasting Corporation and Contributors(1) # # (1) Contributors are listed in the AUTHORS file (please extend AUTHORS, # not this header) # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import json import sys print "Content-type: application/json" print raw_stdin = sys.stdin.read() myjson = json.loads(raw_stdin) file_tag = str(myjson["repr"]["id"]) z = open("../upload/%s.json" % file_tag) rj = z.read() j = json.loads(rj) z.close() record = j["myjson"] record = json.loads(record) program_xml= record["repr"] print json.dumps(program_xml)

#!/usr/bin/env python # -*- coding: utf-8 -*- # # date: 2018/4/15 # author: he.zhiming # from __future__ import unicode_literals, absolute_import import logging import logging.config class LogFactory: _LOG_CONFIG_DICT = { } logging.config.dictConfig(_LOG_CONFIG_DICT) @classmethod def get_logger(cls, logger_name) -> logging.Logger: return logging.getLogger(logger_name) DEBUGGER = LogFactory.get_logger('debugger') CONSOLE_LOGGER = LogFactory.get_logger('console_logger')

"""Test ISY994 system health.""" import asyncio from unittest.mock import Mock from aiohttp import ClientError from openpeerpower.components.isy994.const import DOMAIN, ISY994_ISY, ISY_URL_POSTFIX from openpeerpower.const import CONF_HOST from openpeerpower.setup import async_setup_component from .test_config_flow import MOCK_HOSTNAME, MOCK_UUID from tests.common import MockConfigEntry, get_system_health_info MOCK_ENTRY_ID = "cad4af20b811990e757588519917d6af" MOCK_CONNECTED = "connected" MOCK_HEARTBEAT = "2021-05-01T00:00:00.000000" async def test_system_health(opp, aioclient_mock): """Test system health.""" aioclient_mock.get(f"http://{MOCK_HOSTNAME}{ISY_URL_POSTFIX}", text="") opp.config.components.add(DOMAIN) assert await async_setup_component(opp, "system_health", {}) MockConfigEntry( domain=DOMAIN, entry_id=MOCK_ENTRY_ID, data={CONF_HOST: f"http://{MOCK_HOSTNAME}"}, unique_id=MOCK_UUID, ).add_to_opp(opp) opp.data[DOMAIN] = {} opp.data[DOMAIN][MOCK_ENTRY_ID] = {} opp.data[DOMAIN][MOCK_ENTRY_ID][ISY994_ISY] = Mock( connected=True, websocket=Mock( last_heartbeat=MOCK_HEARTBEAT, status=MOCK_CONNECTED, ), ) info = await get_system_health_info(opp, DOMAIN) for key, val in info.items(): if asyncio.iscoroutine(val): info[key] = await val assert info["host_reachable"] == "ok" assert info["device_connected"] assert info["last_heartbeat"] == MOCK_HEARTBEAT assert info["websocket_status"] == MOCK_CONNECTED async def test_system_health_failed_connect(opp, aioclient_mock): """Test system health.""" aioclient_mock.get(f"http://{MOCK_HOSTNAME}{ISY_URL_POSTFIX}", exc=ClientError) opp.config.components.add(DOMAIN) assert await async_setup_component(opp, "system_health", {}) MockConfigEntry( domain=DOMAIN, entry_id=MOCK_ENTRY_ID, data={CONF_HOST: f"http://{MOCK_HOSTNAME}"}, unique_id=MOCK_UUID, ).add_to_opp(opp) opp.data[DOMAIN] = {} opp.data[DOMAIN][MOCK_ENTRY_ID] = {} opp.data[DOMAIN][MOCK_ENTRY_ID][ISY994_ISY] = Mock( connected=True, websocket=Mock( last_heartbeat=MOCK_HEARTBEAT, status=MOCK_CONNECTED, ), ) info = await get_system_health_info(opp, DOMAIN) for key, val in info.items(): if asyncio.iscoroutine(val): info[key] = await val assert info["host_reachable"] == {"error": "unreachable", "type": "failed"}

import struct # particles format version 0 PARS_FMT_VER_0 = 0 # particles format support versions PARS_FMT_SUPP = (PARS_FMT_VER_0, ) # particle attributes # position POS = 0 # velocity VEL = 1 # color COL = 2 # material id MAT = 3 def write_pars_v0(par_data): data = bytearray() # particles format version data.extend(struct.pack('I', 0)) # particles count pars_cnt = len(par_data[POS]) data.extend(struct.pack('I', pars_cnt)) print('Particles count:', pars_cnt) # par_i - particles index for par_i in range(pars_cnt): data.extend(struct.pack('3f', *par_data[POS][par_i])) data.extend(struct.pack('3f', *par_data[VEL][par_i])) data.extend(struct.pack('I', par_data[COL][par_i])) data.extend(struct.pack('I', par_data[MAT][par_i])) return data def read_pars_v0(data, caches, offs, folder): # particles positions pos = [] # particles velocities vel = [] # particles colors col = [] # particles materials mat = [] # particles count count = struct.unpack('I', data[offs : offs + 4])[0] offs += 4 for index in range(count): # particle position p_pos = struct.unpack('3f', data[offs : offs + 12]) offs += 12 pos.append(p_pos) # particle velocity p_vel = struct.unpack('3f', data[offs : offs + 12]) offs += 12 vel.append(p_vel) # particle color p_col = struct.unpack('I', data[offs : offs + 4])[0] offs += 4 col.append(p_col) # particle material p_mat = struct.unpack('I', data[offs : offs + 4])[0] offs += 4 mat.append(p_mat) caches[folder] = {POS: pos, VEL: vel, COL: col, MAT: mat} # read particles def read_pars(data, caches, folder): # read offset in file offs = 0 # particles format version ver = struct.unpack('I', data[offs : offs + 4])[0] offs += 4 if not ver in PARS_FMT_SUPP: msg = 'Unsupported particles format version: {0}'.format(ver) raise BaseException(msg) if ver == PARS_FMT_VER_0: read_pars_v0(data, caches, offs, folder)

class Solution: def XXX(self, root: TreeNode) -> bool: def depth(root): if(not root):return 0 left=depth(root.left) if(left==-1):return -1 right=depth(root.right) if(right==-1):return -1 return max(left,right)+1 if abs(left-right)<2 else -1 return depth(root)!=-1

# coding=utf-8 # Runner for daemon import os from pyramid.paster import get_appsettings from pyramid.paster import setup_logging from tracim_backend.config import CFG from tracim_backend.lib.mail_notifier.daemon import MailSenderDaemon config_uri = os.environ["TRACIM_CONF_PATH"] setup_logging(config_uri) settings = get_appsettings(config_uri) settings.update(settings.global_conf) app_config = CFG(settings) app_config.configure_filedepot() daemon = MailSenderDaemon(app_config, burst=False) daemon.run()

#!/usr/bin/python3 """ Calculates the size of the hypotenuse of a right triangle, using the Pythagorean Theorem. a**2 + b**2 = c**2 Basically, the theorem says: - the sum of the squares of the legs, is equal to the square of the hypotenuse """ from math import sqrt __author__ = "@ivanleoncz" def hypotenuse_calc(): """ Calculates the hypotenuse. """ leg_a = int(input("\nSize of leg A: ")) leg_b = int(input("Size of leg B: ")) squared_a = leg_a ** 2 squared_b = leg_b ** 2 hypotenuse_c = squared_a + squared_b return "Hypotenuse: %s " % int(sqrt(hypotenuse_c)) print(hypotenuse_calc(),"\n")

from torch.utils import data import torch import numpy as np from model_training.utils import loadmat, CustomTensorDataset, load_weights, load_labels, resample, slide_and_cut, load_challenge_data from utils.denoising import filter_and_detrend import neurokit2 as nk import os # from process.extract_peak_targets import get_target_peaks as get_target_peak_bak class CustomDataset(data.Dataset): """ PyTorch Dataset generator class Ref: https://stanford.edu/~shervine/blog/pytorch-how-to-generate-data-parallel """ def __init__(self, label_files, labels_onehot, label_dir, leads_index, name_list_full=[], transform=None, sample_rate=500, to_get_feature=False): """Initialization""" self.file_names_list = label_files self.label_dir = label_dir self.labels_onehot = labels_onehot self.class_weights = self.get_class_weights() self.leads_index = leads_index self.transform = transform self.to_get_feature = to_get_feature self.sample_rate = sample_rate # self.normalization = TNormalize() def __len__(self): """Return total number of data samples""" return len(self.file_names_list) def __getitem__(self, idx): """Generate data sample""" sample_file_name = self.file_names_list[idx] # header_file_name = self.file_names_list[idx][:-3] + "hea" label = self.labels_onehot[idx] recording, header, name = load_challenge_data(sample_file_name, self.label_dir) # get class_weight by name class_weight, data_source = self.get_class_weight_and_source_by_name(name) # divide ADC_gain and resample recording = resample(recording, header, resample_Fs=self.sample_rate) for lead in recording: assert np.isnan(lead).any() == False # if lead.sum() == 0: # print(idx) # to extract features # recording = self.normalization(recording) feature = np.zeros((50,)) if self.to_get_feature: feature = self.get_features(recording) feature = torch.tensor(feature) if self.transform is not None: recording = self.transform(recording) recording = filter_and_detrend(recording) # recording = nk.ecg_clean(recording, method='biosppy') # # slide and cut # recording = slide_and_cut(recording, n_segment=1, window_size=4992, sampling_rate=500) # recording = recording[0] # to filter and detrend samples recording = recording[self.leads_index, :] recording = torch.tensor(recording) label = torch.tensor(label) class_weight = torch.tensor(class_weight) data_source = torch.tensor(data_source) if self.to_get_feature: return recording, label, class_weight, data_source, feature return recording, label, class_weight def get_class_weights(self): classes = "164889003,164890007,6374002,426627000,733534002,713427006,270492004,713426002,39732003,445118002,164947007,251146004,111975006,698252002,426783006,63593006,10370003,365413008,427172004,164917005,47665007,427393009,426177001,427084000,164934002,59931005" ### equivalent SNOMED CT codes merged, noted as the larger one classes = classes.split(',') CPSC_classes = ['270492004', '164889003', '733534002', '63593006', '426783006', '713427006'] # "59118001" = "713427006" CPSC_class_weight = np.zeros((26,)) for cla in CPSC_classes: CPSC_class_weight[classes.index(cla)] = 1 # CPSC_extra CPSC_extra_excluded_classes = ['6374002', '39732003', '445118002', '251146004', '365413008', '164947007', '365413008', '164947007', '698252002', '426783006', '10370003', '111975006', '164917005', '47665007', '427393009', '426177001', '164934002', '59931005'] CPSC_extra_class_weight = np.ones((26,)) for cla in CPSC_extra_excluded_classes: CPSC_extra_class_weight[classes.index(cla)] = 0 # PTB-XL PTB_XL_excluded_classes = ['6374002', '426627000', '365413008', '427172004'] # , '17338001' PTB_XL_class_weight = np.ones((26,)) for cla in PTB_XL_excluded_classes: PTB_XL_class_weight[classes.index(cla)] = 0 # PTB_XL_class_weight[classes.index('426783006')] = 0.1 # G12ECG G12ECG_excluded_classes = ['10370003', '365413008', '164947007'] G12ECG_class_weight = np.ones((26,)) for cla in G12ECG_excluded_classes: G12ECG_class_weight[classes.index(cla)] = 0 # Chapman Shaoxing Chapman_excluded_classes = ['6374002', '426627000', '713426002', '445118002', '10370003', '365413008', '427172004', '427393009', '63593006'] Chapman_class_weight = np.ones((26,)) for cla in Chapman_excluded_classes: Chapman_class_weight[classes.index(cla)] = 0 # Ningbo Ningbo_excluded_classes = ['164889003', '164890007', '426627000'] Ningbo_class_weight = np.ones((26,)) for cla in Ningbo_excluded_classes: Ningbo_class_weight[classes.index(cla)] = 0 return [CPSC_extra_class_weight, CPSC_extra_class_weight, PTB_XL_class_weight, G12ECG_class_weight, Chapman_class_weight, Ningbo_class_weight] def get_class_weight_and_source_by_name(self, name): if name[0] == 'A': # CPSC class_weight = self.class_weights[0] data_source_class = 0 elif name[0] == 'Q': # CPSC-extra class_weight = self.class_weights[1] data_source_class = 2 elif name[0] == 'H': # PTB-XL class_weight = self.class_weights[2] data_source_class = 0 elif name[0] == 'E': # G12ECG class_weight = self.class_weights[3] data_source_class = 1 elif name[0] == 'J' and int(name[2:]) <= 10646: # Chapman class_weight = self.class_weights[4] data_source_class = 2 elif name[0] == 'J' and int(name[2:]) > 10646: # Ningbo class_weight = self.class_weights[5] data_source_class = 2 elif name[0] == 'S' or name[0] == 'I': # Ningbo class_weight = np.zeros((26,)) data_source_class = 2 return class_weight, data_source_class class CustomDataset4PeakDetection(CustomDataset): """ PyTorch Dataset generator class Ref: https://stanford.edu/~shervine/blog/pytorch-how-to-generate-data-parallel """ def __init__(self, label_files, labels_onehot, label_dir, leads_index, name_list_full=[], sample_rate=500, transform=None, to_get_feature=False): super().__init__(label_files, labels_onehot, label_dir, leads_index, name_list_full=name_list_full, sample_rate=sample_rate, transform=transform, to_get_feature=to_get_feature) name_list_full_path = './name_list_all.npy' self.name_list_full = np.load(name_list_full_path) # load peak targets if os.path.exists('./peak_targets_full_v2.npy') == False: os.system('gunzip ./peak_targets_full_v2.npy.gz') self.peak_targets_full = np.load('./peak_targets_full_v2.npy') print("get peak target") def __getitem__(self, idx): """Generate data sample""" sample_file_name = self.file_names_list[idx] # header_file_name = self.file_names_list[idx][:-3] + "hea" label = self.labels_onehot[idx] recording, header, name = load_challenge_data(sample_file_name, self.label_dir) # get class_weight by name class_weight, data_source = self.get_class_weight_and_source_by_name(name) # divide ADC_gain and resample recording = resample(recording, header, resample_Fs=self.sample_rate) for lead in recording: assert np.isnan(lead).any() == False # if lead.sum() == 0: # print(idx) # to extract features # recording = self.normalization(recording) if self.transform is not None: recording = self.transform(recording) assert len(recording) <= 4992 recording = filter_and_detrend(recording) # recording = nk.ecg_clean(recording, method='biosppy') # target_peaks, _ = get_target_peak_bak(recording, type_num=5) # target_peaks = self.get_target_peaks(recording) target_peaks = self.peak_targets_full[np.where(self.name_list_full==name)] recording = recording[self.leads_index, :] recording = torch.tensor(recording) label = torch.tensor(label) # class_weight = torch.tensor([0]) # data_source = torch.tensor([0]) target_peaks = torch.tensor(target_peaks[0]) # print(recording.size(), label.size(), class_weight.size(), target_peaks.size()) return recording, label, class_weight, target_peaks

import string import emoji main_special_characters = string.punctuation + string.digits + string.whitespace other_special_characters = ( "   　 ’“”–ー一▬…✦�£•€«»°·═" "×士＾˘⇓↓↑←→（）§″′´¿−±∈¢ø‚„½¼¾¹²³―⁃，ˌ¸‹›ʺˈʻ¦‐⠀‰‑≤≥‖" "◆●■►▼▲▴∆▻¡★☆✱ːº。¯˜¥ɪ≈†上ン：∼⁄・♡✓⊕․．⋅÷１‟；،、¨ाাी्े◦˚" "゜ʼ≖ʼ¤ッツシ℃√！【】‿∞➤～πه۩☛₨➩☻๑٪♥ıॽ《‘©﴿٬？▷Г♫∟™ª₪®「—❖" "」﴾》" ) emoji = list(emoji.UNICODE_EMOJI["en"].keys()) special_characters_default = set(main_special_characters + other_special_characters) special_characters_default.update(emoji) parameters_filtering_default = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": False, "length_word_max_cutoff": 50, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.4, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": False, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.70, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_af = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.6, "cond_check_perplexity": True, "perplexity_max_cutoff": 3000000, } parameters_filtering_ar = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.45, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 1000000, } parameters_filtering_arz = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.5, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_as = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_bn = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.275, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.05, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 575000, } parameters_filtering_ca = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.35, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 1750000, } parameters_filtering_en = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": True, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 20, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.4, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.3, "cond_check_flagged_words": True, "flagged_words_max_cutoff": 0.045, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.80, "cond_check_perplexity": True, "perplexity_max_cutoff": 2500, } parameters_filtering_es = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.2, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 2500000, } parameters_filtering_eu = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 35, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_fr = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.35, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.15, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 3000000, } parameters_filtering_gu = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 250000, } parameters_filtering_hi = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 25, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.35, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 600000, } parameters_filtering_id = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.25, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 2500000, } parameters_filtering_kn = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 50, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 400000, } parameters_filtering_ml = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 50, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.2, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 1600000, } parameters_filtering_mr = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 425000, } parameters_filtering_pt = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0.15, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": True, "perplexity_max_cutoff": 3000000, } parameters_filtering_so = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": False, "length_word_max_cutoff": 1000, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": False, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_sw = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.275, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_ta = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 50, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_te = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 35, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.25, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_ur = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.4, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_vi = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.35, "cond_words_augmentation": True, "words_augmentation_group_sizes": [2, 3], "words_augmentation_join_char": " ", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_yo = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": True, "length_word_max_cutoff": 30, "cond_check_number_words": True, "tokenization": False, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.3, "cond_words_augmentation": False, "words_augmentation_group_sizes": [], "words_augmentation_join_char": "", "cond_check_stopwords": True, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering_zh = { "cond_uniform_whitespace": True, "cond_replace_unicode_punctuation": False, "cond_remove_words_with_incorrect_substrings": False, "incorrect_word_substrings": ["http", "www", ".com", "href", "//"], "cond_remove_long_words": False, "length_word_max_cutoff": 1000, "cond_check_number_words": True, "tokenization": True, "strip_characters": special_characters_default, "number_words_min_cutoff": 1, "number_words_max_cutoff": 100000, "cond_check_character_repetition_removal": True, "character_repetition_length": 10, "character_repetition_max_cutoff": 0.106, "cond_check_word_repetition_removal": True, "word_repetition_length": 5, "word_repetition_max_cutoff": 0.19, "cond_check_special_characters": True, "special_characters": special_characters_default, "special_characters_max_cutoff": 0.4, "cond_words_augmentation": True, "words_augmentation_group_sizes": [2, 3], "words_augmentation_join_char": "", "cond_check_stopwords": False, "stopwords_min_cutoff": 0, "cond_check_flagged_words": False, "flagged_words_max_cutoff": 0.2, "cond_check_lang_id": True, "lang_id_min_cutoff": 0.75, "cond_check_perplexity": False, "perplexity_max_cutoff": 3000000, } parameters_filtering = { "default": parameters_filtering_default, "af": parameters_filtering_af, "ar": parameters_filtering_ar, "arz": parameters_filtering_arz, "as": parameters_filtering_as, "bn": parameters_filtering_bn, "ca": parameters_filtering_ca, "en": parameters_filtering_en, "es": parameters_filtering_es, "eu": parameters_filtering_eu, "fr": parameters_filtering_fr, "gu": parameters_filtering_gu, "hi": parameters_filtering_hi, "id": parameters_filtering_id, "kn": parameters_filtering_kn, "ml": parameters_filtering_ml, "mr": parameters_filtering_mr, "pt": parameters_filtering_pt, "so": parameters_filtering_so, "sw": parameters_filtering_sw, "ta": parameters_filtering_ta, "te": parameters_filtering_te, "ur": parameters_filtering_ur, "vi": parameters_filtering_vi, "yo": parameters_filtering_yo, "zh": parameters_filtering_zh, }

# Copyright 2020 The Trieste Contributors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from typing import Dict import pytest import numpy.testing as npt import tensorflow as tf from trieste.acquisition.function import NegativeLowerConfidenceBound from trieste.acquisition.rule import ( EfficientGlobalOptimization, ThompsonSampling, TrustRegion, OBJECTIVE, ) from trieste.data import Dataset from trieste.models import ProbabilisticModel from trieste.space import SearchSpace, DiscreteSearchSpace, Box from tests.util.misc import one_dimensional_range, zero_dataset from tests.util.model import QuadraticWithUnitVariance @pytest.mark.parametrize('datasets', [{}, {"foo": zero_dataset()}]) @pytest.mark.parametrize( 'models', [{}, {"foo": QuadraticWithUnitVariance()}, {OBJECTIVE: QuadraticWithUnitVariance()}] ) def test_trust_region_raises_for_missing_datasets_key( datasets: Dict[str, Dataset], models: Dict[str, ProbabilisticModel] ) -> None: search_space = one_dimensional_range(-1, 1) rule = TrustRegion() with pytest.raises(KeyError): rule.acquire(search_space, datasets, models, None) @pytest.mark.parametrize('models', [ {}, {"foo": QuadraticWithUnitVariance()}, {"foo": QuadraticWithUnitVariance(), OBJECTIVE: QuadraticWithUnitVariance()} ]) @pytest.mark.parametrize('datasets', [{}, {OBJECTIVE: zero_dataset()}]) def test_thompson_sampling_raises_for_invalid_models_keys( datasets: Dict[str, Dataset], models: Dict[str, ProbabilisticModel] ) -> None: search_space = one_dimensional_range(-1, 1) rule = ThompsonSampling(100, 10) with pytest.raises(ValueError): rule.acquire(search_space, datasets, models) @pytest.mark.parametrize('search_space, expected_minimum', [ ( DiscreteSearchSpace(tf.constant([[-2.2, -1.0], [0.1, -0.1], [1.3, 3.3]])), tf.constant([[0.1, -0.1]]) ), (Box(tf.constant([-2.2, -1.0]), tf.constant([1.3, 3.3])), tf.constant([[0.0, 0.0]])), ]) def test_ego(search_space: SearchSpace, expected_minimum: tf.Tensor) -> None: ego = EfficientGlobalOptimization(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.zeros([0, 2]), tf.zeros([0, 1])) query_point, _ = ego.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()} ) npt.assert_array_almost_equal(query_point, expected_minimum, decimal=5) def test_trust_region_for_default_state() -> None: tr = TrustRegion(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.constant([[0.1, 0.2]]), tf.constant([[0.012]])) lower_bound = tf.constant([-2.2, -1.0]) upper_bound = tf.constant([1.3, 3.3]) search_space = Box(lower_bound, upper_bound) query_point, state = tr.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()}, None ) npt.assert_array_almost_equal(query_point, tf.constant([[0.0, 0.0]]), 5) npt.assert_array_almost_equal(state.acquisition_space.lower, lower_bound) npt.assert_array_almost_equal(state.acquisition_space.upper, upper_bound) npt.assert_array_almost_equal(state.y_min, [0.012]) assert state.is_global def test_trust_region_successful_global_to_global_trust_region_unchanged() -> None: tr = TrustRegion(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.constant([[0.1, 0.2], [-0.1, -0.2]]), tf.constant([[0.4], [0.3]])) lower_bound = tf.constant([-2.2, -1.0]) upper_bound = tf.constant([1.3, 3.3]) search_space = Box(lower_bound, upper_bound) eps = 0.5 * (search_space.upper - search_space.lower) / 10 previous_y_min = dataset.observations[0] is_global = True previous_state = TrustRegion.State(search_space, eps, previous_y_min, is_global) query_point, current_state = tr.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()}, previous_state ) npt.assert_array_almost_equal(current_state.eps, previous_state.eps) assert current_state.is_global npt.assert_array_almost_equal(query_point, tf.constant([[0.0, 0.0]]), 5) npt.assert_array_almost_equal(current_state.acquisition_space.lower, lower_bound) npt.assert_array_almost_equal(current_state.acquisition_space.upper, upper_bound) def test_trust_region_for_unsuccessful_global_to_local_trust_region_unchanged() -> None: tr = TrustRegion(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.constant([[0.1, 0.2], [-0.1, -0.2]]), tf.constant([[0.4], [0.5]])) lower_bound = tf.constant([-2.2, -1.0]) upper_bound = tf.constant([1.3, 3.3]) search_space = Box(lower_bound, upper_bound) eps = 0.5 * (search_space.upper - search_space.lower) / 10 previous_y_min = dataset.observations[0] is_global = True acquisition_space = search_space previous_state = TrustRegion.State(acquisition_space, eps, previous_y_min, is_global) query_point, current_state = tr.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()}, previous_state ) npt.assert_array_almost_equal(current_state.eps, previous_state.eps) assert not current_state.is_global npt.assert_array_less(lower_bound, current_state.acquisition_space.lower) npt.assert_array_less(current_state.acquisition_space.upper, upper_bound) assert query_point[0] in current_state.acquisition_space def test_trust_region_for_successful_local_to_global_trust_region_increased() -> None: tr = TrustRegion(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.constant([[0.1, 0.2], [-0.1, -0.2]]), tf.constant([[0.4], [0.3]])) lower_bound = tf.constant([-2.2, -1.0]) upper_bound = tf.constant([1.3, 3.3]) search_space = Box(lower_bound, upper_bound) eps = 0.5 * (search_space.upper - search_space.lower) / 10 previous_y_min = dataset.observations[0] is_global = False acquisition_space = Box(dataset.query_points - eps, dataset.query_points + eps) previous_state = TrustRegion.State(acquisition_space, eps, previous_y_min, is_global) query_point, current_state = tr.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()}, previous_state ) npt.assert_array_less(previous_state.eps, current_state.eps) # current TR larger than previous assert current_state.is_global npt.assert_array_almost_equal(current_state.acquisition_space.lower, lower_bound) npt.assert_array_almost_equal(current_state.acquisition_space.upper, upper_bound) def test_trust_region_for_unsuccessful_local_to_global_trust_region_reduced() -> None: tr = TrustRegion(NegativeLowerConfidenceBound(0).using(OBJECTIVE)) dataset = Dataset(tf.constant([[0.1, 0.2], [-0.1, -0.2]]), tf.constant([[0.4], [0.5]])) lower_bound = tf.constant([-2.2, -1.0]) upper_bound = tf.constant([1.3, 3.3]) search_space = Box(lower_bound, upper_bound) eps = 0.5 * (search_space.upper - search_space.lower) / 10 previous_y_min = dataset.observations[0] is_global = False acquisition_space = Box(dataset.query_points - eps, dataset.query_points + eps) previous_state = TrustRegion.State(acquisition_space, eps, previous_y_min, is_global) query_point, current_state = tr.acquire( search_space, {OBJECTIVE: dataset}, {OBJECTIVE: QuadraticWithUnitVariance()}, previous_state ) npt.assert_array_less(current_state.eps, previous_state.eps) # current TR smaller than previous assert current_state.is_global npt.assert_array_almost_equal(current_state.acquisition_space.lower, lower_bound)

import matplotlib.pyplot as plt import numpy as np import copy import time def brute_force_find_max(array): max_profit = 0 max_left = 0 max_right = 0 for i in range(len(array)): profit = 0 for j in range(i, len(array)-1): profit = profit + array[j] if profit>max_profit: max_left = i max_right = j max_profit = profit return max_left, max_right, max_profit def find_max_crossing_subarray(array, low, mid, high): left_sum = -1500 sum_subarray = 0 max_left = 0 max_right = 0 for i in range(mid, low-1,-1): sum_subarray = sum_subarray + array[i] if sum_subarray > left_sum: left_sum = sum_subarray max_left = i right_sum = -1500 sum_subarray = 0 for i in range(mid+1, high+1): sum_subarray = sum_subarray + array[i] if sum_subarray > right_sum: right_sum = sum_subarray max_right = i return max_left, max_right, (left_sum + right_sum) def find_maximum_subarray(array, low, high): if low == high: return low, high, 0 else: mid = (low+high)//2 left_low, left_high, left_sum = find_maximum_subarray(array, low, mid) right_low, right_high, right_sum = find_maximum_subarray(array, mid+1, high) cross_low, cross_high, cross_sum = find_max_crossing_subarray(array, low, mid, high) if left_sum >= right_sum and left_sum >= cross_sum: return left_low, left_high, left_sum elif right_sum >= left_sum and right_sum >= cross_sum: return right_low, right_high, right_sum else: return cross_low, cross_high, cross_sum def display_plots( size, brute_time, recursive_time): incrementer = brute_time / size array_of_time_brute = [incrementer * x for x in range(size)] n = np.arange(0, size) plt.plot(n, array_of_time_brute,label='$O(n^2)$') incrementer = recursive_time / size array_of_time_recursive = [incrementer * x for x in range(size)] n = np.arange(0, size) plt.plot(n, array_of_time_recursive, label='$O(nlgn)$') temp = np.argwhere(np.diff(np.sign(np.array(array_of_time_brute) - np.array(array_of_time_recursive)))).flatten() print("the intercept is at times: ", temp, " seconds.") plt.xlabel('n') plt.ylabel('seconds') plt.title('Brute Force vs Recursive') plt.grid('on') plt.legend() plt.show() def main(): size_of_array = -1 #makes sure input is positive int while size_of_array < 1: size_of_array = int(input("Enter the size of the array to be filled: ")) if size_of_array < 1: print("please enter a positive number!") # display info to screen print("your number was: ", size_of_array) random_array_of_ints = np.random.randint(-999, 1001, size_of_array) copy_of_array = copy.deepcopy(random_array_of_ints) #print("Array: ", random_array_of_ints) # here we print sorted array #max subarray brute force start_brute = time.time() max_left, max_right, max_profit = brute_force_find_max(random_array_of_ints) end_brute = time.time() print("BRUTE FORCE: max left index: ", max_left, "max right index", max_right, "max profit value: ",max_profit) random_array_of_ints = copy_of_array #max subarray recursive start_recursive = time.time() max_left, max_right, max_profit = find_maximum_subarray(random_array_of_ints, 0, size_of_array-1) end_recursive = time.time() print("RECURSIVE: max left index: ", max_left, "max right index", max_right, "max profit value: ", max_profit) display_plots(size_of_array, (end_brute-start_brute), (end_recursive-start_recursive)) if __name__ == "__main__": main()

"""Utility functions for Dyson Python library.""" import base64 import hashlib import re import time from typing import Tuple from .const import DEVICE_TYPE_360_EYE from .exceptions import DysonFailedToParseWifiInfo # For some devices, the model in WiFi SSID is not the same as the model for MQTT. # The model on Dyson Cloud always matches the one used for MQTT. _DEVICE_TYPE_MAP = { "455A": "455", } def mqtt_time(): """Return current time string for mqtt messages.""" return time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()) def get_credential_from_wifi_password(wifi_password: str) -> str: """Calculate MQTT credential from WiFi password.""" hash_ = hashlib.sha512() hash_.update(wifi_password.encode("utf-8")) return base64.b64encode(hash_.digest()).decode("utf-8") def get_mqtt_info_from_wifi_info( wifi_ssid: str, wifi_password: str ) -> Tuple[str, str, str]: """Get MQTT information from WiFi information.""" result = re.match(r"^[0-9A-Z]{3}-[A-Z]{2}-[0-9A-Z]{8}$", wifi_ssid) if result is not None: serial = wifi_ssid device_type = DEVICE_TYPE_360_EYE else: result = re.match( r"^DYSON-([0-9A-Z]{3}-[A-Z]{2}-[0-9A-Z]{8})-([0-9]{3}[A-Z]?)$", wifi_ssid ) if result is not None: serial = result.group(1) device_type = result.group(2) device_type = _DEVICE_TYPE_MAP.get(device_type, device_type) else: raise DysonFailedToParseWifiInfo credential = get_credential_from_wifi_password(wifi_password) return serial, credential, device_type

from http_parser.parser import HttpParser import aiohttp class EmulatedClient(object): """ Class for emulating the client to the server. Notes: To accomplish a proper man-in-the-middle attack with TLS capability, the man-in-the-middle must be the one sending the original request to the server. With the emulated client we are changing the typical structure: client <-> server To one that looks like so: client <-> mitm (server) <-> mitm (emulated client) <-> server Where we then reply back to the client with the response the emulated client retrieved from the server on behalf of the client. """ def __init__(self, using_ssl): # Creates our HttpParser object. self.http_parser = HttpParser() # Sets flag to whether or not we are using SSL. self.using_ssl = using_ssl async def connect(self, data): # Parses the data coming in. self.http_parser.execute(data, len(data)) host = self.http_parser.get_wsgi_environ()["HTTP_HOST"] uri = self.http_parser.get_wsgi_environ()["RAW_URI"] # Sets the proper URL client is trying to reach. if self.using_ssl: url = f"https://{host}:{uri}" else: url = uri # Retrieves the destination server data. async with aiohttp.ClientSession() as session: async with session.get(url, ssl=False) as response: status = response.status reason = response.reason headers = response.headers response = await response.read() # Re-creates the servers response. resp = f"HTTP/1.1 {status} {reason}\r\n".encode("latin-1") for header in headers: resp += f"{header}: {headers[header]}\r\n".encode("latin-1") resp += b"\r\n" + response # Returns the data. return resp

#!/bin/python # -*- coding: utf-8 -*- # @brief PovRay Planetary Grid representation # @date 2016/11/28 # @author B.Seignovert (univ-reims@seignovert.fr) # @version 1.0 #---------------------------------------------------- import vapory as pov import numpy as np DIST_SUN = {'TITAN': 1.5e9 } # Distance to the Sun BODY_RADIUS = {'TITAN': 2575 } # Planetary body radius[km] INST_FOV = {'ISSNA': .352, 'ISSWA': 3.52 } # Instrument field of view [deg] class PLANET_GRID: def __init__(self,planet,inst,verbose=True): self.target = planet self.inst = inst self.scene = None self.verbose = verbose return def __repr__(self): return 'PovRay Planetary Grid representation of %s seen by %s.' % (self.target, self,inst) # Convert lon/lat in Cartesian coordinates def XYZ(self,lon,lat): return np.array([ np.cos(np.radians(-lon))*np.cos(np.radians(lat)),np.sin(np.radians(lat)),np.sin(np.radians(-lon))*np.cos(np.radians(lat)) ]) # Set the observation geometry (Planet + Instrument positions) def setGeo(self,SS,SC,dist,North): SS_xyz = self.XYZ( SS['lon'], SS['lat'] ) ; SC_xyz = self.XYZ( SC['lon'], SC['lat'] ) declares = [ 'SS_lon = %f; // Subsolar longitude [deg_W]' % SS['lon'], 'SS_lat = %f; // Subsolar latitude [deg_N]' % SS['lat'], 'SC_lon = %f; // Subspacecraft longitude [deg_W]' % SC['lon'], 'SC_lat = %f; // Subspacecraft latitude [deg_N]' % SC['lat'], 'R_Body = %f; // Planetary body radius [km]' % BODY_RADIUS[self.target] ] camera = pov.Camera('angle', INST_FOV[self.inst], 'location', SC_xyz * dist, 'look_at', [0,0,0],'Axis_Rotate_Trans(',SC_xyz,',',-North,')') light = pov.LightSource(SS_xyz * DIST_SUN[self.target], 'color','White') obj = pov.Object('Grid') self.scene = pov.Scene(declares=declares, camera=camera, objects=[light,obj], included=['colors.inc','transforms.inc','Planet_grid.inc']) return self # Render with PovRay script def render(self,filename=None,width=None,height=None): if filename is None: filename = '%s-%s.png' % (self.target, self.inst) if self.scene is None: raise ValueError('Planet geo is not set. Run self.setGeo(SS,SC,dist,North)') if self.verbose: print '>> Rendering PovRay Grid Globe...' self.scene.render(filename , width=width, height=height, antialiasing=0.01) return if __name__ == '__main__': # ISS image of Titan (N1827821295_1) width = 1024 height = 1024 inst = 'ISSNA' target = 'TITAN' SS = {'lat': 25.6, 'lon': 129.4} SC = {'lat': 0.4, 'lon': 277.0} dist = 1.4e6 North = -178.7 filename = None import sys if sys.argv[1] in ['-h', '--help', 'usage']: print 'USAGE: python grid.py filename SC_lat SC_lon SS_lat SS_lon dist north [NAC|WAC]' sys.exit() if len(sys.argv) > 1: filename = sys.argv[1] SC['lat'] = float(sys.argv[2]) SC['lon'] = float(sys.argv[3]) SS['lat'] = float(sys.argv[4]) SS['lon'] = float(sys.argv[5]) dist = float(sys.argv[6]) North = float(sys.argv[7]) if len(sys.argv) > 8: if 'NA' in sys.argv[8]: inst = 'ISSNA' elif 'WA' in sys.argv[8]: inst = 'ISSWA' else: raise ValueError('Instrument unknown') PLANET_GRID(target,inst).setGeo(SS,SC,dist,North).render(filename=filename,width=width,height=height)

from django.urls import path from . import views urlpatterns = [ path('home/',views.terminal_home, name='index'), path('latest/',views.terminal_news,name='terminal_news'), path('sign-in/',views.sign_in,name='sign-in') ]

# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Base value for integer blank. can be used as an unspecified blank DCGM_INT32_BLANK = 0x7ffffff0 DCGM_INT64_BLANK = 0x7ffffffffffffff0 # Base value for double blank. 2 ** 47. FP 64 has 52 bits of mantissa, #so 47 bits can still increment by 1 and represent each value from 0-15 DCGM_FP64_BLANK = 140737488355328.0 DCGM_STR_BLANK = "<<<NULL>>>" # Represents an error where data was not found DCGM_INT32_NOT_FOUND = (DCGM_INT32_BLANK+1) DCGM_INT64_NOT_FOUND = (DCGM_INT64_BLANK+1) DCGM_FP64_NOT_FOUND = (DCGM_FP64_BLANK+1.0) DCGM_STR_NOT_FOUND = "<<<NOT_FOUND>>>" # Represents an error where fetching the value is not supported DCGM_INT32_NOT_SUPPORTED = (DCGM_INT32_BLANK+2) DCGM_INT64_NOT_SUPPORTED = (DCGM_INT64_BLANK+2) DCGM_FP64_NOT_SUPPORTED = (DCGM_FP64_BLANK+2.0) DCGM_STR_NOT_SUPPORTED = "<<<NOT_SUPPORTED>>>" # Represents and error where fetching the value is not allowed with our current credentials DCGM_INT32_NOT_PERMISSIONED = (DCGM_INT32_BLANK+3) DCGM_INT64_NOT_PERMISSIONED = (DCGM_INT64_BLANK+3) DCGM_FP64_NOT_PERMISSIONED = (DCGM_FP64_BLANK+3.0) DCGM_STR_NOT_PERMISSIONED = "<<<NOT_PERM>>>" ############################################################################### # Functions to check if a value is blank or not def DCGM_INT32_IS_BLANK(val): if val >= DCGM_INT32_BLANK: return True else: return False def DCGM_INT64_IS_BLANK(val): if val >= DCGM_INT64_BLANK: return True else: return False def DCGM_FP64_IS_BLANK(val): if val >= DCGM_FP64_BLANK: return True else: return False #Looks for <<< at first position and >>> inside string def DCGM_STR_IS_BLANK(val): if 0 != val.find("<<<"): return False elif 0 > val.find(">>>"): return False return True ############################################################################### class DcgmValue: def __init__(self, value): self.value = value #Contains either an integer (int64), string, or double of the actual value ########################################################################### def SetFromInt32(self, i32Value): ''' Handle the special case where our source data was an int32 but is currently stored in a python int (int64), dealing with blanks ''' value = int(i32Value) if not DCGM_INT32_IS_BLANK(i32Value): self.value = value return if value == DCGM_INT32_NOT_FOUND: self.value = DCGM_INT64_NOT_FOUND elif value == DCGM_INT32_NOT_SUPPORTED: self.value = DCGM_INT64_NOT_SUPPORTED elif value == DCGM_INT32_NOT_PERMISSIONED: self.value = DCGM_INT64_NOT_PERMISSIONED else: self.value = DCGM_INT64_BLANK ########################################################################### def IsBlank(self): ''' Returns True if the currently-stored value is a blank value. False if not ''' if self.value is None: return True elif type(self.value) == int or type(self.value) == long: return DCGM_INT64_IS_BLANK(self.value) elif type(self.value) == float: return DCGM_FP64_IS_BLANK(self.value) elif type(self.value) == str: return DCGM_STR_IS_BLANK(self.value) else: raise Exception("Unknown type: %s") % str(type(self.value)) ########################################################################### def __str__(self): return str(self.value) ########################################################################### ############################################################################### def self_test(): v = DcgmValue(1.0) assert(not v.IsBlank()) assert(v.value == 1.0) v = DcgmValue(100) assert(not v.IsBlank()) assert(v.value == 100) v = DcgmValue(DCGM_INT64_NOT_FOUND) assert(v.IsBlank()) v = DcgmValue(DCGM_FP64_NOT_FOUND) assert(v.IsBlank()) v.SetFromInt32(DCGM_INT32_NOT_SUPPORTED) assert(v.IsBlank()) assert(v.value == DCGM_INT64_NOT_SUPPORTED) print "Tests passed" return ############################################################################### if __name__ == "__main__": self_test() ###############################################################################

# -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- import os from azure.identity import DefaultAzureCredential from azure.mgmt.resource import ApplicationClient, ResourceManagementClient def main(): SUBSCRIPTION_ID = os.environ.get("SUBSCRIPTION_ID", None) GROUP_NAME = "testgroupx" GROUP_NAME_2 = "testgroupx2" APP_DEF_NAME = "applicationdefinition" APPLICATION_NAME = "applicationtest" # Create client # For other authentication approaches, please see: https://pypi.org/project/azure-identity/ app_client = ApplicationClient( credential=DefaultAzureCredential(), subscription_id=SUBSCRIPTION_ID ) resource_client = ResourceManagementClient( credential=DefaultAzureCredential(), subscription_id=SUBSCRIPTION_ID ) # Create resource group resource_client.resource_groups.create_or_update( GROUP_NAME, {"location": "eastus"} ) resource_client.resource_groups.create_or_update( GROUP_NAME_2, {"location": "eastus"} ) # Create application definition app_definition = app_client.application_definitions.begin_create_or_update( GROUP_NAME, APP_DEF_NAME, { "lock_level": "None", "display_name": "myManagedApplicationDef", "description": "myManagedApplicationDef description", "authorizations": [], "package_file_uri": "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/101-managed-application/artifacts/ManagedAppZip/pkg.zip", "location": "East US" } ).result() print("Create application definition: {}".format(app_definition)) # Get application definition app_definition = app_client.application_definitions.get( GROUP_NAME, APP_DEF_NAME ) print("Get application definition: {}".format(app_definition)) # Create application app = app_client.applications.begin_create_or_update( GROUP_NAME, APPLICATION_NAME, { "application_definition_id": app_definition.id, "managed_resource_group_id": "/subscriptions/" + SUBSCRIPTION_ID + "/resourceGroups/myManagedRG" + GROUP_NAME_2, "location": "East US", "kind": "ServiceCatalog" } ) # ).result() print("Create application: {}".format(app)) # Get application app = app_client.applications.get( GROUP_NAME, APPLICATION_NAME ) print("Get application: {}".format(app)) # Update application app = app_client.applications.update( GROUP_NAME, APPLICATION_NAME, { "managed_resource_group_id": "/subscriptions/" + SUBSCRIPTION_ID + "/resourceGroups/myManagedRG" + GROUP_NAME_2, "kind": "ServiceCatalog" } ) print("Update application: {}".format(app)) # Delete application app_client.applications.begin_delete( GROUP_NAME, APPLICATION_NAME ).result() print("Delete application.") # Delete application definition app_client.application_definitions.begin_delete( GROUP_NAME, APP_DEF_NAME ).result() print("Delete appliation definition.") if __name__ == "__main__": main()

import numpy as np import platform import matplotlib as mpl if platform.system() == 'Darwin': # avoid bugs in some versions of matplotlib with macOS catalina mpl.use('Qt5Agg') import matplotlib.pyplot as plt import networkx as nx from typing import Any, Callable, List, Union from .agents import BaseAgent, SingleIntegratorAgent from .event_trigger import EventTrigger from .common import length, calculate_convex_optimal class MultiagentControl(): def __init__(self, num_agents: int, id: int = None, graph: nx.Graph = None, agents: List[BaseAgent] = None, agent_type: BaseAgent = SingleIntegratorAgent, state_dim: int = 1, init_state: List[List[float]] = None, step_size: float = 1.0): """Initialisation for the multi-agent system Args: num_agents (int): Number of agents in the network id (int, optional): Identifier of the multi-agent system. Defaults to None. graph (nx.Graph, optional): Graph representation of the communication network. Defaults to a random regular graph. agents (List[BaseAgent], optional): List of the agents. Defaults to None. agent_type (BaseAgent, optional): Type of the agents. Defaults to SingleIntegratorAgent. state_dim (int, optional): Dimension of the agents' internal state. Defaults to 1. init_state (List[List[float]], optional): Initial states for all agents. Defaults to None. step_size (float, optional): Step size for time discretisation. Defaults to 1.0. """ self.num_agents = num_agents self.state_dim = state_dim self.step_size = step_size self.id = id if graph is not None: self.graph = graph else: self.graph = nx.random_regular_graph(2, num_agents) self.laplacian = nx.laplacian_matrix(graph) if init_state is None: self.agents = agents if agents is not None else [agent_type(state_dim=state_dim, step_size=step_size) for _ in range(self.num_agents)] else: self.agents = agents if agents is not None else [agent_type(state_dim=state_dim, step_size=step_size, init_state=init_state[i]) for i in range(self.num_agents)] for i in range(self.num_agents): for j in range(self.num_agents): Lij = self.laplacian[i,j] if Lij < 0: self.agents[i].add_neighbours(self.agents[j], -Lij) def step(self): """Proceed one step for all agents """ for agent in self.agents: agent.step() def reset(self): """Reset the multi-agent system """ # TODO: implement the reset function pass def set_triggering_law(self, trigger: 'EventTrigger'): """Set the event-triggering law for all agents Args: trigger (EventTrigger): Event-triggering law to be set """ for agent in self.agents: agent.set_triggering_law(trigger) def set_objective_functions(self, objective_functions: List[Callable]): """Set the objective functions for each agent Args: objective_functions (List[Callable]): List of objective functions for each agent, according to the agent id """ self.global_obj = lambda x: np.sum([f(x) for f in objective_functions]) for i in range(self.num_agents): self.agents[i].set_objective_function(objective_functions[i]) def set_dynamics_functions(self, dynamics_functions: List[Callable]): """Set the dynamics functions for each agent Args: dynamics_functions (List[Callable]): [description] """ for i in range(self.num_agents): self.agents[i].set_dynamics_function(dynamics_functions[i]) def get_id(self) -> Union[int, None]: """Get the object identifier if it exists Returns: Union[int, None]: the object identifier """ return self.id def get_num_agents(self) -> int: """Get the number of agents in the multi-agent system Returns: int: number of agents in the system """ return self.num_agents def get_time(self) -> float: """Get the current time of the multi-agent system Returns: float: current time """ _t = np.array(self.agents[0].stat['t']) return _t def get_step_size(self) -> float: """Get the step size of the multi-agent system Returns: float: step size """ return self.step_size def get_states(self) -> List[np.array]: """Get the states of all agents Returns: List[np.array]: List of states of agents """ return [agent.stat['x'] for agent in self.agents] def get_mean_states(self) -> np.array: """Get the mean state of all agents Returns: np.array: mean state of all agents """ return np.mean([agent.get_state() for agent in self.agents], axis=0) def get_current_consensus_error(self) -> float: """Get the latest consensus error Returns: float: latest consensus error """ return self.get_consensus_error()[-1] def get_consensus_error(self) -> np.array: """Get the consensus error for all time instances Returns: np.array: consensus error """ _err = 0 _shape = np.transpose(self.agents[0].stat['x']).shape _e = np.zeros(_shape) try: _e = 0 for agent in self.agents: _e += np.transpose(agent.stat['x']) _e = _e / self.num_agents except AttributeError: _e = 0 for agent in self.agents: _e += np.transpose(agent.stat['x']) _e = _e / self.num_agents for agent in self.agents: _err += (np.transpose(agent.stat['x']) - _e) ** 2 _err = np.sum(_err, axis=0) return _err def get_communication_rate(self) -> float: """Get the average communication rate for all time instances Returns: float: average communication rate """ _Gamma = 0 _gammas = 0 _t = self.get_time() for agent in self.agents: _gammas = _gammas + np.array(agent.stat['gamma']) _gammas[0] = 0 _t[0] = 1e-5 _Gamma = np.cumsum(_gammas) / (self.num_agents * _t) _Gamma[0] = 0 return _Gamma def get_state_dim(self) -> int: """Get the dimension of agent states Returns: int: state dimension """ return self.state_dim def plot_states(self, index: int = 1, grid: bool = True, xlim: tuple = None, ylim: tuple = None, zoom: bool = True): """Plot the agent states Args: index (int, optional): figure index. Defaults to 1. grid (bool, optional): whether of not to display grid. Defaults to True. xlim (tuple, optional): display limit on x axis. Defaults to None. ylim (tuple, optional): display limit on y axis. Defaults to None. zoom (bool, optional): whether of not to create zoomed view. Defaults to True. """ for k in range(self.num_agents): agent = self.agents[k] _t = agent.stat['t'] _x = np.transpose(agent.stat['x']) for n in range(self.state_dim): fig = plt.figure(n+index) _xn = _x[n] plt.plot(_t, _xn, label='Agent ' + str(k+1)) plt.xlabel('$t$', fontsize=14) plt.ylabel('$x_i^' + str(n+1) + '(t)$', fontsize=14) try: _obj = self.global_obj _opt_sol = calculate_convex_optimal(_obj, self.state_dim) if self.state_dim == 1: _v = np.ones(length(_t)) * _opt_sol plt.plot(_t, _v, label='Optimal Value', linestyle='dashdot') else: for n in range(self.state_dim): plt.figure(n+index) _v = np.ones(length(_t)) * _opt_sol[n] plt.plot(_t, _v, label='Optimal Value', linestyle='dashdot') except AttributeError: pass for n in range(self.state_dim): plt.figure(n+index) if self.num_agents < 10: plt.legend() if grid: plt.grid(True) if xlim != None: plt.xlim(xlim) if ylim != None: plt.ylim(ylim) if zoom: for n in range(self.state_dim): fig = plt.figure(n+index) ax_new = fig.add_axes([0.2, 0.175, 0.35, 0.225]) for k in range(self.num_agents): agent = self.agents[k] _t = agent.stat['t'] _x = np.transpose(agent.stat['x']) _xn = _x[n] plt.plot(_t[0:160], _xn[0:160]) ax_new.set_xlim([0, 0.4]) # ax_new.set_ylim(ylim) def plot_consensus_error(self, index: int = None, loglog: bool = False, semilogy: bool = True, grid: bool = True, label: bool = '', color: str = None, xlim: tuple = None, ylim: tuple = None, zoom: bool = True, fig = None, ax1 = None, ax_new = None, zoom_xlim: tuple = None, zoom_ylim: tuple = None, zoom_pos: List[float] = [0.325, 0.65, 0.35, 0.225]): """Plot the consensus error Args: index (int, optional): figure index. Defaults to None. loglog (bool, optional): log-log scale. Defaults to False. semilogy (bool, optional): semilog-y scale. Defaults to True. grid (bool, optional): display grid. Defaults to True. label (bool, optional): figure label. Defaults to ''. color (str, optional): plot colour. Defaults to None. xlim (tuple, optional): display limit on x axis. Defaults to None. ylim (tuple, optional): display limit on y axis. Defaults to None. zoom (bool, optional): display zoomed view. Defaults to True. fig ([type], optional): figure to superpose on. Defaults to None. ax1 ([type], optional): axis to superpose on. Defaults to None. ax_new ([type], optional): new axis. Defaults to None. zoom_xlim (tuple, optional): range limit on x axis of the zoomed view. Defaults to None. zoom_ylim (tuple, optional): range limit on y axis of the zoomed view. Defaults to None. zoom_pos (List[float], optional): zoomed view position. Defaults to [0.325, 0.65, 0.35, 0.225]. Returns: Any: figure, ax1, ax_new """ if index is None: index = self.state_dim + 1 _t = self.get_time() _err = self.get_consensus_error() if fig is None and ax1 is None: fig = plt.figure(index) ax1 = plt.subplot(1,1,1, label='ce') if loglog: plot = ax1.loglog elif semilogy: plot = ax1.semilogy else: plot = ax1.plot if color != None: plot(_t, _err, label=label, color=color) else: plot(_t, _err, label=label) ax1.set_xlabel(r'$t$', fontsize=14) ax1.set_ylabel(r'$\varepsilon(t)$', fontsize=14) if grid: ax1.grid(True) if label != '' or label != None: ax1.legend() if xlim != None: ax1.set_xlim(xlim) if ylim != None: ax1.set_ylim(ylim) if zoom: if ax_new is None: ax_new = fig.add_axes(zoom_pos) if loglog: plot = ax_new.loglog elif semilogy: plot = ax_new.semilogy else: plot = ax_new.plot if color != None: plot(_t, _err, color=color) else: plot(_t, _err) if zoom_xlim != None: ax_new.set_xlim(zoom_xlim) else: ax_new.set_xlim([0, 2]) if zoom_ylim != None: ax_new.set_ylim(zoom_ylim) return fig, ax1, ax_new def plot_communication_rate(self, index: int = None, grid: bool = True, label: str = '', color: str = None, xlim: tuple = None, ylim: tuple = None, legend_loc: int = 1, zoom: bool = True, fig = None, ax1 = None, ax_new = None, zoom_xlim: tuple = None, zoom_ylim: tuple = None, zoom_pos: List[float] = [0.17, 0.65, 0.35, 0.225]): """Plot the average communication rate Args: index (int, optional): figure index. Defaults to None. grid (bool, optional): display grid. Defaults to True. label (str, optional): figure label. Defaults to ''. color (str, optional): plot colour. Defaults to None. xlim (tuple, optional): display limit on x axis. Defaults to None. ylim (tuple, optional): display limit on y axis. Defaults to None. legend_loc (int, optional): legend location. Defaults to 1. zoom (bool, optional): display zoomed view. Defaults to True. fig ([type], optional): figure to superpose on. Defaults to None. ax1 ([type], optional): axis to superpose on. Defaults to None. ax_new ([type], optional): new axis. Defaults to None. zoom_xlim (tuple, optional): range limit on x axis of the zoomed view. Defaults to None. zoom_ylim (tuple, optional): range limit on y axis of the zoomed view. Defaults to None. zoom_pos (List[float], optional): zoomed view position. Defaults to [0.17, 0.65, 0.35, 0.225]. Returns: Any: figure, ax1, ax_new """ if index is None: index = self.state_dim + 2 _t = self.get_time() _Gamma = self.get_communication_rate() if fig is None and ax1 is None: fig = plt.figure(index) ax1 = plt.subplot(1,1,1, label='ce') if color != None: ax1.plot(_t, _Gamma, label=label, color=color) else: ax1.plot(_t, _Gamma, label=label) ax1.set_xlabel(r'$t$', fontsize=14) ax1.set_ylabel(r'$\Gamma(t)$', fontsize=14) if grid: ax1.grid(True) if label != '' or label != None: ax1.legend(loc=legend_loc) if xlim != None: ax1.set_xlim(xlim) if ylim != None: ax1.set_ylim(ylim) if zoom: if ax_new is None: ax_new = fig.add_axes(zoom_pos) if color != None: plt.plot(_t, _Gamma, color=color) else: plt.plot(_t, _Gamma) if zoom_xlim != None: ax_new.set_xlim(zoom_xlim) else: ax_new.set_xlim([0, 2]) if zoom_ylim != None: ax_new.set_ylim(zoom_ylim) return fig, ax1, ax_new def plot_interevent_time(self, index = 100, grid = True, label = '', color = None, xlim = None, ylim = None, legend_loc = 1): # TODO: plot the interevent interval pass def draw_graph(self, index: int = None): """Display the underlying communication graph of the multi-agent system Args: index (int, optional): figure index. Defaults to 100. """ plt.figure(index) nx.draw(self.graph) def show_plots(self): """Alias function for plt.show() from matplotlib """ plt.show()

''' Unit tests for module utility_functions ''' import unittest from utility_functions import calculate_distance, delete_indexes from class_definitions import ThreeDimensionalPoint class TestDistance(unittest.TestCase): '''Test return value and test type error ''' # Check if calculation is done correctly def test_distance(self): ''' Check if calculation is done correctly ''' # Check to see if the distance is calculated correctly 1, 1, 1 to 1, 1, 2 should be 1 self.assertAlmostEqual(calculate_distance(ThreeDimensionalPoint(1, 1, 1), ThreeDimensionalPoint(1, 1, 2)), 1) # Check if the distance from a point to itself is 0 self.assertAlmostEqual(calculate_distance(ThreeDimensionalPoint(1, 2, 3), ThreeDimensionalPoint(1, 2, 3)), 0) # Check if the distance is calculated correctly(Should be: 6.928203230275509) self.assertAlmostEqual(calculate_distance(ThreeDimensionalPoint(-1, -2, -3), ThreeDimensionalPoint(-5, -6, -7)), 6.928203230275509) def test_inputs(self): ''' Check if type errors are raised correctly ''' # 1. Test response to wrong type # 1.1 arg1 of correct type, arg2 of wrong type self.assertRaises(TypeError, calculate_distance, ThreeDimensionalPoint(-5, -6, -7), 5) # 1.2 arg1 of wrong type, arg2 of correct type self.assertRaises(TypeError, calculate_distance, 5, ThreeDimensionalPoint(-5, -6, -7)) class TestDeleteIndexes(unittest.TestCase): ''' Test type errors and value errors ''' # Check to see if type errors and value errors are raised correctly def test_inputs(self): ''' Test for errors with wrong type and empty list ''' # 1. Test response to wrong type # 1.1 arg1 of correct type, arg2 of wrong type self.assertRaises(TypeError, delete_indexes, [1, 2, 3, 4, 5], 5) # 1.2 arg1 of wrong type, arg2 of correct type self.assertRaises(TypeError, delete_indexes, 5, [1, 2, 3, 4, 5]) # 2. Test response to empty list # 2.1 arg1 of correct type, arg2 empty list self.assertRaises(ValueError, delete_indexes, [0, 1, 2], []) # 2.2 arg1 empty list, arg2 of correct type self.assertRaises(ValueError, delete_indexes, [], [0, 1, 2]) # 3. Test if code is correctly working data = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] deletion = [0, 3, 6, 9] correct_result = [1, 2, 4, 5, 7, 8] self.assertEqual(delete_indexes(data, deletion), correct_result)

#!/opt/conda_envs/collection-2018-1.0/bin/python import sys import os fname1 = sys.argv[1] fname2 = sys.argv[2] pinAlignDir = os.environ['PINALIGNDIR'] baseDirectory = os.environ["PWD"] beamline = os.environ["BEAMLINE_ID"] runningDir = baseDirectory + "/pinAlign" os.chdir(runningDir) scriptName = os.path.join(pinAlignDir, f'pin_align_{beamline}.sh') comm_s = f'{scriptName} {fname1} {fname2}' lines = os.popen(comm_s).readlines() tilted = False ##### TODO add check for high values for outputline in lines: if (outputline.find("TILTED") != -1 or outputline.find('MISSING') != -1 or outputline.find('VIOLATION') != -1): print(outputline) tilted = True sys.exit() if (not tilted): for outputline in lines: try: if (outputline.find("OVERALL X,Y,Z OFFSETS TO CENTER") != -1): index_s = outputline.find("[") substring = outputline[index_s + 1:len(outputline) - 3] offsetTokens = substring.split(',') print(offsetTokens[0] + " " + offsetTokens[1] + " " + offsetTokens[2]) sys.exit() except Exception: print('Top-view error, pin could be out of view, manual centering required')

import unittest class UnionFind: def __init__( self ): self.numberOfDisjointSets = 0 self.elementToRepresentativeDict = dict() def add( self, element ): assert element not in self.elementToRepresentativeDict self.elementToRepresentativeDict[ element ] = element self.numberOfDisjointSets += 1 def merge( self, elementA, elementB ): assert elementA in self.elementToRepresentativeDict and elementB in self.elementToRepresentativeDict _representativeA = self.representative( elementA ) _representativeB = self.representative( elementB ) if _representativeA != _representativeB: self.elementToRepresentativeDict[ _representativeA ] = _representativeB self.numberOfDisjointSets -= 1 def representative( self, element ): assert element in self.elementToRepresentativeDict _representative = self.elementToRepresentativeDict[ element ] if _representative == element: return _representative _representative = self.elementToRepresentativeDict[ element ] = self.representative( _representative ) return _representative def getDisjointSets( self ): representativeToElementsDict = dict() for element in self.elementToRepresentativeDict.keys(): representative = self.representative( element ) if representative not in representativeToElementsDict: representativeToElementsDict[ representative ] = list() representativeToElementsDict[ representative ].append( element ) return list( representativeToElementsDict.values() ) class CallingCirclesComparator: @staticmethod def compare( testObject, circleList1, circleList2 ): circleSet1 = set() circleSet2 = set() for circleElementList in circleList1: circleSet1.add( '#'.join( sorted( circleElementList ) ) ) for circleElementList in circleList2: circleSet2.add( '#'.join( sorted( circleElementList ) ) ) testObject.assertEqual( circleSet1, circleSet2 ) class CallingCircles: def __init__( self, callLogList ): self.callLogDict = dict() for caller, callee in callLogList: for customer in (caller, callee): if customer not in self.callLogDict: self.callLogDict[ customer ] = list() self.callLogDict[ caller ].append( callee ) self.uf = UnionFind() for caller in self.callLogDict: self.uf.add( caller ) def circles( self ): for caller in self.callLogDict.keys(): self._search( caller, set(), set(), list() ) return self.uf.getDisjointSets() def _search( self, caller, visited, pathTaken, pathTakenStack ): if caller in visited: return if caller in pathTaken: index = -1 while pathTakenStack[ index ] != caller: self.uf.merge( caller, pathTakenStack[ index ] ) index = index - 1 return pathTaken.add( caller ) pathTakenStack.append( caller ) for callee in self.callLogDict[ caller ]: self._search( callee, visited, pathTaken, pathTakenStack ) pathTakenStack.pop() pathTaken.remove( caller ) visited.add( caller ) class CallingCirclesTest( unittest.TestCase ): def test_callingCircles( self ): for datafile in ('example', 'sample', 'callingcircles'): self._verify( datafile ) def _verify( self, datafile ): callingCirclesObjectList = list() testcaseCount = 0 with open( 'tests/{}.in'.format( datafile ) ) as inputFile: while True: m, n = map( int, inputFile.readline().strip().split() ) if m == 0 and n == 0: break testcaseCount += 1 print( 'datafile = {} testcase = {} CallLog Size = {}'.format( datafile, testcaseCount, n ) ) callLogList = list() for _ in range( n ): callLogList.append( tuple( inputFile.readline().strip().split() ) ) callingCirclesObjectList.append( CallingCircles( callLogList ) ) index = 0 currentCallingCircle = list() with open( 'tests/{}.ans'.format( datafile ) ) as solutionFile: for line in solutionFile.readlines(): line = line.strip() if 'Calling circles' in line: continue if len( line ) == 0: CallingCirclesComparator.compare( self, currentCallingCircle, callingCirclesObjectList[ index ].circles() ) index += 1 currentCallingCircle = list() else: currentCallingCircle.append( list( map( lambda name : name.strip(), line.split( ',' ) ) ) ) if len( currentCallingCircle ) > 0: CallingCirclesComparator.compare( self, currentCallingCircle, callingCirclesObjectList[ index ].circles() ) if __name__ == '__main__': unittest.main()

# -*- coding: utf-8 def create_auth_token(auth_token_store, user): return auth_token_store.create(user)

# -*- coding: utf-8 -*- """ Created on Sun Oct 28 09:51:36 2018 @author: user """ from ynltk import Langvowel, OmnibusStem txt = "Dit is een boek." l=Langvowel() s=OmnibusStem() print(l.langvowel(txt)) print(s.compStemmer("haus","huis"))

import re from ansible.plugins.action import ActionBase class ActionModule(ActionBase): prefix = 'rails' private_var_names = [ 'deploy_user', 'env', 'env_vars', 'gemset', 'group', 'root_dir', 'ruby', 'rvm', 'service', 'user', ] path_re = re.compile(r'^/[-_./a-z0-9]*$') common_name_re = re.compile(r'^[a-z_][a-z0-9_-]{0,30}(\$|[a-z0-9_-])?$') env_var_name_re = re.compile(r'^[a-zA-Z_][a-zA-Z0-9_]*$') ruby_version_re = re.compile(r'^ruby-[0-9]+\.[0-9]+\.[0-9]+$') domain_name_re = re.compile( r'^(?:[a-z0-9]' # First character of the domain r'(?:[a-z0-9-_]{0,61}[a-z0-9])?\.)' # Sub domain + hostname r'+[a-z0-9][a-z0-9-_]{0,61}' # First 61 characters of the gTLD r'[a-z0-9]$' # Last character of the gTLD ) def run(self, tmp=None, task_vars=None): if task_vars is None: task_vars = dict() result = super(ActionModule, self).run(tmp, task_vars) result['changed'] = False result['failed'] = False for var_name in self.private_var_names: full_var_name = '%s__%s' % (self.prefix, var_name) validator = getattr(self, 'validate_' + var_name) value = task_vars[full_var_name] msg_part = validator(value) if msg_part is not None: value = str(value) if len(value) <= 30: partial_value = value else: partial_value = '%s...' % value[0:30] full_msg = "Invalid var '%s' with value '%s': %s" % ( full_var_name, partial_value, msg_part, ) result['failed'] = True result['msg'] = full_msg return result return result def validate_deploy_user(self, value): if not isinstance(value, str): return 'is not str' if not self.common_name_re.fullmatch(value): return 'has invalid format' def validate_env(self, value): if not isinstance(value, str): return 'is not str' if value not in ['production', 'staging']: return 'is invalid' def validate_env_vars(self, obj): if not isinstance(obj, dict): return 'is not dict' if not all(isinstance(key, str) for key in obj.keys()): return 'key is not str' if not all(self.env_var_name_re.fullmatch(key) for key in obj.keys()): return 'key has invalid format' def validate_gemset(self, value): if not isinstance(value, str): return 'is not str' if not self.common_name_re.fullmatch(value): return 'has invalid format' def validate_group(self, value): if not isinstance(value, str): return 'is not str' if not self.common_name_re.fullmatch(value): return 'has invalid format' def validate_root_dir(self, value): if not isinstance(value, str): return 'is not str' if not self.path_re.fullmatch(value): return 'has invalid format' def validate_ruby(self, value): if not isinstance(value, str): return 'is not str' if not self.ruby_version_re.fullmatch(value): return 'has invalid format' def validate_rvm(self, value): if not isinstance(value, str): return 'is not str' if not self.path_re.fullmatch(value): return 'has invalid format' def validate_service(self, value): if not isinstance(value, str): return 'is not str' if not self.common_name_re.fullmatch(value): return 'has invalid format' def validate_user(self, value): if not isinstance(value, str): return 'is not str' if not self.common_name_re.fullmatch(value): return 'has invalid format'

#!/usr/bin/env python # -*- coding: utf-8 -*- from os import path import smtplib import quopri from jinja2 import Template from PyMassMailer.ConfigData import ConfigData from PyMassMailer.SenderMail import SenderMail from PyMassMailer.DataParser import DataParser from PyMassMailer.TemplateEngine import TemplateEngine if __name__ == "__main__": conf = ConfigData() data_parser = DataParser(conf.get_section('data')) address = data_parser.getData() engine = TemplateEngine(Template) sender = SenderMail(conf, smtplib, engine) view = open( path.normpath('templates/test.html'), 'r', encoding='UTF-8' ).read() # print(view) sender.set_address(address).send_all( view, {}, 'test' )

from newton.trade.tools import last_price from newton.rules.exit.base import Exit class BuyLowerExit(Exit): def __init__(self, exit_price, name=None): super().__init__(name=name) self.exit_price = exit_price def can_exit(self, trade): return self.exit_price > last_price(trade.currency_pair)

# ImageNet-CoG Benchmark # Copyright 2021-present NAVER Corp. # 3-Clause BSD License import logging from typing import List import numpy as np import torch as th logger = logging.getLogger() class FeatureSet(): """ Store (image feature, label) pairs. """ def __init__(self, x, y, name): assert x.shape[0] == y.shape[0] self.name = name self.x = x self.y = y def print_info(self): logger.info("FeatureSet:{} | x:{}, y:{} | x.norm:{:.3f} +- {:.3f}, x.non_zero:{:.3f} | unique(y):{}".format( self.name, list(self.x.shape), list(self.y.shape), self.x.norm(dim=1, p=2).mean(), self.x.norm(dim=1, p=2).std(), (self.x != 0).float().sum(dim=1).mean(), th.unique(self.y).shape[0] )) def to_gpu(self): """ Move the tensors into GPU. """ self.x = self.x.to("cuda") self.y = self.y.to("cuda") def move_data_to_cuda(data_sets: List[FeatureSet]): """ Moves the data to GPU if we have enough GPU memory. """ mem_1gb = 1024 * 1024 * 1024 mem_required = sum([np.prod(set.x.shape) for set in data_sets]) * 4 + 2 * mem_1gb # a float is 4 bytes mem_available = th.cuda.get_device_properties(0).total_memory mem_available -= th.cuda.memory_cached(0) + th.cuda.memory_allocated(0) def in_gb(x): return x / mem_1gb logger.info("{:.1f}GB GPU memory available, {:.1f}GB required.".format(in_gb(mem_available), in_gb(mem_required))) if mem_available > mem_required: logger.info("Moving all the data to GPU.") for set in data_sets: set.to_gpu() else: logger.info("Not enough space in GPU. Data will stay in CPU memory.") def load_feature_set(path, name="", normalize=False): """ Loads features from the file (path). The file is expected to be saved by torch.save and contain torch.tensors named X and Y. normalize: whether to apply l2 normalization or not. """ # load features pkl = th.load(path, "cpu") X = pkl["X"] Y = pkl["Y"] name = pkl.get("name", name) assert X.shape[0] == Y.shape[0] logger.info(f"Features of {name} are loaded.") if normalize: logger.info("Applying l2-normalization to the features.") X = normalize_features(X) fset = FeatureSet(X, Y, name) return fset def normalize_features(X): """ L2-Normalizes the features. """ if isinstance(X, np.ndarray): norm = np.linalg.norm(X, axis=1) X = X / (norm + 1e-5)[:, np.newaxis] elif isinstance(X, th.Tensor): X = th.nn.functional.normalize(X, p=2, dim=1) else: raise NotImplementedError("Unknown type:{}".format(type(X))) return X def split_trainset(trainset, p_val=0.2): """ Randomly split the trainin set into train and val. Args: p_val: percentage of the validation set. """ train_inds = [] val_inds = [] for cix in th.unique(trainset.y): # samples belonging to this class cix inds = th.where(trainset.y == cix)[0] # random ordering of these samples order = th.randperm(inds.shape[0]) inds = inds[order] # number of validation samples n_val = int(inds.shape[0] * p_val) # split the indices into train and val train_inds.append(inds[:-n_val]) val_inds.append(inds[-n_val:]) train_inds = th.cat(train_inds, dim=0) val_inds = th.cat(val_inds, dim=0) assert len(trainset.y) == len(train_inds) + len(val_inds), \ "While splitting the training set into (train, val), some samples are ignored." assert len(np.intersect1d(train_inds.numpy(), val_inds.numpy())) == 0, \ "Training and validation sets overlap!" x_train = trainset.x[train_inds] y_train = trainset.y[train_inds] x_val = trainset.x[val_inds] y_val = trainset.y[val_inds] return ( FeatureSet(x_train, y_train, "train"), FeatureSet(x_val, y_val, "val"), ) def make_fewshot_dataset(feature_set, n_shot): """ Randomly select n_shot sample per class from the feature set. """ assert n_shot > 0, f"n_shot ({n_shot}) must be > 0" x = [] y = [] for cix in th.unique(feature_set.y): # samples whose label is cix inds = th.where(feature_set.y == cix)[0] # random order of samples inds = inds[th.randperm(inds.shape[0])] # split the validation set x.append(feature_set.x[inds[:n_shot]]) y.append(feature_set.y[inds[:n_shot]]) x = th.cat(x, dim=0) y = th.cat(y, dim=0) assert len(x) == len(y), f"Interesting, the length of x ({x.shape}) and y ({y.shape}) do not match." assert len(x) == n_shot * len(th.unique(feature_set.y)), "It seems that we didn't sample the same number of samples per class." return FeatureSet(x, y, feature_set.name + "_{}-shot".format(n_shot))

# 1530. Number of Good Leaf Nodes Pairs # User Accepted:2427 # User Tried:3383 # Total Accepted:2509 # Total Submissions:6456 # Difficulty:Medium # Given the root of a binary tree and an integer distance. # A pair of two different leaf nodes of a binary tree is said to be good # if the length of the shortest path between them is less than or equal to distance. # Return the number of good leaf node pairs in the tree. # Example 1: # Input: root = [1,2,3,null,4], distance = 3 # Output: 1 # Explanation: The leaf nodes of the tree are 3 and 4 # and the length of the shortest path between them is 3. This is the only good pair. # Example 2: # Input: root = [1,2,3,4,5,6,7], distance = 3 # Output: 2 # Explanation: The good pairs are [4,5] and [6,7] with shortest path = 2. # The pair [4,6] is not good because the length of ther shortest path between them is 4. # Example 3: # Input: root = [7,1,4,6,null,5,3,null,null,null,null,null,2], distance = 3 # Output: 1 # Explanation: The only good pair is [2,5]. # Example 4: # Input: root = [100], distance = 1 # Output: 0 # Example 5: # Input: root = [1,1,1], distance = 2 # Output: 1 # Constraints: # The number of nodes in the tree is in the range [1, 2^10]. # Each node's value is between [1, 100]. # 1 <= distance <= 10 # Definition for a binary tree node. # class TreeNode(object): # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right class Solution(object): def countPairs(self, root, distance): """ :type root: TreeNode :type distance: int :rtype: int """ pass

from json import loads from os.path import splitext import boto3 from botocore.exceptions import ClientError import pandas as pd import pickle from smart_open import open as s_open from vespid import setup_logger logger = setup_logger(__name__) def yield_object_keys(bucket, prefix, limit=float('inf'), skip_until_suffix=None): """yield object keys matching s3://bucket/prefix up to limit, skipping until suffix given""" logger.debug(f"yielding {limit} object keys from {bucket} / {prefix}") s3_client = boto3.client('s3') paginator = s3_client.get_paginator('list_objects_v2') pages = paginator.paginate(Bucket=bucket, Prefix=prefix) count = 0 skipping = False if skip_until_suffix: skipping = True for page in pages: for obj in page['Contents']: if count >= limit: return logger.debug(f"{count} key found: {obj}") if skip_until_suffix: key = obj['Key'] basename = splitext(key)[0] if basename.endswith(skip_until_suffix): skipping = False logger.debug(f"stop skipping {obj} vs {skip_until_suffix}") else: logger.debug(f"keep skipping! {obj} vs {skip_until_suffix}") if skipping: logger.debug(f"{count} key skipped: {obj}") continue logger.debug(f"{count} yielding: {obj}") yield obj['Key'] count += 1 def yield_json_from_s3_obj(key, s3_bucket, encoding='utf-8', limit=float('inf')): """yield lines of loaded JSON from s3://bucket/key up to limit, assuming open access to the S3 bucket""" logger.info(f"yielding {limit} json rows from {s3_bucket} / {key} with encoding {encoding}") with s_open(f"s3://{s3_bucket}/{key}", encoding=encoding) as thing: count = 0 for line in thing: if count >= limit: break line = line.strip() if not line: continue json_paper = loads(line) logger.debug(f"{count} json found: {json_paper}") yield json_paper count += 1 def get_s3_file(bucket, key, resource=None): ''' Pulls the contents of a given object in S3 into memory. Parameters ---------- bucket : str Name of the S3 bucket containing the object key : str Object prefix + name. E.g. if the bucket is called "vespid", and the file of interest is s3://vespid/data/a.json, the key would be "data/a.json" resource : boto3.resource object, optional Result of calling `boto3.resource('s3')`, by default None Returns ------- bytestring The file contents ''' if resource is None: s3 = boto3.resource('s3') else: s3 = resource return s3.Bucket(bucket).Object(key).get()['Body'].read() def count_s3_objects(bucket, prefix): ''' Given a bucket name and file prefix to match, counts how many qualifying objects there are. Parameters ---------- bucket : str Name of S3 bucket to inspect prefix : str Prefix of matching objects (e.g. 'data/processed/') Returns ------- int The number of matching objects found ''' s3 = boto3.resource('s3') bucket = s3.Bucket(bucket) num_s3_objects = sum( 1 for _ in bucket.objects.filter( Prefix=prefix ) ) return num_s3_objects def upload_file(file_name, bucket, object_prefix=None): """Upload a file to an S3 bucket :param file_name: File to upload :param bucket: Bucket to upload to :param object_prefix: prefix to add to ``file_name``, e.g. '<data/external/>filename' :return: True if file was uploaded, else False """ # If S3 object_name was not specified, use file_name if object_prefix is None: object_name = file_name else: object_name = object_prefix + file_name # Upload the file s3_client = boto3.client('s3') try: response = s3_client.upload_file(file_name, bucket, object_name) except ClientError as e: logger.error(e) return False return True def upload_object( object, path, access_key_path=None, bucket='vespid', session=None, auto_pickle=False ): """ Upload an arbitrary object to an S3 bucket, such as a pickled DataFrame. Note that, if you send an object as a bytestring (e.g. via pickle.dumps()), you will want to read the resulting file when you need it via with open('path/to/file.pkl', 'rb') as f: obj = pickle.load(f) or pickle.loads('path/to/file.pkl') Parameters ---------- object: object to upload, usually in a StringIO or ByteStringIO format path: str. URI to use for object when in the bucket (e.g. <bucket>/<path>). access_key_path: str. Indicates filepath to AWS access credentials CSV. If None, will assume it's operating in a pre-approved security environment (e.g. an AWS instance with proper role permissions) bucket: str. Target S3 bucket. session: boto3.Session object. If None, will attempt to upload via boto3.resource auto_pickle: bool. If True, and `object` is determined to not already be a bytestring, will pickle `object` before sending to S3 via `pickle.dumps(object)' Returns ------- Nothing. """ if path[-1] == '/': raise ValueError("object name should not end with '/'. " "Please ensure a valid object name has been provided.") if access_key_path is not None: aws_access_key, secret_access_key = pd.read_csv(access_key_path).loc[0] else: aws_access_key, secret_access_key = None, None # Upload the file if session is None: s3_resource = boto3.resource( 's3', aws_access_key_id=aws_access_key, aws_secret_access_key=secret_access_key ) else: s3_resource = session.resource('s3') # Detect if object is not already in proper format, transform accordingly if not isinstance(object, bytes) and auto_pickle: logger.debug(f"Detected that object is of type {type(object)}; " "pickling it and sending to S3 as a byte string...") to_upload = pickle.dumps(object) else: to_upload = object try: s3_resource.Object(bucket, path).put(Body=to_upload) except Exception as e: raise e def test_s3_access(bucket): ''' Tests S3 ingress and egress. Useful for code run in different environments (e.g. AWS Batch) to run this before doing any heavy lifting to make sure access credentialing, etc. is good to go. Parameters ---------- bucket : str Name of S3 bucket to test ''' # Test uploading test_object = pd.DataFrame({'a': [1,2,3], 'b': [4,5,6]}) logger.debug("Testing upload of a pickled DataFrame to S3...") upload_object( test_object, 'upload_test.pkl', auto_pickle=True, bucket=bucket ) # Testing downloading assert get_s3_file(bucket, 'upload_test.pkl') is not None, \ "S3 file download failed" logger.info("S3 upload test successful!")

# -*- encoding: utf-8 -*- from __future__ import absolute_import, division, print_function, unicode_literals from .model_base import ModelBase from h2o.utils.shared_utils import can_use_pandas class H2OAnomalyDetectionModel(ModelBase): def varsplits(self, use_pandas=False): """ Retrieve per-variable split information for a given Isolation Forest model. Output will include: - count - The number of times a variable was used to make a split. - aggregated_split_ratios - The split ratio is defined as "abs(#left_observations - #right_observations) / #before_split". Even splits (#left_observations approx the same as #right_observations) contribute less to the total aggregated split ratio value for the given feature; highly imbalanced splits (eg. #left_observations >> #right_observations) contribute more. - aggregated_split_depths - The sum of all depths of a variable used to make a split. (If a variable is used on level N of a tree, then it contributes with N to the total aggregate.) :param use_pandas: If True, then the variable splits will be returned as a Pandas data frame. :returns: A list or Pandas DataFrame. """ model = self._model_json["output"] if "variable_splits" in list(model.keys()) and model["variable_splits"]: vals = model["variable_splits"].cell_values header = model["variable_splits"].col_header if use_pandas and can_use_pandas(): import pandas return pandas.DataFrame(vals, columns=header) else: return vals else: print("Warning: This model doesn't provide variable split information")

# -*- coding: utf-8 -*- from __future__ import absolute_import, unicode_literals import pytest import dawg class TestPrediction(object): DATA = ['ЁЖИК', 'ЁЖИКЕ', 'ЁЖ', 'ДЕРЕВНЯ', 'ДЕРЁВНЯ', 'ЕМ', 'ОЗЕРА', 'ОЗЁРА', 'ОЗЕРО'] LENGTH_DATA = list(zip(DATA, ((len(w),) for w in DATA))) REPLACES = dawg.DAWG.compile_replaces({'Е': 'Ё'}) SUITE = [ ('УЖ', []), ('ЕМ', ['ЕМ']), ('ЁМ', []), ('ЁЖ', ['ЁЖ']), ('ЕЖ', ['ЁЖ']), ('ЁЖИК', ['ЁЖИК']), ('ЕЖИКЕ', ['ЁЖИКЕ']), ('ДЕРЕВНЯ', ['ДЕРЕВНЯ', 'ДЕРЁВНЯ']), ('ДЕРЁВНЯ', ['ДЕРЁВНЯ']), ('ОЗЕРА', ['ОЗЕРА', 'ОЗЁРА']), ('ОЗЕРО', ['ОЗЕРО']), ] SUITE_ITEMS = [ ( it[0], # key [ (w, [(len(w),)]) # item, value pair for w in it[1] ] ) for it in SUITE ] SUITE_VALUES = [ ( it[0], # key [[(len(w),)] for w in it[1]] ) for it in SUITE ] @pytest.mark.parametrize(("word", "prediction"), SUITE) def test_dawg_prediction(self, word, prediction): d = dawg.DAWG(self.DATA) assert d.similar_keys(word, self.REPLACES) == prediction @pytest.mark.parametrize(("word", "prediction"), SUITE) def test_record_dawg_prediction(self, word, prediction): d = dawg.RecordDAWG(str("=H"), self.LENGTH_DATA) assert d.similar_keys(word, self.REPLACES) == prediction @pytest.mark.parametrize(("word", "prediction"), SUITE_ITEMS) def test_record_dawg_items(self, word, prediction): d = dawg.RecordDAWG(str("=H"), self.LENGTH_DATA) assert d.similar_items(word, self.REPLACES) == prediction @pytest.mark.parametrize(("word", "prediction"), SUITE_VALUES) def test_record_dawg_items_values(self, word, prediction): d = dawg.RecordDAWG(str("=H"), self.LENGTH_DATA) assert d.similar_item_values(word, self.REPLACES) == prediction

#!/usr/bin/env python # -*- coding: utf-8 -*- __author__ = 'chengzhi' from tqsdk import TqApi # 创建API实例. api = TqApi() # 获得上期所 cu2001 的行情引用，当行情有变化时 quote 中的字段会对应更新 quote = api.get_quote("SHFE.cu2001") # 输出 cu2001 的最新行情时间和最新价 print(quote.datetime, quote.last_price) # 关闭api,释放资源 api.close()

""" Command line actions to manage workenv """ import os import subprocess from pathlib import Path from . import bash from .config import Command, Project from .constants import COMMAND_NAME from .io import echo, error registry = {} def action(fn): def wrap(config, actions, args): return fn(config, actions, args) registry[fn.__name__] = fn return wrap @action def install(config, actions, args): """ Install workenv into your bashrc """ command_name = COMMAND_NAME if len(args) == 1: command_name = args[0] elif len(args) > 1: error("Usage: workenv --install [<as>]") return bash.install(command_name) echo(f"Installed as {command_name}, open a new shell to use") @action def edit(config, actions, args): """ Open the yaml source in the shell editor """ if len(args) > 0: error("Usage: workenv --edit") editor = os.environ.get("EDITOR") or "vim" subprocess.call([editor, config.file]) @action def add(config, actions, args): """ Register a new project or command using the current path """ cwd = Path.cwd() if len(args) == 0: error("Must specify a project name to add it") return project_name, command_name = (args + [None])[0:2] # Get or create project if not command_name and project_name in config.projects: error(f"Project {project_name} already exists") return if project_name not in config.projects: config.projects[project_name] = Project( config=config, name=project_name, path=cwd, source=[], env=[], run=[], parent=None, ) project = config.projects[project_name] if not command_name: config.save() echo(f"Added project {project_name}") return if command_name in project.commands: error(f"Command {command_name} already exists in project {project_name}") return project.commands[command_name] = Command( name=command_name, path=cwd, source=[], env=[], run=[], parent=project, ) config.save() echo(f"Added command {command_name} to project {project_name}")

from oscar.apps.customer import config class CustomerConfig(config.CustomerConfig): name = 'oscar_apps.customer'

# -*- coding: utf-8 -*- # Generated by Django 1.11.4 on 2018-11-02 03:21 from __future__ import unicode_literals from tqdm import tqdm from django.db import migrations from django.db.models import F def extract_external_id_from_url(apps, schema_editor): AttachmentFile = apps.get_model('data', 'AttachmentFile') non_documentcloud_files = AttachmentFile.objects.exclude(source_type='DOCUMENTCLOUD') for file in tqdm(non_documentcloud_files, desc='Get external_id from original_url '): url = file.original_url file.external_id = url[url.rindex('/') + 1:] if '/' in url else url file.save() def use_url_for_external_id(apps, schema_editor): AttachmentFile = apps.get_model('data', 'AttachmentFile') AttachmentFile.objects.exclude(source_type='DOCUMENTCLOUD').update(external_id=F('original_url')) class Migration(migrations.Migration): dependencies = [ ('data', '0093_attachment_request_add_airtable_record_id'), ] operations = [ migrations.RunPython( extract_external_id_from_url, reverse_code=use_url_for_external_id, elidable=True), ]

from owlready2 import * import csv import sys import os def aro_query(start_id=sys.argv[1], depth=sys.argv[2]): # Load the ontology os.chdir('..') aro_path = os.path.abspath(os.curdir) onto = get_ontology(aro_path + '\\aro.owl').load() namespace = onto.get_namespace("http://purl.obolibrary.org/obo/") #onto.search(label = 'microbial susceptibility test') # Grab the relevant subclasses, starting from start_id and progressing down through the hierarchy <depth> # of times # If the depth is 1, only the subclasses of the initial element are pulled. subclass_list = [start_id] done = [] for d in range(0,int(depth)): for sc in range(len(subclass_list)): if subclass_list[sc] not in done: checking = subclass_list[sc] # Pull the subclasses and add them to the list curr_query_string = 'list(namespace.%s.subclasses())' % (checking) subclass_list.extend(eval(curr_query_string)) # Format the ARO IDs: remove '.obo' prefix, convert to string subclass_list = [str(aro).split('.')[1] if 'obo.' in str(aro) else aro for aro in subclass_list] # Prevent the current ARO element from having its subclasses pulled again by marking it as done done.append(checking) # Extract the parent term of "child" term in the subclass list, and extract the labels for each term in the subclass list hierarchy_dict = dict.fromkeys(subclass_list) label_list = [] for term in hierarchy_dict: # Extract the labels query_label_string = 'namespace.%s.label' % (term) label_list.append(eval(query_label_string)[0]) # Search for terms that are subclasses ("children") of the current <term> (the "parent") search_string = 'onto.search(is_a = namespace.%s)' % (term) children = eval(search_string) children = [str(aro).split('.')[1] for aro in children] # Map the current parent to any of its children that are part of the hierarchy dictionary for c in range(len(children)): child = children[c] # Since the onto.search method includes the search term or parent in the returned results, skip the parent (otherwise the parent of this term will be recorded as itself). # Also, skip any children that are not present in the hierarchy dictionary. if child != term and child in subclass_list: hierarchy_dict[child] = term parent_terms = list(hierarchy_dict.values()) # Store labels in a separate list #label_list = [] #for i in range(len(subclass_list)): #query_label_string = 'namespace.%s.label' % (subclass_list[i]) #label_list.append(eval(query_label_string)[0]) # Combine the lists in preparation for writing to a csv rows = zip(subclass_list, label_list, parent_terms) # Write to csv file = open('aro-query.csv', 'w', newline='') with file: writer = csv.writer(file) writer.writerow(['ARO_id', 'label', 'parent_ARO_id']) for row in rows: writer.writerow(row) # Allow function to be called from the command line if __name__ == '__main__': aro_query(sys.argv[1], sys.argv[2])

""" Tests for bitarray Author: Ilan Schnell """ import os import sys import unittest import tempfile import shutil from random import randint is_py3k = bool(sys.version_info[0] == 3) if is_py3k: from io import StringIO else: from cStringIO import StringIO if __name__ == '__main__': from __init__ import bitarray, bits2bytes repr_type = "<class '__init__.bitarray'>" else: from bitarray import bitarray, bits2bytes repr_type = "<class 'bitarray.bitarray'>" tests = [] if sys.version_info[:2] < (2, 6): def next(x): return x.next() def to_bytes(s): if is_py3k: return bytes(s.encode('latin1')) elif sys.version_info[:2] >= (2, 6): return bytes(s) else: return s class Util(object): def randombitarrays(self): for n in list(range(25)) + [randint(1000, 2000)]: yield bitarray([randint(0, 1) for d in range(n)], endian='big' if randint(0, 1) else 'little') def randomlists(self): for n in list(range(25)) + [randint(1000, 2000)]: yield [bool(randint(0, 1)) for d in range(n)] def rndsliceidx(self, length): return randint(-2*length, 2*length-1) if randint(0, 1) == 1 else None def slicelen(self, r, length): return getIndicesEx(r, length)[-1] def check_obj(self, a): self.assertEqual(repr(type(a)), repr_type) unused = 8 * a.buffer_info()[1] - len(a) self.assert_(0 <= unused < 8) self.assertEqual(unused, a.buffer_info()[3]) def assertEQUAL(self, a, b): self.assertEqual(a, b) self.assertEqual(a.endian(), b.endian()) self.check_obj(a) self.check_obj(b) def getIndicesEx(r, length): if not isinstance(r, slice): raise TypeError("slice object expected") start = r.start stop = r.stop step = r.step if r.step is None: step = 1 else: if step == 0: raise ValueError("slice step cannot be zero") defstart = length-1 if step < 0 else 0 defstop = -1 if step < 0 else length if r.start is None: start = defstart else: if start < 0: start += length if start < 0: start = -1 if step < 0 else 0 if start >= length: start = length-1 if step < 0 else length if r.stop is None: stop = defstop else: if stop < 0: stop += length if stop < 0: stop = -1 if stop > length: stop = length if (step < 0 and stop >= length) or (step > 0 and start >= stop): slicelength = 0 elif step < 0: slicelength = (stop-start+1) / step + 1 else: slicelength = (stop-start-1) / step + 1 if slicelength < 0: slicelength = 0 return start, stop, step, slicelength # --------------------------------------------------------------------------- class TestsModuleFunctions(unittest.TestCase, Util): def test_bits2bytes(self): for arg in ['foo', [], None, {}]: self.assertRaises(TypeError, bits2bytes, arg) self.assertRaises(TypeError, bits2bytes) self.assertRaises(TypeError, bits2bytes, 1, 2) self.assertRaises(ValueError, bits2bytes, -1) self.assertRaises(ValueError, bits2bytes, -924) for n in range(1000): self.assertEqual(bits2bytes(n), 0 if n==0 else ((n - 1) // 8 + 1)); for n, m in [(0, 0), (1, 1), (2, 1), (7, 1), (8, 1), (9, 2), (10, 2), (15, 2), (16, 2), (64, 8), (65, 9), (0, 0), (1, 1), (65, 9), (2**29, 2**26), (2**31, 2**28), (2**32, 2**29), (2**34, 2**31), (2**34+793, 2**31+100), (2**35-8, 2**32-1), (2**62, 2**59), (2**63-8, 2**60-1)]: self.assertEqual(bits2bytes(n), m) tests.append(TestsModuleFunctions) # --------------------------------------------------------------------------- class CreateObjectTests(unittest.TestCase, Util): def test_noInitializer(self): a = bitarray() self.assertEqual(len(a), 0) self.assertEqual(a.tolist(), []) self.check_obj(a) def test_endian(self): a = bitarray(endian='little') a.fromstring('A') self.assertEqual(a.endian(), 'little') self.check_obj(a) b = bitarray(endian='big') b.fromstring('A') self.assertEqual(b.endian(), 'big') self.check_obj(b) self.assertEqual(a.tostring(), b.tostring()) a = bitarray(endian='little') a.fromstring(' ') self.assertEqual(a.endian(), 'little') self.check_obj(a) b = bitarray(endian='big') b.fromstring(' ') self.assertEqual(b.endian(), 'big') self.check_obj(b) self.assertEqual(a.tostring(), b.tostring()) self.assertRaises(TypeError, bitarray.__new__, bitarray, endian=0) self.assertRaises(ValueError, bitarray.__new__, bitarray, endian='') def test_integers(self): for n in range(50): a = bitarray(n) self.assertEqual(len(a), n) self.check_obj(a) a = bitarray(int(n)) self.assertEqual(len(a), n) self.check_obj(a) self.assertRaises(ValueError, bitarray.__new__, bitarray, -1) self.assertRaises(ValueError, bitarray.__new__, bitarray, -924) def test_list(self): lst = ['foo', None, [1], {}] a = bitarray(lst) self.assertEqual(a.tolist(), [True, False, True, False]) self.check_obj(a) for n in range(50): lst = [bool(randint(0, 1)) for d in range(n)] a = bitarray(lst) self.assertEqual(a.tolist(), lst) self.check_obj(a) def test_tuple(self): tup = ('', True, [], {1:2}) a = bitarray(tup) self.assertEqual(a.tolist(), [False, True, False, True]) self.check_obj(a) for n in range(50): lst = [bool(randint(0, 1)) for d in range(n)] a = bitarray(tuple(lst)) self.assertEqual(a.tolist(), lst) self.check_obj(a) def test_iter(self): for n in range(50): lst = [bool(randint(0, 1)) for d in range(n)] a = bitarray(iter(lst)) self.assertEqual(a.tolist(), lst) self.check_obj(a) def test_iter2(self): for lst in self.randomlists(): def foo(): for x in lst: yield x a = bitarray(foo()) self.assertEqual(a, bitarray(lst)) self.check_obj(a) def test_01(self): a = bitarray('0010111') self.assertEqual(a.tolist(), [0, 0, 1, 0, 1, 1, 1]) self.check_obj(a) for n in range(50): lst = [bool(randint(0, 1)) for d in range(n)] s = ''.join('1' if x else '0' for x in lst) a = bitarray(s) self.assertEqual(a.tolist(), lst) self.check_obj(a) self.assertRaises(ValueError, bitarray.__new__, bitarray, '01012100') def test_bitarray(self): for n in range(50): a = bitarray(n) b = bitarray(a) self.assert_(a is not b) self.assertEQUAL(a, b) for end in ('little', 'big'): a = bitarray(endian=end) c = bitarray(a) self.assertEqual(c.endian(), end) c = bitarray(a, endian='little') self.assertEqual(c.endian(), 'little') c = bitarray(a, endian='big') self.assertEqual(c.endian(), 'big') def test_None(self): self.assertEQUAL(bitarray(), bitarray(0)) self.assertEQUAL(bitarray(), bitarray(None)) def test_WrongArgs(self): self.assertRaises(TypeError, bitarray.__new__, bitarray, 'A', 42, 69) self.assertRaises(TypeError, bitarray.__new__, bitarray, Ellipsis) self.assertRaises(TypeError, bitarray.__new__, bitarray, slice(0)) self.assertRaises(TypeError, bitarray.__new__, bitarray, 2.345) self.assertRaises(TypeError, bitarray.__new__, bitarray, 4+3j) self.assertRaises(TypeError, bitarray.__new__, bitarray, '', 0, 42) self.assertRaises(ValueError, bitarray.__new__, bitarray, 0, 'foo') tests.append(CreateObjectTests) # --------------------------------------------------------------------------- class MetaDataTests(unittest.TestCase): def test_buffer_info(self): a = bitarray('0000111100001', endian='little') self.assertEqual(a.buffer_info()[1:4], (2, 'little', 3)) a = bitarray() self.assertRaises(TypeError, a.buffer_info, 42) bi = a.buffer_info() self.assert_(isinstance(bi, tuple)) self.assertEqual(len(bi), 5) self.assert_(isinstance(bi[0], int)) if is_py3k: self.assert_(isinstance(bi[1], int)) self.assert_(isinstance(bi[2], str)) self.assert_(isinstance(bi[3], int)) if is_py3k: self.assert_(isinstance(bi[4], int)) for n in range(50): bi = bitarray(n).buffer_info() self.assertEqual(bi[1], bits2bytes(n)) self.assertEqual(bi[3] + n, 8 * bi[1]) self.assert_(bi[4] >= bi[1]) a = bitarray(endian='little') self.assertEqual(a.buffer_info()[2], 'little') a = bitarray(endian='big') self.assertEqual(a.buffer_info()[2], 'big') def test_endian(self): a = bitarray(endian='little') self.assertEqual(a.endian(), 'little') a = bitarray(endian='big') self.assertEqual(a.endian(), 'big') def test_length(self): for n in range(1000): a = bitarray(n) self.assertEqual(len(a), n) self.assertEqual(a.length(), n) tests.append(MetaDataTests) # --------------------------------------------------------------------------- class SliceTests(unittest.TestCase, Util): def test_getitem(self): a = bitarray() self.assertRaises(IndexError, a.__getitem__, 0) a.append(True) self.assertEqual(a[0], True) self.assertRaises(IndexError, a.__getitem__, 1) self.assertRaises(IndexError, a.__getitem__, -2) a.append(False) self.assertEqual(a[1], False) self.assertRaises(IndexError, a.__getitem__, 2) self.assertRaises(IndexError, a.__getitem__, -3) a = bitarray('1100010') for i, b in enumerate([True, True, False, False, False, True, False]): self.assertEqual(a[i], b) self.assertEqual(a[i-7], b) self.assertRaises(IndexError, a.__getitem__, 7) self.assertRaises(IndexError, a.__getitem__, -8) a = bitarray('0100000100001') self.assertEQUAL(a[:], a) self.assert_(a[:] is not a) aa = a.tolist() self.assertEQUAL(a[11:2:-3], bitarray(aa[11:2:-3])) self.check_obj(a[:]) self.assertRaises(ValueError, a.__getitem__, slice(None, None, 0)) self.assertRaises(TypeError, a.__getitem__, (1, 2)) for a in self.randombitarrays(): aa = a.tolist() la = len(a) if la == 0: continue for dum in range(10): step = self.rndsliceidx(la) if step == 0: step = None s = slice(self.rndsliceidx(la), self.rndsliceidx(la), step) self.assertEQUAL(a[s], bitarray(aa[s], endian=a.endian())) def test_setitem(self): a = bitarray([False]) a[0] = 1 self.assertEqual(a.tolist(), [True]) a = bitarray(2) a[0] = 0 a[1] = 1 self.assertEqual(a.tolist(), [False, True]) a[-1] = 0 a[-2] = 1 self.assertEqual(a.tolist(), [True, False]) self.assertRaises(IndexError, a.__setitem__, 2, True) self.assertRaises(IndexError, a.__setitem__, -3, False) for a in self.randombitarrays(): la = len(a) if la == 0: continue i = randint(0, la-1) aa = a.tolist() ida = id(a) val = bool(randint(0, 1)) a[i] = val aa[i] = val self.assertEqual(a.tolist(), aa) self.assertEqual(id(a), ida) self.check_obj(a) b = bitarray(la) b[0:la] = bitarray(a) self.assertEqual(a, b) self.assertNotEqual(id(a), id(b)) b = bitarray(la) b[:] = bitarray(a) self.assertEqual(a, b) self.assertNotEqual(id(a), id(b)) b = bitarray(la) b[::-1] = bitarray(a) self.assertEqual(a.tolist()[::-1], b.tolist()) a = bitarray(5*[False]) a[0] = 1 a[-2] = 1 self.assertEqual(a, bitarray('10010')) self.assertRaises(IndexError, a.__setitem__, 5, 'foo') self.assertRaises(IndexError, a.__setitem__, -6, 'bar') for a in self.randombitarrays(): la = len(a) if la == 0: continue for dum in range(3): step = self.rndsliceidx(la) if step == 0: step = None s = slice(self.rndsliceidx(la), self.rndsliceidx(la), step) for b in self.randombitarrays(): if len(b) == self.slicelen(s, len(a)) or step is None: c = bitarray(a) d = c c[s] = b self.assert_(c is d) self.check_obj(c) cc = a.tolist() cc[s] = b.tolist() self.assertEqual(c, bitarray(cc)) def test_setslice_to_bool(self): a = bitarray('11111111') a[::2] = False self.assertEqual(a, bitarray('01010101')) a[4::] = True self.assertEqual(a, bitarray('01011111')) a[-2:] = False self.assertEqual(a, bitarray('01011100')) a[:2:] = True self.assertEqual(a, bitarray('11011100')) a[:] = True self.assertEqual(a, bitarray('11111111')) def test_delitem(self): a = bitarray('100110') del a[1] self.assertEqual(len(a), 5) del a[3] del a[-2] self.assertEqual(a, bitarray('100')) self.assertRaises(IndexError, a.__delitem__, 3) self.assertRaises(IndexError, a.__delitem__, -4) for a in self.randombitarrays(): la = len(a) if la == 0: continue for dum in range(10): step = self.rndsliceidx(la) if step == 0: step = None s = slice(self.rndsliceidx(la), self.rndsliceidx(la), step) c = bitarray(a) d = c del c[s] self.assert_(c is d) self.check_obj(c) cc = a.tolist() del cc[s] self.assertEQUAL(c, bitarray(cc, endian=c.endian())) tests.append(SliceTests) # --------------------------------------------------------------------------- class MiscTests(unittest.TestCase, Util): def test_booleanness(self): self.assertEqual(bool(bitarray('')), False) self.assertEqual(bool(bitarray('0')), True) self.assertEqual(bool(bitarray('1')), True) def test_iterate(self): for lst in self.randomlists(): acc = [] for b in bitarray(lst): acc.append(b) self.assertEqual(acc, lst) def test_iterable(self): a = iter(bitarray('011')) self.assertEqual(next(a), False) self.assertEqual(next(a), True) self.assertEqual(next(a), True) if is_py3k: self.assertRaises(StopIteration, a.__next__) else: self.assertRaises(StopIteration, a.next) def test_assignment(self): a = bitarray('00110111001') a[1:3] = a[7:9] a[-1:] = a[:1] b = bitarray('01010111000') self.assertEqual(a, b) def test_compare(self): for a in self.randombitarrays(): aa = a.tolist() for b in self.randombitarrays(): bb = b.tolist() self.assertEqual(a == b, aa == bb) self.assertEqual(a != b, aa != bb) self.assertEqual(a <= b, aa <= bb) self.assertEqual(a < b, aa < bb) self.assertEqual(a >= b, aa >= bb) self.assertEqual(a > b, aa > bb) def test_subclassing(self): class ExaggeratingBitarray(bitarray): def __new__(cls, data, offset): return bitarray.__new__(cls, data) def __init__(self, data, offset): self.offset = offset def __getitem__(self, i): return bitarray.__getitem__(self, i - self.offset) for a in self.randombitarrays(): if len(a) == 0: continue b = ExaggeratingBitarray(a, 1234) for i in range(len(a)): self.assertEqual(a[i], b[i+1234]) def test_endianness(self): a = bitarray(endian='little') a.frombytes(to_bytes('\x01')) self.assertEqual(a.to01(), '10000000') b = bitarray(endian='little') b.frombytes(to_bytes('\x80')) self.assertEqual(b.to01(), '00000001') c = bitarray(endian='big') c.frombytes(to_bytes('\x80')) self.assertEqual(c.to01(), '10000000') d = bitarray(endian='big') d.frombytes(to_bytes('\x01')) self.assertEqual(d.to01(), '00000001') self.assertEqual(a, c) self.assertEqual(b, d) a = bitarray(8, endian='little') a.setall(False) a[0] = True self.assertEqual(a.tobytes(), to_bytes('\x01')) a[1] = True self.assertEqual(a.tobytes(), to_bytes('\x03')) a.frombytes(to_bytes(' ')) self.assertEqual(a.tobytes(), to_bytes('\x03 ')) self.assertEqual(a.to01(), '1100000000000100') a = bitarray(8, endian='big') a.setall(False) a[7] = True self.assertEqual(a.tobytes(), to_bytes('\x01')) a[6] = True self.assertEqual(a.tobytes(), to_bytes('\x03')) a.frombytes(to_bytes(' ')) self.assertEqual(a.tobytes(), to_bytes('\x03 ')) self.assertEqual(a.to01(), '0000001100100000') a = bitarray('00100000', endian='big') self.assertEqual(a.tobytes(), to_bytes(' ')) b = bitarray('00000100', endian='little') self.assertEqual(b.tobytes(), to_bytes(' ')) self.assertNotEqual(a, b) a = bitarray('11100000', endian='little') b = bitarray(a, endian='big') self.assertNotEqual(a, b) self.assertEqual(a.tobytes(), b.tobytes()) def test_pickle(self): from pickle import loads, dumps for a in self.randombitarrays(): b = loads(dumps(a)) self.assert_(b is not a) self.assertEQUAL(a, b) def test_cPickle(self): from pickle import loads, dumps for a in self.randombitarrays(): b = loads(dumps(a)) self.assert_(b is not a) self.assertEQUAL(a, b) def test_overflow(self): from platform import architecture if architecture()[0] == '64bit': return self.assertRaises(OverflowError, bitarray.__new__, bitarray, 2**34 + 1) a = bitarray(10**6) self.assertRaises(OverflowError, a.__imul__, 17180) tests.append(MiscTests) # --------------------------------------------------------------------------- class SpecialMethodTests(unittest.TestCase, Util): def test_all(self): a = bitarray() self.assertTrue(a.all()) for a in self.randombitarrays(): self.assertEqual(all(a), a.all()) self.assertEqual(all(a.tolist()), a.all()) def test_any(self): a = bitarray() self.assertFalse(a.any()) for a in self.randombitarrays(): self.assertEqual(any(a), a.any()) self.assertEqual(any(a.tolist()), a.any()) def test_repr(self): a = bitarray() self.assertEqual(repr(a), "bitarray()") a = bitarray('10111') self.assertEqual(repr(a), "bitarray('10111')") for a in self.randombitarrays(): b = eval(repr(a)) self.assert_(b is not a) self.assertEqual(a, b) self.check_obj(b) def test_copy(self): import copy for a in self.randombitarrays(): b = a.copy() self.assert_(b is not a) self.assertEQUAL(a, b) b = copy.copy(a) self.assert_(b is not a) self.assertEQUAL(a, b) b = copy.deepcopy(a) self.assert_(b is not a) self.assertEQUAL(a, b) def assertReallyEqual(self, a, b): # assertEqual first, because it will have a good message if the # assertion fails. self.assertEqual(a, b) self.assertEqual(b, a) self.assertTrue(a == b) self.assertTrue(b == a) self.assertFalse(a != b) self.assertFalse(b != a) if not is_py3k: self.assertEqual(0, cmp(a, b)) self.assertEqual(0, cmp(b, a)) def assertReallyNotEqual(self, a, b): # assertNotEqual first, because it will have a good message if the # assertion fails. self.assertNotEqual(a, b) self.assertNotEqual(b, a) self.assertFalse(a == b) self.assertFalse(b == a) self.assertTrue(a != b) self.assertTrue(b != a) if not is_py3k: self.assertNotEqual(0, cmp(a, b)) self.assertNotEqual(0, cmp(b, a)) def test_equality(self): self.assertReallyEqual(bitarray(''), bitarray('')) self.assertReallyEqual(bitarray('0'), bitarray('0')) self.assertReallyEqual(bitarray('1'), bitarray('1')) def test_not_equality(self): self.assertReallyNotEqual(bitarray(''), bitarray('1')) self.assertReallyNotEqual(bitarray(''), bitarray('0')) self.assertReallyNotEqual(bitarray('0'), bitarray('1')) tests.append(SpecialMethodTests) # --------------------------------------------------------------------------- class NumberTests(unittest.TestCase, Util): def test_add(self): c = bitarray('001') + bitarray('110') self.assertEQUAL(c, bitarray('001110')) for a in self.randombitarrays(): aa = a.copy() for b in self.randombitarrays(): bb = b.copy() c = a + b self.assertEqual(c, bitarray(a.tolist() + b.tolist())) self.assertEqual(c.endian(), a.endian()) self.check_obj(c) self.assertEQUAL(a, aa) self.assertEQUAL(b, bb) a = bitarray() self.assertRaises(TypeError, a.__add__, 42) def test_iadd(self): c = bitarray('001') c += bitarray('110') self.assertEQUAL(c, bitarray('001110')) for a in self.randombitarrays(): for b in self.randombitarrays(): c = bitarray(a) d = c d += b self.assertEqual(d, a + b) self.assert_(c is d) self.assertEQUAL(c, d) self.assertEqual(d.endian(), a.endian()) self.check_obj(d) a = bitarray() self.assertRaises(TypeError, a.__iadd__, 42) def test_mul(self): c = 0 * bitarray('1001111') self.assertEQUAL(c, bitarray()) c = 3 * bitarray('001') self.assertEQUAL(c, bitarray('001001001')) c = bitarray('110') * 3 self.assertEQUAL(c, bitarray('110110110')) for a in self.randombitarrays(): b = a.copy() for n in range(-10, 20): c = a * n self.assertEQUAL(c, bitarray(n * a.tolist(), endian=a.endian())) c = n * a self.assertEqual(c, bitarray(n * a.tolist(), endian=a.endian())) self.assertEQUAL(a, b) a = bitarray() self.assertRaises(TypeError, a.__mul__, None) def test_imul(self): c = bitarray('1101110011') idc = id(c) c *= 0 self.assertEQUAL(c, bitarray()) self.assertEqual(idc, id(c)) c = bitarray('110') c *= 3 self.assertEQUAL(c, bitarray('110110110')) for a in self.randombitarrays(): for n in range(-10, 10): b = a.copy() idb = id(b) b *= n self.assertEQUAL(b, bitarray(n * a.tolist(), endian=a.endian())) self.assertEqual(idb, id(b)) a = bitarray() self.assertRaises(TypeError, a.__imul__, None) tests.append(NumberTests) # --------------------------------------------------------------------------- class BitwiseTests(unittest.TestCase, Util): def test_misc(self): for a in self.randombitarrays(): b = ~a c = a & b self.assertEqual(c.any(), False) self.assertEqual(a, a ^ c) d = a ^ b self.assertEqual(d.all(), True) b &= d self.assertEqual(~b, a) def test_and(self): a = bitarray('11001') b = bitarray('10011') self.assertEQUAL(a & b, bitarray('10001')) b = bitarray('1001') self.assertRaises(ValueError, a.__and__, b) # not same length self.assertRaises(TypeError, a.__and__, 42) def test_iand(self): a = bitarray('110010110') ida = id(a) a &= bitarray('100110011') self.assertEQUAL(a, bitarray('100010010')) self.assertEqual(ida, id(a)) def test_or(self): a = bitarray('11001') b = bitarray('10011') self.assertEQUAL(a | b, bitarray('11011')) def test_iand(self): a = bitarray('110010110') a |= bitarray('100110011') self.assertEQUAL(a, bitarray('110110111')) def test_xor(self): a = bitarray('11001') b = bitarray('10011') self.assertEQUAL(a ^ b, bitarray('01010')) def test_ixor(self): a = bitarray('110010110') a ^= bitarray('100110011') self.assertEQUAL(a, bitarray('010100101')) def test_invert(self): a = bitarray() a.invert() self.assertEQUAL(a, bitarray()) a = bitarray('11011') a.invert() self.assertEQUAL(a, bitarray('00100')) a = bitarray('11011') b = ~a self.assertEQUAL(b, bitarray('00100')) self.assertEQUAL(a, bitarray('11011')) self.assert_(a is not b) for a in self.randombitarrays(): aa = a.tolist() b = bitarray(a) b.invert() for i in range(len(a)): self.assertEqual(b[i], not aa[i]) self.check_obj(b) c = ~a self.assert_(c is not a) self.assertEQUAL(a, bitarray(aa, endian=a.endian())) for i in range(len(a)): self.assertEqual(c[i], not aa[i]) self.check_obj(b) tests.append(BitwiseTests) # --------------------------------------------------------------------------- class SequenceTests(unittest.TestCase, Util): def test_contains(self): a = bitarray() self.assert_(False not in a) self.assert_(True not in a) a.append(True) self.assert_(True in a) self.assert_(False not in a) a = bitarray([False]) self.assert_(False in a) self.assert_(True not in a) a.append(True) self.assert_(0 in a) self.assert_(1 in a) for n in range(2, 100): a = bitarray(n) a.setall(0) self.assert_(False in a) self.assert_(True not in a) a[randint(0, n-1)] = 1 self.assert_(True in a) self.assert_(False in a) a.setall(1) self.assert_(True in a) self.assert_(False not in a) a[randint(0, n-1)] = 0 self.assert_(True in a) self.assert_(False in a) a = bitarray('011010000001') self.assert_('1' in a) self.assert_('11' in a) self.assert_('111' not in a) self.assert_(bitarray('00') in a) self.assert_([0, 0, 0, 1] in a) self.assert_((0, 0, 0, 1, 1) not in a) self.assert_((0, 0, 0, 0, 2) in a) tests.append(SequenceTests) # --------------------------------------------------------------------------- class ExtendTests(unittest.TestCase, Util): def test_wrongArgs(self): a = bitarray() self.assertRaises(TypeError, a.extend) self.assertRaises(TypeError, a.extend, None) self.assertRaises(TypeError, a.extend, True) self.assertRaises(TypeError, a.extend, 24) self.assertRaises(ValueError, a.extend, '0011201') def test_bitarray(self): a = bitarray() a.extend(bitarray()) self.assertEqual(a, bitarray()) a.extend(bitarray('110')) self.assertEqual(a, bitarray('110')) a.extend(bitarray('1110')) self.assertEqual(a, bitarray('1101110')) a = bitarray('00001111', endian='little') a.extend(bitarray('00111100', endian='big')) self.assertEqual(a, bitarray('0000111100111100')) for a in self.randombitarrays(): for b in self.randombitarrays(): c = bitarray(a) idc = id(c) c.extend(b) self.assertEqual(id(c), idc) self.assertEqual(c, a + b) def test_list(self): a = bitarray() a.extend([0, 1, 3, None, {}]) self.assertEqual(a, bitarray('01100')) a.extend([True, False]) self.assertEqual(a, bitarray('0110010')) for a in self.randomlists(): for b in self.randomlists(): c = bitarray(a) idc = id(c) c.extend(b) self.assertEqual(id(c), idc) self.assertEqual(c.tolist(), a + b) self.check_obj(c) def test_iterable(self): def bar(): for x in ('', '1', None, True, []): yield x a = bitarray() a.extend(bar()) self.assertEqual(a, bitarray('01010')) for a in self.randomlists(): for b in self.randomlists(): def foo(): for e in b: yield e c = bitarray(a) idc = id(c) c.extend(foo()) self.assertEqual(id(c), idc) self.assertEqual(c.tolist(), a + b) self.check_obj(c) def test_tuple(self): a = bitarray() a.extend((0, 1, 2, 0, 3)) self.assertEqual(a, bitarray('01101')) for a in self.randomlists(): for b in self.randomlists(): c = bitarray(a) idc = id(c) c.extend(tuple(b)) self.assertEqual(id(c), idc) self.assertEqual(c.tolist(), a + b) self.check_obj(c) def test_iter(self): a = bitarray() a.extend(iter([3, 9, 0, 1, -2])) self.assertEqual(a, bitarray('11011')) for a in self.randomlists(): for b in self.randomlists(): c = bitarray(a) idc = id(c) c.extend(iter(b)) self.assertEqual(id(c), idc) self.assertEqual(c.tolist(), a + b) self.check_obj(c) def test_string01(self): a = bitarray() a.extend('0110111') self.assertEqual(a, bitarray('0110111')) for a in self.randomlists(): for b in self.randomlists(): c = bitarray(a) idc = id(c) c.extend(''.join(('1' if x else '0') for x in b)) self.assertEqual(id(c), idc) self.assertEqual(c.tolist(), a + b) self.check_obj(c) tests.append(ExtendTests) # --------------------------------------------------------------------------- class MethodTests(unittest.TestCase, Util): def test_append(self): a = bitarray() a.append(True) a.append(False) a.append(False) self.assertEQUAL(a, bitarray('100')) for a in self.randombitarrays(): aa = a.tolist() b = a b.append(1) self.assert_(a is b) self.check_obj(b) self.assertEQUAL(b, bitarray(aa+[1], endian=a.endian())) b.append('') self.assertEQUAL(b, bitarray(aa+[1, 0], endian=a.endian())) def test_insert(self): a = bitarray() b = a a.insert(0, True) self.assert_(a is b) self.assertEqual(a, bitarray('1')) self.assertRaises(TypeError, a.insert) self.assertRaises(TypeError, a.insert, None) for a in self.randombitarrays(): aa = a.tolist() item = bool(randint(0, 1)) pos = randint(-len(a), len(a)) a.insert(pos, item) aa.insert(pos, item) self.assertEqual(a.tolist(), aa) self.check_obj(a) def test_index(self): a = bitarray() for i in (True, False, 1, 0): self.assertRaises(ValueError, a.index, i) a = bitarray(100*[False]) self.assertRaises(ValueError, a.index, True) a[20] = a[27] = 54 self.assertEqual(a.index(42), 20) self.assertEqual(a.index(0), 0) a = bitarray(200*[True]) self.assertRaises(ValueError, a.index, False) a[173] = a[187] = 0 self.assertEqual(a.index(False), 173) self.assertEqual(a.index(True), 0) for n in range(50): for m in range(n): a = bitarray(n) a.setall(0) self.assertRaises(ValueError, a.index, 1) a[m] = 1 self.assertEqual(a.index(1), m) a.setall(1) self.assertRaises(ValueError, a.index, 0) a[m] = 0 self.assertEqual(a.index(0), m) def test_count(self): a = bitarray('10011') self.assertEqual(a.count(), 3) self.assertEqual(a.count(True), 3) self.assertEqual(a.count(False), 2) self.assertEqual(a.count(1), 3) self.assertEqual(a.count(0), 2) self.assertRaises(TypeError, a.count, 'A') for a in self.randombitarrays(): self.assertEqual(a.count(), a.count(1)) self.assertEqual(a.count(1), a.to01().count('1')) self.assertEqual(a.count(0), a.to01().count('0')) def test_search(self): a = bitarray('') self.assertEqual(a.search(bitarray('0')), []) self.assertEqual(a.search(bitarray('1')), []) a = bitarray('1') self.assertEqual(a.search(bitarray('0')), []) self.assertEqual(a.search(bitarray('1')), [0]) self.assertEqual(a.search(bitarray('11')), []) a = bitarray(100*'1') self.assertEqual(a.search(bitarray('0')), []) self.assertEqual(a.search(bitarray('1')), list(range(100))) a = bitarray('10011') for s, res in [('0', [1, 2]), ('1', [0, 3, 4]), ('01', [2]), ('11', [3]), ('000', []), ('1001', [0]), ('011', [2]), ('0011', [1]), ('10011', [0]), ('100111', [])]: self.assertEqual(a.search(s), res) b = bitarray(s) self.assertEqual(a.search(b), res) self.assertEqual(a.search(list(b)), res) self.assertEqual(a.search(tuple(b)), res) a = bitarray('10010101110011111001011') for limit in range(10): self.assertEqual(a.search('011', limit), [6, 11, 20][:limit]) # search is overlapping self.assertEqual(a.search('111'), [7, 12, 13, 14]) def test_fill(self): a = bitarray('') self.assertEqual(a.fill(), 0) self.assertEqual(len(a), 0) a = bitarray('101') self.assertEqual(a.fill(), 5) self.assertEQUAL(a, bitarray('10100000')) self.assertEqual(a.fill(), 0) self.assertEQUAL(a, bitarray('10100000')) for a in self.randombitarrays(): aa = a.tolist() la = len(a) b = a self.assert_(0 <= b.fill() < 8) self.assertEqual(b.endian(), a.endian()) bb = b.tolist() lb = len(b) self.assert_(a is b) self.check_obj(b) if la % 8 == 0: self.assertEqual(bb, aa) self.assertEqual(lb, la) else: self.assert_(lb % 8 == 0) self.assertNotEqual(bb, aa) self.assertEqual(bb[:la], aa) self.assertEqual(b[la:], (lb-la)*bitarray('0')) self.assert_(0 < lb-la < 8) def test_sort(self): a = bitarray('1101000') a.sort() self.assertEqual(a, bitarray('0000111')) a = bitarray('1101000') a.sort(reverse=True) self.assertEqual(a, bitarray('1110000')) a = bitarray('1101000') a.sort(True) self.assertEqual(a, bitarray('1110000')) self.assertRaises(TypeError, a.sort, 'A') for a in self.randombitarrays(): ida = id(a) rev = randint(0, 1) a.sort(rev) self.assertEqual(a, bitarray(sorted(a.tolist(), reverse=rev))) self.assertEqual(id(a), ida) def test_reverse(self): self.assertRaises(TypeError, bitarray().reverse, 42) a = bitarray() a.reverse() self.assertEQUAL(a, bitarray()) a = bitarray('1001111') a.reverse() self.assertEQUAL(a, bitarray('1111001')) a = bitarray('11111000011') a.reverse() self.assertEQUAL(a, bitarray('11000011111')) for a in self.randombitarrays(): aa = a.tolist() ida = id(a) a.reverse() self.assertEqual(ida, id(a)) self.assertEQUAL(a, bitarray(aa[::-1], endian=a.endian())) def test_tolist(self): a = bitarray() self.assertEqual(a.tolist(), []) a = bitarray('110') self.assertEqual(a.tolist(), [True, True, False]) for lst in self.randomlists(): a = bitarray(lst) self.assertEqual(a.tolist(), lst) def test_remove(self): a = bitarray() for i in (True, False, 1, 0): self.assertRaises(ValueError, a.remove, i) a = bitarray(21) a.setall(0) self.assertRaises(ValueError, a.remove, 1) a.setall(1) self.assertRaises(ValueError, a.remove, 0) a = bitarray('1010110') a.remove(False); self.assertEqual(a, bitarray('110110')) a.remove(True); self.assertEqual(a, bitarray('10110')) a.remove(1); self.assertEqual(a, bitarray('0110')) a.remove(0); self.assertEqual(a, bitarray('110')) a = bitarray('0010011') b = a b.remove('1') self.assert_(b is a) self.assertEQUAL(b, bitarray('000011')) def test_pop(self): a = bitarray() self.assertRaises(IndexError, a.pop) for a in self.randombitarrays(): self.assertRaises(IndexError, a.pop, len(a)) self.assertRaises(IndexError, a.pop, -len(a)-1) if len(a) == 0: continue aa = a.tolist() enda = a.endian() self.assertEqual(a.pop(), aa[-1]) self.check_obj(a) self.assertEqual(a.endian(), enda) for a in self.randombitarrays(): if len(a) == 0: continue n = randint(-len(a), len(a)-1) aa = a.tolist() self.assertEqual(a.pop(n), aa[n]) self.check_obj(a) def test_setall(self): a = bitarray(5) a.setall(True) self.assertEQUAL(a, bitarray('11111')) for a in self.randombitarrays(): val = randint(0, 1) b = a b.setall(val) self.assertEqual(b, bitarray(len(b)*[val])) self.assert_(a is b) self.check_obj(b) def test_bytereverse(self): a = bitarray() a.bytereverse() self.assertEqual(a, bitarray()) a = bitarray('1011') a.bytereverse() self.assertEqual(a, bitarray('0000')) a = bitarray('111011') a.bytereverse() self.assertEqual(a, bitarray('001101')) a = bitarray('11101101') a.bytereverse() self.assertEqual(a, bitarray('10110111')) for i in range(256): a = bitarray() a.frombytes(to_bytes(chr(i))) aa = a.tolist() b = a b.bytereverse() self.assertEqual(b, bitarray(aa[::-1])) self.assert_(a is b) self.check_obj(b) tests.append(MethodTests) # --------------------------------------------------------------------------- class StringTests(unittest.TestCase, Util): def randombytes(self): for n in range(1, 20): yield to_bytes(''.join(chr(randint(0, 255)) for x in range(n))) def test_frombytes(self): a = bitarray(endian='big') a.frombytes(to_bytes('A')) self.assertEqual(a, bitarray('01000001')) b = a b.frombytes(to_bytes('BC')) self.assertEQUAL(b, bitarray('01000001' '01000010' '01000011')) self.assert_(b is a) for b in self.randombitarrays(): c = b.__copy__() b.frombytes(to_bytes('')) self.assertEQUAL(b, c) for b in self.randombitarrays(): for s in self.randombytes(): a = bitarray(endian=b.endian()) a.frombytes(s) c = b.__copy__() b.frombytes(s) self.assertEQUAL(b[-len(a):], a) self.assertEQUAL(b[:-len(a)], c) self.assertEQUAL(c + a, b) def test_tobytes(self): a = bitarray() self.assertEqual(a.tobytes(), to_bytes('')) for end in ('big', 'little'): a = bitarray(endian=end) a.frombytes(to_bytes('foo')) self.assertEqual(a.tobytes(), to_bytes('foo')) for s in self.randombytes(): a = bitarray(endian=end) a.frombytes(s) self.assertEqual(a.tobytes(), s) for n, s in [(1, '\x01'), (2, '\x03'), (3, '\x07'), (4, '\x0f'), (5, '\x1f'), (6, '\x3f'), (7, '\x7f'), (8, '\xff'), (12, '\xff\x0f'), (15, '\xff\x7f'), (16, '\xff\xff'), (17, '\xff\xff\x01'), (24, '\xff\xff\xff')]: a = bitarray(n, endian='little') a.setall(1) self.assertEqual(a.tobytes(), to_bytes(s)) def test_unpack(self): a = bitarray('01') self.assertEqual(a.unpack(), to_bytes('\x00\xff')) self.assertEqual(a.unpack(to_bytes('A')), to_bytes('A\xff')) self.assertEqual(a.unpack(to_bytes('0'), to_bytes('1')), to_bytes('01')) self.assertEqual(a.unpack(one=to_bytes('\x01')), to_bytes('\x00\x01')) self.assertEqual(a.unpack(zero=to_bytes('A')), to_bytes('A\xff')) self.assertEqual(a.unpack(one=to_bytes('t'), zero=to_bytes('f')), to_bytes('ft')) self.assertRaises(TypeError, a.unpack, to_bytes('a'), zero=to_bytes('b')) self.assertRaises(TypeError, a.unpack, foo=to_bytes('b')) for a in self.randombitarrays(): self.assertEqual(a.unpack(to_bytes('0'), to_bytes('1')), to_bytes(a.to01())) b = bitarray() b.pack(a.unpack()) self.assertEqual(b, a) b = bitarray() b.pack(a.unpack(to_bytes('\x01'), to_bytes('\x00'))) b.invert() self.assertEqual(b, a) def test_pack(self): a = bitarray() a.pack(to_bytes('\x00')) self.assertEqual(a, bitarray('0')) a.pack(to_bytes('\xff')) self.assertEqual(a, bitarray('01')) a.pack(to_bytes('\x01\x00\x7a')) self.assertEqual(a, bitarray('01101')) a = bitarray() for n in range(256): a.pack(to_bytes(chr(n))) self.assertEqual(a, bitarray('0' + 255 * '1')) self.assertRaises(TypeError, a.pack, 0) if is_py3k: self.assertRaises(TypeError, a.pack, '1') self.assertRaises(TypeError, a.pack, [1, 3]) self.assertRaises(TypeError, a.pack, bitarray()) tests.append(StringTests) # --------------------------------------------------------------------------- class FileTests(unittest.TestCase, Util): def setUp(self): self.tmpdir = tempfile.mkdtemp() self.tmpfname = os.path.join(self.tmpdir, 'testfile') def tearDown(self): shutil.rmtree(self.tmpdir) def test_cPickle(self): from pickle import load, dump for a in self.randombitarrays(): fo = open(self.tmpfname, 'wb') dump(a, fo) fo.close() b = load(open(self.tmpfname, 'rb')) self.assert_(b is not a) self.assertEQUAL(a, b) def test_shelve(self): import shelve, hashlib d = shelve.open(self.tmpfname) stored = [] for a in self.randombitarrays(): key = hashlib.md5(repr(a).encode() + a.endian().encode()).hexdigest() d[key] = a stored.append((key, a)) d.close() del d d = shelve.open(self.tmpfname) for k, v in stored: self.assertEQUAL(d[k], v) d.close() def test_fromfile_wrong_args(self): b = bitarray() self.assertRaises(TypeError, b.fromfile) self.assertRaises(TypeError, b.fromfile, StringIO()) # file not open self.assertRaises(TypeError, b.fromfile, 42) self.assertRaises(TypeError, b.fromfile, 'bar') def test_from_empty_file(self): fo = open(self.tmpfname, 'wb') fo.close() a = bitarray() a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(a, bitarray()) def test_from_large_file(self): N = 100000 fo = open(self.tmpfname, 'wb') fo.write(N * to_bytes('X')) fo.close() a = bitarray() a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(len(a), 8 * N) self.assertEqual(a.buffer_info()[1], N) # make sure there is no over-allocation self.assertEqual(a.buffer_info()[4], N) def test_fromfile_Foo(self): fo = open(self.tmpfname, 'wb') fo.write(to_bytes('Foo\n')) fo.close() a = bitarray(endian='big') a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(a, bitarray('01000110011011110110111100001010')) a = bitarray(endian='little') a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(a, bitarray('01100010111101101111011001010000')) a = bitarray('1', endian='little') a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(a, bitarray('101100010111101101111011001010000')) for n in range(20): a = bitarray(n, endian='little') a.setall(1) a.fromfile(open(self.tmpfname, 'rb')) self.assertEqual(a, n*bitarray('1') + bitarray('01100010111101101111011001010000')) def test_fromfile_n(self): a = bitarray() a.fromstring('ABCDEFGHIJ') fo = open(self.tmpfname, 'wb') a.tofile(fo) fo.close() b = bitarray() f = open(self.tmpfname, 'rb') b.fromfile(f, 1); self.assertEqual(b.tostring(), 'A') f.read(1) b = bitarray() b.fromfile(f, 2); self.assertEqual(b.tostring(), 'CD') b.fromfile(f, 1); self.assertEqual(b.tostring(), 'CDE') b.fromfile(f, 0); self.assertEqual(b.tostring(), 'CDE') b.fromfile(f); self.assertEqual(b.tostring(), 'CDEFGHIJ') b.fromfile(f); self.assertEqual(b.tostring(), 'CDEFGHIJ') f.close() b = bitarray() f = open(self.tmpfname, 'rb') f.read(1); self.assertRaises(EOFError, b.fromfile, f, 10) f.close() self.assertEqual(b.tostring(), 'BCDEFGHIJ') b = bitarray() f = open(self.tmpfname, 'rb') b.fromfile(f); self.assertEqual(b.tostring(), 'ABCDEFGHIJ') self.assertRaises(EOFError, b.fromfile, f, 1) f.close() def test_tofile(self): a = bitarray() f = open(self.tmpfname, 'wb') a.tofile(f) f.close() fi = open(self.tmpfname, 'rb') self.assertEqual(fi.read(), to_bytes('')) fi.close() a = bitarray('01000110011011110110111100001010', endian='big') f = open(self.tmpfname, 'wb') a.tofile(f) f.close() fi = open(self.tmpfname, 'rb') self.assertEqual(fi.read(), to_bytes('Foo\n')) fi.close() for a in self.randombitarrays(): b = bitarray(a, endian='big') fo = open(self.tmpfname, 'wb') b.tofile(fo) fo.close() s = open(self.tmpfname, 'rb').read() self.assertEqual(len(s), a.buffer_info()[1]) for n in range(3): a.fromstring(n * 'A') self.assertRaises(TypeError, a.tofile) self.assertRaises(TypeError, a.tofile, StringIO()) f = open(self.tmpfname, 'wb') a.tofile(f) f.close() self.assertRaises(TypeError, a.tofile, f) for n in range(20): a = n * bitarray('1', endian='little') fo = open(self.tmpfname, 'wb') a.tofile(fo) fo.close() s = open(self.tmpfname, 'rb').read() self.assertEqual(len(s), a.buffer_info()[1]) b = a.__copy__() b.fill() c = bitarray(endian='little') c.frombytes(s) self.assertEqual(c, b) tests.append(FileTests) # --------------------------------------------------------------------------- class PrefixCodeTests(unittest.TestCase): def test_encode_check_codedict(self): a = bitarray() self.assertRaises(TypeError, a.encode, 0, '') self.assertRaises(ValueError, a.encode, {}, '') self.assertRaises(TypeError, a.encode, {'a':42}, '') self.assertRaises(ValueError, a.encode, {'a':bitarray()}, '') # 42 not iterable self.assertRaises(TypeError, a.encode, {'a':bitarray('0')}, 42) self.assertEqual(len(a), 0) def test_encode_string(self): a = bitarray() d = {'a':bitarray('0')} a.encode(d, '') self.assertEqual(a, bitarray()) a.encode(d, 'a') self.assertEqual(a, bitarray('0')) self.assertEqual(d, {'a':bitarray('0')}) def test_encode_list(self): a = bitarray() d = {'a':bitarray('0')} a.encode(d, []) self.assertEqual(a, bitarray()) a.encode(d, ['a']) self.assertEqual(a, bitarray('0')) self.assertEqual(d, {'a':bitarray('0')}) def test_encode_iter(self): a = bitarray() d = {'a':bitarray('0'), 'b':bitarray('1')} a.encode(d, iter('abba')) self.assertEqual(a, bitarray('0110')) def foo(): for c in 'bbaabb': yield c a.encode(d, foo()) self.assertEqual(a, bitarray('0110110011')) self.assertEqual(d, {'a':bitarray('0'), 'b':bitarray('1')}) def test_encode(self): d = {'I':bitarray('1'), 'l':bitarray('01'), 'a':bitarray('001'), 'n':bitarray('000')} a = bitarray() a.encode(d, 'Ilan') self.assertEqual(a, bitarray('101001000')) a.encode(d, 'a') self.assertEqual(a, bitarray('101001000001')) self.assertEqual(d, {'I':bitarray('1'), 'l':bitarray('01'), 'a':bitarray('001'), 'n':bitarray('000')}) self.assertRaises(ValueError, a.encode, d, 'arvin') def test_decode_check_codedict(self): a = bitarray() self.assertRaises(TypeError, a.decode, 0) self.assertRaises(ValueError, a.decode, {}) # 42 not iterable self.assertRaises(TypeError, a.decode, {'a':42}) self.assertRaises(ValueError, a.decode, {'a':bitarray()}) def test_decode_simple(self): d = {'I':bitarray('1'), 'l':bitarray('01'), 'a':bitarray('001'), 'n':bitarray('000')} a = bitarray('101001000') self.assertEqual(a.decode(d), ['I', 'l', 'a', 'n']) self.assertEqual(d, {'I':bitarray('1'), 'l':bitarray('01'), 'a':bitarray('001'), 'n':bitarray('000')}) self.assertEqual(a, bitarray('101001000')) def test_decode_empty(self): d = {'a':bitarray('1')} a = bitarray() self.assertEqual(a.decode(d), []) self.assertEqual(d, {'a':bitarray('1')}) def test_decode_buggybitarray(self): d = {'a':bitarray('0')} a = bitarray('1') self.assertRaises(ValueError, a.decode, d) self.assertEqual(a, bitarray('1')) self.assertEqual(d, {'a':bitarray('0')}) def test_decode_buggybitarray2(self): d = {'a':bitarray('00'), 'b':bitarray('01')} a = bitarray('1') self.assertRaises(ValueError, a.decode, d) self.assertEqual(a, bitarray('1')) def test_decode_ambiguous_code(self): d = {'a':bitarray('0'), 'b':bitarray('0'), 'c':bitarray('1')} a = bitarray() self.assertRaises(ValueError, a.decode, d) def test_decode_ambiguous2(self): d = {'a':bitarray('01'), 'b':bitarray('01'), 'c':bitarray('1')} a = bitarray() self.assertRaises(ValueError, a.decode, d) def test_miscitems(self): d = {None :bitarray('00'), 0 :bitarray('110'), 1 :bitarray('111'), '' :bitarray('010'), 2 :bitarray('011')} a = bitarray() a.encode(d, [None, 0, 1, '', 2]) self.assertEqual(a, bitarray('00110111010011')) self.assertEqual(a.decode(d), [None, 0, 1, '', 2]) def test_real_example(self): code = {' ' : bitarray('001'), '.' : bitarray('0101010'), 'a' : bitarray('0110'), 'b' : bitarray('0001100'), 'c' : bitarray('000011'), 'd' : bitarray('01011'), 'e' : bitarray('111'), 'f' : bitarray('010100'), 'g' : bitarray('101000'), 'h' : bitarray('00000'), 'i' : bitarray('1011'), 'j' : bitarray('0111101111'), 'k' : bitarray('00011010'), 'l' : bitarray('01110'), 'm' : bitarray('000111'), 'n' : bitarray('1001'), 'o' : bitarray('1000'), 'p' : bitarray('101001'), 'q' : bitarray('00001001101'), 'r' : bitarray('1101'), 's' : bitarray('1100'), 't' : bitarray('0100'), 'u' : bitarray('000100'), 'v' : bitarray('0111100'), 'w' : bitarray('011111'), 'x' : bitarray('0000100011'), 'y' : bitarray('101010'), 'z' : bitarray('00011011110')} a = bitarray() a.encode(code, 'the quick brown fox jumps over the lazy dog.') self.assertEqual(a, bitarray('01000000011100100001001101000100101100' '00110001101000100011001101100001111110010010101001000000010001100' '10111101111000100000111101001110000110000111100111110100101000000' '0111001011100110000110111101010100010101110001010000101010')) self.assertEqual(''.join(a.decode(code)), 'the quick brown fox jumps over the lazy dog.') tests.append(PrefixCodeTests) # --------------------------------------------------------------------------- def pages(): if sys.platform != 'linux2': return 0 dat = open('/proc/%i/statm' % os.getpid()).read() return int(dat.split()[0]) def check_memory_leaks(verbosity): suite = unittest.TestSuite() for cls in tests: suite.addTest(unittest.makeSuite(cls)) logfile = 'pages.log' if os.path.isfile(logfile): os.unlink(logfile) i = 0 runner = unittest.TextTestRunner(verbosity=verbosity) while True: print('Run', i) r = runner.run(suite) if i % 1 == 0: fo = open(logfile, 'a') fo.write('%10i %r %10i\n' % (i, r.wasSuccessful(), pages())) fo.close() i += 1 def run(verbosity, chk_mem_leaks=False): suite = unittest.TestSuite() for cls in tests: suite.addTest(unittest.makeSuite(cls)) runner = unittest.TextTestRunner(verbosity=verbosity) return runner.run(suite) if __name__ == '__main__': verbosity = 2 if 'v' in sys.argv else 1 if 'm' in sys.argv: check_memory_leaks(verbosity) else: run(verbosity) else: from bitarray import __version__ print('bitarray is installed in:', os.path.dirname(__file__)) print('bitarray version:', __version__) print(sys.version)

import argparse import os import pickle from typing import Callable import pandas as pd import torch from torch.optim import Adagrad, Adadelta, Adam from common.data_iterator import DataLoader, NegativeSampler, TestIterator from config import CONFIG from model.callbacks import ModelCheckPoint, MlflowLogger from model.hrnn4recom import HRNN from model.loss_functions import TOP1Loss from model.metrics import nDCG, RecallAtK def args(): parser = argparse.ArgumentParser() parser.add_argument('-v', '--model_version', required=True, help='모델 버전', type=str) parser.add_argument('-d', '--dataset', default='10M', choices=['10M', '1M', 'BRUNCH'], help='데이터셋', type=str) parser.add_argument('-k', '--eval_k', default=25, help='', type=int) parser.add_argument('-lr', '--learning_rate', default=0.1, help='learning rate', type=float) parser.add_argument('-o', '--dropout', default=0.2, help='dropout', type=float) parser.add_argument('-bs', '--batch_size', default=50, help='batch size', type=int) parser.add_argument('-ns', '--negative_sample', default=0, help='negative sample size', type=int) return parser.parse_args() def get_optimizer(model, name: str, lr: float) -> Callable: """ optimizer를 return 하는 함수 Args: name: optimizer name lr: learning rate Returns: pytorch optimizer function """ functions = { 'Adagrad': Adagrad(model.parameters(), lr=lr, eps=0.00001, weight_decay=0.0), 'Adadelta': Adadelta(model.parameters(), lr=lr, eps=1e-06, weight_decay=0.0), 'Adam': Adam(model.parameters(), lr=lr, betas=(0.9, 0.999), eps=1e-06, weight_decay=0.0, amsgrad=False) } try: return functions[name] except KeyError: raise ValueError(f'optimizer [{name}] not exist, available optimizer {list(functions.keys())}') if __name__ == '__main__': argument = args() device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu') model_params = { 'hiddenUnits': 100, # 500 'negativeSampleSize': argument.negative_sample, 'learningRate': argument.learning_rate, 'loss': 'TOP1Loss', 'optimizer': 'Adagrad', #Adagrad 'k': argument.eval_k, 'dropout': argument.dropout, 'batchSize': argument.batch_size } print('loading data...') data_dir = os.path.join(CONFIG.DATA, argument.dataset) train_dataset = pickle.load(open(os.path.join(data_dir, f'train.pkl'), 'rb')) context_dataset = pickle.load(open(os.path.join(data_dir, f'valid.pkl'), 'rb')) item_meta = pd.read_csv(os.path.join(data_dir, f'item_meta.tsv'), sep='\t', low_memory=False) item_size = int(item_meta.item_id.max() + 1) model_params['itemSize'] = item_size n_sampler = NegativeSampler(item_meta, sample_size=model_params['negativeSampleSize']) train_dataloader = DataLoader( train_dataset, batch_size=model_params['batchSize'], device=device, negative_sampler=n_sampler if model_params['negativeSampleSize'] > 0 else None ) test_iterator = TestIterator( os.path.join(data_dir, 'negative_test.dat'), context_dataset, device=device ) hrnn = HRNN( model_params['hiddenUnits'], item_size, device=device, k=model_params['k'], dropout=model_params['dropout'] ) loss_func = TOP1Loss() optimizer = get_optimizer(hrnn, model_params['optimizer'], lr=model_params['learningRate']) metrics = [nDCG(), RecallAtK()] model_name = f'hrnn_v{argument.model_version}' callbacks = [ ModelCheckPoint( os.path.join( '.', 'result', argument.dataset, model_name + '-e{epoch:02d}-loss{val_loss:1.4f}-nDCG{val_nDCG:1.3f}.zip'), monitor='val_nDCG', mode='max' ) , MlflowLogger(f'{argument.dataset}', model_params, run_name=model_name, log_model=False) ] print(hrnn) print(f"device : {device}") hrnn.fit( 50, train_dataloader, test_iterator, loss_func=loss_func, optimizer=optimizer, metrics=metrics, callback=callbacks, sample=1. )

import datetime import os import time from numpy.lib import index_tricks import torch import torch.utils.data import transforms as T from torch import nn import torchvision import numpy as np import scipy.io import random from PIL import Image import matplotlib.image as mpimg from tqdm import tqdm from coco_utils import get_coco import presets import utils from torchvision import utils as torch_utils import os import sys import torch import torch.distributed as dist import matplotlib.pyplot as plt import math from torchvision.utils import save_image import torch import torchvision from torch.utils.tensorboard import SummaryWriter from models.segmentation.segmentation import _load_model import csv from torchvision.utils import save_image seed=565 random.seed(seed) os.environ['PYTHONHASHSEED'] = str(seed) np.random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed(seed) torch.cuda.manual_seed_all(seed) # if you are using multi-GPU. torch.backends.cudnn.benchmark = False torch.backends.cudnn.deterministic = True g = torch.Generator() g.manual_seed(seed) evaluate_step = 0 train_step = 0 def get_dataset(dir_path, name, image_set, transform): def sbd(*args, **kwargs): return torchvision.datasets.SBDataset(*args, mode='segmentation', **kwargs) paths = { "coco": (dir_path, get_coco, 21), "voc": (dir_path, torchvision.datasets.VOCSegmentation, 21), "voc_aug": (dir_path, sbd, 21) } p, ds_fn, num_classes = paths[name] if name == "voc": ds = ds_fn(p, year="2012", image_set=image_set, transforms=transform, download=False) elif name == "voc_aug": ds = ds_fn(p, image_set=image_set, transforms=transform, download=False) else: ds = ds_fn(p, image_set=image_set, transforms=transform, download=False) return ds, num_classes def get_transform(train): base_size = 520 crop_size = 480 return presets.SegmentationPresetTrain(base_size, crop_size) if train else presets.SegmentationPresetEval(base_size, contrast=args.contrast, grid_size=args.grid_size) def main(args): utils.init_distributed_mode(args) print(args) iterator = utils.Iterator() device = torch.device(args.device) dataset, num_classes = get_dataset(args.data_path, args.dataset, "train", get_transform(train=True)) dataset_test, _ = get_dataset(args.data_path, args.dataset, "val", get_transform(train=False)) if args.distributed: train_sampler = torch.utils.data.distributed.DistributedSampler(dataset) test_sampler = torch.utils.data.distributed.DistributedSampler(dataset_test) else: train_sampler = torch.utils.data.RandomSampler(dataset) test_sampler = torch.utils.data.SequentialSampler(dataset_test) data_loader = torch.utils.data.DataLoader( dataset, batch_size=args.batch_size, sampler=train_sampler, num_workers=args.workers, collate_fn=utils.collate_fn, drop_last=True) data_loader_test = torch.utils.data.DataLoader( dataset_test, batch_size=1, sampler=test_sampler, num_workers=args.workers, collate_fn=utils.collate_fn) torch.save(data_loader_test, '/home/AD/rraina/segmentation_benchmark/semseg/dataloaders/dataloader_test_contrast(1.0,{:.1f}).pth'.format(args.contrast)) def get_args_parser(add_help=True): import argparse parser = argparse.ArgumentParser(description='PyTorch Segmentation Training', add_help=add_help) parser.add_argument('--data-path', default='/home/AD/rraina/segmentation_benchmark/', help='dataset path') parser.add_argument('--seed', default=429, type=float, help='seed') parser.add_argument('--dataset', default='coco', help='dataset name') parser.add_argument('--model', default='deeplabv3', help='model') parser.add_argument('--backbone', default='resnet101', help='backbone') parser.add_argument('--aux-loss', action='store_true', help='auxiliar loss') parser.add_argument('--device', default='cuda', help='device') parser.add_argument('-b', '--batch-size', default=8, type=int) parser.add_argument('--epochs', default=30, type=int, metavar='N', help='number of total epochs to run') parser.add_argument('-j', '--workers', default=16, type=int, metavar='N', help='number of data loading workers (default: 16)') parser.add_argument('--lr', default=0.01, type=float, help='initial learning rate') parser.add_argument('--momentum', default=0.9, type=float, metavar='M', help='momentum') parser.add_argument('--wd', '--weight-decay', default=1e-4, type=float, metavar='W', help='weight decay (default: 1e-4)', dest='weight_decay') parser.add_argument('--contrast', default=1.0, type=float) parser.add_argument('--grid-size', default=20, type=int) parser.add_argument('--print-freq', default=10, type=int, help='print frequency') parser.add_argument('--output', default='./deeplabv3resnet50', help='path where to save') parser.add_argument('--use-tensorboard', dest="use_tensorboard", help="Flag to use tensorboard", action="store_true",) parser.add_argument('--tensorboard-dir', default='runs', help='path where to save tensorboard') parser.add_argument('--resume', default='', help='resume from checkpoint') parser.add_argument('--start-epoch', default=0, type=int, metavar='N', help='start epoch') parser.add_argument( "--test-only", dest="test_only", help="Only test the model", action="store_true", ) parser.add_argument( "--pretrained", dest="pretrained", help="Use pre-trained models from the modelzoo", action="store_true", ) # distributed training parameters parser.add_argument('--world-size', default=1, type=int, help='number of distributed processes') parser.add_argument('--dist-url', default='env://', help='url used to set up distributed training') return parser if __name__ == "__main__": args = get_args_parser().parse_args() if args.use_tensorboard: writer = SummaryWriter(str(args.tensorboard_dir)) main(args)